From eac04a4c45ad7d4777786f81e69bfa79a59a5dfe Mon Sep 17 00:00:00 2001 From: "ci.datadog-api-spec" Date: Thu, 20 Aug 2026 01:36:06 +0000 Subject: [PATCH] Regenerate client from commit bdca1cc of spec repo --- hugo/config/_default/menus/api.en.yaml | 276 ++++---- .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../list-agent-observability-prompts/index.md | 3 + .../list-agent-observability-spans/index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../search-agent-observability-spans/index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../index.md | 3 + .../en/api/v1/usage-metering/examples.json | 4 +- .../en/api/v2/llm-observability/examples.json | 160 ++--- hugo/data/api/v1/full_spec.yaml | 40 +- hugo/data/api/v2/CodeExamples.json | 12 +- hugo/data/api/v2/full_spec.yaml | 602 +++++++++--------- hugo/data/api/v2/translate_actions.json | 224 +++---- hugo/data/api/v2/translate_tags.json | 2 +- 54 files changed, 798 insertions(+), 660 deletions(-) create mode 100644 hugo/content/en/api/latest/llm-observability/aggregate-agent-observability-experimentation/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/append-records-to-an-agent-observability-dataset/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/batch-update-agent-observability-dataset-records/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/clone-an-agent-observability-dataset/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/create-a-new-agent-observability-prompt-version/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/create-an-agent-observability-annotation-queue/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/create-an-agent-observability-dataset/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/create-an-agent-observability-experiment/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/create-an-agent-observability-project/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/create-an-agent-observability-prompt/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/delete-agent-observability-dataset-records/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/delete-agent-observability-datasets/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/delete-agent-observability-experiments/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/delete-agent-observability-projects/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/delete-an-agent-observability-annotation-queue/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/delete-an-agent-observability-prompt/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/export-an-agent-observability-dataset/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/get-a-specific-agent-observability-prompt-version/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/get-agent-observability-dataset-draft-state/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/get-an-agent-observability-prompt/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/list-agent-observability-annotation-queues/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/list-agent-observability-dataset-records/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/list-agent-observability-dataset-versions/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/list-agent-observability-datasets/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/list-agent-observability-experiment-events-v2/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/list-agent-observability-experiment-spans-v1/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/list-agent-observability-experiments/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/list-agent-observability-projects/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/list-agent-observability-prompts/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/list-agent-observability-spans/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/list-events-for-an-agent-observability-experiment/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/list-versions-of-an-agent-observability-prompt/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/lock-agent-observability-dataset-draft-state/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/push-events-for-an-agent-observability-experiment/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/restore-an-agent-observability-dataset-version/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/search-agent-observability-experimentation/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/search-agent-observability-spans/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/unlock-agent-observability-dataset-draft-state/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/update-agent-observability-dataset-records/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/update-an-agent-observability-annotation-queue/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/update-an-agent-observability-dataset/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/update-an-agent-observability-experiment/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/update-an-agent-observability-project/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/update-an-agent-observability-prompt-version/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/update-an-agent-observability-prompt/index.md create mode 100644 hugo/content/en/api/latest/llm-observability/upload-records-to-an-agent-observability-dataset/index.md diff --git a/hugo/config/_default/menus/api.en.yaml b/hugo/config/_default/menus/api.en.yaml index bb2100ee89e..ac2a4ae77a0 100644 --- a/hugo/config/_default/menus/api.en.yaml +++ b/hugo/config/_default/menus/api.en.yaml @@ -14489,9 +14489,9 @@ menu: url: /api/latest/llm-observability/ identifier: llm-observability generated: true - - name: List events for an LLM Observability experiment - url: /api/latest/llm-observability/list-events-for-an-llm-observability-experiment/ - identifier: llm-observability-list-events-for-an-llm-observability-experiment + - name: List events for an Agent Observability experiment + url: /api/latest/llm-observability/list-events-for-an-agent-observability-experiment/ + identifier: llm-observability-list-events-for-an-agent-observability-experiment parent: llm-observability generated: true params: @@ -14502,9 +14502,9 @@ menu: unstable: - v2 order: 30 - - name: Upload records to an LLM Observability dataset - url: /api/latest/llm-observability/upload-records-to-an-llm-observability-dataset/ - identifier: llm-observability-upload-records-to-an-llm-observability-dataset + - name: Upload records to an Agent Observability dataset + url: /api/latest/llm-observability/upload-records-to-an-agent-observability-dataset/ + identifier: llm-observability-upload-records-to-an-agent-observability-dataset parent: llm-observability generated: true params: @@ -14515,9 +14515,9 @@ menu: unstable: - v2 order: 48 - - name: List LLM Observability experiment events (v2) - url: /api/latest/llm-observability/list-llm-observability-experiment-events-v2/ - identifier: llm-observability-list-llm-observability-experiment-events-v2 + - name: List Agent Observability experiment events (v2) + url: /api/latest/llm-observability/list-agent-observability-experiment-events-v2/ + identifier: llm-observability-list-agent-observability-experiment-events-v2 parent: llm-observability generated: true params: @@ -14528,9 +14528,9 @@ menu: unstable: - v2 order: 50 - - name: List LLM Observability dataset versions - url: /api/latest/llm-observability/list-llm-observability-dataset-versions/ - identifier: llm-observability-list-llm-observability-dataset-versions + - name: List Agent Observability dataset versions + url: /api/latest/llm-observability/list-agent-observability-dataset-versions/ + identifier: llm-observability-list-agent-observability-dataset-versions parent: llm-observability generated: true params: @@ -14541,9 +14541,9 @@ menu: unstable: - v2 order: 43 - - name: Restore an LLM Observability dataset version - url: /api/latest/llm-observability/restore-an-llm-observability-dataset-version/ - identifier: llm-observability-restore-an-llm-observability-dataset-version + - name: Restore an Agent Observability dataset version + url: /api/latest/llm-observability/restore-an-agent-observability-dataset-version/ + identifier: llm-observability-restore-an-agent-observability-dataset-version parent: llm-observability generated: true params: @@ -14554,9 +14554,9 @@ menu: unstable: - v2 order: 47 - - name: Delete LLM Observability dataset records - url: /api/latest/llm-observability/delete-llm-observability-dataset-records/ - identifier: llm-observability-delete-llm-observability-dataset-records + - name: Delete Agent Observability dataset records + url: /api/latest/llm-observability/delete-agent-observability-dataset-records/ + identifier: llm-observability-delete-agent-observability-dataset-records parent: llm-observability generated: true params: @@ -14567,9 +14567,9 @@ menu: unstable: - v2 order: 12 - - name: Append records to an LLM Observability dataset - url: /api/latest/llm-observability/append-records-to-an-llm-observability-dataset/ - identifier: llm-observability-append-records-to-an-llm-observability-dataset + - name: Append records to an Agent Observability dataset + url: /api/latest/llm-observability/append-records-to-an-agent-observability-dataset/ + identifier: llm-observability-append-records-to-an-agent-observability-dataset parent: llm-observability generated: true params: @@ -14580,9 +14580,9 @@ menu: unstable: - v2 order: 8 - - name: Update LLM Observability dataset records - url: /api/latest/llm-observability/update-llm-observability-dataset-records/ - identifier: llm-observability-update-llm-observability-dataset-records + - name: Update Agent Observability dataset records + url: /api/latest/llm-observability/update-agent-observability-dataset-records/ + identifier: llm-observability-update-agent-observability-dataset-records parent: llm-observability generated: true params: @@ -14593,9 +14593,9 @@ menu: unstable: - v2 order: 10 - - name: List LLM Observability dataset records - url: /api/latest/llm-observability/list-llm-observability-dataset-records/ - identifier: llm-observability-list-llm-observability-dataset-records + - name: List Agent Observability dataset records + url: /api/latest/llm-observability/list-agent-observability-dataset-records/ + identifier: llm-observability-list-agent-observability-dataset-records parent: llm-observability generated: true params: @@ -14606,9 +14606,9 @@ menu: unstable: - v2 order: 7 - - name: Export an LLM Observability dataset - url: /api/latest/llm-observability/export-an-llm-observability-dataset/ - identifier: llm-observability-export-an-llm-observability-dataset + - name: Export an Agent Observability dataset + url: /api/latest/llm-observability/export-an-agent-observability-dataset/ + identifier: llm-observability-export-an-agent-observability-dataset parent: llm-observability generated: true params: @@ -14619,9 +14619,9 @@ menu: unstable: - v2 order: 44 - - name: Unlock LLM Observability dataset draft state - url: /api/latest/llm-observability/unlock-llm-observability-dataset-draft-state/ - identifier: llm-observability-unlock-llm-observability-dataset-draft-state + - name: Unlock Agent Observability dataset draft state + url: /api/latest/llm-observability/unlock-agent-observability-dataset-draft-state/ + identifier: llm-observability-unlock-agent-observability-dataset-draft-state parent: llm-observability generated: true params: @@ -14632,9 +14632,9 @@ menu: unstable: - v2 order: 42 - - name: Lock LLM Observability dataset draft state - url: /api/latest/llm-observability/lock-llm-observability-dataset-draft-state/ - identifier: llm-observability-lock-llm-observability-dataset-draft-state + - name: Lock Agent Observability dataset draft state + url: /api/latest/llm-observability/lock-agent-observability-dataset-draft-state/ + identifier: llm-observability-lock-agent-observability-dataset-draft-state parent: llm-observability generated: true params: @@ -14645,9 +14645,9 @@ menu: unstable: - v2 order: 41 - - name: Get LLM Observability dataset draft state - url: /api/latest/llm-observability/get-llm-observability-dataset-draft-state/ - identifier: llm-observability-get-llm-observability-dataset-draft-state + - name: Get Agent Observability dataset draft state + url: /api/latest/llm-observability/get-agent-observability-dataset-draft-state/ + identifier: llm-observability-get-agent-observability-dataset-draft-state parent: llm-observability generated: true params: @@ -14658,9 +14658,9 @@ menu: unstable: - v2 order: 40 - - name: Clone an LLM Observability dataset - url: /api/latest/llm-observability/clone-an-llm-observability-dataset/ - identifier: llm-observability-clone-an-llm-observability-dataset + - name: Clone an Agent Observability dataset + url: /api/latest/llm-observability/clone-an-agent-observability-dataset/ + identifier: llm-observability-clone-an-agent-observability-dataset parent: llm-observability generated: true params: @@ -14671,9 +14671,9 @@ menu: unstable: - v2 order: 46 - - name: Batch update LLM Observability dataset records - url: /api/latest/llm-observability/batch-update-llm-observability-dataset-records/ - identifier: llm-observability-batch-update-llm-observability-dataset-records + - name: Batch update Agent Observability dataset records + url: /api/latest/llm-observability/batch-update-agent-observability-dataset-records/ + identifier: llm-observability-batch-update-agent-observability-dataset-records parent: llm-observability generated: true params: @@ -14684,9 +14684,9 @@ menu: unstable: - v2 order: 45 - - name: Update an LLM Observability dataset - url: /api/latest/llm-observability/update-an-llm-observability-dataset/ - identifier: llm-observability-update-an-llm-observability-dataset + - name: Update an Agent Observability dataset + url: /api/latest/llm-observability/update-an-agent-observability-dataset/ + identifier: llm-observability-update-an-agent-observability-dataset parent: llm-observability generated: true params: @@ -14697,9 +14697,9 @@ menu: unstable: - v2 order: 9 - - name: Delete LLM Observability datasets - url: /api/latest/llm-observability/delete-llm-observability-datasets/ - identifier: llm-observability-delete-llm-observability-datasets + - name: Delete Agent Observability datasets + url: /api/latest/llm-observability/delete-agent-observability-datasets/ + identifier: llm-observability-delete-agent-observability-datasets parent: llm-observability generated: true params: @@ -14710,9 +14710,9 @@ menu: unstable: - v2 order: 11 - - name: Create an LLM Observability dataset - url: /api/latest/llm-observability/create-an-llm-observability-dataset/ - identifier: llm-observability-create-an-llm-observability-dataset + - name: Create an Agent Observability dataset + url: /api/latest/llm-observability/create-an-agent-observability-dataset/ + identifier: llm-observability-create-an-agent-observability-dataset parent: llm-observability generated: true params: @@ -14723,9 +14723,9 @@ menu: unstable: - v2 order: 6 - - name: List LLM Observability datasets - url: /api/latest/llm-observability/list-llm-observability-datasets/ - identifier: llm-observability-list-llm-observability-datasets + - name: List Agent Observability datasets + url: /api/latest/llm-observability/list-agent-observability-datasets/ + identifier: llm-observability-list-agent-observability-datasets parent: llm-observability generated: true params: @@ -14866,9 +14866,9 @@ menu: unstable: - v2 order: 59 - - name: Search LLM Observability spans - url: /api/latest/llm-observability/search-llm-observability-spans/ - identifier: llm-observability-search-llm-observability-spans + - name: Search Agent Observability spans + url: /api/latest/llm-observability/search-agent-observability-spans/ + identifier: llm-observability-search-agent-observability-spans parent: llm-observability generated: true params: @@ -14879,9 +14879,9 @@ menu: unstable: - v2 order: 35 - - name: List LLM Observability spans - url: /api/latest/llm-observability/list-llm-observability-spans/ - identifier: llm-observability-list-llm-observability-spans + - name: List Agent Observability spans + url: /api/latest/llm-observability/list-agent-observability-spans/ + identifier: llm-observability-list-agent-observability-spans parent: llm-observability generated: true params: @@ -14892,9 +14892,9 @@ menu: unstable: - v2 order: 34 - - name: Update a specific LLM Observability prompt version - url: /api/latest/llm-observability/update-a-specific-llm-observability-prompt-version/ - identifier: llm-observability-update-a-specific-llm-observability-prompt-version + - name: Update an Agent Observability prompt version + url: /api/latest/llm-observability/update-an-agent-observability-prompt-version/ + identifier: llm-observability-update-an-agent-observability-prompt-version parent: llm-observability generated: true params: @@ -14905,9 +14905,9 @@ menu: unstable: - v2 order: 71 - - name: Get a specific LLM Observability prompt version - url: /api/latest/llm-observability/get-a-specific-llm-observability-prompt-version/ - identifier: llm-observability-get-a-specific-llm-observability-prompt-version + - name: Get a specific Agent Observability prompt version + url: /api/latest/llm-observability/get-a-specific-agent-observability-prompt-version/ + identifier: llm-observability-get-a-specific-agent-observability-prompt-version parent: llm-observability generated: true params: @@ -14918,9 +14918,9 @@ menu: unstable: - v2 order: 70 - - name: Create a new LLM Observability prompt version - url: /api/latest/llm-observability/create-a-new-llm-observability-prompt-version/ - identifier: llm-observability-create-a-new-llm-observability-prompt-version + - name: Create a new Agent Observability prompt version + url: /api/latest/llm-observability/create-a-new-agent-observability-prompt-version/ + identifier: llm-observability-create-a-new-agent-observability-prompt-version parent: llm-observability generated: true params: @@ -14931,9 +14931,9 @@ menu: unstable: - v2 order: 69 - - name: List versions of an LLM Observability prompt - url: /api/latest/llm-observability/list-versions-of-an-llm-observability-prompt/ - identifier: llm-observability-list-versions-of-an-llm-observability-prompt + - name: List versions of an Agent Observability prompt + url: /api/latest/llm-observability/list-versions-of-an-agent-observability-prompt/ + identifier: llm-observability-list-versions-of-an-agent-observability-prompt parent: llm-observability generated: true params: @@ -14944,9 +14944,9 @@ menu: unstable: - v2 order: 68 - - name: Update an LLM Observability prompt - url: /api/latest/llm-observability/update-an-llm-observability-prompt/ - identifier: llm-observability-update-an-llm-observability-prompt + - name: Update an Agent Observability prompt + url: /api/latest/llm-observability/update-an-agent-observability-prompt/ + identifier: llm-observability-update-an-agent-observability-prompt parent: llm-observability generated: true params: @@ -14957,9 +14957,9 @@ menu: unstable: - v2 order: 66 - - name: Get an LLM Observability prompt - url: /api/latest/llm-observability/get-an-llm-observability-prompt/ - identifier: llm-observability-get-an-llm-observability-prompt + - name: Get an Agent Observability prompt + url: /api/latest/llm-observability/get-an-agent-observability-prompt/ + identifier: llm-observability-get-an-agent-observability-prompt parent: llm-observability generated: true params: @@ -14970,9 +14970,9 @@ menu: unstable: - v2 order: 65 - - name: Delete an LLM Observability prompt - url: /api/latest/llm-observability/delete-an-llm-observability-prompt/ - identifier: llm-observability-delete-an-llm-observability-prompt + - name: Delete an Agent Observability prompt + url: /api/latest/llm-observability/delete-an-agent-observability-prompt/ + identifier: llm-observability-delete-an-agent-observability-prompt parent: llm-observability generated: true params: @@ -14983,9 +14983,9 @@ menu: unstable: - v2 order: 67 - - name: Create an LLM Observability prompt - url: /api/latest/llm-observability/create-an-llm-observability-prompt/ - identifier: llm-observability-create-an-llm-observability-prompt + - name: Create an Agent Observability prompt + url: /api/latest/llm-observability/create-an-agent-observability-prompt/ + identifier: llm-observability-create-an-agent-observability-prompt parent: llm-observability generated: true params: @@ -14996,9 +14996,9 @@ menu: unstable: - v2 order: 64 - - name: List LLM Observability prompts - url: /api/latest/llm-observability/list-llm-observability-prompts/ - identifier: llm-observability-list-llm-observability-prompts + - name: List Agent Observability prompts + url: /api/latest/llm-observability/list-agent-observability-prompts/ + identifier: llm-observability-list-agent-observability-prompts parent: llm-observability generated: true params: @@ -15009,9 +15009,9 @@ menu: unstable: - v2 order: 63 - - name: Update an LLM Observability project - url: /api/latest/llm-observability/update-an-llm-observability-project/ - identifier: llm-observability-update-an-llm-observability-project + - name: Update an Agent Observability project + url: /api/latest/llm-observability/update-an-agent-observability-project/ + identifier: llm-observability-update-an-agent-observability-project parent: llm-observability generated: true params: @@ -15022,9 +15022,9 @@ menu: unstable: - v2 order: 3 - - name: Delete LLM Observability projects - url: /api/latest/llm-observability/delete-llm-observability-projects/ - identifier: llm-observability-delete-llm-observability-projects + - name: Delete Agent Observability projects + url: /api/latest/llm-observability/delete-agent-observability-projects/ + identifier: llm-observability-delete-agent-observability-projects parent: llm-observability generated: true params: @@ -15035,9 +15035,9 @@ menu: unstable: - v2 order: 4 - - name: Create an LLM Observability project - url: /api/latest/llm-observability/create-an-llm-observability-project/ - identifier: llm-observability-create-an-llm-observability-project + - name: Create an Agent Observability project + url: /api/latest/llm-observability/create-an-agent-observability-project/ + identifier: llm-observability-create-an-agent-observability-project parent: llm-observability generated: true params: @@ -15048,9 +15048,9 @@ menu: unstable: - v2 order: 2 - - name: List LLM Observability projects - url: /api/latest/llm-observability/list-llm-observability-projects/ - identifier: llm-observability-list-llm-observability-projects + - name: List Agent Observability projects + url: /api/latest/llm-observability/list-agent-observability-projects/ + identifier: llm-observability-list-agent-observability-projects parent: llm-observability generated: true params: @@ -15100,9 +15100,9 @@ menu: unstable: - v2 order: 36 - - name: Push events for an LLM Observability experiment - url: /api/latest/llm-observability/push-events-for-an-llm-observability-experiment/ - identifier: llm-observability-push-events-for-an-llm-observability-experiment + - name: Push events for an Agent Observability experiment + url: /api/latest/llm-observability/push-events-for-an-agent-observability-experiment/ + identifier: llm-observability-push-events-for-an-agent-observability-experiment parent: llm-observability generated: true params: @@ -15113,9 +15113,9 @@ menu: unstable: - v2 order: 17 - - name: List LLM Observability experiment spans (v1) - url: /api/latest/llm-observability/list-llm-observability-experiment-spans-v1/ - identifier: llm-observability-list-llm-observability-experiment-spans-v1 + - name: List Agent Observability experiment spans (v1) + url: /api/latest/llm-observability/list-agent-observability-experiment-spans-v1/ + identifier: llm-observability-list-agent-observability-experiment-spans-v1 parent: llm-observability generated: true params: @@ -15126,9 +15126,9 @@ menu: unstable: - v2 order: 49 - - name: Update an LLM Observability experiment - url: /api/latest/llm-observability/update-an-llm-observability-experiment/ - identifier: llm-observability-update-an-llm-observability-experiment + - name: Update an Agent Observability experiment + url: /api/latest/llm-observability/update-an-agent-observability-experiment/ + identifier: llm-observability-update-an-agent-observability-experiment parent: llm-observability generated: true params: @@ -15139,9 +15139,9 @@ menu: unstable: - v2 order: 15 - - name: Delete LLM Observability experiments - url: /api/latest/llm-observability/delete-llm-observability-experiments/ - identifier: llm-observability-delete-llm-observability-experiments + - name: Delete Agent Observability experiments + url: /api/latest/llm-observability/delete-agent-observability-experiments/ + identifier: llm-observability-delete-agent-observability-experiments parent: llm-observability generated: true params: @@ -15152,9 +15152,9 @@ menu: unstable: - v2 order: 16 - - name: Create an LLM Observability experiment - url: /api/latest/llm-observability/create-an-llm-observability-experiment/ - identifier: llm-observability-create-an-llm-observability-experiment + - name: Create an Agent Observability experiment + url: /api/latest/llm-observability/create-an-agent-observability-experiment/ + identifier: llm-observability-create-an-agent-observability-experiment parent: llm-observability generated: true params: @@ -15165,9 +15165,9 @@ menu: unstable: - v2 order: 14 - - name: List LLM Observability experiments - url: /api/latest/llm-observability/list-llm-observability-experiments/ - identifier: llm-observability-list-llm-observability-experiments + - name: List Agent Observability experiments + url: /api/latest/llm-observability/list-agent-observability-experiments/ + identifier: llm-observability-list-agent-observability-experiments parent: llm-observability generated: true params: @@ -15191,9 +15191,9 @@ menu: unstable: - v2 order: 32 - - name: Search LLM Observability experimentation entities - url: /api/latest/llm-observability/search-llm-observability-experimentation-entities/ - identifier: llm-observability-search-llm-observability-experimentation-entities + - name: Search Agent Observability experimentation + url: /api/latest/llm-observability/search-agent-observability-experimentation/ + identifier: llm-observability-search-agent-observability-experimentation parent: llm-observability generated: true params: @@ -15204,9 +15204,9 @@ menu: unstable: - v2 order: 31 - - name: Aggregate LLM Observability experimentation - url: /api/latest/llm-observability/aggregate-llm-observability-experimentation/ - identifier: llm-observability-aggregate-llm-observability-experimentation + - name: Aggregate Agent Observability experimentation + url: /api/latest/llm-observability/aggregate-agent-observability-experimentation/ + identifier: llm-observability-aggregate-agent-observability-experimentation parent: llm-observability generated: true params: @@ -15308,9 +15308,9 @@ menu: unstable: - v2 order: 23 - - name: Update an LLM Observability annotation queue - url: /api/latest/llm-observability/update-an-llm-observability-annotation-queue/ - identifier: llm-observability-update-an-llm-observability-annotation-queue + - name: Update an Agent Observability annotation queue + url: /api/latest/llm-observability/update-an-agent-observability-annotation-queue/ + identifier: llm-observability-update-an-agent-observability-annotation-queue parent: llm-observability generated: true params: @@ -15321,9 +15321,9 @@ menu: unstable: - v2 order: 20 - - name: Delete an LLM Observability annotation queue - url: /api/latest/llm-observability/delete-an-llm-observability-annotation-queue/ - identifier: llm-observability-delete-an-llm-observability-annotation-queue + - name: Delete an Agent Observability annotation queue + url: /api/latest/llm-observability/delete-an-agent-observability-annotation-queue/ + identifier: llm-observability-delete-an-agent-observability-annotation-queue parent: llm-observability generated: true params: @@ -15334,9 +15334,9 @@ menu: unstable: - v2 order: 21 - - name: Create an LLM Observability annotation queue - url: /api/latest/llm-observability/create-an-llm-observability-annotation-queue/ - identifier: llm-observability-create-an-llm-observability-annotation-queue + - name: Create an Agent Observability annotation queue + url: /api/latest/llm-observability/create-an-agent-observability-annotation-queue/ + identifier: llm-observability-create-an-agent-observability-annotation-queue parent: llm-observability generated: true params: @@ -15347,9 +15347,9 @@ menu: unstable: - v2 order: 19 - - name: List LLM Observability annotation queues - url: /api/latest/llm-observability/list-llm-observability-annotation-queues/ - identifier: llm-observability-list-llm-observability-annotation-queues + - name: List Agent Observability annotation queues + url: /api/latest/llm-observability/list-agent-observability-annotation-queues/ + identifier: llm-observability-list-agent-observability-annotation-queues parent: llm-observability generated: true params: diff --git a/hugo/content/en/api/latest/llm-observability/aggregate-agent-observability-experimentation/index.md b/hugo/content/en/api/latest/llm-observability/aggregate-agent-observability-experimentation/index.md new file mode 100644 index 00000000000..1540857c194 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/aggregate-agent-observability-experimentation/index.md @@ -0,0 +1,3 @@ +--- +title: Aggregate Agent Observability experimentation +--- diff --git a/hugo/content/en/api/latest/llm-observability/append-records-to-an-agent-observability-dataset/index.md b/hugo/content/en/api/latest/llm-observability/append-records-to-an-agent-observability-dataset/index.md new file mode 100644 index 00000000000..fac0bbded3b --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/append-records-to-an-agent-observability-dataset/index.md @@ -0,0 +1,3 @@ +--- +title: Append records to an Agent Observability dataset +--- diff --git a/hugo/content/en/api/latest/llm-observability/batch-update-agent-observability-dataset-records/index.md b/hugo/content/en/api/latest/llm-observability/batch-update-agent-observability-dataset-records/index.md new file mode 100644 index 00000000000..fd5c90f1c66 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/batch-update-agent-observability-dataset-records/index.md @@ -0,0 +1,3 @@ +--- +title: Batch update Agent Observability dataset records +--- diff --git a/hugo/content/en/api/latest/llm-observability/clone-an-agent-observability-dataset/index.md b/hugo/content/en/api/latest/llm-observability/clone-an-agent-observability-dataset/index.md new file mode 100644 index 00000000000..08ffebedf18 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/clone-an-agent-observability-dataset/index.md @@ -0,0 +1,3 @@ +--- +title: Clone an Agent Observability dataset +--- diff --git a/hugo/content/en/api/latest/llm-observability/create-a-new-agent-observability-prompt-version/index.md b/hugo/content/en/api/latest/llm-observability/create-a-new-agent-observability-prompt-version/index.md new file mode 100644 index 00000000000..dceac9b5cf4 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/create-a-new-agent-observability-prompt-version/index.md @@ -0,0 +1,3 @@ +--- +title: Create a new Agent Observability prompt version +--- diff --git a/hugo/content/en/api/latest/llm-observability/create-an-agent-observability-annotation-queue/index.md b/hugo/content/en/api/latest/llm-observability/create-an-agent-observability-annotation-queue/index.md new file mode 100644 index 00000000000..5f827c8dbc6 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/create-an-agent-observability-annotation-queue/index.md @@ -0,0 +1,3 @@ +--- +title: Create an Agent Observability annotation queue +--- diff --git a/hugo/content/en/api/latest/llm-observability/create-an-agent-observability-dataset/index.md b/hugo/content/en/api/latest/llm-observability/create-an-agent-observability-dataset/index.md new file mode 100644 index 00000000000..73426bc7a13 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/create-an-agent-observability-dataset/index.md @@ -0,0 +1,3 @@ +--- +title: Create an Agent Observability dataset +--- diff --git a/hugo/content/en/api/latest/llm-observability/create-an-agent-observability-experiment/index.md b/hugo/content/en/api/latest/llm-observability/create-an-agent-observability-experiment/index.md new file mode 100644 index 00000000000..e32a0807a0a --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/create-an-agent-observability-experiment/index.md @@ -0,0 +1,3 @@ +--- +title: Create an Agent Observability experiment +--- diff --git a/hugo/content/en/api/latest/llm-observability/create-an-agent-observability-project/index.md b/hugo/content/en/api/latest/llm-observability/create-an-agent-observability-project/index.md new file mode 100644 index 00000000000..50de71aaf67 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/create-an-agent-observability-project/index.md @@ -0,0 +1,3 @@ +--- +title: Create an Agent Observability project +--- diff --git a/hugo/content/en/api/latest/llm-observability/create-an-agent-observability-prompt/index.md b/hugo/content/en/api/latest/llm-observability/create-an-agent-observability-prompt/index.md new file mode 100644 index 00000000000..e88125f27a6 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/create-an-agent-observability-prompt/index.md @@ -0,0 +1,3 @@ +--- +title: Create an Agent Observability prompt +--- diff --git a/hugo/content/en/api/latest/llm-observability/delete-agent-observability-dataset-records/index.md b/hugo/content/en/api/latest/llm-observability/delete-agent-observability-dataset-records/index.md new file mode 100644 index 00000000000..7d048ee4c55 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/delete-agent-observability-dataset-records/index.md @@ -0,0 +1,3 @@ +--- +title: Delete Agent Observability dataset records +--- diff --git a/hugo/content/en/api/latest/llm-observability/delete-agent-observability-datasets/index.md b/hugo/content/en/api/latest/llm-observability/delete-agent-observability-datasets/index.md new file mode 100644 index 00000000000..b2c682d2a9b --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/delete-agent-observability-datasets/index.md @@ -0,0 +1,3 @@ +--- +title: Delete Agent Observability datasets +--- diff --git a/hugo/content/en/api/latest/llm-observability/delete-agent-observability-experiments/index.md b/hugo/content/en/api/latest/llm-observability/delete-agent-observability-experiments/index.md new file mode 100644 index 00000000000..8f8794c5c66 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/delete-agent-observability-experiments/index.md @@ -0,0 +1,3 @@ +--- +title: Delete Agent Observability experiments +--- diff --git a/hugo/content/en/api/latest/llm-observability/delete-agent-observability-projects/index.md b/hugo/content/en/api/latest/llm-observability/delete-agent-observability-projects/index.md new file mode 100644 index 00000000000..373b7c79ca2 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/delete-agent-observability-projects/index.md @@ -0,0 +1,3 @@ +--- +title: Delete Agent Observability projects +--- diff --git a/hugo/content/en/api/latest/llm-observability/delete-an-agent-observability-annotation-queue/index.md b/hugo/content/en/api/latest/llm-observability/delete-an-agent-observability-annotation-queue/index.md new file mode 100644 index 00000000000..9ff32caba19 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/delete-an-agent-observability-annotation-queue/index.md @@ -0,0 +1,3 @@ +--- +title: Delete an Agent Observability annotation queue +--- diff --git a/hugo/content/en/api/latest/llm-observability/delete-an-agent-observability-prompt/index.md b/hugo/content/en/api/latest/llm-observability/delete-an-agent-observability-prompt/index.md new file mode 100644 index 00000000000..a5bb89742f6 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/delete-an-agent-observability-prompt/index.md @@ -0,0 +1,3 @@ +--- +title: Delete an Agent Observability prompt +--- diff --git a/hugo/content/en/api/latest/llm-observability/export-an-agent-observability-dataset/index.md b/hugo/content/en/api/latest/llm-observability/export-an-agent-observability-dataset/index.md new file mode 100644 index 00000000000..7e92a36e8d4 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/export-an-agent-observability-dataset/index.md @@ -0,0 +1,3 @@ +--- +title: Export an Agent Observability dataset +--- diff --git a/hugo/content/en/api/latest/llm-observability/get-a-specific-agent-observability-prompt-version/index.md b/hugo/content/en/api/latest/llm-observability/get-a-specific-agent-observability-prompt-version/index.md new file mode 100644 index 00000000000..07eda36e8c0 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/get-a-specific-agent-observability-prompt-version/index.md @@ -0,0 +1,3 @@ +--- +title: Get a specific Agent Observability prompt version +--- diff --git a/hugo/content/en/api/latest/llm-observability/get-agent-observability-dataset-draft-state/index.md b/hugo/content/en/api/latest/llm-observability/get-agent-observability-dataset-draft-state/index.md new file mode 100644 index 00000000000..2e433aad035 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/get-agent-observability-dataset-draft-state/index.md @@ -0,0 +1,3 @@ +--- +title: Get Agent Observability dataset draft state +--- diff --git a/hugo/content/en/api/latest/llm-observability/get-an-agent-observability-prompt/index.md b/hugo/content/en/api/latest/llm-observability/get-an-agent-observability-prompt/index.md new file mode 100644 index 00000000000..223a219478c --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/get-an-agent-observability-prompt/index.md @@ -0,0 +1,3 @@ +--- +title: Get an Agent Observability prompt +--- diff --git a/hugo/content/en/api/latest/llm-observability/list-agent-observability-annotation-queues/index.md b/hugo/content/en/api/latest/llm-observability/list-agent-observability-annotation-queues/index.md new file mode 100644 index 00000000000..1c41b93f08d --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/list-agent-observability-annotation-queues/index.md @@ -0,0 +1,3 @@ +--- +title: List Agent Observability annotation queues +--- diff --git a/hugo/content/en/api/latest/llm-observability/list-agent-observability-dataset-records/index.md b/hugo/content/en/api/latest/llm-observability/list-agent-observability-dataset-records/index.md new file mode 100644 index 00000000000..0a855327bf3 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/list-agent-observability-dataset-records/index.md @@ -0,0 +1,3 @@ +--- +title: List Agent Observability dataset records +--- diff --git a/hugo/content/en/api/latest/llm-observability/list-agent-observability-dataset-versions/index.md b/hugo/content/en/api/latest/llm-observability/list-agent-observability-dataset-versions/index.md new file mode 100644 index 00000000000..0d07f5a3edd --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/list-agent-observability-dataset-versions/index.md @@ -0,0 +1,3 @@ +--- +title: List Agent Observability dataset versions +--- diff --git a/hugo/content/en/api/latest/llm-observability/list-agent-observability-datasets/index.md b/hugo/content/en/api/latest/llm-observability/list-agent-observability-datasets/index.md new file mode 100644 index 00000000000..df49041c428 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/list-agent-observability-datasets/index.md @@ -0,0 +1,3 @@ +--- +title: List Agent Observability datasets +--- diff --git a/hugo/content/en/api/latest/llm-observability/list-agent-observability-experiment-events-v2/index.md b/hugo/content/en/api/latest/llm-observability/list-agent-observability-experiment-events-v2/index.md new file mode 100644 index 00000000000..4a438f80edc --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/list-agent-observability-experiment-events-v2/index.md @@ -0,0 +1,3 @@ +--- +title: List Agent Observability experiment events (v2) +--- diff --git a/hugo/content/en/api/latest/llm-observability/list-agent-observability-experiment-spans-v1/index.md b/hugo/content/en/api/latest/llm-observability/list-agent-observability-experiment-spans-v1/index.md new file mode 100644 index 00000000000..a6da56cdb57 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/list-agent-observability-experiment-spans-v1/index.md @@ -0,0 +1,3 @@ +--- +title: List Agent Observability experiment spans (v1) +--- diff --git a/hugo/content/en/api/latest/llm-observability/list-agent-observability-experiments/index.md b/hugo/content/en/api/latest/llm-observability/list-agent-observability-experiments/index.md new file mode 100644 index 00000000000..8e910976228 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/list-agent-observability-experiments/index.md @@ -0,0 +1,3 @@ +--- +title: List Agent Observability experiments +--- diff --git a/hugo/content/en/api/latest/llm-observability/list-agent-observability-projects/index.md b/hugo/content/en/api/latest/llm-observability/list-agent-observability-projects/index.md new file mode 100644 index 00000000000..4b9d2cac3c6 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/list-agent-observability-projects/index.md @@ -0,0 +1,3 @@ +--- +title: List Agent Observability projects +--- diff --git a/hugo/content/en/api/latest/llm-observability/list-agent-observability-prompts/index.md b/hugo/content/en/api/latest/llm-observability/list-agent-observability-prompts/index.md new file mode 100644 index 00000000000..c084d5562ed --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/list-agent-observability-prompts/index.md @@ -0,0 +1,3 @@ +--- +title: List Agent Observability prompts +--- diff --git a/hugo/content/en/api/latest/llm-observability/list-agent-observability-spans/index.md b/hugo/content/en/api/latest/llm-observability/list-agent-observability-spans/index.md new file mode 100644 index 00000000000..d470e030692 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/list-agent-observability-spans/index.md @@ -0,0 +1,3 @@ +--- +title: List Agent Observability spans +--- diff --git a/hugo/content/en/api/latest/llm-observability/list-events-for-an-agent-observability-experiment/index.md b/hugo/content/en/api/latest/llm-observability/list-events-for-an-agent-observability-experiment/index.md new file mode 100644 index 00000000000..a645d8188e2 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/list-events-for-an-agent-observability-experiment/index.md @@ -0,0 +1,3 @@ +--- +title: List events for an Agent Observability experiment +--- diff --git a/hugo/content/en/api/latest/llm-observability/list-versions-of-an-agent-observability-prompt/index.md b/hugo/content/en/api/latest/llm-observability/list-versions-of-an-agent-observability-prompt/index.md new file mode 100644 index 00000000000..dc06470aa58 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/list-versions-of-an-agent-observability-prompt/index.md @@ -0,0 +1,3 @@ +--- +title: List versions of an Agent Observability prompt +--- diff --git a/hugo/content/en/api/latest/llm-observability/lock-agent-observability-dataset-draft-state/index.md b/hugo/content/en/api/latest/llm-observability/lock-agent-observability-dataset-draft-state/index.md new file mode 100644 index 00000000000..383de18cf5e --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/lock-agent-observability-dataset-draft-state/index.md @@ -0,0 +1,3 @@ +--- +title: Lock Agent Observability dataset draft state +--- diff --git a/hugo/content/en/api/latest/llm-observability/push-events-for-an-agent-observability-experiment/index.md b/hugo/content/en/api/latest/llm-observability/push-events-for-an-agent-observability-experiment/index.md new file mode 100644 index 00000000000..33ec3293eb3 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/push-events-for-an-agent-observability-experiment/index.md @@ -0,0 +1,3 @@ +--- +title: Push events for an Agent Observability experiment +--- diff --git a/hugo/content/en/api/latest/llm-observability/restore-an-agent-observability-dataset-version/index.md b/hugo/content/en/api/latest/llm-observability/restore-an-agent-observability-dataset-version/index.md new file mode 100644 index 00000000000..e3de0afbf86 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/restore-an-agent-observability-dataset-version/index.md @@ -0,0 +1,3 @@ +--- +title: Restore an Agent Observability dataset version +--- diff --git a/hugo/content/en/api/latest/llm-observability/search-agent-observability-experimentation/index.md b/hugo/content/en/api/latest/llm-observability/search-agent-observability-experimentation/index.md new file mode 100644 index 00000000000..5d36aeecfa5 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/search-agent-observability-experimentation/index.md @@ -0,0 +1,3 @@ +--- +title: Search Agent Observability experimentation +--- diff --git a/hugo/content/en/api/latest/llm-observability/search-agent-observability-spans/index.md b/hugo/content/en/api/latest/llm-observability/search-agent-observability-spans/index.md new file mode 100644 index 00000000000..a6868168921 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/search-agent-observability-spans/index.md @@ -0,0 +1,3 @@ +--- +title: Search Agent Observability spans +--- diff --git a/hugo/content/en/api/latest/llm-observability/unlock-agent-observability-dataset-draft-state/index.md b/hugo/content/en/api/latest/llm-observability/unlock-agent-observability-dataset-draft-state/index.md new file mode 100644 index 00000000000..5d5ce23b8a1 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/unlock-agent-observability-dataset-draft-state/index.md @@ -0,0 +1,3 @@ +--- +title: Unlock Agent Observability dataset draft state +--- diff --git a/hugo/content/en/api/latest/llm-observability/update-agent-observability-dataset-records/index.md b/hugo/content/en/api/latest/llm-observability/update-agent-observability-dataset-records/index.md new file mode 100644 index 00000000000..8df3f93f839 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/update-agent-observability-dataset-records/index.md @@ -0,0 +1,3 @@ +--- +title: Update Agent Observability dataset records +--- diff --git a/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-annotation-queue/index.md b/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-annotation-queue/index.md new file mode 100644 index 00000000000..020ddff67d9 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-annotation-queue/index.md @@ -0,0 +1,3 @@ +--- +title: Update an Agent Observability annotation queue +--- diff --git a/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-dataset/index.md b/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-dataset/index.md new file mode 100644 index 00000000000..d81f1564352 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-dataset/index.md @@ -0,0 +1,3 @@ +--- +title: Update an Agent Observability dataset +--- diff --git a/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-experiment/index.md b/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-experiment/index.md new file mode 100644 index 00000000000..7241ddd4a79 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-experiment/index.md @@ -0,0 +1,3 @@ +--- +title: Update an Agent Observability experiment +--- diff --git a/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-project/index.md b/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-project/index.md new file mode 100644 index 00000000000..b041c47cb0d --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-project/index.md @@ -0,0 +1,3 @@ +--- +title: Update an Agent Observability project +--- diff --git a/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-prompt-version/index.md b/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-prompt-version/index.md new file mode 100644 index 00000000000..0df33a6f7a0 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-prompt-version/index.md @@ -0,0 +1,3 @@ +--- +title: Update an Agent Observability prompt version +--- diff --git a/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-prompt/index.md b/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-prompt/index.md new file mode 100644 index 00000000000..1b862004455 --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/update-an-agent-observability-prompt/index.md @@ -0,0 +1,3 @@ +--- +title: Update an Agent Observability prompt +--- diff --git a/hugo/content/en/api/latest/llm-observability/upload-records-to-an-agent-observability-dataset/index.md b/hugo/content/en/api/latest/llm-observability/upload-records-to-an-agent-observability-dataset/index.md new file mode 100644 index 00000000000..6899cd8689a --- /dev/null +++ b/hugo/content/en/api/latest/llm-observability/upload-records-to-an-agent-observability-dataset/index.md @@ -0,0 +1,3 @@ +--- +title: Upload records to an Agent Observability dataset +--- diff --git a/hugo/content/en/api/v1/usage-metering/examples.json b/hugo/content/en/api/v1/usage-metering/examples.json index 1a46e4b1b82..6d962d51bc8 100644 --- a/hugo/content/en/api/v1/usage-metering/examples.json +++ b/hugo/content/en/api/v1/usage-metering/examples.json @@ -2286,7 +2286,7 @@ } ] }, - "html": "
\n
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metadata

\n
\n

object

\n

The object containing document metadata.

\n
\n
\n
\n
\n
\n

aggregates

\n
\n

[object]

\n

An array of available aggregates.

\n
\n
\n
\n
\n
\n

agg_type

\n
\n

string

\n

The aggregate type.

\n
\n \n
\n
\n
\n
\n
\n

field

\n
\n

string

\n

The field.

\n
\n \n
\n
\n
\n
\n
\n

value

\n
\n

double

\n

The value for a given field.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

pagination

\n
\n

object

\n

The metadata for the current pagination.

\n
\n
\n
\n
\n
\n

next_record_id

\n
\n

string

\n

The cursor to use to get the next results, if any. To make the next request, use the same parameters with the addition of the next_record_id.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
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usage

\n
\n

[object]

\n

Get usage summary by tag(s).

\n
\n
\n
\n
\n
\n

month

\n
\n

date-time

\n

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM].

\n
\n \n
\n
\n
\n
\n
\n

org_name

\n
\n

string

\n

The name of the organization.

\n
\n \n
\n
\n
\n
\n
\n

public_id

\n
\n

string

\n

The organization public ID.

\n
\n \n
\n
\n
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region

\n
\n

string

\n

The region of the Datadog instance that the organization belongs to.

\n
\n \n
\n
\n
\n
\n
\n

tag_config_source

\n
\n

string

\n

The source of the usage attribution tag configuration and the selected tags in the format <source_org_name>:::<selected tag 1>///<selected tag 2>///<selected tag 3>.

\n
\n \n
\n
\n
\n
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tags

\n
\n

object

\n

Tag keys and values.

A null value here means that the requested tag breakdown cannot be applied because it does not match the tags\nconfigured for usage attribution.\nIn this scenario the API returns the total usage, not broken down by tags.

\n
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<any-key>

\n
\n

[string]

\n

A list of values that are associated with each tag key.

\n
    \n
  • An empty list means the resource use wasn't tagged with the respective tag.
    • \n
  • Multiple values means the respective tag was applied multiple times on the resource.
    • \n
  • An <empty> value means the resource was tagged with the respective tag but did not have a value.
    • \n
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\n \n
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updated_at

\n
\n

date-time

\n

Datetime of the most recent update to the usage values.

\n
\n \n
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values

\n
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object

\n

Fields in Usage Summary by tag(s).

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api_percentage

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\n

double

\n

The percentage of synthetic API test usage by tag(s).

\n
\n \n
\n
\n
\n
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api_usage

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double

\n

The synthetic API test usage by tag(s).

\n
\n \n
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\n
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apm_fargate_percentage

\n
\n

double

\n

The percentage of APM ECS Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

apm_fargate_usage

\n
\n

double

\n

The APM ECS Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

apm_host_percentage

\n
\n

double

\n

The percentage of APM host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

apm_host_usage

\n
\n

double

\n

The APM host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

apm_usm_percentage

\n
\n

double

\n

The percentage of APM and Universal Service Monitoring host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

apm_usm_usage

\n
\n

double

\n

The APM and Universal Service Monitoring host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

appsec_fargate_percentage

\n
\n

double

\n

The percentage of Application Security Monitoring ECS Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

appsec_fargate_usage

\n
\n

double

\n

The Application Security Monitoring ECS Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

appsec_percentage

\n
\n

double

\n

The percentage of Application Security Monitoring host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

appsec_usage

\n
\n

double

\n

The Application Security Monitoring host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

asm_serverless_traced_invocations_percentage

\n
\n

double

\n

The percentage of Application Security Monitoring Serverless traced invocations usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

asm_serverless_traced_invocations_usage

\n
\n

double

\n

The Application Security Monitoring Serverless traced invocations usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

bits_ai_investigations_percentage

\n
\n

double

\n

The percentage of Bits AI SRE investigation usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

bits_ai_investigations_usage

\n
\n

double

\n

The Bits AI SRE investigation usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

browser_percentage

\n
\n

double

\n

The percentage of synthetic browser test usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

browser_usage

\n
\n

double

\n

The synthetic browser test usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ci_code_coverage_committers_percentage

\n
\n

double

\n

The percentage of Code Coverage committers usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ci_code_coverage_committers_usage

\n
\n

double

\n

The total Code Coverage committers usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ci_pipeline_indexed_spans_percentage

\n
\n

double

\n

The percentage of CI Pipeline Indexed Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ci_pipeline_indexed_spans_usage

\n
\n

double

\n

The total CI Pipeline Indexed Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ci_test_indexed_spans_percentage

\n
\n

double

\n

The percentage of CI Test Indexed Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ci_test_indexed_spans_usage

\n
\n

double

\n

The total CI Test Indexed Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_itr_percentage

\n
\n

double

\n

The percentage of Git committers for Intelligent Test Runner usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_itr_usage

\n
\n

double

\n

The Git committers for Intelligent Test Runner usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cloud_siem_percentage

\n
\n

double

\n

The percentage of Cloud Security Information and Event Management usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cloud_siem_usage

\n
\n

double

\n

The Cloud Security Information and Event Management usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

code_security_host_percentage

\n
\n

double

\n

The percentage of Code Security host usage by tags.

\n
\n \n
\n
\n
\n
\n
\n

code_security_host_usage

\n
\n

double

\n

The Code Security host usage by tags.

\n
\n \n
\n
\n
\n
\n
\n

container_excl_agent_percentage

\n
\n

double

\n

The percentage of container usage without the Datadog Agent by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

container_excl_agent_usage

\n
\n

double

\n

The container usage without the Datadog Agent by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

container_percentage

\n
\n

double

\n

The percentage of container usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

container_usage

\n
\n

double

\n

The container usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cspm_containers_percentage

\n
\n

double

\n

The percentage of Cloud Security Management Pro container usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cspm_containers_usage

\n
\n

double

\n

The Cloud Security Management Pro container usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cspm_hosts_percentage

\n
\n

double

\n

The percentage of Cloud Security Management Pro host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cspm_hosts_usage

\n
\n

double

\n

The Cloud Security Management Pro host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

custom_event_percentage

\n
\n

double

\n

The percentage of Custom Events usage by tag(s).

\n
\n \n
\n
\n
\n
\n
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custom_event_usage

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\n

double

\n

The total Custom Events usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

custom_ingested_timeseries_percentage

\n
\n

double

\n

The percentage of ingested custom metrics usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

custom_ingested_timeseries_usage

\n
\n

double

\n

The ingested custom metrics usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

custom_timeseries_percentage

\n
\n

double

\n

The percentage of indexed custom metrics usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

custom_timeseries_usage

\n
\n

double

\n

The indexed custom metrics usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cws_containers_percentage

\n
\n

double

\n

The percentage of Cloud Workload Security container usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cws_containers_usage

\n
\n

double

\n

The Cloud Workload Security container usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cws_fargate_task_percentage

\n
\n

double

\n

The percentage of Cloud Workload Security Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cws_fargate_task_usage

\n
\n

double

\n

The Cloud Workload Security Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cws_hosts_percentage

\n
\n

double

\n

The percentage of Cloud Workload Security host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cws_hosts_usage

\n
\n

double

\n

The Cloud Workload Security host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

data_jobs_monitoring_usage

\n
\n

double

\n

The Data Jobs Monitoring usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

data_stream_monitoring_usage

\n
\n

double

\n

The Data Stream Monitoring usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

dbm_hosts_percentage

\n
\n

double

\n

The percentage of Database Monitoring host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

dbm_hosts_usage

\n
\n

double

\n

The Database Monitoring host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

dbm_queries_percentage

\n
\n

double

\n

The percentage of Database Monitoring queries usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

dbm_queries_usage

\n
\n

double

\n

The Database Monitoring queries usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_percentage

\n
\n

double

\n

The percentage of error tracking events usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_usage

\n
\n

double

\n

The error tracking events usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

estimated_indexed_spans_percentage

\n
\n

double

\n

The percentage of estimated indexed spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

estimated_indexed_spans_usage

\n
\n

double

\n

The estimated indexed spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

estimated_ingested_spans_percentage

\n
\n

double

\n

The percentage of estimated ingested spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

estimated_ingested_spans_usage

\n
\n

double

\n

The estimated ingested spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

fargate_percentage

\n
\n

double

\n

The percentage of Fargate usage by tags.

\n
\n \n
\n
\n
\n
\n
\n

fargate_usage

\n
\n

double

\n

The Fargate usage by tags.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_percentage

\n
\n

double

\n

The percentage of Flex Logs Starter usage by tags.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_usage

\n
\n

double

\n

The Flex Logs Starter usage by tags.

\n
\n \n
\n
\n
\n
\n
\n

flex_stored_logs_percentage

\n
\n

double

\n

The percentage of Flex Stored Logs usage by tags.

\n
\n \n
\n
\n
\n
\n
\n

flex_stored_logs_usage

\n
\n

double

\n

The Flex Stored Logs usage by tags.

\n
\n \n
\n
\n
\n
\n
\n

functions_percentage

\n
\n

double

\n

The percentage of Lambda function usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

functions_usage

\n
\n

double

\n

The Lambda function usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

incident_management_monthly_active_users_percentage

\n
\n

double

\n

The percentage of Incident Management monthly active users usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

incident_management_monthly_active_users_usage

\n
\n

double

\n

The Incident Management monthly active users usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

indexed_spans_percentage

\n
\n

double

\n

The percentage of APM Indexed Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

indexed_spans_usage

\n
\n

double

\n

The total APM Indexed Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_percentage

\n
\n

double

\n

The percentage of infrastructure host Basic tier usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_usage

\n
\n

double

\n

The infrastructure host Basic tier usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

infra_host_percentage

\n
\n

double

\n

The percentage of infrastructure host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

infra_host_usage

\n
\n

double

\n

The infrastructure host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ingested_logs_bytes_percentage

\n
\n

double

\n

The percentage of Ingested Logs usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ingested_logs_bytes_usage

\n
\n

double

\n

The total Ingested Logs usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ingested_spans_bytes_percentage

\n
\n

double

\n

The percentage of APM Ingested Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ingested_spans_bytes_usage

\n
\n

double

\n

The total APM Ingested Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

invocations_percentage

\n
\n

double

\n

The percentage of Lambda invocation usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

invocations_usage

\n
\n

double

\n

The Lambda invocation usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

lambda_traced_invocations_percentage

\n
\n

double

\n

The percentage of Serverless APM usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

lambda_traced_invocations_usage

\n
\n

double

\n

The Serverless APM usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_percentage

\n
\n

double

\n

The percentage of LLM Observability usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_usage

\n
\n

double

\n

The LLM Observability usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

llm_spans_percentage

\n
\n

double

\n

The percentage of LLM Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

llm_spans_usage

\n
\n

double

\n

The LLM Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_15day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (15-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_15day_usage

\n
\n

double

\n

The total Indexed Logs (15-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_180day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (180-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_180day_usage

\n
\n

double

\n

The total Indexed Logs (180-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_1day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (1-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_1day_usage

\n
\n

double

\n

The total Indexed Logs (1-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_30day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (30-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_30day_usage

\n
\n

double

\n

The total Indexed Logs (30-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_360day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (360-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_360day_usage

\n
\n

double

\n

The total Indexed Logs (360-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_3day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (3-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_3day_usage

\n
\n

double

\n

The total Indexed Logs (3-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_45day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (45-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_45day_usage

\n
\n

double

\n

The total Indexed Logs (45-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_60day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (60-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_60day_usage

\n
\n

double

\n

The total Indexed Logs (60-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_7day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (7-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_7day_usage

\n
\n

double

\n

The total Indexed Logs (7-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_90day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (90-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_90day_usage

\n
\n

double

\n

The total Indexed Logs (90-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_custom_retention_percentage

\n
\n

double

\n

The percentage of Indexed Logs (Custom Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_custom_retention_usage

\n
\n

double

\n

The total Indexed Logs (Custom Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

mobile_app_testing_percentage

\n
\n

double

\n

The percentage of Synthetic mobile application test usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

mobile_app_testing_usage

\n
\n

double

\n

The Synthetic mobile application test usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ndm_netflow_percentage

\n
\n

double

\n

The percentage of Network Device Monitoring NetFlow usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ndm_netflow_usage

\n
\n

double

\n

The Network Device Monitoring NetFlow usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

network_device_wireless_percentage

\n
\n

double

\n

The percentage of network device wireless usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

network_device_wireless_usage

\n
\n

double

\n

The network device wireless usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

npm_host_percentage

\n
\n

double

\n

The percentage of network host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

npm_host_usage

\n
\n

double

\n

The network host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

obs_pipeline_bytes_percentage

\n
\n

double

\n

The percentage of observability pipeline bytes usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

obs_pipeline_bytes_usage

\n
\n

double

\n

The observability pipeline bytes usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

obs_pipelines_vcpu_percentage

\n
\n

double

\n

The percentage of observability pipeline per core usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

obs_pipelines_vcpu_usage

\n
\n

double

\n

The observability pipeline per core usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

online_archive_percentage

\n
\n

double

\n

The percentage of online archive usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

online_archive_usage

\n
\n

double

\n

The online archive usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

product_analytics_session_percentage

\n
\n

double

\n

The percentage of Product Analytics session usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

product_analytics_session_usage

\n
\n

double

\n

The Product Analytics session usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

profiled_container_percentage

\n
\n

double

\n

The percentage of profiled container usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

profiled_container_usage

\n
\n

double

\n

The profiled container usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

profiled_fargate_percentage

\n
\n

double

\n

The percentage of profiled Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

profiled_fargate_usage

\n
\n

double

\n

The profiled Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

profiled_host_percentage

\n
\n

double

\n

The percentage of profiled hosts usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

profiled_host_usage

\n
\n

double

\n

The profiled hosts usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

published_app_percentage

\n
\n

double

\n

The percentage of published application usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

published_app_usage

\n
\n

double

\n

The published application usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_mobile_sessions_percentage

\n
\n

double

\n

The percentage of RUM Browser and Mobile usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_mobile_sessions_usage

\n
\n

double

\n

The total RUM Browser and Mobile usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_ingested_percentage

\n
\n

double

\n

The percentage of RUM Ingested usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_ingested_usage

\n
\n

double

\n

The total RUM Ingested usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_investigate_percentage

\n
\n

double

\n

The percentage of RUM Investigate usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_investigate_usage

\n
\n

double

\n

The total RUM Investigate usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_replay_sessions_percentage

\n
\n

double

\n

The percentage of RUM Session Replay usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_replay_sessions_usage

\n
\n

double

\n

The total RUM Session Replay usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_session_replay_add_on_percentage

\n
\n

double

\n

The percentage of RUM Session Replay Add-On usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_session_replay_add_on_usage

\n
\n

double

\n

The total RUM Session Replay Add-On usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

sca_fargate_percentage

\n
\n

double

\n

The percentage of Software Composition Analysis Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

sca_fargate_usage

\n
\n

double

\n

The total Software Composition Analysis Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

sds_scanned_bytes_percentage

\n
\n

double

\n

The percentage of Sensitive Data Scanner usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

sds_scanned_bytes_usage

\n
\n

double

\n

The total Sensitive Data Scanner usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_percentage

\n
\n

double

\n

The percentage of Serverless Apps APM usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_usage

\n
\n

double

\n

The total Serverless Apps APM usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_percentage

\n
\n

double

\n

The percentage of Serverless Apps usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_usage

\n
\n

double

\n

The total Serverless Apps usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

siem_12mo_retention_percentage

\n
\n

double

\n

The percentage of Cloud SIEM Indexed Logs (12-month retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

siem_12mo_retention_usage

\n
\n

double

\n

The Cloud SIEM Indexed Logs (12-month retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

siem_6mo_retention_percentage

\n
\n

double

\n

The percentage of Cloud SIEM Indexed Logs (6-month retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

siem_6mo_retention_usage

\n
\n

double

\n

The Cloud SIEM Indexed Logs (6-month retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

siem_analyzed_logs_add_on_percentage

\n
\n

double

\n

The percentage of log events analyzed by Cloud SIEM usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

siem_analyzed_logs_add_on_usage

\n
\n

double

\n

The log events analyzed by Cloud SIEM usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

siem_ingested_bytes_percentage

\n
\n

double

\n

The percentage of SIEM usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

siem_ingested_bytes_usage

\n
\n

double

\n

The total SIEM usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

snmp_percentage

\n
\n

double

\n

The percentage of network device usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

snmp_usage

\n
\n

double

\n

The network device usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

universal_service_monitoring_percentage

\n
\n

double

\n

The percentage of universal service monitoring usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

universal_service_monitoring_usage

\n
\n

double

\n

The universal service monitoring usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

vuln_management_hosts_percentage

\n
\n

double

\n

The percentage of Application Vulnerability Management usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

vuln_management_hosts_usage

\n
\n

double

\n

The Application Vulnerability Management usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

workflow_executions_percentage

\n
\n

double

\n

The percentage of workflow executions usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

workflow_executions_usage

\n
\n

double

\n

The total workflow executions usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

metadata

\n
\n

object

\n

The object containing document metadata.

\n
\n
\n
\n
\n
\n

aggregates

\n
\n

[object]

\n

An array of available aggregates.

\n
\n
\n
\n
\n
\n

agg_type

\n
\n

string

\n

The aggregate type.

\n
\n \n
\n
\n
\n
\n
\n

field

\n
\n

string

\n

The field.

\n
\n \n
\n
\n
\n
\n
\n

value

\n
\n

double

\n

The value for a given field.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

pagination

\n
\n

object

\n

The metadata for the current pagination.

\n
\n
\n
\n
\n
\n

next_record_id

\n
\n

string

\n

The cursor to use to get the next results, if any. To make the next request, use the same parameters with the addition of the next_record_id.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

usage

\n
\n

[object]

\n

Get usage summary by tag(s).

\n
\n
\n
\n
\n
\n

month

\n
\n

date-time

\n

Datetime in ISO-8601 format, UTC, precise to month: [YYYY-MM].

\n
\n \n
\n
\n
\n
\n
\n

org_name

\n
\n

string

\n

The name of the organization.

\n
\n \n
\n
\n
\n
\n
\n

public_id

\n
\n

string

\n

The organization public ID.

\n
\n \n
\n
\n
\n
\n
\n

region

\n
\n

string

\n

The region of the Datadog instance that the organization belongs to.

\n
\n \n
\n
\n
\n
\n
\n

tag_config_source

\n
\n

string

\n

The source of the usage attribution tag configuration and the selected tags in the format <source_org_name>:::<selected tag 1>///<selected tag 2>///<selected tag 3>.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

object

\n

Tag keys and values.

A null value here means that the requested tag breakdown cannot be applied because it does not match the tags\nconfigured for usage attribution.\nIn this scenario the API returns the total usage, not broken down by tags.

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

[string]

\n

A list of values that are associated with each tag key.

\n
    \n
  • An empty list means the resource use wasn't tagged with the respective tag.
    • \n
  • Multiple values means the respective tag was applied multiple times on the resource.
    • \n
  • An <empty> value means the resource was tagged with the respective tag but did not have a value.
    • \n
\n
\n \n
\n
\n
\n
\n
\n
\n
\n

updated_at

\n
\n

date-time

\n

Datetime of the most recent update to the usage values.

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

object

\n

Fields in Usage Summary by tag(s).

\n
\n
\n
\n
\n
\n

api_percentage

\n
\n

double

\n

The percentage of synthetic API test usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

api_usage

\n
\n

double

\n

The synthetic API test usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

apm_fargate_percentage

\n
\n

double

\n

The percentage of APM ECS Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

apm_fargate_usage

\n
\n

double

\n

The APM ECS Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

apm_host_percentage

\n
\n

double

\n

The percentage of APM host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

apm_host_usage

\n
\n

double

\n

The APM host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

apm_usm_percentage

\n
\n

double

\n

The percentage of APM and Universal Service Monitoring host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

apm_usm_usage

\n
\n

double

\n

The APM and Universal Service Monitoring host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

appsec_fargate_percentage

\n
\n

double

\n

The percentage of Application Security Monitoring ECS Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

appsec_fargate_usage

\n
\n

double

\n

The Application Security Monitoring ECS Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

appsec_percentage

\n
\n

double

\n

The percentage of Application Security Monitoring host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

appsec_usage

\n
\n

double

\n

The Application Security Monitoring host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

asm_serverless_traced_invocations_percentage

\n
\n

double

\n

The percentage of Application Security Monitoring Serverless traced invocations usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

asm_serverless_traced_invocations_usage

\n
\n

double

\n

The Application Security Monitoring Serverless traced invocations usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

bits_ai_investigations_percentage

\n
\n

double

\n

The percentage of Bits AI SRE investigation usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

bits_ai_investigations_usage

\n
\n

double

\n

The Bits AI SRE investigation usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

browser_percentage

\n
\n

double

\n

The percentage of synthetic browser test usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

browser_usage

\n
\n

double

\n

The synthetic browser test usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ci_code_coverage_committers_percentage

\n
\n

double

\n

The percentage of Code Coverage committers usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ci_code_coverage_committers_usage

\n
\n

double

\n

The total Code Coverage committers usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ci_pipeline_indexed_spans_percentage

\n
\n

double

\n

The percentage of CI Pipeline Indexed Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ci_pipeline_indexed_spans_usage

\n
\n

double

\n

The total CI Pipeline Indexed Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ci_test_indexed_spans_percentage

\n
\n

double

\n

The percentage of CI Test Indexed Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ci_test_indexed_spans_usage

\n
\n

double

\n

The total CI Test Indexed Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_itr_percentage

\n
\n

double

\n

The percentage of Git committers for Intelligent Test Runner usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_itr_usage

\n
\n

double

\n

The Git committers for Intelligent Test Runner usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cloud_siem_percentage

\n
\n

double

\n

The percentage of Cloud Security Information and Event Management usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cloud_siem_usage

\n
\n

double

\n

The Cloud Security Information and Event Management usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

code_security_host_percentage

\n
\n

double

\n

The percentage of Code Security host usage by tags.

\n
\n \n
\n
\n
\n
\n
\n

code_security_host_usage

\n
\n

double

\n

The Code Security host usage by tags.

\n
\n \n
\n
\n
\n
\n
\n

container_excl_agent_percentage

\n
\n

double

\n

The percentage of container usage without the Datadog Agent by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

container_excl_agent_usage

\n
\n

double

\n

The container usage without the Datadog Agent by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

container_percentage

\n
\n

double

\n

The percentage of container usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

container_usage

\n
\n

double

\n

The container usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cspm_containers_percentage

\n
\n

double

\n

The percentage of Cloud Security Management Pro container usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cspm_containers_usage

\n
\n

double

\n

The Cloud Security Management Pro container usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cspm_hosts_percentage

\n
\n

double

\n

The percentage of Cloud Security Management Pro host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cspm_hosts_usage

\n
\n

double

\n

The Cloud Security Management Pro host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

custom_event_percentage

\n
\n

double

\n

The percentage of Custom Events usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

custom_event_usage

\n
\n

double

\n

The total Custom Events usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

custom_ingested_timeseries_percentage

\n
\n

double

\n

The percentage of ingested custom metrics usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

custom_ingested_timeseries_usage

\n
\n

double

\n

The ingested custom metrics usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

custom_timeseries_percentage

\n
\n

double

\n

The percentage of indexed custom metrics usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

custom_timeseries_usage

\n
\n

double

\n

The indexed custom metrics usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cws_containers_percentage

\n
\n

double

\n

The percentage of Cloud Workload Security container usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cws_containers_usage

\n
\n

double

\n

The Cloud Workload Security container usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cws_fargate_task_percentage

\n
\n

double

\n

The percentage of Cloud Workload Security Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cws_fargate_task_usage

\n
\n

double

\n

The Cloud Workload Security Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cws_hosts_percentage

\n
\n

double

\n

The percentage of Cloud Workload Security host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

cws_hosts_usage

\n
\n

double

\n

The Cloud Workload Security host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

data_jobs_monitoring_usage

\n
\n

double

\n

The Data Jobs Monitoring usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

data_stream_monitoring_usage

\n
\n

double

\n

The Data Stream Monitoring usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

dbm_hosts_percentage

\n
\n

double

\n

The percentage of Database Monitoring host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

dbm_hosts_usage

\n
\n

double

\n

The Database Monitoring host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

dbm_queries_percentage

\n
\n

double

\n

The percentage of Database Monitoring queries usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

dbm_queries_usage

\n
\n

double

\n

The Database Monitoring queries usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_percentage

\n
\n

double

\n

The percentage of error tracking events usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_usage

\n
\n

double

\n

The error tracking events usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

estimated_indexed_spans_percentage

\n
\n

double

\n

The percentage of estimated indexed spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

estimated_indexed_spans_usage

\n
\n

double

\n

The estimated indexed spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

estimated_ingested_spans_percentage

\n
\n

double

\n

The percentage of estimated ingested spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

estimated_ingested_spans_usage

\n
\n

double

\n

The estimated ingested spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

fargate_percentage

\n
\n

double

\n

The percentage of Fargate usage by tags.

\n
\n \n
\n
\n
\n
\n
\n

fargate_usage

\n
\n

double

\n

The Fargate usage by tags.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_percentage

\n
\n

double

\n

The percentage of Flex Logs Starter usage by tags.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_usage

\n
\n

double

\n

The Flex Logs Starter usage by tags.

\n
\n \n
\n
\n
\n
\n
\n

flex_stored_logs_percentage

\n
\n

double

\n

The percentage of Flex Stored Logs usage by tags.

\n
\n \n
\n
\n
\n
\n
\n

flex_stored_logs_usage

\n
\n

double

\n

The Flex Stored Logs usage by tags.

