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class="aside-curtain" data-v-e6f2a212></div><div class="aside-container" data-v-e6f2a212><div class="aside-content" data-v-e6f2a212><div class="VPDocAside" data-v-e6f2a212 data-v-cb998dce><!--[--><!--]--><!--[--><!--]--><nav aria-labelledby="doc-outline-aria-label" class="VPDocAsideOutline" data-v-cb998dce data-v-f610f197><div class="content" data-v-f610f197><div class="outline-marker" data-v-f610f197></div><div aria-level="2" class="outline-title" id="doc-outline-aria-label" role="heading" data-v-f610f197>On this page</div><ul class="VPDocOutlineItem root" data-v-f610f197 data-v-53c99d69><!--[--><!--]--></ul></div></nav><!--[--><!--]--><div class="spacer" data-v-cb998dce></div><!--[--><!--]--><!----><!--[--><!--]--><!--[--><!--]--></div></div></div></div><div class="content" data-v-e6f2a212><div class="content-container" data-v-e6f2a212><!--[--><!--]--><main class="main" data-v-e6f2a212><div style="position:relative;" class="vp-doc _api-keys" data-v-e6f2a212><div><h1 id="api-key-setup-guide" tabindex="-1">API Key Setup Guide <a class="header-anchor" href="#api-key-setup-guide" aria-label="Permalink to "API Key Setup Guide""></a></h1><p>Every lab needs at least one LLM API key. If you don't have one, the mock LLM handles everything offline.</p><hr><h2 id="quick-start-use-the-mock-llm-no-key-needed" tabindex="-1">Quick Start: Use the Mock LLM (No Key Needed) <a class="header-anchor" href="#quick-start-use-the-mock-llm-no-key-needed" aria-label="Permalink to "Quick Start: Use the Mock LLM (No Key Needed)""></a></h2><p>All labs include automatic mock LLM fallback. Run without any setup:</p><div class="language-bash vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">bash</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#6F42C1;--shiki-dark:#B392F0;">python</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> labs/L1-first-agent/solution.py</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> test.txt</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> "Summarize this file"</span></span></code></pre></div><p>The mock client returns realistic responses. Your code runs identically with real or mock LLM.</p><hr><h2 id="provider-keys" tabindex="-1">Provider Keys <a class="header-anchor" href="#provider-keys" aria-label="Permalink to "Provider Keys""></a></h2><h3 id="anthropic-claude-—-recommended" tabindex="-1">Anthropic (Claude) — Recommended <a class="header-anchor" href="#anthropic-claude-—-recommended" aria-label="Permalink to "Anthropic (Claude) — Recommended""></a></h3><p><strong>Best for</strong>: All course labs. Claude Sonnet is the default model used throughout.<br><strong>Cost</strong>: Free credits available on signup. Labs cost ~$0.01-0.05 each with Sonnet.<br><strong>Get key</strong>: <a href="https://console.anthropic.com/settings/keys" target="_blank" rel="noreferrer">console.anthropic.com</a><br><strong>Set it</strong>:</p><div class="language-bash vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">bash</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#6A737D;--shiki-dark:#6A737D;"># Windows PowerShell</span></span>
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<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">$env:ANTHROPIC_API_KEY</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"sk-ant-..."</span></span>
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<span class="line"></span>
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<span class="line"><span style="--shiki-light:#6A737D;--shiki-dark:#6A737D;"># Mac/Linux</span></span>
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<span class="line"><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">export</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;"> ANTHROPIC_API_KEY</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"sk-ant-..."</span></span></code></pre></div><h3 id="openai-gpt" tabindex="-1">OpenAI (GPT) <a class="header-anchor" href="#openai-gpt" aria-label="Permalink to "OpenAI (GPT)""></a></h3><p><strong>Best for</strong>: Labs using the OpenAI SDK.<br><strong>Cost</strong>: Free credits on signup. GPT-4o costs ~$0.02-0.10 per lab.<br><strong>Get key</strong>: <a href="https://platform.openai.com/api-keys" target="_blank" rel="noreferrer">platform.openai.com/api-keys</a><br><strong>Set it</strong>:</p><div class="language-bash vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">bash</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">export</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;"> OPENAI_API_KEY</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"sk-..."</span></span></code></pre></div><h3 id="google-gemini" tabindex="-1">Google Gemini <a class="header-anchor" href="#google-gemini" aria-label="Permalink to "Google Gemini""></a></h3><p><strong>Best for</strong>: Cost-sensitive experimentation. Gemini Flash is $0.15/M tokens.<br><strong>Cost</strong>: Free tier available (60 requests/minute).<br><strong>Get key</strong>: <a href="https://aistudio.google.com/apikey" target="_blank" rel="noreferrer">aistudio.google.com/apikey</a><br><strong>Set it</strong>:</p><div class="language-bash vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">bash</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">export</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;"> GEMINI_API_KEY</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"..."