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when should i use stt definition in agentsession o...
# ask-ai
m
when should i use stt definition in agentsession or Agent?
t
Thanks for reaching out, Jack. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
When you want to handle speech-to-text (STT) during a session, it’s best to use the STT definition inside AgentSession. That’s because AgentSession takes care of the whole audio processing environment, including STT, VAD (Voice Activity Detection), and turn detection—making sure everything runs smoothly. Here’s a quick example:
Copy code
session = AgentSession(
    stt=assemblyai.STT(),
    vad=silero.VAD.load(),
    turn_detection="stt",
    # ... other parameters
)
You’ll also see that the Agent class can hold an STT instance, but the real action for audio processing and STT happens inside the AgentSession.
m
could this fix some issues with calls ending early / failing?
t
Using STT in AgentSession can be a great way to tackle those frustrating issues with calls ending too soon or failing unexpectedly. By setting 
turn_detection
to "stt," the system listens for the STT model’s cues to know when you’ve finished speaking, which helps prevent calls from cutting off too early. Plus, STT is pretty good at handling little hiccups along the way, so your sessions are more likely to keep going smoothly instead of just stopping. That said, how well this works really depends on the quality and setup of your STT provider. Here’s a quick example of how you can set this up:
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session = AgentSession(
    stt=my_stt_provider,
    turn_detection="stt",
    # ... other parameters
)
If you’d like, I’m happy to walk you through more details on configuring STT or chat about other settings that might help! Sources: Turn detection and interruptions | LiveKit Docs | AssemblyAI integration guide | LiveKit Docs | livekit-agents/livekit/agents/voice/agent.py | Speech-to-text (STT) integrations | LiveKit Docs
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