\n
\n \n
\n
\n
\n
\n
\n

functions_percentage

\n
\n

double

\n

The percentage of Lambda function usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

functions_usage

\n
\n

double

\n

The Lambda function usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

incident_management_monthly_active_users_percentage

\n
\n

double

\n

The percentage of Incident Management monthly active users usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

incident_management_monthly_active_users_usage

\n
\n

double

\n

The Incident Management monthly active users usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

indexed_spans_percentage

\n
\n

double

\n

The percentage of APM Indexed Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

indexed_spans_usage

\n
\n

double

\n

The total APM Indexed Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_percentage

\n
\n

double

\n

The percentage of infrastructure host Basic tier usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_usage

\n
\n

double

\n

The infrastructure host Basic tier usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

infra_host_percentage

\n
\n

double

\n

The percentage of infrastructure host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

infra_host_usage

\n
\n

double

\n

The infrastructure host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ingested_logs_bytes_percentage

\n
\n

double

\n

The percentage of Ingested Logs usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ingested_logs_bytes_usage

\n
\n

double

\n

The total Ingested Logs usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ingested_spans_bytes_percentage

\n
\n

double

\n

The percentage of APM Ingested Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ingested_spans_bytes_usage

\n
\n

double

\n

The total APM Ingested Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

invocations_percentage

\n
\n

double

\n

The percentage of Lambda invocation usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

invocations_usage

\n
\n

double

\n

The Lambda invocation usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

lambda_traced_invocations_percentage

\n
\n

double

\n

The percentage of Serverless APM usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

lambda_traced_invocations_usage

\n
\n

double

\n

The Serverless APM usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_percentage

\n
\n

double

\n

The percentage of Agent Observability usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_usage

\n
\n

double

\n

The Agent Observability usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

llm_spans_percentage

\n
\n

double

\n

The percentage of LLM Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

llm_spans_usage

\n
\n

double

\n

The LLM Spans usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_15day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (15-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_15day_usage

\n
\n

double

\n

The total Indexed Logs (15-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_180day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (180-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_180day_usage

\n
\n

double

\n

The total Indexed Logs (180-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_1day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (1-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_1day_usage

\n
\n

double

\n

The total Indexed Logs (1-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_30day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (30-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_30day_usage

\n
\n

double

\n

The total Indexed Logs (30-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_360day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (360-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_360day_usage

\n
\n

double

\n

The total Indexed Logs (360-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_3day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (3-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_3day_usage

\n
\n

double

\n

The total Indexed Logs (3-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_45day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (45-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_45day_usage

\n
\n

double

\n

The total Indexed Logs (45-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_60day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (60-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_60day_usage

\n
\n

double

\n

The total Indexed Logs (60-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_7day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (7-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_7day_usage

\n
\n

double

\n

The total Indexed Logs (7-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_90day_percentage

\n
\n

double

\n

The percentage of Indexed Logs (90-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_90day_usage

\n
\n

double

\n

The total Indexed Logs (90-day Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_custom_retention_percentage

\n
\n

double

\n

The percentage of Indexed Logs (Custom Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

logs_indexed_custom_retention_usage

\n
\n

double

\n

The total Indexed Logs (Custom Retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

mobile_app_testing_percentage

\n
\n

double

\n

The percentage of Synthetic mobile application test usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

mobile_app_testing_usage

\n
\n

double

\n

The Synthetic mobile application test usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ndm_netflow_percentage

\n
\n

double

\n

The percentage of Network Device Monitoring NetFlow usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

ndm_netflow_usage

\n
\n

double

\n

The Network Device Monitoring NetFlow usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

network_device_wireless_percentage

\n
\n

double

\n

The percentage of network device wireless usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

network_device_wireless_usage

\n
\n

double

\n

The network device wireless usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

npm_host_percentage

\n
\n

double

\n

The percentage of network host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

npm_host_usage

\n
\n

double

\n

The network host usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

obs_pipeline_bytes_percentage

\n
\n

double

\n

The percentage of observability pipeline bytes usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

obs_pipeline_bytes_usage

\n
\n

double

\n

The observability pipeline bytes usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

obs_pipelines_vcpu_percentage

\n
\n

double

\n

The percentage of observability pipeline per core usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

obs_pipelines_vcpu_usage

\n
\n

double

\n

The observability pipeline per core usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

online_archive_percentage

\n
\n

double

\n

The percentage of online archive usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

online_archive_usage

\n
\n

double

\n

The online archive usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

product_analytics_session_percentage

\n
\n

double

\n

The percentage of Product Analytics session usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

product_analytics_session_usage

\n
\n

double

\n

The Product Analytics session usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

profiled_container_percentage

\n
\n

double

\n

The percentage of profiled container usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

profiled_container_usage

\n
\n

double

\n

The profiled container usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

profiled_fargate_percentage

\n
\n

double

\n

The percentage of profiled Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

profiled_fargate_usage

\n
\n

double

\n

The profiled Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

profiled_host_percentage

\n
\n

double

\n

The percentage of profiled hosts usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

profiled_host_usage

\n
\n

double

\n

The profiled hosts usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

published_app_percentage

\n
\n

double

\n

The percentage of published application usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

published_app_usage

\n
\n

double

\n

The published application usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_mobile_sessions_percentage

\n
\n

double

\n

The percentage of RUM Browser and Mobile usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_mobile_sessions_usage

\n
\n

double

\n

The total RUM Browser and Mobile usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_ingested_percentage

\n
\n

double

\n

The percentage of RUM Ingested usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_ingested_usage

\n
\n

double

\n

The total RUM Ingested usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_investigate_percentage

\n
\n

double

\n

The percentage of RUM Investigate usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_investigate_usage

\n
\n

double

\n

The total RUM Investigate usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_replay_sessions_percentage

\n
\n

double

\n

The percentage of RUM Session Replay usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_replay_sessions_usage

\n
\n

double

\n

The total RUM Session Replay usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_session_replay_add_on_percentage

\n
\n

double

\n

The percentage of RUM Session Replay Add-On usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

rum_session_replay_add_on_usage

\n
\n

double

\n

The total RUM Session Replay Add-On usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

sca_fargate_percentage

\n
\n

double

\n

The percentage of Software Composition Analysis Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

sca_fargate_usage

\n
\n

double

\n

The total Software Composition Analysis Fargate task usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

sds_scanned_bytes_percentage

\n
\n

double

\n

The percentage of Sensitive Data Scanner usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

sds_scanned_bytes_usage

\n
\n

double

\n

The total Sensitive Data Scanner usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_percentage

\n
\n

double

\n

The percentage of Serverless Apps APM usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_usage

\n
\n

double

\n

The total Serverless Apps APM usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_percentage

\n
\n

double

\n

The percentage of Serverless Apps usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_usage

\n
\n

double

\n

The total Serverless Apps usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

siem_12mo_retention_percentage

\n
\n

double

\n

The percentage of Cloud SIEM Indexed Logs (12-month retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

siem_12mo_retention_usage

\n
\n

double

\n

The Cloud SIEM Indexed Logs (12-month retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

siem_6mo_retention_percentage

\n
\n

double

\n

The percentage of Cloud SIEM Indexed Logs (6-month retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

siem_6mo_retention_usage

\n
\n

double

\n

The Cloud SIEM Indexed Logs (6-month retention) usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

siem_analyzed_logs_add_on_percentage

\n
\n

double

\n

The percentage of log events analyzed by Cloud SIEM usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

siem_analyzed_logs_add_on_usage

\n
\n

double

\n

The log events analyzed by Cloud SIEM usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

siem_ingested_bytes_percentage

\n
\n

double

\n

The percentage of SIEM usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

siem_ingested_bytes_usage

\n
\n

double

\n

The total SIEM usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

snmp_percentage

\n
\n

double

\n

The percentage of network device usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

snmp_usage

\n
\n

double

\n

The network device usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

universal_service_monitoring_percentage

\n
\n

double

\n

The percentage of universal service monitoring usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

universal_service_monitoring_usage

\n
\n

double

\n

The universal service monitoring usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

vuln_management_hosts_percentage

\n
\n

double

\n

The percentage of Application Vulnerability Management usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

vuln_management_hosts_usage

\n
\n

double

\n

The Application Vulnerability Management usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

workflow_executions_percentage

\n
\n

double

\n

The percentage of workflow executions usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n

workflow_executions_usage

\n
\n

double

\n

The total workflow executions usage by tag(s).

\n
\n \n
\n
\n
\n
\n
\n
" }, "403": { "json": { @@ -3656,7 +3656,7 @@ "vuln_management_host_count_top99p_sum": "integer", "workflow_executions_usage_agg_sum": "integer" }, - "html": "
\n
\n
\n
\n

agent_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all agent hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_agent_builder_ai_credits_agg_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Agent Builder over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_agg_sum

\n
\n

int64

\n

Shows the sum of all AI credits over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_assistant_ai_credits_agg_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI Assistant over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_dev_ai_credits_agg_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI Dev over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_sre_ai_credits_agg_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI SRE over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_azure_app_service_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Azure app services using APM over all hours in the current month all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_devsecops_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all APM DevSecOps hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_enterprise_standalone_hosts_top99p_sum

\n
\n

int64

\n

Shows the sum of the 99th percentile of all distinct standalone Enterprise hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_fargate_count_avg_sum

\n
\n

int64

\n

Shows the average of all APM ECS Fargate tasks over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all distinct APM hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_pro_standalone_hosts_top99p_sum

\n
\n

int64

\n

Shows the sum of the 99th percentile of all distinct standalone Pro hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

appsec_fargate_count_avg_sum

\n
\n

int64

\n

Shows the average of all Application Security Monitoring ECS Fargate tasks over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

asm_serverless_agg_sum

\n
\n

int64

\n

Shows the sum of all Application Security Monitoring Serverless invocations over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

audit_logs_lines_indexed_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all audit logs lines indexed over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

audit_trail_enabled_hwm_sum

\n
\n

int64

\n

Shows the total number of organizations that had Audit Trail enabled over a specific number of months.

\n
\n \n
\n
\n
\n
\n
\n

audit_trail_event_forwarding_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Audit Trail event forwarding events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

avg_profiled_fargate_tasks_sum

\n
\n

int64

\n

The average total count for Fargate Container Profiler over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

aws_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all AWS hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

aws_lambda_func_count

\n
\n

int64

\n

Shows the average of the number of functions that executed 1 or more times each hour in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

aws_lambda_invocations_sum

\n
\n

int64

\n

Shows the sum of all AWS Lambda invocations over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

azure_app_service_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Azure app services over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

azure_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Azure hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

billable_ingested_bytes_agg_sum

\n
\n

int64

\n

Shows the sum of all log bytes ingested over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

bits_ai_investigations_agg_sum

\n
\n

int64

\n

Shows the sum of all Bits AI Investigations over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_lite_session_count_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser lite sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_replay_session_count_agg_sum

\n
\n

int64

\n

Shows the sum of all browser replay sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_units_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser RUM units over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

ccm_anthropic_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of Anthropic cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_aws_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of AWS cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_azure_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of Azure cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_confluent_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of Confluent cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_databricks_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of Databricks cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_elastic_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of Elastic cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_fastly_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of Fastly cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_gcp_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of GCP cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_github_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of GitHub cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_mongodb_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of MongoDB cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_oci_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of OCI cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_openai_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of OpenAI cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_snowflake_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of Snowflake cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_spend_monitored_ent_last_sum

\n
\n

int64

\n

Shows the sum of the last value of the amount of cloud spend monitored for Enterprise in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_spend_monitored_pro_last_sum

\n
\n

int64

\n

Shows the sum of the last value of the amount of cloud spend monitored for Pro in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_twilio_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of Twilio cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_pipeline_indexed_spans_agg_sum

\n
\n

int64

\n

Shows the sum of all CI pipeline indexed spans over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_test_indexed_spans_agg_sum

\n
\n

int64

\n

Shows the sum of all CI test indexed spans over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_itr_committers_hwm_sum

\n
\n

int64

\n

Shows the high-water mark of all CI visibility intelligent test runner committers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_pipeline_committers_hwm_sum

\n
\n

int64

\n

Shows the high-water mark of all CI visibility pipeline committers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_test_committers_hwm_sum

\n
\n

int64

\n

Shows the high-water mark of all CI visibility test committers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_aws_host_count_avg_sum

\n
\n

int64

\n

Sum of the host count average for Cloud Cost Management for AWS.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_azure_host_count_avg_sum

\n
\n

int64

\n

Sum of the host count average for Cloud Cost Management for Azure.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_gcp_host_count_avg_sum

\n
\n

int64

\n

Sum of the host count average for Cloud Cost Management for GCP.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_host_count_avg_sum

\n
\n

int64

\n

Sum of the host count average for Cloud Cost Management for all cloud providers.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_oci_host_count_avg_sum

\n
\n

int64

\n

Sum of the average host counts for Cloud Cost Management on OCI.

\n
\n \n
\n
\n
\n
\n
\n

cloud_siem_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Information and Event Management events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cloud_siem_indexed_logs_agg_sum

\n
\n

int64

\n

Shows the sum of all Cloud SIEM Indexed Logs over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

code_analysis_sa_committers_hwm_sum

\n
\n

int64

\n

Shows the high-water mark of all Static Analysis committers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

code_analysis_sca_committers_hwm_sum

\n
\n

int64

\n

Shows the high-water mark of all static Software Composition Analysis committers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

code_security_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Code Security hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

container_avg_sum

\n
\n

int64

\n

Shows the average of all distinct containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

container_excl_agent_avg_sum

\n
\n

int64

\n

Shows the average of the containers without the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

container_hwm_sum

\n
\n

int64

\n

Shows the sum of the high-water marks of all distinct containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_compliance_count_agg_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise compliance containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_cws_count_agg_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise Cloud Workload Security containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_total_count_agg_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_aas_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Azure app services hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_aws_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise AWS hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_azure_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Azure hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_compliance_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise compliance hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_cws_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Cloud Workload Security hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_gcp_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise GCP hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_oci_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise OCI hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_total_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_hosts_agentless_scanners_agg_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_hosts_agentless_scanners_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_oci_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro OCI hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_aas_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Azure app services hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_aws_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro AWS hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_azure_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Azure hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_container_avg_sum

\n
\n

int64

\n

Shows the average number of Cloud Security Management Pro containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_container_hwm_sum

\n
\n

int64

\n

Shows the sum of the high-water marks of Cloud Security Management Pro containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_gcp_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro GCP hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_hosts_agentless_scanners_agg_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_hosts_agentless_scanners_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

custom_historical_ts_sum

\n
\n

int64

\n

Shows the average number of distinct historical custom metrics over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

custom_live_ts_sum

\n
\n

int64

\n

Shows the average number of distinct live custom metrics over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

custom_ts_sum

\n
\n

int64

\n

Shows the average number of distinct custom metrics over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cws_container_avg_sum

\n
\n

int64

\n

Shows the average of all distinct Cloud Workload Security containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cws_fargate_task_avg_sum

\n
\n

int64

\n

Shows the average of all distinct Cloud Workload Security Fargate tasks over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cws_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Workload Security hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

data_jobs_monitoring_host_hr_agg_sum

\n
\n

int64

\n

Shows the sum of Data Jobs Monitoring hosts over all hours in the current months for all organizations

\n
\n \n
\n
\n
\n
\n
\n

data_stream_monitoring_host_count_agg_sum

\n
\n

int64

\n

Shows the sum of all Data Streams Monitoring hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

data_stream_monitoring_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Data Streams Monitoring hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

dbm_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Database Monitoring hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

dbm_queries_avg_sum

\n
\n

int64

\n

Shows the average of all distinct Database Monitoring Normalized Queries over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

do_jobs_monitoring_orchestrators_job_hours_agg_sum

\n
\n

int64

\n

Shows the sum of all orchestrator job hours over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

end_date

\n
\n

date-time

\n

Shows the last date of usage in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_agent_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_alibaba_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Alibaba over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_aws_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on AWS over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_azure_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Azure over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_infra_basic_agent_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier with the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_infra_basic_vsphere_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier on vSphere over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_ent_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Enterprise over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_gcp_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on GCP over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_heroku_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Heroku over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_only_aas_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with only Azure App Services over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_only_vsphere_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with only vSphere over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_opentelemetry_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_opentelemetry_apm_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral APM hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_pro_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Pro over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_proplus_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Pro Plus over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_proxmox_agg_sum

\n
\n

int64

\n

Sum of all ephemeral infrastructure hosts for Proxmox over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_apm_error_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking APM error events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_error_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking error events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking events over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_rum_error_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking RUM error events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_agg_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlations over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_correlated_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlated events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_correlated_related_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlated related events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

fargate_container_profiler_profiling_fargate_avg_sum

\n
\n

int64

\n

The average number of Profiling Fargate tasks over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

fargate_container_profiler_profiling_fargate_eks_avg_sum

\n
\n

int64

\n

The average number of Profiling Fargate Elastic Kubernetes Service tasks over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

fargate_tasks_count_avg_sum

\n
\n

int64

\n

Shows the average of all Fargate tasks over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

fargate_tasks_count_hwm_sum

\n
\n

int64

\n

Shows the sum of the high-water marks of all Fargate tasks over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

feature_flags_config_requests_agg_sum

\n
\n

int64

\n

Shows the sum of all Feature Flags Client-Side SDK config requests over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_large_avg_sum

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Large Instances over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_medium_avg_sum

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Medium Instances over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_small_avg_sum

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Small Instances over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_xlarge_avg_sum

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Extra Large Instances over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_xsmall_avg_sum

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Extra Small Instances over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_avg_sum

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Instances over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_storage_index_avg_sum

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Storage Index Instances over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_storage_retention_adjustment_avg_sum

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Storage Retention Adjustment Instances over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_stored_logs_avg_sum

\n
\n

int64

\n

Shows the average of all Flex Stored Logs over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

forwarding_events_bytes_agg_sum

\n
\n

int64

\n

Shows the sum of all logs forwarding bytes over all hours in the current month for all organizations (data available as of April 1, 2023)

\n
\n \n
\n
\n
\n
\n
\n

gcp_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all GCP hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

heroku_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Heroku dynos over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

incident_management_monthly_active_users_hwm_sum

\n
\n

int64

\n

Shows sum of the high-water marks of incident management monthly active users in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

incident_management_seats_hwm_sum

\n
\n

int64

\n

Shows the sum of the high-water marks of Incident Management seats over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

indexed_events_count_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all log events indexed over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

indexed_points_agg_sum

\n
\n

int64

\n

Shows the sum of all indexed custom metrics points over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_agg_sum

\n
\n

int64

\n

Shows the sum of all Infrastructure vCPU cores over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_avg_sum

\n
\n

int64

\n

Shows the average of all Infrastructure vCPU cores over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_agg_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_avg_sum

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_basic_agg_sum

\n
\n

int64

\n

Shows the sum of all default basic Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_basic_avg_sum

\n
\n

int64

\n

Shows the average of all default basic Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_aws_agg_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on AWS over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_aws_avg_sum

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on AWS over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_azure_agg_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on Azure over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_azure_avg_sum

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on Azure over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_gcp_agg_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on GCP over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_gcp_avg_sum

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on GCP over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_agg_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on Nutanix over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_avg_sum

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on Nutanix over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_basic_agg_sum

\n
\n

int64

\n

Shows the sum of all default basic Infrastructure host vCPU cores on Nutanix over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_basic_avg_sum

\n
\n

int64

\n

Shows the average of all default basic Infrastructure host vCPU cores on Nutanix over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_opentelemetry_agg_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_opentelemetry_avg_sum

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_agent_agg_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_agent_avg_sum

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_aws_agg_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on AWS over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_aws_avg_sum

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on AWS over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_azure_agg_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on Azure over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_azure_avg_sum

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on Azure over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_gcp_agg_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on GCP over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_gcp_avg_sum

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on GCP over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_nutanix_agg_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on Nutanix over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_nutanix_avg_sum

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on Nutanix over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_opentelemetry_agg_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_opentelemetry_avg_sum

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_edge_monitoring_devices_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Edge Devices Monitoring devices over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_infra_basic_agent_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier with the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_infra_basic_vsphere_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier on vSphere over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_storage_mgmt_objects_count_avg_sum

\n
\n

int64

\n

Shows the average number of storage management objects over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ingest_points_agg_sum

\n
\n

int64

\n

Shows the sum of all ingested custom metrics points over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ingested_events_bytes_agg_sum

\n
\n

int64

\n

Shows the sum of all log bytes ingested over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

iot_apm_host_agg_sum

\n
\n

int64

\n

Shows the sum of all Application Performance Monitoring IoT hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

iot_apm_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Application Performance Monitoring IoT hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

iot_device_agg_sum

\n
\n

int64

\n

Shows the sum of all IoT devices over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

iot_device_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all IoT devices over all hours in the current month of all organizations.

\n
\n \n
\n
\n
\n
\n
\n

last_updated

\n
\n

date-time

\n

Shows the most recent hour in the current month for all organizations for which all usages were calculated.

\n
\n \n
\n
\n
\n
\n
\n

live_indexed_events_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all live logs indexed over all hours in the current month for all organization (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

live_ingested_bytes_agg_sum

\n
\n

int64

\n

Shows the sum of all live logs bytes ingested over all hours in the current month for all organizations (data available as of December 1, 2020).

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_15day_retention_spans_agg_sum

\n
\n

int64

\n

Shows the sum of all LLM Observability 15-day retention spans over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_30day_retention_spans_agg_sum

\n
\n

int64

\n

Shows the sum of all LLM Observability 30-day retention spans over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_60day_retention_spans_agg_sum

\n
\n

int64

\n

Shows the sum of all LLM Observability 60-day retention spans over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_90day_retention_spans_agg_sum

\n
\n

int64

\n

Shows the sum of all LLM Observability 90-day retention spans over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_agg_sum

\n
\n

int64

\n

Sum of all LLM observability sessions for all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_min_spend_agg_sum

\n
\n

int64

\n

Minimum spend for LLM observability sessions for all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

logs_archive_search_gb_scanned_agg_sum

\n
\n

int64

\n

Shows the sum of all Logs Archive Search scanned data over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

logs_by_retention

\n
\n

object

\n

Object containing logs usage data broken down by retention period.

\n
\n
\n
\n
\n
\n

orgs

\n
\n

object

\n

Indexed logs usage summary for each organization for each retention period with usage.

\n
\n
\n
\n
\n
\n

usage

\n
\n

[object]

\n

Indexed logs usage summary for each organization.

\n
\n
\n
\n
\n
\n

usage

\n
\n

[object]

\n

Indexed logs usage for each active retention for the organization.

\n
\n
\n
\n
\n
\n

logs_indexed_logs_usage_sum

\n
\n

int64

\n

Total indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

logs_live_indexed_logs_usage_sum

\n
\n

int64

\n

Live indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

logs_rehydrated_indexed_logs_usage_sum

\n
\n

int64

\n

Rehydrated indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

retention

\n
\n

string

\n

The retention period in days or "custom" for all custom retention periods.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

usage

\n
\n

[object]

\n

Aggregated index logs usage for each retention period with usage.

\n
\n
\n
\n
\n
\n

logs_indexed_logs_usage_agg_sum

\n
\n

int64

\n

Total indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

logs_live_indexed_logs_usage_agg_sum

\n
\n

int64

\n

Live indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

logs_rehydrated_indexed_logs_usage_agg_sum

\n
\n

int64

\n

Rehydrated indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

retention

\n
\n

string

\n

The retention period in days or "custom" for all custom retention periods.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

usage_by_month

\n
\n

object

\n

Object containing a summary of indexed logs usage by retention period for a single month.

\n
\n
\n
\n
\n
\n

date

\n
\n

date-time

\n

The month for the usage.

\n
\n \n
\n
\n
\n
\n
\n

usage

\n
\n

[object]

\n

Indexed logs usage for each active retention for the month.

\n
\n
\n
\n
\n
\n

logs_indexed_logs_usage_sum

\n
\n

int64

\n

Total indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

logs_live_indexed_logs_usage_sum

\n
\n

int64

\n

Live indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

logs_rehydrated_indexed_logs_usage_sum

\n
\n

int64

\n

Rehydrated indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

retention

\n
\n

string

\n

The retention period in days or "custom" for all custom retention periods.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

metric_names_agg_sum

\n
\n

int64

\n

Shows the sum of all custom metric names over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_lite_session_count_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile lite sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_android_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Android over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_flutter_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Flutter over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_ios_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on iOS over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_reactnative_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on React Native over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_roku_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Roku over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_units_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM units over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

ndm_netflow_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Network Device Monitoring NetFlow events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

netflow_indexed_events_count_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all Network flows indexed over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

network_device_wireless_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Network Device Monitoring wireless devices over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

network_path_agg_sum

\n
\n

int64

\n

Shows the sum of all Network Path scheduled tests over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

npm_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all distinct Cloud Network Monitoring hosts (formerly known as Network hosts) over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

observability_pipelines_bytes_processed_agg_sum

\n
\n

int64

\n

Sum of all observability pipelines bytes processed over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

oci_host_agg_sum

\n
\n

int64

\n

Shows the sum of Oracle Cloud Infrastructure hosts over all hours in the current months for all organizations

\n
\n \n
\n
\n
\n
\n
\n

oci_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of Oracle Cloud Infrastructure hosts over all hours in the current months for all organizations

\n
\n \n
\n
\n
\n
\n
\n

on_call_seat_hwm_sum

\n
\n

int64

\n

Shows the sum of the high-water marks of On-Call seats over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

online_archive_events_count_agg_sum

\n
\n

int64

\n

Sum of all online archived events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

opentelemetry_apm_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of APM hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

opentelemetry_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

product_analytics_agg_sum

\n
\n

int64

\n

Sum of all product analytics sessions for all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

profiling_aas_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all profiled Azure app services over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

profiling_container_agent_count_avg

\n
\n

int64

\n

Shows the average number of profiled containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

profiling_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all profiled hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

proxmox_host_agg_sum

\n
\n

int64

\n

Sum of all Proxmox hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

proxmox_host_top99p_sum

\n
\n

int64

\n

Sum of the 99th percentile of all Proxmox hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

published_app_hwm_sum

\n
\n

int64

\n

Shows the high-water mark of all published applications over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rehydrated_indexed_events_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all rehydrated logs indexed over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rehydrated_ingested_bytes_agg_sum

\n
\n

int64

\n

Shows the sum of all rehydrated logs bytes ingested over all hours in the current month for all organizations (data available as of December 1, 2020).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_and_mobile_session_count

\n
\n

int64

\n

Shows the sum of all mobile sessions and all browser lite and legacy sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_legacy_session_count_agg_sum

\n
\n

int64

\n

Shows the sum of all browser RUM legacy sessions over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_lite_session_count_agg_sum

\n
\n

int64

\n

Shows the sum of all browser RUM lite sessions over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_replay_session_count_agg_sum

\n
\n

int64

\n

Shows the sum of all browser RUM Session Replay counts over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_indexed_sessions_agg_sum

\n
\n

int64

\n

Sum of all RUM indexed sessions for all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_ingested_sessions_agg_sum

\n
\n

int64

\n

Sum of all RUM ingested sessions for all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_lite_session_count_agg_sum

\n
\n

int64

\n

Shows the sum of all RUM lite sessions (browser and mobile) over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_android_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on Android over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_flutter_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on Flutter over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_ios_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on iOS over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_reactnative_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on React Native over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_roku_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on Roku over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_android_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Android over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_flutter_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Flutter over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_ios_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on iOS over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_kotlinmultiplatform_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Kotlin Multiplatform over all hours within the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_reactnative_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on React Native over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_roku_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Roku over all hours within the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_unity_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Unity over all hours within the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_android_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on Android over all hours within the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_ios_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on iOS over all hours within the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_kotlinmultiplatform_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on Kotlin Multiplatform over all hours within the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_reactnative_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on React Native over all hours within the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_replay_session_count_agg_sum

\n
\n

int64

\n

Shows the sum of all RUM Session Replay counts over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_session_count_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser RUM lite sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_session_replay_add_on_agg_sum

\n
\n

int64

\n

Sum of all RUM session replay add-on sessions for all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_total_session_count_agg_sum

\n
\n

int64

\n

Shows the sum of RUM sessions (browser and mobile) over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_units_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser and mobile RUM units over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

sca_fargate_count_avg_sum

\n
\n

int64

\n

Shows the average of all Software Composition Analysis Fargate tasks over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sca_fargate_count_hwm_sum

\n
\n

int64

\n

Shows the sum of the high-water marks of all Software Composition Analysis Fargate tasks over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_apm_scanned_bytes_sum

\n
\n

int64

\n

Sum of all APM bytes scanned with sensitive data scanner in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_events_scanned_bytes_sum

\n
\n

int64

\n

Sum of all event stream events bytes scanned with sensitive data scanner in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_logs_scanned_bytes_sum

\n
\n

int64

\n

Shows the sum of all bytes scanned of logs usage by the Sensitive Data Scanner over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_rum_scanned_bytes_sum

\n
\n

int64

\n

Sum of all RUM bytes scanned with sensitive data scanner in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_total_scanned_bytes_sum

\n
\n

int64

\n

Shows the sum of all bytes scanned across all usage types by the Sensitive Data Scanner over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_appservice_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring for Azure App Service instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_azurefunction_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring for Azure Function instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_containerapp_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring for Azure Container App instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_fargate_ecs_tasks_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring for Fargate Elastic Container Service tasks in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_cloudfunction_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring for Google Cloud Platform Cloud Function instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_cloudrun_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring for Google Cloud Platform Cloud Run instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_gke_autopilot_pods_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring for Google Kubernetes Engine Autopilot pods in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_appservice_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure App Service instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_azurefunction_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure Function instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_containerapp_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure Container App instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_cloudfunction_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Cloud Platform Cloud Function instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_cloudrun_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Cloud Platform Cloud Run instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_gke_autopilot_pods_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Kubernetes Engine Autopilot pods in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_container_app_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Azure Container App instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_count_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Azure in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_function_app_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Azure Function App instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_web_app_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Azure Web App instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_dsm_fargate_tasks_avg_sum

\n
\n

int64

\n

Sum of the average number of DSM Fargate ECS tasks monitored under Serverless Apps DSM in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_ecs_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Elastic Container Service in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_eks_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Elastic Kubernetes Service in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps excluding Fargate in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_container_app_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps excluding Fargate for Azure Container App instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_function_app_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps excluding Fargate for Azure Function App instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_web_app_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps excluding Fargate for Azure Web App instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_google_cloud_functions_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps excluding Fargate for Google Cloud Platform Cloud Functions instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_google_cloud_run_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps excluding Fargate for Google Cloud Platform Cloud Run instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_infra_gcp_gke_autopilot_pods_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps excluding Fargate for Google Kubernetes Engine Autopilot pods in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_cloud_functions_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Google Cloud Platform Cloud Functions instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_cloud_run_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Google Cloud Platform Cloud Run instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_count_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Google Cloud in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_infra_gcp_gke_autopilot_pods_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Google Kubernetes Engine Autopilot pods in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_total_count_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Azure and Google Cloud in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

siem_12mo_retention_agg_sum

\n
\n

int64

\n

Shows the sum of Cloud SIEM Indexed Logs (12-month retention) over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

siem_6mo_retention_agg_sum

\n
\n

int64

\n

Shows the sum of Cloud SIEM Indexed Logs (6-month retention) over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

siem_analyzed_logs_add_on_count_agg_sum

\n
\n

int64

\n

Shows the sum of all log events analyzed by Cloud SIEM over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

snmp_device_count_agg_sum

\n
\n

int64

\n

Shows the sum of all Network Device Monitoring devices over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

snmp_device_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Network Device Monitoring devices over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

start_date

\n
\n

date-time

\n

Shows the first date of usage in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_browser_check_calls_count_agg_sum

\n
\n

int64

\n

Shows the sum of all Synthetic browser tests over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_check_calls_count_agg_sum

\n
\n

int64

\n

Shows the sum of all Synthetic API tests over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_mobile_test_runs_agg_sum

\n
\n

int64

\n

Shows the sum of Synthetic mobile application tests over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_parallel_testing_max_slots_hwm_sum

\n
\n

int64

\n

Shows the sum of the high-water marks of used synthetics parallel testing slots over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

trace_search_indexed_events_count_agg_sum

\n
\n

int64

\n

Shows the sum of all Indexed Spans indexed over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

twol_ingested_events_bytes_agg_sum

\n
\n

int64

\n

Shows the sum of all ingested APM span bytes over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

universal_service_monitoring_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Universal Service Monitoring hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

usage

\n
\n

[object]

\n

An array of objects regarding hourly usage.

\n
\n
\n
\n
\n
\n

agent_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all agent hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_agent_builder_ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Agent Builder over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_assistant_ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI Assistant over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_dev_ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI Dev over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_sre_ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI SRE over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_azure_app_service_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Azure app services using APM over all hours in the current date all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_devsecops_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all APM DevSecOps hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

apm_enterprise_standalone_hosts_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct standalone Enterprise hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_fargate_count_avg

\n
\n

int64

\n

Shows the average of all APM ECS Fargate tasks over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct APM hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_pro_standalone_hosts_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct standalone Pro hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

appsec_fargate_count_avg

\n
\n

int64

\n

Shows the average of all Application Security Monitoring ECS Fargate tasks over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

asm_serverless_sum

\n
\n

int64

\n

Shows the sum of all Application Security Monitoring Serverless invocations over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

audit_logs_lines_indexed_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of audit logs lines indexed over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

audit_trail_enabled_hwm

\n
\n

int64

\n

Shows the number of organizations that had Audit Trail enabled in the current date.

\n
\n \n
\n
\n
\n
\n
\n

audit_trail_event_forwarding_events_sum

\n
\n

int64

\n

Shows the sum of all Audit Trail event forwarding events over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

avg_profiled_fargate_tasks

\n
\n

int64

\n

The average total count for Fargate Container Profiler over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

aws_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all AWS hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

aws_lambda_func_count

\n
\n

int64

\n

Shows the average of the number of functions that executed 1 or more times each hour in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

aws_lambda_invocations_sum

\n
\n

int64

\n

Shows the sum of all AWS Lambda invocations over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

azure_app_service_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Azure app services over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

billable_ingested_bytes_sum

\n
\n

int64

\n

Shows the sum of all log bytes ingested over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

bits_ai_investigations_sum

\n
\n

int64

\n

Shows the sum of all Bits AI Investigations over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_lite_session_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser lite sessions over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_replay_session_count_sum

\n
\n

int64

\n

Shows the sum of all browser replay sessions over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_units_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser RUM units over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

ccm_anthropic_spend_last

\n
\n

int64

\n

Shows the last value of Anthropic cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_aws_spend_last

\n
\n

int64

\n

Shows the last value of AWS cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_azure_spend_last

\n
\n

int64

\n

Shows the last value of Azure cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_confluent_spend_last

\n
\n

int64

\n

Shows the last value of Confluent cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_databricks_spend_last

\n
\n

int64

\n

Shows the last value of Databricks cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_elastic_spend_last

\n
\n

int64

\n

Shows the last value of Elastic cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_fastly_spend_last

\n
\n

int64

\n

Shows the last value of Fastly cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_gcp_spend_last

\n
\n

int64

\n

Shows the last value of GCP cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_github_spend_last

\n
\n

int64

\n

Shows the last value of GitHub cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_mongodb_spend_last

\n
\n

int64

\n

Shows the last value of MongoDB cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_oci_spend_last

\n
\n

int64

\n

Shows the last value of OCI cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_openai_spend_last

\n
\n

int64

\n

Shows the last value of OpenAI cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_snowflake_spend_last

\n
\n

int64

\n

Shows the last value of Snowflake cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_spend_monitored_ent_last

\n
\n

int64

\n

Shows the last value of the amount of cloud spend monitored for Enterprise over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_spend_monitored_pro_last

\n
\n

int64

\n

Shows the last value of the amount of cloud spend monitored for Pro over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_twilio_spend_last

\n
\n

int64

\n

Shows the last value of Twilio cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_pipeline_indexed_spans_sum

\n
\n

int64

\n

Shows the sum of all CI pipeline indexed spans over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_test_indexed_spans_sum

\n
\n

int64

\n

Shows the sum of all CI test indexed spans over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_itr_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all CI visibility intelligent test runner committers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_pipeline_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all CI visibility pipeline committers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_test_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all CI visibility test committers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_aws_host_count_avg

\n
\n

int64

\n

Host count average of Cloud Cost Management for AWS for the given date and given organization.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_azure_host_count_avg

\n
\n

int64

\n

Host count average of Cloud Cost Management for Azure for the given date and given organization.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_gcp_host_count_avg

\n
\n

int64

\n

Host count average of Cloud Cost Management for GCP for the given date and given organization.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_host_count_avg

\n
\n

int64

\n

Host count average of Cloud Cost Management for all cloud providers for the given date and given organization.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_oci_host_count_avg

\n
\n

int64

\n

Average host count for Cloud Cost Management on OCI for the given date and organization.

\n
\n \n
\n
\n
\n
\n
\n

cloud_siem_events_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Information and Event Management events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cloud_siem_indexed_logs_sum

\n
\n

int64

\n

Shows the sum of all Cloud SIEM Indexed Logs over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

code_analysis_sa_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all Static Analysis committers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

code_analysis_sca_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all static Software Composition Analysis committers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

code_security_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Code Security hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

container_avg

\n
\n

int64

\n

Shows the average of all distinct containers over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

container_excl_agent_avg

\n
\n

int64

\n

Shows the average of containers without the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

container_hwm

\n
\n

int64

\n

Shows the high-water mark of all distinct containers over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_compliance_count_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise compliance containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_cws_count_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise Cloud Workload Security containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_total_count_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_aas_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Azure app services hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_aws_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise AWS hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_azure_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Azure hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_compliance_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise compliance hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_cws_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Cloud Workload Security hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_gcp_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise GCP hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_oci_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise OCI hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_total_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_hosts_agentless_scanners_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_hosts_agentless_scanners_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_oci_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro OCI hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_aas_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Azure app services hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_aws_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro AWS hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_azure_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Azure hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_container_avg

\n
\n

int64

\n

Shows the average number of Cloud Security Management Pro containers over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_container_hwm

\n
\n

int64

\n

Shows the high-water mark of Cloud Security Management Pro containers over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_gcp_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro GCP hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_hosts_agentless_scanners_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_hosts_agentless_scanners_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

custom_ts_avg

\n
\n

int64

\n

Shows the average number of distinct custom metrics over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cws_container_count_avg

\n
\n

int64

\n

Shows the average of all distinct Cloud Workload Security containers over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cws_fargate_task_avg

\n
\n

int64

\n

Shows the average of all distinct Cloud Workload Security Fargate tasks over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cws_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Workload Security hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

data_jobs_monitoring_host_hr_sum

\n
\n

int64

\n

Shows the sum of all Data Jobs Monitoring hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

data_stream_monitoring_host_count_sum

\n
\n

int64

\n

Shows the sum of all Data Streams Monitoring hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

data_stream_monitoring_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Data Streams Monitoring hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

date

\n
\n

date-time

\n

The date for the usage.

\n
\n \n
\n
\n
\n
\n
\n

dbm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Database Monitoring hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

dbm_queries_count_avg

\n
\n

int64

\n

Shows the average of all normalized Database Monitoring queries over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

do_jobs_monitoring_orchestrators_job_hours_sum

\n
\n

int64

\n

Shows the sum of all orchestrator job hours over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_agent_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_alibaba_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Alibaba over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_aws_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on AWS over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_azure_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Azure over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_infra_basic_agent_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier with the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_infra_basic_vsphere_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier on vSphere over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_ent_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Enterprise over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_gcp_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on GCP over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_heroku_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Heroku over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_only_aas_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with only Azure App Services over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_only_vsphere_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with only vSphere over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_opentelemetry_apm_sum

\n
\n

int64

\n

Shows the sum of all ephemeral APM hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_opentelemetry_sum

\n
\n

int64

\n

Shows the sum of all ephemeral hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_pro_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Pro over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_proplus_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Pro Plus over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_proxmox_sum

\n
\n

int64

\n

Sum of all ephemeral infrastructure hosts for Proxmox over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_apm_error_events_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking APM error events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_error_events_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking error events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_events_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_rum_error_events_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking RUM error events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_correlated_events_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlated events over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_correlated_related_events_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlated related events over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlations over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

fargate_container_profiler_profiling_fargate_avg

\n
\n

int64

\n

The average number of Profiling Fargate tasks over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

fargate_container_profiler_profiling_fargate_eks_avg

\n
\n

int64

\n

The average number of Profiling Fargate Elastic Kubernetes Service tasks over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

fargate_tasks_count_avg

\n
\n

int64

\n

Shows the high-watermark of all Fargate tasks over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

fargate_tasks_count_hwm

\n
\n

int64

\n

Shows the average of all Fargate tasks over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

feature_flags_config_requests_sum

\n
\n

int64

\n

Shows the sum of all Feature Flags Client-Side SDK config requests over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_large_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Large Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_medium_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Medium Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_small_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Small Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_xlarge_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Extra Large Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_xsmall_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Extra Small Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_storage_index_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Storage Index Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_storage_retention_adjustment_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Storage Retention Adjustment Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_stored_logs_avg

\n
\n

int64

\n

Shows the average of all Flex Stored Logs over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

forwarding_events_bytes_sum

\n
\n

int64

\n

Shows the sum of all log bytes forwarded over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

gcp_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all GCP hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

heroku_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Heroku dynos over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

incident_management_monthly_active_users_hwm

\n
\n

int64

\n

Shows the high-water mark of incident management monthly active users over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

incident_management_seats_hwm

\n
\n

int64

\n

Shows the high-water mark of Incident Management seats over all hours on the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

indexed_events_count_sum

\n
\n

int64

\n

Shows the sum of all log events indexed over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

indexed_points_sum

\n
\n

int64

\n

Shows the sum of all indexed custom metrics points over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_avg

\n
\n

int64

\n

Shows the average of all Infrastructure vCPU cores over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_basic_avg

\n
\n

int64

\n

Shows the average of all default basic Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_basic_sum

\n
\n

int64

\n

Shows the sum of all default basic Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_aws_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on AWS over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_aws_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on AWS over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_azure_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on Azure over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_azure_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on Azure over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_gcp_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on GCP over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_gcp_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on GCP over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on Nutanix over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_basic_avg

\n
\n

int64

\n

Shows the average of all default basic Infrastructure host vCPU cores on Nutanix over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_basic_sum

\n
\n

int64

\n

Shows the sum of all default basic Infrastructure host vCPU cores on Nutanix over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on Nutanix over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_opentelemetry_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_opentelemetry_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_agent_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_agent_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_aws_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on AWS over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_aws_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on AWS over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_azure_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on Azure over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_azure_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on Azure over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_gcp_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on GCP over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_gcp_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on GCP over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_nutanix_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on Nutanix over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_nutanix_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on Nutanix over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_opentelemetry_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_opentelemetry_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_sum

\n
\n

int64

\n

Shows the sum of all Infrastructure vCPU cores over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_edge_monitoring_devices_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Edge Devices Monitoring devices over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_infra_basic_agent_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier with the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_infra_basic_vsphere_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier on vSphere over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_storage_mgmt_objects_count_avg

\n
\n

int64

\n

Shows the average number of storage management objects over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ingest_points_sum

\n
\n

int64

\n

Shows the sum of all ingested custom metrics points over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ingested_events_bytes_sum

\n
\n

int64

\n

Shows the sum of all log bytes ingested over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

iot_apm_host_sum

\n
\n

int64

\n

Shows the sum of all Application Performance Monitoring IoT hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

iot_apm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Application Performance Monitoring IoT hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

iot_device_sum

\n
\n

int64

\n

Shows the sum of all IoT devices over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

iot_device_top99p

\n
\n

int64

\n

Shows the 99th percentile of all IoT devices over all hours in the current date all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_15day_retention_spans_sum

\n
\n

int64

\n

Shows the sum of all LLM Observability 15-day retention spans over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_30day_retention_spans_sum

\n
\n

int64

\n

Shows the sum of all LLM Observability 30-day retention spans over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_60day_retention_spans_sum

\n
\n

int64

\n

Shows the sum of all LLM Observability 60-day retention spans over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_90day_retention_spans_sum

\n
\n

int64

\n

Shows the sum of all LLM Observability 90-day retention spans over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_min_spend_sum

\n
\n

int64

\n

Sum of all LLM observability minimum spend over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_sum

\n
\n

int64

\n

Sum of all LLM observability sessions over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

logs_archive_search_gb_scanned_sum

\n
\n

int64

\n

Shows the sum of all Logs Archive Search scanned data over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

metric_names_sum

\n
\n

int64

\n

Shows the sum of all custom metric names over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_lite_session_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile lite sessions over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_android_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Android over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_flutter_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Flutter over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_ios_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on iOS over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_reactnative_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on React Native over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_roku_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Roku over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_units_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM units over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

ndm_netflow_events_sum

\n
\n

int64

\n

Shows the sum of all Network Device Monitoring NetFlow events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

netflow_indexed_events_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all Network flows indexed over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

network_device_wireless_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Network Device Monitoring wireless devices over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

network_path_sum

\n
\n

int64

\n

Shows the sum of all Network Path scheduled tests over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

npm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct Cloud Network Monitoring hosts (formerly known as Network hosts) over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

observability_pipelines_bytes_processed_sum

\n
\n

int64

\n

Sum of all observability pipelines bytes processed over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

oci_host_sum

\n
\n

int64

\n

Shows the sum of all Oracle Cloud Infrastructure hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

oci_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Oracle Cloud Infrastructure hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

on_call_seat_hwm

\n
\n

int64

\n

Shows the high-water mark of On-Call seats over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

online_archive_events_count_sum

\n
\n

int64

\n

Sum of all online archived events over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

opentelemetry_apm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of APM hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

opentelemetry_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

orgs

\n
\n

[object]

\n

Organizations associated with a user.

\n
\n
\n
\n
\n
\n

account_name

\n
\n

string

\n

The account name.

\n
\n \n
\n
\n
\n
\n
\n

account_public_id

\n
\n

string

\n

The account public id.

\n
\n \n
\n
\n
\n
\n
\n

agent_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all agent hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_agent_builder_ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Agent Builder over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_assistant_ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI Assistant over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_dev_ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI Dev over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_sre_ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI SRE over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

apm_azure_app_service_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Azure app services using APM over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

apm_devsecops_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all APM DevSecOps hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

apm_enterprise_standalone_hosts_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct standalone Enterprise hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

apm_fargate_count_avg

\n
\n

int64

\n

Shows the average of all APM ECS Fargate tasks over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

apm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct APM hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

apm_pro_standalone_hosts_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct standalone Pro hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

appsec_fargate_count_avg

\n
\n

int64

\n

Shows the average of all Application Security Monitoring ECS Fargate tasks over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

asm_serverless_sum

\n
\n

int64

\n

Shows the sum of all Application Security Monitoring Serverless invocations over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

audit_logs_lines_indexed_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all audit logs lines indexed over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

audit_trail_enabled_hwm

\n
\n

int64

\n

Shows whether Audit Trail is enabled for the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

audit_trail_event_forwarding_events_sum

\n
\n

int64

\n

Shows the sum of all Audit Trail event forwarding events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

avg_profiled_fargate_tasks

\n
\n

int64

\n

The average total count for Fargate Container Profiler over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

aws_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all AWS hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

aws_lambda_func_count

\n
\n

int64

\n

Shows the sum of all AWS Lambda invocations over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

aws_lambda_invocations_sum

\n
\n

int64

\n

Shows the sum of all AWS Lambda invocations over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

azure_app_service_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Azure app services over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

billable_ingested_bytes_sum

\n
\n

int64

\n

Shows the sum of all log bytes ingested over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

bits_ai_investigations_sum

\n
\n

int64

\n

Shows the sum of all Bits AI Investigations over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_lite_session_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser lite sessions over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_replay_session_count_sum

\n
\n

int64

\n

Shows the sum of all browser replay sessions over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_units_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser RUM units over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

ccm_anthropic_spend_last

\n
\n

int64

\n

Shows the last value of Anthropic cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_aws_spend_last

\n
\n

int64

\n

Shows the last value of AWS cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_azure_spend_last

\n
\n

int64

\n

Shows the last value of Azure cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_confluent_spend_last

\n
\n

int64

\n

Shows the last value of Confluent cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_databricks_spend_last

\n
\n

int64

\n

Shows the last value of Databricks cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_elastic_spend_last

\n
\n

int64

\n

Shows the last value of Elastic cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_fastly_spend_last

\n
\n

int64

\n

Shows the last value of Fastly cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_gcp_spend_last

\n
\n

int64

\n

Shows the last value of GCP cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_github_spend_last

\n
\n

int64

\n

Shows the last value of GitHub cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_mongodb_spend_last

\n
\n

int64

\n

Shows the last value of MongoDB cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_oci_spend_last

\n
\n

int64

\n

Shows the last value of OCI cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_openai_spend_last

\n
\n

int64

\n

Shows the last value of OpenAI cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_snowflake_spend_last

\n
\n

int64

\n

Shows the last value of Snowflake cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_spend_monitored_ent_last

\n
\n

int64

\n

Shows the last value of the amount of cloud spend monitored for Enterprise over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_spend_monitored_pro_last

\n
\n

int64

\n

Shows the last value of the amount of cloud spend monitored for Pro over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_twilio_spend_last

\n
\n

int64

\n

Shows the last value of Twilio cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ci_pipeline_indexed_spans_sum

\n
\n

int64

\n

Shows the sum of all CI pipeline indexed spans over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ci_test_indexed_spans_sum

\n
\n

int64

\n

Shows the sum of all CI test indexed spans over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_itr_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all CI visibility intelligent test runner committers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_pipeline_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all CI visibility pipeline committers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_test_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all CI visibility test committers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_aws_host_count_avg

\n
\n

int64

\n

Host count average of Cloud Cost Management for AWS for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_azure_host_count_avg

\n
\n

int64

\n

Host count average of Cloud Cost Management for Azure for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_gcp_host_count_avg

\n
\n

int64

\n

Host count average of Cloud Cost Management for GCP for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_host_count_avg

\n
\n

int64

\n

Host count average of Cloud Cost Management for all cloud providers for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_oci_host_count_avg

\n
\n

int64

\n

Average host count for Cloud Cost Management on OCI for the given date and organization.

\n
\n \n
\n
\n
\n
\n
\n

cloud_siem_events_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Information and Event Management events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cloud_siem_indexed_logs_sum

\n
\n

int64

\n

Shows the sum of all Cloud SIEM Indexed Logs over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

code_analysis_sa_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all Static Analysis committers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

code_analysis_sca_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all static Software Composition Analysis committers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

code_security_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Code Security hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

container_avg

\n
\n

int64

\n

Shows the average of all distinct containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

container_excl_agent_avg

\n
\n

int64

\n

Shows the average of containers without the Datadog Agent over all hours in the current date for the given organization.

\n
\n \n
\n
\n
\n
\n
\n

container_hwm

\n
\n

int64

\n

Shows the high-water mark of all distinct containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_compliance_count_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise compliance containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_cws_count_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise Cloud Workload Security containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_total_count_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_aas_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Azure app services hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_aws_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise AWS hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_azure_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Azure hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_compliance_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise compliance hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_cws_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Cloud Workload Security hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_gcp_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise GCP hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_oci_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise OCI hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_total_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_hosts_agentless_scanners_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_hosts_agentless_scanners_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_oci_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro OCI hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_aas_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Azure app services hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_aws_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro AWS hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_azure_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Azure hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_container_avg

\n
\n

int64

\n

Shows the average number of Cloud Security Management Pro containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_container_hwm

\n
\n

int64

\n

Shows the high-water mark of Cloud Security Management Pro containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_gcp_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro GCP hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_hosts_agentless_scanners_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_hosts_agentless_scanners_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

custom_historical_ts_avg

\n
\n

int64

\n

Shows the average number of distinct historical custom metrics over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

custom_live_ts_avg

\n
\n

int64

\n

Shows the average number of distinct live custom metrics over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

custom_ts_avg

\n
\n

int64

\n

Shows the average number of distinct custom metrics over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cws_container_count_avg

\n
\n

int64

\n

Shows the average of all distinct Cloud Workload Security containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cws_fargate_task_avg

\n
\n

int64

\n

Shows the average of all distinct Cloud Workload Security Fargate tasks over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cws_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Workload Security hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

data_jobs_monitoring_host_hr_sum

\n
\n

int64

\n

Shows the sum of all Data Jobs Monitoring hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

data_stream_monitoring_host_count_sum

\n
\n

int64

\n

Shows the sum of all Data Streams Monitoring hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

data_stream_monitoring_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Data Streams Monitoring hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

dbm_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Database Monitoring hosts over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

dbm_queries_avg_sum

\n
\n

int64

\n

Shows the average of all distinct Database Monitoring normalized queries over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

do_jobs_monitoring_orchestrators_job_hours_sum

\n
\n

int64

\n

Shows the sum of all orchestrator job hours over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_agent_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_alibaba_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Alibaba over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_aws_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on AWS over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_azure_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Azure over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_infra_basic_agent_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier with the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_infra_basic_vsphere_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier on vSphere over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_ent_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Enterprise over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_gcp_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on GCP over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_heroku_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Heroku over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_only_aas_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with only Azure App Services over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_only_vsphere_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with only vSphere over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_opentelemetry_apm_sum

\n
\n

int64

\n

Shows the sum of all ephemeral APM hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_opentelemetry_sum

\n
\n

int64

\n

Shows the sum of all ephemeral hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_pro_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Pro over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_proplus_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Pro Plus over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_proxmox_sum

\n
\n

int64

\n

Sum of all ephemeral infrastructure hosts for Proxmox over all hours in the current date for the given organization.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_apm_error_events_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking APM error events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_error_events_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking error events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_events_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_rum_error_events_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking RUM error events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_correlated_events_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlated events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_correlated_related_events_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlated related events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlations over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

fargate_container_profiler_profiling_fargate_avg

\n
\n

int64

\n

The average number of Profiling Fargate tasks over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

fargate_container_profiler_profiling_fargate_eks_avg

\n
\n

int64

\n

The average number of Profiling Fargate Elastic Kubernetes Service tasks over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

fargate_tasks_count_avg

\n
\n

int64

\n

The average task count for Fargate.

\n
\n \n
\n
\n
\n
\n
\n

fargate_tasks_count_hwm

\n
\n

int64

\n

Shows the high-water mark of all Fargate tasks over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

feature_flags_config_requests_sum

\n
\n

int64

\n

Shows the sum of all Feature Flags Client-Side SDK config requests over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_large_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Large Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_medium_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Medium Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_small_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Small Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_xlarge_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Extra Large Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_xsmall_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Extra Small Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_storage_index_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Storage Index Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_storage_retention_adjustment_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Storage Retention Adjustment Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_stored_logs_avg

\n
\n

int64

\n

Shows the average of all Flex Stored Logs over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

forwarding_events_bytes_sum

\n
\n

int64

\n

Shows the sum of all log bytes forwarded over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

gcp_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all GCP hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

heroku_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Heroku dynos over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

The organization id.

\n
\n \n
\n
\n
\n
\n
\n

incident_management_monthly_active_users_hwm

\n
\n

int64

\n

Shows the high-water mark of incident management monthly active users over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

incident_management_seats_hwm

\n
\n

int64

\n

Shows the high-water mark of Incident Management seats over all hours on the current date for the given organization.

\n
\n \n
\n
\n
\n
\n
\n

indexed_events_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all log events indexed over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

indexed_points_sum

\n
\n

int64

\n

Shows the sum of all indexed custom metrics points over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_avg

\n
\n

int64

\n

Shows the average of all Infrastructure vCPU cores over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_basic_avg

\n
\n

int64

\n

Shows the average of all default basic Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_basic_sum

\n
\n

int64

\n

Shows the sum of all default basic Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_aws_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on AWS over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_aws_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on AWS over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_azure_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on Azure over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_azure_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on Azure over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_gcp_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on GCP over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_gcp_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on GCP over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on Nutanix over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_basic_avg

\n
\n

int64

\n

Shows the average of all default basic Infrastructure host vCPU cores on Nutanix over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_basic_sum

\n
\n

int64

\n

Shows the sum of all default basic Infrastructure host vCPU cores on Nutanix over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on Nutanix over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_opentelemetry_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_opentelemetry_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_agent_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_agent_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_aws_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on AWS over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_aws_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on AWS over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_azure_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on Azure over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_azure_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on Azure over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_gcp_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on GCP over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_gcp_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on GCP over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_nutanix_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on Nutanix over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_nutanix_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on Nutanix over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_opentelemetry_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_opentelemetry_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_sum

\n
\n

int64

\n

Shows the sum of all Infrastructure vCPU cores over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_edge_monitoring_devices_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Edge Devices Monitoring devices over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_infra_basic_agent_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier with the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_infra_basic_vsphere_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier on vSphere over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_storage_mgmt_objects_count_avg

\n
\n

int64

\n

Shows the average number of storage management objects over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ingest_points_sum

\n
\n

int64

\n

Shows the sum of all ingested custom metrics points over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ingested_events_bytes_sum

\n
\n

int64

\n

Shows the sum of all log bytes ingested over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

iot_apm_host_sum

\n
\n

int64

\n

Shows the sum of all Application Performance Monitoring IoT hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

iot_apm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Application Performance Monitoring IoT hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

iot_device_agg_sum

\n
\n

int64

\n

Shows the sum of all IoT devices over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

iot_device_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all IoT devices over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_15day_retention_spans_sum

\n
\n

int64

\n

Shows the sum of all LLM Observability 15-day retention spans over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_30day_retention_spans_sum

\n
\n

int64

\n

Shows the sum of all LLM Observability 30-day retention spans over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_60day_retention_spans_sum

\n
\n

int64

\n

Shows the sum of all LLM Observability 60-day retention spans over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_90day_retention_spans_sum

\n
\n

int64

\n

Shows the sum of all LLM Observability 90-day retention spans over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_min_spend_sum

\n
\n

int64

\n

Shows the sum of all LLM Observability minimum spend over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_sum

\n
\n

int64

\n

Shows the sum of all LLM observability sessions over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

logs_archive_search_gb_scanned_sum

\n
\n

int64

\n

Shows the sum of all Logs Archive Search scanned data over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

metric_names_sum

\n
\n

int64

\n

Shows the sum of all custom metric names over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_lite_session_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile lite sessions over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_android_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Android over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_flutter_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Flutter over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_ios_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on iOS over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_reactnative_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on React Native over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_roku_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Roku over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_units_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM units over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

The organization name.

\n
\n \n
\n
\n
\n
\n
\n

ndm_netflow_events_sum

\n
\n

int64

\n

Shows the sum of all Network Device Monitoring NetFlow events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

netflow_indexed_events_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all Network flows indexed over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

network_device_wireless_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Network Device Monitoring wireless devices over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

network_path_sum

\n
\n

int64

\n

Shows the sum of all Network Path scheduled tests over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

npm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct Cloud Network Monitoring hosts (formerly known as Network hosts) over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

observability_pipelines_bytes_processed_sum

\n
\n

int64

\n

Sum of all observability pipelines bytes processed over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

oci_host_sum

\n
\n

int64

\n

Shows the sum of all Oracle Cloud Infrastructure hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

oci_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Oracle Cloud Infrastructure hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

on_call_seat_hwm

\n
\n

int64

\n

Shows the high-water mark of On-Call seats over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

online_archive_events_count_sum

\n
\n

int64

\n

Sum of all online archived events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

opentelemetry_apm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of APM hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

opentelemetry_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

product_analytics_sum

\n
\n

int64

\n

Shows the sum of all product analytics sessions over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

profiling_aas_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all profiled Azure app services over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

profiling_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all profiled hosts over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

proxmox_host_sum

\n
\n

int64

\n

Sum of all Proxmox hosts over all hours in the current date for the given organization.

\n
\n \n
\n
\n
\n
\n
\n

proxmox_host_top99p

\n
\n

int64

\n

99th percentile of all Proxmox hosts over all hours in the current date for the given organization.

\n
\n \n
\n
\n
\n
\n
\n

public_id

\n
\n

string

\n

The organization public id.

\n
\n \n
\n
\n
\n
\n
\n

published_app_hwm

\n
\n

int64

\n

Shows the high-water mark of all published applications over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

region

\n
\n

string

\n

The region of the organization.

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_and_mobile_session_count

\n
\n

int64

\n

Shows the sum of all mobile sessions and all browser lite and legacy sessions over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_legacy_session_count_sum

\n
\n

int64

\n

Shows the sum of all browser RUM legacy sessions over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_lite_session_count_sum

\n
\n

int64

\n

Shows the sum of all browser RUM lite sessions over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_replay_session_count_sum

\n
\n

int64

\n

Shows the sum of all browser RUM Session Replay counts over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_indexed_sessions_sum

\n
\n

int64

\n

Shows the sum of all RUM indexed sessions over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_ingested_sessions_sum

\n
\n

int64

\n

Shows the sum of all RUM ingested sessions over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_lite_session_count_sum

\n
\n

int64

\n

Shows the sum of all RUM lite sessions (browser and mobile) over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_android_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on Android over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_flutter_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on Flutter over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_ios_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on iOS over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_reactnative_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on React Native over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_roku_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on Roku over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_android_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Android over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_flutter_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Flutter over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_ios_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on iOS over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_kotlinmultiplatform_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Kotlin Multiplatform over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_reactnative_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on React Native over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_roku_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Roku over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_unity_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Unity over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_android_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on Android over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_ios_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on iOS over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_kotlinmultiplatform_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on Kotlin Multiplatform over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_reactnative_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on React Native over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_replay_session_count_sum

\n
\n

int64

\n

Shows the sum of all RUM Session Replay counts over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_session_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser RUM lite sessions over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_session_replay_add_on_sum

\n
\n

int64

\n

Shows the sum of all RUM session replay add-on sessions over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_total_session_count_sum

\n
\n

int64

\n

Shows the sum of RUM sessions (browser and mobile) over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_units_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser and mobile RUM units over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

sca_fargate_count_avg

\n
\n

int64

\n

Shows the average of all Software Composition Analysis Fargate tasks over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

sca_fargate_count_hwm

\n
\n

int64

\n

Shows the sum of the high-water marks of all Software Composition Analysis Fargate tasks over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

sds_apm_scanned_bytes_sum

\n
\n

int64

\n

Sum of all APM bytes scanned with sensitive data scanner over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

sds_events_scanned_bytes_sum

\n
\n

int64

\n

Sum of all event stream events bytes scanned with sensitive data scanner over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

sds_logs_scanned_bytes_sum

\n
\n

int64

\n

Shows the sum of all bytes scanned of logs usage by the Sensitive Data Scanner over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

sds_rum_scanned_bytes_sum

\n
\n

int64

\n

Sum of all RUM bytes scanned with sensitive data scanner over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

sds_total_scanned_bytes_sum

\n
\n

int64

\n

Shows the sum of all bytes scanned across all usage types by the Sensitive Data Scanner over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_appservice_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Azure App Service instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_azurefunction_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Azure Function instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_containerapp_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Azure Container App instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_fargate_ecs_tasks_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Fargate Elastic Container Service tasks for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_cloudfunction_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Google Cloud Platform Cloud Function instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_cloudrun_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Google Cloud Platform Cloud Run instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_gke_autopilot_pods_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Google Kubernetes Engine Autopilot pods for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_appservice_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure App Service instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_azurefunction_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure Function instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_containerapp_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure Container App instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_cloudfunction_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Cloud Platform Cloud Function instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_cloudrun_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Cloud Platform Cloud Run instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_gke_autopilot_pods_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Kubernetes Engine Autopilot pods for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_container_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure Container App instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_count_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_function_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure Function App instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_web_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure Web App instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_dsm_fargate_tasks_avg

\n
\n

int64

\n

Shows the average number of DSM Fargate ECS tasks monitored under Serverless Apps DSM for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_ecs_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Elastic Container Service for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_eks_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Elastic Kubernetes Service for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_container_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Azure Container App instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_function_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Azure Function App instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_web_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Azure Web App instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_google_cloud_functions_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Google Cloud Platform Cloud Functions instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_google_cloud_run_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Google Cloud Platform Cloud Run instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_infra_gcp_gke_autopilot_pods_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Google Kubernetes Engine Autopilot pods for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_cloud_functions_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Google Cloud Platform Cloud Functions instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_cloud_run_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Google Cloud Platform Cloud Run instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_count_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Google Cloud for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_infra_gcp_gke_autopilot_pods_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Google Kubernetes Engine Autopilot pods for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_total_count_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure and Google Cloud for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

siem_12mo_retention_sum

\n
\n

int64

\n

Shows the sum of Cloud SIEM Indexed Logs (12-month retention) over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

siem_6mo_retention_sum

\n
\n

int64

\n

Shows the sum of Cloud SIEM Indexed Logs (6-month retention) over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

siem_analyzed_logs_add_on_count_sum

\n
\n

int64

\n

Shows the sum of all log events analyzed by Cloud SIEM over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

snmp_device_count_sum

\n
\n

int64

\n

Shows the sum of all Network Device Monitoring devices over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

snmp_device_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Network Device Monitoring devices over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_browser_check_calls_count_sum

\n
\n

int64

\n

Shows the sum of all Synthetic browser tests over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_check_calls_count_sum

\n
\n

int64

\n

Shows the sum of all Synthetic API tests over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_mobile_test_runs_sum

\n
\n

int64

\n

Shows the sum of all Synthetic mobile application tests over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_parallel_testing_max_slots_hwm

\n
\n

int64

\n

Shows the high-water mark of used synthetics parallel testing slots over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

trace_search_indexed_events_count_sum

\n
\n

int64

\n

Shows the sum of all Indexed Spans indexed over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

twol_ingested_events_bytes_sum

\n
\n

int64

\n

Shows the sum of all ingested APM span bytes over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

universal_service_monitoring_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Universal Service Monitoring hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

vsphere_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all vSphere hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

vuln_management_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Application Vulnerability Management hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

workflow_executions_usage_sum

\n
\n

int64

\n

Sum of all workflows executed over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

product_analytics_sum

\n
\n

int64

\n

Sum of all product analytics sessions over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

profiling_aas_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all profiled Azure app services over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

profiling_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all profiled hosts over all hours within the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

proxmox_host_sum

\n
\n

int64

\n

Sum of all Proxmox hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

proxmox_host_top99p

\n
\n

int64

\n

99th percentile of all Proxmox hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

published_app_hwm

\n
\n

int64

\n

Shows the high-water mark of all published applications over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_and_mobile_session_count

\n
\n

int64

\n

Shows the sum of all mobile sessions and all browser lite and legacy sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_legacy_session_count_sum

\n
\n

int64

\n

Shows the sum of all browser RUM legacy sessions over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_lite_session_count_sum

\n
\n

int64

\n

Shows the sum of all browser RUM lite sessions over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_replay_session_count_sum

\n
\n

int64

\n

Shows the sum of all browser RUM Session Replay counts over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_indexed_sessions_sum

\n
\n

int64

\n

Sum of all RUM indexed sessions over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_ingested_sessions_sum

\n
\n

int64

\n

Sum of all RUM ingested sessions over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_lite_session_count_sum

\n
\n

int64

\n

Shows the sum of all RUM lite sessions (browser and mobile) over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_android_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on Android over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_flutter_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy Sessions on Flutter over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_ios_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on iOS over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_reactnative_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on React Native over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_roku_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on Roku over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_android_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Android over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_flutter_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Flutter over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_ios_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on iOS over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_kotlinmultiplatform_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Kotlin Multiplatform over all hours within the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_reactnative_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on React Native over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_roku_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Roku over all hours within the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_unity_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Unity over all hours within the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_android_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on Android over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_ios_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on iOS over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_kotlinmultiplatform_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on Kotlin Multiplatform over all hours within the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_reactnative_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on React Native over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_replay_session_count_sum

\n
\n

int64

\n

Shows the sum of all RUM Session Replay counts over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_session_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser RUM lite sessions over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_session_replay_add_on_sum

\n
\n

int64

\n

Sum of all RUM session replay add-on sessions over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_total_session_count_sum

\n
\n

int64

\n

Shows the sum of RUM sessions (browser and mobile) over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_units_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser and mobile RUM units over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

sca_fargate_count_avg

\n
\n

int64

\n

Shows the average of all Software Composition Analysis Fargate tasks over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

sca_fargate_count_hwm

\n
\n

int64

\n

Shows the sum of the high-water marks of all Software Composition Analysis Fargate tasks over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

sds_apm_scanned_bytes_sum

\n
\n

int64

\n

Sum of all APM bytes scanned with sensitive data scanner over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_events_scanned_bytes_sum

\n
\n

int64

\n

Sum of all event stream events bytes scanned with sensitive data scanner over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_logs_scanned_bytes_sum

\n
\n

int64

\n

Shows the sum of all bytes scanned of logs usage by the Sensitive Data Scanner over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_rum_scanned_bytes_sum

\n
\n

int64

\n

Sum of all RUM bytes scanned with sensitive data scanner over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_total_scanned_bytes_sum

\n
\n

int64

\n

Shows the sum of all bytes scanned across all usage types by the Sensitive Data Scanner over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_appservice_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Azure App Service instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_azurefunction_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Azure Function instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_containerapp_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Azure Container App instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_fargate_ecs_tasks_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Fargate Elastic Container Service tasks for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_cloudfunction_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Google Cloud Platform Cloud Function instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_cloudrun_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Google Cloud Platform Cloud Run instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_gke_autopilot_pods_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Google Kubernetes Engine Autopilot pods for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_appservice_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure App Service instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_azurefunction_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure Function instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_containerapp_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure Container App instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_cloudfunction_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Cloud Platform Cloud Function instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_cloudrun_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Cloud Platform Cloud Run instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_gke_autopilot_pods_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Kubernetes Engine Autopilot pods for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_container_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure Container App instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_count_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_function_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure Function App instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_web_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure Web App instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_dsm_fargate_tasks_avg

\n
\n

int64

\n

Shows the average number of DSM Fargate ECS tasks monitored under Serverless Apps DSM for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_ecs_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Elastic Container Service for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_eks_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Elastic Kubernetes Service for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_container_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Azure Container App instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_function_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Azure Function App instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_web_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Azure Web App instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_google_cloud_functions_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Google Cloud Platform Cloud Functions instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_google_cloud_run_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Google Cloud Platform Cloud Run instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_infra_gcp_gke_autopilot_pods_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Google Kubernetes Engine Autopilot pods for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_cloud_functions_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Google Cloud Platform Cloud Functions instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_cloud_run_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Google Cloud Platform Cloud Run instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_count_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Google Cloud for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_infra_gcp_gke_autopilot_pods_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Google Kubernetes Engine Autopilot pods for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_total_count_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure and Google Cloud for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

siem_12mo_retention_sum

\n
\n

int64

\n

Shows the sum of Cloud SIEM Indexed Logs (12-month retention) over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

siem_6mo_retention_sum

\n
\n

int64

\n

Shows the sum of Cloud SIEM Indexed Logs (6-month retention) over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

siem_analyzed_logs_add_on_count_sum

\n
\n

int64

\n

Shows the sum of all log events analyzed by Cloud SIEM over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

snmp_device_count_sum

\n
\n

int64

\n

Shows the sum of all Network Device Monitoring devices over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

snmp_device_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Network Device Monitoring devices over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_browser_check_calls_count_sum

\n
\n

int64

\n

Shows the sum of all Synthetic browser tests over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_check_calls_count_sum

\n
\n

int64

\n

Shows the sum of all Synthetic API tests over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_mobile_test_runs_sum

\n
\n

int64

\n

Shows the sum of all Synthetic mobile application tests over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_parallel_testing_max_slots_hwm

\n
\n

int64

\n

Shows the high-water mark of used synthetics parallel testing slots over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

trace_search_indexed_events_count_sum

\n
\n

int64

\n

Shows the sum of all Indexed Spans indexed over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

twol_ingested_events_bytes_sum

\n
\n

int64

\n

Shows the sum of all ingested APM span bytes over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

universal_service_monitoring_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all universal service management hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

vsphere_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all vSphere hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

vuln_management_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Application Vulnerability Management hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

workflow_executions_usage_sum

\n
\n

int64

\n

Sum of all workflows executed over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

vsphere_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all vSphere hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

vuln_management_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Application Vulnerability Management hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

workflow_executions_usage_agg_sum

\n
\n

int64

\n

Sum of all workflows executed over all hours in the current month for all organizations.

\n
\n \n
\n
" + "html": "
\n
\n
\n
\n

agent_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all agent hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_agent_builder_ai_credits_agg_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Agent Builder over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_agg_sum

\n
\n

int64

\n

Shows the sum of all AI credits over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_assistant_ai_credits_agg_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI Assistant over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_dev_ai_credits_agg_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI Dev over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_sre_ai_credits_agg_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI SRE over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_azure_app_service_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Azure app services using APM over all hours in the current month all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_devsecops_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all APM DevSecOps hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_enterprise_standalone_hosts_top99p_sum

\n
\n

int64

\n

Shows the sum of the 99th percentile of all distinct standalone Enterprise hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_fargate_count_avg_sum

\n
\n

int64

\n

Shows the average of all APM ECS Fargate tasks over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all distinct APM hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_pro_standalone_hosts_top99p_sum

\n
\n

int64

\n

Shows the sum of the 99th percentile of all distinct standalone Pro hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

appsec_fargate_count_avg_sum

\n
\n

int64

\n

Shows the average of all Application Security Monitoring ECS Fargate tasks over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

asm_serverless_agg_sum

\n
\n

int64

\n

Shows the sum of all Application Security Monitoring Serverless invocations over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

audit_logs_lines_indexed_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all audit logs lines indexed over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

audit_trail_enabled_hwm_sum

\n
\n

int64

\n

Shows the total number of organizations that had Audit Trail enabled over a specific number of months.

