When it comes to working with large language models (LLMs) and agents, there are plenty of powerful backend frameworks that make it easy to call APIs, manage knowledge bases, and handle memory. But what about the frontend? Are there any frameworks or tools that help bridge the user experience with the underlying LLM/Agent system?
I’ve been thinking about this lately, and I realized that there’s a gap in the frontend space. We have LangChain, LlamaIndex, and Pydantic AI for the backend, but what about the user interface? How do we create a chat-like interface that interacts with users, streams outputs from the model in real-time, supports multi-turn conversations, and visualizes CoT reasoning?
I’m looking for something that helps create a seamless user experience. Any suggestions or examples?
Some of the key features I’m looking for in a frontend framework or tool include:
* Interacting with users in a chat-like interface
* Streaming outputs from the model in real-time
* Supporting multi-turn conversations
* Showing knowledge retrieval steps
* Visualizing CoT (Chain of Thought) reasoning
* Coordinating function calls (Tool/Function calling)
If you know of any frontend frameworks or tools that can help with these features, please share! I’d love to hear about your experiences and learn from others in the community.