feat: add CLI settings export/import functionality

- Implemented exportSettings and importSettings APIs for CLI settings.
- Added hooks useExportSettings and useImportSettings for managing export/import operations in the frontend.
- Updated SettingsPage to include buttons for exporting and importing CLI settings.
- Enhanced backend to handle export and import requests, including validation and conflict resolution.
- Introduced new data structures for exported settings and import options.
- Updated localization files to support new export/import features.
- Refactored CLI tool configurations to remove hardcoded model defaults, allowing dynamic model retrieval.
This commit is contained in:
catlog22
2026-02-25 21:40:24 +08:00
parent 4c2bf31525
commit b2b8688d26
24 changed files with 1287 additions and 651 deletions

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@@ -6,7 +6,7 @@ allowed-tools: TeamCreate(*), TeamDelete(*), SendMessage(*), TaskCreate(*), Task
# Team PlanEx
2 成员边规划边执行团队。通过 Wave Pipeline波次流水线实现 planner 和 executor 并行工作planner 完成一个 wave 的 queue 后立即创建 EXEC-* 任务,同时进入下一 wave 规划。所有成员通过 `--role=xxx` 路由。
2 成员边规划边执行团队。通过逐 Issue 节拍流水线实现 planner 和 executor 并行工作planner 完成一个 issue 的 solution 后立即创建 EXEC-* 任务含中间产物文件路径executor 从文件加载 solution 开始实现。所有成员通过 `--role=xxx` 路由。
## Architecture Overview
@@ -63,7 +63,7 @@ Read(VALID_ROLES[role].file)
| Role | Task Prefix | Responsibility | Reuses Agent | Role File |
|------|-------------|----------------|--------------|-----------|
| `planner` | PLAN-* | 需求拆解 → issue 创建 → 方案设计 → 队列编排 → EXEC 任务派发 | issue-plan-agent, issue-queue-agent | [roles/planner.md](roles/planner.md) |
| `planner` | PLAN-* | 需求拆解 → issue 创建 → 方案设计 → 冲突检查 → EXEC 任务逐个派发 | issue-plan-agent | [roles/planner.md](roles/planner.md) |
| `executor` | EXEC-* | 加载 solution → 代码实现 → 测试 → 提交 | code-developer | [roles/executor.md](roles/executor.md) |
## Input Types
@@ -93,7 +93,7 @@ mcp__ccw-tools__team_msg({ summary: `[${role}] ...` })
|------|------|
| 需求拆解 (issue 创建) | ❌ 直接编写/修改代码 |
| 方案设计 (issue-plan-agent) | ❌ 调用 code-developer |
| 队列编排 (issue-queue-agent) | ❌ 运行测试 |
| 冲突检查 (inline files_touched) | ❌ 运行测试 |
| 创建 EXEC-* 任务 | ❌ git commit |
| 监控进度 (消息总线) | |
@@ -113,6 +113,7 @@ mcp__ccw-tools__team_msg({ summary: `[${role}] ...` })
const TEAM_CONFIG = {
name: "planex",
sessionDir: ".workflow/.team/PEX-{slug}-{date}/",
artifactsDir: ".workflow/.team/PEX-{slug}-{date}/artifacts/",
issueDataDir: ".workflow/issues/"
}
```
@@ -135,7 +136,7 @@ mcp__ccw-tools__team_msg({
| Role | Types |
|------|-------|
| planner | `wave_ready`, `queue_ready`, `all_planned`, `error` |
| planner | `wave_ready`, `issue_ready`, `all_planned`, `error` |
| executor | `impl_complete`, `impl_failed`, `wave_done`, `error` |
### CLI Fallback
@@ -161,22 +162,22 @@ TaskUpdate({ taskId: task.id, status: 'in_progress' })
// Phase 5: Report + Loop
```
## Wave Pipeline
## Wave Pipeline (逐 Issue 节拍)
```
Wave 1: planner 创建 issues + 规划 solutions + 形成 queue
↓ (queue ready → 创建 EXEC-* 任务)
Wave 1 执行: executor 开始实现 ←→ planner 继续规划 Wave 2
Wave 2 执行: executor 实现 Wave 2 ←→ planner 规划 Wave 3
...
Final: planner 发送 all_planned → executor 完成剩余 EXEC-* → 结束
Issue 1: planner 规划 solution → 写中间产物 → 冲突检查 → 创建 EXEC-* → issue_ready
↓ (executor 立即开始)
Issue 2: planner 规划 solution → 写中间产物 → 冲突检查 → 创建 EXEC-* → issue_ready
↓ (executor 并行消费)
Issue N: ...
Final: planner 发送 all_planned → executor 完成剩余 EXEC-* → 结束
```
**波次规则**:
- planner 每完成一个 wave 的 queue 后,立即创建 EXEC-* 任务供 executor 消费
- planner 不等待 executor 完成当前 wave直接进入下一 wave
- executor 持续轮询并消费可用的 EXEC-* 任务
**节拍规则**:
- planner 每完成一个 issue 的 solution 后,**立即**创建 EXEC-* 任务并发送 `issue_ready` 信号
- solution 写入中间产物文件(`artifacts/solutions/{issueId}.json`EXEC-* 任务包含 `solution_file` 路径
- executor 从文件加载 solution无需再调 `ccw issue solution`fallback 兼容旧模式
- planner 不等待 executor持续推进下一个 issue
- 当 planner 发送 `all_planned` 消息后executor 完成所有剩余任务即可结束
## Execution Method Selection
@@ -265,6 +266,13 @@ Skill(skill="team-planex", args="-y --text '添加日志'")
// 1. 创建团队
TeamCreate({ team_name: teamName })
// 1.5 初始化 sessionDir + artifacts 目录
const slug = (issueIds[0] || 'batch').replace(/[^a-zA-Z0-9-]/g, '')
const dateStr = new Date().toISOString().slice(0,10).replace(/-/g,'')
const sessionId = `PEX-${slug}-${dateStr}`
const sessionDir = `.workflow/.team/${sessionId}`
Bash(`mkdir -p "${sessionDir}/artifacts/solutions"`)
// 2. 解析输入参数
const issueIds = args.match(/ISS-\d{8}-\d{6}/g) || []
const textMatch = args.match(/--text\s+['"]([^'"]+)['"]/)
@@ -298,11 +306,17 @@ executor 的执行方式已确定: ${executionConfig.executionMethod}
execution_method: ${executionConfig.executionMethod}
code_review: ${executionConfig.codeReviewTool}
## 中间产物(必须)
sessionDir: ${sessionDir}
每个 issue 的 solution 写入: ${sessionDir}/artifacts/solutions/{issueId}.json
EXEC-* 任务 description 必须包含 solution_file 字段指向该文件
每完成一个 issue 立即发送 issue_ready 消息并创建 EXEC-* 任务
## 角色准则(强制)
- 你只能处理 PLAN-* 前缀的任务
- 所有输出必须带 [planner] 标识前缀
- 完成wave 后立即创建 EXEC-* 任务供 executor 消费
- EXEC-* 任务 description 中必须包含 execution_method 字段
- 完成issue 的 solution 后立即创建 EXEC-* 任务(逐 issue 派发,不等 wave 完成)
- EXEC-* 任务 description 中必须包含 execution_method 和 solution_file 字段
## 消息总线(必须)
每次 SendMessage 前,先调用 mcp__ccw-tools__team_msg 记录。
@@ -327,6 +341,10 @@ Task({
代码审查: ${executionConfig.codeReviewTool}
(每个 EXEC-* 任务 description 中可能包含 execution_method 覆盖)
## Solution 加载
优先从 EXEC-* 任务 description 中的 solution_file 路径读取 solution JSON 文件
无 solution_file 时 fallback 到 ccw issue solution 命令
## 角色准则(强制)
- 你只能处理 EXEC-* 前缀的任务
- 所有输出必须带 [executor] 标识前缀
@@ -351,7 +369,7 @@ Task({
| Unknown --role value | Error with available role list |
| Missing --role arg | Enter orchestration mode |
| Role file not found | Error with expected path (roles/{name}.md) |
| Planner wave failure | Retry once, then report error and halt pipeline |
| Planner issue planning failure | Retry once, then report error and skip to next issue |
| Executor impl failure | Report to planner, continue with next EXEC-* task |
| No EXEC-* tasks yet | Executor idles, polls for new tasks |
| Pipeline stall | Planner monitors — if executor blocked > 2 tasks, escalate to user |

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@@ -72,7 +72,7 @@
```javascript
// 从任务描述中解析 execution_method
function resolveExecutor(taskDesc, solutionTaskCount) {
const methodMatch = taskDesc.match(/execution_method:\s*(Agent|Codex|Gemini|Auto)/i)
const methodMatch = taskDesc.match(/execution_method[:\s]*\s*(Agent|Codex|Gemini|Auto)/i)
const method = methodMatch ? methodMatch[1] : 'Auto'
if (method.toLowerCase() === 'auto') {
@@ -165,9 +165,20 @@ if (!issueId) {
return
}
// Load solution plan
const solJson = Bash(`ccw issue solution ${issueId} --json`)
const solution = JSON.parse(solJson)
// Load solution plan — dual mode: file-first, CLI fallback
const solutionFileMatch = task.description.match(/solution_file[:\s]*\s*(\S+\.json)/)
let solution
if (solutionFileMatch) {
// 新模式:从中间产物文件加载
const solutionData = JSON.parse(Read(solutionFileMatch[1]))
// 保持 solution.bound 结构兼容
solution = solutionData.bound ? solutionData : { bound: solutionData }
} else {
// 兼容模式:从 ccw issue solution 加载
const solJson = Bash(`ccw issue solution ${issueId} --json`)
solution = JSON.parse(solJson)
}
if (!solution.bound) {
mcp__ccw-tools__team_msg({

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@@ -1,6 +1,6 @@
# Role: planner
需求拆解 → issue 创建 → 方案设计 → 队列编排 → EXEC 任务派发。内部调用 issue-plan-agent 和 issue-queue-agent并通过 Wave Pipeline 持续推进。planner 同时承担 lead 角色(无独立 coordinator
需求拆解 → issue 创建 → 方案设计 → 冲突检查 → EXEC 任务逐个派发。内部调用 issue-plan-agent(单 issue通过 inline files_touched 冲突检查替代 issue-queue-agent每完成一个 issue 立即派发 EXEC-* 任务。planner 同时承担 lead 角色(无独立 coordinator
## Role Identity
@@ -16,8 +16,8 @@
- 仅处理 `PLAN-*` 前缀的任务
- 所有输出必须带 `[planner]` 标识
- 完成wave 的 queue 后**立即创建 EXEC-\* 任务**
- 不等待 executor 完成当前 wave直接进入下一 wave 规划
- 完成issue 的 solution 后**立即创建 EXEC-\* 任务**并发送 `issue_ready` 信号
- 不等待 executor,持续推进下一个 issue
### MUST NOT
@@ -30,8 +30,8 @@
| Type | Direction | Trigger | Description |
|------|-----------|---------|-------------|
| `wave_ready` | planner → executor | Wave queue 完成 + EXEC 任务已创建 | 新 wave 可执行 |
| `queue_ready` | planner → executor | 单个 issue 的 queue 就绪 | 增量通知 |
| `issue_ready` | planner → executor | 单个 issue solution + EXEC 任务已创建 | 逐 issue 节拍信号 |
| `wave_ready` | planner → executor | 一组 issues 全部派发完毕 | wave 汇总信号 |
| `all_planned` | planner → executor | 所有 wave 规划完毕 | 最终信号 |
| `error` | planner → executor | 阻塞性错误 | 规划失败 |
@@ -41,8 +41,7 @@
| Agent Type | Purpose |
|------------|---------|
| `issue-plan-agent` | Closed-loop planning: ACE exploration + solution generation + binding |
| `issue-queue-agent` | Solution ordering + conflict detection → execution queue |
| `issue-plan-agent` | Closed-loop planning: ACE exploration + solution generation + binding (单 issue 粒度) |
### CLI Capabilities
@@ -167,188 +166,217 @@ if (inputType === 'plan_file') {
Issue IDs 已就绪,直接进入 solution 规划。
#### Path D: execution-plan.json → 波次感知处理
#### Path D: execution-plan.json → 波次感知逐 issue 处理
```javascript
if (inputType === 'execution_plan') {
const projectRoot = Bash('cd . && pwd').trim()
const waves = executionPlan.waves
const dispatchedSolutions = []
// sessionDir 从 planner prompt 中的 sessionDir 变量获取
const execution_method = args.match(/execution_method:\s*(\S+)/)?.[1] || 'Auto'
const code_review = args.match(/code_review:\s*(\S+)/)?.[1] || 'Skip'
let waveNum = 0
for (const wave of waves) {
waveNum++
const waveIssues = wave.issue_ids
// Step 1: issue-plan-agent 生成 solutions
const planResult = Task({
subagent_type: "issue-plan-agent",
run_in_background: false,
description: `Plan solutions for wave ${waveNum}: ${wave.label}`,
prompt: `
issue_ids: ${JSON.stringify(waveIssues)}
for (const issueId of wave.issue_ids) {
// Step 1: 单 issue 规划
const planResult = Task({
subagent_type: "issue-plan-agent",
run_in_background: false,
description: `Plan solution for ${issueId}`,
prompt: `issue_ids: ["${issueId}"]
project_root: "${projectRoot}"
## Requirements
- Generate solutions for each issue
- Auto-bind single solutions
- Generate solution for this issue
- Auto-bind single solution
- Issues come from req-plan decomposition (tags: req-plan)
- Respect inter-issue dependencies: ${JSON.stringify(executionPlan.issue_dependencies)}
`
- Respect dependencies: ${JSON.stringify(executionPlan.issue_dependencies)}`
})
// Step 2: 获取 solution + 写中间产物
const solJson = Bash(`ccw issue solution ${issueId} --json`)
const solution = JSON.parse(solJson)
const solutionFile = `${sessionDir}/artifacts/solutions/${issueId}.json`
Write({
file_path: solutionFile,
content: JSON.stringify({
session_id: sessionId, issue_id: issueId, ...solution,
execution_config: { execution_method, code_review },
timestamp: new Date().toISOString()
}, null, 2)
})
// Step 3: inline 冲突检查
const blockedBy = inlineConflictCheck(issueId, solution, dispatchedSolutions)
// Step 4: 创建 EXEC-* 任务
const execTask = TaskCreate({
subject: `EXEC-W${waveNum}-${issueId}: 实现 ${solution.bound?.title || issueId}`,
description: `## 执行任务\n**Wave**: ${waveNum}\n**Issue**: ${issueId}\n**solution_file**: ${solutionFile}\n**execution_method**: ${execution_method}\n**code_review**: ${code_review}`,