\n
\n \n
\n
\n
\n
\n
\n

audit_trail_event_forwarding_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Audit Trail event forwarding events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

avg_profiled_fargate_tasks_sum

\n
\n

int64

\n

The average total count for Fargate Container Profiler over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

aws_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all AWS hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

aws_lambda_func_count

\n
\n

int64

\n

Shows the average of the number of functions that executed 1 or more times each hour in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

aws_lambda_invocations_sum

\n
\n

int64

\n

Shows the sum of all AWS Lambda invocations over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

azure_app_service_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Azure app services over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

azure_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Azure hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

billable_ingested_bytes_agg_sum

\n
\n

int64

\n

Shows the sum of all log bytes ingested over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

bits_ai_investigations_agg_sum

\n
\n

int64

\n

Shows the sum of all Bits AI Investigations over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_lite_session_count_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser lite sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_replay_session_count_agg_sum

\n
\n

int64

\n

Shows the sum of all browser replay sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_units_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser RUM units over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

ccm_anthropic_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of Anthropic cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_aws_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of AWS cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_azure_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of Azure cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_confluent_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of Confluent cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_databricks_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of Databricks cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_elastic_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of Elastic cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_fastly_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of Fastly cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_gcp_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of GCP cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_github_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of GitHub cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_mongodb_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of MongoDB cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_oci_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of OCI cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_openai_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of OpenAI cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_snowflake_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of Snowflake cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_spend_monitored_ent_last_sum

\n
\n

int64

\n

Shows the sum of the last value of the amount of cloud spend monitored for Enterprise in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_spend_monitored_pro_last_sum

\n
\n

int64

\n

Shows the sum of the last value of the amount of cloud spend monitored for Pro in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_twilio_spend_last_sum

\n
\n

int64

\n

Shows the sum of the last value of Twilio cloud spend monitored in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_pipeline_indexed_spans_agg_sum

\n
\n

int64

\n

Shows the sum of all CI pipeline indexed spans over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_test_indexed_spans_agg_sum

\n
\n

int64

\n

Shows the sum of all CI test indexed spans over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_itr_committers_hwm_sum

\n
\n

int64

\n

Shows the high-water mark of all CI visibility intelligent test runner committers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_pipeline_committers_hwm_sum

\n
\n

int64

\n

Shows the high-water mark of all CI visibility pipeline committers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_test_committers_hwm_sum

\n
\n

int64

\n

Shows the high-water mark of all CI visibility test committers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_aws_host_count_avg_sum

\n
\n

int64

\n

Sum of the host count average for Cloud Cost Management for AWS.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_azure_host_count_avg_sum

\n
\n

int64

\n

Sum of the host count average for Cloud Cost Management for Azure.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_gcp_host_count_avg_sum

\n
\n

int64

\n

Sum of the host count average for Cloud Cost Management for GCP.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_host_count_avg_sum

\n
\n

int64

\n

Sum of the host count average for Cloud Cost Management for all cloud providers.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_oci_host_count_avg_sum

\n
\n

int64

\n

Sum of the average host counts for Cloud Cost Management on OCI.

\n
\n \n
\n
\n
\n
\n
\n

cloud_siem_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Information and Event Management events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cloud_siem_indexed_logs_agg_sum

\n
\n

int64

\n

Shows the sum of all Cloud SIEM Indexed Logs over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

code_analysis_sa_committers_hwm_sum

\n
\n

int64

\n

Shows the high-water mark of all Static Analysis committers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

code_analysis_sca_committers_hwm_sum

\n
\n

int64

\n

Shows the high-water mark of all static Software Composition Analysis committers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

code_security_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Code Security hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

container_avg_sum

\n
\n

int64

\n

Shows the average of all distinct containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

container_excl_agent_avg_sum

\n
\n

int64

\n

Shows the average of the containers without the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

container_hwm_sum

\n
\n

int64

\n

Shows the sum of the high-water marks of all distinct containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_compliance_count_agg_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise compliance containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_cws_count_agg_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise Cloud Workload Security containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_total_count_agg_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_aas_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Azure app services hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_aws_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise AWS hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_azure_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Azure hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_compliance_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise compliance hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_cws_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Cloud Workload Security hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_gcp_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise GCP hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_oci_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise OCI hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_total_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_hosts_agentless_scanners_agg_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_hosts_agentless_scanners_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_oci_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro OCI hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_aas_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Azure app services hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_aws_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro AWS hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_azure_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Azure hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_container_avg_sum

\n
\n

int64

\n

Shows the average number of Cloud Security Management Pro containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_container_hwm_sum

\n
\n

int64

\n

Shows the sum of the high-water marks of Cloud Security Management Pro containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_gcp_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro GCP hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_hosts_agentless_scanners_agg_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_hosts_agentless_scanners_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

custom_historical_ts_sum

\n
\n

int64

\n

Shows the average number of distinct historical custom metrics over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

custom_live_ts_sum

\n
\n

int64

\n

Shows the average number of distinct live custom metrics over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

custom_ts_sum

\n
\n

int64

\n

Shows the average number of distinct custom metrics over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cws_container_avg_sum

\n
\n

int64

\n

Shows the average of all distinct Cloud Workload Security containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cws_fargate_task_avg_sum

\n
\n

int64

\n

Shows the average of all distinct Cloud Workload Security Fargate tasks over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cws_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Workload Security hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

data_jobs_monitoring_host_hr_agg_sum

\n
\n

int64

\n

Shows the sum of Data Jobs Monitoring hosts over all hours in the current months for all organizations

\n
\n \n
\n
\n
\n
\n
\n

data_stream_monitoring_host_count_agg_sum

\n
\n

int64

\n

Shows the sum of all Data Streams Monitoring hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

data_stream_monitoring_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Data Streams Monitoring hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

dbm_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Database Monitoring hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

dbm_queries_avg_sum

\n
\n

int64

\n

Shows the average of all distinct Database Monitoring Normalized Queries over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

do_jobs_monitoring_orchestrators_job_hours_agg_sum

\n
\n

int64

\n

Shows the sum of all orchestrator job hours over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

end_date

\n
\n

date-time

\n

Shows the last date of usage in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_agent_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_alibaba_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Alibaba over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_aws_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on AWS over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_azure_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Azure over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_infra_basic_agent_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier with the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_infra_basic_vsphere_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier on vSphere over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_ent_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Enterprise over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_gcp_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on GCP over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_heroku_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Heroku over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_only_aas_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with only Azure App Services over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_only_vsphere_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with only vSphere over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_opentelemetry_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_opentelemetry_apm_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral APM hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_pro_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Pro over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_proplus_agg_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Pro Plus over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_proxmox_agg_sum

\n
\n

int64

\n

Sum of all ephemeral infrastructure hosts for Proxmox over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_apm_error_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking APM error events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_error_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking error events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking events over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_rum_error_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking RUM error events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_agg_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlations over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_correlated_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlated events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_correlated_related_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlated related events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

fargate_container_profiler_profiling_fargate_avg_sum

\n
\n

int64

\n

The average number of Profiling Fargate tasks over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

fargate_container_profiler_profiling_fargate_eks_avg_sum

\n
\n

int64

\n

The average number of Profiling Fargate Elastic Kubernetes Service tasks over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

fargate_tasks_count_avg_sum

\n
\n

int64

\n

Shows the average of all Fargate tasks over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

fargate_tasks_count_hwm_sum

\n
\n

int64

\n

Shows the sum of the high-water marks of all Fargate tasks over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

feature_flags_config_requests_agg_sum

\n
\n

int64

\n

Shows the sum of all Feature Flags Client-Side SDK config requests over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_large_avg_sum

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Large Instances over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_medium_avg_sum

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Medium Instances over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_small_avg_sum

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Small Instances over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_xlarge_avg_sum

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Extra Large Instances over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_xsmall_avg_sum

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Extra Small Instances over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_avg_sum

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Instances over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_storage_index_avg_sum

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Storage Index Instances over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_storage_retention_adjustment_avg_sum

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Storage Retention Adjustment Instances over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_stored_logs_avg_sum

\n
\n

int64

\n

Shows the average of all Flex Stored Logs over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

forwarding_events_bytes_agg_sum

\n
\n

int64

\n

Shows the sum of all logs forwarding bytes over all hours in the current month for all organizations (data available as of April 1, 2023)

\n
\n \n
\n
\n
\n
\n
\n

gcp_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all GCP hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

heroku_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Heroku dynos over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

incident_management_monthly_active_users_hwm_sum

\n
\n

int64

\n

Shows sum of the high-water marks of incident management monthly active users in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

incident_management_seats_hwm_sum

\n
\n

int64

\n

Shows the sum of the high-water marks of Incident Management seats over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

indexed_events_count_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all log events indexed over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

indexed_points_agg_sum

\n
\n

int64

\n

Shows the sum of all indexed custom metrics points over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_agg_sum

\n
\n

int64

\n

Shows the sum of all Infrastructure vCPU cores over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_avg_sum

\n
\n

int64

\n

Shows the average of all Infrastructure vCPU cores over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_agg_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_avg_sum

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_basic_agg_sum

\n
\n

int64

\n

Shows the sum of all default basic Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_basic_avg_sum

\n
\n

int64

\n

Shows the average of all default basic Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_aws_agg_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on AWS over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_aws_avg_sum

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on AWS over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_azure_agg_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on Azure over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_azure_avg_sum

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on Azure over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_gcp_agg_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on GCP over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_gcp_avg_sum

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on GCP over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_agg_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on Nutanix over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_avg_sum

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on Nutanix over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_basic_agg_sum

\n
\n

int64

\n

Shows the sum of all default basic Infrastructure host vCPU cores on Nutanix over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_basic_avg_sum

\n
\n

int64

\n

Shows the average of all default basic Infrastructure host vCPU cores on Nutanix over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_opentelemetry_agg_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_opentelemetry_avg_sum

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_agent_agg_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_agent_avg_sum

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_aws_agg_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on AWS over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_aws_avg_sum

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on AWS over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_azure_agg_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on Azure over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_azure_avg_sum

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on Azure over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_gcp_agg_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on GCP over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_gcp_avg_sum

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on GCP over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_nutanix_agg_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on Nutanix over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_nutanix_avg_sum

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on Nutanix over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_opentelemetry_agg_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_opentelemetry_avg_sum

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_edge_monitoring_devices_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Edge Devices Monitoring devices over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_infra_basic_agent_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier with the Datadog Agent over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_infra_basic_vsphere_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier on vSphere over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_storage_mgmt_objects_count_avg_sum

\n
\n

int64

\n

Shows the average number of storage management objects over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ingest_points_agg_sum

\n
\n

int64

\n

Shows the sum of all ingested custom metrics points over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ingested_events_bytes_agg_sum

\n
\n

int64

\n

Shows the sum of all log bytes ingested over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

iot_apm_host_agg_sum

\n
\n

int64

\n

Shows the sum of all Application Performance Monitoring IoT hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

iot_apm_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Application Performance Monitoring IoT hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

iot_device_agg_sum

\n
\n

int64

\n

Shows the sum of all IoT devices over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

iot_device_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all IoT devices over all hours in the current month of all organizations.

\n
\n \n
\n
\n
\n
\n
\n

last_updated

\n
\n

date-time

\n

Shows the most recent hour in the current month for all organizations for which all usages were calculated.

\n
\n \n
\n
\n
\n
\n
\n

live_indexed_events_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all live logs indexed over all hours in the current month for all organization (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

live_ingested_bytes_agg_sum

\n
\n

int64

\n

Shows the sum of all live logs bytes ingested over all hours in the current month for all organizations (data available as of December 1, 2020).

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_15day_retention_spans_agg_sum

\n
\n

int64

\n

Shows the sum of all Agent Observability 15-day retention spans over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_30day_retention_spans_agg_sum

\n
\n

int64

\n

Shows the sum of all Agent Observability 30-day retention spans over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_60day_retention_spans_agg_sum

\n
\n

int64

\n

Shows the sum of all Agent Observability 60-day retention spans over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_90day_retention_spans_agg_sum

\n
\n

int64

\n

Shows the sum of all Agent Observability 90-day retention spans over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_agg_sum

\n
\n

int64

\n

Sum of all Agent observability sessions for all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_min_spend_agg_sum

\n
\n

int64

\n

Minimum spend for Agent observability sessions for all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

logs_archive_search_gb_scanned_agg_sum

\n
\n

int64

\n

Shows the sum of all Logs Archive Search scanned data over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

logs_by_retention

\n
\n

object

\n

Object containing logs usage data broken down by retention period.

\n
\n
\n
\n
\n
\n

orgs

\n
\n

object

\n

Indexed logs usage summary for each organization for each retention period with usage.

\n
\n
\n
\n
\n
\n

usage

\n
\n

[object]

\n

Indexed logs usage summary for each organization.

\n
\n
\n
\n
\n
\n

usage

\n
\n

[object]

\n

Indexed logs usage for each active retention for the organization.

\n
\n
\n
\n
\n
\n

logs_indexed_logs_usage_sum

\n
\n

int64

\n

Total indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

logs_live_indexed_logs_usage_sum

\n
\n

int64

\n

Live indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

logs_rehydrated_indexed_logs_usage_sum

\n
\n

int64

\n

Rehydrated indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

retention

\n
\n

string

\n

The retention period in days or "custom" for all custom retention periods.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

usage

\n
\n

[object]

\n

Aggregated index logs usage for each retention period with usage.

\n
\n
\n
\n
\n
\n

logs_indexed_logs_usage_agg_sum

\n
\n

int64

\n

Total indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

logs_live_indexed_logs_usage_agg_sum

\n
\n

int64

\n

Live indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

logs_rehydrated_indexed_logs_usage_agg_sum

\n
\n

int64

\n

Rehydrated indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

retention

\n
\n

string

\n

The retention period in days or "custom" for all custom retention periods.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

usage_by_month

\n
\n

object

\n

Object containing a summary of indexed logs usage by retention period for a single month.

\n
\n
\n
\n
\n
\n

date

\n
\n

date-time

\n

The month for the usage.

\n
\n \n
\n
\n
\n
\n
\n

usage

\n
\n

[object]

\n

Indexed logs usage for each active retention for the month.

\n
\n
\n
\n
\n
\n

logs_indexed_logs_usage_sum

\n
\n

int64

\n

Total indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

logs_live_indexed_logs_usage_sum

\n
\n

int64

\n

Live indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

logs_rehydrated_indexed_logs_usage_sum

\n
\n

int64

\n

Rehydrated indexed logs for this retention period.

\n
\n \n
\n
\n
\n
\n
\n

retention

\n
\n

string

\n

The retention period in days or "custom" for all custom retention periods.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

metric_names_agg_sum

\n
\n

int64

\n

Shows the sum of all custom metric names over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_lite_session_count_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile lite sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_android_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Android over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_flutter_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Flutter over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_ios_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on iOS over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_reactnative_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on React Native over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_roku_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Roku over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_units_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM units over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

ndm_netflow_events_agg_sum

\n
\n

int64

\n

Shows the sum of all Network Device Monitoring NetFlow events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

netflow_indexed_events_count_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all Network flows indexed over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

network_device_wireless_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Network Device Monitoring wireless devices over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

network_path_agg_sum

\n
\n

int64

\n

Shows the sum of all Network Path scheduled tests over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

npm_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all distinct Cloud Network Monitoring hosts (formerly known as Network hosts) over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

observability_pipelines_bytes_processed_agg_sum

\n
\n

int64

\n

Sum of all observability pipelines bytes processed over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

oci_host_agg_sum

\n
\n

int64

\n

Shows the sum of Oracle Cloud Infrastructure hosts over all hours in the current months for all organizations

\n
\n \n
\n
\n
\n
\n
\n

oci_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of Oracle Cloud Infrastructure hosts over all hours in the current months for all organizations

\n
\n \n
\n
\n
\n
\n
\n

on_call_seat_hwm_sum

\n
\n

int64

\n

Shows the sum of the high-water marks of On-Call seats over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

online_archive_events_count_agg_sum

\n
\n

int64

\n

Sum of all online archived events over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

opentelemetry_apm_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of APM hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

opentelemetry_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

product_analytics_agg_sum

\n
\n

int64

\n

Sum of all product analytics sessions for all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

profiling_aas_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all profiled Azure app services over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

profiling_container_agent_count_avg

\n
\n

int64

\n

Shows the average number of profiled containers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

profiling_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all profiled hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

proxmox_host_agg_sum

\n
\n

int64

\n

Sum of all Proxmox hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

proxmox_host_top99p_sum

\n
\n

int64

\n

Sum of the 99th percentile of all Proxmox hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

published_app_hwm_sum

\n
\n

int64

\n

Shows the high-water mark of all published applications over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rehydrated_indexed_events_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all rehydrated logs indexed over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rehydrated_ingested_bytes_agg_sum

\n
\n

int64

\n

Shows the sum of all rehydrated logs bytes ingested over all hours in the current month for all organizations (data available as of December 1, 2020).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_and_mobile_session_count

\n
\n

int64

\n

Shows the sum of all mobile sessions and all browser lite and legacy sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_legacy_session_count_agg_sum

\n
\n

int64

\n

Shows the sum of all browser RUM legacy sessions over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_lite_session_count_agg_sum

\n
\n

int64

\n

Shows the sum of all browser RUM lite sessions over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_replay_session_count_agg_sum

\n
\n

int64

\n

Shows the sum of all browser RUM Session Replay counts over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_indexed_sessions_agg_sum

\n
\n

int64

\n

Sum of all RUM indexed sessions for all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_ingested_sessions_agg_sum

\n
\n

int64

\n

Sum of all RUM ingested sessions for all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_lite_session_count_agg_sum

\n
\n

int64

\n

Shows the sum of all RUM lite sessions (browser and mobile) over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_android_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on Android over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_flutter_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on Flutter over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_ios_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on iOS over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_reactnative_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on React Native over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_roku_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on Roku over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_android_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Android over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_flutter_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Flutter over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_ios_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on iOS over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_kotlinmultiplatform_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Kotlin Multiplatform over all hours within the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_reactnative_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on React Native over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_roku_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Roku over all hours within the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_unity_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Unity over all hours within the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_android_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on Android over all hours within the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_ios_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on iOS over all hours within the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_kotlinmultiplatform_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on Kotlin Multiplatform over all hours within the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_reactnative_agg_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on React Native over all hours within the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_replay_session_count_agg_sum

\n
\n

int64

\n

Shows the sum of all RUM Session Replay counts over all hours in the current month for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_session_count_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser RUM lite sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_session_replay_add_on_agg_sum

\n
\n

int64

\n

Sum of all RUM session replay add-on sessions for all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_total_session_count_agg_sum

\n
\n

int64

\n

Shows the sum of RUM sessions (browser and mobile) over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_units_agg_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser and mobile RUM units over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

sca_fargate_count_avg_sum

\n
\n

int64

\n

Shows the average of all Software Composition Analysis Fargate tasks over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sca_fargate_count_hwm_sum

\n
\n

int64

\n

Shows the sum of the high-water marks of all Software Composition Analysis Fargate tasks over all hours in the current months for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_apm_scanned_bytes_sum

\n
\n

int64

\n

Sum of all APM bytes scanned with sensitive data scanner in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_events_scanned_bytes_sum

\n
\n

int64

\n

Sum of all event stream events bytes scanned with sensitive data scanner in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_logs_scanned_bytes_sum

\n
\n

int64

\n

Shows the sum of all bytes scanned of logs usage by the Sensitive Data Scanner over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_rum_scanned_bytes_sum

\n
\n

int64

\n

Sum of all RUM bytes scanned with sensitive data scanner in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_total_scanned_bytes_sum

\n
\n

int64

\n

Shows the sum of all bytes scanned across all usage types by the Sensitive Data Scanner over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_appservice_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring for Azure App Service instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_azurefunction_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring for Azure Function instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_containerapp_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring for Azure Container App instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_fargate_ecs_tasks_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring for Fargate Elastic Container Service tasks in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_cloudfunction_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring for Google Cloud Platform Cloud Function instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_cloudrun_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring for Google Cloud Platform Cloud Run instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_gke_autopilot_pods_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring for Google Kubernetes Engine Autopilot pods in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_appservice_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure App Service instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_azurefunction_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure Function instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_containerapp_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure Container App instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_cloudfunction_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Cloud Platform Cloud Function instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_cloudrun_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Cloud Platform Cloud Run instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_gke_autopilot_pods_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Kubernetes Engine Autopilot pods in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps with Application Performance Monitoring excluding Fargate in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_container_app_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Azure Container App instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_count_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Azure in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_function_app_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Azure Function App instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_web_app_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Azure Web App instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_dsm_fargate_tasks_avg_sum

\n
\n

int64

\n

Sum of the average number of DSM Fargate ECS tasks monitored under Serverless Apps DSM in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_ecs_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Elastic Container Service in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_eks_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Elastic Kubernetes Service in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps excluding Fargate in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_container_app_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps excluding Fargate for Azure Container App instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_function_app_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps excluding Fargate for Azure Function App instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_web_app_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps excluding Fargate for Azure Web App instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_google_cloud_functions_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps excluding Fargate for Google Cloud Platform Cloud Functions instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_google_cloud_run_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps excluding Fargate for Google Cloud Platform Cloud Run instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_infra_gcp_gke_autopilot_pods_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps excluding Fargate for Google Kubernetes Engine Autopilot pods in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_cloud_functions_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Google Cloud Platform Cloud Functions instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_cloud_run_instances_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Google Cloud Platform Cloud Run instances in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_count_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Google Cloud in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_infra_gcp_gke_autopilot_pods_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Google Kubernetes Engine Autopilot pods in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_total_count_avg_sum

\n
\n

int64

\n

Sum of the average number of Serverless Apps for Azure and Google Cloud in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

siem_12mo_retention_agg_sum

\n
\n

int64

\n

Shows the sum of Cloud SIEM Indexed Logs (12-month retention) over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

siem_6mo_retention_agg_sum

\n
\n

int64

\n

Shows the sum of Cloud SIEM Indexed Logs (6-month retention) over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

siem_analyzed_logs_add_on_count_agg_sum

\n
\n

int64

\n

Shows the sum of all log events analyzed by Cloud SIEM over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

snmp_device_count_agg_sum

\n
\n

int64

\n

Shows the sum of all Network Device Monitoring devices over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

snmp_device_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Network Device Monitoring devices over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

start_date

\n
\n

date-time

\n

Shows the first date of usage in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_browser_check_calls_count_agg_sum

\n
\n

int64

\n

Shows the sum of all Synthetic browser tests over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_check_calls_count_agg_sum

\n
\n

int64

\n

Shows the sum of all Synthetic API tests over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_mobile_test_runs_agg_sum

\n
\n

int64

\n

Shows the sum of Synthetic mobile application tests over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_parallel_testing_max_slots_hwm_sum

\n
\n

int64

\n

Shows the sum of the high-water marks of used synthetics parallel testing slots over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

trace_search_indexed_events_count_agg_sum

\n
\n

int64

\n

Shows the sum of all Indexed Spans indexed over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

twol_ingested_events_bytes_agg_sum

\n
\n

int64

\n

Shows the sum of all ingested APM span bytes over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

universal_service_monitoring_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Universal Service Monitoring hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

usage

\n
\n

[object]

\n

An array of objects regarding hourly usage.

\n
\n
\n
\n
\n
\n

agent_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all agent hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_agent_builder_ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Agent Builder over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_assistant_ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI Assistant over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_dev_ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI Dev over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_sre_ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI SRE over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_azure_app_service_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Azure app services using APM over all hours in the current date all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_devsecops_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all APM DevSecOps hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

apm_enterprise_standalone_hosts_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct standalone Enterprise hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_fargate_count_avg

\n
\n

int64

\n

Shows the average of all APM ECS Fargate tasks over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct APM hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

apm_pro_standalone_hosts_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct standalone Pro hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

appsec_fargate_count_avg

\n
\n

int64

\n

Shows the average of all Application Security Monitoring ECS Fargate tasks over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

asm_serverless_sum

\n
\n

int64

\n

Shows the sum of all Application Security Monitoring Serverless invocations over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

audit_logs_lines_indexed_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of audit logs lines indexed over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

audit_trail_enabled_hwm

\n
\n

int64

\n

Shows the number of organizations that had Audit Trail enabled in the current date.

\n
\n \n
\n
\n
\n
\n
\n

audit_trail_event_forwarding_events_sum

\n
\n

int64

\n

Shows the sum of all Audit Trail event forwarding events over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

avg_profiled_fargate_tasks

\n
\n

int64

\n

The average total count for Fargate Container Profiler over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

aws_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all AWS hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

aws_lambda_func_count

\n
\n

int64

\n

Shows the average of the number of functions that executed 1 or more times each hour in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

aws_lambda_invocations_sum

\n
\n

int64

\n

Shows the sum of all AWS Lambda invocations over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

azure_app_service_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Azure app services over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

billable_ingested_bytes_sum

\n
\n

int64

\n

Shows the sum of all log bytes ingested over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

bits_ai_investigations_sum

\n
\n

int64

\n

Shows the sum of all Bits AI Investigations over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_lite_session_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser lite sessions over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_replay_session_count_sum

\n
\n

int64

\n

Shows the sum of all browser replay sessions over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_units_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser RUM units over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

ccm_anthropic_spend_last

\n
\n

int64

\n

Shows the last value of Anthropic cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_aws_spend_last

\n
\n

int64

\n

Shows the last value of AWS cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_azure_spend_last

\n
\n

int64

\n

Shows the last value of Azure cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_confluent_spend_last

\n
\n

int64

\n

Shows the last value of Confluent cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_databricks_spend_last

\n
\n

int64

\n

Shows the last value of Databricks cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_elastic_spend_last

\n
\n

int64

\n

Shows the last value of Elastic cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_fastly_spend_last

\n
\n

int64

\n

Shows the last value of Fastly cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_gcp_spend_last

\n
\n

int64

\n

Shows the last value of GCP cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_github_spend_last

\n
\n

int64

\n

Shows the last value of GitHub cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_mongodb_spend_last

\n
\n

int64

\n

Shows the last value of MongoDB cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_oci_spend_last

\n
\n

int64

\n

Shows the last value of OCI cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_openai_spend_last

\n
\n

int64

\n

Shows the last value of OpenAI cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_snowflake_spend_last

\n
\n

int64

\n

Shows the last value of Snowflake cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_spend_monitored_ent_last

\n
\n

int64

\n

Shows the last value of the amount of cloud spend monitored for Enterprise over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_spend_monitored_pro_last

\n
\n

int64

\n

Shows the last value of the amount of cloud spend monitored for Pro over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ccm_twilio_spend_last

\n
\n

int64

\n

Shows the last value of Twilio cloud spend monitored over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_pipeline_indexed_spans_sum

\n
\n

int64

\n

Shows the sum of all CI pipeline indexed spans over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_test_indexed_spans_sum

\n
\n

int64

\n

Shows the sum of all CI test indexed spans over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_itr_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all CI visibility intelligent test runner committers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_pipeline_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all CI visibility pipeline committers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_test_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all CI visibility test committers over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_aws_host_count_avg

\n
\n

int64

\n

Host count average of Cloud Cost Management for AWS for the given date and given organization.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_azure_host_count_avg

\n
\n

int64

\n

Host count average of Cloud Cost Management for Azure for the given date and given organization.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_gcp_host_count_avg

\n
\n

int64

\n

Host count average of Cloud Cost Management for GCP for the given date and given organization.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_host_count_avg

\n
\n

int64

\n

Host count average of Cloud Cost Management for all cloud providers for the given date and given organization.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_oci_host_count_avg

\n
\n

int64

\n

Average host count for Cloud Cost Management on OCI for the given date and organization.

\n
\n \n
\n
\n
\n
\n
\n

cloud_siem_events_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Information and Event Management events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cloud_siem_indexed_logs_sum

\n
\n

int64

\n

Shows the sum of all Cloud SIEM Indexed Logs over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

code_analysis_sa_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all Static Analysis committers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

code_analysis_sca_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all static Software Composition Analysis committers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

code_security_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Code Security hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

container_avg

\n
\n

int64

\n

Shows the average of all distinct containers over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

container_excl_agent_avg

\n
\n

int64

\n

Shows the average of containers without the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

container_hwm

\n
\n

int64

\n

Shows the high-water mark of all distinct containers over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_compliance_count_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise compliance containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_cws_count_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise Cloud Workload Security containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_total_count_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_aas_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Azure app services hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_aws_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise AWS hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_azure_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Azure hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_compliance_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise compliance hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_cws_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Cloud Workload Security hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_gcp_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise GCP hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_oci_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise OCI hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_total_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_hosts_agentless_scanners_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_hosts_agentless_scanners_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_oci_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro OCI hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_aas_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Azure app services hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_aws_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro AWS hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_azure_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Azure hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_container_avg

\n
\n

int64

\n

Shows the average number of Cloud Security Management Pro containers over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_container_hwm

\n
\n

int64

\n

Shows the high-water mark of Cloud Security Management Pro containers over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_gcp_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro GCP hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_hosts_agentless_scanners_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cspm_hosts_agentless_scanners_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

custom_ts_avg

\n
\n

int64

\n

Shows the average number of distinct custom metrics over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cws_container_count_avg

\n
\n

int64

\n

Shows the average of all distinct Cloud Workload Security containers over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cws_fargate_task_avg

\n
\n

int64

\n

Shows the average of all distinct Cloud Workload Security Fargate tasks over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

cws_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Workload Security hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

data_jobs_monitoring_host_hr_sum

\n
\n

int64

\n

Shows the sum of all Data Jobs Monitoring hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

data_stream_monitoring_host_count_sum

\n
\n

int64

\n

Shows the sum of all Data Streams Monitoring hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

data_stream_monitoring_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Data Streams Monitoring hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

date

\n
\n

date-time

\n

The date for the usage.

\n
\n \n
\n
\n
\n
\n
\n

dbm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Database Monitoring hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

dbm_queries_count_avg

\n
\n

int64

\n

Shows the average of all normalized Database Monitoring queries over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

do_jobs_monitoring_orchestrators_job_hours_sum

\n
\n

int64

\n

Shows the sum of all orchestrator job hours over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_agent_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_alibaba_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Alibaba over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_aws_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on AWS over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_azure_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Azure over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_infra_basic_agent_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier with the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_infra_basic_vsphere_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier on vSphere over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_ent_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Enterprise over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_gcp_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on GCP over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_heroku_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Heroku over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_only_aas_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with only Azure App Services over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_only_vsphere_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with only vSphere over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_opentelemetry_apm_sum

\n
\n

int64

\n

Shows the sum of all ephemeral APM hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_opentelemetry_sum

\n
\n

int64

\n

Shows the sum of all ephemeral hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_pro_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Pro over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_proplus_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Pro Plus over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_proxmox_sum

\n
\n

int64

\n

Sum of all ephemeral infrastructure hosts for Proxmox over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_apm_error_events_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking APM error events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_error_events_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking error events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_events_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_rum_error_events_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking RUM error events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_correlated_events_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlated events over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_correlated_related_events_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlated related events over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlations over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

fargate_container_profiler_profiling_fargate_avg

\n
\n

int64

\n

The average number of Profiling Fargate tasks over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

fargate_container_profiler_profiling_fargate_eks_avg

\n
\n

int64

\n

The average number of Profiling Fargate Elastic Kubernetes Service tasks over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

fargate_tasks_count_avg

\n
\n

int64

\n

Shows the high-watermark of all Fargate tasks over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

fargate_tasks_count_hwm

\n
\n

int64

\n

Shows the average of all Fargate tasks over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

feature_flags_config_requests_sum

\n
\n

int64

\n

Shows the sum of all Feature Flags Client-Side SDK config requests over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_large_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Large Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_medium_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Medium Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_small_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Small Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_xlarge_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Extra Large Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_xsmall_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Extra Small Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_storage_index_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Storage Index Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_storage_retention_adjustment_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Storage Retention Adjustment Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_stored_logs_avg

\n
\n

int64

\n

Shows the average of all Flex Stored Logs over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

forwarding_events_bytes_sum

\n
\n

int64

\n

Shows the sum of all log bytes forwarded over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

gcp_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all GCP hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

heroku_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Heroku dynos over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

incident_management_monthly_active_users_hwm

\n
\n

int64

\n

Shows the high-water mark of incident management monthly active users over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

incident_management_seats_hwm

\n
\n

int64

\n

Shows the high-water mark of Incident Management seats over all hours on the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

indexed_events_count_sum

\n
\n

int64

\n

Shows the sum of all log events indexed over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

indexed_points_sum

\n
\n

int64

\n

Shows the sum of all indexed custom metrics points over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_avg

\n
\n

int64

\n

Shows the average of all Infrastructure vCPU cores over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_basic_avg

\n
\n

int64

\n

Shows the average of all default basic Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_basic_sum

\n
\n

int64

\n

Shows the sum of all default basic Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_aws_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on AWS over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_aws_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on AWS over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_azure_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on Azure over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_azure_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on Azure over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_gcp_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on GCP over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_gcp_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on GCP over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on Nutanix over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_basic_avg

\n
\n

int64

\n

Shows the average of all default basic Infrastructure host vCPU cores on Nutanix over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_basic_sum

\n
\n

int64

\n

Shows the sum of all default basic Infrastructure host vCPU cores on Nutanix over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on Nutanix over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_opentelemetry_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_opentelemetry_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_agent_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_agent_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_aws_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on AWS over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_aws_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on AWS over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_azure_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on Azure over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_azure_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on Azure over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_gcp_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on GCP over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_gcp_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on GCP over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_nutanix_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on Nutanix over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_nutanix_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on Nutanix over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_opentelemetry_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_opentelemetry_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_sum

\n
\n

int64

\n

Shows the sum of all Infrastructure vCPU cores over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_edge_monitoring_devices_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Edge Devices Monitoring devices over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_infra_basic_agent_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier with the Datadog Agent over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_infra_basic_vsphere_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier on vSphere over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

infra_storage_mgmt_objects_count_avg

\n
\n

int64

\n

Shows the average number of storage management objects over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ingest_points_sum

\n
\n

int64

\n

Shows the sum of all ingested custom metrics points over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

ingested_events_bytes_sum

\n
\n

int64

\n

Shows the sum of all log bytes ingested over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

iot_apm_host_sum

\n
\n

int64

\n

Shows the sum of all Application Performance Monitoring IoT hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

iot_apm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Application Performance Monitoring IoT hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

iot_device_sum

\n
\n

int64

\n

Shows the sum of all IoT devices over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

iot_device_top99p

\n
\n

int64

\n

Shows the 99th percentile of all IoT devices over all hours in the current date all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_15day_retention_spans_sum

\n
\n

int64

\n

Shows the sum of all Agent Observability 15-day retention spans over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_30day_retention_spans_sum

\n
\n

int64

\n

Shows the sum of all Agent Observability 30-day retention spans over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_60day_retention_spans_sum

\n
\n

int64

\n

Shows the sum of all Agent Observability 60-day retention spans over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_90day_retention_spans_sum

\n
\n

int64

\n

Shows the sum of all Agent Observability 90-day retention spans over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_min_spend_sum

\n
\n

int64

\n

Sum of all Agent observability minimum spend over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_sum

\n
\n

int64

\n

Sum of all Agent observability sessions over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

logs_archive_search_gb_scanned_sum

\n
\n

int64

\n

Shows the sum of all Logs Archive Search scanned data over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

metric_names_sum

\n
\n

int64

\n

Shows the sum of all custom metric names over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_lite_session_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile lite sessions over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_android_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Android over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_flutter_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Flutter over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_ios_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on iOS over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_reactnative_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on React Native over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_roku_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Roku over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_units_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM units over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

ndm_netflow_events_sum

\n
\n

int64

\n

Shows the sum of all Network Device Monitoring NetFlow events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

netflow_indexed_events_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all Network flows indexed over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

network_device_wireless_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Network Device Monitoring wireless devices over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

network_path_sum

\n
\n

int64

\n

Shows the sum of all Network Path scheduled tests over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

npm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct Cloud Network Monitoring hosts (formerly known as Network hosts) over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

observability_pipelines_bytes_processed_sum

\n
\n

int64

\n

Sum of all observability pipelines bytes processed over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

oci_host_sum

\n
\n

int64

\n

Shows the sum of all Oracle Cloud Infrastructure hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

oci_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Oracle Cloud Infrastructure hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

on_call_seat_hwm

\n
\n

int64

\n

Shows the high-water mark of On-Call seats over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

online_archive_events_count_sum

\n
\n

int64

\n

Sum of all online archived events over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

opentelemetry_apm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of APM hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

opentelemetry_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

orgs

\n
\n

[object]

\n

Organizations associated with a user.

\n
\n
\n
\n
\n
\n

account_name

\n
\n

string

\n

The account name.

\n
\n \n
\n
\n
\n
\n
\n

account_public_id

\n
\n

string

\n

The account public id.

\n
\n \n
\n
\n
\n
\n
\n

agent_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all agent hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_agent_builder_ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Agent Builder over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_assistant_ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI Assistant over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_dev_ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI Dev over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_bits_sre_ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits used by Bits AI SRE over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ai_credits_sum

\n
\n

int64

\n

Shows the sum of all AI credits over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

apm_azure_app_service_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Azure app services using APM over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

apm_devsecops_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all APM DevSecOps hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

apm_enterprise_standalone_hosts_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct standalone Enterprise hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

apm_fargate_count_avg

\n
\n

int64

\n

Shows the average of all APM ECS Fargate tasks over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

apm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct APM hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

apm_pro_standalone_hosts_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct standalone Pro hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

appsec_fargate_count_avg

\n
\n

int64

\n

Shows the average of all Application Security Monitoring ECS Fargate tasks over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

asm_serverless_sum

\n
\n

int64

\n

Shows the sum of all Application Security Monitoring Serverless invocations over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

audit_logs_lines_indexed_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all audit logs lines indexed over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

audit_trail_enabled_hwm

\n
\n

int64

\n

Shows whether Audit Trail is enabled for the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

audit_trail_event_forwarding_events_sum

\n
\n

int64

\n

Shows the sum of all Audit Trail event forwarding events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

avg_profiled_fargate_tasks

\n
\n

int64

\n

The average total count for Fargate Container Profiler over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

aws_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all AWS hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

aws_lambda_func_count

\n
\n

int64

\n

Shows the sum of all AWS Lambda invocations over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

aws_lambda_invocations_sum

\n
\n

int64

\n

Shows the sum of all AWS Lambda invocations over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

azure_app_service_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Azure app services over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

billable_ingested_bytes_sum

\n
\n

int64

\n

Shows the sum of all log bytes ingested over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

bits_ai_investigations_sum

\n
\n

int64

\n

Shows the sum of all Bits AI Investigations over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_lite_session_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser lite sessions over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_replay_session_count_sum

\n
\n

int64

\n

Shows the sum of all browser replay sessions over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

browser_rum_units_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser RUM units over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

ccm_anthropic_spend_last

\n
\n

int64

\n

Shows the last value of Anthropic cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_aws_spend_last

\n
\n

int64

\n

Shows the last value of AWS cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_azure_spend_last

\n
\n

int64

\n

Shows the last value of Azure cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_confluent_spend_last

\n
\n

int64

\n

Shows the last value of Confluent cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_databricks_spend_last

\n
\n

int64

\n

Shows the last value of Databricks cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_elastic_spend_last

\n
\n

int64

\n

Shows the last value of Elastic cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_fastly_spend_last

\n
\n

int64

\n

Shows the last value of Fastly cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_gcp_spend_last

\n
\n

int64

\n

Shows the last value of GCP cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_github_spend_last

\n
\n

int64

\n

Shows the last value of GitHub cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_mongodb_spend_last

\n
\n

int64

\n

Shows the last value of MongoDB cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_oci_spend_last

\n
\n

int64

\n

Shows the last value of OCI cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_openai_spend_last

\n
\n

int64

\n

Shows the last value of OpenAI cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_snowflake_spend_last

\n
\n

int64

\n

Shows the last value of Snowflake cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_spend_monitored_ent_last

\n
\n

int64

\n

Shows the last value of the amount of cloud spend monitored for Enterprise over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_spend_monitored_pro_last

\n
\n

int64

\n

Shows the last value of the amount of cloud spend monitored for Pro over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ccm_twilio_spend_last

\n
\n

int64

\n

Shows the last value of Twilio cloud spend monitored over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ci_pipeline_indexed_spans_sum

\n
\n

int64

\n

Shows the sum of all CI pipeline indexed spans over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ci_test_indexed_spans_sum

\n
\n

int64

\n

Shows the sum of all CI test indexed spans over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_itr_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all CI visibility intelligent test runner committers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_pipeline_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all CI visibility pipeline committers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ci_visibility_test_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all CI visibility test committers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_aws_host_count_avg

\n
\n

int64

\n

Host count average of Cloud Cost Management for AWS for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_azure_host_count_avg

\n
\n

int64

\n

Host count average of Cloud Cost Management for Azure for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_gcp_host_count_avg

\n
\n

int64

\n

Host count average of Cloud Cost Management for GCP for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_host_count_avg

\n
\n

int64

\n

Host count average of Cloud Cost Management for all cloud providers for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

cloud_cost_management_oci_host_count_avg

\n
\n

int64

\n

Average host count for Cloud Cost Management on OCI for the given date and organization.

\n
\n \n
\n
\n
\n
\n
\n

cloud_siem_events_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Information and Event Management events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cloud_siem_indexed_logs_sum

\n
\n

int64

\n

Shows the sum of all Cloud SIEM Indexed Logs over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

code_analysis_sa_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all Static Analysis committers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

code_analysis_sca_committers_hwm

\n
\n

int64

\n

Shows the high-water mark of all static Software Composition Analysis committers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

code_security_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Code Security hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

container_avg

\n
\n

int64

\n

Shows the average of all distinct containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

container_excl_agent_avg

\n
\n

int64

\n

Shows the average of containers without the Datadog Agent over all hours in the current date for the given organization.

\n
\n \n
\n
\n
\n
\n
\n

container_hwm

\n
\n

int64

\n

Shows the high-water mark of all distinct containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_compliance_count_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise compliance containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_cws_count_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise Cloud Workload Security containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_container_enterprise_total_count_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Enterprise containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_aas_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Azure app services hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_aws_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise AWS hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_azure_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Azure hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_compliance_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise compliance hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_cws_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise Cloud Workload Security hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_gcp_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise GCP hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_oci_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise OCI hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_enterprise_total_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Enterprise hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_hosts_agentless_scanners_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_hosts_agentless_scanners_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

csm_host_pro_oci_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro OCI hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_aas_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Azure app services hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_aws_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro AWS hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_azure_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Azure hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_container_avg

\n
\n

int64

\n

Shows the average number of Cloud Security Management Pro containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_container_hwm

\n
\n

int64

\n

Shows the high-water mark of Cloud Security Management Pro containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_gcp_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro GCP hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_hosts_agentless_scanners_sum

\n
\n

int64

\n

Shows the sum of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cspm_hosts_agentless_scanners_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Security Management Pro Agentless scanner hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

custom_historical_ts_avg

\n
\n

int64

\n

Shows the average number of distinct historical custom metrics over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

custom_live_ts_avg

\n
\n

int64

\n

Shows the average number of distinct live custom metrics over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

custom_ts_avg

\n
\n

int64

\n

Shows the average number of distinct custom metrics over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cws_container_count_avg

\n
\n

int64

\n

Shows the average of all distinct Cloud Workload Security containers over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cws_fargate_task_avg

\n
\n

int64

\n

Shows the average of all distinct Cloud Workload Security Fargate tasks over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

cws_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Cloud Workload Security hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

data_jobs_monitoring_host_hr_sum

\n
\n

int64

\n

Shows the sum of all Data Jobs Monitoring hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

data_stream_monitoring_host_count_sum

\n
\n

int64

\n

Shows the sum of all Data Streams Monitoring hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

data_stream_monitoring_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Data Streams Monitoring hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

dbm_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Database Monitoring hosts over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

dbm_queries_avg_sum

\n
\n

int64

\n

Shows the average of all distinct Database Monitoring normalized queries over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

do_jobs_monitoring_orchestrators_job_hours_sum

\n
\n

int64

\n

Shows the sum of all orchestrator job hours over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_agent_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_alibaba_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Alibaba over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_aws_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on AWS over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_azure_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Azure over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_infra_basic_agent_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier with the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_infra_basic_vsphere_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier on vSphere over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_basic_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Basic tier over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_ent_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Enterprise over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_gcp_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on GCP over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_heroku_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts on Heroku over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_only_aas_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with only Azure App Services over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_only_vsphere_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts with only vSphere over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_opentelemetry_apm_sum

\n
\n

int64

\n

Shows the sum of all ephemeral APM hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_opentelemetry_sum

\n
\n

int64

\n

Shows the sum of all ephemeral hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_pro_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Pro over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_proplus_sum

\n
\n

int64

\n

Shows the sum of all ephemeral infrastructure hosts for Pro Plus over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

eph_infra_host_proxmox_sum

\n
\n

int64

\n

Sum of all ephemeral infrastructure hosts for Proxmox over all hours in the current date for the given organization.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_apm_error_events_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking APM error events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_error_events_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking error events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_events_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

error_tracking_rum_error_events_sum

\n
\n

int64

\n

Shows the sum of all Error Tracking RUM error events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_correlated_events_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlated events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_correlated_related_events_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlated related events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

event_management_correlation_sum

\n
\n

int64

\n

Shows the sum of all Event Management correlations over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

fargate_container_profiler_profiling_fargate_avg

\n
\n

int64

\n

The average number of Profiling Fargate tasks over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

fargate_container_profiler_profiling_fargate_eks_avg

\n
\n

int64

\n

The average number of Profiling Fargate Elastic Kubernetes Service tasks over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

fargate_tasks_count_avg

\n
\n

int64

\n

The average task count for Fargate.

\n
\n \n
\n
\n
\n
\n
\n

fargate_tasks_count_hwm

\n
\n

int64

\n

Shows the high-water mark of all Fargate tasks over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

feature_flags_config_requests_sum

\n
\n

int64

\n

Shows the sum of all Feature Flags Client-Side SDK config requests over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_large_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Large Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_medium_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Medium Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_small_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Small Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_xlarge_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Extra Large Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_compute_xsmall_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Compute Extra Small Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_storage_index_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Storage Index Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_logs_starter_storage_retention_adjustment_avg

\n
\n

int64

\n

Shows the average number of Flex Logs Starter Storage Retention Adjustment Instances over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

flex_stored_logs_avg

\n
\n

int64

\n

Shows the average of all Flex Stored Logs over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

forwarding_events_bytes_sum

\n
\n

int64

\n

Shows the sum of all log bytes forwarded over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

gcp_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all GCP hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

heroku_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Heroku dynos over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

The organization id.

\n
\n \n
\n
\n
\n
\n
\n

incident_management_monthly_active_users_hwm

\n
\n

int64

\n

Shows the high-water mark of incident management monthly active users over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

incident_management_seats_hwm

\n
\n

int64

\n

Shows the high-water mark of Incident Management seats over all hours on the current date for the given organization.

\n
\n \n
\n
\n
\n
\n
\n

indexed_events_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all log events indexed over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

indexed_points_sum

\n
\n

int64

\n

Shows the sum of all indexed custom metrics points over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_avg

\n
\n

int64

\n

Shows the average of all Infrastructure vCPU cores over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_basic_avg

\n
\n

int64

\n

Shows the average of all default basic Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_basic_sum

\n
\n

int64

\n

Shows the sum of all default basic Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_agent_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_aws_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on AWS over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_aws_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on AWS over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_azure_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on Azure over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_azure_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on Azure over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_gcp_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on GCP over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_gcp_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on GCP over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores on Nutanix over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_basic_avg

\n
\n

int64

\n

Shows the average of all default basic Infrastructure host vCPU cores on Nutanix over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_basic_sum

\n
\n

int64

\n

Shows the sum of all default basic Infrastructure host vCPU cores on Nutanix over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_nutanix_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores on Nutanix over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_opentelemetry_avg

\n
\n

int64

\n

Shows the average of all default Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_default_infra_host_vcpu_opentelemetry_sum

\n
\n

int64

\n

Shows the sum of all default Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_agent_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_agent_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores reported by the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_aws_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on AWS over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_aws_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on AWS over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_azure_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on Azure over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_azure_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on Azure over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_gcp_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on GCP over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_gcp_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on GCP over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_nutanix_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores on Nutanix over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_nutanix_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores on Nutanix over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_opentelemetry_avg

\n
\n

int64

\n

Shows the average of all observed Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_observed_infra_host_vcpu_opentelemetry_sum

\n
\n

int64

\n

Shows the sum of all observed Infrastructure host vCPU cores reported by OpenTelemetry over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_cpu_sum

\n
\n

int64

\n

Shows the sum of all Infrastructure vCPU cores over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_edge_monitoring_devices_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Edge Devices Monitoring devices over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_infra_basic_agent_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier with the Datadog Agent over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_infra_basic_vsphere_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier on vSphere over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_basic_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts for Basic tier over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct infrastructure hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

infra_storage_mgmt_objects_count_avg

\n
\n

int64

\n

Shows the average number of storage management objects over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ingest_points_sum

\n
\n

int64

\n

Shows the sum of all ingested custom metrics points over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

ingested_events_bytes_sum

\n
\n

int64

\n

Shows the sum of all log bytes ingested over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

iot_apm_host_sum

\n
\n

int64

\n

Shows the sum of all Application Performance Monitoring IoT hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

iot_apm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Application Performance Monitoring IoT hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

iot_device_agg_sum

\n
\n

int64

\n

Shows the sum of all IoT devices over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

iot_device_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all IoT devices over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_15day_retention_spans_sum

\n
\n

int64

\n

Shows the sum of all Agent Observability 15-day retention spans over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_30day_retention_spans_sum

\n
\n

int64

\n

Shows the sum of all Agent Observability 30-day retention spans over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_60day_retention_spans_sum

\n
\n

int64

\n

Shows the sum of all Agent Observability 60-day retention spans over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_90day_retention_spans_sum

\n
\n

int64

\n

Shows the sum of all Agent Observability 90-day retention spans over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_min_spend_sum

\n
\n

int64

\n

Shows the sum of all Agent Observability minimum spend over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

llm_observability_sum

\n
\n

int64

\n

Shows the sum of all Agent observability sessions over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

logs_archive_search_gb_scanned_sum

\n
\n

int64

\n

Shows the sum of all Logs Archive Search scanned data over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

metric_names_sum

\n
\n

int64

\n

Shows the sum of all custom metric names over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_lite_session_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile lite sessions over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_android_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Android over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_flutter_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Flutter over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_ios_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on iOS over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_reactnative_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on React Native over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_roku_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions on Roku over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_session_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM sessions over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

mobile_rum_units_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all mobile RUM units over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

The organization name.

\n
\n \n
\n
\n
\n
\n
\n

ndm_netflow_events_sum

\n
\n

int64

\n

Shows the sum of all Network Device Monitoring NetFlow events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

netflow_indexed_events_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all Network flows indexed over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

network_device_wireless_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Network Device Monitoring wireless devices over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

network_path_sum

\n
\n

int64

\n

Shows the sum of all Network Path scheduled tests over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

npm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all distinct Cloud Network Monitoring hosts (formerly known as Network hosts) over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

observability_pipelines_bytes_processed_sum

\n
\n

int64

\n

Sum of all observability pipelines bytes processed over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

oci_host_sum

\n
\n

int64

\n

Shows the sum of all Oracle Cloud Infrastructure hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

oci_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Oracle Cloud Infrastructure hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

on_call_seat_hwm

\n
\n

int64

\n

Shows the high-water mark of On-Call seats over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

online_archive_events_count_sum

\n
\n

int64

\n

Sum of all online archived events over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

opentelemetry_apm_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of APM hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

opentelemetry_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all hosts reported by the Datadog exporter for the OpenTelemetry Collector over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

product_analytics_sum

\n
\n

int64

\n

Shows the sum of all product analytics sessions over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

profiling_aas_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all profiled Azure app services over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

profiling_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all profiled hosts over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

proxmox_host_sum

\n
\n

int64

\n

Sum of all Proxmox hosts over all hours in the current date for the given organization.

\n
\n \n
\n
\n
\n
\n
\n

proxmox_host_top99p

\n
\n

int64

\n

99th percentile of all Proxmox hosts over all hours in the current date for the given organization.

\n
\n \n
\n
\n
\n
\n
\n

public_id

\n
\n

string

\n

The organization public id.

\n
\n \n
\n
\n
\n
\n
\n

published_app_hwm

\n
\n

int64

\n

Shows the high-water mark of all published applications over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

region

\n
\n

string

\n

The region of the organization.

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_and_mobile_session_count

\n
\n

int64

\n

Shows the sum of all mobile sessions and all browser lite and legacy sessions over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_legacy_session_count_sum

\n
\n

int64

\n

Shows the sum of all browser RUM legacy sessions over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_lite_session_count_sum

\n
\n

int64

\n

Shows the sum of all browser RUM lite sessions over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_replay_session_count_sum

\n
\n

int64

\n

Shows the sum of all browser RUM Session Replay counts over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_indexed_sessions_sum

\n
\n

int64

\n

Shows the sum of all RUM indexed sessions over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_ingested_sessions_sum

\n
\n

int64

\n

Shows the sum of all RUM ingested sessions over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_lite_session_count_sum

\n
\n

int64

\n

Shows the sum of all RUM lite sessions (browser and mobile) over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_android_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on Android over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_flutter_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on Flutter over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_ios_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on iOS over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_reactnative_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on React Native over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_roku_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on Roku over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_android_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Android over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_flutter_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Flutter over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_ios_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on iOS over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_kotlinmultiplatform_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Kotlin Multiplatform over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_reactnative_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on React Native over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_roku_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Roku over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_unity_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Unity over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_android_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on Android over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_ios_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on iOS over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_kotlinmultiplatform_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on Kotlin Multiplatform over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_reactnative_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on React Native over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_replay_session_count_sum

\n
\n

int64

\n

Shows the sum of all RUM Session Replay counts over all hours in the current date for the given org (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_session_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser RUM lite sessions over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_session_replay_add_on_sum

\n
\n

int64

\n

Shows the sum of all RUM session replay add-on sessions over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_total_session_count_sum

\n
\n

int64

\n

Shows the sum of RUM sessions (browser and mobile) over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_units_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser and mobile RUM units over all hours in the current date for the given org (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

sca_fargate_count_avg

\n
\n

int64

\n

Shows the average of all Software Composition Analysis Fargate tasks over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

sca_fargate_count_hwm

\n
\n

int64

\n

Shows the sum of the high-water marks of all Software Composition Analysis Fargate tasks over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

sds_apm_scanned_bytes_sum

\n
\n

int64

\n

Sum of all APM bytes scanned with sensitive data scanner over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

sds_events_scanned_bytes_sum

\n
\n

int64

\n

Sum of all event stream events bytes scanned with sensitive data scanner over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

sds_logs_scanned_bytes_sum

\n
\n

int64

\n

Shows the sum of all bytes scanned of logs usage by the Sensitive Data Scanner over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

sds_rum_scanned_bytes_sum

\n
\n

int64

\n

Sum of all RUM bytes scanned with sensitive data scanner over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

sds_total_scanned_bytes_sum

\n
\n

int64

\n

Shows the sum of all bytes scanned across all usage types by the Sensitive Data Scanner over all hours in the current month for the given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_appservice_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Azure App Service instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_azurefunction_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Azure Function instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_containerapp_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Azure Container App instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_fargate_ecs_tasks_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Fargate Elastic Container Service tasks for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_cloudfunction_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Google Cloud Platform Cloud Function instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_cloudrun_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Google Cloud Platform Cloud Run instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_gke_autopilot_pods_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Google Kubernetes Engine Autopilot pods for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_appservice_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure App Service instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_azurefunction_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure Function instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_containerapp_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure Container App instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_cloudfunction_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Cloud Platform Cloud Function instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_cloudrun_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Cloud Platform Cloud Run instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_gke_autopilot_pods_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Kubernetes Engine Autopilot pods for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_container_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure Container App instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_count_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_function_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure Function App instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_web_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure Web App instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_dsm_fargate_tasks_avg

\n
\n

int64

\n

Shows the average number of DSM Fargate ECS tasks monitored under Serverless Apps DSM for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_ecs_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Elastic Container Service for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_eks_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Elastic Kubernetes Service for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_container_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Azure Container App instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_function_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Azure Function App instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_web_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Azure Web App instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_google_cloud_functions_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Google Cloud Platform Cloud Functions instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_google_cloud_run_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Google Cloud Platform Cloud Run instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_infra_gcp_gke_autopilot_pods_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Google Kubernetes Engine Autopilot pods for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_cloud_functions_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Google Cloud Platform Cloud Functions instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_cloud_run_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Google Cloud Platform Cloud Run instances for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_count_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Google Cloud for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_infra_gcp_gke_autopilot_pods_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Google Kubernetes Engine Autopilot pods for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_total_count_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure and Google Cloud for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

siem_12mo_retention_sum

\n
\n

int64

\n

Shows the sum of Cloud SIEM Indexed Logs (12-month retention) over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

siem_6mo_retention_sum

\n
\n

int64

\n

Shows the sum of Cloud SIEM Indexed Logs (6-month retention) over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

siem_analyzed_logs_add_on_count_sum

\n
\n

int64

\n

Shows the sum of all log events analyzed by Cloud SIEM over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

snmp_device_count_sum

\n
\n

int64

\n

Shows the sum of all Network Device Monitoring devices over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

snmp_device_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Network Device Monitoring devices over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_browser_check_calls_count_sum

\n
\n

int64

\n

Shows the sum of all Synthetic browser tests over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_check_calls_count_sum

\n
\n

int64

\n

Shows the sum of all Synthetic API tests over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_mobile_test_runs_sum

\n
\n

int64

\n

Shows the sum of all Synthetic mobile application tests over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_parallel_testing_max_slots_hwm

\n
\n

int64

\n

Shows the high-water mark of used synthetics parallel testing slots over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

trace_search_indexed_events_count_sum

\n
\n

int64

\n

Shows the sum of all Indexed Spans indexed over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

twol_ingested_events_bytes_sum

\n
\n

int64

\n

Shows the sum of all ingested APM span bytes over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

universal_service_monitoring_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Universal Service Monitoring hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

vsphere_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all vSphere hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

vuln_management_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Application Vulnerability Management hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

workflow_executions_usage_sum

\n
\n

int64

\n

Sum of all workflows executed over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

product_analytics_sum

\n
\n

int64

\n

Sum of all product analytics sessions over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

profiling_aas_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all profiled Azure app services over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

profiling_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all profiled hosts over all hours within the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

proxmox_host_sum

\n
\n

int64

\n

Sum of all Proxmox hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

proxmox_host_top99p

\n
\n

int64

\n

99th percentile of all Proxmox hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

published_app_hwm

\n
\n

int64

\n

Shows the high-water mark of all published applications over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_and_mobile_session_count

\n
\n

int64

\n

Shows the sum of all mobile sessions and all browser lite and legacy sessions over all hours in the current month for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_legacy_session_count_sum

\n
\n

int64

\n

Shows the sum of all browser RUM legacy sessions over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_lite_session_count_sum

\n
\n

int64

\n

Shows the sum of all browser RUM lite sessions over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_browser_replay_session_count_sum

\n
\n

int64

\n

Shows the sum of all browser RUM Session Replay counts over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_indexed_sessions_sum

\n
\n

int64

\n

Sum of all RUM indexed sessions over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_ingested_sessions_sum

\n
\n

int64

\n

Sum of all RUM ingested sessions over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_lite_session_count_sum

\n
\n

int64

\n

Shows the sum of all RUM lite sessions (browser and mobile) over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_android_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on Android over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_flutter_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy Sessions on Flutter over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_ios_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on iOS over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_reactnative_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on React Native over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_legacy_session_count_roku_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM legacy sessions on Roku over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_android_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Android over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_flutter_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Flutter over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_ios_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on iOS over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_kotlinmultiplatform_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Kotlin Multiplatform over all hours within the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_reactnative_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on React Native over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_roku_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Roku over all hours within the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_lite_session_count_unity_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM lite sessions on Unity over all hours within the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_android_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on Android over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_ios_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on iOS over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_kotlinmultiplatform_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on Kotlin Multiplatform over all hours within the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_mobile_replay_session_count_reactnative_sum

\n
\n

int64

\n

Shows the sum of all mobile RUM replay sessions on React Native over all hours within the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

rum_replay_session_count_sum

\n
\n

int64

\n

Shows the sum of all RUM Session Replay counts over all hours in the current date for all organizations (To be introduced on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_session_count_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser RUM lite sessions over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

rum_session_replay_add_on_sum

\n
\n

int64

\n

Sum of all RUM session replay add-on sessions over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_total_session_count_sum

\n
\n

int64

\n

Shows the sum of RUM sessions (browser and mobile) over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

rum_units_sum

\n
\n

int64

\n

DEPRECATED: Shows the sum of all browser and mobile RUM units over all hours in the current date for all organizations (To be deprecated on October 1st, 2024).

\n
\n \n
\n
\n
\n
\n
\n

sca_fargate_count_avg

\n
\n

int64

\n

Shows the average of all Software Composition Analysis Fargate tasks over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

sca_fargate_count_hwm

\n
\n

int64

\n

Shows the sum of the high-water marks of all Software Composition Analysis Fargate tasks over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

sds_apm_scanned_bytes_sum

\n
\n

int64

\n

Sum of all APM bytes scanned with sensitive data scanner over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_events_scanned_bytes_sum

\n
\n

int64

\n

Sum of all event stream events bytes scanned with sensitive data scanner over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_logs_scanned_bytes_sum

\n
\n

int64

\n

Shows the sum of all bytes scanned of logs usage by the Sensitive Data Scanner over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_rum_scanned_bytes_sum

\n
\n

int64

\n

Sum of all RUM bytes scanned with sensitive data scanner over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

sds_total_scanned_bytes_sum

\n
\n

int64

\n

Shows the sum of all bytes scanned across all usage types by the Sensitive Data Scanner over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_appservice_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Azure App Service instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_azurefunction_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Azure Function instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_azure_containerapp_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Azure Container App instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_fargate_ecs_tasks_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Fargate Elastic Container Service tasks for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_cloudfunction_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Google Cloud Platform Cloud Function instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_cloudrun_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Google Cloud Platform Cloud Run instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_apm_gcp_gke_autopilot_pods_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for Google Kubernetes Engine Autopilot pods for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_appservice_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure App Service instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_azurefunction_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure Function instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_azure_containerapp_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Azure Container App instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_cloudfunction_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Cloud Platform Cloud Function instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_cloudrun_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Cloud Platform Cloud Run instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_apm_gcp_gke_autopilot_pods_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for Google Kubernetes Engine Autopilot pods for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_apm_excl_fargate_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps with Application Performance Monitoring excluding Fargate for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_container_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure Container App instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_count_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_function_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure Function App instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_azure_web_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure Web App instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_dsm_fargate_tasks_avg

\n
\n

int64

\n

Shows the average number of DSM Fargate ECS tasks monitored under Serverless Apps DSM for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_ecs_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Elastic Container Service for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_eks_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Elastic Kubernetes Service for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_container_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Azure Container App instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_function_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Azure Function App instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_azure_web_app_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Azure Web App instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_google_cloud_functions_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Google Cloud Platform Cloud Functions instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_google_cloud_run_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Google Cloud Platform Cloud Run instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_excl_fargate_infra_gcp_gke_autopilot_pods_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps excluding Fargate for Google Kubernetes Engine Autopilot pods for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_cloud_functions_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Google Cloud Platform Cloud Functions instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_cloud_run_instances_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Google Cloud Platform Cloud Run instances for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_google_count_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Google Cloud for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_infra_gcp_gke_autopilot_pods_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Google Kubernetes Engine Autopilot pods for the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

serverless_apps_total_count_avg

\n
\n

int64

\n

Shows the average number of Serverless Apps for Azure and Google Cloud for the given date and given org.

\n
\n \n
\n
\n
\n
\n
\n

siem_12mo_retention_sum

\n
\n

int64

\n

Shows the sum of Cloud SIEM Indexed Logs (12-month retention) over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

siem_6mo_retention_sum

\n
\n

int64

\n

Shows the sum of Cloud SIEM Indexed Logs (6-month retention) over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

siem_analyzed_logs_add_on_count_sum

\n
\n

int64

\n

Shows the sum of all log events analyzed by Cloud SIEM over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

snmp_device_count_sum

\n
\n

int64

\n

Shows the sum of all Network Device Monitoring devices over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

snmp_device_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Network Device Monitoring devices over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_browser_check_calls_count_sum

\n
\n

int64

\n

Shows the sum of all Synthetic browser tests over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_check_calls_count_sum

\n
\n

int64

\n

Shows the sum of all Synthetic API tests over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_mobile_test_runs_sum

\n
\n

int64

\n

Shows the sum of all Synthetic mobile application tests over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

synthetics_parallel_testing_max_slots_hwm

\n
\n

int64

\n

Shows the high-water mark of used synthetics parallel testing slots over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

trace_search_indexed_events_count_sum

\n
\n

int64

\n

Shows the sum of all Indexed Spans indexed over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

twol_ingested_events_bytes_sum

\n
\n

int64

\n

Shows the sum of all ingested APM span bytes over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

universal_service_monitoring_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all universal service management hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

vsphere_host_top99p

\n
\n

int64

\n

Shows the 99th percentile of all vSphere hosts over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

vuln_management_host_count_top99p

\n
\n

int64

\n

Shows the 99th percentile of all Application Vulnerability Management hosts over all hours in the current date for the given org.

\n
\n \n
\n
\n
\n
\n
\n

workflow_executions_usage_sum

\n
\n

int64

\n

Sum of all workflows executed over all hours in the current date for all organizations.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

vsphere_host_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all vSphere hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

vuln_management_host_count_top99p_sum

\n
\n

int64

\n

Shows the 99th percentile of all Application Vulnerability Management hosts over all hours in the current month for all organizations.

\n
\n \n
\n
\n
\n
\n
\n

workflow_executions_usage_agg_sum

\n
\n

int64

\n

Sum of all workflows executed over all hours in the current month for all organizations.

\n
\n \n
\n
" }, "400": { "json": { diff --git a/hugo/content/en/api/v2/llm-observability/examples.json b/hugo/content/en/api/v2/llm-observability/examples.json index e3186ce4872..cc92684b02b 100644 --- a/hugo/content/en/api/v2/llm-observability/examples.json +++ b/hugo/content/en/api/v2/llm-observability/examples.json @@ -96,7 +96,7 @@ } ] }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of custom evaluator configuration data objects.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of a custom LLM Observability evaluator configuration.

\n
\n
\n
\n
\n
\n

category

\n
\n

string

\n

Category of the evaluator.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the evaluator configuration was created.

\n
\n \n
\n
\n
\n
\n
\n

created_by

\n
\n

object

\n

A Datadog user associated with a custom evaluator configuration.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

eval_name [required]

\n
\n

string

\n

Name of the custom evaluator.

\n
\n \n
\n
\n
\n
\n
\n

last_updated_by

\n
\n

object

\n

A Datadog user associated with a custom evaluator configuration.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

llm_judge_config

\n
\n

object

\n

LLM judge configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

assessment_criteria

\n
\n

object

\n

Criteria used to assess the pass/fail result of a custom evaluator.

\n
\n
\n
\n
\n
\n

max_threshold

\n
\n

double

\n

Maximum numeric threshold for a passing result.

\n
\n \n
\n
\n
\n
\n
\n

min_threshold

\n
\n

double

\n

Minimum numeric threshold for a passing result.

\n
\n \n
\n
\n
\n
\n
\n

pass_values

\n
\n

[string]

\n

Specific output values considered as a passing result.

\n
\n \n
\n
\n
\n
\n
\n

pass_when

\n
\n

boolean

\n

When true, a boolean output of true is treated as passing.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

context_query

\n
\n

string

\n

Query used to extract additional context for the evaluation.

\n
\n \n
\n
\n
\n
\n
\n

inference_params [required]

\n
\n

object

\n

LLM inference parameters for a custom evaluator.

\n
\n
\n
\n
\n
\n

frequency_penalty

\n
\n

double

\n

Frequency penalty to reduce repetition.

\n
\n \n
\n
\n
\n
\n
\n

max_tokens

\n
\n

int64

\n

Maximum number of tokens to generate.

\n
\n \n
\n
\n
\n
\n
\n

presence_penalty

\n
\n

double

\n

Presence penalty to reduce repetition.

\n
\n \n
\n
\n
\n
\n
\n

temperature

\n
\n

double

\n

Sampling temperature for the LLM.

\n
\n \n
\n
\n
\n
\n
\n

top_k

\n
\n

int64

\n

Top-k sampling parameter.

\n
\n \n
\n
\n
\n
\n
\n

top_p

\n
\n

double

\n

Top-p (nucleus) sampling parameter.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

last_used_library_prompt_template_name

\n
\n

string

\n

Name of the last library prompt template used.

\n
\n \n
\n
\n
\n
\n
\n

modified_library_prompt_template

\n
\n

boolean

\n

Whether the library prompt template was modified.

\n
\n \n
\n
\n
\n
\n
\n

output_schema

\n
\n

object

\n

JSON schema describing the expected output format of the LLM judge.

\n
\n \n
\n
\n
\n
\n
\n

parsing_type

\n
\n

enum

\n

Output parsing type for a custom LLM judge evaluator. \nAllowed enum values: structured_output,json,keyword_search

\n
\n \n
\n
\n
\n
\n
\n

prompt_template

\n
\n

[object]

\n

List of messages forming the LLM judge prompt template.

\n
\n
\n
\n
\n
\n

content

\n
\n

string

\n

Text content of the message.

\n
\n \n
\n
\n
\n
\n
\n

contents

\n
\n

[object]

\n

Multi-part content blocks for the message.

\n
\n
\n
\n
\n
\n

type [required]

\n
\n

string

\n

Content block type.

\n
\n \n
\n
\n
\n
\n
\n

value [required]

\n
\n

object

\n

Value of a prompt message content block.

\n
\n
\n
\n
\n
\n

text

\n
\n

string

\n

Text content of the message block.

\n
\n \n
\n
\n
\n
\n
\n

tool_call

\n
\n

object

\n

A tool call within a prompt message.

\n
\n
\n
\n
\n
\n

arguments

\n
\n

string

\n

JSON-encoded arguments for the tool call.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the tool call.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool being called.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool call.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tool_call_result

\n
\n

object

\n

A tool call result within a prompt message.

\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool that produced this result.

\n
\n \n
\n
\n
\n
\n
\n

result

\n
\n

string

\n

The result returned by the tool.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the tool call this result corresponds to.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message author.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

target_query

\n
\n

string

\n

Query used to extract the target value to evaluate.

\n
\n \n
\n
\n
\n
\n
\n

user_specified_json_post_processing_function

\n
\n

string

\n

User-provided function applied to post-process the JSON output of the LLM judge.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

llm_provider

\n
\n

object

\n

LLM provider configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

bedrock

\n
\n

object

\n

AWS Bedrock-specific options for LLM provider configuration.

\n
\n
\n
\n
\n
\n

inference_profile

\n
\n

string

\n

Bedrock inference profile identifier, such as an application inference profile ARN.

\n
\n \n
\n
\n
\n
\n
\n

region

\n
\n

string

\n

AWS region for Bedrock.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

integration_account_id

\n
\n

string

\n

Integration account identifier.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

enum

\n

Name of the LLM integration provider. \nAllowed enum values: openai,amazon-bedrock,anthropic,azure-openai,vertex-ai,llm-proxy

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Name of the LLM model.

\n
\n \n
\n
\n
\n
\n
\n

vertex_ai

\n
\n

object

\n

Google Vertex AI-specific options for LLM provider configuration.

\n
\n
\n
\n
\n
\n

location

\n
\n

string

\n

Google Cloud region.

\n
\n \n
\n
\n
\n
\n
\n

project

\n
\n

string

\n

Google Cloud project ID.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

target

\n
\n

object

\n

Target application configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

application_name [required]

\n
\n

string

\n

Name of the ML application this evaluator targets.

\n
\n \n
\n
\n
\n
\n
\n

enabled [required]

\n
\n

boolean

\n

Whether the evaluator is active for the target application.

\n
\n \n
\n
\n
\n
\n
\n

eval_scope

\n
\n

enum

\n

Scope at which to evaluate spans. \nAllowed enum values: span,trace,session

\n
\n \n
\n
\n
\n
\n
\n

experiment_project_ids

\n
\n

[string]

\n

Experiment project IDs this evaluator is scoped to.

\n
\n \n
\n
\n
\n
\n
\n

filter

\n
\n

string

\n

Filter expression to select which spans to evaluate.

