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

17s

Input Tokens

70788

Output Tokens

197

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

The provided context does not contain the blog post 'Agentic customer service chatbot with tools, tracing and evals'. It describes a different blog about using o1 models for SWOT analysis. No function matching 'def name_of_function(messages)' for identifying user intent is present in this context.