Blazor LLM Kit Overview
Updated on Oct 1, 2026
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The Telerik UI for Blazor LLM Kit is a collection of purpose-built components for building transparent, interactive, and enterprise-ready AI agent experiences. Designed to work alongside any chat or agentic interface, the kit brings visibility, control, and human oversight to AI-powered workflows. The kit provides ready-made building blocks for:
- Visualizing agent execution
- Multi-step workflows
- Tool invocations
- Reasoning and decision points
- Inline citations
- Approvals
- Conversation checkpoints
LLM Kit Components
| Component | Description |
|---|---|
| ChainOfThought | Renders a sequential list of agent analysis steps with icons, connectors, and optional chip tags. Use it to visualize how the agent searches for tools, evaluates options, and arrives at a decision. |
| Checkpoint | Marks a recoverable point in an agent conversation. Lets users restart the workflow from that point without losing context. |
| Citation | Displays inline source references attached to AI-generated content. Users can expand the citation to review the underlying sources. |
| Reasoning | Renders a collapsible block of agent inner monologue or scratchpad content. Use it to expose the agent's raw thinking process. |
| ToolCall | Shows a tool invocation made by the agent, including its parameters and result. Supports an approval flow that lets users approve or reject the tool execution before it runs. |
Example
The following example demonstrates all LLM Kit components together. It shows a completed agent workflow — reasoning, chain of thought, a tool call, and a response with an inline citation and a checkpoint.
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