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🚀 Alias Robotics Models (CAI PRO Exclusive)
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alias1 - State-of-the-Art Cybersecurity Model
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Community Models (300+ Available)
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Anthropic
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OpenAI
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DeepSeek
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Alternative Models (Community Edition)
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Getting Started
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User Interface
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Terminals Management
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Teams & Parallel Execution
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Sidebar Features
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Keyboard Shortcuts
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Commands Reference
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Advanced Features
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Agent
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Runner
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Result
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Stream Events
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Handoffs
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Lifecycle
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Items
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Run Context
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Usage
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Exceptions
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Guardrail
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Model Settings
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Agent Output
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Function Schema
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Interface
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OpenAI Chat Completions
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OpenAI Responses
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Extensions
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Extensions
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Handoff Filters
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FAQ
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Find Us
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<li class="md-nav__item">
<a href="#alias-robotics-models-cai-pro-exclusive" class="md-nav__link">
<span class="md-ellipsis">
🚀 Alias Robotics Models (CAI PRO Exclusive)
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<nav class="md-nav" aria-label="🚀 Alias Robotics Models (CAI PRO Exclusive)">
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alias1 - State-of-the-Art Cybersecurity Model
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<a href="#alias0-legacy-model-deprecated" class="md-nav__link">
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alias0 - Legacy Model (Deprecated)
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Community Models (300+ Available)
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<nav class="md-nav" aria-label="Community Models (300+ Available)">
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<a href="#popular-model-providers" class="md-nav__link">
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Popular Model Providers
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Anthropic
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OpenAI
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DeepSeek
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Ollama (Local Models)
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Model Selection Guide
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For All Cybersecurity Work
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Alternative Models (Community Edition)
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Comparison: alias1 vs Community Models
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Using alias1 (CAI PRO)
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<h1 id="available-models">Available Models</h1>
<p>The <strong>Cybersecurity AI (CAI)</strong> platform provides seamless integration with multiple Large Language Models (LLMs). This functionality allows users to leverage state-of-the-art AI capabilities for various cybersecurity tasks. CAI acts as a bridge between your security workflows and a wide range of LLMs, enhancing both flexibility and performance of AI agents.</p>
