For AI agents: a documentation index is available at the root level at /llms.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
{ "role": "user", "content": "Please connect me to a person." }
],
"output": {
"role": "assistant",
"content": "I will connect you to our support team."
}
},
"behaviors": [
{
"id": "escalation",
"definition": "the user wants a human/agent/representative, or the assistant says a human handoff is needed (not mere frustration or wanting a better answer)."
}
]
}'
span.input holds the prior messages. span.output is the turn being scored.
p_present is 0.73, so escalation is likely. p_absent is the probability it didn’t happen, and p_not_observable is the probability the span lacks the evidence to decide. The three sum to about 1.