Deepgram + OpenAI + Rime

pip install "pipecat-ai[deepgram,openai,rime]"

# 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
OPENAI_API_KEY=sk-your_openai_key
RIME_API_KEY=your_rime_key

from pipecat.services.deepgram import DeepgramSTTService
from pipecat.services.openai import OpenAILLMService
from pipecat.services.rime import RimeTTSService

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

# Language Model
llm = OpenAILLMService(
    api_key=os.getenv("OPENAI_API_KEY"),
    model="gpt-4o",
)

# Text-to-Speech
tts = RimeTTSService(
    api_key=os.getenv("RIME_API_KEY"),
    # voice="your_voice_id",
)

from pipecat.services.rime import PRONOUNCE

# Replace word with phoneme pronunciation
text = PRONOUNCE(
    "Welcome to Plivo",
    "Plivo",
    "plee-voh"
)

from pipecat.services.rime import SPELL

# Spell out acronyms or codes
text = SPELL("API")  # Says "A P I"

from pipecat.services.rime import INLINE_SPEED

# Speed up specific sections
text = INLINE_SPEED("Terms and conditions apply", 1.3)

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"}'