Compare commits
54 Commits
v4.8.10-fi
...
v4.8.11-al
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
21ab855871 | ||
|
|
aee5de29c7 | ||
|
|
78d15c2a2f | ||
|
|
54e0a0eab1 | ||
|
|
e6bad93b32 | ||
|
|
12d7ba5d73 | ||
|
|
5ad8c81ef3 | ||
|
|
cb6fe9d0da | ||
|
|
1cf76ee7df | ||
|
|
edebfdf5ef | ||
|
|
86436d55ff | ||
|
|
e31d6ec2c1 | ||
|
|
6bb10ca150 | ||
|
|
7aa75f8ee0 | ||
|
|
afd2c394d8 | ||
|
|
434c03c955 | ||
|
|
f4d4d6516c | ||
|
|
b6833ca3ea | ||
|
|
3ab934771f | ||
|
|
4245ea4998 | ||
|
|
9eb02b7e38 | ||
|
|
75af549c7f | ||
|
|
5e7c97b7b8 | ||
|
|
6c2a7574c3 | ||
|
|
ca9f36ef9f | ||
|
|
265434799f | ||
|
|
258de4471e | ||
|
|
d83bb9d2c7 | ||
|
|
093bfa2134 | ||
|
|
539bc77934 | ||
|
|
aabbe06e41 | ||
|
|
bb22fa6548 | ||
|
|
bd2509bd41 | ||
|
|
561516eeef | ||
|
|
2bdda4638d | ||
|
|
1ebc95a282 | ||
|
|
d0e8f7203c | ||
|
|
092bb9ab17 | ||
|
|
9de8849193 | ||
|
|
3d5da27079 | ||
|
|
c454fe07cb | ||
|
|
3e144c4227 | ||
|
|
d8b2887625 | ||
|
|
ba3b3280b4 | ||
|
|
390b8f5b86 | ||
|
|
d74e6a47d6 | ||
|
|
424c745cbb | ||
|
|
0abbcf1401 | ||
|
|
da1126ed3c | ||
|
|
56281d92f2 | ||
|
|
fde1618af2 | ||
|
|
22bb4c1e2e | ||
|
|
6331f4b845 | ||
|
|
5101c7a6dc |
2
.github/ISSUE_TEMPLATE/bugs.md
vendored
2
.github/ISSUE_TEMPLATE/bugs.md
vendored
@@ -11,7 +11,7 @@ assignees: ''
|
||||
[//]: # '方框内填 x 表示打钩'
|
||||
|
||||
- [ ] 我已确认目前没有类似 issue
|
||||
- [ ] 我已完整查看过项目 README,以及[项目文档](https://doc.fastgpt.in/docs/intro/)
|
||||
- [ ] 我已完整查看过项目 README,以及[项目文档](https://doc.tryfastgpt.ai/docs/intro/)
|
||||
- [ ] 我使用了自己的 key,并确认我的 key 是可正常使用的
|
||||
- [ ] 我理解并愿意跟进此 issue,协助测试和提供反馈
|
||||
- [x] 我理解并认可上述内容,并理解项目维护者精力有限,**不遵循规则的 issue 可能会被无视或直接关闭**
|
||||
|
||||
2
.github/ISSUE_TEMPLATE/config.yml
vendored
2
.github/ISSUE_TEMPLATE/config.yml
vendored
@@ -1,5 +1,5 @@
|
||||
blank_issues_enabled: false
|
||||
contact_links:
|
||||
- name: 飞书话题群
|
||||
url: https://oss.laf.run/otnvvf-imgs/1719505774252.jpg
|
||||
url: https://oss.laf.run/otnvvf-imgs/feishu3.png
|
||||
about: FastGPT 全是问题群
|
||||
|
||||
68
.vscode/nextapi.code-snippets
vendored
68
.vscode/nextapi.code-snippets
vendored
@@ -50,5 +50,73 @@
|
||||
"export default ContextProvider"
|
||||
],
|
||||
"description": "FastGPT usecontext template"
|
||||
},
|
||||
|
||||
"Jest test template": {
|
||||
"scope": "typescriptreact",
|
||||
"prefix": "jesttest",
|
||||
"body": [
|
||||
"import '@/pages/api/__mocks__/base';",
|
||||
"import { root } from '@/pages/api/__mocks__/db/init';",
|
||||
"import { getTestRequest } from '@/test/utils';",
|
||||
"import { AppErrEnum } from '@fastgpt/global/common/error/code/app';",
|
||||
"import handler from './demo';",
|
||||
"",
|
||||
"// Import the schema",
|
||||
"import { MongoOutLink } from '@fastgpt/service/support/outLink/schema';",
|
||||
"",
|
||||
"beforeAll(async () => {",
|
||||
" // await MongoOutLink.create({",
|
||||
" // shareId: 'aaa',",
|
||||
" // appId: root.appId,",
|
||||
" // tmbId: root.tmbId,",
|
||||
" // teamId: root.teamId,",
|
||||
" // type: 'share',",
|
||||
" // name: 'aaa'",
|
||||
" // })",
|
||||
"});",
|
||||
"",
|
||||
"test('Should return a list of outLink', async () => {",
|
||||
" // Mock request",
|
||||
" const res = (await handler(",
|
||||
" ...getTestRequest({",
|
||||
" query: {",
|
||||
" appId: root.appId,",
|
||||
" type: 'share'",
|
||||
" },",
|
||||
" user: root",
|
||||
" })",
|
||||
" )) as any;",
|
||||
"",
|
||||
" expect(res.code).toBe(200);",
|
||||
" expect(res.data.length).toBe(2);",
|
||||
"});",
|
||||
"",
|
||||
"test('appId is required', async () => {",
|
||||
" const res = (await handler(",
|
||||
" ...getTestRequest({",
|
||||
" query: {",
|
||||
" type: 'share'",
|
||||
" },",
|
||||
" user: root",
|
||||
" })",
|
||||
" )) as any;",
|
||||
" expect(res.code).toBe(500);",
|
||||
" expect(res.error).toBe(AppErrEnum.unExist);",
|
||||
"});",
|
||||
"",
|
||||
"test('if type is not provided, return nothing', async () => {",
|
||||
" const res = (await handler(",
|
||||
" ...getTestRequest({",
|
||||
" query: {",
|
||||
" appId: root.appId",
|
||||
" },",
|
||||
" user: root",
|
||||
" })",
|
||||
" )) as any;",
|
||||
" expect(res.code).toBe(200);",
|
||||
" expect(res.data.length).toBe(0);",
|
||||
"});"
|
||||
]
|
||||
}
|
||||
}
|
||||
2
.vscode/settings.json
vendored
2
.vscode/settings.json
vendored
@@ -21,7 +21,7 @@
|
||||
"i18n-ally.namespace": true,
|
||||
"i18n-ally.pathMatcher": "{locale}/{namespaces}.json",
|
||||
"i18n-ally.extract.targetPickingStrategy": "most-similar-by-key",
|
||||
"i18n-ally.translate.engines": ["deepl", "google"],
|
||||
"i18n-ally.translate.engines": ["google"],
|
||||
"[typescript]": {
|
||||
"editor.defaultFormatter": "esbenp.prettier-vscode"
|
||||
}
|
||||
|
||||
46
README.md
46
README.md
@@ -1,6 +1,6 @@
|
||||
<div align="center">
|
||||
|
||||
<a href="https://fastgpt.in/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
|
||||
<a href="https://tryfastgpt.ai/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
|
||||
|
||||
# FastGPT
|
||||
|
||||
@@ -15,13 +15,13 @@ FastGPT 是一个基于 LLM 大语言模型的知识库问答系统,提供开
|
||||
</div>
|
||||
|
||||
<p align="center">
|
||||
<a href="https://fastgpt.in/">
|
||||
<a href="https://tryfastgpt.ai/">
|
||||
<img height="21" src="https://img.shields.io/badge/在线使用-d4eaf7?style=flat-square&logo=spoj&logoColor=7d09f1" alt="cloud">
|
||||
</a>
|
||||
<a href="https://doc.fastgpt.in/docs/intro">
|
||||
<a href="https://doc.tryfastgpt.ai/docs/intro">
|
||||
<img height="21" src="https://img.shields.io/badge/相关文档-7d09f1?style=flat-square" alt="document">
|
||||
</a>
|
||||
<a href="https://doc.fastgpt.in/docs/development">
|
||||
<a href="https://doc.tryfastgpt.ai/docs/development">
|
||||
