curl --request GET \
  --url https://be.datagol.ai/conversations/{conversationId}/messages \
  --header 'x-auth-token: <api-key>'

[
  {
    "id": 7902,
    "conversationId": "c920e1f5-2ac7-4f17-aed7-b260e464c022",
    "userId": 206,
    "userQuery": "Can you do a RFM analysis on this data?",
    "modelResponse": [
      {
        "code": null,
        "data": "Here’s the plan and step-by-step pseudo-code for the RFM analysis, followed by a complete, executable Python script...\n\n```python\nimport pandas as pd\nimport numpy as np...",
        "type": "TEXT",
        "state": null,
        "message": null,
        "metadata": null
      }
    ],
    "uiMetadata": null,
    "messageMetadata": {
      "chainId": "1762280699",
      "agentType": "NewPythonAgent",
      "workbookId": null,
      "executionData": [
        {
          "content": "<table class=\"dataframe dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th>user_id</th>\n      <th>email</th>\n      <th>full_name</th>...",
          "response_type": "dataframe"
        },
        {
          "content": {
            "agent": "Expert Selector",
            "model": "o4-mini"
          },
          "response_type": "tool_start"
        },
        {
          "content": {
            "input": "Reasoning Effort: medium",
            "action": "Thinking"
          },
          "response_type": "tool_call"
        },
        {
          "content": "requires_dataset: true\nexpert: \"Data Analyst\"\nconfidence: 9",
          "response_type": "processing"
        }
      ]
    },
    "isPinned": false,
    "timestamp": "2025-11-04T18:24:59.695784Z",
    "feedback": null
  }
]