const agentDefinition = {
  id: "find-food",
  displayName: "Find Food",
  publisher: "tanzeela",
  version: "0.0.8",
  model: "anthropic/claude-4-sonnet-20250522",
  toolNames: [
    "spawn_agents",
    "run_terminal_command",
    "add_message"
  ],
  spawnableAgents: [
    "tanzeela/research-restaurant@0.0.5"
  ],
  inputSchema: {
    params: {
      type: "object",
      properties: {
        location: {
          type: "string",
          description: "Location to search for restaurants (e.g., \"Mission District SF\", \"Downtown Portland\"). If omitted, location will be auto-detected."
        },
        dietaryRestrictions: {
          type: "array",
          items: {
            type: "string"
          },
          default: [
            "gluten-free",
            "dairy-free",
            "pescatarian"
          ],
          description: "List of dietary restrictions (e.g., [\"gluten-free\", \"dairy-free\", \"pescatarian\"])"
        }
      }
    },
    prompt: {
      type: "string",
      description: "Additional context or preferences for restaurant search (optional)"
    }
  },
  includeMessageHistory: true,
  outputMode: "last_message",
  spawnerPrompt: `Spawn when you need to find nearby restaurants`,
  systemPrompt: ``,
  instructionsPrompt: `
Use the Exa MCP to help me find restaurants that meet the specified dietary restrictions within 1 mile of the specified location.
The dietary restrictions are provided in params.dietaryRestrictions as an array of strings (e.g., ["gluten-free", "dairy-free", "pescatarian"]).
For each candidate restaurant, spawn a research-restaurant agent and pass the dietary restrictions to it. Show the results of all of these agents.
`,
  stepPrompt: ``,
  handleSteps: function* ({ params, logger }) {
    let location = params?.location;
    if (!location) {
      logger.info("No location provided \u2014 detecting via IP geolocation");
      const geoProviders = [
        { url: "https://ipapi.co/json/", parse: (d) => d.city ? [d.city, d.region_code].filter(Boolean).join(", ") : null },
        { url: "https://ipinfo.io/json", parse: (d) => d.city ? [d.city, d.region].filter(Boolean).join(", ") : null },
        { url: "https://ip-api.com/json", parse: (d) => d.city ? [d.city, d.region].filter(Boolean).join(", ") : null }
      ];
      for (const provider of geoProviders) {
        const { toolResult } = yield {
          toolName: "run_terminal_command",
          input: { command: `curl -s ${provider.url}`, timeout_seconds: 10 }
        };
        if (toolResult?.[0]?.type === "json")
          try {
            const geo = JSON.parse(toolResult[0].value.stdout ?? ""), detected = provider.parse(geo);
            if (detected) {
              location = detected;
              logger.info(`Detected location via ${provider.url}: ${location}`);
              break;
            }
          } catch {}
      }
    }
    const restrictions = params?.dietaryRestrictions ?? [];
    yield {
      toolName: "add_message",
      input: {
        role: "user",
        content: location ? `Find restaurants near "${location}" with dietary restrictions: ${JSON.stringify(restrictions)}` : `Could not auto-detect location. Dietary restrictions: ${JSON.stringify(restrictions)}. Please ask the user for their location before searching.`
      }
    };
    yield "STEP_ALL";
  },
  mcpServers: {
    exa: {
      url: "https://mcp.exa.ai/mcp?",
      type: "http",
      params: {},
      headers: {}
    }
  },
  inheritParentSystemPrompt: false
}