Commit Graph

3 Commits

Author SHA1 Message Date
chiguyong cac9c73dd5 fix(routing): U1-U6 路由优化 + 修复方案 + 代码审查修复
实现 6 个修复单元(U1-U6)并应用 ce-code-review 发现的 5 项安全修复。

## U1: benchmark 超时阈值
- 按 difficulty 分级超时:easy=45s, medium=60s, hard=90s
- 替换原单一 60s 硬编码

## U2: OpenAICompatibleProvider httpx 超时
- 新增 timeout 参数(默认 120s),替换硬编码 60s
- ProviderConfig.timeout 透传到 Provider
- 新增 2 项单元测试

## U3: 激活 QualityGate skill_match 校验
- BaseAgent._build_skill_context() 构造 skill_context
- 在 base.py / tasks.py / runner.py 三处传入 QualityGate.validate()

## U4: 添加 disambiguation_keywords 字段
- IntentConfig 新增 disambiguation_keywords 字段
- 8 个 skill YAML 补充该字段

## U5: 优化 RequestPreprocessor 路由正则
- 拆分 _FACTUAL_RE 为 CN/EN 双正则(中文无空格)
- 新增 _MATH_RE / _TRANSLATION_RE 纯模式
- _TOOL_CONTEXT_RE 排除需要工具的实时查询
- 多行输入守卫 + 结尾标点支持
- 新增 21 项单元测试(共 40 项全通过)

## U6: 重新基准测试
- 真实 LLM benchmark:准确率 60% -> 93.3%
- 4/5 通过,p50=40.8s,一致性=100%
- 旧基线备份至 baseline_2026-06-17_old_arch.json

## ce-code-review 修复(5 项)
- 修复 \s 字符类匹配换行符的安全隐患
- 添加事实/数学正则的结尾标点支持
- 修复 geo_optimizer.yaml 关键词重复
- 修复 _login_with_retry 不可达 return
- 修复 real_llm_server fixture stderr_fh 资源泄漏

测试:tests/unit/chat/ 63 项全通过,ruff 检查通过。
2026-06-20 19:31:49 +08:00
chiguyong 11e2009cb8 feat(router): improve colloquial/mixed-lang routing, fix low-complexity IntentRouter bypass
Key improvements:
- Low-complexity queries (<0.3) now try IntentRouter keyword match
  before falling back to DIRECT_CHAT, fixing 0% F1 on keyword_match
- SemanticRouter similarity_low lowered from 0.6 to 0.4
- Short text (<20 chars) uses effective_low = max(0.25, low - 0.15)
- Short text with no semantic match forces LLM classify fallback
- Added colloquial keywords to 7 skill YAMLs
- Fixed code_reviewer.yaml output_schema placement
- Fixed SemanticRouter build in e2e tests
- Fixed base_url detection for bailian-coding API keys

Results: keyword_match F1 0->60.87%, colloquial F1 0->100%, mixed_lang F1 0->100%
2026-06-15 23:54:57 +08:00
chiguyong 6731d96c65 feat(configs): add code_reviewer skill and coding_harness pipeline
- code_reviewer.yaml: Verifier Agent skill config for adversarial review
  with structured output schema for ReviewFeedback format
- coding_harness.yaml: Example pipeline with adversarial loop
  develop → test → review (Worker↔Verifier) → archive
2026-06-12 09:38:37 +08:00