ai-robot-core/ai-service
MerCry 3cf7d02daf feat(v0.7.0): implement intent rule testing and prompt template monitoring
Backend APIs:
- [AC-AISVC-96] POST /admin/intent-rules/{ruleId}/test - Intent rule testing with conflict detection
- [AC-AISVC-97] GET /admin/monitoring/intent-rules - Intent rule statistics
- [AC-AISVC-98] GET /admin/monitoring/intent-rules/{ruleId}/hits - Intent rule hit records
- [AC-AISVC-99] POST /admin/prompt-templates/{tplId}/preview - Prompt template preview with token count
- [AC-AISVC-100] GET /admin/monitoring/prompt-templates - Prompt template usage statistics

Frontend Components:
- [AC-ASA-53] IntentRuleTestDialog - Test dialog for intent rules
- [AC-ASA-54/55] IntentRules monitoring page with hit records drawer
- [AC-ASA-56/57] PromptTemplatePreviewDialog with variable editing
- [AC-ASA-58] PromptTemplates monitoring page with scene breakdown

New files:
- ai-service/app/services/intent/tester.py
- ai-service/app/services/monitoring/intent_monitor.py
- ai-service/app/services/monitoring/prompt_monitor.py
- ai-service/app/api/admin/monitoring.py
- ai-service-admin/src/views/admin/intent-rule/components/TestDialog.vue
- ai-service-admin/src/views/admin/monitoring/IntentRules.vue
- ai-service-admin/src/views/admin/monitoring/PromptTemplates.vue
- ai-service-admin/src/views/admin/prompt-template/components/PreviewDialog.vue
2026-02-27 23:15:46 +08:00
..
app feat(v0.7.0): implement intent rule testing and prompt template monitoring 2026-02-27 23:15:46 +08:00
scripts fix(AISVC): 修复 knowledge-bases 接口 500 错误 [AC-AISVC-60] 2026-02-27 21:37:48 +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 fix: 适配qdrant-client 1.17.0 API变更,search方法改为query_points [AC-AISVC-50] 2026-02-26 19:07:04 +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

# 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