thousands-night-79795
07/08/2025, 12:46 PMtall-airline-16756
07/08/2025, 12:46 PMtall-airline-16756
07/08/2025, 12:46 PMmax_nested_fnc_calls
option when initializing the agent. This option specifies the maximum allowed depth of nested function calls. For example, setting max_nested_fnc_calls=2
restricts the nested function call depth to 2.
If the agent exceeds this limit, it will log a warning and drop the function context internally to prevent excessive nesting.
Here is a sample setup:
from livekit import LLM
from livekit.agents import Agent, AgentSession
from livekit.options import Options
llm = Openai.LLM()
vad = Silero.VAD.load()
stt = Deepgram.STT()
tts = Openai.TTS()
opts = Options(max_nested_fnc_calls=2) # Limit nested function calls to depth 2
agent = Agent(
instructions="Your agent instructions...",
llm=llm,
vad=vad,
stt=stt,
tts=tts,
opts=opts,
)
session = AgentSession()
await session.start(agent=agent, room=...)
This setting helps control and prevent excessive nested function calls within your LiveKit agent environment.thousands-night-79795
07/08/2025, 12:51 PMtall-airline-16756
07/08/2025, 12:51 PMmax_nested_fnc_calls
that helps you control how deep your function calls can go. Think of it like setting a safety limit for your agent's thinking process. The neat part? It's right in the agent configuration, not tucked away in some hidden settings. Let me show you a quick example of how you might set this up in JavaScript (specifically for Node.js): javascript const vpaOptions = { maxNestedFncCalls: 2, // Limit nested function calls to depth 2 // other options like allowInterruptions, interruptMinWords, etc. allowInterruptions: true, interruptMinWords: 5, interruptSpeechDuration: 2.0, minEndpointingDelay: 1.0, preemptiveSynthesis: true, transcription: { userTranscription: true, agentTranscription: true, agentTranscriptionSpeed: 1.0 } }; // Then pass this options object when creating or configuring the agent
By default, if you don't specify this option, it'll stick to a depth of 1. But you can totally adjust it to fit your specific needs. Working in a different environment like Python? No worries! Just let me know, and I'll help you get set up with the right configuration. Sources: VPAOptions | LiveKit Agents | livekit.agents.pipeline API documentation | VPAOptions | LiveKit Agentsthousands-night-79795
07/08/2025, 12:53 PMtall-airline-16756
07/08/2025, 12:54 PM