AI Assistant FAQs

Question 1

Which LLMs are supported for native structured tool calling?

Accepted Answer

The AI Assistant is designed to work seamlessly with LLMs that natively support structured tool calling, such as `llama3.2:3b` when used with Ollama's `tools=[]` parameter. This eliminates the need for brittle regex or complex prompt engineering for JSON output.

Question 2

How does AI Assistant ensure type safety and robustness in tool execution?

Accepted Answer

It automatically generates JSON schemas from Python type hints and docstrings. These schemas validate input arguments before any tool execution, enforcing type safety and providing a structured, reliable contract between the LLM and your backend tools.

Question 3

What is AI Assistant (MCP) and what problem does it solve?

Accepted Answer

AI Assistant, powered by the Model Context Protocol (MCP), is an industrial-grade standard for LLM-tool communication. It replaces fragile regex parsing of LLM outputs with robust, type-safe JSON-RPC function calls, preventing silent failures and ensuring reliable AI agent interactions.

Question 4

How does AI Assistant simplify tool integration and offer modularity?

Accepted Answer

It simplifies tool integration by discovering tools at runtime, removing the need to hardcode function names in client code. Its modular architecture allows you to seamlessly swap server implementations (e.g., different sets of tools) without modifying the client, enhancing flexibility and reusability.

AI Assistant

AI Assistant

주요 기능

사용 사례

주요 기능

사용 사례