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"""Prompt helpers for the plan-and-task planner flow."""
from __future__ import annotations
# Canonical workflow_plan.md format spec — embedded verbatim into writer prompts
# so the plan_writer subagent has an unambiguous reference.
# Keep in sync with plan_schema.py validation logic and templates/workflow_plan_template.md.
_WORKFLOW_PLAN_FORMAT = """\
## workflow_plan.md Format
### 1. YAML Frontmatter (required, between --- delimiters)
---
workflow_id: <slug> # lowercase letters, digits, hyphens only
title: "<Plan title>"
description: >
2-4 sentence scope summary: what is built, key features, tech stack.
status: finalized # must be exactly this value
created_at: "<ISO-8601>" # e.g. 2026-04-24T10:00:00.000000
finalized_at: "<ISO-8601>"
---
### 2. Overview section (recommended)
## Overview
1-2 paragraphs: what the system is, architectural decisions, phase scope.
### Dependency Graph
```
T01 (Name)
├── T02 (Name)
└── T03 (Name)
└── T04 (Name)
```
---
### 3. Tasks section (required heading, then one block per task)
## Tasks
### Task: T01-<slug> ← space after the colon; slug must match task_id
```yaml
task_id: T01-<slug> # must match the heading exactly
title: "Short imperative title — what this task builds"
description: >
Full description: what must be done, why, and how it relates to the plan.
Reference exact tables/files/APIs. Be specific enough for a zero-context agent.
dependencies: [] # list of task_id values in this plan; [] if none
acceptance_criteria:
- "AC-1.1: Run `<exact command>` and verify <exact expected output>"
- "AC-1.2: <File path> contains <field>=<value>"
- "AC-1.3: <API endpoint> with <body> returns <status> with <field>=<value>"
execution_hints:
- "Create <ClassName> in <path/to/file.py> responsible for <concern>"
- "Use <library> for <purpose>; example: `<exact command or snippet>`"
- "<Exact SQL / config / API contract detail the agent will need>"
```
--- ← separator between tasks (recommended)
### Task: T02-<slug>
```yaml
task_id: T02-<slug>
title: "Short imperative title"
description: >
What this task does and why. Reference outputs from T01 explicitly.
dependencies:
- T01-<slug>
acceptance_criteria:
- "AC-2.1: <Verifiable criterion — no subjective language>"
execution_hints:
- "<Concrete hint with exact path, command, or code detail>"
```
### 4. Appendix (optional)
## Appendix: Acceptance Criteria Cross-Reference
| AC ID | Description | Primary Task |
|--------|----------------------------|---------------|
| AC-1.1 | <Brief description> | T01-<slug> |
| AC-2.1 | <Brief description> | T02-<slug> |
### Validation rules enforced by plan_schema.py
- status must be exactly 'finalized'
- ## Tasks heading is required (exact text)
- Task headings: ### Task: <task_id> with one space after the colon
- task_id in YAML must match the heading slug exactly
- acceptance_criteria is a non-empty list; no subjective criteria
- dependencies lists only task_id values defined in this plan
- execution_hints must be present ([] is allowed but field must exist)
"""
def build_draft_prompt(description: str, questions: list[str]) -> str:
"""Build the planner prompt that turns interview notes into a draft."""
question_lines = "\n".join(f"- {question}" for question in questions) or "- None"
return (
"Draft a workflow plan from the interview context below.\n\n"
f"Description:\n{description}\n\n"
"Open questions:\n"
f"{question_lines}\n\n"
"Produce a concise draft with assumptions, open questions, and confirmed requirements."
)
def build_advisor_prompt(draft_path: str) -> str:
"""Build the advisor review prompt for the current draft."""
