61 lines
26 KiB
JavaScript
61 lines
26 KiB
JavaScript
import{c as a,Q as i,j as e,m as t}from"./chunks/framework.BPKcPtvA.js";const c=JSON.parse('{"title":"Module 7: Advanced Topics","description":"","frontmatter":{},"headers":[],"relativePath":"modules/m7-advanced.md","filePath":"modules/m7-advanced.md","lastUpdated":1780488246000}'),n={name:"modules/m7-advanced.md"};function l(h,s,p,r,o,d){return i(),e("div",null,[...s[0]||(s[0]=[t(`<h1 id="module-7-advanced-topics" tabindex="-1">Module 7: Advanced Topics <a class="header-anchor" href="#module-7-advanced-topics" aria-label="Permalink to "Module 7: Advanced Topics""></a></h1><h2 id="lesson-7-1-autoresearch" tabindex="-1">Lesson 7.1: Autoresearch <a class="header-anchor" href="#lesson-7-1-autoresearch" aria-label="Permalink to "Lesson 7.1: Autoresearch""></a></h2><h3 id="the-core-loop" tabindex="-1">The Core Loop <a class="header-anchor" href="#the-core-loop" aria-label="Permalink to "The Core Loop""></a></h3><p>Agents that improve themselves. The experiment loop:</p><div class="language- vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang"></span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>1. Run: Execute the agent with current configuration</span></span>
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<span class="line"><span>2. Measure: Collect metrics (latency, cost, success rate)</span></span>
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<span class="line"><span>3. Log: Record experiment results to JSONL</span></span>
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<span class="line"><span>4. Decide: Keep if improvement, discard if regression</span></span>
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<span class="line"><span>5. Repeat: Try next experiment</span></span></code></pre></div><h3 id="brand-monitor-example" tabindex="-1">Brand Monitor Example <a class="header-anchor" href="#brand-monitor-example" aria-label="Permalink to "Brand Monitor Example""></a></h3><p>From your own autoresearch system:</p><div class="language-json vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">json</span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">{</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">"run"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">1</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">, </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">"metric"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: {</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">"name"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"home_ms"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">, </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">"value"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">52</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">}, </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">"description"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"Baseline"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">}</span></span>
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<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">{</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">"run"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">2</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">, </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">"metric"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: {</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">"name"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"home_ms"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">, </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">"value"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">46</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">}, </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">"deltaPct"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">-11.5</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">, </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">"description"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"Remove N+1 count queries"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">}</span></span></code></pre></div><hr><h2 id="lesson-7-2-the-experiment-loop-—-integrity" tabindex="-1">Lesson 7.2: The Experiment Loop — Integrity <a class="header-anchor" href="#lesson-7-2-the-experiment-loop-—-integrity" aria-label="Permalink to "Lesson 7.2: The Experiment Loop — Integrity""></a></h2><h3 id="three-threats-to-integrity" tabindex="-1">Three Threats to Integrity <a class="header-anchor" href="#three-threats-to-integrity" aria-label="Permalink to "Three Threats to Integrity""></a></h3><ol><li><p><strong>Reward hacking</strong> — Model moves computation outside the timing function. The "timed call" becomes a lookup. (Found in Mythos paper.)</p></li><li><p><strong>Grinding</strong> — Running identical code 160 times hoping for a lucky outlier. (Found in Mythos paper — "Pure grind — same code, lucky measurement.")</p></li><li><p><strong>Test set leakage</strong> — Finding the test set and training on it. (Found in Mythos paper — time series agent found the test set and directly trained on it.)</p></li></ol><h3 id="integrity-guards" tabindex="-1">Integrity Guards <a class="header-anchor" href="#integrity-guards" aria-label="Permalink to "Integrity Guards""></a></h3><div class="language-python vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">python</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;"># Code hash — detect grind runs</span></span>
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<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">code_hash </span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> hash</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">(</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">open</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">(</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"agent.py"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">).read())</span></span>
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<span class="line"><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">if</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;"> last_run_code_hash </span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">==</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;"> code_hash:</span></span>