\n
\n \n
\n
\n
\n
\n
\n

root_spans_only

\n
\n

boolean

\n

When true, only root spans are evaluated.

\n
\n \n
\n
\n
\n
\n
\n

sampling_percentage

\n
\n

double

\n

Percentage of traces to evaluate. Must be greater than 0 and at most 100.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the evaluator configuration was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique name identifier of the evaluator configuration.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of the custom LLM Observability evaluator configuration resource. \nAllowed enum values: evaluator_config

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of custom evaluator configuration data objects.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of a custom Agent Observability evaluator configuration.

\n
\n
\n
\n
\n
\n

category

\n
\n

string

\n

Category of the evaluator.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the evaluator configuration was created.

\n
\n \n
\n
\n
\n
\n
\n

created_by

\n
\n

object

\n

A Datadog user associated with a custom evaluator configuration.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

eval_name [required]

\n
\n

string

\n

Name of the custom evaluator.

\n
\n \n
\n
\n
\n
\n
\n

last_updated_by

\n
\n

object

\n

A Datadog user associated with a custom evaluator configuration.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

llm_judge_config

\n
\n

object

\n

LLM judge configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

assessment_criteria

\n
\n

object

\n

Criteria used to assess the pass/fail result of a custom evaluator.

\n
\n
\n
\n
\n
\n

max_threshold

\n
\n

double

\n

Maximum numeric threshold for a passing result.

\n
\n \n
\n
\n
\n
\n
\n

min_threshold

\n
\n

double

\n

Minimum numeric threshold for a passing result.

\n
\n \n
\n
\n
\n
\n
\n

pass_values

\n
\n

[string]

\n

Specific output values considered as a passing result.

\n
\n \n
\n
\n
\n
\n
\n

pass_when

\n
\n

boolean

\n

When true, a boolean output of true is treated as passing.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

context_query

\n
\n

string

\n

Query used to extract additional context for the evaluation.

\n
\n \n
\n
\n
\n
\n
\n

inference_params [required]

\n
\n

object

\n

LLM inference parameters for a custom evaluator.

\n
\n
\n
\n
\n
\n

frequency_penalty

\n
\n

double

\n

Frequency penalty to reduce repetition.

\n
\n \n
\n
\n
\n
\n
\n

max_tokens

\n
\n

int64

\n

Maximum number of tokens to generate.

\n
\n \n
\n
\n
\n
\n
\n

presence_penalty

\n
\n

double

\n

Presence penalty to reduce repetition.

\n
\n \n
\n
\n
\n
\n
\n

temperature

\n
\n

double

\n

Sampling temperature for the LLM.

\n
\n \n
\n
\n
\n
\n
\n

top_k

\n
\n

int64

\n

Top-k sampling parameter.

\n
\n \n
\n
\n
\n
\n
\n

top_p

\n
\n

double

\n

Top-p (nucleus) sampling parameter.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

last_used_library_prompt_template_name

\n
\n

string

\n

Name of the last library prompt template used.

\n
\n \n
\n
\n
\n
\n
\n

modified_library_prompt_template

\n
\n

boolean

\n

Whether the library prompt template was modified.

\n
\n \n
\n
\n
\n
\n
\n

output_schema

\n
\n

object

\n

JSON schema describing the expected output format of the LLM judge.

\n
\n \n
\n
\n
\n
\n
\n

parsing_type

\n
\n

enum

\n

Output parsing type for a custom LLM judge evaluator. \nAllowed enum values: structured_output,json,keyword_search

\n
\n \n
\n
\n
\n
\n
\n

prompt_template

\n
\n

[object]

\n

List of messages forming the LLM judge prompt template.

\n
\n
\n
\n
\n
\n

content

\n
\n

string

\n

Text content of the message.

\n
\n \n
\n
\n
\n
\n
\n

contents

\n
\n

[object]

\n

Multi-part content blocks for the message.

\n
\n
\n
\n
\n
\n

type [required]

\n
\n

string

\n

Content block type.

\n
\n \n
\n
\n
\n
\n
\n

value [required]

\n
\n

object

\n

Value of a prompt message content block.

\n
\n
\n
\n
\n
\n

text

\n
\n

string

\n

Text content of the message block.

\n
\n \n
\n
\n
\n
\n
\n

tool_call

\n
\n

object

\n

A tool call within a prompt message.

\n
\n
\n
\n
\n
\n

arguments

\n
\n

string

\n

JSON-encoded arguments for the tool call.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the tool call.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool being called.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool call.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tool_call_result

\n
\n

object

\n

A tool call result within a prompt message.

\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool that produced this result.

\n
\n \n
\n
\n
\n
\n
\n

result

\n
\n

string

\n

The result returned by the tool.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the tool call this result corresponds to.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message author.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

target_query

\n
\n

string

\n

Query used to extract the target value to evaluate.

\n
\n \n
\n
\n
\n
\n
\n

user_specified_json_post_processing_function

\n
\n

string

\n

User-provided function applied to post-process the JSON output of the LLM judge.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

llm_provider

\n
\n

object

\n

LLM provider configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

bedrock

\n
\n

object

\n

AWS Bedrock-specific options for LLM provider configuration.

\n
\n
\n
\n
\n
\n

inference_profile

\n
\n

string

\n

Bedrock inference profile identifier, such as an application inference profile ARN.

\n
\n \n
\n
\n
\n
\n
\n

region

\n
\n

string

\n

AWS region for Bedrock.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

integration_account_id

\n
\n

string

\n

Integration account identifier.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

enum

\n

Name of the LLM integration provider. \nAllowed enum values: openai,amazon-bedrock,anthropic,azure-openai,vertex-ai,llm-proxy

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Name of the LLM model.

\n
\n \n
\n
\n
\n
\n
\n

vertex_ai

\n
\n

object

\n

Google Vertex AI-specific options for LLM provider configuration.

\n
\n
\n
\n
\n
\n

location

\n
\n

string

\n

Google Cloud region.

\n
\n \n
\n
\n
\n
\n
\n

project

\n
\n

string

\n

Google Cloud project ID.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

target

\n
\n

object

\n

Target application configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

application_name [required]

\n
\n

string

\n

Name of the ML application this evaluator targets.

\n
\n \n
\n
\n
\n
\n
\n

enabled [required]

\n
\n

boolean

\n

Whether the evaluator is active for the target application.

\n
\n \n
\n
\n
\n
\n
\n

eval_scope

\n
\n

enum

\n

Scope at which to evaluate spans. \nAllowed enum values: span,trace,session

\n
\n \n
\n
\n
\n
\n
\n

experiment_project_ids

\n
\n

[string]

\n

Experiment project IDs this evaluator is scoped to.

\n
\n \n
\n
\n
\n
\n
\n

filter

\n
\n

string

\n

Filter expression to select which spans to evaluate.

\n
\n \n
\n
\n
\n
\n
\n

root_spans_only

\n
\n

boolean

\n

When true, only root spans are evaluated.

\n
\n \n
\n
\n
\n
\n
\n

sampling_percentage

\n
\n

double

\n

Percentage of traces to evaluate. Must be greater than 0 and at most 100.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the evaluator configuration was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique name identifier of the evaluator configuration.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of the custom Agent Observability evaluator configuration resource. \nAllowed enum values: evaluator_config

\n
\n \n
\n
\n
\n
" }, "401": { "json": { @@ -333,7 +333,7 @@ "type": "evaluator_config" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for a custom LLM Observability evaluator configuration.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of a custom LLM Observability evaluator configuration.

\n
\n
\n
\n
\n
\n

category

\n
\n

string

\n

Category of the evaluator.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the evaluator configuration was created.

\n
\n \n
\n
\n
\n
\n
\n

created_by

\n
\n

object

\n

A Datadog user associated with a custom evaluator configuration.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

eval_name [required]

\n
\n

string

\n

Name of the custom evaluator.

\n
\n \n
\n
\n
\n
\n
\n

last_updated_by

\n
\n

object

\n

A Datadog user associated with a custom evaluator configuration.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

llm_judge_config

\n
\n

object

\n

LLM judge configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

assessment_criteria

\n
\n

object

\n

Criteria used to assess the pass/fail result of a custom evaluator.

\n
\n
\n
\n
\n
\n

max_threshold

\n
\n

double

\n

Maximum numeric threshold for a passing result.

\n
\n \n
\n
\n
\n
\n
\n

min_threshold

\n
\n

double

\n

Minimum numeric threshold for a passing result.

\n
\n \n
\n
\n
\n
\n
\n

pass_values

\n
\n

[string]

\n

Specific output values considered as a passing result.

\n
\n \n
\n
\n
\n
\n
\n

pass_when

\n
\n

boolean

\n

When true, a boolean output of true is treated as passing.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

context_query

\n
\n

string

\n

Query used to extract additional context for the evaluation.

\n
\n \n
\n
\n
\n
\n
\n

inference_params [required]

\n
\n

object

\n

LLM inference parameters for a custom evaluator.

\n
\n
\n
\n
\n
\n

frequency_penalty

\n
\n

double

\n

Frequency penalty to reduce repetition.

\n
\n \n
\n
\n
\n
\n
\n

max_tokens

\n
\n

int64

\n

Maximum number of tokens to generate.

\n
\n \n
\n
\n
\n
\n
\n

presence_penalty

\n
\n

double

\n

Presence penalty to reduce repetition.

\n
\n \n
\n
\n
\n
\n
\n

temperature

\n
\n

double

\n

Sampling temperature for the LLM.

\n
\n \n
\n
\n
\n
\n
\n

top_k

\n
\n

int64

\n

Top-k sampling parameter.

\n
\n \n
\n
\n
\n
\n
\n

top_p

\n
\n

double

\n

Top-p (nucleus) sampling parameter.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

last_used_library_prompt_template_name

\n
\n

string

\n

Name of the last library prompt template used.

\n
\n \n
\n
\n
\n
\n
\n

modified_library_prompt_template

\n
\n

boolean

\n

Whether the library prompt template was modified.

\n
\n \n
\n
\n
\n
\n
\n

output_schema

\n
\n

object

\n

JSON schema describing the expected output format of the LLM judge.

\n
\n \n
\n
\n
\n
\n
\n

parsing_type

\n
\n

enum

\n

Output parsing type for a custom LLM judge evaluator. \nAllowed enum values: structured_output,json,keyword_search

\n
\n \n
\n
\n
\n
\n
\n

prompt_template

\n
\n

[object]

\n

List of messages forming the LLM judge prompt template.

\n
\n
\n
\n
\n
\n

content

\n
\n

string

\n

Text content of the message.

\n
\n \n
\n
\n
\n
\n
\n

contents

\n
\n

[object]

\n

Multi-part content blocks for the message.

\n
\n
\n
\n
\n
\n

type [required]

\n
\n

string

\n

Content block type.

\n
\n \n
\n
\n
\n
\n
\n

value [required]

\n
\n

object

\n

Value of a prompt message content block.

\n
\n
\n
\n
\n
\n

text

\n
\n

string

\n

Text content of the message block.

\n
\n \n
\n
\n
\n
\n
\n

tool_call

\n
\n

object

\n

A tool call within a prompt message.

\n
\n
\n
\n
\n
\n

arguments

\n
\n

string

\n

JSON-encoded arguments for the tool call.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the tool call.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool being called.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool call.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tool_call_result

\n
\n

object

\n

A tool call result within a prompt message.

\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool that produced this result.

\n
\n \n
\n
\n
\n
\n
\n

result

\n
\n

string

\n

The result returned by the tool.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the tool call this result corresponds to.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message author.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

target_query

\n
\n

string

\n

Query used to extract the target value to evaluate.

\n
\n \n
\n
\n
\n
\n
\n

user_specified_json_post_processing_function

\n
\n

string

\n

User-provided function applied to post-process the JSON output of the LLM judge.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

llm_provider

\n
\n

object

\n

LLM provider configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

bedrock

\n
\n

object

\n

AWS Bedrock-specific options for LLM provider configuration.

\n
\n
\n
\n
\n
\n

inference_profile

\n
\n

string

\n

Bedrock inference profile identifier, such as an application inference profile ARN.

\n
\n \n
\n
\n
\n
\n
\n

region

\n
\n

string

\n

AWS region for Bedrock.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

integration_account_id

\n
\n

string

\n

Integration account identifier.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

enum

\n

Name of the LLM integration provider. \nAllowed enum values: openai,amazon-bedrock,anthropic,azure-openai,vertex-ai,llm-proxy

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Name of the LLM model.

\n
\n \n
\n
\n
\n
\n
\n

vertex_ai

\n
\n

object

\n

Google Vertex AI-specific options for LLM provider configuration.

\n
\n
\n
\n
\n
\n

location

\n
\n

string

\n

Google Cloud region.

\n
\n \n
\n
\n
\n
\n
\n

project

\n
\n

string

\n

Google Cloud project ID.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

target

\n
\n

object

\n

Target application configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

application_name [required]

\n
\n

string

\n

Name of the ML application this evaluator targets.

\n
\n \n
\n
\n
\n
\n
\n

enabled [required]

\n
\n

boolean

\n

Whether the evaluator is active for the target application.

\n
\n \n
\n
\n
\n
\n
\n

eval_scope

\n
\n

enum

\n

Scope at which to evaluate spans. \nAllowed enum values: span,trace,session

\n
\n \n
\n
\n
\n
\n
\n

experiment_project_ids

\n
\n

[string]

\n

Experiment project IDs this evaluator is scoped to.

\n
\n \n
\n
\n
\n
\n
\n

filter

\n
\n

string

\n

Filter expression to select which spans to evaluate.

\n
\n \n
\n
\n
\n
\n
\n

root_spans_only

\n
\n

boolean

\n

When true, only root spans are evaluated.

\n
\n \n
\n
\n
\n
\n
\n

sampling_percentage

\n
\n

double

\n

Percentage of traces to evaluate. Must be greater than 0 and at most 100.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the evaluator configuration was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique name identifier of the evaluator configuration.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of the custom LLM Observability evaluator configuration resource. \nAllowed enum values: evaluator_config

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for a custom Agent Observability evaluator configuration.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of a custom Agent Observability evaluator configuration.

\n
\n
\n
\n
\n
\n

category

\n
\n

string

\n

Category of the evaluator.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the evaluator configuration was created.

\n
\n \n
\n
\n
\n
\n
\n

created_by

\n
\n

object

\n

A Datadog user associated with a custom evaluator configuration.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

eval_name [required]

\n
\n

string

\n

Name of the custom evaluator.

\n
\n \n
\n
\n
\n
\n
\n

last_updated_by

\n
\n

object

\n

A Datadog user associated with a custom evaluator configuration.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

llm_judge_config

\n
\n

object

\n

LLM judge configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

assessment_criteria

\n
\n

object

\n

Criteria used to assess the pass/fail result of a custom evaluator.

\n
\n
\n
\n
\n
\n

max_threshold

\n
\n

double

\n

Maximum numeric threshold for a passing result.

\n
\n \n
\n
\n
\n
\n
\n

min_threshold

\n
\n

double

\n

Minimum numeric threshold for a passing result.

\n
\n \n
\n
\n
\n
\n
\n

pass_values

\n
\n

[string]

\n

Specific output values considered as a passing result.

\n
\n \n
\n
\n
\n
\n
\n

pass_when

\n
\n

boolean

\n

When true, a boolean output of true is treated as passing.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

context_query

\n
\n

string

\n

Query used to extract additional context for the evaluation.

\n
\n \n
\n
\n
\n
\n
\n

inference_params [required]

\n
\n

object

\n

LLM inference parameters for a custom evaluator.

\n
\n
\n
\n
\n
\n

frequency_penalty

\n
\n

double

\n

Frequency penalty to reduce repetition.

\n
\n \n
\n
\n
\n
\n
\n

max_tokens

\n
\n

int64

\n

Maximum number of tokens to generate.

\n
\n \n
\n
\n
\n
\n
\n

presence_penalty

\n
\n

double

\n

Presence penalty to reduce repetition.

\n
\n \n
\n
\n
\n
\n
\n

temperature

\n
\n

double

\n

Sampling temperature for the LLM.

\n
\n \n
\n
\n
\n
\n
\n

top_k

\n
\n

int64

\n

Top-k sampling parameter.

\n
\n \n
\n
\n
\n
\n
\n

top_p

\n
\n

double

\n

Top-p (nucleus) sampling parameter.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

last_used_library_prompt_template_name

\n
\n

string

\n

Name of the last library prompt template used.

\n
\n \n
\n
\n
\n
\n
\n

modified_library_prompt_template

\n
\n

boolean

\n

Whether the library prompt template was modified.

\n
\n \n
\n
\n
\n
\n
\n

output_schema

\n
\n

object

\n

JSON schema describing the expected output format of the LLM judge.

\n
\n \n
\n
\n
\n
\n
\n

parsing_type

\n
\n

enum

\n

Output parsing type for a custom LLM judge evaluator. \nAllowed enum values: structured_output,json,keyword_search

\n
\n \n
\n
\n
\n
\n
\n

prompt_template

\n
\n

[object]

\n

List of messages forming the LLM judge prompt template.

\n
\n
\n
\n
\n
\n

content

\n
\n

string

\n

Text content of the message.

\n
\n \n
\n
\n
\n
\n
\n

contents

\n
\n

[object]

\n

Multi-part content blocks for the message.

\n
\n
\n
\n
\n
\n

type [required]

\n
\n

string

\n

Content block type.

\n
\n \n
\n
\n
\n
\n
\n

value [required]

\n
\n

object

\n

Value of a prompt message content block.

\n
\n
\n
\n
\n
\n

text

\n
\n

string

\n

Text content of the message block.

\n
\n \n
\n
\n
\n
\n
\n

tool_call

\n
\n

object

\n

A tool call within a prompt message.

\n
\n
\n
\n
\n
\n

arguments

\n
\n

string

\n

JSON-encoded arguments for the tool call.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the tool call.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool being called.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool call.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tool_call_result

\n
\n

object

\n

A tool call result within a prompt message.

\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool that produced this result.

\n
\n \n
\n
\n
\n
\n
\n

result

\n
\n

string

\n

The result returned by the tool.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the tool call this result corresponds to.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message author.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

target_query

\n
\n

string

\n

Query used to extract the target value to evaluate.

\n
\n \n
\n
\n
\n
\n
\n

user_specified_json_post_processing_function

\n
\n

string

\n

User-provided function applied to post-process the JSON output of the LLM judge.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

llm_provider

\n
\n

object

\n

LLM provider configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

bedrock

\n
\n

object

\n

AWS Bedrock-specific options for LLM provider configuration.

\n
\n
\n
\n
\n
\n

inference_profile

\n
\n

string

\n

Bedrock inference profile identifier, such as an application inference profile ARN.

\n
\n \n
\n
\n
\n
\n
\n

region

\n
\n

string

\n

AWS region for Bedrock.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

integration_account_id

\n
\n

string

\n

Integration account identifier.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

enum

\n

Name of the LLM integration provider. \nAllowed enum values: openai,amazon-bedrock,anthropic,azure-openai,vertex-ai,llm-proxy

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Name of the LLM model.

\n
\n \n
\n
\n
\n
\n
\n

vertex_ai

\n
\n

object

\n

Google Vertex AI-specific options for LLM provider configuration.

\n
\n
\n
\n
\n
\n

location

\n
\n

string

\n

Google Cloud region.

\n
\n \n
\n
\n
\n
\n
\n

project

\n
\n

string

\n

Google Cloud project ID.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

target

\n
\n

object

\n

Target application configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

application_name [required]

\n
\n

string

\n

Name of the ML application this evaluator targets.

\n
\n \n
\n
\n
\n
\n
\n

enabled [required]

\n
\n

boolean

\n

Whether the evaluator is active for the target application.

\n
\n \n
\n
\n
\n
\n
\n

eval_scope

\n
\n

enum

\n

Scope at which to evaluate spans. \nAllowed enum values: span,trace,session

\n
\n \n
\n
\n
\n
\n
\n

experiment_project_ids

\n
\n

[string]

\n

Experiment project IDs this evaluator is scoped to.

\n
\n \n
\n
\n
\n
\n
\n

filter

\n
\n

string

\n

Filter expression to select which spans to evaluate.

\n
\n \n
\n
\n
\n
\n
\n

root_spans_only

\n
\n

boolean

\n

When true, only root spans are evaluated.

\n
\n \n
\n
\n
\n
\n
\n

sampling_percentage

\n
\n

double

\n

Percentage of traces to evaluate. Must be greater than 0 and at most 100.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the evaluator configuration was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique name identifier of the evaluator configuration.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of the custom Agent Observability evaluator configuration resource. \nAllowed enum values: evaluator_config

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -633,7 +633,7 @@ "type": "evaluator_config" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating or updating a custom LLM Observability evaluator configuration.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating or updating a custom LLM Observability evaluator configuration.

\n
\n
\n
\n
\n
\n

category

\n
\n

string

\n

Category of the evaluator.

\n
\n \n
\n
\n
\n
\n
\n

eval_name

\n
\n

string

\n

Name of the custom evaluator. If provided, must match the eval_name path parameter.

\n
\n \n
\n
\n
\n
\n
\n

llm_judge_config

\n
\n

object

\n

LLM judge configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

assessment_criteria

\n
\n

object

\n

Criteria used to assess the pass/fail result of a custom evaluator.

\n
\n
\n
\n
\n
\n

max_threshold

\n
\n

double

\n

Maximum numeric threshold for a passing result.

\n
\n \n
\n
\n
\n
\n
\n

min_threshold

\n
\n

double

\n

Minimum numeric threshold for a passing result.

\n
\n \n
\n
\n
\n
\n
\n

pass_values

\n
\n

[string]

\n

Specific output values considered as a passing result.

\n
\n \n
\n
\n
\n
\n
\n

pass_when

\n
\n

boolean

\n

When true, a boolean output of true is treated as passing.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

context_query

\n
\n

string

\n

Query used to extract additional context for the evaluation.

\n
\n \n
\n
\n
\n
\n
\n

inference_params [required]

\n
\n

object

\n

LLM inference parameters for a custom evaluator.

\n
\n
\n
\n
\n
\n

frequency_penalty

\n
\n

double

\n

Frequency penalty to reduce repetition.

\n
\n \n
\n
\n
\n
\n
\n

max_tokens

\n
\n

int64

\n

Maximum number of tokens to generate.

\n
\n \n
\n
\n
\n
\n
\n

presence_penalty

\n
\n

double

\n

Presence penalty to reduce repetition.

\n
\n \n
\n
\n
\n
\n
\n

temperature

\n
\n

double

\n

Sampling temperature for the LLM.

\n
\n \n
\n
\n
\n
\n
\n

top_k

\n
\n

int64

\n

Top-k sampling parameter.

\n
\n \n
\n
\n
\n
\n
\n

top_p

\n
\n

double

\n

Top-p (nucleus) sampling parameter.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

last_used_library_prompt_template_name

\n
\n

string

\n

Name of the last library prompt template used.

\n
\n \n
\n
\n
\n
\n
\n

modified_library_prompt_template

\n
\n

boolean

\n

Whether the library prompt template was modified.

\n
\n \n
\n
\n
\n
\n
\n

output_schema

\n
\n

object

\n

JSON schema describing the expected output format of the LLM judge.

\n
\n \n
\n
\n
\n
\n
\n

parsing_type

\n
\n

enum

\n

Output parsing type for a custom LLM judge evaluator. \nAllowed enum values: structured_output,json,keyword_search

\n
\n \n
\n
\n
\n
\n
\n

prompt_template

\n
\n

[object]

\n

List of messages forming the LLM judge prompt template.

\n
\n
\n
\n
\n
\n

content

\n
\n

string

\n

Text content of the message.

\n
\n \n
\n
\n
\n
\n
\n

contents

\n
\n

[object]

\n

Multi-part content blocks for the message.

\n
\n
\n
\n
\n
\n

type [required]

\n
\n

string

\n

Content block type.

\n
\n \n
\n
\n
\n
\n
\n

value [required]

\n
\n

object

\n

Value of a prompt message content block.

\n
\n
\n
\n
\n
\n

text

\n
\n

string

\n

Text content of the message block.

\n
\n \n
\n
\n
\n
\n
\n

tool_call

\n
\n

object

\n

A tool call within a prompt message.

\n
\n
\n
\n
\n
\n

arguments

\n
\n

string

\n

JSON-encoded arguments for the tool call.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the tool call.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool being called.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool call.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tool_call_result

\n
\n

object

\n

A tool call result within a prompt message.

\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool that produced this result.

\n
\n \n
\n
\n
\n
\n
\n

result

\n
\n

string

\n

The result returned by the tool.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the tool call this result corresponds to.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message author.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

target_query

\n
\n

string

\n

Query used to extract the target value to evaluate.

\n
\n \n
\n
\n
\n
\n
\n

user_specified_json_post_processing_function

\n
\n

string

\n

User-provided function applied to post-process the JSON output of the LLM judge.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

llm_provider

\n
\n

object

\n

LLM provider configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

bedrock

\n
\n

object

\n

AWS Bedrock-specific options for LLM provider configuration.

\n
\n
\n
\n
\n
\n

inference_profile

\n
\n

string

\n

Bedrock inference profile identifier, such as an application inference profile ARN.

\n
\n \n
\n
\n
\n
\n
\n

region

\n
\n

string

\n

AWS region for Bedrock.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

integration_account_id

\n
\n

string

\n

Integration account identifier.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

enum

\n

Name of the LLM integration provider. \nAllowed enum values: openai,amazon-bedrock,anthropic,azure-openai,vertex-ai,llm-proxy

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Name of the LLM model.

\n
\n \n
\n
\n
\n
\n
\n

vertex_ai

\n
\n

object

\n

Google Vertex AI-specific options for LLM provider configuration.

\n
\n
\n
\n
\n
\n

location

\n
\n

string

\n

Google Cloud region.

\n
\n \n
\n
\n
\n
\n
\n

project

\n
\n

string

\n

Google Cloud project ID.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

target [required]

\n
\n

object

\n

Target application configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

application_name [required]

\n
\n

string

\n

Name of the ML application this evaluator targets.

\n
\n \n
\n
\n
\n
\n
\n

enabled [required]

\n
\n

boolean

\n

Whether the evaluator is active for the target application.

\n
\n \n
\n
\n
\n
\n
\n

eval_scope

\n
\n

enum

\n

Scope at which to evaluate spans. \nAllowed enum values: span,trace,session

\n
\n \n
\n
\n
\n
\n
\n

experiment_project_ids

\n
\n

[string]

\n

Experiment project IDs this evaluator is scoped to.

\n
\n \n
\n
\n
\n
\n
\n

filter

\n
\n

string

\n

Filter expression to select which spans to evaluate.

\n
\n \n
\n
\n
\n
\n
\n

root_spans_only

\n
\n

boolean

\n

When true, only root spans are evaluated.

\n
\n \n
\n
\n
\n
\n
\n

sampling_percentage

\n
\n

double

\n

Percentage of traces to evaluate. Must be greater than 0 and at most 100.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Name of the evaluator. If provided, must match the eval_name path parameter.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of the custom LLM Observability evaluator configuration resource. \nAllowed enum values: evaluator_config

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating or updating a custom Agent Observability evaluator configuration.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating or updating a custom Agent Observability evaluator configuration.

\n
\n
\n
\n
\n
\n

category

\n
\n

string

\n

Category of the evaluator.

\n
\n \n
\n
\n
\n
\n
\n

eval_name

\n
\n

string

\n

Name of the custom evaluator. If provided, must match the eval_name path parameter.

\n
\n \n
\n
\n
\n
\n
\n

llm_judge_config

\n
\n

object

\n

LLM judge configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

assessment_criteria

\n
\n

object

\n

Criteria used to assess the pass/fail result of a custom evaluator.

\n
\n
\n
\n
\n
\n

max_threshold

\n
\n

double

\n

Maximum numeric threshold for a passing result.

\n
\n \n
\n
\n
\n
\n
\n

min_threshold

\n
\n

double

\n

Minimum numeric threshold for a passing result.

\n
\n \n
\n
\n
\n
\n
\n

pass_values

\n
\n

[string]

\n

Specific output values considered as a passing result.

\n
\n \n
\n
\n
\n
\n
\n

pass_when

\n
\n

boolean

\n

When true, a boolean output of true is treated as passing.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

context_query

\n
\n

string

\n

Query used to extract additional context for the evaluation.

\n
\n \n
\n
\n
\n
\n
\n

inference_params [required]

\n
\n

object

\n

LLM inference parameters for a custom evaluator.

\n
\n
\n
\n
\n
\n

frequency_penalty

\n
\n

double

\n

Frequency penalty to reduce repetition.

\n
\n \n
\n
\n
\n
\n
\n

max_tokens

\n
\n

int64

\n

Maximum number of tokens to generate.

\n
\n \n
\n
\n
\n
\n
\n

presence_penalty

\n
\n

double

\n

Presence penalty to reduce repetition.

\n
\n \n
\n
\n
\n
\n
\n

temperature

\n
\n

double

\n

Sampling temperature for the LLM.

\n
\n \n
\n
\n
\n
\n
\n

top_k

\n
\n

int64

\n

Top-k sampling parameter.

\n
\n \n
\n
\n
\n
\n
\n

top_p

\n
\n

double

\n

Top-p (nucleus) sampling parameter.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

last_used_library_prompt_template_name

\n
\n

string

\n

Name of the last library prompt template used.

\n
\n \n
\n
\n
\n
\n
\n

modified_library_prompt_template

\n
\n

boolean

\n

Whether the library prompt template was modified.

\n
\n \n
\n
\n
\n
\n
\n

output_schema

\n
\n

object

\n

JSON schema describing the expected output format of the LLM judge.

\n
\n \n
\n
\n
\n
\n
\n

parsing_type

\n
\n

enum

\n

Output parsing type for a custom LLM judge evaluator. \nAllowed enum values: structured_output,json,keyword_search

\n
\n \n
\n
\n
\n
\n
\n

prompt_template

\n
\n

[object]

\n

List of messages forming the LLM judge prompt template.

\n
\n
\n
\n
\n
\n

content

\n
\n

string

\n

Text content of the message.

\n
\n \n
\n
\n
\n
\n
\n

contents

\n
\n

[object]

\n

Multi-part content blocks for the message.

\n
\n
\n
\n
\n
\n

type [required]

\n
\n

string

\n

Content block type.

\n
\n \n
\n
\n
\n
\n
\n

value [required]

\n
\n

object

\n

Value of a prompt message content block.

\n
\n
\n
\n
\n
\n

text

\n
\n

string

\n

Text content of the message block.

\n
\n \n
\n
\n
\n
\n
\n

tool_call

\n
\n

object

\n

A tool call within a prompt message.

\n
\n
\n
\n
\n
\n

arguments

\n
\n

string

\n

JSON-encoded arguments for the tool call.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the tool call.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool being called.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool call.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tool_call_result

\n
\n

object

\n

A tool call result within a prompt message.

\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool that produced this result.

\n
\n \n
\n
\n
\n
\n
\n

result

\n
\n

string

\n

The result returned by the tool.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the tool call this result corresponds to.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message author.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

target_query

\n
\n

string

\n

Query used to extract the target value to evaluate.

\n
\n \n
\n
\n
\n
\n
\n

user_specified_json_post_processing_function

\n
\n

string

\n

User-provided function applied to post-process the JSON output of the LLM judge.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

llm_provider

\n
\n

object

\n

LLM provider configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

bedrock

\n
\n

object

\n

AWS Bedrock-specific options for LLM provider configuration.

\n
\n
\n
\n
\n
\n

inference_profile

\n
\n

string

\n

Bedrock inference profile identifier, such as an application inference profile ARN.

\n
\n \n
\n
\n
\n
\n
\n

region

\n
\n

string

\n

AWS region for Bedrock.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

integration_account_id

\n
\n

string

\n

Integration account identifier.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

enum

\n

Name of the LLM integration provider. \nAllowed enum values: openai,amazon-bedrock,anthropic,azure-openai,vertex-ai,llm-proxy

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Name of the LLM model.

\n
\n \n
\n
\n
\n
\n
\n

vertex_ai

\n
\n

object

\n

Google Vertex AI-specific options for LLM provider configuration.

\n
\n
\n
\n
\n
\n

location

\n
\n

string

\n

Google Cloud region.

\n
\n \n
\n
\n
\n
\n
\n

project

\n
\n

string

\n

Google Cloud project ID.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

target [required]

\n
\n

object

\n

Target application configuration for a custom evaluator.

\n
\n
\n
\n
\n
\n

application_name [required]

\n
\n

string

\n

Name of the ML application this evaluator targets.

\n
\n \n
\n
\n
\n
\n
\n

enabled [required]

\n
\n

boolean

\n

Whether the evaluator is active for the target application.

\n
\n \n
\n
\n
\n
\n
\n

eval_scope

\n
\n

enum

\n

Scope at which to evaluate spans. \nAllowed enum values: span,trace,session

\n
\n \n
\n
\n
\n
\n
\n

experiment_project_ids

\n
\n

[string]

\n

Experiment project IDs this evaluator is scoped to.

\n
\n \n
\n
\n
\n
\n
\n

filter

\n
\n

string

\n

Filter expression to select which spans to evaluate.

\n
\n \n
\n
\n
\n
\n
\n

root_spans_only

\n
\n

boolean

\n

When true, only root spans are evaluated.

\n
\n \n
\n
\n
\n
\n
\n

sampling_percentage

\n
\n

double

\n

Percentage of traces to evaluate. Must be greater than 0 and at most 100.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Name of the evaluator. If provided, must match the eval_name path parameter.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of the custom Agent Observability evaluator configuration resource. \nAllowed enum values: evaluator_config

\n
\n \n
\n
\n
\n
" } }, "GetLLMObsAnnotatedInteractionsByTraceIDs": { @@ -837,7 +837,7 @@ } ] }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of annotation queues.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability annotation queue.

\n
\n
\n
\n
\n
\n

annotation_schema

\n
\n

object

\n

Schema defining the labels for an annotation queue.

\n
\n
\n
\n
\n
\n

label_schemas [required]

\n
\n

[object]

\n

List of label schema definitions.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the label.

\n
\n \n
\n
\n
\n
\n
\n

has_assessment

\n
\n

boolean

\n

Whether this label includes an assessment field.

\n
\n \n
\n
\n
\n
\n
\n

has_reasoning

\n
\n

boolean

\n

Whether this label includes a reasoning field.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the label schema. Assigned by the server if not provided.

\n
\n \n
\n
\n
\n
\n
\n

is_assessment

\n
\n

boolean

\n

Whether the boolean label represents an assessment. Requires has_assessment to be true.

\n
\n \n
\n
\n
\n
\n
\n

is_integer

\n
\n

boolean

\n

Whether score values must be integers. Applicable to score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

is_required

\n
\n

boolean

\n

Whether this label is required for an annotation.

\n
\n \n
\n
\n
\n
\n
\n

max

\n
\n

double

\n

Maximum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

min

\n
\n

double

\n

Minimum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the label. Must match the pattern ^[a-zA-Z0-9_-]+$ and be unique within the queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

[string]

\n

Allowed values for categorical-type labels. Must contain at least one non-empty, unique value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the queue was created.

\n
\n \n
\n
\n
\n
\n
\n

created_by [required]

\n
\n

string

\n

Identifier of the user who created the queue.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

modified_at [required]

\n
\n

date-time

\n

Timestamp when the queue was last modified.

\n
\n \n
\n
\n
\n
\n
\n

modified_by [required]

\n
\n

string

\n

Identifier of the user who last modified the queue.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

owned_by [required]

\n
\n

string

\n

Identifier of the user who owns the queue.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this queue belongs to.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability annotation queue. \nAllowed enum values: queues

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of annotation queues.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability annotation queue.

\n
\n
\n
\n
\n
\n

annotation_schema

\n
\n

object

\n

Schema defining the labels for an annotation queue.

\n
\n
\n
\n
\n
\n

label_schemas [required]

\n
\n

[object]

\n

List of label schema definitions.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the label.

\n
\n \n
\n
\n
\n
\n
\n

has_assessment

\n
\n

boolean

\n

Whether this label includes an assessment field.

\n
\n \n
\n
\n
\n
\n
\n

has_reasoning

\n
\n

boolean

\n

Whether this label includes a reasoning field.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the label schema. Assigned by the server if not provided.

\n
\n \n
\n
\n
\n
\n
\n

is_assessment

\n
\n

boolean

\n

Whether the boolean label represents an assessment. Requires has_assessment to be true.

\n
\n \n
\n
\n
\n
\n
\n

is_integer

\n
\n

boolean

\n

Whether score values must be integers. Applicable to score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

is_required

\n
\n

boolean

\n

Whether this label is required for an annotation.

\n
\n \n
\n
\n
\n
\n
\n

max

\n
\n

double

\n

Maximum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

min

\n
\n

double

\n

Minimum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the label. Must match the pattern ^[a-zA-Z0-9_-]+$ and be unique within the queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

[string]

\n

Allowed values for categorical-type labels. Must contain at least one non-empty, unique value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the queue was created.

\n
\n \n
\n
\n
\n
\n
\n

created_by [required]

\n
\n

string

\n

Identifier of the user who created the queue.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

modified_at [required]

\n
\n

date-time

\n

Timestamp when the queue was last modified.

\n
\n \n
\n
\n
\n
\n
\n

modified_by [required]

\n
\n

string

\n

Identifier of the user who last modified the queue.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

owned_by [required]

\n
\n

string

\n

Identifier of the user who owns the queue.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this queue belongs to.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability annotation queue. \nAllowed enum values: queues

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -949,7 +949,7 @@ "type": "queues" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an LLM Observability annotation queue.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability annotation queue.

\n
\n
\n
\n
\n
\n

annotation_schema

\n
\n

object

\n

Schema defining the labels for an annotation queue.

\n
\n
\n
\n
\n
\n

label_schemas [required]

\n
\n

[object]

\n

List of label schema definitions.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the label.

\n
\n \n
\n
\n
\n
\n
\n

has_assessment

\n
\n

boolean

\n

Whether this label includes an assessment field.

\n
\n \n
\n
\n
\n
\n
\n

has_reasoning

\n
\n

boolean

\n

Whether this label includes a reasoning field.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the label schema. Assigned by the server if not provided.

\n
\n \n
\n
\n
\n
\n
\n

is_assessment

\n
\n

boolean

\n

Whether the boolean label represents an assessment. Requires has_assessment to be true.

\n
\n \n
\n
\n
\n
\n
\n

is_integer

\n
\n

boolean

\n

Whether score values must be integers. Applicable to score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

is_required

\n
\n

boolean

\n

Whether this label is required for an annotation.

\n
\n \n
\n
\n
\n
\n
\n

max

\n
\n

double

\n

Maximum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

min

\n
\n

double

\n

Minimum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the label. Must match the pattern ^[a-zA-Z0-9_-]+$ and be unique within the queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

[string]

\n

Allowed values for categorical-type labels. Must contain at least one non-empty, unique value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the queue was created.

\n
\n \n
\n
\n
\n
\n
\n

created_by [required]

\n
\n

string

\n

Identifier of the user who created the queue.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

modified_at [required]

\n
\n

date-time

\n

Timestamp when the queue was last modified.

\n
\n \n
\n
\n
\n
\n
\n

modified_by [required]

\n
\n

string

\n

Identifier of the user who last modified the queue.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

owned_by [required]

\n
\n

string

\n

Identifier of the user who owns the queue.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this queue belongs to.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability annotation queue. \nAllowed enum values: queues

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability annotation queue.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability annotation queue.

\n
\n
\n
\n
\n
\n

annotation_schema

\n
\n

object

\n

Schema defining the labels for an annotation queue.

\n
\n
\n
\n
\n
\n

label_schemas [required]

\n
\n

[object]

\n

List of label schema definitions.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the label.

\n
\n \n
\n
\n
\n
\n
\n

has_assessment

\n
\n

boolean

\n

Whether this label includes an assessment field.

\n
\n \n
\n
\n
\n
\n
\n

has_reasoning

\n
\n

boolean

\n

Whether this label includes a reasoning field.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the label schema. Assigned by the server if not provided.

\n
\n \n
\n
\n
\n
\n
\n

is_assessment

\n
\n

boolean

\n

Whether the boolean label represents an assessment. Requires has_assessment to be true.

\n
\n \n
\n
\n
\n
\n
\n

is_integer

\n
\n

boolean

\n

Whether score values must be integers. Applicable to score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

is_required

\n
\n

boolean

\n

Whether this label is required for an annotation.

\n
\n \n
\n
\n
\n
\n
\n

max

\n
\n

double

\n

Maximum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

min

\n
\n

double

\n

Minimum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the label. Must match the pattern ^[a-zA-Z0-9_-]+$ and be unique within the queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

[string]

\n

Allowed values for categorical-type labels. Must contain at least one non-empty, unique value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the queue was created.

\n
\n \n
\n
\n
\n
\n
\n

created_by [required]

\n
\n

string

\n

Identifier of the user who created the queue.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

modified_at [required]

\n
\n

date-time

\n

Timestamp when the queue was last modified.

\n
\n \n
\n
\n
\n
\n
\n

modified_by [required]

\n
\n

string

\n

Identifier of the user who last modified the queue.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

owned_by [required]

\n
\n

string

\n

Identifier of the user who owns the queue.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this queue belongs to.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability annotation queue. \nAllowed enum values: queues

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -1064,7 +1064,7 @@ "type": "queues" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating an LLM Observability annotation queue.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating an LLM Observability annotation queue.

\n
\n
\n
\n
\n
\n

annotation_schema

\n
\n

object

\n

Schema defining the labels for an annotation queue.

\n
\n
\n
\n
\n
\n

label_schemas [required]

\n
\n

[object]

\n

List of label schema definitions.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the label.

\n
\n \n
\n
\n
\n
\n
\n

has_assessment

\n
\n

boolean

\n

Whether this label includes an assessment field.

\n
\n \n
\n
\n
\n
\n
\n

has_reasoning

\n
\n

boolean

\n

Whether this label includes a reasoning field.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the label schema. Assigned by the server if not provided.

\n
\n \n
\n
\n
\n
\n
\n

is_assessment

\n
\n

boolean

\n

Whether the boolean label represents an assessment. Requires has_assessment to be true.

\n
\n \n
\n
\n
\n
\n
\n

is_integer

\n
\n

boolean

\n

Whether score values must be integers. Applicable to score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

is_required

\n
\n

boolean

\n

Whether this label is required for an annotation.

\n
\n \n
\n
\n
\n
\n
\n

max

\n
\n

double

\n

Maximum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

min

\n
\n

double

\n

Minimum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the label. Must match the pattern ^[a-zA-Z0-9_-]+$ and be unique within the queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

[string]

\n

Allowed values for categorical-type labels. Must contain at least one non-empty, unique value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this queue belongs to.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability annotation queue. \nAllowed enum values: queues

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating an Agent Observability annotation queue.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating an Agent Observability annotation queue.

\n
\n
\n
\n
\n
\n

annotation_schema

\n
\n

object

\n

Schema defining the labels for an annotation queue.

\n
\n
\n
\n
\n
\n

label_schemas [required]

\n
\n

[object]

\n

List of label schema definitions.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the label.

\n
\n \n
\n
\n
\n
\n
\n

has_assessment

\n
\n

boolean

\n

Whether this label includes an assessment field.

\n
\n \n
\n
\n
\n
\n
\n

has_reasoning

\n
\n

boolean

\n

Whether this label includes a reasoning field.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the label schema. Assigned by the server if not provided.

\n
\n \n
\n
\n
\n
\n
\n

is_assessment

\n
\n

boolean

\n

Whether the boolean label represents an assessment. Requires has_assessment to be true.

\n
\n \n
\n
\n
\n
\n
\n

is_integer

\n
\n

boolean

\n

Whether score values must be integers. Applicable to score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

is_required

\n
\n

boolean

\n

Whether this label is required for an annotation.

\n
\n \n
\n
\n
\n
\n
\n

max

\n
\n

double

\n

Maximum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

min

\n
\n

double

\n

Minimum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the label. Must match the pattern ^[a-zA-Z0-9_-]+$ and be unique within the queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

[string]

\n

Allowed values for categorical-type labels. Must contain at least one non-empty, unique value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this queue belongs to.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability annotation queue. \nAllowed enum values: queues

\n
\n \n
\n
\n
\n
" } }, "DeleteLLMObsAnnotationQueue": { @@ -1179,7 +1179,7 @@ "type": "queues" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an LLM Observability annotation queue.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability annotation queue.

\n
\n
\n
\n
\n
\n

annotation_schema

\n
\n

object

\n

Schema defining the labels for an annotation queue.

\n
\n
\n
\n
\n
\n

label_schemas [required]

\n
\n

[object]

\n

List of label schema definitions.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the label.

\n
\n \n
\n
\n
\n
\n
\n

has_assessment

\n
\n

boolean

\n

Whether this label includes an assessment field.

\n
\n \n
\n
\n
\n
\n
\n

has_reasoning

\n
\n

boolean

\n

Whether this label includes a reasoning field.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the label schema. Assigned by the server if not provided.

\n
\n \n
\n
\n
\n
\n
\n

is_assessment

\n
\n

boolean

\n

Whether the boolean label represents an assessment. Requires has_assessment to be true.

\n
\n \n
\n
\n
\n
\n
\n

is_integer

\n
\n

boolean

\n

Whether score values must be integers. Applicable to score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

is_required

\n
\n

boolean

\n

Whether this label is required for an annotation.

\n
\n \n
\n
\n
\n
\n
\n

max

\n
\n

double

\n

Maximum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

min

\n
\n

double

\n

Minimum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the label. Must match the pattern ^[a-zA-Z0-9_-]+$ and be unique within the queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

[string]

\n

Allowed values for categorical-type labels. Must contain at least one non-empty, unique value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the queue was created.

\n
\n \n
\n
\n
\n
\n
\n

created_by [required]

\n
\n

string

\n

Identifier of the user who created the queue.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

modified_at [required]

\n
\n

date-time

\n

Timestamp when the queue was last modified.

\n
\n \n
\n
\n
\n
\n
\n

modified_by [required]

\n
\n

string

\n

Identifier of the user who last modified the queue.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

owned_by [required]

\n
\n

string

\n

Identifier of the user who owns the queue.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this queue belongs to.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability annotation queue. \nAllowed enum values: queues

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability annotation queue.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability annotation queue.

\n
\n
\n
\n
\n
\n

annotation_schema

\n
\n

object

\n

Schema defining the labels for an annotation queue.

\n
\n
\n
\n
\n
\n

label_schemas [required]

\n
\n

[object]

\n

List of label schema definitions.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the label.

\n
\n \n
\n
\n
\n
\n
\n

has_assessment

\n
\n

boolean

\n

Whether this label includes an assessment field.

\n
\n \n
\n
\n
\n
\n
\n

has_reasoning

\n
\n

boolean

\n

Whether this label includes a reasoning field.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the label schema. Assigned by the server if not provided.

\n
\n \n
\n
\n
\n
\n
\n

is_assessment

\n
\n

boolean

\n

Whether the boolean label represents an assessment. Requires has_assessment to be true.

\n
\n \n
\n
\n
\n
\n
\n

is_integer

\n
\n

boolean

\n

Whether score values must be integers. Applicable to score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

is_required

\n
\n

boolean

\n

Whether this label is required for an annotation.

\n
\n \n
\n
\n
\n
\n
\n

max

\n
\n

double

\n

Maximum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

min

\n
\n

double

\n

Minimum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the label. Must match the pattern ^[a-zA-Z0-9_-]+$ and be unique within the queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

[string]

\n

Allowed values for categorical-type labels. Must contain at least one non-empty, unique value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the queue was created.

\n
\n \n
\n
\n
\n
\n
\n

created_by [required]

\n
\n

string

\n

Identifier of the user who created the queue.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

modified_at [required]

\n
\n

date-time

\n

Timestamp when the queue was last modified.

\n
\n \n
\n
\n
\n
\n
\n

modified_by [required]

\n
\n

string

\n

Identifier of the user who last modified the queue.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

owned_by [required]

\n
\n

string

\n

Identifier of the user who owns the queue.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this queue belongs to.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability annotation queue. \nAllowed enum values: queues

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -1309,7 +1309,7 @@ "type": "queues" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for updating an LLM Observability annotation queue.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for updating an LLM Observability annotation queue. All fields are optional.

\n
\n
\n
\n
\n
\n

annotation_schema

\n
\n

object

\n

Schema defining the labels for an annotation queue.

\n
\n
\n
\n
\n
\n

label_schemas [required]

\n
\n

[object]

\n

List of label schema definitions.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the label.

\n
\n \n
\n
\n
\n
\n
\n

has_assessment

\n
\n

boolean

\n

Whether this label includes an assessment field.

\n
\n \n
\n
\n
\n
\n
\n

has_reasoning

\n
\n

boolean

\n

Whether this label includes a reasoning field.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the label schema. Assigned by the server if not provided.

\n
\n \n
\n
\n
\n
\n
\n

is_assessment

\n
\n

boolean

\n

Whether the boolean label represents an assessment. Requires has_assessment to be true.

\n
\n \n
\n
\n
\n
\n
\n

is_integer

\n
\n

boolean

\n

Whether score values must be integers. Applicable to score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

is_required

\n
\n

boolean

\n

Whether this label is required for an annotation.

\n
\n \n
\n
\n
\n
\n
\n

max

\n
\n

double

\n

Maximum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

min

\n
\n

double

\n

Minimum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the label. Must match the pattern ^[a-zA-Z0-9_-]+$ and be unique within the queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

[string]

\n

Allowed values for categorical-type labels. Must contain at least one non-empty, unique value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Updated description of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Updated name of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability annotation queue. \nAllowed enum values: queues

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for updating an Agent Observability annotation queue.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for updating an Agent Observability annotation queue. All fields are optional.

\n
\n
\n
\n
\n
\n

annotation_schema

\n
\n

object

\n

Schema defining the labels for an annotation queue.

\n
\n
\n
\n
\n
\n

label_schemas [required]

\n
\n

[object]

\n

List of label schema definitions.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the label.

\n
\n \n
\n
\n
\n
\n
\n

has_assessment

\n
\n

boolean

\n

Whether this label includes an assessment field.

\n
\n \n
\n
\n
\n
\n
\n

has_reasoning

\n
\n

boolean

\n

Whether this label includes a reasoning field.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the label schema. Assigned by the server if not provided.

\n
\n \n
\n
\n
\n
\n
\n

is_assessment

\n
\n

boolean

\n

Whether the boolean label represents an assessment. Requires has_assessment to be true.

\n
\n \n
\n
\n
\n
\n
\n

is_integer

\n
\n

boolean

\n

Whether score values must be integers. Applicable to score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

is_required

\n
\n

boolean

\n

Whether this label is required for an annotation.

\n
\n \n
\n
\n
\n
\n
\n

max

\n
\n

double

\n

Maximum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

min

\n
\n

double

\n

Minimum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the label. Must match the pattern ^[a-zA-Z0-9_-]+$ and be unique within the queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

[string]

\n

Allowed values for categorical-type labels. Must contain at least one non-empty, unique value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Updated description of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Updated name of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability annotation queue. \nAllowed enum values: queues

\n
\n \n
\n
\n
\n
" } }, "GetLLMObsAnnotatedInteractions": { @@ -1472,7 +1472,7 @@ "type": "annotations" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for the annotations response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of the annotations response.

\n
\n
\n
\n
\n
\n

annotations [required]

\n
\n

[object]

\n

Successfully created or updated annotations.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the annotation was created.

\n
\n \n
\n
\n
\n
\n
\n

created_by [required]

\n
\n

string

\n

Identifier of the user who created the annotation.

\n
\n \n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the annotation.

\n
\n \n
\n
\n
\n
\n
\n

interaction_id [required]

\n
\n

string

\n

Identifier of the interaction this annotation belongs to.

\n
\n \n
\n
\n
\n
\n
\n

label_values [required]

\n
\n

[object]

\n

Label values for this annotation. Each entry references a label schema by ID\nand provides the corresponding value.

\n
\n
\n
\n
\n
\n

assessment

\n
\n

enum

\n

Assessment result for a label value. \nAllowed enum values: pass,fail

\n
\n \n
\n
\n
\n
\n
\n

label_schema_id [required]

\n
\n

string

\n

ID of the label schema this value corresponds to.

\n
\n \n
\n
\n
\n
\n
\n

name_when_saved

\n
\n

string

\n

Name of the label schema at the time the annotation was created.

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Free text reasoning for this label value.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

value [required]

\n
\n

 <oneOf>

\n

The value for this label. Must comply with the label schema type constraints.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

[string]

\n

For categorical-type labels allowing multiple selections.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

modified_at [required]

\n
\n

date-time

\n

Timestamp when the annotation was last modified.

\n
\n \n
\n
\n
\n
\n
\n

modified_by [required]

\n
\n

string

\n

Identifier of the user who last modified the annotation.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

errors

\n
\n

[object]

\n

Partial errors for annotations that could not be processed.

\n
\n
\n
\n
\n
\n

annotation_id

\n
\n

string

\n

ID of the annotation that failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

error [required]

\n
\n

string

\n

Error message.

\n
\n \n
\n
\n
\n
\n
\n

interaction_id [required]

\n
\n

string

\n

ID of the interaction that failed.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

The annotation queue ID.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for LLM Observability annotations. \nAllowed enum values: annotations

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for the annotations response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of the annotations response.

\n
\n
\n
\n
\n
\n

annotations [required]

\n
\n

[object]

\n

Successfully created or updated annotations.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the annotation was created.

\n
\n \n
\n
\n
\n
\n
\n

created_by [required]

\n
\n

string

\n

Identifier of the user who created the annotation.

\n
\n \n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the annotation.

\n
\n \n
\n
\n
\n
\n
\n

interaction_id [required]

\n
\n

string

\n

Identifier of the interaction this annotation belongs to.

\n
\n \n
\n
\n
\n
\n
\n

label_values [required]

\n
\n

[object]

\n

Label values for this annotation. Each entry references a label schema by ID\nand provides the corresponding value.

\n
\n
\n
\n
\n
\n

assessment

\n
\n

enum

\n

Assessment result for a label value. \nAllowed enum values: pass,fail

\n
\n \n
\n
\n
\n
\n
\n

label_schema_id [required]

\n
\n

string

\n

ID of the label schema this value corresponds to.

\n
\n \n
\n
\n
\n
\n
\n

name_when_saved

\n
\n

string

\n

Name of the label schema at the time the annotation was created.

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Free text reasoning for this label value.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

value [required]

\n
\n

 <oneOf>

\n

The value for this label. Must comply with the label schema type constraints.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

[string]

\n

For categorical-type labels allowing multiple selections.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

modified_at [required]

\n
\n

date-time

\n

Timestamp when the annotation was last modified.

\n
\n \n
\n
\n
\n
\n
\n

modified_by [required]

\n
\n

string

\n

Identifier of the user who last modified the annotation.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

errors

\n
\n

[object]

\n

Partial errors for annotations that could not be processed.

\n
\n
\n
\n
\n
\n

annotation_id

\n
\n

string

\n

ID of the annotation that failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

error [required]

\n
\n

string

\n

Error message.

\n
\n \n
\n
\n
\n
\n
\n

interaction_id [required]

\n
\n

string

\n

ID of the interaction that failed.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

The annotation queue ID.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for Agent Observability annotations. \nAllowed enum values: annotations

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -1594,7 +1594,7 @@ "type": "annotations" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating or updating annotations.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating or updating annotations.

\n
\n
\n
\n
\n
\n

annotations [required]

\n
\n

[object]

\n

List of annotations to create or update. Must contain at least one item.

\n
\n
\n
\n
\n
\n

interaction_id [required]

\n
\n

string

\n

ID of the interaction to annotate.

\n
\n \n
\n
\n
\n
\n
\n

label_values [required]

\n
\n

[object]

\n

Label values for this annotation. Each entry references a label schema by ID\nand provides the corresponding value validated against the schema type constraints.

\n
\n
\n
\n
\n
\n

assessment

\n
\n

enum

\n

Assessment result for a label value. \nAllowed enum values: pass,fail

\n
\n \n
\n
\n
\n
\n
\n

label_schema_id [required]

\n
\n

string

\n

ID of the label schema this value corresponds to.

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Free text reasoning for this label value.

\n
\n \n
\n
\n
\n
\n
\n

value [required]

\n
\n

 <oneOf>

\n

The value for this label. Must comply with the label schema type constraints.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

[string]

\n

For categorical-type labels allowing multiple selections.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for LLM Observability annotations. \nAllowed enum values: annotations

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating or updating annotations.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating or updating annotations.

\n
\n
\n
\n
\n
\n

annotations [required]

\n
\n

[object]

\n

List of annotations to create or update. Must contain at least one item.

\n
\n
\n
\n
\n
\n

interaction_id [required]

\n
\n

string

\n

ID of the interaction to annotate.

\n
\n \n
\n
\n
\n
\n
\n

label_values [required]

\n
\n

[object]

\n

Label values for this annotation. Each entry references a label schema by ID\nand provides the corresponding value validated against the schema type constraints.

\n
\n
\n
\n
\n
\n

assessment

\n
\n

enum

\n

Assessment result for a label value. \nAllowed enum values: pass,fail

\n
\n \n
\n
\n
\n
\n
\n

label_schema_id [required]

\n
\n

string

\n

ID of the label schema this value corresponds to.

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Free text reasoning for this label value.

\n
\n \n
\n
\n
\n
\n
\n

value [required]

\n
\n

 <oneOf>

\n

The value for this label. Must comply with the label schema type constraints.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

[string]

\n

For categorical-type labels allowing multiple selections.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for Agent Observability annotations. \nAllowed enum values: annotations

\n
\n \n
\n
\n
\n
" } }, "DeleteLLMObsAnnotations": { @@ -1617,7 +1617,7 @@ "type": "annotations" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for the annotation deletion response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of the annotation deletion response.

\n
\n
\n
\n
\n
\n

annotation_ids [required]

\n
\n

[string]

\n

IDs of the successfully deleted annotations.

\n
\n \n
\n
\n
\n
\n
\n

errors [required]

\n
\n

[object]

\n

Errors for annotations that could not be deleted.

\n
\n
\n
\n
\n
\n

annotation_id [required]

\n
\n

string

\n

ID of the annotation that could not be deleted.

\n
\n \n
\n
\n
\n
\n
\n

error [required]

\n
\n

string

\n

Error message.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

The annotation queue ID.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for LLM Observability annotations. \nAllowed enum values: annotations

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for the annotation deletion response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of the annotation deletion response.

\n
\n
\n
\n
\n
\n

annotation_ids [required]

\n
\n

[string]

\n

IDs of the successfully deleted annotations.

\n
\n \n
\n
\n
\n
\n
\n

errors [required]

\n
\n

[object]

\n

Errors for annotations that could not be deleted.

\n
\n
\n
\n
\n
\n

annotation_id [required]

\n
\n

string

\n

ID of the annotation that could not be deleted.

\n
\n \n
\n
\n
\n
\n
\n

error [required]

\n
\n

string

\n

Error message.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

The annotation queue ID.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for Agent Observability annotations. \nAllowed enum values: annotations

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -1723,7 +1723,7 @@ "type": "annotations" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for deleting annotations.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for deleting annotations.

\n
\n
\n
\n
\n
\n

annotation_ids [required]

\n
\n

[string]

\n

IDs of the annotations to delete. Must contain at least one item.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for LLM Observability annotations. \nAllowed enum values: annotations

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for deleting annotations.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for deleting annotations.

\n
\n
\n
\n
\n
\n

annotation_ids [required]

\n
\n

[string]

\n

IDs of the annotations to delete. Must contain at least one item.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for Agent Observability annotations. \nAllowed enum values: annotations

\n
\n \n
\n
\n
\n
" } }, "CreateLLMObsAnnotationQueueInteractions": { @@ -1999,7 +1999,7 @@ "type": "queues" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an annotation queue label schema.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an annotation queue label schema.

\n
\n
\n
\n
\n
\n

annotation_schema [required]

\n
\n

object

\n

Schema defining the labels for an annotation queue.

\n
\n
\n
\n
\n
\n

label_schemas [required]

\n
\n

[object]

\n

List of label schema definitions.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the label.

\n
\n \n
\n
\n
\n
\n
\n

has_assessment

\n
\n

boolean

\n

Whether this label includes an assessment field.

\n
\n \n
\n
\n
\n
\n
\n

has_reasoning

\n
\n

boolean

\n

Whether this label includes a reasoning field.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the label schema. Assigned by the server if not provided.

\n
\n \n
\n
\n
\n
\n
\n

is_assessment

\n
\n

boolean

\n

Whether the boolean label represents an assessment. Requires has_assessment to be true.

\n
\n \n
\n
\n
\n
\n
\n

is_integer

\n
\n

boolean

\n

Whether score values must be integers. Applicable to score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

is_required

\n
\n

boolean

\n

Whether this label is required for an annotation.

\n
\n \n
\n
\n
\n
\n
\n

max

\n
\n

double

\n

Maximum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

min

\n
\n

double

\n

Minimum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the label. Must match the pattern ^[a-zA-Z0-9_-]+$ and be unique within the queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

[string]

\n

Allowed values for categorical-type labels. Must contain at least one non-empty, unique value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability annotation queue. \nAllowed enum values: queues

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an annotation queue label schema.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an annotation queue label schema.

\n
\n
\n
\n
\n
\n

annotation_schema [required]

\n
\n

object

\n

Schema defining the labels for an annotation queue.

\n
\n
\n
\n
\n
\n

label_schemas [required]

\n
\n

[object]

\n

List of label schema definitions.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the label.

\n
\n \n
\n
\n
\n
\n
\n

has_assessment

\n
\n

boolean

\n

Whether this label includes an assessment field.

\n
\n \n
\n
\n
\n
\n
\n

has_reasoning

\n
\n

boolean

\n

Whether this label includes a reasoning field.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the label schema. Assigned by the server if not provided.

\n
\n \n
\n
\n
\n
\n
\n

is_assessment

\n
\n

boolean

\n

Whether the boolean label represents an assessment. Requires has_assessment to be true.

\n
\n \n
\n
\n
\n
\n
\n

is_integer

\n
\n

boolean

\n

Whether score values must be integers. Applicable to score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

is_required

\n
\n

boolean

\n

Whether this label is required for an annotation.

\n
\n \n
\n
\n
\n
\n
\n

max

\n
\n

double

\n

Maximum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

min

\n
\n

double

\n

Minimum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the label. Must match the pattern ^[a-zA-Z0-9_-]+$ and be unique within the queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

[string]

\n

Allowed values for categorical-type labels. Must contain at least one non-empty, unique value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability annotation queue. \nAllowed enum values: queues

\n
\n \n
\n
\n
\n
" }, "401": { "json": { @@ -2121,7 +2121,7 @@ "type": "queues" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an annotation queue label schema.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an annotation queue label schema.

\n
\n
\n
\n
\n
\n

annotation_schema [required]

\n
\n

object

\n

Schema defining the labels for an annotation queue.

\n
\n
\n
\n
\n
\n

label_schemas [required]

\n
\n

[object]

\n

List of label schema definitions.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the label.

\n
\n \n
\n
\n
\n
\n
\n

has_assessment

\n
\n

boolean

\n

Whether this label includes an assessment field.

\n
\n \n
\n
\n
\n
\n
\n

has_reasoning

\n
\n

boolean

\n

Whether this label includes a reasoning field.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the label schema. Assigned by the server if not provided.

\n
\n \n
\n
\n
\n
\n
\n

is_assessment

\n
\n

boolean

\n

Whether the boolean label represents an assessment. Requires has_assessment to be true.

\n
\n \n
\n
\n
\n
\n
\n

is_integer

\n
\n

boolean

\n

Whether score values must be integers. Applicable to score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

is_required

\n
\n

boolean

\n

Whether this label is required for an annotation.

\n
\n \n
\n
\n
\n
\n
\n

max

\n
\n

double

\n

Maximum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

min

\n
\n

double

\n

Minimum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the label. Must match the pattern ^[a-zA-Z0-9_-]+$ and be unique within the queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

[string]

\n

Allowed values for categorical-type labels. Must contain at least one non-empty, unique value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability annotation queue. \nAllowed enum values: queues

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an annotation queue label schema.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an annotation queue label schema.

\n
\n
\n
\n
\n
\n

annotation_schema [required]

\n
\n

object

\n

Schema defining the labels for an annotation queue.

\n
\n
\n
\n
\n
\n

label_schemas [required]

\n
\n

[object]

\n

List of label schema definitions.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the label.

\n
\n \n
\n
\n
\n
\n
\n

has_assessment

\n
\n

boolean

\n

Whether this label includes an assessment field.

\n
\n \n
\n
\n
\n
\n
\n

has_reasoning

\n
\n

boolean

\n

Whether this label includes a reasoning field.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the label schema. Assigned by the server if not provided.

\n
\n \n
\n
\n
\n
\n
\n

is_assessment

\n
\n

boolean

\n

Whether the boolean label represents an assessment. Requires has_assessment to be true.

\n
\n \n
\n
\n
\n
\n
\n

is_integer

\n
\n

boolean

\n

Whether score values must be integers. Applicable to score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

is_required

\n
\n

boolean

\n

Whether this label is required for an annotation.

\n
\n \n
\n
\n
\n
\n
\n

max

\n
\n

double

\n

Maximum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

min

\n
\n

double

\n

Minimum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the label. Must match the pattern ^[a-zA-Z0-9_-]+$ and be unique within the queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

[string]

\n

Allowed values for categorical-type labels. Must contain at least one non-empty, unique value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the annotation queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability annotation queue. \nAllowed enum values: queues

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -2267,7 +2267,7 @@ "type": "queues" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for updating an annotation queue label schema.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for updating an annotation queue label schema.

\n
\n
\n
\n
\n
\n

annotation_schema [required]

\n
\n

object

\n

Schema defining the labels for an annotation queue.

\n
\n
\n
\n
\n
\n

label_schemas [required]

\n
\n

[object]

\n

List of label schema definitions.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the label.

\n
\n \n
\n
\n
\n
\n
\n

has_assessment

\n
\n

boolean

\n

Whether this label includes an assessment field.

\n
\n \n
\n
\n
\n
\n
\n

has_reasoning

\n
\n

boolean

\n

Whether this label includes a reasoning field.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the label schema. Assigned by the server if not provided.

\n
\n \n
\n
\n
\n
\n
\n

is_assessment

\n
\n

boolean

\n

Whether the boolean label represents an assessment. Requires has_assessment to be true.

\n
\n \n
\n
\n
\n
\n
\n

is_integer

\n
\n

boolean

\n

Whether score values must be integers. Applicable to score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

is_required

\n
\n

boolean

\n

Whether this label is required for an annotation.

\n
\n \n
\n
\n
\n
\n
\n

max

\n
\n

double

\n

Maximum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

min

\n
\n

double

\n

Minimum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the label. Must match the pattern ^[a-zA-Z0-9_-]+$ and be unique within the queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

[string]

\n

Allowed values for categorical-type labels. Must contain at least one non-empty, unique value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability annotation queue. \nAllowed enum values: queues

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for updating an annotation queue label schema.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for updating an annotation queue label schema.

\n
\n
\n
\n
\n
\n

annotation_schema [required]

\n
\n

object

\n

Schema defining the labels for an annotation queue.

\n
\n
\n
\n
\n
\n

label_schemas [required]

\n
\n

[object]

\n

List of label schema definitions.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the label.

\n
\n \n
\n
\n
\n
\n
\n

has_assessment

\n
\n

boolean

\n

Whether this label includes an assessment field.

\n
\n \n
\n
\n
\n
\n
\n

has_reasoning

\n
\n

boolean

\n

Whether this label includes a reasoning field.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the label schema. Assigned by the server if not provided.

\n
\n \n
\n
\n
\n
\n
\n

is_assessment

\n
\n

boolean

\n

Whether the boolean label represents an assessment. Requires has_assessment to be true.

\n
\n \n
\n
\n
\n
\n
\n

is_integer

\n
\n

boolean

\n

Whether score values must be integers. Applicable to score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

is_required

\n
\n

boolean

\n

Whether this label is required for an annotation.

\n
\n \n
\n
\n
\n
\n
\n

max

\n
\n

double

\n

Maximum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

min

\n
\n

double

\n

Minimum value for score-type labels.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the label. Must match the pattern ^[a-zA-Z0-9_-]+$ and be unique within the queue.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Type of a label in an annotation queue label schema. \nAllowed enum values: score,categorical,boolean,text

\n
\n \n
\n
\n
\n
\n
\n

values

\n
\n

[string]

\n

Allowed values for categorical-type labels. Must contain at least one non-empty, unique value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability annotation queue. \nAllowed enum values: queues

\n
\n \n
\n
\n
\n
" } }, "AggregateLLMObsExperimentation": { @@ -2536,7 +2536,7 @@ "after": "string" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

JSON:API data object for an experimentation search response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

The matching experimentation entities grouped by type.

\n
\n
\n
\n
\n
\n

dataset_records

\n
\n

[object]

\n

Matching dataset records. Present when dataset_records is included in filter.scope.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the record was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset this record belongs to.

\n
\n \n
\n
\n
\n
\n
\n

expected_output [required]

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the record.

\n
\n \n
\n
\n
\n
\n
\n

input [required]

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the record.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the record was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Matching datasets. Present when datasets is included in filter.scope.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was created.

\n
\n \n
\n
\n
\n
\n
\n

current_version [required]

\n
\n

int64

\n

Current version number of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

experiment_runs

\n
\n

[object]

\n

Matching experiment runs. Present when experiment_runs is included in filter.scope.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Aggregated metric data for this run.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp when the run was created.

\n
\n \n
\n
\n
\n
\n
\n

experiment_id

\n
\n

string

\n

Identifier of the experiment this run belongs to.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the experiment run.

\n
\n \n
\n
\n
\n
\n
\n

run_number

\n
\n

int32

\n

Sequential number of this run within the experiment.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

experiments

\n
\n

[object]

\n

Matching experiments. Present when experiments is included in filter.scope.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Pre-computed aggregate metrics for this experiment run, including eval score distributions, token costs, and error rates.

\n
\n \n
\n
\n
\n
\n
\n

author

\n
\n

object

\n

User data for the author of an experiment. Only present when include[user_data] is true.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n

handle

\n
\n

string

\n

Username or handle associated with the user's Datadog account.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

URL of the user's icon.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the user.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

config [required]

\n
\n

object

\n

Configuration parameters for the experiment.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_name

\n
\n

string

\n

Name of the dataset used in this experiment.\nOnly present when include[dataset_names] is true.

\n
\n \n
\n
\n
\n
\n
\n

dataset_version

\n
\n

int64

\n

Version of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

deleted_at

\n
\n

date-time

\n

Timestamp when the experiment was soft-deleted, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

string

\n

Error message describing why the experiment failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

experiment

\n
\n

string

\n

Logical name of the experiment, shared across all runs of the same pipeline.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

parent_experiment_id

\n
\n

string

\n

Identifier of the parent (baseline) experiment this experiment was run against, if any.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this experiment belongs to.

\n
\n \n
\n
\n
\n
\n
\n

run_count

\n
\n

int32

\n

Expected number of runs for this experiment.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Execution status of an LLM Observability experiment. \nAllowed enum values: running,completed,failed,interrupted

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

projects

\n
\n

[object]

\n

Matching projects. Present when projects is included in filter.scope.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability project.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the project was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the project.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the project was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the project.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Server-generated identifier for this search result.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for experimentation search and analytics operations. \nAllowed enum values: experimentation

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Pagination cursor metadata.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor for the next page of results.

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

JSON:API data object for an experimentation search response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

The matching experimentation entities grouped by type.

