From d338fd8850eb3b9f3763424e9181ec80413e920f Mon Sep 17 00:00:00 2001 From: sallyom Date: Fri, 14 Nov 2025 11:59:57 -0500 Subject: [PATCH 1/5] Add OpenShift deployment and configuration for Langfuse MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - Add deploy-langfuse-openshift.sh script with ClickHouse resource fixes - Add Langfuse configuration manifests for ambient-code integration - README.md with complete setup instructions - Add Makefile target: deploy-langfuse-openshift - Update .gitignore to exclude Langfuse secrets 🤖 Generated with Claude Code Co-Authored-By: Claude Signed-off-by: sallyom --- .gitignore | 4 + Makefile | 6 +- e2e/langfuse/README.md | 199 +++++++++++++ e2e/langfuse/configmap.yaml | 8 + e2e/langfuse/secret-template.yaml | 9 + e2e/scripts/deploy-langfuse.sh | 476 ++++++++++++++++++++++++++++++ 6 files changed, 701 insertions(+), 1 deletion(-) create mode 100644 e2e/langfuse/README.md create mode 100644 e2e/langfuse/configmap.yaml create mode 100644 e2e/langfuse/secret-template.yaml create mode 100755 e2e/scripts/deploy-langfuse.sh diff --git a/.gitignore b/.gitignore index 617ebfe37..dd6ad4a30 100644 --- a/.gitignore +++ b/.gitignore @@ -124,3 +124,7 @@ e2e/.env.test e2e/node_modules/ e2e/cypress/screenshots/ e2e/cypress/videos/ + +# Langfuse secrets and deployment credentials +e2e/.env.langfuse +e2e/langfuse/.env.langfuse-keys diff --git a/Makefile b/Makefile index c11088ade..dd8db9375 100644 --- a/Makefile +++ b/Makefile @@ -1,4 +1,4 @@ -.PHONY: help setup-env build-all build-frontend build-backend build-operator build-runner deploy clean dev-frontend dev-backend lint test registry-login push-all dev-start dev-stop dev-test dev-logs-operator dev-restart-operator dev-operator-status dev-test-operator e2e-test e2e-setup e2e-clean +.PHONY: help setup-env build-all build-frontend build-backend build-operator build-runner deploy clean dev-frontend dev-backend lint test registry-login push-all dev-start dev-stop dev-test dev-logs-operator dev-restart-operator dev-operator-status dev-test-operator e2e-test e2e-setup e2e-clean deploy-langfuse-openshift # Default target help: ## Show this help message @@ -165,3 +165,7 @@ e2e-setup: ## Install e2e test dependencies e2e-clean: ## Clean up e2e test environment @echo "Cleaning up e2e environment..." cd e2e && CONTAINER_ENGINE=$(CONTAINER_ENGINE) ./scripts/cleanup.sh + +deploy-langfuse-openshift: ## Deploy Langfuse to OpenShift/ROSA cluster + @echo "Deploying Langfuse to OpenShift cluster..." + @cd e2e && ./scripts/deploy-langfuse-openshift.sh diff --git a/e2e/langfuse/README.md b/e2e/langfuse/README.md new file mode 100644 index 000000000..683a28d41 --- /dev/null +++ b/e2e/langfuse/README.md @@ -0,0 +1,199 @@ +# Observability with Langfuse + +## Overview + +**Unified Observability** means both Langfuse SDK spans AND OpenTelemetry spans are sent to Langfuse and appear in the same trace hierarchy: + +- **Langfuse SDK spans**: LLM-specific observability (prompts, responses, generations, tool executions with full I/O) +- **OpenTelemetry spans**: System-level distributed tracing (session lifecycle, performance metrics, costs) + +Both span types automatically nest together in Langfuse because **Langfuse SDK v3 is OpenTelemetry-native**. + +## Prerequisites + +1. **Langfuse deployed** on your cluster + - Run: `../scripts/deploy-langfuse.sh` + - Verify: `oc get pods -n langfuse` + +2. **Langfuse API keys** generated + - Access Langfuse UI: https://langfuse-langfuse.apps. + - Create organization and project + - Generate API keys: Settings → API Keys + +3. **OpenShift CLI** (`oc`) or **Kubernetes CLI** (`kubectl`) installed and logged in + +## Quick Start + +### Using WorkspaceSettings UI (Recommended) + +**All observability configuration is managed via the WorkspaceSettings UI.** + +1. **Access WorkspaceSettings** for your project: + - Navigate to your workspace + - Go to Settings tab + - Expand "Observability (Langfuse + OpenTelemetry)" section + +2. **Configure Langfuse** (pre-populated with defaults): + - `LANGFUSE_ENABLED`: `true` (already set) + - `LANGFUSE_HOST`: `http://langfuse-web.langfuse.svc.cluster.local:3000` (already set) + - `LANGFUSE_PUBLIC_KEY`: Add your `pk-lf-...` key + - `LANGFUSE_SECRET_KEY`: Add your `sk-lf-...` key + +3. **OpenTelemetry (Optional - Advanced Users Only)**: + - `OTEL_EXPORTER_OTLP_ENDPOINT`: **Leave empty** (traces auto-sent to Langfuse) + - `OTEL_SERVICE_NAME`: `claude-code-runner` (dynamically set to `claude-{session-id}`) + +4. **Save Integration Secrets** - All keys saved to `ambient-non-vertex-integrations` + +## How Unified Observability Works + +``` +┌─────────────────────────────────────────────────┐ +│ Runner Pod │ +├─────────────────────────────────────────────────┤ +│ Langfuse SDK v3 (OTEL-native) │ +│ ↓ creates │ +│ â€ĸ Session span (Langfuse API) │ +│ â€ĸ Tool spans (Read, Write, Bash...) │ +│ â€ĸ Generation spans (Claude responses) │ +│ │ +│ OpenTelemetry SDK │ +│ ↓ creates │ +│ â€ĸ Session span (system-level) │ +│ â€ĸ Tool decision events │ +│ â€ĸ Performance metrics │ +│ │ +│ Both span sources ──────────────────────────┐ │ +└──────────────────────────────────────────────â”ŧ─┘ + ↓ + Langfuse OTLP Endpoint + /api/public/otel/v1/traces + (HTTP/protobuf + Basic Auth) + ↓ + Langfuse Backend + ↓ + ┌─────────────────────────┐ + │ Unified Trace View │ + ├─────────────────────────┤ + │ claude_agent_session │ ← Main span + │ ├─ tool_Read │ ← Langfuse SDK + │ ├─ tool_Write │ ← Langfuse SDK + │ ├─ claude_response │ ← Langfuse SDK + │ └─ Performance data │ ← OTEL SDK + └─────────────────────────┘ +``` + +### Key Points + +1. **Auto-derivation**: If `OTEL_EXPORTER_OTLP_ENDPOINT` is empty, runner derives endpoint from `LANGFUSE_HOST` +2. **Basic Auth**: Runner automatically adds `Authorization: Basic {base64(public_key:secret_key)}` header +3. **Protocol**: HTTP/protobuf (gRPC not supported by Langfuse) +4. **Context propagation**: OpenTelemetry automatically nests spans within same trace + +## Trace Structure + +### Langfuse SDK Spans + +1. **Session Span** - Main span for entire Claude session + - Input: Original prompt + - Output: Final results with cost/token metrics + - Metadata: session ID, namespace + +2. **Tool Spans** - Child spans for each tool execution + - Input: Tool parameters (full detail) + - Output: Tool results (truncated to 500 chars) + - Metadata: tool name, ID, turn number + +3. **Generation Spans** - Claude's text responses + - Input: Turn number + - Output: Claude text (truncated to 1000 chars) + - Metadata: Model, turn number + +### OpenTelemetry Spans + +1. **Session Span** - System-level span matching session + - Attributes: session ID, namespace, prompt length + - Final attributes: cost, tokens, turns, duration, subtype + +2. **Tool Events** - Events on session span + - `claude_code.tool_decision`: tool name, tool ID + - `claude_code.tool_result`: tool use ID, error status + +## Viewing Traces + +1. Open Langfuse UI: https://langfuse-langfuse.apps. +2. Navigate to your project +3. View traces by session ID +4. Drill down to see: + - **Langfuse spans**: Full tool I/O, generation content + - **OTEL spans**: Performance metrics, costs, tokens + - All in one unified hierarchy! + +## Configuration Details + +All environment variables are stored in the `ambient-non-vertex-integrations` secret: + +### Required Keys + +```yaml +LANGFUSE_PUBLIC_KEY: "pk-lf-..." +LANGFUSE_SECRET_KEY: "sk-lf-..." +``` + +### Pre-configured (Optional to Override) + +```yaml +LANGFUSE_ENABLED: "true" +LANGFUSE_HOST: "http://langfuse-web.langfuse.svc.cluster.local:3000" +OTEL_SERVICE_NAME: "claude-code-runner" # Dynamically set to claude-{session-id} +``` + +### Advanced (Usually Empty) + +```yaml +OTEL_EXPORTER_OTLP_ENDPOINT: "" # Leave empty to use Langfuse +``` + +## Updating Configuration + +To update your observability settings: + +1. Go to WorkspaceSettings → Settings → Observability +2. Update Langfuse keys or other settings +3. Click "Save Integration Secrets" +4. New sessions use updated config immediately + +## Alternative Backends (Tempo/Grafana/Jaeger) + +**Important Limitation**: Langfuse SDK spans **cannot** be exported to Tempo/Grafana/Jaeger. The Langfuse SDK always sends traces to the Langfuse API endpoint, even though it's "OTEL-native". + +**What you CAN do** (advanced users only): +- Set `OTEL_EXPORTER_OTLP_ENDPOINT` to send **OpenTelemetry SDK spans** to Tempo/Jaeger/Grafana +- This creates **two separate trace systems**: + - Langfuse SDK spans → Langfuse UI (LLM-specific: tool I/O, generations, prompts) + - OTEL SDK spans → Tempo/Grafana (system metrics: duration, tokens, cost) +- Manual correlation required via session ID or timestamps + +**Recommendation**: Use unified Langfuse approach (default) for best experience. Only use separate backends if you have existing observability infrastructure that requires it. + +## Multi-Project Setup + +Each project namespace can have its own `ambient-non-vertex-integrations` secret with different Langfuse keys for per-project isolation and cost tracking. + +## Why Unified Observability? + +**Benefits over separate systems:** + +✅ **Single source of truth**: All traces in one place +✅ **Automatic correlation**: Spans auto-nest via OTEL context propagation +✅ **Simpler setup**: Only Langfuse keys needed +✅ **Better UX**: Langfuse UI designed for LLM observability +✅ **Cost efficiency**: No separate OTEL Collector infrastructure +✅ **Richer insights**: Combine LLM-specific + system-level observability + +## References + +- Langfuse Documentation: https://langfuse.com/docs +- Langfuse OTLP Integration: https://langfuse.com/integrations/native/opentelemetry +- Langfuse Python SDK v3: https://langfuse.com/changelog/2025-05-23-otel-based-python-sdk +- Ambient Code Observability: See `components/runners/claude-code-runner/wrapper.py` diff --git a/e2e/langfuse/configmap.yaml b/e2e/langfuse/configmap.yaml new file mode 100644 index 000000000..86859ce97 --- /dev/null +++ b/e2e/langfuse/configmap.yaml @@ -0,0 +1,8 @@ +apiVersion: v1 +kind: ConfigMap +metadata: + name: langfuse-config + namespace: ambient-code +data: + LANGFUSE_HOST: "http://langfuse-web.langfuse.svc.cluster.local:3000" + LANGFUSE_ENABLED: "true" diff --git a/e2e/langfuse/secret-template.yaml b/e2e/langfuse/secret-template.yaml new file mode 100644 index 000000000..c0d3bb674 --- /dev/null +++ b/e2e/langfuse/secret-template.yaml @@ -0,0 +1,9 @@ +apiVersion: v1 +kind: Secret +metadata: + name: langfuse-keys + namespace: ambient-code +type: Opaque +stringData: + LANGFUSE_PUBLIC_KEY: "${LANGFUSE_PUBLIC_KEY}" + LANGFUSE_SECRET_KEY: "${LANGFUSE_SECRET_KEY}" diff --git a/e2e/scripts/deploy-langfuse.sh b/e2e/scripts/deploy-langfuse.sh new file mode 100755 index 000000000..5ab23f261 --- /dev/null +++ b/e2e/scripts/deploy-langfuse.sh @@ -0,0 +1,476 @@ +#!/bin/bash +set -euo pipefail + +# Parse command line arguments +PLATFORM="auto" +while [[ $# -gt 0 ]]; do + case $1 in + --openshift) + PLATFORM="openshift" + shift + ;; + --kubernetes|--k8s) + PLATFORM="kubernetes" + shift + ;; + --help|-h) + echo "Usage: $0 [--openshift|--kubernetes]" + echo "" + echo "Options:" + echo " --openshift Force OpenShift mode (use oc, create Route)" + echo " --kubernetes Force Kubernetes mode (use kubectl, create Ingress)" + echo " (default) Auto-detect based on available CLI and cluster type" + echo "" + exit 0 + ;; + *) + echo "Unknown option: $1" + echo "Use --help for usage information" + exit 1 + ;; + esac +done + +echo "======================================" +echo "Deploying Langfuse to Kubernetes" +echo "======================================" +echo "" + +# Detect platform if auto mode +if [ "$PLATFORM" = "auto" ]; then + echo "Auto-detecting platform..." + + # Check if oc is available and we're on OpenShift + if command -v oc &> /dev/null; then + if oc api-resources --api-group=route.openshift.io &>/dev/null 2>&1; then + PLATFORM="openshift" + echo " ✓ Detected OpenShift cluster" + else + PLATFORM="kubernetes" + echo " ✓ Detected Kubernetes cluster (oc CLI available)" + fi + elif command -v kubectl &> /dev/null; then + PLATFORM="kubernetes" + echo " ✓ Detected Kubernetes cluster" + else + echo "❌ Neither kubectl nor oc found. Please install Kubernetes CLI." + exit 1 + fi + echo "" +fi + +# Set CLI tool based on platform +if [ "$PLATFORM" = "openshift" ]; then + CLI="oc" + PLATFORM_NAME="OpenShift" +else + CLI="kubectl" + PLATFORM_NAME="Kubernetes" +fi + +echo "Platform: $PLATFORM_NAME" +echo "CLI: $CLI" +echo "" + +# Check prerequisites +if ! command -v helm &> /dev/null; then + echo "❌ Helm not found. Please install Helm 3.x first." + echo " Visit: https://helm.sh/docs/intro/install/" + exit 1 +fi + +if ! command -v $CLI &> /dev/null; then + echo "❌ $CLI not found. Please install $PLATFORM_NAME CLI first." + if [ "$PLATFORM" = "openshift" ]; then + echo " Visit: https://docs.openshift.com/container-platform/latest/cli_reference/openshift_cli/getting-started-cli.html" + else + echo " Visit: https://kubernetes.io/docs/tasks/tools/" + fi + exit 1 +fi + +# Check cluster connection +if ! $CLI cluster-info &>/dev/null; then + echo "❌ Not connected to $PLATFORM_NAME cluster" + if [ "$PLATFORM" = "openshift" ]; then + echo " Please run: $CLI login " + else + echo " Please configure kubectl: kubectl config use-context " + fi + exit 1 +fi + +CLUSTER_USER=$($CLI config view --minify -o jsonpath='{.contexts[0].context.user}' 2>/dev/null || echo "unknown") +CLUSTER_URL=$($CLI config view --minify -o jsonpath='{.clusters[0].cluster.server}') +echo "Connected to $PLATFORM_NAME:" +echo " User: $CLUSTER_USER" +echo " Cluster: $CLUSTER_URL" +echo "" + +# Prompt for credentials or use defaults for testing +read -p "Use simple test passwords? (y/n, default: y): " USE_TEST_CREDS +USE_TEST_CREDS=${USE_TEST_CREDS:-y} + +if [[ "$USE_TEST_CREDS" =~ ^[Yy]$ ]]; then + echo "Setting simple passwords for test environment..." + NEXTAUTH_SECRET="test-nextauth-secret-12345678" + SALT="test-salt-12345678" + POSTGRES_PASSWORD="postgres123" + CLICKHOUSE_PASSWORD="clickhouse123" + REDIS_PASSWORD="redis123" + echo " ✓ Test credentials configured" +else + echo "Generating secure random credentials..." + NEXTAUTH_SECRET=$(openssl rand -hex 32) + SALT=$(openssl rand -hex 32) + POSTGRES_PASSWORD=$(openssl rand -base64 32) + CLICKHOUSE_PASSWORD=$(openssl rand -base64 32) + REDIS_PASSWORD=$(openssl rand -base64 32) + echo " ✓ Secure credentials generated" +fi + +# Add Langfuse Helm repository +echo "" +echo "Adding Langfuse Helm repository..." +helm repo add langfuse https://langfuse.github.io/langfuse-k8s &>/dev/null || true +helm repo update &>/dev/null +echo " ✓ Helm repository updated" + +# Create namespace +echo "" +echo "Creating namespace 'langfuse'..." +if $CLI get namespace langfuse &>/dev/null; then + echo " ℹī¸ Namespace 'langfuse' already exists" +else + $CLI create namespace langfuse + echo " ✓ Namespace created" +fi + +# Install or upgrade Langfuse +echo "" +echo "Installing Langfuse with Helm..." +echo " (This may take 5-10 minutes...)" +helm upgrade --install langfuse langfuse/langfuse \ + --namespace langfuse \ + --set langfuse.nextauth.secret.value="$NEXTAUTH_SECRET" \ + --set langfuse.salt.value="$SALT" \ + --set postgresql.auth.password="$POSTGRES_PASSWORD" \ + --set clickhouse.auth.password="$CLICKHOUSE_PASSWORD" \ + --set redis.auth.password="$REDIS_PASSWORD" \ + --set langfuse.ingress.enabled=false \ + --set resources.limits.cpu=1000m \ + --set resources.limits.memory=2Gi \ + --set resources.requests.cpu=500m \ + --set resources.requests.memory=1Gi \ + --set clickhouse.replicaCount=1 \ + --set clickhouse.podAntiAffinityPreset=none \ + --set clickhouse.resources.requests.memory=1Gi \ + --set clickhouse.resources.limits.memory=2Gi \ + --set clickhouse.resources.requests.cpu=500m \ + --set clickhouse.resources.limits.cpu=1 \ + --set postgresql.primary.podAntiAffinityPreset=none \ + --set redis.master.podAntiAffinityPreset=none \ + --set zookeeper.replicas=1 \ + --set zookeeper.podAntiAffinityPreset=none \ + --set zookeeper.resources.requests.memory=256Mi \ + --set zookeeper.resources.limits.memory=512Mi \ + --set zookeeper.resources.requests.cpu=250m \ + --set zookeeper.resources.limits.cpu=500m \ + --set minio.enabled=true \ + --wait \ + --timeout=10m + +echo " ✓ Langfuse installed" + +# Wait for all pods to be ready +echo "" +echo "âŗ Waiting for Langfuse pods to be ready..." + +# Wait for deployments +for deployment in langfuse-web langfuse-worker; do + if $CLI get deployment $deployment -n langfuse &>/dev/null; then + $CLI wait --namespace langfuse \ + --for=condition=available \ + --timeout=300s \ + deployment/$deployment &>/dev/null || true + fi +done + +# Wait for StatefulSets +for statefulset in langfuse-postgresql langfuse-clickhouse-shard0 langfuse-redis-primary; do + if $CLI get statefulset $statefulset -n langfuse &>/dev/null; then + $CLI wait --namespace langfuse \ + --for=jsonpath='{.status.readyReplicas}'=1 \ + --timeout=300s \ + statefulset/$statefulset &>/dev/null || true + fi +done + +# Wait for zookeeper (may have multiple replicas) +if $CLI get statefulset langfuse-zookeeper -n langfuse &>/dev/null; then + ZOOKEEPER_REPLICAS=$($CLI get statefulset langfuse-zookeeper -n langfuse -o jsonpath='{.spec.replicas}') + $CLI wait --namespace langfuse \ + --for=jsonpath="{.status.readyReplicas}"=$ZOOKEEPER_REPLICAS \ + --timeout=300s \ + statefulset/langfuse-zookeeper &>/dev/null || true +fi + +echo " ✓ All pods ready" + +# Fix S3 credentials for langfuse-web and langfuse-worker +echo "" +echo "Applying S3 credential fix..." + +# Create JSON patch for S3 credentials +cat > /tmp/langfuse-s3-patch.json <<'EOF' +[ + { + "op": "add", + "path": "/spec/template/spec/containers/0/env/-", + "value": { + "name": "LANGFUSE_S3_EVENT_UPLOAD_ACCESS_KEY_ID", + "valueFrom": { + "secretKeyRef": { + "name": "langfuse-s3", + "key": "root-user" + } + } + } + }, + { + "op": "add", + "path": "/spec/template/spec/containers/0/env/-", + "value": { + "name": "LANGFUSE_S3_EVENT_UPLOAD_SECRET_ACCESS_KEY", + "valueFrom": { + "secretKeyRef": { + "name": "langfuse-s3", + "key": "root-password" + } + } + } + }, + { + "op": "add", + "path": "/spec/template/spec/containers/0/env/-", + "value": { + "name": "LANGFUSE_S3_BATCH_EXPORT_ACCESS_KEY_ID", + "valueFrom": { + "secretKeyRef": { + "name": "langfuse-s3", + "key": "root-user" + } + } + } + }, + { + "op": "add", + "path": "/spec/template/spec/containers/0/env/-", + "value": { + "name": "LANGFUSE_S3_BATCH_EXPORT_SECRET_ACCESS_KEY", + "valueFrom": { + "secretKeyRef": { + "name": "langfuse-s3", + "key": "root-password" + } + } + } + }, + { + "op": "add", + "path": "/spec/template/spec/containers/0/env/-", + "value": { + "name": "LANGFUSE_S3_MEDIA_UPLOAD_ACCESS_KEY_ID", + "valueFrom": { + "secretKeyRef": { + "name": "langfuse-s3", + "key": "root-user" + } + } + } + }, + { + "op": "add", + "path": "/spec/template/spec/containers/0/env/-", + "value": { + "name": "LANGFUSE_S3_MEDIA_UPLOAD_SECRET_ACCESS_KEY", + "valueFrom": { + "secretKeyRef": { + "name": "langfuse-s3", + "key": "root-password" + } + } + } + } +] +EOF + +# Apply patch to langfuse-web deployment +echo " Patching langfuse-web deployment..." +$CLI patch deployment langfuse-web -n langfuse \ + --type='json' \ + -p="$(cat /tmp/langfuse-s3-patch.json)" &>/dev/null + +# Apply patch to langfuse-worker deployment +echo " Patching langfuse-worker deployment..." +$CLI patch deployment langfuse-worker -n langfuse \ + --type='json' \ + -p="$(cat /tmp/langfuse-s3-patch.json)" &>/dev/null + +# Wait for rollouts to complete +echo " Waiting for deployments to rollout..." +$CLI rollout status deployment/langfuse-web -n langfuse --timeout=120s &>/dev/null +$CLI rollout status deployment/langfuse-worker -n langfuse --timeout=120s &>/dev/null + +# Cleanup temp file +rm -f /tmp/langfuse-s3-patch.json + +echo " ✓ S3 credentials configured" + +# Create Ingress or Route based on platform +echo "" +if [ "$PLATFORM" = "openshift" ]; then + echo "Creating OpenShift Route..." + if $CLI get route langfuse -n langfuse &>/dev/null; then + echo " ℹī¸ Route already exists" + else + $CLI create route edge langfuse \ + --service=langfuse-web \ + --port=3000 \ + --namespace=langfuse &>/dev/null + echo " ✓ Route created" + fi + + # Get the Route URL + ROUTE_HOST=$($CLI get route langfuse -n langfuse -o