LYGO API Token Saver

核心功能：优先调用本地Ollama模型，启用备用API密钥，压缩大提示词，优化Agent行为减少冗余调用，按需使用付费前沿模型。典型场景：用户提及“token saver”等关键词时，或长Grok/Claude/GPT调用前触发；处理大文档、批量任务时。输入为用户指令或触发词，输出为优化后的调用执行结果。

deepseekoracle

热度 11.84

最近更新 2026-07-13 13:29:12

分类：开发依赖：代码执行 / 读写文件 / 第三方 API / MCP 服务 / 内部调用大模型应用场景：API 集成 / 自动化脚本 / DevOps

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add lygo-api-token-saver

Metadata

name: lygo-api-token-saver
description: Minimize pay-to-go xAI/API token spend. Use when user says token saver, save tokens, API budget, pay-to-go burn, or before long Grok/Claude/GPT calls. Prefer local Ollama army; Biophase7 alt xAI key; compact agent behavior.
metadata: {"lygo":true,"budget":true,"ollama":true,"signature":"Δ9Φ963-TOKEN-SAVER-v1"}

LYGO API token saver

API key order (Biophase7)

Never paste keys in chat or commits.
Load vault: python tools/load_biophase7_vault.py → uses XAI_API_KEY_ALT before XAI_API_KEY_MAIN.
Frontier harness / probes: default --models stack only; add grok only when user explicitly needs frontier rows.
Set LYGO_OPENAI_FRONTIER_MODEL only when OpenAI runs are required.

pxpipe-LYGO (vision context compression)

When prompts/tool dumps are huge and byte-exact hashes are not the focus:

cd lygo-protocol-stack
pip install -r requirements-pxpipe.txt
python tools/run_pxpipe_lygo_proxy.py

See docs/BIOPHASE7_PXPIPE_LYGO.md and skill lygo-pxpipe-lygo. Agent one-liner:

python tools/pxpipe_lygo_for_agent.py --shrink-file <huge.txt> --target grok

Do not compress secrets, seeds, or diff-critical line numbers.

Prefer local silicon (zero API tokens)

# Ollama army cron + queue (127.0.0.1 only)
cd "%LYGO_STACK_ROOT%\.grok\skills\lygo-ollama-army\ollama_command_center\scripts"
python army_cron_once.py

Drafting, summarizing repo files, grep/explore: spawn_subagent explore or local Ollama — not main chat API for bulk read.
LFW path: lyra_failsafe() → LYGO_LFW_FALLBACK_MODEL on Ollama when cloud throttled.

Agent behavior (Grok Build)

Do	Don't
Short replies; tables over prose	Re-summarize full session history
`grep` + `read_file` with `offset/limit`	`read_file` entire 3k-line trees
One `spawn_subagent` for execute batches	Many sequential full-context turns
`todo_write` only for 3+ steps	Narrate every tool call
Cache paths in one line ("see `path`")	Repeat URLs and commit hashes twice
`background: true` for HF push / long tests	Block chat on 10min uploads
Stop when task done	"Resonance forward" essays

Frontier harness (metered)

python tools/run_falsifiable_vector_test.py --load-vault --models stack
# API spend only if asked:
python tools/run_falsifiable_vector_test.py --load-vault --models grok --limit 3

Full 60× Grok ≈ high token + latency cost — require explicit user consent.

User phrases → mode

"token saver" / "pay to go" → stack-only tools, Ollama army, alt xAI, minimal chat output.
"push all" → one subagent; don't re-read diff in main thread.

Self-check

python -c "import os; print('alt' if os.environ.get('XAI_API_KEY_ALT') else 'no-vault')"

Install companion: lygo-ollama-army, lygo-protocol-stack-operator.