Chore(deps-dev): Bump mlflow from 2.6 to 2.7.1

[dependabot]

Bumps mlflow from 2.6 to 2.7.1.

Release notes

Sourced from mlflow's releases.

MLflow 2.7.1 Release

MLflow 2.7.1 is a patch release containing the following features, bug fixes and changes:

Features:

• [Gateway / Databricks] Add the set_limits and get_limits APIs for AI Gateway routes within Databricks (#9516, @​zhe-db)
• [Artifacts / Databricks] Add support for parallelized download and upload of artifacts within Unity Catalog (#9498, @​jerrylian-db)

Bug fixes:

• [Models / R] Fix a critical bug with the R client that prevents models from being loaded (#9624, @​BenWilson2)
• [Artifacts / Databricks] Disable multi-part download functionality for UC Volumes local file destination when downloading models (#9631, @​BenWilson2)

Small bug fixes and documentation updates:

#9640, @​annzhang-db; #9622, @​harupy

MLflow 2.7.0 includes several major features and improvements

• [UI / Gateway] We are excited to announce the Prompt Engineering UI. This new addition offers a suite of tools tailored for efficient prompt development, testing, and evaluation for LLM use cases. Integrated directly into the MLflow AI Gateway, it provides a seamless experience for designing, tracking, and deploying prompt templates. To read about this new feature, see the documentation at https://mlflow.org/docs/latest/llms/prompt-engineering.html (#9503, @​prithvikannan)

Features:

• [Gateway] Introduce MosaicML as a supported provider for the MLflow AI Gateway (#9459, @​arpitjasa-db)
• [Models] Add support for using a snapshot download location when loading a transformers model as pyfunc (#9362, @​serena-ruan)
• [Server-infra] Introduce plugin support for MLflow Tracking Server authentication (#9191, @​barrywhart)
• [Artifacts / Model Registry] Add support for storing artifacts using the R2 backend (#9490, @​shichengzhou-db)
• [Artifacts] Improve upload and download performance for Azure-based artifact stores (#9444, @​jerrylian-db)
• [Sagemaker] Add support for deploying models to Sagemaker Serverless inference endpoints (#9085, @​dogeplusplus)

Bug fixes:

• [Gateway] Fix a credential expiration bug by re-resolving AI Gateway credentials before each request (#9518, @​dbczumar)
• [Gateway] Fix a bug where search_routes would raise an exception when no routes have been defined on the AI Gateway server (#9387, @​QuentinAmbard)
• [Gateway] Fix compatibility issues with pydantic 2.x for AI gateway (#9339, @​harupy)
• [Gateway] Fix an initialization issue in the AI Gateway that could render MLflow nonfunctional at import if dependencies were conflicting. (#9337, @​BenWilson2)
• [Artifacts] Fix a correctness issue when downloading large artifacts to fuse mount paths on Databricks (#9545, @​BenWilson2)

Documentation updates:

• [Docs] Add documentation for the Giskard community plugin for mlflow.evaluate (#9183, @​rabah-khalek)

Small bug fixes and documentation updates:

#9605, #9603, #9602, #9595, #9597, #9587, #9590, #9588, #9586, #9584, #9583, #9582, #9581, #9580, #9577, #9546, #9566, #9569, #9562, #9564, #9561, #9528, #9506, #9503, #9492, #9491, #9485, #9445, #9430, #9429, #9427, #9426, #9424, #9421, #9419, #9409, #9408, #9407, #9394, #9389, #9395, #9393, #9390, #9370, #9356, #9359, #9357, #9345, #9340, #9328, #9329, #9326, #9304, #9325, #9323, #9322, #9319, #9314, @​harupy; #9568, #9520, @​dbczumar; #9593, @​jerrylian-db; #9574, #9573, #9480, #9332, #9335, @​BenWilson2; #9556, @​shichengzhou-db; #9570, #9540, #9533, #9517, #9354, #9453, #9338, @​prithvikannan; #9565, #9560, #9536, #9504, #9476, #9481, #9450, #9466, #9418, #9397, @​serena-ruan; #9489, @​dnerini; #9512, #9479, #9355, #9351, #9289 @​chenmoneygithub; #9488, @​bbqiu; #9474, @​apurva-koti; #9505, @​arpitjasa-db; #9261, @​donour; #9336, #9414, #9353, @​mberk06; #9451, @​Bncer; #9432, @​barrywhart; #9347, @​GraceBrigham; #9428, #9420, #9406, @​WeichenXu123; #9410, @​aloahPGF; #9396, #9384, #9372, @​Godwin-T; #9373, @​fabiansefranek; #9382, @​Sai-Suraj-27; #9378, @​saidattu2003; #9375, @​Increshi; #9358, @​smurching; #9366, #9330, @​Dev-98; #9364, @​Sandeep1005; #9349, #9348, @​AmirAflak; #9308, @​danilopeixoto; #9596, @​ShorthillsAI; #9567, @​Beramos; #9524, @​rabah-khalek; #9312, @​dependabot[bot]

Changelog

Sourced from mlflow's changelog.