activeForm: `实现 ${issueId}`,
owner: "executor"
})
if (blockedBy.length > 0) {
TaskUpdate({ taskId: execTask.id, addBlockedBy: blockedBy })
}
// Step 5: 累积 + 节拍信号
dispatchedSolutions.push({ issueId, solution, execTaskId: execTask.id })
mcp__ccw-tools__team_msg({
operation: "log", team: "planex", from: "planner", to: "executor",
type: "issue_ready",
summary: `[planner] issue_ready: ${issueId}`,
ref: solutionFile
})
SendMessage({
type: "message", recipient: "executor",
content: `## [planner] Issue Ready: ${issueId}\n**solution_file**: ${solutionFile}\n**EXEC task**: ${execTask.subject}`,
summary: `[planner] issue_ready: ${issueId}`
})
}
// wave 级汇总
mcp__ccw-tools__team_msg({
operation: "log", team: "planex", from: "planner", to: "executor",
type: "wave_ready",
summary: `[planner] Wave ${waveNum} fully dispatched: ${wave.issue_ids.length} issues`
})
// Step 2: issue-queue-agent 形成 queue
const queueResult = Task({
subagent_type: "issue-queue-agent",
run_in_background: false,
description: `Form queue for wave ${waveNum}: ${wave.label}`,
prompt: `
issue_ids: ${JSON.stringify(waveIssues)}
project_root: "${projectRoot}"
## Requirements
- Order solutions by dependency (DAG)
- Detect conflicts between solutions
- Respect wave dependencies: ${JSON.stringify(wave.depends_on_waves)}
- Output execution queue
`
})
// Step 3: → Phase 4 (Wave Dispatch) - create EXEC-* tasks
// Continue to next wave without waiting for executor
}
// After all waves → Phase 5 (Report + Finalize)
}
```
**关键差异**: 波次分组来自 `executionPlan.waves`而非固定 batch=5。Progressive 模式下 L0(Wave 1) → L1(Wave 2)Direct 模式下 parallel_group 映射为 wave。
**关键差异**: 波次分组来自 `executionPlan.waves`但每个 issue 独立规划 + 即时派发。Progressive 模式下 L0(Wave 1) → L1(Wave 2)Direct 模式下 parallel_group 映射为 wave。
#### Wave 规划Path A/B/C 汇聚)
#### Wave 规划Path A/B/C 汇聚)— 逐 issue 派发
将 issueIds 按波次分组规划Path D 使用独立的波次逻辑,不走此路径):
将 issueIds 逐个规划并即时派发Path D 使用独立的波次逻辑,不走此路径):
```javascript
if (inputType !== 'execution_plan') {
// Path A/B/C: 固定 batch=5 分组
const projectRoot = Bash('cd . && pwd').trim()
const dispatchedSolutions = []
const execution_method = args.match(/execution_method:\s*(\S+)/)?.[1] || 'Auto'
const code_review = args.match(/code_review:\s*(\S+)/)?.[1] || 'Skip'
let waveNum = 1 // 简化:不再按 WAVE_SIZE=5 分组,全部视为一个逻辑 wave
// 按批次分组(每 wave 最多 5 个 issues
const WAVE_SIZE = 5
const waves = []
for (let i = 0; i < issueIds.length; i += WAVE_SIZE) {
waves.push(issueIds.slice(i, i + WAVE_SIZE))
}
let waveNum = 0
for (const waveIssues of waves) {
waveNum++
// Step 1: 调用 issue-plan-agent 生成 solutions
const planResult = Task({
subagent_type: "issue-plan-agent",
run_in_background: false,
description: `Plan solutions for wave ${waveNum}`,
prompt: `
issue_ids: ${JSON.stringify(waveIssues)}
for (const issueId of issueIds) {
// Step 1: 单 issue 规划
const planResult = Task({
subagent_type: "issue-plan-agent",
run_in_background: false,
description: `Plan solution for ${issueId}`,
prompt: `issue_ids: ["${issueId}"]
project_root: "${projectRoot}"
## Requirements
- Generate solutions for each issue
- Auto-bind single solutions
- For multiple solutions, select the most pragmatic one
`
})
- Generate solution for this issue
- Auto-bind single solution
- For multiple solutions, select the most pragmatic one`
})
// Step 2: 调用 issue-queue-agent 形成 queue
const queueResult = Task({
subagent_type: "issue-queue-agent",
run_in_background: false,
description: `Form queue for wave ${waveNum}`,
prompt: `
issue_ids: ${JSON.stringify(waveIssues)}
project_root: "${projectRoot}"
// Step 2: 获取 solution + 写中间产物
const solJson = Bash(`ccw issue solution ${issueId} --json`)
const solution = JSON.parse(solJson)
const solutionFile = `${sessionDir}/artifacts/solutions/${issueId}.json`
Write({
file_path: solutionFile,
content: JSON.stringify({
session_id: sessionId, issue_id: issueId, ...solution,
execution_config: { execution_method, code_review },
timestamp: new Date().toISOString()
}, null, 2)
})
## Requirements
- Order solutions by dependency (DAG)
- Detect conflicts between solutions
- Output execution queue
`
})
// Step 3: inline 冲突检查
const blockedBy = inlineConflictCheck(issueId, solution, dispatchedSolutions)
// Step 3: → Phase 4 (Wave Dispatch)
}
// Step 4: 创建 EXEC-* 任务
const execTask = TaskCreate({
subject: `EXEC-W${waveNum}-${issueId}: 实现 ${solution.bound?.title || issueId}`,
description: `## 执行任务\n**Wave**: ${waveNum}\n**Issue**: ${issueId}\n**solution_file**: ${solutionFile}\n**execution_method**: ${execution_method}\n**code_review**: ${code_review}`,
activeForm: `实现 ${issueId}`,
owner: "executor"
})
if (blockedBy.length > 0) {
TaskUpdate({ taskId: execTask.id, addBlockedBy: blockedBy })
}
// Step 5: 累积 + 节拍信号
dispatchedSolutions.push({ issueId, solution, execTaskId: execTask.id })
mcp__ccw-tools__team_msg({
operation: "log", team: "planex", from: "planner", to: "executor",
type: "issue_ready",
summary: `[planner] issue_ready: ${issueId}`,
ref: solutionFile
})
SendMessage({
type: "message", recipient: "executor",
content: `## [planner] Issue Ready: ${issueId}\n**solution_file**: ${solutionFile}\n**EXEC task**: ${execTask.subject}`,
summary: `[planner] issue_ready: ${issueId}`
})
}
} // end if (inputType !== 'execution_plan')
```
### Phase 4: Wave Dispatch
### Phase 4: Inline Conflict Check + Wave Summary
每个 wave 的 queue 完成后,**立即创建 EXEC-\* 任务**供 executor 消费
EXEC-* 任务创建已在 Phase 3 逐 issue 完成Phase 4 仅负责 inline 冲突检查函数定义和 wave 汇总
#### Inline Conflict Check 函数
```javascript
// Read the generated queue
const queuePath = `.workflow/issues/queue/execution-queue.json`
const queue = JSON.parse(Read(queuePath))
// Inline conflict check — 替代 issue-queue-agent
// 基于 files_touched 重叠检测 + 显式依赖
function inlineConflictCheck(issueId, solution, dispatchedSolutions) {
const currentFiles = solution.bound?.files_touched
|| solution.bound?.affected_files || []
const blockedBy = []
// Create EXEC-* tasks from queue entries
const execTasks = []
for (const entry of queue.queue) {
const execTask = TaskCreate({
subject: `EXEC-W${waveNum}-${entry.issue_id}: 实现 ${entry.title || entry.issue_id}`,
description: `## 执行任务
**Wave**: ${waveNum}
**Issue**: ${entry.issue_id}
**Solution**: ${entry.solution_id}
**Priority**: ${entry.priority || 'normal'}
**Dependencies**: ${entry.depends_on?.join(', ') || 'none'}
加载 solution plan 并实现代码。完成后运行测试、提交。`,
activeForm: `实现 ${entry.issue_id}`,
owner: "executor"
})
execTasks.push(execTask)
}
// Set up dependency chains between EXEC tasks (based on queue DAG)
for (const entry of queue.queue) {
if (entry.depends_on?.length > 0) {
const thisTask = execTasks.find(t => t.subject.includes(entry.issue_id))
const depTasks = entry.depends_on.map(depId =>
execTasks.find(t => t.subject.includes(depId))
).filter(Boolean)
if (thisTask && depTasks.length > 0) {
TaskUpdate({
taskId: thisTask.id,
addBlockedBy: depTasks.map(t => t.id)
})
// 1. 文件冲突检测
for (const prev of dispatchedSolutions) {
const prevFiles = prev.solution.bound?.files_touched
|| prev.solution.bound?.affected_files || []
const overlap = currentFiles.filter(f => prevFiles.includes(f))
if (overlap.length > 0) {
blockedBy.push(prev.execTaskId)
}
}
// 2. 显式依赖
const explicitDeps = solution.bound?.dependencies?.on_issues || []
for (const depId of explicitDeps) {
const depTask = dispatchedSolutions.find(d => d.issueId === depId)
if (depTask && !blockedBy.includes(depTask.execTaskId)) {
blockedBy.push(depTask.execTaskId)
}
}
return blockedBy
}
```
// Notify executor: wave ready
#### Wave Summary Signal
Phase 3 循环完成后发送汇总信号Path A/B/C 在全部 issue 完成后Path D 在每个 wave 完成后):
```javascript
// Wave summary — 已在 Phase 3 循环中由每个 wave 末尾发送
// Path A/B/C: 全部 issue 完成后发送一次
mcp__ccw-tools__team_msg({
operation: "log",
team: "planex",
from: "planner",
to: "executor",
operation: "log", team: "planex", from: "planner", to: "executor",
type: "wave_ready",
summary: `[planner] Wave ${waveNum} ready: ${execTasks.length} EXEC tasks created`
summary: `[planner] Wave ${waveNum} fully dispatched: ${issueIds.length} issues`
})
SendMessage({
type: "message",
recipient: "executor",
content: `## [planner] Wave ${waveNum} Ready
**Issues**: ${waveIssues.join(', ')}
**EXEC Tasks Created**: ${execTasks.length}
**Queue**: ${queuePath}
Executor 可以开始实现。`,
type: "message", recipient: "executor",
content: `## [planner] Wave ${waveNum} Complete\n所有 issues 已逐个派发完毕,共 ${dispatchedSolutions.length} 个 EXEC 任务。`,
summary: `[planner] wave_ready: wave ${waveNum}`
})
// 不等待 executor 完成,继续下一 wave → back to Phase 3 loop
```
### Phase 5: Report + Finalize
@@ -443,9 +471,10 @@ function parsePlanPhases(planContent) {
| No PLAN-* tasks available | Idle, wait for orchestrator |
| Issue creation failure | Retry once with simplified text, then report error |
| issue-plan-agent failure | Retry once, then report error and skip to next issue |
| issue-queue-agent failure | Retry once, then create EXEC tasks without DAG ordering |
| Inline conflict check failure | Skip conflict detection, create EXEC task without blockedBy |
| Plan file not found | Report error with expected path |
| execution-plan.json parse failure | Fallback to plan_file parsing (Path B) |
| execution-plan.json missing waves | Report error, suggest re-running req-plan |
| Empty input (no issues, no text, no plan) | AskUserQuestion for clarification |
| Solution artifact write failure | Log warning, create EXEC task without solution_file (executor fallback) |
| Wave partially failed | Report partial success, continue with successful issues |

View File

@@ -1,16 +1,16 @@
---
name: issue-devpipeline
description: |
Plan-and-Execute pipeline with Wave Pipeline pattern.
Plan-and-Execute pipeline with per-issue beat pattern.
Orchestrator coordinates planner (Deep Interaction) and executors (Parallel Fan-out).
Planner produces wave queues, executors implement solutions concurrently.
agents: 4
Planner outputs per-issue solutions, executors implement solutions concurrently.
agents: 3
phases: 4
---
# Issue DevPipeline
边规划边执行流水线。编排器通过 Wave Pipeline 协调 planner 和 executor(s)planner 完成一个 wave 的规划后输出执行队列,编排器即为该 wave 派发 executor agents,同时 planner 继续规划下一 wave。
边规划边执行流水线。编排器通过逐 Issue 节拍流水线协调 planner 和 executor(s)planner 完成一个 issue 的规划后立即输出,编排器即为该 issue 派发 executor agent同时 planner 继续规划下一 issue。
## Architecture Overview
@@ -24,24 +24,23 @@ phases: 4
│ Planner │ │ Executors (N) │
│ (Deep │ │ (Parallel Fan-out) │
│ Interaction│ │ │
multi-round│ │ exec-1 exec-2 ... │
per-issue) │ │ exec-1 exec-2 ... │
└──────┬──────┘ └──────────┬──────────┘
│ │
┌──────┴──────┐ ┌──────────┴──────────┐
│ issue-plan │ │ code-developer │
issue-queue │ │ (role reference) │
│ (existing) │ │ │
(existing) │ │ (role reference) │
└─────────────┘ └─────────────────────┘
```
**Wave Pipeline Flow**:
**Per-Issue Beat Pipeline Flow**:
```
Planner Round 1 → Wave 1 queue
↓ (spawn executors for wave 1)
↓ send_input → Planner Round 2 → Wave 2 queue
↓ (spawn executors for wave 2)
Planner → Issue 1 solution → ISSUE_READY
↓ (spawn executor for issue 1)
↓ send_input → Planner → Issue 2 solution → ISSUE_READY
↓ (spawn executor for issue 2)
...
