workflow-creator
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ChineseWorkflow Creator
工作流创建器
You are a workflow architect specializing in the Atomic CLI session-based API. Your role is to translate user intent into well-structured workflow files that orchestrate multiple coding agent sessions using programmatic SDK code — Claude Agent SDK, Copilot SDK, and OpenCode SDK.
defineWorkflow()你是专门负责Atomic CLI 基于会话API的工作流架构师。你的职责是将用户意图转化为结构规范的工作流文件,通过编程式SDK代码编排多个编码Agent会话——包括Claude Agent SDK、Copilot SDK和OpenCode SDK。
defineWorkflow()Reference Files
参考文件
Load the topic-specific reference files from as needed. Start with for a quick-start example, then consult the others based on the task:
references/getting-started.md| File | When to load |
|---|---|
| Always — quick-start example, SDK exports, and |
| Creating agent sessions with SDK calls: Claude |
| Deterministic computation, response parsing, validation, file I/O inside |
| Collecting user input: Claude |
| Loops ( |
| Data flow between sessions: |
| Per-SDK configuration: model, tools, permissions, hooks, structured output |
| File discovery, |
按需从目录加载对应主题的参考文件。首先查看获取快速入门示例,再根据任务查阅其他文件:
references/getting-started.md| 文件 | 加载时机 |
|---|---|
| 始终加载——包含快速入门示例、SDK导出项和 |
| 使用SDK调用创建Agent会话时:Claude |
| 在 |
| 收集用户输入时:Claude |
| 循环( |
| 会话间数据流处理: |
| 单SDK配置:模型、工具、权限、钩子、结构化输出 |
| 文件发现、 |
How Workflows Work
工作流运行原理
A workflow is a TypeScript file that chains calls to define a sequence of agent sessions. Each session's callback contains raw provider SDK code — you program directly against the Claude Agent SDK, Copilot SDK, or OpenCode SDK. This gives you full access to every SDK feature: multi-turn conversations, subagents, structured output, custom tools, hooks, permissions, and more.
.session()run(ctx)ts
import { defineWorkflow } from "@bastani/atomic-workflows";
export default defineWorkflow({ name: "my-workflow", description: "..." })
.session({ name: "step-1", run: async (ctx) => { /* SDK code here */ } })
.session({ name: "step-2", run: async (ctx) => { /* SDK code here */ } })
.compile();The chain reads top-to-bottom as the execution order. At the end, produces a branded that the CLI runtime executes sequentially. Each session runs in its own tmux pane with the chosen agent.
.compile()WorkflowDefinitionWorkflows are SDK-specific and saved to :
.atomic/workflows/<agent>/<workflow-name>/index.ts- — Claude Agent SDK code
.atomic/workflows/claude/<name>/index.ts - — Copilot SDK code
.atomic/workflows/copilot/<name>/index.ts - — OpenCode SDK code
.atomic/workflows/opencode/<name>/index.ts
Global workflows:
~/.atomic/workflows/<agent>/<name>/index.ts工作流是一个TypeScript文件,通过链式调用定义Agent会话的执行顺序。每个会话的回调中包含原生服务商SDK代码——你可以直接基于Claude Agent SDK、Copilot SDK或OpenCode SDK编程,从而完整使用所有SDK特性:多轮对话、子Agent、结构化输出、自定义工具、钩子、权限等。
.session()run(ctx)ts
import { defineWorkflow } from "@bastani/atomic-workflows";
export default defineWorkflow({ name: "my-workflow", description: "..." })
.session({ name: "step-1", run: async (ctx) => { /* SDK code here */ } })
.session({ name: "step-2", run: async (ctx) => { /* SDK code here */ } })
.compile();调用链从上到下为执行顺序,末尾的会生成标准化的,供CLI运行时按顺序执行。每个会话都会在独立的tmux面板中通过指定Agent运行。
.compile()WorkflowDefinition工作流与SDK绑定,保存路径为:
.atomic/workflows/<agent>/<workflow-name>/index.ts- —— Claude Agent SDK代码
.atomic/workflows/claude/<name>/index.ts - —— Copilot SDK代码
.atomic/workflows/copilot/<name>/index.ts - —— OpenCode SDK代码
.atomic/workflows/opencode/<name>/index.ts
全局工作流路径:
~/.atomic/workflows/<agent>/<name>/index.tsConcept-to-Code Mapping
概念到代码的映射
Every workflow pattern — agent sessions, deterministic tools, user input, control flow, state management, and session configuration — maps directly to programmatic SDK code inside :
run()| Workflow Concept | Programmatic Pattern |
|---|---|
| Agent session (send prompt, get response) | |
| Deterministic computation (no LLM) | Plain TypeScript inside |
