Question 1

How do I connect BotSharp to my own SQL database?

Accepted Answer

Use the SQL driver plugin or implement a custom repository by following the plugin interface. The framework supports various storages; check the documentation for configuration details and connection string examples.

Question 2

BotSharp or Microsoft Bot Framework: which is better for enterprise chatbots?

Accepted Answer

BotSharp is superior for multi-agent AI systems with LLM integration and modular plugins, while Bot Framework excels in traditional bot scenarios with pre-built channels. Choose based on your need for advanced AI capabilities versus Microsoft ecosystem tools.

Question 3

Can I deploy BotSharp on AWS instead of Azure?

Accepted Answer

Yes, BotSharp is cross-platform and can be deployed on any cloud supporting .NET Core. Use Docker containers or native deployments, but verify plugin compatibility for AWS-specific services like S3 or DynamoDB.

Question 4

How to add custom AI models to BotSharp?

Accepted Answer

Implement the LLM provider interface in a plugin; the framework supports HuggingFace and others. Refer to the plugin development guide in the docs for steps on integrating custom models and testing them.

Question 5

What's the performance overhead of using multiple agents in BotSharp?

Accepted Answer

BotSharp manages agent states and routing efficiently, but performance depends on LLM call latency and plugin load. Optimize by caching responses, using lightweight plugins, and monitoring conversation flows in the admin UI.

Question 6

Does BotSharp support server-side rendering for the UI?

Accepted Answer

The built-in UI uses SvelteKit, which supports SSR, but configuration may require custom setup. Check the BotSharp-UI repository for deployment options and SvelteKit best practices.

BotSharp

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