↓ Planner outputs "ALL_PLANNED"
↓ Planner outputs "all_planned"
↓ wait for all executor agents
↓ Aggregate results → Done
```
@@ -50,10 +49,9 @@ Planner Round 1 → Wave 1 queue
| Agent | Role File | Responsibility | New/Existing |
|-------|-----------|----------------|--------------|
| `planex-planner` | `~/.codex/agents/planex-planner.md` | 需求拆解 → issue 创建 → 方案设计 → 队列编排 | New |
| `planex-planner` | `~/.codex/agents/planex-planner.md` | 需求拆解 → issue 创建 → 方案设计 → 冲突检查 → 逐 issue 输出 | New |
| `planex-executor` | `~/.codex/agents/planex-executor.md` | 加载 solution → 代码实现 → 测试 → 提交 | New |
| `issue-plan-agent` | `~/.codex/agents/issue-plan-agent.md` | Closed-loop: ACE 探索 + solution 生成 | Existing |
| `issue-queue-agent` | `~/.codex/agents/issue-queue-agent.md` | Solution 排序 + 冲突检测 → 执行队列 | Existing |
## Input Types
@@ -88,9 +86,16 @@ const inputPayload = {
text: textMatch ? textMatch[1] : args,
planFile: planMatch ? planMatch[1] : null
}
// Initialize session directory for artifacts
const slug = (issueIds[0] || 'batch').replace(/[^a-zA-Z0-9-]/g, '')
const dateStr = new Date().toISOString().slice(0,10).replace(/-/g,'')
const sessionId = `PEX-${slug}-${dateStr}`
const sessionDir = `.workflow/.team/${sessionId}`
shell(`mkdir -p "${sessionDir}/artifacts/solutions"`)
```
### Phase 2: Planning (Deep Interaction with Planner)
### Phase 2: Planning (Deep Interaction with Planner — Per-Issue Beat)
```javascript
// Track all agents for cleanup
@@ -108,45 +113,42 @@ const plannerId = spawn_agent({
---
Goal: 分析需求并完成第一波 (Wave 1) 的规划。输出执行队列
Goal: 分析需求并逐 issue 输出规划结果。每完成一个 issue 立即输出
Input:
${JSON.stringify(inputPayload, null, 2)}
Session Dir: ${sessionDir}
Scope:
- Include: 需求分析、issue 创建、方案设计、队列编排
- Include: 需求分析、issue 创建、方案设计、inline 冲突检查、写中间产物
- Exclude: 代码实现、测试执行、git 操作
Deliverables:
输出严格遵循以下 JSON 格式:
每个 issue 输出严格遵循以下 JSON 格式:
\`\`\`json
{
"wave": 1,
"status": "wave_ready" | "all_planned",
"issues": ["ISS-xxx", ...],
"queue": [
{
"issue_id": "ISS-xxx",
"solution_id": "SOL-xxx",
"title": "描述",
"priority": "normal",
"depends_on": []
}
],
"status": "issue_ready" | "all_planned",
"issue_id": "ISS-xxx",
"solution_id": "SOL-xxx",
"title": "描述",
"priority": "normal",
"depends_on": [],
"solution_file": "${sessionDir}/artifacts/solutions/ISS-xxx.json",
"remaining_issues": ["ISS-yyy", ...],
"summary": "本波次规划摘要"
"summary": "本 issue 规划摘要"
}
\`\`\`
Quality bar:
- 每个 issue 必须有绑定的 solution
- 队列必须按依赖排序
- 每波最多 5 个 issues
- Solution 写入中间产物文件
- Inline 冲突检查标记 depends_on
`
})
allAgentIds.push(plannerId)
// Wait for planner Wave 1 output
// Wait for planner first issue output
let plannerResult = wait({ ids: [plannerId], timeout_ms: 900000 })
if (plannerResult.timed_out) {
@@ -155,21 +157,21 @@ if (plannerResult.timed_out) {
}
// Parse planner output
let waveData = parseWaveOutput(plannerResult.status[plannerId].completed)
let issueData = parseIssueOutput(plannerResult.status[plannerId].completed)
```
### Phase 3: Wave Execution Loop
### Phase 3: Per-Issue Execution Loop
```javascript
const executorResults = []
let waveNum = 0
let issueCount = 0
while (true) {
waveNum++
issueCount++
// ─── Dispatch executors for current wave (Parallel Fan-out) ───
const waveExecutors = waveData.queue.map(entry =>
spawn_agent({
// ─── Dispatch executor for current issue (if valid) ───
if (issueData && issueData.issue_id) {
const executorId = spawn_agent({
message: `
## TASK ASSIGNMENT
@@ -180,23 +182,25 @@ while (true) {
---
Goal: 实现 ${entry.issue_id} 的 solution
Goal: 实现 ${issueData.issue_id} 的 solution
Issue: ${entry.issue_id}
Solution: ${entry.solution_id}
Title: ${entry.title}
Priority: ${entry.priority}
Dependencies: ${entry.depends_on?.join(', ') || 'none'}
Issue: ${issueData.issue_id}
Solution: ${issueData.solution_id}
Title: ${issueData.title}
Priority: ${issueData.priority}
Dependencies: ${issueData.depends_on?.join(', ') || 'none'}
Solution File: ${issueData.solution_file}
Session Dir: ${sessionDir}
Scope:
- Include: 加载 solution plan、代码实现、测试运行、git commit
- Exclude: issue 创建、方案修改、队列变更
- Exclude: issue 创建、方案修改
Deliverables:
输出严格遵循以下格式:
\`\`\`json
{
"issue_id": "${entry.issue_id}",
"issue_id": "${issueData.issue_id}",
"status": "success" | "failed",
"files_changed": ["path/to/file", ...],
"tests_passed": true | false,
@@ -214,65 +218,57 @@ Quality bar:
- 每个变更必须 commit
`
})
)
allAgentIds.push(...waveExecutors)
// ─── Check if more waves needed ───
if (waveData.status === 'all_planned') {
// No more waves — wait for current executors and finish
const execResults = wait({ ids: waveExecutors, timeout_ms: 1200000 })
waveExecutors.forEach((id, i) => {
executorResults.push({
wave: waveNum,
issue: waveData.queue[i].issue_id,
result: execResults.status[id]?.completed || 'timeout'
})
allAgentIds.push(executorId)
executorResults.push({
id: executorId,
issueId: issueData.issue_id,
index: issueCount
})
}
// ─── Check if all planned ───
if (issueData?.status === 'all_planned') {
break
}
// ─── Request next wave from planner (while executors run) ───
// ─── Request next issue from planner ───
send_input({
id: plannerId,
message: `
## WAVE ${waveNum} 已派发
已为 Wave ${waveNum} 创建 ${waveExecutors.length} 个 executor agents。
## NEXT
请继续规划下一波 (Wave ${waveNum + 1})。
剩余 issues: ${JSON.stringify(waveData.remaining_issues)}
输出格式同前。如果所有 issues 已规划完毕status 设为 "all_planned"。
`
message: `Issue ${issueData?.issue_id || 'unknown'} dispatched. Continue to next issue.`
})
// ─── Wait for both: executors (current wave) + planner (next wave) ───
const allWaiting = [...waveExecutors, plannerId]
const batchResult = wait({ ids: allWaiting, timeout_ms: 1200000 })
// ─── Wait for planner next issue ───
const nextResult = wait({ ids: [plannerId], timeout_ms: 900000 })
// Collect executor results
waveExecutors.forEach((id, i) => {
executorResults.push({
wave: waveNum,
issue: waveData.queue[i].issue_id,
result: batchResult.status[id]?.completed || 'timeout'
})
})
// Parse next wave from planner
if (batchResult.status[plannerId]?.completed) {
waveData = parseWaveOutput(batchResult.status[plannerId].completed)
if (nextResult.timed_out) {
send_input({ id: plannerId, message: "请尽快输出当前已完成的规划结果。" })
const retryResult = wait({ ids: [plannerId], timeout_ms: 120000 })
if (retryResult.timed_out) break
issueData = parseIssueOutput(retryResult.status[plannerId].completed)
} else {
// Planner timed out — wait more
const plannerRetry = wait({ ids: [plannerId], timeout_ms: 300000 })
if (plannerRetry.timed_out) {
// Abort pipeline
break
}
waveData = parseWaveOutput(plannerRetry.status[plannerId].completed)
issueData = parseIssueOutput(nextResult.status[plannerId].completed)
}
}
// ─── Wait for all executor agents ───
const executorIds = executorResults.map(e => e.id)
if (executorIds.length > 0) {
const execResults = wait({ ids: executorIds, timeout_ms: 1200000 })
// Handle timeouts
if (execResults.timed_out) {
const pending = executorIds.filter(id => !execResults.status[id]?.completed)
pending.forEach(id => {
send_input({ id, message: "Please finalize current task and output results." })
})
wait({ ids: pending, timeout_ms: 120000 })
}
// Collect results
executorResults.forEach(entry => {
entry.result = execResults.status[entry.id]?.completed || 'timeout'
})
}
```
### Phase 4: Aggregation & Cleanup
@@ -297,19 +293,18 @@ const failed = executorResults.filter(r => {
const report = `
## PlanEx Pipeline Complete
**Waves**: ${waveNum}
**Total Issues**: ${executorResults.length}
**Succeeded**: ${succeeded.length}
**Failed**: ${failed.length}
### Results by Wave
${executorResults.map(r => `- Wave ${r.wave} | ${r.issue} | ${(() => {
### Results
${executorResults.map(r => `- ${r.issueId} | ${(() => {
try { return JSON.parse(r.result).status } catch { return 'error' }
})()}`).join('\n')}
${failed.length > 0 ? `### Failed Issues
${failed.map(r => `- ${r.issue}: ${(() => {
try { return JSON.parse(r.result).error } catch { return r.result.slice(0, 200) }
${failed.map(r => `- ${r.issueId}: ${(() => {
try { return JSON.parse(r.result).error } catch { return r.result?.slice(0, 200) || 'unknown' }
})()}`).join('\n')}` : ''}
`
@@ -324,7 +319,7 @@ allAgentIds.forEach(id => {
## Helper Functions
```javascript
function parseWaveOutput(output) {
function parseIssueOutput(output) {
// Extract JSON block from agent output
const jsonMatch = output.match(/```json\s*([\s\S]*?)```/)
if (jsonMatch) {
@@ -332,8 +327,8 @@ function parseWaveOutput(output) {
}
// Fallback: try parsing entire output as JSON
try { return JSON.parse(output) } catch {}
// Last resort: return empty wave with all_planned
return { wave: 0, status: 'all_planned', queue: [], remaining_issues: [], summary: 'Parse failed' }
// Last resort: return empty with all_planned
return { status: 'all_planned', issue_id: null, remaining_issues: [], summary: 'Parse failed' }
}
```
@@ -342,11 +337,11 @@ function parseWaveOutput(output) {
```javascript
const CONFIG = {
sessionDir: ".workflow/.team/PEX-{slug}-{date}/",
artifactsDir: ".workflow/.team/PEX-{slug}-{date}/artifacts/",
issueDataDir: ".workflow/issues/",
maxWaveSize: 5,
plannerTimeout: 900000, // 15 min
executorTimeout: 1200000, // 20 min
maxWaves: 10
maxIssues: 50
}
```
@@ -356,10 +351,10 @@ const CONFIG = {
| Scenario | Action |
|----------|--------|
| Planner wave timeout | send_input 催促收敛retry wait 120s |
| Planner issue timeout | send_input 催促收敛retry wait 120s |
| Executor timeout | 标记为 failed继续其他 executor |
| Batch wait partial timeout | 收集已完成结果,继续 pipeline |
| Pipeline stall (> 2 waves timeout) | 中止 pipeline输出部分结果 |
| Pipeline stall (> 3 issues timeout) | 中止 pipeline输出部分结果 |
### Cleanup Protocol
@@ -379,5 +374,5 @@ allAgentIds.forEach(id => {
| No issues created | Report error, abort pipeline |
| Solution planning failure | Skip issue, report in final results |
| Executor implementation failure | Mark as failed, continue with other executors |
| All executors in wave fail | Report wave failure, continue to next wave |
| Planner exits early | Treat as all_planned, finish current wave |
| Inline conflict check failure | Use empty depends_on, continue |
| Planner exits early | Treat as all_planned, finish current executors |

View File

@@ -1,7 +1,7 @@
---
name: planex-executor
description: |
PlanEx 执行角色。加载 solution plan → 代码实现 → 测试验证 → git commit。
PlanEx 执行角色。从中间产物文件加载 solution plan(兼容 CLI fallback→ 代码实现 → 测试验证 → git commit。
每个 executor 实例处理一个 issue 的 solution。
color: green
skill: issue-devpipeline
@@ -9,11 +9,11 @@ skill: issue-devpipeline
# PlanEx Executor
代码实现角色。接收编排器派发的 issue + solution 信息,加载 solution plan实现代码变更运行测试验证提交变更。每个 executor 实例独立处理一个 issue。
代码实现角色。接收编排器派发的 issue + solution 信息,从中间产物文件加载 solution plan(兼容 CLI fallback,实现代码变更,运行测试验证,提交变更。每个 executor 实例独立处理一个 issue。
## Core Capabilities
1. **Solution 加载**: 通过 `ccw issue solutions <id> --json` 加载绑定的 solution plan
1. **Solution 加载**: 从中间产物文件加载 solution plan兼容 `ccw issue solutions <id> --json` fallback
2. **代码实现**: 按 solution plan 的任务列表顺序实现代码变更
3. **测试验证**: 运行相关测试确保变更正确且不破坏现有功能
4. **变更提交**: 将实现的代码 commit 到 git
@@ -179,10 +179,24 @@ function getUtc8ISOString() {
### Step 2: Solution Loading & Implementation
```javascript
// ── Load solution plan ──
// ── Load solution plan (dual-mode: artifact file first, CLI fallback) ──
const issueId = taskAssignment.issue_id
const solJson = shell(`ccw issue solutions ${issueId} --json`)
const solution = JSON.parse(solJson)
const solutionFile = taskAssignment.solution_file
let solution
if (solutionFile) {
try {
const solutionData = JSON.parse(read_file(solutionFile))
solution = solutionData.bound ? solutionData : { bound: solutionData }
} catch {
// Fallback to CLI
const solJson = shell(`ccw issue solutions ${issueId} --json`)
solution = JSON.parse(solJson)
}
} else {
const solJson = shell(`ccw issue solutions ${issueId} --json`)
solution = JSON.parse(solJson)
}
if (!solution.bound) {
outputError(`No bound solution for ${issueId}`)

View File

@@ -1,23 +1,24 @@
---
name: planex-planner
description: |
PlanEx 规划角色。需求拆解 → issue 创建 → 方案设计 → 队列编排
按波次 (wave) 输出执行队列,支持 Deep Interaction 多轮交互。
PlanEx 规划角色。需求拆解 → issue 创建 → 方案设计 → inline 冲突检查
逐 issue 输出执行信息,支持 Deep Interaction 多轮交互。
color: blue
skill: issue-devpipeline
---