\n
\n
\n
\n
\n
\n

dataset_records

\n
\n

[object]

\n

Matching dataset records. Present when dataset_records is included in filter.scope.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the record was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset this record belongs to.

\n
\n \n
\n
\n
\n
\n
\n

expected_output [required]

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the record.

\n
\n \n
\n
\n
\n
\n
\n

input [required]

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the record.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the record was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Matching datasets. Present when datasets is included in filter.scope.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was created.

\n
\n \n
\n
\n
\n
\n
\n

current_version [required]

\n
\n

int64

\n

Current version number of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

experiment_runs

\n
\n

[object]

\n

Matching experiment runs. Present when experiment_runs is included in filter.scope.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Aggregated metric data for this run.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp when the run was created.

\n
\n \n
\n
\n
\n
\n
\n

experiment_id

\n
\n

string

\n

Identifier of the experiment this run belongs to.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the experiment run.

\n
\n \n
\n
\n
\n
\n
\n

run_number

\n
\n

int32

\n

Sequential number of this run within the experiment.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

experiments

\n
\n

[object]

\n

Matching experiments. Present when experiments is included in filter.scope.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Pre-computed aggregate metrics for this experiment run, including eval score distributions, token costs, and error rates.

\n
\n \n
\n
\n
\n
\n
\n

author

\n
\n

object

\n

User data for the author of an experiment. Only present when include[user_data] is true.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n

handle

\n
\n

string

\n

Username or handle associated with the user's Datadog account.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

URL of the user's icon.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the user.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

config [required]

\n
\n

object

\n

Configuration parameters for the experiment.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_name

\n
\n

string

\n

Name of the dataset used in this experiment.\nOnly present when include[dataset_names] is true.

\n
\n \n
\n
\n
\n
\n
\n

dataset_version

\n
\n

int64

\n

Version of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

deleted_at

\n
\n

date-time

\n

Timestamp when the experiment was soft-deleted, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

string

\n

Error message describing why the experiment failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

experiment

\n
\n

string

\n

Logical name of the experiment, shared across all runs of the same pipeline.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

parent_experiment_id

\n
\n

string

\n

Identifier of the parent (baseline) experiment this experiment was run against, if any.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this experiment belongs to.

\n
\n \n
\n
\n
\n
\n
\n

run_count

\n
\n

int32

\n

Expected number of runs for this experiment.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Execution status of an Agent Observability experiment. \nAllowed enum values: running,completed,failed,interrupted

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

projects

\n
\n

[object]

\n

Matching projects. Present when projects is included in filter.scope.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability project.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the project was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the project.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the project was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the project.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Server-generated identifier for this search result.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for experimentation search and analytics operations. \nAllowed enum values: experimentation

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Pagination cursor metadata.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor for the next page of results.

\n
\n \n
\n
\n
\n
" }, "206": { "json": { @@ -2630,7 +2630,7 @@ "after": "string" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

JSON:API data object for an experimentation search response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

The matching experimentation entities grouped by type.

\n
\n
\n
\n
\n
\n

dataset_records

\n
\n

[object]

\n

Matching dataset records. Present when dataset_records is included in filter.scope.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the record was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset this record belongs to.

\n
\n \n
\n
\n
\n
\n
\n

expected_output [required]

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the record.

\n
\n \n
\n
\n
\n
\n
\n

input [required]

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the record.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the record was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Matching datasets. Present when datasets is included in filter.scope.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was created.

\n
\n \n
\n
\n
\n
\n
\n

current_version [required]

\n
\n

int64

\n

Current version number of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

experiment_runs

\n
\n

[object]

\n

Matching experiment runs. Present when experiment_runs is included in filter.scope.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Aggregated metric data for this run.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp when the run was created.

\n
\n \n
\n
\n
\n
\n
\n

experiment_id

\n
\n

string

\n

Identifier of the experiment this run belongs to.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the experiment run.

\n
\n \n
\n
\n
\n
\n
\n

run_number

\n
\n

int32

\n

Sequential number of this run within the experiment.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

experiments

\n
\n

[object]

\n

Matching experiments. Present when experiments is included in filter.scope.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Pre-computed aggregate metrics for this experiment run, including eval score distributions, token costs, and error rates.

\n
\n \n
\n
\n
\n
\n
\n

author

\n
\n

object

\n

User data for the author of an experiment. Only present when include[user_data] is true.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n

handle

\n
\n

string

\n

Username or handle associated with the user's Datadog account.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

URL of the user's icon.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the user.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

config [required]

\n
\n

object

\n

Configuration parameters for the experiment.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_name

\n
\n

string

\n

Name of the dataset used in this experiment.\nOnly present when include[dataset_names] is true.

\n
\n \n
\n
\n
\n
\n
\n

dataset_version

\n
\n

int64

\n

Version of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

deleted_at

\n
\n

date-time

\n

Timestamp when the experiment was soft-deleted, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

string

\n

Error message describing why the experiment failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

experiment

\n
\n

string

\n

Logical name of the experiment, shared across all runs of the same pipeline.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

parent_experiment_id

\n
\n

string

\n

Identifier of the parent (baseline) experiment this experiment was run against, if any.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this experiment belongs to.

\n
\n \n
\n
\n
\n
\n
\n

run_count

\n
\n

int32

\n

Expected number of runs for this experiment.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Execution status of an LLM Observability experiment. \nAllowed enum values: running,completed,failed,interrupted

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

projects

\n
\n

[object]

\n

Matching projects. Present when projects is included in filter.scope.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability project.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the project was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the project.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the project was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the project.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Server-generated identifier for this search result.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for experimentation search and analytics operations. \nAllowed enum values: experimentation

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Pagination cursor metadata.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor for the next page of results.

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

JSON:API data object for an experimentation search response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

The matching experimentation entities grouped by type.

\n
\n
\n
\n
\n
\n

dataset_records

\n
\n

[object]

\n

Matching dataset records. Present when dataset_records is included in filter.scope.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the record was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset this record belongs to.

\n
\n \n
\n
\n
\n
\n
\n

expected_output [required]

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the record.

\n
\n \n
\n
\n
\n
\n
\n

input [required]

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the record.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the record was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Matching datasets. Present when datasets is included in filter.scope.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was created.

\n
\n \n
\n
\n
\n
\n
\n

current_version [required]

\n
\n

int64

\n

Current version number of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

experiment_runs

\n
\n

[object]

\n

Matching experiment runs. Present when experiment_runs is included in filter.scope.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Aggregated metric data for this run.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp when the run was created.

\n
\n \n
\n
\n
\n
\n
\n

experiment_id

\n
\n

string

\n

Identifier of the experiment this run belongs to.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the experiment run.

\n
\n \n
\n
\n
\n
\n
\n

run_number

\n
\n

int32

\n

Sequential number of this run within the experiment.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

experiments

\n
\n

[object]

\n

Matching experiments. Present when experiments is included in filter.scope.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Pre-computed aggregate metrics for this experiment run, including eval score distributions, token costs, and error rates.

\n
\n \n
\n
\n
\n
\n
\n

author

\n
\n

object

\n

User data for the author of an experiment. Only present when include[user_data] is true.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n

handle

\n
\n

string

\n

Username or handle associated with the user's Datadog account.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

URL of the user's icon.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the user.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

config [required]

\n
\n

object

\n

Configuration parameters for the experiment.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_name

\n
\n

string

\n

Name of the dataset used in this experiment.\nOnly present when include[dataset_names] is true.

\n
\n \n
\n
\n
\n
\n
\n

dataset_version

\n
\n

int64

\n

Version of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

deleted_at

\n
\n

date-time

\n

Timestamp when the experiment was soft-deleted, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

string

\n

Error message describing why the experiment failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

experiment

\n
\n

string

\n

Logical name of the experiment, shared across all runs of the same pipeline.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

parent_experiment_id

\n
\n

string

\n

Identifier of the parent (baseline) experiment this experiment was run against, if any.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this experiment belongs to.

\n
\n \n
\n
\n
\n
\n
\n

run_count

\n
\n

int32

\n

Expected number of runs for this experiment.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Execution status of an Agent Observability experiment. \nAllowed enum values: running,completed,failed,interrupted

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

projects

\n
\n

[object]

\n

Matching projects. Present when projects is included in filter.scope.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability project.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the project was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the project.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the project was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the project.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Server-generated identifier for this search result.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for experimentation search and analytics operations. \nAllowed enum values: experimentation

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Pagination cursor metadata.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor for the next page of results.

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -2854,7 +2854,7 @@ } } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

JSON:API data object for a simple search response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

The matching experimentation entities grouped by type.

\n
\n
\n
\n
\n
\n

dataset_records

\n
\n

[object]

\n

Matching dataset records. Present when dataset_records is included in filter.scope.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the record was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset this record belongs to.

\n
\n \n
\n
\n
\n
\n
\n

expected_output [required]

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the record.

\n
\n \n
\n
\n
\n
\n
\n

input [required]

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the record.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the record was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Matching datasets. Present when datasets is included in filter.scope.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was created.

\n
\n \n
\n
\n
\n
\n
\n

current_version [required]

\n
\n

int64

\n

Current version number of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

experiment_runs

\n
\n

[object]

\n

Matching experiment runs. Present when experiment_runs is included in filter.scope.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Aggregated metric data for this run.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp when the run was created.

\n
\n \n
\n
\n
\n
\n
\n

experiment_id

\n
\n

string

\n

Identifier of the experiment this run belongs to.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the experiment run.

\n
\n \n
\n
\n
\n
\n
\n

run_number

\n
\n

int32

\n

Sequential number of this run within the experiment.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

experiments

\n
\n

[object]

\n

Matching experiments. Present when experiments is included in filter.scope.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Pre-computed aggregate metrics for this experiment run, including eval score distributions, token costs, and error rates.

\n
\n \n
\n
\n
\n
\n
\n

author

\n
\n

object

\n

User data for the author of an experiment. Only present when include[user_data] is true.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n

handle

\n
\n

string

\n

Username or handle associated with the user's Datadog account.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

URL of the user's icon.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the user.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

config [required]

\n
\n

object

\n

Configuration parameters for the experiment.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_name

\n
\n

string

\n

Name of the dataset used in this experiment.\nOnly present when include[dataset_names] is true.

\n
\n \n
\n
\n
\n
\n
\n

dataset_version

\n
\n

int64

\n

Version of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

deleted_at

\n
\n

date-time

\n

Timestamp when the experiment was soft-deleted, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

string

\n

Error message describing why the experiment failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

experiment

\n
\n

string

\n

Logical name of the experiment, shared across all runs of the same pipeline.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

parent_experiment_id

\n
\n

string

\n

Identifier of the parent (baseline) experiment this experiment was run against, if any.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this experiment belongs to.

\n
\n \n
\n
\n
\n
\n
\n

run_count

\n
\n

int32

\n

Expected number of runs for this experiment.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Execution status of an LLM Observability experiment. \nAllowed enum values: running,completed,failed,interrupted

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

projects

\n
\n

[object]

\n

Matching projects. Present when projects is included in filter.scope.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability project.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the project was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the project.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the project was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the project.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Server-generated identifier for this search result.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for experimentation search and analytics operations. \nAllowed enum values: experimentation

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Pagination metadata for a simple search response.

\n
\n
\n
\n
\n
\n

page

\n
\n

object

\n

Page metadata.

\n
\n
\n
\n
\n
\n

current

\n
\n

int32

\n

Current page number.

\n
\n \n
\n
\n
\n
\n
\n

limit

\n
\n

int32

\n

Page size used for this response.

\n
\n \n
\n
\n
\n
\n
\n

total_count

\n
\n

int32

\n

Total number of matching results (capped at the maximum search limit).

\n
\n \n
\n
\n
\n
\n
\n

total_pages

\n
\n

int32

\n

Total number of pages available.

\n
\n \n
\n
\n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

JSON:API data object for a simple search response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

The matching experimentation entities grouped by type.

\n
\n
\n
\n
\n
\n

dataset_records

\n
\n

[object]

\n

Matching dataset records. Present when dataset_records is included in filter.scope.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the record was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset this record belongs to.

\n
\n \n
\n
\n
\n
\n
\n

expected_output [required]

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the record.

\n
\n \n
\n
\n
\n
\n
\n

input [required]

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the record.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the record was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Matching datasets. Present when datasets is included in filter.scope.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was created.

\n
\n \n
\n
\n
\n
\n
\n

current_version [required]

\n
\n

int64

\n

Current version number of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

experiment_runs

\n
\n

[object]

\n

Matching experiment runs. Present when experiment_runs is included in filter.scope.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Aggregated metric data for this run.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp when the run was created.

\n
\n \n
\n
\n
\n
\n
\n

experiment_id

\n
\n

string

\n

Identifier of the experiment this run belongs to.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the experiment run.

\n
\n \n
\n
\n
\n
\n
\n

run_number

\n
\n

int32

\n

Sequential number of this run within the experiment.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

experiments

\n
\n

[object]

\n

Matching experiments. Present when experiments is included in filter.scope.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Pre-computed aggregate metrics for this experiment run, including eval score distributions, token costs, and error rates.

\n
\n \n
\n
\n
\n
\n
\n

author

\n
\n

object

\n

User data for the author of an experiment. Only present when include[user_data] is true.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n

handle

\n
\n

string

\n

Username or handle associated with the user's Datadog account.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

URL of the user's icon.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the user.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

config [required]

\n
\n

object

\n

Configuration parameters for the experiment.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_name

\n
\n

string

\n

Name of the dataset used in this experiment.\nOnly present when include[dataset_names] is true.

\n
\n \n
\n
\n
\n
\n
\n

dataset_version

\n
\n

int64

\n

Version of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

deleted_at

\n
\n

date-time

\n

Timestamp when the experiment was soft-deleted, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

string

\n

Error message describing why the experiment failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

experiment

\n
\n

string

\n

Logical name of the experiment, shared across all runs of the same pipeline.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

parent_experiment_id

\n
\n

string

\n

Identifier of the parent (baseline) experiment this experiment was run against, if any.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this experiment belongs to.

\n
\n \n
\n
\n
\n
\n
\n

run_count

\n
\n

int32

\n

Expected number of runs for this experiment.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Execution status of an Agent Observability experiment. \nAllowed enum values: running,completed,failed,interrupted

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

projects

\n
\n

[object]

\n

Matching projects. Present when projects is included in filter.scope.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability project.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the project was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the project.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the project was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the project.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Server-generated identifier for this search result.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for experimentation search and analytics operations. \nAllowed enum values: experimentation

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Pagination metadata for a simple search response.

\n
\n
\n
\n
\n
\n

page

\n
\n

object

\n

Page metadata.

\n
\n
\n
\n
\n
\n

current

\n
\n

int32

\n

Current page number.

\n
\n \n
\n
\n
\n
\n
\n

limit

\n
\n

int32

\n

Page size used for this response.

\n
\n \n
\n
\n
\n
\n
\n

total_count

\n
\n

int32

\n

Total number of matching results (capped at the maximum search limit).

\n
\n \n
\n
\n
\n
\n
\n

total_pages

\n
\n

int32

\n

Total number of pages available.

\n
\n \n
\n
\n
\n
\n
\n
" }, "400": { "json": { @@ -3030,7 +3030,7 @@ "after": "string" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of experiments.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability experiment.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Pre-computed aggregate metrics for this experiment run, including eval score distributions, token costs, and error rates.

\n
\n \n
\n
\n
\n
\n
\n

author

\n
\n

object

\n

User data for the author of an experiment. Only present when include[user_data] is true.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n

handle

\n
\n

string

\n

Username or handle associated with the user's Datadog account.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

URL of the user's icon.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the user.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

config [required]

\n
\n

object

\n

Configuration parameters for the experiment.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_name

\n
\n

string

\n

Name of the dataset used in this experiment.\nOnly present when include[dataset_names] is true.

\n
\n \n
\n
\n
\n
\n
\n

dataset_version

\n
\n

int64

\n

Version of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

deleted_at

\n
\n

date-time

\n

Timestamp when the experiment was soft-deleted, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

string

\n

Error message describing why the experiment failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

experiment

\n
\n

string

\n

Logical name of the experiment, shared across all runs of the same pipeline.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

parent_experiment_id

\n
\n

string

\n

Identifier of the parent (baseline) experiment this experiment was run against, if any.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this experiment belongs to.

\n
\n \n
\n
\n
\n
\n
\n

run_count

\n
\n

int32

\n

Expected number of runs for this experiment.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Execution status of an LLM Observability experiment. \nAllowed enum values: running,completed,failed,interrupted

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability experiment. \nAllowed enum values: experiments

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Pagination cursor metadata.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor for the next page of results.

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of experiments.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability experiment.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Pre-computed aggregate metrics for this experiment run, including eval score distributions, token costs, and error rates.

\n
\n \n
\n
\n
\n
\n
\n

author

\n
\n

object

\n

User data for the author of an experiment. Only present when include[user_data] is true.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n

handle

\n
\n

string

\n

Username or handle associated with the user's Datadog account.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

URL of the user's icon.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the user.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

config [required]

\n
\n

object

\n

Configuration parameters for the experiment.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_name

\n
\n

string

\n

Name of the dataset used in this experiment.\nOnly present when include[dataset_names] is true.

\n
\n \n
\n
\n
\n
\n
\n

dataset_version

\n
\n

int64

\n

Version of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

deleted_at

\n
\n

date-time

\n

Timestamp when the experiment was soft-deleted, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

string

\n

Error message describing why the experiment failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

experiment

\n
\n

string

\n

Logical name of the experiment, shared across all runs of the same pipeline.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

parent_experiment_id

\n
\n

string

\n

Identifier of the parent (baseline) experiment this experiment was run against, if any.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this experiment belongs to.

\n
\n \n
\n
\n
\n
\n
\n

run_count

\n
\n

int32

\n

Expected number of runs for this experiment.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Execution status of an Agent Observability experiment. \nAllowed enum values: running,completed,failed,interrupted

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability experiment. \nAllowed enum values: experiments

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Pagination cursor metadata.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor for the next page of results.

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -3136,7 +3136,7 @@ "type": "experiments" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an LLM Observability experiment.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability experiment.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Pre-computed aggregate metrics for this experiment run, including eval score distributions, token costs, and error rates.

\n
\n \n
\n
\n
\n
\n
\n

author

\n
\n

object

\n

User data for the author of an experiment. Only present when include[user_data] is true.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n

handle

\n
\n

string

\n

Username or handle associated with the user's Datadog account.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

URL of the user's icon.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the user.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

config [required]

\n
\n

object

\n

Configuration parameters for the experiment.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_name

\n
\n

string

\n

Name of the dataset used in this experiment.\nOnly present when include[dataset_names] is true.

\n
\n \n
\n
\n
\n
\n
\n

dataset_version

\n
\n

int64

\n

Version of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

deleted_at

\n
\n

date-time

\n

Timestamp when the experiment was soft-deleted, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

string

\n

Error message describing why the experiment failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

experiment

\n
\n

string

\n

Logical name of the experiment, shared across all runs of the same pipeline.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

parent_experiment_id

\n
\n

string

\n

Identifier of the parent (baseline) experiment this experiment was run against, if any.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this experiment belongs to.

\n
\n \n
\n
\n
\n
\n
\n

run_count

\n
\n

int32

\n

Expected number of runs for this experiment.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Execution status of an LLM Observability experiment. \nAllowed enum values: running,completed,failed,interrupted

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability experiment. \nAllowed enum values: experiments

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability experiment.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability experiment.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Pre-computed aggregate metrics for this experiment run, including eval score distributions, token costs, and error rates.

\n
\n \n
\n
\n
\n
\n
\n

author

\n
\n

object

\n

User data for the author of an experiment. Only present when include[user_data] is true.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n

handle

\n
\n

string

\n

Username or handle associated with the user's Datadog account.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

URL of the user's icon.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the user.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

config [required]

\n
\n

object

\n

Configuration parameters for the experiment.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_name

\n
\n

string

\n

Name of the dataset used in this experiment.\nOnly present when include[dataset_names] is true.

\n
\n \n
\n
\n
\n
\n
\n

dataset_version

\n
\n

int64

\n

Version of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

deleted_at

\n
\n

date-time

\n

Timestamp when the experiment was soft-deleted, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

string

\n

Error message describing why the experiment failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

experiment

\n
\n

string

\n

Logical name of the experiment, shared across all runs of the same pipeline.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

parent_experiment_id

\n
\n

string

\n

Identifier of the parent (baseline) experiment this experiment was run against, if any.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this experiment belongs to.

\n
\n \n
\n
\n
\n
\n
\n

run_count

\n
\n

int32

\n

Expected number of runs for this experiment.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Execution status of an Agent Observability experiment. \nAllowed enum values: running,completed,failed,interrupted

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability experiment. \nAllowed enum values: experiments

\n
\n \n
\n
\n
\n
" }, "201": { "json": { @@ -3171,7 +3171,7 @@ "type": "experiments" } }, - "html": "
\n
\n
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data [required]

\n
\n

object

\n

Data object for an LLM Observability experiment.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability experiment.

\n
\n
\n
\n
\n
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aggregate_data

\n
\n

object

\n

Pre-computed aggregate metrics for this experiment run, including eval score distributions, token costs, and error rates.

\n
\n \n
\n
\n
\n
\n
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author

\n
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object

\n

User data for the author of an experiment. Only present when include[user_data] is true.

\n
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email

\n
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string

\n

Email address of the user.

\n
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handle

\n
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string

\n

Username or handle associated with the user's Datadog account.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

URL of the user's icon.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the user.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

config [required]

\n
\n

object

\n

Configuration parameters for the experiment.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_name

\n
\n

string

\n

Name of the dataset used in this experiment.\nOnly present when include[dataset_names] is true.

\n
\n \n
\n
\n
\n
\n
\n

dataset_version

\n
\n

int64

\n

Version of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

deleted_at

\n
\n

date-time

\n

Timestamp when the experiment was soft-deleted, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

string

\n

Error message describing why the experiment failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

experiment

\n
\n

string

\n

Logical name of the experiment, shared across all runs of the same pipeline.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

parent_experiment_id

\n
\n

string

\n

Identifier of the parent (baseline) experiment this experiment was run against, if any.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this experiment belongs to.

\n
\n \n
\n
\n
\n
\n
\n

run_count

\n
\n

int32

\n

Expected number of runs for this experiment.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Execution status of an LLM Observability experiment. \nAllowed enum values: running,completed,failed,interrupted

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability experiment. \nAllowed enum values: experiments

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability experiment.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability experiment.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Pre-computed aggregate metrics for this experiment run, including eval score distributions, token costs, and error rates.

\n
\n \n
\n
\n
\n
\n
\n

author

\n
\n

object

\n

User data for the author of an experiment. Only present when include[user_data] is true.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n

handle

\n
\n

string

\n

Username or handle associated with the user's Datadog account.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

URL of the user's icon.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the user.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

config [required]

\n
\n

object

\n

Configuration parameters for the experiment.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_name

\n
\n

string

\n

Name of the dataset used in this experiment.\nOnly present when include[dataset_names] is true.

\n
\n \n
\n
\n
\n
\n
\n

dataset_version

\n
\n

int64

\n

Version of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

deleted_at

\n
\n

date-time

\n

Timestamp when the experiment was soft-deleted, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

string

\n

Error message describing why the experiment failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

experiment

\n
\n

string

\n

Logical name of the experiment, shared across all runs of the same pipeline.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

parent_experiment_id

\n
\n

string

\n

Identifier of the parent (baseline) experiment this experiment was run against, if any.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this experiment belongs to.

\n
\n \n
\n
\n
\n
\n
\n

run_count

\n
\n

int32

\n

Expected number of runs for this experiment.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Execution status of an Agent Observability experiment. \nAllowed enum values: running,completed,failed,interrupted

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability experiment. \nAllowed enum values: experiments

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -3263,7 +3263,7 @@ "type": "experiments" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating an LLM Observability experiment.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating an LLM Observability experiment.

\n
\n
\n
\n
\n
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config

\n
\n

object

\n

Configuration parameters for the experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id

\n
\n

string

\n

Identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_version

\n
\n

int64

\n

Version of the dataset to use. Defaults to the current version if not specified.

\n
\n \n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

ensure_unique

\n
\n

boolean

\n

Whether to ensure the experiment name is unique. Defaults to true.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

parent_experiment_id

\n
\n

string

\n

Identifier of the parent (baseline) experiment this experiment is run against.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this experiment belongs to.

\n
\n \n
\n
\n
\n
\n
\n

run_count

\n
\n

int32

\n

Number of runs configured for this experiment.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability experiment. \nAllowed enum values: experiments

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
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data [required]

\n
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object

\n

Data object for creating an Agent Observability experiment.

\n
\n
\n
\n
\n
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attributes [required]

\n
\n

object

\n

Attributes for creating an Agent Observability experiment.

\n
\n
\n
\n
\n
\n

config

\n
\n

object

\n

Configuration parameters for the experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id

\n
\n

string

\n

Identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_version

\n
\n

int64

\n

Version of the dataset to use. Defaults to the current version if not specified.

\n
\n \n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

ensure_unique

\n
\n

boolean

\n

Whether to ensure the experiment name is unique. Defaults to true.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

parent_experiment_id

\n
\n

string

\n

Identifier of the parent (baseline) experiment this experiment is run against.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this experiment belongs to.

\n
\n \n
\n
\n
\n
\n
\n

run_count

\n
\n

int32

\n

Number of runs configured for this experiment.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability experiment. \nAllowed enum values: experiments

\n
\n \n
\n
\n
\n
" } }, "DeleteLLMObsExperiments": { @@ -3352,7 +3352,7 @@ "type": "experiments" } }, - "html": "
\n
\n
\n
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data [required]

\n
\n

object

\n

Data object for deleting LLM Observability experiments.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for deleting LLM Observability experiments.

\n
\n
\n
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experiment_ids [required]

\n
\n

[string]

\n

List of experiment IDs to delete.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability experiment. \nAllowed enum values: experiments

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
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data [required]

\n
\n

object

\n

Data object for deleting Agent Observability experiments.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for deleting Agent Observability experiments.

\n
\n
\n
\n
\n
\n

experiment_ids [required]

\n
\n

[string]

\n

List of experiment IDs to delete.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability experiment. \nAllowed enum values: experiments

\n
\n \n
\n
\n
\n
" } }, "UpdateLLMObsExperiment": { @@ -3390,7 +3390,7 @@ "type": "experiments" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an LLM Observability experiment.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability experiment.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Pre-computed aggregate metrics for this experiment run, including eval score distributions, token costs, and error rates.

\n
\n \n
\n
\n
\n
\n
\n

author

\n
\n

object

\n

User data for the author of an experiment. Only present when include[user_data] is true.

\n
\n
\n
\n
\n
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email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
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\n
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handle

\n
\n

string

\n

Username or handle associated with the user's Datadog account.

\n
\n \n
\n
\n
\n
\n
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icon

\n
\n

string

\n

URL of the user's icon.

\n
\n \n
\n
\n
\n
\n
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id

\n
\n

string

\n

Unique identifier of the user.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

config [required]

\n
\n

object

\n

Configuration parameters for the experiment.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_name

\n
\n

string

\n

Name of the dataset used in this experiment.\nOnly present when include[dataset_names] is true.

\n
\n \n
\n
\n
\n
\n
\n

dataset_version

\n
\n

int64

\n

Version of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

deleted_at

\n
\n

date-time

\n

Timestamp when the experiment was soft-deleted, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

string

\n

Error message describing why the experiment failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

experiment

\n
\n

string

\n

Logical name of the experiment, shared across all runs of the same pipeline.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

parent_experiment_id

\n
\n

string

\n

Identifier of the parent (baseline) experiment this experiment was run against, if any.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this experiment belongs to.

\n
\n \n
\n
\n
\n
\n
\n

run_count

\n
\n

int32

\n

Expected number of runs for this experiment.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Execution status of an LLM Observability experiment. \nAllowed enum values: running,completed,failed,interrupted

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability experiment. \nAllowed enum values: experiments

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability experiment.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability experiment.

\n
\n
\n
\n
\n
\n

aggregate_data

\n
\n

object

\n

Pre-computed aggregate metrics for this experiment run, including eval score distributions, token costs, and error rates.

\n
\n \n
\n
\n
\n
\n
\n

author

\n
\n

object

\n

User data for the author of an experiment. Only present when include[user_data] is true.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n

handle

\n
\n

string

\n

Username or handle associated with the user's Datadog account.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

URL of the user's icon.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the user.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

config [required]

\n
\n

object

\n

Configuration parameters for the experiment.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was created.

\n
\n \n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

dataset_name

\n
\n

string

\n

Name of the dataset used in this experiment.\nOnly present when include[dataset_names] is true.

\n
\n \n
\n
\n
\n
\n
\n

dataset_version

\n
\n

int64

\n

Version of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

deleted_at

\n
\n

date-time

\n

Timestamp when the experiment was soft-deleted, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

string

\n

Error message describing why the experiment failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

experiment

\n
\n

string

\n

Logical name of the experiment, shared across all runs of the same pipeline.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

parent_experiment_id

\n
\n

string

\n

Identifier of the parent (baseline) experiment this experiment was run against, if any.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Identifier of the project this experiment belongs to.

\n
\n \n
\n
\n
\n
\n
\n

run_count

\n
\n

int32

\n

Expected number of runs for this experiment.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Execution status of an Agent Observability experiment. \nAllowed enum values: running,completed,failed,interrupted

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the experiment was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability experiment. \nAllowed enum values: experiments

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -3493,7 +3493,7 @@ "type": "experiments" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for updating an LLM Observability experiment.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for updating an LLM Observability experiment.

\n
\n
\n
\n
\n
\n

dataset_id

\n
\n

string

\n

Updated identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Updated description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

string

\n

Error message describing why the experiment failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Updated arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Updated name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Execution status of an LLM Observability experiment. \nAllowed enum values: running,completed,failed,interrupted

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability experiment. \nAllowed enum values: experiments

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for updating an Agent Observability experiment.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for updating an Agent Observability experiment.

\n
\n
\n
\n
\n
\n

dataset_id

\n
\n

string

\n

Updated identifier of the dataset used in this experiment.

\n
\n \n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Updated description of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

string

\n

Error message describing why the experiment failed, if applicable.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Updated arbitrary metadata associated with the experiment.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Updated name of the experiment.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Execution status of an Agent Observability experiment. \nAllowed enum values: running,completed,failed,interrupted

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability experiment. \nAllowed enum values: experiments

\n
\n \n
\n
\n
\n
" } }, "ListLLMObsExperimentEventsV1": { @@ -3558,7 +3558,7 @@ } ] }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of experiment spans with their evaluation metrics.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

An experiment span enriched with its associated evaluation metrics.

\n
\n
\n
\n
\n
\n

dataset_record_id

\n
\n

string

\n

ID of the dataset record this span evaluated.

\n
\n \n
\n
\n
\n
\n
\n

duration

\n
\n

double

\n

Duration of the span in nanoseconds.

\n
\n \n
\n
\n
\n
\n
\n

eval_metrics

\n
\n

[object]

\n

Evaluation metrics associated with this span.

\n
\n
\n
\n
\n
\n

assessment

\n
\n

enum

\n

Assessment result for an LLM Observability experiment metric. \nAllowed enum values: pass,fail

\n
\n \n
\n
\n
\n
\n
\n

boolean_value

\n
\n

boolean

\n

Boolean value. Present when metric_type is boolean.

\n
\n \n
\n
\n
\n
\n
\n

categorical_value

\n
\n

string

\n

Categorical value. Present when metric_type is categorical.

\n
\n \n
\n
\n
\n
\n
\n

eval_source_type

\n
\n

string

\n

Source type of the evaluation.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the evaluation metric event.

\n
\n \n
\n
\n
\n
\n
\n

json_value

\n
\n

object

\n

JSON value. Present when metric_type is json.

\n
\n \n
\n
\n
\n
\n
\n

label

\n
\n

string

\n

Label or name for the metric.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

metric_source

\n
\n

string

\n

Source of the metric. Either custom (user-submitted) or summary (experiment-level aggregate).

\n
\n \n
\n
\n
\n
\n
\n

metric_type

\n
\n

enum

\n

Type of metric recorded for an LLM Observability experiment. \nAllowed enum values: score,categorical,boolean,json

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Human-readable reasoning for the metric value.

\n
\n \n
\n
\n
\n
\n
\n

score_value

\n
\n

double

\n

Numeric score. Present when metric_type is score.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Span ID this metric is associated with.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

timestamp_ms

\n
\n

int64

\n

Timestamp when the metric was recorded, in milliseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Trace ID linking this metric to a span.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Metadata associated with an experiment span.

\n
\n
\n
\n
\n
\n

error

\n
\n

object

\n

Error details for an experiment span.

\n
\n
\n
\n
\n
\n

message

\n
\n

string

\n

Error message.

\n
\n \n
\n
\n
\n
\n
\n

stack

\n
\n

string

\n

Stack trace of the error.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

The error type or exception class name.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

expected_output

\n
\n

object

\n

Expected output for the span, used for evaluation.

\n
\n \n
\n
\n
\n
\n
\n

input

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

output

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

metrics

\n
\n

object

\n

Numeric metrics attached to the span.

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

double

\n
\n
\n \n
\n
\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the span.

\n
\n \n
\n
\n
\n
\n
\n

parent_id

\n
\n

string

\n

Parent span ID, if any.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Span ID.

\n
\n \n
\n
\n
\n
\n
\n

start_ns

\n
\n

int64

\n

Start time in nanoseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Status of the span. \nAllowed enum values: ok,error

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the span.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Trace ID.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for a span item in an experiment spans response. \nAllowed enum values: experiments

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of experiment spans with their evaluation metrics.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

An experiment span enriched with its associated evaluation metrics.

\n
\n
\n
\n
\n
\n

dataset_record_id

\n
\n

string

\n

ID of the dataset record this span evaluated.

\n
\n \n
\n
\n
\n
\n
\n

duration

\n
\n

double

\n

Duration of the span in nanoseconds.

\n
\n \n
\n
\n
\n
\n
\n

eval_metrics

\n
\n

[object]

\n

Evaluation metrics associated with this span.

\n
\n
\n
\n
\n
\n

assessment

\n
\n

enum

\n

Assessment result for an Agent Observability experiment metric. \nAllowed enum values: pass,fail

\n
\n \n
\n
\n
\n
\n
\n

boolean_value

\n
\n

boolean

\n

Boolean value. Present when metric_type is boolean.

\n
\n \n
\n
\n
\n
\n
\n

categorical_value

\n
\n

string

\n

Categorical value. Present when metric_type is categorical.

\n
\n \n
\n
\n
\n
\n
\n

eval_source_type

\n
\n

string

\n

Source type of the evaluation.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the evaluation metric event.

\n
\n \n
\n
\n
\n
\n
\n

json_value

\n
\n

object

\n

JSON value. Present when metric_type is json.

\n
\n \n
\n
\n
\n
\n
\n

label

\n
\n

string

\n

Label or name for the metric.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

metric_source

\n
\n

string

\n

Source of the metric. Either custom (user-submitted) or summary (experiment-level aggregate).

\n
\n \n
\n
\n
\n
\n
\n

metric_type

\n
\n

enum

\n

Type of metric recorded for an Agent Observability experiment. \nAllowed enum values: score,categorical,boolean,json

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Human-readable reasoning for the metric value.

\n
\n \n
\n
\n
\n
\n
\n

score_value

\n
\n

double

\n

Numeric score. Present when metric_type is score.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Span ID this metric is associated with.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

timestamp_ms

\n
\n

int64

\n

Timestamp when the metric was recorded, in milliseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Trace ID linking this metric to a span.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Metadata associated with an experiment span.

\n
\n
\n
\n
\n
\n

error

\n
\n

object

\n

Error details for an experiment span.

\n
\n
\n
\n
\n
\n

message

\n
\n

string

\n

Error message.

\n
\n \n
\n
\n
\n
\n
\n

stack

\n
\n

string

\n

Stack trace of the error.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

The error type or exception class name.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

expected_output

\n
\n

object

\n

Expected output for the span, used for evaluation.

\n
\n \n
\n
\n
\n
\n
\n

input

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

output

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

metrics

\n
\n

object

\n

Numeric metrics attached to the span.

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

double

\n
\n
\n \n
\n
\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the span.

\n
\n \n
\n
\n
\n
\n
\n

parent_id

\n
\n

string

\n

Parent span ID, if any.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Span ID.

\n
\n \n
\n
\n
\n
\n
\n

start_ns

\n
\n

int64

\n

Start time in nanoseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Status of the span. \nAllowed enum values: ok,error

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the span.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Trace ID.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for a span item in an experiment spans response. \nAllowed enum values: experiments

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -3831,7 +3831,7 @@ "type": "events" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for pushing experiment events.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for pushing experiment events including spans and metrics.

\n
\n
\n
\n
\n
\n

metrics

\n
\n

[object]

\n

List of metrics to push for the experiment.

\n
\n
\n
\n
\n
\n

assessment

\n
\n

enum

\n

Assessment result for an LLM Observability experiment metric. \nAllowed enum values: pass,fail

\n
\n \n
\n
\n
\n
\n
\n

boolean_value

\n
\n

boolean

\n

Boolean value. Used when metric_type is boolean.

\n
\n \n
\n
\n
\n
\n
\n

categorical_value

\n
\n

string

\n

Categorical value. Used when metric_type is categorical.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

object

\n

Error details for an experiment metric evaluation.

\n
\n
\n
\n
\n
\n

message

\n
\n

string

\n

Error message associated with the metric evaluation.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

json_value

\n
\n

object

\n

JSON value. Used when metric_type is json.

\n
\n \n
\n
\n
\n
\n
\n

label [required]

\n
\n

string

\n

Label or name for the metric.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

metric_type [required]

\n
\n

enum

\n

Type of metric recorded for an LLM Observability experiment. \nAllowed enum values: score,categorical,boolean,json

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Human-readable reasoning for the metric value.

\n
\n \n
\n
\n
\n
\n
\n

score_value

\n
\n

double

\n

Numeric score value. Used when metric_type is score.

\n
\n \n
\n
\n
\n
\n
\n

span_id [required]

\n
\n

string

\n

The ID of the span this metric measures.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

List of tags associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

timestamp_ms [required]

\n
\n

int64

\n

Timestamp when the metric was recorded, in milliseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

spans

\n
\n

[object]

\n

List of spans to push for the experiment.

\n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Dataset ID associated with this span.

\n
\n \n
\n
\n
\n
\n
\n

duration [required]

\n
\n

int64

\n

Duration of the span in nanoseconds.

\n
\n \n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Metadata associated with an experiment span.

\n
\n
\n
\n
\n
\n

error

\n
\n

object

\n

Error details for an experiment span.

\n
\n
\n
\n
\n
\n

message

\n
\n

string

\n

Error message.

\n
\n \n
\n
\n
\n
\n
\n

stack

\n
\n

string

\n

Stack trace of the error.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

The error type or exception class name.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

expected_output

\n
\n

object

\n

Expected output for the span, used for evaluation.

\n
\n \n
\n
\n
\n
\n
\n

input

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

output

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the span.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Project ID associated with this span.

\n
\n \n
\n
\n
\n
\n
\n

span_id [required]

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

start_ns [required]

\n
\n

int64

\n

Start time of the span in nanoseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

status [required]

\n
\n

enum

\n

Status of the span. \nAllowed enum values: ok,error

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

List of tags associated with the span.

\n
\n \n
\n
\n
\n
\n
\n

trace_id [required]

\n
\n

string

\n

Trace ID for the span.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for LLM Observability experiment events. \nAllowed enum values: events

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for pushing experiment events.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for pushing experiment events including spans and metrics.

\n
\n
\n
\n
\n
\n

metrics

\n
\n

[object]

\n

List of metrics to push for the experiment.

\n
\n
\n
\n
\n
\n

assessment

\n
\n

enum

\n

Assessment result for an Agent Observability experiment metric. \nAllowed enum values: pass,fail

\n
\n \n
\n
\n
\n
\n
\n

boolean_value

\n
\n

boolean

\n

Boolean value. Used when metric_type is boolean.

\n
\n \n
\n
\n
\n
\n
\n

categorical_value

\n
\n

string

\n

Categorical value. Used when metric_type is categorical.

\n
\n \n
\n
\n
\n
\n
\n

error

\n
\n

object

\n

Error details for an experiment metric evaluation.

\n
\n
\n
\n
\n
\n

message

\n
\n

string

\n

Error message associated with the metric evaluation.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

json_value

\n
\n

object

\n

JSON value. Used when metric_type is json.

\n
\n \n
\n
\n
\n
\n
\n

label [required]

\n
\n

string

\n

Label or name for the metric.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

metric_type [required]

\n
\n

enum

\n

Type of metric recorded for an Agent Observability experiment. \nAllowed enum values: score,categorical,boolean,json

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Human-readable reasoning for the metric value.

\n
\n \n
\n
\n
\n
\n
\n

score_value

\n
\n

double

\n

Numeric score value. Used when metric_type is score.

\n
\n \n
\n
\n
\n
\n
\n

span_id [required]

\n
\n

string

\n

The ID of the span this metric measures.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

List of tags associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

timestamp_ms [required]

\n
\n

int64

\n

Timestamp when the metric was recorded, in milliseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

spans

\n
\n

[object]

\n

List of spans to push for the experiment.

\n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Dataset ID associated with this span.

\n
\n \n
\n
\n
\n
\n
\n

duration [required]

\n
\n

int64

\n

Duration of the span in nanoseconds.

\n
\n \n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Metadata associated with an experiment span.

\n
\n
\n
\n
\n
\n

error

\n
\n

object

\n

Error details for an experiment span.

\n
\n
\n
\n
\n
\n

message

\n
\n

string

\n

Error message.

\n
\n \n
\n
\n
\n
\n
\n

stack

\n
\n

string

\n

Stack trace of the error.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

The error type or exception class name.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

expected_output

\n
\n

object

\n

Expected output for the span, used for evaluation.

\n
\n \n
\n
\n
\n
\n
\n

input

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

output

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the span.

\n
\n \n
\n
\n
\n
\n
\n

project_id [required]

\n
\n

string

\n

Project ID associated with this span.

\n
\n \n
\n
\n
\n
\n
\n

span_id [required]

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

start_ns [required]

\n
\n

int64

\n

Start time of the span in nanoseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

status [required]

\n
\n

enum

\n

Status of the span. \nAllowed enum values: ok,error

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

List of tags associated with the span.

\n
\n \n
\n
\n
\n
\n
\n

trace_id [required]

\n
\n

string

\n

Trace ID for the span.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for Agent Observability experiment events. \nAllowed enum values: events

\n
\n \n
\n
\n
\n
" } }, "ListLLMObsIntegrationAccounts": { @@ -4402,7 +4402,7 @@ "after": "string" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of projects.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability project.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the project was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the project.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the project was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the project.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Pagination cursor metadata.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor for the next page of results.

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of projects.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability project.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the project was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the project.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the project was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the project.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Pagination cursor metadata.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor for the next page of results.

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -4488,7 +4488,7 @@ "type": "projects" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an LLM Observability project.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability project.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the project was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the project.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the project was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the project.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability project.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability project.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the project was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the project.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the project was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the project.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
" }, "201": { "json": { @@ -4503,7 +4503,7 @@ "type": "projects" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an LLM Observability project.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability project.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the project was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the project.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the project was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the project.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability project.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability project.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the project was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the project.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the project was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the project.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -4586,7 +4586,7 @@ "type": "projects" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating an LLM Observability project.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating an LLM Observability project.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the project.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating an Agent Observability project.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating an Agent Observability project.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the project.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
" } }, "DeleteLLMObsProjects": { @@ -4675,7 +4675,7 @@ "type": "projects" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for deleting LLM Observability projects.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for deleting LLM Observability projects.

\n
\n
\n
\n
\n
\n

project_ids [required]

\n
\n

[string]

\n

List of project IDs to delete.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for deleting Agent Observability projects.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for deleting Agent Observability projects.

\n
\n
\n
\n
\n
\n

project_ids [required]

\n
\n

[string]

\n

List of project IDs to delete.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
" } }, "UpdateLLMObsProject": { @@ -4693,7 +4693,7 @@ "type": "projects" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an LLM Observability project.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability project.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the project was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the project.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the project was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the project.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability project.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability project.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the project was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the project.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the project was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the project.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -4792,7 +4792,7 @@ "type": "projects" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for updating an LLM Observability project.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for updating an LLM Observability project.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Updated description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Updated name of the project.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for updating an Agent Observability project.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for updating an Agent Observability project.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Updated description of the project.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Updated name of the project.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability project. \nAllowed enum values: projects

\n
\n \n
\n
\n
\n
" } }, "ListLLMObsPrompts": { @@ -4818,7 +4818,7 @@ } ] }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of LLM Observability prompts.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability prompt registry entry.

\n
\n
\n
\n
\n
\n

author

\n
\n

string

\n

UUID of the user who authored the prompt.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp when the prompt was created.

\n
\n \n
\n
\n
\n
\n
\n

created_from [required]

\n
\n

string

\n

Source that created the prompt, such as ui-registry, sdk-registry, or sdk-instrumentation.

\n
\n \n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Datasets observed in runs associated with this prompt.

\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

extracted_from

\n
\n

string

\n

Source prompt from which this prompt was extracted, when applicable.

\n
\n \n
\n
\n
\n
\n
\n

in_registry [required]

\n
\n

boolean

\n

Whether the prompt is a registry entry (as opposed to a code-discovered prompt).

\n
\n \n
\n
\n
\n
\n
\n

last_seen_at

\n
\n

date-time

\n

Timestamp of the most recent observed run of this prompt.

\n
\n \n
\n
\n
\n
\n
\n

last_version_created_at

\n
\n

date-time

\n

Timestamp when the most recent version of the prompt was created.

\n
\n \n
\n
\n
\n
\n
\n

ml_app

\n
\n

string

\n

The ML application this prompt is associated with.

\n
\n \n
\n
\n
\n
\n
\n

ml_apps

\n
\n

[string]

\n

ML applications observed running this prompt.

\n
\n \n
\n
\n
\n
\n
\n

num_versions [required]

\n
\n

int64

\n

Number of versions of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

source [required]

\n
\n

enum

\n

Whether the prompt was created from the registry or discovered from observed LLM calls. \nAllowed enum values: registry,code

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags observed on runs of this prompt.

\n
\n \n
\n
\n
\n
\n
\n

title

\n
\n

string

\n

Title of the prompt.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability prompt. \nAllowed enum values: prompt-templates

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of Agent Observability prompts.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability prompt registry entry.

\n
\n
\n
\n
\n
\n

author

\n
\n

string

\n

UUID of the user who authored the prompt.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp when the prompt was created.

\n
\n \n
\n
\n
\n
\n
\n

created_from [required]

\n
\n

string

\n

Source that created the prompt, such as ui-registry, sdk-registry, or sdk-instrumentation.

\n
\n \n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Datasets observed in runs associated with this prompt.

\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

extracted_from

\n
\n

string

\n

Source prompt from which this prompt was extracted, when applicable.

\n
\n \n
\n
\n
\n
\n
\n

in_registry [required]

\n
\n

boolean

\n

Whether the prompt is a registry entry (as opposed to a code-discovered prompt).

\n
\n \n
\n
\n
\n
\n
\n

last_seen_at

\n
\n

date-time

\n

Timestamp of the most recent observed run of this prompt.

\n
\n \n
\n
\n
\n
\n
\n

last_version_created_at

\n
\n

date-time

\n

Timestamp when the most recent version of the prompt was created.

\n
\n \n
\n
\n
\n
\n
\n

ml_app

\n
\n

string

\n

The ML application this prompt is associated with.

\n
\n \n
\n
\n
\n
\n
\n

ml_apps

\n
\n

[string]

\n

ML applications observed running this prompt.

\n
\n \n
\n
\n
\n
\n
\n

num_versions [required]

\n
\n

int64

\n

Number of versions of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

source [required]

\n
\n

enum

\n

Whether the prompt was created from the registry or discovered from observed LLM calls. \nAllowed enum values: registry,code

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags observed on runs of this prompt.

\n
\n \n
\n
\n
\n
\n
\n

title

\n
\n

string

\n

Title of the prompt.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability prompt. \nAllowed enum values: prompt-templates

\n
\n \n
\n
\n
\n
" }, "401": { "json": { @@ -4892,7 +4892,7 @@ "type": "prompt-templates" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an LLM Observability prompt.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability prompt registry entry.

\n
\n
\n
\n
\n
\n

author

\n
\n

string

\n

UUID of the user who authored the prompt.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp when the prompt was created.

\n
\n \n
\n
\n
\n
\n
\n

created_from [required]

\n
\n

string

\n

Source that created the prompt, such as ui-registry, sdk-registry, or sdk-instrumentation.

\n
\n \n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Datasets observed in runs associated with this prompt.

\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

extracted_from

\n
\n

string

\n

Source prompt from which this prompt was extracted, when applicable.

\n
\n \n
\n
\n
\n
\n
\n

in_registry [required]

\n
\n

boolean

\n

Whether the prompt is a registry entry (as opposed to a code-discovered prompt).

\n
\n \n
\n
\n
\n
\n
\n

last_seen_at

\n
\n

date-time

\n

Timestamp of the most recent observed run of this prompt.

\n
\n \n
\n
\n
\n
\n
\n

last_version_created_at

\n
\n

date-time

\n

Timestamp when the most recent version of the prompt was created.

\n
\n \n
\n
\n
\n
\n
\n

ml_app

\n
\n

string

\n

The ML application this prompt is associated with.

\n
\n \n
\n
\n
\n
\n
\n

ml_apps

\n
\n

[string]

\n

ML applications observed running this prompt.

\n
\n \n
\n
\n
\n
\n
\n

num_versions [required]

\n
\n

int64

\n

Number of versions of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

source [required]

\n
\n

enum

\n

Whether the prompt was created from the registry or discovered from observed LLM calls. \nAllowed enum values: registry,code

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags observed on runs of this prompt.

\n
\n \n
\n
\n
\n
\n
\n

title

\n
\n

string

\n

Title of the prompt.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability prompt. \nAllowed enum values: prompt-templates

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability prompt.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability prompt registry entry.

\n
\n
\n
\n
\n
\n

author

\n
\n

string

\n

UUID of the user who authored the prompt.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp when the prompt was created.

\n
\n \n
\n
\n
\n
\n
\n

created_from [required]

\n
\n

string

\n

Source that created the prompt, such as ui-registry, sdk-registry, or sdk-instrumentation.

\n
\n \n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Datasets observed in runs associated with this prompt.

\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

extracted_from

\n
\n

string

\n

Source prompt from which this prompt was extracted, when applicable.

\n
\n \n
\n
\n
\n
\n
\n

in_registry [required]

\n
\n

boolean

\n

Whether the prompt is a registry entry (as opposed to a code-discovered prompt).

\n
\n \n
\n
\n
\n
\n
\n

last_seen_at

\n
\n

date-time

\n

Timestamp of the most recent observed run of this prompt.

\n
\n \n
\n
\n
\n
\n
\n

last_version_created_at

\n
\n

date-time

\n

Timestamp when the most recent version of the prompt was created.

\n
\n \n
\n
\n
\n
\n
\n

ml_app

\n
\n

string

\n

The ML application this prompt is associated with.

\n
\n \n
\n
\n
\n
\n
\n

ml_apps

\n
\n

[string]

\n

ML applications observed running this prompt.

\n
\n \n
\n
\n
\n
\n
\n

num_versions [required]

\n
\n

int64

\n

Number of versions of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

source [required]

\n
\n

enum

\n

Whether the prompt was created from the registry or discovered from observed LLM calls. \nAllowed enum values: registry,code

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags observed on runs of this prompt.

\n
\n \n
\n
\n
\n
\n
\n

title

\n
\n

string

\n

Title of the prompt.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability prompt. \nAllowed enum values: prompt-templates

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -5004,7 +5004,7 @@ "type": "prompt-templates" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating an LLM Observability prompt.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating an LLM Observability prompt and its first version. prompt_id and template are required; all other attributes are optional.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Optional description of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

env_ids

\n
\n

[string]

\n

Optional feature-flag environment UUIDs the service attempts to enable and configure to use the first version as their default after creation.

\n
\n \n
\n
\n
\n
\n
\n

labels

\n
\n

[string]

\n

DEPRECATED: Optional labels to attach to the first version. Do not use this attribute for new integrations.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier for the new prompt.

\n
\n \n
\n
\n
\n
\n
\n

template [required]

\n
\n

 <oneOf>

\n

A text template or a list of chat messages.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A text prompt template.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

[object]

\n

A chat prompt template.

\n
\n
\n
\n
\n
\n

content [required]

\n
\n

string

\n

Content of the message.

\n
\n \n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message (for example system, user, or assistant).

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

title

\n
\n

string

\n

Optional title of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

user_version

\n
\n

string

\n

Optional user-supplied version identifier for the first version.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability prompt. \nAllowed enum values: prompt-templates

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating an Agent Observability prompt.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating an Agent Observability prompt and its first version. prompt_id and template are required; all other attributes are optional.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Optional description of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

env_ids

\n
\n

[string]

\n

Optional feature-flag environment UUIDs the service attempts to enable and configure to use the first version as their default after creation.

\n
\n \n
\n
\n
\n
\n
\n

labels

\n
\n

[string]

\n

DEPRECATED: Optional labels to attach to the first version. Do not use this attribute for new integrations.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier for the new prompt.

\n
\n \n
\n
\n
\n
\n
\n

template [required]

\n
\n

 <oneOf>

\n

A text template or a list of chat messages.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A text prompt template.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

[object]

\n

A chat prompt template.

\n
\n
\n
\n
\n
\n

content [required]

\n
\n

string

\n

Content of the message.

\n
\n \n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message (for example system, user, or assistant).

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

title

\n
\n

string

\n

Optional title of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

user_version

\n
\n

string

\n

Optional user-supplied version identifier for the first version.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability prompt. \nAllowed enum values: prompt-templates

\n
\n \n
\n
\n
\n
" } }, "DeleteLLMObsPrompt": { @@ -5020,7 +5020,7 @@ "type": "prompt-templates" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object confirming that an LLM Observability prompt was deleted.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes confirming that an LLM Observability prompt was deleted.

\n
\n
\n
\n
\n
\n

deleted_at [required]

\n
\n

date-time

\n

Timestamp when the prompt was deleted.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier of the deleted prompt.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the deleted prompt.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability prompt. \nAllowed enum values: prompt-templates

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object confirming that an Agent Observability prompt was deleted.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes confirming that an Agent Observability prompt was deleted.

\n
\n
\n
\n
\n
\n

deleted_at [required]

\n
\n

date-time

\n

Timestamp when the prompt was deleted.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier of the deleted prompt.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the deleted prompt.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability prompt. \nAllowed enum values: prompt-templates

\n
\n \n
\n
\n
\n
" }, "401": { "json": { @@ -5115,7 +5115,7 @@ "type": "prompt-templates" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for a flattened LLM Observability prompt version returned for SDK consumption.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of a flattened prompt version returned for SDK consumption. Exactly one of template and chat_template is returned.

\n
\n
\n
\n
\n
\n

chat_template

\n
\n

[object]

\n

Chat template for this prompt version, as a list of role and content messages. Omitted for text templates.

\n
\n
\n
\n
\n
\n

content [required]

\n
\n

string

\n

Content of the message.

\n
\n \n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message (for example system, user, or assistant).

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

labels

\n
\n

[string]

\n

DEPRECATED: Labels attached to the selected version.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id

\n
\n

string

\n

Customer-provided identifier of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

prompt_version_uuid

\n
\n

string

\n

Unique identifier of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

template

\n
\n

string

\n

Text template for this prompt version. Omitted for chat templates.

\n
\n \n
\n
\n
\n
\n
\n

version

\n
\n

string

\n

Version identifier for this prompt version. This is the sequential version number unless a user-supplied version identifier was set, in which case that identifier is used instead.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability prompt. \nAllowed enum values: prompt-templates

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for a flattened Agent Observability prompt version returned for SDK consumption.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of a flattened prompt version returned for SDK consumption. Exactly one of template and chat_template is returned.

\n
\n
\n
\n
\n
\n

chat_template

\n
\n

[object]

\n

Chat template for this prompt version, as a list of role and content messages. Omitted for text templates.

\n
\n
\n
\n
\n
\n

content [required]

\n
\n

string

\n

Content of the message.

\n
\n \n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message (for example system, user, or assistant).

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

labels

\n
\n

[string]

\n

DEPRECATED: Labels attached to the selected version.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id

\n
\n

string

\n

Customer-provided identifier of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

prompt_version_uuid

\n
\n

string

\n

Unique identifier of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

template

\n
\n

string

\n

Text template for this prompt version. Omitted for chat templates.

\n
\n \n
\n
\n
\n
\n
\n

version

\n
\n

string

\n

Version identifier for this prompt version. This is the sequential version number unless a user-supplied version identifier was set, in which case that identifier is used instead.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability prompt. \nAllowed enum values: prompt-templates

\n
\n \n
\n
\n
\n
" }, "401": { "json": { @@ -5207,7 +5207,7 @@ "type": "prompt-templates" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an LLM Observability prompt.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability prompt registry entry.

\n
\n
\n
\n
\n
\n

author

\n
\n

string

\n

UUID of the user who authored the prompt.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp when the prompt was created.

\n
\n \n
\n
\n
\n
\n
\n

created_from [required]

\n
\n

string

\n

Source that created the prompt, such as ui-registry, sdk-registry, or sdk-instrumentation.

\n
\n \n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Datasets observed in runs associated with this prompt.

\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

extracted_from

\n
\n

string

\n

Source prompt from which this prompt was extracted, when applicable.

\n
\n \n
\n
\n
\n
\n
\n

in_registry [required]

\n
\n

boolean

\n

Whether the prompt is a registry entry (as opposed to a code-discovered prompt).

\n
\n \n
\n
\n
\n
\n
\n

last_seen_at

\n
\n

date-time

\n

Timestamp of the most recent observed run of this prompt.

\n
\n \n
\n
\n
\n
\n
\n

last_version_created_at

\n
\n

date-time

\n

Timestamp when the most recent version of the prompt was created.

\n
\n \n
\n
\n
\n
\n
\n

ml_app

\n
\n

string

\n

The ML application this prompt is associated with.

\n
\n \n
\n
\n
\n
\n
\n

ml_apps

\n
\n

[string]

\n

ML applications observed running this prompt.

\n
\n \n
\n
\n
\n
\n
\n

num_versions [required]

\n
\n

int64

\n

Number of versions of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

source [required]

\n
\n

enum

\n

Whether the prompt was created from the registry or discovered from observed LLM calls. \nAllowed enum values: registry,code

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags observed on runs of this prompt.

\n
\n \n
\n
\n
\n
\n
\n

title

\n
\n

string

\n

Title of the prompt.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability prompt. \nAllowed enum values: prompt-templates

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability prompt.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability prompt registry entry.

\n
\n
\n
\n
\n
\n

author

\n
\n

string

\n

UUID of the user who authored the prompt.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp when the prompt was created.

\n
\n \n
\n
\n
\n
\n
\n

created_from [required]

\n
\n

string

\n

Source that created the prompt, such as ui-registry, sdk-registry, or sdk-instrumentation.

\n
\n \n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Datasets observed in runs associated with this prompt.

\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

extracted_from

\n
\n

string

\n

Source prompt from which this prompt was extracted, when applicable.

\n
\n \n
\n
\n
\n
\n
\n

in_registry [required]

\n
\n

boolean

\n

Whether the prompt is a registry entry (as opposed to a code-discovered prompt).

\n
\n \n
\n
\n
\n
\n
\n

last_seen_at

\n
\n

date-time

\n

Timestamp of the most recent observed run of this prompt.

\n
\n \n
\n
\n
\n
\n
\n

last_version_created_at

\n
\n

date-time

\n

Timestamp when the most recent version of the prompt was created.

\n
\n \n
\n
\n
\n
\n
\n

ml_app

\n
\n

string

\n

The ML application this prompt is associated with.

\n
\n \n
\n
\n
\n
\n
\n

ml_apps

\n
\n

[string]

\n

ML applications observed running this prompt.

\n
\n \n
\n
\n
\n
\n
\n

num_versions [required]

\n
\n

int64

\n

Number of versions of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

source [required]

\n
\n

enum

\n

Whether the prompt was created from the registry or discovered from observed LLM calls. \nAllowed enum values: registry,code

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags observed on runs of this prompt.

\n
\n \n
\n
\n
\n
\n
\n

title

\n
\n

string

\n

Title of the prompt.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the prompt.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability prompt. \nAllowed enum values: prompt-templates

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -5306,7 +5306,7 @@ "type": "prompt-templates" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for updating an LLM Observability prompt.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for updating an LLM Observability prompt. At least one of title or description must be provided; both attributes are optional individually.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Optional new description for the prompt.

\n
\n \n
\n
\n
\n
\n
\n

title

\n
\n

string

\n

Optional new title for the prompt.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability prompt. \nAllowed enum values: prompt-templates

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for updating an Agent Observability prompt.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for updating an Agent Observability prompt. At least one of title or description must be provided; both attributes are optional individually.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Optional new description for the prompt.

\n
\n \n
\n
\n
\n
\n
\n

title

\n
\n

string

\n

Optional new title for the prompt.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability prompt. \nAllowed enum values: prompt-templates

\n
\n \n
\n
\n
\n
" } }, "ListLLMObsPromptVersions": { @@ -5342,7 +5342,7 @@ } ] }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

Prompt versions ordered from newest to oldest.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of a prompt version returned in a list, excluding its template.

\n
\n
\n
\n
\n
\n

author

\n
\n

string

\n

UUID of the user who authored this version.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp stored on this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Datasets observed in runs associated with this prompt version.

\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of this version.

\n
\n \n
\n
\n
\n
\n
\n

labels

\n
\n

[string]

\n

DEPRECATED: Labels attached to this version (for example development, staging, production).

\n
\n \n
\n
\n
\n
\n
\n

last_seen_at

\n
\n

date-time

\n

Timestamp of the most recent observed run of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

ml_app

\n
\n

string

\n

The ML application this prompt is associated with.

\n
\n \n
\n
\n
\n
\n
\n

ml_apps

\n
\n

[string]

\n

ML applications observed running this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier of the parent prompt.

\n
\n \n
\n
\n
\n
\n
\n

prompt_uuid [required]

\n
\n

string

\n

Unique identifier of the parent prompt.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags observed on runs of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

user_version

\n
\n

string

\n

User-supplied identifier for this version.

\n
\n \n
\n
\n
\n
\n
\n

version [required]

\n
\n

int64

\n

Sequential version number.

\n
\n \n
\n
\n
\n
\n
\n

version_created_at

\n
\n

date-time

\n

Timestamp when this version was created.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the prompt version.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability prompt version. \nAllowed enum values: prompt-template-versions

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

Prompt versions ordered from newest to oldest.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of a prompt version returned in a list, excluding its template.

\n
\n
\n
\n
\n
\n

author

\n
\n

string

\n

UUID of the user who authored this version.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp stored on this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Datasets observed in runs associated with this prompt version.

\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of this version.

\n
\n \n
\n
\n
\n
\n
\n

labels

\n
\n

[string]

\n

DEPRECATED: Labels attached to this version (for example development, staging, production).

\n
\n \n
\n
\n
\n
\n
\n

last_seen_at

\n
\n

date-time

\n

Timestamp of the most recent observed run of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

ml_app

\n
\n

string

\n

The ML application this prompt is associated with.

\n
\n \n
\n
\n
\n
\n
\n

ml_apps

\n
\n

[string]

\n

ML applications observed running this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier of the parent prompt.

\n
\n \n
\n
\n
\n
\n
\n

prompt_uuid [required]

\n
\n

string

\n

Unique identifier of the parent prompt.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags observed on runs of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

user_version

\n
\n

string

\n

User-supplied identifier for this version.

\n
\n \n
\n
\n
\n
\n
\n

version [required]

\n
\n

int64

\n

Sequential version number.

\n
\n \n
\n
\n
\n
\n
\n

version_created_at

\n
\n

date-time

\n

Timestamp when this version was created.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the prompt version.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability prompt version. \nAllowed enum values: prompt-template-versions

\n
\n \n
\n
\n
\n
" }, "401": { "json": { @@ -5423,7 +5423,7 @@ "type": "prompt-template-versions" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for a specific version of an LLM Observability prompt.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of a specific version of an LLM Observability prompt.

\n
\n
\n
\n
\n
\n

author

\n
\n

string

\n

UUID of the user who authored this version.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp stored on this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Datasets observed in runs associated with this prompt version.

\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of this version.

\n
\n \n
\n
\n
\n
\n
\n

labels

\n
\n

[string]

\n

DEPRECATED: Labels attached to this version (for example development, staging, production).

\n
\n \n
\n
\n
\n
\n
\n

last_seen_at

\n
\n

date-time

\n

Timestamp of the most recent observed run of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

ml_app

\n
\n

string

\n

The ML application this prompt is associated with.

\n
\n \n
\n
\n
\n
\n
\n

ml_apps

\n
\n

[string]

\n

ML applications observed running this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier of the parent prompt.

\n
\n \n
\n
\n
\n
\n
\n

prompt_uuid [required]

\n
\n

string

\n

Unique identifier of the parent prompt.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags observed on runs of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

template [required]

\n
\n

 <oneOf>

\n

A text template or a list of chat messages.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A text prompt template.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

[object]

\n

A chat prompt template.

\n
\n
\n
\n
\n
\n

content [required]

\n
\n

string

\n

Content of the message.

\n
\n \n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message (for example system, user, or assistant).

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

user_version

\n
\n

string

\n

User-supplied identifier for this version.

\n
\n \n
\n
\n
\n
\n
\n

version [required]

\n
\n

int64

\n

Sequential version number.

\n
\n \n
\n
\n
\n
\n
\n

version_created_at

\n
\n

date-time

\n

Timestamp when this version was created.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the prompt version.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability prompt version. \nAllowed enum values: prompt-template-versions

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for a specific version of an Agent Observability prompt.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of a specific version of an Agent Observability prompt.

\n
\n
\n
\n
\n
\n

author

\n
\n

string

\n

UUID of the user who authored this version.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp stored on this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Datasets observed in runs associated with this prompt version.

\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of this version.

\n
\n \n
\n
\n
\n
\n
\n

labels

\n
\n

[string]

\n

DEPRECATED: Labels attached to this version (for example development, staging, production).

\n
\n \n
\n
\n
\n
\n
\n

last_seen_at

\n
\n

date-time

\n

Timestamp of the most recent observed run of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

ml_app

\n
\n

string

\n

The ML application this prompt is associated with.

\n
\n \n
\n
\n
\n
\n
\n

ml_apps

\n
\n

[string]

\n

ML applications observed running this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier of the parent prompt.

\n
\n \n
\n
\n
\n
\n
\n

prompt_uuid [required]

\n
\n

string

\n

Unique identifier of the parent prompt.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags observed on runs of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

template [required]

\n
\n

 <oneOf>

\n

A text template or a list of chat messages.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A text prompt template.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

[object]

\n

A chat prompt template.

\n
\n
\n
\n
\n
\n

content [required]

\n
\n

string

\n

Content of the message.

\n
\n \n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message (for example system, user, or assistant).

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

user_version

\n
\n

string

\n

User-supplied identifier for this version.

\n
\n \n
\n
\n
\n
\n
\n

version [required]

\n
\n

int64

\n

Sequential version number.

\n
\n \n
\n
\n
\n
\n
\n

version_created_at

\n
\n

date-time

\n

Timestamp when this version was created.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the prompt version.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability prompt version. \nAllowed enum values: prompt-template-versions

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -5532,7 +5532,7 @@ "type": "prompt-template-versions" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating an LLM Observability prompt version.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating a new version of an LLM Observability prompt. template is required; all other attributes are optional.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Optional description of this version.

\n
\n \n
\n
\n
\n
\n
\n

env_ids

\n
\n

[string]

\n

Optional feature-flag environment UUIDs the service attempts to enable and configure to use this version as their default after creation.

\n
\n \n
\n
\n
\n
\n
\n

labels

\n
\n

[string]

\n

DEPRECATED: Optional labels to attach to this version. Do not use this attribute for new integrations.

\n
\n \n
\n
\n
\n
\n
\n

template [required]

\n
\n

 <oneOf>

\n

A text template or a list of chat messages.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A text prompt template.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

[object]

\n

A chat prompt template.

\n
\n
\n
\n
\n
\n

content [required]

\n
\n

string

\n

Content of the message.

\n
\n \n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message (for example system, user, or assistant).

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

user_version

\n
\n

string

\n

Optional user-supplied version identifier for this version.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability prompt version. \nAllowed enum values: prompt-template-versions

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating an Agent Observability prompt version.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating a new version of an Agent Observability prompt. template is required; all other attributes are optional.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Optional description of this version.

\n
\n \n
\n
\n
\n
\n
\n

env_ids

\n
\n

[string]

\n

Optional feature-flag environment UUIDs the service attempts to enable and configure to use this version as their default after creation.

\n
\n \n
\n
\n
\n
\n
\n

labels

\n
\n

[string]

\n

DEPRECATED: Optional labels to attach to this version. Do not use this attribute for new integrations.

\n
\n \n
\n
\n
\n
\n
\n

template [required]

\n
\n

 <oneOf>

\n

A text template or a list of chat messages.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A text prompt template.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

[object]

\n

A chat prompt template.

\n
\n
\n
\n
\n
\n

content [required]

\n
\n

string

\n

Content of the message.

\n
\n \n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message (for example system, user, or assistant).

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

user_version

\n
\n

string

\n

Optional user-supplied version identifier for this version.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability prompt version. \nAllowed enum values: prompt-template-versions

\n
\n \n
\n
\n
\n
" } }, "GetLLMObsPromptVersion": { @@ -5563,7 +5563,7 @@ "type": "prompt-template-versions" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for a specific version of an LLM Observability prompt.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of a specific version of an LLM Observability prompt.

\n
\n
\n
\n
\n
\n

author

\n
\n

string

\n

UUID of the user who authored this version.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp stored on this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Datasets observed in runs associated with this prompt version.

\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of this version.

\n
\n \n
\n
\n
\n
\n
\n

labels

\n
\n

[string]

\n

DEPRECATED: Labels attached to this version (for example development, staging, production).

\n
\n \n
\n
\n
\n
\n
\n

last_seen_at

\n
\n

date-time

\n

Timestamp of the most recent observed run of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

ml_app

\n
\n

string

\n

The ML application this prompt is associated with.

\n
\n \n
\n
\n
\n
\n
\n

ml_apps

\n
\n

[string]

\n

ML applications observed running this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier of the parent prompt.

\n
\n \n
\n
\n
\n
\n
\n

prompt_uuid [required]

\n
\n

string

\n

Unique identifier of the parent prompt.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags observed on runs of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

template [required]

\n
\n

 <oneOf>

\n

A text template or a list of chat messages.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A text prompt template.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

[object]

\n

A chat prompt template.

\n
\n
\n
\n
\n
\n

content [required]

\n
\n

string

\n

Content of the message.

\n
\n \n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message (for example system, user, or assistant).

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

user_version

\n
\n

string

\n

User-supplied identifier for this version.

\n
\n \n
\n
\n
\n
\n
\n

version [required]

\n
\n

int64

\n

Sequential version number.

\n
\n \n
\n
\n
\n
\n
\n

version_created_at

\n
\n

date-time

\n

Timestamp when this version was created.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the prompt version.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability prompt version. \nAllowed enum values: prompt-template-versions

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for a specific version of an Agent Observability prompt.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of a specific version of an Agent Observability prompt.

