context-course/pr_7/en/_app/immutable/nodes/26.eb2be192.js

import{s as Ml,a as il,n as pl,o as rl}from"../chunks/scheduler.4048030c.js";import{S as yl,i as wl,e as M,s as n,c as r,h as Tl,a as i,d as l,b as a,f as Bt,j as y,g as p,k as ce,l as Ul,m as s,n as w,t as T,o as U,p as J}from"../chunks/index.5d0b9360.js";import{C as Jl,H as u,E as ul}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.99c2e6c8.js";import{C as m}from"../chunks/CodeBlock.ff2a3276.js";function ml(kt){let o,fe,be,Ce,j,Ie,c,he,b,Zt="Multi-agent workflows tend to fall into a handful of shapes. We will go over 4 of them that cover almost anything you would build.",$e,d,Et,Be,g,ke,f,Wt="<strong>What it is:</strong> Spawn multiple subagents in parallel for independent subtasks, then aggregate results.",Ze,C,vt="<strong>When to use:</strong> Independent tasks with no dependencies between them.",Ee,I,Ft="<strong>Example:</strong> Evaluate 5 models on the same benchmark.",We,h,ve,$,St="<strong>Pseudocode:</strong>",Fe,B,Se,k,Qt="<strong>Pros:</strong> Fully parallel, max speed, easy to scale",Qe,Z,At="<strong>Cons:</strong> Total time = slowest subagent",Ae,E,Ne,W,Nt="<strong>What it is:</strong> Chain subagents where output of one becomes input to the next.",Re,v,Rt="<strong>When to use:</strong> Sequential processing with data flowing through stages.",Ve,F,Vt="<strong>Example:</strong> Data processing: extract → clean → analyze → report",Ge,S,He,Q,Gt="<strong>Pseudocode:</strong>",Xe,A,ze,N,Ht="<strong>Pros:</strong> Clear stages, easy to track progress, failures are local",Ye,R,Xt="<strong>Cons:</strong> No parallelism—each stage waits for previous",xe,V,_e,G,zt="<strong>What it is:</strong> Parent agent directs multiple specialized subagents, each with different tools and expertise.",Pe,H,Yt="<strong>When to use:</strong> Complex tasks requiring multiple specialist agents.",qe,X,xt="<strong>Example:</strong> Product launch report needs sales, engineering, and marketing data.",Le,z,Ke,Y,_t="<strong>Pseudocode:</strong>",Oe,x,De,_,Pt="<strong>Pros:</strong> Specialized agents, clean separation of tools, parallel execution",et,P,qt="<strong>Cons:</strong> More complex coordination",tt,q,lt,L,Lt="<strong>What it is:</strong> Multiple subagents work on the same problem, comparing approaches and converging on best solution.",st,K,Kt="<strong>When to use:</strong> Complex problems where multiple perspectives improve quality.",nt,O,Ot="<strong>Example:</strong> Design review with architect, security, and performance subagents.",at,D,Mt,ee,Dt="<strong>Pseudocode:</strong>",it,te,pt,le,el="<strong>Pros:</strong> Multiple perspectives improve quality, catches blind spots",rt,se,tl="<strong>Cons:</strong> Can be slow (requires multiple rounds)",yt,ne,wt,ae,ll="<thead><tr><th>Pattern</th> <th>Use Case</th> <th>Parallelism</th> <th>Coordination</th></tr></thead> <tbody><tr><td><strong>Fan-Out/Fan-In</strong></td> <td>Independent tasks</td> <td>High</td> <td>Low</td></tr> <tr><td><strong>Pipeline</strong></td> <td>Sequential stages</td> <td>None</td> <td>Medium</td></tr> <tr><td><strong>Supervisor</strong></td> <td>Multiple specialists</td> <td>Medium-High</td> <td>Medium-High</td></tr> <tr><td><strong>Swarm</strong></td> <td>Collaborative design</td> <td>Low-Medium</td> <td>High</td></tr></tbody>",Tt,Me,Ut,ie,sl="We covered the high-level guidance in the unit introduction. Here’s how it plays out in practice with code examples.",Jt,pe,ut,re,mt,ye,dt,we,ot,Te,jt,Ue,ct,Je,bt,ue,gt,me,ft,de,nl="Fan-out/fan-in parallelises independent work, pipeline chains stages, supervisor coordinates specialists, and swarm cross-reviews a single artefact. Reach for subagents when you have many files or several independent tasks; stick with a single agent for small jobs and tightly coupled workflows.",Ct,oe,al="Next, how to actually invoke subagents in Claude Code and Codex.",It,je,ht,ge,$t;return j=new Jl({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),c=new u({props:{title:"Subagent Patterns",local:"subagent-patterns",headingTag:"h1"}}),g=new u({props:{title:"Pattern 1: Fan-Out / Fan-In",local:"pattern-1-fan-out--fan-in",headingTag:"h2"}}),h=new m({props:{code:"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",highlighted:`<span class="hljs-symbol">Parent:</span> <span class="hljs-string">&quot;Compare models&quot;</span>
├─ <span class="hljs-keyword">Subagent </span><span class="hljs-number">1</span>: Evaluate Model A → <span class="hljs-keyword">Score: </span><span class="hljs-number">92</span>%
├─ <span class="hljs-keyword">Subagent </span><span class="hljs-number">2</span>: Evaluate Model <span class="hljs-keyword">B </span>→ <span class="hljs-keyword">Score: </span><span class="hljs-number">89</span>%
├─ <span class="hljs-keyword">Subagent </span><span class="hljs-number">3</span>: Evaluate Model C → <span class="hljs-keyword">Score: </span><span class="hljs-number">94</span>%
├─ <span class="hljs-keyword">Subagent </span><span class="hljs-number">4</span>: Evaluate Model D → <span class="hljs-keyword">Score: </span><span class="hljs-number">88</span>%
└─ <span class="hljs-keyword">Subagent </span><span class="hljs-number">5</span>: Evaluate Model E → <span class="hljs-keyword">Score: </span><span class="hljs-number">91</span>%
<span class="hljs-symbol">
Parent:</span> Aggregate → Ranking report`,wrap:!1}}),B=new m({props:{code:"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",highlighted:`parent_agent:
    subagents = []
    for model in [A, B, C, D, E]:
        subagent = spawn(
            task=f&quot;Evaluate {model}&quot;,
            context={model}
        )
        subagents.append(subagent)
    