<img height="21" src="https://img.shields.io/badge/本地开发-%23d4eaf7?style=flat-square&logo=xcode&logoColor=7d09f1" alt="development">
|
||||
</a>
|
||||
<a href="/#-%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE">
|
||||
@@ -36,7 +36,7 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
|
||||
|
||||
## 🛸 在线使用
|
||||
|
||||
- 🌍 海外版:[fastgpt.in](https://fastgpt.in/)
|
||||
- 🌍 国际版:[tryfastgpt.ai](https://tryfastgpt.ai/)
|
||||
|
||||
| | |
|
||||
| ---------------------------------- | ---------------------------------- |
|
||||
@@ -50,22 +50,22 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
|
||||
## 💡 RoadMap
|
||||
|
||||
`1` 应用编排能力
|
||||
- [x] 提供简易模式,无需操作编排
|
||||
- [x] 工作流编排
|
||||
- [x] 对话工作流、插件工作流
|
||||
- [x] 工具调用
|
||||
- [x] 插件 - 工作流封装能力
|
||||
- [x] Code sandbox
|
||||
- [ ] 循环调用
|
||||
- [x] 循环调用
|
||||
- [x] 用户选择
|
||||
- [ ] 表单输入
|
||||
|
||||
`2` 知识库能力
|
||||
- [x] 多库复用,混用
|
||||
- [x] chunk 记录修改和删除
|
||||
- [x] 源文件存储
|
||||
- [x] 支持手动输入,直接分段,QA 拆分导入
|
||||
- [x] 支持 txt,md,html,pdf,docx,pptx,csv,xlsx (有需要更多可 PR file loader)
|
||||
- [x] 支持 url 读取、CSV 批量导入
|
||||
- [x] 混合检索 & 重排
|
||||
- [ ] 标签过滤
|
||||
- [ ] 自定义文件读取服务
|
||||
- [ ] 自定义分块服务
|
||||
|
||||
`3` 应用调试能力
|
||||
- [x] 知识库单点搜索测试
|
||||
@@ -88,7 +88,7 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
|
||||
`6` 其他
|
||||
- [x] 支持语音输入和输出 (可配置语音输入语音回答)
|
||||
- [x] 模糊输入提示
|
||||
- [ ] 模板市场
|
||||
- [x] 模板市场
|
||||
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
|
||||
@@ -102,15 +102,15 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
|
||||
|
||||
> 使用 [Sealos](https://sealos.io) 服务,无需采购服务器、无需域名,支持高并发 & 动态伸缩,并且数据库应用采用 kubeblocks 的数据库,在 IO 性能方面,远超于简单的 Docker 容器部署。
|
||||
|
||||
[点击查看 Sealos 一键部署 FastGPT 教程](https://doc.fastgpt.in/docs/development/sealos/)
|
||||
[点击查看 Sealos 一键部署 FastGPT 教程](https://doc.tryfastgpt.ai/docs/development/sealos/)
|
||||
|
||||
* [快速开始本地开发](https://doc.fastgpt.in/docs/development/intro/)
|
||||
* [部署 FastGPT](https://doc.fastgpt.in/docs/development/sealos)
|
||||
* [系统配置文件说明](https://doc.fastgpt.in/docs/development/configuration/)
|
||||
* [多模型配置](https://doc.fastgpt.in/docs/development/one-api/)
|
||||
* [版本更新/升级介绍](https://doc.fastgpt.in/docs/development/upgrading)
|
||||
* [OpenAPI API 文档](https://doc.fastgpt.in/docs/development/openapi/)
|
||||
* [知识库结构详解](https://doc.fastgpt.in/docs/course/dataset_engine/)
|
||||
* [快速开始本地开发](https://doc.tryfastgpt.ai/docs/development/intro/)
|
||||
* [部署 FastGPT](https://doc.tryfastgpt.ai/docs/development/sealos)
|
||||
* [系统配置文件说明](https://doc.tryfastgpt.ai/docs/development/configuration/)
|
||||
* [多模型配置](https://doc.tryfastgpt.ai/docs/development/one-api/)
|
||||
* [版本更新/升级介绍](https://doc.tryfastgpt.ai/docs/development/upgrading)
|
||||
* [OpenAPI API 文档](https://doc.tryfastgpt.ai/docs/development/openapi/)
|
||||
* [知识库结构详解](https://doc.tryfastgpt.ai/docs/course/dataset_engine/)
|
||||
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
|
||||
@@ -120,7 +120,7 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
|
||||
|
||||
扫码加入飞书话题群 (新开,逐渐弃用微信群):
|
||||
|
||||

|
||||

|
||||
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
|
||||
@@ -149,7 +149,7 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
|
||||
|
||||
## 🌿 第三方生态
|
||||
|
||||
- [OnWeChat 个人微信/企微机器人](https://doc.fastgpt.in/docs/use-cases/onwechat/)
|
||||
- [OnWeChat 个人微信/企微机器人](https://doc.tryfastgpt.ai/docs/use-cases/onwechat/)
|
||||
|
||||
<a href="#readme">
|
||||
<img src="https://img.shields.io/badge/-返回顶部-7d09f1.svg" alt="#" align="right">
|
||||
@@ -212,4 +212,4 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
|
||||
1. 允许作为后台服务直接商用,但不允许提供 SaaS 服务。
|
||||
2. 未经商业授权,任何形式的商用服务均需保留相关版权信息。
|
||||
3. 完整请查看 [FastGPT Open Source License](./LICENSE)
|
||||
4. 联系方式:Dennis@sealos.io,[点击查看商业版定价策略](https://doc.fastgpt.in/docs/commercial)
|
||||
4. 联系方式:Dennis@sealos.io,[点击查看商业版定价策略](https://doc.tryfastgpt.ai/docs/commercial)
|
||||
|
||||
22
README_en.md
22
README_en.md
@@ -1,6 +1,6 @@
|
||||
<div align="center">
|
||||
|
||||
<a href="https://fastgpt.in/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
|
||||
<a href="https://tryfastgpt.ai/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
|
||||
|
||||
# FastGPT
|
||||
|
||||
@@ -15,13 +15,13 @@ FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive
|
||||
</div>
|
||||
|
||||
<p align="center">
|
||||
<a href="https://fastgpt.in/">
|
||||
<a href="https://tryfastgpt.ai/">
|
||||
<img height="21" src="https://img.shields.io/badge/Try it Online-d4eaf7?style=flat-square&logo=spoj&logoColor=7d09f1" alt="cloud">
|
||||
</a>
|
||||
<a href="https://doc.fastgpt.in/docs/intro">
|
||||
<a href="https://doc.tryfastgpt.ai/docs/intro">
|
||||
<img height="21" src="https://img.shields.io/badge/Documents-7d09f1?style=flat-square" alt="document">
|
||||
</a>
|
||||
<a href="https://doc.fastgpt.in/docs/development">
|
||||
<a href="https://doc.tryfastgpt.ai/docs/development">
|
||||
<img height="21" src="https://img.shields.io/badge/Local Development-%23d4eaf7?style=flat-square&logo=xcode&logoColor=7d09f1" alt="development">
|
||||
</a>
|
||||
<a href="https://github.com/labring/FastGPT/blob/main/LICENSE">
|
||||
@@ -39,7 +39,7 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
|
||||
|
||||
## 🛸 Use Cloud Services
|
||||
|
||||
Cloud: [fastgpt.in](https://fastgpt.in/)
|
||||
Cloud: [tryfastgpt.ai](https://tryfastgpt.ai/)
|
||||
|
||||
| | |
|
||||
| ---------------------------------- | ---------------------------------- |
|
||||
@@ -113,16 +113,16 @@ Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
|
||||
|
||||
Give it a 2-4 minute wait after deployment as it sets up the database. Initially, it might be a tad slow since we're using the basic settings.
