Deepgram + Gemini + Cartesia

pip install "pipecat-ai[deepgram,google,cartesia]"

# Plivo credentials
PLIVO_AUTH_ID=your_auth_id
PLIVO_AUTH_TOKEN=your_auth_token
PLIVO_PHONE_NUMBER=+1234567890

# AI service credentials
DEEPGRAM_API_KEY=your_deepgram_key
GOOGLE_API_KEY=your_google_key
CARTESIA_API_KEY=your_cartesia_key

from pipecat.services.deepgram import DeepgramSTTService
from pipecat.services.google import GoogleLLMService
from pipecat.services.cartesia import CartesiaTTSService

# Speech-to-Text
stt = DeepgramSTTService(
    api_key=os.getenv("DEEPGRAM_API_KEY"),
)

# Language Model
llm = GoogleLLMService(
    api_key=os.getenv("GOOGLE_API_KEY"),
    model="gemini-1.5-flash",  # or gemini-1.5-pro
)

# Text-to-Speech
tts = CartesiaTTSService(
    api_key=os.getenv("CARTESIA_API_KEY"),
    voice_id="your_voice_id",  # Browse voices at play.cartesia.ai
)

git clone https://github.com/pipecat-ai/pipecat-examples.git
cd pipecat-examples/plivo-chatbot/inbound

# Configure environment
cp env.example .env
# Edit .env with your credentials

# Start server
uv sync && uv run server.py

# Expose with ngrok (development)
ngrok http 7860

cd pipecat-examples/plivo-chatbot/outbound

cp env.example .env
uv sync && uv run server.py

# Initiate a call
curl -X POST http://localhost:7860/start \
  -H "Content-Type: application/json" \
  -d '{"phone_number": "+1234567890"}'