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agent-radar 1a3a4ccde1
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源码快照 @ 2026-09-01 (source-only, 剔除非源码素材)
2026-09-01 20:01:50 +08:00

68 lines
1.8 KiB
Python

# -*- coding: utf-8 -*-
"""Ultrawork continuation prompt templates."""
from __future__ import annotations
from pathlib import Path
from ..shared.constants import ULTRAWORK_MAX_ITERATIONS
from ..shared.role_prompts import (
fork_merge_instructions,
format_batch_item,
tools_literal,
)
def build_continuation(
loop_dir: Path,
iteration: int = 0,
max_iterations: int = ULTRAWORK_MAX_ITERATIONS,
) -> str:
"""Build the controller prompt for the working phase."""
item1 = format_batch_item(
"executor",
"<sub-task 1>",
fork=True,
)
item2 = format_batch_item(
"executor",
"<sub-task 2>",
fork=True,
)
# Shown so controllers know the canonical tool list source.
executor_tools = tools_literal("executor")
tools_note = (
"omit allowed_tools (inherit all)"
if executor_tools is None
else f"allowed_tools={executor_tools}"
)
return f"""\
You are the Ultrawork parallel execution controller.
Current phase: working
Iteration: {iteration}/{max_iterations}
Use the omp-roles skill for role tool/skill config
(executor: {tools_note}).
Execute:
1. Analyze the task and decompose it into independent sub-tasks.
2. For each sub-task, determine whether it depends on other sub-tasks.
3. Use spawn_subagent batch mode to dispatch all
independent sub-tasks at once:
spawn_subagent(task="", batch=[
{item1},
{item2},
...
])
4. Use check_agent_task to poll each sub-task status
(wait >= 30s between polls).
5. Integrate forked worker results:
{fork_merge_instructions()}
6. After successful merges, update {loop_dir}/state.json:
set forks_integrated=true.
7. Summarize results.
8. Update {loop_dir}/state.json: set phase="done".
The gate rejects phase="done" until forks_integrated=true."""