LangEst - LangGraph Project

A LangGraph application for building stateful, multi-actor applications with LLMs.

Setup

1. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

2. Install dependencies:

   pip install -e .

3. For development dependencies:

   pip install -e ".[dev]"

4. Copy the environment file and add your Groq API key:

   cp .env.example .env
   # Edit .env with your Groq API key from https://console.groq.com/keys

Project Structure

langest/
├── src/
│   └── langest/
│       ├── __init__.py
│       ├── agents/
│       │   └── __init__.py
│       ├── graphs/
│       │   └── __init__.py
│       └── tools/
│           └── __init__.py
├── tests/
│   └── __init__.py
├── examples/
├── pyproject.toml
├── README.md
└── .env.example

Usage

from langest.graphs.simple_graph import create_simple_graph

# Create and run a simple graph
graph = create_simple_graph()
result = graph.invoke({"input": "Hello, world!"})
print(result)

Development

Run tests:

pytest

Format code:

black src/ tests/
isort src/ tests/

Type checking:

mypy src/