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chore: 🚢 release v0.10.1 (#275)
This PR contains the generated changelog for the release v0.10.1. ⚠️ **Merging this PR will immediately trigger a new release**. ⚠️ To specify additional release notes, please edit this comment after the following line. --- This release brings several new features around file-based input / output data handling and experimental support for logging metrics / artifacts to MLFlow or disk. For more information on how to use the new logging capabilities please refer to the [Tesseract Core documentation](https://docs.pasteurlabs.ai/projects/tesseract-core/latest/content/using-tesseracts/advanced.html#logging-metrics-and-artifacts). --------- Co-authored-by: Dion Häfner <dion.haefner@simulation.science>
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CHANGELOG.md

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All notable changes to this project will be documented in this file.
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## [0.10.1] - 2025-07-21
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### Features
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- Add --input-path to tesseract cli and TESSERACT_INPUT_PATH to runtime (#249)
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- Introduce logging metrics, parameters and artifacts to file or MLflow (#229)
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- Add top-level description field to OAS (#268)
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### Bug Fixes
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- Ensure tracebacks are always propagated through Python client (#228)
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- Ensure default workdir is writable (#263)
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- Tesseract-runtime default io paths (#266)
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- Add volume statements to dockerfile to ensure logs / metrics / data are always written to a volume (#270)
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- Add tests for MLflow backend using MLflow's capabillity to write to file (#271)
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- Bug in volume error handling (#272)
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### Refactor
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- Use RuntimeConfig for --input-path/--output-path (#264)
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### Documentation
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- Fix docstring on metrics example (#269)
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## [0.10.0] - 2025-07-11
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### Features

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