如何用 Swarms API 在 n8n、Zapier 和 Make 中加入多智能体步骤

curl -X POST https://api.swarms.world/v1/swarm/completions \
  -H "x-api-key: YOUR_SWARMS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Lead Enrichment",
    "swarm_type": "SequentialWorkflow",
    "max_loops": 1,
    "task": "Research the company Vercel (vercel.com) for a B2B sales team selling observability tooling for serverless platforms. Write a five-bullet brief and end with a fit score from 1 to 10.",
    "agents": [
      {
        "agent_name": "Researcher",
        "system_prompt": "You are a sales researcher. List what the company does, its size, recent news and likely pain points as bullet points.",
        "model_name": "gpt-5.4-mini",
        "max_loops": 1
      },
      {
        "agent_name": "Writer",
        "system_prompt": "You are a sales enablement writer. Turn the research into five bullets a rep can read in 30 seconds, then a line: Fit score: N/10 with one sentence of reasoning.",
        "model_name": "claude-haiku-5-5",
        "max_loops": 1
      }
    ]
  }'

{
  "job_id": "swarm-7a7d8598be78de5902af75c656e00ba2",
  "status": "success",
  "swarm_type": "SequentialWorkflow",
  "output": [
    { "role": "Researcher", "content": "- **What Vercel does:** ..." },
    { "role": "Writer", "content": "- **What they do:** ...\n\nFit score: 8/10. ..." }
  ],
  "number_of_agents": 2,
  "execution_time": 9.66,
  "usage": {
    "total_tokens": 2951,
    "total_cost": 0.022722
  }
}

{{ JSON.stringify({
  name: 'Lead Enrichment',
  swarm_type: 'SequentialWorkflow',
  max_loops: 1,
  task: 'Research the company ' + $json.body.company + ' (' + $json.body.website + ') for a B2B sales team selling ' + $json.body.product + '. Write a five-bullet brief and end with a fit score from 1 to 10.',
  agents: [
    { agent_name: 'Researcher', system_prompt: 'You are a sales researcher. List what the company does, its size, recent news and likely pain points as bullet points.', model_name: 'gpt-5.4-mini', max_loops: 1 },
    { agent_name: 'Writer', system_prompt: 'You are a sales enablement writer. Turn the research into five bullets a rep can read in 30 seconds, then a line: Fit score: N/10 with one sentence of reasoning.', model_name: 'claude-haiku-5-5', max_loops: 1 }
  ]
}) }}

{
  "name": "Swarms lead enrichment",
  "nodes": [
    {
      "parameters": { "httpMethod": "POST", "path": "lead", "responseMode": "responseNode", "options": {} },
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2,
      "position": [0, 0]
    },
    {
      "parameters": {
        "method": "POST",
        "url": "https://api.swarms.world/v1/swarm/completions",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpHeaderAuth",
        "sendBody": true,
        "specifyBody": "json",
        "jsonBody": "={{ JSON.stringify({\n  name: 'Lead Enrichment',\n  swarm_type: 'SequentialWorkflow',\n  max_loops: 1,\n  task: 'Research the company ' + $json.body.company + ' (' + $json.body.website + ') for a B2B sales team selling ' + $json.body.product + '. Write a five-bullet brief and end with a fit score from 1 to 10.',\n  agents: [\n    {\n      agent_name: 'Researcher',\n      system_prompt: 'You are a sales researcher. List what the company does, its size, recent news and likely pain points as bullet points.',\n      model_name: 'gpt-5.4-mini',\n      max_loops: 1\n    },\n    {\n      agent_name: 'Writer',\n      system_prompt: 'You are a sales enablement writer. Turn the research into five bullets a rep can read in 30 seconds, then a line: Fit score: N/10 with one sentence of reasoning.',\n      model_name: 'claude-haiku-5-5',\n      max_loops: 1\n    }\n  ]\n}) }}",
        "options": { "timeout": 120000 }
      },
      "name": "Swarms API",
      "type": "n8n-nodes-base.httpRequest",
      "typeVersion": 4.2,
      "position": [260, 0],
      "credentials": { "httpHeaderAuth": { "id": "REPLACE_WITH_CREDENTIAL_ID", "name": "Swarms API key" } }
    },
    {
      "parameters": {
        "respondWith": "json",
        "responseBody": "={{ { brief: $json.output.at(-1).content, cost_usd: $json.usage.total_cost, job_id: $json.job_id } }}",
        "options": {}
      },
      "name": "Respond",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.1,
      "position": [520, 0]
    }
  ],
  "connections": {
    "Webhook": { "main": [[{ "node": "Swarms API", "type": "main", "index": 0 }]] },
    "Swarms API": { "main": [[{ "node": "Respond", "type": "main", "index": 0 }]] }
  }
}

