重构主控编排与运行时预热链路,统一工作区提示词/专家调度协议并补齐 wiki 记忆注入与写回闭环。

同时收敛启动与运维脚本默认行为(含 wiki worker)、更新 Admin 可观测性与相关测试,降低首轮时延并提高运行稳定性。

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# Channel baseline conversation
```yaml qa-scenario
id: channel-chat-baseline
title: Channel baseline conversation
surface: channel
coverage:
primary:
- channels.group-messages
secondary:
- channels.qa-channel
objective: Verify the QA agent can respond correctly in a shared channel and respect mention-driven group semantics.
successCriteria:
- Agent replies in the shared channel transcript.
- Agent keeps the conversation scoped to the channel.
- Agent respects mention-driven group routing semantics.
docsRefs:
- docs/channels/group-messages.md
- docs/channels/qa-channel.md
codeRefs:
- extensions/qa-channel/src/inbound.ts
- extensions/qa-lab/src/bus-state.ts
execution:
kind: flow
summary: Verify the QA agent can respond correctly in a shared channel and respect mention-driven group semantics.
config:
mentionPrompt: "@openclaw explain the QA lab"
```
```yaml qa-flow
steps:
- name: ignores unmentioned channel chatter
actions:
- call: waitForGatewayHealthy
args:
- ref: env
- 60000
- call: waitForQaChannelReady
args:
- ref: env
- 60000
- call: reset
- call: state.addInboundMessage
args:
- conversation:
id: qa-room
kind: channel
title: QA Room
senderId: alice
senderName: Alice
text: hello team, no bot ping here
- call: waitForNoOutbound
args:
- ref: state
- name: replies when mentioned in channel
actions:
- call: waitForGatewayHealthy
args:
- ref: env
- 60000
- call: waitForQaChannelReady
args:
- ref: env
- 60000
- call: state.addInboundMessage
args:
- conversation:
id: qa-room
kind: channel
title: QA Room
senderId: alice
senderName: Alice
text:
expr: config.mentionPrompt
- call: waitForOutboundMessage
saveAs: message
args:
- ref: state
- lambda:
params: [candidate]
expr: "candidate.conversation.id === 'qa-room' && !candidate.threadId"
- expr: liveTurnTimeoutMs(env, 60000)
detailsExpr: message.text
```

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# DM baseline conversation
```yaml qa-scenario
id: dm-chat-baseline
title: DM baseline conversation
surface: dm
coverage:
primary:
- channels.dm
secondary:
- channels.qa-channel
objective: Verify the QA agent can chat coherently in a DM, explain the QA setup, and stay in character.
successCriteria:
- Agent replies in DM without channel routing mistakes.
- Agent explains the QA lab and message bus correctly.
- Agent keeps the dev C-3PO personality.
docsRefs:
- docs/channels/qa-channel.md
- docs/help/testing.md
codeRefs:
- extensions/qa-channel/src/gateway.ts
- extensions/qa-lab/src/lab-server.ts
execution:
kind: flow
summary: Verify the QA agent can chat coherently in a DM, explain the QA setup, and stay in character.
config:
prompt: "Hello there, who are you?"
```
```yaml qa-flow
steps:
- name: replies coherently in DM
actions:
- call: resetBus
- call: state.addInboundMessage
args:
- conversation:
id: alice
kind: direct
senderId: alice
senderName: Alice
text:
expr: config.prompt
- call: waitForOutboundMessage
saveAs: outbound
args:
- ref: state
- lambda:
params: [candidate]
expr: "candidate.conversation.id === 'alice'"
detailsExpr: outbound.text
```

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# Reaction, edit, delete lifecycle
```yaml qa-scenario
id: reaction-edit-delete
title: Reaction, edit, delete lifecycle
surface: message-actions
coverage:
primary:
- channels.message-actions
secondary:
- channels.qa-channel
objective: Verify the agent can use channel-owned message actions and that the QA transcript reflects them.
successCriteria:
- Agent adds at least one reaction.
- Agent edits or replaces a message when asked.
- Transcript shows the action lifecycle correctly.
docsRefs:
- docs/channels/qa-channel.md
codeRefs:
- extensions/qa-channel/src/channel-actions.ts
- extensions/qa-lab/src/self-check-scenario.ts
execution:
kind: flow
summary: Verify the agent can use channel-owned message actions and that the QA transcript reflects them.
config:
target: "channel:qa-room"
seedText: "seed message"
editedText: "seed message (edited)"
reactionEmoji: "white_check_mark"
```
```yaml qa-flow
steps:
- name: records reaction, edit, and delete actions
actions:
- call: reset
- call: state.addOutboundMessage
saveAs: seed
args:
- to:
expr: config.target
text:
expr: config.seedText
- call: handleQaAction
args:
- env:
ref: env
action: react
args:
messageId:
expr: seed.id
emoji:
expr: config.reactionEmoji
- call: handleQaAction
args:
- env:
ref: env
action: edit
args:
messageId:
expr: seed.id
text:
expr: config.editedText
- call: handleQaAction
args:
- env:
ref: env
action: delete
args:
messageId:
expr: seed.id
- call: state.readMessage
saveAs: message
args:
- messageId:
expr: seed.id
- assert:
expr: "message.reactions.length > 0 && message.deleted && message.text.includes('(edited)')"
message: message lifecycle did not persist
detailsExpr: message.text
```

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# Threaded follow-up
```yaml qa-scenario
id: thread-follow-up
title: Threaded follow-up
surface: thread
coverage:
primary:
- channels.threads
secondary:
- channels.qa-channel
objective: Verify the agent can keep follow-up work inside a thread and not leak context into the root channel.
successCriteria:
- Agent creates or uses a thread for deeper work.
- Follow-up messages stay attached to the thread.
- Thread report references the correct prior context.
docsRefs:
- docs/channels/qa-channel.md
- docs/channels/group-messages.md
codeRefs:
- extensions/qa-channel/src/protocol.ts
- extensions/qa-lab/src/bus-state.ts
execution:
kind: flow
summary: Verify the agent can keep follow-up work inside a thread and not leak context into the root channel.
config:
prompt: "@openclaw reply in one short sentence inside this thread only. Do not use ACP or any external runtime. Confirm you stayed in-thread."
```
```yaml qa-flow
steps:
- name: keeps follow-up inside the thread
actions:
- call: reset
- call: handleQaAction
saveAs: threadPayload
args:
- env:
ref: env
action: thread-create
args:
channelId: qa-room
title: QA deep dive
- set: threadId
value:
expr: "threadPayload?.thread?.id"
- assert:
expr: "Boolean(threadId)"
message: missing thread id
- call: state.addInboundMessage
args:
- conversation:
id: qa-room
kind: channel
title: QA Room
senderId: alice
senderName: Alice
text:
expr: config.prompt
threadId:
ref: threadId
threadTitle: QA deep dive
- call: waitForOutboundMessage
saveAs: outbound
args:
- ref: state
- lambda:
params: [candidate]
expr: "candidate.conversation.id === 'qa-room' && candidate.threadId === threadId"
- expr: "env.providerMode === 'mock-openai' ? 15000 : 45000"
- assert:
expr: "!state.getSnapshot().messages.some((candidate) => candidate.direction === 'outbound' && candidate.conversation.id === 'qa-room' && !candidate.threadId)"
message: thread reply leaked into root channel
- assert:
expr: "!['acp backend','acpx','not configured'].some((needle) => normalizeLowercaseStringOrEmpty(outbound.text).includes(needle))"
message:
expr: "`thread reply fell back to ACP error: ${outbound.text}`"
detailsExpr: outbound.text
```