SearchAgentCaseItem.md

SearchAgentCaseItem

Properties

Name	Type	Description	Notes
id	str	Agent-case id.
app_id	str	The business-semantic scope this case was written under.
project_id	str	Second half of that scope.
agent_id	str	The agent that owns this case.
session_id	str	The session whose trajectory the case was distilled from.
task_intent	str	What the agent was trying to do in that trajectory.
approach	str	How it went about it — the reusable part of the case.
quality_score	float	How good this case is judged to be. Nominally 0.0–1.0 with 0.5 as the no-opinion default, but the value is the extractor's own and nothing on the write path enforces the range — treat an out-of-range number as possible. One threshold is real: a case scoring below 0.2 is never distilled into a skill.
key_insight	str		[optional]
timestamp	datetime	When the trajectory happened (ISO 8601).
score	float	Relevance of this case to the query.

Example

from everos_cloud.models.search_agent_case_item import SearchAgentCaseItem

# TODO update the JSON string below
json = "{}"
# create an instance of SearchAgentCaseItem from a JSON string
search_agent_case_item_instance = SearchAgentCaseItem.from_json(json)
# print the JSON string representation of the object
print(SearchAgentCaseItem.to_json())

# convert the object into a dict
search_agent_case_item_dict = search_agent_case_item_instance.to_dict()
# create an instance of SearchAgentCaseItem from a dict
search_agent_case_item_from_dict = SearchAgentCaseItem.from_dict(search_agent_case_item_dict)

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