50 lines
1.7 KiB
Python
50 lines
1.7 KiB
Python
from typing import Awaitable, Callable, List
|
|
from openai import AsyncOpenAI, AsyncAzureOpenAI
|
|
from openai.types.chat import ChatCompletionMessageParam, ChatCompletionChunk
|
|
|
|
from api_types import ApiProviderInfo
|
|
|
|
MODEL_GPT_4_VISION = "gpt-4-vision-preview"
|
|
|
|
|
|
async def stream_openai_response(
|
|
messages: List[ChatCompletionMessageParam],
|
|
api_provider_info: ApiProviderInfo,
|
|
callback: Callable[[str], Awaitable[None]],
|
|
) -> str:
|
|
if api_provider_info.name == "openai":
|
|
client = AsyncOpenAI(
|
|
api_key=api_provider_info.api_key, base_url=api_provider_info.base_url
|
|
)
|
|
elif api_provider_info.name == "azure":
|
|
client = AsyncAzureOpenAI(
|
|
api_version=api_provider_info.api_version,
|
|
api_key=api_provider_info.api_key,
|
|
azure_endpoint=f"https://{api_provider_info.resource_name}.openai.azure.com/",
|
|
azure_deployment=api_provider_info.deployment_name,
|
|
)
|
|
else:
|
|
raise Exception("Invalid api_provider_info")
|
|
|
|
model = MODEL_GPT_4_VISION
|
|
|
|
# Base parameters
|
|
params = {"model": model, "messages": messages, "stream": True, "timeout": 600}
|
|
|
|
# Add 'max_tokens' only if the model is a GPT4 vision model
|
|
if model == MODEL_GPT_4_VISION:
|
|
params["max_tokens"] = 4096
|
|
params["temperature"] = 0
|
|
|
|
stream = await client.chat.completions.create(**params) # type: ignore
|
|
full_response = ""
|
|
async for chunk in stream: # type: ignore
|
|
assert isinstance(chunk, ChatCompletionChunk)
|
|
content = chunk.choices[0].delta.content or ""
|
|
full_response += content
|
|
await callback(content)
|
|
|
|
await client.close()
|
|
|
|
return full_response
|