File Generation Tools
Generate JSON, CSV, PDF, TXT, DOCX and HTML files from agent responses with FileGenerationTools, persisting them to an output directory.
File Generation Tool Example This cookbook shows how to use the FileGenerationTool to generate various file types (JSON, CSV, PDF, TXT, DOCX, HTML, and source code). The tool can generate files from agent responses and make them available for download or further processing.
"""
File Generation Tool Example
This cookbook shows how to use the FileGenerationTool to generate various file types (JSON, CSV, PDF, TXT, DOCX, HTML, and source code).
The tool can generate files from agent responses and make them available for download or further processing.
By default, files are returned as in-memory artifacts only (save_files=False).
Set save_files=True to also persist files to disk.
"""
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.tools.file import FileGenerationTools
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
# save_files=True persists generated files to output_directory (defaults to cwd if not set)
agent = Agent(
model=OpenAIResponses(id="gpt-5.4"),
db=SqliteDb(db_file="tmp/test.db"),
tools=[FileGenerationTools(output_directory="tmp", save_files=True)],
description="You are a helpful assistant that can generate files in various formats.",
instructions=[
"When asked to create files, use the appropriate file generation tools.",
"Always provide meaningful content and appropriate filenames.",
"Explain what you've created and how it can be used.",
],
markdown=True,
)
def example_json_generation():
"""Example: Generate a JSON file"""
print("=== JSON File Generation Example ===")
response = agent.run(
"Create a JSON file containing information about 3 fictional employees with name, position, department, and salary."
)
print(response.content)
if response.files:
for file in response.files:
print(f"Generated file: {file.filename} ({file.size} bytes)")
if file.url:
print(f"File location: {file.url}")
print()
def example_csv_generation():
"""Example: Generate a CSV file"""
print("=== CSV File Generation Example ===")
response = agent.run(
"Create a CSV file with sales data for the last 6 months. Include columns for month, product, units_sold, and revenue."
)
print(response.content)
if response.files:
for file in response.files:
print(f"Generated file: {file.filename} ({file.size} bytes)")
if file.url:
print(f"File location: {file.url}")
print()
def example_pdf_generation():
"""Example: Generate a PDF file"""
print("=== PDF File Generation Example ===")
response = agent.run(
"Create a PDF report about renewable energy trends in 2024. Include sections on solar, wind, and hydroelectric power."
)
print(response.content)
if response.files:
for file in response.files:
print(f"Generated file: {file.filename} ({file.size} bytes)")
if file.url:
print(f"File location: {file.url}")
print()
def example_text_generation():
"""Example: Generate a text file"""
print("=== Text File Generation Example ===")
response = agent.run(
"Create a text file with a list of best practices for remote work productivity."
)
print(response.content)
if response.files:
for file in response.files:
print(f"Generated file: {file.filename} ({file.size} bytes)")
if file.url:
print(f"File location: {file.url}")
print()
def example_docx_generation():
"""Example: Generate a DOCX file"""
print("=== DOCX File Generation Example ===")
response = agent.run(
"Create a DOCX report about customer onboarding best practices. Include sections for welcome email, product tour, and success check-ins."
)
print(response.content)
if response.files:
for file in response.files:
print(f"Generated file: {file.filename} ({file.size} bytes)")
if file.url:
print(f"File location: {file.url}")
print()
def example_html_generation():
"""Example: Generate an HTML file"""
print("=== HTML File Generation Example ===")
response = agent.run(
"Create an HTML landing page for a coffee shop. Include a heading, a short intro, and a list of three signature drinks."
)
print(response.content)
if response.files:
for file in response.files:
print(f"Generated file: {file.filename} ({file.size} bytes)")
if file.url:
print(f"File location: {file.url}")
print()
def example_code_generation():
"""Example: Generate source code files for any language"""
print("=== Code File Generation Example ===")
response = agent.run(
"Write a Python script named fibonacci.py that prints the first 10 Fibonacci numbers, "
"and a TypeScript file named greet.ts that exports a greet(name) function."
)
print(response.content)
if response.files:
for file in response.files:
print(f"Generated file: {file.filename} ({file.size} bytes)")
if file.url:
print(f"File location: {file.url}")
print()
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
print("File Generation Tool Cookbook Example")
print("=" * 50)
example_pdf_generation()
# example_html_generation()
# example_code_generation()
# example_text_generation()
# example_docx_generation()
# example_csv_generation()
# example_json_generation()Generated artifacts and local paths
Only example_pdf_generation() runs by default. Uncomment another function to try that format. The PDF prompt requests a 2024 report from model knowledge; provide source material when you need a sourced report.
save_files=True writes the generated files under tmp. These local artifacts carry filepath, so replace each if file.url display with if file.filepath and print file.filepath. A local path is not automatically a public download URL. To keep artifacts only in memory, omit output_directory and leave save_files=False; supplying an output directory also enables saving.
Run the Example
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U agno openai python-docx reportlab sqlalchemyExport your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"Run the example
Save the code above as file_generation_tools.py, then run:
python file_generation_tools.pyFull source: cookbook/91_tools/file_generation_tools.py