> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agentmark.co/llms.txt
> Use this file to discover all available pages before exploring further.
# Integrations
> Send traces to AgentMark from any OpenTelemetry-instrumented app, via OpenInference, OpenLLMetry, or a raw OpenTelemetry setup.
Send traces to AgentMark from any OpenTelemetry-instrumented app, whether through a framework instrumentor or a raw OpenTelemetry setup. Point its exporter at AgentMark's OTLP endpoint; there's nothing to install on the AgentMark side.
## Tracing
The OTLP endpoint, authentication, and supported conventions
LangChain, LlamaIndex, CrewAI, DSPy, and more
Traceloop and OpenLIT instrumentors
## Frameworks
Per-framework setup for the most common agent and orchestration libraries. Each points an instrumentor at the same OTLP endpoint.
LangChain and LangGraph: Python and JavaScript
CrewAI agents and crews: Python
LlamaIndex queries and agents: Python
DSPy modules and optimizers: Python
OpenAI Agents SDK: Python and JavaScript
Vercel AI SDK v6: TypeScript
Pydantic AI agents: Python
Microsoft AutoGen AgentChat: Python
Agno agents: Python
Microsoft Semantic Kernel: Python
Hugging Face smolagents: Python
Haystack pipelines: Python
Google Agent Development Kit: Python
Mastra agents: TypeScript
## Model providers
Trace a provider SDK directly. Each uses the matching OpenInference instrumentor pointed at the same OTLP endpoint.
OpenAI and Azure OpenAI: Python
Anthropic Claude: Python
Amazon Bedrock (boto3): Python
Google Gemini: Python
Google Vertex AI: Python
Mistral: Python
Groq: Python
OpenRouter, Together, Fireworks, DeepSeek, Ollama, and more
## Gateways
Trace calls routed through an LLM gateway. Each points an instrumentor at the same OTLP endpoint.
LiteLLM: Python
Portkey gateway: Python
Have questions?
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