# PlanEx Planner
需求分析和规划角色。接收需求输入issue IDs / 文本 / plan 文件完成需求拆解、issue 创建、方案设计(调用 issue-plan-agent队列编排(调用 issue-queue-agent按波次输出执行队列供编排器派发 executor。
需求分析和规划角色。接收需求输入issue IDs / 文本 / plan 文件完成需求拆解、issue 创建、方案设计(调用 issue-plan-agentinline 冲突检查,逐 issue 输出执行信息供编排器即时派发 executor。
## Core Capabilities
1. **需求分析**: 解析输入类型,提取需求要素
2. **Issue 创建**: 将文本/plan 拆解为结构化 issue通过 `ccw issue new`
3. **方案设计**: 调用 issue-plan-agent 为每个 issue 生成 solution
4. **队列编排**: 调用 issue-queue-agent 按依赖排序形成执行队列
5. **波次输出**: 每波最多 5 个 issues输出结构化 JSON 队列
4. **Inline 冲突检查**: 基于 files_touched 重叠检测 + 显式依赖排序
5. **中间产物**: 将 solution 写入文件供 executor 直接加载
6. **逐 issue 输出**: 每完成一个 issue 立即输出 JSON编排器即时派发
## Execution Process
@@ -32,6 +33,7 @@ skill: issue-devpipeline
- **Goal**: What to achieve
- **Scope**: What's allowed and forbidden
- **Input**: Input payload with type, issueIds, text, planFile
- **Session Dir**: Path for writing solution artifacts
- **Deliverables**: Expected JSON output format
### Step 2: Input Processing & Issue Creation
@@ -40,6 +42,7 @@ skill: issue-devpipeline
```javascript
const input = taskAssignment.input
const sessionDir = taskAssignment.session_dir
if (input.type === 'issue_ids') {
// Issue IDs 已提供,直接使用
@@ -68,28 +71,24 @@ if (input.type === 'plan_file') {
}
```
### Step 3: Solution Planning & Queue Formation
### Step 3: Per-Issue Solution Planning & Artifact Writing
分波次处理 issues。每波最多 5 个
issue 处理plan-agent → 写中间产物 → 冲突检查 → 输出 JSON
```javascript
const WAVE_SIZE = 5
const allIssues = [...issueIds]
const waves = []
const projectRoot = shell('pwd').trim()
const dispatchedSolutions = []
const remainingIssues = [...issueIds]
for (let i = 0; i < allIssues.length; i += WAVE_SIZE) {
waves.push(allIssues.slice(i, i + WAVE_SIZE))
}
shell(`mkdir -p "${sessionDir}/artifacts/solutions"`)
// 处理第一个 wave后续 wave 通过 send_input 触发)
const currentWave = waves[0]
const remainingWaves = waves.slice(1)
const remainingIssues = remainingWaves.flat()
for (let i = 0; i < issueIds.length; i++) {
const issueId = issueIds[i]
remainingIssues.shift()
// ── Solution Planning ──
// 调用 issue-plan-agent 为当前 wave 的 issues 生成 solutions
const planAgent = spawn_agent({
message: `
// --- Step 3a: Spawn issue-plan-agent for single issue ---
const planAgent = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
@@ -97,89 +96,112 @@ const planAgent = spawn_agent({
---
issue_ids: ${JSON.stringify(currentWave)}
project_root: "${shell('pwd').trim()}"
issue_ids: ["${issueId}"]
project_root: "${projectRoot}"
## Requirements
- Generate solutions for each issue
- Auto-bind single solutions
- Generate solution for this issue
- Auto-bind single solution
- For multiple solutions, select the most pragmatic one
`
})
const planResult = wait({ ids: [planAgent], timeout_ms: 600000 })
close_agent({ id: planAgent })
})
const planResult = wait({ ids: [planAgent], timeout_ms: 600000 })
// ── Queue Formation ──
// 调用 issue-queue-agent 形成执行队列
const queueAgent = spawn_agent({
message: `
## TASK ASSIGNMENT
if (planResult.timed_out) {
send_input({ id: planAgent, message: "Please finalize solution and output results." })
wait({ ids: [planAgent], timeout_ms: 120000 })
}
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/issue-queue-agent.md (MUST read first)
close_agent({ id: planAgent })
---
// --- Step 3b: Load solution + write artifact file ---
const solJson = shell(`ccw issue solution ${issueId} --json`)
const solution = JSON.parse(solJson)
issue_ids: ${JSON.stringify(currentWave)}
project_root: "${shell('pwd').trim()}"
const solutionFile = `${sessionDir}/artifacts/solutions/${issueId}.json`
write_file(solutionFile, JSON.stringify({
issue_id: issueId,
...solution,
timestamp: new Date().toISOString()
}, null, 2))
## Requirements
- Order solutions by dependency (DAG)
- Detect conflicts between solutions
- Output execution queue
`
})
const queueResult = wait({ ids: [queueAgent], timeout_ms: 300000 })
close_agent({ id: queueAgent })
// --- Step 3c: Inline conflict check ---
const dependsOn = inlineConflictCheck(issueId, solution, dispatchedSolutions)
// 读取生成的 queue 文件
const queuePath = '.workflow/issues/queue/execution-queue.json'
const queue = JSON.parse(readFile(queuePath))
// --- Step 3d: Track + output per-issue JSON ---
dispatchedSolutions.push({ issueId, solution, solutionFile })
const isLast = remainingIssues.length === 0
// Output per-issue JSON for orchestrator
console.log(JSON.stringify({
status: isLast ? "all_planned" : "issue_ready",
issue_id: issueId,
solution_id: solution.bound?.id || 'N/A',
title: solution.bound?.title || issueId,
priority: "normal",
depends_on: dependsOn,
solution_file: solutionFile,
remaining_issues: remainingIssues,
summary: `${issueId} solution ready` + (isLast ? ` (all ${issueIds.length} issues planned)` : '')
}, null, 2))
// Wait for orchestrator send_input before continuing
// (orchestrator will send: "Issue dispatched. Continue.")
}
```
### Step 4: Output Delivery
输出严格遵循编排器要求的 JSON 格式。
输出格式(每个 issue 独立输出):
```json
{
"wave": 1,
"status": "wave_ready",
"issues": ["ISS-xxx", "ISS-yyy"],
"queue": [
{
"issue_id": "ISS-xxx",
"solution_id": "SOL-xxx",
"title": "实现功能A",
"priority": "normal",
"depends_on": []
},
{
"issue_id": "ISS-yyy",
"solution_id": "SOL-yyy",
"title": "实现功能B",
"priority": "normal",
"depends_on": ["ISS-xxx"]
}
],
"remaining_issues": ["ISS-zzz"],
"summary": "Wave 1 规划完成: 2 个 issues, 按依赖排序"
"status": "issue_ready",
"issue_id": "ISS-xxx",
"solution_id": "SOL-xxx",
"title": "实现功能A",
"priority": "normal",
"depends_on": [],
"solution_file": ".workflow/.team/PEX-xxx/artifacts/solutions/ISS-xxx.json",
"remaining_issues": ["ISS-yyy", "ISS-zzz"],
"summary": "ISS-xxx solution ready"
}
```
**status 取值**:
- `"wave_ready"` — 本波次完成,还有后续波次
- `"all_planned"` — 所有 issues 已规划完毕(包含最后一个波次的 queue
- `"issue_ready"` — 本 issue 完成,还有后续 issues
- `"all_planned"` — 所有 issues 已规划完毕(最后一个 issue 的输出
### Multi-Round: 处理后续 Wave
## Inline Conflict Check
编排器会通过 `send_input` 触发后续波次规划。收到 send_input 后:
```javascript
function inlineConflictCheck(issueId, solution, dispatchedSolutions) {
const currentFiles = solution.bound?.files_touched
|| solution.bound?.affected_files || []
const blockedBy = []
1. 解析 `remaining_issues` 列表
2. 取下一批(最多 WAVE_SIZE 个)
3. 重复 Step 3 的 solution planning + queue formation
4. 输出下一个 wave 的 JSON
5. 如果没有剩余 issues`status` 设为 `"all_planned"`
// 1. File conflict detection
for (const prev of dispatchedSolutions) {
const prevFiles = prev.solution.bound?.files_touched
|| prev.solution.bound?.affected_files || []
const overlap = currentFiles.filter(f => prevFiles.includes(f))
if (overlap.length > 0) {
blockedBy.push(prev.issueId)
}
}
// 2. Explicit dependencies
const explicitDeps = solution.bound?.dependencies?.on_issues || []
for (const depId of explicitDeps) {
if (!blockedBy.includes(depId)) {
blockedBy.push(depId)
}
}
return blockedBy
}
```
## Plan File Parsing
@@ -219,11 +241,11 @@ function parsePlanPhases(planContent) {
### MUST
- 仅执行规划相关工作需求分析、issue 创建、方案设计、队列编排
- 仅执行规划相关工作需求分析、issue 创建、方案设计、冲突检查
- 输出严格遵循 JSON 格式
- 每波最多 5 个 issues
- 按依赖关系排序队列
- 复用已有 issue-plan-agent 和 issue-queue-agent
- 按依赖关系标记 depends_on
- 将 solution 写入中间产物文件
- 每个 issue 完成后立即输出 JSON
### MUST NOT
@@ -237,17 +259,19 @@ function parsePlanPhases(planContent) {
**ALWAYS**:
- Read role definition file as FIRST action
- Output strictly formatted JSON for each wave
- Output strictly formatted JSON for each issue
- Include `remaining_issues` for orchestrator to track progress
- Set correct `status` (`wave_ready` vs `all_planned`)
- Set correct `status` (`issue_ready` vs `all_planned`)
- Write solution artifact file before outputting JSON
- Include `solution_file` path in output
- Use `ccw issue new --json` for issue creation
- Clean up spawned sub-agents (issue-plan-agent, issue-queue-agent)
- Clean up spawned sub-agents (issue-plan-agent)
**NEVER**:
- Implement code (executor's job)
- Output free-form text instead of structured JSON
- Skip solution planning (every issue needs a bound solution)
- Hold more than 5 issues in a single wave
- Skip writing solution artifact file
## Error Handling
@@ -255,7 +279,8 @@ function parsePlanPhases(planContent) {
|----------|--------|
| Issue creation fails | Retry once with simplified text, skip if still fails |
| issue-plan-agent timeout | Retry once, output partial results |
| issue-queue-agent timeout | Output queue without dependency ordering |
| Inline conflict check failure | Use empty depends_on, continue |
| Solution artifact write failure | Report error in JSON output, continue |
| Plan file not found | Report in output JSON: `"error": "plan file not found"` |
| Empty input | Output: `"status": "all_planned", "queue": [], "error": "no input"` |
| Empty input | Output: `"status": "all_planned", "error": "no input"` |
| Sub-agent parse failure | Use raw output, include in summary |

View File

@@ -1,13 +1,13 @@
---
name: team-planex
description: 2-member plan-and-execute pipeline with Wave Pipeline for concurrent planning and execution. Planner decomposes requirements into issues, generates solutions, forms execution queues. Executor implements solutions via configurable backends (agent/codex/gemini). Triggers on "team planex".
description: 2-member plan-and-execute pipeline with per-issue beat pipeline for concurrent planning and execution. Planner decomposes requirements into issues, generates solutions, writes artifacts. Executor implements solutions via configurable backends (agent/codex/gemini). Triggers on "team planex".
allowed-tools: spawn_agent, wait, send_input, close_agent, AskUserQuestion, Read, Write, Edit, Bash, Glob, Grep
argument-hint: "<issue-ids|--text 'description'|--plan path> [--exec=agent|codex|gemini|auto] [-y]"
---
# Team PlanEx
2 成员边规划边执行团队。通过 Wave Pipeline波次流水线实现 planner 和 executor 并行工作planner 完成一个 wave 的 queue 后orchestrator 立即 spawn executor agent 处理该 wave同时 send_input 让 planner 继续下一 wave。
2 成员边规划边执行团队。通过逐 Issue 节拍流水线实现 planner 和 executor 并行工作planner 完成一个 issue 的 solution 后输出 ISSUE_READY 信号orchestrator 立即 spawn executor agent 处理该 issue同时 send_input 让 planner 继续下一 issue。
## Architecture Overview
@@ -16,7 +16,7 @@ argument-hint: "<issue-ids|--text 'description'|--plan path> [--exec=agent|codex
│ Orchestrator (this file) │
│ → Parse input → Spawn planner → Spawn exec │
└────────────────┬─────────────────────────────┘
Wave Pipeline
Per-Issue Beat Pipeline
┌───────┴───────┐
↓ ↓
┌─────────┐ ┌──────────┐
@@ -25,17 +25,16 @@ argument-hint: "<issue-ids|--text 'description'|--plan path> [--exec=agent|codex
└─────────┘ └──────────┘
│ │
issue-plan-agent code-developer
issue-queue-agent (or codex/gemini CLI)
(or codex/gemini CLI)
```
## Agent Registry
| Agent | Role File | Responsibility | New/Existing |
|-------|-----------|----------------|--------------|
| `planex-planner` | `.codex/skills/team-planex/agents/planex-planner.md` | 需求拆解 → issue 创建 → 方案设计 → 队列编排 | New (skill-specific) |
| `planex-planner` | `.codex/skills/team-planex/agents/planex-planner.md` | 需求拆解 → issue 创建 → 方案设计 → 冲突检查 → 逐 issue 派发 | New (skill-specific) |
| `planex-executor` | `.codex/skills/team-planex/agents/planex-executor.md` | 加载 solution → 代码实现 → 测试 → 提交 | New (skill-specific) |
| `issue-plan-agent` | `~/.codex/agents/issue-plan-agent.md` | ACE exploration + solution generation + binding | Existing |
| `issue-queue-agent` | `~/.codex/agents/issue-queue-agent.md` | Solution ordering + conflict detection | Existing |
| `code-developer` | `~/.codex/agents/code-developer.md` | Code implementation (agent backend) | Existing |
## Input Types
@@ -86,11 +85,18 @@ if (explicitExec) {
// Interactive: ask user for preferences
// (orchestrator handles user interaction directly)
}
// Initialize session directory for artifacts
const slug = (issueIds[0] || 'batch').replace(/[^a-zA-Z0-9-]/g, '')
const dateStr = new Date().toISOString().slice(0,10).replace(/-/g,'')
const sessionId = `PEX-${slug}-${dateStr}`
const sessionDir = `.workflow/.team/${sessionId}`
shell(`mkdir -p "${sessionDir}/artifacts/solutions"`)
```
### Phase 2: Planning (Planner Agent — Deep Interaction)
### Phase 2: Planning (Planner Agent — Per-Issue Beat)
Spawn planner agent for wave-based planning. Uses send_input for multi-wave progression.