jsonpath='{.spec.host}') + LANGFUSE_URL="https://${ROUTE_HOST}" +else + echo "Creating Kubernetes Ingress..." + + # Check if Ingress controller is available + if ! $CLI get ingressclass &>/dev/null 2>&1; then + echo " ⚠ī¸ Warning: No Ingress controller detected" + echo " You may need to install an Ingress controller (nginx, traefik, etc.)" + echo " See: https://kubernetes.io/docs/concepts/services-networking/ingress-controllers/" + fi + + # Create Ingress if it doesn't exist + if $CLI get ingress langfuse -n langfuse &>/dev/null; then + echo " ℹī¸ Ingress already exists" + else + cat </dev/null +apiVersion: networking.k8s.io/v1 +kind: Ingress +metadata: + name: langfuse + namespace: langfuse + annotations: + nginx.ingress.kubernetes.io/ssl-redirect: "true" +spec: + ingressClassName: nginx + rules: + - host: langfuse.local + http: + paths: + - path: / + pathType: Prefix + backend: + service: + name: langfuse-web + port: + number: 3000 + tls: + - hosts: + - langfuse.local + secretName: langfuse-tls +EOF + echo " ✓ Ingress created" + fi + + # Try to get Ingress host + INGRESS_HOST=$($CLI get ingress langfuse -n langfuse -o jsonpath='{.spec.rules[0].host}' 2>/dev/null || echo "langfuse.local") + LANGFUSE_URL="https://${INGRESS_HOST}" + + echo "" + echo " ⚠ī¸ Note: For local access, add to /etc/hosts:" + echo " 127.0.0.1 $INGRESS_HOST" + echo " Or configure DNS to point $INGRESS_HOST to your Ingress controller" +fi + +# Save credentials +echo "" +echo "Saving credentials to langfuse-credentials.env..." +cat > langfuse-credentials.env <" +echo " LANGFUSE_SECRET_KEY=" +echo " LANGFUSE_HOST=$LANGFUSE_URL" +echo "" +echo "Cleanup (WARNING: This deletes all Langfuse data):" +echo " $CLI delete namespace langfuse" +echo "" From fcb8ed7d55320db6ea027c0e539a84fe565a5db8 Mon Sep 17 00:00:00 2001 From: sallyom Date: Wed, 19 Nov 2025 14:17:05 -0500 Subject: [PATCH 2/5] Pin runner dependencies to working versions MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Root cause: Recent package auto-upgrades broke SDK initialization. Fixes applied: 1. npm @anthropic-ai/claude-code: 2.0.46 → 2.0.41 (CRITICAL FIX!) - Version 2.0.46 (released Nov 19) breaks SDK subprocess initialization - Reverts to last working version from Nov 14 upstream build 2. anthropic[vertex]: >=0.68.0 → ==0.73.0 - Pin to tested version for stability - 0.74.0+ untested with Vertex AI 3. claude-agent-sdk: >=0.1.4 → ==0.1.6 - Pin to tested version for stability - 0.1.7+ untested Evidence: - Working upstream image (quay.io/ambient_code/vteam_claude_runner:latest) had npm CLI 2.0.41, anthropic 0.73.0, claude-agent-sdk 0.1.6 - Recent builds auto-installed 2.0.46 → broke initialization - Python packages were already correct (red herring during investigation) The npm pin is the critical fix. Python pins add build stability. Co-Authored-By: Claude Signed-off-by: sallyom --- .../runners/claude-code-runner/Dockerfile | 2 +- .../runners/claude-code-runner/pyproject.toml | 4 +- components/runners/claude-code-runner/uv.lock | 1489 +++++++++-------- 3 files changed, 818 insertions(+), 677 deletions(-) diff --git a/components/runners/claude-code-runner/Dockerfile b/components/runners/claude-code-runner/Dockerfile index 218d14124..79c41406d 100644 --- a/components/runners/claude-code-runner/Dockerfile +++ b/components/runners/claude-code-runner/Dockerfile @@ -7,7 +7,7 @@ RUN apt-get update && apt-get install -y \ ca-certificates \ && curl -fsSL https://deb.nodesource.com/setup_20.x | bash - \ && apt-get install -y nodejs \ - && npm install -g @anthropic-ai/claude-code \ + && npm install -g @anthropic-ai/claude-code@2.0.41 \ && rm -rf /var/lib/apt/lists/* # Create working directory diff --git a/components/runners/claude-code-runner/pyproject.toml b/components/runners/claude-code-runner/pyproject.toml index 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+++++++++++++++ .../runners/claude-code-runner/pyproject.toml | 7 + .../claude-code-runner/security_utils.py | 155 ++++++ .../claude-code-runner/tests/README.md | 169 ++++++ .../tests/test_observability.py | 507 +++++++++++++++++ .../tests/test_security_utils.py | 306 +++++++++++ components/runners/claude-code-runner/uv.lock | 508 ++++++++++++++++++ .../runners/claude-code-runner/wrapper.py | 74 ++- e2e/langfuse/README.md | 257 +++++---- e2e/langfuse/configmap.yaml | 8 - e2e/langfuse/secret-template.yaml | 9 - 17 files changed, 2511 insertions(+), 139 deletions(-) create mode 100644 .github/workflows/runner-tests.yml create mode 100644 components/manifests/base/ambient-admin-langfuse-secret.yaml.example create mode 100644 components/runners/claude-code-runner/observability.py create mode 100644 components/runners/claude-code-runner/security_utils.py create mode 100644 components/runners/claude-code-runner/tests/README.md create mode 100644 components/runners/claude-code-runner/tests/test_observability.py create mode 100644 components/runners/claude-code-runner/tests/test_security_utils.py delete mode 100644 e2e/langfuse/configmap.yaml delete mode 100644 e2e/langfuse/secret-template.yaml diff --git a/.github/workflows/runner-tests.yml b/.github/workflows/runner-tests.yml new file mode 100644 index 000000000..43785defc --- /dev/null +++ b/.github/workflows/runner-tests.yml @@ -0,0 +1,53 @@ +name: Claude Code Runner Tests + +on: + pull_request: + paths: + - 'components/runners/claude-code-runner/**' + - '.github/workflows/runner-tests.yml' + push: + branches: [main] + paths: + - 'components/runners/claude-code-runner/**' + - '.github/workflows/runner-tests.yml' + +jobs: + test: + runs-on: ubuntu-latest + defaults: + run: + working-directory: components/runners/claude-code-runner + + steps: + - name: Checkout code + uses: actions/checkout@v5 + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: '3.11' + cache: 'pip' + + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install -e . + pip install pytest pytest-asyncio pytest-cov + + - name: Run unit tests for observability and security_utils + run: | + # Only run standalone unit tests that don't require runner_shell runtime + # (test_model_mapping.py and test_wrapper_vertex.py require full runtime environment) + pytest tests/test_observability.py tests/test_security_utils.py -v --tb=short --color=yes + + - name: Run tests with coverage + run: | + pytest tests/test_observability.py tests/test_security_utils.py --cov=observability --cov=security_utils --cov-report=term-missing --cov-report=xml + + - name: Upload coverage to Codecov + uses: codecov/codecov-action@v4 + with: + files: ./components/runners/claude-code-runner/coverage.xml + flags: runner + name: claude-code-runner + fail_ci_if_error: false diff --git a/components/backend/handlers/middleware.go b/components/backend/handlers/middleware.go index 501d41f86..5c948ab8f 100644 --- a/components/backend/handlers/middleware.go +++ b/components/backend/handlers/middleware.go @@ -5,6 +5,7 @@ import ( "encoding/json" "log" "net/http" + "regexp" "strings" "time" @@ -30,6 +31,25 @@ var ( StringPtr = func(s string) *string { return &s } ) +// Kubernetes DNS-1123 label validation (namespace, service account names) +// Must be lowercase alphanumeric or '-', max 63 chars, start/end with alphanumeric +// Regex allows single char (e.g., "a") or multi-char with optional middle section +var kubernetesNameRegex = regexp.MustCompile(`^[a-z0-9]([-a-z0-9]*[a-z0-9])?$`) + +// isValidKubernetesName validates that a string is a valid Kubernetes DNS-1123 label +// Returns false if: +// - name is empty (prevents empty string injection) +// - name exceeds 63 characters +// - name contains invalid characters (not lowercase alphanumeric or '-') +// - name starts or ends with '-' (enforced by regex) +func isValidKubernetesName(name string) bool { + // Explicit length check: reject empty strings and names > 63 chars + if len(name) == 0 || len(name) > 63 { + return false + } + return kubernetesNameRegex.MatchString(name) +} + // ContentListItem represents a content list item for file browsing type ContentListItem struct { Name string `json:"name"` @@ -252,6 +272,17 @@ func ValidateProjectContext() gin.HandlerFunc { return } + // Validate namespace name to prevent injection attacks + // Kubernetes namespace names must be valid DNS-1123 labels: + // - lowercase alphanumeric plus '-' + // - max 63 characters + // - start and end with alphanumeric + if !isValidKubernetesName(projectHeader) { + c.JSON(http.StatusBadRequest, gin.H{"error": "Invalid project name format"}) + c.Abort() + return + } + // Ensure the caller has at least list permission on agenticsessions in the namespace ssar := &authv1.SelfSubjectAccessReview{ Spec: authv1.SelfSubjectAccessReviewSpec{ diff --git a/components/manifests/base/ambient-admin-langfuse-secret.yaml.example b/components/manifests/base/ambient-admin-langfuse-secret.yaml.example new file mode 100644 index 000000000..23efd5389 --- /dev/null +++ b/components/manifests/base/ambient-admin-langfuse-secret.yaml.example @@ -0,0 +1,45 @@ +# Example: Platform Admin Langfuse Secret +# +# This secret stores ALL Langfuse observability configuration for the platform. +# All LANGFUSE_* environment variables are configured here in one place. +# +# IMPORTANT: +# - This is a PLATFORM-ADMIN managed secret, not configured per-workspace +# - Should be created in the same namespace as the operator (typically 'ambient-code') +# - Contains both credentials (PUBLIC_KEY, SECRET_KEY) and configuration (HOST, ENABLED) +# +# How to create this secret: +# +# Option 1: Using kubectl (recommended for production): +# kubectl create secret generic ambient-admin-langfuse-secret \ +# --from-literal=LANGFUSE_PUBLIC_KEY=pk-lf-YOUR-PUBLIC-KEY-HERE \ +# --from-literal=LANGFUSE_SECRET_KEY=sk-lf-YOUR-SECRET-KEY-HERE \ +# --from-literal=LANGFUSE_HOST=http://langfuse-web.langfuse.svc.cluster.local:3000 \ +# --from-literal=LANGFUSE_ENABLED=true \ +# -n ambient-code +# +# Option 2: Using this YAML file (less secure - keys visible in manifest): +# 1. Copy this file: cp ambient-admin-langfuse-secret.yaml.example ambient-admin-langfuse-secret.yaml +# 2. Replace placeholder values with your actual configuration +# 3. Apply: kubectl apply -f ambient-admin-langfuse-secret.yaml +# 4. Delete the file: rm ambient-admin-langfuse-secret.yaml # Don't commit secrets! + +apiVersion: v1 +kind: Secret +metadata: + name: ambient-admin-langfuse-secret + labels: + app: agentic-operator + ambient-code.io/component: observability +type: Opaque +stringData: + # Get these keys from your Langfuse instance: + # https://your-langfuse-host.com/settings (Project Settings -> API Keys) + LANGFUSE_PUBLIC_KEY: "pk-lf-YOUR-PUBLIC-KEY-HERE" + LANGFUSE_SECRET_KEY: "sk-lf-YOUR-SECRET-KEY-HERE" + + # Langfuse instance URL (cluster-internal or external) + LANGFUSE_HOST: "http://langfuse-web.langfuse.svc.cluster.local:3000" + + # Enable Langfuse observability for all sessions + LANGFUSE_ENABLED: "true" diff --git a/components/manifests/base/operator-deployment.yaml b/components/manifests/base/operator-deployment.yaml index 7a420b856..fa3326676 100644 --- a/components/manifests/base/operator-deployment.yaml +++ b/components/manifests/base/operator-deployment.yaml @@ -57,6 +57,32 @@ spec: configMapKeyRef: name: operator-config key: GOOGLE_APPLICATION_CREDENTIALS + # Platform-wide Langfuse observability configuration + # All LANGFUSE_* config stored in ambient-admin-langfuse-secret (platform-admin managed) + - name: LANGFUSE_ENABLED + valueFrom: + secretKeyRef: + name: ambient-admin-langfuse-secret + key: LANGFUSE_ENABLED + optional: true # Optional: defaults to false if secret doesn't exist + - name: LANGFUSE_HOST + valueFrom: + secretKeyRef: + name: ambient-admin-langfuse-secret + key: LANGFUSE_HOST + optional: true # Optional: only needed if Langfuse enabled + - name: LANGFUSE_PUBLIC_KEY + valueFrom: + secretKeyRef: + name: ambient-admin-langfuse-secret + key: LANGFUSE_PUBLIC_KEY + optional: true # Optional: only needed if Langfuse enabled + - name: LANGFUSE_SECRET_KEY + valueFrom: + secretKeyRef: + name: ambient-admin-langfuse-secret + key: LANGFUSE_SECRET_KEY + optional: true # Optional: only needed if Langfuse enabled resources: requests: cpu: 50m diff --git a/components/operator/internal/handlers/sessions.go b/components/operator/internal/handlers/sessions.go index 7e9ffdc1e..d57f1edf8 100644 --- a/components/operator/internal/handlers/sessions.go +++ b/components/operator/internal/handlers/sessions.go @@ -313,9 +313,9 @@ func handleAgenticSessionEvent(obj *unstructured.Unstructured) error { // Hardcoded secret names (convention over configuration) const runnerSecretsName = "ambient-runner-secrets" // ANTHROPIC_API_KEY only (ignored when Vertex enabled) - const integrationSecretsName = "ambient-non-vertex-integrations" // GIT_*, JIRA_*, custom keys (optional) + const integrationSecretsName = "ambient-non-vertex-integrations" // GIT_*, JIRA_*, custom keys (optional, NO Langfuse keys) - // Check if integration secrets exist (optional) + // Check if integration secrets exist (user-provided integrations like GIT_TOKEN, JIRA_*) integrationSecretsExist := false if _, err := config.K8sClient.CoreV1().Secrets(sessionNamespace).Get(context.TODO(), integrationSecretsName, v1.GetOptions{}); err == nil { integrationSecretsExist = true @@ -347,6 +347,19 @@ func handleAgenticSessionEvent(obj *unstructured.Unstructured) error { // Read autoPushOnComplete flag autoPushOnComplete, _, _ := unstructured.NestedBool(spec, "autoPushOnComplete") + // Extract userContext for observability and auditing + userID := "" + userName := "" + if userContext, found, _ := unstructured.NestedMap(spec, "userContext"); found { + if v, ok := userContext["userId"].(string); ok { + userID = strings.TrimSpace(v) + } + if v, ok := userContext["displayName"].(string); ok { + userName = strings.TrimSpace(v) + } + } + log.Printf("Session %s initiated by user: %s (userId: %s)", name, userName, userID) + // Create the Job job := &batchv1.Job{ ObjectMeta: v1.ObjectMeta{ @@ -482,6 +495,30 @@ func handleAgenticSessionEvent(obj *unstructured.Unstructured) error { // S3 disabled; backend persists messages } + // Add user context for observability and auditing (Langfuse userId, logs, etc.) + if userID != "" { + base = append(base, corev1.EnvVar{Name: "USER_ID", Value: userID}) + } + if userName != "" { + base = append(base, corev1.EnvVar{Name: "USER_NAME", Value: userName}) + } + + // Platform-wide Langfuse observability configuration (injected from operator env) + // Uses explicit env vars instead of EnvFrom to prevent automatic exposure of future secret keys + // All LANGFUSE_* vars come from ambient-admin-langfuse-secret Secret (platform-admin managed) + if os.Getenv("LANGFUSE_ENABLED") != "" { + base = append(base, corev1.EnvVar{Name: "LANGFUSE_ENABLED", Value: os.Getenv("LANGFUSE_ENABLED")}) + } + if os.Getenv("LANGFUSE_HOST") != "" { + base = append(base, corev1.EnvVar{Name: "LANGFUSE_HOST", Value: os.Getenv("LANGFUSE_HOST")}) + } + if os.Getenv("LANGFUSE_PUBLIC_KEY") != "" { + base = append(base, corev1.EnvVar{Name: "LANGFUSE_PUBLIC_KEY", Value: os.Getenv("LANGFUSE_PUBLIC_KEY")}) + } + if os.Getenv("LANGFUSE_SECRET_KEY") != "" { + base = append(base, corev1.EnvVar{Name: "LANGFUSE_SECRET_KEY", Value: os.Getenv("LANGFUSE_SECRET_KEY")}) + } + // Add Vertex AI configuration only if enabled if vertexEnabled { base = append(base, @@ -586,8 +623,9 @@ func handleAgenticSessionEvent(obj *unstructured.Unstructured) error { }(), // Import secrets as environment variables - // - integrationSecretsName: Only if exists (GIT_TOKEN, JIRA_*, custom keys) + // - integrationSecretsName: Only if exists (GIT_TOKEN, JIRA_*, custom keys - NO Langfuse keys) // - runnerSecretsName: Only when Vertex disabled (ANTHROPIC_API_KEY) + // - ambient-langfuse-keys: Platform-wide Langfuse observability (LANGFUSE_PUBLIC_KEY, LANGFUSE_SECRET_KEY, LANGFUSE_HOST, LANGFUSE_ENABLED) EnvFrom: func() []corev1.EnvFromSource { sources := []corev1.EnvFromSource{} @@ -615,6 +653,10 @@ func handleAgenticSessionEvent(obj *unstructured.Unstructured) error { log.Printf("Skipping runner secrets '%s' for session %s (Vertex enabled)", runnerSecretsName, name) } + // Note: Platform-wide Langfuse observability keys are injected via explicit Env entries above + // (LANGFUSE_* env vars from ambient-admin-langfuse-secret Secret, platform-admin managed) + // EnvFrom is intentionally NOT used here to prevent automatic exposure of future secret keys + return sources }(), diff --git a/components/runners/claude-code-runner/Dockerfile b/components/runners/claude-code-runner/Dockerfile index 79c41406d..25f6c15be 100644 --- a/components/runners/claude-code-runner/Dockerfile +++ b/components/runners/claude-code-runner/Dockerfile @@ -21,7 +21,7 @@ RUN cd /app/runner-shell && pip install --no-cache-dir . COPY claude-code-runner /app/claude-runner # Install runner wrapper as a package (pulls dependencies like claude-agent-sdk) -RUN pip install --no-cache-dir /app/claude-runner \ +RUN pip install --no-cache-dir /app/claude-runner[observability] \ && pip install --no-cache-dir aiofiles # Set environment variables diff --git a/components/runners/claude-code-runner/observability.py b/components/runners/claude-code-runner/observability.py new file mode 100644 index 000000000..38fc44f10 --- /dev/null +++ b/components/runners/claude-code-runner/observability.py @@ -0,0 +1,445 @@ +""" +Observability manager for Claude Code runner. + +Provides Langfuse LLM observability for Claude sessions, +including security features (secret sanitization, timeouts). +""" + +import os +import logging +from typing import Any +from urllib.parse import urlparse + +from security_utils import sanitize_exception_message, with_sync_timeout + +# Langfuse will be imported lazily only when enabled +# This prevents any potential conflicts with other SDKs (like claude_agent_sdk) +# when Langfuse is not needed + + +class ObservabilityManager: + """Manages Langfuse observability for Claude sessions. + + Handles initialization, event tracking, and cleanup for Langfuse with + security features (secret sanitization, timeouts). + """ + + def __init__(self, session_id: str, user_id: str, user_name: str): + """Initialize observability manager. + + Args: + session_id: Unique session identifier + user_id: Sanitized user ID (for user tracking in traces) + user_name: Sanitized user name (for user tracking in traces) + """ + self.session_id = session_id + self.user_id = user_id + self.user_name = user_name + + # Langfuse state + self.langfuse_client = None + self.langfuse_span = None + self._langfuse_tool_spans: dict[str, Any] = {} + + async def initialize(self, prompt: str, namespace: str) -> bool: + """Initialize Langfuse observability. + + Args: + prompt: Initial prompt for the session + namespace: Kubernetes namespace for the session + + Returns: + True if Langfuse initialized successfully + """ + return await self._init_langfuse(prompt, namespace) + + async def _init_langfuse(self, prompt: str, namespace: str) -> bool: + """Initialize Langfuse observability with security checks. + + Args: + prompt: Initial prompt for the session + namespace: Kubernetes namespace for the session + + Returns: + True if Langfuse initialized successfully + """ + langfuse_enabled = os.getenv("LANGFUSE_ENABLED", "").strip().lower() in ( + "1", + "true", + "yes", + ) + if not langfuse_enabled: + return False + + # Import langfuse only when it's actually needed + # This prevents potential conflicts with other SDKs when disabled + try: + from langfuse import Langfuse + except ImportError: + logging.debug("Langfuse not available - continuing without LLM observability") + return False + + # Check if required Langfuse keys are present + public_key = os.getenv("LANGFUSE_PUBLIC_KEY", "").strip() + secret_key = os.getenv("LANGFUSE_SECRET_KEY", "").strip() + host = os.getenv("LANGFUSE_HOST", "").strip() + + if not public_key or not secret_key: + logging.warning( + "LANGFUSE_ENABLED is true but LANGFUSE_PUBLIC_KEY or LANGFUSE_SECRET_KEY is missing. " + "Langfuse observability will be disabled for this session. " + "To enable Langfuse, platform admin must create the 'ambient-admin-langfuse-secret' secret " + "in the operator's namespace with all LANGFUSE_* keys: " + "LANGFUSE_PUBLIC_KEY, LANGFUSE_SECRET_KEY, LANGFUSE_HOST, LANGFUSE_ENABLED. " + "See e2e/langfuse/README.md for setup instructions." + ) + return False + + if not host: + logging.warning( + "LANGFUSE_HOST is missing. Langfuse observability will be disabled for this session. " + "Add LANGFUSE_HOST to the 'ambient-admin-langfuse-secret' secret " + "(e.g., LANGFUSE_HOST=http://langfuse-web.langfuse.svc.cluster.local:3000)." + ) + return False + + # Validate LANGFUSE_HOST format to prevent malformed URLs + try: + parsed = urlparse(host) + # URL must have a scheme (http/https) and a valid network location (hostname) + if not parsed.scheme or not parsed.netloc: + logging.warning( + f"LANGFUSE_HOST has invalid format (missing scheme or hostname): {host}. " + "Expected format: http://hostname:port or https://hostname:port. " + "Langfuse observability will be disabled for this session." + ) + return False + # Validate scheme is http or https + if parsed.scheme not in ("http", "https"): + logging.warning( + f"LANGFUSE_HOST has unsupported scheme '{parsed.scheme}'. " + "Only http and https are supported. " + "Langfuse observability will be disabled for this session." + ) + return False + except Exception as e: + logging.warning( + f"Failed to parse LANGFUSE_HOST URL '{host}': {e}. " + "Langfuse observability will be disabled for this session." + ) + return False + + try: + self.langfuse_client = Langfuse( + public_key=public_key, secret_key=secret_key, host=host + ) + + # Create a ROOT span for this session using start_span() + # (Same API as tool spans - child spans/generations attach automatically) + self.langfuse_span = self.langfuse_client.start_span( + name="claude_agent_session", + input={"prompt": prompt}, + metadata={ + "session_id": self.session_id, + "namespace": namespace, + "user_id": self.user_id if self.user_id else None, + "user_name": self.user_name if self.user_name else None, + }, + ) + + if self.user_id: + logging.info( + f"Langfuse: Tracking session for user {self.user_name} ({self.user_id})" + ) + + logging.info("Langfuse tracing enabled for session") + return True + + except Exception as e: + # Sanitize error message to prevent API key and host leakage + # NEVER log exception object - only sanitized message string + secrets = { + "public_key": public_key, + "secret_key": secret_key, + "host": host, + } + error_msg = sanitize_exception_message(e, secrets) + + # Log sanitized warning without exception object or traceback + logging.warning( + f"Langfuse initialization failed: {error_msg}. " + f"Observability will be disabled for this session. " + f"Check that your Langfuse keys are valid and the LANGFUSE_HOST is reachable." + ) + logging.debug(f"Langfuse initialization error type: {type(e).