{
  "id": "tool:fireworks-ai",
  "_kind": "Tool",
  "_file": "domain/tools/tools-ora-operations-discovery.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Fireworks AI",
    "homepageUrl": "https://fireworks.ai",
    "kind": "api-tool",
    "description": "LLM inference and model-serving API surfaced by Ora for LLMOps, prompt evaluation, and model monitoring workflows.\n",
    "ora": {
      "domain": "fireworks.ai",
      "score": 75,
      "grade": "B",
      "category": "AI & ML",
      "tags": [
        "llm",
        "inference",
        "ai api",
        "fast inference",
        "model serving"
      ],
      "scoreUrl": "https://ora.run/score/fireworks.ai"
    }
  },
  "outgoingEdges": [
    {
      "from": "tool:fireworks-ai",
      "to": "source-ref:ora-discover-api",
      "kind": "sourced_from"
    },
    {
      "from": "tool:fireworks-ai",
      "to": "role:ml-engineer",
      "kind": "supports_work",
      "attributes": {
        "confidence": "high",
        "evidence": "Hosted inference supports model-serving and evaluation workflows."
      }
    },
    {
      "from": "tool:fireworks-ai",
      "to": "workflow:agent-evaluation-cycle",
      "kind": "supports_work",
      "attributes": {
        "confidence": "medium",
        "evidence": "Model API outputs can be compared across prompts, eval suites, and agent runs."
      }
    },
    {
      "from": "tool:fireworks-ai",
      "to": "workflow:llm-cost-optimization",
      "kind": "supports_work",
      "attributes": {
        "confidence": "medium",
        "evidence": "Inference provider choice affects cost, latency, and throughput trade-offs."
      }
    }
  ],
  "incomingEdges": [
    {
      "from": "agent-readiness-score:ora.fireworks-ai",
      "to": "tool:fireworks-ai",
      "kind": "scores_agent_readiness_of",
      "attributes": {
        "observedVia": "ora-discover-api"
      }
    },
    {
      "from": "tool-server:mcp-fireworks-ai-candidate",
      "to": "tool:fireworks-ai",
      "kind": "integrates_with",
      "attributes": {}
    }
  ]
}