# Namespaced import
from getpatter.llm import google

llm = google.LLM()                                          # reads GEMINI_API_KEY (or GOOGLE_API_KEY)
llm = google.LLM(api_key="AIza...", model="gemini-2.5-flash")

# Vertex AI
llm = google.LLM(
    vertexai=True,
    project="my-gcp-project",
    location="us-central1",
)

# Flat alias (equivalent)
from getpatter import GoogleLLM

llm = GoogleLLM()

// Namespaced import
import * as google from "getpatter/llm/google";

const llm = new google.LLM();                               // reads GEMINI_API_KEY or GOOGLE_API_KEY
const llm = new google.LLM({ apiKey: "AIza...", model: "gemini-2.5-flash" });

// Flat alias (equivalent)
import { GoogleLLM } from "getpatter";

const llm2 = new GoogleLLM();

import asyncio
from getpatter import Patter, Twilio, DeepgramSTT, GoogleLLM, ElevenLabsTTS

phone = Patter(carrier=Twilio(), phone_number="+15550001234")

agent = phone.agent(
    stt=DeepgramSTT(),
    llm=GoogleLLM(),                                        # GEMINI_API_KEY from env
    tts=ElevenLabsTTS(voice_id="rachel"),
    system_prompt="You are a helpful assistant.",
    first_message="Hi, how can I help?",
)

asyncio.run(phone.serve(agent))

import { Patter, Twilio, DeepgramSTT, GoogleLLM, ElevenLabsTTS } from "getpatter";

const phone = new Patter({ carrier: new Twilio(), phoneNumber: "+15550001234" });

const agent = phone.agent({
  stt: new DeepgramSTT(),
  llm: new GoogleLLM(),                                     // GEMINI_API_KEY from env
  tts: new ElevenLabsTTS({ voiceId: "rachel" }),
  systemPrompt: "You are a helpful assistant.",
  firstMessage: "Hi, how can I help?",
});

await phone.serve(agent);