Dspy Self Discover Framework

FastAPI Application with DSPy Integration

This repository contains a FastAPI application designed to solve complex tasks through intelligent reasoning and automated code generation. Leveraging DSPy for deep learning and AI capabilities, alongside the Groq platform for enhanced computational power, this application offers a robust solution for processing natural language task descriptions, executing code, and dynamically generating code solutions.

Features

• Natural Language Task Solving: Processes tasks described in natural language to generate actionable solutions.
• Code Execution: Executes arbitrary Python code dynamically through an API endpoint.
• Automated Code Generation: Generates executable code from structured reasoning about tasks, offering end-to-end automation from description to execution.
• Integration with DSPy and Groq: Utilizes the DSPy framework for AI and machine learning operations, powered by Groq's computational capabilities.

Installation

Ensure you have Python 3.8+ installed. Clone this repository, then install the required dependencies:

pip install -r requirements.txt

Usage

The application provides several endpoints for interacting with its capabilities:

Solving Tasks with Natural Language Descriptions

curl -X 'POST' \
  'http://0.0.0.0:8008/solve-task/' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \
  -d '{ "description": "Explain photosynthesis", "task_type": "science" }'

Executing Arbitrary Code

curl -X 'POST' \
  'http://0.0.0.0:8008/execute-code/' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \
  -d @payload.json

`payload.json` should contain your Python code in the format:

{
  "code": "print('Hello, world!')"
}

Generating and Executing Code from Task Descriptions

curl -X 'POST' \
  'http://0.0.0.0:8008/generate-and-execute/' \
  -H 'accept: application/json' \
  -H 'Con