agent-framework/python/samples/getting_started/observability/.env.example

# Observability Configuration
# ===========================

# Standard OpenTelemetry environment variables
# See https://opentelemetry.io/docs/specs/otel/configuration/sdk-environment-variables/

# OTLP Endpoint (for Aspire Dashboard, Jaeger, etc.)
# Default protocol is gRPC (port 4317), HTTP uses port 4318
OTEL_EXPORTER_OTLP_ENDPOINT="http://localhost:4317"

# Optional: Override endpoint for specific signals
# OTEL_EXPORTER_OTLP_TRACES_ENDPOINT="http://localhost:4317"
# OTEL_EXPORTER_OTLP_METRICS_ENDPOINT="http://localhost:4317"
# OTEL_EXPORTER_OTLP_LOGS_ENDPOINT="http://localhost:4317"

# Optional: Specify protocol (grpc or http)
# OTEL_EXPORTER_OTLP_PROTOCOL="grpc"

# Optional: Add headers (e.g., for authentication)
# OTEL_EXPORTER_OTLP_HEADERS="Authorization=Bearer token,x-api-key=key"

# Optional: Service identification
# OTEL_SERVICE_NAME="my-agent-app"
# OTEL_SERVICE_VERSION="1.0.0"
# OTEL_RESOURCE_ATTRIBUTES="deployment.environment=dev,host.name=localhost"

# Agent Framework specific settings
# ==================================

# Enable sensitive data logging (prompts, responses, etc.)
# WARNING: Only enable in dev/test environments
ENABLE_SENSITIVE_DATA=true

# Optional: Enable console exporters for debugging
# ENABLE_CONSOLE_EXPORTERS=true

# Optional: Enable observability (automatically enabled if env vars are set or configure_otel_providers() is called)
# ENABLE_INSTRUMENTATION=true

# OpenAI specific variables
# ==========================
OPENAI_API_KEY="..."
OPENAI_RESPONSES_MODEL_ID="gpt-4o-2024-08-06"
OPENAI_CHAT_MODEL_ID="gpt-4o-2024-08-06"

# Azure AI Foundry specific variables
# ====================================
AZURE_AI_PROJECT_ENDPOINT="..."
AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o-mini"