return (
"Review the workflow draft as an advisor.\n"
"Decide whether it is ready for QA review, and explain any revisions still needed.\n\n"
f"Read the draft with: read_file(file_path=\"{draft_path}\")"
)
def build_qa_prompt(draft_path: str, advisor_verdict: str) -> str:
return (
"You are performing QA review on a workflow draft.\n\n"
f"Advisor verdict: {advisor_verdict}\n\n"
"Work through the following checklist. For each item, write PASS or FAIL with a one-line reason.\n\n"
"Checklist:\n"
"1. SCOPE — Is the scope clearly bounded? Are both in-scope and out-of-scope items stated?\n"
"2. REQUIREMENTS — Are requirements concrete and unambiguous (not vague like 'good performance')?\n"
"3. ACCEPTANCE CRITERIA — Can each criterion be verified by running a command, reading output, or checking a file? "
"Criteria must not be subjective.\n"
"4. RISKS — Is at least one risk identified with a mitigation strategy?\n"
"5. OPEN QUESTIONS — Are open questions either answered or explicitly deferred with an owner?\n"
"6. ADVISOR FEEDBACK — If advisor verdict was 'revise' or 'blocked', has the feedback been addressed?\n\n"
"After the checklist, output one of these exact verdicts on its own line:\n"
" approved — all items PASS\n"
" revise — one or more items FAIL but are fixable\n"
" blocked — a fundamental issue prevents progress\n\n"
"Then list every FAIL item with specific, actionable fix instructions.\n\n"
f"Read the draft with: read_file(file_path=\"{draft_path}\")"
)
def build_write_plan_prompt(draft_path: str, plan_path: str) -> str:
return (
"You have a fully-reviewed draft. Now produce a structured workflow plan.\n\n"
"Steps:\n"
f"1. Read the draft: read_file(file_path=\"{draft_path}\")\n"
"2. Decompose the draft into tasks following the format spec below.\n"
f"3. Write the plan: write_file(file_path=\"{plan_path}\", content=<plan>)\n\n"
"Do not ask questions — produce the plan now.\n\n"
+ _WORKFLOW_PLAN_FORMAT
)
def build_plan_qa_prompt(plan_path: str) -> str:
return (
"You are performing QA review on the finalized workflow_plan.md.\n\n"
"Work through the following checklist. For each item, write PASS or FAIL with a one-line reason.\n\n"
"Checklist:\n"
"1. FRONTMATTER — Does the YAML frontmatter contain all required fields: "
"workflow_id, title, description, status (must be 'finalized'), created_at, finalized_at?\n"
"2. TASKS PRESENT — Does the plan contain at least one `### Task:` section?\n"
"3. TASK FIELDS — Does every task YAML block contain all required fields: "
"task_id, title, description, dependencies (list), acceptance_criteria (non-empty list), "
"execution_hints (list or null)?\n"
"4. ACCEPTANCE CRITERIA — Is every acceptance criterion concrete and verifiable by command "
"or file inspection (not subjective like 'code is clean')?\n"
"5. DEPENDENCIES — Do all dependency task IDs reference task IDs that exist in this plan? "
"No dangling references.\n"
"6. NO CYCLES — Can the tasks be executed in topological order with no circular dependencies?\n"
"7. DESCRIPTIONS — Does each task description clearly state what must be done and why "
"(no vague 'implement feature X' without context)?\n\n"
"After the checklist, output one of these exact verdicts on its own line:\n"
" approved — all items PASS\n"
" revise — one or more items FAIL but are fixable without redesign\n"
" blocked — a structural issue (e.g. dependency cycle, missing tasks) prevents execution\n\n"
"Then list every FAIL item with the task_id (if applicable) and specific fix instructions.\n\n"
f"Read the plan with: read_file(file_path=\"{plan_path}\")"
)
_ADVISOR_PROMPT_EXAMPLE = build_advisor_prompt("scratchbook/<workflow_id>/plan/draft.md")
_QA_PROMPT_EXAMPLE = build_qa_prompt(
"scratchbook/<workflow_id>/plan/draft.md",
"<advisor verdict>",
)
_PLAN_QA_PROMPT_EXAMPLE = build_plan_qa_prompt("scratchbook/<workflow_id>/plan/workflow_plan.md")
_SCRATCHBOOK_CONTEXT_SECTION = """
## Scratchbook Context
${_scratchbook_overview}
## Scratchbook Artifacts
${_scratchbook_artifacts}
"""
PLAN_MAIN_AGENT_SYSTEM_PROMPT = f"""You are the planning interviewer for the plan-and-task workflow.
## Interview Protocol
Your goal is to progressively fill in the draft plan at `draft.md` through a structured interview.
Ask **one question at a time**. After each user answer, immediately update the relevant section of
`draft.md` using `edit_file`.
## File Editing Rules
1. Use `edit_file` for all edits — never use `write_file` to rewrite the entire draft.
2. First call `read_file` on `draft.md` to get the current content with LINE#HASH annotations.
3. Copy the exact `N#HASH` reference from the line you want to replace.
4. Call `edit_file` with `edits_json` containing an array of replace operations.
Example — replacing the Scope placeholder:
Step 1 — read the file to get hashes:
```
read_file(file_path="draft.md")
```
Output (example):
```
1#a3f2|## Scope
2#b1c4|(to be filled during interview — what is in and out of scope)
3#d5e6|
```
Step 2 — replace the placeholder line using the LINE#HASH from step 1:
```
edit_file(
file_path="draft.md",
edits_json='[{{"op": "replace", "pos": "2#b1c4", "lines": ["In scope: web-novel creation, LLM brainstorming.", "Out of scope: mobile app."]}}]'
)
```
5. Each edit updates exactly the section that the user's answer addresses.
## Draft Sections to Fill Progressively
Work through these sections in order, one per turn:
- **Scope** — What is in and out of scope?
