https://github.com/wizzerrd/godotagent

Plugin providing LLM integration in Godot Engine using Eidolon AI SDK
https://github.com/wizzerrd/godotagent

agent agents ai godot godot-engine godot-plugin

Last synced: about 1 month ago
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Plugin providing LLM integration in Godot Engine using Eidolon AI SDK

• Host: GitHub
• URL: https://github.com/wizzerrd/godotagent
• Owner: Wizzerrd
• Created: 2024-04-06T00:31:38.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-04-28T00:09:01.000Z (9 months ago)
• Last Synced: 2024-12-30T14:22:40.072Z (about 1 month ago)
• Topics: agent, agents, ai, godot, godot-engine, godot-plugin
• Language: GDScript
• Homepage: https://www.eidolonai.com/
• Size: 48.8 KB
• Stars: 9
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Welcome to the GodotAgent Plugin for Godot 4! This is a plugin providing LLM integration in Godot Engine using Eidolon AI SDK

### Features

* Configure an agent with Eidolon and connect it to your game in Godot

* HTTPSSE Streaming for near real-time responses from your agents

### Requirements

* Godot 4.x

* Docker

### Demo Instructions

1) Open ```demo/godot/``` as a project in Godot editor

2) Build Docker image from the file contents in ```demo/eidolon/```

``` docker build -t godot-agent demo/eidolon/ ```

3) Run the Docker image in a container to start the Eidolon server

``` docker run -p 8080:8080 -e OPENAI_API_KEY= ```

5) Run the Godot project. You can verify if the client and server are communicating by checking the Eidolon server logs for a POST request.

6) Game controls are WASD to move, E to talk to the NPC, ESC to exit the conversation.

7) Have a conversation with a knight!

The Agent's behavior can be easily customized by modifying the contents of the ``` system_prompt ``` field of ``` demo/eidolon/resources/npc_agent.yaml ```.

Make sure to re-build your Docker image and restart your container when you make changes to your Agent.

On Mac and Linux, you can run the Eidolon server directly on your machine without using Docker. Follow the [quickstart](https://www.eidolonai.com/docs/getting_started/quickstart/introduction/) tutorial on the [Eidolon AI Website](https://www.eidolonai.com/) to get started.