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MLflow Tracing

Open-source platform for tracing, evaluating and managing prompts for agents, LLMs and ML models

Observability tool by MLflow (Linux Foundation)

IndexedApache-2.0★ 28,516
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pip install mlflow

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About

MLflow tracing captures the inputs and outputs of each step in agent and LLM applications, built on OpenTelemetry. The platform also includes evaluation with built-in metrics and LLM judges, prompt versioning and optimization, and an AI Gateway that routes requests, handles fallbacks and enforces rate limits.

Use cases: monitoring-observability, llm-evaluation

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Fact sheet

Category
Tracing · open source
Protocols
opentelemetry, mcpraw.githubusercontent.com

Facts read from the vendor's own pages by claude-haiku-5-5 on Oct 24, 2026; a fact is shown only with the page it came from.

Signals

Stars
28,516
Forks
6,516
Open issues
1,520
Last commit
Oct 24, 2026 (6 days ago)
Last release
Oct 21, 2026 (10 days ago)

Details

Packages
pypi mlflow
License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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Cite this page

MLflow Tracing. Agent Mart. https://agentmart.dev/observability/mlflow-tracing (last updated 2026-10-24)