{
  "id": "bbg-p0386-platform-selection-and-tradeoffs-platform",
  "title": "AI Agent Tech Stack",
  "chapter": "ai-agents-and-tool-use",
  "batch": "02",
  "rank": 17,
  "sourcePage": 386,
  "sourcePointer": "p. 386",
  "status": "accepted",
  "reviewerStatus": "reviewed",
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  "canvas": {
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    "height": 640
  },
  "fireworksTechGraph": {
    "style": "style-1-flat-icon",
    "diagramType": "architecture",
    "topologyNotes": [
      "source page render inspected",
      "extracted page text inspected",
      "source page render and extracted text inspected",
      "preserve stack categories: foundation models, data storage, development frameworks, and observability",
      "omit product logos, vendor marks, and decorative source layout",
      "retargeted from platform-selection to ai-agents-and-tool-use"
    ],
    "publicBoundary": [
      "original vector output",
      "no source pixels",
      "no source mark or long wording"
    ]
  },
  "callouts": [],
  "sourceReview": {
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      "concept: foundation models as agent brains",
      "concept: vector databases and memory storage",
      "concept: agent development frameworks",
      "concept: observability for monitoring and debugging"
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    "labelSource": "curated",
    "semanticStatus": "reviewed"
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      "label": "Reasoning core",
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    },
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      "id": "state",
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    },
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      "id": "runtime",
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    }
  ],
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      "id": "agent",
      "kind": "hex",
      "label": "Agent",
      "detail": "goal loop",
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      "id": "model",
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    },
    {
      "id": "vector",
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      "label": "Vector store",
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    },
    {
      "id": "memory",
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      "label": "Memory store",
      "detail": "context history",
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      "h": 76,
      "tone": "teal"
    },
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      "detail": "trace debug log",
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  ],
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    {
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    {
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      "dashed": true
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    {
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    {
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    {
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}