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.

100
Duration
26s
Input Tokens
89720
Output Tokens
234
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 is `determine_intent`. It's defined as `def determine_intent(messages)` in the blog post and is used to analyze user messages and classify their intent into categories like 'get_order_status', 'query_products', or 'unsupported'.