6b21ba8351
feat(v0.7.0): 验收通过 - Dashboard统计增强、流程测试、对话追踪
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验收通过的标准:
- AC-ASA-59~64: 前端话术流程和护栏监控功能验收
- AC-AISVC-91~95: Dashboard统计增强和完整流程测试验收
- AC-AISVC-108~110: 对话追踪和导出功能验收
修复问题:
- flow_test.py: 修复OrchestratorService导入和调用
- 前后端字段不一致: orderstep_no, wait_for_inputwait_input
- 数据库迁移: 添加chat_messages缺失的监控字段
新增文件:
- ai-service/app/api/admin/flow_test.py
- ai-service/scripts/migrations/add_chat_message_fields.py
- ai-service-admin/src/views/admin/prompt-template/components/VariableManager.vue
2026-02-28 12:52:50 +08:00
02f03a3a12
feat: RAG 配置优化与检索日志增强 [AC-AISVC-16, AC-AISVC-17]
2026-02-25 23:42:31 +08:00
4b64a4dbf4
feat(AISVC-T6.9): 集成Ollama嵌入模型修复RAG检索问题
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## 问题修复
- 替换假嵌入(SHA256 hash)为真实Ollama nomic-embed-text嵌入
- 修复Qdrant客户端版本不兼容导致score_threshold参数失效
- 降低默认分数阈值从0.7到0.3
## 新增文件
- ai-service/app/services/embedding/ollama_embedding.py
## 修改文件
- ai-service/app/api/admin/kb.py: 索引任务使用真实嵌入
- ai-service/app/core/config.py: 新增Ollama配置,向量维度改为768
- ai-service/app/core/qdrant_client.py: 移除score_threshold参数
- ai-service/app/services/retrieval/vector_retriever.py: 使用Ollama嵌入
2026-02-24 22:15:53 +08:00
66fa2d2677
feat(ai-service): implement confidence calculation for T3.3 [AC-AISVC-17, AC-AISVC-18, AC-AISVC-19]
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- Add ConfidenceCalculator class for confidence scoring
- Implement retrieval insufficiency detection (hit count, score threshold, evidence tokens)
- Implement confidence calculation based on retrieval scores
- Implement shouldTransfer logic with configurable threshold
- Add transferReason for low confidence scenarios
- Add comprehensive unit tests (19 test cases)
- Update config with confidence-related settings
2026-02-24 13:31:42 +08:00
0a167d69f0
feat(ai-service): implement LLM Adapter for T3.1 [AC-AISVC-02, AC-AISVC-06]
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- Add LLMClient abstract base class with generate/stream_generate interfaces
- Implement OpenAIClient with httpx for OpenAI-compatible API calls
- Add retry logic with tenacity for timeout handling
- Support both non-streaming and streaming generation
- Add comprehensive unit tests for LLM Adapter
- Fix entities.py JSON column type for SQLModel compatibility
2026-02-24 13:19:38 +08:00
MerCry