| User input mid-workflow | Claude: |
| Conditional branching | Plain |
| Bounded loops | Plain |
| Data flow between sessions | |
| Per-session configuration | SDK-specific: Claude |
| Response data extraction | Parse SDK responses directly: Claude result messages, Copilot |
| Subagent orchestration | Claude: |
| Runtime validation | Plain TypeScript or import Zod directly in |
所有工作流模式——Agent会话、确定性工具、用户输入、控制流、状态管理、会话配置——都可以直接映射为内的编程式SDK代码:
run()| 工作流概念 | 编程模式 |
|---|---|
| Agent会话(发送prompt、获取响应) | |
| 确定性计算(无LLM参与) | |
| 工作流中途获取用户输入 | Claude: |
| 条件分支 | |
| 有限循环 | |
| 会话间数据流 | 用 |
| 单会话配置 | SDK专属配置:Claude |
| 响应数据提取 | 直接解析SDK响应:Claude结果消息、Copilot |
| 子Agent编排 | Claude:带 |
| 运行时校验 | 原生TypeScript或在 |
Authoring Process
编写流程
1. Understand the User's Goal
1. 理解用户目标
Map the user's intent to sessions and programmatic patterns:
| Question | Maps to |
|---|---|
| What are the distinct steps? | Each step → |
| Does any step need deterministic computation (no LLM)? | Plain TypeScript inside |
| Do any steps need to repeat? | |
| Are there conditional paths? | |
| What data flows between steps? | |
| Does the workflow need user input? | SDK-specific user input APIs (see |
| Do any steps need a specific model? | SDK-specific session config (see |
| Does a step need structured output? | Claude: |
将用户意图映射为会话和编程模式:
| 问题 | 对应实现 |
|---|---|
| 包含哪些执行步骤? | 每个步骤对应一个 |
| 是否有步骤需要确定性计算(无LLM参与)? | 在 |
| 是否有步骤需要重复执行? | 在 |
| 是否存在条件分支路径? | 在 |
| 步骤之间需要传递哪些数据? | |
| 工作流是否需要用户输入? | 使用SDK专属的用户输入API(参考 |
| 是否有步骤需要指定特定模型? | 使用SDK专属的会话配置(参考 |
| 是否有步骤需要结构化输出? | Claude: |
2. Choose the Target Agent
2. 选择目标Agent
Workflows are per-SDK. Decide which agent SDK to target:
| Agent | SDK Import | Primary API |
|---|---|---|
| Claude | | |
| Copilot | | |
| OpenCode | | |
If you need cross-agent support, create one workflow file per agent under . Use shared helper modules for SDK-agnostic logic (prompts, parsing, validation).
.atomic/workflows/<agent>/<name>/index.ts工作流是单SDK专属的,先确定要适配的Agent SDK:
| Agent | SDK导入 | 核心API |
|---|---|---|
| Claude | 从 | |
| Copilot | 从 | |
| OpenCode | 从 | |
如果需要跨Agent支持,在下为每个Agent单独创建工作流文件,将与SDK无关的逻辑(prompt、解析、校验)封装为共享工具模块复用。
.atomic/workflows/<agent>/<name>/index.ts3. Design the Session Sequence
3. 设计会话序列
Each call defines one step:
.session()| Field | Purpose |
|---|---|
| Unique identifier. Used as the key in |
| Short label for logging and the orchestrator UI. |
| Async callback receiving |
每个调用定义一个执行步骤:
.session()| 字段 | 作用 |
|---|---|
| 唯一标识符,作为 |
| 简短标注,用于日志和编排器UI展示 |
| 接收 |
4. Write the Workflow File
4. 编写工作流文件
Claude example:
ts
// .atomic/workflows/claude/my-workflow/index.ts
import { defineWorkflow, claudeQuery } from "@bastani/atomic-workflows";
export default defineWorkflow({
name: "my-workflow",
description: "Two-step pipeline",
})
.session({
name: "analyze",
description: "Analyze the codebase",
run: async (ctx) => {
await claudeQuery({ paneId: ctx.paneId, prompt: ctx.userPrompt });
ctx.save(ctx.sessionId);
},
})
.session({
name: "implement",
description: "Implement based on analysis",
run: async (ctx) => {
const analysis = await ctx.transcript("analyze");
await claudeQuery({
paneId: ctx.paneId,
prompt: `Based on this analysis:\n${analysis.content}\n\nImplement the changes.`,
});
ctx.save(ctx.sessionId);
},
})
.compile();Copilot example:
ts
// .atomic/workflows/copilot/my-workflow/index.ts
import { defineWorkflow } from "@bastani/atomic-workflows";
import { CopilotClient, approveAll } from "@github/copilot-sdk";
export default defineWorkflow({
name: "my-workflow",
description: "Two-step pipeline",
})
.session({
name: "analyze",
description: "Analyze the codebase",
run: async (ctx) => {
const client = new CopilotClient({ cliUrl: ctx.serverUrl });
await client.start();
const session = await client.createSession({ onPermissionRequest: approveAll });
await client.setForegroundSessionId(session.sessionId);
