mirror of
https://github.com/langbot-app/LangBot.git
synced 2026-06-02 03:55:55 +00:00
55 lines
1.8 KiB
Python
55 lines
1.8 KiB
Python
from __future__ import annotations
|
||
|
||
from . import chatcmpl
|
||
from .. import entities, errors, requester
|
||
from ....core import entities as core_entities, app
|
||
from ... import entities as llm_entities
|
||
from ...tools import entities as tools_entities
|
||
|
||
|
||
@requester.requester_class("deepseek-chat-completions")
|
||
class DeepseekChatCompletions(chatcmpl.OpenAIChatCompletions):
|
||
"""Deepseek ChatCompletion API 请求器"""
|
||
|
||
def __init__(self, ap: app.Application):
|
||
self.requester_cfg = ap.provider_cfg.data['requester']['deepseek-chat-completions']
|
||
self.ap = ap
|
||
|
||
async def _closure(
|
||
self,
|
||
query: core_entities.Query,
|
||
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_funcs:
|
||
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
|
||
|
||
# deepseek 不支持多模态，把content都转换成纯文字
|
||
for m in messages:
|
||
if 'content' in m and isinstance(m["content"], list):
|
||
m["content"] = " ".join([c["text"] for c in m["content"]])
|
||
|
||
args["messages"] = messages
|
||
|
||
# 发送请求
|
||
resp = await self._req(args)
|
||
|
||
if resp is None:
|
||
raise errors.RequesterError('接口返回为空，请确定模型提供商服务是否正常')
|
||
|
||
# 处理请求结果
|
||
message = await self._make_msg(resp)
|
||
|
||
return message |