# Namespaced import
from getpatter.llm import groq

llm = groq.LLM()                                            # reads GROQ_API_KEY
llm = groq.LLM(api_key="gsk_...", model="llama-3.3-70b-versatile")
llm = groq.LLM(
    model="llama-3.3-70b-versatile",
    response_format={"type": "json_object"},                # OpenAI-style structured outputs
    seed=42,
)

# Flat alias (equivalent)
from getpatter import GroqLLM

llm = GroqLLM()

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

const llm = new groq.LLM();                                 // reads GROQ_API_KEY
const llm = new groq.LLM({ apiKey: "gsk_...", model: "llama-3.3-70b-versatile" });
const llm = new groq.LLM({
  model: "llama-3.3-70b-versatile",
  responseFormat: { type: "json_object" },
  seed: 42,
});

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

const llm2 = new GroqLLM();

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

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

agent = phone.agent(
    stt=DeepgramSTT(),
    llm=GroqLLM(),                                          # GROQ_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, GroqLLM, ElevenLabsTTS } from "getpatter";

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

const agent = phone.agent({
  stt: new DeepgramSTT(),
  llm: new GroqLLM(),                                       // GROQ_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);