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.

0
Duration
11s
Input Tokens
89120
Output Tokens
143
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 name of the function created to identify the user intent in the blog post 'Agentic customer service chatbot with tools, tracing and evals' is `process_message`.