from typing import Final import litellm from litellm.llms.base_llm.ocr.transformation import OCRResponse from litellm.rust_bridge import ocr as native_ocr from tests.test_litellm_rust.support.recording_server import RecordingServer OCR_DOCUMENT: Final = {"type": "document_url", "document_url": "data:application/pdf;base64,YWJj"} OCR_MODEL: Final = "mistral/mistral-ocr-latest" OCR_RESPONSE: Final = { "pages": [{"index": 0, "markdown": "native OCR response", "images": [], "dimensions": None}], "model": "mistral-ocr-latest", "usage_info": {"pages_processed": 1, "doc_size_bytes": 3}, } def ocr_arguments(server: RecordingServer, **kwargs: object) -> dict[str, object]: return { "model": OCR_MODEL, "document": dict(OCR_DOCUMENT), "api_key": "test-key", "api_base": server.base_url, **kwargs, } def call_ocr(server: RecordingServer, **kwargs: object) -> OCRResponse: response: Final = litellm.ocr(**ocr_arguments(server, **kwargs)) if not isinstance(response, OCRResponse): raise TypeError(f"Expected OCRResponse, got {type(response).__name__}") return response async def call_aocr(server: RecordingServer, **kwargs: object) -> OCRResponse: return await litellm.aocr(**ocr_arguments(server, **kwargs)) def call_native_ocr(server: RecordingServer, **kwargs: object) -> OCRResponse: return native_ocr.ocr(ocr_arguments(server, **kwargs)) async def call_native_aocr(server: RecordingServer, **kwargs: object) -> OCRResponse: return await native_ocr.aocr(ocr_arguments(server, **kwargs)) def request_body(kwargs: dict[str, object]) -> dict[str, object]: additional_args = kwargs["additional_args"] assert isinstance(additional_args, dict) body = additional_args["complete_input_dict"] assert isinstance(body, dict) return body def request_headers(kwargs: dict[str, object]) -> dict[str, object]: additional_args = kwargs["additional_args"] assert isinstance(additional_args, dict) headers = additional_args["headers"] assert isinstance(headers, dict) return headers