|
||||
|
||||
- [Getting Started with Local Development](https://doc.fastgpt.in/docs/development)
|
||||
- [Deploying FastGPT](https://doc.fastgpt.in/docs/installation)
|
||||
- [Guide on System Configs](https://doc.fastgpt.in/docs/installation/reference)
|
||||
- [Configuring Multiple Models](https://doc.fastgpt.in/docs/installation/reference/models)
|
||||
- [Version Updates & Upgrades](https://doc.fastgpt.in/docs/installation/upgrading)
|
||||
- [Getting Started with Local Development](https://doc.tryfastgpt.ai/docs/development)
|
||||
- [Deploying FastGPT](https://doc.tryfastgpt.ai/docs/installation)
|
||||
- [Guide on System Configs](https://doc.tryfastgpt.ai/docs/installation/reference)
|
||||
- [Configuring Multiple Models](https://doc.tryfastgpt.ai/docs/installation/reference/models)
|
||||
- [Version Updates & Upgrades](https://doc.tryfastgpt.ai/docs/installation/upgrading)
|
||||
|
||||
|
||||
## 🏘️ Community & support
|
||||
|
||||
+ 🌐 Visit the [FastGPT website](https://fastgpt.in/) for full documentation and useful links.
|
||||
+ 🌐 Visit the [FastGPT website](https://tryfastgpt.ai/) for full documentation and useful links.
|
||||
+ 💬 Join our [Discord server](https://discord.gg/mp68xkZn2Q) is to chat with FastGPT developers and other FastGPT users. This is a good place to learn about FastGPT, ask questions, and share your experiences.
|
||||
+ 🐞 Create [GitHub Issues](https://github.com/labring/FastGPT/issues/new/choose) for bug reports and feature requests.
|
||||
|
||||
|
||||
20
README_ja.md
20
README_ja.md
@@ -1,6 +1,6 @@
|
||||
<div align="center">
|
||||
|
||||
<a href="https://fastgpt.in/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
|
||||
<a href="https://tryfastgpt.ai/"><img src="/.github/imgs/logo.svg" width="120" height="120" alt="fastgpt logo"></a>
|
||||
|
||||
# FastGPT
|
||||
|
||||
@@ -15,13 +15,13 @@ FastGPT は、LLM 上 に 構築 された 知識 ベースの Q&A システム
|
||||
</div>
|
||||
|
||||
<p align="center">
|
||||
<a href="https://fastgpt.in/">
|
||||
<a href="https://tryfastgpt.ai/">
|
||||
<img height="21" src="https://img.shields.io/badge/在线使用-d4eaf7?style=flat-square&logo=spoj&logoColor=7d09f1" alt="cloud">
|
||||
</a>
|
||||
<a href="https://doc.fastgpt.in/docs/intro">
|
||||
<a href="https://doc.tryfastgpt.ai/docs/intro">
|
||||
<img height="21" src="https://img.shields.io/badge/相关文档-7d09f1?style=flat-square" alt="document">
|
||||
</a>
|
||||
<a href="https://doc.fastgpt.in/docs/development">
|
||||
<a href="https://doc.tryfastgpt.ai/docs/development">
|
||||
<img height="21" src="https://img.shields.io/badge/本地开发-%23d4eaf7?style=flat-square&logo=xcode&logoColor=7d09f1" alt="development">
|
||||
</a>
|
||||
<a href="/#-%E7%9B%B8%E5%85%B3%E9%A1%B9%E7%9B%AE">
|
||||
@@ -36,7 +36,7 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
|
||||
|
||||
## 🛸 クラウドサービスの 利用
|
||||
|
||||
[fastgpt.in](https://fastgpt.in/)
|
||||
[tryfastgpt.ai](https://tryfastgpt.ai/)
|
||||
|
||||
| | |
|
||||
| ---------------------------------- | ---------------------------------- |
|
||||
@@ -98,11 +98,11 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
|
||||
|
||||
デプロイ 後、データベースをセットアップするので、2~4分待 ってください。基本設定 を 使 っているので、最初 は 少 し 遅 いかもしれません。
|
||||
|
||||
- [ローカル 開発入門](https://doc.fastgpt.in/docs/development)
|
||||
- [FastGPT のデプロイ](https://doc.fastgpt.in/docs/installation)
|
||||
- [システム 設定 ガイド](https://doc.fastgpt.in/docs/installation/reference)
|
||||
- [複数 モデルの 設定](https://doc.fastgpt.in/docs/installation/reference/models)
|
||||
- [バージョン 更新 とアップグレード](https://doc.fastgpt.in/docs/installation/upgrading)
|
||||
- [ローカル 開発入門](https://doc.tryfastgpt.ai/docs/development)
|
||||
- [FastGPT のデプロイ](https://doc.tryfastgpt.ai/docs/installation)
|
||||
- [システム 設定 ガイド](https://doc.tryfastgpt.ai/docs/installation/reference)
|
||||
- [複数 モデルの 設定](https://doc.tryfastgpt.ai/docs/installation/reference/models)
|
||||
- [バージョン 更新 とアップグレード](https://doc.tryfastgpt.ai/docs/installation/upgrading)
|
||||
|
||||
<!-- ## :point_right: ロードマップ
|
||||
- [FastGPT ロードマップ](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte) -->
|
||||
|
||||
4
dev.md
4
dev.md
@@ -29,6 +29,10 @@ Note: If the Node version is >= 20, you need to pass the `--no-node-snapshot` pa
|
||||
NODE_OPTIONS=--no-node-snapshot pnpm i
|
||||
```
|
||||
|
||||
### Jest
|
||||
|
||||
https://fael3z0zfze.feishu.cn/docx/ZOI1dABpxoGhS7xzhkXcKPxZnDL
|
||||
|
||||
## I18N
|
||||
|
||||
### Install i18n-ally Plugin
|
||||
|
||||
@@ -11,7 +11,7 @@ FastGPT 项目在 Apache License 2.0 许可下开源,同时包含以下附加
|
||||
|
||||
+ FastGPT 允许被用于商业化,例如作为其他应用的“后端即服务”使用,或者作为应用开发平台提供给企业。然而,当满足以下条件时,必须联系作者获得商业许可:
|
||||
|
||||
+ 多租户 SaaS 服务:除非获得 FastGPT 的明确书面授权,否则不得使用 fastgpt.in 的源码来运营与 fastgpt.in 服务类似的多租户 SaaS 服务。
|
||||
+ 多租户 SaaS 服务:除非获得 FastGPT 的明确书面授权,否则不得使用 tryfastgpt.ai 的源码来运营与 tryfastgpt.ai 服务类似的多租户 SaaS 服务。
|
||||
+ LOGO 及版权信息:在使用 FastGPT 的过程中,不得移除或修改 FastGPT 控制台内的 LOGO 或版权信息。
|
||||
|
||||
请通过电子邮件 yujinlong@sealos.io 联系我们咨询许可事宜。
|
||||
|
||||
@@ -114,7 +114,7 @@ ${content}
|
||||
它接收一个`string`类型的输入,除了可以引用文档解析结果外,还可以实现自定义内容引用,最终会进行提示词拼接,放置在 role=system 的消息中。提示词模板如下:
|
||||
|
||||
```
|
||||
将 <Quote></Quote> 中的内容作为你的知识:
|
||||
将 <Quote></Quote> 中的内容作为本次对话的参考:
|
||||
<Quote>
|
||||
{{quote}}
|
||||
</Quote>
|
||||
|
||||
@@ -36,7 +36,7 @@ weight: 113
|
||||
|
||||
私有部署的用户可自行查阅自己的 IP 地址。
|
||||
|
||||
海外版用户(fastgpt.in)可以填写下面的 IP 白名单:
|
||||
海外版用户(cloud.tryfastgpt.ai)可以填写下面的 IP 白名单:
|
||||
|
||||
```
|
||||
34.87.20.17
|
||||
|
||||
@@ -27,7 +27,7 @@ Tips: 安全起见,你可以设置一个额度或者过期时间,放置 key
|
||||
## 替换三方应用的变量
|
||||
|
||||
```bash
|
||||
OPENAI_API_BASE_URL: https://api.fastgpt.in/api (改成自己部署的域名)
|
||||
OPENAI_API_BASE_URL: https://api.tryfastgpt.ai/api (改成自己部署的域名)
|
||||
OPENAI_API_KEY = 上一步获取到的密钥
|
||||
```
|
||||
|
||||
|
||||
@@ -18,7 +18,7 @@ Web 站点同步利用爬虫的技术,可以通过一个入口网站,自动
|
||||
Tips: 国内的媒体站点基本不可用,公众号、csdn、知乎等。可以通过终端发送`curl`请求检测是否为静态站点,例如:
|
||||
|
||||
```bash
|
||||
curl https://doc.fastgpt.in/docs/intro/
|
||||
curl https://doc.tryfastgpt.ai/docs/intro/
|
||||
```
|
||||
|
||||
## 如何使用
|
||||
|
||||
@@ -13,9 +13,7 @@ weight: 708
