Commit Graph

7 Commits

Author SHA1 Message Date
f11de37bf2 feat(scheduler): M7 可观测性 + 压力测试 + 端到端测试
设计依据 docs/zh/input-scheduler-design.md §11.5(O1/O2)、§11.6(E1/E2)。

- 可观测性:KernelStatus 新增 Scheduler 段(running/三集合深度/计数/
  深度上限),由 GetKernelStatus 从 DumpScheduler 原子快照填充;
  新增 events.EventScheduler,挂起/恢复各发一条(action/task/level)
- TaskKind.String() 便于日志与状态输出
- 新增 scheduler_e2e_test.go 3 项:
  · 压力:200 排队输入 + 50 中断全部经真实 loop 执行,结束时三集合排空、
    LLM 调用数精确等于输入数、无 Rejected
  · 可观测性:挂起/恢复事件齐备,状态快照计数一致
  · 端到端:完整启动 schedulerLoop+interceptLoop,经真实 channel 投递
    L1 任务与 L4 中断,验证「LLM 流式中断 → 挂起 → 中断先完成 → 原任务恢复」
    整条链路(LLM 调用数 = 丢弃1+中断1+恢复1+常规1)
- 验收:agent 全量 + -race;全仓 build/vet 通过
2026-09-13 00:45:28 +08:00
5f126d4d10 feat(skillmgr): 原生技能管理器插件 + OpenClaw 兼容层职责分离
新增 internal/plugins/skillmgr(native skill 全生命周期 owner):
- skill_list/info/load/unload/enable/disable/create/export/install
- skill_create 两步式:先生成骨架模板,LLM 补全后传 content 覆盖写入
  (plugin.ValidateSKILLContent 校验)并自动加载生效
- .skm 分发包(tar.gz):packSkill/unpackSkill 含 TarSlip 防护
  (拒绝绝对路径/../逃逸、强制单根目录、校验包内 SKILL.md)
- skills 目录扫描:纯 SKILL.md/skill.json 条目归本插件;
  sidecar(main.js/main.py)/OC plugin(openclaw.plugin.json) 留给兼容层

clawhubadapter 职责分离(OpenClaw 兼容层不再持有 native skill):
- 删除 p.skills 字段与 default 分支 LoadSKILL 逻辑
- 发现纯 SKILL 条目改为发布 events.EventSkillDetected 移交事件,
  由 skillmgr 订阅注册;启动时序 c<s 下全扫兜底,事件用于热新增
- claw_list/plugin_info 不再输出 SKILL 段,统一走 skill_list

方案B prompt 注入:
- agentCore 新增 SkillIndexProvider 接口 + SetSkillIndexProvider
- buildSystemPrompt 注入【可用技能】轻量索引(名称+版本+描述),
  LLM 匹配场景时主动 skill_info 拉全文按文档执行
- main.go 在插件加载后将 skillmgr 实例接线到 agent

内核小修:
- extractDescription 跳过 YAML frontmatter 块(此前所有带 frontmatter
  的 SKILL.md 描述都被误判为 '---')
- extractField 剥离 YAML 成对引号(version: "1.0" 不再带尾引号)
- plugin.ValidateSKILLContent 导出供生成侧校验
2026-08-25 20:25:57 +08:00
28a6d3f09c feat(agent): token-level streaming in core process loop
Replace the blocking Chat() call in process() with
chatStreamWithFallback: ChatStream first, accumulate chunks, fall back
to non-stream Chat on connect failure or empty-stream failure.

Why: the non-streaming path blocked for the ENTIRE LLM generation (up
to the 180s HTTP timeout). Reasoning models thinking 60-120s plus AUTO
chain failover regularly exceeded it -> context canceled -> full turn
wasted. With streaming the first chunk arrives in ~1-3s and any
flowing token keeps the connection alive; total generation time is no
longer bounded by an overall timeout.

