{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/13"}],"enrichment":{"capability":"LangWatch is a Python SDK for instrumenting and monitoring LLM applications, capturing traces and spans of LLM interactions to send to the LangWatch observability platform.","skillfed_tags":["llm-observability","opentelemetry","instrumentation"],"use_cases":["Monitor OpenAI, LangChain, or Haystack LLM calls in production to track latency, errors, and token usage.","Group related LLM operations into conversations using thread_id for multi-turn dialogue analysis.","Capture RAG retrieval steps and other custom pipeline stages as nested spans within a single trace.","Track user interactions and analytics by attaching user_id metadata to traces.","Debug LLM application behavior by exporting detailed traces to the LangWatch dashboard."],"what_it_does":"LangWatch is an observability SDK that integrates with Python LLM applications to capture and export traces of LLM interactions. It uses OpenTelemetry as its instrumentation foundation and provides decorators (@langwatch.trace() and @langwatch.span()) to mark entry points and individual operations within your LLM pipeline. The SDK automatically captures function inputs, outputs, and metadata, then sends this telemetry to the LangWatch cloud platform for monitoring and analysis.\n\nThe package includes built-in instrumentors for popular frameworks\u2014OpenAI, LangChain, Haystack, and CrewAI\u2014allowing automatic capture of LLM calls without manual span creation. You can also manually create spans for custom operations like RAG retrieval or database queries. Traces can be grouped by thread_id for conversation tracking and by user_id for user analytics. The SDK is designed to integrate into existing OpenTelemetry setups or work standalone with minimal configuration.","worth_installing":"Yes, if you are building or operating a Python LLM application and want observability into LLM interactions. The SDK is actively maintained, has low install friction, uses a permissive MIT license, and integrates cleanly with popular frameworks. Install only if you have a LangWatch account and API key; the SDK is designed specifically for the LangWatch platform and will not be useful without it."},"id":"langwatch","links":{"html":"https://skillfed.io/packages/langwatch","md":"https://skillfed.io/packages/langwatch.md","pypi":"https://pypi.org/project/langwatch/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-07","license_spdx":null,"license_treatment":"permissive","name":"langwatch","python_support":"supports_current","summary":"LangWatch Python SDK, for monitoring your LLMs"},"popularity":{"monthly_downloads":332925,"position":7502,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.2.0"}