how to solve ```2025-08-06 10:50:05,208 - livekit....
# ask-ai
c
how to solve
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2025-08-06 10:50:05,208 - livekit.agents - ERROR - tried to call AI function `product_verification` with invalid arguments Traceback (most recent call last): File "/Users/antoinemarcel/Desktop/test/phonecalls/clean_code/venv/lib/python3.11/site-packages/livekit/agents/voice/generation.py", line 338, in _execute_tools_task fnc_args, fnc_kwargs = llm_utils.prepare_function_arguments( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/antoinemarcel/Desktop/test/phonecalls/clean_code/venv/lib/python3.11/site-packages/livekit/agents/llm/utils.py", line 365, in prepare_function_arguments model = model_type.model_validate(args_dict) # can raise ValidationError ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/Users/antoinemarcel/Desktop/test/phonecalls/clean_code/venv/lib/python3.11/site-packages/pydantic/main.py", line 703, in model_validate return cls.__pydantic_validator__.validate_python( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ pydantic_core._pydantic_core.ValidationError: 1 validation error for ProductVerificationArgs product_id Field required [type=missing, input_value={}, input_type=dict] For further information visit <https://errors.pydantic.dev/2.11/v/missing>
t
Thanks for reaching out, Antoine. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
The error indicates that the
product_id
field is missing, which is required for the
ProductVerificationArgs
schema. To resolve this: • Ensure the
product_id
is included in your request payload. For example:
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{
  "product_id": 1,
  "product_name": "Example Product",
  "price": 19.99,
  "tags": [
    "electronics",
    "gadget"
  ],
  "dimensions": {
    "length": 10,
    "width": 5,
    "height": 2
  }
}
• Verify that all required fields, such as
product_id
,
product_name
, and
price
, are included in your request. • Check your data flow to ensure the
product_id
is passed correctly through all layers of your application. • Validate the data before submission to ensure no fields are missing or incorrectly formatted. If you need further assistance, please share more details about your implementation, such as the code snippet or request payload causing the error, or any specific scenarios where this occurs.
c
but it seems a problem from the llm
t
Hey there! If the hiccup is coming from the LLM function call itself, here are some friendly steps to help you sort it out: • Make sure all the required arguments are included and formatted just right before you make the function call. You can use the
prepare_function_arguments
utility to double-check and handle those arguments smoothly. • Keep an eye out for any exceptions during the function’s execution. The system will send out an
LLMError
event with details about what went wrong, which is super helpful for debugging. • Take a moment to verify your chat and function context settings to confirm the LLM has all the info it needs to process your request properly. • Leverage the built-in logging and error notifications to spot any missing or incorrect arguments. These logs give you detailed clues to troubleshoot effectively. • Try out the function calls using the handy utilities provided to make sure they’re receiving the right arguments and handling optional ones correctly. If you’d like, feel free to share more about the specific LLM function call or the situation where this error pops up—I’m here to help with more tailored advice! Sources: livekit-agents/livekit/agents/voice/generation.py | plugins/openai/src/llm.ts