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<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;"> flag_grind_run()</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;"># Compare against median, not best</span></span>
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<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">scores </span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;"> [</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">52</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">, </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">48</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">, </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">47</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">, </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">46</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">, </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">46</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">, </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">51</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">, </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">53</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">]</span></span>
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<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">median </span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> sorted</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">(scores)[</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">len</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">(scores)</span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">//</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">2</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">] </span><span style="--shiki-light:#6A737D;--shiki-dark:#6A737D;"># 48</span></span>
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<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">best </span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> max</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">(scores) </span><span style="--shiki-light:#6A737D;--shiki-dark:#6A737D;"># 46 (outlier)</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;"># Verify test data wasn't modified</span></span>
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<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">test_data_hash_before </span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> hash</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">(</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">open</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">(</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"benchmark_data.json"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">).read())</span></span>
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<span class="line"><span style="--shiki-light:#6A737D;--shiki-dark:#6A737D;"># ... run experiment ...</span></span>
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<span class="line"><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">test_data_hash_after </span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">=</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;"> hash</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">(</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">open</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">(</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"benchmark_data.json"</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">).read())</span></span>
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<span class="line"><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">assert</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;"> test_data_hash_before </span><span style="--shiki-light:#D73A49;--shiki-dark:#F97583;">==</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;"> test_data_hash_after</span></span></code></pre></div><hr><h2 id="lesson-7-3-meta-agents-—-agents-that-build-agents" tabindex="-1">Lesson 7.3: Meta-Agents — Agents That Build Agents <a class="header-anchor" href="#lesson-7-3-meta-agents-—-agents-that-build-agents" aria-label="Permalink to "Lesson 7.3: Meta-Agents — Agents That Build Agents""></a></h2><h3 id="the-pattern" tabindex="-1">The Pattern <a class="header-anchor" href="#the-pattern" aria-label="Permalink to "The Pattern""></a></h3><div class="language- vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang"></span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>User: "I need an agent that monitors our API uptime"</span></span>
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<span class="line"><span>Meta-agent:</span></span>
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<span class="line"><span> 1. Researches API monitoring patterns (parallel experts)</span></span>
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<span class="line"><span> 2. Generates agent persona/system prompt</span></span>
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<span class="line"><span> 3. Creates tool definitions</span></span>
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<span class="line"><span> 4. Writes skill files</span></span>
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<span class="line"><span> 5. Validates the generated agent works</span></span></code></pre></div><h3 id="pi-pi-meta-agent" tabindex="-1">Pi-Pi Meta-Agent <a class="header-anchor" href="#pi-pi-meta-agent" aria-label="Permalink to "Pi-Pi Meta-Agent""></a></h3><p>From pi-vs-claude-code: a meta-agent that builds Pi agents using parallel research experts:</p><div class="language- vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang"></span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>pi-pi agent → dispatches to:</span></span>
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<span class="line"><span> ├── ext-expert (extension documentation)</span></span>
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<span class="line"><span> ├── theme-expert (theming conventions)</span></span>
