Sarvam + OpenAI + Sarvam

pip install "pipecat-ai[sarvam,openai]"

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

# AI service credentials
SARVAM_API_KEY=your_sarvam_key
OPENAI_API_KEY=sk-your_openai_key

from pipecat.services.sarvam import SarvamSTTService, SarvamTTSService
from pipecat.services.openai import OpenAILLMService

# Speech-to-Text (Indian languages)
stt = SarvamSTTService(
    api_key=os.getenv("SARVAM_API_KEY"),
    # model="saarika:v2",  # Saarika for STT
)

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

# Text-to-Speech (Indian voices)
tts = SarvamTTSService(
    api_key=os.getenv("SARVAM_API_KEY"),
    # voice_id="your_preferred_voice",
)

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 Plivo, Sarvam, and OpenAI credentials

# Modify bot.py to use Sarvam services
# 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": "+91XXXXXXXXXX"}'