agent-observability-session-classify
OfficialClassify session satisfaction in Datadog Agent Observability traces.
Authordatadog-labs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill analyzes Datadog Agent Observability traces to classify whether a user's intent was satisfied, providing insights into the effectiveness of AI agent interactions.
Core Features & Use Cases
- Session Classification: Identify if a user's intent was met in a session or trace.
- Mode Detection: Classify based on session_id, trace_id, or ml_app mode.
- Content Retrieval Cascade: Retrieve and analyze conversation content and metadata from the session or trace.
- RUM Behavioral Signals: Utilize Real User Monitoring data to confirm classification.
- Audit Trail Signals: Analyze the audit trail for server-confirmed effects of the assistant's actions.
- Use Case: Use this Skill to evaluate the success of an AI agent's interaction with a user, providing feedback for improvement.
Quick Start
Classify the satisfaction of a session with session_id 'abc-123'.
Dependency Matrix
Required Modules
pupdatadog-api
Components
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: agent-observability-session-classify Download link: https://github.com/datadog-labs/agent-skills/archive/main.zip#agent-observability-session-classify Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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