Question 1

How do I secure my API keys when using Deep Chat?

Accepted Answer

Avoid using directConnection in production; instead, use the request property with a proxy server. The README provides server templates for Express, Flask, and others to securely handle API calls.

Question 2

Can Deep Chat work with my custom Node.js backend?

Accepted Answer

Yes, configure the request property to point to your API endpoint. Your backend must handle Deep Chat's JSON format, and the documentation includes Express and NestJS examples for guidance.

Question 3

Deep Chat vs other AI chat libraries – which is easier for beginners?

Accepted Answer

Deep Chat offers more built-in AI features like direct API connections and speech, but it requires careful security setup. Simpler libraries might have less customization but fewer configuration steps.

Question 4

How to customize the UI colors and layout in Deep Chat?

Accepted Answer

Use properties like styles and htmlWrappers for customization. The documentation details CSS overrides and component-level settings to match your design system.

Question 5

Does Deep Chat support streaming responses from OpenAI?

Accepted Answer

Yes, it supports readable stream APIs via the stream property, allowing real-time updates. The README mentions this in the connect section for seamless integration.

Question 6

What are the limits of running an LLM in the browser with Deep Chat?

Accepted Answer

Browser-based models are constrained by device memory and CPU, so they're best for smaller models and may have slower inference times compared to server-side options.

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