    results = wait_all(subagents)
    report = aggregate(results)
    return report`,wrap:!1}}),E=new u({props:{title:"Pattern 2: Pipeline",local:"pattern-2-pipeline",headingTag:"h2"}}),S=new m({props:{code:"UmF3JTIwRGF0YSUwQSUyMCUyMCVFMiU4NiU5MyUwQSU1QlN1YmFnZW50JTIwMSUzQSUyMEV4dHJhY3QlNUQlMEElMjAlMjAlRTIlODYlOTMlMEFFeHRyYWN0ZWQlMjBEYXRhJTBBJTIwJTIwJUUyJTg2JTkzJTBBJTVCU3ViYWdlbnQlMjAyJTNBJTIwQ2xlYW4lNUQlMEElMjAlMjAlRTIlODYlOTMlMEFDbGVhbiUyMERhdGElMEElMjAlMjAlRTIlODYlOTMlMEElNUJTdWJhZ2VudCUyMDMlM0ElMjBBbmFseXplJTVEJTBBJTIwJTIwJUUyJTg2JTkzJTBBUmVzdWx0cyUwQSUyMCUyMCVFMiU4NiU5MyUwQSU1QlN1YmFnZW50JTIwNCUzQSUyMFJlcG9ydCU1RCUwQSUyMCUyMCVFMiU4NiU5MyUwQUZpbmFsJTIwUmVwb3J0",highlighted:`Raw Data
  ↓
[<span class="hljs-keyword">Subagent </span><span class="hljs-number">1</span>: <span class="hljs-keyword">Extract]
</span>  ↓
<span class="hljs-keyword">Extracted </span>Data
  ↓
[<span class="hljs-keyword">Subagent </span><span class="hljs-number">2</span>: Clean]
  ↓
Clean Data
  ↓
[<span class="hljs-keyword">Subagent </span><span class="hljs-number">3</span>: Analyze]
  ↓
Results
  ↓
[<span class="hljs-keyword">Subagent </span><span class="hljs-number">4</span>: Report]
  ↓
Final Report`,wrap:!1}}),A=new m({props:{code:"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",highlighted:`parent_agent:
    data = load_raw_data()
    