\n
\n
\n
\n
\n
\n

author

\n
\n

string

\n

UUID of the user who authored this version.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp stored on this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Datasets observed in runs associated with this prompt version.

\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of this version.

\n
\n \n
\n
\n
\n
\n
\n

labels

\n
\n

[string]

\n

DEPRECATED: Labels attached to this version (for example development, staging, production).

\n
\n \n
\n
\n
\n
\n
\n

last_seen_at

\n
\n

date-time

\n

Timestamp of the most recent observed run of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

ml_app

\n
\n

string

\n

The ML application this prompt is associated with.

\n
\n \n
\n
\n
\n
\n
\n

ml_apps

\n
\n

[string]

\n

ML applications observed running this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier of the parent prompt.

\n
\n \n
\n
\n
\n
\n
\n

prompt_uuid [required]

\n
\n

string

\n

Unique identifier of the parent prompt.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags observed on runs of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

template [required]

\n
\n

 <oneOf>

\n

A text template or a list of chat messages.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A text prompt template.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

[object]

\n

A chat prompt template.

\n
\n
\n
\n
\n
\n

content [required]

\n
\n

string

\n

Content of the message.

\n
\n \n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message (for example system, user, or assistant).

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

user_version

\n
\n

string

\n

User-supplied identifier for this version.

\n
\n \n
\n
\n
\n
\n
\n

version [required]

\n
\n

int64

\n

Sequential version number.

\n
\n \n
\n
\n
\n
\n
\n

version_created_at

\n
\n

date-time

\n

Timestamp when this version was created.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the prompt version.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability prompt version. \nAllowed enum values: prompt-template-versions

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -5680,7 +5680,7 @@ "type": "prompt-template-versions" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for a specific version of an LLM Observability prompt.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of a specific version of an LLM Observability prompt.

\n
\n
\n
\n
\n
\n

author

\n
\n

string

\n

UUID of the user who authored this version.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp stored on this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Datasets observed in runs associated with this prompt version.

\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of this version.

\n
\n \n
\n
\n
\n
\n
\n

labels

\n
\n

[string]

\n

DEPRECATED: Labels attached to this version (for example development, staging, production).

\n
\n \n
\n
\n
\n
\n
\n

last_seen_at

\n
\n

date-time

\n

Timestamp of the most recent observed run of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

ml_app

\n
\n

string

\n

The ML application this prompt is associated with.

\n
\n \n
\n
\n
\n
\n
\n

ml_apps

\n
\n

[string]

\n

ML applications observed running this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier of the parent prompt.

\n
\n \n
\n
\n
\n
\n
\n

prompt_uuid [required]

\n
\n

string

\n

Unique identifier of the parent prompt.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags observed on runs of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

template [required]

\n
\n

 <oneOf>

\n

A text template or a list of chat messages.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A text prompt template.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

[object]

\n

A chat prompt template.

\n
\n
\n
\n
\n
\n

content [required]

\n
\n

string

\n

Content of the message.

\n
\n \n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message (for example system, user, or assistant).

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

user_version

\n
\n

string

\n

User-supplied identifier for this version.

\n
\n \n
\n
\n
\n
\n
\n

version [required]

\n
\n

int64

\n

Sequential version number.

\n
\n \n
\n
\n
\n
\n
\n

version_created_at

\n
\n

date-time

\n

Timestamp when this version was created.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the prompt version.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability prompt version. \nAllowed enum values: prompt-template-versions

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for a specific version of an Agent Observability prompt.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of a specific version of an Agent Observability prompt.

\n
\n
\n
\n
\n
\n

author

\n
\n

string

\n

UUID of the user who authored this version.

\n
\n \n
\n
\n
\n
\n
\n

created_at

\n
\n

date-time

\n

Timestamp stored on this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

datasets

\n
\n

[object]

\n

Datasets observed in runs associated with this prompt version.

\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of this version.

\n
\n \n
\n
\n
\n
\n
\n

labels

\n
\n

[string]

\n

DEPRECATED: Labels attached to this version (for example development, staging, production).

\n
\n \n
\n
\n
\n
\n
\n

last_seen_at

\n
\n

date-time

\n

Timestamp of the most recent observed run of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

ml_app

\n
\n

string

\n

The ML application this prompt is associated with.

\n
\n \n
\n
\n
\n
\n
\n

ml_apps

\n
\n

[string]

\n

ML applications observed running this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

prompt_id [required]

\n
\n

string

\n

Customer-provided identifier of the parent prompt.

\n
\n \n
\n
\n
\n
\n
\n

prompt_uuid [required]

\n
\n

string

\n

Unique identifier of the parent prompt.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags observed on runs of this prompt version.

\n
\n \n
\n
\n
\n
\n
\n

template [required]

\n
\n

 <oneOf>

\n

A text template or a list of chat messages.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A text prompt template.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

[object]

\n

A chat prompt template.

\n
\n
\n
\n
\n
\n

content [required]

\n
\n

string

\n

Content of the message.

\n
\n \n
\n
\n
\n
\n
\n

role [required]

\n
\n

string

\n

Role of the message (for example system, user, or assistant).

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

user_version

\n
\n

string

\n

User-supplied identifier for this version.

\n
\n \n
\n
\n
\n
\n
\n

version [required]

\n
\n

int64

\n

Sequential version number.

\n
\n \n
\n
\n
\n
\n
\n

version_created_at

\n
\n

date-time

\n

Timestamp when this version was created.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the prompt version.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability prompt version. \nAllowed enum values: prompt-template-versions

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -5780,7 +5780,7 @@ "type": "prompt-template-versions" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for updating an LLM Observability prompt version.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for updating an LLM Observability prompt version. At least one of description, labels, or env_ids must be provided; all three attributes are optional individually.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Optional new description for this version.

\n
\n \n
\n
\n
\n
\n
\n

env_ids

\n
\n

[string]

\n

Optional feature-flag environment UUIDs the service attempts to enable and configure to use this version as their default.

\n
\n \n
\n
\n
\n
\n
\n

labels

\n
\n

[string]

\n

DEPRECATED: Optional new labels for this version. Do not use this attribute for new integrations.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability prompt version. \nAllowed enum values: prompt-template-versions

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for updating an Agent Observability prompt version.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for updating an Agent Observability prompt version. At least one of description, labels, or env_ids must be provided; all three attributes are optional individually.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Optional new description for this version.

\n
\n \n
\n
\n
\n
\n
\n

env_ids

\n
\n

[string]

\n

Optional feature-flag environment UUIDs the service attempts to enable and configure to use this version as their default.

\n
\n \n
\n
\n
\n
\n
\n

labels

\n
\n

[string]

\n

DEPRECATED: Optional new labels for this version. Do not use this attribute for new integrations.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability prompt version. \nAllowed enum values: prompt-template-versions

\n
\n \n
\n
\n
\n
" } }, "ListLLMObsSpans": { @@ -5894,7 +5894,7 @@ "status": "done" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of spans matching the query.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability span.

\n
\n
\n
\n
\n
\n

duration [required]

\n
\n

double

\n

Duration of the span in nanoseconds.

\n
\n \n
\n
\n
\n
\n
\n

evaluation

\n
\n

object

\n

Evaluation metrics keyed by evaluator name.

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

object

\n

An evaluation metric associated with an LLM Observability span.

\n
\n
\n
\n
\n
\n

assessment

\n
\n

string

\n

Assessment result (e.g., pass or fail).

\n
\n \n
\n
\n
\n
\n
\n

eval_metric_type

\n
\n

string

\n

Type of the evaluation metric (e.g., score, categorical, boolean).

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Human-readable reasoning for the evaluation result.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

string

\n

Status of the evaluation execution.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the evaluation metric.

\n
\n \n
\n
\n
\n
\n
\n

value

\n
\n

\n

Value of the evaluation result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

input

\n
\n

object

\n

Input or output content of an LLM Observability span.

\n
\n
\n
\n
\n
\n

messages

\n
\n

[object]

\n

List of messages in the input or output.

\n
\n
\n
\n
\n
\n

content

\n
\n

string

\n

Text content of the message.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the message.

\n
\n \n
\n
\n
\n
\n
\n

role

\n
\n

string

\n

Role of the message sender (e.g., user, assistant, system).

\n
\n \n
\n
\n
\n
\n
\n

tool_calls

\n
\n

[object]

\n

Tool calls made in this message.

\n
\n
\n
\n
\n
\n

arguments

\n
\n

object

\n

Arguments passed to the tool.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool called.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the tool call.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool call.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tool_results

\n
\n

[object]

\n

Tool results returned in this message.

\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool that produced this result.

\n
\n \n
\n
\n
\n
\n
\n

result

\n
\n

string

\n

Result value returned by the tool.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the corresponding tool call.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

value

\n
\n

string

\n

Plain-text value of the input or output.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

intent

\n
\n

string

\n

Detected intent of the span.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the span.

\n
\n \n
\n
\n
\n
\n
\n

metrics

\n
\n

object

\n

Numeric metrics associated with the span (e.g., token counts).

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

double

\n
\n
\n \n
\n
\n
\n
\n
\n
\n
\n

ml_app [required]

\n
\n

string

\n

Name of the ML application this span belongs to.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Name of the model used in this span.

\n
\n \n
\n
\n
\n
\n
\n

model_provider

\n
\n

string

\n

Provider of the model used in this span.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the span.

\n
\n \n
\n
\n
\n
\n
\n

output

\n
\n

object

\n

Input or output content of an LLM Observability span.

\n
\n
\n
\n
\n
\n

messages

\n
\n

[object]

\n

List of messages in the input or output.

\n
\n
\n
\n
\n
\n

content

\n
\n

string

\n

Text content of the message.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the message.

\n
\n \n
\n
\n
\n
\n
\n

role

\n
\n

string

\n

Role of the message sender (e.g., user, assistant, system).

\n
\n \n
\n
\n
\n
\n
\n

tool_calls

\n
\n

[object]

\n

Tool calls made in this message.

\n
\n
\n
\n
\n
\n

arguments

\n
\n

object

\n

Arguments passed to the tool.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool called.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the tool call.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool call.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tool_results

\n
\n

[object]

\n

Tool results returned in this message.

\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool that produced this result.

\n
\n \n
\n
\n
\n
\n
\n

result

\n
\n

string

\n

Result value returned by the tool.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the corresponding tool call.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

value

\n
\n

string

\n

Plain-text value of the input or output.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

parent_id

\n
\n

string

\n

Identifier of the parent span, if any.

\n
\n \n
\n
\n
\n
\n
\n

span_id [required]

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

span_kind [required]

\n
\n

string

\n

Kind of span (e.g., llm, agent, tool, task, workflow).

\n
\n \n
\n
\n
\n
\n
\n

start_ns [required]

\n
\n

int64

\n

Start time of the span in nanoseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

status [required]

\n
\n

string

\n

Status of the span (e.g., ok, error).

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the span.

\n
\n \n
\n
\n
\n
\n
\n

tool_definitions

\n
\n

[object]

\n

Tool definitions available to the span.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of what the tool does.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool.

\n
\n \n
\n
\n
\n
\n
\n

schema

\n
\n

object

\n

JSON schema describing the tool's input parameters.

\n
\n \n
\n
\n
\n
\n
\n

version

\n
\n

string

\n

Version of the tool definition.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

trace_id [required]

\n
\n

string

\n

Trace identifier this span belongs to.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for an LLM Observability span. \nAllowed enum values: span

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

links

\n
\n

object

\n

Pagination links accompanying the spans response.

\n
\n
\n
\n
\n
\n

next

\n
\n

string

\n

URL to retrieve the next page of results.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta [required]

\n
\n

object

\n

Metadata accompanying the spans response.

\n
\n
\n
\n
\n
\n

elapsed [required]

\n
\n

int64

\n

Time elapsed for the query in milliseconds.

\n
\n \n
\n
\n
\n
\n
\n

page [required]

\n
\n

object

\n

Pagination cursor for the spans response.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor to retrieve the next page of results. Absent when there are no more results.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

request_id [required]

\n
\n

string

\n

Unique identifier for the request.

\n
\n \n
\n
\n
\n
\n
\n

status [required]

\n
\n

string

\n

Status of the query execution.

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of spans matching the query.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability span.

\n
\n
\n
\n
\n
\n

duration [required]

\n
\n

double

\n

Duration of the span in nanoseconds.

\n
\n \n
\n
\n
\n
\n
\n

evaluation

\n
\n

object

\n

Evaluation metrics keyed by evaluator name.

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

object

\n

An evaluation metric associated with an Agent Observability span.

\n
\n
\n
\n
\n
\n

assessment

\n
\n

string

\n

Assessment result (e.g., pass or fail).

\n
\n \n
\n
\n
\n
\n
\n

eval_metric_type

\n
\n

string

\n

Type of the evaluation metric (e.g., score, categorical, boolean).

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Human-readable reasoning for the evaluation result.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

string

\n

Status of the evaluation execution.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the evaluation metric.

\n
\n \n
\n
\n
\n
\n
\n

value

\n
\n

\n

Value of the evaluation result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

input

\n
\n

object

\n

Input or output content of an Agent Observability span.

\n
\n
\n
\n
\n
\n

messages

\n
\n

[object]

\n

List of messages in the input or output.

\n
\n
\n
\n
\n
\n

content

\n
\n

string

\n

Text content of the message.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the message.

\n
\n \n
\n
\n
\n
\n
\n

role

\n
\n

string

\n

Role of the message sender (e.g., user, assistant, system).

\n
\n \n
\n
\n
\n
\n
\n

tool_calls

\n
\n

[object]

\n

Tool calls made in this message.

\n
\n
\n
\n
\n
\n

arguments

\n
\n

object

\n

Arguments passed to the tool.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool called.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the tool call.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool call.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tool_results

\n
\n

[object]

\n

Tool results returned in this message.

\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool that produced this result.

\n
\n \n
\n
\n
\n
\n
\n

result

\n
\n

string

\n

Result value returned by the tool.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the corresponding tool call.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

value

\n
\n

string

\n

Plain-text value of the input or output.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

intent

\n
\n

string

\n

Detected intent of the span.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the span.

\n
\n \n
\n
\n
\n
\n
\n

metrics

\n
\n

object

\n

Numeric metrics associated with the span (e.g., token counts).

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

double

\n
\n
\n \n
\n
\n
\n
\n
\n
\n
\n

ml_app [required]

\n
\n

string

\n

Name of the ML application this span belongs to.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Name of the model used in this span.

\n
\n \n
\n
\n
\n
\n
\n

model_provider

\n
\n

string

\n

Provider of the model used in this span.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the span.

\n
\n \n
\n
\n
\n
\n
\n

output

\n
\n

object

\n

Input or output content of an Agent Observability span.

\n
\n
\n
\n
\n
\n

messages

\n
\n

[object]

\n

List of messages in the input or output.

\n
\n
\n
\n
\n
\n

content

\n
\n

string

\n

Text content of the message.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the message.

\n
\n \n
\n
\n
\n
\n
\n

role

\n
\n

string

\n

Role of the message sender (e.g., user, assistant, system).

\n
\n \n
\n
\n
\n
\n
\n

tool_calls

\n
\n

[object]

\n

Tool calls made in this message.

\n
\n
\n
\n
\n
\n

arguments

\n
\n

object

\n

Arguments passed to the tool.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool called.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the tool call.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool call.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tool_results

\n
\n

[object]

\n

Tool results returned in this message.

\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool that produced this result.

\n
\n \n
\n
\n
\n
\n
\n

result

\n
\n

string

\n

Result value returned by the tool.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the corresponding tool call.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

value

\n
\n

string

\n

Plain-text value of the input or output.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

parent_id

\n
\n

string

\n

Identifier of the parent span, if any.

\n
\n \n
\n
\n
\n
\n
\n

span_id [required]

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

span_kind [required]

\n
\n

string

\n

Kind of span (e.g., llm, agent, tool, task, workflow).

\n
\n \n
\n
\n
\n
\n
\n

start_ns [required]

\n
\n

int64

\n

Start time of the span in nanoseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

status [required]

\n
\n

string

\n

Status of the span (e.g., ok, error).

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the span.

\n
\n \n
\n
\n
\n
\n
\n

tool_definitions

\n
\n

[object]

\n

Tool definitions available to the span.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of what the tool does.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool.

\n
\n \n
\n
\n
\n
\n
\n

schema

\n
\n

object

\n

JSON schema describing the tool's input parameters.

\n
\n \n
\n
\n
\n
\n
\n

version

\n
\n

string

\n

Version of the tool definition.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

trace_id [required]

\n
\n

string

\n

Trace identifier this span belongs to.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for an Agent Observability span. \nAllowed enum values: span

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

links

\n
\n

object

\n

Pagination links accompanying the spans response.

\n
\n
\n
\n
\n
\n

next

\n
\n

string

\n

URL to retrieve the next page of results.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta [required]

\n
\n

object

\n

Metadata accompanying the spans response.

\n
\n
\n
\n
\n
\n

elapsed [required]

\n
\n

int64

\n

Time elapsed for the query in milliseconds.

\n
\n \n
\n
\n
\n
\n
\n

page [required]

\n
\n

object

\n

Pagination cursor for the spans response.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor to retrieve the next page of results. Absent when there are no more results.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

request_id [required]

\n
\n

string

\n

Unique identifier for the request.

\n
\n \n
\n
\n
\n
\n
\n

status [required]

\n
\n

string

\n

Status of the query execution.

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -6076,7 +6076,7 @@ "status": "done" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of spans matching the query.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability span.

\n
\n
\n
\n
\n
\n

duration [required]

\n
\n

double

\n

Duration of the span in nanoseconds.

\n
\n \n
\n
\n
\n
\n
\n

evaluation

\n
\n

object

\n

Evaluation metrics keyed by evaluator name.

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

object

\n

An evaluation metric associated with an LLM Observability span.

\n
\n
\n
\n
\n
\n

assessment

\n
\n

string

\n

Assessment result (e.g., pass or fail).

\n
\n \n
\n
\n
\n
\n
\n

eval_metric_type

\n
\n

string

\n

Type of the evaluation metric (e.g., score, categorical, boolean).

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Human-readable reasoning for the evaluation result.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

string

\n

Status of the evaluation execution.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the evaluation metric.

\n
\n \n
\n
\n
\n
\n
\n

value

\n
\n

\n

Value of the evaluation result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

input

\n
\n

object

\n

Input or output content of an LLM Observability span.

\n
\n
\n
\n
\n
\n

messages

\n
\n

[object]

\n

List of messages in the input or output.

\n
\n
\n
\n
\n
\n

content

\n
\n

string

\n

Text content of the message.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the message.

\n
\n \n
\n
\n
\n
\n
\n

role

\n
\n

string

\n

Role of the message sender (e.g., user, assistant, system).

\n
\n \n
\n
\n
\n
\n
\n

tool_calls

\n
\n

[object]

\n

Tool calls made in this message.

\n
\n
\n
\n
\n
\n

arguments

\n
\n

object

\n

Arguments passed to the tool.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool called.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the tool call.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool call.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tool_results

\n
\n

[object]

\n

Tool results returned in this message.

\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool that produced this result.

\n
\n \n
\n
\n
\n
\n
\n

result

\n
\n

string

\n

Result value returned by the tool.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the corresponding tool call.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

value

\n
\n

string

\n

Plain-text value of the input or output.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

intent

\n
\n

string

\n

Detected intent of the span.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the span.

\n
\n \n
\n
\n
\n
\n
\n

metrics

\n
\n

object

\n

Numeric metrics associated with the span (e.g., token counts).

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

double

\n
\n
\n \n
\n
\n
\n
\n
\n
\n
\n

ml_app [required]

\n
\n

string

\n

Name of the ML application this span belongs to.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Name of the model used in this span.

\n
\n \n
\n
\n
\n
\n
\n

model_provider

\n
\n

string

\n

Provider of the model used in this span.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the span.

\n
\n \n
\n
\n
\n
\n
\n

output

\n
\n

object

\n

Input or output content of an LLM Observability span.

\n
\n
\n
\n
\n
\n

messages

\n
\n

[object]

\n

List of messages in the input or output.

\n
\n
\n
\n
\n
\n

content

\n
\n

string

\n

Text content of the message.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the message.

\n
\n \n
\n
\n
\n
\n
\n

role

\n
\n

string

\n

Role of the message sender (e.g., user, assistant, system).

\n
\n \n
\n
\n
\n
\n
\n

tool_calls

\n
\n

[object]

\n

Tool calls made in this message.

\n
\n
\n
\n
\n
\n

arguments

\n
\n

object

\n

Arguments passed to the tool.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool called.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the tool call.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool call.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tool_results

\n
\n

[object]

\n

Tool results returned in this message.

\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool that produced this result.

\n
\n \n
\n
\n
\n
\n
\n

result

\n
\n

string

\n

Result value returned by the tool.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the corresponding tool call.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

value

\n
\n

string

\n

Plain-text value of the input or output.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

parent_id

\n
\n

string

\n

Identifier of the parent span, if any.

\n
\n \n
\n
\n
\n
\n
\n

span_id [required]

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

span_kind [required]

\n
\n

string

\n

Kind of span (e.g., llm, agent, tool, task, workflow).

\n
\n \n
\n
\n
\n
\n
\n

start_ns [required]

\n
\n

int64

\n

Start time of the span in nanoseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

status [required]

\n
\n

string

\n

Status of the span (e.g., ok, error).

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the span.

\n
\n \n
\n
\n
\n
\n
\n

tool_definitions

\n
\n

[object]

\n

Tool definitions available to the span.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of what the tool does.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool.

\n
\n \n
\n
\n
\n
\n
\n

schema

\n
\n

object

\n

JSON schema describing the tool's input parameters.

\n
\n \n
\n
\n
\n
\n
\n

version

\n
\n

string

\n

Version of the tool definition.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

trace_id [required]

\n
\n

string

\n

Trace identifier this span belongs to.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for an LLM Observability span. \nAllowed enum values: span

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

links

\n
\n

object

\n

Pagination links accompanying the spans response.

\n
\n
\n
\n
\n
\n

next

\n
\n

string

\n

URL to retrieve the next page of results.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta [required]

\n
\n

object

\n

Metadata accompanying the spans response.

\n
\n
\n
\n
\n
\n

elapsed [required]

\n
\n

int64

\n

Time elapsed for the query in milliseconds.

\n
\n \n
\n
\n
\n
\n
\n

page [required]

\n
\n

object

\n

Pagination cursor for the spans response.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor to retrieve the next page of results. Absent when there are no more results.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

request_id [required]

\n
\n

string

\n

Unique identifier for the request.

\n
\n \n
\n
\n
\n
\n
\n

status [required]

\n
\n

string

\n

Status of the query execution.

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of spans matching the query.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability span.

\n
\n
\n
\n
\n
\n

duration [required]

\n
\n

double

\n

Duration of the span in nanoseconds.

\n
\n \n
\n
\n
\n
\n
\n

evaluation

\n
\n

object

\n

Evaluation metrics keyed by evaluator name.

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

object

\n

An evaluation metric associated with an Agent Observability span.

\n
\n
\n
\n
\n
\n

assessment

\n
\n

string

\n

Assessment result (e.g., pass or fail).

\n
\n \n
\n
\n
\n
\n
\n

eval_metric_type

\n
\n

string

\n

Type of the evaluation metric (e.g., score, categorical, boolean).

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Human-readable reasoning for the evaluation result.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

string

\n

Status of the evaluation execution.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the evaluation metric.

\n
\n \n
\n
\n
\n
\n
\n

value

\n
\n

\n

Value of the evaluation result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

input

\n
\n

object

\n

Input or output content of an Agent Observability span.

\n
\n
\n
\n
\n
\n

messages

\n
\n

[object]

\n

List of messages in the input or output.

\n
\n
\n
\n
\n
\n

content

\n
\n

string

\n

Text content of the message.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the message.

\n
\n \n
\n
\n
\n
\n
\n

role

\n
\n

string

\n

Role of the message sender (e.g., user, assistant, system).

\n
\n \n
\n
\n
\n
\n
\n

tool_calls

\n
\n

[object]

\n

Tool calls made in this message.

\n
\n
\n
\n
\n
\n

arguments

\n
\n

object

\n

Arguments passed to the tool.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool called.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the tool call.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool call.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tool_results

\n
\n

[object]

\n

Tool results returned in this message.

\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool that produced this result.

\n
\n \n
\n
\n
\n
\n
\n

result

\n
\n

string

\n

Result value returned by the tool.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the corresponding tool call.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

value

\n
\n

string

\n

Plain-text value of the input or output.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

intent

\n
\n

string

\n

Detected intent of the span.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the span.

\n
\n \n
\n
\n
\n
\n
\n

metrics

\n
\n

object

\n

Numeric metrics associated with the span (e.g., token counts).

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

double

\n
\n
\n \n
\n
\n
\n
\n
\n
\n
\n

ml_app [required]

\n
\n

string

\n

Name of the ML application this span belongs to.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Name of the model used in this span.

\n
\n \n
\n
\n
\n
\n
\n

model_provider

\n
\n

string

\n

Provider of the model used in this span.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the span.

\n
\n \n
\n
\n
\n
\n
\n

output

\n
\n

object

\n

Input or output content of an Agent Observability span.

\n
\n
\n
\n
\n
\n

messages

\n
\n

[object]

\n

List of messages in the input or output.

\n
\n
\n
\n
\n
\n

content

\n
\n

string

\n

Text content of the message.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the message.

\n
\n \n
\n
\n
\n
\n
\n

role

\n
\n

string

\n

Role of the message sender (e.g., user, assistant, system).

\n
\n \n
\n
\n
\n
\n
\n

tool_calls

\n
\n

[object]

\n

Tool calls made in this message.

\n
\n
\n
\n
\n
\n

arguments

\n
\n

object

\n

Arguments passed to the tool.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool called.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the tool call.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool call.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tool_results

\n
\n

[object]

\n

Tool results returned in this message.

\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool that produced this result.

\n
\n \n
\n
\n
\n
\n
\n

result

\n
\n

string

\n

Result value returned by the tool.

\n
\n \n
\n
\n
\n
\n
\n

tool_id

\n
\n

string

\n

Identifier of the corresponding tool call.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

Type of the tool result.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

value

\n
\n

string

\n

Plain-text value of the input or output.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

parent_id

\n
\n

string

\n

Identifier of the parent span, if any.

\n
\n \n
\n
\n
\n
\n
\n

span_id [required]

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

span_kind [required]

\n
\n

string

\n

Kind of span (e.g., llm, agent, tool, task, workflow).

\n
\n \n
\n
\n
\n
\n
\n

start_ns [required]

\n
\n

int64

\n

Start time of the span in nanoseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

status [required]

\n
\n

string

\n

Status of the span (e.g., ok, error).

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the span.

\n
\n \n
\n
\n
\n
\n
\n

tool_definitions

\n
\n

[object]

\n

Tool definitions available to the span.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of what the tool does.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the tool.

\n
\n \n
\n
\n
\n
\n
\n

schema

\n
\n

object

\n

JSON schema describing the tool's input parameters.

\n
\n \n
\n
\n
\n
\n
\n

version

\n
\n

string

\n

Version of the tool definition.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

trace_id [required]

\n
\n

string

\n

Trace identifier this span belongs to.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for an Agent Observability span. \nAllowed enum values: span

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

links

\n
\n

object

\n

Pagination links accompanying the spans response.

\n
\n
\n
\n
\n
\n

next

\n
\n

string

\n

URL to retrieve the next page of results.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta [required]

\n
\n

object

\n

Metadata accompanying the spans response.

\n
\n
\n
\n
\n
\n

elapsed [required]

\n
\n

int64

\n

Time elapsed for the query in milliseconds.

\n
\n \n
\n
\n
\n
\n
\n

page [required]

\n
\n

object

\n

Pagination cursor for the spans response.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor to retrieve the next page of results. Absent when there are no more results.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

request_id [required]

\n
\n

string

\n

Unique identifier for the request.

\n
\n \n
\n
\n
\n
\n
\n

status [required]

\n
\n

string

\n

Status of the query execution.

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -6177,7 +6177,7 @@ "type": "spans" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an LLM Observability spans search request.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability spans search request.

\n
\n
\n
\n
\n
\n

filter

\n
\n

object

\n

Filter criteria for an LLM Observability span search.

\n
\n
\n
\n
\n
\n

from

\n
\n

string

\n

Start of the time range. Accepts ISO 8601 or relative format (e.g., now-15m). Defaults to now-15m.

\n
\n \n
\n
\n
\n
\n
\n

ml_app

\n
\n

string

\n

Filter by ML application name.

\n
\n \n
\n
\n
\n
\n
\n

query

\n
\n

string

\n

Search query using LLM Observability query syntax. Supports attribute filters using the field:value syntax (e.g. session_id, trace_id, ml_app, meta.span.kind). When provided, structured field filters (span_id, trace_id, etc.) are ignored.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Filter by exact span ID.

\n
\n \n
\n
\n
\n
\n
\n

span_kind

\n
\n

string

\n

Filter by span kind (e.g., llm, agent, tool, task, workflow).

\n
\n \n
\n
\n
\n
\n
\n

span_name

\n
\n

string

\n

Filter by span name.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

object

\n

Filter by tag key-value pairs.

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

string

\n
\n
\n \n
\n
\n
\n
\n
\n
\n
\n

to

\n
\n

string

\n

End of the time range. Accepts ISO 8601 or relative format (e.g., now). Defaults to now.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Filter by exact trace ID.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

options

\n
\n

object

\n

Additional options for a span search request.

\n
\n
\n
\n
\n
\n

include_attachments

\n
\n

boolean

\n

Whether to include attachment data in the response. Defaults to true.

\n
\n \n
\n
\n
\n
\n
\n

time_offset

\n
\n

int64

\n

Offset in seconds applied to both from and to timestamps.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

page

\n
\n

object

\n

Pagination settings for a span search request.

\n
\n
\n
\n
\n
\n

cursor

\n
\n

string

\n

Cursor from the previous response to retrieve the next page.

\n
\n \n
\n
\n
\n
\n
\n

limit

\n
\n

int64

\n

Maximum number of spans to return. Defaults to 10.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

sort

\n
\n

string

\n

Sort order for the results. Use - prefix for descending order.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for an LLM Observability spans search request. \nAllowed enum values: spans

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability spans search request.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability spans search request.

\n
\n
\n
\n
\n
\n

filter

\n
\n

object

\n

Filter criteria for an Agent Observability span search.

\n
\n
\n
\n
\n
\n

from

\n
\n

string

\n

Start of the time range. Accepts ISO 8601 or relative format (e.g., now-15m). Defaults to now-15m.

\n
\n \n
\n
\n
\n
\n
\n

ml_app

\n
\n

string

\n

Filter by ML application name.

\n
\n \n
\n
\n
\n
\n
\n

query

\n
\n

string

\n

Search query using Agent Observability query syntax. Supports attribute filters using the field:value syntax (e.g. session_id, trace_id, ml_app, meta.span.kind). When provided, structured field filters (span_id, trace_id, etc.) are ignored.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Filter by exact span ID.

\n
\n \n
\n
\n
\n
\n
\n

span_kind

\n
\n

string

\n

Filter by span kind (e.g., llm, agent, tool, task, workflow).

\n
\n \n
\n
\n
\n
\n
\n

span_name

\n
\n

string

\n

Filter by span name.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

object

\n

Filter by tag key-value pairs.

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

string

\n
\n
\n \n
\n
\n
\n
\n
\n
\n
\n

to

\n
\n

string

\n

End of the time range. Accepts ISO 8601 or relative format (e.g., now). Defaults to now.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Filter by exact trace ID.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

options

\n
\n

object

\n

Additional options for a span search request.

\n
\n
\n
\n
\n
\n

include_attachments

\n
\n

boolean

\n

Whether to include attachment data in the response. Defaults to true.

\n
\n \n
\n
\n
\n
\n
\n

time_offset

\n
\n

int64

\n

Offset in seconds applied to both from and to timestamps.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

page

\n
\n

object

\n

Pagination settings for a span search request.

\n
\n
\n
\n
\n
\n

cursor

\n
\n

string

\n

Cursor from the previous response to retrieve the next page.

\n
\n \n
\n
\n
\n
\n
\n

limit

\n
\n

int64

\n

Maximum number of spans to return. Defaults to 10.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

sort

\n
\n

string

\n

Sort order for the results. Use - prefix for descending order.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for an Agent Observability spans search request. \nAllowed enum values: spans

\n
\n \n
\n
\n
\n
" } }, "ListLLMObsPatternsClusteredPoints": { @@ -6205,7 +6205,7 @@ "type": "clustered_points_response" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of an LLM Observability patterns clustered points response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability patterns clustered points response.

\n
\n
\n
\n
\n
\n

next_page_token [required]

\n
\n

string

\n

Pagination token for the next page of points. Null if there are no more pages.

\n
\n \n
\n
\n
\n
\n
\n

points [required]

\n
\n

[object]

\n

List of clustered points.

\n
\n
\n
\n
\n
\n

event_id [required]

\n
\n

string

\n

Identifier of the source event.

\n
\n \n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the clustered point.

\n
\n \n
\n
\n
\n
\n
\n

input [required]

\n
\n

string

\n

Input text of the source span.

\n
\n \n
\n
\n
\n
\n
\n

is_included [required]

\n
\n

boolean

\n

Whether the point is included in the patterns dataset.

\n
\n \n
\n
\n
\n
\n
\n

is_suggested [required]

\n
\n

boolean

\n

Whether the point is suggested for inclusion in the patterns dataset.

\n
\n \n
\n
\n
\n
\n
\n

session_id [required]

\n
\n

string

\n

Identifier of the source session.

\n
\n \n
\n
\n
\n
\n
\n

span_id [required]

\n
\n

string

\n

Identifier of the source span.

\n
\n \n
\n
\n
\n
\n
\n

topic_id [required]

\n
\n

string

\n

Identifier of the topic the point belongs to.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

topic_id [required]

\n
\n

string

\n

Identifier of the topic the points belong to.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Identifier of the topic the points belong to.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability patterns clustered points response. \nAllowed enum values: clustered_points_response

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of an Agent Observability patterns clustered points response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability patterns clustered points response.

\n
\n
\n
\n
\n
\n

next_page_token [required]

\n
\n

string

\n

Pagination token for the next page of points. Null if there are no more pages.

\n
\n \n
\n
\n
\n
\n
\n

points [required]

\n
\n

[object]

\n

List of clustered points.

\n
\n
\n
\n
\n
\n

event_id [required]

\n
\n

string

\n

Identifier of the source event.

\n
\n \n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the clustered point.

\n
\n \n
\n
\n
\n
\n
\n

input [required]

\n
\n

string

\n

Input text of the source span.

\n
\n \n
\n
\n
\n
\n
\n

is_included [required]

\n
\n

boolean

\n

Whether the point is included in the patterns dataset.

\n
\n \n
\n
\n
\n
\n
\n

is_suggested [required]

\n
\n

boolean

\n

Whether the point is suggested for inclusion in the patterns dataset.

\n
\n \n
\n
\n
\n
\n
\n

session_id [required]

\n
\n

string

\n

Identifier of the source session.

\n
\n \n
\n
\n
\n
\n
\n

span_id [required]

\n
\n

string

\n

Identifier of the source span.

\n
\n \n
\n
\n
\n
\n
\n

topic_id [required]

\n
\n

string

\n

Identifier of the topic the point belongs to.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

topic_id [required]

\n
\n

string

\n

Identifier of the topic the points belong to.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Identifier of the topic the points belong to.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability patterns clustered points response. \nAllowed enum values: clustered_points_response

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -6340,7 +6340,7 @@ "type": "list_topic_discovery_configs_response" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of a list of LLM Observability patterns configurations.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of a list of LLM Observability patterns configurations.

\n
\n
\n
\n
\n
\n

configs [required]

\n
\n

[object]

\n

List of patterns configurations.

\n
\n
\n
\n
\n
\n

account_id

\n
\n

string

\n

Integration account ID for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the configuration was created.

\n
\n \n
\n
\n
\n
\n
\n

evp_query [required]

\n
\n

string

\n

Query that selects the spans the patterns run analyzes.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_depth [required]

\n
\n

int32

\n

Depth of the topic hierarchy to generate.

\n
\n \n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

string

\n

Integration provider for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Model name for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

num_records [required]

\n
\n

int32

\n

Maximum number of records to process for the run.

\n
\n \n
\n
\n
\n
\n
\n

sampling_ratio [required]

\n
\n

double

\n

Fraction of matching spans to sample for the run.

\n
\n \n
\n
\n
\n
\n
\n

scope [required]

\n
\n

string

\n

Scope of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

template

\n
\n

string

\n

Template used to guide topic generation.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the configuration was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Identifier of the list response.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of a list of LLM Observability patterns configurations. \nAllowed enum values: list_topic_discovery_configs_response

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of a list of Agent Observability patterns configurations.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of a list of Agent Observability patterns configurations.

\n
\n
\n
\n
\n
\n

configs [required]

\n
\n

[object]

\n

List of patterns configurations.

\n
\n
\n
\n
\n
\n

account_id

\n
\n

string

\n

Integration account ID for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the configuration was created.

\n
\n \n
\n
\n
\n
\n
\n

evp_query [required]

\n
\n

string

\n

Query that selects the spans the patterns run analyzes.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_depth [required]

\n
\n

int32

\n

Depth of the topic hierarchy to generate.

\n
\n \n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

string

\n

Integration provider for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Model name for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

num_records [required]

\n
\n

int32

\n

Maximum number of records to process for the run.

\n
\n \n
\n
\n
\n
\n
\n

sampling_ratio [required]

\n
\n

double

\n

Fraction of matching spans to sample for the run.

\n
\n \n
\n
\n
\n
\n
\n

scope [required]

\n
\n

string

\n

Scope of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

template

\n
\n

string

\n

Template used to guide topic generation.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the configuration was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Identifier of the list response.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of a list of Agent Observability patterns configurations. \nAllowed enum values: list_topic_discovery_configs_response

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -6452,7 +6452,7 @@ "type": "topic_discovery_configs" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of an LLM Observability patterns configuration.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability patterns configuration.

\n
\n
\n
\n
\n
\n

account_id

\n
\n

string

\n

Integration account ID for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the configuration was created.

\n
\n \n
\n
\n
\n
\n
\n

evp_query [required]

\n
\n

string

\n

Query that selects the spans the patterns run analyzes.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_depth [required]

\n
\n

int32

\n

Depth of the topic hierarchy to generate.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

string

\n

Integration provider for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Model name for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

num_records [required]

\n
\n

int32

\n

Maximum number of records to process for the run.

\n
\n \n
\n
\n
\n
\n
\n

sampling_ratio [required]

\n
\n

double

\n

Fraction of matching spans to sample for the run.

\n
\n \n
\n
\n
\n
\n
\n

scope [required]

\n
\n

string

\n

Scope of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

template

\n
\n

string

\n

Template used to guide topic generation.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the configuration was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability patterns configuration. \nAllowed enum values: topic_discovery_configs

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of an Agent Observability patterns configuration.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability patterns configuration.

\n
\n
\n
\n
\n
\n

account_id

\n
\n

string

\n

Integration account ID for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the configuration was created.

\n
\n \n
\n
\n
\n
\n
\n

evp_query [required]

\n
\n

string

\n

Query that selects the spans the patterns run analyzes.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_depth [required]

\n
\n

int32

\n

Depth of the topic hierarchy to generate.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

string

\n

Integration provider for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Model name for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

num_records [required]

\n
\n

int32

\n

Maximum number of records to process for the run.

\n
\n \n
\n
\n
\n
\n
\n

sampling_ratio [required]

\n
\n

double

\n

Fraction of matching spans to sample for the run.

\n
\n \n
\n
\n
\n
\n
\n

scope [required]

\n
\n

string

\n

Scope of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

template

\n
\n

string

\n

Template used to guide topic generation.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the configuration was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability patterns configuration. \nAllowed enum values: topic_discovery_configs

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -6584,7 +6584,7 @@ "type": "topic_discovery_configs" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating or updating an LLM Observability patterns configuration.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating or updating an LLM Observability patterns configuration.

\n
\n
\n
\n
\n
\n

account_id

\n
\n

string

\n

Integration account ID for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

config_id

\n
\n

string

\n

The ID of an existing configuration to update. If omitted, a new configuration is created.

\n
\n \n
\n
\n
\n
\n
\n

evp_query [required]

\n
\n

string

\n

Query that selects the spans the patterns run analyzes.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_depth [required]

\n
\n

int32

\n

Depth of the topic hierarchy to generate.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

string

\n

Integration provider for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Model name for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

num_records [required]

\n
\n

int32

\n

Maximum number of records to process for the run.

\n
\n \n
\n
\n
\n
\n
\n

sampling_ratio [required]

\n
\n

double

\n

Fraction of matching spans to sample for the run.

\n
\n \n
\n
\n
\n
\n
\n

scope

\n
\n

string

\n

Scope of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

template

\n
\n

string

\n

Template used to guide topic generation.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability patterns configuration. \nAllowed enum values: topic_discovery_configs

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating or updating an Agent Observability patterns configuration.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating or updating an Agent Observability patterns configuration.

\n
\n
\n
\n
\n
\n

account_id

\n
\n

string

\n

Integration account ID for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

config_id

\n
\n

string

\n

The ID of an existing configuration to update. If omitted, a new configuration is created.

\n
\n \n
\n
\n
\n
\n
\n

evp_query [required]

\n
\n

string

\n

Query that selects the spans the patterns run analyzes.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_depth [required]

\n
\n

int32

\n

Depth of the topic hierarchy to generate.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

string

\n

Integration provider for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Model name for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

num_records [required]

\n
\n

int32

\n

Maximum number of records to process for the run.

\n
\n \n
\n
\n
\n
\n
\n

sampling_ratio [required]

\n
\n

double

\n

Fraction of matching spans to sample for the run.

\n
\n \n
\n
\n
\n
\n
\n

scope

\n
\n

string

\n

Scope of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

template

\n
\n

string

\n

Template used to guide topic generation.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability patterns configuration. \nAllowed enum values: topic_discovery_configs

\n
\n \n
\n
\n
\n
" } }, "GetLLMObsPatternsConfig": { @@ -6610,7 +6610,7 @@ "type": "topic_discovery_configs" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of an LLM Observability patterns configuration.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability patterns configuration.

\n
\n
\n
\n
\n
\n

account_id

\n
\n

string

\n

Integration account ID for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the configuration was created.

\n
\n \n
\n
\n
\n
\n
\n

evp_query [required]

\n
\n

string

\n

Query that selects the spans the patterns run analyzes.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_depth [required]

\n
\n

int32

\n

Depth of the topic hierarchy to generate.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

string

\n

Integration provider for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Model name for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

num_records [required]

\n
\n

int32

\n

Maximum number of records to process for the run.

\n
\n \n
\n
\n
\n
\n
\n

sampling_ratio [required]

\n
\n

double

\n

Fraction of matching spans to sample for the run.

\n
\n \n
\n
\n
\n
\n
\n

scope [required]

\n
\n

string

\n

Scope of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

template

\n
\n

string

\n

Template used to guide topic generation.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the configuration was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability patterns configuration. \nAllowed enum values: topic_discovery_configs

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of an Agent Observability patterns configuration.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability patterns configuration.

\n
\n
\n
\n
\n
\n

account_id

\n
\n

string

\n

Integration account ID for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the configuration was created.

\n
\n \n
\n
\n
\n
\n
\n

evp_query [required]

\n
\n

string

\n

Query that selects the spans the patterns run analyzes.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_depth [required]

\n
\n

int32

\n

Depth of the topic hierarchy to generate.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

string

\n

Integration provider for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Model name for a bring-your-own-model configuration.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

num_records [required]

\n
\n

int32

\n

Maximum number of records to process for the run.

\n
\n \n
\n
\n
\n
\n
\n

sampling_ratio [required]

\n
\n

double

\n

Fraction of matching spans to sample for the run.

\n
\n \n
\n
\n
\n
\n
\n

scope [required]

\n
\n

string

\n

Scope of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

template

\n
\n

string

\n

Template used to guide topic generation.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the configuration was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the configuration.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability patterns configuration. \nAllowed enum values: topic_discovery_configs

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -6852,7 +6852,7 @@ "type": "list_topic_discovery_runs_response" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of an LLM Observability patterns runs response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability patterns runs response.

\n
\n
\n
\n
\n
\n

runs [required]

\n
\n

[object]

\n

List of patterns runs.

\n
\n
\n
\n
\n
\n

completed_at

\n
\n

date-time

\n

Timestamp when the run completed. Null if the run has not completed.

\n
\n \n
\n
\n
\n
\n
\n

config_snapshot

\n
\n

object

\n

Snapshot of the configuration used for a patterns run.

\n
\n
\n
\n
\n
\n

account_id

\n
\n

string

\n

Integration account ID used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

evp_query

\n
\n

string

\n

Query that selected the spans for the run.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_depth

\n
\n

int32

\n

Depth of the topic hierarchy generated.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

string

\n

Integration provider used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Model name used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

num_records

\n
\n

int32

\n

Maximum number of records processed for the run.

\n
\n \n
\n
\n
\n
\n
\n

sampling_ratio

\n
\n

double

\n

Fraction of matching spans sampled for the run.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the run was created.

\n
\n \n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the run.

\n
\n \n
\n
\n
\n
\n
\n

status [required]

\n
\n

string

\n

Status of the run.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Identifier of the configuration the runs belong to.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of a list of LLM Observability patterns runs. \nAllowed enum values: list_topic_discovery_runs_response

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of an Agent Observability patterns runs response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability patterns runs response.

\n
\n
\n
\n
\n
\n

runs [required]

\n
\n

[object]

\n

List of patterns runs.

\n
\n
\n
\n
\n
\n

completed_at

\n
\n

date-time

\n

Timestamp when the run completed. Null if the run has not completed.

\n
\n \n
\n
\n
\n
\n
\n

config_snapshot

\n
\n

object

\n

Snapshot of the configuration used for a patterns run.

\n
\n
\n
\n
\n
\n

account_id

\n
\n

string

\n

Integration account ID used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

evp_query

\n
\n

string

\n

Query that selected the spans for the run.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_depth

\n
\n

int32

\n

Depth of the topic hierarchy generated.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

string

\n

Integration provider used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Model name used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

num_records

\n
\n

int32

\n

Maximum number of records processed for the run.

\n
\n \n
\n
\n
\n
\n
\n

sampling_ratio

\n
\n

double

\n

Fraction of matching spans sampled for the run.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the run was created.

\n
\n \n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the run.

\n
\n \n
\n
\n
\n
\n
\n

status [required]

\n
\n

string

\n

Status of the run.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Identifier of the configuration the runs belong to.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of a list of Agent Observability patterns runs. \nAllowed enum values: list_topic_discovery_runs_response

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -6973,7 +6973,7 @@ "type": "topic_discovery_run" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of an LLM Observability patterns trigger response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability patterns trigger response.

\n
\n
\n
\n
\n
\n

config_id [required]

\n
\n

string

\n

The ID of the patterns configuration that was run.

\n
\n \n
\n
\n
\n
\n
\n

run_id [required]

\n
\n

string

\n

The ID of the patterns run that was started.

\n
\n \n
\n
\n
\n
\n
\n

status [required]

\n
\n

string

\n

Status of the patterns run.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

The ID of the patterns configuration that was run.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability patterns trigger response. \nAllowed enum values: topic_discovery_run

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of an Agent Observability patterns trigger response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability patterns trigger response.

\n
\n
\n
\n
\n
\n

config_id [required]

\n
\n

string

\n

The ID of the patterns configuration that was run.

\n
\n \n
\n
\n
\n
\n
\n

run_id [required]

\n
\n

string

\n

The ID of the patterns run that was started.

\n
\n \n
\n
\n
\n
\n
\n

status [required]

\n
\n

string

\n

Status of the patterns run.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

The ID of the patterns configuration that was run.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability patterns trigger response. \nAllowed enum values: topic_discovery_run

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -7091,7 +7091,7 @@ "type": "topic_discovery" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for triggering an LLM Observability patterns run.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for triggering an LLM Observability patterns run.

\n
\n
\n
\n
\n
\n

config_id [required]

\n
\n

string

\n

The ID of the patterns configuration to run.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for triggering an LLM Observability patterns run. \nAllowed enum values: topic_discovery

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for triggering an Agent Observability patterns run.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for triggering an Agent Observability patterns run.

\n
\n
\n
\n
\n
\n

config_id [required]

\n
\n

string

\n

The ID of the patterns configuration to run.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for triggering an Agent Observability patterns run. \nAllowed enum values: topic_discovery

\n
\n \n
\n
\n
\n
" } }, "GetLLMObsPatternsRunStatus": { @@ -7115,7 +7115,7 @@ "type": "topic_discovery_run_status" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of an LLM Observability patterns run status response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability patterns run status.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the run was created.

\n
\n \n
\n
\n
\n
\n
\n

progress [required]

\n
\n

[object]

\n

List of step-by-step progress entries for a patterns run.

\n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the step.

\n
\n \n
\n
\n
\n
\n
\n

started_at

\n
\n

date-time

\n

Timestamp when the step started. Null if the step has not started.

\n
\n \n
\n
\n
\n
\n
\n

status [required]

\n
\n

string

\n

Status of the step.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

status [required]

\n
\n

string

\n

Overall status of the run.

\n
\n \n
\n
\n
\n
\n
\n

step [required]

\n
\n

string

\n

The current step of the run.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

The ID of the patterns run.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability patterns run status. \nAllowed enum values: topic_discovery_run_status

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of an Agent Observability patterns run status response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability patterns run status.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the run was created.

\n
\n \n
\n
\n
\n
\n
\n

progress [required]

\n
\n

[object]

\n

List of step-by-step progress entries for a patterns run.

\n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the step.

\n
\n \n
\n
\n
\n
\n
\n

started_at

\n
\n

date-time

\n

Timestamp when the step started. Null if the step has not started.

\n
\n \n
\n
\n
\n
\n
\n

status [required]

\n
\n

string

\n

Status of the step.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

status [required]

\n
\n

string

\n

Overall status of the run.

\n
\n \n
\n
\n
\n
\n
\n

step [required]

\n
\n

string

\n

The current step of the run.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

The ID of the patterns run.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability patterns run status. \nAllowed enum values: topic_discovery_run_status

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -7261,7 +7261,7 @@ "type": "get_topics_response" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of an LLM Observability patterns topics response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability patterns topics response.

\n
\n
\n
\n
\n
\n

completed_at

\n
\n

date-time

\n

Timestamp when the run completed. Null if the run has not completed.

\n
\n \n
\n
\n
\n
\n
\n

config_id [required]

\n
\n

string

\n

Identifier of the configuration that produced the run.

\n
\n \n
\n
\n
\n
\n
\n

config_snapshot

\n
\n

object

\n

Snapshot of the configuration used for a patterns run.

\n
\n
\n
\n
\n
\n

account_id

\n
\n

string

\n

Integration account ID used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

evp_query

\n
\n

string

\n

Query that selected the spans for the run.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_depth

\n
\n

int32

\n

Depth of the topic hierarchy generated.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

string

\n

Integration provider used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Model name used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

num_records

\n
\n

int32

\n

Maximum number of records processed for the run.

\n
\n \n
\n
\n
\n
\n
\n

sampling_ratio

\n
\n

double

\n

Fraction of matching spans sampled for the run.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the run was created.

\n
\n \n
\n
\n
\n
\n
\n

previous_run_id [required]

\n
\n

string

\n

Identifier of the run that completed immediately before this one. Empty if none.

\n
\n \n
\n
\n
\n
\n
\n

run_id [required]

\n
\n

string

\n

Identifier of the run that produced the topics.

\n
\n \n
\n
\n
\n
\n
\n

topics [required]

\n
\n

[object]

\n

List of discovered topics.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the topic was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the topic.

\n
\n \n
\n
\n
\n
\n
\n

first_seen_at [required]

\n
\n

date-time

\n

Timestamp when the topic was first seen.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_level [required]

\n
\n

int64

\n

Level of the topic in the hierarchy. Level 0 is a leaf topic.

\n
\n \n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the topic.

\n
\n \n
\n
\n
\n
\n
\n

is_validated [required]

\n
\n

boolean

\n

Whether the topic has been validated.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the topic.

\n
\n \n
\n
\n
\n
\n
\n

parent_topic_id [required]

\n
\n

string

\n

Identifier of the parent topic. Empty for top-level topics.

\n
\n \n
\n
\n
\n
\n
\n

point_count [required]

\n
\n

int64

\n

Number of data points assigned to the topic.

\n
\n \n
\n
\n
\n
\n
\n

run_id [required]

\n
\n

string

\n

Identifier of the run that produced the topic.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Identifier of the run the topics belong to.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability patterns topics response. \nAllowed enum values: get_topics_response

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of an Agent Observability patterns topics response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability patterns topics response.

\n
\n
\n
\n
\n
\n

completed_at

\n
\n

date-time

\n

Timestamp when the run completed. Null if the run has not completed.

\n
\n \n
\n
\n
\n
\n
\n

config_id [required]

\n
\n

string

\n

Identifier of the configuration that produced the run.

\n
\n \n
\n
\n
\n
\n
\n

config_snapshot

\n
\n

object

\n

Snapshot of the configuration used for a patterns run.

\n
\n
\n
\n
\n
\n

account_id

\n
\n

string

\n

Integration account ID used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

evp_query

\n
\n

string

\n

Query that selected the spans for the run.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_depth

\n
\n

int32

\n

Depth of the topic hierarchy generated.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

string

\n

Integration provider used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Model name used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

num_records

\n
\n

int32

\n

Maximum number of records processed for the run.

\n
\n \n
\n
\n
\n
\n
\n

sampling_ratio

\n
\n

double

\n

Fraction of matching spans sampled for the run.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the run was created.

\n
\n \n
\n
\n
\n
\n
\n

previous_run_id [required]

\n
\n

string

\n

Identifier of the run that completed immediately before this one. Empty if none.

\n
\n \n
\n
\n
\n
\n
\n

run_id [required]

\n
\n

string

\n

Identifier of the run that produced the topics.

\n
\n \n
\n
\n
\n
\n
\n

topics [required]

\n
\n

[object]

\n

List of discovered topics.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the topic was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the topic.

\n
\n \n
\n
\n
\n
\n
\n

first_seen_at [required]

\n
\n

date-time

\n

Timestamp when the topic was first seen.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_level [required]

\n
\n

int64

\n

Level of the topic in the hierarchy. Level 0 is a leaf topic.

\n
\n \n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the topic.

\n
\n \n
\n
\n
\n
\n
\n

is_validated [required]

\n
\n

boolean

\n

Whether the topic has been validated.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the topic.

\n
\n \n
\n
\n
\n
\n
\n

parent_topic_id [required]

\n
\n

string

\n

Identifier of the parent topic. Empty for top-level topics.

\n
\n \n
\n
\n
\n
\n
\n

point_count [required]

\n
\n

int64

\n

Number of data points assigned to the topic.

\n
\n \n
\n
\n
\n
\n
\n

run_id [required]

\n
\n

string

\n

Identifier of the run that produced the topic.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Identifier of the run the topics belong to.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability patterns topics response. \nAllowed enum values: get_topics_response

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -7419,7 +7419,7 @@ "type": "get_topics_with_cluster_points_response" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of an LLM Observability patterns topics-with-clustered-points response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability patterns topics-with-clustered-points response.

\n
\n
\n
\n
\n
\n

completed_at

\n
\n

date-time

\n

Timestamp when the run completed. Null if the run has not completed.

\n
\n \n
\n
\n
\n
\n
\n

config_id [required]

\n
\n

string

\n

Identifier of the configuration that produced the run.

\n
\n \n
\n
\n
\n
\n
\n

config_snapshot

\n
\n

object

\n

Snapshot of the configuration used for a patterns run.

\n
\n
\n
\n
\n
\n

account_id

\n
\n

string

\n

Integration account ID used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

evp_query

\n
\n

string

\n

Query that selected the spans for the run.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_depth

\n
\n

int32

\n

Depth of the topic hierarchy generated.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

string

\n

Integration provider used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Model name used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

num_records

\n
\n

int32

\n

Maximum number of records processed for the run.

\n
\n \n
\n
\n
\n
\n
\n

sampling_ratio

\n
\n

double

\n

Fraction of matching spans sampled for the run.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the run was created.

\n
\n \n
\n
\n
\n
\n
\n

previous_run_id [required]

\n
\n

string

\n

Identifier of the run that completed immediately before this one. Empty if none.

\n
\n \n
\n
\n
\n
\n
\n

run_id [required]

\n
\n

string

\n

Identifier of the run that produced the topics.

\n
\n \n
\n
\n
\n
\n
\n

topics [required]

\n
\n

[object]

\n

List of discovered topics with their clustered points.

\n
\n
\n
\n
\n
\n

cluster_points

\n
\n

[object]

\n

List of clustered points attached to a topic.

\n
\n
\n
\n
\n
\n

duration

\n
\n

double

\n

Duration of the source span in nanoseconds. Included only when metrics are requested.

\n
\n \n
\n
\n
\n
\n
\n

estimated_total_cost

\n
\n

double

\n

Estimated total cost of the source span. Included only when metrics are requested.

\n
\n \n
\n
\n
\n
\n
\n

evaluation

\n
\n

object

\n

Evaluation results for the source span keyed by evaluation name. Included\nonly when metrics are requested.

\n
\n \n
\n
\n
\n
\n
\n

input_tokens

\n
\n

double

\n

Number of input tokens of the source span. Included only when metrics are requested.

\n
\n \n
\n
\n
\n
\n
\n

output_tokens

\n
\n

double

\n

Number of output tokens of the source span. Included only when metrics are requested.

\n
\n \n
\n
\n
\n
\n
\n

span_id [required]

\n
\n

string

\n

Identifier of the source span.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

string

\n

Status of the source span. Included only when metrics are requested.

\n
\n \n
\n
\n
\n
\n
\n

total_tokens

\n
\n

double

\n

Total number of tokens of the source span. Included only when metrics are requested.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the topic was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the topic.

\n
\n \n
\n
\n
\n
\n
\n

first_seen_at [required]

\n
\n

date-time

\n

Timestamp when the topic was first seen.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_level [required]

\n
\n

int64

\n

Level of the topic in the hierarchy. Level 0 is a leaf topic.

\n
\n \n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the topic.

\n
\n \n
\n
\n
\n
\n
\n

is_validated [required]

\n
\n

boolean

\n

Whether the topic has been validated.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the topic.

\n
\n \n
\n
\n
\n
\n
\n

parent_topic_id [required]

\n
\n

string

\n

Identifier of the parent topic. Empty for top-level topics.

\n
\n \n
\n
\n
\n
\n
\n

point_count [required]

\n
\n

int64

\n

Number of data points assigned to the topic.

\n
\n \n
\n
\n
\n
\n
\n

run_id [required]

\n
\n

string

\n

Identifier of the run that produced the topic.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Identifier of the run the topics belong to.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability patterns topics-with-clustered-points response. \nAllowed enum values: get_topics_with_cluster_points_response

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object of an Agent Observability patterns topics-with-clustered-points response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability patterns topics-with-clustered-points response.

\n
\n
\n
\n
\n
\n

completed_at

\n
\n

date-time

\n

Timestamp when the run completed. Null if the run has not completed.

\n
\n \n
\n
\n
\n
\n
\n

config_id [required]

\n
\n

string

\n

Identifier of the configuration that produced the run.

\n
\n \n
\n
\n
\n
\n
\n

config_snapshot

\n
\n

object

\n

Snapshot of the configuration used for a patterns run.

\n
\n
\n
\n
\n
\n

account_id

\n
\n

string

\n

Integration account ID used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

evp_query

\n
\n

string

\n

Query that selected the spans for the run.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_depth

\n
\n

int32

\n

Depth of the topic hierarchy generated.

\n
\n \n
\n
\n
\n
\n
\n

integration_provider

\n
\n

string

\n

Integration provider used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

model_name

\n
\n

string

\n

Model name used for a bring-your-own-model run.

\n
\n \n
\n
\n
\n
\n
\n

num_records

\n
\n

int32

\n

Maximum number of records processed for the run.

\n
\n \n
\n
\n
\n
\n
\n

sampling_ratio

\n
\n

double

\n

Fraction of matching spans sampled for the run.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the run was created.

\n
\n \n
\n
\n
\n
\n
\n

previous_run_id [required]

\n
\n

string

\n

Identifier of the run that completed immediately before this one. Empty if none.

\n
\n \n
\n
\n
\n
\n
\n

run_id [required]

\n
\n

string

\n

Identifier of the run that produced the topics.

\n
\n \n
\n
\n
\n
\n
\n

topics [required]

\n
\n

[object]

\n

List of discovered topics with their clustered points.

\n
\n
\n
\n
\n
\n

cluster_points

\n
\n

[object]

\n

List of clustered points attached to a topic.

\n
\n
\n
\n
\n
\n

duration

\n
\n

double

\n

Duration of the source span in nanoseconds. Included only when metrics are requested.

\n
\n \n
\n
\n
\n
\n
\n

estimated_total_cost

\n
\n

double

\n

Estimated total cost of the source span. Included only when metrics are requested.

\n
\n \n
\n
\n
\n
\n
\n

evaluation

\n
\n

object

\n

Evaluation results for the source span keyed by evaluation name. Included\nonly when metrics are requested.

\n
\n \n
\n
\n
\n
\n
\n

input_tokens

\n
\n

double

\n

Number of input tokens of the source span. Included only when metrics are requested.

\n
\n \n
\n
\n
\n
\n
\n

output_tokens

\n
\n

double

\n

Number of output tokens of the source span. Included only when metrics are requested.

\n
\n \n
\n
\n
\n
\n
\n

span_id [required]

\n
\n

string

\n

Identifier of the source span.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

string

\n

Status of the source span. Included only when metrics are requested.

\n
\n \n
\n
\n
\n
\n
\n

total_tokens

\n
\n

double

\n

Total number of tokens of the source span. Included only when metrics are requested.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the topic was created.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the topic.

\n
\n \n
\n
\n
\n
\n
\n

first_seen_at [required]

\n
\n

date-time

\n

Timestamp when the topic was first seen.

\n
\n \n
\n
\n
\n
\n
\n

hierarchy_level [required]

\n
\n

int64

\n

Level of the topic in the hierarchy. Level 0 is a leaf topic.

\n
\n \n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the topic.

\n
\n \n
\n
\n
\n
\n
\n

is_validated [required]

\n
\n

boolean

\n

Whether the topic has been validated.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the topic.

\n
\n \n
\n
\n
\n
\n
\n

parent_topic_id [required]

\n
\n

string

\n

Identifier of the parent topic. Empty for top-level topics.

\n
\n \n
\n
\n
\n
\n
\n

point_count [required]

\n
\n

int64

\n

Number of data points assigned to the topic.

\n
\n \n
\n
\n
\n
\n
\n

run_id [required]

\n
\n

string

\n

Identifier of the run that produced the topic.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Identifier of the run the topics belong to.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability patterns topics-with-clustered-points response. \nAllowed enum values: get_topics_with_cluster_points_response

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -7548,7 +7548,7 @@ "after": "string" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of datasets.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was created.

\n
\n \n
\n
\n
\n
\n
\n

current_version [required]

\n
\n

int64

\n

Current version number of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Pagination cursor metadata.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor for the next page of results.

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of datasets.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was created.

\n
\n \n
\n
\n
\n
\n
\n

current_version [required]

\n
\n

int64

\n

Current version number of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Pagination cursor metadata.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor for the next page of results.

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -7654,7 +7654,7 @@ "type": "datasets" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was created.

\n
\n \n
\n
\n
\n
\n
\n

current_version [required]

\n
\n

int64

\n

Current version number of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was created.

\n
\n \n
\n
\n
\n
\n
\n

current_version [required]

\n
\n

int64

\n

Current version number of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" }, "201": { "json": { @@ -7671,7 +7671,7 @@ "type": "datasets" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was created.

\n
\n \n
\n
\n
\n
\n
\n

current_version [required]

\n
\n

int64

\n

Current version number of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was created.

\n
\n \n
\n
\n
\n
\n
\n

current_version [required]

\n
\n

int64

\n

Current version number of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -7773,7 +7773,7 @@ "type": "datasets" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for creating an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for creating an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" } }, "DeleteLLMObsDatasets": { @@ -7880,7 +7880,7 @@ "type": "datasets" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for deleting LLM Observability datasets.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for deleting LLM Observability datasets.

\n
\n
\n
\n
\n
\n

dataset_ids [required]

\n
\n

[string]

\n

List of dataset IDs to delete.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for deleting Agent Observability datasets.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for deleting Agent Observability datasets.

\n
\n
\n
\n
\n
\n

dataset_ids [required]

\n
\n

[string]

\n

List of dataset IDs to delete.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" } }, "UpdateLLMObsDataset": { @@ -7900,7 +7900,7 @@ "type": "datasets" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was created.

\n
\n \n
\n
\n
\n
\n
\n

current_version [required]

\n
\n

int64

\n

Current version number of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was created.

\n
\n \n
\n
\n
\n
\n
\n

current_version [required]

\n
\n

int64

\n

Current version number of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -8000,7 +8000,7 @@ "type": "datasets" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for updating an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for updating an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Updated description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Updated metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Updated name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for updating an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for updating an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Updated description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Updated metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Updated name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" } }, "BatchUpdateLLMObsDataset": { @@ -8217,7 +8217,7 @@ "type": "datasets" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for batch-updating records in an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for batch-updating records in an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

create_new_version

\n
\n

boolean

\n

Whether to create a new dataset version when applying the batch update. Defaults to true.

\n
\n \n
\n
\n
\n
\n
\n

delete_records

\n
\n

[string]

\n

Record IDs to delete.

\n
\n \n
\n
\n
\n
\n
\n

insert_records

\n
\n

[object]

\n

Records to insert.

\n
\n
\n
\n
\n
\n

expected_output

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Optional user-provided identifier for the record. If omitted, the server generates an identifier.

\n
\n \n
\n
\n
\n
\n
\n

input [required]

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the record.

\n
\n \n
\n
\n
\n
\n
\n

tag_operations

\n
\n

object

\n

Explicit tag operations for updating records. Operations are applied in order, Remove then Add then Set. set is the final override; if specified, the result of remove and add is discarded.

\n
\n
\n
\n
\n
\n

add

\n
\n

[string]

\n

List of tag strings.

\n
\n \n
\n
\n
\n
\n
\n

remove

\n
\n

[string]

\n

List of tag strings.

\n
\n \n
\n
\n
\n
\n
\n

set

\n
\n

[string]

\n

List of tag strings.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

List of tag strings.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

List of tag strings.

\n
\n \n
\n
\n
\n
\n
\n

update_records

\n
\n

[object]

\n

Records to update by ID.

\n
\n
\n
\n
\n
\n

expected_output

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the record to update.

\n
\n \n
\n
\n
\n
\n
\n

input

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Updated metadata associated with the record.

\n
\n \n
\n
\n
\n
\n
\n

tag_operations

\n
\n

object

\n

Explicit tag operations for updating records. Operations are applied in order, Remove then Add then Set. set is the final override; if specified, the result of remove and add is discarded.

\n
\n
\n
\n
\n
\n

add

\n
\n

[string]

\n

List of tag strings.

\n
\n \n
\n
\n
\n
\n
\n

remove

\n
\n

[string]

\n

List of tag strings.

\n
\n \n
\n
\n
\n
\n
\n

set

\n
\n

[string]

\n

List of tag strings.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for batch-updating records in an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for batch-updating records in an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

create_new_version

\n
\n

boolean

\n

Whether to create a new dataset version when applying the batch update. Defaults to true.

\n
\n \n
\n
\n
\n
\n
\n

delete_records

\n
\n

[string]

\n

Record IDs to delete.

\n
\n \n
\n
\n
\n
\n
\n

insert_records

\n
\n

[object]

\n

Records to insert.

\n
\n
\n
\n
\n
\n

expected_output

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Optional user-provided identifier for the record. If omitted, the server generates an identifier.

\n
\n \n
\n
\n
\n
\n
\n

input [required]

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the record.

\n
\n \n
\n
\n
\n
\n
\n

tag_operations

\n
\n

object

\n

Explicit tag operations for updating records. Operations are applied in order, Remove then Add then Set. set is the final override; if specified, the result of remove and add is discarded.

\n
\n
\n
\n
\n
\n

add

\n
\n

[string]

\n

List of tag strings.

\n
\n \n
\n
\n
\n
\n
\n

remove

\n
\n

[string]

\n

List of tag strings.

\n
\n \n
\n
\n
\n
\n
\n

set

\n
\n

[string]

\n

List of tag strings.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

List of tag strings.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

List of tag strings.

\n
\n \n
\n
\n
\n
\n
\n

update_records

\n
\n

[object]

\n

Records to update by ID.

\n
\n
\n
\n
\n
\n

expected_output

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the record to update.

\n
\n \n
\n
\n
\n
\n
\n

input

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Updated metadata associated with the record.

\n
\n \n
\n
\n
\n
\n
\n

tag_operations

\n
\n

object

\n

Explicit tag operations for updating records. Operations are applied in order, Remove then Add then Set. set is the final override; if specified, the result of remove and add is discarded.

\n
\n
\n
\n
\n
\n

add

\n
\n

[string]

\n

List of tag strings.

\n
\n \n
\n
\n
\n
\n
\n

remove

\n
\n

[string]

\n

List of tag strings.

\n
\n \n
\n
\n
\n
\n
\n

set

\n
\n

[string]

\n

List of tag strings.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" } }, "CloneLLMObsDataset": { @@ -8237,7 +8237,7 @@ "type": "datasets" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was created.

\n
\n \n
\n
\n
\n
\n
\n

current_version [required]

\n
\n

int64

\n

Current version number of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

created_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was created.

\n
\n \n
\n
\n
\n
\n
\n

current_version [required]

\n
\n

int64

\n

Current version number of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

description [required]

\n
\n

string

\n

Description of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

metadata [required]

\n
\n

object

\n

Arbitrary metadata associated with the dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

updated_at [required]

\n
\n

date-time

\n

Timestamp when the dataset was last updated.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -8358,7 +8358,7 @@ "type": "datasets" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for cloning an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for cloning an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the cloned dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the cloned dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Identifier of the source dataset to clone.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for cloning an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for cloning an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

description

\n
\n

string

\n

Description of the cloned dataset.

\n
\n \n
\n
\n
\n
\n
\n

name [required]

\n
\n

string

\n

Name of the cloned dataset.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Identifier of the source dataset to clone.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" } }, "GetLLMObsDatasetDraftState": { @@ -8380,7 +8380,7 @@ "type": "draft_state_data" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an LLM Observability dataset draft state.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability dataset draft state.

\n
\n
\n
\n
\n
\n

drafting_since [required]

\n
\n

date-time

\n

Timestamp when the dataset draft session started.

\n
\n \n
\n
\n
\n
\n
\n

user [required]

\n
\n

object

\n

User information associated with a dataset draft state.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n

handle

\n
\n

string

\n

Handle of the user.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

Icon for the user.

\n
\n \n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the user holding the draft lock.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset draft state. Matches the dataset ID.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset draft state. \nAllowed enum values: draft_state_data

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability dataset draft state.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability dataset draft state.

\n
\n
\n
\n
\n
\n

drafting_since [required]

\n
\n

date-time

\n

Timestamp when the dataset draft session started.

