opentelemetry-instrumentation-anthropic
OpenTelemetry Anthropic instrumentation
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; requires an active OpenTelemetry SDK and exporter configured separately to send traces to a backend.
- Low friction installation with four runtime dependencies on stable OpenTelemetry packages.
- Actively maintained with a recent release (4 days old) and no known vulnerabilities.
License · maintenance · safety
Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in both open-source and commercial projects with minimal restrictions.
last release 2026-08-10 (4 days) · last repo commit 2026-08-10 · 7,377 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 4,809,714 downloads/mo, #2,224 on PyPI
Alternatives
Verify before relying
pip install opentelemetry-instrumentation-anthropic
from opentelemetry.instrumentation.anthropic import AnthropicInstrumentor
AnthropicInstrumentor().instrument()- Whether this instrumentation works with all Anthropic SDK versions or has specific compatibility constraints.
- Performance overhead of tracing on typical Anthropic API call latency.
- Whether TRACELOOP_TRACE_CONTENT environment variable is the only privacy control available.
What it is and 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.
By 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.
Use it for
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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.
Install
opentelemetry-instrumentation-anthropic on PyPI
Before you install
Low friction installation with four runtime dependencies on stable OpenTelemetry packages. Actively maintained with a recent release (4 days old) and no known vulnerabilities.
Requires Python 3.10 or later; requires an active OpenTelemetry SDK and exporter configured separately to send traces to a backend.
License in practice
Licensed under Apache-2.0 (permissive), allowing use in both open-source and commercial projects with minimal restrictions.
Quickstart
pip install opentelemetry-instrumentation-anthropic
from opentelemetry.instrumentation.anthropic import AnthropicInstrumentor
AnthropicInstrumentor().instrument()Verify before relying
- Whether this instrumentation works with all Anthropic SDK versions or has specific compatibility constraints.
- Performance overhead of tracing on typical Anthropic API call latency.
- Whether TRACELOOP_TRACE_CONTENT environment variable is the only privacy control available.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <4,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesopentelemetry-apiopentelemetry-instrumentationopentelemetry-semantic-conventions-aiopentelemetry-semantic-conventions |
| Maintenance | Actively maintained 4 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 4,809,714 / month, #2,224 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: opentelemetry_instrumentation_anthropic-0.62.3-py3-none-any.whl
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See also opentelemetry-instrumentation-replicate · opentelemetry-instrumentation-groq · anthropic · opentelemetry-instrumentation-openai · opentelemetry-instrumentation-writer · opentelemetry-instrumentation-ollama · openinference-instrumentation-anthropic · opentelemetry-instrumentation-haystack · opentelemetry-instrumentation-litellm · opentelemetry-instrumentation-llamaindex