chiguyong
34a89c4873
refactor(llm+memory+client): remove Any from type signatures
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Eliminate 172 Any usages across llm/, memory/, client/ via:
- TypeAlias (MetadataValue, MetadataDict, RAGSearchResult, etc.)
- object for arbitrary dict/value types
- TYPE_CHECKING Protocol for Redis/Quota/RAG/Graph services
- TYPE_CHECKING import + string annotations for forward refs
- Remove unused Any imports (18 F401 fixed)
Tests: 253 passed (llm 21 failures are pre-existing litellm env issue)
ruff: All checks passed
2026-07-01 02:03:51 +08:00
chiguyong
c4aaef05aa
feat(U2): G2 prompt cache 双块结构
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- ReActEngine 新增 _build_system_message(stable+volatile) 双块构造
- Anthropic provider 返回 content blocks,stable 块带 cache_control
- 非 Anthropic provider 返回字符串拼接,依赖 stable 前缀命中自动前缀缓存
- execute_stream/execute 记忆注入从 system_prompt 末尾移到 volatile 层
- LLMGateway.get_provider_name_for_model 暴露 provider 检测能力
- anthropic.py _convert_messages 支持 list-type system content 透传
- ServerConfig.prompt_cache 配置项(默认 enable=True)
- ReActEngine.prompt_cache_enable 构造参数(默认 True 保当前行为)
- test_prompt_cache_layers.py 覆盖 R4-R7/R13
2026-06-29 20:47:23 +08:00
chiguyong
1ccaf56b9a
refactor: ce-simplify-code 审查修复 — 去重 + 效率 + 死代码清理
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3 个审查代理(复用/质量/效率)发现 15 个问题,全部修复:
效率与安全(6 项):
- MCPClient 缓存 MultiServerMCPClient 单例 + aclose(),修复连接/子进程泄漏
- _rate_limits 清理空 IP 条目,修复 X-Forwarded-For 欺骗下内存泄漏
- _seen_nonces 改用 OrderedDict,O(1) 摊销过期清理
- webhook 后台任务加 Semaphore(20) + 任务引用追踪,限制无界并发
- _build_adapter 用 asyncio.gather 并行解密 secrets
- 适配器实例缓存(_adapter_cache),token TTL 缓存跨请求命中
去重(4 项):
- header_get 提取到 channels/base.py,4 个适配器统一 import
- _get_client/close() 移入 MessageAdapter 基类,子类继承
- URLVerificationChallenge 统一到 base.py,feishu/slack/wecom 共用
- Transport ABC 添加 endpoint_url 属性,from_transport 不再访问私有字段
死代码与类型安全(5 项):
- detect_cache_hit 死方法替换为 record_cache_result 公开 API
- execution_mode.value == "direct_chat" 改用枚举比较
- 删除 yielded_any 死变量、重复 from fastapi import Request、
多余 getattr 防御
453 tests passed, ruff clean(预存 F841 非本次引入)
2026-06-25 23:54:14 +08:00
chiguyong
793476cafa
feat(llm): U17 — LiteLLM 语义缓存替换 + per-user/ACL scope 安全隔离
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- 新增 LitellmCacheManager:配置 litellm.cache 全局,三级后端 fallback
(RedisSemanticCache -> RedisCache -> InMemoryCache),redisvl lazy import
- cache_key 扩展 user_id + kb_acl_hash 参数(安全要求 a/b/e)
- gateway 集成:读取 KB caching_disabled flag(安全要求 c),构建带 scope
的 cache_key,命中时 cost=0
- LLMResponse 新增 cache_hit 字段;LLMRequest 新增 cache 参数
- litellm_provider 透传 cache 参数 + 检测 _hidden_params 缓存命中
- 33 个新测试覆盖 13 场景(含 User A != User B 缓存隔离)
- 旧 InMemoryLLMCache/RedisLLMCache 保留向后兼容
2026-06-25 22:49:59 +08:00
chiguyong
069dbc22b1
feat(llm): U15 — LiteLLM unified provider + api_key encrypted secrets migration
2026-06-25 21:41:15 +08:00
chiguyong
00c8386939
fix(review): U1 Redis quota enforcement — key construction + fail-closed + degradation recovery + async
2026-06-22 16:22:33 +08:00
chiguyong
09feca3307
feat(admin): U7 — usage dashboard + quota enforcement
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UsageRecord extended with user_id + department_id (backward compatible).
UsageStore Protocol extended: record() accepts user_id/department_id,
get_usage() accepts filters, new get_usage_by_user/department methods.
RedisUsageStore uses versioned keys (v2) for new records.
LLMGateway.chat()/chat_stream() accept user_id, department_ids, db_path.
Quota check before provider call: model whitelist + token limit + cost
limit (daily). Multi-department uses strictest-wins (any exceed → reject).
QuotaExceededError → 429 at route layer.
UsageService: summary, timeseries, by-model, top-users, export (CSV/JSON).
5 new admin endpoints under /admin/usage/*.
llm_gateway.py routes pass DepartmentContext + db_path to gateway,
catch QuotaExceededError → 429 (JSON for /chat, SSE error for /stream).
84 new tests. 441 admin+usage tests pass, no regressions.
