mirror of
https://github.com/langbot-app/LangBot.git
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8dd16aac51
Restore individual provider requester implementations that were
removed in de61b5d3. These files coexist with the unified
litellmchat.py backend.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
68 lines
2.2 KiB
Python
68 lines
2.2 KiB
Python
from __future__ import annotations
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import typing
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from . import chatcmpl
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from .. import errors, requester
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import langbot_plugin.api.entities.builtin.resource.tool as resource_tool
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import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
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import langbot_plugin.api.entities.builtin.provider.message as provider_message
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class DeepseekChatCompletions(chatcmpl.OpenAIChatCompletions):
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"""Deepseek ChatCompletion API 请求器"""
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default_config: dict[str, typing.Any] = {
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'base_url': 'https://api.deepseek.com',
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'timeout': 120,
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}
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async def _closure(
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self,
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query: pipeline_query.Query,
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req_messages: list[dict],
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use_model: requester.RuntimeLLMModel,
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use_funcs: list[resource_tool.LLMTool] = None,
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extra_args: dict[str, typing.Any] = {},
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remove_think: bool = False,
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) -> tuple[provider_message.Message, dict]:
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self.client.api_key = use_model.provider.token_mgr.get_token()
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args = {}
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args['model'] = use_model.model_entity.name
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if use_funcs:
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tools = await self.ap.tool_mgr.generate_tools_for_openai(use_funcs)
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if tools:
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args['tools'] = tools
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# 设置此次请求中的messages
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messages = req_messages
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# deepseek 不支持多模态，把content都转换成纯文字
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for m in messages:
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if 'content' in m and isinstance(m['content'], list):
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m['content'] = ' '.join([c['text'] for c in m['content'] if 'text' in c])
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args['messages'] = messages
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# 发送请求
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resp = await self._req(args, extra_body=extra_args)
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# print(resp)
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if resp is None:
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raise errors.RequesterError('接口返回为空，请确定模型提供商服务是否正常')
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# 处理请求结果
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message = await self._make_msg(resp, remove_think)
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# Extract token usage from response
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usage_info = {}
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if hasattr(resp, 'usage') and resp.usage:
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usage_info['input_tokens'] = resp.usage.prompt_tokens or 0
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usage_info['output_tokens'] = resp.usage.completion_tokens or 0
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usage_info['total_tokens'] = resp.usage.total_tokens or 0
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return message, usage_info
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