2.7.1 (2023-09-17)

MLflow 2.7.1 is a patch release containing the following features, bug fixes and changes:

Features:

• [Gateway / Databricks] Add the set_limits and get_limits APIs for AI Gateway routes within Databricks (#9516, @​zhe-db)
• [Artifacts / Databricks] Add support for parallelized download and upload of artifacts within Unity Catalog (#9498, @​jerrylian-db)

Bug fixes:

• [Models / R] Fix a critical bug with the R client that prevents models from being loaded (#9624, @​BenWilson2)
• [Artifacts / Databricks] Disable multi-part download functionality for UC Volumes local file destination when downloading models (#9631, @​BenWilson2)

Small bug fixes and documentation updates:

#9640, @​annzhang-db; #9622, @​harupy

2.7.0 (2023-09-12)

MLflow 2.7.0 includes several major features and improvements

• [UI / Gateway] We are excited to announce the Prompt Engineering UI. This new addition offers a suite of tools tailored for efficient prompt development, testing, and evaluation for LLM use cases. Integrated directly into the MLflow AI Gateway, it provides a seamless experience for designing, tracking, and deploying prompt templates. To read about this new feature, see the documentation at https://mlflow.org/docs/latest/llms/prompt-engineering.html (#9503, @​prithvikannan)

Features:

• [Gateway] Introduce MosaicML as a supported provider for the MLflow AI Gateway (#9459, @​arpitjasa-db)
• [Models] Add support for using a snapshot download location when loading a transformers model as pyfunc (#9362, @​serena-ruan)
• [Server-infra] Introduce plugin support for MLflow Tracking Server authentication (#9191, @​barrywhart)
• [Artifacts / Model Registry] Add support for storing artifacts using the R2 backend (#9490, @​shichengzhou-db)
• [Artifacts] Improve upload and download performance for Azure-based artifact stores (#9444, @​jerrylian-db)
• [Sagemaker] Add support for deploying models to Sagemaker Serverless inference endpoints (#9085, @​dogeplusplus)

Bug fixes:

• [Gateway] Fix a credential expiration bug by re-resolving AI Gateway credentials before each request (#9518, @​dbczumar)
• [Gateway] Fix a bug where search_routes would raise an exception when no routes have been defined on the AI Gateway server (#9387, @​QuentinAmbard)
• [Gateway] Fix compatibility issues with pydantic 2.x for AI gateway (#9339, @​harupy)
• [Gateway] Fix an initialization issue in the AI Gateway that could render MLflow nonfunctional at import if dependencies were conflicting. (#9337, @​BenWilson2)
• [Artifacts] Fix a correctness issue when downloading large artifacts to fuse mount paths on Databricks (#9545, @​BenWilson2)

Documentation updates:

• [Docs] Add documentation for the Giskard community plugin for mlflow.evaluate (#9183, @​rabah-khalek)

Small bug fixes and documentation updates:

#9605, #9603, #9602, #9595, #9597, #9587, #9590, #9588, #9586, #9584, #9583, #9582, #9581, #9580, #9577, #9546, #9566, #9569, #9562, #9564, #9561, #9528, #9506, #9503, #9492, #9491, #9485, #9445, #9430, #9429, #9427, #9426, #9424, #9421, #9419, #9409, #9408, #9407, #9394, #9389, #9395, #9393, #9390, #9370, #9356, #9359, #9357, #9345, #9340, #9328, #9329, #9326, #9304, #9325, #9323, #9322, #9319, #9314, @​harupy; #9568, #9520, @​dbczumar; #9593, @​jerrylian-db; #9574, #9573, #9480, #9332, #9335, @​BenWilson2; #9556, @​shichengzhou-db; #9570, #9540, #9533, #9517, #9354, #9453, #9338, @​prithvikannan; #9565, #9560, #9536, #9504, #9476, #9481, #9450, #9466, #9418, #9397, @​serena-ruan; #9489, @​dnerini; #9512, #9479, #9355, #9351, #9289 @​chenmoneygithub; #9488, @​bbqiu; #9474, @​apurva-koti; #9505, @​arpitjasa-db; #9261, @​donour; #9336, #9414, #9353, @​mberk06; #9451, @​Bncer; #9432, @​barrywhart; #9347, @​GraceBrigham; #9428, #9420, #9406, @​WeichenXu123; #9410, @​aloahPGF; #9396, #9384, #9372, @​Godwin-T; #9373, @​fabiansefranek; #9382, @​Sai-Suraj-27; #9378, @​saidattu2003; #9375, @​Increshi; #9358, @​smurching; #9366, #9330, @​Dev-98; #9364, @​Sandeep1005; #9349, #9348, @​AmirAflak; #9308, @​danilopeixoto; #9596, @​ShorthillsAI; #9567, @​Beramos; #9524, @​rabah-khalek; #9312, @​dependabot[bot]

2.6.0 (2023-08-15)

... (truncated)

Commits

• 2801858 Run python3 dev/update_mlflow_versions.py pre-release ... (#9649)
• c74f6cf Fix prefix for log_eval_table (#9640)
• 74c7f27 Add set_limits and get_limits API in mlflow client for AI Gateway (#9516)
• 50e100b Add parallelization to S3ArtifactRepo artifact uploading and downloading (#9498)
• 3be2fe8 Fix create_tmp_dir (#9622)
• 808aad4 Fix returned path parsing bug from R cli handler when loading models (#9624)
• 7202af3 Add UC Volumes local target directory as an MPD disable condition (#9631)
• 09f0dbf Run python3 dev/update_mlflow_versions.py pre-release ... (#9612)
• af9b00a Run python3 dev/update_requirements.py --requirements-... (#9609)
• ea70610 Run python3 dev/update_ml_package_versions.py (#9611)
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[dependabot]

Looks like mlflow is up-to-date now, so this is no longer needed.