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https://github.com/LLM-Red-Team/glm-free-api.git
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Merge pull request #8 from Yanyutin753/good
fix logger info update files
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commit
26e1735795
48
.github/workflows/sync.yml
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48
.github/workflows/sync.yml
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@ -0,0 +1,48 @@
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name: Upstream Sync
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permissions:
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contents: write
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issues: write
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actions: write
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on:
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schedule:
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- cron: '0 * * * *' # every hour
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workflow_dispatch:
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jobs:
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sync_latest_from_upstream:
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name: Sync latest commits from upstream repo
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runs-on: ubuntu-latest
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if: ${{ github.event.repository.fork }}
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steps:
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- uses: actions/checkout@v4
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- name: Clean issue notice
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uses: actions-cool/issues-helper@v3
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with:
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actions: 'close-issues'
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labels: '🚨 Sync Fail'
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- name: Sync upstream changes
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id: sync
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uses: aormsby/Fork-Sync-With-Upstream-action@v3.4
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with:
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upstream_sync_repo: LLM-Red-Team/glm-free-api
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upstream_sync_branch: master
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target_sync_branch: master
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target_repo_token: ${{ secrets.GITHUB_TOKEN }} # automatically generated, no need to set
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test_mode: false
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- name: Sync check
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if: failure()
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uses: actions-cool/issues-helper@v3
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with:
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actions: 'create-issue'
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title: '🚨 同步失败 | Sync Fail'
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labels: '🚨 Sync Fail'
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body: |
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Due to a change in the workflow file of the LLM-Red-Team/glm-free-api upstream repository, GitHub has automatically suspended the scheduled automatic update. You need to manually sync your fork. Please refer to the detailed [Tutorial][tutorial-en-US] for instructions.
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由于 LLM-Red-Team/glm-free-api 上游仓库的 workflow 文件变更,导致 GitHub 自动暂停了本次自动更新,你需要手动 Sync Fork 一次,
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@ -429,7 +429,7 @@ async function generateImages(
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console.error(err)
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);
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if(imageUrls.length == 0)
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if (imageUrls.length == 0)
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throw new APIException(EX.API_IMAGE_GENERATION_FAILED);
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return imageUrls;
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@ -452,29 +452,27 @@ async function generateImages(
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* @param messages 参考gpt系列消息格式,多轮对话请完整提供上下文
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*/
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function extractRefFileUrls(messages: any[]) {
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return messages.reduce((urls, message) => {
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if (_.isArray(message.content)) {
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message.content.forEach((v) => {
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if (!_.isObject(v) || !["file", "image_url"].includes(v["type"]))
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return;
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// glm-free-api支持格式
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if (
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v["type"] == "file" &&
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_.isObject(v["file_url"]) &&
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_.isString(v["file_url"]["url"])
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)
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urls.push(v["file_url"]["url"]);
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// 兼容gpt-4-vision-preview API格式
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else if (
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v["type"] == "image_url" &&
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_.isObject(v["image_url"]) &&
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_.isString(v["image_url"]["url"])
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)
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urls.push(v["image_url"]["url"]);
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});
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}
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const urls = [];
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// 如果没有消息,则返回[]
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if (!messages.length) {
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return urls;
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}, []);
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}
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// 只获取最新的消息
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const lastMessage = messages[messages.length - 1];
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if (_.isArray(lastMessage.content)) {
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lastMessage.content.forEach(v => {
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if (!_.isObject(v) || !['file', 'image_url'].includes(v['type']))
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return;
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// glm-free-api支持格式
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if (v['type'] == 'file' && _.isObject(v['file_url']) && _.isString(v['file_url']['url']))
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urls.push(v['file_url']['url']);
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// 兼容gpt-4-vision-preview API格式
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else if (v['type'] == 'image_url' && _.isObject(v['image_url']) && _.isString(v['image_url']['url']))
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urls.push(v['image_url']['url']);
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});
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}
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logger.info("本次请求上传:" + urls.length + "个文件");
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return urls;
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}
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/**
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@ -489,8 +487,16 @@ function extractRefFileUrls(messages: any[]) {
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* @param messages 参考gpt系列消息格式,多轮对话请完整提供上下文
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*/
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function messagesPrepare(messages: any[], refs: any[]) {
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// 只保留最新消息以及不包含"type": "image_url"或"type": "file"的消息
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let validMessages = messages.filter((message, index) => {
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if (index === messages.length - 1) return true;
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if (!Array.isArray(message.content)) return true;
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// 不含"type": "image_url"或"type": "file"的消息保留
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return !message.content.some(v => (typeof v === 'object' && ['file', 'image_url'].includes(v['type'])));
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});
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const content =
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messages.reduce((content, message) => {
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validMessages.reduce((content, message) => {
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if (_.isArray(message.content)) {
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return (
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message.content.reduce((_content, v) => {
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@ -1002,8 +1008,8 @@ async function receiveImages(
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throw new Error(`Stream response invalid: ${event.data}`);
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if (!convId && result.conversation_id)
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convId = result.conversation_id;
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if(result.status == "intervene")
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throw new APIException(EX.API_CONTENT_FILTERED);
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if (result.status == "intervene")
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throw new APIException(EX.API_CONTENT_FILTERED);
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if (result.status != "finish") {
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result.parts.forEach(part => {
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const { content } = part;
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