# OpenInference

## Docs

- [Introduction to OpenInference](https://mintlify.wiki/Arize-ai/openinference/introduction.md): OpenTelemetry-based semantic conventions for AI observability. Trace LLM applications with consistent, vendor-agnostic instrumentation across Python, JavaScript, and Java.
- [Quickstart](https://mintlify.wiki/Arize-ai/openinference/quickstart.md): Get started with OpenInference in 5 minutes. Install instrumentation, launch Phoenix, and start tracing your first LLM application.
- [OpenInference Overview](https://mintlify.wiki/Arize-ai/openinference/concepts/overview.md): Introduction to OpenInference data model and architecture
- [Traces](https://mintlify.wiki/Arize-ai/openinference/concepts/traces.md): Trace structure, tree hierarchy, and context propagation
- [Spans](https://mintlify.wiki/Arize-ai/openinference/concepts/spans.md): Span anatomy, timestamps, status, and attributes
- [Span Kinds](https://mintlify.wiki/Arize-ai/openinference/concepts/span-kinds.md): All OpenInference span kinds with detailed descriptions and examples
- [Attributes](https://mintlify.wiki/Arize-ai/openinference/concepts/attributes.md): Attribute naming conventions, flattened lists, and types
- [Installation](https://mintlify.wiki/Arize-ai/openinference/python/installation.md): Install OpenInference Python packages for tracing and instrumentation
- [Semantic Conventions](https://mintlify.wiki/Arize-ai/openinference/python/semantic-conventions.md): OpenInference semantic conventions for standardized trace attributes
- [Instrumentation Core](https://mintlify.wiki/Arize-ai/openinference/python/instrumentation-core.md): Core utilities for manual tracing with OITracer, TraceConfig, and context managers
- [Python Instrumentations](https://mintlify.wiki/Arize-ai/openinference/python/instrumentations.md): Auto-instrumentation packages for popular AI/ML frameworks
- [Installation](https://mintlify.wiki/Arize-ai/openinference/javascript/installation.md): Install OpenInference JavaScript packages for tracing LLM applications
- [Semantic Conventions](https://mintlify.wiki/Arize-ai/openinference/javascript/semantic-conventions.md): OpenInference semantic conventions for JavaScript tracing
- [Core Package](https://mintlify.wiki/Arize-ai/openinference/javascript/core.md): OpenInference Core utilities for JavaScript tracing
- [Instrumentations](https://mintlify.wiki/Arize-ai/openinference/javascript/instrumentations.md): Overview of OpenInference JavaScript instrumentation packages
- [Installation](https://mintlify.wiki/Arize-ai/openinference/java/installation.md): Install OpenInference Java instrumentation packages
- [Semantic Conventions](https://mintlify.wiki/Arize-ai/openinference/java/semantic-conventions.md): OpenInference semantic conventions for Java
- [Base Instrumentation](https://mintlify.wiki/Arize-ai/openinference/java/instrumentation.md): OpenInference base instrumentation utilities for Java
- [Instrumentations](https://mintlify.wiki/Arize-ai/openinference/java/instrumentations.md): Auto-instrumentation packages for popular Java AI frameworks
- [TraceConfig](https://mintlify.wiki/Arize-ai/openinference/configuration/trace-config.md): Configure trace behavior using TraceConfig objects across Python, JavaScript, and Java
- [Environment Variables](https://mintlify.wiki/Arize-ai/openinference/configuration/environment-variables.md): Configure OpenInference tracing behavior using environment variables
- [Privacy Controls](https://mintlify.wiki/Arize-ai/openinference/configuration/privacy-controls.md): Implement data filtering, PII masking, and selective tracing suppression in OpenInference
- [Introduction](https://mintlify.wiki/Arize-ai/openinference/spec/introduction.md): OpenInference semantic convention specification for AI application observability
- [Data Model](https://mintlify.wiki/Arize-ai/openinference/spec/data-model.md): Core concepts of the OpenInference tracing data model
- [Semantic Conventions](https://mintlify.wiki/Arize-ai/openinference/spec/semantic-conventions.md): Complete attribute reference for OpenInference spans
- [Traces Specification](https://mintlify.wiki/Arize-ai/openinference/spec/traces-spec.md): Trace structure, span hierarchy, and context propagation
- [Configuration Specification](https://mintlify.wiki/Arize-ai/openinference/spec/configuration-spec.md): Environment variables, privacy controls, and data masking
- [LLM Spans](https://mintlify.wiki/Arize-ai/openinference/spec/llm-spans.md): Attributes for language model calls: messages, token counts, model parameters, and tool definitions
- [Embedding Spans](https://mintlify.wiki/Arize-ai/openinference/spec/embedding-spans.md): Attributes for vector embedding generation
