import os
from datagrid_ai import Datagrid

client = Datagrid(
    api_key=os.environ.get("DATAGRID_API_KEY"),  # This is the default and can be omitted
)
converse_response = client.converse(
    prompt="string",
)
print(converse_response)

import Datagrid from 'datagrid-ai';

const client = new Datagrid({
  apiKey: process.env['DATAGRID_API_KEY'], // This is the default and can be omitted
});

const converseResponse = await client.converse({ prompt: 'string' });

console.log(converseResponse);

curl --request POST \
  --url https://api.datagrid.com/v1/converse \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "prompt": "<string>",
  "config": {
    "knowledge_ids": [
      "<string>"
    ],
    "corpus": [
      {
        "type": "knowledge",
        "knowledge_id": "<string>"
      }
    ],
    "system_prompt": "<string>",
    "custom_prompt": "<string>",
    "planning_prompt": "<string>",
    "tools": [
      "<string>"
    ],
    "disabled_tools": [
      "<string>"
    ],
    "llm_model": "gemini-2.5-flash",
    "temperature": 0.5,
    "agent_model": "magpie-2.0",
    "mcp_servers": [
      {
        "server_id": "<string>",
        "type": "inline_mcp",
        "server_label": "<string>",
        "server_url": "<string>",
        "credential_id": "<string>",
        "server_description": "<string>",
        "authorization": "<string>"
      }
    ],
    "agent_tools": [
      "<string>"
    ],
    "disabled_agent_tools": [
      "<string>"
    ]
  },
  "agent_id": "<string>",
  "agent_routing": {
    "mode": "auto"
  },
  "conversation_id": "<string>",
  "stream": false,
  "generate_citations": false,
  "generate_title": false,
  "include_steps": true,
  "secret_ids": [
    "<string>"
  ],
  "text": {
    "format": {}
  },
  "user": {
    "first_name": "<string>",
    "last_name": "<string>",
    "email": "<string>"
  },
  "current_view_content": "<string>",
  "reference_date": "2023-12-25"
}
'

{
  "object": "conversation.message",
  "id": "<string>",
  "agent_id": "<string>",
  "content": [
    {
      "type": "text",
      "text": "<string>"
    }
  ],
  "created_at": "2023-11-07T05:31:56Z",
  "conversation_id": "<string>",
  "credits": {
    "consumed": 123
  },
  "citations": [
    {
      "citation": "<string>",
      "sources": [
        {
          "source_name": "<string>",
          "confirmations": [
            "<string>"
          ],
          "source_id": "<string>",
          "source_uri": "<string>"
        }
      ]
    }
  ],
  "generated_title": "<string>",
  "tool_calls": [
    {
      "type": "tool_call",
      "id": "<string>",
      "tool": {
        "object": "tool",
        "name": "<string>",
        "label": "<string>",
        "description": "<string>"
      },
      "output": "<string>",
      "executed_in_parallel": true
    }
  ],
  "reasoning": [
    {
      "id": "<string>",
      "type": "reasoning",
      "task": "<string>",
      "output": "<string>",
      "execution_time_ms": 123,
      "executed_in_parallel": true
    }
  ]
}

{
  "status_code": 123,
  "error": "rate_limit_exceeded",
  "message": "<string>",
  "retryable": true,
  "statusCode": 123,
  "mitigation": "<string>",
  "details": {
    "reason": "<string>"
  }
}