- Support passing runtime env config for ray executor
- if user is skipping DB, then user also doesnt care about the response cap
- Bump mkdocstrings and ensure runtime image uses bookworm
- Update to bookworm base docker image
- add libz-dev to apt-get install
- bump pyarrow
- pin numpy
- bump Ray and llvmlite
- bump semver to version 3
- Add new dask expr as valid types in dask collection methods
- Ensure new dask dataframes are registered in collections logic
- bump dask
- update poetry.lock
- Remove excess dtos in configs api
- Ensure mappers resource is included in local executor if not specified
- Fix bug with default configuration and run_retention_duration
- ensure we document how to configure the Cluster Memory Actor, bump Ray to 2.10.0, push poetry.lock
- Fix unit tests for ray cluster memory
- Add support for controlling ray cluster memory actor placement
- Fix bug in local executor cluster memory and add object store strategy
- improve the paperboy example, add comments for how scaling up could be considered
- ci: Ensure latest tags are built on tag pipelines
- Reinstante flowml bundled docker images and include README
- Initial project setup 🎉