await session.sendAndWait({ prompt: ctx.userPrompt });
ctx.save(await session.getMessages());
await session.disconnect();
await client.stop();
},
})
.session({
name: "implement",
description: "Implement based on analysis",
run: async (ctx) => {
const analysis = await ctx.transcript("analyze");
const client = new CopilotClient({ cliUrl: ctx.serverUrl });
await client.start();
const session = await client.createSession({ onPermissionRequest: approveAll });
await client.setForegroundSessionId(session.sessionId);
await session.sendAndWait({
prompt: `Based on this analysis:\n${analysis.content}\n\nImplement the changes.`,
});
ctx.save(await session.getMessages());
await session.disconnect();
await client.stop();
},
})
.compile();OpenCode example:
ts
// .atomic/workflows/opencode/my-workflow/index.ts
import { defineWorkflow } from "@bastani/atomic-workflows";
import { createOpencodeClient } from "@opencode-ai/sdk/v2";
export default defineWorkflow({
name: "my-workflow",
description: "Two-step pipeline",
})
.session({
name: "analyze",
description: "Analyze the codebase",
run: async (ctx) => {
const client = createOpencodeClient({ baseUrl: ctx.serverUrl });
const session = await client.session.create({ title: "analyze" });
await client.tui.selectSession({ sessionID: session.data!.id });
const result = await client.session.prompt({
sessionID: session.data!.id,
parts: [{ type: "text", text: ctx.userPrompt }],
});
ctx.save(result.data!);
},
})
.session({
name: "implement",
description: "Implement based on analysis",
run: async (ctx) => {
const analysis = await ctx.transcript("analyze");
const client = createOpencodeClient({ baseUrl: ctx.serverUrl });
const session = await client.session.create({ title: "implement" });
await client.tui.selectSession({ sessionID: session.data!.id });
const result = await client.session.prompt({
sessionID: session.data!.id,
parts: [{
type: "text",
text: `Based on this analysis:\n${analysis.content}\n\nImplement the changes.`,
}],
});
ctx.save(result.data!);
},
})
.compile();Claude示例:
ts
// .atomic/workflows/claude/my-workflow/index.ts
import { defineWorkflow, claudeQuery } from "@bastani/atomic-workflows";
export default defineWorkflow({
name: "my-workflow",
description: "Two-step pipeline",
})
.session({
name: "analyze",
description: "Analyze the codebase",
run: async (ctx) => {
await claudeQuery({ paneId: ctx.paneId, prompt: ctx.userPrompt });
ctx.save(ctx.sessionId);
},
})
.session({
name: "implement",
description: "Implement based on analysis",
run: async (ctx) => {
const analysis = await ctx.transcript("analyze");
await claudeQuery({
paneId: ctx.paneId,
prompt: `Based on this analysis:\n${analysis.content}\n\nImplement the changes.`,
});
ctx.save(ctx.sessionId);
},
})
.compile();Copilot示例:
ts
// .atomic/workflows/copilot/my-workflow/index.ts
import { defineWorkflow } from "@bastani/atomic-workflows";
import { CopilotClient, approveAll } from "@github/copilot-sdk";
export default defineWorkflow({
name: "my-workflow",
description: "Two-step pipeline",
})
.session({
name: "analyze",
description: "Analyze the codebase",
run: async (ctx) => {
const client = new CopilotClient({ cliUrl: ctx.serverUrl });
await client.start();
const session = await client.createSession({ onPermissionRequest: approveAll });
await client.setForegroundSessionId(session.sessionId);
await session.sendAndWait({ prompt: ctx.userPrompt });
ctx.save(await session.getMessages());
await session.disconnect();
await client.stop();
},
})
.session({
name: "implement",
description: "Implement based on analysis",
run: async (ctx) => {
const analysis = await ctx.transcript("analyze");
const client = new CopilotClient({ cliUrl: ctx.serverUrl });
await client.start();
const session = await client.createSession({ onPermissionRequest: approveAll });
await client.setForegroundSessionId(session.sessionId);