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<span class="line"><span> ├── skill-expert (skill system)</span></span>
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<span class="line"><span> ├── config-expert (configuration)</span></span>
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<span class="line"><span> └── tui-expert (TUI components)</span></span>
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<span class="line"><span></span></span>
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<span class="line"><span>Each expert:</span></span>
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<span class="line"><span> 1. Fetches latest documentation (firecrawl + curl fallback)</span></span>
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<span class="line"><span> 2. Synthesizes patterns</span></span>
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<span class="line"><span> 3. Returns structured guidance</span></span>
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<span class="line"><span></span></span>
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<span class="line"><span>pi-pi → generates complete extension code</span></span></code></pre></div><hr><h2 id="lesson-7-4-beyond-mcp-—-the-context-cost-trade-off" tabindex="-1">Lesson 7.4: Beyond MCP — The Context Cost Trade-off <a class="header-anchor" href="#lesson-7-4-beyond-mcp-—-the-context-cost-trade-off" aria-label="Permalink to "Lesson 7.4: Beyond MCP — The Context Cost Trade-off""></a></h2><h3 id="the-matrix" tabindex="-1">The Matrix <a class="header-anchor" href="#the-matrix" aria-label="Permalink to "The Matrix""></a></h3><table tabindex="0"><thead><tr><th>Approach</th><th>Context Cost</th><th>Portability</th><th>Agent-Invoked?</th><th>Best For</th></tr></thead><tbody><tr><td>MCP Server</td><td>HIGH (full context per call)</td><td>HIGH</td><td>Yes</td><td>Multi-client, standardized tools</td></tr><tr><td>CLI</td><td>MEDIUM</td><td>HIGH</td><td>No</td><td>80% of new tools</td></tr><tr><td>File Scripts</td><td>LOW (progressive disclosure)</td><td>MEDIUM</td><td>No</td><td>Context-sensitive tools</td></tr><tr><td>Skills</td><td>LOW</td><td>MEDIUM</td><td>Yes (auto-detect)</td><td>Agent-native behavior</td></tr></tbody></table><h3 id="the-insight" tabindex="-1">The Insight <a class="header-anchor" href="#the-insight" aria-label="Permalink to "The Insight""></a></h3><p>MCP is not always the answer. For tools used by 1-2 agents, CLI + prime prompt is faster, cheaper on context, and easier to debug. MCP shines for tools used by many agents across many clients.</p><hr><h2 id="lesson-7-5-the-mac-mini-agent-—-physical-sandbox" tabindex="-1">Lesson 7.5: The Mac Mini Agent — Physical Sandbox <a class="header-anchor" href="#lesson-7-5-the-mac-mini-agent-—-physical-sandbox" aria-label="Permalink to "Lesson 7.5: The Mac Mini Agent — Physical Sandbox""></a></h2><h3 id="architecture" tabindex="-1">Architecture <a class="header-anchor" href="#architecture" aria-label="Permalink to "Architecture""></a></h3><div class="language- vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang"></span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>Mac Mini (Agent Sandbox)</span></span>
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<span class="line"><span> ├── Steer (GUI automation) — Swift, 14 commands</span></span>
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<span class="line"><span> │ see, click, type, hotkey, ocr, find, wait</span></span>
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<span class="line"><span> ├── Drive (Terminal control) — Python, 6 commands</span></span>
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<span class="line"><span> │ session, run, send, poll, fanout</span></span>
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<span class="line"><span> └── Listen (Job server) — Python/FastAPI</span></span>
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<span class="line"><span> POST /job, GET /job/{id}</span></span>
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<span class="line"><span></span></span>
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<span class="line"><span>Primary Machine (Dev)</span></span>
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<span class="line"><span> └── Direct CLI client</span></span>
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<span class="line"><span> start, get, list, latest, stop</span></span></code></pre></div><h3 id="sentinel-pattern" tabindex="-1">Sentinel Pattern <a class="header-anchor" href="#sentinel-pattern" aria-label="Permalink to "Sentinel Pattern""></a></h3><p>Makes async terminal work deterministic:</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;"># Agent runs command, appends sentinel</span></span>
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<span class="line"><span style="--shiki-light:#6F42C1;--shiki-dark:#B392F0;">long_running_task</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">; </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">echo</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> "__DONE_abc123:</span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">$?</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"</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;"># Agent polls for sentinel pattern</span></span>
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<span class="line"><span style="--shiki-light:#6F42C1;--shiki-dark:#B392F0;">poll</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> logs</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> for</span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;"> "__DONE_abc123"</span></span>
