Simple Truss Analysis Agent

A minimal implementation of an AI-powered truss analysis tool that demonstrates how to combine LLMs with engineering calculations. This project shows how to create a simple agent that can interpret truss drawings and perform structural analysis.

Overview

This implementation uses Claude 3.7 to:

Extract truss geometry from images
Perform structural analysis using FEM
Provide interactive analysis through a chat interface

How It Works

1. Provide an Image

Simply specify the path to your truss image in simple_truss_agent.py:

if __name__ == "__main__":
    # Specify the image path here - users can easily change this line
    image_path = "./images/book_truss.png"
    truss_chat(image_path)

2. Image Analysis

Run your code. The agent analyzes the image and extracts the truss geometry, including:

Node locations
Element connections
Applied forces
Support conditions
Area (A)
Young's modulus (E)

3. Interactive Analysis

Chat with the agent to:

Run structural analysis
Modify the truss geometry
Get detailed results
Ask engineering questions

Setup

Install dependencies:
```
pip install -r requirements.txt
```
Configure your Anthropic API key in config.py:
```
ANTHROPIC_API_KEY = "your-api-key-here"
```
Run the application:
```
python simple_truss_agent.py
```

Usage

The agent can:

Analyze truss images and extract geometry
Calculate displacements and stresses
Answer questions about the analysis results

Example commands:

> Run analysis with E=200e9 Pa and A=0.001 m²
> Increase the height of the truss by 2 meters
> Find the smallest IPE profile we can use, while keeping the stress under 200 MPa

Project Structure

simple_truss_agent.py: Main application with chat interface
tools.py: Core functionality for truss analysis
config.py: Configuration settings
images/: Example truss structure images

Input Requirements

Clear truss image

License

MIT License - see LICENSE file for details.

License

abergmanx/simple_agent

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