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@kkeve/suite

v0.0.7

Published

AI-powered full-stack test agent CLI - static analysis, unit test, component test, E2E test, execute, evaluate, and report

Readme

keve-agent 使用指南

1. 安装

# 在目标项目中安装
pnpm add -D c

2. 初始化项目

# 在业务项目根目录执行
keve init

# 创建的文件和目录:
#   .keve/                        — keve 工作区
#   keve_test_spec/               — 共享模块(POM + fixtures + config)
#   .codeflicker/skills/keve-case-generation/   — 用例生成 Skill
#   .codeflicker/skills/keve-script-generation/ — 脚本生成 Skill
#   .codeflicker/skills/keve-test-eval/         — 执行与评估 Skill
#   .codeflicker/agents/keve-test-agent.md       — 测试编排 Agent

# 覆盖已有文件
keve init --force

职责边界

  • keve-script-generation:源码分析 + 打标 + POM + spec 生成(不做执行和修复)
  • keve-test-eval:执行 + 评估 + 根因分析 + 修复建议 + 重跑(单次闭环)
  • keve-test-agent:编排层,控制调用顺序和修复轮次上限(≤3 轮)

3. 执行测试

日常使用建议通过 Skill/Agent 触发,CLI 命令保留作为底层入口。

/keve-test-agent 根据需求xxx和代码变更xx 生成测试用例并执行 

手动执行

KEVE_TASK_DIR=.keve/mr-868-temp npx keve run --config=keve_test_spec/keve-test.config.ts   # e2e用例执行
keve vitest --coverage 2>&1 | head -30  # 单元测试 组件测试执行                                       

4. 自定义模型 .env

KEVE_LLM_BASE_URL=https://xxx/api/agent/v1/apps
KEVE_LLM_MODEL=xxx
KEVE_LLM_API_KEY=your-api-key