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Documentation Index

Fetch the complete documentation index at: https://docs.upsonic.ai/llms.txt

Use this file to discover all available pages before exploring further.

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What is Agent Project?

An Agent Project is a structured way to build production-ready AI agents using Upsonic. It provides a standardized project structure with:
  • Agent Logic: Your agent’s core functionality defined in agent.py
  • Configuration: Project settings, input/output schemas, and dependencies in upsonic_config.json
  • FastAPI Integration: Automatic API generation from your agent configuration
  • Dependency Management: Organized dependency sections for API, Streamlit, and development tools
Agent Projects enable you to quickly scaffold, develop, and deploy AI agents as RESTful APIs with minimal boilerplate code.

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How Agent Project Works

When you initialize an Agent Project, Upsonic creates two essential files:
  1. agent.py: Contains your agent’s main() function that processes inputs and returns outputs
  2. upsonic_config.json: Defines your agent’s metadata, input/output schemas, dependencies, and runtime configuration
The framework automatically:
  • Generates a FastAPI server from your configuration
  • Creates OpenAPI documentation with interactive forms
  • Handles both JSON and multipart/form-data requests
  • Validates inputs and outputs based on your schema definitions
  • Manages dependencies across different environments
Your agent’s main() function receives inputs as a dictionary, processes them using Upsonic’s Agent class, and returns a dictionary with results. The FastAPI server exposes this as a /call endpoint that can be consumed by any HTTP client.