Run Python Code

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Description

This endpoint allows you to run Python code in a secure sandbox environment. The code is executed using a secure code interpreter and returns both stdout and stderr logs.

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Endpoint

POST /api/v1/run-python-code

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Headers

• Content-Type: application/json
• Authorization: Bearer <API_KEY> (required)

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Request Body

{
  "commands": "string", // Optional. Install pip packages before code execution e.g. pip install pandas
  "code": "string", // Required. The Python code to be executed
  "parseJson": boolean, // Optional. Whether to parse stdout/stderr as JSON
}

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Responses

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Success (200)

Returns the output logs from the executed Python code.

{
  "logs": {
    "stdout": string[] | any, // Array of stdout messages or parsed JSON
    "stderr": string[] | any  // Array of stderr messages or parsed JSON
  }
}

• Content-Type: application/json
• X-RateLimit-Limit: The rate limit for the user
• X-RateLimit-Remaining: The remaining number of requests for the user

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Bad Request (400)

Returned if the request is missing required parameters.

{
  "error": "code parameter is required"
}

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Internal Server Error (500)

Returned if there’s an error during code execution.

{
  "error": {
    "name": "string",
    "value": "string",
    "traceback": "string"
  }
}

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Example Request

curl -X POST https://app.dumplingai.com/api/v1/run-python-code \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
  "commands": "pip install pandas",
  "code": "import pandas as pd\ndata = {\"name\": [\"John\", \"Jane\"], \"age\": [30, 25]}\ndf = pd.DataFrame(data)\nprint(df.to_json())",
  "parseJson": true
}'

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Example Response

{
  "logs": {
    "stdout": {
      "name": { "0": "John", "1": "Jane" },
      "age": { "0": 30, "1": 25 }
    },
    "stderr": []
  }
}

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Notes

• This endpoint uses 5 credits per request
• Code execution timeout is set to 10 seconds
• The code is executed in a secure sandbox environment
• When parseJson is true, the system will attempt to parse stdout and stderr as JSON
• You can install Python packages by using the commands parameter e.g. pip install pandas

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Rate Limiting

Rate limit headers (X-RateLimit-Limit and X-RateLimit-Remaining) are included in the response to indicate the user’s current rate limit status.