算法艺术创作
algorithmic-art
通过代码和可调参数创作生成艺术与交互式视觉效果。
manage-token-budget【设计与创意】Monitor, cap, and recover from context accumulation in agentic systems. Covers per-cycle cost tracking, context window auditing, budget caps with enforcement policies, emergency pruning when approaching limits, and progressive disclosure integration to minimize token spend on routing. Use when running long-lived agent loops (heartbeats, polling, auto…
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控代理系之費與脈絡跡,每周追詞元用、查何耗脈絡、限預算、迫時刪低值、入錄前用元數而行漸顯。要旨:脈絡中每詞元當應其位。助決者留,佔位無功者去。
群中之證:三十七時自運費 $13.74,由三十分心跳、繁系令、無控脈絡累而生。修法:心跳改四時、用通知模、廢餵流瀏。此技刻防斯類事之模。
裝代理環,使每運界皆錄詞元用。
每周(心跳、輪、任)捕:
存於結構日誌(JSON 行、CSV、庫)——非脈絡視窗中:
{"cycle": 47, "ts": "2026-03-12T14:30:00Z", "trigger": "heartbeat",
"input_tokens": 18420, "output_tokens": 2105, "cost_usd": 0.0891,
"cumulative_cost_usd": 3.42}
若系無裝,自 API 賬估:
得: 顯每周詞元數與費之日誌,粒度足以識何周貴與其因。日誌身居脈絡外。
敗則: 若準詞元數不可得(某 API 不返用元),用賬板導均。粗追(日費 / 日周數)亦顯勢。若全無追,赴第二步從脈絡審入手——可由脈絡大估費。
量何佔脈絡視窗,依大序耗者。
分脈絡為其諸件量之:
生脈絡預算表:
Context Budget Audit:
+------------------------+--------+------+-----------------------------------+
| Component | Tokens | % | Notes |
+------------------------+--------+------+-----------------------------------+
| System prompt | 4,200 | 21% | Includes CLAUDE.md chain |
| Memory (auto-loaded) | 3,800 | 19% | MEMORY.md + 4 topic files |
| Tool schemas | 2,600 | 13% | 3 MCP servers, 47 tools |
| Active skill procedure | 1,900 | 9% | Full SKILL.md loaded |
| Conversation history | 5,100 | 25% | 12 prior turns |
| Current cycle content | 2,400 | 12% | Tool outputs from this cycle |
+------------------------+--------+------+-----------------------------------+
| TOTAL | 20,000 | 100% | Model limit: 200,000 |
| Remaining headroom |180,000 | | |
+------------------------+--------+------+-----------------------------------+
旗識比決策值不成比例之件。當前任不引之四千詞元記檔純為冗。
得: 序列表顯每脈絡耗者、其大、其視窗百分比。至少一件當顯為削之候——多為對話史或繁工具出。
敗則: 若每件準詞元數難得,英文用字數 / 4 估。結構數(JSON、YAML)用字數 / 3。要在相對序,非準量。
定硬軟限,明每限觸時為何。
軟限(警閾):常為硬限六七至七五成。觸則:
硬限(停閾):最大費或脈絡大。觸則:
每周限:單周最大詞元或費。防一逸周耗整預算:
文檔限於工作流配:
token_budget:
soft_limit_usd: 5.00 # warn and begin pruning
hard_limit_usd: 10.00 # halt and alert
per_cycle_cap_usd: 0.50 # max per individual cycle
soft_limit_pct: 70 # % of context window triggering pruning
hard_limit_pct: 90 # % of context window triggering halt
enforcement: strict # strict = halt on hard limit; advisory = log only
alert_channel: notification # how to notify the operator
得: 三層(軟、硬、每周)已文檔之預算限附明確施。策答「至限時為何」於至限前。
敗則: 若準金限未成熟(新流未知費形),先用脈絡百分限(軟 70%、硬 90%),追費 24-48 時後加金限。校驗期間勸告模(錄而非停)可。
至限時系統棄低值脈絡以居預算內。
刪先序(最低值先去):
每刪存一行墓碑:
[PRUNED: 2,400 tokens of npm audit output from cycle 12 — 3 vulnerabilities found, all patched]
墓碑費約二十詞元,然存決相關之結。
得: 刪後脈絡用降至軟限下。每刪有墓碑存其結。決關信息無失——只去已成決後之證。
敗則: 若刪至四級仍逾軟限,流於當前周頻根本太重。升至人操作者:「刪後脈絡用 N%。選:(甲)增周距,(乙)減每周範,(丙)分子流,(丁)受高費」。
載全技法前先過錄元數——費於路非閱。
模:
_registry.yml 讀技之錄條(id、述、域、難、籤)——約 3-5 行、約 50 詞元施同模於他大脈絡載:
Without progressive disclosure:
Load 5 candidate skills → 5 × 1,500 tokens = 7,500 tokens → use 1 skill
With progressive disclosure:
Route through 5 registry entries → 5 × 50 tokens = 250 tokens
Load 1 matched skill → 1 × 1,500 tokens = 1,500 tokens
Total: 1,750 tokens (77% reduction)
得: 載技循二段模:經元數輕路,唯驗合方全載。同模施於記、工具規、檔內容。
敗則: 若錄元數不足以路(述太泛、籤缺),改錄條而非棄漸顯。修在元數佳,非載更多脈絡。
依費數設運距,非依無據之程。
算當前周距之每時費:
cost_per_hour = avg_cost_per_cycle × cycles_per_hour與預算比:
hours_until_hard_limit = (hard_limit - cumulative_cost) / cost_per_hour定最小有效距:
施距:
Before: 30-minute heartbeat, verbose processing
→ 48 cycles/day × $0.09/cycle = $4.32/day
After: 4-hour heartbeat, notification-only
→ 6 cycles/day × $0.04/cycle = $0.24/day
→ 94% cost reduction
得: 周距由費數證之,合監系刷新率。距-費衡已文檔以為後調基線。
敗則: 若系需低延而不容長距,改減每周費(縮系令、減載工具規、縮史)。預算式有二槓:頻與每周費。
確諸控皆作,系居預算內運。
Budget Validation Report:
+-----------------------+----------+--------+
| Check | Expected | Actual |
+-----------------------+----------+--------+
| Per-cycle logging | Present | |
| Soft limit warning | Fires | |
| Hard limit halt | Halts | |
| Per-cycle cap | Truncates| |
| Progressive disclosure| Routes | |
| Daily cost projection | < $X.XX | |
+-----------------------+----------+--------+
得: 五控(追、軟限、硬限、每周限、漸顯)皆驗作。費投居擬預算內。
敗則: 若控不起,察施機嵌於實運環,非僅文檔。配無施為謀非控。若費投逾預算,回第六步調周距或每周費。
assess-context — 評推理脈絡之構健;補第二步脈絡視窗審metal — 自庫提概念精;漸顯模施於 metal 之探階chrysopoeia — 提值與棄死重;於碼層施同每詞元值思manage-memory — 整與刪持久記檔;直減脈絡預算之記件