|
||||
|
||||
这个配置文件中包含了系统参数和各个模型配置:
|
||||
|
||||
## 4.6.8+ 版本新配置文件
|
||||
|
||||
llm模型全部合并
|
||||
## 4.6.8+ 版本新配置文件示例
|
||||
|
||||
```json
|
||||
{
|
||||
@@ -29,16 +27,16 @@ llm模型全部合并
|
||||
},
|
||||
"llmModels": [
|
||||
{
|
||||
"model": "gpt-3.5-turbo", // 模型名(对应OneAPI中渠道的模型名)
|
||||
"name": "gpt-3.5-turbo", // 别名
|
||||
"model": "gpt-4o-mini", // 模型名(对应OneAPI中渠道的模型名)
|
||||
"name": "gpt-4o-mini", // 模型别名
|
||||
"avatar": "/imgs/model/openai.svg", // 模型的logo
|
||||
"maxContext": 16000, // 最大上下文
|
||||
"maxResponse": 4000, // 最大回复
|
||||
"quoteMaxToken": 13000, // 最大引用内容
|
||||
"maxContext": 125000, // 最大上下文
|
||||
"maxResponse": 16000, // 最大回复
|
||||
"quoteMaxToken": 120000, // 最大引用内容
|
||||
"maxTemperature": 1.2, // 最大温度
|
||||
"charsPointsPrice": 0, // n积分/1k token(商业版)
|
||||
"charsPointsPrice": 0, // n积分/1k token(商业版)
|
||||
"censor": false, // 是否开启敏感校验(商业版)
|
||||
"vision": false, // 是否支持图片输入
|
||||
"vision": true, // 是否支持图片输入
|
||||
"datasetProcess": true, // 是否设置为知识库处理模型(QA),务必保证至少有一个为true,否则知识库会报错
|
||||
"usedInClassify": true, // 是否用于问题分类(务必保证至少有一个为true)
|
||||
"usedInExtractFields": true, // 是否用于内容提取(务必保证至少有一个为true)
|
||||
@@ -49,20 +47,20 @@ llm模型全部合并
|
||||
"customCQPrompt": "", // 自定义文本分类提示词(不支持工具和函数调用的模型
|
||||
"customExtractPrompt": "", // 自定义内容提取提示词
|
||||
"defaultSystemChatPrompt": "", // 对话默认携带的系统提示词
|
||||
"defaultConfig":{} // 请求API时,挟带一些默认配置(比如 GLM4 的 top_p)
|
||||
"defaultConfig": {} // 请求API时,挟带一些默认配置(比如 GLM4 的 top_p)
|
||||
},
|
||||
{
|
||||
"model": "gpt-4-0125-preview",
|
||||
"name": "gpt-4-turbo",
|
||||
"model": "gpt-4o",
|
||||
"name": "gpt-4o",
|
||||
"avatar": "/imgs/model/openai.svg",
|
||||
"maxContext": 125000,
|
||||
"maxResponse": 4000,
|
||||
"quoteMaxToken": 100000,
|
||||
"quoteMaxToken": 120000,
|
||||
"maxTemperature": 1.2,
|
||||
"charsPointsPrice": 0,
|
||||
"censor": false,
|
||||
"vision": false,
|
||||
"datasetProcess": false,
|
||||
"vision": true,
|
||||
"datasetProcess": true,
|
||||
"usedInClassify": true,
|
||||
"usedInExtractFields": true,
|
||||
"usedInToolCall": true,
|
||||
@@ -72,30 +70,61 @@ llm模型全部合并
|
||||
"customCQPrompt": "",
|
||||
"customExtractPrompt": "",
|
||||
"defaultSystemChatPrompt": "",
|
||||
"defaultConfig":{}
|
||||
"defaultConfig": {}
|
||||
},
|
||||
{
|
||||
"model": "gpt-4-vision-preview",
|
||||
"name": "gpt-4-vision",
|
||||
"model": "o1-mini",
|
||||
"name": "o1-mini",
|
||||
"avatar": "/imgs/model/openai.svg",
|
||||
"maxContext": 128000,
|
||||
"maxContext": 125000,
|
||||
"maxResponse": 4000,
|
||||
"quoteMaxToken": 100000,
|
||||
"quoteMaxToken": 120000,
|
||||
"maxTemperature": 1.2,
|
||||
"charsPointsPrice": 0,
|
||||
"censor": false,
|
||||
"vision": true,
|
||||
"datasetProcess": false,
|
||||
"usedInClassify": false,
|
||||
"usedInExtractFields": false,
|
||||
"usedInToolCall": false,
|
||||
"usedInQueryExtension": false,
|
||||
"toolChoice": true,
|
||||
"vision": false,
|
||||
"datasetProcess": true,
|
||||
"usedInClassify": true,
|
||||
"usedInExtractFields": true,
|
||||
"usedInToolCall": true,
|
||||
"usedInQueryExtension": true,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"customCQPrompt": "",
|
||||
"customExtractPrompt": "",
|
||||
"defaultSystemChatPrompt": "",
|
||||
"defaultConfig":{}
|
||||
"defaultConfig": {
|
||||
"temperature": 1,
|
||||
"max_tokens": null,
|
||||
"stream": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"model": "o1-preview",
|
||||
"name": "o1-preview",
|
||||
"avatar": "/imgs/model/openai.svg",
|
||||
"maxContext": 125000,
|
||||
"maxResponse": 4000,
|
||||
"quoteMaxToken": 120000,
|
||||
"maxTemperature": 1.2,
|
||||
"charsPointsPrice": 0,
|
||||
"censor": false,
|
||||
"vision": false,
|
||||
"datasetProcess": true,
|
||||
"usedInClassify": true,
|
||||
"usedInExtractFields": true,
|
||||
"usedInToolCall": true,
|
||||
"usedInQueryExtension": true,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"customCQPrompt": "",
|
||||
"customExtractPrompt": "",
|
||||
"defaultSystemChatPrompt": "",
|
||||
"defaultConfig": {
|
||||
"temperature": 1,
|
||||
"max_tokens": null,
|
||||
"stream": false
|
||||
}
|
||||
}
|
||||
],
|
||||
"vectorModels": [
|
||||
@@ -107,9 +136,30 @@ llm模型全部合并
|
||||
"defaultToken": 700, // 默认文本分割时候的 token
|
||||
"maxToken": 3000, // 最大 token
|
||||
"weight": 100, // 优先训练权重
|
||||
"defaultConfig":{}, // 自定义额外参数。例如,如果希望使用 embedding3-large 的话,可以传入 dimensions:1024,来返回1024维度的向量。(目前必须小于1536维度)
|
||||
"defaultConfig": {}, // 自定义额外参数。例如,如果希望使用 embedding3-large 的话,可以传入 dimensions:1024,来返回1024维度的向量。(目前必须小于1536维度)
|
||||
"dbConfig": {}, // 存储时的额外参数(非对称向量模型时候需要用到)
|
||||
"queryConfig": {} // 参训时的额外参数
|
||||
},
|
||||
{
|
||||
"model": "text-embedding-3-large",
|
||||
"name": "text-embedding-3-large",
|
||||
"avatar": "/imgs/model/openai.svg",
|
||||
"charsPointsPrice": 0,
|
||||
"defaultToken": 512,
|
||||
"maxToken": 3000,
|
||||
"weight": 100,
|
||||
"defaultConfig": {
|
||||
"dimensions": 1024
|
||||
}
|
||||
},
|
||||
{
|
||||
"model": "text-embedding-3-small",
|
||||
"name": "text-embedding-3-small",
|
||||
"avatar": "/imgs/model/openai.svg",
|
||||
"charsPointsPrice": 0,
|
||||
"defaultToken": 512,
|
||||
"maxToken": 3000,
|
||||
"weight": 100
|
||||
}
|
||||
],
|
||||
"reRankModels": [],
|
||||
|
||||
@@ -110,7 +110,7 @@ brew install orbstack
|
||||
|
||||
非 Linux 环境或无法访问外网环境,可手动创建一个目录,并下载配置文件和对应版本的`docker-compose.yml`,在这个文件夹中依据下载的配置文件运行docker,若作为本地开发使用推荐`docker-compose-pgvector`版本,并且自行拉取并运行`sandbox`和`fastgpt`,并在docker配置文件中注释掉`sandbox`和`fastgpt`的部分
|
||||
|
||||
- [config.json](https://github.com/labring/FastGPT/blob/main/projects/app/data/config.json)
|
||||
- [config.json](https://raw.githubusercontent.com/labring/FastGPT/refs/heads/main/projects/app/data/config.json)
|
||||
- [docker-compose.yml](https://github.com/labring/FastGPT/blob/main/files/docker) (注意,不同向量库版本的文件不一样)
|
||||
|
||||
{{% alert icon="🤖" context="success" %}}
|
||||
|
||||
@@ -121,4 +121,148 @@ OneAPI 的 API Key 配置错误,需要修改`OPENAI_API_KEY`环境变量,并
|
||||
|
||||
1. 模型服务不可用
|
||||
2. 模型接口参数异常(温度、max token等可能不适配)
|
||||
3. ....
