Pryvra for Pipecat

After the first PyPI release, install the processor in your Pipecat application:

pip install pryvra-pipecat

It uses Pipecat's normal frame-processor contract and expects a vault object with tokenize(text).text and restore(text) methods. The vault can be a Python client that calls the trusted service holding your Pryvra AES key.

from pryvra_pipecat import PrivacyFrameProcessor

pipeline = Pipeline([
    transport.input(), stt,
    PrivacyFrameProcessor(vault, mode="input"),   # before context aggregator / LLM
    context_aggregator.user(), llm,
    PrivacyFrameProcessor(vault, mode="output"),  # before TTS
    tts, transport.output(), context_aggregator.assistant(),
])

Keep the two processors within the same trusted service boundary as the vault.

For local development before the first PyPI release:

pip install ./integrations/pipecat