\n
\n \n
\n
\n
\n
\n
\n

user [required]

\n
\n

object

\n

User information associated with a dataset draft state.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n

handle

\n
\n

string

\n

Handle of the user.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

Icon for the user.

\n
\n \n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the user holding the draft lock.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset draft state. Matches the dataset ID.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset draft state. \nAllowed enum values: draft_state_data

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -8506,7 +8506,7 @@ "type": "draft_state_data" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an LLM Observability dataset draft state.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability dataset draft state.

\n
\n
\n
\n
\n
\n

drafting_since [required]

\n
\n

date-time

\n

Timestamp when the dataset draft session started.

\n
\n \n
\n
\n
\n
\n
\n

user [required]

\n
\n

object

\n

User information associated with a dataset draft state.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n

handle

\n
\n

string

\n

Handle of the user.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

Icon for the user.

\n
\n \n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the user holding the draft lock.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset draft state. Matches the dataset ID.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset draft state. \nAllowed enum values: draft_state_data

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for an Agent Observability dataset draft state.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability dataset draft state.

\n
\n
\n
\n
\n
\n

drafting_since [required]

\n
\n

date-time

\n

Timestamp when the dataset draft session started.

\n
\n \n
\n
\n
\n
\n
\n

user [required]

\n
\n

object

\n

User information associated with a dataset draft state.

\n
\n
\n
\n
\n
\n

email

\n
\n

string

\n

Email address of the user.

\n
\n \n
\n
\n
\n
\n
\n

handle

\n
\n

string

\n

Handle of the user.

\n
\n \n
\n
\n
\n
\n
\n

icon

\n
\n

string

\n

Icon for the user.

\n
\n \n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the user holding the draft lock.

\n
\n \n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Display name of the user.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset draft state. Matches the dataset ID.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset draft state. \nAllowed enum values: draft_state_data

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -9088,7 +9088,7 @@ "type": "records" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for updating records in an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for updating records in an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

records [required]

\n
\n

[object]

\n

List of records to update.

\n
\n
\n
\n
\n
\n

expected_output

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the record to update.

\n
\n \n
\n
\n
\n
\n
\n

input

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Updated metadata associated with the record.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of LLM Observability dataset records. \nAllowed enum values: records

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for updating records in an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for updating records in an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

records [required]

\n
\n

[object]

\n

List of records to update.

\n
\n
\n
\n
\n
\n

expected_output

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the record to update.

\n
\n \n
\n
\n
\n
\n
\n

input

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Updated metadata associated with the record.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of Agent Observability dataset records. \nAllowed enum values: records

\n
\n \n
\n
\n
\n
" } }, "CreateLLMObsDatasetRecords": { @@ -9260,7 +9260,7 @@ "type": "records" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for appending records to an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for appending records to an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

deduplicate

\n
\n

boolean

\n

Whether to deduplicate records before appending. Defaults to true.

\n
\n \n
\n
\n
\n
\n
\n

records [required]

\n
\n

[object]

\n

List of records to append to the dataset.

\n
\n
\n
\n
\n
\n

expected_output

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

input [required]

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the record.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of LLM Observability dataset records. \nAllowed enum values: records

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for appending records to an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for appending records to an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

deduplicate

\n
\n

boolean

\n

Whether to deduplicate records before appending. Defaults to true.

\n
\n \n
\n
\n
\n
\n
\n

records [required]

\n
\n

[object]

\n

List of records to append to the dataset.

\n
\n
\n
\n
\n
\n

expected_output

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

input [required]

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the record.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of Agent Observability dataset records. \nAllowed enum values: records

\n
\n \n
\n
\n
\n
" } }, "DeleteLLMObsDatasetRecords": { @@ -9367,7 +9367,7 @@ "type": "records" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for deleting records from an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for deleting records from an LLM Observability dataset.

\n
\n
\n
\n
\n
\n

record_ids [required]

\n
\n

[string]

\n

List of record IDs to delete.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of LLM Observability dataset records. \nAllowed enum values: records

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for deleting records from an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for deleting records from an Agent Observability dataset.

\n
\n
\n
\n
\n
\n

record_ids [required]

\n
\n

[string]

\n

List of record IDs to delete.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of Agent Observability dataset records. \nAllowed enum values: records

\n
\n \n
\n
\n
\n
" } }, "RestoreLLMObsDatasetVersion": { @@ -9490,7 +9490,7 @@ "type": "datasets" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for restoring an LLM Observability dataset to a previous version.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for restoring an LLM Observability dataset to a previous version.

\n
\n
\n
\n
\n
\n

dataset_version [required]

\n
\n

int32

\n

Version number of the dataset to restore. Must be between 0 and the current version of the dataset, inclusive.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset to restore.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

Data object for restoring an Agent Observability dataset to a previous version.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes for restoring an Agent Observability dataset to a previous version.

\n
\n
\n
\n
\n
\n

dataset_version [required]

\n
\n

int32

\n

Version number of the dataset to restore. Must be between 0 and the current version of the dataset, inclusive.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset to restore.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset. \nAllowed enum values: datasets

\n
\n \n
\n
\n
\n
" } }, "ListLLMObsDatasetVersions": { @@ -9509,7 +9509,7 @@ } ] }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of dataset versions.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an LLM Observability dataset version.

\n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Unique identifier of the dataset this version belongs to.

\n
\n \n
\n
\n
\n
\n
\n

last_used [required]

\n
\n

date-time

\n

Timestamp when this dataset version was last referenced. Null if the version has never been used.

\n
\n \n
\n
\n
\n
\n
\n

version_number [required]

\n
\n

int32

\n

Sequential version number for this dataset version.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset version.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an LLM Observability dataset version. \nAllowed enum values: dataset_version

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

[object]

\n

List of dataset versions.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an Agent Observability dataset version.

\n
\n
\n
\n
\n
\n

dataset_id [required]

\n
\n

string

\n

Unique identifier of the dataset this version belongs to.

\n
\n \n
\n
\n
\n
\n
\n

last_used [required]

\n
\n

date-time

\n

Timestamp when this dataset version was last referenced. Null if the version has never been used.

\n
\n \n
\n
\n
\n
\n
\n

version_number [required]

\n
\n

int32

\n

Sequential version number for this dataset version.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Unique identifier of the dataset version.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type of an Agent Observability dataset version. \nAllowed enum values: dataset_version

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -9703,7 +9703,7 @@ "after": "string" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

JSON:API data object for an experiment events response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an experiment events response.

\n
\n
\n
\n
\n
\n

spans [required]

\n
\n

[object]

\n

Experiment spans, each enriched with their associated evaluation metrics.

\n
\n
\n
\n
\n
\n

dataset_record_id

\n
\n

string

\n

ID of the dataset record this span evaluated.

\n
\n \n
\n
\n
\n
\n
\n

duration

\n
\n

double

\n

Duration of the span in nanoseconds.

\n
\n \n
\n
\n
\n
\n
\n

eval_metrics

\n
\n

[object]

\n

Evaluation metrics associated with this span.

\n
\n
\n
\n
\n
\n

assessment

\n
\n

enum

\n

Assessment result for an LLM Observability experiment metric. \nAllowed enum values: pass,fail

\n
\n \n
\n
\n
\n
\n
\n

boolean_value

\n
\n

boolean

\n

Boolean value. Present when metric_type is boolean.

\n
\n \n
\n
\n
\n
\n
\n

categorical_value

\n
\n

string

\n

Categorical value. Present when metric_type is categorical.

\n
\n \n
\n
\n
\n
\n
\n

eval_source_type

\n
\n

string

\n

Source type of the evaluation.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the evaluation metric event.

\n
\n \n
\n
\n
\n
\n
\n

json_value

\n
\n

object

\n

JSON value. Present when metric_type is json.

\n
\n \n
\n
\n
\n
\n
\n

label

\n
\n

string

\n

Label or name for the metric.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

metric_source

\n
\n

string

\n

Source of the metric. Either custom (user-submitted) or summary (experiment-level aggregate).

\n
\n \n
\n
\n
\n
\n
\n

metric_type

\n
\n

enum

\n

Type of metric recorded for an LLM Observability experiment. \nAllowed enum values: score,categorical,boolean,json

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Human-readable reasoning for the metric value.

\n
\n \n
\n
\n
\n
\n
\n

score_value

\n
\n

double

\n

Numeric score. Present when metric_type is score.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Span ID this metric is associated with.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

timestamp_ms

\n
\n

int64

\n

Timestamp when the metric was recorded, in milliseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Trace ID linking this metric to a span.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Metadata associated with an experiment span.

\n
\n
\n
\n
\n
\n

error

\n
\n

object

\n

Error details for an experiment span.

\n
\n
\n
\n
\n
\n

message

\n
\n

string

\n

Error message.

\n
\n \n
\n
\n
\n
\n
\n

stack

\n
\n

string

\n

Stack trace of the error.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

The error type or exception class name.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

expected_output

\n
\n

object

\n

Expected output for the span, used for evaluation.

\n
\n \n
\n
\n
\n
\n
\n

input

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

output

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

metrics

\n
\n

object

\n

Numeric metrics attached to the span.

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

double

\n
\n
\n \n
\n
\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the span.

\n
\n \n
\n
\n
\n
\n
\n

parent_id

\n
\n

string

\n

Parent span ID, if any.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Span ID.

\n
\n \n
\n
\n
\n
\n
\n

start_ns

\n
\n

int64

\n

Start time in nanoseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Status of the span. \nAllowed enum values: ok,error

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the span.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Trace ID.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

summary_metrics [required]

\n
\n

[object]

\n

Experiment-level summary evaluation metrics (not tied to individual spans).

\n
\n
\n
\n
\n
\n

assessment

\n
\n

enum

\n

Assessment result for an LLM Observability experiment metric. \nAllowed enum values: pass,fail

\n
\n \n
\n
\n
\n
\n
\n

boolean_value

\n
\n

boolean

\n

Boolean value. Present when metric_type is boolean.

\n
\n \n
\n
\n
\n
\n
\n

categorical_value

\n
\n

string

\n

Categorical value. Present when metric_type is categorical.

\n
\n \n
\n
\n
\n
\n
\n

eval_source_type

\n
\n

string

\n

Source type of the evaluation.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the evaluation metric event.

\n
\n \n
\n
\n
\n
\n
\n

json_value

\n
\n

object

\n

JSON value. Present when metric_type is json.

\n
\n \n
\n
\n
\n
\n
\n

label

\n
\n

string

\n

Label or name for the metric.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

metric_source

\n
\n

string

\n

Source of the metric. Either custom (user-submitted) or summary (experiment-level aggregate).

\n
\n \n
\n
\n
\n
\n
\n

metric_type

\n
\n

enum

\n

Type of metric recorded for an LLM Observability experiment. \nAllowed enum values: score,categorical,boolean,json

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Human-readable reasoning for the metric value.

\n
\n \n
\n
\n
\n
\n
\n

score_value

\n
\n

double

\n

Numeric score. Present when metric_type is score.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Span ID this metric is associated with.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

timestamp_ms

\n
\n

int64

\n

Timestamp when the metric was recorded, in milliseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Trace ID linking this metric to a span.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Identifier for this events resource.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for an experiment events collection. \nAllowed enum values: experiment_events

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Pagination cursor metadata.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor for the next page of results.

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

JSON:API data object for an experiment events response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an experiment events response.

\n
\n
\n
\n
\n
\n

spans [required]

\n
\n

[object]

\n

Experiment spans, each enriched with their associated evaluation metrics.

\n
\n
\n
\n
\n
\n

dataset_record_id

\n
\n

string

\n

ID of the dataset record this span evaluated.

\n
\n \n
\n
\n
\n
\n
\n

duration

\n
\n

double

\n

Duration of the span in nanoseconds.

\n
\n \n
\n
\n
\n
\n
\n

eval_metrics

\n
\n

[object]

\n

Evaluation metrics associated with this span.

\n
\n
\n
\n
\n
\n

assessment

\n
\n

enum

\n

Assessment result for an Agent Observability experiment metric. \nAllowed enum values: pass,fail

\n
\n \n
\n
\n
\n
\n
\n

boolean_value

\n
\n

boolean

\n

Boolean value. Present when metric_type is boolean.

\n
\n \n
\n
\n
\n
\n
\n

categorical_value

\n
\n

string

\n

Categorical value. Present when metric_type is categorical.

\n
\n \n
\n
\n
\n
\n
\n

eval_source_type

\n
\n

string

\n

Source type of the evaluation.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the evaluation metric event.

\n
\n \n
\n
\n
\n
\n
\n

json_value

\n
\n

object

\n

JSON value. Present when metric_type is json.

\n
\n \n
\n
\n
\n
\n
\n

label

\n
\n

string

\n

Label or name for the metric.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

metric_source

\n
\n

string

\n

Source of the metric. Either custom (user-submitted) or summary (experiment-level aggregate).

\n
\n \n
\n
\n
\n
\n
\n

metric_type

\n
\n

enum

\n

Type of metric recorded for an Agent Observability experiment. \nAllowed enum values: score,categorical,boolean,json

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Human-readable reasoning for the metric value.

\n
\n \n
\n
\n
\n
\n
\n

score_value

\n
\n

double

\n

Numeric score. Present when metric_type is score.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Span ID this metric is associated with.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

timestamp_ms

\n
\n

int64

\n

Timestamp when the metric was recorded, in milliseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Trace ID linking this metric to a span.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Metadata associated with an experiment span.

\n
\n
\n
\n
\n
\n

error

\n
\n

object

\n

Error details for an experiment span.

\n
\n
\n
\n
\n
\n

message

\n
\n

string

\n

Error message.

\n
\n \n
\n
\n
\n
\n
\n

stack

\n
\n

string

\n

Stack trace of the error.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

The error type or exception class name.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

expected_output

\n
\n

object

\n

Expected output for the span, used for evaluation.

\n
\n \n
\n
\n
\n
\n
\n

input

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

output

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

metrics

\n
\n

object

\n

Numeric metrics attached to the span.

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

double

\n
\n
\n \n
\n
\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the span.

\n
\n \n
\n
\n
\n
\n
\n

parent_id

\n
\n

string

\n

Parent span ID, if any.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Span ID.

\n
\n \n
\n
\n
\n
\n
\n

start_ns

\n
\n

int64

\n

Start time in nanoseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Status of the span. \nAllowed enum values: ok,error

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the span.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Trace ID.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

summary_metrics [required]

\n
\n

[object]

\n

Experiment-level summary evaluation metrics (not tied to individual spans).

\n
\n
\n
\n
\n
\n

assessment

\n
\n

enum

\n

Assessment result for an Agent Observability experiment metric. \nAllowed enum values: pass,fail

\n
\n \n
\n
\n
\n
\n
\n

boolean_value

\n
\n

boolean

\n

Boolean value. Present when metric_type is boolean.

\n
\n \n
\n
\n
\n
\n
\n

categorical_value

\n
\n

string

\n

Categorical value. Present when metric_type is categorical.

\n
\n \n
\n
\n
\n
\n
\n

eval_source_type

\n
\n

string

\n

Source type of the evaluation.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the evaluation metric event.

\n
\n \n
\n
\n
\n
\n
\n

json_value

\n
\n

object

\n

JSON value. Present when metric_type is json.

\n
\n \n
\n
\n
\n
\n
\n

label

\n
\n

string

\n

Label or name for the metric.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

metric_source

\n
\n

string

\n

Source of the metric. Either custom (user-submitted) or summary (experiment-level aggregate).

\n
\n \n
\n
\n
\n
\n
\n

metric_type

\n
\n

enum

\n

Type of metric recorded for an Agent Observability experiment. \nAllowed enum values: score,categorical,boolean,json

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Human-readable reasoning for the metric value.

\n
\n \n
\n
\n
\n
\n
\n

score_value

\n
\n

double

\n

Numeric score. Present when metric_type is score.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Span ID this metric is associated with.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

timestamp_ms

\n
\n

int64

\n

Timestamp when the metric was recorded, in milliseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Trace ID linking this metric to a span.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Identifier for this events resource.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for an experiment events collection. \nAllowed enum values: experiment_events

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Pagination cursor metadata.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor for the next page of results.

\n
\n \n
\n
\n
\n
" }, "400": { "json": { @@ -10006,7 +10006,7 @@ "after": "string" } }, - "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

JSON:API data object for an experiment events response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an experiment events response.

\n
\n
\n
\n
\n
\n

spans [required]

\n
\n

[object]

\n

Experiment spans, each enriched with their associated evaluation metrics.

\n
\n
\n
\n
\n
\n

dataset_record_id

\n
\n

string

\n

ID of the dataset record this span evaluated.

\n
\n \n
\n
\n
\n
\n
\n

duration

\n
\n

double

\n

Duration of the span in nanoseconds.

\n
\n \n
\n
\n
\n
\n
\n

eval_metrics

\n
\n

[object]

\n

Evaluation metrics associated with this span.

\n
\n
\n
\n
\n
\n

assessment

\n
\n

enum

\n

Assessment result for an LLM Observability experiment metric. \nAllowed enum values: pass,fail

\n
\n \n
\n
\n
\n
\n
\n

boolean_value

\n
\n

boolean

\n

Boolean value. Present when metric_type is boolean.

\n
\n \n
\n
\n
\n
\n
\n

categorical_value

\n
\n

string

\n

Categorical value. Present when metric_type is categorical.

\n
\n \n
\n
\n
\n
\n
\n

eval_source_type

\n
\n

string

\n

Source type of the evaluation.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the evaluation metric event.

\n
\n \n
\n
\n
\n
\n
\n

json_value

\n
\n

object

\n

JSON value. Present when metric_type is json.

\n
\n \n
\n
\n
\n
\n
\n

label

\n
\n

string

\n

Label or name for the metric.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

metric_source

\n
\n

string

\n

Source of the metric. Either custom (user-submitted) or summary (experiment-level aggregate).

\n
\n \n
\n
\n
\n
\n
\n

metric_type

\n
\n

enum

\n

Type of metric recorded for an LLM Observability experiment. \nAllowed enum values: score,categorical,boolean,json

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Human-readable reasoning for the metric value.

\n
\n \n
\n
\n
\n
\n
\n

score_value

\n
\n

double

\n

Numeric score. Present when metric_type is score.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Span ID this metric is associated with.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

timestamp_ms

\n
\n

int64

\n

Timestamp when the metric was recorded, in milliseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Trace ID linking this metric to a span.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Metadata associated with an experiment span.

\n
\n
\n
\n
\n
\n

error

\n
\n

object

\n

Error details for an experiment span.

\n
\n
\n
\n
\n
\n

message

\n
\n

string

\n

Error message.

\n
\n \n
\n
\n
\n
\n
\n

stack

\n
\n

string

\n

Stack trace of the error.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

The error type or exception class name.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

expected_output

\n
\n

object

\n

Expected output for the span, used for evaluation.

\n
\n \n
\n
\n
\n
\n
\n

input

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

output

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

metrics

\n
\n

object

\n

Numeric metrics attached to the span.

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

double

\n
\n
\n \n
\n
\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the span.

\n
\n \n
\n
\n
\n
\n
\n

parent_id

\n
\n

string

\n

Parent span ID, if any.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Span ID.

\n
\n \n
\n
\n
\n
\n
\n

start_ns

\n
\n

int64

\n

Start time in nanoseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Status of the span. \nAllowed enum values: ok,error

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the span.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Trace ID.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

summary_metrics [required]

\n
\n

[object]

\n

Experiment-level summary evaluation metrics (not tied to individual spans).

\n
\n
\n
\n
\n
\n

assessment

\n
\n

enum

\n

Assessment result for an LLM Observability experiment metric. \nAllowed enum values: pass,fail

\n
\n \n
\n
\n
\n
\n
\n

boolean_value

\n
\n

boolean

\n

Boolean value. Present when metric_type is boolean.

\n
\n \n
\n
\n
\n
\n
\n

categorical_value

\n
\n

string

\n

Categorical value. Present when metric_type is categorical.

\n
\n \n
\n
\n
\n
\n
\n

eval_source_type

\n
\n

string

\n

Source type of the evaluation.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the evaluation metric event.

\n
\n \n
\n
\n
\n
\n
\n

json_value

\n
\n

object

\n

JSON value. Present when metric_type is json.

\n
\n \n
\n
\n
\n
\n
\n

label

\n
\n

string

\n

Label or name for the metric.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

metric_source

\n
\n

string

\n

Source of the metric. Either custom (user-submitted) or summary (experiment-level aggregate).

\n
\n \n
\n
\n
\n
\n
\n

metric_type

\n
\n

enum

\n

Type of metric recorded for an LLM Observability experiment. \nAllowed enum values: score,categorical,boolean,json

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Human-readable reasoning for the metric value.

\n
\n \n
\n
\n
\n
\n
\n

score_value

\n
\n

double

\n

Numeric score. Present when metric_type is score.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Span ID this metric is associated with.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

timestamp_ms

\n
\n

int64

\n

Timestamp when the metric was recorded, in milliseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Trace ID linking this metric to a span.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Identifier for this events resource.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for an experiment events collection. \nAllowed enum values: experiment_events

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Pagination cursor metadata.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor for the next page of results.

\n
\n \n
\n
\n
\n
" + "html": "
\n
\n
\n
\n

data [required]

\n
\n

object

\n

JSON:API data object for an experiment events response.

\n
\n
\n
\n
\n
\n

attributes [required]

\n
\n

object

\n

Attributes of an experiment events response.

\n
\n
\n
\n
\n
\n

spans [required]

\n
\n

[object]

\n

Experiment spans, each enriched with their associated evaluation metrics.

\n
\n
\n
\n
\n
\n

dataset_record_id

\n
\n

string

\n

ID of the dataset record this span evaluated.

\n
\n \n
\n
\n
\n
\n
\n

duration

\n
\n

double

\n

Duration of the span in nanoseconds.

\n
\n \n
\n
\n
\n
\n
\n

eval_metrics

\n
\n

[object]

\n

Evaluation metrics associated with this span.

\n
\n
\n
\n
\n
\n

assessment

\n
\n

enum

\n

Assessment result for an Agent Observability experiment metric. \nAllowed enum values: pass,fail

\n
\n \n
\n
\n
\n
\n
\n

boolean_value

\n
\n

boolean

\n

Boolean value. Present when metric_type is boolean.

\n
\n \n
\n
\n
\n
\n
\n

categorical_value

\n
\n

string

\n

Categorical value. Present when metric_type is categorical.

\n
\n \n
\n
\n
\n
\n
\n

eval_source_type

\n
\n

string

\n

Source type of the evaluation.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the evaluation metric event.

\n
\n \n
\n
\n
\n
\n
\n

json_value

\n
\n

object

\n

JSON value. Present when metric_type is json.

\n
\n \n
\n
\n
\n
\n
\n

label

\n
\n

string

\n

Label or name for the metric.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

metric_source

\n
\n

string

\n

Source of the metric. Either custom (user-submitted) or summary (experiment-level aggregate).

\n
\n \n
\n
\n
\n
\n
\n

metric_type

\n
\n

enum

\n

Type of metric recorded for an Agent Observability experiment. \nAllowed enum values: score,categorical,boolean,json

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Human-readable reasoning for the metric value.

\n
\n \n
\n
\n
\n
\n
\n

score_value

\n
\n

double

\n

Numeric score. Present when metric_type is score.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Span ID this metric is associated with.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

timestamp_ms

\n
\n

int64

\n

Timestamp when the metric was recorded, in milliseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Trace ID linking this metric to a span.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the span.

\n
\n \n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Metadata associated with an experiment span.

\n
\n
\n
\n
\n
\n

error

\n
\n

object

\n

Error details for an experiment span.

\n
\n
\n
\n
\n
\n

message

\n
\n

string

\n

Error message.

\n
\n \n
\n
\n
\n
\n
\n

stack

\n
\n

string

\n

Stack trace of the error.

\n
\n \n
\n
\n
\n
\n
\n

type

\n
\n

string

\n

The error type or exception class name.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

expected_output

\n
\n

object

\n

Expected output for the span, used for evaluation.

\n
\n \n
\n
\n
\n
\n
\n

input

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

output

\n
\n

object <oneOf>

\n

Represents any valid JSON value.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

[ <oneOf>]

\n

An array of arbitrary values.

\n
\n
\n
\n
\n
\n

Object 1

\n
\n

string

\n

A scalar string value.

\n
\n \n
\n
\n
\n
\n
\n

Object 2

\n
\n

double

\n

A scalar numeric value.

\n
\n \n
\n
\n
\n
\n
\n

Object 3

\n
\n

object

\n

An arbitrary object value with additional properties.

\n
\n \n
\n
\n
\n
\n
\n

Object 4

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

Object 5

\n
\n

boolean

\n

A scalar boolean value.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

metrics

\n
\n

object

\n

Numeric metrics attached to the span.

\n
\n
\n
\n
\n
\n

<any-key>

\n
\n

double

\n
\n
\n \n
\n
\n
\n
\n
\n
\n
\n

name

\n
\n

string

\n

Name of the span.

\n
\n \n
\n
\n
\n
\n
\n

parent_id

\n
\n

string

\n

Parent span ID, if any.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Span ID.

\n
\n \n
\n
\n
\n
\n
\n

start_ns

\n
\n

int64

\n

Start time in nanoseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

status

\n
\n

enum

\n

Status of the span. \nAllowed enum values: ok,error

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the span.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Trace ID.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

summary_metrics [required]

\n
\n

[object]

\n

Experiment-level summary evaluation metrics (not tied to individual spans).

\n
\n
\n
\n
\n
\n

assessment

\n
\n

enum

\n

Assessment result for an Agent Observability experiment metric. \nAllowed enum values: pass,fail

\n
\n \n
\n
\n
\n
\n
\n

boolean_value

\n
\n

boolean

\n

Boolean value. Present when metric_type is boolean.

\n
\n \n
\n
\n
\n
\n
\n

categorical_value

\n
\n

string

\n

Categorical value. Present when metric_type is categorical.

\n
\n \n
\n
\n
\n
\n
\n

eval_source_type

\n
\n

string

\n

Source type of the evaluation.

\n
\n \n
\n
\n
\n
\n
\n

id

\n
\n

string

\n

Unique identifier of the evaluation metric event.

\n
\n \n
\n
\n
\n
\n
\n

json_value

\n
\n

object

\n

JSON value. Present when metric_type is json.

\n
\n \n
\n
\n
\n
\n
\n

label

\n
\n

string

\n

Label or name for the metric.

\n
\n \n
\n
\n
\n
\n
\n

metadata

\n
\n

object

\n

Arbitrary metadata associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

metric_source

\n
\n

string

\n

Source of the metric. Either custom (user-submitted) or summary (experiment-level aggregate).

\n
\n \n
\n
\n
\n
\n
\n

metric_type

\n
\n

enum

\n

Type of metric recorded for an Agent Observability experiment. \nAllowed enum values: score,categorical,boolean,json

\n
\n \n
\n
\n
\n
\n
\n

reasoning

\n
\n

string

\n

Human-readable reasoning for the metric value.

\n
\n \n
\n
\n
\n
\n
\n

score_value

\n
\n

double

\n

Numeric score. Present when metric_type is score.

\n
\n \n
\n
\n
\n
\n
\n

span_id

\n
\n

string

\n

Span ID this metric is associated with.

\n
\n \n
\n
\n
\n
\n
\n

tags

\n
\n

[string]

\n

Tags associated with the metric.

\n
\n \n
\n
\n
\n
\n
\n

timestamp_ms

\n
\n

int64

\n

Timestamp when the metric was recorded, in milliseconds since Unix epoch.

\n
\n \n
\n
\n
\n
\n
\n

trace_id

\n
\n

string

\n

Trace ID linking this metric to a span.

\n
\n \n
\n
\n
\n
\n
\n
\n
\n
\n
\n

id [required]

\n
\n

string

\n

Identifier for this events resource.

\n
\n \n
\n
\n
\n
\n
\n

type [required]

\n
\n

enum

\n

Resource type for an experiment events collection. \nAllowed enum values: experiment_events

\n
\n \n
\n
\n
\n
\n
\n
\n
\n

meta

\n
\n

object

\n

Pagination cursor metadata.

\n
\n
\n
\n
\n
\n

after

\n
\n

string

\n

Cursor for the next page of results.

