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Meta-package for LLM Tracekit - OpenTelemetry instrumentations for LLM providers.

Project description

LLM Tracekit

Open-source observability for your LLM application, based on OpenTelemetry.

LLM Tracekit is a set of OpenTelemetry instrumentations that gives you complete observability over your LLM application. Because it uses OpenTelemetry under the hood, it can be connected to your existing observability solutions - Coralogix, Datadog, Honeycomb, and others.

🚀 Getting Started

Install the instrumentation for your LLM provider:

pip install llm-tracekit-openai        # For OpenAI
pip install llm-tracekit-bedrock       # For AWS Bedrock
pip install llm-tracekit-gemini        # For Google Gemini
pip install llm-tracekit-google-adk    # For Google ADK
pip install llm-tracekit-litellm       # For LiteLLM
pip install llm-tracekit-langchain     # For LangChain
pip install llm-tracekit-langgraph     # For LangGraph
pip install llm-tracekit-openai-agents # For OpenAI Agents SDK
pip install llm-tracekit-strands      # For Strands Agents

Then instrument your code:

from llm_tracekit.openai import OpenAIInstrumentor, setup_export_to_coralogix

setup_export_to_coralogix(
    service_name="my-ai-service",
    capture_content=True,
)

OpenAIInstrumentor().instrument()

from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello!"}],
)

🪗 What do we instrument?

LLM Providers

Provider Package Instrumentor
OpenAI llm-tracekit-openai OpenAIInstrumentor
AWS Bedrock llm-tracekit-bedrock BedrockInstrumentor
Google Gemini llm-tracekit-gemini GeminiInstrumentor

Frameworks

Framework Package Instrumentor
Google ADK llm-tracekit-google-adk GoogleADKInstrumentor
LiteLLM llm-tracekit-litellm LiteLLMInstrumentor
LangChain llm-tracekit-langchain LangChainInstrumentor
LangGraph llm-tracekit-langgraph LangGraphInstrumentor
OpenAI Agents SDK llm-tracekit-openai-agents OpenAIAgentsInstrumentor
Strands Agents llm-tracekit-strands StrandsInstrumentor

📖 Usage

Setting up tracing

Export to Coralogix

from llm_tracekit.openai import setup_export_to_coralogix

setup_export_to_coralogix(
    service_name="ai-service",
    application_name="ai-application",
    subsystem_name="ai-subsystem",
    capture_content=True,
)

🛡️ Guardrails

LLM Tracekit also includes Coralogix Guardrails - a client for protecting your LLM applications with content moderation, PII detection, prompt injection detection, and more.

See the Guardrails documentation for details.

📚 Documentation

For detailed documentation on each instrumentation, see the individual READMEs:

📜 License

Apache 2.0 - See LICENSE for details.

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