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ci(deps): bump astral-sh/setup-uv from 3 to 6#2

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Josephrp merged 1 commit intomainfrom
dependabot/github_actions/astral-sh/setup-uv-6
Oct 1, 2025
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ci(deps): bump astral-sh/setup-uv from 3 to 6#2
Josephrp merged 1 commit intomainfrom
dependabot/github_actions/astral-sh/setup-uv-6

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⚠️ Dependabot is rebasing this PR ⚠️

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Bumps astral-sh/setup-uv from 3 to 6.

Release notes

Sourced from astral-sh/setup-uv's releases.

v6.8.0 🌈 Add **/*.py.lock to cache-dependency-glob

Changes

Thanks to @​parched the default cache-dependency-glob now also find all lock files generated by uv lock --script

🚀 Enhancements

🧰 Maintenance

📚 Documentation

  • README.md: Fix Python versions and update checkout action @​cclauss (#572)

⬆️ Dependency updates

v6.6.0 🌈 Support for .tools-versions

Changes

This release adds support for asdf .tool-versions in the version-file input

🐛 Bug fixes

🚀 Enhancements

🧰 Maintenance

v6.2.1 🌈 Fix "No such file or directory version-manifest.json"

Changes

Release v6.2.0 contained a bug that slipped through the automated test. The action tried to look for the default version-manifest.json in the root of the repostory using this action instead of relative to the action itself.

🐛 Bug fixes

... (truncated)

Commits
  • d0cc045 Always show prune cache output (#597)
  • 2841f9f Bump zizmorcore/zizmor-action from 0.1.2 to 0.2.0 (#571)
  • e554b93 Add **/*.py.lock to cache-dependency-glob (#590)
  • c7d85d9 chore: update known versions for 0.8.20
  • 07f2cb5 persist credentials for version update (#584)
  • 208b0c0 README.md: Fix Python versions and update checkout action (#572)
  • b75a909 bump deps (#569)
  • ffff8aa Bump github/codeql-action from 3.29.11 to 3.30.3 (#566)
  • 95d0e23 Bump actions/setup-node from 4.4.0 to 5.0.0 (#551)
  • dc724a1 Add inputs restore-cache and save-cache (#568)
  • Additional commits viewable in compare view

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Bumps [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv) from 3 to 6.
- [Release notes](https://github.com/astral-sh/setup-uv/releases)
- [Commits](astral-sh/setup-uv@v3...v6)

---
updated-dependencies:
- dependency-name: astral-sh/setup-uv
  dependency-version: '6'
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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@Josephrp Josephrp merged commit 3e3d267 into main Oct 1, 2025
3 of 9 checks passed
@dependabot dependabot bot deleted the dependabot/github_actions/astral-sh/setup-uv-6 branch October 1, 2025 07:27
Josephrp pushed a commit that referenced this pull request Oct 12, 2025
Removes all references to non-existent @defer decorator from codebase.
The @defer decorator never existed in Pydantic AI. Tools are correctly
implemented using standard Pydantic AI patterns.

Changes:
- Removed 16 @defer comments from tool files
- Updated README Known Issues section
- All tools continue to work correctly (no functional changes)

Fixes #2
Josephrp pushed a commit that referenced this pull request Oct 12, 2025
Removes all references to non-existent @defer decorator from codebase.
The @defer decorator never existed in Pydantic AI. Tools are correctly
implemented using standard Pydantic AI patterns.

Changes:
- Removed 16 @defer comments from tool files
- Updated README Known Issues section
- All tools continue to work correctly (no functional changes)

Fixes #2

Signed-off-by: marioaderman <108372419+MarioAderman@users.noreply.github.com>
Josephrp pushed a commit that referenced this pull request Oct 12, 2025
* fix: remove misleading @defer decorator comments

Removes all references to non-existent @defer decorator from codebase.
The @defer decorator never existed in Pydantic AI. Tools are correctly
implemented using standard Pydantic AI patterns.

Changes:
- Removed 16 @defer comments from tool files
- Updated README Known Issues section
- All tools continue to work correctly (no functional changes)

Fixes #2

* feat: add custom LLM model wrappers for Pydantic AI

- Implement VLLMModel wrapper around existing VLLMClient
- Add OpenAICompatibleModel for vLLM, llama.cpp, TGI servers
- Provide factory methods (from_vllm, from_llamacpp, from_tgi)
- Include streaming support and message conversion
- Add convenience aliases for VLLMModel and LlamaCppModel

* fix: update OpenAICompatibleModel to use OllamaProvider and add tests

- Replace non-existent OpenAIProvider with OllamaProvider from pydantic_ai
- Remove dataclass decorator to properly inherit from OpenAIChatModel
- Fix factory methods to pass model_name as positional argument
- Add comprehensive test suite with 8 passing tests
- Skip integration tests that require actual vLLM servers

* refactor: integrate LLM models with Hydra configuration system

- Add from_config() method to support Hydra DictConfig
- Update all factory methods (from_vllm, from_llamacpp, from_tgi, from_custom) to accept optional config
- Support config override via direct parameters
- Extract generation settings from config (temperature, max_tokens, etc.)
- Add environment variable fallbacks (LLM_BASE_URL, LLM_API_KEY)
- Create config files for llamacpp, tgi, and vllm
- Update tests to cover both config-based and direct parameter approaches
- All 10 tests passing

* feat: add LLM client support with Pydantic validation (#10)

- Add LLMModelConfig and GenerationConfig datatypes
- Remove redundant vllm_model.py
- Update openai_compatible_model.py with validation
- Rewrite tests to use actual config files (30 tests)

* fix: add LLM datatypes to __all__ export list

* solves type and style errors

* Add comprehensive LLM model configuration documentation

All code examples include proper type guards and annotations.

* Add Models section to core documentation

Auto-generates API reference for LLM model classes.
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