Class LlmChatBinding

java.lang.Object
com.codename1.ai.LlmChatBinding
public final class LlmChatBinding extends Object

Convenience wiring that turns a ChatView into an LLM-driven chat surface in one call. Pulls the user's input out of the view's ChatInput, appends it as a USER message, opens a streaming chat call against the supplied LlmClient, and pipes deltas into a freshly-appended assistant bubble.

ChatView itself has no dependency on the AI package, so apps that want a peer-to-peer messaging UI (a WhatsApp clone, for example) can keep using ChatView without pulling LlmClient onto their classpath -- it's only when you call bind(ChatView, LlmClient, ChatRequest) that the binding is established.

Example
LlmClient client = LlmClient.openai(SecureStorage.getInstance().get("openai_key"));
ChatRequest base = ChatRequest.builder()
        .model("gpt-4o-mini")
        .addMessage(ChatMessage.system("You are a terse assistant."))
        .build();
ChatView view = new ChatView();
LlmChatBinding.bind(view, client, base);
// ...add view to a Form and that's it.

The view's accumulated history is replayed on every turn so the model has full conversation context. The original baseRequest is treated as a template -- its model, tools, temperature, etc. are preserved across turns; its messages are used only when the view's own history is empty (e.g. to seed a system prompt).