Educational tool demonstrating IDE bypass techniques for Kiro IDE.
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Updated
Dec 24, 2025 - Python
Educational tool demonstrating IDE bypass techniques for Kiro IDE.
Information on LLM models, context window token limit, output token limit, pricing and more.
Parallel model rotation across any CLI. Auto-discovers models, health-checks in <2s, scores by capability+cost, picks the best for every task.
Zero-config proxy that stops runaway LLM agents from burning your API budget. Pre-calc tokens, dedup requests, circuit breaker—no code changes. Works with OpenClaw, Nanobot, any OpenAI-compatible client.
Windows skill for ChatGPT Work Local & Codex Desktop/Local: configure context window token limits, effective percentages and auto-compaction thresholds. Global/per-model settings, preview, backup and restore. No Python setup. 本地上下文窗口调整技能:自定义Token上限、有效比例、自动压缩阈值,支持全部或指定模型、预览、备份恢复;无需安装Python。
Keep long OpenCode sessions alive: trim oversized model requests so they fit the context window, without producing an invalid request.
I Asked It to Forget, but It Didn't — A Case of Miscommunication Between AI and Humans
☠️ Killswitch - Keep Pi runs controlled with automatic context-budget wrap-up and kill thresholds.
To associate your repository with the token-limit topic, visit your repo's landing page and select "manage topics."