Advanced Integration

import random

providers = [
    {"name": "openai",     "connection_id": "conn_primary",  "weight": 0.7},
    {"name": "elevenlabs", "connection_id": "conn_fallback", "weight": 0.3},
]

def select_provider(failed_providers=[]):
    available = [p for p in providers if p["name"] not in failed_providers]
    total = sum(p["weight"] for p in available)
    weights = [p["weight"] / total for p in available]
    return random.choices(available, weights=weights)[0]

Caller in US  →  US Region  →  Telepath  →  OpenAI
Caller in EU  →  EU Region  →  Telepath  →  ElevenLabs

import numpy as np
from scipy import signal

class AudioProcessor:
    def __init__(self, sample_rate=16000):
        self.sample_rate = sample_rate
        self.noise_profile = None

    async def process_inbound(self, audio_chunk):
        audio = np.frombuffer(audio_chunk, dtype=np.int16).astype(np.float32)

        # Estimate noise on first chunk
        if self.noise_profile is None:
            self.noise_profile = np.std(audio[:len(audio) // 10])

        # Normalise amplitude
        peak = np.max(np.abs(audio))
        if peak > 0:
            audio = audio / peak

        # High-pass filter: remove rumble below 300 Hz
        sos = signal.butter(4, 300, "hp", fs=self.sample_rate, output="sos")
        audio = signal.sosfilt(sos, audio)

        return (audio * 32767).astype(np.int16).tobytes()

class StatefulAgent:
    def __init__(self):
        self.profiles = {}  # phone_number → profile cache

    async def handle_call(self, call_id, caller_number):
        profile = await self.load_profile(caller_number)

        system_prompt = f"""You are a helpful support agent.
User: {profile.get('name', 'Guest')} ({profile.get('account_type', 'free')})
Previous issues: {', '.join(profile.get('issues', [])) or 'None'}"""

        return await self.forward_to_ai(call_id, system_prompt)

    async def load_profile(self, phone_number):
        if phone_number not in self.profiles:
            self.profiles[phone_number] = await self.db.get_user_by_phone(phone_number)
        return self.profiles[phone_number]

import queue

class ConnectionPool:
    def __init__(self, size=10):
        self.pool = queue.Queue(maxsize=size)
        for _ in range(size):
            self.pool.put(self._create_connection())

    def _create_connection(self):
        return TelephonyBridge(api_key=os.environ["TELEPATH_API_KEY"])

    def acquire(self, timeout=5):
        return self.pool.get(timeout=timeout)

    def release(self, conn):
        self.pool.put(conn)

import asyncio, time

class RateLimiter:
    def __init__(self, calls_per_minute=5000):
        self.limit = calls_per_minute
        self.times = []

    async def wait_if_needed(self):
        now = time.time()
        self.times = [t for t in self.times if t > now - 60]
        if len(self.times) >= self.limit:
            await asyncio.sleep(self.times[0] + 60 - now)
        self.times.append(now)

from prometheus_client import Counter, Histogram, Gauge

calls_total = Counter("calls_total", "Total calls", ["provider", "status"])
call_latency = Histogram("call_latency_seconds", "Call latency", buckets=[.1,.5,1,2,5])
active_calls = Gauge("active_calls", "Currently active calls")

def on_call_start(provider):
    active_calls.inc()

def on_call_end(provider, status, duration_s):
    calls_total.labels(provider=provider, status=status).inc()
    call_latency.observe(duration_s)
    active_calls.dec()

from opentelemetry import trace

tracer = trace.get_tracer(__name__)

def handle_call(call_id, caller_number, provider):
    with tracer.start_as_current_span("handle_call") as span:
        span.set_attribute("call.id", call_id)
        span.set_attribute("call.from", caller_number)
        span.set_attribute("call.provider", provider)

        with tracer.start_as_current_span("route_to_ai"):
            route_to_ai(call_id, provider)

import asyncio

def retry(max_retries=3, base_delay=1):
    def decorator(func):
        async def wrapper(*args, **kwargs):
            for attempt in range(max_retries):
                try:
                    return await func(*args, **kwargs)
                except Exception as e:
                    if attempt == max_retries - 1:
                        raise
                    delay = base_delay * (2 ** attempt)
                    await asyncio.sleep(delay)
        return wrapper
    return decorator

@retry(max_retries=3, base_delay=1)
async def call_ai_provider(prompt):
    return await openai_client.chat(prompt)

from datetime import datetime
from enum import Enum

class State(Enum):
    CLOSED = "closed"       # Normal
    OPEN = "open"           # Failing — reject calls
    HALF_OPEN = "half_open" # Testing recovery

class CircuitBreaker:
    def __init__(self, threshold=5, timeout_s=60):
        self.threshold = threshold
        self.timeout_s = timeout_s
        self.state = State.CLOSED
        self.failures = 0
        self.last_failure = None

    async def call(self, func, *args, **kwargs):
        if self.state == State.OPEN:
            elapsed = (datetime.now() - self.last_failure).seconds
            if elapsed > self.timeout_s:
                self.state = State.HALF_OPEN
            else:
                raise RuntimeError("Circuit breaker OPEN")
        try:
            result = await func(*args, **kwargs)
            self.failures = 0
            self.state = State.CLOSED
            return result
        except Exception:
            self.failures += 1
            self.last_failure = datetime.now()
            if self.failures >= self.threshold:
                self.state = State.OPEN
            raise

from cryptography.fernet import Fernet
import json

class ConfigManager:
    def __init__(self, encryption_key: bytes):
        self.cipher = Fernet(encryption_key)

    def save(self, data: dict, path: str):
        encrypted = self.cipher.encrypt(json.dumps(data).encode())
        with open(path, "wb") as f:
            f.write(encrypted)

    def load(self, path: str) -> dict:
        with open(path, "rb") as f:
            return json.loads(self.cipher.decrypt(f.read()))