Enhance the e2e testing of the ai-token-ratelimit plugin based on the LLM mock server

Repository metrics

Stars

9,177 stars (9,177 stars)

PR merge metrics

Avg merge 7d 9h (Avg merge 7d 9h)18 merged PRs in 30d (18 merged PRs in 30d)

Description

Contributor guide

Research direction

Familiarize with the existing e2e test infrastructure in the repository, especially for the ai token ratelimit plugin. Understand how the LLM mock server is used in tests and identify areas for enhancement, such as test coverage, mocking scenarios, or integration with CI.

Tech stack

go

Domain

backendapiai infra agents

Issue type

Test

DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.

2

Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.

1-3 hours

Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.

Fresh

ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.

Mostly clear

Prerequisites

Goe2e testing concepts

Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.

70