Files
LangBot/pkg/provider/modelmgr/requesters/deepseekchatcmpl.py
T
2025-03-01 00:12:23 +08:00

54 lines
1.7 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
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