# 任务驱动工作流

任务不仅仅是待办 — 它们是持久化 LLM 工作流的骨架。为多步工作创建任务，可确保跨会话连续性，并提供完成情况的审计轨迹。

## 为什么用任务驱动？

无任务：
- LLM 每次会话开始时不知道要做什么
- 多步工作执行到一半被遗忘
- 没有已完成工作的记录

有任务：
- LLM 立即恢复进行中的任务
- 多步工作跨会话存活
- 内置完成工作的审计轨迹

## 模式

```
1. 会话开始：检查 in_progress 任务
2. 若有任务：恢复它们
3. 若无任务：为当前工作创建新任务
4. 随进度更新任务状态
5. 完成时标记 done
```

## 实现

### 第 1 步：为多步工作创建任务

```python
def start_workflow(title, steps):
    """为多步工作创建任务。"""
    task_id = create_task(
        title=title,
        description=f"Steps:\n" + "\n".join(f"  {i+1}. {s}" for i, s in enumerate(steps)),
        priority="high"
    )
    return task_id

# 示例
task_id = start_workflow("Deploy Synapse v1.6.0", [
    "Bump version in package.json",
    "Update CHANGELOG.md",
    "Commit and push",
    "Wait for CI green",
    "Verify deployment"
])
```

### 第 2 步：在任务描述中跟踪进度

```python
def update_progress(task_id, current_step, total_steps, status_note):
    """更新任务的当前进度。"""
    description = f"Progress: {current_step}/{total_steps}\nStatus: {status_note}"
    update_task(task_id, status="in_progress", description=description)

# 示例
update_progress(task_id, 2, 5, "CHANGELOG updated, committing now")
```

### 第 3 步：跨会话恢复

```python
def resume_work():
    """会话开始时，找出并恢复进行中的任务。"""
    tasks = list_tasks(status="in_progress")
    
    for task in tasks:
        print(f"Resuming: {task['title']}")
        print(f"Last status: {task['description']}")
        
        # 从描述中解析进度
        progress = parse_progress(task['description'])
        next_step = progress['current_step'] + 1
        
        # 从下一步继续
        continue_from_step(task['id'], next_step)
```

### 第 4 步：完成并归档

```python
def complete_task(task_id, summary):
    """标记任务为完成，附上完成总结。"""
    update_task(task_id, 
        status="done",
        description=f"COMPLETED. Summary: {summary}"
    )
    # 同时存为记忆供长期参考
    remember(
        category="project",
        key=f"completed_{task_id}",
        content=f"Task: {task_id}\nSummary: {summary}",
        tags=["completed", "task"],
        priority="normal"
    )
```

## 完整示例：部署工作流

```python
class DeployWorkflow:
    def __init__(self, version):
        self.version = version
        self.task_id = None
        self.steps = [
            ("Bump version", self.bump_version),
            ("Update changelog", self.update_changelog),
            ("Commit and push", self.commit_push),
            ("Wait for CI", self.wait_for_ci),
            ("Verify deployment", self.verify_deployment),
        ]
    
    def run(self):
        # 检查是否已在进行中
        existing = self.find_existing()
        if existing:
            self.task_id = existing['id']
            start_step = self.parse_progress(existing['description'])
        else:
            self.task_id = create_task(
                title=f"Deploy Synapse v{self.version}",
                description=self.build_description(0),
                priority="high"
            )
            start_step = 0
        
        # 执行剩余步骤
        for i in range(start_step, len(self.steps)):
            step_name, step_fn = self.steps[i]
            self.update_progress(i, f"Running: {step_name}")
            try:
                step_fn()
            except Exception as e:
                self.update_progress(i, f"FAILED at {step_name}: {e}")
                raise
        
        self.complete()
    
    def update_progress(self, step_idx, status):
        update_task(self.task_id,
            status="in_progress",
            description=f"Step {step_idx+1}/{len(self.steps)}: {status}"
        )
    
    def complete(self):
        complete_task(self.task_id, f"Deployed v{self.version} successfully")
```

## 任务层级

对于复杂工作，使用父子任务关系：

```python
# 父任务
parent_id = create_task("v1.6.0 Release", priority="high")

# 子任务（通过标签关联）
create_task("Bump version", 
    description=f"Parent: {parent_id}",
    tags=["v1.6.0", f"parent-{parent_id}"],
    priority="high")

create_task("Update docs",
    description=f"Parent: {parent_id}",
    tags=["v1.6.0", f"parent-{parent_id}"],
    priority="normal")
```

搜索子任务：

```bash
curl -H "Authorization: Bearer $KEY" \
     ".../memory/search?q=parent-{parent_id}&tag=v1.6.0"
```

## 状态工作流

```
pending → in_progress → done
                ↘ cancelled
```

### Pending

任务已创建但未开始。用于计划的工作。

### In Progress

正在处理中。**用进度更新描述。**

### Done

成功完成。描述应包含总结。

### Cancelled

已放弃。描述应包含原因。

## 最佳实践

> [!TIP]
> - **多步工作创建任务** — 单步工作不需要任务
> - **用进度更新描述** — 支持恢复
> - **活跃工作用 high 优先级** — 在回放中浮现
> - **完成后标记 done** — 不要让任务停留在 in_progress
> - **把完成总结存为记忆** — 长期参考

## 常见模式

### 模式：Bug 修复工作流

```python
def fix_bug(bug_id, description):
    task_id = create_task(
        title=f"Fix bug {bug_id}",
        description=description,
        priority="high"
    )
    
    # 调查
    update_progress(task_id, "Investigating root cause")
    root_cause = investigate()
    
    # 修复
    update_progress(task_id, f"Applying fix: {root_cause}")
    apply_fix(root_cause)
    
    # 测试
    update_progress(task_id, "Testing fix")
    run_tests()
    
    # 部署
    update_progress(task_id, "Deploying fix")
    deploy()
    
    complete_task(task_id, f"Fixed: {root_cause}")
```

### 模式：研究工作流

```python
def research_topic(topic):
    task_id = create_task(
        title=f"Research: {topic}",
        priority="normal"
    )
    
    update_progress(task_id, "Gathering sources")
    sources = gather_sources(topic)
    
    update_progress(task_id, "Analyzing")
    analysis = analyze(sources)
    
    update_progress(task_id, "Storing findings")
    remember("fact", f"research_{topic}", analysis,
             tags=["research", topic], priority="normal")
    
    complete_task(task_id, f"Research complete: {len(sources)} sources")
```

## 下一步

- [会话启动模式](/docs/llm-cookbook/session-start-pattern)
- [聊天轮询模式](/docs/llm-cookbook/chat-polling-pattern)
- [错误恢复](/docs/llm-cookbook/error-recovery)