Tyk AI Studio’s Chat Interface provides a secure and interactive environment for users to engage with Large Language Models (LLMs), leveraging integrated tools and data sources. It serves as the primary front-end for conversational AI interactions within the platform.
Chat Sessions: Each conversation happens within a session, preserving history and context.
Streaming Responses: LLM responses are streamed back to the user for a more interactive feel.
Tool Integration: Seamlessly uses configured Tools when the LLM determines they are necessary to fulfill a user’s request. The available tools depend on the Chat Experience configuration and the user’s group permissions.
Data Source (RAG) Integration: Can automatically query configured Data Sources to retrieve relevant information (Retrieval-Augmented Generation) to enhance LLM responses. The available data sources depend on the Chat Experience configuration and the user’s group permissions.
System Prompts: Administrators can define specific system prompts for different Chat Experiences to guide the LLM’s persona, tone, and behavior.
History: Users can view their past chat sessions.
File Upload (Context): Users might be able to upload files directly within a chat to provide temporary context for the LLM (depending on configuration).
Access Control: Users only see and can interact with Chat Experiences assigned to their Teams.
Beyond the UI, Tyk AI Studio provides APIs (/api/v1/chat/...) for programmatic interaction with the chat system, allowing developers to build custom applications or integrations that leverage the configured Chat Experiences.This comprehensive system provides a powerful yet controlled way for users to interact with AI capabilities managed by Tyk AI Studio.