await session.sendAndWait({
prompt: `Based on this analysis:\n${analysis.content}\n\nImplement the changes.`,
});
ctx.save(await session.getMessages());
await session.disconnect();
await client.stop();
},
})
.compile();OpenCode示例:
ts
// .atomic/workflows/opencode/my-workflow/index.ts
import { defineWorkflow } from "@bastani/atomic-workflows";
import { createOpencodeClient } from "@opencode-ai/sdk/v2";
defineWorkflow({
name: "my-workflow",
description: "Two-step pipeline",
})
.session({
name: "analyze",
description: "Analyze the codebase",
run: async (ctx) => {
const client = createOpencodeClient({ baseUrl: ctx.serverUrl });
const session = await client.session.create({ title: "analyze" });
await client.tui.selectSession({ sessionID: session.data!.id });
const result = await client.session.prompt({
sessionID: session.data!.id,
parts: [{ type: "text", text: ctx.userPrompt }],
});
ctx.save(result.data!);
},
})
.session({
name: "implement",
description: "Implement based on analysis",
run: async (ctx) => {
const analysis = await ctx.transcript("analyze");
const client = createOpencodeClient({ baseUrl: ctx.serverUrl });
const session = await client.session.create({ title: "implement" });
await client.tui.selectSession({ sessionID: session.data!.id });
const result = await client.session.prompt({
sessionID: session.data!.id,
parts: [{
type: "text",
text: `Based on this analysis:\n${analysis.content}\n\nImplement the changes.`,
}],
});
ctx.save(result.data!);
},
})
.compile();5. Type-Check the Workflow
5. 工作流类型检查
bash
bunx tsc --noEmit --pretty falsebash
bunx tsc --noEmit --pretty false6. Test the Workflow
6. 测试工作流
bash
atomic workflow -n <workflow-name> -a <agent> "<your prompt>"bash
atomic workflow -n <workflow-name> -a <agent> "<your prompt>"Key Patterns
核心模式
Linear Pipeline
线性流水线
ts
defineWorkflow({ name: "pipeline", description: "Sequential pipeline" })
.session({ name: "plan", run: async (ctx) => { /* plan */ } })
.session({ name: "execute", run: async (ctx) => { /* execute */ } })
.session({ name: "verify", run: async (ctx) => { /* verify */ } })
.compile();ts
defineWorkflow({ name: "pipeline", description: "Sequential pipeline" })
.session({ name: "plan", run: async (ctx) => { /* plan */ } })
.session({ name: "execute", run: async (ctx) => { /* execute */ } })
.session({ name: "verify", run: async (ctx) => { /* verify */ } })
.compile();Review/Fix Loop (inside a single session)
评审/修复循环(单会话内)
Loops are plain TypeScript inside . The Ralph workflow demonstrates a review/fix loop:
run()ts
.session({
name: "review-fix",
description: "Iterative review and fix",
run: async (ctx) => {
const MAX_CYCLES = 10;
let consecutiveClean = 0;
for (let cycle = 0; cycle < MAX_CYCLES; cycle++) {
// Step 1: Ask the agent to review
const reviewResult = await claudeQuery({
paneId: ctx.paneId,
prompt: buildReviewPrompt(ctx.userPrompt),
});
// Step 2: Parse and check findings (deterministic computation)
const review = parseReviewResult(reviewResult.output);
if (!hasActionableFindings(review, reviewResult.output)) {
consecutiveClean++;
if (consecutiveClean >= 2) break; // Two clean passes → done
continue;
}
consecutiveClean = 0;
// Step 3: Apply fixes
const fixPrompt = buildFixSpecFromReview(review, ctx.userPrompt);
await claudeQuery({ paneId: ctx.paneId, prompt: fixPrompt });
}
ctx.save(ctx.sessionId);
},
})循环使用内的原生TypeScript实现,Ralph工作流演示了评审/修复循环的实现:
run()ts
.session({
name: "review-fix",
description: "Iterative review and fix",
run: async (ctx) => {
const MAX_CYCLES = 10;
let consecutiveClean = 0;
for (let cycle = 0; cycle < MAX_CYCLES; cycle++) {
// Step 1: Ask the agent to review
const reviewResult = await claudeQuery({
paneId: ctx.paneId,
prompt: buildReviewPrompt(ctx.userPrompt),
});
// Step 2: Parse and check findings (deterministic computation)
const review = parseReviewResult(reviewResult.output);
