mirror of
https://github.com/langbot-app/LangBot.git
synced 2025-11-25 11:29:39 +08:00
155 lines
4.9 KiB
Python
155 lines
4.9 KiB
Python
from __future__ import annotations
|
|
|
|
import asyncio
|
|
import typing
|
|
import json
|
|
from typing import AsyncGenerator
|
|
|
|
import openai
|
|
import openai.types.chat.chat_completion as chat_completion
|
|
import httpx
|
|
|
|
from .. import api, entities, errors
|
|
from ....core import entities as core_entities, app
|
|
from ... import entities as llm_entities
|
|
from ...tools import entities as tools_entities
|
|
|
|
|
|
@api.requester_class("openai-chat-completions")
|
|
class OpenAIChatCompletions(api.LLMAPIRequester):
|
|
"""OpenAI ChatCompletion API 请求器"""
|
|
|
|
client: openai.AsyncClient
|
|
|
|
requester_cfg: dict
|
|
|
|
def __init__(self, ap: app.Application):
|
|
self.ap = ap
|
|
|
|
self.requester_cfg = self.ap.provider_cfg.data['requester']['openai-chat-completions']
|
|
|
|
async def initialize(self):
|
|
|
|
self.client = openai.AsyncClient(
|
|
api_key="",
|
|
base_url=self.requester_cfg['base-url'],
|
|
timeout=self.requester_cfg['timeout'],
|
|
http_client=httpx.AsyncClient(
|
|
proxies=self.ap.proxy_mgr.get_forward_proxies()
|
|
)
|
|
)
|
|
|
|
async def _req(
|
|
self,
|
|
args: dict,
|
|
) -> chat_completion.ChatCompletion:
|
|
self.ap.logger.debug(f"req chat_completion with args {args}")
|
|
return await self.client.chat.completions.create(**args)
|
|
|
|
async def _make_msg(
|
|
self,
|
|
chat_completion: chat_completion.ChatCompletion,
|
|
) -> llm_entities.Message:
|
|
chatcmpl_message = chat_completion.choices[0].message.dict()
|
|
|
|
message = llm_entities.Message(**chatcmpl_message)
|
|
|
|
return message
|
|
|
|
async def _closure(
|
|
self,
|
|
req_messages: list[dict],
|
|
use_model: entities.LLMModelInfo,
|
|
use_funcs: list[tools_entities.LLMFunction] = None,
|
|
) -> llm_entities.Message:
|
|
self.client.api_key = use_model.token_mgr.get_token()
|
|
|
|
args = self.requester_cfg['args'].copy()
|
|
args["model"] = use_model.name if use_model.model_name is None else use_model.model_name
|
|
|
|
if use_model.tool_call_supported:
|
|
tools = await self.ap.tool_mgr.generate_tools_for_openai(use_funcs)
|
|
|
|
if tools:
|
|
args["tools"] = tools
|
|
|
|
# 设置此次请求中的messages
|
|
messages = req_messages
|
|
args["messages"] = messages
|
|
|
|
# 发送请求
|
|
resp = await self._req(args)
|
|
|
|
# 处理请求结果
|
|
message = await self._make_msg(resp)
|
|
|
|
return message
|
|
|
|
async def _request(
|
|
self, query: core_entities.Query
|
|
) -> typing.AsyncGenerator[llm_entities.Message, None]:
|
|
"""请求"""
|
|
|
|
pending_tool_calls = []
|
|
|
|
req_messages = [ # req_messages 仅用于类内，外部同步由 query.messages 进行
|
|
m.dict(exclude_none=True) for m in query.prompt.messages
|
|
] + [m.dict(exclude_none=True) for m in query.messages]
|
|
|
|
# req_messages.append({"role": "user", "content": str(query.message_chain)})
|
|
|
|
msg = await self._closure(req_messages, query.use_model, query.use_funcs)
|
|
|
|
yield msg
|
|
|
|
pending_tool_calls = msg.tool_calls
|
|
|
|
req_messages.append(msg.dict(exclude_none=True))
|
|
|
|
while pending_tool_calls:
|
|
for tool_call in pending_tool_calls:
|
|
func = tool_call.function
|
|
|
|
parameters = json.loads(func.arguments)
|
|
|
|
func_ret = await self.ap.tool_mgr.execute_func_call(
|
|
query, func.name, parameters
|
|
)
|
|
|
|
msg = llm_entities.Message(
|
|
role="tool", content=json.dumps(func_ret, ensure_ascii=False), tool_call_id=tool_call.id
|
|
)
|
|
|
|
yield msg
|
|
|
|
req_messages.append(msg.dict(exclude_none=True))
|
|
|
|
# 处理完所有调用，继续请求
|
|
msg = await self._closure(req_messages, query.use_model, query.use_funcs)
|
|
|
|
yield msg
|
|
|
|
pending_tool_calls = msg.tool_calls
|
|
|
|
req_messages.append(msg.dict(exclude_none=True))
|
|
|
|
async def request(self, query: core_entities.Query) -> AsyncGenerator[llm_entities.Message, None]:
|
|
try:
|
|
async for msg in self._request(query):
|
|
yield msg
|
|
except asyncio.TimeoutError:
|
|
raise errors.RequesterError('请求超时')
|
|
except openai.BadRequestError as e:
|
|
if 'context_length_exceeded' in e.message:
|
|
raise errors.RequesterError(f'上文过长，请重置会话: {e.message}')
|
|
else:
|
|
raise errors.RequesterError(f'请求参数错误: {e.message}')
|
|
except openai.AuthenticationError as e:
|
|
raise errors.RequesterError(f'无效的 api-key: {e.message}')
|
|
except openai.NotFoundError as e:
|
|
raise errors.RequesterError(f'请求路径错误: {e.message}')
|
|
except openai.RateLimitError as e:
|
|
raise errors.RequesterError(f'请求过于频繁: {e.message}')
|
|
except openai.APIError as e:
|
|
raise errors.RequesterError(f'请求错误: {e.message}')
|