chore(deps): Update mlflow[kubernetes,langchain] requirement from <4,>=3.13.0 to >=3.14.0,<4 in /a2a/weather_service by dependabot[bot] · Pull Request #697 · kagenti/agent-examples

dependabot · 2026-07-10T05:13:23Z

Updates the requirements on mlflow[kubernetes,langchain] to permit the latest version.

Release notes

Sourced from mlflow[kubernetes,langchain]'s releases.

v3.14.0

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

[Models] Change mlflow.sklearn serialization_format default from cloudpickle to skops (#23987, @copilot-swe-agent)

[Models] Change serialization_format default to "pt2" for mlflow.pytorch.log_model and mlflow.pytorch.save_model (#23988, @copilot-swe-agent)

[Models] Change serialization_format default to "skops" in mlflow.lightgbm log_model/save_model (#23986, @copilot-swe-agent)

Other Assorted Features & Improvements:

[Evaluation / UI] [3/3] Show regression-test results in the existing eval-run UI (#23985, @B-Step62)

[Prompts / UI] Add "Save prompt to registry" action to the Prompt Playground (#24021, @B-Step62)

[Prompts] Prompt Playground (#23273, @TomeHirata)

[Evaluation] [2/3] Add EvaluationResult.passed/.reason for @mlflow.test assertions (#23869, @B-Step62)

[UI] Review queues: list the affected queues in the delete-question confirmation (#24002, @kriscon-db)

[UI] Add shareable review queue URLs with a startReview deep link (#23941, @harupy)

[UI] Allow editing a completed review in place in focus mode (#23967, @kriscon-db)

[Tracing] Add x-mlflow-run-id support to OTLP trace ingestion (#23664, @sanatb187)

[Evaluation / Tracing] [1/3] Add @mlflow.test pytest marker and assertion framework (#23864, @B-Step62)

[UI] Improve review queue empty states with onboarding content (#23903, @B-Step62)

[UI] Add mlflow skills view/list CLI (#23907, @joshuawong-db)

[UI] Improve review queue list: flat layout, sortable columns, status filter (#23902, @B-Step62)

[Tracing] Add MLFLOW_WORKSPACE support to OSS auth provider (#23927, @Nehanth)

[Gateway] Add cached token pricing to Databricks model catalog (#23901, @TomeHirata)

[Evaluation] Add MLFLOW_GENAI_JUDGE_DEFAULT_MODEL environment variable (#23860, @B-Step62)

[Evaluation] Wire "Run judge(s)" submission in "Run Eval" in Evaluations Run page to POST /mlflow/genai/evaluate/invoke (#23781, @aaronteo-db)

[Evaluation] Add rule-based built-in scorers: RegexMatch, PIIDetection, ResponseLength (#22571, @debu-sinha)

[Tracing] Support Databricks backend in mlflow agent setup (#23783, @harupy)

[Evaluation] Add POST /mlflow/genai/evaluate/invoke handler & job for UI-triggered eval runs (#23779, @aaronteo-db)

[Tracing] [Claude Code] Support UC trace location via MLFLOW_TRACE_LOCATION (#23770, @B-Step62)

[Tracing] [Codex] Support UC trace location via MLFLOW_TRACE_LOCATION (#23771, @B-Step62)

[Evaluation / Tracking] [3/N] Label schemas: handlers + SDK + REST client (#23603, @kriscon-db)

[Tracing / Tracking] Add run_id support for trace APIs (#23629, @sanatb187)

[Evaluation / UI] Dataset v2 port (#23560, @B-Step62)

[Evaluation / Tracking] Add OSS-native label schema entity, validation, and SQL store (#23597, @kriscon-db)

[Tracing] Support mapping gen_ai.conversation.id to MLflow trace session (#23584, @SahilKumar75)

[Tracing / UI] Added polling logic to live check and auto-refresh traces tab empty state with trace first ingestion (#23184, @vivian-xie-db)

[Tracing] Add MlflowWalSpanExporter to hand traces off to the WAL daemon (#23641, @aaronteo-db)

[Tracing] Support native UC trace ingestion from TypeScript SDK (#23562, @B-Step62)

[Evaluation] Add Google ADK LLM judge scorers (Hallucination, Safety, ResponseEvaluation) (#22496, @debu-sinha)

... (truncated)

Changelog

Sourced from mlflow[kubernetes,langchain]'s changelog.

3.14.0 (2026-06-17)

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

[Models] Change mlflow.sklearn serialization_format default from cloudpickle to skops (#23987, @copilot-swe-agent)

[Models] Change serialization_format default to "pt2" for mlflow.pytorch.log_model and mlflow.pytorch.save_model (#23988, @copilot-swe-agent)

[Models] Change serialization_format default to "skops" in mlflow.lightgbm log_model/save_model (#23986, @copilot-swe-agent)

Other Assorted Features & Improvements:

[Evaluation / UI] [3/3] Show regression-test results in the existing eval-run UI (#23985, @B-Step62)

[Prompts / UI] Add "Save prompt to registry" action to the Prompt Playground (#24021, @B-Step62)

[Prompts] Prompt Playground (#23273, @TomeHirata)

