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Author SHA1 Message Date
xiaoju 36a3ca6a08 chore: bump cli@0.2.0, util@0.1.2
CI / check (push) Successful in 2m25s
2026-06-05 10:11:19 +00:00
xiaomo eb0b7b514f Merge pull request 'docs: update wf-stateless-design.md for new/resume $START semantics' (#103) from docs/101-stateless-design-update into main
CI / check (push) Successful in 2m9s
2026-06-05 09:49:23 +00:00
xiaoju a47871ec4e chore: remove unused moderator-reference and yaml-reference
CI / check (pull_request) Successful in 2m1s
These generate* functions were exported from util but never consumed
by any code. Dead exports are maintenance burden.

Refs #101
2026-06-05 09:44:50 +00:00
xiaoju 5851e5d162 docs: update wf-stateless-design.md to reflect new/resume semantics
CI / check (pull_request) Successful in 2m23s
Refs #101
2026-06-05 09:38:01 +00:00
xiaomo 61dfb40933 Merge pull request 'feat: replace $START _ status with new/resume semantics' (#102) from feat/101-start-new-resume into main
CI / check (push) Successful in 2m42s
2026-06-05 09:35:35 +00:00
6 changed files with 7 additions and 148 deletions
+4 -4
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@@ -200,7 +200,7 @@ payload:
- `roles` — 内联定义,每个 role 的 `meta` 是独立的 ocas_ref(指向 ocas 内置 JSON Schema 节点)
- `graph``Record<Role | "$START", Record<Status, Target>>`,每个 Target = `{ role, prompt }`
- Status 来自上一个 role 输出的 `status` 字段,`$START``_` 作为初始 status
- Status 来自上一个 role 输出的 `$status` 字段,`$START` 使`new`(首次启动)和 `resume`(恢复已完成的 thread)作为 status
- Prompt 模板使用 Mustache 渲染,变量来自 lastOutput
- 不含 agent binding — agent 配置在 `~/.uwf/config.yaml` 中管理
@@ -208,7 +208,7 @@ Moderator 的求值逻辑:
```typescript
evaluate(graph, lastRole, lastOutput) { role, prompt }
// 1. status = lastRole === "$START" ? "_" : lastOutput.status
// 1. status = lastOutput.$status (e.g. "new" for $START first run, "resume" for completed thread resume)
// 2. target = graph[lastRole][status]
// 3. prompt = mustache.render(target.prompt, lastOutput)
```
@@ -422,8 +422,8 @@ type StepNodePayload = StepRecord & {
Moderator 使用 `evaluate(graph, lastRole, lastOutput)` 进行同步 status-based routing:
```typescript
// graph[lastRole][lastOutput.status] → Target { role, prompt }
// $START 角色使用 "_" 作为初始 status
// graph[lastRole][lastOutput.$status] → Target { role, prompt }
// $START 使用 "new"(首次启动)和 "resume"(恢复已完成 thread)作为 status
// prompt 通过 Mustache 模板渲染,变量来自 lastOutput
```
+1 -1
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@@ -1,6 +1,6 @@
{
"name": "@united-workforce/cli",
"version": "0.1.1",
"version": "0.2.0",
"files": [
"src",
"dist",
+1 -1
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@@ -1,6 +1,6 @@
{
"name": "@united-workforce/util",
"version": "0.1.1",
"version": "0.1.2",
"files": [
"src",
"dist",
+1 -2
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@@ -15,7 +15,7 @@ export {
validateFrontmatter,
} from "./frontmatter-markdown/index.js";
export { createLogger } from "./logger.js";
export { generateModeratorReference } from "./moderator-reference.js";
export type {
CreateProcessLoggerOptions,
ProcessLogFn,
@@ -35,4 +35,3 @@ export { extractUlidTimestamp, generateUlid } from "./ulid.js";
export { generateUsageReference } from "./usage-reference.js";
export { VERSION } from "./version.js";
export { generateWorkflowAuthoringReference } from "./workflow-authoring-reference.js";
export { generateYamlReference } from "./yaml-reference.js";
-57
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@@ -1,57 +0,0 @@
export function generateModeratorReference(): string {
return `# Moderator Reference
## Overview
The moderator is the workflow engine's routing component. It evaluates the directed graph defined in the workflow YAML to determine the next role (or \`$END\`) after each step — with zero LLM cost.
## Status-Based Routing
The moderator uses **status-based routing**: it inspects the previous step's extracted output (specifically the \`$status\` field) and looks up the corresponding edge in the graph.
