CopilotKit
Official@copilotkit
Enables interactive visual rendering and mock response testing for dynamic interface components within web-based applications.
Agent Skills by CopilotKit
Showing 15 vetted skills indexed across 3 GitHub repositories.
copilotkit-develop
Implements CopilotKit v2 chat interfaces, frontend tools, and runtime endpoints in React applications.
copilotkit-contribute
Guides contributors through forking, building, testing, and submitting pull requests to the CopilotKit monorepo.
mcp-apps-builder
Guides building MCP servers with tools, resources, prompts, and React widgets using mcp-use.
copilotkit-upgrade
Migrates CopilotKit v1 applications to v2 by updating hooks, components, and runtime configuration.
copilotkit-setup
Configures CopilotKit runtime, provider, and chat UI for React and Next.js projects.
copilotkit-agui
Implement AG-UI protocol backends that stream typed agent events over SSE to frontends.
chatgpt-app-builder
Build ChatGPT apps with interactive React widgets using mcp-use and the OpenAI Apps SDK.
copilotkit-debug
Diagnose CopilotKit runtime, agent, streaming, and tool execution failures.
copilotkit-self-update
Updates CopilotKit agent skills by pulling the latest SKILL.md files from GitHub.
mcp-builder
Build Model Context Protocol servers with tools, resources, prompts, and React widgets using mcp-use.
copilotkit-integrations
Connects external agent frameworks to CopilotKit applications via the AG-UI protocol.
write-fixtures
Create mock LLM responses and tool call sequences for @copilotkit/aimock testing.
Master Agent Playbook
Transform AI responses into interactive visual experiences with widgets and diagrams.
Advanced Visualization Techniques
Generate interactive HTML/SVG widgets for dashboards and data visualizations.
SVG Diagram Generation
Generate inline SVG diagrams with a 680px viewBox and design rules.
Frequently Asked Questions About CopilotKit
FAQPage SchemaWhat specific visual tasks can be performed using these capabilities?▼
These capabilities enable the generation of interactive HTML and SVG widgets, including complex diagrams and data visualizations. You can transform standard text-based outputs into functional, visual interface elements that render directly within your application's dashboard or reporting views.
Which technical personas benefit from these visualization features?▼
Frontend engineers and interface designers benefit most from these features. They provide a structured method for rendering dynamic visual content and managing component state, allowing developers to bridge the gap between raw data processing and high-fidelity user interface presentation.
How are mock response sequences implemented for testing?▼
Mock response sequences are implemented using the provided fixture writing functionality. This allows developers to define expected call sequences and response patterns, ensuring that interface components handle various data states and visual rendering requirements correctly before deployment to production environments.