How to connect multiple LLM models and agent frameworks to create scalable AI-powered user experiences

How to connect multiple LLM models and agent frameworks to create scalable AI-powered user experiences

This task can be performed using CopilotKit AI

Native AI copilots, fully integrated and in control.

Best product for this task

Copilo

CopilotKit is an agentic framework for embedding AI copilots directly into your product with real-time context, UI control, and flexible agent connections. It lets developers integrate any LLM or agent framework and ship deeply integrated, customizable in-app assistants at scale.

hero-img

What to expect from an ideal product

  1. Connect any LLM provider like OpenAI, Anthropic, or local models through a single integration point that handles switching between different AI backends without code changes
  2. Plug in multiple agent frameworks including LangChain, CrewAI, or custom agents using standardized connectors that manage data flow and communication between systems
  3. Scale AI experiences across your entire product with shared context and memory that persists user interactions and preferences across different copilot instances
  4. Control UI elements directly from your AI agents so they can interact with forms, buttons, and data displays while maintaining real-time sync with your application state
  5. Deploy production-ready copilots that handle thousands of concurrent users through built-in load balancing and resource management across your connected AI models

More topics related to CopilotKit AI

Related Categories

Featured Today

paddle
paddle-logo

Scale globally with less complexity

With Paddle as your Merchant of Record

Compliance? Handled

New country? Done

Local pricing? One click

Payment methods? Tick

Weekly Drops: Launches & Deals