|
||||
3. ....
|
||||
|
||||
|
||||
## 四、常见模型问题
|
||||
|
||||
### 报错 - 模型响应为空
|
||||
|
||||
该错误是由于 stream 模式下,oneapi 直接结束了流请求,并且未返回任何内容导致。
|
||||
|
||||
4.8.10 版本新增了错误日志,报错时,会在日志中打印出实际发送的 Body 参数,可以复制该参数后,通过 curl 向 oneapi 发起请求测试。
|
||||
|
||||
由于 oneapi 在 stream 模式下,无法正确捕获错误,可以设置成 `stream=false` 后进行测试。
|
||||
|
||||
### 如何测试模型是否支持工具调用
|
||||
|
||||
需要模型提供商和 oneapi 同时支持工具调用才可使用,测试方法如下:
|
||||
|
||||
1. 通过 `curl` 向 `oneapi` 发起第一轮 stream 模式的 tool 测试。
|
||||
|
||||
```bash
|
||||
curl --location --request POST 'https://oneapi.xxx/v1/chat/completions' \
|
||||
--header 'Authorization: Bearer sk-xxxx' \
|
||||
--header 'Content-Type: application/json' \
|
||||
--data-raw '{
|
||||
"model": "gpt-4o-mini",
|
||||
"temperature": 0.01,
|
||||
"max_tokens": 8000,
|
||||
"stream": true,
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "几点了"
|
||||
}
|
||||
],
|
||||
"tools": [
|
||||
{
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": "hCVbIY",
|
||||
"description": "获取用户当前时区的时间。",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {},
|
||||
"required": []
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"tool_choice": "auto"
|
||||
}'
|
||||
```
|
||||
|
||||
2. 检查响应参数
|
||||
|
||||
如果能正常调用工具,会返回对应 `tool_calls` 参数。
|
||||
|
||||
```json
|
||||
{
|
||||
"id": "chatcmpl-A7kwo1rZ3OHYSeIFgfWYxu8X2koN3",
|
||||
"object": "chat.completion.chunk",
|
||||
"created": 1726412126,
|
||||
"model": "gpt-4o-mini-2024-07-18",
|
||||
"system_fingerprint": "fp_483d39d857",
|
||||
"choices": [
|
||||
{
|
||||
"index": 0,
|
||||
"delta": {
|
||||
"role": "assistant",
|
||||
"content": null,
|
||||
"tool_calls": [
|
||||
{
|
||||
"index": 0,
|
||||
"id": "call_0n24eiFk8OUyIyrdEbLdirU7",
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": "mEYIcFl84rYC",
|
||||
"arguments": ""
|
||||
}
|
||||
}
|
||||
],
|
||||
"refusal": null
|
||||
},
|
||||
"logprobs": null,
|
||||
"finish_reason": null
|
||||
}
|
||||
],
|
||||
"usage": null
|
||||
}
|
||||
```
|
||||
|
||||
3. 通过 `curl` 向 `oneapi` 发起第二轮 stream 模式的 tool 测试。
|
||||
|
||||
第二轮请求是把工具结果发送给模型。发起后会得到模型回答的结果。
|
||||
|
||||
```bash
|
||||
curl --location --request POST 'https://oneapi.xxxx/v1/chat/completions' \
|
||||
--header 'Authorization: Bearer sk-xxx' \
|
||||
--header 'Content-Type: application/json' \
|
||||
--data-raw '{
|
||||
"model": "gpt-4o-mini",
|
||||
"temperature": 0.01,
|
||||
"max_tokens": 8000,
|
||||
"stream": true,
|
||||
"messages": [
|
||||
{
|
||||
"role": "user",
|
||||
"content": "几点了"
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"tool_calls": [
|
||||
{
|
||||
"id": "kDia9S19c4RO",
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": "hCVbIY",
|
||||
"arguments": "{}"
|
||||
}
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"tool_call_id": "kDia9S19c4RO",
|
||||
"role": "tool",
|
||||
"name": "hCVbIY",
|
||||
"content": "{\n \"time\": \"2024-09-14 22:59:21 Sunday\"\n}"
|
||||
}
|
||||
],
|
||||
"tools": [
|
||||
{
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": "hCVbIY",
|
||||
"description": "获取用户当前时区的时间。",
|
||||
"parameters": {
|
||||
"type": "object",
|
||||
"properties": {},
|
||||
"required": []
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"tool_choice": "auto"
|
||||
}'
|
||||
```
|
||||
@@ -7,11 +7,11 @@ toc: true
|
||||
weight: 705
|
||||
---
|
||||
|
||||
本文档介绍了如何设置开发环境以构建和测试 [FastGPT](https://fastgpt.in),。
|
||||
本文档介绍了如何设置开发环境以构建和测试 [FastGPT](https://tryfastgpt.ai),。
|
||||
|
||||
## 前置依赖项
|
||||
|
||||
您需要在计算机上安装和配置以下依赖项才能构建 [FastGPT](https://fastgpt.in):
|
||||
您需要在计算机上安装和配置以下依赖项才能构建 [FastGPT](https://tryfastgpt.ai):
|
||||
|
||||
- [Git](http://git-scm.com/)
|
||||
- [Docker](https://www.docker.com/)(构建镜像)
|
||||
|
||||
@@ -135,7 +135,7 @@ CHAT_API_KEY=sk-xxxxxx
|
||||
"charsPointsPrice": 0,
|
||||
"censor": false,
|
||||
"vision": false, // 是否支持图片输入
|
||||
"datasetProcess": false, // 是否设置为知识库处理模型
|
||||
"datasetProcess": true, // 是否设置为知识库处理模型
|
||||
"usedInClassify": true, // 是否用于问题分类
|
||||
"usedInExtractFields": true, // 是否用于字段提取
|
||||
"usedInToolCall": true, // 是否用于工具调用
|
||||
|
||||
@@ -32,7 +32,7 @@ FastGPT 的 API Key **有 2 类**,一类是全局通用的 key (无法直接
|
||||
OpenAPI 中,所有的接口都通过 Header.Authorization 进行鉴权。
|
||||
|
||||
```
|
||||
baseUrl: "https://api.fastgpt.in/api"
|
||||
baseUrl: "https://api.tryfastgpt.ai/api"
|
||||
headers: {
|
||||
Authorization: "Bearer {{apikey}}"
|
||||
}
|
||||
@@ -41,7 +41,7 @@ headers: {
|
||||
**发起应用对话示例**
|
||||
|
||||
```sh
|
||||
curl --location --request POST 'https://api.fastgpt.in/api/v1/chat/completions' \
|
||||
curl --location --request POST 'https://api.tryfastgpt.ai/api/v1/chat/completions' \
|
||||
--header 'Authorization: Bearer fastgpt-xxxxxx' \
|
||||
--header 'Content-Type: application/json' \
|
||||
--data-raw '{
|
||||
|
||||
@@ -29,7 +29,7 @@ weight: 852
|
||||
{{< markdownify >}}
|
||||
|
||||
```bash
|
||||
curl --location --request POST 'https://api.fastgpt.in/api/v1/chat/completions' \
|
||||
curl --location --request POST 'https://api.tryfastgpt.ai/api/v1/chat/completions' \
|
||||
--header 'Authorization: Bearer fastgpt-xxxxxx' \
|
||||
--header 'Content-Type: application/json' \
|
||||
--data-raw '{
|
||||
@@ -332,7 +332,7 @@ curl --location --request POST 'http://localhost:3000/api/v1/chat/completions' \
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"moduleName": "自定义插件输出",
