Files
course-agent-od/backend
pengxiao ecd5c7ff31 feat: add DeepSeek official API support and capture reasoning content
- Add DeepSeek provider routing: deepseek-chat/deepseek-reasoner use
  api.deepseek.com, other models use SiliconFlow
- Add stream_with_reasoning() using raw OpenAI SDK to capture
  reasoning_content (langchain_openai strips this field)
- RAG chain and conversation chain both use stream_with_reasoning
  for proper reasoning display in thinking models
- Frontend model selector: grouped by provider (DeepSeek official +
  SiliconFlow), default changed to deepseek-chat
- Regenerate message converted to streaming with reasoning capture
- Minor UI: globals.css additions, chat store refactoring

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-27 12:37:31 +08:00
..

国土空间规划课程智能体后端服务

基于FastAPI和LangGraph的智能问答系统后端服务。

技术栈

  • 框架: FastAPI + Uvicorn
  • AI框架: LangChain + LangGraph
  • 大模型: 硅基流动API (Qwen3-30B)
  • 向量数据库: Chroma
  • 数据库: PostgreSQL

快速开始

使用Docker(推荐)

docker-compose up -d

本地开发

uv sync
uv run main.py

API文档

启动服务后访问:http://localhost:8000/docs