Hakim

uv pip install git+https://github.com/tryHakimAI/hakim-pipecat.git

import os
from pipecat.pipeline.pipeline import Pipeline
from hakim_pipecat import HakimTTSService

tts = HakimTTSService(
    api_key=os.getenv("HAKIM_API_KEY"),
    voice="your-voice-id",
)

pipeline = Pipeline([
    transport.input(),               # audio/user input
    stt,                              # speech to text
    context_aggregator.user(),        # add user text to context
    llm,                              # LLM generates response
    tts,                               # Hakim TTS synthesis
    transport.output(),               # stream audio back to user
    context_aggregator.assistant(),   # store assistant response
])