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<meta name="description" content="The Context Optimization Layer for LLM Applications">
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Proxy Server
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Compression
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Image Compression
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<article class="md-content__inner md-typeset">
<h1 id="headroom">Headroom<a class="headerlink" href="#headroom" title="Permanent link">&para;</a></h1>
<p><strong>The Context Optimization Layer for LLM Applications</strong></p>
<p>Tool outputs are 70-95% redundant. Headroom compresses that away—without losing information.</p>
<hr />
<h2 id="quick-install">Quick Install<a class="headerlink" href="#quick-install" title="Permanent link">&para;</a></h2>
<div class="language-bash highlight"><pre><span></span><code><span id="__span-0-1"><a id="__codelineno-0-1" name="__codelineno-0-1" href="#__codelineno-0-1"></a>pip<span class="w"> </span>install<span class="w"> </span>headroom-ai<span class="o">[</span>all<span class="o">]</span>
</span></code></pre></div>
<h2 id="quick-start">Quick Start<a class="headerlink" href="#quick-start" title="Permanent link">&para;</a></h2>
<h3 id="option-1-proxy-zero-code-changes">Option 1: Proxy (Zero Code Changes)<a class="headerlink" href="#option-1-proxy-zero-code-changes" title="Permanent link">&para;</a></h3>
<p>Start the proxy:</p>
<div class="language-bash highlight"><pre><span></span><code><span id="__span-1-1"><a id="__codelineno-1-1" name="__codelineno-1-1" href="#__codelineno-1-1"></a>headroom<span class="w"> </span>proxy
</span></code></pre></div>
<p>Point your tools at it:</p>
<div class="language-bash highlight"><pre><span></span><code><span id="__span-2-1"><a id="__codelineno-2-1" name="__codelineno-2-1" href="#__codelineno-2-1"></a><span class="nv">ANTHROPIC_BASE_URL</span><span class="o">=</span>http://localhost:8787<span class="w"> </span>claude
</span></code></pre></div>
<p>That's it. Your existing code works unchanged, with 40-90% fewer tokens.</p>
<h3 id="option-2-python-sdk">Option 2: Python SDK<a class="headerlink" href="#option-2-python-sdk" title="Permanent link">&para;</a></h3>
<div class="language-python highlight"><pre><span></span><code><span id="__span-3-1"><a id="__codelineno-3-1" name="__codelineno-3-1" href="#__codelineno-3-1"></a><span class="kn">from</span><span class="w"> </span><span class="nn">headroom</span><span class="w"> </span><span class="kn">import</span> <span class="n">Headroom</span>
</span><span id="__span-3-2"><a id="__codelineno-3-2" name="__codelineno-3-2" href="#__codelineno-3-2"></a>
</span><span id="__span-3-3"><a id="__codelineno-3-3" name="__codelineno-3-3" href="#__codelineno-3-3"></a><span class="n">hr</span> <span class="o">=</span> <span class="n">Headroom</span><span class="p">()</span>
</span><span id="__span-3-4"><a id="__codelineno-3-4" name="__codelineno-3-4" href="#__codelineno-3-4"></a>
</span><span id="__span-3-5"><a id="__codelineno-3-5" name="__codelineno-3-5" href="#__codelineno-3-5"></a><span class="c1"># Compress tool output before sending to LLM</span>
</span><span id="__span-3-6"><a id="__codelineno-3-6" name="__codelineno-3-6" href="#__codelineno-3-6"></a><span class="n">compressed</span> <span class="o">=</span> <span class="n">hr</span><span class="o">.</span><span class="n">compress</span><span class="p">(</span><span class="n">large_tool_output</span><span class="p">)</span>
</span><span id="__span-3-7"><a id="__codelineno-3-7" name="__codelineno-3-7" href="#__codelineno-3-7"></a>
</span><span id="__span-3-8"><a id="__codelineno-3-8" name="__codelineno-3-8" href="#__codelineno-3-8"></a><span class="c1"># If LLM needs the full data, retrieve it</span>
</span><span id="__span-3-9"><a id="__codelineno-3-9" name="__codelineno-3-9" href="#__codelineno-3-9"></a><span class="n">original</span> <span class="o">=</span> <span class="n">hr</span><span class="o">.</span><span class="n">retrieve</span><span class="p">(</span><span class="n">compressed</span><span class="p">)</span>
</span></code></pre></div>
<hr />
<h2 id="why-headroom">Why Headroom?<a class="headerlink" href="#why-headroom" title="Permanent link">&para;</a></h2>
<table>
<thead>
<tr>
<th>Problem</th>
<th>Solution</th>
</tr>
</thead>
<tbody>
<tr>
<td>Tool outputs bloat context with repetitive JSON</td>
