5b42487d8a
feat(core): add ReWOO, Plan-and-Execute, Reflexion execution engines
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Phase A of Multi-Agent Marketplace architecture:
- ReWOOEngine: plan-all-then-execute pattern for parallel data fetch
- PlanExecEngine: adapter wrapping GoalPlanner+PlanExecutor+PipelineReplanner
- ReflexionEngine: ReAct + Evaluate + Reflect + Retry for high-precision tasks
- SkillConfig: extend VALID_EXECUTION_MODES with rewoo/plan_exec/reflexion
- ConfigDrivenAgent: add _handle_rewoo/_handle_plan_exec/_handle_reflexion routes
- 5 professional agent YAML configs with layered model defaults
- 107 unit tests passing
2026-06-10 17:08:48 +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
b34f74f598
feat(phase6): implement end-to-end enterprise scenario validation (U15)
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- Add goal-driven agent skill config and pipeline config
- Add 9 E2E integration tests covering all 7 capabilities:
- SC1: Goal-driven SEO analysis (GoalPlanner→PlanExecutor→PlanChecker→ExperienceStore)
- SC2: Knowledge Q&A with system operation (MultiSourceRAG)
- SC3: Workflow with approval (WorkflowStore + approval node)
- SC4: Self-evolution experience accumulation (ExperienceStore→PitfallDetector→PathOptimizer)
- SC5: Parallel execution efficiency verification
- SC6: Skill registry integration (capabilities, versions, health)
- Cross-capability: Plan+Experience+Pitfall, Review+Experience, RAG+Workflow
- All 2472 tests passing (9 integration + 2463 unit)
2026-06-10 01:38:28 +08:00
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
bad66445ff
feat(compression): U6 GEO Pipeline compression integration tests and config
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Add GEO Pipeline end-to-end compression integration tests with
MockHeadroomCompressor. Add compression configuration section to
llm_config.yaml with headroom and summary mode examples.
2026-06-07 18:20:41 +08:00
2e547e345a
feat(geo): U4 GEO skill tool binding with BaiduSearch and E2E tests
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Add BaiduSearchTool (API mode + scraping fallback), bind tools to
GEO skill YAML configs (baidu_search, web_crawl, schema_extract,
schema_generate), extend geo_full_pipeline with generate_content
and deai steps, add 36 E2E integration tests.
2026-06-07 17:25:37 +08:00
1390bd8d6e
feat(skills): U5 GEO Pipeline orchestration with DAG execution
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- GEOPipeline: YAML-driven DAG pipeline with parallel/sequential execution
- PipelineStep with input_mapping ($.input.xxx, $.steps.name.output.xxx)
- Topological sort for execution groups, SharedWorkspace integration
- geo_full_pipeline.yaml: detect→analyze→optimize→track workflow
- 10 tests passing
2026-06-06 22:34:24 +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
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
669ca604e5
feat(configs): add GEO AgentKit Server configuration
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- llm_config.yaml: DeepSeek + OpenAI-compatible providers with env var substitution
- skills/ (8 YAML): citation_detector, content_generator, deai_agent, geo_optimizer,
monitor, schema_advisor, competitor_analyzer, trend_agent
- Added intent fields for content_generator, competitor_analyzer, trend_agent
- Added quality_gate fields for content_generator, deai_agent, geo_optimizer
- Updated custom_handler paths to configs.geo_handlers
- geo_tools.py: 14 FunctionTools calling GEO Backend via HTTP
- geo_handlers.py: 3 custom handlers (citation/monitor/schema) calling /internal/ API
- geo_server.py: FastAPI factory with LLM Gateway, Tool Registry, Skill Registry
2026-06-05 23:25:14 +08:00
chiguyong