Adding Instructor-Based Response Model Feature to Model Adapters#52
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Adding Instructor-Based Response Model Feature to Model Adapters#52
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Integrate the instructor library to provide validated structured outputs from LLM calls. ModelAdapter.chat() now accepts a response_model parameter (any Pydantic BaseModel), with _structured_chat() implemented across all four provider adapters (OpenAI, Anthropic, Google GenAI, LiteLLM). Simplifies simulators by replacing ~150 lines of manual JSON extraction and retry logic with instructor's automatic validation and retries. Adds maseval.core.instructor module with helpers for creating instructor-patched clients and flattening Pydantic schemas. PR: #49
* bugfix enables passing generation parameters to model adapter for google genai.
* fixed bug in model adapter * added test
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waiting for 567-labs/instructor#2210 |
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CHANGELOG.mdunder[Unreleased]sectionExample:
- Support for multi-agent tracing (PR:#123)Architecture (if applicable)
maseval/core/do NOT import frommaseval/interface/Additional Notes