8d5ccca604
feat(U1): G4 ContextCompressor 辅助 LLM 路由
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_summarize 优先尝试 auxiliary_model(成本优化的廉价模型,如 qwen-turbo),
失败或返回空内容(Finding 4 反模式)时回退到主模型,主模型失败仍走
_simple_summary 兜底。auxiliary_model=None 时保持既有单模型调用行为。
- ContextCompressor 新增 auxiliary_model 参数
- LLMConfig 新增 auxiliary_model 字段,ServerConfig._build_llm_config 透传
- agentkit.yaml 文档化 llm.auxiliary_model: fast(注释,保留默认行为)
- 测试: 9 场景覆盖成功/空内容/异常/双向失败/aux=main 跳过/审计字段/配置接线
2026-06-29 22:37:14 +08:00
122173ec2c
feat(core): add headroom-based compression trigger
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U3: ContextCompressor now accepts model_context_limit, headroom_threshold,
and min_tokens. should_compress() triggers when token ratio exceeds 0.8 of
model limit OR exceeds min_tokens (8000 fallback). ReActEngine._should_compress
delegates to compressor when available, checks is_available() first.
Tests: 6 scenarios (headroom trigger, min_tokens guard, small model,
unavailable compressor, delegation, fallback) — all pass.
2026-06-24 20:28:14 +08:00
5d3a5f2bf3
feat(compression): U1 CompressionStrategy Protocol and create_compressor factory
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Add runtime-checkable CompressionStrategy Protocol with compress(),
compress_tool_result(), and is_available() methods. Add compress_tool_result
and is_available to existing ContextCompressor. Add create_compressor()
factory function with headroom/summary provider routing and ImportError
fallback.
2026-06-07 18:19:27 +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
chiguyong