|
||||
"moduleName": "插件输出",
|
||||
"moduleType": "pluginOutput",
|
||||
"totalPoints": 0,
|
||||
"pluginOutput": {
|
||||
@@ -430,7 +430,7 @@ event: answer
|
||||
data: [DONE]
|
||||
|
||||
event: flowResponses
|
||||
data: [{"nodeId":"fdDgXQ6SYn8v","moduleName":"AI 对话","moduleType":"chatNode","totalPoints":0.033,"model":"FastAI-3.5","tokens":33,"query":"你好","maxToken":2000,"historyPreview":[{"obj":"Human","value":"你好"},{"obj":"AI","value":"你好!有什么可以帮助你的吗?"}],"contextTotalLen":2,"runningTime":1.42},{"nodeId":"pluginOutput","moduleName":"自定义插件输出","moduleType":"pluginOutput","totalPoints":0,"pluginOutput":{"result":"你好!有什么可以帮助你的吗?"},"runningTime":0}]
|
||||
data: [{"nodeId":"fdDgXQ6SYn8v","moduleName":"AI 对话","moduleType":"chatNode","totalPoints":0.033,"model":"FastAI-3.5","tokens":33,"query":"你好","maxToken":2000,"historyPreview":[{"obj":"Human","value":"你好"},{"obj":"AI","value":"你好!有什么可以帮助你的吗?"}],"contextTotalLen":2,"runningTime":1.42},{"nodeId":"pluginOutput","moduleName":"插件输出","moduleType":"pluginOutput","totalPoints":0,"pluginOutput":{"result":"你好!有什么可以帮助你的吗?"},"runningTime":0}]
|
||||
```
|
||||
|
||||
{{< /markdownify >}}
|
||||
|
||||
@@ -22,7 +22,7 @@ weight: 853
|
||||
**新例子**
|
||||
|
||||
```bash
|
||||
curl --location --request POST 'https://api.fastgpt.in/api/support/wallet/usage/createTrainingUsage' \
|
||||
curl --location --request POST 'https://api.tryfastgpt.ai/api/support/wallet/usage/createTrainingUsage' \
|
||||
--header 'Authorization: Bearer {{apikey}}' \
|
||||
--header 'Content-Type: application/json' \
|
||||
--data-raw '{
|
||||
@@ -34,7 +34,7 @@ curl --location --request POST 'https://api.fastgpt.in/api/support/wallet/usage/
|
||||
**x例子**
|
||||
|
||||
```bash
|
||||
curl --location --request POST 'https://api.fastgpt.in/api/support/wallet/bill/createTrainingBill' \
|
||||
curl --location --request POST 'https://api.tryfastgpt.ai/api/support/wallet/bill/createTrainingBill' \
|
||||
--header 'Authorization: Bearer {{apikey}}' \
|
||||
--header 'Content-Type: application/json' \
|
||||
--data-raw '{
|
||||
@@ -312,6 +312,8 @@ curl --location --request DELETE 'http://localhost:3000/api/core/dataset/delete?
|
||||
| chunkSize | 预估块大小 | |
|
||||
| chunkSplitter | 自定义最高优先分割符号 | |
|
||||
| qaPrompt | qa拆分提示词 | |
|
||||
| tags | 集合标签(字符串数组) | |
|
||||
| createTime | 文件创建时间(Date / String) | |
|
||||
|
||||
**出参**
|
||||
|
||||
@@ -466,7 +468,7 @@ curl --location --request POST 'http://localhost:3000/api/core/dataset/collectio
|
||||
--header 'Authorization: Bearer {{authorization}}' \
|
||||
--header 'Content-Type: application/json' \
|
||||
--data-raw '{
|
||||
"link":"https://doc.fastgpt.in/docs/course/quick-start/",
|
||||
"link":"https://doc.tryfastgpt.ai/docs/course/quick-start/",
|
||||
"datasetId":"6593e137231a2be9c5603ba7",
|
||||
"parentId": null,
|
||||
|
||||
@@ -604,9 +606,11 @@ curl --location --request POST 'http://localhost:3000/api/proApi/core/dataset/co
|
||||
--data-raw '{
|
||||
"externalFileUrl":"https://image.xxxxx.com/fastgpt-dev/%E6%91%82.pdf",
|
||||
"externalFileId":"1111",
|
||||
"filename":"自定义文件名",
|
||||
"createTime": "2024-05-01T00:00:00.000Z",
|
||||
"filename":"自定义文件名.pdf",
|
||||
"datasetId":"6642d105a5e9d2b00255b27b",
|
||||
"parentId": null,
|
||||
"tags": ["tag1","tag2"],
|
||||
|
||||
"trainingType": "chunk",
|
||||
"chunkSize":512,
|
||||
@@ -625,7 +629,8 @@ curl --location --request POST 'http://localhost:3000/api/proApi/core/dataset/co
|
||||
| --- | --- | --- |
|
||||
| externalFileUrl | 文件访问链接(可以是临时链接) | ✅ |
|
||||
| externalFileId | 外部文件ID | |
|
||||
| filename | 自定义文件名 | |
|
||||
| filename | 自定义文件名,需要带后缀 | |
|
||||
| createTime | 文件创建时间(Date ISO 字符串都 ok) | |
|
||||
|
||||
|
||||
{{< /markdownify >}}
|
||||
@@ -710,7 +715,21 @@ curl --location --request POST 'http://localhost:3000/api/core/dataset/collectio
|
||||
"updateTime": "2099-01-01T00:00:00.000Z",
|
||||
"dataAmount": 3,
|
||||
"trainingAmount": 0,
|
||||
"canWrite": true
|
||||
"externalFileId": "1111",
|
||||
"tags": [
|
||||
"11",
|
||||
"测试的"
|
||||
],
|
||||
"forbid": false,
|
||||
"trainingType": "chunk",
|
||||
"permission": {
|
||||
"value": 4294967295,
|
||||
"isOwner": true,
|
||||
"hasManagePer": true,
|
||||
"hasWritePer": true,
|
||||
"hasReadPer": true
|
||||
}
|
||||
|
||||
},
|
||||
{
|
||||
"_id": "65abd0ad9d1448617cba6031",
|
||||
@@ -718,11 +737,23 @@ curl --location --request POST 'http://localhost:3000/api/core/dataset/collectio
|
||||
"tmbId": "65422be6aa44b7da77729ec9",
|
||||
"type": "link",
|
||||
"name": "快速上手 | FastGPT",
|
||||
"rawLink": "https://doc.fastgpt.in/docs/course/quick-start/",
|
||||
"rawLink": "https://doc.tryfastgpt.ai/docs/course/quick-start/",
|
||||
"updateTime": "2024-01-20T13:54:53.031Z",
|
||||
"dataAmount": 3,
|
||||
"trainingAmount": 0,
|
||||
"canWrite": true
|
||||
"externalFileId": "222",
|
||||
"tags": [
|
||||
"测试的"
|
||||
],
|
||||
"forbid": false,
|
||||
"trainingType": "chunk",
|
||||
"permission": {
|
||||
"value": 4294967295,
|
||||
"isOwner": true,
|
||||
"hasManagePer": true,
|
||||
"hasWritePer": true,
|
||||
"hasReadPer": true
|
||||
}
|
||||
}
|
||||
],
|
||||
"total": 93
|
||||
@@ -813,14 +844,36 @@ curl --location --request GET 'http://localhost:3000/api/core/dataset/collection
|
||||