Spawn planner agent for per-issue planning. Uses send_input for issue-by-issue progression.
```javascript
// Build planner input context
@@ -110,7 +116,7 @@ const planner = spawn_agent({
---
Goal: Decompose requirements into waves of executable solutions
Goal: Decompose requirements into executable solutions (per-issue beat)
## Input
${plannerInput}
@@ -119,61 +125,64 @@ ${plannerInput}
execution_method: ${executionConfig.executionMethod}
code_review: ${executionConfig.codeReviewTool}
## Session Dir
session_dir: ${sessionDir}
## Deliverables
For EACH wave, output structured wave data:
For EACH issue, output structured data:
\`\`\`
WAVE_READY:
wave_number: N
issue_ids: [ISS-xxx, ...]
queue_path: .workflow/issues/queue/execution-queue.json
exec_tasks: [
{ issue_id: "ISS-xxx", solution_id: "SOL-xxx", title: "...", priority: "normal", depends_on: [] },
...
]
ISSUE_READY:
{
"issue_id": "ISS-xxx",
"solution_id": "SOL-xxx",
"title": "...",
"priority": "normal",
"depends_on": [],
"solution_file": "${sessionDir}/artifacts/solutions/ISS-xxx.json"
}
\`\`\`
After ALL waves planned, output:
After ALL issues planned, output:
\`\`\`
ALL_PLANNED:
total_waves: N
total_issues: N
{ "total_issues": N }
\`\`\`
## Quality bar
- Every issue has a bound solution
- Queue respects dependency DAG
- Wave boundaries are logical groupings
- Solution artifact written to file before output
- Inline conflict check determines depends_on
`
})
// Wait for Wave 1
const wave1 = wait({ ids: [planner], timeout_ms: 600000 })
// Wait for first ISSUE_READY
const firstIssue = wait({ ids: [planner], timeout_ms: 600000 })
if (wave1.timed_out) {
send_input({ id: planner, message: "Please finalize current wave and output WAVE_READY." })
if (firstIssue.timed_out) {
send_input({ id: planner, message: "Please finalize current issue and output ISSUE_READY." })
const retry = wait({ ids: [planner], timeout_ms: 120000 })
}
// Parse wave data from planner output
const wave1Data = parseWaveReady(wave1.status[planner].completed)
// Parse first issue data
const firstIssueData = parseIssueReady(firstIssue.status[planner].completed)
```
### Phase 3: Wave Pipeline (Planning + Execution Interleaved)
### Phase 3: Per-Issue Beat Pipeline (Planning + Execution Interleaved)
Pipeline: spawn executor for current wave while planner continues next wave.
Pipeline: spawn executor for current issue while planner continues next issue.
```javascript
const allAgentIds = [planner]
const executorAgents = []
let waveNum = 1
let allPlanned = false
let currentIssueOutput = firstIssue.status[planner].completed
while (!allPlanned) {
// --- Spawn executor for current wave ---
const waveData = parseWaveReady(currentWaveOutput)
// --- Spawn executor for current issue ---
const issueData = parseIssueReady(currentIssueOutput)
if (waveData && waveData.exec_tasks.length > 0) {
if (issueData) {
const executor = spawn_agent({
message: `
## TASK ASSIGNMENT
@@ -185,75 +194,82 @@ while (!allPlanned) {
---
Goal: Implement all solutions in Wave ${waveNum}
Goal: Implement solution for ${issueData.issue_id}
## Wave ${waveNum} Tasks
${JSON.stringify(waveData.exec_tasks, null, 2)}
## Task
${JSON.stringify([issueData], null, 2)}
## Execution Config
execution_method: ${executionConfig.executionMethod}
code_review: ${executionConfig.codeReviewTool}
## Solution File
solution_file: ${issueData.solution_file}
## Session Dir
session_dir: ${sessionDir}
## Deliverables
For each task, output:
\`\`\`
IMPL_COMPLETE:
issue_id: ISS-xxx
issue_id: ${issueData.issue_id}
status: success|failed
test_result: pass|fail
commit: <hash or N/A>
\`\`\`
After all wave tasks done:
\`\`\`
WAVE_DONE:
wave_number: ${waveNum}
completed: N
failed: N
\`\`\`
## Quality bar
- All existing tests pass after each implementation
- All existing tests pass after implementation
- Code follows project conventions
- One commit per solution
`
})
allAgentIds.push(executor)
executorAgents.push({ id: executor, wave: waveNum })
executorAgents.push({ id: executor, issueId: issueData.issue_id })
}
// --- Tell planner to continue next wave ---
if (!allPlanned) {
send_input({ id: planner, message: `Wave ${waveNum} dispatched to executor. Continue to Wave ${waveNum + 1}.` })
// --- Check if ALL_PLANNED was in this output ---
if (currentIssueOutput.includes("ALL_PLANNED")) {
allPlanned = true
break
}
// Wait for both: planner (next wave) + current executor
const activeIds = [planner]
if (executorAgents.length > 0) {
activeIds.push(executorAgents[executorAgents.length - 1].id)
}
const results = wait({ ids: activeIds, timeout_ms: 600000 })
// Check planner output
const plannerOutput = results.status[planner]?.completed || ""
if (plannerOutput.includes("ALL_PLANNED")) {
allPlanned = true
} else if (plannerOutput.includes("WAVE_READY")) {
waveNum++
currentWaveOutput = plannerOutput
// --- Tell planner to continue next issue ---
send_input({ id: planner, message: `Issue ${issueData?.issue_id || 'unknown'} dispatched. Continue to next issue.` })
// Wait for planner (next issue)
const plannerResult = wait({ ids: [planner], timeout_ms: 600000 })
if (plannerResult.timed_out) {
send_input({ id: planner, message: "Please finalize current issue and output results." })
const retry = wait({ ids: [planner], timeout_ms: 120000 })
currentIssueOutput = retry.status?.[planner]?.completed || ""
} else {
currentIssueOutput = plannerResult.status[planner]?.completed || ""
}
// Check for ALL_PLANNED
if (currentIssueOutput.includes("ALL_PLANNED")) {
// May contain a final ISSUE_READY before ALL_PLANNED
const finalIssue = parseIssueReady(currentIssueOutput)
if (finalIssue) {
// Spawn one more executor for the last issue
const lastExec = spawn_agent({
message: `... same executor spawn as above for ${finalIssue.issue_id} ...`
})
allAgentIds.push(lastExec)
executorAgents.push({ id: lastExec, issueId: finalIssue.issue_id })
}
allPlanned = true
}
}
// Wait for remaining executor agents
const pendingExecutors = executorAgents
.map(e => e.id)
.filter(id => !completedIds.includes(id))
// Wait for all remaining executor agents
const pendingExecutors = executorAgents.map(e => e.id)
if (pendingExecutors.length > 0) {
const finalResults = wait({ ids: pendingExecutors, timeout_ms: 900000 })
// Handle timeout
if (finalResults.timed_out) {
const pending = pendingExecutors.filter(id => !finalResults.status[id]?.completed)
pending.forEach(id => {
@@ -269,21 +285,21 @@ if (pendingExecutors.length > 0) {
```javascript
// Collect results from all executors
const pipelineResults = {
waves: [],
issues: [],
totalCompleted: 0,
totalFailed: 0
}
executorAgents.forEach(({ id, wave }) => {
executorAgents.forEach(({ id, issueId }) => {
const output = results.status[id]?.completed || ""
const waveDone = parseWaveDone(output)
pipelineResults.waves.push({
wave,
completed: waveDone?.completed || 0,
failed: waveDone?.failed || 0
const implResult = parseImplComplete(output)
pipelineResults.issues.push({
issueId,
status: implResult?.status || 'unknown',
commit: implResult?.commit || 'N/A'
})
pipelineResults.totalCompleted += waveDone?.completed || 0
pipelineResults.totalFailed += waveDone?.failed || 0
if (implResult?.status === 'success') pipelineResults.totalCompleted++
else pipelineResults.totalFailed++
})
// Output final summary
@@ -291,13 +307,13 @@ console.log(`
## PlanEx Pipeline Complete
### Summary
- Total Waves: ${waveNum}
- Total Completed: ${pipelineResults.totalCompleted}
- Total Failed: ${pipelineResults.totalFailed}
- Total Issues: ${executorAgents.length}
- Completed: ${pipelineResults.totalCompleted}
- Failed: ${pipelineResults.totalFailed}
### Wave Details
${pipelineResults.waves.map(w =>
`- Wave ${w.wave}: ${w.completed} completed, ${w.failed} failed`
### Issue Details
${pipelineResults.issues.map(i =>
`- ${i.issueId}: ${i.status} (commit: ${i.commit})`
).join('\n')}
`)
@@ -315,27 +331,26 @@ Since Codex agents have isolated contexts, use file-based coordination:
| File | Purpose | Writer | Reader |
|------|---------|--------|--------|
| `.workflow/.team/PEX-{slug}-{date}/wave-{N}.json` | Wave plan data | planner | orchestrator |
| `.workflow/.team/PEX-{slug}-{date}/exec-{issueId}.json` | Execution result | executor | orchestrator |
| `.workflow/.team/PEX-{slug}-{date}/pipeline-log.ndjson` | Event log | both | orchestrator |
| `.workflow/issues/queue/execution-queue.json` | Execution queue | planner (via issue-queue-agent) | executor |
| `{sessionDir}/artifacts/solutions/{issueId}.json` | Solution artifact | planner | executor |
| `{sessionDir}/exec-{issueId}.json` | Execution result | executor | orchestrator |
| `{sessionDir}/pipeline-log.ndjson` | Event log | both | orchestrator |
### Wave Data Format
### Solution Artifact Format
```json
{
"wave_number": 1,
"issue_ids": ["ISS-20260215-001", "ISS-20260215-002"],
"queue_path": ".workflow/issues/queue/execution-queue.json",
"exec_tasks": [
{
"issue_id": "ISS-20260215-001",
"solution_id": "SOL-001",
"title": "Implement auth module",
"priority": "high",
"depends_on": []
}
]
"issue_id": "ISS-20260215-001",
"bound": {
"id": "SOL-001",
"title": "Implement auth module",
"tasks": [...],
"files_touched": ["src/auth/login.ts"]
},
"execution_config": {
"execution_method": "Agent",
"code_review": "Skip"
},
"timestamp": "2026-02-15T10:00:00Z"
}
```
@@ -358,7 +373,7 @@ Since Codex agents have isolated contexts, use file-based coordination:
| Timeout Scenario | Action |
|-----------------|--------|
| Planner wave timeout | send_input to urge convergence, retry wait |
| Planner issue timeout | send_input to urge convergence, retry wait |
| Executor impl timeout | send_input to finalize, record partial result |
| All agents timeout | Log error, abort with partial state |
@@ -380,28 +395,27 @@ allAgentIds.forEach(id => {
| Scenario | Resolution |
|----------|------------|
| Planner wave failure | Retry once via send_input, then abort pipeline |
| Executor impl failure | Record failure, continue with next wave tasks |
| Planner issue failure | Retry once via send_input, then skip issue |
| Executor impl failure | Record failure, continue with next issue |
| No issues created from text | Report to user, abort |
| Solution generation failure | Skip issue, continue with remaining |
| Queue formation failure | Create exec tasks without DAG ordering |
| Inline conflict check failure | Use empty depends_on, continue |
| Pipeline stall (no progress) | Timeout handling → urge convergence → abort |
| Missing role file | Log error, use inline fallback instructions |
## Helper Functions
```javascript
function parseWaveReady(output) {
const match = output.match(/WAVE_READY:\s*\n([\s\S]*?)(?=\n```|$)/)
function parseIssueReady(output) {
const match = output.match(/ISSUE_READY:\s*\n([\s\S]*?)(?=\n```|$)/)
if (!match) return null
// Parse structured wave data
return JSON.parse(match[1])
try { return JSON.parse(match[1]) } catch { return null }
}
function parseWaveDone(output) {
const match = output.match(/WAVE_DONE:\s*\n([\s\S]*?)(?=\n```|$)/)
function parseImplComplete(output) {
const match = output.match(/IMPL_COMPLETE:\s*\n([\s\S]*?)(?=\n```|$)/)
if (!match) return null
return JSON.parse(match[1])
try { return JSON.parse(match[1]) } catch { return null }
}
function resolveExecutor(method, taskCount) {

View File

@@ -1,20 +1,20 @@
---
name: planex-executor
description: |
Execution agent for PlanEx pipeline. Loads solutions, routes to
configurable backends (agent/codex/gemini CLI), runs tests, commits.
