ai_chat.nula

// AI Chat — conversation loop with the LLM built-in effect.
// An agent actor maintains conversation memory and queries the
// inference provider via `perform Inference.ask`. Requires the
// `ai-runtime` feature (enabled by default).
//
// Run with: nulang examples/ai_chat.nula

actor ChatAgent {
    state history: String = ""
    state turn: Int = 0

    behavior ask(prompt: String) {
        self.turn = self.turn + 1

        // Query the inference provider directly
        let reply = perform Inference.ask(prompt)
        self.history = self.history + "\nQ: " + prompt + "\nA: " + reply

        perform IO.print(
            "[Turn " + perform Int.to_string(self.turn) + "] " + reply
        )
    }

    behavior summarize() {
        let summary = perform Inference.ask(
            "Summarize this conversation:\n" + self.history
        )
        perform IO.print("Summary: " + summary)
    }

    behavior reset() {
        self.history = ""
        self.turn = 0
        perform IO.print("Conversation reset")
    }
}

fn main() {
    let bot = spawn ChatAgent {}
    bot ! ask("What is the capital of France?")
    bot ! ask("What is its population?")
    bot ! summarize()
    bot ! reset()
    0
}