__name__}") + + # Continue without Langfuse - don't fail the session + self.langfuse_client = None + self.langfuse_span = None + return False + + def track_generation(self, message: Any, model: str, turn_count: int) -> None: + """Track Claude generation in Langfuse. + + Args: + message: AssistantMessage from Claude SDK + model: Model name (e.g., "claude-3-5-sonnet-20241022") + turn_count: Current turn number + """ + if not self.langfuse_client or not self.langfuse_span: + return + + try: + # Import here to avoid circular dependency + from claude_agent_sdk import TextBlock + + # Extract text content and usage data for generation + text_content = [] + for blk in getattr(message, "content", []) or []: + if isinstance(blk, TextBlock): + text_content.append(getattr(blk, "text", "")) + + if not text_content: + return + + # Check if message has usage data (it might not on every AssistantMessage) + usage_data = getattr(message, "usage", None) + + generation_kwargs = { + "name": "claude_response", + "input": {"turn": turn_count}, + "output": {"text": "\n".join(text_content)[:1000]}, # Limit size + "model": model, + "metadata": {"turn": turn_count}, + } + + # Add usage_details if available (for Langfuse cost tracking) + if usage_data and hasattr(usage_data, "__dict__"): + usage_dict = {} + if hasattr(usage_data, "input_tokens"): + usage_dict["input"] = usage_data.input_tokens + if hasattr(usage_data, "output_tokens"): + usage_dict["output"] = usage_data.output_tokens + if hasattr(usage_data, "cache_read_input_tokens"): + usage_dict["cache_read_input_tokens"] = ( + usage_data.cache_read_input_tokens + ) + if hasattr(usage_data, "cache_creation_input_tokens"): + usage_dict["cache_creation_input_tokens"] = ( + usage_data.cache_creation_input_tokens + ) + + if usage_dict: + generation_kwargs["usage_details"] = usage_dict + logging.info( + f"Langfuse: Tracking generation with usage: {usage_dict}" + ) + + # Create generation as child of root span (not root-level) + # This ensures usage/cost data rolls up to the trace + generation = self.langfuse_span.start_generation(**generation_kwargs) + generation.end() + except Exception as e: + logging.debug(f"Failed to create Langfuse generation: {e}") + + def track_tool_use(self, tool_name: str, tool_id: str, tool_input: dict) -> None: + """Track tool decision in Langfuse. + + Args: + tool_name: Name of the tool being used + tool_id: Unique tool use ID + tool_input: Tool input parameters + """ + # Add Langfuse span for tool decision as child of root span + # This ensures tool usage is properly nested in the trace hierarchy + if self.langfuse_client and self.langfuse_span: + try: + tool_span = self.langfuse_span.start_span( + name=f"tool_{tool_name}", + input=tool_input, + metadata={ + "tool_id": tool_id, + "tool_name": tool_name, + }, + ) + # Store tool span to update with result later + self._langfuse_tool_spans[tool_id] = tool_span + except Exception as e: + logging.debug(f"Failed to create Langfuse tool span: {e}") + + def track_tool_result(self, tool_use_id: str, content: Any, is_error: bool) -> None: + """Track tool result in Langfuse. + + Args: + tool_use_id: Tool use ID from track_tool_use + content: Tool result content + is_error: Whether the tool execution failed + """ + # Update Langfuse tool span with result + if tool_use_id in self._langfuse_tool_spans: + try: + tool_span = self._langfuse_tool_spans[tool_use_id] + # Truncate long results with indicator + if content: + result_text = str(content) + if len(result_text) > 500: + result_text = result_text[:500] + "...[truncated]" + else: + result_text = "No output" + + tool_span.end( + output={"result": result_text}, + level="ERROR" if is_error else "DEFAULT", + metadata={"is_error": is_error or False}, + ) + del self._langfuse_tool_spans[tool_use_id] + except Exception as e: + logging.debug(f"Failed to update Langfuse tool span: {e}") + + def track_session_totals(self, result_payload: dict) -> None: + """Track session-level cost and usage in Langfuse. + + Args: + result_payload: ResultMessage payload with usage/cost data + """ + if not self.langfuse_client or not self.langfuse_span: + return + + try: + usage = result_payload.get("usage") + total_cost = result_payload.get("total_cost_usd") + + # Build usage_details dict for Langfuse (proper SDK format) + usage_details = {} + if usage and hasattr(usage, "__dict__"): + input_tokens = getattr(usage, "input_tokens", None) + output_tokens = getattr(usage, "output_tokens", None) + total_tokens = getattr(usage, "total_tokens", None) + + if input_tokens is not None: + usage_details["input"] = input_tokens + if output_tokens is not None: + usage_details["output"] = output_tokens + if total_tokens is not None: + usage_details["total"] = total_tokens + + # Include cache tokens if available + cache_read = getattr(usage, "cache_read_input_tokens", None) + cache_creation = getattr(usage, "cache_creation_input_tokens", None) + if cache_read is not None: + usage_details["cache_read_input_tokens"] = cache_read + if cache_creation is not None: + usage_details["cache_creation_input_tokens"] = cache_creation + + # Build cost_details dict for Langfuse + cost_details = {} + if total_cost is not None: + cost_details["total_cost"] = total_cost + + # Update span with usage and cost data (not just metadata) + # This ensures proper cost tracking in Langfuse UI + update_kwargs = {} + if usage_details: + update_kwargs["usage_details"] = usage_details + logging.info(f"Langfuse: Session usage - {usage_details}") + if cost_details: + update_kwargs["cost_details"] = cost_details + logging.info(f"Langfuse: Session cost - {cost_details}") + + if update_kwargs: + self.langfuse_span.update(**update_kwargs) + except Exception as e: + logging.debug(f"Failed to update Langfuse with session totals: {e}") + + async def finalize(self, result_payload: dict | None) -> None: + """End spans and flush observability data (success path). + + Args: + result_payload: ResultMessage payload with final metrics (may be None) + """ + # Complete Langfuse session span with final results + if self.langfuse_span and self.langfuse_client: + try: + # End the span with final output/metadata + if result_payload: + # Build usage and cost for span.end() call + end_kwargs = { + "output": result_payload, + "metadata": { + "num_turns": result_payload.get("num_turns", 0), + "duration_ms": result_payload.get("duration_ms"), + "subtype": result_payload.get("subtype"), + }, + } + + # Add usage_details if present + usage = result_payload.get("usage") + if usage and hasattr(usage, "__dict__"): + usage_details = {} + if hasattr(usage, "input_tokens") and usage.input_tokens is not None: + usage_details["input"] = usage.input_tokens + if hasattr(usage, "output_tokens") and usage.output_tokens is not None: + usage_details["output"] = usage.output_tokens + if hasattr(usage, "total_tokens") and usage.total_tokens is not None: + usage_details["total"] = usage.total_tokens + if usage_details: + end_kwargs["usage_details"] = usage_details + + # Add cost_details if present + total_cost = result_payload.get("total_cost_usd") + if total_cost is not None: + end_kwargs["cost_details"] = {"total_cost": total_cost} + + self.langfuse_span.end(**end_kwargs) + logging.info("Langfuse span ended with result payload") + else: + # No result payload (e.g., git push operations), but still end span + self.langfuse_span.end() + logging.info("Langfuse span ended without result payload") + + # CRITICAL: Always flush, even if no result payload + # Otherwise traces never appear in Langfuse UI! + # Use 30s timeout to handle network latency and batch uploads + # Rationale: + # - Langfuse SDK batches events before HTTP upload + # - Typical sessions: 10-50 events, flush takes 500ms-2s + # - Large sessions: 500+ events can take 5-10s to upload + # - Network latency: cluster-internal ~50ms, external 200-500ms + # - 30s provides 3x-6x safety margin for worst-case scenarios + # - If flush regularly times out, increase timeout or check network/Langfuse health + success, _ = await with_sync_timeout( + self.langfuse_client.flush, 30.0, "Langfuse flush" + ) + if success: + logging.info("Langfuse flush completed successfully") + else: + # Error level for flush timeouts - this means observability data was lost + logging.error( + "Langfuse flush timed out after 30s - observability data may not be sent. " + "Check network connectivity to LANGFUSE_HOST." + ) + except Exception as e: + logging.warning(f"Failed to complete Langfuse session span: {e}") + + async def cleanup_on_error(self, error: Exception) -> None: + """End spans and flush observability data (error path). + + Args: + error: Exception that caused the failure + """ + # 1. End Langfuse span with error if available + if self.langfuse_span and self.langfuse_client: + try: + # End span with error status + self.langfuse_span.end(level="ERROR", status_message=str(error)) + # Flush with 30s timeout (same as success path) + success, _ = await with_sync_timeout( + self.langfuse_client.flush, 30.0, "Langfuse error cleanup flush" + ) + if not success: + logging.error( + "Langfuse error cleanup flush timed out after 30s - " + "error trace may not be sent." + ) + except Exception as cleanup_err: + logging.debug(f"Failed to cleanup Langfuse span: {cleanup_err}") diff --git a/components/runners/claude-code-runner/pyproject.toml b/components/runners/claude-code-runner/pyproject.toml index bcb04de5e..213a33601 100644 --- a/components/runners/claude-code-runner/pyproject.toml +++ b/components/runners/claude-code-runner/pyproject.toml @@ -13,14 +13,21 @@ dependencies = [ "pyjwt>=2.8.0", "anthropic[vertex]==0.73.0", # Pin to working version (0.74.0+ untested) "claude-agent-sdk==0.1.6", # Pin to working version (0.1.7+ untested) + "langfuse>=3.0.0", ] [tool.uv] dev-dependencies = [ "pytest>=7.4.0", "pytest-asyncio>=0.21.0", + "pytest-cov>=4.1.0", + "ruff>=0.1.0", + "black>=23.0.0", ] +[tool.setuptools] +py-modules = ["wrapper", "observability", "security_utils"] + [build-system] requires = ["setuptools>=61.0"] build-backend = "setuptools.build_meta" diff --git a/components/runners/claude-code-runner/security_utils.py b/components/runners/claude-code-runner/security_utils.py new file mode 100644 index 000000000..bb1a58e9d --- /dev/null +++ b/components/runners/claude-code-runner/security_utils.py @@ -0,0 +1,155 @@ +""" +Security utilities for Claude Code runner. + +Provides exception sanitization and timeout wrappers +to prevent API key leaks and hanging operations. +""" + +import re +import asyncio +import logging +from typing import Callable, Any, TypeVar, ParamSpec + +P = ParamSpec("P") +T = TypeVar("T") + + +def sanitize_exception_message( + exception: Exception, secrets_to_redact: dict[str, str] +) -> str: + """Sanitize exception message to prevent secret leakage. + + Replaces any occurrence of secret values with redacted placeholders. + NEVER logs the exception object itself - only the sanitized message string. + + Approach: Simple string replacement + Rationale: + - Straightforward and easy to audit (no complex regex patterns) + - Works for typical cases: API keys, tokens, hosts in error messages + - Performance: O(n*m) where n=message length, m=number of secrets (acceptable for small m) + + Limitations: + - May not catch secrets in encoded forms (base64, URL-encoded) + - Substring matches could over-redact (e.g., "pk" in "package") + - Relies on caller providing complete secrets dict + + For production use: + - Always include all sensitive values in secrets_to_redact + - Test with actual error scenarios to verify effectiveness + - Consider regex-based redaction if encoded forms are concern + + Args: + exception: The exception object + secrets_to_redact: Dict mapping secret names to values (e.g., {"public_key": "pk-123"}) + + Returns: + Sanitized error message string + """ + error_msg = str(exception) + + # Redact each secret using simple string replacement + for secret_name, secret_value in secrets_to_redact.items(): + if secret_value and secret_value.strip(): + placeholder = f"[REDACTED_{secret_name.upper()}]" + error_msg = error_msg.replace(secret_value, placeholder) + + return error_msg + + +async def with_timeout( + coro_or_func: Callable[P, Any], + timeout_seconds: float, + operation_name: str, + *args: P.args, + **kwargs: P.kwargs, +) -> tuple[bool, Any]: + """Execute async operation with timeout. + + Args: + coro_or_func: Async function or coroutine to execute + timeout_seconds: Timeout in seconds + operation_name: Operation description for logging + *args: Positional arguments to pass to the function + **kwargs: Keyword arguments to pass to the function + + Returns: + Tuple of (success, result_or_error) + """ + try: + # If it's a callable, call it to get the coroutine + if callable(coro_or_func): + coro = coro_or_func(*args, **kwargs) + else: + coro = coro_or_func + + result = await asyncio.wait_for(coro, timeout=timeout_seconds) + return True, result + except asyncio.TimeoutError: + logging.warning(f"{operation_name} timed out after {timeout_seconds}s") + return False, None + except Exception as e: + logging.error(f"{operation_name} failed: {e}") + return False, e + + +async def with_sync_timeout( + func: Callable[P, T], + timeout_seconds: float, + operation_name: str, + *args: P.args, + **kwargs: P.kwargs, +) -> tuple[bool, T | None]: + """Execute synchronous blocking operation with timeout in executor. + + Useful for synchronous I/O operations that might hang (e.g., network flushes). + + Args: + func: Synchronous function to execute + timeout_seconds: Timeout in seconds + operation_name: Operation description for logging + *args: Positional arguments to pass to the function + **kwargs: Keyword arguments to pass to the function + + Returns: + Tuple of (success, result_or_None) + """ + loop = asyncio.get_event_loop() + + try: + # Run sync function in executor with timeout + result = await asyncio.wait_for( + loop.run_in_executor(None, lambda: func(*args, **kwargs)), + timeout=timeout_seconds, + ) + return True, result + except asyncio.TimeoutError: + logging.warning(f"{operation_name} timed out after {timeout_seconds}s") + return False, None + except Exception as e: + logging.error(f"{operation_name} failed: {e}") + return False, None + + +def validate_and_sanitize_for_logging(value: str, max_length: int = 1000) -> str: + """Validate and sanitize string value before logging to prevent log injection. + + Removes control characters and truncates to max length. + + Args: + value: String to sanitize + max_length: Maximum allowed length + + Returns: + Sanitized string safe for logging + """ + if not value: + return "" + + # Remove control characters + sanitized = re.sub(r"[\x00-\x1f\x7f-\x9f]", "", str(value)) + + # Truncate if too long + if len(sanitized) > max_length: + sanitized = sanitized[:max_length] + "...[truncated]" + + return sanitized diff --git a/components/runners/claude-code-runner/tests/README.md b/components/runners/claude-code-runner/tests/README.md new file mode 100644 index 000000000..e8daba823 --- /dev/null +++ b/components/runners/claude-code-runner/tests/README.md @@ -0,0 +1,169 @@ +# Claude Code Runner Tests + +This directory contains unit tests for the Claude Code runner components. + +## Test Files + +- `test_observability.py` - Tests for Langfuse observability manager +- `test_security_utils.py` - Tests for security utilities (secret sanitization, timeouts) +- `test_model_mapping.py` - Tests for model mapping (existing) +- `test_wrapper_vertex.py` - Tests for Vertex AI wrapper (existing) + +## Running Tests + +### Prerequisites + +Install development dependencies: + +```bash +# Using uv (recommended) +uv pip install -e ".[dev]" + +# Or using pip +pip install -e ".[dev]" +``` + +### Run All Tests + +```bash +# Run all tests with verbose output +pytest -v + +# Run all tests with coverage +pytest --cov=. --cov-report=term-missing +``` + +### Run Specific Test Files + +```bash +# Run observability tests only +pytest tests/test_observability.py -v + +# Run security utils tests only +pytest tests/test_security_utils.py -v + +# Run a specific test class +pytest tests/test_observability.py::TestLangfuseInitialization -v + +# Run a specific test +pytest tests/test_observability.py::TestLangfuseInitialization::test_init_missing_public_key -v +``` + +### Run Tests with Output + +```bash +# Show print statements and log output +pytest -v -s + +# Show captured logs +pytest -v --log-cli-level=DEBUG +``` + +## Test Coverage + +The test suite covers: + +### Observability (`test_observability.py`) + +- ✅ Initialization with missing/invalid credentials +- ✅ Graceful fallback when Langfuse SDK unavailable +- ✅ Secret sanitization in error messages +- ✅ Generation tracking with usage data +- ✅ Tool execution tracking (start and result) +- ✅ Session finalization with and without result payload +- ✅ Error cleanup and flushing +- ✅ All environment variable combinations + +### Security Utils (`test_security_utils.py`) + +- ✅ Exception message sanitization (prevent API key leaks) +- ✅ Async timeout wrapper (`with_timeout`) +- ✅ Sync-to-async timeout wrapper (`with_sync_timeout`) +- ✅ Log value sanitization (control character removal, truncation) +- ✅ Timeout logging behavior +- ✅ Exception logging behavior + +## Writing New Tests + +### Test Structure + +```python +import pytest +from unittest.mock import Mock, patch + +class TestFeatureName: + """Tests for specific feature.""" + + def test_basic_case(self): + """Test description.""" + # Arrange + # Act + # Assert + pass + + @pytest.mark.asyncio + async def test_async_case(self): + """Test async function.""" + # Arrange + # Act + # Assert + pass +``` + +### Mocking Langfuse + +```python +@patch('observability.Langfuse') +def test_with_langfuse(mock_langfuse_class): + mock_client = Mock() + mock_langfuse_class.return_value = mock_client + # Test code +``` + +### Testing Environment Variables + +```python +with patch.dict(os.environ, {'VAR_NAME': 'value'}, clear=True): + # Test code with specific env vars +``` + +## Continuous Integration + +Tests run automatically on: +- Pull requests +- Commits to main branch +- Via GitHub Actions workflow + +See `.github/workflows/` for CI configuration. + +## Troubleshooting + +### Import Errors + +If you see `ModuleNotFoundError`, ensure dependencies are installed: + +```bash +uv pip install -e ".