Instructions.md

Orchestrating LLMs using Graphs

This repo is an example on how to use DAGs along with LLMs to orchestrate business flows

Execution Instructions

Python version 3.10.4

To create a virtual environment and install requirements in Python 3.10.4 on different operating systems, follow the instructions below:

For Windows:

Open the Command Prompt by pressing Win + R, typing "cmd", and pressing Enter.

Change the directory to the desired location for your project:

cd C:\path\to\project

Create a new virtual environment using the venv module:

python -m venv myenv

Activate the virtual environment: myenv\Scripts\activate

Install the project requirements using pip: pip install -r requirements.txt

For Linux/Mac:

Open a terminal.

Change the directory to the desired location for your project:

cd /path/to/project

Create a new virtual environment using the venv module:

python3.10 -m venv myenv

Activate the virtual environment: source myenv/bin/activate

Install the project requirements using pip: pip install -r requirements.txt

These instructions assume you have Python 3.10.4 installed and added to your system's PATH variable.

Execution Instructions if Multiple Python Versions Installed

If you have multiple Python versions installed on your system, you can use the Python Launcher to create a virtual environment with Python 3.10.4. Specify the version using the -p or --python flag. Follow the instructions below:

For Windows: Open the Command Prompt by pressing Win + R, typing "cmd", and pressing Enter.

Change the directory to the desired location for your project:

cd C:\path\to\project

Create a new virtual environment using the Python Launcher:

py -3.10 -m venv myenv

Note: Replace myenv with your desired virtual environment name.

Activate the virtual environment:

myenv\Scripts\activate

Install the project requirements using pip:

pip install -r requirements.txt

For Linux/Mac:

Open a terminal.

Change the directory to the desired location for your project:

cd /path/to/project

Create a new virtual environment using the Python Launcher:

python3.10 -m venv myenv

Note: Replace myenv with your desired virtual environment name.

Activate the virtual environment:

source myenv/bin/activate

Install the project requirements using pip:

pip install -r requirements.txt

By specifying the version using py -3.10 or python3.10, you can ensure that the virtual environment is created using Python 3.10.4 specifically, even if you have other Python versions installed.

To run the streamlit app

streamlit run llm_app.py

LLM_2_customer_support
├─ agents
│  ├─ support.py
├─ assets
│  ├─ audio
│  │  └─ customer_support.wav
│  ├─ free
│  │  ├─ compliance.txt
│  │  ├─ locations.txt
│  │  ├─ payments.txt
│  │  └─ pos.txt
│  └─ paid
│  |  ├─ compliance.txt
│  |  ├─ locations.txt
│  |  ├─ payments.txt
│  |  └─ pos.txt
|_ |_ tools
│     └─ audio_transcribe.py
|     |_ rag_responder.py
|     |_ user_info_db.py
|  |_ ui
|    |_ graph_renderer.py
|  graph
|  ├─ chain_based_edge.py
|  ├─ chain_based_node.py
|  ├─ edge.py
|  ├─ node.py
|  ├─ static_text_node.py
|  └─ text_based_edge.py
├─ customer_support.ipynb
├─ customer_support.py
|_ llm_app.py
├─ data
│  ├─ chat.py
│  ├─ graph.py
│  ├─ validation.py
├─ readme.md
└─ requirements.txt