{"library":"openinference-instrumentation-langchain","type":"library","category":null,"description":"The `openinference-instrumentation-langchain` library provides automatic instrumentation for LangChain applications, enabling detailed observability for AI workflows. It implements OpenInference semantic conventions on top of OpenTelemetry, standardizing traces for LLM calls, agent reasoning, tool invocations, and retrieval operations. This allows for seamless integration with any OpenTelemetry-compatible backend, such as Arize Phoenix, to visualize and analyze your AI application's performance. The library is actively maintained, with a current version of 0.1.62, and receives regular updates.","language":"python","status":"active","version":"0.1.62","tags":["observability","opentelemetry","langchain","llm","instrumentation","ai","tracing"],"install":[{"cmd":"pip install openinference-instrumentation-langchain langchain langchain-openai opentelemetry-sdk opentelemetry-exporter-otlp arize-phoenix","imports":["from openinference.instrumentation.langchain import LangChainInstrumentor"]},{"cmd":"pip install openinference-instrumentation-langchain langchain-classic langchain-openai opentelemetry-sdk opentelemetry-exporter-otlp arize-phoenix","imports":[]}],"homepage":null,"github":"https://github.com/Arize-ai/openinference","docs":null,"changelog":null,"pypi":"https://pypi.org/project/openinference-instrumentation-langchain/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":25,"avg_install_s":44.5,"avg_import_s":0.81,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/openinference-instrumentation-langchain/compatibility"},"provenance":{"verified_status":"install_fail","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Sun Jul 05","install_tag":null}}