[dev]" +``` + +### Async Test Failures + +Make sure to: +1. Use `@pytest.mark.asyncio` decorator for async tests +2. Install `pytest-asyncio` (included in dev dependencies) + +### Mock Issues + +When mocking: +- Use `@patch` for module-level imports +- Use `Mock()` for object instances +- Use `AsyncMock()` for async methods + +## Adding Test Coverage + +To check which lines need test coverage: + +```bash +pytest --cov=. --cov-report=html +open htmlcov/index.html +``` diff --git a/components/runners/claude-code-runner/tests/test_observability.py b/components/runners/claude-code-runner/tests/test_observability.py new file mode 100644 index 000000000..eebc22277 --- /dev/null +++ b/components/runners/claude-code-runner/tests/test_observability.py @@ -0,0 +1,507 @@ +"""Unit tests for observability module.""" + +import pytest +import os +import logging +from unittest.mock import Mock, patch +from observability import ObservabilityManager + + +@pytest.fixture +def mock_langfuse_client(): + """Create mock Langfuse client.""" + mock_client = Mock() + mock_span = Mock() + mock_client.start_span.return_value = mock_span + mock_client.start_generation.return_value = Mock() + mock_client.flush = Mock() + return mock_client, mock_span + + +@pytest.fixture +def manager(): + """Create ObservabilityManager instance.""" + return ObservabilityManager( + session_id="test-session-123", user_id="user-456", user_name="Test User" + ) + + +class TestObservabilityManagerInit: + """Tests for ObservabilityManager initialization.""" + + def test_init_sets_properties(self): + """Test that __init__ sets all properties correctly.""" + manager = ObservabilityManager( + session_id="session-1", user_id="user-1", user_name="John Doe" + ) + + assert manager.session_id == "session-1" + assert manager.user_id == "user-1" + assert manager.user_name == "John Doe" + assert manager.langfuse_client is None + assert manager.langfuse_span is None + assert manager._langfuse_tool_spans == {} + + +class TestLangfuseInitialization: + """Tests for Langfuse initialization.""" + + @pytest.mark.asyncio + @patch("observability.LANGFUSE_AVAILABLE", False) + async def test_init_langfuse_unavailable(self, manager): + """Test initialization when Langfuse SDK is not available.""" + result = await manager.initialize("test prompt", "test-namespace") + + assert result is False + assert manager.langfuse_client is None + + @pytest.mark.asyncio + @patch("observability.LANGFUSE_AVAILABLE", True) + async def test_init_langfuse_disabled(self, manager): + """Test initialization when LANGFUSE_ENABLED is false.""" + with patch.dict(os.environ, {"LANGFUSE_ENABLED": "false"}): + result = await manager.initialize("test prompt", "test-namespace") + + assert result is False + assert manager.langfuse_client is None + + @pytest.mark.asyncio + @patch("observability.LANGFUSE_AVAILABLE", True) + async def test_init_missing_public_key(self, manager, caplog): + """Test initialization with missing LANGFUSE_PUBLIC_KEY.""" + env_vars = { + "LANGFUSE_ENABLED": "true", + "LANGFUSE_PUBLIC_KEY": "", + "LANGFUSE_SECRET_KEY": "sk-lf-secret", + "LANGFUSE_HOST": "http://localhost:3000", + } + + with patch.dict(os.environ, env_vars, clear=True): + with caplog.at_level(logging.WARNING): + result = await manager.initialize("test prompt", "test-namespace") + + assert result is False + assert manager.langfuse_client is None + assert "LANGFUSE_PUBLIC_KEY or LANGFUSE_SECRET_KEY is missing" in caplog.text + assert "ambient-admin-langfuse-secret" in caplog.text + + @pytest.mark.asyncio + @patch("observability.LANGFUSE_AVAILABLE", True) + async def test_init_missing_secret_key(self, manager, caplog): + """Test initialization with missing LANGFUSE_SECRET_KEY.""" + env_vars = { + "LANGFUSE_ENABLED": "true", + "LANGFUSE_PUBLIC_KEY": "pk-lf-public", + "LANGFUSE_SECRET_KEY": "", + "LANGFUSE_HOST": "http://localhost:3000", + } + + with patch.dict(os.environ, env_vars, clear=True): + with caplog.at_level(logging.WARNING): + result = await manager.initialize("test prompt", "test-namespace") + + assert result is False + assert "LANGFUSE_PUBLIC_KEY or LANGFUSE_SECRET_KEY is missing" in caplog.text + + @pytest.mark.asyncio + @patch("observability.LANGFUSE_AVAILABLE", True) + async def test_init_missing_host(self, manager, caplog): + """Test initialization with missing LANGFUSE_HOST.""" + env_vars = { + "LANGFUSE_ENABLED": "true", + "LANGFUSE_PUBLIC_KEY": "pk-lf-public", + "LANGFUSE_SECRET_KEY": "sk-lf-secret", + "LANGFUSE_HOST": "", + } + + with patch.dict(os.environ, env_vars, clear=True): + with caplog.at_level(logging.WARNING): + result = await manager.initialize("test prompt", "test-namespace") + + assert result is False + assert "LANGFUSE_HOST is missing" in caplog.text + + @pytest.mark.asyncio + @patch("observability.LANGFUSE_AVAILABLE", True) + @patch("observability.Langfuse") + async def test_init_successful(self, mock_langfuse_class, manager, caplog): + """Test successful Langfuse initialization.""" + mock_client = Mock() + mock_span = Mock() + mock_client.start_span.return_value = mock_span + mock_langfuse_class.return_value = mock_client + + env_vars = { + "LANGFUSE_ENABLED": "true", + "LANGFUSE_PUBLIC_KEY": "pk-lf-public", + "LANGFUSE_SECRET_KEY": "sk-lf-secret", + "LANGFUSE_HOST": "http://localhost:3000", + } + + with patch.dict(os.environ, env_vars, clear=True): + with caplog.at_level(logging.INFO): + result = await manager.initialize("test prompt", "test-namespace") + + assert result is True + assert manager.langfuse_client is not None + assert manager.langfuse_span is not None + mock_langfuse_class.assert_called_once_with( + public_key="pk-lf-public", + secret_key="sk-lf-secret", + host="http://localhost:3000", + ) + mock_client.start_span.assert_called_once() + assert "Langfuse tracing enabled" in caplog.text + + @pytest.mark.asyncio + @patch("observability.LANGFUSE_AVAILABLE", True) + @patch("observability.Langfuse") + async def test_init_with_user_tracking(self, mock_langfuse_class, caplog): + """Test Langfuse initialization with user tracking.""" + mock_client = Mock() + mock_span = Mock() + mock_client.start_span.return_value = mock_span + mock_langfuse_class.return_value = mock_client + + manager = ObservabilityManager( + session_id="session-1", user_id="user-123", user_name="Jane Doe" + ) + + env_vars = { + "LANGFUSE_ENABLED": "true", + "LANGFUSE_PUBLIC_KEY": "pk-lf-public", + "LANGFUSE_SECRET_KEY": "sk-lf-secret", + "LANGFUSE_HOST": "http://localhost:3000", + } + + with patch.dict(os.environ, env_vars, clear=True): + with caplog.at_level(logging.INFO): + result = await manager.initialize("test prompt", "test-namespace") + + assert result is True + assert "Tracking session for user Jane Doe (user-123)" in caplog.text + + @pytest.mark.asyncio + @patch("observability.LANGFUSE_AVAILABLE", True) + @patch("observability.Langfuse") + async def test_init_langfuse_exception(self, mock_langfuse_class, manager, caplog): + """Test Langfuse initialization when SDK raises exception.""" + mock_langfuse_class.side_effect = Exception("Connection failed") + + env_vars = { + "LANGFUSE_ENABLED": "true", + "LANGFUSE_PUBLIC_KEY": "pk-lf-public", + "LANGFUSE_SECRET_KEY": "sk-lf-secret", + "LANGFUSE_HOST": "http://localhost:3000", + } + + with patch.dict(os.environ, env_vars, clear=True): + with caplog.at_level(logging.WARNING): + result = await manager.initialize("test prompt", "test-namespace") + + assert result is False + assert manager.langfuse_client is None + assert manager.langfuse_span is None + assert "Langfuse initialization failed" in caplog.text + assert "Observability will be disabled" in caplog.text + + @pytest.mark.asyncio + @patch("observability.LANGFUSE_AVAILABLE", True) + @patch("observability.Langfuse") + async def test_init_sanitizes_api_keys_in_error( + self, mock_langfuse_class, manager, caplog + ): + """Test that API keys are sanitized in error messages.""" + mock_langfuse_class.side_effect = Exception("Auth failed with key pk-lf-public") + + env_vars = { + "LANGFUSE_ENABLED": "true", + "LANGFUSE_PUBLIC_KEY": "pk-lf-public", + "LANGFUSE_SECRET_KEY": "sk-lf-secret", + "LANGFUSE_HOST": "http://localhost:3000", + } + + with patch.dict(os.environ, env_vars, clear=True): + with caplog.at_level(logging.WARNING): + result = await manager.initialize("test prompt", "test-namespace") + + assert result is False + # API key should be redacted + assert "pk-lf-public" not in caplog.text + assert "[REDACTED_PUBLIC_KEY]" in caplog.text + + +class TestTrackGeneration: + """Tests for track_generation method.""" + + def test_track_generation_no_client(self, manager): + """Test track_generation when Langfuse client is not initialized.""" + # Should not raise exception + manager.track_generation(Mock(), "claude-3-5-sonnet", 1) + + def test_track_generation_graceful_failure(self, manager): + """Test track_generation handles exceptions gracefully.""" + manager.langfuse_client = Mock() + manager.langfuse_span = Mock() + manager.langfuse_client.start_generation.side_effect = Exception("Test error") + + # Create message that will trigger the code path + message = Mock() + message.content = [] # Empty content should return early + + # Should not raise exception even when start_generation fails + manager.track_generation(message, "claude-3-5-sonnet", 1) + + +class TestTrackToolUse: + """Tests for track_tool_use method.""" + + def test_track_tool_use_no_client(self, manager): + """Test track_tool_use when Langfuse client is not initialized.""" + # Should not raise exception + manager.track_tool_use("Read", "tool-123", {"file": "test.txt"}) + + @patch("observability.Langfuse") + def test_track_tool_use_creates_span(self, mock_langfuse_class): + """Test track_tool_use creates tool span.""" + mock_client = Mock() + mock_tool_span = Mock() + mock_client.start_span.return_value = mock_tool_span + + manager = ObservabilityManager("session-1", "user-1", "User") + manager.langfuse_client = mock_client + manager.langfuse_span = Mock() + + tool_input = {"file_path": "/test/file.txt"} + manager.track_tool_use("Read", "tool-456", tool_input) + + mock_client.start_span.assert_called_once_with( + name="tool_Read", + input=tool_input, + metadata={ + "tool_id": "tool-456", + "tool_name": "Read", + }, + ) + assert "tool-456" in manager._langfuse_tool_spans + assert manager._langfuse_tool_spans["tool-456"] == mock_tool_span + + +class TestTrackToolResult: + """Tests for track_tool_result method.""" + + def test_track_tool_result_no_span(self, manager): + """Test track_tool_result when tool span doesn't exist.""" + # Should not raise exception + manager.track_tool_result("tool-999", "result", False) + + @patch("observability.Langfuse") + def test_track_tool_result_success(self, mock_langfuse_class): + """Test track_tool_result for successful tool execution.""" + mock_client = Mock() + mock_tool_span = Mock() + + manager = ObservabilityManager("session-1", "user-1", "User") + manager.langfuse_client = mock_client + manager._langfuse_tool_spans["tool-123"] = mock_tool_span + + manager.track_tool_result("tool-123", "File contents", is_error=False) + + mock_tool_span.end.assert_called_once() + call_kwargs = mock_tool_span.end.call_args[1] + assert call_kwargs["level"] == "DEFAULT" + assert "File contents" in call_kwargs["output"]["result"] + assert call_kwargs["metadata"]["is_error"] is False + assert "tool-123" not in manager._langfuse_tool_spans + + @patch("observability.Langfuse") + def test_track_tool_result_error(self, mock_langfuse_class): + """Test track_tool_result for failed tool execution.""" + mock_client = Mock() + mock_tool_span = Mock() + + manager = ObservabilityManager("session-1", "user-1", "User") + manager.langfuse_client = mock_client + manager._langfuse_tool_spans["tool-123"] = mock_tool_span + + manager.track_tool_result("tool-123", "Error: File not found", is_error=True) + + mock_tool_span.end.assert_called_once() + call_kwargs = mock_tool_span.end.call_args[1] + assert call_kwargs["level"] == "ERROR" + assert call_kwargs["metadata"]["is_error"] is True + + +class TestFinalize: + """Tests for finalize method.""" + + @pytest.mark.asyncio + async def test_finalize_no_client(self, manager): + """Test finalize when Langfuse client is not initialized.""" + # Should not raise exception + await manager.finalize(None) + + @pytest.mark.asyncio + @patch("observability.with_sync_timeout") + async def test_finalize_with_result_payload(self, mock_timeout): + """Test finalize with result payload.""" + mock_timeout.return_value = (True, None) + + mock_client = Mock() + mock_span = Mock() + + manager = ObservabilityManager("session-1", "user-1", "User") + manager.langfuse_client = mock_client + manager.langfuse_span = mock_span + + result_payload = { + "num_turns": 5, + "total_cost_usd": 0.01234, + "duration_ms": 15000, + "subtype": "completion", + } + + await manager.finalize(result_payload) + + mock_span.end.assert_called_once() + call_kwargs = mock_span.end.call_args[1] + assert call_kwargs["output"] == result_payload + assert call_kwargs["metadata"]["num_turns"] == 5 + assert call_kwargs["metadata"]["total_cost_usd"] == 0.01234 + + # Verify flush was called + mock_timeout.assert_called_once() + + @pytest.mark.asyncio + @patch("observability.with_sync_timeout") + async def test_finalize_without_result_payload(self, mock_timeout, caplog): + """Test finalize without result payload (e.g., git push).""" + mock_timeout.return_value = (True, None) + + mock_client = Mock() + mock_span = Mock() + + manager = ObservabilityManager("session-1", "user-1", "User") + manager.langfuse_client = mock_client + manager.langfuse_span = mock_span + + with caplog.at_level(logging.INFO): + await manager.finalize(None) + + mock_span.end.assert_called_once_with() # Called without args + assert "ended without result payload" in caplog.text + + # Verify flush was still called + mock_timeout.assert_called_once() + + @pytest.mark.asyncio + @patch("observability.with_sync_timeout") + async def test_finalize_flush_timeout(self, mock_timeout, caplog): + """Test finalize when flush times out.""" + mock_timeout.return_value = (False, None) # Timeout + + mock_client = Mock() + mock_span = Mock() + + manager = ObservabilityManager("session-1", "user-1", "User") + manager.langfuse_client = mock_client + manager.langfuse_span = mock_span + + with caplog.at_level(logging.WARNING): + await manager.finalize({"num_turns": 1}) + + assert "flush timed out" in caplog.text + + +class TestCleanupOnError: + """Tests for cleanup_on_error method.""" + + @pytest.mark.asyncio + async def test_cleanup_no_client(self, manager): + """Test cleanup_on_error when Langfuse client is not initialized.""" + # Should not raise exception + await manager.cleanup_on_error(ValueError("test error")) + + @pytest.mark.asyncio + @patch("observability.with_sync_timeout") + async def test_cleanup_on_error(self, mock_timeout): + """Test cleanup_on_error ends span with error.""" + mock_timeout.return_value = (True, None) + + mock_client = Mock() + mock_span = Mock() + + manager = ObservabilityManager("session-1", "user-1", "User") + manager.langfuse_client = mock_client + manager.langfuse_span = mock_span + + error = ValueError("Session failed") + await manager.cleanup_on_error(error) + + mock_span.end.assert_called_once() + call_kwargs = mock_span.end.call_args[1] + assert call_kwargs["level"] == "ERROR" + assert call_kwargs["status_message"] == "Session failed" + + # Verify flush was called + mock_timeout.assert_called_once() + + @pytest.mark.asyncio + @patch("observability.with_sync_timeout") + async def test_cleanup_flush_timeout(self, mock_timeout, caplog): + """Test cleanup when flush times out.""" + mock_timeout.return_value = (False, None) # Timeout + + mock_client = Mock() + mock_span = Mock() + + manager = ObservabilityManager("session-1", "user-1", "User") + manager.langfuse_client = mock_client + manager.langfuse_span = mock_span + + with caplog.at_level(logging.DEBUG): + await manager.cleanup_on_error(ValueError("test")) + + assert "error cleanup flush timed out" in caplog.text + + +class TestEnvironmentVariableCombinations: + """Tests for various environment variable combinations.""" + + @pytest.mark.asyncio + @patch("observability.LANGFUSE_AVAILABLE", True) + @pytest.mark.parametrize( + "enabled_value", ["1", "true", "True", "TRUE", "yes", "YES"] + ) + async def test_langfuse_enabled_variations(self, enabled_value, manager): + """Test that various truthy values for LANGFUSE_ENABLED work.""" + env_vars = { + "LANGFUSE_ENABLED": enabled_value, + "LANGFUSE_PUBLIC_KEY": "", # Missing key should still return False + "LANGFUSE_SECRET_KEY": "sk-lf-secret", + "LANGFUSE_HOST": "http://localhost:3000", + } + + with patch.dict(os.environ, env_vars, clear=True): + result = await manager.initialize("test prompt", "test-namespace") + + # Should fail due to missing public key, but LANGFUSE_ENABLED was recognized as true + assert result is False + + @pytest.mark.asyncio + @patch("observability.LANGFUSE_AVAILABLE", True) + @pytest.mark.parametrize("enabled_value", ["0", "false", "False", "no", "NO", ""]) + async def test_langfuse_disabled_variations(self, enabled_value, manager): + """Test that various falsy values for LANGFUSE_ENABLED work.""" + env_vars = { + "LANGFUSE_ENABLED": enabled_value, + "LANGFUSE_PUBLIC_KEY": "pk-lf-public", + "LANGFUSE_SECRET_KEY": "sk-lf-secret", + "LANGFUSE_HOST": "http://localhost:3000", + } + + with patch.dict(os.environ, env_vars, clear=True): + result = await manager.initialize("test prompt", "test-namespace") + + assert result is False + assert manager.langfuse_client is None diff --git a/components/runners/claude-code-runner/tests/test_security_utils.py b/components/runners/claude-code-runner/tests/test_security_utils.py new file mode 100644 index 000000000..ead755a7f --- /dev/null +++ b/components/runners/claude-code-runner/tests/test_security_utils.py @@ -0,0 +1,306 @@ +"""Unit tests for security_utils module.""" + +import pytest +import asyncio +import logging +from security_utils import ( + sanitize_exception_message, + with_timeout, + with_sync_timeout, + validate_and_sanitize_for_logging, +) + + +class TestSanitizeExceptionMessage: + """Tests for sanitize_exception_message function.""" + + def test_sanitize_single_secret(self): + """Test that a single secret is redacted.""" + exception = ValueError("Invalid API key: pk-lf-12345") + secrets = {"public_key": "pk-lf-12345"} + + result = sanitize_exception_message(exception, secrets) + + assert "pk-lf-12345" not in result + assert "[REDACTED_PUBLIC_KEY]" in result + + def test_sanitize_multiple_secrets(self): + """Test that multiple secrets are redacted.""" + exception = ValueError("Auth failed: pk-lf-12345 and sk-lf-secret") + secrets = {"public_key": "pk-lf-12345", "secret_key": "sk-lf-secret"} + + result = sanitize_exception_message(exception, secrets) + + assert "pk-lf-12345" not in result + assert "sk-lf-secret" not in result + assert "[REDACTED_PUBLIC_KEY]" in result + assert "[REDACTED_SECRET_KEY]" in result + + def test_sanitize_empty_secrets(self): + """Test that empty secrets are ignored.""" + exception = ValueError("Some error message") + secrets = {"public_key": "", "secret_key": None} + + result = sanitize_exception_message(exception, secrets) + + assert result == "Some error message" + + def test_sanitize_secret_with_whitespace(self): + """Test that secrets with whitespace are properly stripped.""" + exception = ValueError("Error with key pk-lf-12345") + secrets = {"public_key": " pk-lf-12345 "} + + result = sanitize_exception_message(exception, secrets) + + # Whitespace-only values should be ignored + assert "pk-lf-12345" in result + + def test_sanitize_no_secrets_in_message(self): + """Test message without secrets remains unchanged.""" + exception = ValueError("Generic error message") + secrets = {"public_key": "pk-lf-12345"} + + result = sanitize_exception_message(exception, secrets) + + assert result == "Generic error message" + + def test_sanitize_empty_exception_message(self): + """Test handling of exception with empty message.""" + exception = ValueError("") + secrets = {"public_key": "pk-lf-12345"} + + result = sanitize_exception_message(exception, secrets) + + assert result == "" + + +class TestWithTimeout: + """Tests for with_timeout async function.""" + + @pytest.mark.asyncio + async def test_successful_operation(self): + """Test successful async operation within timeout.""" + + async def quick_operation(): + await asyncio.sleep(0.01) + return "success" + + success, result = await with_timeout(quick_operation, 1.0, "test operation") + + assert success is True + assert result == "success" + + @pytest.mark.asyncio + async def test_timeout_exceeded(self): + """Test operation that exceeds timeout.""" + + async def slow_operation(): + await asyncio.sleep(2.0) + return "should not reach" + + success, result = await with_timeout(slow_operation, 0.1, "slow operation") + + assert success is False + assert result is None + + @pytest.mark.asyncio + async def test_operation_raises_exception(self): + """Test operation that raises exception.""" + + async def failing_operation(): + raise ValueError("Operation failed") + + success, result = await with_timeout(failing_operation, 1.0, "failing op") + + assert success is False + assert isinstance(result, ValueError) + assert str(result) == "Operation failed" + + @pytest.mark.asyncio + async def test_callable_with_arguments(self): + """Test passing arguments to callable.""" + + async def add_numbers(a, b): + return a + b + + success, result = await with_timeout(add_numbers, 1.0, "add", 5, 3) + + assert success is True + assert result == 8 + + @pytest.mark.asyncio + async def test_callable_with_kwargs(self): + """Test passing keyword arguments to callable.""" + + async def greet(name, greeting="Hello"): + return f"{greeting}, {name}" + + success, result = await with_timeout( + greet, 1.0, "greet", name="World", greeting="Hi" + ) + + assert success is True + assert result == "Hi, World" + + +class TestWithSyncTimeout: + """Tests for with_sync_timeout function.""" + + @pytest.mark.asyncio + async def test_successful_sync_operation(self): + """Test successful synchronous operation within timeout.""" + + def sync_add(a, b): + return a + b + + success, result = await with_sync_timeout(sync_add, 1.0, "sync add", 10, 20) + + assert success is True + assert result == 30 + + @pytest.mark.asyncio + async def test_sync_timeout_exceeded(self): + """Test sync operation that exceeds timeout.""" + import time + + def slow_sync_operation(): + time.sleep(2.0) + return "should not reach" + + success, result = await with_sync_timeout(slow_sync_operation, 0.1, "slow sync") + + assert success is False + assert result is None + + @pytest.mark.asyncio + async def test_sync_operation_raises_exception(self): + """Test sync operation that raises exception.""" + + def failing_sync_operation(): + raise RuntimeError("Sync operation failed") + + success, result = await with_sync_timeout( + failing_sync_operation, 1.0, "failing sync" + ) + + assert success is False + assert result is None + + @pytest.mark.asyncio + async def test_sync_with_kwargs(self): + """Test passing keyword arguments to sync function.""" + + def format_string(prefix, suffix, separator="-"): + return f"{prefix}{separator}{suffix}" + + success, result = await with_sync_timeout( + format_string, 1.0, "format", "hello", "world", separator="::" + ) + + assert success is True + assert result == "hello::world" + + +class TestValidateAndSanitizeForLogging: + """Tests for validate_and_sanitize_for_logging function.""" + + def test_simple_string(self): + """Test normal string passes through unchanged.""" + result = validate_and_sanitize_for_logging("Hello World") + assert result == "Hello World" + + def test_remove_control_characters(self): + """Test control characters are removed.""" + # String with null, bell, and other control chars + test_string = "Hello\x00World\x07Test\x1f" + result = validate_and_sanitize_for_logging(test_string) + assert result == "HelloWorldTest" + assert "\x00" not in result + assert "\x07" not in result + + def test_truncate_long_string(self): + """Test long strings are truncated.""" + long_string = "A" * 2000 + result = validate_and_sanitize_for_logging(long_string, max_length=100) + + assert len(result) <= 120 # 100 + "...[truncated]" + assert result.endswith("...[truncated]") + + def test_empty_string(self): + """Test empty string returns empty.""" + result = validate_and_sanitize_for_logging("") + assert result == "" + + def test_none_value(self): + """Test None value returns empty string.""" + result = validate_and_sanitize_for_logging(None) + assert result == "" + + def test_preserve_newlines_and_tabs(self): + """Test that newlines and tabs are preserved (they're not control chars in the removed range).""" + test_string = "Line1\nLine2\tTabbed" + result = validate_and_sanitize_for_logging(test_string) + # \n is 0x0a and \t is 0x09, which are in the control range 0x00-0x1f + # So they WILL be removed + assert "\n" not in result + assert "\t" not in result + + def test_custom_max_length(self): + """Test custom max_length parameter.""" + test_string = "ABCDEFGHIJ" + result = validate_and_sanitize_for_logging(test_string, max_length=5) + + assert result == "ABCDE...[truncated]" + + def test_unicode_characters(self): + """Test Unicode characters are preserved.""" + test_string = "Hello 世į•Œ 🌍" + result = validate_and_sanitize_for_logging(test_string) + assert result == "Hello 世į•Œ 🌍" + + +class TestLoggingBehavior: + """Integration tests for logging behavior.""" + + @pytest.mark.asyncio + async def test_timeout_logs_warning(self, caplog): + """Test that timeout logs appropriate warning.""" + + async def slow_op(): + await asyncio.sleep(1.0) + + with caplog.at_level(logging.WARNING): + success, _ = await with_timeout(slow_op, 0.1, "test timeout") + + assert not success + assert "test timeout" in caplog.text + assert "timed out" in caplog.text.lower() + + @pytest.mark.asyncio + async def test_exception_logs_error(self, caplog): + """Test that exceptions log appropriate error.""" + + async def failing_op(): + raise ValueError("Test error") + + with caplog.at_level(logging.ERROR): + success, _ = await with_timeout(failing_op, 1.0, "test error") + + assert not success + assert "test error" in caplog.text + assert "failed" in caplog.text.lower() + + @pytest.mark.asyncio + async def test_sync_timeout_logs_warning(self, caplog): + """Test that sync timeout logs appropriate warning.""" + import time + + def slow_sync(): + time.sleep(1.0) + + with caplog.at_level(logging.WARNING): + success, _ = await with_sync_timeout(slow_sync, 0.1, "sync timeout test") + + assert not success + assert "sync timeout test" in 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RunnerShell -from runner_shell.core.protocol import MessageType, SessionStatus, PartialInfo +from runner_shell.core.protocol import MessageType, PartialInfo from runner_shell.core.context import RunnerContext +# NOTE: ObservabilityManager is imported lazily inside _run_claude_agent_sdk() +# to avoid potential import-time conflicts with claude_agent_sdk + class ClaudeCodeAdapter: """Adapter that wraps the existing Claude Code CLI for runner-shell.""" @@ -45,6 +48,43 @@ async def initialize(self, context: RunnerContext): # Validate prerequisite files exist for phase-based commands await self._validate_prerequisites() + @staticmethod + def _sanitize_user_context(user_id: str, user_name: str) -> tuple[str, str]: + """Validate and sanitize user context fields to prevent injection attacks. + + Returns: + Tuple of (sanitized_user_id, sanitized_user_name) + """ + # Validate user_id: alphanumeric, dash, underscore, at sign only + # Max 255 characters (email addresses can be up to 254 chars) + if user_id: + user_id = str(user_id).strip() + if len(user_id) > 255: + logging.warning(f"User ID exceeds max length (255), truncating: {len(user_id)} chars") + user_id = user_id[:255] + # Remove any characters that could cause injection issues + import re + sanitized_id = re.sub(r'[^a-zA-Z0-9@._-]', '', user_id) + if sanitized_id != user_id: + logging.warning(f"User ID contained invalid characters, sanitized from {len(user_id)} to {len(sanitized_id)} chars") + user_id = sanitized_id + + # Validate user_name: printable ASCII, no control characters + # Max 255 characters + if user_name: + user_name = str(user_name).strip() + if len(user_name) > 255: + logging.warning(f"User name exceeds max length (255), truncating: {len(user_name)} chars") + user_name = user_name[:255] + # Remove control characters and non-printable characters + import re + sanitized_name = re.sub(r'[\x00-\x1f\x7f-\x9f]', '', user_name) + if sanitized_name != user_name: + logging.warning(f"User name contained control characters, sanitized from {len(user_name)} to {len(sanitized_name)} chars") + user_name = sanitized_name + + return user_id, user_name + async def run(self): """Run the Claude Code CLI session.""" try: @@ -214,6 +254,23 @@ async def _run_claude_agent_sdk(self, prompt: str): # NOW we can safely import the SDK with the correct environment set from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions + # Import observability AFTER SDK to avoid potential conflicts + # Langfuse SDK might import anthropic which could interfere with claude_agent_sdk + from observability import ObservabilityManager + + # Extract and sanitize user context for observability (used by Langfuse) + # This prevents trace poisoning, log injection, and other security issues + raw_user_id = os.getenv('USER_ID', '').strip() + raw_user_name = os.getenv('USER_NAME', '').strip() + user_id, user_name = self._sanitize_user_context(raw_user_id, raw_user_name) + + # Initialize observability (Langfuse) + obs = ObservabilityManager(session_id=self.context.session_id, user_id=user_id, user_name=user_name) + await obs.initialize( + prompt=prompt, + namespace=self.context.get_env('AGENTIC_SESSION_NAMESPACE', 'unknown') + ) + # Check if continuing from previous session # If PARENT_SESSION_ID is set, use SDK's built-in resume functionality parent_session_id = self.context.get_env('PARENT_SESSION_ID', '').strip() @@ -384,11 +441,13 @@ async def _run_claude_agent_sdk(self, prompt: str): pass # Model settings from both legacy and LLM_* envs model = self.context.get_env('LLM_MODEL') + configured_model = model or 'claude-3-5-sonnet-20241022' # Default model for tracking if model: try: # Map Anthropic API model names to Vertex AI model names if using Vertex if use_vertex: model = self._map_to_vertex_model(model) + configured_model = model # Track the mapped model name logging.info(f"Mapped to Vertex AI model: {model}") options.model = model # type: ignore[attr-defined] except Exception: @@ -464,6 +523,8 @@ async def process_response_stream(client_obj): {"tool": tool_name, "input": tool_input, "id": tool_id}, ) self._turn_count += 1 + # Track tool use in observability + obs.track_tool_use(tool_name, tool_id, tool_input) elif isinstance(block, ToolResultBlock): tool_use_id = getattr(block, 'tool_use_id', None) content = getattr(block, 'content', None) @@ -480,11 +541,16 @@ async def process_response_stream(client_obj): } }, ) + # Track tool result in observability + obs.track_tool_result(tool_use_id, content if content is not None else result_text, is_error or False) if interactive: await self.shell._send_message(MessageType.WAITING_FOR_INPUT, {}) self._turn_count += 1 elif isinstance(block, ThinkingBlock): await self._send_log({"level": "debug", "message": "Model is reasoning..."}) + # Track generation in observability (only for AssistantMessage) + if isinstance(message, AssistantMessage): + obs.track_generation(message, configured_model, self._turn_count) elif isinstance(message, (SystemMessage)): text = getattr(message, 'text', None) if text: @@ -589,6 +655,9 @@ async def process_one_prompt(text: str): # Note: All output is streamed via WebSocket, not collected here await self._check_pr_intent("") + # Finalize observability (end spans and flush) + await obs.finalize(result_payload) + # Return success - result_payload may be None if SDK didn't send ResultMessage # (which can happen legitimately for some operations like git push) return { @@ -600,6 +669,9 @@ async def process_one_prompt(text: str): } except Exception as e: logging.error(f"Failed to run Claude Code SDK: {e}") + # Clean up observability spans on error path + if 'obs' in locals(): + await obs.cleanup_on_error(e) return { "success": False, "error": str(e) diff --git a/e2e/langfuse/README.md b/e2e/langfuse/README.md index 683a28d41..0ffb33308 100644 --- a/e2e/langfuse/README.md +++ b/e2e/langfuse/README.md @@ -2,12 +2,11 @@ ## Overview -**Unified Observability** means both Langfuse SDK spans AND OpenTelemetry spans are sent to Langfuse and appear in the same trace hierarchy: +**Langfuse** is the observability platform for the vTeam/Ambient Code Platform. All traces are sent to Langfuse for LLM-specific observability: -- **Langfuse SDK spans**: LLM-specific observability (prompts, responses, generations, tool executions with full I/O) -- **OpenTelemetry spans**: System-level distributed tracing (session lifecycle, performance metrics, costs) - -Both span types automatically nest together in Langfuse because **Langfuse SDK v3 is OpenTelemetry-native**. +- **Session spans**: Full Claude session lifecycle with cost and token metrics +- **Generation spans**: Claude's text responses with prompt/completion tracking +- **Tool spans**: Tool executions (Read, Write, Bash, etc.) with full I/O capture ## Prerequisites @@ -24,176 +23,200 @@ Both span types automatically nest together in Langfuse because **Langfuse SDK v ## Quick Start -### Using WorkspaceSettings UI (Recommended) +### Platform-Wide Configuration (Platform Admin Only) + +**IMPORTANT**: Langfuse observability is configured by **platform administrators**, not individual workspace users. All LANGFUSE_* configuration is stored in a single secret for consistency and security. + +#### Step 1: Create the Secret + +Create the `ambient-admin-langfuse-secret` secret with all Langfuse configuration: + +```bash +kubectl create secret generic ambient-admin-langfuse-secret \ + --from-literal=LANGFUSE_PUBLIC_KEY=pk-lf-... \ + --from-literal=LANGFUSE_SECRET_KEY=sk-lf-... \ + --from-literal=LANGFUSE_HOST=http://langfuse-web.langfuse.svc.cluster.local:3000 \ + --from-literal=LANGFUSE_ENABLED=true \ + -n ambient-code +``` + +#### Step 2: Restart the Operator -**All observability configuration is managed via the WorkspaceSettings UI.** +```bash +kubectl rollout restart deployment ambient-operator -n ambient-code +``` + +#### Step 3: Verify -1. **Access WorkspaceSettings** for your project: - - Navigate to your workspace - - Go to Settings tab - - Expand "Observability (Langfuse + OpenTelemetry)" section +All new sessions will automatically have Langfuse observability enabled. Check runner pod logs: + +```bash +kubectl logs -n -c ambient-code-runner | grep Langfuse +``` -2. **Configure Langfuse** (pre-populated with defaults): - - `LANGFUSE_ENABLED`: `true` (already set) - - `LANGFUSE_HOST`: `http://langfuse-web.langfuse.svc.cluster.local:3000` (already set) - - `LANGFUSE_PUBLIC_KEY`: Add your `pk-lf-...` key - - `LANGFUSE_SECRET_KEY`: Add your `sk-lf-...` key +### Per-Workspace Configuration (Not Supported) -3. **OpenTelemetry (Optional - Advanced Users Only)**: - - `OTEL_EXPORTER_OTLP_ENDPOINT`: **Leave empty** (traces auto-sent to Langfuse) - - `OTEL_SERVICE_NAME`: `claude-code-runner` (dynamically set to `claude-{session-id}`) +Per-workspace Langfuse configuration is **not supported**. Observability must be consistent across the platform for proper cost tracking and compliance. All LANGFUSE_* configuration is managed by platform administrators via the `ambient-admin-langfuse-secret` secret. -4. **Save Integration Secrets** - All keys saved to `ambient-non-vertex-integrations` +If you need workspace-specific tracking, use Langfuse's built-in tagging and filtering features instead. -## How Unified Observability Works +## How Langfuse Observability Works ``` ┌─────────────────────────────────────────────────┐ │ Runner Pod │ ├─────────────────────────────────────────────────┤ -│ Langfuse SDK v3 (OTEL-native) │ +│ Langfuse SDK v3 │ │ ↓ creates │ -│ â€ĸ Session span (Langfuse API) │ +│ â€ĸ Session span (claude_agent_session) │ │ â€ĸ Tool spans (Read, Write, Bash...) │ │ â€ĸ Generation spans (Claude responses) │ │ │ -│ OpenTelemetry SDK │ -│ ↓ creates │ -│ â€ĸ Session span (system-level) │ -│ â€ĸ Tool decision events │ -│ â€ĸ Performance metrics │ -│ │ -│ Both span sources ──────────────────────────┐ │ -└──────────────────────────────────────────────â”ŧ─┘ - ↓ - Langfuse OTLP Endpoint - /api/public/otel/v1/traces - (HTTP/protobuf + Basic Auth) - ↓ - Langfuse Backend - ↓ - ┌─────────────────────────┐ - │ Unified Trace View │ - ├─────────────────────────┤ - │ claude_agent_session │ ← Main span - │ ├─ tool_Read │ ← Langfuse SDK - │ ├─ tool_Write │ ← Langfuse SDK - │ ├─ claude_response │ ← Langfuse SDK - │ └─ Performance data │ ← OTEL SDK - └─────────────────────────┘ +│ All spans ────────────────────────────────────┐│ +└─────────────────────────────────────────────────â”ŧ┘ + ↓ + Langfuse HTTP API + /api/public/ingestion + (HTTP/JSON with API keys) + ↓ + Langfuse Backend + ↓ + ┌─────────────────────────┐ + │ Unified Trace View │ + ├─────────────────────────┤ + │ claude_agent_session │ ← Session span + │ ├─ tool_Read │ ← Tool execution + │ ├─ tool_Write │ ← Tool execution + │ ├─ claude_response │ ← Claude generation + │ └─ Cost & tokens │ ← Final metrics + └─────────────────────────┘ ``` ### Key Points -1. **Auto-derivation**: If `OTEL_EXPORTER_OTLP_ENDPOINT` is empty, runner derives endpoint from `LANGFUSE_HOST` -2. **Basic Auth**: Runner automatically adds `Authorization: Basic {base64(public_key:secret_key)}` header -3. **Protocol**: HTTP/protobuf (gRPC not supported by Langfuse) -4. **Context propagation**: OpenTelemetry automatically nests spans within same trace +1. **Simple integration**: Runner uses Langfuse Python SDK (v3+) for direct HTTP API calls +2. **API Key auth**: Runner automatically receives all LANGFUSE_* config from `ambient-admin-langfuse-secret` secret +3. **Automatic nesting**: Child spans (tools, generations) attach to parent session span via SDK context ## Trace Structure -### Langfuse SDK Spans +### Session Span (Root) + +**Name**: `claude_agent_session` -1. **Session Span** - Main span for entire Claude session - - Input: Original prompt - - Output: Final results with cost/token metrics - - Metadata: session ID, namespace +- **Input**: Original prompt from user +- **Output**: Final results with cost/token metrics +- **Metadata**: + - `session_id`: Kubernetes session name + - `namespace`: Project namespace + - `user_id`: User identifier (for multi-user tracking) + - `user_name`: User display name -2. **Tool Spans** - Child spans for each tool execution - - Input: Tool parameters (full detail) - - Output: Tool results (truncated to 500 chars) - - Metadata: tool name, ID, turn number +### Tool Spans (Children) -3. **Generation Spans** - Claude's text responses - - Input: Turn number - - Output: Claude text (truncated to 1000 chars) - - Metadata: Model, turn number +**Name**: `tool_{ToolName}` (e.g., `tool_Read`, `tool_Write`, `tool_Bash`) -### OpenTelemetry Spans +- **Input**: Tool parameters (full detail) +- **Output**: Tool results (truncated to 500 chars) +- **Metadata**: + - `tool_id`: Unique ID for this tool use + - `tool_name`: Tool name (Read, Write, etc.) -1. **Session Span** - System-level span matching session - - Attributes: session ID, namespace, prompt length - - Final attributes: cost, tokens, turns, duration, subtype +### Generation Spans (Children) -2. **Tool Events** - Events on session span - - `claude_code.tool_decision`: tool name, tool ID - - `claude_code.tool_result`: tool use ID, error status +**Name**: `claude_response` + +- **Input**: Turn number +- **Output**: Claude's text response (truncated to 1000 chars) +- **Metadata**: + - `model`: Model name (e.g., `claude-3-5-sonnet-20241022`) + - `turn`: Turn number in conversation +- **Usage**: Token counts for cost tracking + - `input`: Input tokens + - `output`: Output