Bring Conversational AI to Unreal Engine with HttpGemini

Powerful, Simple, Integrated

All the tools you need to build next-generation NPCs and intelligent systems.

• 🧩 100% Blueprint Ready: Access all functionality through a single, easy-to-use asynchronous node. Perfect for designers and artists.
• ⚡️ Runtime Communication: Send prompts and receive AI-generated responses live in your packaged game or application.
• ⚙️ Easy Configuration: Simply set your API Key and Gemini Model in the Project Settings. No code changes needed.
• 🚀 Asynchronous by Design: API requests are non-blocking, ensuring your game’s performance remains smooth with no freezes or hitches.
• 🛡️ Robust Error Handling: Get clear, actionable feedback on connection issues or invalid API keys directly in your Blueprints.
• 📦 No External Dependencies: Self-contained and built using Unreal’s native modules for maximum stability and compatibility.

Simple, Fast, and Powerful

Get up and running in just a few minutes with our intuitive workflow.

1. Install & Enable: Add the plugin to your project and enable it in the Plugins window.
2. Configure Settings: Go to Project Settings and paste in your API Key.
3. Use in Blueprint: Call the SendChatMessage node and handle the response with a Custom Event.

Technical Specifications & Requirements

• Supported Engine Versions: 5.5, 5.6 & up
• Supported Platforms: Windows (64-bit), Android
• Valid API Key: A key from the Google AI platform is required. (Follow our 1-minute guide)
• Internet Connection: Required at runtime to communicate with the API.

Troubleshooting

Common questions and solutions.

Error: API Key not set

• Cause: The API Key field in the Project Settings is empty.
• Solution: Navigate to Project Settings > Plugins > HttpGemini and enter your valid API key.

Error: HTTP request failed

• Cause: A problem connecting to Google’s servers. This can be due to a lack of internet, a firewall, or an invalid/disabled API key.
• Solution: Check your internet connection and ensure your API key is correct. A 4xx response code indicates a problem with your request/key, while 5xx indicates a server-side issue with Google’s API.

Error: Could not parse response or the response is empty

• Cause: The API returned an unexpected response structure. This most commonly happens if the Model selected in Project Settings is incorrect or unavailable.
• Solution: Double-check the Gemini Model selected in the plugin settings to ensure it is valid (e.g., Gemini 1.5 Flash).