Commit Graph

5 Commits

Author SHA1 Message Date
ddef1956b5 fix(agent): 流式并行 tool_call 按 JSON index 分桶,修复空参数调用
【根因】内核流式解析层丢弃了上游 SSE 分片的 OpenAI index 字段:
- openAIToolCall 结构体无 index 字段,JSON 解析即丢
- homed 的 openai.lua 转换为扁平结构时同样未透传 index
- accumulateStream 退而用 Go range slice 序号做累积桶 key,
  但每个 SSE chunk 只含一个 tool_call 元素,序号恒为 0

于是并行多工具调用(index=0,1,2,3)的所有分片全部写入同一个桶:
name 相互覆盖、args 碎片混拼成非法 JSON → parseToolArgsJSON
失败返回空 map → 工具以空参数被调用(spawn_child 报'请提供 task'、
cmd_run 报'command is required'等),agent 只能串行重试自愈。

单工具场景只有一个 index 无污染,故简单请求一直正常;
pi 直连同一 llmsproxy 正常(其实现标准按 index 累积)。

【修复】
- ToolCall 增加 StreamIndex(json:stream_index),openAIToolCall
  解析上游 index 并透传;openai.lua 输出 stream_index 字段
- accumulateStream 以 tc.StreamIndex 为累积 key
- flushToolCall 区分三种空参:未收到分片/碎片非合法 JSON/合法空
  对象({}),分别打诊断日志,避免误报
- 回归测试 TestAccumulateStreamParallelToolCallsByIndex 模拟
  4 路并行分片流验证按 index 正确分组与参数完整性

另含 spawn_child max_turns 参数、child_result 运行中状态区分、
provider 层非流式空参诊断日志。
2026-08-26 16:10:02 +08:00
6009ce801f feat(agent): spawn_child 支持 max_turns + 并行策略引导
1. spawn_child 新增 max_turns 参数(1-30,默认 5)
   子 Agent 工具轮数此前硬编码 5,复杂任务跑不完即截断。现可按任务
   复杂度调整;返回消息带轮数上限提示。

2. 工具描述与 system prompt 增加并行策略引导
   明确'多个互不依赖的子任务应并行 spawn 多个子 Agent,不要串行
   逐个执行;长耗时任务交给子 Agent 避免阻塞对话'——针对生产实例
   观察到的 agent 倾向自己串行处理所有子任务的问题。

小宅自定义 prompt 同步补充并行策略段。
2026-08-26 13:38:27 +08:00
d1e502d367 fix(agent): self-input channel carries target output channel flag
The selfInputCh previously treated ALL internal messages as memory
consolidation tasks (hardcoded _consolidation_ output channel), which
silently discarded child-agent completion notifications:

  - processConsolidation never appends to conversation context, so the
    parent agent could not see that its child had finished
  - it also discards the LLM response without emitting to any output
    channel, so nothing reached the user
  - net effect: notifications vanished; parent never called child_result

Restore the intended design: each self-input message now carries a
target output channel. Only consolidation tasks (_consolidation_) go
through the no-memory path (no context write, no emit). Child
notifications carry the parent's original output channel and are
processed as normal input: appended to context, LLM sees them and can
call child_result, and the response is emitted back to the user.

Changes:
  - new selfInputMsg{text, channel} type + channelConsolidation const
  - selfInputCh: chan string -> chan selfInputMsg
  - injectSelf (consolidation) keeps _consolidation_; new
    injectSelfChannel for flagged messages
  - handleSelfInput routes on msg.channel instead of hardcoding
  - executeSpawnChild captures a.currentOutputChannel and passes it to
    runChildTask so the notification returns to the originating channel
    (falls back to "cli" when unset or consolidation)
  - executeChildResultTool: remove dead double-lock/re-check block

Verified end-to-end with tmux PTY against llmsproxy:
spawn_child -> child done -> notification processed via normal path
(log shows 'input from system -> response, tools=[child_result]'),
parent agent retrieved the child result successfully.
2026-08-25 07:52:51 +08:00
f91b20ee16 v0.7.3: 重构 Provider 层 + 计算层隔离 + Cleaner/NoMemory 架构
- 删除 OpenAIProvider/OllamaProvider 死代码,LuaAdaptedProvider 独存
- DisableThinking 从 ExtraBody 移到 CompletionRequest 顶层字段
- ContextWindow 从 Provider 签名移到 BaseConfig/ModelContextWindow() 统管
- 确认 CleanText 仅做基本空白 trim,QQ 模板剥离归插件 Cleaner
- Cleaner/NoMemory 仅作用于向量计算和 jieba 分词层,原文不变
- context.ContextEvent/Doc.Content 始终保存原文
- 删除 nlp/download.go 死代码
- media.go: context.Background() -> a.ctx 级联
- clawhubadapter: HTTP 超时
- cut.go: 跨平台 mod cache 路径 (GOMODCACHE->GOPATH->HomeDir)
- bridge_e2e_test: 移除未用 runtime import
- lua 适配器: disable_thinking 传参
2026-07-28 11:42:29 +08:00
85992902d9 refactor: split agent.go into 12 files + add mcp_restart_server tool 2026-07-22 15:40:27 +08:00