@mlflow/claude-code
Integrates Claude's agentic capabilities with MLflow's tracing infrastructure, enabling teams to monitor, debug, and optimize LLM-powered code generation wor…
Claude Code and Claude Agent SDK integration package for MLflow Tracing
- Trace Claude code generation requests through MLflow to debug AI model outputs
- Monitor agent execution performance metrics and token usage across Claude API calls
- Log and analyze conversation flows when Claude agents solve multi-step coding problems
Integrates Claude's agentic capabilities with MLflow's tracing infrastructure, enabling teams to monitor, debug, and optimize LLM-powered code generation workflows at production scale without custom instrumentation.
ML engineering teams building Claude-based code agents who need observability into model behavior and cost tracking.
https://www.npmjs.com/package/@mlflow/claude-code
By GitHub Actions
How to Get It
npx @mlflow/claude-code
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.
After installing, paste this into Claude:
Help me trace Claude code generation requests through MLflow to debug AI model outputs
Trust Signals Auto-scanned
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 28,176 GitHub stars; contributors unknown; last commit 0d 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
Scored from trust signals (evidence-eval-v1): 28,176 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.