    extracted = spawn(task=&quot;Extract&quot;, input=data).wait()
    cleaned = spawn(task=&quot;Clean&quot;, input=extracted).wait()
    analyzed = spawn(task=&quot;Analyze&quot;, input=cleaned).wait()
    report = spawn(task=&quot;Report&quot;, input=analyzed).wait()
    
    return report`,wrap:!1}}),V=new u({props:{title:"Pattern 3: Supervisor (Hierarchical)",local:"pattern-3-supervisor-hierarchical",headingTag:"h2"}}),z=new m({props:{code:"UGFyZW50JTIwQWdlbnQlMjAoT3JjaGVzdHJhdG9yKSUwQSVFMiU5NCU5QyVFMiU5NCU4MCUyMFNhbGVzJTIwU3ViYWdlbnQlMjAoaGFzJTNBJTIwQ1JNJTIwdG9vbHMlMkMlMjByZXZlbnVlJTIwbWV0cmljcyklMEElRTIlOTQlOUMlRTIlOTQlODAlMjBFbmdpbmVlcmluZyUyMFN1YmFnZW50JTIwKGhhcyUzQSUyMEdpdEh1YiUyMEFQSSUyQyUyMGRlcGxveW1lbnQlMjB0b29scyklMEElRTIlOTQlOTQlRTIlOTQlODAlMjBNYXJrZXRpbmclMjBTdWJhZ2VudCUyMChoYXMlM0ElMjBhbmFseXRpY3MlMkMlMjBzb2NpYWwlMjB0b29scyklMEElMEFQYXJlbnQlMjBhZ2dyZWdhdGVzJTIwJUUyJTg2JTkyJTIwTGF1bmNoJTIwUmVwb3J0",highlighted:`Parent <span class="hljs-title function_">Agent</span> <span class="hljs-params">(Orchestrator)</span>
├─ Sales <span class="hljs-title function_">Subagent</span> <span class="hljs-params">(has: CRM tools, revenue metrics)</span>
├─ Engineering <span class="hljs-title function_">Subagent</span> <span class="hljs-params">(has: GitHub API, deployment tools)</span>
└─ Marketing <span class="hljs-title function_">Subagent</span> <span class="hljs-params">(has: analytics, social tools)</span>

Parent aggregates → Launch Report`,wrap:!1}}),x=new m({props:{code:"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",highlighted:`parent_agent:
    sales = spawn(
        task=&quot;Get sales metrics&quot;,
        tools=[crm, revenue_db]
    )
    engineering = spawn(
        task=&quot;Get feature status&quot;,
        tools=[github, ci_cd]
    )
    marketing = spawn(
        task=&quot;Get market sentiment&quot;,
        tools=[analytics, social]
    )
    