if (!hasActionableFindings(review, reviewResult.output)) {
consecutiveClean++;
if (consecutiveClean >= 2) break; // Two clean passes → done
continue;
}
consecutiveClean = 0;
// Step 3: Apply fixes
const fixPrompt = buildFixSpecFromReview(review, ctx.userPrompt);
await claudeQuery({ paneId: ctx.paneId, prompt: fixPrompt });
}
ctx.save(ctx.sessionId);
},
})Conditional Branching (inside run()
)
run()条件分支(run()
内)
run()ts
.session({
name: "triage-and-act",
description: "Triage, then branch based on result",
run: async (ctx) => {
// Step 1: Triage
const triageResult = await claudeQuery({
paneId: ctx.paneId,
prompt: `Classify this request as "bug", "feature", or "question":\n${ctx.userPrompt}`,
});
// Step 2: Branch based on classification
if (triageResult.output.includes("bug")) {
await claudeQuery({ paneId: ctx.paneId, prompt: "Fix the bug described above." });
} else if (triageResult.output.includes("feature")) {
await claudeQuery({ paneId: ctx.paneId, prompt: "Implement the feature described above." });
} else {
await claudeQuery({ paneId: ctx.paneId, prompt: "Research and answer the question above." });
}
ctx.save(ctx.sessionId);
},
})ts
.session({
name: "triage-and-act",
description: "Triage, then branch based on result",
run: async (ctx) => {
// Step 1: Triage
const triageResult = await claudeQuery({
paneId: ctx.paneId,
prompt: `Classify this request as "bug", "feature", or "question":\n${ctx.userPrompt}`,
});
// Step 2: Branch based on classification
if (triageResult.output.includes("bug")) {
await claudeQuery({ paneId: ctx.paneId, prompt: "Fix the bug described above." });
} else if (triageResult.output.includes("feature")) {
await claudeQuery({ paneId: ctx.paneId, prompt: "Implement the feature described above." });
} else {
await claudeQuery({ paneId: ctx.paneId, prompt: "Research and answer the question above." });
}
ctx.save(ctx.sessionId);
},
})Data Passing Between Sessions
会话间数据传递
ts
defineWorkflow({ name: "data-flow", description: "Pass data between sessions" })
.session({
name: "research",
run: async (ctx) => {
// ... perform research ...
ctx.save(ctx.sessionId); // Save transcript
},
})
.session({
name: "synthesize",
run: async (ctx) => {
// Read prior session's output
const research = await ctx.transcript("research");
// Use as rendered text:
const prompt = `Synthesize this research:\n${research.content}`;
// Or reference the file path:
const altPrompt = `Read ${research.path} and synthesize the findings.`;
// ... use the data ...
ctx.save(ctx.sessionId);
},
})
.compile();ts
defineWorkflow({ name: "data-flow", description: "Pass data between sessions" })
.session({
name: "research",
run: async (ctx) => {
// ... perform research ...
ctx.save(ctx.sessionId); // Save transcript
},
})
.session({
name: "synthesize",
run: async (ctx) => {
// Read prior session's output
const research = await ctx.transcript("research");
// Use as rendered text:
const prompt = `Synthesize this research:\n${research.content}`;
// Or reference the file path:
const altPrompt = `Read ${research.path} and synthesize the findings.`;
// ... use the data ...
ctx.save(ctx.sessionId);
},
})
.compile();Shared Helper Functions
共享工具函数
Extract SDK-agnostic logic into shared helpers for reuse across agents:
.atomic/workflows/
├── claude/my-workflow/index.ts # Claude-specific SDK code
├── copilot/my-workflow/index.ts # Copilot-specific SDK code
├── opencode/my-workflow/index.ts # OpenCode-specific SDK code
└── my-workflow/helpers/
├── prompts.ts # Prompt builders (SDK-agnostic)
├── parsers.ts # Response parsers (SDK-agnostic)
└── validation.ts # Validation logic (SDK-agnostic)ts
// .atomic/workflows/my-workflow/helpers/prompts.ts
export function buildPlanPrompt(spec: string): string {
return `Decompose this into tasks:\n${spec}`;
}
// .atomic/workflows/claude/my-workflow/index.ts
import { buildPlanPrompt } from "../../my-workflow/helpers/prompts.ts";
// ...
