Function Calling Error when Using APIM Managed Azure OpenAI

[awonglk]

I've followed the article pointed by following issue to try to get my Semantic Kernel app working with APIM managed Azure OpenAI:
#7143

If there's no function calls involved, the responses back from LLM seems to work as normal.

But as soon as I ask a question that involves a plugin (even the core plugin time_plugin() as an example)

    kernel = Kernel()
    service_id = "function_calling"
    api_key = os.environ.get('AZURE_OPENAI_API_KEY')
    kernel.add_service(
        AzureChatCompletion(
            service_id=service_id,
            default_headers={'Ocp-Apim-SubscriptionKey': api_key}
        )
    )
    
    kernel.add_plugin(TimePlugin(), plugin_name="time")

This is what I get when asking a simple question like "What is the time?"

<class 'semantic_kernel.connectors.ai.open_ai.services.azure_chat_completion.AzureChatCompletion'> service failed to complete the prompt\", BadRequestError('Error code: 400 - {\\'statusCode\\': 400, \\'message\\': \"Unable to parse and estimate tokens from incoming request. Please ensure incoming request does not contain any images and is of one of the following types: \\'Chat Completion\\', \\'Completion\\', \\'Embeddings\\' and works with current prompt estimation mode of \\'Auto\\'.\"}'))

Is there anything obvious that I may have missed?
Using semantic-kernel 1.16.0

[moonbox3]

@awonglk can you have a look at #10182 please? Looking for some more info about the request made to the model. Please respond in the issue, thanks.