Integrations
Kalpa voices in the voice-agent frameworks and platforms you already build on.
Kalpa is available inside voice-agent frameworks and platforms, so an agent you already run can speak in Kalpa voices without code against the API itself. Both integrations default to kalpa-tts-1, which speaks English, Hindi and code-switched Hinglish from one model.
| Integration | What it is | How Kalpa plugs in |
|---|---|---|
| Pipecat | Open-source Python framework for real-time voice and multimodal agents | The pipecat-kalpa community package, maintained by Kalpa Labs: KalpaTTSService (WebSocket) and KalpaHttpTTSService (HTTP streaming) |
| Bolna | Voice AI platform for phone and web agents, with an open-source framework | Built in: set the agent's synthesizer provider to kalpa |
Both stream speech while the agent's reply is still being generated, and stop it when the user interrupts.
Before you start
- An API key for Pipecat, or for a Bolna server you host yourself. Create one at kalpalabs.ai/dashboard/keys and keep it server-side as
KALPA_API_KEY— see Authentication. - A voice. Both integrations default to Arjun, a Hindi and English voice. To choose another, list the catalog with
GET /v1/voices(see Named voices) and pick a voice offered for your model.
Another framework
The integrations call the same public endpoints you can call directly: the streaming WebSocket WSS / for text that arrives as an LLM writes it, and POST / for one utterance per request. Text-to-speech covers both. To ask for an integration, write to hello@kalpalabs.ai.