datarobot-external-agent-monitoringlisted

# DataRobot External Agent Monitoring Skill This skill helps you instrument any AI agent — regardless of framework or deployment environment — to send OpenTelemetry telemetry (traces, logs, metrics) to DataRobot. It also creates a shell deployment in DataRobot as the telemetry routing target. ## Quick Start **Most common use case**: Instrument an existing agent project for DataRobot monitoring 1. Point the agent at your project directory 2. The skill detects your framework and existing OTel setup 3. It generates instrumentation code and creates a DataRobot shell deployment 4. Your agent sends traces, logs, and metrics to DataRobot **Example**: "Instrument my agent in ./my_agent for DataRobot monitoring" ## When to use this skill Use this skill when you need to: - Monitor an external AI agent in DataRobot - Add OpenTelemetry tracing to an agent project - Send agent traces, logs, and metrics to DataRobot - Create a DataRobot deployment to receive external agent telemetry - Instrument a Google ADK, LangChain, LangGraph, CrewAI, LlamaIndex, PydanticAI, or any Python agent ## Supported Frameworks | Framework | Detection | OTel Strategy | |-----------|-----------|---------------| | Google ADK | `google-adk` in deps or `google.adk` in imports | Lazy trace injection via callback (ADK overwrites TracerProvider) | | LangChain / LangGraph | `langchain` or `langgraph` in deps/imports | Auto-instrumentor + standard setup | | CrewAI | `crewai` in deps/imports | Auto-instrumentor +