-Hit save, and that's it! Now every time a new message matches the filter, the trigger will be fired and the dataset will be populated with the new row.
+Hit save, and that's it! Now every time a new message matches the filter, the automation will be fired and the dataset will be populated with the new row.
diff --git a/datasets/dataset-images.mdx b/datasets/dataset-images.mdx
index 4b1d6b5..81ef91b 100644
--- a/datasets/dataset-images.mdx
+++ b/datasets/dataset-images.mdx
@@ -8,7 +8,7 @@ With the your images column type set to type set to `image (URL)`, you will be a
Below is an example of on how to set the column type to `image (URL)` in the screenshot below, you can also set this type when creating a new dataset.
-
+
diff --git a/llms-full.txt b/llms-full.txt
index ef0a734..b343200 100644
--- a/llms-full.txt
+++ b/llms-full.txt
@@ -63,10 +63,10 @@ Ready to start taking control of your LLM application quality? Quick start with
horizontal
/>
@@ -261,10 +261,10 @@ See what's happening inside your LLM applications. LangWatch tracks every intera
horizontal
/>
@@ -13999,7 +13999,7 @@ title: Automatically build datasets from real-time traces
description: Automatically build datasets from real-time traces to power LLM evaluations, regression tests, and AI agent testing workflows.
---
-You can keep continously populating the dataset with new data arriving from production by using **Triggers**, mapping trace fields to any dataset columns you prefer.
+You can keep continously populating the dataset with new data arriving from production by using **Automations**, mapping trace fields to any dataset columns you prefer.
Simply go to the Messages page and select a filter (for example, by model), the Add Trigger button will be enabled:
@@ -14089,7 +14089,7 @@ To add data by selecting a group, simply click the "Add to Dataset" button after
### Continuously
-You can keep continuously populating the dataset with new data arriving from production by using **Triggers**. See [Automatically building a dataset from traces](/datasets/automatically-from-traces) for more details.
+You can keep continuously populating the dataset with new data arriving from production by using **Automations**. See [Automatically building a dataset from traces](/datasets/automatically-from-traces) for more details.
### CSV Upload
@@ -16391,10 +16391,10 @@ See the full [Evaluators List](/evaluations/evaluators/list).
href="/evaluations/online-evaluation/setup-monitors"
/>
diff --git a/platform/rbac.mdx b/platform/rbac.mdx
index c358b26..2c269b2 100644
--- a/platform/rbac.mdx
+++ b/platform/rbac.mdx
@@ -40,7 +40,7 @@ Permissions are applied to the following resource types:
| `annotations` | Data annotations and labeling |
| `evaluations` | Creating and managing evaluations |
| `datasets` | Managing datasets |
-| `triggers` | Creating and managing triggers |
+| `automations` | Creating and managing automations |
| `workflows` | Creating and managing workflows |
| `prompts` | Creating and managing prompts |
@@ -61,7 +61,7 @@ Full administrative access to all team resources and settings.
| Annotations | `view`, `manage` |
| Evaluations | `view`, `manage` |
| Datasets | `view`, `manage` |
-| Triggers | `view`, `manage` |
+| Automations | `view`, `manage` |
| Workflows | `view`, `manage` |
| Prompts | `view`, `manage` |
| Scenarios | `view`, `manage` |
@@ -81,7 +81,7 @@ Read-only access to most resources for observation and reporting purposes.
| Annotations | `view` |
| Evaluations | `view` |
| Datasets | `view` |
-| Triggers | `view` |
+| Automations | `view` |
| Workflows | `view` |
| Prompts | `view` |
| Scenarios | `view` |