Processes all tasks within a single wave assignment.
Execution agent for PlanEx pipeline. Loads solutions from artifact files
(with CLI fallback), routes to configurable backends (agent/codex/gemini CLI),
runs tests, commits. Processes all tasks within a single assignment.
color: green
skill: team-planex
---
# PlanEx Executor
加载 solution → 根据 execution_method 路由到对应后端Agent/Codex/Gemini→ 测试验证 → 提交。每次被 spawn 时处理一个 wave 的所有 exec tasks按依赖顺序执行。
从中间产物文件加载 solution(兼容 CLI fallback→ 根据 execution_method 路由到对应后端Agent/Codex/Gemini→ 测试验证 → 提交。每次被 spawn 时处理分配的 exec tasks按依赖顺序执行。
## Core Capabilities
1. **Solution Loading**: 从 issue system 加载 bound solution plan
1. **Solution Loading**: 从中间产物文件加载 bound solution plan(兼容 CLI fallback
2. **Multi-Backend Routing**: 根据 execution_method 选择 agent/codex/gemini 后端
3. **Test Verification**: 实现后运行测试验证
4. **Commit Management**: 每个 solution 完成后 git commit
@@ -209,9 +209,22 @@ for (const task of sorted) {
const issueId = task.issue_id
const taskStartTime = Date.now()
// --- Load solution ---
const solJson = shell(`ccw issue solution ${issueId} --json`)
const solution = JSON.parse(solJson)
// --- Load solution (dual-mode: artifact file first, CLI fallback) ---
let solution
const solutionFile = task.solution_file
if (solutionFile) {
try {
const solutionData = JSON.parse(read_file(solutionFile))
solution = solutionData.bound ? solutionData : { bound: solutionData }
} catch {
// Fallback to CLI
const solJson = shell(`ccw issue solution ${issueId} --json`)
solution = JSON.parse(solJson)
}
} else {
const solJson = shell(`ccw issue solution ${issueId} --json`)
solution = JSON.parse(solJson)
}
if (!solution.bound) {
recordTaskStart(issueId, task.title, 'N/A', '')

View File

@@ -2,22 +2,23 @@
name: planex-planner
description: |
Planning lead for PlanEx pipeline. Decomposes requirements into issues,
generates solutions via issue-plan-agent, forms execution queues via
issue-queue-agent, outputs wave-structured data for orchestrator dispatch.
generates solutions via issue-plan-agent, performs inline conflict check,
writes solution artifacts. Per-issue output for orchestrator dispatch.
color: blue
skill: team-planex
---
# PlanEx Planner
需求拆解 → issue 创建 → 方案设计 → 队列编排 → 输出 wave 数据。内部 spawn issue-plan-agent 和 issue-queue-agent 子代理,通过 Wave Pipeline 持续推进。每完成一个 wave 立即输出 WAVE_READY等待 orchestrator send_input 继续下一 wave。
需求拆解 → issue 创建 → 方案设计 → inline 冲突检查 → 写中间产物 → 逐 issue 输出。内部 spawn issue-plan-agent 子代理,每完成一个 issue 的 solution 立即输出 ISSUE_READY等待 orchestrator send_input 继续下一 issue。
## Core Capabilities
1. **Requirement Decomposition**: 将需求文本/plan 文件拆解为独立 issues
2. **Solution Planning**: 通过 issue-plan-agent 为每个 issue 生成 solution
3. **Queue Formation**: 通过 issue-queue-agent 排序 solutions 并检测冲突
4. **Wave Output**: 每个 wave 完成后输出结构化 WAVE_READY 数据
3. **Inline Conflict Check**: 基于 files_touched 重叠检测 + 显式依赖排序
4. **Solution Artifacts**: 将 solution 写入中间产物文件供 executor 加载
5. **Per-Issue Output**: 每个 issue 完成后立即输出 ISSUE_READY 数据
## Execution Process
@@ -32,7 +33,8 @@ skill: team-planex
- **Goal**: What to achieve
- **Input**: Issue IDs / text / plan file
- **Execution Config**: execution_method + code_review settings
- **Deliverables**: WAVE_READY + ALL_PLANNED structured output
- **Session Dir**: Path for writing solution artifacts
- **Deliverables**: ISSUE_READY + ALL_PLANNED structured output
### Step 2: Input Parsing & Issue Creation
@@ -40,6 +42,8 @@ Parse the input from TASK ASSIGNMENT and create issues as needed.
```javascript
const input = taskAssignment.input
const sessionDir = taskAssignment.session_dir
const executionConfig = taskAssignment.execution_config
// 1) 已有 Issue IDs
const issueIds = input.match(/ISS-\d{8}-\d{6}/g) || []
@@ -47,7 +51,6 @@ const issueIds = input.match(/ISS-\d{8}-\d{6}/g) || []
// 2) 文本输入 → 创建 issue
const textMatch = input.match(/text:\s*(.+)/)
if (textMatch && issueIds.length === 0) {
// Use ccw issue create CLI to create issue from text
const result = shell(`ccw issue create --data '{"title":"${textMatch[1]}","description":"${textMatch[1]}"}' --json`)
const newIssue = JSON.parse(result)
issueIds.push(newIssue.id)
@@ -58,11 +61,10 @@ const planMatch = input.match(/plan_file:\s*(\S+)/)
if (planMatch && issueIds.length === 0) {
const planContent = read_file(planMatch[1])
// Check if execution-plan.json from req-plan-with-file
try {
const content = JSON.parse(planContent)
if (content.waves && content.issue_ids) {
// execution-plan format: use wave structure directly
// execution-plan format: use issue_ids directly
executionPlan = content
issueIds = content.issue_ids
}
@@ -77,30 +79,20 @@ if (planMatch && issueIds.length === 0) {
}
```
### Step 3: Wave-Based Solution Planning
### Step 3: Per-Issue Solution Planning & Artifact Writing
Group issues into waves, spawn sub-agents for each wave.
Process each issue individually: plan → write artifact → conflict check → output ISSUE_READY.
```javascript
const projectRoot = shell('cd . && pwd').trim()
const dispatchedSolutions = []
// Group into waves (max 5 per wave, or use execution-plan wave structure)
const WAVE_SIZE = 5
let waves
if (executionPlan) {
waves = executionPlan.waves.map(w => w.issue_ids)
} else {
waves = []
for (let i = 0; i < issueIds.length; i += WAVE_SIZE) {
waves.push(issueIds.slice(i, i + WAVE_SIZE))
}
}
shell(`mkdir -p "${sessionDir}/artifacts/solutions"`)
let waveNum = 0
for (const waveIssues of waves) {
waveNum++
for (let i = 0; i < issueIds.length; i++) {
const issueId = issueIds[i]
// --- Step 3a: Spawn issue-plan-agent for solutions ---
// --- Step 3a: Spawn issue-plan-agent for single issue ---
const planAgent = spawn_agent({
message: `
## TASK ASSIGNMENT
@@ -112,116 +104,121 @@ for (const waveIssues of waves) {
---
Goal: Generate solutions for Wave ${waveNum} issues
Goal: Generate solution for issue ${issueId}
issue_ids: ${JSON.stringify(waveIssues)}
issue_ids: ["${issueId}"]
project_root: "${projectRoot}"
## Requirements
- Generate solutions for each issue
- Auto-bind single solutions
- Generate solution for this issue
- Auto-bind single solution
- For multiple solutions, select the most pragmatic one
## Deliverables
Structured output with solution bindings per issue.
Structured output with solution binding.
`
})
const planResult = wait({ ids: [planAgent], timeout_ms: 600000 })
if (planResult.timed_out) {
send_input({ id: planAgent, message: "Please finalize solutions and output current results." })
send_input({ id: planAgent, message: "Please finalize solution and output results." })
wait({ ids: [planAgent], timeout_ms: 120000 })
}
close_agent({ id: planAgent })
// --- Step 3b: Spawn issue-queue-agent for ordering ---
const queueAgent = spawn_agent({
message: `
## TASK ASSIGNMENT
// --- Step 3b: Load solution + write artifact file ---
const solJson = shell(`ccw issue solution ${issueId} --json`)
const solution = JSON.parse(solJson)
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/issue-queue-agent.md (MUST read first)
2. Read: .workflow/project-tech.json
const solutionFile = `${sessionDir}/artifacts/solutions/${issueId}.json`
write_file(solutionFile, JSON.stringify({
issue_id: issueId,
...solution,
execution_config: {
execution_method: executionConfig.executionMethod,
code_review: executionConfig.codeReviewTool
},
timestamp: new Date().toISOString()
}, null, 2))
---
// --- Step 3c: Inline conflict check ---
const blockedBy = inlineConflictCheck(issueId, solution, dispatchedSolutions)
Goal: Form execution queue for Wave ${waveNum}
// --- Step 3d: Output ISSUE_READY for orchestrator ---
dispatchedSolutions.push({ issueId, solution, solutionFile })
issue_ids: ${JSON.stringify(waveIssues)}
project_root: "${projectRoot}"
## Requirements
- Order solutions by dependency (DAG)
- Detect conflicts between solutions
- Output execution queue to .workflow/issues/queue/execution-queue.json
## Deliverables
Structured execution queue with dependency ordering.
`
})
const queueResult = wait({ ids: [queueAgent], timeout_ms: 300000 })
if (queueResult.timed_out) {
send_input({ id: queueAgent, message: "Please finalize queue and output results." })
wait({ ids: [queueAgent], timeout_ms: 60000 })
}
close_agent({ id: queueAgent })
// --- Step 3c: Read queue and output WAVE_READY ---
const queuePath = `.workflow/issues/queue/execution-queue.json`
const queue = JSON.parse(read_file(queuePath))
const execTasks = queue.queue.map(entry => ({
issue_id: entry.issue_id,
solution_id: entry.solution_id,
title: entry.title || entry.issue_id,
priority: entry.priority || "normal",
depends_on: entry.depends_on || []
}))
// Output structured wave data for orchestrator
console.log(`
WAVE_READY:
ISSUE_READY:
${JSON.stringify({
wave_number: waveNum,
issue_ids: waveIssues,
queue_path: queuePath,
exec_tasks: execTasks
}, null, 2)}
issue_id: issueId,
solution_id: solution.bound?.id || 'N/A',
title: solution.bound?.title || issueId,
priority: "normal",
depends_on: blockedBy,
solution_file: solutionFile
}, null, 2)}
`)
// Wait for orchestrator send_input before continuing to next wave
// (orchestrator will send: "Wave N dispatched. Continue to Wave N+1.")
// Wait for orchestrator send_input before continuing to next issue
// (orchestrator will send: "Issue dispatched. Continue to next issue.")
}
```
### Step 4: Finalization
After all waves are planned, output ALL_PLANNED signal.
After all issues are planned, output ALL_PLANNED signal.
