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Update dependency mlflow to v3 - #25

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Update dependency mlflow to v3#25
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renovate/mlflow-3.x

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@renovate renovate Bot commented Jun 15, 2025

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ℹ️ Note

This PR body was truncated due to platform limits.

This PR contains the following updates:

Package Change Age Confidence
mlflow ==1.20.0==3.15.2 age confidence

Release Notes

mlflow/mlflow (mlflow)

v3.15.2

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MLflow 3.15.2 is a patch release that includes several major features and improvements.

Features:

Bug fixes:

v3.15.1

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MLflow 3.15.1 is a patch release that includes bug fixes and documentation updates.

Bug fixes:

Documentation updates:

v3.15.0

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MLflow 3.15.0 includes several major features and improvements

Major New Features
  • 🧩 MCP Registry: A centralized catalog for registering, versioning, and sharing Model Context Protocol servers — with semantic-versioned configs, promotable aliases, tags, auto-discovered tools, and ready-made connection instructions for Claude Code and .mcp.json. Manage it from the UI, REST API, or Python!
  • 🤖 MLflow Assistant enhancements: The in-app AI assistant now supports multiple LLM providers (Claude Code, Codex, and OpenAI-compatible/Gateway endpoints) chosen from a single settings page, displays live per-session token usage and estimated cost in the composer, and is easier to set up — mlflow agent setup can enable it in one prompt, with API keys stored securely in the Gateway's LLM Connections.
  • 🗂️ Sharable table views: Save named views of the Runs table — capturing columns, order, widths, filters, and sort — and share them by URL.
  • ⚡ Proxy-less artifact upload/download via presigned URLs: Large artifact transfers can now bypass the tracking server and talk directly to cloud storage (e.g. S3) through presigned URLs, cutting server load and timeouts on big files. We fall back to proxied transfer automatically for backward compatibility.
  • 🖼️ Multi-modal attachments in LLM judges: {{ trace }} judges created with make_judge() can now see images captured in trace spans via a new get_span_image tool, which fetches attachments as base64 data URLs and passes them to multimodal models (Anthropic, Gemini, and OpenAI-compatible via litellm) — enabling evaluation of vision tasks, screenshots, and other visual content.
Other Assorted Features & Improvements:

Bug fixes:

Documentation updates:

Small bug fixes and documentation updates:

#​24746, #​24747, #​24671, #​24637, #​24655, #​24459, #​24510, #​24629, #​24426, #​24554, #​24555, #​24556, #​24359, #​24460, #​24445, #​23676, #​24446, #​24268, #​24417, #​24358, #​24288, #​24250, #​24206, #​24165, #​23939, #​23936, #​23881, @​joshuawong-db; #​24743, #​24723, #​24720, #​24694, #​24695, #​24706, #​24698, #​24693, #​24636, #​24675, #​24673, #​24672, #​24663, #​24632, #​24630, #​24628, #​24627, #​24625, #​24548, #​24216, #​24208, #​24205, #​24158, #​24159, #​24136, #​24095, #​24119, #​24106, #​24104, #​24085, @​harupy; #​24736, @​henishborad; #​24717, #​24583, #​24582, #​24584, #​24685, #​24621, #​24604, #​24521, #​24482, #​24495, #​24484, #​24480, #​24481, #​24490, #​24374, #​24317, #​24299, @​B-Step62; #​24656, @​rrioh; #​24696, #​24600, #​24601, @​daniellok-db; #​24657, @​DaoDaoNoCode; #​24217, @​nananosirova; #​24645, #​24377, #​24492, #​24380, #​21417, #​24346, #​24297, #​24108, @​mprahl; #​24477, @​dkuc; #​24572, #​24520, #​24479, @​jonburdo; #​24505, @​PattaraS; #​24242, @​Killian-fal; #​24558, #​24540, #​24090, #​24139, #​24089, #​24061, #​24032, #​24030, @​aaronteo-db; #​24176, @​zcin; #​24412, @​AknA13; #​24437, @​smoorjani; #​24361, @​sun-andsky; #​23873, @​WeichenXu123; #​24240, #​24203, #​24178, @​TomeHirata; #​24225, #​24204, #​24166, #​24054, @​tanghaoji; #​23794, #​24171, @​kramaranya; #​23251, @​aakankshaduggal; #​24151, #​24150, @​xq-yin; #​24075, @​kevin-lyn

v3.14.0

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MLflow 3.14.0 includes several major features and improvements

Major New Features
  • 🚀 One-command agent onboarding with mlflow agent setup: Install MLflow, set up tracing, and hand your favorite coding agent (Claude Code, OpenAI Codex, or OpenCode) the MLflow skills to instrument your app, all from a single command.
  • Durable, low-latency tracing for Claude Code: Roll out Claude Code tracing across a team with confidence: a write-ahead-log keeps it from slowing the agent, overwhelming the tracking server, or losing traces on a network blip or crash.
  • 📝 Review Queues for traces: Assign traces to reviewers (or agents) and collect structured feedback and ground-truth annotations in the UI, written straight back onto the trace so they are immediately usable for evaluation.
  • 🗂️ Revamped evaluation dataset UI: Browse, inspect, edit, and bulk-manage evaluation dataset records directly in the UI, with click-through to the source trace.
  • 🧪 Pytest integration for regression testing: Write GenAI regression tests as plain pytest functions with the @mlflow.test marker, gate them in CI, and review test history and per-assertion judge results in the UI.
  • 🎛️ LLM Playground: Iterate on prompts in the browser against your AI Gateway endpoints and Prompt Registry versions, with settings, tools, structured output, and template variables.
Breaking Changes
Other Assorted Features & Improvements:

Bug fixes:

Note

PR body was truncated to here.


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