20a4c55d5b
feat(skills): SkillHarness 前置条件 + 风险守卫学习增强
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- cli/skill.py: skill learn 子命令增强
- evolution/risk_guard_learner.py: 风险守卫学习改进
- memory/models.py: 记忆模型扩展
- skills/base.py + loader.py: SkillHarness 前置条件支持
- 对应测试更新
2026-06-24 18:56:51 +08:00
47f3bfecfc
feat(documents): add document processing capability (U1-U9)
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Implements end-to-end document generation, template filling, and reading:
- DocumentService: unified business layer for create/query/download
- Renderers: Word (Markdown->docx), Excel (Markdown/JSON->xlsx),
PDF (Markdown->pdf with CJK font), Template (Jinja2 sandbox .docx fill)
- DocumentLoader: read PDF/Word/Excel/Markdown/HTML/text -> Document
- DocumentTool: Agent tool with action=create|read
- REST API: /api/v1/documents (create, upload-template, list, download)
- Frontend: DocumentPanel, DocumentCard, documents Pinia store,
chat store tool_result detection
- Security: path traversal guard (Path.resolve + relative_to),
SSTI guard (SandboxedEnvironment), API key auth, 50MB upload limit
- Bug fixes: template path traversal (400 not 500), TemplateRenderer
lazy-load (no external registration dependency)
- Tests: 168 tests (unit + security + E2E F1/F2/F3 + bug hunt)
- Docs: README section 17, requirements + plan + test-plan docs
Requirements R1-R28 verified, F1-F3 user flows pass.
2026-06-23 15:05:01 +08:00
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
1d1805753c
fix: resolve key P2 findings from code review
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- Shell whitelist: use exact binary match instead of startswith
- Shell audit log: use deque(maxlen=10000) to cap memory
- Terminal history: use deque(maxlen) for O(1) eviction
- Path optimizer: cap _pending_paths at 50 entries per task_type
- Pitfall detector: only add tips to matching steps, not all
- Experience store: handle non-numeric _parse_time_window input
- Extract shared is_safe_url() to utils/security.py (DRY)
- Workflow condition evaluator: handle float() ValueError
2026-06-10 09:01:23 +08:00
7874e875af
merge: integrate feat/agentkit-phase8-chat-adaptive (chat/gui commands + GUI mode)
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Restores agentkit chat, agentkit gui CLI commands, onboarding wizard,
and GUI mode (AGENTKIT_GUI_MODE) with static file serving.
Resolves merge conflicts in orchestrator.py, app.py, tools/__init__.py, shell.py.
2026-06-10 07:44:06 +08:00
9e9f1314f6
fix(security): resolve all P0/P1 findings from code review
2026-06-10 07:12:41 +08:00
c99aee1423
feat(phase3): implement knowledge base and RAG enhancement (U9-U11)
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- U9: LocalDocumentIngestion - multi-format doc parsing and chunking
- U10: ExternalKBAdapters - Feishu/Confluence/GenericHTTP adapters
- U11: MultiSourceRAG - multi-source retrieval with source tracing
KnowledgeBase protocol defined (KTD-7). 145 new tests passing.
2026-06-10 00:45:17 +08:00
045fecd4ce
feat(tools): add ShellTool + WebSearchTool, memory system, onboarding wizard, chat mode
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- ShellTool: safe command execution with allowlist, blocked patterns (regex), timeout, output truncation
- WebSearchTool: multi-backend search with Tavily → Serper → DuckDuckGo Lite fallback
- MemoryTool: agent-callable tool with add/replace/remove/read actions
- MemoryStore/MemoryFile: file-based memory (SOUL.md, USER.md, MEMORY.md, DAILY.md)
- Onboarding wizard: provider selection, API key, model selection, agent personality
- Chat mode: interactive CLI with streaming, memory injection, tool integration
- Add 百炼 Coding Plan provider with 10 models
- 102 unit tests (34 new for ShellTool + WebSearchTool)
2026-06-09 01:06:45 +08:00
364fe6bd6d
feat(memory): U3 EpisodicMemory ORM integration - EpisodeModel and session factory
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- EpisodeModel ORM model with pgvector embedding support
- create_episodic_session_factory for async PostgreSQL sessions
- Server app.py now resolves session_factory from database_url config
- Graceful fallback when database_url not configured
2026-06-06 22:21:00 +08:00
f16dcb5ebe
feat(memory): U2 Contextual Retrieval - LLM-generated context prefixes for chunks
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- ContextualChunker: generates context prefixes per chunk via LLM
- Integrated into HttpRAGService ingest with contextual_chunking option
- Caching, batch processing, graceful LLM failure handling
- 12 tests passing
2026-06-06 22:19:02 +08:00
a6c9babfdc
feat(memory): U1 RAG self-correction loop (CRAG)
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- RelevanceScorer: keyword overlap + query coverage + retrieval score + length penalty
- RAGSelfCorrectionLoop: state machine driven retrieve-evaluate-correct-degrade cycle
- Integrated into MemoryRetriever with enable_self_correction option
- 21 tests passing
2026-06-06 22:16:23 +08:00
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
e33dc25ad3
feat(memory): RAG pipeline optimization — 5 Implementation Units
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U1: QueryTransformer — LLM/rule-based query rewriting + sub-query decomposition
U2: HttpRAGService enhanced_search() — rerank + compression via /bases/{kb_id}/retrieve
U3: Structured context injection — source attribution headers in RAG results
U4: RetrieveKnowledgeTool — built-in tool for mid-reasoning knowledge retrieval
U5: Configurable retrieval params + per-KB weights + CJK token estimation
Config example:
memory:
retrieval:
top_k: 5
token_budget: 2000
context_template: structured
query_transform:
enabled: true
strategy: llm
semantic:
search_mode: enhanced
use_rerank: true
kb_weights:
industry-kb-id: 1.2
enterprise-kb-id: 0.8
Tests: 1037 passed, 18 skipped, 0 failed
2026-06-06 19:27:09 +08:00
cd5b39087e
feat(memory): add HttpRAGService for config-driven knowledge base integration
2026-06-06 18:36:05 +08:00
0456429beb
fix(review): address all 14 P2 advisory findings
2026-06-06 18:20:46 +08:00
8620751864
fix(review): address P0+P1 findings from Tier 2 code review
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P0: MemoryRetriever.retrieve score mutation fix
P1: Redis atomic Lua script, deprecated API fix, SQLite WAL mode,
Redis URL masking, UniqueConstraint, TraceRecorder completed flag,
EpisodicMemory recall improvement, LLMReflector sanitization,
A/B test safety, generator cleanup, ContextCompressor guards,
OpenAIEmbedder reuse, Pipeline failure handling, Metrics O(1),
Health check Redis PING, CLI skill loading, CORS config,
API key direct pass-through
Tests: 924 passed, 18 skipped, 0 failed
2026-06-06 17:57:47 +08:00
f858d279f3
feat(agentkit): Phase 3 upgrade - persistence, memory, evolution, observability
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10 Implementation Units across 3 phases:
Phase A - Infrastructure:
- U1: RedisTaskStore with Redis/memory backend + factory function
- U2: TraceRecorder for execution trace recording
- U3: PersistentEvolutionStore with SQLite backend
Phase B - Core Capabilities:
- U4: MemoryRetriever integration into ReAct engine
- U5: Embedder abstraction + EpisodicMemory vector search
- U6: LLMReflector for LLM-in-the-loop reflection
- U7: SkillPipeline for multi-skill orchestration
Phase C - Enhancement:
- U8: SKILL.md format + progressive disclosure levels
- U9: ContextCompressor + prompt cache rendering
- U10: Structured logging + metrics endpoint + enhanced health check
Tests: 924 passed, 18 skipped, 0 failed
2026-06-06 17:17:45 +08:00
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
9a6d6fee4e
feat: initial fischer-agentkit package with unified agent architecture
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- BaseAgent with handle_task() pattern (execute template moved up)
- Protocol: TaskMessage, TaskResult, HandoffMessage, EvolutionEvent
- Tool system: FunctionTool, AgentTool, ToolRegistry with versioning
- Memory system: WorkingMemory (Redis), EpisodicMemory (pgvector), SemanticMemory (RAG adapter), MemoryRetriever (hybrid)
- Evolution engine: Reflector, PromptOptimizer (DSPy-style), StrategyTuner, ABTester, EvolutionStore
- Orchestrator: PipelineEngine (parallel DAG), PipelineLoader (YAML), HandoffManager, DynamicPipeline
- MCP: Server (FastAPI), Client (httpx), MCPTool
- Prompts: PromptTemplate, PromptSection
- Exceptions: full hierarchy including Tool, Schema, Handoff, Evolution errors
- Tests: unit tests for core, tools, protocol, evolution, pipeline
2026-06-04 22:24:06 +08:00
chiguyong