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<span class="line"><span style="--shiki-light:#6A737D;--shiki-dark:#6A737D;"># Extract exit code from sentinel</span></span></code></pre></div><hr><h2 id="lesson-7-6-always-on-agents" tabindex="-1">Lesson 7.6: Always-On Agents <a class="header-anchor" href="#lesson-7-6-always-on-agents" aria-label="Permalink to "Lesson 7.6: Always-On Agents""></a></h2><h3 id="voice-to-command-bridge" tabindex="-1">Voice-to-Command Bridge <a class="header-anchor" href="#voice-to-command-bridge" aria-label="Permalink to "Voice-to-Command Bridge""></a></h3><div class="language- vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang"></span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>User speaks → STT (faster-whisper) → LLM transcribes to command → Execute → TTS response</span></span></code></pre></div><h3 id="job-server-pattern" tabindex="-1">Job Server Pattern <a class="header-anchor" href="#job-server-pattern" aria-label="Permalink to "Job Server Pattern""></a></h3><div class="language- vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang"></span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>Submit → Queue → Worker picks up → Claude Code executes → Result stored → Check later</span></span></code></pre></div><h3 id="heartbeat-execution-from-paperclip" tabindex="-1">Heartbeat Execution (from Paperclip) <a class="header-anchor" href="#heartbeat-execution-from-paperclip" aria-label="Permalink to "Heartbeat Execution (from Paperclip)""></a></h3><div class="language- vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang"></span><pre class="shiki shiki-themes github-light github-dark vp-code" tabindex="0"><code><span class="line"><span>Timer fires → Check for queued work → Wake agent → Agent executes → Agent sleeps</span></span></code></pre></div><p>No continuous running. Agents wake, work, and sleep on a schedule.</p><h3 id="scheduling-strategies" tabindex="-1">Scheduling Strategies <a class="header-anchor" href="#scheduling-strategies" aria-label="Permalink to "Scheduling Strategies""></a></h3><table tabindex="0"><thead><tr><th>Strategy</th><th>Pattern</th><th>Use Case</th></tr></thead><tbody><tr><td>Fixed interval</td><td>Every N minutes/hours/days</td><td>Brand monitoring, price tracking</td></tr><tr><td>Event-triggered</td><td>Webhook → wake agent</td><td>CI/CD pipelines, PR reviews</td></tr><tr><td>Predictive</td><td>Learn optimal check times</td><td>Traffic monitoring, anomaly detection</td></tr><tr><td>Cascade</td><td>Agent A finishes → Agent B starts</td><td>Data pipeline, ETL workflows</td></tr></tbody></table><h3 id="openclaw-the-always-on-employee" tabindex="-1">OpenClaw: The Always-On Employee <a class="header-anchor" href="#openclaw-the-always-on-employee" aria-label="Permalink to "OpenClaw: The Always-On Employee""></a></h3><p>OpenClaw is a daemon-style agent that runs as a background service:</p><div class="language-yaml vp-adaptive-theme"><button title="Copy Code" class="copy"></button><span class="lang">yaml</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;"># openclaw-config.yaml</span></span>
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<span class="line"><span style="--shiki-light:#22863A;--shiki-dark:#85E89D;">agent</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">:</span></span>
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<span class="line"><span style="--shiki-light:#22863A;--shiki-dark:#85E89D;"> name</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"brand-monitor"</span></span>
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<span class="line"><span style="--shiki-light:#22863A;--shiki-dark:#85E89D;"> heartbeat</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">300</span><span style="--shiki-light:#6A737D;--shiki-dark:#6A737D;"> # every 5 minutes</span></span>
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<span class="line"><span style="--shiki-light:#22863A;--shiki-dark:#85E89D;"> max_sessions</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#005CC5;--shiki-dark:#79B8FF;">1</span></span>
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<span class="line"><span style="--shiki-light:#22863A;--shiki-dark:#85E89D;"> wake_command</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"claude -p 'Check brand mentions since last run'"</span></span>
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<span class="line"><span style="--shiki-light:#22863A;--shiki-dark:#85E89D;"> sleep_command</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"pkill -f 'claude.*brand-monitor'"</span></span>
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<span class="line"><span style="--shiki-light:#22863A;--shiki-dark:#85E89D;"> log_path</span><span style="--shiki-light:#24292E;--shiki-dark:#E1E4E8;">: </span><span style="--shiki-light:#032F62;--shiki-dark:#9ECBFF;">"/var/log/openclaw/brand-monitor.log"</span></span></code></pre></div><p>It starts, checks for work, executes if needed, then goes back to sleep. No continuous billing, no context window overflow, no runaway loops. This is the pattern for production always-on agents.</p><h3 id="when-not-to-use-always-on" tabindex="-1">When NOT to Use Always-On <a class="header-anchor" href="#when-not-to-use-always-on" aria-label="Permalink to "When NOT to Use Always-On""></a></h3><p>Always-on adds complexity. Before building one, verify you actually need it:</p><ul><li><strong>Batch jobs</strong> → Cron is simpler and cheaper</li><li><strong>Real-time</strong> → Event-driven architectures (webhooks, Kafka) outperform polling agents</li><li><strong>One-off</strong> → Just run the agent once</li></ul><p>Always-on makes sense when you need adaptive scheduling, dynamic task generation, or autonomous decision-making about what to work on next.</p><hr><h2 id="lab-7-7-build-an-autoresearch-loop" tabindex="-1">Lab 7.7: Build an Autoresearch Loop <a class="header-anchor" href="#lab-7-7-build-an-autoresearch-loop" aria-label="Permalink to "Lab 7.7: Build an Autoresearch Loop""></a></h2><p><strong>Objective</strong>: Agent runs experiment, measures result, logs it, decides keep/discard.</p><p><strong>Starter</strong>: <code>course/labs/L7-autoresearch/starter.py</code></p><p><strong>Checkpoints</strong>:</p><ol><li>Run code, measure baseline metric</li><li>Modify code (agent makes change)</li><li>Re-measure, compare, log</li><li>Discard if regression, keep if improvement</li><li>Include integrity guard (code hashing)</li></ol><h2 id="lab-7-8-meta-agent" tabindex="-1">Lab 7.8: Meta-Agent <a class="header-anchor" href="#lab-7-8-meta-agent" aria-label="Permalink to "Lab 7.8: Meta-Agent""></a></h2><p><strong>Objective</strong>: Agent generates a new agent persona from documentation.</p><p><strong>Starter</strong>: <code>course/labs/L7-meta-agent/starter.py</code></p>`,62)])])}const g=a(n,[["render",l]]);export{c as __pageData,g as default};
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