ci: add PR-Agent review workflow (#499)

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InfinityPacer
2026-06-23 23:21:55 +08:00
committed by GitHub
parent ea0b5b62d9
commit e211a80cf4

126
.github/workflows/pr-agent.yml vendored Normal file
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name: PR Agent
on:
pull_request:
# PR-Agent 读取 PR diff并写入 Review 评论或更新 PR 描述。
# synchronize 用于在 PR 推送新 commit 后刷新审查结果。
types:
- opened
- reopened
- ready_for_review
- review_requested
- synchronize
issue_comment:
# 手动命令如 "/review"、"/describe"、"/improve" 和 "/ask ..." 只在 PR 评论中有意义。
# issue_comment 同时覆盖普通 issue因此 job 里还会再判断是否属于 PR。
types:
- created
- edited
permissions:
# 读取仓库内容和 PR diff。
contents: read
# 更新 PR 描述、发布 PR Review 或修改 PR 相关元数据。
pull-requests: write
# PR 评论在 GitHub API 中属于 issue comments手动命令和总结评论需要该权限。
issues: write
jobs:
pr-agent:
name: PR-Agent review and describe
# 同仓 PR 可自动处理fork PR 由允许身份在 PR 下用评论命令触发,避免任意评论消耗模型配额。
if: >-
github.event.sender.type != 'Bot' &&
(
(
github.event_name == 'pull_request' &&
github.event.pull_request.head.repo.full_name == github.repository
) ||
(
github.event_name == 'issue_comment' &&
github.event.issue.pull_request != null &&
contains(fromJSON('["OWNER", "MEMBER", "COLLABORATOR", "CONTRIBUTOR", "FIRST_TIME_CONTRIBUTOR"]'), github.event.comment.author_association) &&
(
github.event.comment.body == '/review' ||
startsWith(github.event.comment.body, '/review ') ||
github.event.comment.body == '/describe' ||
startsWith(github.event.comment.body, '/describe ') ||
github.event.comment.body == '/improve' ||
startsWith(github.event.comment.body, '/improve ') ||
github.event.comment.body == '/ask' ||
startsWith(github.event.comment.body, '/ask ')
)
)
)
runs-on: ubuntu-latest
timeout-minutes: 20
steps:
- name: Run PR-Agent
id: pragent
# 使用版本号加 digest 固定容器构建,避免 tag 被重推后改变运行内容。
uses: docker://pragent/pr-agent:0.37.0-github_action@sha256:4ec7bac814050a1bc8c96ab2fab6b7b0f65df0049a5ec43f3fee1a0b551c28ca
env:
# PR-Agent 使用该 token 读取 PR 元数据并发布评论。
GITHUB_TOKEN: ${{ github.token }}
# 仓库设置中添加的 SecretSettings -> Secrets and variables -> Actions。
# 该 key 只传给 PR-Agent 运行时,不写入仓库。
OPENAI_KEY: ${{ secrets.OPENAI_KEY }}
# 仓库设置中添加的 Secret。OpenAI 兼容服务通常需要填写以 "/v1" 结尾的 API 根地址。
OPENAI.API_BASE: ${{ secrets.OPENAI_API_BASE }}
# 模型、输出语言和大 diff 处理策略。
config.model: "gpt-5.5"
config.fallback_models: '["gpt-5.4"]'
config.reasoning_effort: "xhigh"
config.ai_timeout: "900"
config.response_language: "zh-CN"
config.large_patch_policy: "clip"
config.ignore_pr_title: '["^\\[Auto\\]", "^Auto"]'
config.ignore_pr_labels: '["skip pr-agent"]'
# pull_request 事件默认自动执行 /review 和 /describe/improve 保持手动触发。
github_action_config.auto_review: "true"
github_action_config.auto_describe: "true"
github_action_config.auto_improve: "false"
# 允许触发自动工具的 PR 动作。包含 synchronize便于新 commit 推送后刷新结果。
github_action_config.pr_actions: '["opened", "reopened", "ready_for_review", "review_requested", "synchronize"]'
# 保留 action outputs便于后续 workflow 编排或排查。
github_action_config.enable_output: "true"
# /describe 行为控制;与自动触发配置放在同一层,避免使用默认图表和标签策略。
pr_description.generate_ai_title: "false"
pr_description.publish_labels: "false"
pr_description.enable_pr_diagram: "false"
pr_description.collapsible_file_list: "adaptive"
pr_description.add_original_user_description: "true"
# /review 输出策略,聚焦维护者需要处理的风险和缺口。
pr_reviewer.extra_instructions: |
请用中文输出。
优先指出 P0/P1 风险,避免纠结纯格式问题。
重点检查安全、权限、状态一致性、异步/缓存、副作用和测试缺口。
pr_reviewer.num_max_findings: "5"
pr_reviewer.persistent_comment: "true"
pr_reviewer.publish_output_no_suggestions: "true"
pr_reviewer.require_tests_review: "true"
pr_reviewer.require_security_review: "true"
pr_reviewer.require_estimate_effort_to_review: "true"
pr_reviewer.require_can_be_split_review: "true"
pr_reviewer.require_todo_scan: "false"
pr_reviewer.enable_review_labels_effort: "false"
pr_reviewer.enable_review_labels_security: "true"
# /improve 和 /ask 的手动命令策略。
pr_code_suggestions.focus_only_on_problems: "true"
pr_code_suggestions.suggestions_score_threshold: "7"
pr_code_suggestions.commitable_code_suggestions: "false"
pr_questions.use_conversation_history: "true"
# 可选成本和噪音控制:
# github_action_config.auto_improve: "true"
# config.verbosity_level: "1"
# pr_reviewer.num_max_findings: "3"