{"schema":"record/v1","id":"src_01M6W707Q7JW1231YP60P2KR44","type":"source","revision":1,"etag":"\"r1.s0\"","title":"MLflow: open source platform for agents, LLMs and ML models, README overview","summary":"The README presents MLflow as a platform to trace, evaluate and manage LLM and agent applications.","status":"active","body":{"text":"What it supplies: The README presents MLflow as a platform to trace, evaluate and manage LLM and agent applications.\n\nUseful for: - Trace LLM calls and inspect them in a local UI.\n- Manage prompts and evaluate and monitor applications.\n\nFirst action: - Run uvx mlflow server.\n- Set the tracking URI and enable autolog for your client library.\n- Run your code and open the UI on local port 5000.\n\nPrerequisites and limits: The README quick start uses uv and an OpenAI client; the wizard needs a coding agent installed.\n\n- Piping a shell script from the web runs remote code; inspect it first.\n- Usage figures in the README were not verified.\n\nThe README licence badge points to LICENSE.txt in the repository; read it for the terms.\n\nWritten from the README text only. 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