    results = wait_all([sales, engineering, marketing])
    report = combine(results)
    return report`,wrap:!1}}),q=new u({props:{title:"Pattern 4: Swarm (Collaborative)",local:"pattern-4-swarm-collaborative",headingTag:"h2"}}),D=new m({props:{code:"UGFyZW50JTNBJTIwJTIyRGVzaWduJTIwbmV3JTIwQVBJJTIyJTBBJUUyJTk0JTlDJUUyJTk0JTgwJTIwU3ViYWdlbnQlMjAxJTIwKEFyY2hpdGVjdCklM0ElMjBSZXZpZXclMjBzdHJ1Y3R1cmUlMEElRTIlOTQlOUMlRTIlOTQlODAlMjBTdWJhZ2VudCUyMDIlMjAoU2VjdXJpdHkpJTNBJTIwUmV2aWV3JTIwZm9yJTIwdnVsbmVyYWJpbGl0aWVzJTBBJUUyJTk0JTlDJUUyJTk0JTgwJTIwU3ViYWdlbnQlMjAzJTIwKFBlcmZvcm1hbmNlKSUzQSUyMFJldmlldyUyMGZvciUyMGJvdHRsZW5lY2tzJTBBJTBBUGFyZW50JTNBJTIwSW5jb3Jwb3JhdGUlMjBmZWVkYmFjayUyMCVFMiU4NiU5MiUyMEZpbmFsJTIwZGVzaWdu",highlighted:`<span class="hljs-symbol">Parent:</span> <span class="hljs-string">&quot;Design new API&quot;</span>
├─ <span class="hljs-keyword">Subagent </span><span class="hljs-number">1</span> (Architect): Review structure
├─ <span class="hljs-keyword">Subagent </span><span class="hljs-number">2</span> (Security): Review for vulnerabilities
├─ <span class="hljs-keyword">Subagent </span><span class="hljs-number">3</span> (Performance): Review for <span class="hljs-keyword">bottlenecks
</span><span class="hljs-symbol">
Parent:</span> Incorporate feedback → Final design`,wrap:!1}}),te=new m({props:{code:"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",highlighted:`parent_agent:
    design = &quot;Initial API design...&quot;
    
    # Round 1: Independent reviews
    architect_review = spawn(task=f&quot;Review design as architect&quot;, input=design).wait()
    security_review = spawn(task=f&quot;Review design for security&quot;, input=design).wait()
    perf_review = spawn(task=f&quot;Review design for performance&quot;, input=design).wait()
    
    # Incorporate feedback
    improved_design = combine(design, architect_review, security_review, perf_review)
    
    return improved_design`,wrap:!1}}),ne=new u({props:{title:"Pattern Comparison",local:"pattern-comparison",headingTag:"h2"}}),Me=new u({props:{title:"When NOT to Use Subagents",local:"when-not-to-use-subagents",headingTag:"h2"}}),pe=new u({props:{title:"1. Sequential Dependent Work",local:"1-sequential-dependent-work",headingTag:"h3"}}),re=new m({props:{code:"JTIzJTIwRE9OJ1QlMjBkbyUyMHRoaXMlMEFzdWJhZ2VudF9hJTIwJTNEJTIwc3Bhd24odGFzayUzRCUyMlN0ZXAlMjAxJTNBJTIwU2V0JTIwdXAlMjBlbnZpcm9ubWVudCUyMikud2FpdCgpJTBBc3ViYWdlbnRfYiUyMCUzRCUyMHNwYXduKHRhc2slM0QlMjJTdGVwJTIwMiUzQSUyMERlcGxveSUyMGNvZGUlMjIlMkMlMjBpbnB1dCUzRHN1YmFnZW50X2EpLndhaXQoKSUwQSUwQSUyMyUyMEJFVFRFUiUzQSUyMFNpbmdsZSUyMGFnZW50JTIwZm9yJTIwc2VxdWVudGlhbCUyMHdvcmslMEFzaW5nbGVfYWdlbnQodGFzayUzRCUyMlNldCUyMHVwJTIwZW52aXJvbm1lbnQlMkMlMjB0aGVuJTIwZGVwbG95JTIyKQ==",highlighted:`# DON&#x27;T do this
subagent_a = spawn(task=&quot;Step 1: Set up environment&quot;).wait()
subagent_b = spawn(task=&quot;Step 2: Deploy code&quot;, input=subagent_a).wait()

# BETTER: Single agent for sequential work
single_agent(task=&quot;Set up environment, then deploy&quot;)`,wrap:!1}}),ye=new u({props:{title:"2. Same-File Parallel Edits",local:"2-same-file-parallel-edits",headingTag:"h3"}}),we=new m({props:{code:"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",highlighted:`# DON&#x27;T do this
subagent_a = spawn(task=&quot;Add feature A to app.py&quot;)
subagent_b = spawn(task=&quot;Add feature B to app.py&quot;)  # Conflict!