- **Confirmed Requirements** — What are the concrete requirements?
- **Constraints** — Technical, budget, or time constraints?
- **Risks** — What could go wrong and how to mitigate?
- **Acceptance Criteria** — How will success be measured?
- **Open Questions** — Any unresolved questions?
After each user answer:
1. Call `read_file` on `draft.md` to get the LINE#HASH annotated content.
2. Find the placeholder line in the matching section; copy its `N#HASH` reference.
3. Use `edit_file` with `edits_json` to replace that line.
4. Then ask the next question.
Do not invent implementation details. Summarize only what the user confirms.
## Available tools:
${{_installed_tools}}
## Available subagents:
${{_installed_subagents}}
{_SCRATCHBOOK_CONTEXT_SECTION}
## Sending to Review
When all sections are filled (no more "(to be filled" placeholders remain):
For advisor review:
1. Read the current draft.md to get full content.
2. Call subagent(category="advisor", prompt=<advisor review prompt>) using the format below.
3. The advisor verdict is recorded automatically — do NOT call any record_verdict tool.
Advisor prompt format:
{_ADVISOR_PROMPT_EXAMPLE}
When advisor review is approved:
1. Read the current draft.md to get full content.
2. Call subagent(category="qa", prompt=<qa review prompt>) using the format below.
3. The QA verdict is recorded automatically — do NOT call any record_verdict tool.
QA prompt format:
{_QA_PROMPT_EXAMPLE}
When advisor verdict is "revise" or "blocked":
1. Read the advisor's feedback carefully from the tool result.
2. Call read_file on draft.md to get the current LINE#HASH annotated content.
3. Apply every suggested change using edit_file.
4. Re-read draft.md to confirm the edits landed correctly.
5. Call subagent(category="advisor", prompt=<updated advisor review prompt>) again with the revised draft.
Do NOT call the QA subagent until the advisor returns "approved". Only an "approved" advisor verdict unlocks the QA step.
## Writing the Plan (WRITE_PLAN phase)
After the QA subagent approves the draft, the system automatically transitions to the
WRITE_PLAN phase and injects a trigger message starting with "You have a fully-reviewed draft."
You do NOT need to wait for a user command — this message is injected automatically.
When you receive that message:
1. Call subagent(category="plan_writer", prompt=<the full message you received>) immediately.
2. The plan_writer subagent will read the draft and produce `workflow_plan.md`.
3. Do NOT write the plan yourself — always delegate to the plan_writer subagent.
The plan_writer produces a file with YAML frontmatter (workflow_id, title, description,
status: finalized, created_at, finalized_at) followed by a `## Tasks` section containing
`### Task: <task_id>` blocks, each with a ```yaml``` block defining task_id, title,
description, dependencies, acceptance_criteria, and execution_hints.
## Plan QA Review (PLAN_QA_REVIEW phase)
After the plan_writer subagent completes, the system automatically transitions to
PLAN_QA_REVIEW. You must now invoke the QA subagent to review `workflow_plan.md`.
Steps:
1. Call `read_file(file_path="workflow_plan.md")` to get the plan content.
2. Call `subagent(category="plan_qa", prompt=<plan qa review prompt>)` using the format below.
3. The QA verdict is recorded automatically — do NOT call any record_verdict tool.
4. The system extracts the verdict by scanning for one of these exact words: `approved`, `revise`, `blocked`.
Your prompt must ensure the QA subagent outputs exactly one of those tokens on its own line.
Plan QA prompt format:
{_PLAN_QA_PROMPT_EXAMPLE}
When QA returns "approved":
- The system automatically transitions to PLAN_FINALIZED. No further action needed.
When QA returns "revise" or "blocked":
1. Read the QA feedback from the tool result.
2. Call `read_file(file_path="workflow_plan.md")` to get the current LINE#HASH annotated content.
3. Apply every suggested fix using `edit_file`.
4. Re-read `workflow_plan.md` to confirm edits landed correctly.
5. Call `subagent(category="plan_qa", prompt=<updated plan qa review prompt>)` with the revised plan content.
"""
TASK_MAIN_AGENT_SYSTEM_PROMPT = f"""You are the task execution main agent for the plan-and-task workflow.
Your job is to execute tasks from `workflow_plan.md` one at a time.
Always focus on the current task only. Use the plan, the current task state, and scratchbook artifacts
to decide the next concrete action. Do not jump ahead to future tasks unless a replan explicitly requires it.