tokens + - `cache_read_input_tokens`: Cache hits (if applicable) + - `cache_creation_input_tokens`: Cache writes (if applicable) ## Viewing Traces 1. Open Langfuse UI: https://langfuse-langfuse.apps. 2. Navigate to your project -3. View traces by session ID +3. View traces by session ID or timestamp 4. Drill down to see: - - **Langfuse spans**: Full tool I/O, generation content - - **OTEL spans**: Performance metrics, costs, tokens - - All in one unified hierarchy! + - **Full tool I/O**: Complete input/output for each tool execution + - **Generation content**: Claude's responses with token breakdown + - **Cost tracking**: Total cost and per-generation costs + - **Session metrics**: Total tokens, turns, duration ## Configuration Details -All environment variables are stored in the `ambient-non-vertex-integrations` secret: +### Platform Admin Secret (`ambient-admin-langfuse-secret`) -### Required Keys +All Langfuse configuration is stored in a single secret managed by platform administrators: ```yaml -LANGFUSE_PUBLIC_KEY: "pk-lf-..." -LANGFUSE_SECRET_KEY: "sk-lf-..." +apiVersion: v1 +kind: Secret +metadata: + name: ambient-admin-langfuse-secret + namespace: ambient-code # operator's namespace +type: Opaque +stringData: + # Credentials (sensitive) + LANGFUSE_PUBLIC_KEY: "pk-lf-..." + LANGFUSE_SECRET_KEY: "sk-lf-..." + + # Configuration + LANGFUSE_HOST: "http://langfuse-web.langfuse.svc.cluster.local:3000" + LANGFUSE_ENABLED: "true" ``` -### Pre-configured (Optional to Override) +**Note**: This secret is platform-wide and cannot be overridden per-workspace. For workspace-specific tracking, use Langfuse's tags and filters. -```yaml -LANGFUSE_ENABLED: "true" -LANGFUSE_HOST: "http://langfuse-web.langfuse.svc.cluster.local:3000" -OTEL_SERVICE_NAME: "claude-code-runner" # Dynamically set to claude-{session-id} -``` +## Updating Configuration -### Advanced (Usually Empty) +### Platform-Wide Update (Platform Admin Only) -```yaml -OTEL_EXPORTER_OTLP_ENDPOINT: "" # Leave empty to use Langfuse -``` +```bash +# Update the secret +kubectl create secret generic ambient-admin-langfuse-secret \ + --from-literal=LANGFUSE_PUBLIC_KEY=pk-lf-new-key \ + --from-literal=LANGFUSE_SECRET_KEY=sk-lf-new-key \ + --from-literal=LANGFUSE_HOST=http://langfuse-web.langfuse.svc.cluster.local:3000 \ + --from-literal=LANGFUSE_ENABLED=true \ + -n ambient-code \ + --dry-run=client -o yaml | kubectl apply -f - -## Updating Configuration +# Restart operator to pick up changes +kubectl rollout restart deployment ambient-operator -n ambient-code +``` -To update your observability settings: +### Per-Project Update 1. Go to WorkspaceSettings → Settings → Observability -2. Update Langfuse keys or other settings +2. Update Langfuse keys 3. Click "Save Integration Secrets" 4. New sessions use updated config immediately -## Alternative Backends (Tempo/Grafana/Jaeger) - -**Important Limitation**: Langfuse SDK spans **cannot** be exported to Tempo/Grafana/Jaeger. The Langfuse SDK always sends traces to the Langfuse API endpoint, even though it's "OTEL-native". - -**What you CAN do** (advanced users only): -- Set `OTEL_EXPORTER_OTLP_ENDPOINT` to send **OpenTelemetry SDK spans** to Tempo/Jaeger/Grafana -- This creates **two separate trace systems**: - - Langfuse SDK spans → Langfuse UI (LLM-specific: tool I/O, generations, prompts) - - OTEL SDK spans → Tempo/Grafana (system metrics: duration, tokens, cost) -- Manual correlation required via session ID or timestamps - -**Recommendation**: Use unified Langfuse approach (default) for best experience. Only use separate backends if you have existing observability infrastructure that requires it. - ## Multi-Project Setup -Each project namespace can have its own `ambient-non-vertex-integrations` secret with different Langfuse keys for per-project isolation and cost tracking. +**Platform-wide configuration**: All projects share the same Langfuse instance and keys. + +**Per-project configuration**: Each project namespace can have its own `ambient-non-vertex-integrations` secret with different Langfuse keys for per-project isolation and cost tracking. -## Why Unified Observability? +## Why Langfuse? -**Benefits over separate systems:** +**Benefits of Langfuse for AI observability:** -✅ **Single source of truth**: All traces in one place -✅ **Automatic correlation**: Spans auto-nest via OTEL context propagation -✅ **Simpler setup**: Only Langfuse keys needed -✅ **Better UX**: Langfuse UI designed for LLM observability -✅ **Cost efficiency**: No separate OTEL Collector infrastructure -✅ **Richer insights**: Combine LLM-specific + system-level observability +✅ **LLM-optimized**: Designed specifically for LLM observability with prompt/response tracking +✅ **Simple setup**: Only Langfuse keys needed, no additional infrastructure +✅ **Cost tracking**: Built-in token and cost calculation for Claude API usage +✅ **Rich insights**: Full tool I/O, generation content, and performance metrics +✅ **Easy debugging**: Trace view shows exact sequence of tool calls and responses +✅ **Multi-user support**: Track usage by user_id for cost allocation ## References - Langfuse Documentation: https://langfuse.com/docs -- Langfuse OTLP Integration: https://langfuse.com/integrations/native/opentelemetry -- Langfuse Python SDK v3: https://langfuse.com/changelog/2025-05-23-otel-based-python-sdk -- Ambient Code Observability: See `components/runners/claude-code-runner/wrapper.py` +- Langfuse Python SDK v3: https://langfuse.com/docs/sdk/python +- Ambient Code Observability: See `components/runners/claude-code-runner/observability.py` diff --git a/e2e/langfuse/configmap.yaml b/e2e/langfuse/configmap.yaml deleted file mode 100644 index 86859ce97..000000000 --- a/e2e/langfuse/configmap.yaml +++ /dev/null @@ -1,8 +0,0 @@ -apiVersion: v1 -kind: ConfigMap -metadata: - name: langfuse-config - namespace: ambient-code -data: - LANGFUSE_HOST: "http://langfuse-web.langfuse.svc.cluster.local:3000" - LANGFUSE_ENABLED: "true" diff --git a/e2e/langfuse/secret-template.yaml b/e2e/langfuse/secret-template.yaml deleted file mode 100644 index c0d3bb674..000000000 --- a/e2e/langfuse/secret-template.yaml +++ /dev/null @@ -1,9 +0,0 @@ -apiVersion: v1 -kind: Secret -metadata: - name: langfuse-keys - namespace: ambient-code -type: Opaque -stringData: - LANGFUSE_PUBLIC_KEY: "${LANGFUSE_PUBLIC_KEY}" - LANGFUSE_SECRET_KEY: "${LANGFUSE_SECRET_KEY}" From 202d0a30f291a82bf389397bca5a1f8ba67371d8 Mon Sep 17 00:00:00 2001 From: sallyom Date: Wed, 19 Nov 2025 23:26:07 -0500 Subject: [PATCH 4/5] langfuse instrumentation Signed-off-by: sallyom Co-Authored-By: Claude --- .../claude-code-runner/observability.py | 185 ++++++++++++------ .../runners/claude-code-runner/wrapper.py | 2 +- 2 files changed, 122 insertions(+), 65 deletions(-) diff --git a/components/runners/claude-code-runner/observability.py b/components/runners/claude-code-runner/observability.py index 38fc44f10..abf373e89 100644 --- a/components/runners/claude-code-runner/observability.py +++ b/components/runners/claude-code-runner/observability.py @@ -13,9 +13,6 @@ from security_utils import sanitize_exception_message, with_sync_timeout # Langfuse will be imported lazily only when enabled -# This prevents any potential conflicts with other SDKs (like claude_agent_sdk) -# when Langfuse is not needed - class ObservabilityManager: """Manages Langfuse observability for Claude sessions. @@ -38,7 +35,7 @@ def __init__(self, session_id: str, user_id: str, user_name: str): # Langfuse state self.langfuse_client = None - self.langfuse_span = None + self.langfuse_trace = None # Root trace (not span) self._langfuse_tool_spans: dict[str, Any] = {} async def initialize(self, prompt: str, namespace: str) -> bool: @@ -72,7 +69,6 @@ async def _init_langfuse(self, prompt: str, namespace: str) -> bool: return False # Import langfuse only when it's actually needed - # This prevents potential conflicts with other SDKs when disabled try: from langfuse import Langfuse except ImportError: @@ -134,24 +130,36 @@ async def _init_langfuse(self, prompt: str, namespace: str) -> bool: public_key=public_key, secret_key=secret_key, host=host ) - # Create a ROOT span for this session using start_span() - # (Same API as tool spans - child spans/generations attach automatically) - self.langfuse_span = self.langfuse_client.start_span( + # Create a ROOT SPAN for this session using start_span() (SDK v3 API) + # This automatically creates a trace and serves as the root observation + # All child observations will be nested under this root span + self.langfuse_trace = self.langfuse_client.start_span( name="claude_agent_session", input={"prompt": prompt}, metadata={ - "session_id": self.session_id, "namespace": namespace, - "user_id": self.user_id if self.user_id else None, - "user_name": self.user_name if self.user_name else None, }, ) + # SDK v3: Set trace-level attributes using update_trace() + # These attributes (user_id, session_id, tags) must be set at trace level, + # not in span metadata, for them to appear in Langfuse UI + trace_attrs = { + "session_id": self.session_id, + "tags": ["claude-code", f"namespace:{namespace}"], + } if self.user_id: + trace_attrs["user_id"] = self.user_id logging.info( f"Langfuse: Tracking session for user {self.user_name} ({self.user_id})" ) + # Set trace-level attributes (for filtering/aggregation in Langfuse UI) + self.langfuse_trace.update_trace(**trace_attrs) + + # Also set as span attributes for consistency + self.langfuse_trace.update(**trace_attrs) + logging.info("Langfuse tracing enabled for session") return True @@ -175,7 +183,7 @@ async def _init_langfuse(self, prompt: str, namespace: str) -> bool: # Continue without Langfuse - don't fail the session self.langfuse_client = None - self.langfuse_span = None + self.langfuse_trace = None return False def track_generation(self, message: Any, model: str, turn_count: int) -> None: @@ -186,7 +194,7 @@ def track_generation(self, message: Any, model: str, turn_count: int) -> None: model: Model name (e.g., "claude-3-5-sonnet-20241022") turn_count: Current turn number """ - if not self.langfuse_client or not self.langfuse_span: + if not self.langfuse_client or not self.langfuse_trace: return try: @@ -202,24 +210,41 @@ def track_generation(self, message: Any, model: str, turn_count: int) -> None: if not text_content: return + output_text = "\n".join(text_content) + # Check if message has usage data (it might not on every AssistantMessage) usage_data = getattr(message, "usage", None) - generation_kwargs = { - "name": "claude_response", - "input": {"turn": turn_count}, - "output": {"text": "\n".join(text_content)[:1000]}, # Limit size - "model": model, - "metadata": {"turn": turn_count}, + # Create generation as child of root span (SDK v3 API) + # Start with basic info - we'll update with usage/output next + generation = self.langfuse_trace.start_generation( + name=f"claude_response_turn_{turn_count}", + input=[{"role": "user", "content": f"Turn {turn_count}"}], + model=model, + metadata={"turn": turn_count}, + ) + + # update() with output and usage_details before end() + update_kwargs = { + "output": output_text, } + # Propagate user_id and session_id to each generation for filtering/aggregation + if self.user_id: + update_kwargs["user_id"] = self.user_id + if self.session_id: + update_kwargs["session_id"] = self.session_id + # Add usage_details if available (for Langfuse cost tracking) if usage_data and hasattr(usage_data, "__dict__"): usage_dict = {} if hasattr(usage_data, "input_tokens"): - usage_dict["input"] = usage_data.input_tokens + usage_dict["input_tokens"] = usage_data.input_tokens if hasattr(usage_data, "output_tokens"): - usage_dict["output"] = usage_data.output_tokens + usage_dict["output_tokens"] = usage_data.output_tokens + # Calculate total_tokens if both input and output are present + if "input_tokens" in usage_dict and "output_tokens" in usage_dict: + usage_dict["total_tokens"] = usage_dict["input_tokens"] + usage_dict["output_tokens"] if hasattr(usage_data, "cache_read_input_tokens"): usage_dict["cache_read_input_tokens"] = ( usage_data.cache_read_input_tokens @@ -230,15 +255,18 @@ def track_generation(self, message: Any, model: str, turn_count: int) -> None: ) if usage_dict: - generation_kwargs["usage_details"] = usage_dict + update_kwargs["usage_details"] = usage_dict logging.info( f"Langfuse: Tracking generation with usage: {usage_dict}" ) - # Create generation as child of root span (not root-level) - # This ensures usage/cost data rolls up to the trace - generation = self.langfuse_span.start_generation(**generation_kwargs) + # Update generation with output and usage data + generation.update(**update_kwargs) + + # Then end the generation generation.end() + + logging.debug(f"Langfuse: Created generation for turn {turn_count} with {len(output_text)} chars") except Exception as e: logging.debug(f"Failed to create Langfuse generation: {e}") @@ -252,9 +280,9 @@ def track_tool_use(self, tool_name: str, tool_id: str, tool_input: dict) -> None """ # Add Langfuse span for tool decision as child of root span # This ensures tool usage is properly nested in the trace hierarchy - if self.langfuse_client and self.langfuse_span: + if self.langfuse_client and self.langfuse_trace: try: - tool_span = self.langfuse_span.start_span( + tool_span = self.langfuse_trace.start_span( name=f"tool_{tool_name}", input=tool_input, metadata={ @@ -262,6 +290,16 @@ def track_tool_use(self, tool_name: str, tool_id: str, tool_input: dict) -> None "tool_name": tool_name, }, ) + + # Propagate user_id and session_id to tool span for filtering/aggregation + span_attrs = {} + if self.user_id: + span_attrs["user_id"] = self.user_id + if self.session_id: + span_attrs["session_id"] = self.session_id + if span_attrs: + tool_span.update(**span_attrs) + # Store tool span to update with result later self._langfuse_tool_spans[tool_id] = tool_span except Exception as e: @@ -302,14 +340,14 @@ def track_session_totals(self, result_payload: dict) -> None: Args: result_payload: ResultMessage payload with usage/cost data """ - if not self.langfuse_client or not self.langfuse_span: + if not self.langfuse_client or not self.langfuse_trace: return try: usage = result_payload.get("usage") total_cost = result_payload.get("total_cost_usd") - # Build usage_details dict for Langfuse (proper SDK format) + # Build usage_details dict for Langfuse (proper SDK v3 format) usage_details = {} if usage and hasattr(usage, "__dict__"): input_tokens = getattr(usage, "input_tokens", None) @@ -317,11 +355,14 @@ def track_session_totals(self, result_payload: dict) -> None: total_tokens = getattr(usage, "total_tokens", None) if input_tokens is not None: - usage_details["input"] = input_tokens + usage_details["input_tokens"] = input_tokens if output_tokens is not None: - usage_details["output"] = output_tokens + usage_details["output_tokens"] = output_tokens + # SDK v3 expects 'total_tokens' field (calculate if not provided) if total_tokens is not None: - usage_details["total"] = total_tokens + usage_details["total_tokens"] = total_tokens + elif input_tokens is not None and output_tokens is not None: + usage_details["total_tokens"] = input_tokens + output_tokens # Include cache tokens if available cache_read = getattr(usage, "cache_read_input_tokens", None) @@ -331,12 +372,12 @@ def track_session_totals(self, result_payload: dict) -> None: if cache_creation is not None: usage_details["cache_creation_input_tokens"] = cache_creation - # Build cost_details dict for Langfuse + # Build cost_details dict for Langfuse (SDK v3 uses 'total' not 'total_cost') cost_details = {} if total_cost is not None: - cost_details["total_cost"] = total_cost + cost_details["total"] = total_cost - # Update span with usage and cost data (not just metadata) + # Update trace with usage and cost data (not just metadata) # This ensures proper cost tracking in Langfuse UI update_kwargs = {} if usage_details: @@ -347,7 +388,7 @@ def track_session_totals(self, result_payload: dict) -> None: logging.info(f"Langfuse: Session cost - {cost_details}") if update_kwargs: - self.langfuse_span.update(**update_kwargs) + self.langfuse_trace.update(**update_kwargs) except Exception as e: logging.debug(f"Failed to update Langfuse with session totals: {e}") @@ -358,12 +399,12 @@ async def finalize(self, result_payload: dict | None) -> None: result_payload: ResultMessage payload with final metrics (may be None) """ # Complete Langfuse session span with final results - if self.langfuse_span and self.langfuse_client: + if self.langfuse_trace and self.langfuse_client: try: - # End the span with final output/metadata + # SDK v3 best practice: call update() with data, then end() if result_payload: - # Build usage and cost for span.end() call - end_kwargs = { + # Build update kwargs with output and metadata + update_kwargs = { "output": result_payload, "metadata": { "num_turns": result_payload.get("num_turns", 0), @@ -372,41 +413,57 @@ async def finalize(self, result_payload: dict | None) -> None: }, } - # Add usage_details if present + # Add usage_details if present (SDK v3 format) usage = result_payload.get("usage") if usage and hasattr(usage, "__dict__"): usage_details = {} - if hasattr(usage, "input_tokens") and usage.input_tokens is not None: - usage_details["input"] = usage.input_tokens - if hasattr(usage, "output_tokens") and usage.output_tokens is not None: - usage_details["output"] = usage.output_tokens - if hasattr(usage, "total_tokens") and usage.total_tokens is not None: - usage_details["total"] = usage.total_tokens + input_tokens = getattr(usage, "input_tokens", None) + output_tokens = getattr(usage, "output_tokens", None) + total_tokens = getattr(usage, "total_tokens", None) + + if input_tokens is not None: + usage_details["input_tokens"] = input_tokens + if output_tokens is not None: + usage_details["output_tokens"] = output_tokens + # SDK v3 expects 'total_tokens' field (calculate if not provided) + if total_tokens is not None: + usage_details["total_tokens"] = total_tokens + elif input_tokens is not None and output_tokens is not None: + usage_details["total_tokens"] = input_tokens + output_tokens + + # Include cache tokens if available + cache_read = getattr(usage, "cache_read_input_tokens", None) + cache_creation = getattr(usage, "cache_creation_input_tokens", None) + if cache_read is not None: + usage_details["cache_read_input_tokens"] = cache_read + if cache_creation is not None: + usage_details["cache_creation_input_tokens"] = cache_creation + if usage_details: - end_kwargs["usage_details"] = usage_details + update_kwargs["usage_details"] = usage_details + logging.info(f"Langfuse: Final usage - {usage_details}") - # Add cost_details if present + # Add cost_details if present (SDK v3 uses 'total' not 'total_cost') total_cost = result_payload.get("total_cost_usd") if total_cost is not None: - end_kwargs["cost_details"] = {"total_cost": total_cost} + update_kwargs["cost_details"] = {"total": total_cost} + logging.info(f"Langfuse: Final cost - ${total_cost}") + + # Update span with all data first (SDK v3 best practice) + self.langfuse_trace.update(**update_kwargs) + logging.info("Langfuse span updated with result payload") - self.langfuse_span.end(**end_kwargs) - logging.info("Langfuse span ended with result payload") + # Then end the span (SDK v3 pattern) + self.langfuse_trace.end() + logging.info("Langfuse span ended") else: # No result payload (e.g., git push operations), but still end span - self.langfuse_span.end() + self.langfuse_trace.end() logging.info("Langfuse span ended without result payload") # CRITICAL: Always flush, even if no result payload - # Otherwise traces never appear in Langfuse UI! # Use 30s timeout to handle network latency and batch uploads - # Rationale: - # - Langfuse SDK batches events before HTTP upload - # - Typical sessions: 10-50 events, flush takes 500ms-2s - # - Large sessions: 500+ events can take 5-10s to upload - # - Network latency: cluster-internal ~50ms, external 200-500ms - # - 30s provides 3x-6x safety margin for worst-case scenarios - # - If flush regularly times out, increase timeout or check network/Langfuse health + # If flush regularly times out, increase timeout or check network/Langfuse health success, _ = await with_sync_timeout( self.langfuse_client.flush, 30.0, "Langfuse flush" ) @@ -419,7 +476,7 @@ async def finalize(self, result_payload: dict | None) -> None: "Check network connectivity to LANGFUSE_HOST." ) except Exception as e: - logging.warning(f"Failed to complete Langfuse session span: {e}") + logging.warning(f"Failed to complete Langfuse session trace: {e}") async def cleanup_on_error(self, error: Exception) -> None: """End spans and flush observability data (error path). @@ -428,10 +485,10 @@ async def cleanup_on_error(self, error: Exception) -> None: error: Exception that caused the failure """ # 1. End Langfuse span with error if available - if self.langfuse_span and self.langfuse_client: + if self.langfuse_trace and self.langfuse_client: try: # End span with error status - self.langfuse_span.end(level="ERROR", status_message=str(error)) + self.langfuse_trace.end(level="ERROR", status_message=str(error)) # Flush with 30s timeout (same as success path) success, _ = await with_sync_timeout( self.langfuse_client.flush, 30.0, "Langfuse error cleanup flush" diff --git a/components/runners/claude-code-runner/wrapper.py b/components/runners/claude-code-runner/wrapper.py index b50faad86..4c3963525 100644 --- a/components/runners/claude-code-runner/wrapper.py +++ b/components/runners/claude-code-runner/wrapper.py @@ -602,7 +602,7 @@ async def process_one_prompt(text: str): logging.info("No initial prompt - Claude will greet based on system prompt") else: logging.info("Skipping prompts - SDK resuming with full context") - + # Mark that first run is complete self._first_run = False From bfb09ad2de852308679749c649565ba1a8aa10bb Mon Sep 17 00:00:00 2001 From: sallyom Date: Fri, 21 Nov 2025 06:50:15 -0500 Subject: [PATCH 5/5] fix try --- .../claude-code-runner/observability.py | 514 ++++++++++-------- .../tests/test_observability.py | 141 +++-- e2e/scripts/deploy-langfuse.sh | 1 + 3 files changed, 370 insertions(+), 286 deletions(-) diff --git a/components/runners/claude-code-runner/observability.py b/components/runners/claude-code-runner/observability.py index abf373e89..d487e3a33 100644 --- a/components/runners/claude-code-runner/observability.py +++ b/components/runners/claude-code-runner/observability.py @@ -1,8 +1,27 @@ """ -Observability manager for Claude Code runner. - -Provides Langfuse LLM observability for Claude sessions, -including security features (secret sanitization, timeouts). +Observability manager for Claude Code runner - SDK v3 simplified pattern. + +Provides Langfuse LLM observability for Claude sessions: +- propagate_attributes() context manager sets user_id/session_id/tags in OpenTelemetry context +- update_current_trace() sets trace-level name, input, output, and metadata +- Generations and tool spans are tracked as direct children of the trace +- Security features (secret sanitization, timeouts) + +SDK v3 CORRECT pattern: +1. propagate_attributes() context sets user_id/session_id/tags in OpenTelemetry context +2. start_as_current_span() creates root span to establish the trace (REQUIRED!) +3. update_current_trace() sets trace-level metadata (visible in UI) +4. Generations and tool spans created via start_as_current_generation() and start_as_current_span() +5. All child observations automatically inherit user_id/session_id/tags from propagate_attributes() +6. Usage data tracked in trace metadata for visibility +7. Summary generation with Anthropic-specific usage_details enables auto-cost calculation + +Anthropic-specific cost tracking: +- Claude SDK only provides session-level usage in ResultMessage (no per-turn usage) +- We create a "session_summary" generation at the end with all usage data +- usage_details fields (input_tokens, output_tokens, cache_read_input_tokens, cache_creation_input_tokens) +- Langfuse automatically calculates costs using configured Claude model pricing +- Reference: https://langfuse.com/docs/observability/features/token-and-cost-tracking """ import os @@ -19,6 +38,20 @@ class ObservabilityManager: Handles initialization, event tracking, and cleanup for Langfuse with security features (secret sanitization, timeouts). + + SDK v3 CORRECT approach: + - propagate_attributes() context manager sets user_id/session_id/tags in OTel context + - start_as_current_span() creates root span to establish the trace (REQUIRED!) + - update_current_trace() sets trace-level metadata + - Generations and tool spans are created as children of the root span + - All child observations automatically inherit user_id/session_id/tags + - Usage data tracked in trace metadata for visibility + - Summary generation with Anthropic-specific usage_details enables auto-cost calculation + + Anthropic cost tracking: + - Claude SDK only provides session-level usage (no per-turn data) + - finalize() creates "session_summary" generation with usage_details + - Langfuse auto-calculates costs using configured Claude model pricing """ def __init__(self, session_id: str, user_id: str, user_name: str): @@ -35,9 +68,13 @@ def __init__(self, session_id: str, user_id: str, user_name: str): # Langfuse state self.langfuse_client = None - self.langfuse_trace = None # Root trace (not span) + self._propagate_ctx = None # propagate_attributes() context manager + self._root_span_ctx = None # Root span context manager self._langfuse_tool_spans: dict[str, Any] = {} + # Track configured model for usage_details in summary generation + self.configured_model = None + async def initialize(self, prompt: str, namespace: str) -> bool: """Initialize Langfuse observability. @@ -53,6 +90,8 @@ async def initialize(self, prompt: str, namespace: str) -> bool: async def _init_langfuse(self, prompt: str, namespace: str) -> bool: """Initialize Langfuse observability with security checks. + Sets up propagate_attributes() context and updates trace metadata. + Args: prompt: Initial prompt for the session namespace: Kubernetes namespace for the session @@ -126,40 +165,56 @@ async def _init_langfuse(self, prompt: str, namespace: str) -> bool: return False try: + # Import propagate_attributes for SDK v3 pattern + from langfuse import propagate_attributes + + # Initialize Langfuse client self.langfuse_client = Langfuse( public_key=public_key, secret_key=secret_key, host=host ) - # Create a ROOT SPAN for this session using start_span() (SDK v3 API) - # This automatically creates a trace and serves as the root observation - # All child observations will be nested under this root span - self.langfuse_trace = self.langfuse_client.start_span( + trace_tags = ["claude-code", f"namespace:{namespace}"] + + # SDK v3 CORRECT pattern: + # 1. Enter propagate_attributes() context (sets user_id/session_id/tags in OTel context) + # 2. Create a root span/observation to establish the trace + # 3. Update the trace with metadata + # 4. All child generations/tool spans automatically inherit user_id/session_id/tags + + # Step 1: Enter propagate_attributes context (WITHOUT metadata - keep under 200 chars) + # Only session-level attributes that apply to ALL observations + self._propagate_ctx = propagate_attributes( + user_id=self.user_id, + session_id=self.session_id, + tags=trace_tags + ) + self._propagate_ctx.__enter__() + + # Step 2: Create root span to establish the trace + # This is REQUIRED for update_current_trace() to work + self._root_span_ctx = self.langfuse_client.start_as_current_span( name="claude_agent_session", - input={"prompt": prompt}, - metadata={ - "namespace": namespace, - }, + input={"prompt": prompt[:1000] if len(prompt) > 1000 else prompt}, + metadata={"namespace": namespace, "user_name": self.user_name} + ) + self._root_span_ctx.__enter__() + + # Step 3: Update trace-level attributes + # This sets metadata visible at the trace level in Langfuse UI + self.langfuse_client.update_current_trace( + name="claude_agent_session", + metadata={"namespace": namespace, "user_name": self.user_name} ) - # SDK v3: Set trace-level attributes using update_trace() - # These attributes (user_id, session_id, tags) must be set at trace level, - # not in span metadata, for them to appear in Langfuse UI - trace_attrs = { - "session_id": self.session_id, - "tags": ["claude-code", f"namespace:{namespace}"], - } if self.user_id: - trace_attrs["user_id"] = self.user_id logging.info( f"Langfuse: Tracking session for user {self.user_name} ({self.user_id})" ) - # Set trace-level attributes (for filtering/aggregation in Langfuse UI) - self.langfuse_trace.update_trace(**trace_attrs) - - # Also set as span attributes for consistency - self.langfuse_trace.update(**trace_attrs) - + logging.info( + f"Langfuse: Trace initialized with propagate_attributes - " + f"user_id={self.user_id}, session_id={self.session_id}, tags={trace_tags}" + ) logging.info("Langfuse tracing enabled for session") return True @@ -181,127 +236,118 @@ async def _init_langfuse(self, prompt: str, namespace: str) -> bool: ) logging.debug(f"Langfuse initialization error type: {type(e).__name__}") + # Cleanup any partially initialized state + if self._root_span_ctx: + try: + self._root_span_ctx.__exit__(None, None, None) + except Exception: + pass + if self._propagate_ctx: + try: + self._propagate_ctx.__exit__(None, None, None) + except Exception: + pass + # Continue without Langfuse - don't fail the session self.langfuse_client = None - self.langfuse_trace = None + self._propagate_ctx = None + self._root_span_ctx = None return False def track_generation(self, message: Any, model: str, turn_count: int) -> None: - """Track Claude generation in Langfuse. + """Track Claude generation in Langfuse using SDK v3 start_as_current_generation(). + + User_id, session_id, and tags are automatically inherited via propagate_attributes(). + + NOTE: AssistantMessage does NOT contain usage data. Usage tracking happens in finalize() + when we receive the ResultMessage with session-level usage metrics. Args: message: AssistantMessage from Claude SDK model: Model name (e.g., "claude-3-5-sonnet-20241022") turn_count: Current turn number """ - if not self.langfuse_client or not self.langfuse_trace: + if not self.langfuse_client: + logging.debug(f"Langfuse: Skipping generation tracking - client not initialized") return + # Store configured model for use in summary generation + if not self.configured_model: + self.configured_model = model + logging.debug(f"Langfuse: Captured configured model: {model}") + + logging.debug(f"Langfuse: track_generation called for turn {turn_count}, model={model}") try: # Import here to avoid circular dependency from claude_agent_sdk import TextBlock - # Extract text content and usage data for generation + # Extract text content for generation text_content = [] - for blk in getattr(message, "content", []) or []: + message_content = getattr(message, "content", []) or [] + logging.debug(f"Langfuse: Processing message with {len(message_content)} content blocks") + for blk in message_content: if isinstance(blk, TextBlock): text_content.append(getattr(blk, "text", "")) + else: + logging.debug(f"Langfuse: Skipping non-TextBlock: {type(blk).__name__}") if not text_content: + logging.debug(f"Langfuse: No text content found in message, skipping generation tracking") return output_text = "\n".join(text_content) + logging.debug(f"Langfuse: Extracted {len(output_text)} chars of output text") - # Check if message has usage data (it might not on every AssistantMessage) - usage_data = getattr(message, "usage", None) + # SDK v3 pattern: Use client.start_as_current_generation() + # This creates a generation as a direct child of the trace + # User_id/session_id/tags automatically inherited via propagate_attributes() + logging.debug(f"Langfuse: Creating generation for turn {turn_count}") - # Create generation as child of root span (SDK v3 API) - # Start with basic info - we'll update with usage/output next - generation = self.langfuse_trace.start_generation( + gen_ctx = self.langfuse_client.start_as_current_generation( name=f"claude_response_turn_{turn_count}", input=[{"role": "user", "content": f"Turn {turn_count}"}], model=model, - metadata={"turn": turn_count}, + metadata={"turn": turn_count} ) + generation = gen_ctx.__enter__() - # update() with output and usage_details before end() - update_kwargs = { - "output": output_text, - } - - # Propagate user_id and session_id to each generation for filtering/aggregation - if self.user_id: - update_kwargs["user_id"] = self.user_id - if self.session_id: - update_kwargs["session_id"] = self.session_id - - # Add usage_details if available (for Langfuse cost tracking) - if usage_data and hasattr(usage_data, "__dict__"): - usage_dict = {} - if hasattr(usage_data, "input_tokens"): - usage_dict["input_tokens"] = usage_data.input_tokens - if hasattr(usage_data, "output_tokens"): - usage_dict["output_tokens"] = usage_data.output_tokens - # Calculate total_tokens if both input and output are present - if "input_tokens" in usage_dict and "output_tokens" in usage_dict: - usage_dict["total_tokens"] = usage_dict["input_tokens"] + usage_dict["output_tokens"] - if hasattr(usage_data, "cache_read_input_tokens"): - usage_dict["cache_read_input_tokens"] = ( - usage_data.cache_read_input_tokens - ) - if hasattr(usage_data, "cache_creation_input_tokens"): - usage_dict["cache_creation_input_tokens"] = ( - usage_data.cache_creation_input_tokens - ) - - if usage_dict: - update_kwargs["usage_details"] = usage_dict - logging.info( - f"Langfuse: Tracking generation with usage: {usage_dict}" - ) - - # Update generation with output and usage data - generation.update(**update_kwargs) + # Update with output (usage will be added in finalize when we get ResultMessage) + generation.update(output=output_text) - # Then end the generation - generation.end() + # End the generation + gen_ctx.__exit__(None, None, None) - logging.debug(f"Langfuse: Created generation for turn {turn_count} with {len(output_text)} chars") + logging.info(f"Langfuse: Tracked generation for turn {turn_count} with {len(output_text)} chars (usage pending)") except Exception as e: - logging.debug(f"Failed to create Langfuse generation: {e}") + logging.error(f"Langfuse: Failed to create generation: {e}", exc_info=True) def track_tool_use(self, tool_name: str, tool_id: str, tool_input: dict) -> None: - """Track tool decision in Langfuse. + """Track tool decision in Langfuse using SDK v3 start_as_current_span(). + + User_id, session_id, and tags are automatically inherited via propagate_attributes(). Args: tool_name: Name of the tool being used tool_id: Unique tool use ID tool_input: Tool input parameters """ - # Add Langfuse span for tool decision as child of root span - # This ensures tool usage is properly nested in the trace hierarchy - if self.langfuse_client and self.langfuse_trace: + if self.langfuse_client: try: - tool_span = self.langfuse_trace.start_span( + # SDK v3 pattern: Use client.start_as_current_span() + # This creates a span as a direct child of the trace + # User_id/session_id/tags automatically inherited via propagate_attributes() + # Store context manager to update with result later (in track_tool_result) + tool_span_ctx = self.langfuse_client.start_as_current_span( name=f"tool_{tool_name}", input=tool_input, metadata={ "tool_id": tool_id, "tool_name": tool_name, - }, + } ) - - # Propagate user_id and session_id to tool span for filtering/aggregation - span_attrs = {} - if self.user_id: - span_attrs["user_id"] = self.user_id - if self.session_id: - span_attrs["session_id"] = self.session_id - if span_attrs: - tool_span.update(**span_attrs) - - # Store tool span to update with result later - self._langfuse_tool_spans[tool_id] = tool_span + # Enter context and store both context manager and span object + tool_span = tool_span_ctx.__enter__() + self._langfuse_tool_spans[tool_id] = (tool_span_ctx, tool_span) except Exception as e: logging.debug(f"Failed to create Langfuse tool span: {e}") @@ -316,7 +362,7 @@ def track_tool_result(self, tool_use_id: str, content: Any, is_error: bool) -> N # Update Langfuse tool span with result if tool_use_id in self._langfuse_tool_spans: try: - tool_span = self._langfuse_tool_spans[tool_use_id] + tool_span_ctx, tool_span = self._langfuse_tool_spans[tool_use_id] # Truncate long results with indicator if content: result_text = str(content) @@ -325,145 +371,144 @@ def track_tool_result(self, tool_use_id: str, content: Any, is_error: bool) -> N else: result_text = "No output" - tool_span.end( + # SDK v3 pattern: Update span then exit context manager + tool_span.update( output={"result": result_text}, level="ERROR" if is_error else "DEFAULT", - metadata={"is_error": is_error or False}, + metadata={"is_error": is_error or False} ) + + # Exit the context manager (ends the span) + tool_span_ctx.__exit__(None, None, None) del self._langfuse_tool_spans[tool_use_id] except Exception as e: logging.debug(f"Failed to update Langfuse tool span: {e}") - def track_session_totals(self, result_payload: dict) -> None: - """Track session-level cost and usage in Langfuse. - - Args: - result_payload: ResultMessage payload with usage/cost data - """ - if not self.langfuse_client or not self.langfuse_trace: - return - - try: - usage = result_payload.get("usage") - total_cost = result_payload.get("total_cost_usd") - - # Build usage_details dict for Langfuse (proper SDK v3 format) - usage_details = {} - if usage and hasattr(usage, "__dict__"): - input_tokens = getattr(usage, "input_tokens", None) - output_tokens = getattr(usage, "output_tokens", None) - total_tokens = getattr(usage, "total_tokens", None) - - if input_tokens is not None: - usage_details["input_tokens"] = input_tokens - if output_tokens is not None: - usage_details["output_tokens"] = output_tokens - # SDK v3 expects 'total_tokens' field (calculate if not provided) - if total_tokens is not None: - usage_details["total_tokens"] = total_tokens - elif input_tokens is not None and output_tokens is not None: - usage_details["total_tokens"] = input_tokens + output_tokens - - # Include cache tokens if available - cache_read = getattr(usage, "cache_read_input_tokens", None) - cache_creation = getattr(usage, "cache_creation_input_tokens", None) - if cache_read is not None: - usage_details["cache_read_input_tokens"] = cache_read - if cache_creation is not None: - usage_details["cache_creation_input_tokens"] = cache_creation - - # Build cost_details dict for Langfuse (SDK v3 uses 'total' not 'total_cost') - cost_details = {} - if total_cost is not None: - cost_details["total"] = total_cost - - # Update trace with usage and cost data (not just metadata) - # This ensures proper cost tracking in Langfuse UI - update_kwargs = {} - if usage_details: - update_kwargs["usage_details"] = usage_details - logging.info(f"Langfuse: Session usage - {usage_details}") - if cost_details: - update_kwargs["cost_details"] = cost_details - logging.info(f"Langfuse: Session cost - {cost_details}") - - if update_kwargs: - self.langfuse_trace.update(**update_kwargs) - except Exception as e: - logging.debug(f"Failed to update Langfuse with session totals: {e}") - async def finalize(self, result_payload: dict | None) -> None: - """End spans and flush observability data (success path). + """Finalize trace and flush observability data (success path). + + Updates trace with final metrics and exits propagate_attributes context. Args: result_payload: ResultMessage payload with final metrics (may be None) + Expected structure: { + "num_turns": int, + "duration_ms": int, + "total_cost_usd": float, + "subtype": str, + "usage": { + "input_tokens": int, + "output_tokens": int, + "total_tokens": int, + "cache_read_input_tokens": int, + "cache_creation_input_tokens": int + } + } """ - # Complete Langfuse session span with final results - if self.langfuse_trace and self.langfuse_client: + logging.debug(f"Langfuse: finalize() called with result_payload={result_payload is not None}") + + # Cleanup and flush + if self.langfuse_client: + logging.debug(f"Langfuse: Finalizing trace") try: - # SDK v3 best practice: call update() with data, then end() + # Update trace with final metadata if we have results if result_payload: - # Build update kwargs with output and metadata - update_kwargs = { - "output": result_payload, - "metadata": { - "num_turns": result_payload.get("num_turns", 0), - "duration_ms": result_payload.get("duration_ms"), - "subtype": result_payload.get("subtype"), - }, + # Extract usage data from ResultMessage + usage_data = result_payload.get("usage") + + # Build usage dict for metadata + usage_dict = None + if usage_data and isinstance(usage_data, dict): + usage_dict = { + "input_tokens": usage_data.get("input_tokens", 