feat: add embedding support to LLM providers (#3)#6
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* ci: add auto-release workflow on merge to stable Tags stable with current version, creates GitHub Release, and bumps patch version on source branch. Supports bump:major and bump:minor PR labels for controlling version increment. * ci: split release workflow into bump-on-PR and tag-on-merge - bump-version-on-pr-to-stable: auto-bumps patch version on main/* when PR is opened if source version <= stable version - release-on-merge-to-stable: tags + creates GitHub Release only - For major/minor bumps, manually edit pyproject.toml before PR * chore: bump version to 0.1.2 * feat: add embedding support to LLM providers Add centralized embedding functionality to dana.common.llm: - EmbeddingResponse type, EmbeddingNotSupportedError exception - embed()/embed_batch() on OpenAI, Gemini, Azure providers - Embedder class with sync/async support, auto-provider selection - Providers without embedding (Anthropic, Moonshot) raise clear errors - Config: embedding_models per provider in config.json - Unit tests (18 tests) and live integration tests --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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Tags stable with current version, creates GitHub Release, and bumps patch version on source branch. Supports bump:major and bump:minor PR labels for controlling version increment.
chore: bump version to 0.1.2
feat: add embedding support to LLM providers
Add centralized embedding functionality to dana.common.llm: