AgentOps

AgentOps suits developers debugging an agent application they can instrument. The SDK records events that can make a failure easier to inspect than a final answer alone. Start with a small test task and confirm what data is sent to the service. A trace describes what happened; it does not establish that the agent made the correct decision.

A practical workflow

1. Add the supported SDK to a test application.
2. Configure the permitted event and data collection.
3. Run a known task with an expected outcome.
4. Inspect the trace and compare behavior with the expectation.

Illustrative input

This example describes a task, not a tested output. Adjust the source material and settings to your own situation.

Trace a read-only agent answering a sample handbook question, recording retrieval and model events without private production data.

Result check: Check tool arguments, retrieved context, error handling and whether sensitive data appears in recorded events.

Access and alternatives

Basic hosted access has a free event cap, with paid options for larger usage, retention, exports and team controls. Model-provider usage remains separate. Check current event accounting and data-retention terms before collecting production traces; installing an SDK does not grant free model inference.

Choose another workflow when its emphasis fits better: Langfuse for another LLM observability workflow; LangSmith for a different tracing and evaluation platform.