{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/2"}],"enrichment":{"capability":"Traceloop SDK instruments LLM applications to capture execution traces and send them to Traceloop or your own observability backend, built on OpenTelemetry.","skillfed_tags":["llm-observability","opentelemetry","tracing"],"use_cases":["Debug LLM application failures by inspecting full execution traces including all API calls and responses.","Monitor token usage and latency across multiple LLM providers in a single dashboard.","Export traces to an existing observability platform via OpenTelemetry OTLP exporters.","Track performance of LangChain or LlamaIndex workflows across complex multi-step operations.","Audit and log all interactions with external LLM APIs for compliance or cost analysis."],"what_it_does":"Traceloop SDK is a Python instrumentation library that captures execution traces from LLM applications\u2014calls to OpenAI, Anthropic, LangChain, LlamaIndex, and other frameworks\u2014and exports them to Traceloop's cloud platform or to your own OpenTelemetry-compatible observability stack. It wraps your LLM code non-intrusively, meaning you initialize it once and then your existing application code generates traces automatically without modification.\n\nThe SDK includes built-in instrumentation for many LLM providers and frameworks (OpenAI, Anthropic, Bedrock, Cohere, Groq, LangChain, LlamaIndex, CrewAI, and others), plus vector databases and logging. You choose where traces go\u2014Traceloop's managed service or your own observability backend via OTLP gRPC or HTTP exporters. It's designed for debugging, monitoring, and understanding LLM application behavior in development and production.","worth_installing":"Yes, if you are building or operating LLM applications and need visibility into their behavior. The SDK is actively maintained, has no known vulnerabilities, and integrates seamlessly with popular frameworks. Install friction is low and the permissive license poses no barrier. Verify whether Traceloop's managed service fits your cost model and whether the instrumentation overhead is acceptable for your workload."},"id":"traceloop-sdk","links":{"html":"https://skillfed.io/packages/traceloop-sdk","md":"https://skillfed.io/packages/traceloop-sdk.md","pypi":"https://pypi.org/project/traceloop-sdk/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"traceloop-sdk","python_support":"supports_current","summary":"Traceloop Software Development Kit (SDK) for Python"},"popularity":{"monthly_downloads":2535788,"position":3016,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.62.3"}