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@ben_labs/semanticzip

v1.0.0

Published

Compress prompts with semantic token compression (SemanticZip) before sending to the LLM — save tokens and reduce cost.

Readme

SemanticZip Token Compression — OpenClaw Plugin

Automatically compress prompts before they reach the LLM using SemanticZip (Semantic Token Compression). Save tokens, reduce costs, and speed up responses — with zero changes to your workflow.

What it does

  • Intercepts prompts via the before_agent_start hook
  • Sends system prompts and user messages to the SemanticZip compression API
  • Removes low-entropy tokens that don't contribute to meaning
  • The LLM receives a shorter prompt and responds normally
  • Typical savings: 30–70% of input tokens

Install

openclaw plugins install @semanticzip/semanticzip

Or install from a local directory:

openclaw plugins install ./path/to/semanticzip

Configuration

Add to ~/.openclaw/openclaw.json:

{
  "plugins": {
    "entries": {
      "semanticzip": {
        "enabled": true,
        "config": {
          "apiKey": "YOUR_API_KEY_HERE",
          "threshold": -2.0
        }
      }
    }
  }
}

Or set the SEMANTICZIP_API_KEY environment variable.

Config options

| Option | Type | Default | Description | |--------|------|---------|-------------| | apiUrl | string | https://api.semanticzip.com | SemanticZip API base URL | | apiKey | string | — | Your SemanticZip API key | | threshold | number | -2.0 | Compression aggressiveness: -0.5 light, -1.0 moderate, -2.0 aggressive, -3.0 maximum | | enabled | boolean | true | Enable/disable compression | | compressSystemPrompt | boolean | true | Compress the system prompt | | compressUserMessages | boolean | true | Compress user messages | | minTokensToCompress | number | 50 | Skip messages shorter than this |

Get an API key

Sign up at semanticzip.com to get your API key.

How SemanticZip works

SemanticZip uses a small language model to score every token by its information content (entropy). Tokens that are predictable from context — articles, filler words, redundant punctuation — are removed. The result reads like shorthand but retains full meaning for the LLM.

Example:

  • Before: The quick brown fox jumps over the lazy dog in the park
  • After: quick brown fox jumps over lazy dog park
  • Savings: ~40%

License

MIT