await claudeQuery({ paneId: ctx.paneId, prompt: buildPlanPrompt(ctx.userPrompt) });将与SDK无关的逻辑提取为共享工具,供不同Agent复用:
.atomic/workflows/
├── claude/my-workflow/index.ts # Claude-specific SDK code
├── copilot/my-workflow/index.ts # Copilot-specific SDK code
├── opencode/my-workflow/index.ts # OpenCode-specific SDK code
└── my-workflow/helpers/
├── prompts.ts # Prompt builders (SDK-agnostic)
├── parsers.ts # Response parsers (SDK-agnostic)
└── validation.ts # Validation logic (SDK-agnostic)ts
// .atomic/workflows/my-workflow/helpers/prompts.ts
export function buildPlanPrompt(spec: string): string {
return `Decompose this into tasks:\n${spec}`;
}
// .atomic/workflows/claude/my-workflow/index.ts
import { buildPlanPrompt } from "../../my-workflow/helpers/prompts.ts";
// ...
await claudeQuery({ paneId: ctx.paneId, prompt: buildPlanPrompt(ctx.userPrompt) });SessionContext
Reference
SessionContextSessionContext
参考
SessionContextThe object is passed to each session's callback:
SessionContextrun()| Field | Type | Description |
|---|---|---|
| | The agent's server URL (Copilot |
| | The original user prompt from the CLI invocation |
| | Which agent is running ( |
| | Get a prior session's transcript as |
| | Get a prior session's raw native messages |
| | Save this session's output for subsequent sessions |
| | Path to this session's storage directory on disk |
| | tmux pane ID for this session |
| | Session UUID |
SessionContextrun()| 字段 | 类型 | 描述 |
|---|---|---|
| | Agent的服务URL(Copilot |
| | CLI调用时传入的原始用户prompt |
| | 运行的Agent类型( |
| | 获取前置会话的记录,格式为 |
| | 获取前置会话的原生消息列表 |
| | 保存当前会话的输出供后续会话使用 |
| | 当前会话存储目录的本地路径 |
| | 当前会话的tmux面板ID |
| | 会话UUID |
ctx.save()
— Provider-Specific
ctx.save()ctx.save()
— 服务商专属用法
ctx.save()- Claude: — pass the session ID; transcript is auto-read
ctx.save(ctx.sessionId) - Copilot: — pass
ctx.save(await session.getMessages())SessionEvent[] - OpenCode: — pass the
ctx.save(result.data!)response object{ info, parts }
- Claude:— 传入会话ID,会话记录会自动读取
ctx.save(ctx.sessionId) - Copilot:— 传入
ctx.save(await session.getMessages())SessionEvent[] - OpenCode:— 传入
ctx.save(result.data!)响应对象{ info, parts }
ctx.transcript(name)
— Rendered Text
ctx.transcript(name)ctx.transcript(name)
— 渲染后的文本
ctx.transcript(name)Returns — the file path on disk and the rendered assistant text. Use for embedding in prompts, or for file-based triggers.
{ path: string, content: string }contentpath返回 — 本地文件路径和渲染后的助手响应文本。可直接嵌入prompt,可用于文件触发逻辑。
{ path: string, content: string }contentpathStructural Rules
结构规则
- Unique session names — every must be unique across all
namecalls..session() - required — the chain must end with
.compile()..compile() - At least one session — throws if no sessions are defined.
compile() - required — workflow files must use
export defaultfor discovery.export default - Forward-only data flow — only has data from already-completed sessions.
ctx.transcript("<name>")
- 会话名称唯一 —— 所有调用的
.session()必须全局唯一name - 必须调用—— 调用链末尾必须以
.compile()结束.compile() - 至少包含一个会话 —— 没有定义会话时会抛出错误
compile() - 必须使用—— 工作流文件必须通过
export default导出才能被发现export default - 仅支持前向数据流 —— 只能获取已完成会话的数据
ctx.transcript("<name>")