### Graph Structure
The graph is a nested map: \`Record<Role | "$START", Record<Status, Target>>\`. Each role maps its possible \`$status\` values to a target with a \`role\` and \`prompt\`:
\`\`\`yaml
graph:
$START:
new: { role: planner, prompt: "Analyze the issue." }
resume: { role: planner, prompt: "Review the previous run output and continue." }
planner:
ready: { role: developer, prompt: "Implement the plan (CAS hash: {{{plan}}})." }
insufficient_info: { role: $END, prompt: "Not enough info." }
developer:
done: { role: reviewer, prompt: "Review branch {{{branch}}} at {{{worktree}}}." }
failed: { role: $END, prompt: "Developer failed: {{{reason}}}." }
reviewer:
approved: { role: tester, prompt: "Run tests on {{{branch}}} at {{{worktree}}}." }
rejected: { role: developer, prompt: "Fix issues: {{{comments}}}." }
\`\`\`
### Routing Algorithm
1. Look up \`graph[lastRole]\` to get the status map for the current role
2. Look up \`statusMap[lastOutput.$status]\` to get the target
3. If target role is \`$END\`, mark thread as completed
4. Otherwise, render the edge prompt (Mustache templates with \`{{{field}}}\` from output) and spawn the next agent
### Edge Prompts and Mustache Templates
Edge prompts use triple-brace Mustache syntax (\`{{{field}}}\`) to interpolate values from the previous step's output into the next agent's task prompt. This passes structured data (branch names, file paths, CAS hashes) between roles without manual wiring.
## Special Nodes
- \`$START\` — entry point; uses status keys \`new\` (first start) and \`resume\` (resuming a completed thread)
- \`$END\` — terminal node; thread completes when reached and is moved to history
## Integration with Steps
Each \`uwf thread exec\` cycle:
1. Moderator reads the thread's head step output
2. Looks up \`graph[lastRole][output.$status]\` to pick the next role
3. If next is \`$END\`, marks thread as completed
4. Otherwise, renders the edge prompt and spawns the agent for the selected role
5. Extract pipeline parses agent output → new step node → append to CAS chain
`;
}
-83
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@@ -1,83 +0,0 @@
export function generateYamlReference(): string {
return `# Workflow YAML Schema Reference
## Top-Level Structure
A workflow YAML file defines the complete workflow specification:
\`\`\`yaml
name: solve-issue # verb-first kebab-case identifier
description: "..." # human-readable description
roles: # named actors in the workflow
planner:
description: "Analyzes issue and outputs a plan"
goal: "You are a planning agent."
capabilities:
- issue-analysis
- planning
procedure: |
1. Read the issue
2. Produce a test spec
output: "Output the plan summary. Set $status to ready or insufficient_info."
frontmatter: # JSON Schema for structured output (drives routing)
oneOf:
- properties:
$status: { const: ready }
plan: { type: string }
required: [$status, plan]
- properties:
$status: { const: insufficient_info }
required: [$status]
graph: # status-based routing (nested map)
$START:
new: { role: planner, prompt: "Analyze the issue." }
resume: { role: planner, prompt: "Review the previous run output and continue." }
planner:
ready: { role: developer, prompt: "Implement plan {{{plan}}}." }
insufficient_info: { role: $END, prompt: "Not enough info." }
\`\`\`
## roles
Each role defines an actor in the workflow:
| Field | Type | Description |
|-------|------|-------------|
| \`description\` | string | Short description of the role's purpose |
| \`goal\` | string | System-level goal statement for the agent |
| \`capabilities\` | string[] | Tags describing what the role can do |
| \`procedure\` | string | Step-by-step instructions for the agent |
| \`output\` | string | Description of expected output format |
| \`frontmatter\` | JSON Schema | Defines the structured output the agent must produce |
### frontmatter
The \`frontmatter\` field is a standard JSON Schema object. The extract pipeline validates agent output against it. Key conventions:
- \`$status\` field drives routing decisions in the graph
- Use \`const\` or \`enum\` to constrain status values
- Use \`oneOf\` to define multiple valid output shapes (one per status)
- All \`required\` fields must appear in the agent's frontmatter output
## graph
The graph is a nested map defining status-based routing:
\`\`\`
Record<Role | "$START", Record<Status, { role: string, prompt: string }>>
\`\`\`
| Level | Key | Value |
|-------|-----|-------|
| Outer | Role name or \`$START\` | Status map for that role |
| Inner | \`$status\` value | Target: \`{ role, prompt }\` |
### Special Nodes
- \`$START\` — entry point; uses status keys \`new\` (first start) and \`resume\` (resuming a completed thread)
- \`$END\` — terminal node; thread completes when reached
### Edge Prompts
Prompts use triple-brace Mustache templates (\`{{{field}}}\`) to interpolate values from the previous step's output. Example: \`"Implement plan {{{plan}}} in repo {{{repoPath}}}."\`
`;
}