\n
\n \n
\n
\n
\n
" }, "400": { "json": { diff --git a/hugo/data/api/v1/full_spec.yaml b/hugo/data/api/v1/full_spec.yaml index 21ad8c3abb0..96a73287b10 100644 --- a/hugo/data/api/v1/full_spec.yaml +++ b/hugo/data/api/v1/full_spec.yaml @@ -11114,11 +11114,11 @@ components: format: double type: number llm_observability_percentage: - description: The percentage of LLM Observability usage by tag(s). + description: The percentage of Agent Observability usage by tag(s). format: double type: number llm_observability_usage: - description: The LLM Observability usage by tag(s). + description: The Agent Observability usage by tag(s). format: double type: number llm_spans_percentage: @@ -24505,27 +24505,27 @@ components: format: int64 type: integer llm_observability_15day_retention_spans_sum: - description: Shows the sum of all LLM Observability 15-day retention spans over all hours in the current date for all organizations. + description: Shows the sum of all Agent Observability 15-day retention spans over all hours in the current date for all organizations. format: int64 type: integer llm_observability_30day_retention_spans_sum: - description: Shows the sum of all LLM Observability 30-day retention spans over all hours in the current date for all organizations. + description: Shows the sum of all Agent Observability 30-day retention spans over all hours in the current date for all organizations. format: int64 type: integer llm_observability_60day_retention_spans_sum: - description: Shows the sum of all LLM Observability 60-day retention spans over all hours in the current date for all organizations. + description: Shows the sum of all Agent Observability 60-day retention spans over all hours in the current date for all organizations. format: int64 type: integer llm_observability_90day_retention_spans_sum: - description: Shows the sum of all LLM Observability 90-day retention spans over all hours in the current date for all organizations. + description: Shows the sum of all Agent Observability 90-day retention spans over all hours in the current date for all organizations. format: int64 type: integer llm_observability_min_spend_sum: - description: Sum of all LLM observability minimum spend over all hours in the current date for all organizations. + description: Sum of all Agent observability minimum spend over all hours in the current date for all organizations. format: int64 type: integer llm_observability_sum: - description: Sum of all LLM observability sessions over all hours in the current date for all organizations. + description: Sum of all Agent observability sessions over all hours in the current date for all organizations. format: int64 type: integer logs_archive_search_gb_scanned_sum: @@ -25750,27 +25750,27 @@ components: format: int64 type: integer llm_observability_15day_retention_spans_sum: - description: Shows the sum of all LLM Observability 15-day retention spans over all hours in the current date for the given org. + description: Shows the sum of all Agent Observability 15-day retention spans over all hours in the current date for the given org. format: int64 type: integer llm_observability_30day_retention_spans_sum: - description: Shows the sum of all LLM Observability 30-day retention spans over all hours in the current date for the given org. + description: Shows the sum of all Agent Observability 30-day retention spans over all hours in the current date for the given org. format: int64 type: integer llm_observability_60day_retention_spans_sum: - description: Shows the sum of all LLM Observability 60-day retention spans over all hours in the current date for the given org. + description: Shows the sum of all Agent Observability 60-day retention spans over all hours in the current date for the given org. format: int64 type: integer llm_observability_90day_retention_spans_sum: - description: Shows the sum of all LLM Observability 90-day retention spans over all hours in the current date for the given org. + description: Shows the sum of all Agent Observability 90-day retention spans over all hours in the current date for the given org. format: int64 type: integer llm_observability_min_spend_sum: - description: Shows the sum of all LLM Observability minimum spend over all hours in the current date for the given org. + description: Shows the sum of all Agent Observability minimum spend over all hours in the current date for the given org. format: int64 type: integer llm_observability_sum: - description: Shows the sum of all LLM observability sessions over all hours in the current date for the given org. + description: Shows the sum of all Agent observability sessions over all hours in the current date for the given org. format: int64 type: integer logs_archive_search_gb_scanned_sum: @@ -27012,27 +27012,27 @@ components: format: int64 type: integer llm_observability_15day_retention_spans_agg_sum: - description: Shows the sum of all LLM Observability 15-day retention spans over all hours in the current month for all organizations. + description: Shows the sum of all Agent Observability 15-day retention spans over all hours in the current month for all organizations. format: int64 type: integer llm_observability_30day_retention_spans_agg_sum: - description: Shows the sum of all LLM Observability 30-day retention spans over all hours in the current month for all organizations. + description: Shows the sum of all Agent Observability 30-day retention spans over all hours in the current month for all organizations. format: int64 type: integer llm_observability_60day_retention_spans_agg_sum: - description: Shows the sum of all LLM Observability 60-day retention spans over all hours in the current month for all organizations. + description: Shows the sum of all Agent Observability 60-day retention spans over all hours in the current month for all organizations. format: int64 type: integer llm_observability_90day_retention_spans_agg_sum: - description: Shows the sum of all LLM Observability 90-day retention spans over all hours in the current month for all organizations. + description: Shows the sum of all Agent Observability 90-day retention spans over all hours in the current month for all organizations. format: int64 type: integer llm_observability_agg_sum: - description: Sum of all LLM observability sessions for all hours in the current month for all organizations. + description: Sum of all Agent observability sessions for all hours in the current month for all organizations. format: int64 type: integer llm_observability_min_spend_agg_sum: - description: Minimum spend for LLM observability sessions for all hours in the current month for all organizations. + description: Minimum spend for Agent observability sessions for all hours in the current month for all organizations. format: int64 type: integer logs_archive_search_gb_scanned_agg_sum: diff --git a/hugo/data/api/v2/CodeExamples.json b/hugo/data/api/v2/CodeExamples.json index 79b1a9e87ba..7dbb69ddda3 100644 --- a/hugo/data/api/v2/CodeExamples.json +++ b/hugo/data/api/v2/CodeExamples.json @@ -1123,28 +1123,28 @@ { "group": "llm_observability", "suffix": "", - "description": "Create a new LLM Observability prompt version returns \"OK\" response" + "description": "Create a new Agent Observability prompt version returns \"OK\" response" } ], "CreateLLMObsPrompt": [ { "group": "llm_observability", "suffix": "", - "description": "Create an LLM Observability prompt returns \"OK\" response" + "description": "Create an Agent Observability prompt returns \"OK\" response" } ], - "UpdateLLMObsPromptVersion": [ + "UpdateLLMObsPrompt": [ { "group": "llm_observability", "suffix": "", - "description": "Update a specific LLM Observability prompt version returns \"OK\" response" + "description": "Update an Agent Observability prompt returns \"OK\" response" } ], - "UpdateLLMObsPrompt": [ + "UpdateLLMObsPromptVersion": [ { "group": "llm_observability", "suffix": "", - "description": "Update an LLM Observability prompt returns \"OK\" response" + "description": "Update an Agent Observability prompt version returns \"OK\" response" } ], "AggregateLogs": [ diff --git a/hugo/data/api/v2/full_spec.yaml b/hugo/data/api/v2/full_spec.yaml index b899a80a949..3e1da78ea41 100644 --- a/hugo/data/api/v2/full_spec.yaml +++ b/hugo/data/api/v2/full_spec.yaml @@ -974,7 +974,7 @@ components: schema: type: string LLMObsAnnotationQueueIDPathParameter: - description: The ID of the LLM Observability annotation queue. + description: The ID of the Agent Observability annotation queue. example: "00000000-0000-0000-0000-000000000001" in: path name: queue_id @@ -982,7 +982,7 @@ components: schema: type: string LLMObsDatasetIDPathParameter: - description: The ID of the LLM Observability dataset. + description: The ID of the Agent Observability dataset. example: "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d" in: path name: dataset_id @@ -990,7 +990,7 @@ components: schema: type: string LLMObsEvalNamePathParameter: - description: The name of the custom LLM Observability evaluator configuration. + description: The name of the custom Agent Observability evaluator configuration. example: "my-custom-evaluator" in: path name: eval_name @@ -998,7 +998,7 @@ components: schema: type: string LLMObsExperimentIDPathParameter: - description: The ID of the LLM Observability experiment. + description: The ID of the Agent Observability experiment. example: "3fd6b5e0-8910-4b1c-a7d0-5b84de329012" in: path name: experiment_id @@ -1066,7 +1066,7 @@ components: schema: type: string LLMObsProjectIDPathParameter: - description: The ID of the LLM Observability project. + description: The ID of the Agent Observability project. example: "a33671aa-24fd-4dcd-9b33-a8ec7dde7751" in: path name: project_id @@ -1074,7 +1074,7 @@ components: schema: type: string LLMObsPromptIDPathParameter: - description: The customer-provided identifier of the LLM Observability prompt. + description: The customer-provided identifier of the Agent Observability prompt. example: "customer-support-assistant" in: path name: prompt_id @@ -1090,7 +1090,7 @@ components: schema: type: string LLMObsPromptVersionPathParameter: - description: The version number of the LLM Observability prompt. + description: The version number of the Agent Observability prompt. example: 1 in: path name: version @@ -55988,7 +55988,7 @@ components: - $ref: "#/components/schemas/LLMObsAnnotationLabelValueStringArray" - $ref: "#/components/schemas/AnyValueBoolean" LLMObsAnnotationQueueDataAttributesRequest: - description: Attributes for creating an LLM Observability annotation queue. + description: Attributes for creating an Agent Observability annotation queue. properties: annotation_schema: $ref: "#/components/schemas/LLMObsAnnotationSchema" @@ -56009,7 +56009,7 @@ components: - project_id type: object LLMObsAnnotationQueueDataAttributesResponse: - description: Attributes of an LLM Observability annotation queue. + description: Attributes of an Agent Observability annotation queue. properties: annotation_schema: $ref: "#/components/schemas/LLMObsAnnotationSchema" @@ -56058,7 +56058,7 @@ components: - owned_by type: object LLMObsAnnotationQueueDataRequest: - description: Data object for creating an LLM Observability annotation queue. + description: Data object for creating an Agent Observability annotation queue. properties: attributes: $ref: "#/components/schemas/LLMObsAnnotationQueueDataAttributesRequest" @@ -56069,7 +56069,7 @@ components: - attributes type: object LLMObsAnnotationQueueDataResponse: - description: Data object for an LLM Observability annotation queue. + description: Data object for an Agent Observability annotation queue. properties: attributes: $ref: "#/components/schemas/LLMObsAnnotationQueueDataAttributesResponse" @@ -56153,7 +56153,7 @@ components: - attributes type: object LLMObsAnnotationQueueInteractionsRequest: - description: Request to add interactions to an LLM Observability annotation queue. + description: Request to add interactions to an Agent Observability annotation queue. properties: data: $ref: "#/components/schemas/LLMObsAnnotationQueueInteractionsDataRequest" @@ -56236,7 +56236,7 @@ components: - data type: object LLMObsAnnotationQueueRequest: - description: Request to create an LLM Observability annotation queue. + description: Request to create an Agent Observability annotation queue. properties: data: $ref: "#/components/schemas/LLMObsAnnotationQueueDataRequest" @@ -56244,7 +56244,7 @@ components: - data type: object LLMObsAnnotationQueueResponse: - description: Response containing a single LLM Observability annotation queue. + description: Response containing a single Agent Observability annotation queue. properties: data: $ref: "#/components/schemas/LLMObsAnnotationQueueDataResponse" @@ -56252,7 +56252,7 @@ components: - data type: object LLMObsAnnotationQueueType: - description: Resource type of an LLM Observability annotation queue. + description: Resource type of an Agent Observability annotation queue. enum: - queues example: queues @@ -56260,7 +56260,7 @@ components: x-enum-varnames: - QUEUES LLMObsAnnotationQueueUpdateDataAttributesRequest: - description: Attributes for updating an LLM Observability annotation queue. All fields are optional. + description: Attributes for updating an Agent Observability annotation queue. All fields are optional. properties: annotation_schema: $ref: "#/components/schemas/LLMObsAnnotationSchema" @@ -56274,7 +56274,7 @@ components: type: string type: object LLMObsAnnotationQueueUpdateDataRequest: - description: Data object for updating an LLM Observability annotation queue. + description: Data object for updating an Agent Observability annotation queue. properties: attributes: $ref: "#/components/schemas/LLMObsAnnotationQueueUpdateDataAttributesRequest" @@ -56285,7 +56285,7 @@ components: - attributes type: object LLMObsAnnotationQueueUpdateRequest: - description: Request to update an LLM Observability annotation queue. + description: Request to update an Agent Observability annotation queue. properties: data: $ref: "#/components/schemas/LLMObsAnnotationQueueUpdateDataRequest" @@ -56293,7 +56293,7 @@ components: - data type: object LLMObsAnnotationQueuesResponse: - description: Response containing a list of LLM Observability annotation queues. + description: Response containing a list of Agent Observability annotation queues. properties: data: description: List of annotation queues. @@ -56386,7 +56386,7 @@ components: - data type: object LLMObsAnnotationsType: - description: Resource type for LLM Observability annotations. + description: Resource type for Agent Observability annotations. enum: - annotations example: annotations @@ -56620,7 +56620,7 @@ components: minItems: 1 type: array LLMObsCreatePromptData: - description: Data object for creating an LLM Observability prompt. + description: Data object for creating an Agent Observability prompt. properties: attributes: $ref: "#/components/schemas/LLMObsCreatePromptDataAttributes" @@ -56632,7 +56632,7 @@ components: type: object LLMObsCreatePromptDataAttributes: description: >- - Attributes for creating an LLM Observability prompt and its first version. `prompt_id` and `template` are required; all other attributes are optional. + Attributes for creating an Agent Observability prompt and its first version. `prompt_id` and `template` are required; all other attributes are optional. properties: description: description: Optional description of the prompt. @@ -56668,7 +56668,7 @@ components: - template type: object LLMObsCreatePromptRequest: - description: Request to create an LLM Observability prompt. + description: Request to create an Agent Observability prompt. properties: data: $ref: "#/components/schemas/LLMObsCreatePromptData" @@ -56676,7 +56676,7 @@ components: - data type: object LLMObsCreatePromptVersionData: - description: Data object for creating an LLM Observability prompt version. + description: Data object for creating an Agent Observability prompt version. properties: attributes: $ref: "#/components/schemas/LLMObsCreatePromptVersionDataAttributes" @@ -56688,7 +56688,7 @@ components: type: object LLMObsCreatePromptVersionDataAttributes: description: >- - Attributes for creating a new version of an LLM Observability prompt. `template` is required; all other attributes are optional. + Attributes for creating a new version of an Agent Observability prompt. `template` is required; all other attributes are optional. properties: description: description: Optional description of this version. @@ -56714,7 +56714,7 @@ components: - template type: object LLMObsCreatePromptVersionRequest: - description: Request to create a new version of an LLM Observability prompt. + description: Request to create a new version of an Agent Observability prompt. properties: data: $ref: "#/components/schemas/LLMObsCreatePromptVersionData" @@ -56761,7 +56761,7 @@ components: type: boolean type: object LLMObsCustomEvalConfigAttributes: - description: Attributes of a custom LLM Observability evaluator configuration. + description: Attributes of a custom Agent Observability evaluator configuration. properties: category: description: Category of the evaluator. @@ -56809,7 +56809,7 @@ components: type: string type: object LLMObsCustomEvalConfigData: - description: Data object for a custom LLM Observability evaluator configuration. + description: Data object for a custom Agent Observability evaluator configuration. properties: attributes: $ref: "#/components/schemas/LLMObsCustomEvalConfigAttributes" @@ -56953,7 +56953,7 @@ components: $ref: "#/components/schemas/LLMObsCustomEvalConfigVertexAIOptions" type: object LLMObsCustomEvalConfigListResponse: - description: Response containing a list of custom LLM Observability evaluator configurations. + description: Response containing a list of custom Agent Observability evaluator configurations. properties: data: description: List of custom evaluator configuration data objects. @@ -57060,7 +57060,7 @@ components: type: string type: object LLMObsCustomEvalConfigResponse: - description: Response containing a custom LLM Observability evaluator configuration. + description: Response containing a custom Agent Observability evaluator configuration. properties: data: $ref: "#/components/schemas/LLMObsCustomEvalConfigData" @@ -57109,7 +57109,7 @@ components: - enabled type: object LLMObsCustomEvalConfigType: - description: Type of the custom LLM Observability evaluator configuration resource. + description: Type of the custom Agent Observability evaluator configuration resource. enum: - evaluator_config example: "evaluator_config" @@ -57117,7 +57117,7 @@ components: x-enum-varnames: - EVALUATOR_CONFIG LLMObsCustomEvalConfigUpdateAttributes: - description: Attributes for creating or updating a custom LLM Observability evaluator configuration. + description: Attributes for creating or updating a custom Agent Observability evaluator configuration. properties: category: description: Category of the evaluator. @@ -57137,7 +57137,7 @@ components: - target type: object LLMObsCustomEvalConfigUpdateData: - description: Data object for creating or updating a custom LLM Observability evaluator configuration. + description: Data object for creating or updating a custom Agent Observability evaluator configuration. properties: attributes: $ref: "#/components/schemas/LLMObsCustomEvalConfigUpdateAttributes" @@ -57152,7 +57152,7 @@ components: - attributes type: object LLMObsCustomEvalConfigUpdateRequest: - description: Request to create or update a custom LLM Observability evaluator configuration. + description: Request to create or update a custom Agent Observability evaluator configuration. properties: data: $ref: "#/components/schemas/LLMObsCustomEvalConfigUpdateData" @@ -57180,7 +57180,7 @@ components: type: string type: object LLMObsDatasetBatchUpdateDataAttributesRequest: - description: Attributes for batch-updating records in an LLM Observability dataset. + description: Attributes for batch-updating records in an Agent Observability dataset. properties: create_new_version: description: Whether to create a new dataset version when applying the batch update. Defaults to `true`. @@ -57196,7 +57196,7 @@ components: $ref: "#/components/schemas/LLMObsDatasetBatchUpdateUpdateRecords" type: object LLMObsDatasetBatchUpdateDataRequest: - description: Data object for batch-updating records in an LLM Observability dataset. + description: Data object for batch-updating records in an Agent Observability dataset. properties: attributes: $ref: "#/components/schemas/LLMObsDatasetBatchUpdateDataAttributesRequest" @@ -57218,7 +57218,7 @@ components: type: string type: array LLMObsDatasetBatchUpdateInsertRecord: - description: A record to insert as part of a batch update on an LLM Observability dataset. + description: A record to insert as part of a batch update on an Agent Observability dataset. properties: expected_output: $ref: "#/components/schemas/AnyValue" @@ -57245,7 +57245,7 @@ components: $ref: "#/components/schemas/LLMObsDatasetBatchUpdateInsertRecord" type: array LLMObsDatasetBatchUpdateRequest: - description: Request to batch-insert, update, and delete records in an LLM Observability dataset. + description: Request to batch-insert, update, and delete records in an Agent Observability dataset. properties: data: $ref: "#/components/schemas/LLMObsDatasetBatchUpdateDataRequest" @@ -57253,7 +57253,7 @@ components: - data type: object LLMObsDatasetBatchUpdateUpdateRecord: - description: A record update payload as part of a batch update on an LLM Observability dataset. + description: A record update payload as part of a batch update on an Agent Observability dataset. properties: expected_output: $ref: "#/components/schemas/AnyValue" @@ -57278,7 +57278,7 @@ components: $ref: "#/components/schemas/LLMObsDatasetBatchUpdateUpdateRecord" type: array LLMObsDatasetCloneDataAttributesRequest: - description: Attributes for cloning an LLM Observability dataset. + description: Attributes for cloning an Agent Observability dataset. properties: description: description: Description of the cloned dataset. @@ -57292,7 +57292,7 @@ components: - name type: object LLMObsDatasetCloneDataRequest: - description: Data object for cloning an LLM Observability dataset. + description: Data object for cloning an Agent Observability dataset. properties: attributes: $ref: "#/components/schemas/LLMObsDatasetCloneDataAttributesRequest" @@ -57308,7 +57308,7 @@ components: - attributes type: object LLMObsDatasetCloneRequest: - description: Request to clone an LLM Observability dataset. + description: Request to clone an Agent Observability dataset. properties: data: $ref: "#/components/schemas/LLMObsDatasetCloneDataRequest" @@ -57316,7 +57316,7 @@ components: - data type: object LLMObsDatasetDataAttributesRequest: - description: Attributes for creating an LLM Observability dataset. + description: Attributes for creating an Agent Observability dataset. properties: description: description: Description of the dataset. @@ -57333,7 +57333,7 @@ components: - name type: object LLMObsDatasetDataAttributesResponse: - description: Attributes of an LLM Observability dataset. + description: Attributes of an Agent Observability dataset. properties: created_at: description: Timestamp when the dataset was created. @@ -57373,7 +57373,7 @@ components: - updated_at type: object LLMObsDatasetDataRequest: - description: Data object for creating an LLM Observability dataset. + description: Data object for creating an Agent Observability dataset. properties: attributes: $ref: "#/components/schemas/LLMObsDatasetDataAttributesRequest" @@ -57384,7 +57384,7 @@ components: - attributes type: object LLMObsDatasetDataResponse: - description: Data object for an LLM Observability dataset. + description: Data object for an Agent Observability dataset. properties: attributes: $ref: "#/components/schemas/LLMObsDatasetDataAttributesResponse" @@ -57400,7 +57400,7 @@ components: - attributes type: object LLMObsDatasetDraftStateData: - description: Data object for an LLM Observability dataset draft state. + description: Data object for an Agent Observability dataset draft state. properties: attributes: $ref: "#/components/schemas/LLMObsDatasetDraftStateDataAttributes" @@ -57416,7 +57416,7 @@ components: - attributes type: object LLMObsDatasetDraftStateDataAttributes: - description: Attributes of an LLM Observability dataset draft state. + description: Attributes of an Agent Observability dataset draft state. properties: drafting_since: description: Timestamp when the dataset draft session started. @@ -57430,7 +57430,7 @@ components: - drafting_since type: object LLMObsDatasetDraftStateResponse: - description: Response containing the draft state of an LLM Observability dataset. + description: Response containing the draft state of an Agent Observability dataset. properties: data: $ref: "#/components/schemas/LLMObsDatasetDraftStateData" @@ -57438,7 +57438,7 @@ components: - data type: object LLMObsDatasetDraftStateType: - description: Resource type of an LLM Observability dataset draft state. + description: Resource type of an Agent Observability dataset draft state. enum: - draft_state_data example: draft_state_data @@ -57473,7 +57473,7 @@ components: type: object LLMObsDatasetExportFormat: default: csv - description: Supported export format for an LLM Observability dataset. + description: Supported export format for an Agent Observability dataset. enum: - csv example: csv @@ -57481,7 +57481,7 @@ components: x-enum-varnames: - CSV LLMObsDatasetRecordDataResponse: - description: A single LLM Observability dataset record. + description: A single Agent Observability dataset record. properties: created_at: description: Timestamp when the record was created. @@ -57520,7 +57520,7 @@ components: - updated_at type: object LLMObsDatasetRecordItem: - description: A single record to append to an LLM Observability dataset. + description: A single record to append to an Agent Observability dataset. properties: expected_output: $ref: "#/components/schemas/AnyValue" @@ -57550,7 +57550,7 @@ components: type: string type: array LLMObsDatasetRecordUpdateItem: - description: A record update payload for an LLM Observability dataset. + description: A record update payload for an Agent Observability dataset. properties: expected_output: $ref: "#/components/schemas/AnyValue" @@ -57568,7 +57568,7 @@ components: - id type: object LLMObsDatasetRecordsDataAttributesRequest: - description: Attributes for appending records to an LLM Observability dataset. + description: Attributes for appending records to an Agent Observability dataset. properties: deduplicate: description: Whether to deduplicate records before appending. Defaults to `true`. @@ -57582,7 +57582,7 @@ components: - records type: object LLMObsDatasetRecordsDataRequest: - description: Data object for appending records to an LLM Observability dataset. + description: Data object for appending records to an Agent Observability dataset. properties: attributes: $ref: "#/components/schemas/LLMObsDatasetRecordsDataAttributesRequest" @@ -57593,7 +57593,7 @@ components: - attributes type: object LLMObsDatasetRecordsListResponse: - description: Response containing a paginated list of LLM Observability dataset records. + description: Response containing a paginated list of Agent Observability dataset records. properties: data: description: List of dataset records. @@ -57628,7 +57628,7 @@ components: - data type: object LLMObsDatasetRecordsRequest: - description: Request to append records to an LLM Observability dataset. + description: Request to append records to an Agent Observability dataset. properties: data: $ref: "#/components/schemas/LLMObsDatasetRecordsDataRequest" @@ -57636,7 +57636,7 @@ components: - data type: object LLMObsDatasetRecordsUpdateDataAttributesRequest: - description: Attributes for updating records in an LLM Observability dataset. + description: Attributes for updating records in an Agent Observability dataset. properties: records: description: List of records to update. @@ -57647,7 +57647,7 @@ components: - records type: object LLMObsDatasetRecordsUpdateDataRequest: - description: Data object for updating records in an LLM Observability dataset. + description: Data object for updating records in an Agent Observability dataset. properties: attributes: $ref: "#/components/schemas/LLMObsDatasetRecordsUpdateDataAttributesRequest" @@ -57658,7 +57658,7 @@ components: - attributes type: object LLMObsDatasetRecordsUpdateRequest: - description: Request to update records in an LLM Observability dataset. + description: Request to update records in an Agent Observability dataset. properties: data: $ref: "#/components/schemas/LLMObsDatasetRecordsUpdateDataRequest" @@ -57674,7 +57674,7 @@ components: type: string type: object LLMObsDatasetRequest: - description: Request to create an LLM Observability dataset. + description: Request to create an Agent Observability dataset. properties: data: $ref: "#/components/schemas/LLMObsDatasetDataRequest" @@ -57682,7 +57682,7 @@ components: - data type: object LLMObsDatasetResponse: - description: Response containing a single LLM Observability dataset. + description: Response containing a single Agent Observability dataset. properties: data: $ref: "#/components/schemas/LLMObsDatasetDataResponse" @@ -57690,7 +57690,7 @@ components: - data type: object LLMObsDatasetRestoreVersionDataAttributesRequest: - description: Attributes for restoring an LLM Observability dataset to a previous version. + description: Attributes for restoring an Agent Observability dataset to a previous version. properties: dataset_version: description: Version number of the dataset to restore. Must be between 0 and the current version of the dataset, inclusive. @@ -57702,7 +57702,7 @@ components: - dataset_version type: object LLMObsDatasetRestoreVersionDataRequest: - description: Data object for restoring an LLM Observability dataset to a previous version. + description: Data object for restoring an Agent Observability dataset to a previous version. properties: attributes: $ref: "#/components/schemas/LLMObsDatasetRestoreVersionDataAttributesRequest" @@ -57718,7 +57718,7 @@ components: - attributes type: object LLMObsDatasetRestoreVersionRequest: - description: Request to restore an LLM Observability dataset to a previous version. + description: Request to restore an Agent Observability dataset to a previous version. properties: data: $ref: "#/components/schemas/LLMObsDatasetRestoreVersionDataRequest" @@ -57726,7 +57726,7 @@ components: - data type: object LLMObsDatasetType: - description: Resource type of an LLM Observability dataset. + description: Resource type of an Agent Observability dataset. enum: - datasets example: datasets @@ -57734,7 +57734,7 @@ components: x-enum-varnames: - DATASETS LLMObsDatasetUpdateDataAttributesRequest: - description: Attributes for updating an LLM Observability dataset. + description: Attributes for updating an Agent Observability dataset. properties: description: description: Updated description of the dataset. @@ -57748,7 +57748,7 @@ components: type: string type: object LLMObsDatasetUpdateDataRequest: - description: Data object for updating an LLM Observability dataset. + description: Data object for updating an Agent Observability dataset. properties: attributes: $ref: "#/components/schemas/LLMObsDatasetUpdateDataAttributesRequest" @@ -57759,7 +57759,7 @@ components: - attributes type: object LLMObsDatasetUpdateRequest: - description: Request to partially update an LLM Observability dataset. + description: Request to partially update an Agent Observability dataset. properties: data: $ref: "#/components/schemas/LLMObsDatasetUpdateDataRequest" @@ -57767,7 +57767,7 @@ components: - data type: object LLMObsDatasetVersionData: - description: Data object for an LLM Observability dataset version. + description: Data object for an Agent Observability dataset version. properties: attributes: $ref: "#/components/schemas/LLMObsDatasetVersionDataAttributes" @@ -57783,7 +57783,7 @@ components: - attributes type: object LLMObsDatasetVersionDataAttributes: - description: Attributes of an LLM Observability dataset version. + description: Attributes of an Agent Observability dataset version. properties: dataset_id: description: Unique identifier of the dataset this version belongs to. @@ -57807,7 +57807,7 @@ components: - last_used type: object LLMObsDatasetVersionType: - description: Resource type of an LLM Observability dataset version. + description: Resource type of an Agent Observability dataset version. enum: - dataset_version example: dataset_version @@ -57815,7 +57815,7 @@ components: x-enum-varnames: - DATASET_VERSION LLMObsDatasetVersionsResponse: - description: Response containing the active versions of an LLM Observability dataset. + description: Response containing the active versions of an Agent Observability dataset. properties: data: $ref: "#/components/schemas/LLMObsDatasetVersionsResponseData" @@ -57828,7 +57828,7 @@ components: $ref: "#/components/schemas/LLMObsDatasetVersionData" type: array LLMObsDatasetsResponse: - description: Response containing a list of LLM Observability datasets. + description: Response containing a list of Agent Observability datasets. properties: data: description: List of datasets. @@ -57883,7 +57883,7 @@ components: - attributes type: object LLMObsDeleteAnnotationQueueInteractionsRequest: - description: Request to delete interactions from an LLM Observability annotation queue. + description: Request to delete interactions from an Agent Observability annotation queue. properties: data: $ref: "#/components/schemas/LLMObsDeleteAnnotationQueueInteractionsDataRequest" @@ -57970,7 +57970,7 @@ components: - data type: object LLMObsDeleteDatasetRecordsDataAttributesRequest: - description: Attributes for deleting records from an LLM Observability dataset. + description: Attributes for deleting records from an Agent Observability dataset. properties: record_ids: description: List of record IDs to delete. @@ -57984,7 +57984,7 @@ components: - record_ids type: object LLMObsDeleteDatasetRecordsDataRequest: - description: Data object for deleting records from an LLM Observability dataset. + description: Data object for deleting records from an Agent Observability dataset. properties: attributes: $ref: "#/components/schemas/LLMObsDeleteDatasetRecordsDataAttributesRequest" @@ -57995,7 +57995,7 @@ components: - attributes type: object LLMObsDeleteDatasetRecordsRequest: - description: Request to delete records from an LLM Observability dataset. + description: Request to delete records from an Agent Observability dataset. properties: data: $ref: "#/components/schemas/LLMObsDeleteDatasetRecordsDataRequest" @@ -58003,7 +58003,7 @@ components: - data type: object LLMObsDeleteDatasetsDataAttributesRequest: - description: Attributes for deleting LLM Observability datasets. + description: Attributes for deleting Agent Observability datasets. properties: dataset_ids: description: List of dataset IDs to delete. @@ -58017,7 +58017,7 @@ components: - dataset_ids type: object LLMObsDeleteDatasetsDataRequest: - description: Data object for deleting LLM Observability datasets. + description: Data object for deleting Agent Observability datasets. properties: attributes: $ref: "#/components/schemas/LLMObsDeleteDatasetsDataAttributesRequest" @@ -58028,7 +58028,7 @@ components: - attributes type: object LLMObsDeleteDatasetsRequest: - description: Request to delete one or more LLM Observability datasets. + description: Request to delete one or more Agent Observability datasets. properties: data: $ref: "#/components/schemas/LLMObsDeleteDatasetsDataRequest" @@ -58036,7 +58036,7 @@ components: - data type: object LLMObsDeleteExperimentsDataAttributesRequest: - description: Attributes for deleting LLM Observability experiments. + description: Attributes for deleting Agent Observability experiments. properties: experiment_ids: description: List of experiment IDs to delete. @@ -58050,7 +58050,7 @@ components: - experiment_ids type: object LLMObsDeleteExperimentsDataRequest: - description: Data object for deleting LLM Observability experiments. + description: Data object for deleting Agent Observability experiments. properties: attributes: $ref: "#/components/schemas/LLMObsDeleteExperimentsDataAttributesRequest" @@ -58061,7 +58061,7 @@ components: - attributes type: object LLMObsDeleteExperimentsRequest: - description: Request to delete one or more LLM Observability experiments. + description: Request to delete one or more Agent Observability experiments. properties: data: $ref: "#/components/schemas/LLMObsDeleteExperimentsDataRequest" @@ -58069,7 +58069,7 @@ components: - data type: object LLMObsDeleteProjectsDataAttributesRequest: - description: Attributes for deleting LLM Observability projects. + description: Attributes for deleting Agent Observability projects. properties: project_ids: description: List of project IDs to delete. @@ -58083,7 +58083,7 @@ components: - project_ids type: object LLMObsDeleteProjectsDataRequest: - description: Data object for deleting LLM Observability projects. + description: Data object for deleting Agent Observability projects. properties: attributes: $ref: "#/components/schemas/LLMObsDeleteProjectsDataAttributesRequest" @@ -58094,7 +58094,7 @@ components: - attributes type: object LLMObsDeleteProjectsRequest: - description: Request to delete one or more LLM Observability projects. + description: Request to delete one or more Agent Observability projects. properties: data: $ref: "#/components/schemas/LLMObsDeleteProjectsDataRequest" @@ -58102,7 +58102,7 @@ components: - data type: object LLMObsDeletedPromptData: - description: Data object confirming that an LLM Observability prompt was deleted. + description: Data object confirming that an Agent Observability prompt was deleted. properties: attributes: $ref: "#/components/schemas/LLMObsDeletedPromptDataAttributes" @@ -58118,7 +58118,7 @@ components: - attributes type: object LLMObsDeletedPromptDataAttributes: - description: Attributes confirming that an LLM Observability prompt was deleted. + description: Attributes confirming that an Agent Observability prompt was deleted. properties: deleted_at: description: Timestamp when the prompt was deleted. @@ -58134,7 +58134,7 @@ components: - deleted_at type: object LLMObsDeletedPromptResponse: - description: Response confirming that an LLM Observability prompt was deleted. + description: Response confirming that an Agent Observability prompt was deleted. example: data: attributes: @@ -58224,7 +58224,7 @@ components: x-enum-varnames: - DISPLAY_BLOCK LLMObsEventType: - description: Resource type for LLM Observability experiment events. + description: Resource type for Agent Observability experiment events. enum: - events example: events @@ -58232,7 +58232,7 @@ components: x-enum-varnames: - EVENTS LLMObsExperimentDataAttributesRequest: - description: Attributes for creating an LLM Observability experiment. + description: Attributes for creating an Agent Observability experiment. properties: config: additionalProperties: {} @@ -58278,7 +58278,7 @@ components: - name type: object LLMObsExperimentDataAttributesResponse: - description: Attributes of an LLM Observability experiment. + description: Attributes of an Agent Observability experiment. properties: aggregate_data: additionalProperties: {} @@ -58371,7 +58371,7 @@ components: - updated_at type: object LLMObsExperimentDataRequest: - description: Data object for creating an LLM Observability experiment. + description: Data object for creating an Agent Observability experiment. properties: attributes: $ref: "#/components/schemas/LLMObsExperimentDataAttributesRequest" @@ -58382,7 +58382,7 @@ components: - attributes type: object LLMObsExperimentDataResponse: - description: Data object for an LLM Observability experiment. + description: Data object for an Agent Observability experiment. properties: attributes: $ref: "#/components/schemas/LLMObsExperimentDataAttributesResponse" @@ -58492,7 +58492,7 @@ components: - attributes type: object LLMObsExperimentEventsRequest: - description: Request to push spans and metrics for an LLM Observability experiment. + description: Request to push spans and metrics for an Agent Observability experiment. properties: data: $ref: "#/components/schemas/LLMObsExperimentEventsDataRequest" @@ -58551,7 +58551,7 @@ components: - data type: object LLMObsExperimentMetric: - description: A metric associated with an LLM Observability experiment span. + description: A metric associated with an Agent Observability experiment span. properties: assessment: $ref: "#/components/schemas/LLMObsMetricAssessment" @@ -58613,7 +58613,7 @@ components: type: string type: object LLMObsExperimentRequest: - description: Request to create an LLM Observability experiment. + description: Request to create an Agent Observability experiment. properties: data: $ref: "#/components/schemas/LLMObsExperimentDataRequest" @@ -58621,7 +58621,7 @@ components: - data type: object LLMObsExperimentResponse: - description: Response containing a single LLM Observability experiment. + description: Response containing a single Agent Observability experiment. properties: data: $ref: "#/components/schemas/LLMObsExperimentDataResponse" @@ -58629,7 +58629,7 @@ components: - data type: object LLMObsExperimentRunDataResponse: - description: Data object for an LLM Observability experiment run. + description: Data object for an Agent Observability experiment run. properties: aggregate_data: additionalProperties: {} @@ -58657,7 +58657,7 @@ components: type: integer type: object LLMObsExperimentSpan: - description: A span associated with an LLM Observability experiment. + description: A span associated with an Agent Observability experiment. properties: dataset_id: description: Dataset ID associated with this span. @@ -58843,7 +58843,7 @@ components: - data type: object LLMObsExperimentStatus: - description: Execution status of an LLM Observability experiment. + description: Execution status of an Agent Observability experiment. enum: - running - completed @@ -58857,7 +58857,7 @@ components: - FAILED - INTERRUPTED LLMObsExperimentType: - description: Resource type of an LLM Observability experiment. + description: Resource type of an Agent Observability experiment. enum: - experiments example: experiments @@ -58865,7 +58865,7 @@ components: x-enum-varnames: - EXPERIMENTS LLMObsExperimentUpdateDataAttributesRequest: - description: Attributes for updating an LLM Observability experiment. + description: Attributes for updating an Agent Observability experiment. properties: dataset_id: description: Updated identifier of the dataset used in this experiment. @@ -58888,7 +58888,7 @@ components: $ref: "#/components/schemas/LLMObsExperimentStatus" type: object LLMObsExperimentUpdateDataRequest: - description: Data object for updating an LLM Observability experiment. + description: Data object for updating an Agent Observability experiment. properties: attributes: $ref: "#/components/schemas/LLMObsExperimentUpdateDataAttributesRequest" @@ -58899,7 +58899,7 @@ components: - attributes type: object LLMObsExperimentUpdateRequest: - description: Request to partially update an LLM Observability experiment. + description: Request to partially update an Agent Observability experiment. properties: data: $ref: "#/components/schemas/LLMObsExperimentUpdateDataRequest" @@ -59047,7 +59047,7 @@ components: - field type: object LLMObsExperimentationAnalyticsRequest: - description: Request to run an analytics aggregation over LLM Observability experimentation data. + description: Request to run an analytics aggregation over Agent Observability experimentation data. properties: data: $ref: "#/components/schemas/LLMObsExperimentationAnalyticsDataRequest" @@ -59238,7 +59238,7 @@ components: - attributes type: object LLMObsExperimentationSearchRequest: - description: Request to search across LLM Observability experimentation entities using cursor-based pagination. + description: Request to search across Agent Observability experimentation entities using cursor-based pagination. properties: data: $ref: "#/components/schemas/LLMObsExperimentationSearchDataRequest" @@ -59370,7 +59370,7 @@ components: type: integer type: object LLMObsExperimentationSimpleSearchRequest: - description: Request to search across LLM Observability experimentation entities using offset-based pagination. + description: Request to search across Agent Observability experimentation entities using offset-based pagination. properties: data: $ref: "#/components/schemas/LLMObsExperimentationSimpleSearchDataRequest" @@ -59418,7 +59418,7 @@ components: x-enum-varnames: - EXPERIMENTATION LLMObsExperimentsResponse: - description: Response containing a list of LLM Observability experiments. + description: Response containing a list of Agent Observability experiments. properties: data: description: List of experiments. @@ -60036,7 +60036,7 @@ components: - BOOLEAN - TEXT LLMObsMetricAssessment: - description: Assessment result for an LLM Observability experiment metric. + description: Assessment result for an Agent Observability experiment metric. enum: - pass - fail @@ -60046,7 +60046,7 @@ components: - PASS - FAIL LLMObsMetricScoreType: - description: Type of metric recorded for an LLM Observability experiment. + description: Type of metric recorded for an Agent Observability experiment. enum: - score - categorical @@ -60221,7 +60221,7 @@ components: $ref: "#/components/schemas/LLMObsPatternsClusteredPoint" type: array LLMObsPatternsClusteredPointsResponse: - description: Response containing the clustered points of an LLM Observability topic. + description: Response containing the clustered points of an Agent Observability topic. properties: data: $ref: "#/components/schemas/LLMObsPatternsClusteredPointsResponseData" @@ -60229,7 +60229,7 @@ components: - data type: object LLMObsPatternsClusteredPointsResponseAttributes: - description: Attributes of an LLM Observability patterns clustered points response. + description: Attributes of an Agent Observability patterns clustered points response. properties: next_page_token: description: Pagination token for the next page of points. Null if there are no more pages. @@ -60248,7 +60248,7 @@ components: - points type: object LLMObsPatternsClusteredPointsResponseData: - description: Data object of an LLM Observability patterns clustered points response. + description: Data object of an Agent Observability patterns clustered points response. properties: attributes: $ref: "#/components/schemas/LLMObsPatternsClusteredPointsResponseAttributes" @@ -60264,7 +60264,7 @@ components: - attributes type: object LLMObsPatternsClusteredPointsType: - description: Resource type of an LLM Observability patterns clustered points response. + description: Resource type of an Agent Observability patterns clustered points response. enum: - clustered_points_response example: clustered_points_response @@ -60272,7 +60272,7 @@ components: x-enum-varnames: - CLUSTERED_POINTS_RESPONSE LLMObsPatternsConfigAttributes: - description: Attributes of an LLM Observability patterns configuration. + description: Attributes of an Agent Observability patterns configuration. properties: account_id: description: Integration account ID for a bring-your-own-model configuration. @@ -60344,7 +60344,7 @@ components: - updated_at type: object LLMObsPatternsConfigItem: - description: A single LLM Observability patterns configuration in a list response. + description: A single Agent Observability patterns configuration in a list response. properties: account_id: description: Integration account ID for a bring-your-own-model configuration. @@ -60426,7 +60426,7 @@ components: $ref: "#/components/schemas/LLMObsPatternsConfigItem" type: array LLMObsPatternsConfigResponse: - description: Response containing a single LLM Observability patterns configuration. + description: Response containing a single Agent Observability patterns configuration. properties: data: $ref: "#/components/schemas/LLMObsPatternsConfigResponseData" @@ -60434,7 +60434,7 @@ components: - data type: object LLMObsPatternsConfigResponseData: - description: Data object of an LLM Observability patterns configuration. + description: Data object of an Agent Observability patterns configuration. properties: attributes: $ref: "#/components/schemas/LLMObsPatternsConfigAttributes" @@ -60487,7 +60487,7 @@ components: type: number type: object LLMObsPatternsConfigType: - description: Resource type of an LLM Observability patterns configuration. + description: Resource type of an Agent Observability patterns configuration. enum: - topic_discovery_configs example: topic_discovery_configs @@ -60495,7 +60495,7 @@ components: x-enum-varnames: - TOPIC_DISCOVERY_CONFIGS LLMObsPatternsConfigUpsertRequest: - description: Request to create or update an LLM Observability patterns configuration. + description: Request to create or update an Agent Observability patterns configuration. properties: data: $ref: "#/components/schemas/LLMObsPatternsConfigUpsertRequestData" @@ -60503,7 +60503,7 @@ components: - data type: object LLMObsPatternsConfigUpsertRequestAttributes: - description: Attributes for creating or updating an LLM Observability patterns configuration. + description: Attributes for creating or updating an Agent Observability patterns configuration. properties: account_id: description: Integration account ID for a bring-your-own-model configuration. @@ -60562,7 +60562,7 @@ components: - hierarchy_depth type: object LLMObsPatternsConfigUpsertRequestData: - description: Data object for creating or updating an LLM Observability patterns configuration. + description: Data object for creating or updating an Agent Observability patterns configuration. properties: attributes: $ref: "#/components/schemas/LLMObsPatternsConfigUpsertRequestAttributes" @@ -60573,7 +60573,7 @@ components: - attributes type: object LLMObsPatternsConfigsListType: - description: Resource type of a list of LLM Observability patterns configurations. + description: Resource type of a list of Agent Observability patterns configurations. enum: - list_topic_discovery_configs_response example: list_topic_discovery_configs_response @@ -60581,7 +60581,7 @@ components: x-enum-varnames: - LIST_TOPIC_DISCOVERY_CONFIGS_RESPONSE LLMObsPatternsConfigsResponse: - description: Response containing a list of LLM Observability patterns configurations. + description: Response containing a list of Agent Observability patterns configurations. properties: data: $ref: "#/components/schemas/LLMObsPatternsConfigsResponseData" @@ -60589,7 +60589,7 @@ components: - data type: object LLMObsPatternsConfigsResponseAttributes: - description: Attributes of a list of LLM Observability patterns configurations. + description: Attributes of a list of Agent Observability patterns configurations. properties: configs: $ref: "#/components/schemas/LLMObsPatternsConfigItemsList" @@ -60597,7 +60597,7 @@ components: - configs type: object LLMObsPatternsConfigsResponseData: - description: Data object of a list of LLM Observability patterns configurations. + description: Data object of a list of Agent Observability patterns configurations. properties: attributes: $ref: "#/components/schemas/LLMObsPatternsConfigsResponseAttributes" @@ -60618,7 +60618,7 @@ components: $ref: "#/components/schemas/LLMObsPatternsActivityProgress" type: array LLMObsPatternsRequestType: - description: Resource type for triggering an LLM Observability patterns run. + description: Resource type for triggering an Agent Observability patterns run. enum: - topic_discovery example: topic_discovery @@ -60626,7 +60626,7 @@ components: x-enum-varnames: - TOPIC_DISCOVERY LLMObsPatternsRunStatusResponse: - description: Response containing the status of an LLM Observability patterns run. + description: Response containing the status of an Agent Observability patterns run. properties: data: $ref: "#/components/schemas/LLMObsPatternsRunStatusResponseData" @@ -60634,7 +60634,7 @@ components: - data type: object LLMObsPatternsRunStatusResponseAttributes: - description: Attributes of an LLM Observability patterns run status. + description: Attributes of an Agent Observability patterns run status. properties: created_at: description: Timestamp when the run was created. @@ -60658,7 +60658,7 @@ components: - progress type: object LLMObsPatternsRunStatusResponseData: - description: Data object of an LLM Observability patterns run status response. + description: Data object of an Agent Observability patterns run status response. properties: attributes: $ref: "#/components/schemas/LLMObsPatternsRunStatusResponseAttributes" @@ -60674,7 +60674,7 @@ components: - attributes type: object LLMObsPatternsRunStatusType: - description: Resource type of an LLM Observability patterns run status. + description: Resource type of an Agent Observability patterns run status. enum: - topic_discovery_run_status example: topic_discovery_run_status @@ -60682,7 +60682,7 @@ components: x-enum-varnames: - TOPIC_DISCOVERY_RUN_STATUS LLMObsPatternsRunSummary: - description: Summary of an LLM Observability patterns run. + description: Summary of an Agent Observability patterns run. properties: completed_at: description: Timestamp when the run completed. Null if the run has not completed. @@ -60716,7 +60716,7 @@ components: $ref: "#/components/schemas/LLMObsPatternsRunSummary" type: array LLMObsPatternsRunsListType: - description: Resource type of a list of LLM Observability patterns runs. + description: Resource type of a list of Agent Observability patterns runs. enum: - list_topic_discovery_runs_response example: list_topic_discovery_runs_response @@ -60724,7 +60724,7 @@ components: x-enum-varnames: - LIST_TOPIC_DISCOVERY_RUNS_RESPONSE LLMObsPatternsRunsResponse: - description: Response containing the completed runs of an LLM Observability patterns configuration. + description: Response containing the completed runs of an Agent Observability patterns configuration. properties: data: $ref: "#/components/schemas/LLMObsPatternsRunsResponseData" @@ -60732,7 +60732,7 @@ components: - data type: object LLMObsPatternsRunsResponseAttributes: - description: Attributes of an LLM Observability patterns runs response. + description: Attributes of an Agent Observability patterns runs response. properties: runs: $ref: "#/components/schemas/LLMObsPatternsRunsList" @@ -60740,7 +60740,7 @@ components: - runs type: object LLMObsPatternsRunsResponseData: - description: Data object of an LLM Observability patterns runs response. + description: Data object of an Agent Observability patterns runs response. properties: attributes: $ref: "#/components/schemas/LLMObsPatternsRunsResponseAttributes" @@ -60756,7 +60756,7 @@ components: - attributes type: object LLMObsPatternsTopic: - description: A topic discovered by an LLM Observability patterns run. + description: A topic discovered by an Agent Observability patterns run. properties: created_at: description: Timestamp when the topic was created. @@ -60816,7 +60816,7 @@ components: type: object LLMObsPatternsTopicWithClusteredPoints: description: |- - A topic discovered by an LLM Observability patterns run, including the + A topic discovered by an Agent Observability patterns run, including the clustered points attached to leaf topics. properties: cluster_points: @@ -60883,7 +60883,7 @@ components: $ref: "#/components/schemas/LLMObsPatternsTopic" type: array LLMObsPatternsTopicsResponse: - description: Response containing the topics discovered by an LLM Observability patterns run. + description: Response containing the topics discovered by an Agent Observability patterns run. properties: data: $ref: "#/components/schemas/LLMObsPatternsTopicsResponseData" @@ -60891,7 +60891,7 @@ components: - data type: object LLMObsPatternsTopicsResponseAttributes: - description: Attributes of an LLM Observability patterns topics response. + description: Attributes of an Agent Observability patterns topics response. properties: completed_at: description: Timestamp when the run completed. Null if the run has not completed. @@ -60928,7 +60928,7 @@ components: - topics type: object LLMObsPatternsTopicsResponseData: - description: Data object of an LLM Observability patterns topics response. + description: Data object of an Agent Observability patterns topics response. properties: attributes: $ref: "#/components/schemas/LLMObsPatternsTopicsResponseAttributes" @@ -60944,7 +60944,7 @@ components: - attributes type: object LLMObsPatternsTopicsType: - description: Resource type of an LLM Observability patterns topics response. + description: Resource type of an Agent Observability patterns topics response. enum: - get_topics_response example: get_topics_response @@ -60959,7 +60959,7 @@ components: LLMObsPatternsTopicsWithClusteredPointsResponse: description: |- Response containing the topics, and the clustered points of their leaf topics, - discovered by an LLM Observability patterns run. + discovered by an Agent Observability patterns run. properties: data: $ref: "#/components/schemas/LLMObsPatternsTopicsWithClusteredPointsResponseData" @@ -60967,7 +60967,7 @@ components: - data type: object LLMObsPatternsTopicsWithClusteredPointsResponseAttributes: - description: Attributes of an LLM Observability patterns topics-with-clustered-points response. + description: Attributes of an Agent Observability patterns topics-with-clustered-points response. properties: completed_at: description: Timestamp when the run completed. Null if the run has not completed. @@ -61004,7 +61004,7 @@ components: - topics type: object LLMObsPatternsTopicsWithClusteredPointsResponseData: - description: Data object of an LLM Observability patterns topics-with-clustered-points response. + description: Data object of an Agent Observability patterns topics-with-clustered-points response. properties: attributes: $ref: "#/components/schemas/LLMObsPatternsTopicsWithClusteredPointsResponseAttributes" @@ -61020,7 +61020,7 @@ components: - attributes type: object LLMObsPatternsTopicsWithClusteredPointsType: - description: Resource type of an LLM Observability patterns topics-with-clustered-points response. + description: Resource type of an Agent Observability patterns topics-with-clustered-points response. enum: - get_topics_with_cluster_points_response example: get_topics_with_cluster_points_response @@ -61028,7 +61028,7 @@ components: x-enum-varnames: - GET_TOPICS_WITH_CLUSTER_POINTS_RESPONSE LLMObsPatternsTriggerRequest: - description: Request to trigger an LLM Observability patterns run. + description: Request to trigger an Agent Observability patterns run. properties: data: $ref: "#/components/schemas/LLMObsPatternsTriggerRequestData" @@ -61036,7 +61036,7 @@ components: - data type: object LLMObsPatternsTriggerRequestAttributes: - description: Attributes for triggering an LLM Observability patterns run. + description: Attributes for triggering an Agent Observability patterns run. properties: config_id: description: The ID of the patterns configuration to run. @@ -61046,7 +61046,7 @@ components: - config_id type: object LLMObsPatternsTriggerRequestData: - description: Data object for triggering an LLM Observability patterns run. + description: Data object for triggering an Agent Observability patterns run. properties: attributes: $ref: "#/components/schemas/LLMObsPatternsTriggerRequestAttributes" @@ -61057,7 +61057,7 @@ components: - attributes type: object LLMObsPatternsTriggerResponse: - description: Response after triggering an LLM Observability patterns run. + description: Response after triggering an Agent Observability patterns run. properties: data: $ref: "#/components/schemas/LLMObsPatternsTriggerResponseData" @@ -61065,7 +61065,7 @@ components: - data type: object LLMObsPatternsTriggerResponseAttributes: - description: Attributes of an LLM Observability patterns trigger response. + description: Attributes of an Agent Observability patterns trigger response. properties: config_id: description: The ID of the patterns configuration that was run. @@ -61085,7 +61085,7 @@ components: - status type: object LLMObsPatternsTriggerResponseData: - description: Data object of an LLM Observability patterns trigger response. + description: Data object of an Agent Observability patterns trigger response. properties: attributes: $ref: "#/components/schemas/LLMObsPatternsTriggerResponseAttributes" @@ -61101,7 +61101,7 @@ components: - attributes type: object LLMObsPatternsTriggerResponseType: - description: Resource type of an LLM Observability patterns trigger response. + description: Resource type of an Agent Observability patterns trigger response. enum: - topic_discovery_run example: topic_discovery_run @@ -61109,7 +61109,7 @@ components: x-enum-varnames: - TOPIC_DISCOVERY_RUN LLMObsProjectDataAttributesRequest: - description: Attributes for creating an LLM Observability project. + description: Attributes for creating an Agent Observability project. properties: description: description: Description of the project. @@ -61122,7 +61122,7 @@ components: - name type: object LLMObsProjectDataAttributesResponse: - description: Attributes of an LLM Observability project. + description: Attributes of an Agent Observability project. properties: created_at: description: Timestamp when the project was created. @@ -61150,7 +61150,7 @@ components: - updated_at type: object LLMObsProjectDataRequest: - description: Data object for creating an LLM Observability project. + description: Data object for creating an Agent Observability project. properties: attributes: $ref: "#/components/schemas/LLMObsProjectDataAttributesRequest" @@ -61161,7 +61161,7 @@ components: - attributes type: object LLMObsProjectDataResponse: - description: Data object for an LLM Observability project. + description: Data object for an Agent Observability project. properties: attributes: $ref: "#/components/schemas/LLMObsProjectDataAttributesResponse" @@ -61177,7 +61177,7 @@ components: - attributes type: object LLMObsProjectRequest: - description: Request to create an LLM Observability project. + description: Request to create an Agent Observability project. properties: data: $ref: "#/components/schemas/LLMObsProjectDataRequest" @@ -61185,7 +61185,7 @@ components: - data type: object LLMObsProjectResponse: - description: Response containing a single LLM Observability project. + description: Response containing a single Agent Observability project. properties: data: $ref: "#/components/schemas/LLMObsProjectDataResponse" @@ -61193,7 +61193,7 @@ components: - data type: object LLMObsProjectType: - description: Resource type of an LLM Observability project. + description: Resource type of an Agent Observability project. enum: - projects example: projects @@ -61201,7 +61201,7 @@ components: x-enum-varnames: - PROJECTS LLMObsProjectUpdateDataAttributesRequest: - description: Attributes for updating an LLM Observability project. + description: Attributes for updating an Agent Observability project. properties: description: description: Updated description of the project. @@ -61211,7 +61211,7 @@ components: type: string type: object LLMObsProjectUpdateDataRequest: - description: Data object for updating an LLM Observability project. + description: Data object for updating an Agent Observability project. properties: attributes: $ref: "#/components/schemas/LLMObsProjectUpdateDataAttributesRequest" @@ -61222,7 +61222,7 @@ components: - attributes type: object LLMObsProjectUpdateRequest: - description: Request to partially update an LLM Observability project. + description: Request to partially update an Agent Observability project. properties: data: $ref: "#/components/schemas/LLMObsProjectUpdateDataRequest" @@ -61230,7 +61230,7 @@ components: - data type: object LLMObsProjectsResponse: - description: Response containing a list of LLM Observability projects. + description: Response containing a list of Agent Observability projects. properties: data: description: List of projects. @@ -61265,7 +61265,7 @@ components: type: array x-generate-alias-as-model: true LLMObsPromptData: - description: Data object for an LLM Observability prompt. + description: Data object for an Agent Observability prompt. properties: attributes: $ref: "#/components/schemas/LLMObsPromptDataAttributes" @@ -61281,7 +61281,7 @@ components: - attributes type: object LLMObsPromptDataAttributes: - description: Attributes of an LLM Observability prompt registry entry. + description: Attributes of an Agent Observability prompt registry entry. properties: author: description: UUID of the user who authored the prompt. @@ -61366,7 +61366,7 @@ components: - id type: object LLMObsPromptResponse: - description: Response containing a single LLM Observability prompt. + description: Response containing a single Agent Observability prompt. example: data: attributes: @@ -61399,7 +61399,7 @@ components: - REGISTRY - CODE LLMObsPromptSDKData: - description: Data object for a flattened LLM Observability prompt version returned for SDK consumption. + description: Data object for a flattened Agent Observability prompt version returned for SDK consumption. properties: attributes: $ref: "#/components/schemas/LLMObsPromptSDKDataAttributes" @@ -61448,7 +61448,7 @@ components: type: string type: object LLMObsPromptSDKResponse: - description: Response containing a flattened LLM Observability prompt version for SDK consumption. + description: Response containing a flattened Agent Observability prompt version for SDK consumption. example: data: attributes: @@ -61480,7 +61480,7 @@ components: pattern: ".*\\S.*" type: string LLMObsPromptType: - description: Resource type of an LLM Observability prompt. + description: Resource type of an Agent Observability prompt. enum: - prompt-templates example: prompt-templates @@ -61488,7 +61488,7 @@ components: x-enum-varnames: - PROMPT_TEMPLATES LLMObsPromptVersionData: - description: Data object for a specific version of an LLM Observability prompt. + description: Data object for a specific version of an Agent Observability prompt. properties: attributes: $ref: "#/components/schemas/LLMObsPromptVersionDataAttributes" @@ -61504,7 +61504,7 @@ components: - attributes type: object LLMObsPromptVersionDataAttributes: - description: Attributes of a specific version of an LLM Observability prompt. + description: Attributes of a specific version of an Agent Observability prompt. properties: author: description: UUID of the user who authored this version. @@ -61574,7 +61574,7 @@ components: - version type: object LLMObsPromptVersionLabel: - description: A label attached to an LLM Observability prompt version. + description: A label attached to an Agent Observability prompt version. enum: - production - development @@ -61666,7 +61666,7 @@ components: - version type: object LLMObsPromptVersionResponse: - description: Response containing a specific version of an LLM Observability prompt. + description: Response containing a specific version of an Agent Observability prompt. example: data: attributes: @@ -61691,7 +61691,7 @@ components: - data type: object LLMObsPromptVersionType: - description: Resource type of an LLM Observability prompt version. + description: Resource type of an Agent Observability prompt version. enum: - prompt-template-versions example: prompt-template-versions @@ -61699,7 +61699,7 @@ components: x-enum-varnames: - PROMPT_TEMPLATE_VERSIONS LLMObsPromptVersionsResponse: - description: Response containing the versions of an LLM Observability prompt. + description: Response containing the versions of an Agent Observability prompt. example: data: - attributes: @@ -61732,7 +61732,7 @@ components: - data type: object LLMObsPromptsResponse: - description: Response containing a list of LLM Observability prompts. + description: Response containing a list of Agent Observability prompts. example: data: - attributes: @@ -61750,7 +61750,7 @@ components: type: prompt-templates properties: data: - description: List of LLM Observability prompts. + description: List of Agent Observability prompts. items: $ref: "#/components/schemas/LLMObsPromptData" type: array @@ -61758,7 +61758,7 @@ components: - data type: object LLMObsRecordType: - description: Resource type of LLM Observability dataset records. + description: Resource type of Agent Observability dataset records. enum: - records example: records @@ -61766,7 +61766,7 @@ components: x-enum-varnames: - RECORDS LLMObsSearchSpansRequest: - description: Request body for searching LLM Observability spans. + description: Request body for searching Agent Observability spans. properties: data: $ref: "#/components/schemas/LLMObsSearchSpansRequestData" @@ -61774,7 +61774,7 @@ components: - data type: object LLMObsSearchSpansRequestAttributes: - description: Attributes of an LLM Observability spans search request. + description: Attributes of an Agent Observability spans search request. properties: filter: $ref: "#/components/schemas/LLMObsSpanFilter" @@ -61788,7 +61788,7 @@ components: type: string type: object LLMObsSearchSpansRequestData: - description: Data object for an LLM Observability spans search request. + description: Data object for an Agent Observability spans search request. properties: attributes: $ref: "#/components/schemas/LLMObsSearchSpansRequestAttributes" @@ -61799,7 +61799,7 @@ components: - attributes type: object LLMObsSearchSpansRequestType: - description: Resource type for an LLM Observability spans search request. + description: Resource type for an Agent Observability spans search request. enum: - spans example: spans @@ -61807,7 +61807,7 @@ components: x-enum-varnames: - SPANS LLMObsSpanAttributes: - description: Attributes of an LLM Observability span. + description: Attributes of an Agent Observability span. properties: duration: description: Duration of the span in nanoseconds. @@ -61897,7 +61897,7 @@ components: - span_kind type: object LLMObsSpanData: - description: A single LLM Observability span. + description: A single Agent Observability span. properties: attributes: $ref: "#/components/schemas/LLMObsSpanAttributes" @@ -61913,7 +61913,7 @@ components: - attributes type: object LLMObsSpanEvaluationMetric: - description: An evaluation metric associated with an LLM Observability span. + description: An evaluation metric associated with an Agent Observability span. properties: assessment: description: Assessment result (e.g., pass or fail). @@ -61938,7 +61938,7 @@ components: description: Value of the evaluation result. type: object LLMObsSpanFilter: - description: Filter criteria for an LLM Observability span search. + description: Filter criteria for an Agent Observability span search. properties: from: description: Start of the time range. Accepts ISO 8601 or relative format (e.g., `now-15m`). Defaults to `now-15m`. @@ -61950,7 +61950,7 @@ components: type: string query: description: >- - Search query using LLM Observability query syntax. Supports attribute filters using the field:value syntax (e.g. session_id, trace_id, ml_app, meta.span.kind). When provided, structured field filters (`span_id`, `trace_id`, etc.) are ignored. + Search query using Agent Observability query syntax. Supports attribute filters using the field:value syntax (e.g. session_id, trace_id, ml_app, meta.span.kind). When provided, structured field filters (`span_id`, `trace_id`, etc.) are ignored. example: "@session_id:abc123def456" type: string span_id: @@ -61980,7 +61980,7 @@ components: type: string type: object LLMObsSpanIO: - description: Input or output content of an LLM Observability span. + description: Input or output content of an Agent Observability span. properties: messages: description: List of messages in the input or output. @@ -62091,7 +62091,7 @@ components: type: string type: object LLMObsSpanType: - description: Resource type for an LLM Observability span. + description: Resource type for an Agent Observability span. enum: - span example: span @@ -62099,7 +62099,7 @@ components: x-enum-varnames: - SPAN LLMObsSpansResponse: - description: Response containing a list of LLM Observability spans. + description: Response containing a list of Agent Observability spans. properties: data: description: List of spans matching the query. @@ -62251,7 +62251,7 @@ components: - EXPERIMENT_TRACE - SESSION LLMObsUpdatePromptData: - description: Data object for updating an LLM Observability prompt. + description: Data object for updating an Agent Observability prompt. properties: attributes: $ref: "#/components/schemas/LLMObsUpdatePromptDataAttributes" @@ -62264,7 +62264,7 @@ components: LLMObsUpdatePromptDataAttributes: additionalProperties: false description: >- - Attributes for updating an LLM Observability prompt. At least one of `title` or `description` must be provided; both attributes are optional individually. + Attributes for updating an Agent Observability prompt. At least one of `title` or `description` must be provided; both attributes are optional individually. minProperties: 1 properties: description: @@ -62275,7 +62275,7 @@ components: type: string type: object LLMObsUpdatePromptRequest: - description: Request to update an LLM Observability prompt's metadata. + description: Request to update an Agent Observability prompt's metadata. properties: data: $ref: "#/components/schemas/LLMObsUpdatePromptData" @@ -62283,7 +62283,7 @@ components: - data type: object LLMObsUpdatePromptVersionData: - description: Data object for updating an LLM Observability prompt version. + description: Data object for updating an Agent Observability prompt version. properties: attributes: $ref: "#/components/schemas/LLMObsUpdatePromptVersionDataAttributes" @@ -62296,7 +62296,7 @@ components: LLMObsUpdatePromptVersionDataAttributes: additionalProperties: false description: >- - Attributes for updating an LLM Observability prompt version. At least one of `description`, `labels`, or `env_ids` must be provided; all three attributes are optional individually. + Attributes for updating an Agent Observability prompt version. At least one of `description`, `labels`, or `env_ids` must be provided; all three attributes are optional individually. minProperties: 1 properties: description: @@ -62316,7 +62316,7 @@ components: type: array type: object LLMObsUpdatePromptVersionRequest: - description: Request to update an LLM Observability prompt version's metadata or feature-flag environments. + description: Request to update an Agent Observability prompt version's metadata or feature-flag environments. properties: data: $ref: "#/components/schemas/LLMObsUpdatePromptVersionData" @@ -121782,7 +121782,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/unstable/llm-obs/config/evaluators/custom: get: - description: List all custom LLM Observability evaluator configurations for the organization. + description: List all custom Agent Observability evaluator configurations for the organization. operationId: ListLLMObsCustomEvalConfigs responses: "200": @@ -121844,7 +121844,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/unstable/llm-obs/config/evaluators/custom/{eval_name}: delete: - description: Delete a custom LLM Observability evaluator configuration by its name. + description: Delete a custom Agent Observability evaluator configuration by its name. operationId: DeleteLLMObsCustomEvalConfig parameters: - $ref: "#/components/parameters/LLMObsEvalNamePathParameter" @@ -121888,7 +121888,7 @@ paths: **Note**: This endpoint is in preview and is subject to change. If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). get: - description: Retrieve a custom LLM Observability evaluator configuration by its name. + description: Retrieve a custom Agent Observability evaluator configuration by its name. operationId: GetLLMObsCustomEvalConfig parameters: - $ref: "#/components/parameters/LLMObsEvalNamePathParameter" @@ -121963,7 +121963,7 @@ paths: **Note**: This endpoint is in preview and is subject to change. If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). put: - description: Create or update a custom LLM Observability evaluator configuration by its name. + description: Create or update a custom Agent Observability evaluator configuration by its name. operationId: UpdateLLMObsCustomEvalConfig parameters: - $ref: "#/components/parameters/LLMObsEvalNamePathParameter" @@ -160978,7 +160978,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: List LLM Observability annotation queues + summary: List Agent Observability annotation queues tags: - LLM Observability x-menu-order: 18 @@ -161075,7 +161075,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Create an LLM Observability annotation queue + summary: Create an Agent Observability annotation queue tags: - LLM Observability x-menu-order: 19 @@ -161114,7 +161114,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Delete an LLM Observability annotation queue + summary: Delete an Agent Observability annotation queue tags: - LLM Observability x-menu-order: 21 @@ -161193,7 +161193,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Update an LLM Observability annotation queue + summary: Update an Agent Observability annotation queue tags: - LLM Observability x-menu-order: 20 @@ -161839,7 +161839,7 @@ paths: /api/v2/llm-obs/v1/experimentation/analytics: post: description: |- - Execute an analytics aggregation over LLM Observability experimentation data. + Execute an analytics aggregation over Agent Observability experimentation data. Use this endpoint to compute metrics (for example average eval scores) grouped by fields such as `span_id` or `experiment_id`. At least one `compute` definition and one `index` must be provided. @@ -161917,7 +161917,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Aggregate LLM Observability experimentation + summary: Aggregate Agent Observability experimentation tags: - LLM Observability x-menu-order: 33 @@ -161927,7 +161927,7 @@ paths: /api/v2/llm-obs/v1/experimentation/search: post: description: |- - Search across LLM Observability experimentation entities — projects, datasets, dataset records, experiments, and experiment runs — using cursor-based pagination. + Search across Agent Observability experimentation entities — projects, datasets, dataset records, experiments, and experiment runs — using cursor-based pagination. The `filter.scope` field controls which entity types are returned. At least one valid scope must be provided. @@ -162028,7 +162028,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Search LLM Observability experimentation entities + summary: Search Agent Observability experimentation tags: - LLM Observability x-menu-order: 31 @@ -162038,7 +162038,7 @@ paths: /api/v2/llm-obs/v1/experimentation/simple-search: post: description: |- - Search across LLM Observability experimentation entities using offset-based (page-number) pagination. + Search across Agent Observability experimentation entities using offset-based (page-number) pagination. Use this endpoint when you need total page count or want to navigate to a specific page number. The `filter.scope` field controls which entity types are returned. At least one valid scope must be provided. @@ -162131,7 +162131,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/v2/llm-obs/v1/experiments: get: - description: List all LLM Observability experiments sorted by creation date, newest first. + description: List all Agent Observability experiments sorted by creation date, newest first. operationId: ListLLMObsExperiments parameters: - description: Filter experiments by project ID. Required if `filter[dataset_id]` is not provided. @@ -162248,7 +162248,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: List LLM Observability experiments + summary: List Agent Observability experiments tags: - LLM Observability x-menu-order: 13 @@ -162256,7 +162256,7 @@ paths: **Note**: This endpoint is in preview and is subject to change. If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). post: - description: Create a new LLM Observability experiment. + description: Create a new Agent Observability experiment. operationId: CreateLLMObsExperiment requestBody: content: @@ -162340,7 +162340,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Create an LLM Observability experiment + summary: Create an Agent Observability experiment tags: - LLM Observability x-menu-order: 14 @@ -162349,7 +162349,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/v2/llm-obs/v1/experiments/delete: post: - description: Delete one or more LLM Observability experiments. + description: Delete one or more Agent Observability experiments. operationId: DeleteLLMObsExperiments requestBody: content: @@ -162392,7 +162392,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Delete LLM Observability experiments + summary: Delete Agent Observability experiments tags: - LLM Observability x-menu-order: 16 @@ -162401,7 +162401,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/v2/llm-obs/v1/experiments/{experiment_id}: patch: - description: Partially update an existing LLM Observability experiment. + description: Partially update an existing Agent Observability experiment. operationId: UpdateLLMObsExperiment parameters: - $ref: "#/components/parameters/LLMObsExperimentIDPathParameter" @@ -162468,7 +162468,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Update an LLM Observability experiment + summary: Update an Agent Observability experiment tags: - LLM Observability x-menu-order: 15 @@ -162540,7 +162540,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: List LLM Observability experiment spans (v1) + summary: List Agent Observability experiment spans (v1) tags: - LLM Observability x-menu-order: 49 @@ -162548,7 +162548,7 @@ paths: **Note**: This endpoint is in preview and is subject to change. If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). post: - description: Push spans and metrics for an LLM Observability experiment. + description: Push spans and metrics for an Agent Observability experiment. operationId: CreateLLMObsExperimentEvents parameters: - $ref: "#/components/parameters/LLMObsExperimentIDPathParameter" @@ -162612,7 +162612,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Push events for an LLM Observability experiment + summary: Push events for an Agent Observability experiment tags: - LLM Observability x-menu-order: 17 @@ -162817,7 +162817,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/v2/llm-obs/v1/projects: get: - description: List all LLM Observability projects sorted by creation date, newest first. + description: List all Agent Observability projects sorted by creation date, newest first. operationId: ListLLMObsProjects parameters: - description: Filter projects by project ID. @@ -162882,7 +162882,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: List LLM Observability projects + summary: List Agent Observability projects tags: - LLM Observability x-menu-order: 1 @@ -162890,7 +162890,7 @@ paths: **Note**: This endpoint is in preview and is subject to change. If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). post: - description: Create a new LLM Observability project. Returns the existing project if a name conflict occurs. + description: Create a new Agent Observability project. Returns the existing project if a name conflict occurs. operationId: CreateLLMObsProject requestBody: content: @@ -162964,7 +162964,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Create an LLM Observability project + summary: Create an Agent Observability project tags: - LLM Observability x-menu-order: 2 @@ -162973,7 +162973,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/v2/llm-obs/v1/projects/delete: post: - description: Delete one or more LLM Observability projects. + description: Delete one or more Agent Observability projects. operationId: DeleteLLMObsProjects requestBody: content: @@ -163016,7 +163016,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Delete LLM Observability projects + summary: Delete Agent Observability projects tags: - LLM Observability x-menu-order: 4 @@ -163025,7 +163025,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/v2/llm-obs/v1/projects/{project_id}: patch: - description: Partially update an existing LLM Observability project. + description: Partially update an existing Agent Observability project. operationId: UpdateLLMObsProject parameters: - $ref: "#/components/parameters/LLMObsProjectIDPathParameter" @@ -163088,7 +163088,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Update an LLM Observability project + summary: Update an Agent Observability project tags: - LLM Observability x-menu-order: 3 @@ -163097,7 +163097,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/v2/llm-obs/v1/prompts: get: - description: List all LLM Observability prompts in the prompt registry for the organization. + description: List all Agent Observability prompts in the prompt registry for the organization. operationId: ListLLMObsPrompts parameters: - description: Optional filter for prompts by prompt ID. @@ -163147,7 +163147,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: List LLM Observability prompts + summary: List Agent Observability prompts tags: - LLM Observability x-menu-order: 63 @@ -163159,7 +163159,7 @@ paths: **Note**: This endpoint is in preview and is subject to change. If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). post: - description: Create a new prompt (and its first version) in the LLM Observability prompt registry. + description: Create a new prompt (and its first version) in the Agent Observability prompt registry. operationId: CreateLLMObsPrompt requestBody: content: @@ -163235,7 +163235,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Create an LLM Observability prompt + summary: Create an Agent Observability prompt tags: - LLM Observability x-menu-order: 64 @@ -163253,7 +163253,7 @@ paths: /api/v2/llm-obs/v1/prompts/{prompt_id}: delete: description: >- - Soft-delete an LLM Observability prompt. The prompt's version rows are retained, but they are no longer accessible through the public prompt registry endpoints. + Soft-delete an Agent Observability prompt. The prompt's version rows are retained, but they are no longer accessible through the public prompt registry endpoints. operationId: DeleteLLMObsPrompt parameters: - $ref: "#/components/parameters/LLMObsPromptIDPathParameter" @@ -163296,7 +163296,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Delete an LLM Observability prompt + summary: Delete an Agent Observability prompt tags: - LLM Observability x-menu-order: 67 @@ -163312,7 +163312,7 @@ paths: **Note**: This endpoint is in preview and is subject to change. If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). get: - description: Get the latest version of an LLM Observability prompt by prompt ID. + description: Get the latest version of an Agent Observability prompt by prompt ID. operationId: GetLLMObsPrompt parameters: - $ref: "#/components/parameters/LLMObsPromptIDPathParameter" @@ -163362,7 +163362,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Get an LLM Observability prompt + summary: Get an Agent Observability prompt tags: - LLM Observability x-menu-order: 65 @@ -163374,7 +163374,7 @@ paths: **Note**: This endpoint is in preview and is subject to change. If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). patch: - description: Update the title, the description, or both, for an LLM Observability prompt. + description: Update the title, the description, or both, for an Agent Observability prompt. operationId: UpdateLLMObsPrompt parameters: - $ref: "#/components/parameters/LLMObsPromptIDPathParameter" @@ -163446,7 +163446,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Update an LLM Observability prompt + summary: Update an Agent Observability prompt tags: - LLM Observability x-menu-order: 66 @@ -163464,7 +163464,7 @@ paths: /api/v2/llm-obs/v1/prompts/{prompt_id}/versions: get: description: >- - List all versions of an LLM Observability prompt, ordered newest to oldest. If the prompt does not exist, is not registered, or is archived, the response contains an empty list. + List all versions of an Agent Observability prompt, ordered newest to oldest. If the prompt does not exist, is not registered, or is archived, the response contains an empty list. operationId: ListLLMObsPromptVersions parameters: - $ref: "#/components/parameters/LLMObsPromptIDPathParameter" @@ -163516,7 +163516,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: List versions of an LLM Observability prompt + summary: List versions of an Agent Observability prompt tags: - LLM Observability x-menu-order: 68 @@ -163528,7 +163528,7 @@ paths: **Note**: This endpoint is in preview and is subject to change. If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). post: - description: Create a new version of an existing LLM Observability prompt. + description: Create a new version of an existing Agent Observability prompt. operationId: CreateLLMObsPromptVersion parameters: - $ref: "#/components/parameters/LLMObsPromptIDPathParameter" @@ -163606,7 +163606,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Create a new LLM Observability prompt version + summary: Create a new Agent Observability prompt version tags: - LLM Observability x-menu-order: 69 @@ -163623,7 +163623,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/v2/llm-obs/v1/prompts/{prompt_id}/versions/{version}: get: - description: Get the full template of a single, specific version of an LLM Observability prompt. + description: Get the full template of a single, specific version of an Agent Observability prompt. operationId: GetLLMObsPromptVersion parameters: - $ref: "#/components/parameters/LLMObsPromptIDPathParameter" @@ -163683,7 +163683,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Get a specific LLM Observability prompt version + summary: Get a specific Agent Observability prompt version tags: - LLM Observability x-menu-order: 70 @@ -163696,7 +163696,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). patch: description: >- - Update the description, the feature-flag environments, or both, for a specific version of an LLM Observability prompt. + Update the description, the feature-flag environments, or both, for a specific version of an Agent Observability prompt. operationId: UpdateLLMObsPromptVersion parameters: - $ref: "#/components/parameters/LLMObsPromptIDPathParameter" @@ -163770,7 +163770,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Update a specific LLM Observability prompt version + summary: Update an Agent Observability prompt version tags: - LLM Observability x-menu-order: 71 @@ -163787,7 +163787,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/v2/llm-obs/v1/spans/events: get: - description: List LLM Observability spans matching the specified filters. + description: List Agent Observability spans matching the specified filters. operationId: ListLLMObsSpans parameters: - description: Start of the time range. Accepts ISO 8601 or relative format (e.g., `now-15m`). Defaults to `now-15m`. @@ -163803,7 +163803,7 @@ paths: example: "now" type: string - description: >- - Search query using LLM Observability query syntax. Supports attribute filters using the field:value syntax (e.g. session_id, trace_id, ml_app, meta.span.kind). When provided, structured field filters (`filter[span_id]`, `filter[trace_id]`, etc.) are ignored. + Search query using Agent Observability query syntax. Supports attribute filters using the field:value syntax (e.g. session_id, trace_id, ml_app, meta.span.kind). When provided, structured field filters (`filter[span_id]`, `filter[trace_id]`, etc.) are ignored. in: query name: filter[query] schema: @@ -163930,7 +163930,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: List LLM Observability spans + summary: List Agent Observability spans tags: - LLM Observability x-menu-order: 34 @@ -163939,7 +163939,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/v2/llm-obs/v1/spans/events/search: post: - description: Search LLM Observability spans using structured filters in the request body. + description: Search Agent Observability spans using structured filters in the request body. operationId: SearchLLMObsSpans requestBody: content: @@ -164030,7 +164030,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Search LLM Observability spans + summary: Search Agent Observability spans tags: - LLM Observability x-menu-order: 35 @@ -164775,7 +164775,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/v2/llm-obs/v1/{project_id}/datasets: get: - description: List all LLM Observability datasets for a project, sorted by creation date, newest first. + description: List all Agent Observability datasets for a project, sorted by creation date, newest first. operationId: ListLLMObsDatasets parameters: - $ref: "#/components/parameters/LLMObsProjectIDPathParameter" @@ -164849,7 +164849,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: List LLM Observability datasets + summary: List Agent Observability datasets tags: - LLM Observability x-menu-order: 5 @@ -164857,7 +164857,7 @@ paths: **Note**: This endpoint is in preview and is subject to change. If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). post: - description: Create a new LLM Observability dataset within the specified project. + description: Create a new Agent Observability dataset within the specified project. operationId: CreateLLMObsDataset parameters: - $ref: "#/components/parameters/LLMObsProjectIDPathParameter" @@ -164943,7 +164943,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Create an LLM Observability dataset + summary: Create an Agent Observability dataset tags: - LLM Observability x-menu-order: 6 @@ -164952,7 +164952,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/v2/llm-obs/v1/{project_id}/datasets/delete: post: - description: Delete one or more LLM Observability datasets within the specified project. + description: Delete one or more Agent Observability datasets within the specified project. operationId: DeleteLLMObsDatasets parameters: - $ref: "#/components/parameters/LLMObsProjectIDPathParameter" @@ -165003,7 +165003,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Delete LLM Observability datasets + summary: Delete Agent Observability datasets tags: - LLM Observability x-menu-order: 11 @@ -165012,7 +165012,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}: patch: - description: Partially update an existing LLM Observability dataset within the specified project. + description: Partially update an existing Agent Observability dataset within the specified project. operationId: UpdateLLMObsDataset parameters: - $ref: "#/components/parameters/LLMObsProjectIDPathParameter" @@ -165078,7 +165078,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Update an LLM Observability dataset + summary: Update an Agent Observability dataset tags: - LLM Observability x-menu-order: 9 @@ -165090,14 +165090,14 @@ paths: description: Insert, update, and delete records in a single dataset operation. By default, a new dataset version is created when the batch is applied. operationId: BatchUpdateLLMObsDataset parameters: - - description: The ID of the LLM Observability project. + - description: The ID of the Agent Observability project. example: "a33671aa-24fd-4dcd-9b33-a8ec7dde7751" in: path name: project_id required: true schema: type: string - - description: The ID of the LLM Observability dataset. + - description: The ID of the Agent Observability dataset. example: "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d" in: path name: dataset_id @@ -165194,7 +165194,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Batch update LLM Observability dataset records + summary: Batch update Agent Observability dataset records tags: - LLM Observability x-menu-order: 45 @@ -165206,14 +165206,14 @@ paths: description: Clone a dataset, copying its current records into a new dataset within the same project. operationId: CloneLLMObsDataset parameters: - - description: The ID of the LLM Observability project. + - description: The ID of the Agent Observability project. example: "a33671aa-24fd-4dcd-9b33-a8ec7dde7751" in: path name: project_id required: true schema: type: string - - description: The ID of the source LLM Observability dataset to clone. + - description: The ID of the source Agent Observability dataset to clone. example: "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d" in: path name: dataset_id @@ -165291,7 +165291,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Clone an LLM Observability dataset + summary: Clone an Agent Observability dataset tags: - LLM Observability x-menu-order: 46 @@ -165303,14 +165303,14 @@ paths: description: Retrieve the draft state of a dataset, including whether it is currently locked for editing and which user holds the lock. operationId: GetLLMObsDatasetDraftState parameters: - - description: The ID of the LLM Observability project. + - description: The ID of the Agent Observability project. example: "a33671aa-24fd-4dcd-9b33-a8ec7dde7751" in: path name: project_id required: true schema: type: string - - description: The ID of the LLM Observability dataset. + - description: The ID of the Agent Observability dataset. example: "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d" in: path name: dataset_id @@ -165372,7 +165372,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Get LLM Observability dataset draft state + summary: Get Agent Observability dataset draft state tags: - LLM Observability x-menu-order: 40 @@ -165384,14 +165384,14 @@ paths: description: Acquire the draft lock on a dataset for the calling user. The lock prevents other users from concurrently editing the dataset draft. operationId: LockLLMObsDatasetDraftState parameters: - - description: The ID of the LLM Observability project. + - description: The ID of the Agent Observability project. example: "a33671aa-24fd-4dcd-9b33-a8ec7dde7751" in: path name: project_id required: true schema: type: string - - description: The ID of the LLM Observability dataset. + - description: The ID of the Agent Observability dataset. example: "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d" in: path name: dataset_id @@ -165453,7 +165453,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Lock LLM Observability dataset draft state + summary: Lock Agent Observability dataset draft state tags: - LLM Observability x-menu-order: 41 @@ -165465,14 +165465,14 @@ paths: description: Release the draft lock on a dataset held by the calling user, allowing other users to edit the dataset draft. operationId: UnlockLLMObsDatasetDraftState parameters: - - description: The ID of the LLM Observability project. + - description: The ID of the Agent Observability project. example: "a33671aa-24fd-4dcd-9b33-a8ec7dde7751" in: path name: project_id required: true schema: type: string - - description: The ID of the LLM Observability dataset. + - description: The ID of the Agent Observability dataset. example: "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d" in: path name: dataset_id @@ -165517,7 +165517,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Unlock LLM Observability dataset draft state + summary: Unlock Agent Observability dataset draft state tags: - LLM Observability x-menu-order: 42 @@ -165529,14 +165529,14 @@ paths: description: Download the contents of a dataset as a CSV file. The download is streamed and includes one row per dataset record. operationId: ExportLLMObsDataset parameters: - - description: The ID of the LLM Observability project. + - description: The ID of the Agent Observability project. example: "a33671aa-24fd-4dcd-9b33-a8ec7dde7751" in: path name: project_id required: true schema: type: string - - description: The ID of the LLM Observability dataset. + - description: The ID of the Agent Observability dataset. example: "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d" in: path name: dataset_id @@ -165600,7 +165600,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Export an LLM Observability dataset + summary: Export an Agent Observability dataset tags: - LLM Observability x-menu-order: 44 @@ -165609,7 +165609,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}/records: get: - description: List all records in an LLM Observability dataset, sorted by creation date, newest first. + description: List all records in an Agent Observability dataset, sorted by creation date, newest first. operationId: ListLLMObsDatasetRecords parameters: - $ref: "#/components/parameters/LLMObsProjectIDPathParameter" @@ -165680,7 +165680,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: List LLM Observability dataset records + summary: List Agent Observability dataset records tags: - LLM Observability x-menu-order: 7 @@ -165688,7 +165688,7 @@ paths: **Note**: This endpoint is in preview and is subject to change. If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). patch: - description: Update one or more existing records in an LLM Observability dataset. + description: Update one or more existing records in an Agent Observability dataset. operationId: UpdateLLMObsDatasetRecords parameters: - $ref: "#/components/parameters/LLMObsProjectIDPathParameter" @@ -165758,7 +165758,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Update LLM Observability dataset records + summary: Update Agent Observability dataset records tags: - LLM Observability x-menu-order: 10 @@ -165766,7 +165766,7 @@ paths: **Note**: This endpoint is in preview and is subject to change. If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). post: - description: Append one or more records to an LLM Observability dataset. + description: Append one or more records to an Agent Observability dataset. operationId: CreateLLMObsDatasetRecords parameters: - $ref: "#/components/parameters/LLMObsProjectIDPathParameter" @@ -165853,7 +165853,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Append records to an LLM Observability dataset + summary: Append records to an Agent Observability dataset tags: - LLM Observability x-menu-order: 8 @@ -165862,7 +165862,7 @@ paths: If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). /api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}/records/delete: post: - description: Delete one or more records from an LLM Observability dataset. + description: Delete one or more records from an Agent Observability dataset. operationId: DeleteLLMObsDatasetRecords parameters: - $ref: "#/components/parameters/LLMObsProjectIDPathParameter" @@ -165914,7 +165914,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Delete LLM Observability dataset records + summary: Delete Agent Observability dataset records tags: - LLM Observability x-menu-order: 12 @@ -165926,14 +165926,14 @@ paths: description: Restore a dataset to a previous version. The dataset's current version is bumped, and its records are replaced with the records from the specified prior version. operationId: RestoreLLMObsDatasetVersion parameters: - - description: The ID of the LLM Observability project. + - description: The ID of the Agent Observability project. example: "a33671aa-24fd-4dcd-9b33-a8ec7dde7751" in: path name: project_id required: true schema: type: string - - description: The ID of the LLM Observability dataset. + - description: The ID of the Agent Observability dataset. example: "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d" in: path name: dataset_id @@ -165993,7 +165993,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Restore an LLM Observability dataset version + summary: Restore an Agent Observability dataset version tags: - LLM Observability x-menu-order: 47 @@ -166005,14 +166005,14 @@ paths: description: List the active versions of a dataset. A version is created each time a dataset is referenced by an experiment run. operationId: ListLLMObsDatasetVersions parameters: - - description: The ID of the LLM Observability project. + - description: The ID of the Agent Observability project. example: "a33671aa-24fd-4dcd-9b33-a8ec7dde7751" in: path name: project_id required: true schema: type: string - - description: The ID of the LLM Observability dataset. + - description: The ID of the Agent Observability dataset. example: "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d" in: path name: dataset_id @@ -166077,7 +166077,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: List LLM Observability dataset versions + summary: List Agent Observability dataset versions tags: - LLM Observability x-menu-order: 43 @@ -166152,7 +166152,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: List LLM Observability experiment events (v2) + summary: List Agent Observability experiment events (v2) tags: - LLM Observability x-menu-order: 50 @@ -166171,14 +166171,14 @@ paths: - `error`: terminal event with a JSON body containing an error `message`. operationId: UploadLLMObsDatasetRecordsFile parameters: - - description: The ID of the LLM Observability project. + - description: The ID of the Agent Observability project. example: "a33671aa-24fd-4dcd-9b33-a8ec7dde7751" in: path name: project_id required: true schema: type: string - - description: The ID of the LLM Observability dataset. + - description: The ID of the Agent Observability dataset. example: "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d" in: path name: dataset_id @@ -166258,7 +166258,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: Upload records to an LLM Observability dataset + summary: Upload records to an Agent Observability dataset tags: - LLM Observability x-menu-order: 48 @@ -166345,7 +166345,7 @@ paths: security: - apiKeyAuth: [] appKeyAuth: [] - summary: List events for an LLM Observability experiment + summary: List events for an Agent Observability experiment tags: - LLM Observability x-menu-order: 30 @@ -217723,7 +217723,7 @@ tags: url: "https://docs.datadoghq.com/account_management/api-app-keys/" name: Key Management - description: >- - Manage LLM Observability spans, data, projects, datasets, dataset records, experiments, prompts, and annotations. + Manage Agent Observability spans, data, projects, datasets, dataset records, experiments, prompts, and annotations. name: LLM Observability - description: |- Search your logs and send them to your Datadog platform over HTTP. See the [Log Management page](https://docs.datadoghq.com/logs/) for more information. diff --git a/hugo/data/api/v2/translate_actions.json b/hugo/data/api/v2/translate_actions.json index 0fd6fc13591..48df3da4e91 100644 --- a/hugo/data/api/v2/translate_actions.json +++ b/hugo/data/api/v2/translate_actions.json @@ -28,22 +28,22 @@ "summary": "List all fleet tracers" }, "ListLLMObsCustomEvalConfigs": { - "description": "List all custom LLM Observability evaluator configurations for the organization.", + "description": "List all custom Agent Observability evaluator configurations for the organization.", "summary": "List custom evaluator configurations" }, "DeleteLLMObsCustomEvalConfig": { - "description": "Delete a custom LLM Observability evaluator configuration by its name.", + "description": "Delete a custom Agent Observability evaluator configuration by its name.", "summary": "Delete a custom evaluator configuration" }, "GetLLMObsCustomEvalConfig": { - "description": "Retrieve a custom LLM Observability evaluator configuration by its name.", + "description": "Retrieve a custom Agent Observability evaluator configuration by its name.", "summary": "Get a custom evaluator configuration" }, "UpdateLLMObsCustomEvalConfig": { - "description": "Create or update a custom LLM Observability evaluator configuration by its name.", + "description": "Create or update a custom Agent Observability evaluator configuration by its name.", "summary": "Create or update a custom evaluator configuration", "request_description": "Custom evaluator configuration payload.", - "request_schema_description": "Request to create or update a custom LLM Observability evaluator configuration." + "request_schema_description": "Request to create or update a custom Agent Observability evaluator configuration." }, "ListDatastores": { "description": "Lists all datastores for the organization.", @@ -3257,23 +3257,23 @@ }, "ListLLMObsAnnotationQueues": { "description": "List annotation queues. Optionally filter by project ID or queue IDs. These parameters are mutually exclusive.\nIf neither is provided, all queues in the organization are returned.", - "summary": "List LLM Observability annotation queues" + "summary": "List Agent Observability annotation queues" }, "CreateLLMObsAnnotationQueue": { "description": "Create an annotation queue. The `name` and `project_id` fields are required.\nAn optional `annotation_schema` can be provided to define the labels for the queue.\nFields such as `created_by`, `owned_by`, `created_at`, `modified_by`,\nand `modified_at` are inferred by the backend.", - "summary": "Create an LLM Observability annotation queue", + "summary": "Create an Agent Observability annotation queue", "request_description": "Create annotation queue payload.", - "request_schema_description": "Request to create an LLM Observability annotation queue." + "request_schema_description": "Request to create an Agent Observability annotation queue." }, "DeleteLLMObsAnnotationQueue": { "description": "Delete an annotation queue by its ID.", - "summary": "Delete an LLM Observability annotation queue" + "summary": "Delete an Agent Observability annotation queue" }, "UpdateLLMObsAnnotationQueue": { "description": "Partially update an annotation queue. The `name`, `description`, and `annotation_schema` fields can be updated.", - "summary": "Update an LLM Observability annotation queue", + "summary": "Update an Agent Observability annotation queue", "request_description": "Update annotation queue payload.", - "request_schema_description": "Request to update an LLM Observability annotation queue." + "request_schema_description": "Request to update an Agent Observability annotation queue." }, "GetLLMObsAnnotatedInteractions": { "description": "Retrieve all interactions (traces and sessions) and their annotations for a given annotation queue.", @@ -3295,13 +3295,13 @@ "description": "Add one or more interactions to an annotation queue. At least one\ninteraction must be provided. Each interaction has a `type`:\n\n- `trace`, `experiment_trace`, `session`: `content_id` references the\n upstream entity; the server fetches the actual content.\n- `display_block`: omit `content_id` and provide the rendered content\n in `display_block`. The server generates `content_id` as a\n deterministic hash of the block list.\n\nItems of different types can be mixed in a single request.", "summary": "Add annotation queue interactions", "request_description": "Add interactions payload.", - "request_schema_description": "Request to add interactions to an LLM Observability annotation queue." + "request_schema_description": "Request to add interactions to an Agent Observability annotation queue." }, "DeleteLLMObsAnnotationQueueInteractions": { "description": "Delete one or more interactions from an annotation queue.", "summary": "Delete annotation queue interactions", "request_description": "Delete interactions payload.", - "request_schema_description": "Request to delete interactions from an LLM Observability annotation queue." + "request_schema_description": "Request to delete interactions from an Agent Observability annotation queue." }, "GetLLMObsAnnotationQueueLabelSchema": { "description": "Retrieve the label schema for a given annotation queue.", @@ -3314,54 +3314,54 @@ "request_schema_description": "Request to update the label schema of an annotation queue." }, "AggregateLLMObsExperimentation": { - "description": "Execute an analytics aggregation over LLM Observability experimentation data.\nUse this endpoint to compute metrics (for example average eval scores) grouped by fields such as `span_id` or `experiment_id`.\n\nAt least one `compute` definition and one `index` must be provided.", - "summary": "Aggregate LLM Observability experimentation", + "description": "Execute an analytics aggregation over Agent Observability experimentation data.\nUse this endpoint to compute metrics (for example average eval scores) grouped by fields such as `span_id` or `experiment_id`.\n\nAt least one `compute` definition and one `index` must be provided.", + "summary": "Aggregate Agent Observability experimentation", "request_description": "Analytics payload.", - "request_schema_description": "Request to run an analytics aggregation over LLM Observability experimentation data." + "request_schema_description": "Request to run an analytics aggregation over Agent Observability experimentation data." }, "SearchLLMObsExperimentation": { - "description": "Search across LLM Observability experimentation entities — projects, datasets, dataset records, experiments, and experiment runs — using cursor-based pagination.\n\nThe `filter.scope` field controls which entity types are returned. At least one valid scope must be provided.\n\nReturns `200 OK` when all results fit in a single page. Returns `206 Partial Content` with a cursor in `meta.after` when additional pages are available.", - "summary": "Search LLM Observability experimentation entities", + "description": "Search across Agent Observability experimentation entities — projects, datasets, dataset records, experiments, and experiment runs — using cursor-based pagination.\n\nThe `filter.scope` field controls which entity types are returned. At least one valid scope must be provided.\n\nReturns `200 OK` when all results fit in a single page. Returns `206 Partial Content` with a cursor in `meta.after` when additional pages are available.", + "summary": "Search Agent Observability experimentation", "request_description": "Experimentation search payload.", - "request_schema_description": "Request to search across LLM Observability experimentation entities using cursor-based pagination." + "request_schema_description": "Request to search across Agent Observability experimentation entities using cursor-based pagination." }, "SimpleSearchLLMObsExperimentation": { - "description": "Search across LLM Observability experimentation entities using offset-based (page-number) pagination.\nUse this endpoint when you need total page count or want to navigate to a specific page number.\n\nThe `filter.scope` field controls which entity types are returned. At least one valid scope must be provided.", + "description": "Search across Agent Observability experimentation entities using offset-based (page-number) pagination.\nUse this endpoint when you need total page count or want to navigate to a specific page number.\n\nThe `filter.scope` field controls which entity types are returned. At least one valid scope must be provided.", "summary": "Simple search experimentation entities", "request_description": "Simple search payload.", - "request_schema_description": "Request to search across LLM Observability experimentation entities using offset-based pagination." + "request_schema_description": "Request to search across Agent Observability experimentation entities using offset-based pagination." }, "ListLLMObsExperiments": { - "description": "List all LLM Observability experiments sorted by creation date, newest first.", - "summary": "List LLM Observability experiments" + "description": "List all Agent Observability experiments sorted by creation date, newest first.", + "summary": "List Agent Observability experiments" }, "CreateLLMObsExperiment": { - "description": "Create a new LLM Observability experiment.", - "summary": "Create an LLM Observability experiment", + "description": "Create a new Agent Observability experiment.", + "summary": "Create an Agent Observability experiment", "request_description": "Create experiment payload.", - "request_schema_description": "Request to create an LLM Observability experiment." + "request_schema_description": "Request to create an Agent Observability experiment." }, "DeleteLLMObsExperiments": { - "description": "Delete one or more LLM Observability experiments.", - "summary": "Delete LLM Observability experiments", + "description": "Delete one or more Agent Observability experiments.", + "summary": "Delete Agent Observability experiments", "request_description": "Delete experiments payload.", - "request_schema_description": "Request to delete one or more LLM Observability experiments." + "request_schema_description": "Request to delete one or more Agent Observability experiments." }, "UpdateLLMObsExperiment": { - "description": "Partially update an existing LLM Observability experiment.", - "summary": "Update an LLM Observability experiment", + "description": "Partially update an existing Agent Observability experiment.", + "summary": "Update an Agent Observability experiment", "request_description": "Update experiment payload.", - "request_schema_description": "Request to partially update an LLM Observability experiment." + "request_schema_description": "Request to partially update an Agent Observability experiment." }, "ListLLMObsExperimentEventsV1": { "description": "Retrieve spans with their evaluation metrics for a given experiment. Returns spans only, with no summary metrics and no pagination. Deprecated in favor of `ListLLMObsExperimentEventsV3`.", - "summary": "List LLM Observability experiment spans (v1)" + "summary": "List Agent Observability experiment spans (v1)" }, "CreateLLMObsExperimentEvents": { - "description": "Push spans and metrics for an LLM Observability experiment.", - "summary": "Push events for an LLM Observability experiment", + "description": "Push spans and metrics for an Agent Observability experiment.", + "summary": "Push events for an Agent Observability experiment", "request_description": "Experiment events payload.", - "request_schema_description": "Request to push spans and metrics for an LLM Observability experiment." + "request_schema_description": "Request to push spans and metrics for an Agent Observability experiment." }, "ListLLMObsIntegrationAccounts": { "description": "Retrieve the list of configured accounts for the specified LLM provider integration.", @@ -3378,80 +3378,80 @@ "summary": "List LLM integration models" }, "ListLLMObsProjects": { - "description": "List all LLM Observability projects sorted by creation date, newest first.", - "summary": "List LLM Observability projects" + "description": "List all Agent Observability projects sorted by creation date, newest first.", + "summary": "List Agent Observability projects" }, "CreateLLMObsProject": { - "description": "Create a new LLM Observability project. Returns the existing project if a name conflict occurs.", - "summary": "Create an LLM Observability project", + "description": "Create a new Agent Observability project. Returns the existing project if a name conflict occurs.", + "summary": "Create an Agent Observability project", "request_description": "Create project payload.", - "request_schema_description": "Request to create an LLM Observability project." + "request_schema_description": "Request to create an Agent Observability project." }, "DeleteLLMObsProjects": { - "description": "Delete one or more LLM Observability projects.", - "summary": "Delete LLM Observability projects", + "description": "Delete one or more Agent Observability projects.", + "summary": "Delete Agent Observability projects", "request_description": "Delete projects payload.", - "request_schema_description": "Request to delete one or more LLM Observability projects." + "request_schema_description": "Request to delete one or more Agent Observability projects." }, "UpdateLLMObsProject": { - "description": "Partially update an existing LLM Observability project.", - "summary": "Update an LLM Observability project", + "description": "Partially update an existing Agent Observability project.", + "summary": "Update an Agent Observability project", "request_description": "Update project payload.", - "request_schema_description": "Request to partially update an LLM Observability project." + "request_schema_description": "Request to partially update an Agent Observability project." }, "ListLLMObsPrompts": { - "description": "List all LLM Observability prompts in the prompt registry for the organization.", - "summary": "List LLM Observability prompts" + "description": "List all Agent Observability prompts in the prompt registry for the organization.", + "summary": "List Agent Observability prompts" }, "CreateLLMObsPrompt": { - "description": "Create a new prompt (and its first version) in the LLM Observability prompt registry.", - "summary": "Create an LLM Observability prompt", + "description": "Create a new prompt (and its first version) in the Agent Observability prompt registry.", + "summary": "Create an Agent Observability prompt", "request_description": "Create prompt payload.", - "request_schema_description": "Request to create an LLM Observability prompt." + "request_schema_description": "Request to create an Agent Observability prompt." }, "DeleteLLMObsPrompt": { - "description": "Soft-delete an LLM Observability prompt. The prompt's version rows are retained, but they are no longer accessible through the public prompt registry endpoints.", - "summary": "Delete an LLM Observability prompt" + "description": "Soft-delete an Agent Observability prompt. The prompt's version rows are retained, but they are no longer accessible through the public prompt registry endpoints.", + "summary": "Delete an Agent Observability prompt" }, "GetLLMObsPrompt": { - "description": "Get the latest version of an LLM Observability prompt by prompt ID.", - "summary": "Get an LLM Observability prompt" + "description": "Get the latest version of an Agent Observability prompt by prompt ID.", + "summary": "Get an Agent Observability prompt" }, "UpdateLLMObsPrompt": { - "description": "Update the title, the description, or both, for an LLM Observability prompt.", - "summary": "Update an LLM Observability prompt", + "description": "Update the title, the description, or both, for an Agent Observability prompt.", + "summary": "Update an Agent Observability prompt", "request_description": "Update prompt payload.", - "request_schema_description": "Request to update an LLM Observability prompt's metadata." + "request_schema_description": "Request to update an Agent Observability prompt's metadata." }, "ListLLMObsPromptVersions": { - "description": "List all versions of an LLM Observability prompt, ordered newest to oldest. If the prompt does not exist, is not registered, or is archived, the response contains an empty list.", - "summary": "List versions of an LLM Observability prompt" + "description": "List all versions of an Agent Observability prompt, ordered newest to oldest. If the prompt does not exist, is not registered, or is archived, the response contains an empty list.", + "summary": "List versions of an Agent Observability prompt" }, "CreateLLMObsPromptVersion": { - "description": "Create a new version of an existing LLM Observability prompt.", - "summary": "Create a new LLM Observability prompt version", + "description": "Create a new version of an existing Agent Observability prompt.", + "summary": "Create a new Agent Observability prompt version", "request_description": "Create prompt version payload.", - "request_schema_description": "Request to create a new version of an LLM Observability prompt." + "request_schema_description": "Request to create a new version of an Agent Observability prompt." }, "GetLLMObsPromptVersion": { - "description": "Get the full template of a single, specific version of an LLM Observability prompt.", - "summary": "Get a specific LLM Observability prompt version" + "description": "Get the full template of a single, specific version of an Agent Observability prompt.", + "summary": "Get a specific Agent Observability prompt version" }, "UpdateLLMObsPromptVersion": { - "description": "Update the description, the feature-flag environments, or both, for a specific version of an LLM Observability prompt.", - "summary": "Update a specific LLM Observability prompt version", + "description": "Update the description, the feature-flag environments, or both, for a specific version of an Agent Observability prompt.", + "summary": "Update an Agent Observability prompt version", "request_description": "Update prompt version payload.", - "request_schema_description": "Request to update an LLM Observability prompt version's metadata or feature-flag environments." + "request_schema_description": "Request to update an Agent Observability prompt version's metadata or feature-flag environments." }, "ListLLMObsSpans": { - "description": "List LLM Observability spans matching the specified filters.", - "summary": "List LLM Observability spans" + "description": "List Agent Observability spans matching the specified filters.", + "summary": "List Agent Observability spans" }, "SearchLLMObsSpans": { - "description": "Search LLM Observability spans using structured filters in the request body.", - "summary": "Search LLM Observability spans", + "description": "Search Agent Observability spans using structured filters in the request body.", + "summary": "Search Agent Observability spans", "request_description": "Search spans payload.", - "request_schema_description": "Request body for searching LLM Observability spans." + "request_schema_description": "Request body for searching Agent Observability spans." }, "ListLLMObsPatternsClusteredPoints": { "description": "List the data points grouped into a topic. For a parent topic, points from all\nof its leaf topics are returned.", @@ -3465,7 +3465,7 @@ "description": "Create a new patterns configuration, or update an existing one when a configuration ID is provided.", "summary": "Create or update a patterns configuration", "request_description": "Patterns configuration payload.", - "request_schema_description": "Request to create or update an LLM Observability patterns configuration." + "request_schema_description": "Request to create or update an Agent Observability patterns configuration." }, "GetLLMObsPatternsConfig": { "description": "Retrieve the patterns configuration for the organization.", @@ -3483,7 +3483,7 @@ "description": "Start a patterns run for a given configuration. The run executes asynchronously.", "summary": "Trigger a patterns run", "request_description": "Trigger patterns payload.", - "request_schema_description": "Request to trigger an LLM Observability patterns run." + "request_schema_description": "Request to trigger an Agent Observability patterns run." }, "GetLLMObsPatternsRunStatus": { "description": "Retrieve the status and step-by-step progress of the current or most recent\npatterns run for a configuration.", @@ -3498,100 +3498,100 @@ "summary": "List patterns topics with clustered points" }, "ListLLMObsDatasets": { - "description": "List all LLM Observability datasets for a project, sorted by creation date, newest first.", - "summary": "List LLM Observability datasets" + "description": "List all Agent Observability datasets for a project, sorted by creation date, newest first.", + "summary": "List Agent Observability datasets" }, "CreateLLMObsDataset": { - "description": "Create a new LLM Observability dataset within the specified project.", - "summary": "Create an LLM Observability dataset", + "description": "Create a new Agent Observability dataset within the specified project.", + "summary": "Create an Agent Observability dataset", "request_description": "Create dataset payload.", - "request_schema_description": "Request to create an LLM Observability dataset." + "request_schema_description": "Request to create an Agent Observability dataset." }, "DeleteLLMObsDatasets": { - "description": "Delete one or more LLM Observability datasets within the specified project.", - "summary": "Delete LLM Observability datasets", + "description": "Delete one or more Agent Observability datasets within the specified project.", + "summary": "Delete Agent Observability datasets", "request_description": "Delete datasets payload.", - "request_schema_description": "Request to delete one or more LLM Observability datasets." + "request_schema_description": "Request to delete one or more Agent Observability datasets." }, "UpdateLLMObsDataset": { - "description": "Partially update an existing LLM Observability dataset within the specified project.", - "summary": "Update an LLM Observability dataset", + "description": "Partially update an existing Agent Observability dataset within the specified project.", + "summary": "Update an Agent Observability dataset", "request_description": "Update dataset payload.", - "request_schema_description": "Request to partially update an LLM Observability dataset." + "request_schema_description": "Request to partially update an Agent Observability dataset." }, "BatchUpdateLLMObsDataset": { "description": "Insert, update, and delete records in a single dataset operation. By default, a new dataset version is created when the batch is applied.", - "summary": "Batch update LLM Observability dataset records", + "summary": "Batch update Agent Observability dataset records", "request_description": "Batch update payload.", - "request_schema_description": "Request to batch-insert, update, and delete records in an LLM Observability dataset." + "request_schema_description": "Request to batch-insert, update, and delete records in an Agent Observability dataset." }, "CloneLLMObsDataset": { "description": "Clone a dataset, copying its current records into a new dataset within the same project.", - "summary": "Clone an LLM Observability dataset", + "summary": "Clone an Agent Observability dataset", "request_description": "Clone dataset payload.", - "request_schema_description": "Request to clone an LLM Observability dataset." + "request_schema_description": "Request to clone an Agent Observability dataset." }, "GetLLMObsDatasetDraftState": { "description": "Retrieve the draft state of a dataset, including whether it is currently locked for editing and which user holds the lock.", - "summary": "Get LLM Observability dataset draft state" + "summary": "Get Agent Observability dataset draft state" }, "LockLLMObsDatasetDraftState": { "description": "Acquire the draft lock on a dataset for the calling user. The lock prevents other users from concurrently editing the dataset draft.", - "summary": "Lock LLM Observability dataset draft state" + "summary": "Lock Agent Observability dataset draft state" }, "UnlockLLMObsDatasetDraftState": { "description": "Release the draft lock on a dataset held by the calling user, allowing other users to edit the dataset draft.", - "summary": "Unlock LLM Observability dataset draft state" + "summary": "Unlock Agent Observability dataset draft state" }, "ExportLLMObsDataset": { "description": "Download the contents of a dataset as a CSV file. The download is streamed and includes one row per dataset record.", - "summary": "Export an LLM Observability dataset" + "summary": "Export an Agent Observability dataset" }, "ListLLMObsDatasetRecords": { - "description": "List all records in an LLM Observability dataset, sorted by creation date, newest first.", - "summary": "List LLM Observability dataset records" + "description": "List all records in an Agent Observability dataset, sorted by creation date, newest first.", + "summary": "List Agent Observability dataset records" }, "UpdateLLMObsDatasetRecords": { - "description": "Update one or more existing records in an LLM Observability dataset.", - "summary": "Update LLM Observability dataset records", + "description": "Update one or more existing records in an Agent Observability dataset.", + "summary": "Update Agent Observability dataset records", "request_description": "Update records payload.", - "request_schema_description": "Request to update records in an LLM Observability dataset." + "request_schema_description": "Request to update records in an Agent Observability dataset." }, "CreateLLMObsDatasetRecords": { - "description": "Append one or more records to an LLM Observability dataset.", - "summary": "Append records to an LLM Observability dataset", + "description": "Append one or more records to an Agent Observability dataset.", + "summary": "Append records to an Agent Observability dataset", "request_description": "Append records payload.", - "request_schema_description": "Request to append records to an LLM Observability dataset." + "request_schema_description": "Request to append records to an Agent Observability dataset." }, "DeleteLLMObsDatasetRecords": { - "description": "Delete one or more records from an LLM Observability dataset.", - "summary": "Delete LLM Observability dataset records", + "description": "Delete one or more records from an Agent Observability dataset.", + "summary": "Delete Agent Observability dataset records", "request_description": "Delete records payload.", - "request_schema_description": "Request to delete records from an LLM Observability dataset." + "request_schema_description": "Request to delete records from an Agent Observability dataset." }, "RestoreLLMObsDatasetVersion": { "description": "Restore a dataset to a previous version. The dataset's current version is bumped, and its records are replaced with the records from the specified prior version.", - "summary": "Restore an LLM Observability dataset version", + "summary": "Restore an Agent Observability dataset version", "request_description": "Restore dataset version payload.", - "request_schema_description": "Request to restore an LLM Observability dataset to a previous version." + "request_schema_description": "Request to restore an Agent Observability dataset to a previous version." }, "ListLLMObsDatasetVersions": { "description": "List the active versions of a dataset. A version is created each time a dataset is referenced by an experiment run.", - "summary": "List LLM Observability dataset versions" + "summary": "List Agent Observability dataset versions" }, "ListLLMObsExperimentEventsV2": { "description": "Retrieve spans and experiment-level summary metrics for a given experiment. Returns the full events payload without pagination. Deprecated: use `ListLLMObsExperimentEventsV3` instead.", - "summary": "List LLM Observability experiment events (v2)" + "summary": "List Agent Observability experiment events (v2)" }, "UploadLLMObsDatasetRecordsFile": { "description": "Upload records to a dataset from a file. The request is a `multipart/form-data` upload containing a single `file` part.\nCurrently only CSV is supported. The CSV must include an `input` column. Optional columns are `id`, `expected_output`, `metadata`, and `tags`.\n\nThe response is a Server-Sent Events stream (`text/event-stream`) emitting progress updates while records are processed. The stream emits the following named events:\n - `progress`: incremental record counts written so far.\n - `completed`: terminal event with a JSON body containing `records_created`.\n - `error`: terminal event with a JSON body containing an error `message`.", - "summary": "Upload records to an LLM Observability dataset", + "summary": "Upload records to an Agent Observability dataset", "request_description": "Multipart upload payload containing the records file.", "request_schema_description": "Multipart payload for uploading dataset records from a file." }, "ListLLMObsExperimentEvents": { "description": "Retrieve spans and experiment-level summary metrics for a given experiment with cursor-based pagination.", - "summary": "List events for an LLM Observability experiment" + "summary": "List events for an Agent Observability experiment" }, "UpdateLoginOrgConfigsMaxSessionDuration": { "description": "Update the maximum session duration for the current organization.\nThe duration is specified in seconds.", diff --git a/hugo/data/api/v2/translate_tags.json b/hugo/data/api/v2/translate_tags.json index 801c41babcd..084baeae893 100644 --- a/hugo/data/api/v2/translate_tags.json +++ b/hugo/data/api/v2/translate_tags.json @@ -269,7 +269,7 @@ }, "llm-observability": { "name": "LLM Observability", - "description": "Manage LLM Observability spans, data, projects, datasets, dataset records, experiments, prompts, and annotations." + "description": "Manage Agent Observability spans, data, projects, datasets, dataset records, experiments, prompts, and annotations." }, "logs": { "name": "Logs",