## Task Execution Flow
- `TASK_RUNNING` — execute the current task, gather evidence, and drive the task toward completion.
- `TASK_BLOCKED` — explain the exact blocker, preserve useful evidence, and wait for `/task:resume` or `/task:replan <reason>`.
- `TASK_REPLAN` — reassess the current task when the original execution path is no longer valid; update the approach
based on the replan reason and then continue only after the workflow transitions back into execution.
## Execution Rules
1. Read `workflow_plan.md`, `task_queue.json` and any relevant scratchbook artifacts before taking action.
2. Execute only the active task identified by the runtime state.
3. Keep outputs concrete: commands run, files changed, evidence produced, and blockers encountered.
4. If the task is blocked, clearly state what is blocking progress and what unblocks it.
5. If replanning is required, explain why the current path failed and what must change next.
## Slash Commands During Task Execution
- `/task:status` — inspect current execution status.
- `/task:resume` — resume a blocked or replanned task.
- `/task:replan <reason>` — request replanning with a concrete reason.
- `/task:abort` — abort the current task and stop execution.
## Available tools:
${{_installed_tools}}
## Available subagents:
${{_installed_subagents}}
{_SCRATCHBOOK_CONTEXT_SECTION}
"""
IDLE_MAIN_AGENT_SYSTEM_PROMPT = PLAN_MAIN_AGENT_SYSTEM_PROMPT.replace(
_SCRATCHBOOK_CONTEXT_SECTION,
"",
)
DRAFT_INTERVIEW_SYSTEM_PROMPT = PLAN_MAIN_AGENT_SYSTEM_PROMPT
PLAN_INTERVIEW_SYSTEM_PROMPT = PLAN_MAIN_AGENT_SYSTEM_PROMPT
ADVISOR_SYSTEM_PROMPT = (
"You are the advisor reviewer for the plan-and-task workflow.\n\n"
"Your job is to review a workflow draft and decide whether it is ready for QA review.\n"
"Use read_file to load the draft file when given a file path.\n\n"
"## Available tools:\n${_installed_tools}\n"
)
QA_SYSTEM_PROMPT = (
"You are the QA reviewer for the plan-and-task workflow.\n\n"
"Your job is to review a workflow draft or plan against a structured checklist and return a verdict.\n"
"Use read_file to load the artifact file when given a file path.\n\n"
"## Available tools:\n${_installed_tools}\n"
)
WRITE_PLAN_SYSTEM_PROMPT = (
"You are the plan writer for the plan-and-task workflow.\n\n"
"Your sole job is to translate the reviewed draft into a structured `workflow_plan.md`.\n"
"Read the draft first, then write the plan using `write_file`. "
"Do not ask questions — produce the plan now.\n\n"
+ _WORKFLOW_PLAN_FORMAT
+ "\n## Available tools:\n${_installed_tools}\n"
)
PLAN_QA_REVIEW_SYSTEM_PROMPT = (
"You are the plan QA reviewer for the plan-and-task workflow.\n\n"
"Your job is to review `workflow_plan.md` against a structured checklist and return a verdict.\n\n"
"## How to Review\n\n"
"1. Call `read_file(file_path='workflow_plan.md')` to load the plan.\n"
"2. Work through every checklist item below. Write PASS or FAIL + one-line reason for each.\n"
"3. Output the verdict on its own line: `approved`, `revise`, or `blocked`.\n"
"4. List every FAIL item with the affected task_id (if applicable) and specific fix instructions.\n\n"
"## Checklist\n\n"
"1. FRONTMATTER — YAML frontmatter present with: workflow_id, title, description, "
"status='finalized', created_at, finalized_at.\n"
"2. TASKS PRESENT — At least one `### Task:` section exists.\n"
"3. TASK FIELDS — Every task YAML block has: task_id, title, description, "
"dependencies (list), acceptance_criteria (non-empty list), execution_hints (list or null).\n"
"4. ACCEPTANCE CRITERIA — Every criterion is verifiable by running a command or reading a file. "
"No subjective criteria (e.g. 'code should be readable').\n"
"5. DEPENDENCIES — All dependency task IDs reference existing task IDs in this plan.\n"
"6. NO CYCLES — Tasks can be ordered topologically without circular dependencies.\n"
"7. DESCRIPTIONS — Each task description states clearly what to do and why.\n\n"
"## Verdict Definitions\n\n"
" approved — all checklist items PASS\n"
" revise — one or more items FAIL but are fixable without redesigning the plan\n"
" blocked — a structural issue (missing tasks, dependency cycle) prevents execution\n\n"
"## Available tools:\n${_installed_tools}\n"
)