generate_content
Generate AI content using Gemini with file analysis, code execution, and web search. Process images, videos, audio, PDFs, and documents to create responses, run code, and research information.
Instructions
Generate content using Gemini with optional file inputs, code execution, and Google search. Supports multiple files: images (JPG, PNG, GIF, WebP, SVG, BMP, TIFF), video (MP4, AVI, MOV, WebM, FLV, MPG, WMV), audio (MP3, WAV, AIFF, AAC, OGG, FLAC), documents (PDF), and text files (TXT, MD, JSON, XML, CSV, HTML). MIME type is auto-detected from file extension.
Example usage:
{
"user_prompt": "Analyze this video",
"files": [
{
"path": "/path/to/video.mp4"
}
]
}
PDF to Markdown conversion:
{
"user_prompt": "Convert this PDF to well-formatted Markdown, preserving structure and formatting",
"files": [
{"path": "/document.pdf"}
]
}
With Google Search:
{
"user_prompt": "What are the latest AI breakthroughs in 2024?",
"enable_google_search": true
}
With Code Execution:
{
"user_prompt": "Write and run a Python script to calculate prime numbers up to 100",
"enable_code_execution": true
}
Combining features with thinking mode:
{
"user_prompt": "Research quantum computing and create a Python simulation",
"model": "gemini-2.5-pro",
"enable_google_search": true,
"enable_code_execution": true,
"thinking_budget": -1
}
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| enable_code_execution | No | Enable code execution capability for the model | |
| enable_google_search | No | Enable Google search capability for the model | |
| files | No | Array of files to include in generation (optional). Supports images, video, audio, PDFs, and text files. | |
| model | No | Gemini model to use (optional) | gemini-2.5-flash |
| system_prompt | No | System prompt to guide the AI behavior (optional) | |
| temperature | No | Temperature for generation (0-2, default 0.2) | |
| thinking_budget | No | Thinking budget for models that support thinking mode (-1 for unlimited) | |
| user_prompt | Yes | User prompt for generation |
Input Schema (JSON Schema)
{
"properties": {
"enable_code_execution": {
"default": false,
"description": "Enable code execution capability for the model",
"type": "boolean"
},
"enable_google_search": {
"default": false,
"description": "Enable Google search capability for the model",
"type": "boolean"
},
"files": {
"description": "Array of files to include in generation (optional). Supports images, video, audio, PDFs, and text files.",
"items": {
"oneOf": [
{
"required": [
"path"
]
},
{
"required": [
"content"
]
}
],
"properties": {
"content": {
"description": "Base64 encoded file content (alternative to path)",
"type": "string"
},
"path": {
"description": "Path to file",
"type": "string"
},
"type": {
"description": "MIME type of the file (optional, auto-detected from file extension if path provided)",
"type": "string"
}
},
"required": [],
"type": "object"
},
"maxItems": 10,
"type": "array"
},
"model": {
"default": "gemini-2.5-flash",
"description": "Gemini model to use (optional)",
"type": "string"
},
"system_prompt": {
"description": "System prompt to guide the AI behavior (optional)",
"type": "string"
},
"temperature": {
"default": 0.2,
"description": "Temperature for generation (0-2, default 0.2)",
"maximum": 2,
"minimum": 0,
"type": "number"
},
"thinking_budget": {
"default": -1,
"description": "Thinking budget for models that support thinking mode (-1 for unlimited)",
"type": "number"
},
"user_prompt": {
"description": "User prompt for generation",
"type": "string"
}
},
"required": [
"user_prompt"
],
"type": "object"
}