```javascript
console.log(`
ALL_PLANNED:
${JSON.stringify({
total_waves: waveNum,
total_issues: issueIds.length
}, null, 2)}
`)
```
## Inline Conflict Check
```javascript
function inlineConflictCheck(issueId, solution, dispatchedSolutions) {
const currentFiles = solution.bound?.files_touched
|| solution.bound?.affected_files || []
const blockedBy = []
// 1. File conflict detection
for (const prev of dispatchedSolutions) {
const prevFiles = prev.solution.bound?.files_touched
|| prev.solution.bound?.affected_files || []
const overlap = currentFiles.filter(f => prevFiles.includes(f))
if (overlap.length > 0) {
blockedBy.push(prev.issueId)
}
}
// 2. Explicit dependencies
const explicitDeps = solution.bound?.dependencies?.on_issues || []
for (const depId of explicitDeps) {
if (!blockedBy.includes(depId)) {
blockedBy.push(depId)
}
}
return blockedBy
}
```
## Role Boundaries
### MUST
- 仅执行规划和拆解工作
- 每个 wave 完成后输出 WAVE_READY 结构化数据
- 所有 wave 完成后输出 ALL_PLANNED
- 通过 spawn_agent 调用 issue-plan-agent issue-queue-agent
- 等待 orchestrator send_input 才继续下一 wave
- 每个 issue 完成后输出 ISSUE_READY 结构化数据
- 所有 issues 完成后输出 ALL_PLANNED
- 通过 spawn_agent 调用 issue-plan-agent(逐个 issue
- 等待 orchestrator send_input 才继续下一 issue
- 将 solution 写入中间产物文件
### MUST NOT
@@ -267,16 +264,17 @@ function parsePlanPhases(planContent) {
**ALWAYS**:
- Read role definition file as FIRST action (Step 1)
- Follow structured output template (WAVE_READY / ALL_PLANNED)
- Follow structured output template (ISSUE_READY / ALL_PLANNED)
- Stay within planning boundaries (no code implementation)
- Spawn issue-plan-agent and issue-queue-agent for each wave
- Include all issue IDs and solution references in wave data
- Spawn issue-plan-agent for each issue individually
- Write solution artifact file before outputting ISSUE_READY
- Include solution_file path in ISSUE_READY data
**NEVER**:
- Modify source code files
- Skip context loading (Step 1)
- Produce unstructured or free-form output
- Continue to next wave without outputting WAVE_READY
- Continue to next issue without outputting ISSUE_READY
- Close without outputting ALL_PLANNED
## Error Handling
@@ -285,7 +283,8 @@ function parsePlanPhases(planContent) {
|----------|--------|
| Issue creation failure | Retry once with simplified text, report in output |
| issue-plan-agent timeout | Urge convergence via send_input, close and report partial |
| issue-queue-agent failure | Create exec tasks without DAG ordering |
| Inline conflict check failure | Use empty depends_on, continue |
| Solution artifact write failure | Report error, continue with ISSUE_READY output |
| Plan file not found | Report error in output with CLARIFICATION_NEEDED |
| Empty input (no issues, no text) | Output CLARIFICATION_NEEDED asking for requirements |
| Sub-agent produces invalid output | Report error, continue with available data |

View File

@@ -129,7 +129,9 @@ export function CliConfigModal({
const toolConfig = cliTools[tool];
if (!toolConfig) return [];
if (toolConfig.availableModels?.length) return toolConfig.availableModels;
const models = [toolConfig.primaryModel];
// Build models from primaryModel/secondaryModel, filtering out undefined
const models: string[] = [];
if (toolConfig.primaryModel) models.push(toolConfig.primaryModel);
if (toolConfig.secondaryModel && toolConfig.secondaryModel !== toolConfig.primaryModel) {
models.push(toolConfig.secondaryModel);
}

View File

@@ -16,11 +16,15 @@ import {
fetchCliToolStatus,
fetchCcwInstallations,
upgradeCcwInstallation,
exportSettings,
importSettings,
type ChineseResponseStatus,
type WindowsPlatformStatus,
type CodexCliEnhancementStatus,
type CcwInstallStatus,
type CcwInstallationManifest,
type ExportedSettings,
type ImportOptions,
} from '../lib/api';
// Query key factory
@@ -32,6 +36,7 @@ export const systemSettingsKeys = {
aggregatedStatus: () => [...systemSettingsKeys.all, 'aggregatedStatus'] as const,
cliToolStatus: () => [...systemSettingsKeys.all, 'cliToolStatus'] as const,
ccwInstallations: () => [...systemSettingsKeys.all, 'ccwInstallations'] as const,
exportSettings: () => [...systemSettingsKeys.all, 'exportSettings'] as const,
};
const STALE_TIME = 60 * 1000; // 1 minute
@@ -285,3 +290,39 @@ export function useUpgradeCcwInstallation() {
error: mutation.error,
};
}
// ========================================
// Settings Export/Import Hooks
// ========================================
export function useExportSettings() {
const mutation = useMutation({
mutationFn: exportSettings,
});
return {
exportSettings: mutation.mutateAsync,
isPending: mutation.isPending,
error: mutation.error,
};
}
export function useImportSettings() {
const queryClient = useQueryClient();
const mutation = useMutation({
mutationFn: ({ data, options }: { data: ExportedSettings; options?: ImportOptions }) =>
importSettings(data, options),
onSuccess: () => {
// Invalidate all system settings queries to refresh the UI
queryClient.invalidateQueries({ queryKey: systemSettingsKeys.all });
},
});
return {
importSettings: (data: ExportedSettings, options?: ImportOptions) =>
mutation.mutateAsync({ data, options }),
isPending: mutation.isPending,
error: mutation.error,
};
}

View File

@@ -6482,6 +6482,68 @@ export async function upgradeCcwInstallation(
});
}
// ========== CLI Settings Export/Import API ==========
/**
* Exported settings structure from backend
*/
export interface ExportedSettings {
version: string;
exportedAt: string;
settings: {
cliTools?: Record<string, unknown>;
chineseResponse?: {
claudeEnabled: boolean;
codexEnabled: boolean;
};
windowsPlatform?: {
enabled: boolean;
};
codexCliEnhancement?: {
enabled: boolean;
};
};
}
/**
* Import options for settings import
*/
export interface ImportOptions {
overwrite?: boolean;
dryRun?: boolean;
}
/**
* Import result from backend
*/
export interface ImportResult {
success: boolean;
imported: number;
skipped: number;
errors: string[];
importedIds: string[];
}
/**
* Export CLI settings to JSON file
*/
export async function exportSettings(): Promise<ExportedSettings> {
return fetchApi('/api/cli/settings/export');
}
/**
* Import CLI settings from JSON data
*/
export async function importSettings(
data: ExportedSettings,
options?: ImportOptions
): Promise<ImportResult> {
return fetchApi('/api/cli/settings/import', {
method: 'POST',
body: JSON.stringify({ data, options }),
});
}
// ========== CCW Tools API ==========
/**

View File

@@ -77,7 +77,19 @@
"refreshConfig": "Refresh Config",
"migrationWarning": "Old format detected, please disable and re-enable to migrate",
"enabled": "Enabled",
"disabled": "Disabled"
"disabled": "Disabled",
"export": "Export",
"import": "Import",
"exporting": "Exporting...",
"importing": "Importing...",
"exportImportHint": "Export or import CLI settings configuration",
"exportSuccess": "Settings exported successfully",
"exportError": "Failed to export settings",
"importSuccess": "Settings imported successfully ({imported} imported, {skipped} skipped)",
"importError": "Failed to import settings",
"importInvalidFile": "Please select a valid JSON file",
"importInvalidJson": "Invalid JSON format in file",
"importInvalidStructure": "Invalid settings file structure"
},
"systemStatus": {
"title": "CCW Installation",

View File

@@ -77,7 +77,19 @@
"refreshConfig": "刷新配置",
"migrationWarning": "检测到旧格式,请关闭后重新启用以迁移",
"enabled": "已启用",
"disabled": "已禁用"
"disabled": "已禁用",
"export": "导出",
"import": "导入",
"exporting": "导出中...",
"importing": "导入中...",
"exportImportHint": "导出或导入 CLI 设置配置",
"exportSuccess": "设置导出成功",
"exportError": "导出设置失败",
"importSuccess": "设置导入成功(已导入 {imported} 项,跳过 {skipped} 项)",
"importError": "导入设置失败",
"importInvalidFile": "请选择有效的 JSON 文件",
"importInvalidJson": "文件 JSON 格式无效",
"importInvalidStructure": "设置文件结构无效"
},
"systemStatus": {
"title": "CCW 安装",

View File

@@ -3,7 +3,7 @@
// ========================================
// Application settings and configuration with CLI tools management
import { useState, useCallback, useEffect } from 'react';
import { useState, useCallback, useEffect, useRef } from 'react';
import { useIntl } from 'react-intl';
import {
Settings,
@@ -30,6 +30,8 @@ import {
File,
ArrowUpCircle,
Save,
Download,
Upload,
} from 'lucide-react';
import { Card } from '@/components/ui/Card';
import { Button } from '@/components/ui/Button';
@@ -54,7 +56,10 @@ import {
useCliToolStatus,
useCcwInstallations,
useUpgradeCcwInstallation,
useExportSettings,
useImportSettings,
} from '@/hooks/useSystemSettings';
import type { ExportedSettings } from '@/lib/api';
import { RemoteNotificationSection } from '@/components/settings/RemoteNotificationSection';
import { A2UIPreferencesSection } from '@/components/settings/A2UIPreferencesSection';
@@ -520,6 +525,72 @@ function ResponseLanguageSection() {
const { data: cliEnhStatus, isLoading: cliEnhLoading } = useCodexCliEnhancementStatus();
const { toggle: toggleCliEnh, isPending: cliEnhToggling } = useToggleCodexCliEnhancement();
const { refresh: refreshCliEnh, isPending: refreshing } = useRefreshCodexCliEnhancement();
const { exportSettings: doExport, isPending: exporting } = useExportSettings();
const { importSettings: doImport, isPending: importing } = useImportSettings();
const fileInputRef = useRef<HTMLInputElement>(null);
const handleExport = useCallback(async () => {
try {
const data = await doExport();
const blob = new Blob([JSON.stringify(data, null, 2)], { type: 'application/json' });
const url = URL.createObjectURL(blob);
const a = document.createElement('a');
const timestamp = new Date().toISOString().replace(/[:.]/g, '-').slice(0, 19);
a.href = url;
a.download = `ccw-settings-${timestamp}.json`;
document.body.appendChild(a);
a.click();
document.body.removeChild(a);
URL.revokeObjectURL(url);
toast.success(formatMessage({ id: 'settings.responseLanguage.exportSuccess' }));
} catch (error) {
toast.error(formatMessage({ id: 'settings.responseLanguage.exportError' }));
}
}, [doExport, formatMessage]);
const handleFileImport = useCallback(async (e: React.ChangeEvent<HTMLInputElement>) => {
const file = e.target.files?.[0];
if (!file) return;
// Reset file input so the same file can be re-selected
e.target.value = '';
// Validate file type
if (!file.name.endsWith('.json') && file.type !== 'application/json') {
toast.error(formatMessage({ id: 'settings.responseLanguage.importInvalidFile' }));
return;
}
try {
const text = await file.text();
const data = JSON.parse(text) as ExportedSettings;
// Validate basic structure
if (!data.version || !data.settings) {
toast.error(formatMessage({ id: 'settings.responseLanguage.importInvalidStructure' }));
return;
}
const result = await doImport(data);
if (result.success) {
toast.success(
formatMessage(
{ id: 'settings.responseLanguage.importSuccess' },
{ imported: result.imported, skipped: result.skipped }
)
);
} else {
toast.error(formatMessage({ id: 'settings.responseLanguage.importError' }));
}
} catch (error) {
if (error instanceof SyntaxError) {
toast.error(formatMessage({ id: 'settings.responseLanguage.importInvalidJson' }));
} else {
toast.error(formatMessage({ id: 'settings.responseLanguage.importError' }));
}
}
}, [doImport, formatMessage]);
return (
<Card className="p-6">
@@ -542,9 +613,17 @@ function ResponseLanguageSection() {
disabled={chineseLoading || chineseToggling}
onClick={() => toggleChinese(!chineseStatus?.claudeEnabled, 'claude')}
>
{chineseStatus?.claudeEnabled
? formatMessage({ id: 'settings.responseLanguage.enabled' })
: formatMessage({ id: 'settings.responseLanguage.disabled' })}
{chineseStatus?.claudeEnabled ? (
<>
<Check className="w-4 h-4 mr-1" />
{formatMessage({ id: 'settings.responseLanguage.enabled' })}
</>
) : (
<>
<X className="w-4 h-4 mr-1" />
{formatMessage({ id: 'settings.responseLanguage.disabled' })}
</>
)}
</Button>
</div>
<p className="text-xs text-muted-foreground">
@@ -566,9 +645,17 @@ function ResponseLanguageSection() {
disabled={chineseLoading || chineseToggling}
onClick={() => toggleChinese(!chineseStatus?.codexEnabled, 'codex')}
>
{chineseStatus?.codexEnabled
? formatMessage({ id: 'settings.responseLanguage.enabled' })
: formatMessage({ id: 'settings.responseLanguage.disabled' })}
{chineseStatus?.codexEnabled ? (
<>
<Check className="w-4 h-4 mr-1" />
{formatMessage({ id: 'settings.responseLanguage.enabled' })}
</>
) : (
<>
<X className="w-4 h-4 mr-1" />
{formatMessage({ id: 'settings.responseLanguage.disabled' })}
</>
)}
</Button>
</div>
<p className="text-xs text-muted-foreground">
@@ -596,9 +683,17 @@ function ResponseLanguageSection() {
disabled={windowsLoading || windowsToggling}
onClick={() => toggleWindows(!windowsStatus?.enabled)}
>
{windowsStatus?.enabled
? formatMessage({ id: 'settings.responseLanguage.enabled' })
: formatMessage({ id: 'settings.responseLanguage.disabled' })}
{windowsStatus?.enabled ? (
<>
<Check className="w-4 h-4 mr-1" />
{formatMessage({ id: 'settings.responseLanguage.enabled' })}
</>
) : (
<>
<X className="w-4 h-4 mr-1" />
{formatMessage({ id: 'settings.responseLanguage.disabled' })}
</>
)}
</Button>
</div>
<p className="text-xs text-muted-foreground">
@@ -634,9 +729,17 @@ function ResponseLanguageSection() {
disabled={cliEnhLoading || cliEnhToggling}
onClick={() => toggleCliEnh(!cliEnhStatus?.enabled)}
>
{cliEnhStatus?.enabled
? formatMessage({ id: 'settings.responseLanguage.enabled' })
: formatMessage({ id: 'settings.responseLanguage.disabled' })}
{cliEnhStatus?.enabled ? (
<>
<Check className="w-4 h-4 mr-1" />
{formatMessage({ id: 'settings.responseLanguage.enabled' })}
</>
) : (
<>
<X className="w-4 h-4 mr-1" />
{formatMessage({ id: 'settings.responseLanguage.disabled' })}
</>
)}
</Button>
</div>
</div>
@@ -650,6 +753,62 @@ function ResponseLanguageSection() {
)}
</div>
</div>
{/* Export/Import Actions */}
<div className="mt-4 pt-4 border-t border-border">
<div className="flex items-center justify-between">
<p className="text-xs text-muted-foreground">
{formatMessage({ id: 'settings.responseLanguage.exportImportHint' })}
</p>
<div className="flex items-center gap-2">
<input
ref={fileInputRef}
type="file"
accept=".json,application/json"
onChange={handleFileImport}
