openinference

openinference

开放式AI应用程序追踪标准和工具集

OpenInference是一套用于AI应用程序追踪的开放标准和工具集,与OpenTelemetry相辅相成。它能深入洞察LLM调用过程及其应用环境,包括向量存储检索和外部工具的使用情况。该项目提供了技术规范和多语言支持的机器学习SDK与框架检测库,可无缝对接各类OpenTelemetry兼容后端。OpenInference致力于为AI应用提供全方位的可观测性方案。

OpenInferenceOpenTelemetryAI应用开源规范插件Github开源项目
<p align="center"> <img alt="OpenInfence" src="https://raw.githubusercontent.com/Arize-ai/phoenix-assets/main/logos/OpenInference/Full%20color/OI-full-horiz.svg" width="40%" height="100%" /> </p> <p align="center"> <a href="https://arize-ai.github.io/openinference/"> <img src="https://img.shields.io/static/v1?message=Spec&logo=data:image/png;base64,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&labelColor=grey&color=blue&logoColor=white&label=%20"/> </a> <a target="_blank" href="https://join.slack.com/t/arize-ai/shared_invite/zt-1px8dcmlf-fmThhDFD_V_48oU7ALan4Q"> <img src="https://img.shields.io/static/v1?message=Community&logo=slack&labelColor=grey&color=blue&logoColor=white&label=%20"/> </a> </p>

OpenInference is a set of conventions and plugins that is complimentary to OpenTelemetry to enable tracing of AI applications. OpenInference is natively supported by arize-phoenix, but can be used with any OpenTelemetry-compatible backend as well.

Specification

The OpenInference specification is edited in markdown files found in the spec directory. It's designed to provide insight into the invocation of LLMs and the surrounding application context such as retrieval from vector stores and the usage of external tools such as search engines or APIs. The specification is transport and file-format agnostic, and is intended to be used in conjunction with other specifications such as JSON, ProtoBuf, and DataFrames.

Instrumentation

OpenInference provides a set of instrumentations for popular machine learning SDKs and frameworks in a variety of languages.

Python

Libraries

PackageDescriptionVersion
openinference-semantic-conventionsSemantic conventions for tracing of LLM Apps.PyPI Version
openinference-instrumentation-openaiOpenInference Instrumentation for OpenAI SDK.PyPI Version
openinference-instrumentation-llama-indexOpenInference Instrumentation for LlamaIndex.PyPI Version
openinference-instrumentation-dspyOpenInference Instrumentation for DSPy.PyPI Version
openinference-instrumentation-bedrockOpenInference Instrumentation for AWS Bedrock.PyPI Version
openinference-instrumentation-langchainOpenInference Instrumentation for LangChain.PyPI Version
openinference-instrumentation-mistralaiOpenInference Instrumentation for MistralAI.PyPI Version
openinference-instrumentation-guardrailsOpenInference Instrumentation for Guardrails.PyPI Version
openinference-instrumentation-vertexaiOpenInference Instrumentation for VertexAI.PyPI Version
openinference-instrumentation-crewaiOpenInference Instrumentation for CrewAI.PyPI Version
openinference-instrumentation-haystackOpenInference Instrumentation for Haystack.PyPI Version
openinference-instrumentation-litellmOpenInference Instrumentation for liteLLM.PyPI Version
openinference-instrumentation-groqOpenInference Instrumentation for Groq.PyPI Version
openinference-instrumentation-instructorOpenInference Instrumentation for Instructor.PyPI Version
openinference-instrumentation-anthropicOpenInference Instrumentation for Anthropic.PyPI Version

Examples

NameDescriptionComplexity Level
OpenAI SDKOpenAI Python SDK, including chat completions and embeddingsBeginner
MistralAI SDKMistralAI Python SDKBeginner
VertexAI SDKVertexAI Python SDKBeginner
LlamaIndexLlamaIndex query enginesBeginner
DSPyDSPy primitives and custom RAG modulesBeginner
Boto3 Bedrock ClientBoto3 Bedrock clientBeginner
LangChainLangChain primitives and simple chainsBeginner
LiteLLMA lightweight LiteLLM frameworkBeginner
GroqGroq and AsyncGroq chat completionsBeginner
AnthropicAnthropic Messages clientBeginner
LlamaIndex + Next.js ChatbotA fully functional chatbot using Next.js and a LlamaIndex FastAPI backendIntermediate
LangServeA LangChain application deployed with LangServe using custom metadata on a per-request basisIntermediate
DSPyA DSPy RAG application using FastAPI, Weaviate, and CohereIntermediate
HaystackA Haystack QA RAG applicationIntermediate

JavaScript

Libraries

PackageDescriptionVersion
@arizeai/openinference-semantic-conventionsSemantic conventions for tracing of

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