<hr />
<h2 id="alias-robotics-models-cai-pro-exclusive">🚀 Alias Robotics Models (CAI PRO Exclusive)</h2>
<h3 id="alias1-state-of-the-art-cybersecurity-model"><code>alias1</code> - State-of-the-Art Cybersecurity Model</h3>
<div class="highlight-box">
<p><strong>The most advanced cybersecurity AI model available.</strong></p>
<p><code>alias1</code> is our flagship 500B-parameter model, specifically trained and optimized for offensive and defensive security operations. Available exclusively with <strong><a href="../cai_pro/">CAI PRO</a></strong>.</p>
<p><strong>Key Features:</strong>
- ✅ <strong>Beats GPT-5</strong> in AI vs AI cybersecurity benchmarks
- ✅ <strong>Zero refusals</strong> for authorized security testing
- ✅ <strong>Unrestricted</strong> responses for pentesting engagements
- ✅ <strong>Unlimited tokens</strong> included with CAI PRO subscription
- ✅ <strong>European hosting</strong> with GDPR &amp; NIS2 compliance
- ✅ <strong>500B parameters</strong> optimized for security workflows</p>
<p><strong>Performance Highlights:</strong>
- Top performer in CTF competitions
- Superior exploit development capabilities
- Advanced vulnerability analysis
- Automated reconnaissance and enumeration
- Bug bounty hunting optimization</p>
<p><strong>Learn More:</strong>
- 📊 <a href="https://aliasrobotics.com/alias1.php#benchmarking">View Benchmarks</a>
- 📖 <a href="https://aliasrobotics.com/alias1.php">Technical Details</a>
- 🚀 <a href="../cai_pro/">Upgrade to CAI PRO</a></p>
</div>
<h3 id="alias0-legacy-model-deprecated"><code>alias0</code> - Legacy Model (Deprecated)</h3>
<div class="admonition warning">
<p class="admonition-title">Model Deprecated</p>
<p><code>alias0</code> is no longer available. All users should migrate to <strong><code>alias1</code></strong>, which offers superior performance, unrestricted capabilities, and continuous updates.</p>
<p><strong>Migration:</strong> If you're currently using <code>alias0</code>, simply update your configuration to use <code>alias1</code> with your CAI PRO subscription.</p>
<p><a href="https://aliasrobotics.com/alias0.php">Learn about alias0 (historical reference) →</a></p>
</div>
<hr />
<h2 id="community-models-300-available">Community Models (300+ Available)</h2>
<p>CAI supports <strong>over 300 models</strong> through its integration with <a href="https://github.com/BerriAI/litellm">LiteLLM</a>. You can use any of these models by providing your own API keys.</p>
<h3 id="popular-model-providers">Popular Model Providers</h3>
<h4 id="anthropic">Anthropic</h4>
<ul>
<li><strong>Claude 3.7</strong> - Latest Anthropic model</li>
<li><strong>Claude 3.5 Sonnet</strong> - Best for complex reasoning</li>
<li><strong>Claude 3 Opus</strong> - Highest capability</li>
<li><strong>Claude 3 Haiku</strong> - Fast and efficient</li>
</ul>
<p><strong>Configuration:</strong>
<div class="language-bash highlight"><pre><span></span><code><span id="__span-0-1"><span class="nb">export</span><span class="w"> </span><span class="nv">ANTHROPIC_API_KEY</span><span class="o">=</span><span class="s2">&quot;sk-ant-...&quot;</span>
</span><span id="__span-0-2"><span class="nb">export</span><span class="w"> </span><span class="nv">CAI_MODEL</span><span class="o">=</span><span class="s2">&quot;claude-3-5-sonnet-20241022&quot;</span>
</span></code></pre></div></p>
<h4 id="openai">OpenAI</h4>
<ul>
<li><strong>O1</strong> - Advanced reasoning model</li>
<li><strong>O1 Mini</strong> - Cost-effective reasoning</li>
<li><strong>O3 Mini</strong> - Latest mini model</li>
<li><strong>GPT-4o</strong> - Optimized GPT-4</li>
<li><strong>GPT-4.5 Preview</strong> - Enhanced capabilities</li>
</ul>
<p><strong>Configuration:</strong>
<div class="language-bash highlight"><pre><span></span><code><span id="__span-1-1"><span class="nb">export</span><span class="w"> </span><span class="nv">OPENAI_API_KEY</span><span class="o">=</span><span class="s2">&quot;sk-...&quot;</span>
</span><span id="__span-1-2"><span class="nb">export</span><span class="w"> </span><span class="nv">CAI_MODEL</span><span class="o">=</span><span class="s2">&quot;gpt-4o&quot;</span>
</span></code></pre></div></p>
<h4 id="deepseek">DeepSeek</h4>
<ul>
<li><strong>DeepSeek V3</strong> - Latest version</li>
<li><strong>DeepSeek R1</strong> - Reasoning focused</li>
</ul>
<p><strong>Configuration:</strong>
<div class="language-bash highlight"><pre><span></span><code><span id="__span-2-1"><span class="nb">export</span><span class="w"> </span><span class="nv">DEEPSEEK_API_KEY</span><span class="o">=</span><span class="s2">&quot;sk-...&quot;</span>
