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llmtrim

fkiene/llmtrim

Local proxy that compresses your LLM API requests so you pay less, with no change to the answers. Trims wasted tokens from prompts, history, tool output, and code before they're sent: -31% input / -74% output, measured live. Any provider, no extra model calls. Also an MCP server and embeddable library (Rust, Python, Ruby, Kotlin, Swift, JS/TS).

根据公开文档整理，未运行实测；费用以项目官网为准。Based on public documentation, without runtime testing. Check the project site for pricing.

适用平台Platforms: claude-code · claude-ai · codex · cline · gemini-cli · vscode · opencode · copilot
已识别的要求Documented requirements: API key · Local runtime
许可LICENSE: MPL-2.0

打开仓库Open repository

能力CAPABILITIES

它能帮你做成什么What it helps you do

上手GET STARTED

怎么装How to install

NPM · Node.js

npm install -g @llmtrim/cli@latest && llmtrim setup

选择与你的环境对应的方式。命令来自项目文档，未运行实测。Choose the option for your environment. Commands come from project documentation and have not been run-tested.

打开项目文档Open project documentation ↗

使用限制LIMITATIONS

限制与风险Limits and risk

以下要求与风险来自文档静态检查，未执行项目代码；扫描没有命中，不代表使用安全。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

存在风险Risk found

01需要 API KeyREQUIRES API KEY: 是Yes
02需要本地环境NEEDS LOCAL RUNTIME: 是Yes
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 需要本地环境Needs a local runtime

项目动态PROJECT ACTIVITY

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

03 OCT 202603 OCT 2026

增长GROWTH

+3.3%+3.3%

241 → 249 stars · 16 个快照241 → 249 stars · 16 snapshots

状态STATUS

持续活跃Active

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/fkiene/llmtrim
原始数据哈希Raw data hash: b5ddafbc548b048e9e3e86cd301effa7
解析时间Parsed at: 2026-10-18T23:40:31.213Z
最后一次验证Last verified: 2026-10-18T22:12:35.305Z
增长测量时间Growth measured: —
发现查询Discovery queries: focus:token:repo:topic-token-optimization
分类来源Category source: rules
焦点Focus: token (8)

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [
    {
      "agent": "claude-code",
      "evidence": "readme: …center\"> <sub> Using <b>Claude Code</b>? One install also gets yo…"
    },
    {
      "agent": "claude-ai",
      "evidence": "readme: …EY`. **Anthropic `/login` vs claude.ai connectors:** with global `su…"
    },
    {
      "agent": "codex",
      "evidence": "readme: …che discount stays intact | | Codex CLI | ✅ | | | Gemini CLI | ✅ | |…"
    },
    {
      "agent": "cline",
      "evidence": "readme: …i CLI | ✅ | | | Cursor (IDE), Cline, Roo, Kilo Code | ✅ | VS Code…"
    },
    {
      "agent": "gemini-cli",
      "evidence": "readme: …ntact | | Codex CLI | ✅ | | | Gemini CLI | ✅ | | | Cursor (IDE), Cline…"
    },
    {
      "agent": "vscode",
      "evidence": "readme: …, Cline, Roo, Kilo Code | ✅ | VS Code extensions; set `NODE_EXTRA_C…"
    },
    {
      "agent": "opencode",
      "evidence": "readme: …Node host process | | Goose, OpenCode, Crush, Mux, Forge, OpenClaw,…"
    },
    {
      "agent": "copilot",
      "evidence": "readme: …ex, Cursor, Aider, your SDK). GitHub Copilot does not (certificate pinning…"
    }
  ],
  "apiKey": "fault llmtrim writes a dummy `ANTHROPIC_AUTH_TOKEN` into `~/.claude/settings.json` (same i",
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 10,
      "dev-tools": 4,
      "indie-web": 0,
      "skill-agent": 8,
      "productivity": 3
    },
    "primary": "ai-tools",
    "secondary": null
  },
  "localRuntime": "e is zero savings. Everything runs locally, nothing is sent to us. [In action →](#",
  "skillMdTotal": 0,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 0,
    "agent": 3,
    "media": 0,
    "design": 0,
    "browser": 0,
    "devtool": 2,
    "security": 0,
    "marketing": 0,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "server.json (MCP registry manifest)",
      "weight": 0.85
    },
    {
      "signal": "README ships an mcpServers config for this server",
      "weight": 0.7
    },
    {
      "signal": "MCP topic + README",
      "weight": 0.6
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme"
  ],
  "skillMdFetched": 0
}

llmtrim

它能帮你做成什么What it helps you do

怎么装How to install

限制与风险Limits and risk

它现在处在什么位置Where it stands right now

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