LangGraph Message Processor

A natural language processing system that uses LangGraph for intent-based routing to handle various types of requests.

Visualization of Graph

Features

• Question Answering: Get responses to your inquiries
• Code Operations: Generate and edit code across different programming languages
• Text Operations: Create and modify text content including creative writing

Project Structure

├── Dockerfile
├── LICENSE
├── README.md
├── agent
│   ├── __init__.py
│   ├── config.py
│   ├── helper.py
│   ├── main.py
│   ├── nodes
│   │   ├── __init__.py
│   │   ├── analyzer.py
│   │   ├── code_processor.py
│   │   ├── intent_classifier.py
│   │   ├── question_handler.py
│   │   ├── response_generator.py
│   │   └── text_processor.py
│   └── utils
│       ├── __init__.py
│       ├── file_utils.py
│       ├── llm.py
│       ├── output_manager.py
│       ├── router.py
│       └── state.py
├── configs.yaml
├── docker-compose.yml
├── images
│   └── graph.png
├── requirements.txt
└── run.sh # runner 

Installation

Prerequisites

• Python 3.10 or higher
• pip package manager

Option 1: Local Installation

1. Clone the repository

git clone [email protected]:GoshKolotyan/Agentic-System.git
cd Agentic-System

2. Create a virtual environment

python -m venv agent-venv

3. Activate the virtual environment

• On Windows:

agent-venv\Scripts\activate

• On macOS/Linux:

source agent-venv/bin/activate

4. Install dependencies

pip install -r requirements.txt

Option 2: Docker

1. Build and run using Docker Compose

docker-compose up

2. For detached mode and interactive access

docker-compose up -d
docker attach synopsis-langgraph-processor-1

Note: Add your OpenAI API key as an environment variable

export OPENAI_API_KEY='your-api-key'

Usage

Running the Application

chmod +x run.sh 
./run.sh

Example Requests

1. Question Answering

What is DNA?

2. Code Generation

create a C loop that counts from 1 to 10 and save in loop.c

3. Code Editing

   # Fix the bugs in this Python script:
   dec greet(name):
       if name == "":
           return "Hello, stranger!"
       elie:
           return "Hello, " + name + "!"
   
   # Test the function
   print(greet("Bob"))
   print(greet(""))

4. Text Generation

Generate a short novel about Bernhard Riemann

5. Text Editing

Edit this text for me: The quik brown foxes jumps over the lasy dog and the moon is made of green cheese.