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

const llm = new anthropic.LLM();                            // reads ANTHROPIC_API_KEY
const llm = new anthropic.LLM({ apiKey: "sk-ant-...", model: "claude-haiku-4-5-20251001" });
const llm = new anthropic.LLM({ promptCaching: false });    // opt out of caching

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

const llm2 = new AnthropicLLM();

# Namespaced import
from getpatter.llm import anthropic

llm = anthropic.LLM()                                       # reads ANTHROPIC_API_KEY
llm = anthropic.LLM(api_key="sk-ant-...", model="claude-haiku-4-5-20251001")
llm = anthropic.LLM(prompt_caching=False)                   # opt out of caching

# Flat alias (equivalent)
from getpatter import AnthropicLLM

llm = AnthropicLLM()

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

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

const agent = phone.agent({
  stt: new DeepgramSTT(),
  llm: new AnthropicLLM(),                                  // ANTHROPIC_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 });

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

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

agent = phone.agent(
    stt=DeepgramSTT(),
    llm=AnthropicLLM(),                                     # ANTHROPIC_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))