Files
LangBot/pkg/provider/modelmgr/requesters/giteeaichatcmpl.py
T
2025-07-13 20:30:17 +08:00

52 lines
1.5 KiB
Python

from __future__ import annotations
import typing
from . import chatcmpl
from .. import requester
import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
import langbot_plugin.api.entities.builtin.provider.message as provider_message
class GiteeAIChatCompletions(chatcmpl.OpenAIChatCompletions):
"""Gitee AI ChatCompletions API 请求器"""
default_config: dict[str, typing.Any] = {
'base_url': 'https://ai.gitee.com/v1',
'timeout': 120,
}
async def _closure(
self,
query: pipeline_query.Query,
req_messages: list[dict],
use_model: requester.RuntimeLLMModel,
use_funcs: list[resource_tool.LLMTool] = None,
extra_args: dict[str, typing.Any] = {},
) -> provider_message.Message:
self.client.api_key = use_model.token_mgr.get_token()
args = {}
args['model'] = use_model.model_entity.name
if use_funcs:
tools = await self.ap.tool_mgr.generate_tools_for_openai(use_funcs)
if tools:
args['tools'] = tools
# gitee 不支持多模态,把content都转换成纯文字
for m in req_messages:
if 'content' in m and isinstance(m['content'], list):
m['content'] = ' '.join([c['text'] for c in m['content']])
args['messages'] = req_messages
resp = await self._req(args, extra_body=extra_args)
message = await self._make_msg(resp)
return message