</span><span id="__span-2-2"><span class="nb">export</span><span class="w"> </span><span class="nv">CAI_MODEL</span><span class="o">=</span><span class="s2">&quot;deepseek-chat&quot;</span>
</span></code></pre></div></p>
<h4 id="ollama-local-models">Ollama (Local Models)</h4>
<ul>
<li><strong>Qwen2.5 72B</strong> - High performance</li>
<li><strong>Qwen2.5 14B</strong> - Balanced capability</li>
<li><strong>Llama 3.1</strong> - Meta's latest</li>
<li><strong>Mistral</strong> - Efficient and fast</li>
<li>And 100+ more local models</li>
</ul>
<p><strong>Configuration:</strong>
<div class="language-bash highlight"><pre><span></span><code><span id="__span-3-1"><span class="nb">export</span><span class="w"> </span><span class="nv">OLLAMA_API_BASE</span><span class="o">=</span><span class="s2">&quot;http://localhost:11434/v1&quot;</span>
</span><span id="__span-3-2"><span class="nb">export</span><span class="w"> </span><span class="nv">CAI_MODEL</span><span class="o">=</span><span class="s2">&quot;ollama/qwen2.5:72b&quot;</span>
</span></code></pre></div></p>
<hr />
<h2 id="model-selection-guide">Model Selection Guide</h2>
<div class="admonition tip">
<p class="admonition-title">📊 Based on CAIBench Research</p>
<p>Our model recommendations are based on rigorous evaluation using <a href="https://arxiv.org/pdf/2510.24317"><strong>CAIBench</strong></a>, a modular meta-benchmark framework for evaluating LLM models and agents across offensive and defensive cybersecurity domains.</p>
<p><strong>Research shows:</strong> In <a href="https://arxiv.org/pdf/2510.17521">real-world CTF evaluations</a>, defensive agents achieved 54.3% patching success versus 28.3% offensive initial access, with <code>alias1</code> consistently outperforming general-purpose models.</p>
</div>
<h3 id="for-all-cybersecurity-work">For All Cybersecurity Work</h3>
<p><strong>✅ Always Recommended:</strong> <code>alias1</code> (CAI PRO)
- <strong>Best performer</strong> in <a href="https://arxiv.org/pdf/2510.24317">CAIBench</a> evaluations
- <strong>Unrestricted</strong> for authorized pentesting and security research
- <strong>Zero refusals</strong> - designed specifically for offensive security
- <strong>Unlimited tokens</strong> included with CAI PRO subscription
- <strong>Superior CTF performance</strong> - validated in real-world scenarios
- <strong>Beats general-purpose models</strong> (GPT-4o, Claude 3.5) in security tasks</p>
<p>📖 <strong>Learn more</strong>: <a href="https://arxiv.org/pdf/2504.06017">CAI research demonstrates 3,600× performance gains</a> over manual security testing in specific scenarios.</p>
<hr />
<h3 id="alternative-models-community-edition">Alternative Models (Community Edition)</h3>
<p>While <code>alias1</code> is always recommended for security work, the following models can be used with CAI Community Edition:</p>
<h4 id="for-localoffline-testing">For Local/Offline Testing</h4>
<p><strong>Alternative:</strong> Ollama with Qwen2.5 72B
- Complete privacy (no data leaves your machine)
- No API costs
- Good for testing and development
- Requires local GPU resources
- ⚠️ <strong>Note:</strong> Performance significantly below <code>alias1</code> for security tasks</p>
<h4 id="for-budget-conscious-users">For Budget-Conscious Users</h4>
<p><strong>Alternative:</strong> DeepSeek V3 or Ollama models
- Lower API costs (DeepSeek)
- Free local inference (Ollama)
- Adequate performance for many tasks
- ⚠️ <strong>Note:</strong> Not optimized for cybersecurity workflows</p>
<hr />
<h2 id="additional-integrations">Additional Integrations</h2>
<p>CAI is compatible with multiple model platforms and providers:</p>
<ul>
<li><strong><a href="providers/openrouter.md">OpenRouter</a></strong> - Access to 200+ models via unified API</li>
<li><strong><a href="../providers/ollama/">Ollama</a></strong> - Local model hosting and inference</li>
<li><strong><a href="providers/azure.md">Azure OpenAI</a></strong> - Enterprise-hosted OpenAI models</li>
</ul>
<p>See the <strong>Model Providers</strong> section for detailed configuration guides.</p>
<hr />
<h2 id="comparison-alias1-vs-community-models">Comparison: alias1 vs Community Models</h2>
<table>
<thead>
<tr>
<th>Feature</th>
<th>alias1 (CAI PRO)</th>
<th>Model1</th>
<th>Model2</th>
<th>Model3</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Cybersecurity Optimization</strong></td>
<td>✅ Native</td>
<td>⚠️ General</td>
<td>⚠️ General</td>
<td>⚠️ General</td>
</tr>
<tr>
<td><strong>CTF Performance</strong></td>
<td>🏆 Best</td>
<td>Good</td>
<td>Good</td>
<td>Fair</td>
</tr>
<tr>
<td><strong>Refusals</strong></td>
<td>✅ Zero</td>
<td>❌ Many</td>
<td>❌ Many</td>
<td>⚠️ Some</td>