- [Tool Calling](https://mintlify.wiki/Arize-ai/openinference/spec/tool-calling.md): Function/tool call and result representation
- [Multimodal Attributes](https://mintlify.wiki/Arize-ai/openinference/spec/multimodal-attributes.md): Image, audio, and mixed-content messages
- [OpenAI](https://mintlify.wiki/Arize-ai/openinference/instrumentations/python/openai.md): Python auto-instrumentation for OpenAI SDK
- [LangChain](https://mintlify.wiki/Arize-ai/openinference/instrumentations/python/langchain.md): Python auto-instrumentation for LangChain
- [LlamaIndex](https://mintlify.wiki/Arize-ai/openinference/instrumentations/python/llama-index.md): Python auto-instrumentation for LlamaIndex
- [Anthropic](https://mintlify.wiki/Arize-ai/openinference/instrumentations/python/anthropic.md): Python auto-instrumentation for Anthropic SDK
- [AWS Bedrock](https://mintlify.wiki/Arize-ai/openinference/instrumentations/python/bedrock.md): Python auto-instrumentation for AWS Bedrock
- [DSPy](https://mintlify.wiki/Arize-ai/openinference/instrumentations/python/dspy.md): Python auto-instrumentation for DSPy
- [Haystack](https://mintlify.wiki/Arize-ai/openinference/instrumentations/python/haystack.md): Python auto-instrumentation for Haystack
- [Google Vertex AI](https://mintlify.wiki/Arize-ai/openinference/instrumentations/python/vertexai.md): Python auto-instrumentation for Google Vertex AI
- [Mistral AI](https://mintlify.wiki/Arize-ai/openinference/instrumentations/python/mistralai.md): Python auto-instrumentation for Mistral AI SDK
- [All Python Instrumentations](https://mintlify.wiki/Arize-ai/openinference/instrumentations/python/all-python.md): Complete list of all OpenInference Python instrumentation packages
- [OpenAI](https://mintlify.wiki/Arize-ai/openinference/instrumentations/javascript/openai.md): Auto-instrumentation for the OpenAI Node.js SDK
- [LangChain.js](https://mintlify.wiki/Arize-ai/openinference/instrumentations/javascript/langchain.md): Auto-instrumentation for LangChain.js
- [Anthropic](https://mintlify.wiki/Arize-ai/openinference/instrumentations/javascript/anthropic.md): Auto-instrumentation for the Anthropic SDK
- [AWS Bedrock](https://mintlify.wiki/Arize-ai/openinference/instrumentations/javascript/bedrock.md): Auto-instrumentation for AWS Bedrock Runtime JS SDK
- [Vercel AI SDK](https://mintlify.wiki/Arize-ai/openinference/instrumentations/javascript/vercel.md): Utilities for ingesting Vercel AI SDK spans into OpenInference platforms
- [All JavaScript Packages](https://mintlify.wiki/Arize-ai/openinference/instrumentations/javascript/all-javascript.md): Complete list of OpenInference JavaScript instrumentation packages
- [LangChain4j Instrumentation](https://mintlify.wiki/Arize-ai/openinference/instrumentations/java/langchain4j.md): Instrument LangChain4j applications with OpenInference
- [Spring AI Instrumentation](https://mintlify.wiki/Arize-ai/openinference/instrumentations/java/spring-ai.md): Instrument Spring AI applications with OpenInference
- [Java Instrumentations](https://mintlify.wiki/Arize-ai/openinference/instrumentations/java/all-java.md): Complete list of OpenInference Java instrumentation packages
- [OpenAI Chat Completions](https://mintlify.wiki/Arize-ai/openinference/examples/python/openai-chat.md): Instrument OpenAI chat completions with OpenInference
- [LangChain RAG Pipeline](https://mintlify.wiki/Arize-ai/openinference/examples/python/langchain-rag.md): Build and instrument a retrieval-augmented generation pipeline with LangChain
- [LlamaIndex Query Engine](https://mintlify.wiki/Arize-ai/openinference/examples/python/llama-index-query.md): Build a query engine with LlamaIndex and OpenInference instrumentation
- [DSPy RAG Pipeline](https://mintlify.wiki/Arize-ai/openinference/examples/python/dspy-rag.md): Build and optimize a RAG pipeline with DSPy and OpenInference
- [OpenAI Basic Usage](https://mintlify.wiki/Arize-ai/openinference/examples/javascript/openai-basic.md): Instrument OpenAI SDK in Node.js with OpenInference
- [LangChain with Express](https://mintlify.wiki/Arize-ai/openinference/examples/javascript/langchain-express.md): Build a RAG API with LangChain and Express.js with OpenInference
- [Next.js with OpenAI](https://mintlify.wiki/Arize-ai/openinference/examples/javascript/nextjs-openai.md): Build a Next.js chat application with OpenAI and OpenInference
- [LangChain4j Example](https://mintlify.wiki/Arize-ai/openinference/examples/java/langchain4j-example.md): Instrument LangChain4j applications with OpenInference
- [Spring AI Example](https://mintlify.wiki/Arize-ai/openinference/examples/java/spring-ai-example.md): Instrument Spring AI applications with OpenInference