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For the complete documentation index, see llms.txt. Markdown versions of all docs pages are available by appending .md to any docs URL.

LangSmith

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Integrate agentgateway with LangSmith for LLM debugging and monitoring

LangSmith is LangChain’s platform for debugging, testing, evaluating, and monitoring LLM applications.

Features

  • Trace logging - Detailed request/response logging
  • Debugging - Step-through debugging of LLM calls
  • Evaluation - Automated testing and evaluation
  • Monitoring - Production monitoring and alerting
  • Datasets - Build and manage evaluation datasets

Setup

  1. Sign up at smith.langchain.com
  2. Create a project and get your API key

Configuration

LangSmith accepts OpenTelemetry traces directly. Configure agentgateway to export traces directly to LangSmith:

# yaml-language-server: $schema=https://agentgateway.dev/schema/config
frontendPolicies:
  tracing:
    host: api.smith.langchain.com:443
    protocol: http
    path: /otel/v1/traces
    randomSampling: true
    policies:
      backendTLS: {}
      requestHeaderModifier:
        set:
          x-api-key: "${LANGSMITH_API_KEY}"

gateways:
  default:
    port: 3000
routes:
- backends:
  - ai:
      name: openai
      provider:
        openAI:
          model: gpt-4o-mini
  policies:
    backendAuth:
      key: "$OPENAI_API_KEY"

Authentication

Set the API key that the tracing policy sends in the x-api-key header. The policy selects OTLP over HTTP, enables backend TLS, and uses the full trace ingestion path from the LangSmith OpenTelemetry guide.

export LANGSMITH_API_KEY="<your-langsmith-api-key>"

Docker Compose example

Agentgateway exports traces directly to LangSmith without needing an OTel Collector:

version: '3'
services:
  agentgateway:
    image: cr.agentgateway.dev/agentgateway:latest
    ports:
      - "3000:3000"
    volumes:
      - ./config.yaml:/config.yaml:ro
    command: ["-f", "/config.yaml"]
    environment:
      - LANGSMITH_API_KEY=${LANGSMITH_API_KEY}
      - OPENAI_API_KEY=${OPENAI_API_KEY}

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