</tr>
<tr>
<td><strong>Pentesting</strong></td>
<td>✅ Unrestricted</td>
<td>❌ Limited</td>
<td>❌ Limited</td>
<td>⚠️ Varies</td>
</tr>
<tr>
<td><strong>Token Limits</strong></td>
<td>✅ Unlimited</td>
<td>Pay per token</td>
<td>Pay per token</td>
<td>Free (local)</td>
</tr>
<tr>
<td><strong>Privacy</strong></td>
<td>✅ European GDPR</td>
<td>⚠️ US-based</td>
<td>⚠️ US-based</td>
<td>✅ Local only</td>
</tr>
<tr>
<td><strong>Support</strong></td>
<td>✅ Professional</td>
<td>Community</td>
<td>Community</td>
<td>Community</td>
</tr>
<tr>
<td><strong>Best For</strong></td>
<td>Pro security work</td>
<td>General tasks</td>
<td>Writing/analysis</td>
<td>Local testing</td>
</tr>
</tbody>
</table>
<hr />
<h2 id="getting-started">Getting Started</h2>
<h3 id="using-alias1-cai-pro">Using alias1 (CAI PRO)</h3>
<ol>
<li><strong>Subscribe to CAI PRO</strong>: <a href="../cai_pro/">Upgrade here</a></li>
<li><strong>Configure your environment</strong>:
<div class="language-bash highlight"><pre><span></span><code><span id="__span-4-1"><span class="nb">export</span><span class="w"> </span><span class="nv">ALIAS_API_KEY</span><span class="o">=</span><span class="s2">&quot;sk-your-caipro-key&quot;</span>
</span><span id="__span-4-2"><span class="nb">export</span><span class="w"> </span><span class="nv">CAI_MODEL</span><span class="o">=</span><span class="s2">&quot;alias1&quot;</span>
</span></code></pre></div></li>
<li><strong>Start using CAI</strong>:
<div class="language-bash highlight"><pre><span></span><code><span id="__span-5-1">cai
</span></code></pre></div></li>
</ol>
<h3 id="using-community-models">Using Community Models</h3>
<ol>
<li><strong>Get API key</strong> from your chosen provider</li>
<li><strong>Configure environment</strong>:
<div class="language-bash highlight"><pre><span></span><code><span id="__span-6-1"><span class="nb">export</span><span class="w"> </span><span class="nv">OPENAI_API_KEY</span><span class="o">=</span><span class="s2">&quot;sk-...&quot;</span><span class="w"> </span><span class="c1"># or ANTHROPIC_API_KEY, etc.</span>
</span><span id="__span-6-2"><span class="nb">export</span><span class="w"> </span><span class="nv">CAI_MODEL</span><span class="o">=</span><span class="s2">&quot;gpt-4o&quot;</span><span class="w"> </span><span class="c1"># or your chosen model</span>
</span></code></pre></div></li>
<li><strong>Start using CAI</strong>:
<div class="language-bash highlight"><pre><span></span><code><span id="__span-7-1">cai
</span></code></pre></div></li>
</ol>
<hr />
<h2 id="need-help-choosing">Need Help Choosing?</h2>
<div class="admonition success">
<p class="admonition-title">Our Recommendation: Always Use alias1</p>
<p>Based on <a href="https://arxiv.org/pdf/2510.24317">CAIBench benchmarks</a> and <a href="https://arxiv.org/pdf/2510.17521">real-world CTF evaluations</a>, <strong><code>alias1</code> is the superior choice for all cybersecurity tasks</strong>.</p>
<p><strong>For any security work:</strong> → <code>alias1</code> with <a href="../cai_pro/">CAI PRO</a></p>
</div>
<h3 id="if-cai-pro-is-not-an-option">If CAI PRO is not an option:</h3>
<ul>
<li><strong>Privacy-focused?</strong> → Ollama local models (lower performance)</li>
<li><strong>Budget-conscious?</strong> → DeepSeek or Ollama (not optimized for security)</li>
</ul>
<p>⚠️ <strong>Note:</strong> Community models are not optimized for cybersecurity workflows and will have significantly reduced capabilities compared to <code>alias1</code>.</p>
<hr />
<h2 id="research-validation">Research &amp; Validation</h2>
<p>CAI's effectiveness is validated through peer-reviewed research:</p>
<ul>
<li>📊 <a href="https://arxiv.org/pdf/2510.24317"><strong>CAIBench</strong></a> - Meta-benchmark framework for cybersecurity AI evaluation</li>
<li>🎯 <a href="https://arxiv.org/pdf/2510.17521"><strong>Agentic Cybersecurity Evaluation</strong></a> - Real-world CTF performance analysis</li>
<li>🚀 <a href="https://arxiv.org/pdf/2504.06017"><strong>Cybersecurity AI Framework</strong></a> - Core framework demonstrating 3,600× speedup</li>
<li>🛡️ <a href="https://arxiv.org/pdf/2508.21669"><strong>Prompt Injection Defense</strong></a> - Four-layer guardrail security system</li>
<li>📚 <a href="https://arxiv.org/pdf/2508.13588"><strong>CAI Fluency</strong></a> - Educational framework for democratizing AI security</li>
</ul>
<p><strong>Explore all research:</strong> <a href="https://aliasrobotics.com/research-security.php#papers">Alias Robotics Research Papers</a></p>
<p>Questions? Check our <a href="../cai_faq/">FAQ</a> or <a href="https://discord.gg/fnUFcTaQAC">join our Discord</a>.</p>
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