litellm/tests/test_litellm_rust/support/requests.py
2026-09-18 15:45:08 -07:00

97 lines
3.4 KiB
Python

from typing import Final
import litellm
from litellm.llms.base_llm.ocr.transformation import OCRResponse
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},
}
MESSAGES_MODEL: Final = "anthropic/claude-sonnet-5"
MESSAGES: Final = ({"role": "user", "content": "Hello"},)
MESSAGES_RESPONSE: Final = {
"id": "msg_native",
"type": "message",
"role": "assistant",
"model": "claude-sonnet-5",
"content": [{"type": "text", "text": "Hello from native Messages"}],
"stop_reason": "end_turn",
"stop_sequence": None,
"usage": {"input_tokens": 5, "output_tokens": 4},
}
MESSAGES_EVENTS: Final = (
("message_start", {"type": "message_start", "message": {**MESSAGES_RESPONSE, "content": [], "stop_reason": None}}),
("content_block_start", {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}}),
(
"content_block_delta",
{
"type": "content_block_delta",
"index": 0,
"delta": {"type": "text_delta", "text": "Hello from native Messages"},
},
),
("content_block_stop", {"type": "content_block_stop", "index": 0}),
(
"message_delta",
{
"type": "message_delta",
"delta": {"stop_reason": "end_turn", "stop_sequence": None},
"usage": {"output_tokens": 4},
},
),
("message_stop", {"type": "message_stop"}),
)
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 call_ocr(server, **kwargs)
async def call_native_aocr(server: RecordingServer, **kwargs: object) -> OCRResponse:
return await call_aocr(server, **kwargs)
async def call_native(server: RecordingServer, asynchronous: bool, **kwargs: object) -> OCRResponse:
return await call_native_aocr(server, **kwargs) if asynchronous else call_native_ocr(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