<td>Statistical compression removes redundancy</td>
</tr>
<tr>
<td>Dynamic content breaks provider caching</td>
<td>Cache alignment stabilizes prefixes</td>
</tr>
<tr>
<td>Long conversations exceed context limits</td>
<td>Intelligent scoring drops low-value messages</td>
</tr>
<tr>
<td>Compressed data might be needed later</td>
<td>CCR stores originals for on-demand retrieval</td>
</tr>
</tbody>
</table>
<hr />
<h2 id="results">Results<a class="headerlink" href="#results" title="Permanent link">&para;</a></h2>
<p><strong>100 log entries. One critical error buried at position 67.</strong></p>
<table>
<thead>
<tr>
<th>Metric</th>
<th>Baseline</th>
<th>Headroom</th>
</tr>
</thead>
<tbody>
<tr>
<td>Input tokens</td>
<td>10,144</td>
<td>1,260</td>
</tr>
<tr>
<td>Correct answers</td>
<td>4/4</td>
<td>4/4</td>
</tr>
</tbody>
</table>
<p><strong>87.6% fewer tokens. Same answer.</strong></p>
<p>The FATAL error was automatically preserved—no configuration needed.</p>
<hr />
<h2 id="how-it-works">How It Works<a class="headerlink" href="#how-it-works" title="Permanent link">&para;</a></h2>
<div class="language-text highlight"><pre><span></span><code><span id="__span-4-1"><a id="__codelineno-4-1" name="__codelineno-4-1" href="#__codelineno-4-1"></a>Your App → Headroom → LLM Provider
</span><span id="__span-4-2"><a id="__codelineno-4-2" name="__codelineno-4-2" href="#__codelineno-4-2"></a> ↓
</span><span id="__span-4-3"><a id="__codelineno-4-3" name="__codelineno-4-3" href="#__codelineno-4-3"></a> Compression
</span><span id="__span-4-4"><a id="__codelineno-4-4" name="__codelineno-4-4" href="#__codelineno-4-4"></a> Caching
</span><span id="__span-4-5"><a id="__codelineno-4-5" name="__codelineno-4-5" href="#__codelineno-4-5"></a> Retrieval
</span></code></pre></div>
<ol>
<li><strong>Intercepts context</strong> — Tool outputs, logs, search results</li>
<li><strong>Compresses intelligently</strong> — Keeps errors, outliers, boundaries</li>
<li><strong>Stores originals</strong> — Full data available if LLM requests it</li>
<li><strong>Aligns for caching</strong> — Provider caches actually hit</li>
</ol>
<hr />
<h2 id="integrations">Integrations<a class="headerlink" href="#integrations" title="Permanent link">&para;</a></h2>
<div class="tabbed-set tabbed-alternate" data-tabs="1:3"><input checked="checked" id="__tabbed_1_1" name="__tabbed_1" type="radio" /><input id="__tabbed_1_2" name="__tabbed_1" type="radio" /><input id="__tabbed_1_3" name="__tabbed_1" type="radio" /><div class="tabbed-labels"><label for="__tabbed_1_1">LangChain</label><label for="__tabbed_1_2">Agno</label><label for="__tabbed_1_3">AWS Bedrock</label></div>
<div class="tabbed-content">
<div class="tabbed-block">
<div class="language-python highlight"><pre><span></span><code><span id="__span-5-1"><a id="__codelineno-5-1" name="__codelineno-5-1" href="#__codelineno-5-1"></a><span class="kn">from</span><span class="w"> </span><span class="nn">langchain_openai</span><span class="w"> </span><span class="kn">import</span> <span class="n">ChatOpenAI</span>
</span><span id="__span-5-2"><a id="__codelineno-5-2" name="__codelineno-5-2" href="#__codelineno-5-2"></a><span class="kn">from</span><span class="w"> </span><span class="nn">headroom.integrations</span><span class="w"> </span><span class="kn">import</span> <span class="n">HeadroomChatModel</span>
</span><span id="__span-5-3"><a id="__codelineno-5-3" name="__codelineno-5-3" href="#__codelineno-5-3"></a>
</span><span id="__span-5-4"><a id="__codelineno-5-4" name="__codelineno-5-4" href="#__codelineno-5-4"></a><span class="n">llm</span> <span class="o">=</span> <span class="n">HeadroomChatModel</span><span class="p">(</span><span class="n">ChatOpenAI</span><span class="p">(</span><span class="n">model</span><span class="o">=</span><span class="s2">&quot;gpt-4o&quot;</span><span class="p">))</span>
</span><span id="__span-5-5"><a id="__codelineno-5-5" name="__codelineno-5-5" href="#__codelineno-5-5"></a><span class="n">response</span> <span class="o">=</span> <span class="n">llm</span><span class="o">.</span><span class="n">invoke</span><span class="p">(</span><span class="s2">&quot;Hello!&quot;</span><span class="p">)</span>
</span></code></pre></div>
</div>
<div class="tabbed-block">