0), + "output_tokens": usage_data.get("output_tokens", 0), + "total_tokens": usage_data.get("total_tokens", 0), + "cache_read_input_tokens": usage_data.get("cache_read_input_tokens", 0), + "cache_creation_input_tokens": usage_data.get("cache_creation_input_tokens", 0), + } + logging.info(f"Langfuse: Extracted usage from ResultMessage for metadata: {usage_dict}") + + # Update the trace with output and metadata including usage + trace_metadata = { + "num_turns": result_payload.get("num_turns"), + "duration_ms": result_payload.get("duration_ms"), + "total_cost_usd": result_payload.get("total_cost_usd"), + "subtype": result_payload.get("subtype"), } - # Add usage_details if present (SDK v3 format) - usage = result_payload.get("usage") - if usage and hasattr(usage, "__dict__"): - usage_details = {} - input_tokens = getattr(usage, "input_tokens", None) - output_tokens = getattr(usage, "output_tokens", None) - total_tokens = getattr(usage, "total_tokens", None) - - if input_tokens is not None: - usage_details["input_tokens"] = input_tokens - if output_tokens is not None: - usage_details["output_tokens"] = output_tokens - # SDK v3 expects 'total_tokens' field (calculate if not provided) - if total_tokens is not None: - usage_details["total_tokens"] = total_tokens - elif input_tokens is not None and output_tokens is not None: - usage_details["total_tokens"] = input_tokens + output_tokens - - # Include cache tokens if available - cache_read = getattr(usage, "cache_read_input_tokens", None) - cache_creation = getattr(usage, "cache_creation_input_tokens", None) - if cache_read is not None: - usage_details["cache_read_input_tokens"] = cache_read - if cache_creation is not None: - usage_details["cache_creation_input_tokens"] = cache_creation - - if usage_details: - update_kwargs["usage_details"] = usage_details - logging.info(f"Langfuse: Final usage - {usage_details}") - - # Add cost_details if present (SDK v3 uses 'total' not 'total_cost') - total_cost = result_payload.get("total_cost_usd") - if total_cost is not None: - update_kwargs["cost_details"] = {"total": total_cost} - logging.info(f"Langfuse: Final cost - ${total_cost}") - - # Update span with all data first (SDK v3 best practice) - self.langfuse_trace.update(**update_kwargs) - logging.info("Langfuse span updated with result payload") - - # Then end the span (SDK v3 pattern) - self.langfuse_trace.end() - logging.info("Langfuse span ended") - else: - # No result payload (e.g., git push operations), but still end span - self.langfuse_trace.end() - logging.info("Langfuse span ended without result payload") + # Add usage to metadata for visibility + if usage_dict: + trace_metadata["usage"] = usage_dict + logging.info(f"Langfuse: Adding usage to trace metadata: {usage_dict}") - # CRITICAL: Always flush, even if no result payload + self.langfuse_client.update_current_trace( + output=result_payload, + metadata=trace_metadata + ) + logging.info("Langfuse: Updated trace with final metrics and usage") + + # CRITICAL: Create a summary generation with usage_details for Anthropic-specific cost calculation + # This enables Langfuse to automatically calculate costs using custom Claude model pricing + # Reference: https://langfuse.com/docs/observability/features/token-and-cost-tracking + if usage_dict: + logging.info("Langfuse: Creating summary generation with Anthropic-specific usage_details for auto-cost calculation") + try: + # Use the model captured from track_generation() calls + # Falls back to environment variable if no generations were tracked + model_name = self.configured_model or os.getenv('LLM_MODEL', 'claude-3-5-sonnet-20241022') + + # Create summary generation with Anthropic-specific usage_details + # Langfuse expects: input_tokens, output_tokens, cache_read_input_tokens + gen_ctx = self.langfuse_client.start_as_current_generation( + name="session_summary", + model=model_name, + input=[{"role": "system", "content": "Session usage summary"}], + metadata={ + "summary": True, + "num_turns": result_payload.get("num_turns"), + "duration_ms": result_payload.get("duration_ms"), + } + ) + generation = gen_ctx.__enter__() + + # Update with output and Anthropic-specific usage_details + # Field names match Anthropic API response format + generation.update( + output=f"Session completed with {result_payload.get('num_turns')} turns", + usage_details={ + "input_tokens": usage_dict.get("input_tokens", 0), + "output_tokens": usage_dict.get("output_tokens", 0), + "cache_read_input_tokens": usage_dict.get("cache_read_input_tokens", 0), + # Include cache creation tokens if available + "cache_creation_input_tokens": usage_dict.get("cache_creation_input_tokens", 0), + } + ) + + # End the generation + gen_ctx.__exit__(None, None, None) + + logging.info( + f"Langfuse: Created session_summary generation with usage_details: " + f"input={usage_dict.get('input_tokens', 0)}, " + f"output={usage_dict.get('output_tokens', 0)}, " + f"cache_read={usage_dict.get('cache_read_input_tokens', 0)}, " + f"cache_creation={usage_dict.get('cache_creation_input_tokens', 0)} " + f"for model {model_name}. " + f"Langfuse will automatically calculate cost using custom model pricing." + ) + except Exception as gen_err: + logging.error(f"Langfuse: Failed to create summary generation with usage_details: {gen_err}", exc_info=True) + + # Exit contexts in reverse order (root span first, then propagate_attributes) + if self._root_span_ctx: + self._root_span_ctx.__exit__(None, None, None) + logging.info("Langfuse root span context exited") + if self._propagate_ctx: + self._propagate_ctx.__exit__(None, None, None) + logging.info("Langfuse propagate_attributes context exited") + + # Flush to ensure all data is sent # Use 30s timeout to handle network latency and batch uploads - # If flush regularly times out, increase timeout or check network/Langfuse health success, _ = await with_sync_timeout( self.langfuse_client.flush, 30.0, "Langfuse flush" ) @@ -476,19 +521,34 @@ async def finalize(self, result_payload: dict | None) -> None: "Check network connectivity to LANGFUSE_HOST." ) except Exception as e: - logging.warning(f"Failed to complete Langfuse session trace: {e}") + logging.error(f"Failed to complete Langfuse session trace: {e}", exc_info=True) async def cleanup_on_error(self, error: Exception) -> None: - """End spans and flush observability data (error path). + """Finalize trace on error and flush observability data (error path). + + Updates trace with error details and exits propagate_attributes context. Args: error: Exception that caused the failure """ - # 1. End Langfuse span with error if available - if self.langfuse_trace and self.langfuse_client: + # Cleanup and flush + if self.langfuse_client: try: - # End span with error status - self.langfuse_trace.end(level="ERROR", status_message=str(error)) + # Update trace with error details + self.langfuse_client.update_current_trace( + output={"error": str(error)}, + metadata={"error_type": type(error).__name__} + ) + logging.debug("Langfuse: Marked trace as ERROR") + + # Exit contexts in reverse order (root span first, then propagate_attributes) + if self._root_span_ctx: + self._root_span_ctx.__exit__(None, None, None) + logging.info("Langfuse root span context exited (error path)") + if self._propagate_ctx: + self._propagate_ctx.__exit__(None, None, None) + logging.info("Langfuse propagate_attributes context exited (error path)") + # Flush with 30s timeout (same as success path) success, _ = await with_sync_timeout( self.langfuse_client.flush, 30.0, "Langfuse error cleanup flush" @@ -499,4 +559,4 @@ async def cleanup_on_error(self, error: Exception) -> None: "error trace may not be sent." ) except Exception as cleanup_err: - logging.debug(f"Failed to cleanup Langfuse span: {cleanup_err}") + logging.error(f"Failed to cleanup Langfuse trace: {cleanup_err}", exc_info=True) diff --git a/components/runners/claude-code-runner/tests/test_observability.py b/components/runners/claude-code-runner/tests/test_observability.py index eebc22277..0a559dded 100644 --- a/components/runners/claude-code-runner/tests/test_observability.py +++ b/components/runners/claude-code-runner/tests/test_observability.py @@ -9,13 +9,16 @@ @pytest.fixture def mock_langfuse_client(): - """Create mock Langfuse client.""" + """Create mock Langfuse client for SDK v3.""" mock_client = Mock() - mock_span = Mock() - mock_client.start_span.return_value = mock_span - mock_client.start_generation.return_value = Mock() + mock_trace = Mock() + # SDK v3 uses client.trace() to create trace object + mock_client.trace.return_value = mock_trace mock_client.flush = Mock() - return mock_client, mock_span + # trace.generation() and trace.span() return observation objects + mock_trace.generation.return_value = Mock() + mock_trace.span.return_value = Mock() + return mock_client, mock_trace @pytest.fixture @@ -39,7 +42,7 @@ def test_init_sets_properties(self): assert manager.user_id == "user-1" assert manager.user_name == "John Doe" assert manager.langfuse_client is None - assert manager.langfuse_span is None + assert manager.langfuse_trace is None assert manager._langfuse_tool_spans == {} @@ -122,13 +125,14 @@ async def test_init_missing_host(self, manager, caplog): assert "LANGFUSE_HOST is missing" in caplog.text @pytest.mark.asyncio - @patch("observability.LANGFUSE_AVAILABLE", True) - @patch("observability.Langfuse") + @patch("langfuse.Langfuse") async def test_init_successful(self, mock_langfuse_class, manager, caplog): - """Test successful Langfuse initialization.""" + """Test successful Langfuse initialization with SDK v3 trace() pattern.""" mock_client = Mock() - mock_span = Mock() - mock_client.start_span.return_value = mock_span + mock_trace = Mock() + + # Mock client.trace() method (SDK v3 correct pattern) + mock_client.trace.return_value = mock_trace mock_langfuse_class.return_value = mock_client env_vars = { @@ -144,23 +148,34 @@ async def test_init_successful(self, mock_langfuse_class, manager, caplog): assert result is True assert manager.langfuse_client is not None - assert manager.langfuse_span is not None + assert manager.langfuse_trace is not None + mock_langfuse_class.assert_called_once_with( public_key="pk-lf-public", secret_key="sk-lf-secret", host="http://localhost:3000", ) - mock_client.start_span.assert_called_once() + + # Verify client.trace() was called with correct params + mock_client.trace.assert_called_once() + call_kwargs = mock_client.trace.call_args[1] + assert call_kwargs["name"] == "claude_agent_session" + assert call_kwargs["user_id"] == manager.user_id + assert call_kwargs["session_id"] == manager.session_id + assert "claude-code" in call_kwargs["tags"] + assert call_kwargs["input"] == {"prompt": "test prompt"} + assert "Langfuse tracing enabled" in caplog.text @pytest.mark.asyncio - @patch("observability.LANGFUSE_AVAILABLE", True) - @patch("observability.Langfuse") + @patch("langfuse.Langfuse") async def test_init_with_user_tracking(self, mock_langfuse_class, caplog): """Test Langfuse initialization with user tracking.""" mock_client = Mock() - mock_span = Mock() - mock_client.start_span.return_value = mock_span + mock_trace = Mock() + + # Mock client.trace() method + mock_client.trace.return_value = mock_trace mock_langfuse_class.return_value = mock_client manager = ObservabilityManager( @@ -182,8 +197,7 @@ async def test_init_with_user_tracking(self, mock_langfuse_class, caplog): assert "Tracking session for user Jane Doe (user-123)" in caplog.text @pytest.mark.asyncio - @patch("observability.LANGFUSE_AVAILABLE", True) - @patch("observability.Langfuse") + @patch("langfuse.Langfuse") async def test_init_langfuse_exception(self, mock_langfuse_class, manager, caplog): """Test Langfuse initialization when SDK raises exception.""" mock_langfuse_class.side_effect = Exception("Connection failed") @@ -201,13 +215,12 @@ async def test_init_langfuse_exception(self, mock_langfuse_class, manager, caplo assert result is False assert manager.langfuse_client is None - assert manager.langfuse_span is None + assert manager.langfuse_trace is None assert "Langfuse initialization failed" in caplog.text assert "Observability will be disabled" in caplog.text @pytest.mark.asyncio - @patch("observability.LANGFUSE_AVAILABLE", True) - @patch("observability.Langfuse") + @patch("langfuse.Langfuse") async def test_init_sanitizes_api_keys_in_error( self, mock_langfuse_class, manager, caplog ): @@ -242,7 +255,7 @@ def test_track_generation_no_client(self, manager): def test_track_generation_graceful_failure(self, manager): """Test track_generation handles exceptions gracefully.""" manager.langfuse_client = Mock() - manager.langfuse_span = Mock() + manager.langfuse_trace = Mock() manager.langfuse_client.start_generation.side_effect = Exception("Test error") # Create message that will trigger the code path @@ -261,21 +274,23 @@ def test_track_tool_use_no_client(self, manager): # Should not raise exception manager.track_tool_use("Read", "tool-123", {"file": "test.txt"}) - @patch("observability.Langfuse") - def test_track_tool_use_creates_span(self, mock_langfuse_class): - """Test track_tool_use creates tool span.""" + def test_track_tool_use_creates_span(self, manager): + """Test track_tool_use creates tool span with SDK v3 trace.span() pattern.""" mock_client = Mock() + mock_trace = Mock() mock_tool_span = Mock() - mock_client.start_span.return_value = mock_tool_span - manager = ObservabilityManager("session-1", "user-1", "User") + # Mock trace.span() method (SDK v3 correct pattern) + mock_trace.span.return_value = mock_tool_span + manager.langfuse_client = mock_client - manager.langfuse_span = Mock() + manager.langfuse_trace = mock_trace tool_input = {"file_path": "/test/file.txt"} manager.track_tool_use("Read", "tool-456", tool_input) - mock_client.start_span.assert_called_once_with( + # Verify trace.span() was called with correct params + mock_trace.span.assert_called_once_with( name="tool_Read", input=tool_input, metadata={ @@ -283,6 +298,7 @@ def test_track_tool_use_creates_span(self, mock_langfuse_class): "tool_name": "Read", }, ) + assert "tool-456" in manager._langfuse_tool_spans assert manager._langfuse_tool_spans["tool-456"] == mock_tool_span @@ -307,11 +323,15 @@ def test_track_tool_result_success(self, mock_langfuse_class): manager.track_tool_result("tool-123", "File contents", is_error=False) - mock_tool_span.end.assert_called_once() - call_kwargs = mock_tool_span.end.call_args[1] + # SDK v3: Uses update() then end() + mock_tool_span.update.assert_called_once() + call_kwargs = mock_tool_span.update.call_args[1] assert call_kwargs["level"] == "DEFAULT" assert "File contents" in call_kwargs["output"]["result"] assert call_kwargs["metadata"]["is_error"] is False + + # Verify span.end() was called + mock_tool_span.end.assert_called_once() assert "tool-123" not in manager._langfuse_tool_spans @patch("observability.Langfuse") @@ -326,11 +346,15 @@ def test_track_tool_result_error(self, mock_langfuse_class): manager.track_tool_result("tool-123", "Error: File not found", is_error=True) - mock_tool_span.end.assert_called_once() - call_kwargs = mock_tool_span.end.call_args[1] + # SDK v3: Uses update() then end() + mock_tool_span.update.assert_called_once() + call_kwargs = mock_tool_span.update.call_args[1] assert call_kwargs["level"] == "ERROR" assert call_kwargs["metadata"]["is_error"] is True + # Verify span.end() was called + mock_tool_span.end.assert_called_once() + class TestFinalize: """Tests for finalize method.""" @@ -344,15 +368,15 @@ async def test_finalize_no_client(self, manager): @pytest.mark.asyncio @patch("observability.with_sync_timeout") async def test_finalize_with_result_payload(self, mock_timeout): - """Test finalize with result payload.""" + """Test finalize with result payload (SDK v3 trace pattern).""" mock_timeout.return_value = (True, None) mock_client = Mock() - mock_span = Mock() + mock_trace = Mock() manager = ObservabilityManager("session-1", "user-1", "User") manager.langfuse_client = mock_client - manager.langfuse_span = mock_span + manager.langfuse_trace = mock_trace result_payload = { "num_turns": 5, @@ -363,11 +387,12 @@ async def test_finalize_with_result_payload(self, mock_timeout): await manager.finalize(result_payload) - mock_span.end.assert_called_once() - call_kwargs = mock_span.end.call_args[1] + # SDK v3: Verify trace.update() was called with result payload + mock_trace.update.assert_called_once() + call_kwargs = mock_trace.update.call_args[1] assert call_kwargs["output"] == result_payload - assert call_kwargs["metadata"]["num_turns"] == 5 - assert call_kwargs["metadata"]["total_cost_usd"] == 0.01234 + assert "num_turns" in call_kwargs["metadata"] + assert "total_cost_usd" in call_kwargs["metadata"] # Verify flush was called mock_timeout.assert_called_once() @@ -375,23 +400,20 @@ async def test_finalize_with_result_payload(self, mock_timeout): @pytest.mark.asyncio @patch("observability.with_sync_timeout") async def test_finalize_without_result_payload(self, mock_timeout, caplog): - """Test finalize without result payload (e.g., git push).""" + """Test finalize without result payload (e.g., git push) - SDK v3.""" mock_timeout.return_value = (True, None) mock_client = Mock() - mock_span = Mock() + mock_trace = Mock() manager = ObservabilityManager("session-1", "user-1", "User") manager.langfuse_client = mock_client - manager.langfuse_span = mock_span + manager.langfuse_trace = mock_trace with caplog.at_level(logging.INFO): await manager.finalize(None) - mock_span.end.assert_called_once_with() # Called without args - assert "ended without result payload" in caplog.text - - # Verify flush was still called + # Verify flush was still called (no update when no result_payload) mock_timeout.assert_called_once() @pytest.mark.asyncio @@ -401,13 +423,13 @@ async def test_finalize_flush_timeout(self, mock_timeout, caplog): mock_timeout.return_value = (False, None) # Timeout mock_client = Mock() - mock_span = Mock() + mock_trace = Mock() manager = ObservabilityManager("session-1", "user-1", "User") manager.langfuse_client = mock_client - manager.langfuse_span = mock_span + manager.langfuse_trace = mock_trace - with caplog.at_level(logging.WARNING): + with caplog.at_level(logging.ERROR): await manager.finalize({"num_turns": 1}) assert "flush timed out" in caplog.text @@ -425,21 +447,22 @@ async def test_cleanup_no_client(self, manager): @pytest.mark.asyncio @patch("observability.with_sync_timeout") async def test_cleanup_on_error(self, mock_timeout): - """Test cleanup_on_error ends span with error.""" + """Test cleanup_on_error marks trace as error (SDK v3).""" mock_timeout.return_value = (True, None) mock_client = Mock() - mock_span = Mock() + mock_trace = Mock() manager = ObservabilityManager("session-1", "user-1", "User") manager.langfuse_client = mock_client - manager.langfuse_span = mock_span + manager.langfuse_trace = mock_trace error = ValueError("Session failed") await manager.cleanup_on_error(error) - mock_span.end.assert_called_once() - call_kwargs = mock_span.end.call_args[1] + # SDK v3: Verify trace.update() was called with error info + mock_trace.update.assert_called_once() + call_kwargs = mock_trace.update.call_args[1] assert call_kwargs["level"] == "ERROR" assert call_kwargs["status_message"] == "Session failed" @@ -453,13 +476,13 @@ async def test_cleanup_flush_timeout(self, mock_timeout, caplog): mock_timeout.return_value = (False, None) # Timeout mock_client = Mock() - mock_span = Mock() + mock_trace = Mock() manager = ObservabilityManager("session-1", "user-1", "User") manager.langfuse_client = mock_client - manager.langfuse_span = mock_span + manager.langfuse_trace = mock_trace - with caplog.at_level(logging.DEBUG): + with caplog.at_level(logging.ERROR): await manager.cleanup_on_error(ValueError("test")) assert "error cleanup flush timed out" in caplog.text diff --git a/e2e/scripts/deploy-langfuse.sh b/e2e/scripts/deploy-langfuse.sh index 5ab23f261..610ab6fde 100755 --- a/e2e/scripts/deploy-langfuse.sh +++ b/e2e/scripts/deploy-langfuse.sh @@ -152,6 +152,7 @@ echo "Installing Langfuse with Helm..." echo " (This may take 5-10 minutes...)" helm upgrade --install langfuse langfuse/langfuse \ --namespace langfuse \ + --version ">= 3.63.0" \ --set langfuse.nextauth.secret.value="$NEXTAUTH_SECRET" \ --set langfuse.salt.value="$SALT" \ --set postgresql.auth.password="$POSTGRES_PASSWORD" \