Compatibility (external behavior unchanged):
  - process() signature/return values unchanged
  - Aggregated events (EventReasoning / EventAgentLLMChain) still fire
    once per turn with full text after stream completion - existing
    plugin subscribers see identical payloads as before
  - New incremental events EventReasoningDelta / EventContentDelta are
    additive; old subscribers ignore unknown event types
  - Tool execution loop, memory pipeline, stage pipeline untouched

Streaming details:
  - Tool call fragments accumulated per OpenAI streaming convention:
    id/name arrive on the first fragment, arguments as raw JSON string
    shards across fragments; merged and parsed once at stream end
  - normalizeStreamToolCalls keeps nameless argument shards (the
    non-stream normalizer drops them); ToolCall gains RawArguments to
    carry shard text
  - Interrupt mid-stream returns partial content instead of discarding
    the whole generation

Verified end-to-end against llmsproxy: plain chat streams correctly;
curl confirms tool-call shard wire format ({" + command" + :"date"}
-> {"command":"date"}); unit tests cover shard merging and
content/reasoning accumulation.
2026-08-25 09:30:49 +08:00
147d0baaf9 fix: LLM 工具循环 400、中断消息注入、ConPTY 终端支持
- agent: 工具轮请求尾部补 user 占位(zen 网关强制),tool 消息正确配对
- agent: 工具提醒/中断以 system 角色注入并带 [中断消息] 前缀,不进用户履历;系统提示词说明中断消息格式
- agentcli: 基于 ConPTY 的交互式终端(ptywin fork),terminal_create/read/write/resize/close/watch
- webui: server 输出通道适配器(保留 reasoning_content/disable_thinking)
- GUI: 沉浸式标题栏、icon 圆角重制、mascot 等打磨
2026-08-14 00:48:40 +08:00
7f28b997e6 feat: output channel redesign - per-channel output gates, LLM chain events, SDKConfig
- Output channels generate per-channel tools: output_send__{name} (type=output) + output_send__{name}_help
- content is JSON string transparently passed to plugin handler for routing
- EventAgentLLMChain: full LLM response forwarded after each turn for webui/logs
- sdk.New refactored to SDKConfig struct (no more 13 positional args)
- RegisterOutputChannel adds desc param for JSON format documentation
- channelDevice simplified (no Tools method), desc field added
- Child agent permission updated for output_send__ prefix
- System prompt: output gates, multi-call, long messages split
- WebUI: subscribes to EventAgentLLMChain in SSE, no output channel
- Tests updated for new naming convention
2026-07-16 12:11:16 +08:00
239a22899b fix: 模型思考模式配置 + Unicode 截断 + 审计修复 (13 files)
模型模式:
- 新增 LLMConfig/Source.ThinkingEnabled 配置,通过 ExtraBody
  控制 DeepSeek thinking mode,默认关闭
- SeedDefaults/ToConfig 读写 core.llm.thinking_enabled
- deepseek.lua 移除硬编码 temperature=0

Unicode 截断:
- truncateStr 改按 rune 计数,修复中文截断乱码

审计修复 (Critical):
- graph.go: defer rows.Close 在 for 循环 → 显式 Close (连接池泄漏)
- cli/openclaw/plugin.go: bare type assertion → comma-ok (panic)
- channel.go: payload["type"].(string) → comma-ok (panic)
- webui/handler.go: .(string) → fmt.Sprint (panic)
- agent.go: 添加 nil provider 错误返回

审计修复 (High):
- events/bus.go: copy handler slice under RLock (data race)
- webui/handler.go: SSE 通过 channel 串行化写入 (data race)
- timer/plugin.go: time.Sleep → select with stopCh (Stop 阻塞)
- provider.go: stream ch <- 添加 select ctx.Done (goroutine 泄漏)
- main.go: outputCh goroutine 添加 ctx.Done 退出路径
2026-07-03 20:46:04 +08:00
3e3c6a24d2 v4 architecture: pipeline stages, SDK, event bus, LLM-driven memory consolidation
- SDK PluginAPI (internal/plugin/sdk/): RegisterTool/RegisterStage/Subscribe/Publish
- EventBus (internal/events/): system-level pub/sub with wildcard support
- StageHost (internal/agent/core/stages.go): 7-stage message pipeline
- Agent core: on_input/pre_action/post_action/before_toolcall/after_toolcall/before_output/after_output
- Plugin Registry: SDK plugin registration and tool routing
- GraphDB.MergeEntities: entity consolidation with relation redirection
- memory_merge tool: allows LLM to merge similar entities
- Consolidation task: heartbeat detects conflicts, enqueues via IO for LLM decision
- _consolidation_ internal channel for system-level memory maintenance
- Comprehensive documentation: ARCHITECTURE.md, PLAN.md, DESIGN.md, README.md
- 54 tests across all packages, all passing
2026-07-03 08:04:39 +08:00