{"categories":[{"label":"Monitoring","url":"https://skillfed.io/packages/category/system-monitoring/2"}],"enrichment":{"capability":"Adds OpenTelemetry tracing to Anthropic API calls, capturing prompts, completions, and request/response metadata as span attributes for observability and debugging.","skillfed_tags":["observability","llm-tracing","anthropic"],"use_cases":["Debug LLM application behavior by inspecting actual prompts and completions sent to Anthropic in your traces.","Monitor token usage and latency of Anthropic API calls in production via OpenTelemetry exporters.","Evaluate output quality by correlating trace data with application metrics and user feedback.","Reduce trace verbosity in privacy-sensitive deployments by disabling content logging while keeping call metadata.","Integrate Anthropic observability into existing OpenTelemetry pipelines without custom instrumentation code."],"what_it_does":"This package integrates the Anthropic Python SDK with OpenTelemetry, automatically capturing LLM interactions as distributed traces. When you call the Anthropic API through your instrumented code, the library records prompts, completions, and metadata as span attributes, giving you visibility into what your LLM application is doing without code changes beyond a single instrument() call.\n\nBy default it logs all content to spans, which aids debugging and quality evaluation but may expose sensitive user data. You can disable content logging via the TRACELOOP_TRACE_CONTENT environment variable to reduce trace size and privacy risk. The package depends on opentelemetry-api, opentelemetry-instrumentation, and two semantic-conventions packages to define standard attribute names for AI workloads.","worth_installing":"Yes, if you use Anthropic and already run OpenTelemetry. The instrumentation is actively maintained, has no known vulnerabilities, and requires only a permissive license. Install it to add LLM tracing to your observability stack with minimal setup. Skip it if you don't use Anthropic or have no OpenTelemetry backend configured."},"id":"opentelemetry-instrumentation-anthropic","links":{"html":"https://skillfed.io/packages/opentelemetry-instrumentation-anthropic","md":"https://skillfed.io/packages/opentelemetry-instrumentation-anthropic.md","pypi":"https://pypi.org/project/opentelemetry-instrumentation-anthropic/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-10","license_spdx":"Apache-2.0","license_treatment":"permissive","name":"opentelemetry-instrumentation-anthropic","python_support":"supports_current","summary":"OpenTelemetry Anthropic instrumentation"},"popularity":{"monthly_downloads":4809714,"position":2224,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.62.3"}