Context Reasoning

Context understanding and reasoning tasks test accurate answers grounded in provided context. This capability is essential for knowledge-base support bots, policy lookup systems, and internal knowledge Q&A applications. Models are evaluated on their ability to provide accurate answers that are properly grounded in the given context rather than hallucinating information.

Duration

21s

Input Tokens

89719

Output Tokens

147

Cost

$0.00

Context

Input

In the blogpost 'Agentic customer service chatbot with tools, tracing and evals' a python function is created to identify the user intent. What is the name of this function? def name_of_function(messages)

Expected output

determine_intent

Model output

There is no function specifically named 'name_of_function' for identifying user intent in the blog post. The function to identify intent is called 'determine_intent()', and it takes a 'messages' parameter to analyze and classify the user's intent.