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
90357
Output Tokens
148
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
Based on the provided text, there isn't a clear definition of a function that has `def name_of_function(messages)`. However, the blog post describes several functions, including `process_message`, `determine_intent`, `extract_order_from_messages`, and `bake_response`.