@arizeai/openinference-instrumentation-anthropic

Name: @arizeai/openinference-instrumentation-anthropic Review
Item: @arizeai/openinference-instrumentation-anthropic
Rating: 3.6
Author: Aaron Matthews

Skill Development Solid

Works inClaude Code

Solid Scanned — metadata only

Provides standardized observability into Anthropic API calls, enabling teams to monitor token usage, latency, and model behavior in production without custom…

OpenInference instrumentation for Anthropic

Instrument Claude API calls to capture detailed traces for debugging production issues
Monitor token usage and latency metrics across Claude requests in your application
Export structured observability data from Claude interactions to analysis platforms

1,109 starsApache-2.0 (commercial OK)FreeQuick setup

Why it matters

Provides standardized observability into Anthropic API calls, enabling teams to monitor token usage, latency, and model behavior in production without custom instrumentation overhead.

Best for

Engineering teams running Anthropic-powered applications requiring distributed tracing and cost monitoring across multiple services.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://www.npmjs.com/package/@arizeai/openinference-instrum...

By GitHub Actions

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.

Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.

Command

npx @arizeai/openinference-instrumentation-anthropic

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me instrument Claude API calls to capture detailed traces for debugging production issues

CostFree

Trust Signals Auto-scanned

Stars1,109Last updated2026-07-21LicenseApache-2.0 (OK for commercial use)Weekly downloads37,800Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-23 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 1,109 GitHub stars; contributors unknown; last commit 2d ago; license Apache-2.0.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

4/5

Versatility

4/5

Reliability

3/5

Security

3/5

Overall score3.60 / 5.00 SolidEvaluatedJul 2026

Scored from trust signals (evidence-eval-v1): 1,109 GitHub stars; contributors unknown; last commit 2d ago; license Apache-2.0.

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