Convex Agents Fundamentals

To set up a Convex agent for chat-based LLM responses, install the @convex-dev/agent package, configure it in your convex.config.ts, instantiate an agent with a default chat model, and generate responses in new threads.

Managing per-user conversation threads in Convex involves establishing dedicated threads with automatic message history to maintain context across multiple chat interactions reliably.

Yes, you need TypeScript to configure the @convex-dev/agent component, as this foundational pattern requires integrating the package within a TypeScript-based Convex project environment.

LLMs generate structured responses within Convex agents by using configured prompts and simple tooling patterns, allowing you to structure outputs from language models across your chat-based interactions.

The limitations of basic Convex agents include a focus on foundational patterns, meaning they cover simple tooling and basic response generation rather than advanced reasoning or complex tool execution.