singularity-sg/AutoGPT4J

A repository for a Java implementation of AutoGPT. It is heavily inspired by AutoGPT if not a clone of some of its functionality, though there is some deviation from it particularly in how Agents are implemented as well as planned support for more open source models.

AutoGPT4J README

Introduction

AutoGPT4J is an adaptation of the popular AutoGPT project, which is originally written in Python, into Java. This library allows you to use the powerful GPT-4 model in your Java projects. It provides an interface for interacting with OpenAI's GPT-4 model and Pinecone, a vector database.

Setup

To get started with AutoGPT4J, you will need to set up some environment variables. You can set these variables in your application.properties file or as environment variables in your system. The required variables are as follows:

File settings

1. FILES_LOCATION: This sets the location where files will be saved.

Log settings

2. log_path: Specifies the path for log files.

OpenAI settings

3. OPEN_AI_EMBEDDING_MODEL: The name of the embedding model to use.
4. OPEN_AI_CONTEXT_MODEL: The name of the context model to use.
5. OPENAI_API_KEY: Your OpenAI API key.
6. OPEN_AI_MODEL: The name of the GPT-4 model to use.

Pinecone settings

7. PINECONE_API_KEY: Your Pinecone API key.
8. PINECONE_ENVIRONMENT: The Pinecone environment you want to use.
9. PINECONE_PROJECT_NAME: The name of your Pinecone project.
10. PINECONE_INDEX_NAME: The name of the index to use in Pinecone.
11. PINECONE_NAMESPACE_INDEX: The namespace index for Pinecone.

Contributing

We welcome contributions to AutoGPT4J! If you'd like to contribute, please fork the repository and submit a pull request with your changes. Make sure to follow the code style guidelines and provide tests for any new features.

License

AutoGPT4J is licensed under the MIT License.

Future Work

We have planned several enhancements and features for future releases of AutoGPT4J:

1. Add additional commands: We aim to expand the functionality of AutoGPT4J by adding more commands that allow for better interaction and control of the GPT-4 model.
2. Implement iterative agents: To improve the overall user experience, we plan on implementing iterative agents that can engage in more interactive and dynamic conversations with users.
3. Add additional support for open-source projects: We're committed to fostering an open-source community around AutoGPT4J and will work towards providing better support and integration for other open-source projects including open-source LLM's.