[Evaluation] [2/3] Add EvaluationResult.passed/.reason for @mlflow.test assertions (#23869, @B-Step62)

[UI] Review queues: list the affected queues in the delete-question confirmation (#24002, @kriscon-db)

[UI] Add shareable review queue URLs with a startReview deep link (#23941, @harupy)

[UI] Allow editing a completed review in place in focus mode (#23967, @kriscon-db)

[Tracing] Add x-mlflow-run-id support to OTLP trace ingestion (#23664, @sanatb187)

[Evaluation / Tracing] [1/3] Add @mlflow.test pytest marker and assertion framework (#23864, @B-Step62)

[UI] Improve review queue empty states with onboarding content (#23903, @B-Step62)

[UI] Add mlflow skills view/list CLI (#23907, @joshuawong-db)

[UI] Improve review queue list: flat layout, sortable columns, status filter (#23902, @B-Step62)

[Tracing] Add MLFLOW_WORKSPACE support to OSS auth provider (#23927, @Nehanth)

[Gateway] Add cached token pricing to Databricks model catalog (#23901, @TomeHirata)

[Evaluation] Add MLFLOW_GENAI_JUDGE_DEFAULT_MODEL environment variable (#23860, @B-Step62)

[Evaluation] Wire "Run judge(s)" submission in "Run Eval" in Evaluations Run page to POST /mlflow/genai/evaluate/invoke (#23781, @aaronteo-db)

[Evaluation] Add rule-based built-in scorers: RegexMatch, PIIDetection, ResponseLength (#22571, @debu-sinha)

[Tracing] Support Databricks backend in mlflow agent setup (#23783, @harupy)

[Evaluation] Add POST /mlflow/genai/evaluate/invoke handler & job for UI-triggered eval runs (#23779, @aaronteo-db)

[Tracing] [Claude Code] Support UC trace location via MLFLOW_TRACE_LOCATION (#23770, @B-Step62)

[Tracing] [Codex] Support UC trace location via MLFLOW_TRACE_LOCATION (#23771, @B-Step62)

[Evaluation / Tracking] [3/N] Label schemas: handlers + SDK + REST client (#23603, @kriscon-db)

[Tracing / Tracking] Add run_id support for trace APIs (#23629, @sanatb187)

[Evaluation / UI] Dataset v2 port (#23560, @B-Step62)

[Evaluation / Tracking] Add OSS-native label schema entity, validation, and SQL store (#23597, @kriscon-db)

[Tracing] Support mapping gen_ai.conversation.id to MLflow trace session (#23584, @SahilKumar75)

[Tracing / UI] Added polling logic to live check and auto-refresh traces tab empty state with trace first ingestion (#23184, @vivian-xie-db)

[Tracing] Add MlflowWalSpanExporter to hand traces off to the WAL daemon (#23641, @aaronteo-db)

[Tracing] Support native UC trace ingestion from TypeScript SDK (#23562, @B-Step62)

... (truncated)

Commits

86cd7f5 Bump version to 3.14.0 (#24052)
2db0fed Add docs page for @mlflow.test pytest regression testing (#24011)
6786bef [3/3] Show regression-test results in the existing eval-run UI (#23985)
fb1a4ed Skip tracking backend prompt in mlflow agent setup when `MLFLOW_TRACKING_UR...
4d7a1b3 Fix ChrfScore RAGAS scorer instantiation due to class name mismatch (#24047)
a64ca84 [Fix] Restore scrolling in the Playground conversation area (#24042)
03dd3d2 Fix make_judge doc: self-referential deprecation note and link typo (#24046)
1b64388 [Fix] Map OpenAI Agents SDK guardrail spans to SpanType.GUARDRAIL (#24044)
4b60b87 Add "Save prompt to registry" action to the Prompt Playground (#24021)
437d9f6 Surface review-question modal failures as toasts (#24035)
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Updates the requirements on [mlflow[kubernetes,langchain]](https://github.com/mlflow/mlflow) to permit the latest version. - [Release notes](https://github.com/mlflow/mlflow/releases) - [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md) - [Commits](mlflow/mlflow@v3.13.0...v3.14.0) --- updated-dependencies: - dependency-name: mlflow[kubernetes,langchain] dependency-version: 3.14.0 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>

dependabot Bot added dependencies Pull requests that update a dependency file python:uv Pull requests that update python:uv code labels Jul 10, 2026

rubambiza added this to Kagenti Issue Prioritization Jul 10, 2026

github-project-automation Bot moved this to New/ToDo in Kagenti Issue Prioritization Jul 10, 2026

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chore(deps): Update mlflow[kubernetes,langchain] requirement from <4,>=3.13.0 to >=3.14.0,<4 in /a2a/weather_service#697

chore(deps): Update mlflow[kubernetes,langchain] requirement from <4,>=3.13.0 to >=3.14.0,<4 in /a2a/weather_service#697
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dependabot Bot commented on behalf of github Jul 10, 2026

v3.14.0

Major New Features

Breaking Changes

Other Assorted Features & Improvements:

3.14.0 (2026-06-17)

Major New Features

Breaking Changes

Other Assorted Features & Improvements:

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