Songhaoz666andClaude Opus 4.8
f281370209
把本仓从「Master 分解→派发→单评审」重构为去中心化自组织蜂群，并设为唯一行为
（本仓即 swarm 运行时，模式选择在仓外，无 ENABLE_swarm 开关）。依据：heicodeDocs 弱中心
定义 + 蜂群文章（stigmergy）+ OpenAI Swarm（handoff）。
流程（全部无条件生效）：
- 播种 build_seed_task_specs（不主控分解）→ 自选 swarm_dispatch（能力+τ+负载+预算，唯一派发）
→ 自主分解 task_proposal（autonomous_tasks）→ 竞争/接管 task_bid/yield/takeover（task_competition）
→ 同伴交叉评审 ≥2 评审者（cross_review，取代单 critic）→ 收敛 ConvergenceReport+termination_reason
（convergence）→ 守卫 guard.diagnose（检测无法运作并列原因）。
删除：planner 主控分解、贪心/ACO/scored 派发与 scored_matchmake、单 critic 评审环、
全部 ENABLE_* swarm 构建开关。master_agent.synthesize 作为汇总工具保留。
测试：test-workflow-e2e 改写为真实 swarm 全流程；test-merge-smoke 改为 seeder/cross-review；
新增 test-swarm-{seed,dispatch,autonomous,competition,cross-review,convergence,guard} + 模块单测；
CI 同步。本地 18 套全绿。
影响范围：agent_swarm（orchestrator + 新模块 + 测试 + docs + CI）。不改 Manager↔Swarm 事件契约
（新事件均为运行时内部状态/遥测，不进 HM 注册表）；不影响 Client/计费/密钥/审计/发布链路。
无新增长期开关。
诚实边界：不动 benchmark 验收（G_E 仍需真实 run，#13）；convergence 暂为解释性（不强制覆盖
run.status）；前端可见状态为跨端（#18）；「去中心化是否更优」未证（需 Group C）。
#6 的 DoD（Path B 决策 + 定位文档）本 PR 已满足并实现 Path B → 关闭 #6。
#7/#8/#11/#12 的运行时机制已落地（事件 + e2e），但其 DoD 含前端可见状态（跨端 #18）与
多 Agent 回放，故以 Refs 链接、不自动关闭，留维护者在前端/验收就绪后关闭。
Closes #6
Refs #7
Refs #8
Refs #11
Refs #12
Refs #18
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
52 lines
1.9 KiB
Python
52 lines
1.9 KiB
Python
"""Unit test for the decentralized-rework seeder (build_seed_task_specs, #6 Path B / P2).
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The seeder turns an objective into ONE seed task with NO up-front Master decomposition. This tests
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the pure function; wiring it as the swarm-only task-creation path (deleting the planner fallback)
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happens at P-cutover once agent-driven decomposition (#7) exists — see
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docs/swarm/decentralized-rework-plan.md. No flag, no Redis, no model.
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Run from agent_swarm_v6:
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python scripts/test-swarm-seed.py
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"""
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
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from orchestrator.main import build_seed_task_specs
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failures = []
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def check(name, cond):
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print(("PASS" if cond else "FAIL"), "-", name)
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if not cond:
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failures.append(name)
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class _StubRun:
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"""Minimal stand-in: build_seed_task_specs only reads run.objective."""
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objective = "Build a CSV parser with tests and docs"
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specs = build_seed_task_specs(_StubRun(), body={}, base_specs=[])
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check("seeds exactly ONE task", len(specs) == 1)
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seed = specs[0] if specs else {}
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check("source = 'seed'", seed.get("source") == "seed")
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check("carries the objective", "CSV parser" in (seed.get("description") or ""))
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check("no required capabilities (any agent may self-select)", seed.get("required_capabilities") == [])
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check("workflow_mode = swarm", seed.get("workflow_mode") == "swarm")
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check("context marks is_seed + objective",
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(seed.get("context") or {}).get("is_seed") is True and (seed.get("context") or {}).get("objective"))
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check("no depends_on (it's the root seed)", seed.get("depends_on") == [])
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# The seeder is a PURE spec builder — it must not itself decompose / call any planner.
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check("seeder does not pre-decompose (single root task only)",
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len(specs) == 1 and seed.get("root_task_id") == "seed")
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print()
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if failures:
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print(f"{len(failures)} seeder (P2) check(s) FAILED: {failures}")
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sys.exit(1)
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print("all swarm seeder (P2) unit checks passed")
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