Goal Agent PRO Swarm

Autonomous Goal Decomposition & Distributed Execution Engine
Agent Ready · 03:48 · 7 tasks queued
Worker: 4 Nodes RAM: 1.4GB TPS: 84.5 tok/s

目标分解图谱

3/7 完成 (43%)
ROOT GOAL
为出版业做 30 个 prompt 的网页生成能力压力测试
#benchmark #publishing #stress-test
✓
设计 10 个 L1-L2 基础 prompt
已完成 (12s)
✓
跑 grok + agy 跑批
20/20 成功
✓
清洗产物
1.4MB 清理
⏳
设计 20 个 L3-L4 深入 prompt
进行中 (14/20)
⏸
m3 swarm 跑 40 任务
等待中
⏸
写综合报告
等待中
⏸
发布到 share 站
等待中
agy-worker-daemon #04 STDOUT
LIVE STREAM
[03:45:10] [SYSTEM] Goal Agent Runtime v2.4 initialized. Swarm cluster: 4 worker nodes online.
[03:45:12] [PLANNER] Objective accepted: "为出版业做 30 个 prompt 的网页生成能力压力测试"
[03:45:14] [DECOMPOSE] DAG Pipeline resolved with 7 execution units. Critical path latency estimate: 180s.
[03:45:15] [EXEC:T1] $ agy prompt-gen --domain=publishing --tier=L1,L2 --count=10 --seed=9842
[03:45:27] [T1_DONE] ✓ Generated 10 basic prompts (Book Catalogue, Author Bio, Order Form, Sample Reader).
[03:45:28] [EXEC:T2] $ agy batch-runner --models=grok-beta,agy-pro-v2 --input=./artifacts/p_l1_l2.json --concurrency=4
[03:46:10]
[METRICS]
{ "total_runs": 20, "pass": 20, "avg_ttft_ms": 312, "dom_validity": "100%" }
[03:46:13] [T2_DONE] ✓ Batch execution finished with zero fatal parse errors across all browser render targets.
[03:46:14] [EXEC:T3] $ python3 ./tools/sanitize_dom.py --target-dir=./raw_runs --output=./cleaned/
[03:46:18] [T3_DONE] ✓ Cleaned 20 HTML bundle outputs (CSS deduplicated, total payload: 1.42MB).
[03:46:19] [EXEC:T4] ⏳ [TASK 4/7 START] Generating 20 deep stress prompts (L3: Complex Multi-column & L4: Math/SVG/CJK).
[03:47:05] [SWARM-02] Synthesizing Prompt #12: "古籍影印与现代简体双栏对照排版 + 竖排古籍注疏浮窗系统"
[03:47:48] [SWARM-04] Synthesizing Prompt #13: "科技学术期刊 LaTeX 级复杂公式渲染器 + 动态引文树状联动"
[03:48:10] [INSPECT] Safety & AST evaluation completed for prompts #01~#14: [ALL PASS 100%]
[03:48:42] [IN_PROGRESS] >> Task 4/7 (14/20 prompts completed) · Preview artifact: https://share.agy.internal/runs/bench-pub-77a8.html