2026-06-21 17:23:20 +08:00
chiguyong
cac9c73dd5
fix(routing): U1-U6 路由优化 + 修复方案 + 代码审查修复
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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
99fe4c99f7
fix: comprehensive code review fixes + WS test stability
2026-06-15 08:17:34 +08:00
chiguyong
94c4c8b887
feat: accumulated frontend enhancements, docs, and static assets
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- Frontend view updates (ChatView, EvolutionView, SkillsView, etc.)
- Updated portal routes and chat store
- New frontend components (FilePreview, ToolCallCard, IconNav)
- Updated static build assets
- New test files (merged router, parallel tools, ReWOO fallback)
- Documentation and brainstorm files
- Codegraph and understand-anything artifacts
2026-06-14 16:35:01 +08:00
chiguyong
0ccef7be5c
feat: P0 production hardening — LLM cache, semantic routing, state persistence
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U1: LLM Cache Core (exact + semantic match, InMemory + Redis backends)
U2: Cache integration into LLMGateway with CacheConfig
U3: Semantic Router as Layer 1.5 in CostAwareRouter
U4: UsageStore persistence (Redis Hash + InMemory fallback)
U5: CascadeStateStore persistence (Redis INCR + InMemory TTL)
U6: EvolutionStore interface unification (Protocol + PostgreSQL backend)
U7: Configuration integration + E2E tests
Code review fixes:
- P0: date iteration bug (day>=28), semantic router index never built,
Redis connection leak (per-call → persistent pool)
- P1: cache degradation recovery, semantic_search degradation,
double miss counting, asyncio.Lock for PG init, LIMIT on queries,
__import__ anti-pattern → _utcnow()
- P2: InMemory TTL cleanup, embedding preservation on put(),
data TTL = max(exact_ttl, semantic_ttl)
2026-06-14 15:16:00 +08:00
chiguyong
a36bc3d1c1
feat: optimize chat response speed for sub-1s first token latency
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- Add HeuristicClassifier to replace LLM quick_classify with zero-cost
local heuristic (keyword/length/code-pattern scoring), gated by
router.classifier config (default: heuristic)
- Add parallel tool execution in ReActEngine via asyncio.gather for
multiple independent tool_calls, gated by parallel_tools param
- Add AsyncWriteQueue for non-blocking session persistence with WAL
buffer, gated by async_writes param on SessionManager
- Add httpx.Limits connection pool config to all LLM providers
- Add router config section to ServerConfig and agentkit.yaml
- All optimizations have config switches for safe rollback
2026-06-12 13:15:06 +08:00
chiguyong
2110c84fb6
fix: switch default model to qwen3-coder-plus for better function calling
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DeepSeek-chat has limited/partial function calling support. Qwen3-coder-plus
(DashScope) has robust OpenAI-compatible function calling.
Also added tool usage instructions to system prompt and enhanced logging
to trace tool propagation through the pipeline.
2026-06-12 09:27:52 +08:00
chiguyong
31bd3b126c
feat(phase8): chat adaptive enhancements, pipeline reflection, search tools upgrade
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- Enhanced chat CLI with adaptive mode and session management
- Added pipeline reflection and schema extensions
- Upgraded BaiduSearch and WebSearch tools with advanced capabilities
- Expanded server routes for skills and chat
- Added session store enhancements
- New chat module and pipeline reflection support
2026-06-09 23:18:06 +08:00
chiguyong
9753a08ac8
feat(llm): U8 Chinese LLM providers - Wenxin, Doubao, Yuanbao
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- WenxinProvider: Baidu ERNIE via Qianfan v2 OpenAI-compatible API, AK/SK token auth
- DoubaoProvider: ByteDance Doubao via Volcengine Ark API
- YuanbaoProvider: Tencent Hunyuan via OpenAI-compatible API with enhancement mode
- All inherit from OpenAICompatibleProvider for retry/circuit breaker support
- 16 tests passing
2026-06-06 22:46:53 +08:00
chiguyong
6e362a8ae7
feat(agentkit): Phase 4 enterprise production upgrade — 12 Implementation Units
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Phase A (P0): EpisodicMemory pgvector search+EmbeddingCache, ReAct timeout+CancellationToken, evolution system fix (A/B test+LLMPromptOptimizer+StrategyTuner), AnthropicProvider native Messages API
Phase B (P1): RetryPolicy+CircuitBreaker, chat_stream fallback chain, WebSocket endpoint, SSE stream fix, Evolution+Memory API routes (7 endpoints), embedding cache+Enhanced Search per-KB degradation fix
Phase C (P2): GeminiProvider native generateContent API, Agent state lock+config hot-reload
Tests: 1301 passed, 18 skipped, 0 failed
2026-06-06 21:51:04 +08:00
chiguyong
2844eeb548
feat(streaming): Phase C - LLM streaming + ReAct events + SSE endpoint
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U8: StreamChunk protocol + OpenAI chat_stream + Gateway streaming with usage tracking
U9: ReActEvent dataclass + execute_stream() yielding thinking/tool_call/tool_result/final_answer
U10: POST /tasks/stream SSE endpoint + Client SDK stream_task()
15 new tests passing, no regression.
2026-06-06 11:54:17 +08:00
chiguyong
f87b790c0f
feat(agentkit): v2 Phase 1 - ReAct/LLM Gateway/Skill/Server + review fixes
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535 unit + 52 integration tests passing. README added.
2026-06-05 23:32:16 +08:00