className="hidden"
/>
<Button
variant="outline"
size="sm"
className="h-7"
disabled={importing}
onClick={() => fileInputRef.current?.click()}
>
{importing ? (
<>
<div className="w-3.5 h-3.5 border-2 border-border border-t-accent rounded-full animate-spin mr-1" />
{formatMessage({ id: 'settings.responseLanguage.importing' })}
</>
) : (
<>
<Upload className="w-3.5 h-3.5 mr-1" />
{formatMessage({ id: 'settings.responseLanguage.import' })}
</>
)}
</Button>
<Button
variant="outline"
size="sm"
className="h-7"
disabled={exporting}
onClick={handleExport}
>
{exporting ? (
<>
<div className="w-3.5 h-3.5 border-2 border-border border-t-accent rounded-full animate-spin mr-1" />
{formatMessage({ id: 'settings.responseLanguage.exporting' })}
</>
) : (
<>
<Download className="w-3.5 h-3.5 mr-1" />
{formatMessage({ id: 'settings.responseLanguage.export' })}
</>
)}
</Button>
</div>
</div>
</div>
</Card>
);
}

View File

@@ -14,40 +14,30 @@ import type {
A2UIPreferences,
} from '../types/store';
// Default CLI tools configuration
// Default CLI tools configuration - no model defaults, models come from user's cli-tools.json
const defaultCliTools: Record<string, CliToolConfig> = {
gemini: {
enabled: true,
primaryModel: 'gemini-2.5-pro',
secondaryModel: 'gemini-2.5-flash',
tags: ['analysis', 'debug'],
type: 'builtin',
},
qwen: {
enabled: true,
primaryModel: 'coder-model',
secondaryModel: 'coder-model',
tags: [],
type: 'builtin',
},
codex: {
enabled: true,
primaryModel: 'gpt-5.2',
secondaryModel: 'gpt-5.2',
tags: [],
type: 'builtin',
},
claude: {
enabled: true,
primaryModel: 'sonnet',
secondaryModel: 'haiku',
tags: [],
type: 'builtin',
},
opencode: {
enabled: true,
primaryModel: 'opencode/glm-4.7-free',
secondaryModel: 'opencode/glm-4.7-free',
tags: [],
type: 'builtin',
},

View File

@@ -387,8 +387,8 @@ export type WorkflowStore = WorkflowState & WorkflowActions;
export interface CliToolConfig {
enabled: boolean;
primaryModel: string;
secondaryModel: string;
primaryModel?: string;
secondaryModel?: string;
tags: string[];
type: 'builtin' | 'cli-wrapper' | 'api-endpoint';
/** Path to .env file for environment variables (gemini/qwen/opencode) */

View File

@@ -16,6 +16,9 @@ import {
SettingsListResponse,
SettingsOperationResult,
SaveEndpointRequest,
ExportedSettings,
ImportOptions,
ImportResult,
validateSettings,
createDefaultSettings
} from '../types/cli-settings.js';
@@ -471,3 +474,152 @@ export function validateEndpointName(name: string): { valid: boolean; error?: st
return { valid: true };
}
/**
* Export all CLI endpoint settings
* Returns an ExportedSettings object with version, timestamp, and all endpoints
*/
export function exportAllSettings(): ExportedSettings {
const { endpoints } = listAllSettings();
return {
version: '1.0.0',
timestamp: new Date().toISOString(),
endpoints
};
}
/**
* Import settings from an ExportedSettings object
* Validates and applies imported settings with configurable conflict resolution
*/
export function importSettings(
exportedData: unknown,
options: ImportOptions = {}
): ImportResult {
const {
conflictStrategy = 'skip',
skipInvalid = true,
disableImported = false
} = options;
const result: ImportResult = {
success: false,
imported: 0,
skipped: 0,
errors: [],
importedIds: []
};
// Validate exported data structure
if (!exportedData || typeof exportedData !== 'object') {
result.errors.push('Invalid export data: must be an object');
return result;
}
const data = exportedData as Record<string, unknown>;
// Check for required fields
if (!('endpoints' in data) || !Array.isArray(data.endpoints)) {
result.errors.push('Invalid export data: missing or invalid endpoints array');
return result;
}
// Validate version (for future migration support)
if ('version' in data && typeof data.version !== 'string') {
result.errors.push('Invalid export data: version must be a string');
return result;
}
const endpoints = data.endpoints as unknown[];
const existingIndex = loadIndex();
for (let i = 0; i < endpoints.length; i++) {
const ep = endpoints[i];
// Validate endpoint structure
if (!ep || typeof ep !== 'object') {
if (!skipInvalid) {
result.errors.push(`Endpoint at index ${i}: invalid structure`);
}
result.skipped++;
continue;
}
const endpoint = ep as Record<string, unknown>;
// Check required fields
if (!endpoint.name || typeof endpoint.name !== 'string') {
if (!skipInvalid) {
result.errors.push(`Endpoint at index ${i}: missing or invalid name`);
}
result.skipped++;
continue;
}
if (!endpoint.settings || typeof endpoint.settings !== 'object') {
if (!skipInvalid) {
result.errors.push(`Endpoint at index ${i}: missing or invalid settings`);
}
result.skipped++;
continue;
}
// Validate settings using provider-aware validation
const provider: CliProvider = (endpoint.provider as CliProvider) || 'claude';
if (!validateSettings(endpoint.settings, provider)) {
if (!skipInvalid) {
result.errors.push(`Endpoint "${endpoint.name}": invalid settings format`);
}
result.skipped++;
continue;
}
// Determine endpoint ID
const endpointId = (endpoint.id as string) || generateEndpointId();
const exists = existingIndex.has(endpointId);
// Handle conflicts
if (exists && conflictStrategy === 'skip') {
result.skipped++;
continue;
}
// Prepare import request
const importRequest: SaveEndpointRequest = {
id: endpointId,
name: endpoint.name as string,
description: endpoint.description as string | undefined,
provider,
settings: endpoint.settings as CliSettings,
enabled: disableImported ? false : (endpoint.enabled as boolean) ?? true
};
// For merge strategy, combine with existing if applicable
if (exists && conflictStrategy === 'merge') {
const existing = loadEndpointSettings(endpointId);
if (existing) {
importRequest.settings = {
...existing.settings,
...(endpoint.settings as CliSettings)
} as CliSettings;
importRequest.name = (endpoint.name as string) || existing.name;
importRequest.description = (endpoint.description as string) ?? existing.description;
}
}
// Save the endpoint
const saveResult = saveEndpointSettings(importRequest);
if (saveResult.success) {
result.imported++;
result.importedIds!.push(endpointId);
} else {
result.errors.push(`Endpoint "${endpoint.name}": ${saveResult.message || 'Failed to save'}`);
result.skipped++;
}
}
result.success = result.imported > 0;
return result;
}

View File

@@ -12,9 +12,11 @@ import {
toggleEndpointEnabled,
getSettingsFilePath,
ensureSettingsDir,
sanitizeEndpointId
sanitizeEndpointId,
exportAllSettings,
importSettings
} from '../../config/cli-settings-manager.js';
import type { SaveEndpointRequest } from '../../types/cli-settings.js';
import type { SaveEndpointRequest, ImportOptions } from '../../types/cli-settings.js';
import { validateSettings } from '../../types/cli-settings.js';
import { syncBuiltinToolsAvailability, getBuiltinToolsSyncReport } from '../../tools/claude-cli-tools.js';
@@ -275,5 +277,62 @@ export async function handleCliSettingsRoutes(ctx: RouteContext): Promise<boolea
return true;
}
// ========== EXPORT SETTINGS ==========
// GET /api/cli/settings/export
if (pathname === '/api/cli/settings/export' && req.method === 'GET') {
try {
const exportData = exportAllSettings();
const jsonContent = JSON.stringify(exportData, null, 2);
const timestamp = new Date().toISOString().replace(/[:.]/g, '-').substring(0, 19);
const filename = `cli-settings-export-${timestamp}.json`;
res.writeHead(200, {
'Content-Type': 'application/json',
'Content-Disposition': `attachment; filename="${filename}"`,
'Content-Length': Buffer.byteLength(jsonContent, 'utf-8')
});
res.end(jsonContent);
} catch (err) {
res.writeHead(500, { 'Content-Type': 'application/json' });
res.end(JSON.stringify({ error: (err as Error).message }));
}
return true;
}
// ========== IMPORT SETTINGS ==========
// POST /api/cli/settings/import
if (pathname === '/api/cli/settings/import' && req.method === 'POST') {
handlePostRequest(req, res, async (body: unknown) => {
try {
// Extract import options and data from request
const request = body as { data?: unknown; options?: ImportOptions };
if (!request.data) {
return { error: 'Missing export data in request body', status: 400 };
}
const result = importSettings(request.data, request.options);
if (result.success) {
// Broadcast import event
broadcastToClients({
type: 'CLI_SETTINGS_IMPORTED',
payload: {
imported: result.imported,
skipped: result.skipped,
importedIds: result.importedIds,
timestamp: new Date().toISOString()
}
});
}
return result;
} catch (err) {
return { error: (err as Error).message, status: 500 };
}
});
return true;
}
return false;
}

View File

@@ -335,11 +335,15 @@ export class CliSessionManager {
}
// Merge endpoint env vars with process.env (endpoint overrides process.env)
const spawnEnv: Record<string, string> = {
const spawnEnv: Record<string, string | undefined> = {
...(process.env as Record<string, string>),
...endpointEnv,
};
// Unset CLAUDECODE to allow nested Claude Code sessions (SDK/subagent use case)
// See: https://github.com/anthropics/claude-agent-sdk-python/issues/573
delete spawnEnv.CLAUDECODE;
let pty: nodePty.IPty;
try {
pty = nodePty.spawn(file, args, {

View File

@@ -136,46 +136,32 @@ export interface ClaudeCliCombinedConfig extends ClaudeCliToolsConfig {
// ========== Default Config ==========
// Default tools config - no model defaults, models come from user's cli-tools.json
const DEFAULT_TOOLS_CONFIG: ClaudeCliToolsConfig = {
version: '3.4.0',
tools: {
gemini: {
enabled: true,
primaryModel: 'gemini-2.5-pro',
secondaryModel: 'gemini-2.5-flash',
availableModels: ['gemini-2.5-pro', 'gemini-2.5-flash', 'gemini-2.0-flash', 'gemini-2.0-flash-thinking', 'gemini-1.5-pro'],
tags: [],
type: 'builtin'
},
qwen: {
enabled: true,
primaryModel: 'coder-model',
secondaryModel: 'coder-model',
availableModels: ['coder-model', 'vision-model', 'qwen-2.5-coder', 'qwen-2.5-72b'],
tags: [],
type: 'builtin'
},
codex: {
enabled: true,
primaryModel: 'gpt-5.2',
secondaryModel: 'gpt-5.2',
availableModels: ['gpt-5.2', 'gpt-5', 'gpt5-codex', 'o3', 'o1'],
tags: [],
type: 'builtin'
},
claude: {
enabled: true,
primaryModel: 'sonnet',
secondaryModel: 'haiku',
availableModels: ['opus', 'sonnet', 'haiku'],
tags: [],
type: 'builtin'
},
opencode: {
enabled: true,
primaryModel: 'opencode/glm-4.7-free',
secondaryModel: 'opencode/glm-4.7-free',
availableModels: ['opencode/glm-4.7-free', 'opencode/deepseek-v3-free'],
tags: [],
type: 'builtin'
}

View File

@@ -958,12 +958,16 @@ async function executeCliTool(
// Merge custom env with process.env (custom env takes precedence)
// Also include rulesEnv for $PROTO and $TMPL template variables
const spawnEnv = {
const spawnEnv: Record<string, string | undefined> = {
...process.env,
...customEnv,
...(rulesEnv || {})
};
// Unset CLAUDECODE to allow nested Claude Code sessions (SDK/subagent use case)
// See: https://github.com/anthropics/claude-agent-sdk-python/issues/573
delete spawnEnv.CLAUDECODE;
debugLog('SPAWN', `Spawning process`, {
command,
args,

View File

@@ -23,13 +23,6 @@ const CODE_EXTENSIONS = [
'.ts', '.tsx', '.js', '.jsx', '.py', '.sh', '.go', '.rs'
];
// Default models for each tool
const DEFAULT_MODELS: Record<string, string> = {
gemini: 'gemini-2.5-flash',
qwen: 'coder-model',
codex: 'gpt5-codex'
};
// Template paths (relative to user home directory)
const TEMPLATE_BASE = '~/.ccw/workflows/cli-templates/prompts/documentation';
@@ -141,20 +134,21 @@ function buildCliCommand(tool: string, promptFile: string, model: string): strin
// Build the cat/read command based on platform
const catCmd = isWindows ? `Get-Content -Raw "${normalizedPath}" | ` : `cat "${normalizedPath}" | `;
// Build model flag only if model is specified
const modelFlag = model ? ` -m "${model}"` : '';
switch (tool) {
case 'qwen':
return model === 'coder-model'
? `${catCmd}qwen --yolo`
: `${catCmd}qwen -m "${model}" --yolo`;
return `${catCmd}qwen${modelFlag} --yolo`;
case 'codex':
// codex uses different syntax - prompt as exec argument
if (isWindows) {
return `codex --full-auto exec (Get-Content -Raw "${normalizedPath}") -m "${model}" --skip-git-repo-check -s danger-full-access`;
return `codex --full-auto exec (Get-Content -Raw "${normalizedPath}")${modelFlag} --skip-git-repo-check -s danger-full-access`;
}
return `codex --full-auto exec "$(cat "${normalizedPath}")" -m "${model}" --skip-git-repo-check -s danger-full-access`;
return `codex --full-auto exec "$(cat "${normalizedPath}")"${modelFlag} --skip-git-repo-check -s danger-full-access`;
case 'gemini':
default:
return `${catCmd}gemini -m "${model}" --yolo`;
return `${catCmd}gemini${modelFlag} --yolo`;
}
}
@@ -273,7 +267,8 @@ export async function handler(params: Record<string, unknown>): Promise<ToolResu
try {
actualModel = getSecondaryModel(process.cwd(), tool);
} catch {
actualModel = DEFAULT_MODELS[tool] || DEFAULT_MODELS.gemini;
// If config not available, don't specify model - let CLI decide
actualModel = '';
}
}

View File

@@ -258,3 +258,43 @@ export function validateSettings(settings: unknown, provider?: CliProvider): set
return true;
}
/**
* Exported settings format for backup/restore
*/
export interface ExportedSettings {
/** Export format version for future migrations */
version: string;
/** Export timestamp (ISO 8601) */
timestamp: string;
/** All endpoint settings */
endpoints: EndpointSettings[];
}
/**
* Import options for conflict resolution
*/
export interface ImportOptions {
/** How to handle conflicts: 'skip' keeps existing, 'overwrite' replaces, 'merge' combines */
conflictStrategy?: 'skip' | 'overwrite' | 'merge';
/** Whether to skip invalid endpoints (default: true) */
skipInvalid?: boolean;
/** Whether to disable all imported endpoints (default: false) */
disableImported?: boolean;
}
/**
* Import result summary
*/
export interface ImportResult {
/** Whether import was successful overall */
success: boolean;
/** Number of endpoints imported successfully */
imported: number;
/** Number of endpoints skipped (conflicts or validation errors) */
skipped: number;
/** Detailed error messages for failed imports */
errors: string[];
/** List of imported endpoint IDs */
importedIds?: string[];
}