What problem does it solve?
Teams running LLM agents in production need continuous quality scoring and synchronous safety enforcement on live traffic, but setting up monitors, evaluators, and guardrails correctly requires knowing evaluator types, sampling rates, and execution modes.
Core Features & Use Cases
- Online Evaluation Setup: Create monitors that asynchronously score live traces or threads using evaluators from the LangWatch catalog, with configurable levels and sample rates.
- Guardrail Configuration: Add synchronous guardrails (platform-managed or in-code) that block unsafe requests such as jailbreak attempts or PII leaks before they reach protected operations.
- Verification Workflow: Inspect existing monitors and evaluators via the langwatch CLI, then verify real evaluation results appear in analytics before declaring success.
- Use Case: A team wants to monitor production chatbot quality and block jailbreak attempts. The skill guides creating a trace-level monitor with a conservative sample rate plus a jailbreak guardrail, then verifies both with real traffic.
Quick Start
Ask the assistant to set up online evaluations for your agent's production traffic using the langwatch CLI.