Quickstart

This guide helps you quickly get familiar with Loop's core capabilities.

​

Prerequisites

​

Observability

Loop provides developers with full-chain, visualized observability of the execution process, completely recording every processing stage from user input to AI output.

1. Report and view call-chain traces and model/tool events.
2. Observe monitoring metrics such as request count, tokens, QPS, latency, and error rate.
3. Set thresholds and notifications for abnormal fluctuations.

For more details, see Observability.

​

Evaluation

Loop provides developers with systematic evaluation capabilities to assess application outputs. By analyzing experiment results, you can dig into edge cases and make targeted improvements.

1. Create and manage evaluation datasets, organizing input samples and expected results.
2. Create or select a grader, configuring rule- or model-based scoring dimensions.
3. Create evaluation tasks and view results—run in batch to generate scores, and analyze score distribution and regression comparisons.

For more details, see Evaluation.