{
  "nodes": [
    {
      "id": 1,
      "type": "asl/entry",
      "pos": [
        1027.1896847946828,
        652.6027483044035
      ],
      "size": [
        200,
        30
      ],
      "flags": {},
      "order": 0,
      "mode": 0,
      "outputs": [
        {
          "name": "next",
          "type": "flow",
          "links": [
            1
          ]
        }
      ],
      "title": "EntryPoint",
      "properties": {
        "title": "EntryPoint",
        "initial_state": {
          "landmarks": "str",
          "state_guess": "str",
          "flag": "str"
        }
      },
      "color": "#334155",
      "bgcolor": "#1E293B"
    },
    {
      "id": 2,
      "type": "asl/llm",
      "pos": [
        1390,
        617
      ],
      "size": [
        200,
        104
      ],
      "flags": {},
      "order": 1,
      "mode": 0,
      "inputs": [
        {
          "name": "in",
          "type": "flow",
          "link": 1
        },
        {
          "name": "in2",
          "type": "flow",
          "link": null
        }
      ],
      "outputs": [
        {
          "name": "out",
          "type": "flow",
          "links": null
        }
      ],
      "title": "Geo Detective",
      "properties": {
        "title": "Geo Detective",
        "output_key": "llm_output",
        "input_state_keys": [],
        "output_state_keys": [
          "landmarks",
          "state_guess",
          "flag"
        ],
        "system_prompt": "**Role:** You are a Geography Detective. Locate Waldo by identifying which US state he is hiding in, based on landmark clues.\n\n**Objective:** Call waldo_landmarks to get clues, deduce the US state, then call guess_state to retrieve the CTF flag.\n\n**Tools Available:**\n1. waldo_landmarks  No arguments. Returns landmark names near Waldo's location. The response arrives as text in content[0].text. CALL THIS FIRST.\n2. guess_state  One required argument: state (str). The full US state name with proper capitalization (e.g. 'California', 'New York'). Returns the flag if correct, or an error if wrong. Response is in content[0].text.\n\n**Execution Steps:**\nStep 1: Call waldo_landmarks with no arguments. Read the landmark names from content[0].text carefully.\nStep 2: For each landmark, identify which US city it belongs to, then which state that city is in.\n  Disambiguation table (landmark -> city -> state):\n  - Space Needle -> Seattle -> Washington\n  - French Quarter / Bourbon Street / Superdome -> New Orleans -> Louisiana\n  - Liberty Bell / Independence Hall / Rocky Steps -> Philadelphia -> Pennsylvania\n  - Golden Gate Bridge / Alcatraz / Fisherman's Wharf -> San Francisco -> California\n  - Statue of Liberty / Times Square / Central Park / Brooklyn Bridge -> New York City -> New York\n  - Grand Ole Opry / Country Music Hall of Fame / Ryman Auditorium -> Nashville -> Tennessee\n  - Cloud Gate / Willis Tower / Navy Pier / Millennium Park -> Chicago -> Illinois\n  - Gateway Arch -> St. Louis -> Missouri\n  - Fenway Park / Freedom Trail / Bunker Hill -> Boston -> Massachusetts\n  - Pearl Harbor / Diamond Head / Iolani Palace -> Honolulu -> Hawaii\n  - Mount Rushmore -> Keystone -> South Dakota\n  - Alamo -> San Antonio -> Texas\n  - Space Center Houston -> Houston -> Texas\n  - Walt Disney World / Kennedy Space Center -> Orlando/Brevard -> Florida\n  - Pike Place Market / Seattle Art Museum -> Seattle -> Washington\n  - If landmarks point to different cities, pick the state that matches the majority (2 out of 3).\nStep 3: Call guess_state with the full state name. Use proper capitalization  'New York' not 'new york' or 'NY'.\nStep 4: Read content[0].text from the response. If it indicates a wrong guess, try the next most likely state.\nStep 5: Repeat until content[0].text contains a flag (starts with 'ictf{' or similar CTF flag format). Record it.\n\n**Constraints:** Do not guess the same state twice. If unsure between two states, try both before giving up.\n\n**Output:** Populate all three structured output fields:\n- landmarks: the landmark names from waldo_landmarks, comma-separated\n- state_guess: the state name that returned the flag\n- flag: the full flag string (e.g. ictf{...})",
        "human_prompt": "Find Waldo. Call waldo_landmarks first to get the landmark clues, identify the correct US state, then call guess_state to retrieve the flag.",
        "structured_output_enabled": true,
        "structured_output_schema": [
          {
            "name": "landmarks",
            "type": "str",
            "description": "The landmark names returned by waldo_landmarks, comma-separated"
          },
          {
            "name": "state_guess",
            "type": "str",
            "description": "The full US state name that successfully returned the flag"
          },
          {
            "name": "flag",
            "type": "str",
            "description": "The flag string (e.g. ictf{...}) returned by guess_state"
          }
        ],
        "selected_tools": [
          "waldo_landmarks",
          "guess_state"
        ],
        "max_tool_iterations": 20,
        "iteration_warning_message": "You are close to the tool iteration limit. Call guess_state now with your best remaining state guess. Do not call waldo_landmarks again.",
        "_has_multiple_inputs": false
      },
      "color": "#334155",
      "bgcolor": "#1E293B"
    }
  ],
  "links": [
    [
      1,
      1,
      0,
      2,
      0,
      "flow"
    ]
  ],
  "groups": [],
  "config": {
    "state_schema": {
      "count": "int",
      "messages": "Annotated[List[BaseMessage], lambda x, y: x + y]",
      "landmarks": "str",
      "state_guess": "str",
      "flag": "str"
    }
  }
}