AskaEth/Cyrene_v2
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12 Commits
Author SHA1 Message Date
AskaEth 4ea68d17f3 refactor(gateway+model): 拆 gateway/server.go 719→204 + 重构 scanSSE/processFrom 到 ≤80行 
- server.go 204 + 新 routes.go(193,路由注册/Handler/withMiddleware)/deps.go(108)/contracts.go(231,17依赖接口)/broadcast.go(78,BroadcastPersisted/CapacityAwaken/Mood); 导出面不变; 74条路由pattern+RBAC门逐条比对一致
- model/openai_stream.go: scanSSE 138→25(parse/apply/finalize 对齐 anthropic_stream); openaiStreamState结构体
- channelbridge/inbound.go: processFrom 112→46(blacklistDrop/inboundTargetFor/runInboundTurn/deliverReply)
- 纯行为等价; build/vet/test绿(56包)+win/darwin交叉编译
 2026-09-30 11:58:49 +08:00
AskaEth 610b330025 refactor(model): 拆 openai.go 652→216行(纯搬移零逻辑改动) — encode/response/stream 三件套对齐 anthropic 布局
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- openai.go 216(适配器+Chat/ChatStream+共享助手); openai_encode.go 202(请求wire+build*); openai_response.go 79(响应wire+responseFromWire); openai_stream.go 174(scanSSE)
- 字节级比对 body identical; 导出API不变(go doc diff 空); gofmt 干净
- 纯净基线(HEAD+本改)全仓 go build/vet/test 绿 + win/darwin 交叉编译绿
- 遗留: scanSSE 138行(>80, 拆分前既有,零逻辑改动未动), 另开步骤重构
 2026-09-30 08:45:04 +08:00
AskaEth c7b2cd8ae0 fix(model): 解析 stop_reason + max_tokens 截断重试/非空兜底 — 不再静默空回复
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- model.go: Response.StopReason; anthropic wire加stop_reason; openai finish_reason映射(两协议统一,原值透传)
- truncation.go(新,159行): effectiveMaxTokens/retryMaxTokens(×2封顶32768)/isTruncatedEmpty(空正文+无tool_use+stop_reason∈{max_tokens,length})/withEmptyBodyHint/callWithTruncationRetry/callStreamWithTruncationRetry/dropThinking/emitTextSegment
- anthropic.go Chat/ChatStream 走重试+兜底; anthropic_encode.go(新)拆编码(anthropic.go 529→357合规); anthropic_stream message_delta落StopReason
- agent/loop: 把模型层StopReason带到llm.call span的model_stop_reason属性(修掉trace硬编码stop的误导); loop.Result.StopReason语义未动
- 触发仅当截断空正文; tool_use空正文永不触发(native_toolcall_test仍过); 至多1次重试; 兜底回'（思考过长，未能生成回复）'绝不用thinking
- 新增7测试(非流式/流式重试+兜底+tool_use不触发+封顶+openai映射), build/vet/test绿+3平台交叉编译
 2026-09-08 23:52:47 +08:00
AskaEth 53002f1e11 feat(model): LLM token 预算可配置化 — models.json每模型maxTokens + LLM_FALLBACK_MAX_TOKENS回退兜底
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- config.go: LLMConfig.FallbackMaxTokens(LLM_FALLBACK_MAX_TOKENS, 默认8192)
- runtimeconfig/models.go: Group.MaxTokens(models.json每模型独立预算, 负值拒绝)
- model/fallback.go: Chain.WithTokenBudget + applyBudget; runtime.go buildSnapshot接入(active.MaxTokens, env.FallbackMaxTokens)
- 优先级: 显式Request.MaxTokens > 组maxTokens > 仅多步链末端的LLM_FALLBACK_MAX_TOKENS > 适配器默认8192; 单步链不动env兜底(避免OpenAI主模型行为回归)
- gateway admin: AdminLlmProvider.MaxTokens 透传/回显/负值400
- .env.example + .env(LLM_FALLBACK_MAX_TOKENS=8192); Docs/api-client v0.27 + api-reference + design/04
- 新增测试(config/runtimeconfig/budget_test/admin_write), build/vet/test绿+3平台交叉编译
 2026-09-08 22:42:27 +08:00
AskaEth 57d5d22d87 fix(model): anthropic默认max_tokens 1024→8192 — thinking+text共享预算,长思考不再截断正文为空
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- 根因: deepseek-v4-flash-vision-exp 为 thinking 模型, content=[thinking,text] 共享 max_tokens,默认1024被长思考吃光→仅thinking块无text块, stop_reason=max_tokens → resp.Content="" → no reply produced
- 仅当 req.MaxTokens==0 套用默认(显式值不受影响); loop→agent→anthropic 传递链无截断
- 新增 anthropic_budget_test(默认发8192 + 长思考短text断言Content=text+thinking不泄漏)
- build/vet/test绿+交叉编译
 2026-09-08 22:09:29 +08:00
Aska 7e39153a69 feat: 修复审计落差 #1/#2/#3/#6 + 管理面板移动端适配
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#1 工具布尔标记生效(agent-106, 安全红线): loop toolSchemas/runToolCalls 加 allow-set 安全门 restrictSchemas/applyToolSecurityGate——群聊/陌生人只暴露允许工具(默认关), 被拒not_allowed软提示+AuditEvent, owner全工具不变; 身份靠 ActorEnv(非提示词)
#2 checkpoint 恢复(agent-109): run.go LoadLatest + resumableStopReason门控(只恢复in-flight工具循环,不出答案不续跑), 幂等不重放副作用, 新会话不误恢复; resume_test 4用例
#3 tool_result(agent-108, 协议层): Anthropic 原生tool_result块(tool_use_id/is_error)非user纯文本 + OpenAI tool消息补tool_call_id; Content加ToolCallID/IsError等; (loop接线层2处留待,见备注)
#6 capacity_awaken推送(agent-107): onCapacity从只Debug改推WS hub(BroadcastCapacityAwaken, sessionId定向+payload对齐前端AwakenPayload)
管理面板移动端(agent-110): AdminApp 汉堡菜单+抽屉侧栏+标题truncate防换行, RBAC守卫不受影响
全仓 build/vet/test绿 + 前端build绿; 前端无涉差异已对齐

