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Documentation Index

Fetch the complete documentation index at: https://www.edgee.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

Claude Code compression Claude Code Compression is the Edgee compression bundle tuned for Claude Code traffic — the three named strategies described in Token Compression, pre-configured for the Claude API wire format and the typical shape of a Claude Code session. You choose which strategies to enable. The CLI turns on a sensible default; the Console lets you toggle each one per API key.
StrategyWhat it does for Claude CodeDefaultCustomer-traffic average
Tool ResultTrims tool_result payloads (file reads, grep, shell, API responses) before they reach Claude. Lossless.✅ on−19%
Tool Surface (alpha)Drops MCP servers, skills, and tools irrelevant to the current task before the request hits Claude.⚠️ opt-in~−25% projected
OutputReduces verbosity of model responses without losing technical content. Same answer, fewer tokens.⚪ opt-in−6.5% when enabled
Per-strategy averages don’t aggregate — they’re measured on different baselines. Customer aggregate token-bill reduction across active customers (rolling 30 days) sits at approximately 20%, with zero measurable drift on SWE-Bench Verified samples.

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Tool Result Trimming

tool_result_trimming filters the tool-result content Claude Code sends back to itself: file contents, grep and search outputs, shell stdout/stderr, API responses, database query results. Lossless on tool_result payloads — Claude receives the same technical content with redundant framing removed. User messages and assistant turns are not modified. → Full strategy reference: Token Compression / Tool Result Trimming.

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Tool Surface Reduction (alpha)

tool_surface_reduction strips out the MCP servers, skills, and tools Claude Code wouldn’t use for the current task. Claude still sees a coherent tools list — just a curated, task-relevant subset. The IDE still exposes everything; nothing changes for the developer’s setup. → Full strategy reference: Token Compression / Tool Surface Reduction.

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Output Brevity (by Caveman)

output_brevity reduces the verbosity of Claude’s responses. Three levels are available (light, medium, hard). Off by default for Claude Code sessions because output is a small share (~1%) of total token volume — turn it on if your Claude Code workflow leans heavy on long-form responses. → Full strategy reference: Token Compression / Output Brevity.

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Receipts

+26.2% more instructions completed on the same Claude Pro plan. 20.8% more efficient per instruction. 5.1% cheaper per task on a cost-adjusted basis. Source: edgee-ai/claude-compression-lab · Endurance challenge writeup

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Get started

The fastest path is the Edgee CLI. tool_result_trimming is on by default; the other two strategies are opt-in toggles in the Console. 
curl -fsSL https://install.edgee.ai | bash
Verify the installation: 
edgee --version
Then launch Claude Code through Edgee: 
edgee launch claude
After your session, the CLI prints a link to view per-strategy savings in the Edgee Console.

Full CLI guide

Install the CLI, authenticate, and launch Claude Code in under a minute.

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Toggling individual strategies

In the Edgee Console, open Dashboard and manage your Claude Code’s settings right from the UI.
  • Enable tool_surface_reduction to opt into the alpha tool-surface compression.
  • Enable output_brevity if your Claude Code workflow produces long-form output worth tightening.
  • Disable tool_result_trimming only when you want to compare against an uncompressed baseline.
For team-managed keys, the same toggles are available per-member from Team management → agent settings. See Team management.
If you prefer not to use the CLI, configure Claude Code to route through Edgee — see Manual setup — then enable the strategies you want from the Edge Models section of the Console.

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Lossiness

tool_result_trimming is lossless on tool_result payloads. tool_surface_reduction is lossless on Claude’s perspective of available tools, Claude still sees a usable subset. output_brevity is not lossless on the prose dimension, it intentionally compresses prose verbosity.

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Next

Token Compression

Deep dive on each strategy.
https://mintcdn.com/edgee/CrNen493EQpoYoa2/images/icons/codex.svg?fit=max&auto=format&n=CrNen493EQpoYoa2&q=85&s=0f19fa96ee1277109c66c3b411f868c0

Codex Compression

Same three strategies, tuned for Codex.