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Enhanced LLM Agent 🧠🤖

This project showcases an advanced LLM (Large Language Model) agent capable of answering natural language questions using a variety of tools. The agent can perform searches, execute calculations, translate text, and more by leveraging APIs such as OpenAI, DuckDuckGo, Wolfram Alpha, and others.

Key Features

  • Dynamic Tool Selection: The agent intelligently chooses from a set of tools (search engines, math utilities, language tools, etc.) to answer complex queries.
  • Custom Prompt and Parsing: Designed with a custom prompt template for effective reasoning and output parsing.
  • Modular Structure: Tools are designed as independent modules, making it easy to extend and add more functionality.
  • Simple Web Interface: A Flask-based web app that allows users to interact with the agent and receive results instantly.
  • LLM Chain: Uses LangChain framework to integrate with OpenAI for generating responses.

Tech Stack

  • Flask: For the web interface and routing.
  • LangChain: To structure interactions with the LLM and tools.
  • OpenAI: As the core language model for answering questions.
  • Tools: DuckDuckGo Search, Wolfram Alpha, Python REPL, Google Translator, TextBlob for sentiment analysis, etc.

How It Works

  1. Frontend: The web interface allows users to input questions.
  2. Backend: Flask sends the queries to the LLM agent.
  3. Agent Processing: The agent decides which tools to use based on the query.
  4. Response: The agent returns the answer after processing, which is displayed on the web page.

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/enhanced_llm_agent.git

  2. Navigate into the project directory:

    cd enhanced_llm_agent

  3. Install the required packages:

    pip install -r requirements.txt

  4. Set up environment variables for OPENAI_API_KEY and SECRET_KEY:

    export OPENAI_API_KEY='your-openai-api-key'
export SECRET_KEY='your-secret-key'

  5. Run the application:

    python run.py

  6. Open a browser and go to http://127.0.0.1:5000/.

Example Usage

  • Ask a General Question: "What’s the current weather in New York?"
  • Complex Calculation: "Solve the integral of x^2 using Wolfram Alpha."
  • Translate Text: "Translate 'Hello' to Spanish."

Contributions

Contributions are welcome! If you'd like to add a new tool or improve the system, feel free to fork the repo and create a pull request.

Author: Ammar Alnagar