<div class="language-python highlight"><pre><span></span><code><span id="__span-6-1"><a id="__codelineno-6-1" name="__codelineno-6-1" href="#__codelineno-6-1"></a><span class="kn">from</span><span class="w"> </span><span class="nn">agno.agent</span><span class="w"> </span><span class="kn">import</span> <span class="n">Agent</span>
</span><span id="__span-6-2"><a id="__codelineno-6-2" name="__codelineno-6-2" href="#__codelineno-6-2"></a><span class="kn">from</span><span class="w"> </span><span class="nn">agno.models.openai</span><span class="w"> </span><span class="kn">import</span> <span class="n">OpenAIChat</span>
</span><span id="__span-6-3"><a id="__codelineno-6-3" name="__codelineno-6-3" href="#__codelineno-6-3"></a><span class="kn">from</span><span class="w"> </span><span class="nn">headroom.integrations.agno</span><span class="w"> </span><span class="kn">import</span> <span class="n">HeadroomAgnoModel</span>
</span><span id="__span-6-4"><a id="__codelineno-6-4" name="__codelineno-6-4" href="#__codelineno-6-4"></a>
</span><span id="__span-6-5"><a id="__codelineno-6-5" name="__codelineno-6-5" href="#__codelineno-6-5"></a><span class="n">model</span> <span class="o">=</span> <span class="n">HeadroomAgnoModel</span><span class="p">(</span><span class="n">OpenAIChat</span><span class="p">(</span><span class="nb">id</span><span class="o">=</span><span class="s2">&quot;gpt-4o&quot;</span><span class="p">))</span>
</span><span id="__span-6-6"><a id="__codelineno-6-6" name="__codelineno-6-6" href="#__codelineno-6-6"></a><span class="n">agent</span> <span class="o">=</span> <span class="n">Agent</span><span class="p">(</span><span class="n">model</span><span class="o">=</span><span class="n">model</span><span class="p">)</span>
</span></code></pre></div>
</div>
<div class="tabbed-block">
<div class="language-bash highlight"><pre><span></span><code><span id="__span-7-1"><a id="__codelineno-7-1" name="__codelineno-7-1" href="#__codelineno-7-1"></a><span class="c1"># Start proxy with Bedrock backend</span>
</span><span id="__span-7-2"><a id="__codelineno-7-2" name="__codelineno-7-2" href="#__codelineno-7-2"></a>headroom<span class="w"> </span>proxy<span class="w"> </span>--backend<span class="w"> </span>bedrock<span class="w"> </span>--region<span class="w"> </span>us-east-1
</span><span id="__span-7-3"><a id="__codelineno-7-3" name="__codelineno-7-3" href="#__codelineno-7-3"></a>
</span><span id="__span-7-4"><a id="__codelineno-7-4" name="__codelineno-7-4" href="#__codelineno-7-4"></a><span class="c1"># Point Claude Code at it</span>
</span><span id="__span-7-5"><a id="__codelineno-7-5" name="__codelineno-7-5" href="#__codelineno-7-5"></a><span class="nv">ANTHROPIC_API_KEY</span><span class="o">=</span><span class="s2">&quot;sk-ant-dummy&quot;</span><span class="w"> </span><span class="se">\</span>
</span><span id="__span-7-6"><a id="__codelineno-7-6" name="__codelineno-7-6" href="#__codelineno-7-6"></a><span class="nv">ANTHROPIC_BASE_URL</span><span class="o">=</span>http://localhost:8787<span class="w"> </span><span class="se">\</span>
</span><span id="__span-7-7"><a id="__codelineno-7-7" name="__codelineno-7-7" href="#__codelineno-7-7"></a>claude
</span></code></pre></div>
</div>
</div>
</div>
<hr />
<h2 id="features">Features<a class="headerlink" href="#features" title="Permanent link">&para;</a></h2>
<p><strong>Compression</strong></p>
<ul>
<li>Statistical JSON array compression (no hardcoded rules)</li>
<li>ML-based text compression via LLMLingua</li>
<li>AST-aware code compression</li>
<li>Image optimization (40-90% reduction)</li>
</ul>
<p><strong>Context Management</strong></p>
<ul>
<li>Intelligent message scoring and dropping</li>
<li>Compress-Cache-Retrieve (CCR) for lossless compression</li>
<li>Provider cache alignment for better hit rates</li>
</ul>
<p><strong>Operations</strong></p>
<ul>
<li>Prometheus metrics endpoint</li>
<li>Request logging and cost tracking</li>
<li>Budget limits and rate limiting</li>
</ul>
<hr />
<h2 id="next-steps">Next Steps<a class="headerlink" href="#next-steps" title="Permanent link">&para;</a></h2>
<ul>
<li><a href="quickstart/">Quickstart Guide</a> — Get running in 5 minutes</li>
<li><a href="proxy/">Proxy Documentation</a> — Configure the optimization proxy</li>
<li><a href="ARCHITECTURE/">Architecture</a> — Deep dive into how it works</li>
</ul>
<hr />
<h2 id="license">License<a class="headerlink" href="#license" title="Permanent link">&para;</a></h2>
<p>Apache 2.0 — Free for commercial use.</p>
</article>
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