{{< tab tabName="请求示例" >}}
|
||||
{{< markdownify >}}
|
||||
|
||||
**通过集合 ID 修改集合信息**
|
||||
|
||||
```bash
|
||||
curl --location --request PUT 'http://localhost:3000/api/core/dataset/collection/update' \
|
||||
--header 'Authorization: Bearer {{authorization}}' \
|
||||
--header 'Content-Type: application/json' \
|
||||
--data-raw '{
|
||||
"id":"65abcfab9d1448617cba5f0d",
|
||||
"parentId":null,
|
||||
"name":"测2222试"
|
||||
"parentId": null,
|
||||
"name": "测2222试",
|
||||
"tags": ["tag1", "tag2"],
|
||||
"forbid": false,
|
||||
"createTime": "2024-01-01T00:00:00.000Z"
|
||||
}'
|
||||
```
|
||||
|
||||
**通过外部文件 ID 修改集合信息**, 只需要把 id 换成 datasetId 和 externalFileId。
|
||||
|
||||
```bash
|
||||
curl --location --request PUT 'http://localhost:3000/api/core/dataset/collection/update' \
|
||||
--header 'Authorization: Bearer {{authorization}}' \
|
||||
--header 'Content-Type: application/json' \
|
||||
--data-raw '{
|
||||
"datasetId":"6593e137231a2be9c5603ba7",
|
||||
"externalFileId":"1111",
|
||||
"parentId": null,
|
||||
"name": "测2222试",
|
||||
"tags": ["tag1", "tag2"],
|
||||
"forbid": false,
|
||||
"createTime": "2024-01-01T00:00:00.000Z"
|
||||
}'
|
||||
```
|
||||
|
||||
@@ -834,6 +887,9 @@ curl --location --request PUT 'http://localhost:3000/api/core/dataset/collection
|
||||
- id: 集合的ID
|
||||
- parentId: 修改父级ID(可选)
|
||||
- name: 修改集合名称(可选)
|
||||
- tags: 修改集合标签(可选)
|
||||
- forbid: 修改集合禁用状态(可选)
|
||||
- createTime: 修改集合创建时间(可选)
|
||||
{{% /alert %}}
|
||||
|
||||
{{< /markdownify >}}
|
||||
@@ -935,7 +991,7 @@ curl --location --request DELETE 'http://localhost:3000/api/core/dataset/collect
|
||||
{{< markdownify >}}
|
||||
|
||||
```bash
|
||||
curl --location --request POST 'https://api.fastgpt.in/api/core/dataset/data/pushData' \
|
||||
curl --location --request POST 'https://api.tryfastgpt.ai/api/core/dataset/data/pushData' \
|
||||
--header 'Authorization: Bearer apikey' \
|
||||
--header 'Content-Type: application/json' \
|
||||
--data-raw '{
|
||||
@@ -1272,7 +1328,7 @@ curl --location --request DELETE 'http://localhost:3000/api/core/dataset/data/de
|
||||
{{< markdownify >}}
|
||||
|
||||
```bash
|
||||
curl --location --request POST 'https://api.fastgpt.in/api/core/dataset/searchTest' \
|
||||
curl --location --request POST 'https://api.tryfastgpt.ai/api/core/dataset/searchTest' \
|
||||
--header 'Authorization: Bearer fastgpt-xxxxx' \
|
||||
--header 'Content-Type: application/json' \
|
||||
--data-raw '{
|
||||
|
||||
@@ -53,9 +53,9 @@ weight: 860
|
||||
|
||||
在分享链接的地址中,增加一个额外的参数: authToken。例如:
|
||||
|
||||
原始的链接:`https://share.fastgpt.in/chat/share?shareId=648aaf5ae121349a16d62192`
|
||||
原始的链接:`https://share.tryfastgpt.ai/chat/share?shareId=648aaf5ae121349a16d62192`
|
||||
|
||||
完整链接: `https://share.fastgpt.in/chat/share?shareId=648aaf5ae121349a16d62192&authToken=userid12345`
|
||||
完整链接: `https://share.tryfastgpt.ai/chat/share?shareId=648aaf5ae121349a16d62192&authToken=userid12345`
|
||||
|
||||
这个`authToken`通常是你系统生成的用户唯一凭证(Token之类的)。FastGPT 会在鉴权接口的`body`中携带 token={{authToken}} 的参数。
|
||||
|
||||
@@ -227,7 +227,7 @@ curl --location --request POST '{{host}}/shareAuth/finish' \
|
||||
"historyPreview": [
|
||||
{
|
||||
"obj": "Human",
|
||||
"value": "使用 <Data></Data> 标记中的内容作为你的知识:\n\n<Data>\n导演是谁?\n电影《铃芽之旅》的导演是新海诚。\n------\n电影《铃芽之旅》的编剧是谁?22\n新海诚是本片的编剧。\n------\n电影《铃芽之旅》的女主角是谁?\n电影的女主角是铃芽。\n------\n电影《铃芽之旅》的制作团队中有哪位著名人士?2\n川村元气是本片的制作团队成员之一。\n------\n你是谁?\n我是电影《铃芽之旅》助手\n------\n电影《铃芽之旅》男主角是谁?\n电影《铃芽之旅》男主角是宗像草太,由松村北斗配音。\n------\n电影《铃芽之旅》的作者新海诚写了一本小说,叫什么名字?\n小说名字叫《铃芽之旅》。\n------\n电影《铃芽之旅》的女主角是谁?\n电影《铃芽之旅》的女主角是岩户铃芽,由原菜乃华配音。\n------\n电影《铃芽之旅》的故事背景是什么?\n日本\n------\n谁担任电影《铃芽之旅》中岩户环的配音?\n深津绘里担任电影《铃芽之旅》中岩户环的配音。\n</Data>\n\n回答要求:\n- 如果你不清楚答案,你需要澄清。\n- 避免提及你是从 <Data></Data> 获取的知识。\n- 保持答案与 <Data></Data> 中描述的一致。\n- 使用 Markdown 语法优化回答格式。\n- 使用与问题相同的语言回答。\n\n问题:\"\"\"导演是谁\"\"\""
|
||||
"value": "使用 <Data></Data> 标记中的内容作为本次对话的参考:\n\n<Data>\n导演是谁?\n电影《铃芽之旅》的导演是新海诚。\n------\n电影《铃芽之旅》的编剧是谁?22\n新海诚是本片的编剧。\n------\n电影《铃芽之旅》的女主角是谁?\n电影的女主角是铃芽。\n------\n电影《铃芽之旅》的制作团队中有哪位著名人士?2\n川村元气是本片的制作团队成员之一。\n------\n你是谁?\n我是电影《铃芽之旅》助手\n------\n电影《铃芽之旅》男主角是谁?\n电影《铃芽之旅》男主角是宗像草太,由松村北斗配音。\n------\n电影《铃芽之旅》的作者新海诚写了一本小说,叫什么名字?\n小说名字叫《铃芽之旅》。\n------\n电影《铃芽之旅》的女主角是谁?\n电影《铃芽之旅》的女主角是岩户铃芽,由原菜乃华配音。\n------\n电影《铃芽之旅》的故事背景是什么?\n日本\n------\n谁担任电影《铃芽之旅》中岩户环的配音?\n深津绘里担任电影《铃芽之旅》中岩户环的配音。\n</Data>\n\n回答要求:\n- 如果你不清楚答案,你需要澄清。\n- 避免提及你是从 <Data></Data> 获取的知识。\n- 保持答案与 <Data></Data> 中描述的一致。\n- 使用 Markdown 语法优化回答格式。\n- 使用与问题相同的语言回答。\n\n问题:\"\"\"导演是谁\"\"\""
|
||||
},
|
||||
{
|
||||
"obj": "AI",
|
||||
@@ -387,9 +387,9 @@ export default async function (ctx: FunctionContext) {
|
||||
|
||||
### 3. 修改分享链接参数
|
||||
|
||||
源分享链接:`https://share.fastgpt.in/chat/share?shareId=64be36376a438af0311e599c`
|
||||
源分享链接:`https://share.tryfastgpt.ai/chat/share?shareId=64be36376a438af0311e599c`
|
||||
|
||||
修改后:`https://share.fastgpt.in/chat/share?shareId=64be36376a438af0311e599c&authToken=fastgpt`
|
||||
修改后:`https://share.tryfastgpt.ai/chat/share?shareId=64be36376a438af0311e599c&authToken=fastgpt`
|
||||
|
||||
### 4. 测试效果
|
||||
|
||||
|
||||
@@ -89,7 +89,7 @@ FastGPT 商业版共包含了2个应用(fastgpt, fastgpt-plus)和2个数据
|
||||
点击右侧的详情,可以查看对应应用的详细信息。
|
||||
|
||||
### 如何更新/升级 FastGPT
|
||||
[升级脚本文档](https://doc.fastgpt.in/docs/development/upgrading/)先看下文档,看下需要升级哪个版本。注意,不要跨版本升级!!!!!
