refactor: propose new AI function patterns via transformers prompter #5991
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- logprobs output mode - image+ text + file inputs - quantization via bits and bytes - structured outputs. - docs
…eatures - Introduced `TransformersPromptOptions` for structured configuration. - Added `ChatTemplateFormatter` for improved message handling. - Updated `TransformersProvider` to support new dependencies and error handling. - Removed deprecated `prompter` protocol and refactored related tests. - Enhanced integration tests for multimodal capabilities and quantization support. - Added comprehensive unit tests for new functionalities.
Introduces enhanced transformers prompter with improved typing system and modular configuration options as a proposal for evolving AI function patterns. This refactor demonstrates: - Cleaner separation of concerns with dedicated message processing - More granular configuration options (AutoTokenizerOptions, ChatTemplateOptions, etc.) - Simplified model loading interface - Better type safety and developer experience This is a proposal for team feedback on pattern evolution across AI functions.
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Summary
This PR introduces an enhanced transformers prompter as a proposal for evolving AI function patterns across the codebase. The refactor demonstrates improved architectural patterns that could be applied more broadly to AI functions.
Key Pattern Improvements
TransformersPrompterMessageProcessorAutoTokenizerOptions,AutoProcessorOptions,ChatTemplateOptions,GenerationConfigOptions,ModelLoadingOptions)TransformersPrompterModelLoaderWhy This Matters
This refactor proposes a pattern evolution that addresses:
Feedback Needed
This is a draft PR to gather team feedback on:
Test plan