curl -X POST https://YOUR-N8N-HOST/webhook/lead \
  -H "Content-Type: application/json" \
  -d '{"company": "Vercel", "website": "vercel.com", "product": "observability tooling for serverless platforms"}'

{
  "name": "Lead Enrichment",
  "swarm_type": "SequentialWorkflow",
  "max_loops": 1,
  "task": "Research the company {{Company}} ({{Website}}) for a B2B sales team selling our product. Write a five-bullet brief and end with a fit score from 1 to 10.",
  "agents": [
    {
      "agent_name": "Researcher",
      "system_prompt": "You are a sales researcher. List what the company does, its size, recent news and likely pain points as bullet points.",
      "model_name": "gpt-5.4-mini",
      "max_loops": 1
    },
    {
      "agent_name": "Writer",
      "system_prompt": "You are a sales enablement writer. Turn the research into five bullets a rep can read in 30 seconds, then a line: Fit score: N/10 with one sentence of reasoning.",
      "model_name": "claude-haiku-5-5",
      "max_loops": 1
    }
  ]
}

{
  "name": "Support Triage",
  "swarm_type": "MajorityVoting",
  "max_loops": 1,
  "task": "Classify this support ticket. Reply with exactly one line in the form CATEGORY|PRIORITY|SUMMARY where CATEGORY is one of billing, bug, feature_request, account, other; PRIORITY is one of P1, P2, P3; SUMMARY is under 15 words.\n\nTicket subject: Charged twice this month\nTicket body: I was billed on the 1st and again on the 3rd for the same plan. Please refund one of them.",
  "agents": [
    { "agent_name": "Triage A", "system_prompt": "You are a support triage specialist. Follow the output format exactly.", "model_name": "gpt-5.4-mini", "max_loops": 1 },
    { "agent_name": "Triage B", "system_prompt": "You are a support triage specialist. Follow the output format exactly.", "model_name": "claude-haiku-5-5", "max_loops": 1 },
    { "agent_name": "Triage C", "system_prompt": "You are a support triage specialist. Follow the output format exactly.", "model_name": "gpt-4.1-mini", "max_loops": 1 }
  ]
}

{
  "name": "Weekly Report",
  "swarm_type": "ConcurrentWorkflow",
  "max_loops": 1,
  "task": "Here is last week's data.\n\nRevenue: {{stripe_summary}}\nProduct usage: {{analytics_summary}}\nSupport: {{support_summary}}\n\nWrite your section of the Monday report in under 120 words with one headline number and one recommendation.",
  "agents": [
    { "agent_name": "Revenue", "system_prompt": "You are the finance lead. Cover revenue, churn and anything unusual in the payments data.", "model_name": "gpt-5.4-mini", "max_loops": 1, "max_tokens": 400 },
    { "agent_name": "Product", "system_prompt": "You are the product lead. Cover activation, retention and feature usage.", "model_name": "claude-haiku-5-5", "max_loops": 1, "max_tokens": 400 },
    { "agent_name": "Support", "system_prompt": "You are the support lead. Cover ticket volume, top issues and response times.", "model_name": "gpt-4.1-mini", "max_loops": 1, "max_tokens": 400 }
  ]
}