# BETTER: Fan-out on different files
subagent_a = spawn(task=&quot;Write feature A in feature_a.py&quot;)
subagent_b = spawn(task=&quot;Write feature B in feature_b.py&quot;)`,wrap:!1}}),Te=new u({props:{title:"3. Small Quick Tasks",local:"3-small-quick-tasks",headingTag:"h3"}}),Ue=new m({props:{code:"JTIzJTIwRE9OJ1QlMjBkbyUyMHRoaXMlMjBmb3IlMjBzaW1wbGUlMjB0YXNrcyUwQXN1YmFnZW50JTIwJTNEJTIwc3Bhd24odGFzayUzRCUyMkZvcm1hdCUyMHRoaXMlMjBKU09OJTIyKSUyMCUyMCUyMyUyME92ZXJoZWFkJTNBJTIwMS0ycyUyQyUyMHRhc2slM0ElMjAwLjFzJTBBJTBBJTIzJTIwQkVUVEVSJTNBJTIwRG8lMjBpdCUyMGluJTIwcGFyZW50JTBBZm9ybWF0dGVkJTIwJTNEJTIwanNvbi5kdW1wcyhkYXRhKQ==",highlighted:`# DON&#x27;T do this for simple tasks
subagent = spawn(task=&quot;Format this JSON&quot;)  # Overhead: 1-2s, task: 0.1s

# BETTER: Do it in parent
formatted = json.dumps(data)`,wrap:!1}}),Je=new u({props:{title:"4. Too Many Specialist Agents",local:"4-too-many-specialist-agents",headingTag:"h3"}}),ue=new m({props:{code:"JTIzJTIwRE9OJ1QlMjBkbyUyMHRoaXMlMEFmb3IlMjBpJTIwaW4lMjByYW5nZSgyMCklM0ElMjAlMjAlMjMlMjAyMCUyMHNwZWNpYWxpc3QlMjBzdWJhZ2VudHMlMEElMjAlMjAlMjAlMjBzdWJhZ2VudCUyMCUzRCUyMHNwYXduKHRhc2slM0RmJTIyU3BlY2lhbGlzdCUyMCU3QmklN0QlMjB0YXNrJTIyKSUwQSUwQSUyMyUyMEJFVFRFUiUzQSUyMEdyb3VwJTIwc3BlY2lhbGlzdHMlMEFzZW5pb3JfYXJjaGl0ZWN0JTIwJTNEJTIwc3Bhd24odGFzayUzRCUyMkxlYWQlMjBhcmNoaXRlY3R1cmUlMjBkZXNpZ24lMjIpJTBBaW1wbGVtZW50YXRpb25fdGVhbSUyMCUzRCUyMHNwYXduKHRhc2slM0QlMjJJbXBsZW1lbnQlMjBiYXNlZCUyMG9uJTIwZGVzaWduJTIyKQ==",highlighted:`# DON&#x27;T do this
for i in range(20):  # 20 specialist subagents
    subagent = spawn(task=f&quot;Specialist {i} task&quot;)

# BETTER: Group specialists
senior_architect = spawn(task=&quot;Lead architecture design&quot;)
implementation_team = spawn(task=&quot;Implement based on design&quot;)`,wrap:!1}}),me=new u({props:{title:"Key Takeaways",local:"key-takeaways",headingTag:"h2"}}),je=new 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