MerCry
/
ai-robot-core
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
ai-robot-core/ai-service
History
MerCry aa02ab79d2 feat(AC-AISVC-93): 完整流程测试12步执行时间线与步骤详情 
改进内容:
- 每个步骤添加详细的input_data和output_data
- InputScanner: 显示用户输入文本
- FlowEngine: 显示会话ID和流程名称
- IntentRouter: 显示查询和匹配结果
- QueryRewriter: 显示查询和重写状态
- MultiKBRetrieval: 显示查询、top_k、命中数、最高分、top_hits详情
- PromptBuilder: 显示模板ID、行为规则、prompt预览
- LLMGenerate: 显示模型名称(deepseek-chat)、回复长度、回复预览
- OutputFilter: 显示文本长度、是否过滤、触发词
- Confidence: 显示回复长度、命中数、置信度、是否转人工
- Memory: 显示会话ID、保存状态
- Response: 显示置信度、是否转人工、回复预览

修复问题:
- OrchestratorService没有返回execution_steps
- 前端字段名与后端不一致(camelCase vs snake_case)
- RetrievalResult.evidence -> RetrievalResult.hits
- LLM模型名称显示unknown -> 显示实际模型名称
 		2026-02-28 14:01:15 +08:00
..
app feat(AC-AISVC-93): 完整流程测试12步执行时间线与步骤详情 2026-02-28 14:01:15 +08:00
docs/progress feat(v0.7.0): 验收通过 - Dashboard统计增强、流程测试、对话追踪 2026-02-28 12:52:50 +08:00
exports feat(v0.7.0): 验收通过 - Dashboard统计增强、流程测试、对话追踪 2026-02-28 12:52:50 +08:00
scripts feat(v0.7.0): 验收通过 - Dashboard统计增强、流程测试、对话追踪 2026-02-28 12:52:50 +08:00
tests feat(ai-service): add Phase 5 integration and contract tests [AC-AISVC-10,11,17,18] 2026-02-24 13:53:55 +08:00
.dockerignore feat: 添加Docker容器部署配置 [AC-AISVC-01] 2026-02-26 01:22:30 +08:00
Dockerfile fix: Docker构建时复制README.md文件 [AC-AISVC-01] 2026-02-26 02:13:26 +08:00
README.md feat(AISVC-T7): 嵌入模型可插拔设计与文档解析支持 [AC-AISVC-29, AC-AISVC-30, AC-AISVC-31, AC-AISVC-32, AC-AISVC-33, AC-AISVC-34, AC-AISVC-35, AC-AISVC-36, AC-AISVC-37, AC-AISVC-38, AC-AISVC-39, AC-AISVC-40, AC-AISVC-41] 2026-02-24 23:08:08 +08:00
pyproject.toml feat(v0.7.0): 验收通过 - Dashboard统计增强、流程测试、对话追踪 2026-02-28 12:52:50 +08:00

README.md

AI Service

Python AI Service for intelligent chat with RAG support.

Features

  • Multi-tenant isolation via X-Tenant-Id header
  • SSE streaming support via Accept: text/event-stream
  • RAG-powered responses with confidence scoring

Prerequisites

  • PostgreSQL 12+
  • Qdrant vector database
  • Python 3.10+

Installation

pip install -e ".[dev]"

Database Initialization

Option 1: Using Python script (Recommended)

# Create database and tables
python scripts/init_db.py --create-db

# Or just create tables (database must exist)
python scripts/init_db.py

Option 2: Using SQL script

# Connect to PostgreSQL and run
psql -U postgres -f scripts/init_db.sql

Configuration

Create a .env file in the project root:

AI_SERVICE_DATABASE_URL=postgresql+asyncpg://postgres:password@localhost:5432/ai_service
AI_SERVICE_QDRANT_URL=http://localhost:6333
AI_SERVICE_LLM_API_KEY=your-api-key
AI_SERVICE_LLM_BASE_URL=https://api.openai.com/v1
AI_SERVICE_LLM_MODEL=gpt-4o-mini
AI_SERVICE_DEBUG=true

Running

uvicorn app.main:app --host 0.0.0.0 --port 8000

API Endpoints

Chat API

  • POST /ai/chat - Generate AI reply (supports SSE streaming)
  • GET /ai/health - Health check

Admin API

  • GET /admin/kb/documents - List documents
  • POST /admin/kb/documents - Upload document
  • GET /admin/kb/index/jobs/{jobId} - Get indexing job status
  • DELETE /admin/kb/documents/{docId} - Delete document
  • POST /admin/rag/experiments/run - Run RAG experiment
  • GET /admin/sessions - List chat sessions
  • GET /admin/sessions/{sessionId} - Get session details