备注: #3 loop接线层2处(assistant工具轮append历史 + Message.ToolCallID/IsError)留给后续; #4代审/#5子代理触发/#7拆文件后置(主人说后三不急)
 2026-09-07 13:43:18 +08:00
Aska 2d7151f979 feat(config): 运行时配置体系①——LLM 多厂商独立组落 models.json + 面板落盘 + 热更新
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- runtimeconfig/models.go: models.json 承载 [{id,provider,baseUrl,apiKey,model,fallback?,multimodal?}] 多厂商独立组(首项=生效)
- LoadModels 优先文件/回退env(GroupFromEnv), SaveModels(0600+tmp原子写), Activate/Upsert/MaskedKey脱敏
- 面板 POST /admin/llm 落盘 models.json(取代temporary内存) + GET 列组(脱敏)
- runtime/model/runtime.go: RuntimeLLM(adapter+router) atomic快照可热替换, Reload 重建不中断进行中请求; per-role路由用接口
- wire 用 NewRuntimeLLM(adapter+router), 保留 a.modelAdapter(=runtime stack, 审查模型随热更新)
- .env 退兜底(.env.example注明); apiKey不打印/Config()脱敏/热更新不中断
- 全仓 go build/vet/test 绿(54包)+交叉编译+前端build绿(79模块); api-client v0.15已同步
- 遗留: vision ModelInfo 仍读静态env(后续纳入); 保存组=生效组(第一版语义)
 2026-09-07 13:07:58 +08:00
Aska 9c2a37c4ac feat: 管理面板补齐(RAG导入/记忆添加/会话接history/诚实表述) + design/16 §4.6 IM多会话隔离+第三方身份+黑白名单
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agent-98 面板批次:
- 会话管理面板改接 history.ListSessions(主web+次级) + 新建次级会话按钮
- 记忆面板手动添加入口 POST /admin/memories(owner)
- 知识库真正实现 IndexDocument(分块+落projectindex) + POST /admin/rag 导入端点
- 三面板空态诚实表述(去除'后端M10+提供')
- RAG嵌入降级到keyword/line(无直属embedder,不伪造语义,符合红线)

agent-99 design/16 §4.6:
- model.Message.SenderName + 迁移0006 sender_name 列
- 第三方身份边界: session.ResolveActor判定(非LLM猜) + [第三方·昵称]前缀(不改源content)
- 群聊/陌生人落独立sess-xxx(persistIsolated),不写主会话,不广播
- 黑/白名单(allowGroups/denyGroups/allowUsers/denyUsers)最前拦截,不进LLM
- 多账号 CHANNELS_JSON 配置 + 每平台多实例
- 管理只读 GET /admin/channels/{platform}/messages(该平台非主人消息流)

