https://github.com/dmickelson/autogen-experiments
Examples of using AutoGen agents and agentic frameworks. Requires Docker container.
https://github.com/dmickelson/autogen-experiments
agentic autogen docker pandas python
Last synced: 3 months ago
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Examples of using AutoGen agents and agentic frameworks. Requires Docker container.
- Host: GitHub
- URL: https://github.com/dmickelson/autogen-experiments
- Owner: dmickelson
- Created: 2023-10-11T03:13:50.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-07-08T11:31:34.000Z (11 months ago)
- Last Synced: 2025-01-12T10:09:13.567Z (5 months ago)
- Topics: agentic, autogen, docker, pandas, python
- Language: Python
- Homepage:
- Size: 135 KB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# AutoGen Experiments
AutoGen is a framework that enables the development of LLM applications using multiple agents that can converse with each other to solve tasks.
Examples of using AutoGen agents!
## File Overview
1. agentchat_human_feedback.py: Demonstrates a chat environment with human feedback and conversation logging.
2. agentchat_simple_function_call.py: Shows how to set up function calling capabilities, specifically for mathematical queries using Wolfram Alpha.
3. agentchat_simple_local_function_call.py: Illustrates how to integrate custom local functions into the chat environment.
4. basic.py: Provides a basic setup for an AutoGen chat environment, focusing on stock price charting.
5. basic_loop.py: Sets up a looping chat environment, allowing for continuous interaction between the assistant and user.
6. basic2.py: Demonstrates a more advanced setup, including a follow-up question and chart generation for stock prices.
## How to Run
To run these AutoGen scripts, follow these general steps:
1. Ensure you have Python installed on your system.
2. Install the required dependencies:
```
pip install autogen python-dotenv openai
```
3. Set up your environment variables:
- Create a `.env` file in the project root.
- Add your OpenAI API key: `OPENAI_API_KEY=your_api_key_here`
4. Create an `OAI_CONFIG_LIST` file with your API configuration.
5. Run any of the scripts using Python:
```
python script_name.py
```
Replace `script_name.py` with the name of the script you want to run (e.g., `basic.py`, `agentchat_human_feedback.py`, etc.).
6. Follow any prompts or instructions provided by the script.
Note: Some scripts may require additional setup or dependencies. Refer to the docstrings in each file for specific requirements.
## Contributing
Feel free to experiment with these scripts and contribute your own examples of using AutoGen agents!