litellm/tests/test_litellm_rust/contracts.py

60 lines
2.1 KiB
Python

from typing import Final
from litellm.llms.base_llm.ocr.transformation import OCRResponse
from litellm.rust_bridge import ocr as native_ocr
from tests.test_litellm_rust.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},
}
MESSAGES_MODEL: Final = "anthropic/claude-sonnet-4-5-20250929"
MESSAGES: Final = [{"role": "user", "content": "Hello"}]
MESSAGES_RESPONSE: Final = {
"id": "msg_native",
"type": "message",
"role": "assistant",
"model": "claude-sonnet-4-5-20250929",
"content": [{"type": "text", "text": "Hello from native Messages"}],
"stop_reason": "end_turn",
"stop_sequence": None,
"usage": {"input_tokens": 5, "output_tokens": 4},
}
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_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