{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/2"}],"enrichment":{"capability":"Automatically captures traces of Groq SDK API calls, logging prompts, completions, and metadata to OpenTelemetry spans for observability and debugging of LLM applications.","skillfed_tags":["llm-observability","groq-sdk","distributed-tracing"],"use_cases":["Debug LLM application behavior by inspecting actual prompts and completions sent to Groq in production traces.","Monitor token usage and latency of Groq API calls across your application using OpenTelemetry-compatible observability platforms.","Evaluate output quality by correlating prompts with completions in distributed traces for performance analysis.","Audit LLM interactions for compliance by capturing structured span data without modifying application code.","Troubleshoot integration issues between your application and Groq by examining instrumented request/response cycles."],"what_it_does":"This package is an OpenTelemetry instrumentation plugin that hooks into the official Groq Python SDK to automatically capture traces of LLM API calls. When installed and initialized, it intercepts Groq SDK requests and logs prompts, completions, and other metadata as OpenTelemetry span attributes, giving you visibility into how your LLM application behaves in production.\n\nBy default, it logs full prompt and completion content to help with debugging and quality evaluation. However, you can disable content logging by setting the TRACELOOP_TRACE_CONTENT environment variable to false if you need to protect sensitive user data or reduce trace size. The instrumentation integrates with the standard OpenTelemetry ecosystem, so traces can be exported to any compatible backend (Jaeger, Datadog, etc.) for centralized monitoring.","worth_installing":"Yes, if you use the Groq SDK and need observability. The package is actively maintained, has no known vulnerabilities, and integrates seamlessly with OpenTelemetry. The privacy control (TRACELOOP_TRACE_CONTENT) makes it suitable for production use. Install it if you want automatic LLM tracing without manual instrumentation code."},"id":"opentelemetry-instrumentation-groq","links":{"html":"https://skillfed.io/packages/opentelemetry-instrumentation-groq","md":"https://skillfed.io/packages/opentelemetry-instrumentation-groq.md","pypi":"https://pypi.org/project/opentelemetry-instrumentation-groq/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"opentelemetry-instrumentation-groq","python_support":"supports_current","summary":"OpenTelemetry Groq instrumentation"},"popularity":{"monthly_downloads":2858863,"position":2858,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.62.3"}