</span></span></code></pre></div><h3 id="openrouter-multi-provider" tabindex="-1">OpenRouter (Multi-Provider) <a class="header-anchor" href="#openrouter-multi-provider" aria-label="Permalink to "OpenRouter (Multi-Provider)""></a></h3><p><strong>Best for</strong>: Accessing multiple models from one key.<br><strong>Cost</strong>: Pay-as-you-go. Free tier available for some models.<br><strong>Get key</strong>: <a href="https://openrouter.ai/keys" target="_blank" rel="noreferrer">openrouter.ai/keys</a><br><strong>Set it</strong>:</p><div class="language-bash vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">bash</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">export</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;"> OPENROUTER_API_KEY</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"sk-or-..."</span></span></code></pre></div><hr><h2 id="which-key-should-you-get" tabindex="-1">Which Key Should You Get? <a class="header-anchor" href="#which-key-should-you-get" aria-label="Permalink to "Which Key Should You Get?""></a></h2><table tabindex="0"><thead><tr><th>If you...</th><th>Get</th></tr></thead><tbody><tr><td>Want the simplest setup</td><td><strong>None</strong> (use mock LLM)</td></tr><tr><td>Want to follow the course exactly</td><td><strong>Anthropic</strong> (Claude Sonnet)</td></tr><tr><td>Already have OpenAI access</td><td><strong>OpenAI</strong> (GPT-4o or o3-mini)</td></tr><tr><td>Want the cheapest option</td><td><strong>Gemini</strong> (Flash is $0.15/M)</td></tr><tr><td>Want to try different models</td><td><strong>OpenRouter</strong> (one key for everything)</td></tr></tbody></table><hr><h2 id="testing-your-key" tabindex="-1">Testing Your Key <a class="header-anchor" href="#testing-your-key" aria-label="Permalink to "Testing Your Key""></a></h2><div class="language-bash vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">bash</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#6A737D;--shiki-dark:#6A737D;"># Anthropic</span></span>
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<span class="line"><span style="--shiki-light:#6F42C1;--shiki-dark:#B392F0;">python</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> -c</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> "from anthropic import Anthropic; c=Anthropic(); print(c.messages.create(model='claude-sonnet-4', max_tokens=50, messages=[{'role':'user','content':'hi'}]).content)"</span></span>
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<span class="line"></span>
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<span class="line"><span style="--shiki-light:#6A737D;--shiki-dark:#6A737D;"># OpenAI</span></span>
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<span class="line"><span style="--shiki-light:#6F42C1;--shiki-dark:#B392F0;">python</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> -c</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> "from openai import OpenAI; c=OpenAI(); print(c.chat.completions.create(model='gpt-4o', messages=[{'role':'user','content':'hi'}]).choices[0].message.content)"</span></span>
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<span class="line"></span>
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<span class="line"><span style="--shiki-light:#6A737D;--shiki-dark:#6A737D;"># Mock (no key needed)</span></span>
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<span class="line"><span style="--shiki-light:#6F42C1;--shiki-dark:#B392F0;">python</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> -c</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> "from mock_llm import MockAnthropic; c=MockAnthropic(); print(c.messages.create(messages=[{'role':'user','content':'hi'}]).content[0].text)"</span></span></code></pre></div><hr><h2 id="free-tier-limits" tabindex="-1">Free Tier Limits <a class="header-anchor" href="#free-tier-limits" aria-label="Permalink to "Free Tier Limits""></a></h2><table tabindex="0"><thead><tr><th>Provider</th><th>Free Credits</th><th>Rate Limit</th></tr></thead><tbody><tr><td>Anthropic</td><td>$5-10 signup credit</td><td>Varies by model</td></tr><tr><td>OpenAI</td><td>$5-18 signup credit</td><td>Varies by tier</td></tr><tr><td>Gemini</td><td>Free tier (60 req/min)</td><td>60 requests/minute</td></tr><tr><td>OpenRouter</td><td>Varies by model</td><td>Varies</td></tr></tbody></table><p>The course uses ~$0.50-2.00 in API costs total with Anthropic, or $0 with the mock LLM.</p></div></div></main><footer class="VPDocFooter" data-v-e6f2a212 data-v-1bcd8184><!--[--><!--]--><div class="edit-info" data-v-1bcd8184><!----><div class="last-updated" data-v-1bcd8184><p class="VPLastUpdated" data-v-1bcd8184 data-v-1bb0c8a8>Last updated: <time datetime="2026-06-03T12:07:52.000Z" data-v-1bb0c8a8></time></p></div></div><!----></footer><!--[--><!--]--></div></div></div><!--[--><!--]--></div></div><footer class="VPFooter" data-v-d8b57b2d data-v-566314d4><div class="container" data-v-566314d4><p class="message" data-v-566314d4>FDSA Agency — Agentic Engineering Course. Part of the fdsa.ai orchestration platform.</p><p class="copyright" data-v-566314d4>Copyright 2026</p></div></footer><!--[--><!--]--></div></div></div>
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