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Chat Interface

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.

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Purpose

The main goals of the Chat Interface are:
  • User-Friendly Interaction: Offer an intuitive web-based chat experience for users of all technical levels.
  • Unified Access: Provide a single point of access to various configured LLMs, Tools, and Data Sources.
  • Context Management: Maintain conversation history and manage context, including system prompts and retrieved data (RAG).
  • Secure & Governed: Enforce access controls based on teams and apply configured Filters.

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Key Features

  • 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.

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Using the Chat Interface

Users access the Chat Interface through the Tyk AI Studio web UI.
  1. Select Chat Experience: Users choose from a list of available Chat Experiences (pre-configured chat environments) they have access to.
  2. Interact: Users type their prompts or questions.
  3. Receive Responses: The LLM processes the request, potentially using tools or data sources behind the scenes, and streams the response back. Chat UI

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Configuration (Admin)

Administrators configure the available “Chat Experiences” (formerly known as Chat Rooms) via the UI or API. Configuration involves:
  • Naming: Giving the Chat Experience a descriptive name.
  • Assigning LLM: Linking to a specific LLM Configuration.
  • Enabling Tools: Selecting which Tool Catalogues are available.
  • Enabling Data Sources: Selecting which Data Source Catalogues are available.
  • Setting System Prompt: Defining the guiding prompt for the LLM.
  • Applying Filters: Associating specific Filters for governance.
  • Assigning Groups: Determining which Teams can access this Chat Experience.
  • Enabling/Disabling Features: Toggling features like file uploads or direct tool usage. Chat Config

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API Access

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.