Auto-Instrumentation Integrations: Future AGI Tracing
Auto-instrumentation integrations for LLM frameworks in Python, JavaScript, and Java. Install a traceAI package to start capturing spans automatically.
About
Trace your application by choosing an integration below and following its setup guide.
Each guide describes the setup for its integration, including any instrumentation package or native telemetry configuration it requires.
LLM Providers
OpenAI
traceAI-openai
Anthropic
traceAI-anthropic
AWS Bedrock
traceAI-bedrock
Vertex AI
traceAI-vertexai
Google GenAI
traceAI-google-genai
Google ADK
traceai-google-adk
Groq
traceAI-groq
MistralAI
traceAI-mistralai
Together AI
traceAI-openai
Ollama
traceAI-openai
Portkey
traceAI-portkey
Frameworks & Agents
LangChain
traceAI-langchain
LangGraph
traceAI-langchain
LlamaIndex
traceAI-llamaindex
LlamaIndex Workflows
traceAI-llamaindex
LiteLLM
traceAI-litellm
CrewAI
traceAI-crewai
AutoGen
traceAI-autogen
Haystack
traceAI-haystack
DSPy
traceAI-DSPy
OpenAI Agents
traceAI-openai-agents
Smol Agents
traceAI-smolagents
Instructor
traceAI-instructor
PromptFlow
traceAI-openai
Guardrails
traceAI-guardrails
MCP
traceAI-mcp
Mastra
@traceai/mastra
Vercel AI SDK
@traceai/vercel
Voice & Realtime
Java
See the Java overview for core setup and choose a guide for your client or framework.
Spring Boot
traceai-spring-boot-starter
OpenAI
traceai-java-openai
Anthropic
traceai-java-anthropic
AWS Bedrock
traceai-java-bedrock
Cohere
traceai-java-cohere
Pinecone
traceai-java-pinecone
More LLM Providers
Google GenAI, Vertex AI, Azure OpenAI, Ollama, Watsonx
Vector Databases
Qdrant, Milvus, ChromaDB, Weaviate, and 5 more
Frameworks
LangChain4j, Semantic Kernel
Other
Questions & Discussion