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MLflow (Databricks)

Open-source ML lifecycle platform.

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open_source

Профиль

Обновлено: 7 окт. 2026 г. · website
Building AI products is all about iteration.MLflow lets you move 10x faster by simplifying how you debug, evaluate, and monitor your LLM applications, Agents, and Models. Capture complete traces of your LLM applications and agents to get deep insights into their behavior. Built on OpenTelemetry and supports any LLM provider and agent framework. Monitor production quality, costs, and safety. Run systematic evaluations, track quality metrics over time, and catch regressions before they reach production. Choose from 50+ built-in metrics and LLM judges, or define your own with highly flexible APIs.Automatically detect issues in your traces using AI-powered analysis across correctness, latency, execution, adherence, relevance, and safety dimensions. Version, test, and deploy prompts with full lineage tracking. Automatically optimize prompts with state-of-the-art algorithms to improve performance. Unified API gateway for all LLM providers. Route requests, manage rate limits, handle fallbacks, and control costs through a unified OpenAI-compatible interface. Deploy agents to production with a single command. The MLflow Agent Server provides a FastAPI-based hosting solution with automatic request validation, streaming support, and built-in tracing — so you can go from prototype to production endpoint in minutes.
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