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how can I configure the max tokens on the llm resp...
# ask-ai
g
how can I configure the max tokens on the llm response generation ?
t
Thanks for reaching out, Raghava. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
To configure the maximum number of tokens for LLM response generation, you can use the max_output_tokens parameter when initializing your LLM model. For example, if you are using Google's Gemini LLM in LiveKit Agents, you can set it like this:
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session = AgentSession(
    llm=google.LLM(
        model="gemini-2.0-flash-exp",
        temperature=0.8,
        max_output_tokens=1500,  # Set your desired maximum token limit here
    ),
    # ... other parameters
)
The max_output_tokens parameter limits the maximum number of tokens in the generated output, helping to control the length of responses from the model. One token roughly corresponds to one word. If not specified, it uses the model's default value. Sources: Google Gemini integration guide | LiveKit Docs | Adjusting Model Parameters | LiveKit Docs
g
can io use direct google or open ai configuration import ?
t
Yes, you can use direct Google or OpenAI configuration imports in LiveKit. For example, to use Google's Gemini LLM, you can directly import the Google plugin and configure it as follows:
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from livekit.plugins import google

google_llm = google.LLM(
    model="gemini-2.0-flash-exp",
    temperature=0.8,
)
For authentication: • For Google AI: Set the 
api_key
parameter or use the 
GOOGLE_API_KEY
environment variable. • For Vertex AI: Set the 
GOOGLE_APPLICATION_CREDENTIALS
environment variable to your service account key file path. You can then use this LLM instance in your LiveKit agent:
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session = AgentSession(
    llm=google.LLM(
        model="gemini-2.0-flash",
    ),
    # ... other components like stt, tts, etc.
)
To install the Google plugin, use the following command:
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pip install "livekit-agents[google]~=1.0"
Let me know if you need further assistance! Sources: Google integration guide | LiveKit Docs | Google integration guide | LiveKit Docs
g
I see in llm clas has max_completation_tokens why did you mention max_output tokens
t
I'm sorry, but I don't have the information you need at the moment. If you would like a member of the LiveKit team to respond, please ask your question in one of the other channels.
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