实机验证(JWT): 会话管理返回主会话web / 记忆添加成功 / RAG导入documents非空+Cyrene命中; 后端build/vet/test全绿 + 前端build绿
 2026-09-07 05:13:36 +08:00
Aska 2248ddce15 feat(web): 用户侧体验补齐——思维链/工具卡数据源 + 图片附件 + 语音上行 + home/vision/voice 真表现
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- 打通 thinking/tool_call 运行时数据源：openai 发 thinking_*(reasoning_content)/tool_call_*
  (delta.tool_calls 累积重新组装 Args 非 JSON 串)；anthropic_stream 发 thinking_*(content_block
  thinking start/delta/stop)。ws_bridge 已映射 thinking.*/tool_call.*，前端渲染活。
- 前端消息模型 + 附件：ChatMessage 加 image?；ChatInput 加附件按钮(file→base64)、预览/移除、
  image-aware onSend(text,image)；VisionMessageBody 升级图像卡+识别 chip；VoiceMessageBody
  升级通话控制卡(live2D预留/波形/静音/挂断)；HomeMessageBody 读真实 deviceUpdates(去掉
  sampleDevices 猜)。
- 激活 voice_input：ChatShell onVoice 不再 no-op → sendUp voice_input + 切 voice mode。
- addTool 改按工具名 upsert(修复 tool_call.start/end 重复卡)；ws_mode_switch 应用 agent 驱动
  mode；addUserMessage/beginAssistant 带 image/mode；chatStream/useChat.send 带 image。
- 新增 image/phone 图标。

已知限制(标注)：图片仅前端收集(后端 chatRequest 无 image 字段未接真推理)；流式工具卡无真实
工具名(StreamEvent 只带 ID，回退 tool_<id前缀>)；mode 由 agent 驱动但后端未逐消息下发 mode
(mode_switch 回显+默认当前 mode 兜底)；voice 为 UI+voice_input 上行(真实通话后置)。
go build/vet/test + 前端 tsc 绿。
 2026-09-06 17:43:03 +08:00
Aska 24d5924cee feat(model): Top5#1 结构化流事件 + WS 事件体系（对齐 OpenClaw AssistantMessageEvent）
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- 新增 model/stream.go：StreamKind(text/thinking/tool_call 各 start/delta/end + tool_execution)
  + StreamEvent{Kind,Delta,Index,ID}。
- ChatStream 签名 onChunk func(delta string)→onEvent func(StreamEvent)；loop OnStream 同改；
  streamStep 转发结构化事件。
- openai：text_delta + text_start/text_end（正文三段式）；anthropic：文本块 text_*/tool_call_*
  按块 Index（content_block_stop 分支）真分段；fallback：有事件即交付。
- ws_hub：wsEvent 壳补 turnId/seq；新增 broadcastStream；streamChat 每帧打 turnId+seq；
  stream.go 把事件 publish 到 bus ws.stream。
- ws_bridge：streamEventData 映射 text_*→message.start/delta/end、thinking_*→thinking.*、
  tool_call_*→tool_call.*、tool_execution_update→tool_execution.update，未知回退 stream_chunk。
- 前端 ws.ts：解析 message.start/delta/end、thinking.start/delta/end(pendingThinking)、
  tool_call.start/end→addTool、tool_execution.update；保留旧 stream_chunk/thinking/tool_used 兼容；
  types.ts 补 turnId/seq。Docs/api-client.md 增 §3.1 v0.4。

已知限制（注释/文档标注）：turnId 在 OnStream→bus→relay 路径暂为空（StreamEvent 无 turnId 字段，
bus ws.stream 载荷不带 turn）；OpenAI adapter 未解析 tool_call 段；thinking 段两 adapter 暂不发；
tool_execution.update 是保留项（随工具循环钩子后置）。go build/vet/test + 前端 tsc 全绿。
 2026-09-06 16:31:28 +08:00
Aska 3632e04733 feat(model): 双协议 LLM Provider（AnthropicChNativeAdapter /v1/messages + tool_use.input→Args 直接映射 + 流式重组）+ Provider 感知工厂/路由 + LLM_PROVIDER/anthropic 配置（OpenAI 兼容保留）
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2026-09-06 09:41:06 +08:00
Aska d09ccc7570 feat(model): LLM 多供应商适配（Adapter/OpenAI 非流式+SSE 流式/per-role 路由/主备降级/多模态检测/调用记录） 2026-09-06 04:37:27 +08:00