copilotkit__copilotkit/showcase/aimock/d6/langgraph-python/beautiful-chat.json

{
  "_meta": {
    "description": "D6 fixtures for langgraph-python / beautiful-chat",
    "sourceFile": "d5-all.json",
    "created": "2026-05-21"
  },
  "fixtures": [
    {
      "match": {
        "userMessage": "d5 beautiful-chat probe: bar chart of expenses by category",
        "hasToolResult": false,
        "context": "langgraph-python"
      },
      "response": {
        "toolCalls": [
          {
            "id": "call_d5_bc_bar_chart_001",
            "name": "barChart",
            "arguments": "{\"title\":\"Expenses by Category\",\"description\":\"Monthly expense breakdown\",\"data\":[{\"label\":\"Rent\",\"value\":15000},{\"label\":\"Salaries\",\"value\":80000},{\"label\":\"Marketing\",\"value\":12000},{\"label\":\"Travel\",\"value\":5000}]}"
          }
        ]
      }
    },
    {
      "match": {
        "userMessage": "d5 beautiful-chat probe: bar chart of expenses by category",
        "hasToolResult": true,
        "context": "langgraph-python"
      },
      "response": {
        "content": "Bar chart rendered above — Salaries dominate at $80k, with Rent at $15k as the next-largest category."
      }
    },
    {
      "match": {
        "userMessage": "d5 beautiful-chat probe: pie chart of revenue distribution by category",
        "hasToolResult": false,
        "context": "langgraph-python"
      },
      "response": {
        "toolCalls": [
          {
            "id": "call_d5_bc_pie_chart_001",
            "name": "pieChart",
            "arguments": "{\"title\":\"Revenue by Category\",\"description\":\"Breakdown of revenue across product categories\",\"data\":[{\"label\":\"Electronics\",\"value\":42000},{\"label\":\"Clothing\",\"value\":28000},{\"label\":\"Food\",\"value\":18000},{\"label\":\"Books\",\"value\":12000}]}"
          }
        ]
      }
    },
    {
      "match": {
        "userMessage": "d5 beautiful-chat probe: pie chart of revenue distribution by category",
        "hasToolResult": true,
        "context": "langgraph-python"
      },
      "response": {
        "content": "Pie chart rendered above — Electronics leads at $42k, followed by Clothing, Food, and Books."
      }
    },
    {
      "match": {
        "userMessage": "d5 beautiful-chat probe: schedule a 30-minute meeting to learn about CopilotKit",
        "hasToolResult": false,
        "context": "langgraph-python"
      },
      "response": {
        "toolCalls": [
          {
            "id": "call_d5_bc_schedule_time_001",
            "name": "scheduleTime",
            "arguments": "{\"reasonForScheduling\":\"Learn about CopilotKit\",\"meetingDuration\":30}"
          }
        ]
      }
    },
    {
      "match": {
        "userMessage": "d5 beautiful-chat probe: schedule a 30-minute meeting to learn about CopilotKit",
        "hasToolResult": true,
        "context": "langgraph-python"
      },
      "response": {
        "content": "Meeting scheduled — calendar invite is on its way."
      }
    },
    {
      "match": {
        "userMessage": "d5 beautiful-chat probe: toggle the theme",
        "hasToolResult": false,
        "context": "langgraph-python"
      },
      "response": {
        "toolCalls": [
          {
            "id": "call_d5_bc_toggle_theme_001",
            "name": "toggleTheme",
            "arguments": "{}"
          }
        ]
      }
    },
    {
      "match": {
        "userMessage": "d5 beautiful-chat probe: toggle the theme",
        "hasToolResult": true,
        "context": "langgraph-python"
      },
      "response": {
        "content": "Theme toggled."
      }
    }
  ]
}