|
||||
[升级脚本文档](https://doc.tryfastgpt.ai/docs/development/upgrading/)先看下文档,看下需要升级哪个版本。注意,不要跨版本升级!!!!!
|
||||
|
||||
例如,目前是4.5 版本,要升级到4.5.1,就先把镜像版本改成v4.5.1,执行一下升级脚本,等待完成后再继续升级。如果目标版本不需要执行初始化,则可以跳过。
|
||||
|
||||
@@ -124,7 +124,7 @@ FastGPT 商业版共包含了2个应用(fastgpt, fastgpt-plus)和2个数据
|
||||
|
||||

|
||||
|
||||
[配置文件参考](https://doc.fastgpt.in/docs/development/configuration/)
|
||||
[配置文件参考](https://doc.tryfastgpt.ai/docs/development/configuration/)
|
||||
|
||||
### 修改站点名称以及 favicon
|
||||
修改应用的环境变量,增加
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
---
|
||||
title: 'V4.8.10'
|
||||
title: 'V4.8.10(需要初始化)'
|
||||
description: 'FastGPT V4.8.10 更新说明'
|
||||
icon: 'upgrade'
|
||||
draft: false
|
||||
@@ -24,7 +24,7 @@ STORE_LOG_LEVEL=warn
|
||||
|
||||
### 3. 修改镜像tag
|
||||
|
||||
- 更新 FastGPT 镜像 tag: v4.8.10-fix
|
||||
- 更新 FastGPT 镜像 tag: v4.8.10-fix2
|
||||
- 更新 FastGPT 商业版镜像 tag: v4.8.10-fix
|
||||
- Sandbox 镜像,可以不更新
|
||||
|
||||
|
||||
@@ -11,18 +11,98 @@ weight: 813
|
||||
|
||||
### 1. 做好数据备份
|
||||
|
||||
### 2. 修改配置文件
|
||||
|
||||
如需增加 openai o1 模型,可添加如下配置:
|
||||
|
||||
```json
|
||||
{
|
||||
"model": "o1-mini",
|
||||
"name": "o1-mini",
|
||||
"avatar": "/imgs/model/openai.svg",
|
||||
"maxContext": 125000,
|
||||
"maxResponse": 4000,
|
||||
"quoteMaxToken": 120000,
|
||||
"maxTemperature": 1.2,
|
||||
"charsPointsPrice": 0,
|
||||
"censor": false,
|
||||
"vision": false,
|
||||
"datasetProcess": true,
|
||||
"usedInClassify": true,
|
||||
"usedInExtractFields": true,
|
||||
"usedInToolCall": true,
|
||||
"usedInQueryExtension": true,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"customCQPrompt": "",
|
||||
"customExtractPrompt": "",
|
||||
"defaultSystemChatPrompt": "",
|
||||
"defaultConfig": {
|
||||
"temperature": 1,
|
||||
"stream": false
|
||||
},
|
||||
"fieldMap": {
|
||||
"max_tokens": "max_completion_tokens"
|
||||
}
|
||||
},
|
||||
{
|
||||
"model": "o1-preview",
|
||||
"name": "o1-preview",
|
||||
"avatar": "/imgs/model/openai.svg",
|
||||
"maxContext": 125000,
|
||||
"maxResponse": 4000,
|
||||
"quoteMaxToken": 120000,
|
||||
"maxTemperature": 1.2,
|
||||
"charsPointsPrice": 0,
|
||||
"censor": false,
|
||||
"vision": false,
|
||||
"datasetProcess": true,
|
||||
"usedInClassify": true,
|
||||
"usedInExtractFields": true,
|
||||
"usedInToolCall": true,
|
||||
"usedInQueryExtension": true,
|
||||
"toolChoice": false,
|
||||
"functionCall": false,
|
||||
"customCQPrompt": "",
|
||||
"customExtractPrompt": "",
|
||||
"defaultSystemChatPrompt": "",
|
||||
"defaultConfig": {
|
||||
"temperature": 1,
|
||||
"stream": false
|
||||
},
|
||||
"fieldMap": {
|
||||
"max_tokens": "max_completion_tokens"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
-------
|
||||
|
||||
## V4.8.11 更新预告
|
||||
### 3. 修改镜像 tag 并重启
|
||||
|
||||
1.
|
||||
2. 新增 - 工作流循环执行节点。
|
||||
3. 新增 - 工作流用户表单输入节点。
|
||||
4. 新增 - 插件输出,支持指定某些字段为工具调用结果。
|
||||
5. 新增 - 插件支持配置使用引导、全局变量和文件输入。
|
||||
6. 新增 - 简易模式支持新的版本管理方式。
|
||||
7. 新增 - 聊天记录滚动加载,不再只加载 30 条。
|
||||
8. 优化 - 工作流嵌套层级限制 20 层,避免因编排不合理导致的无限死循环。
|
||||
9. 优化 - 工作流 handler 性能优化。
|
||||
10. 修复 - 知识库选择权限问题。
|
||||
11. 修复 - 空 chatId 发起对话,首轮携带用户选择时会异常。
|
||||
|
||||
|
||||
## V4.8.11 更新说明
|
||||
|
||||
1. 新增 - 表单输入节点,允许用户在工作流中让用户输入一些信息。
|
||||
2. 新增 - 循环运行节点,可传入数组进行批量调用,目前最多支持 50 长度的数组串行执行。
|
||||
3. 新增 - 节点支持折叠。
|
||||
4. 新增 - 聊天记录滚动加载,不再只加载 30 条。
|
||||
5. 新增 - 工作流增加触摸板优先模式,可以通过工作流右下角按键进行切换。
|
||||
6. 新增 - 沙盒增加字符串转 base64 全局方法(全局变量 strToBase64)。
|
||||
7. 新增 - 支持 Openai o1 模型,需增加模型的 `defaultConfig` 配置,覆盖 `temperature`、`max_tokens` 和 `stream`配置,o1 不支持 stream 模式, 详细可重新拉取 `config.json` 配置文件查看。
|
||||
8. 新增 - AI 对话节点知识库引用,支持配置 role=system 和 role=user,已配置的过自定义提示词的节点将会保持 user 模式,其余用户将转成 system 模式。
|
||||
9. 新增 - 插件支持上传系统文件。
|
||||
10. 新增 - 插件输出,支持指定字段作为工具响应。
|
||||
11. 新增 - 支持工作流嵌套子应用时,可以设置`非流模式`,同时简易模式也可以选择工作流作为插件了,简易模式调用子应用时,都将强制使用非流模式。
|
||||
12. 新增 - 调试模式下,子应用调用,支持返回详细运行数据。
|
||||
13. 新增 - 保留所有模式下子应用嵌套调用的日志。
|
||||
14. 优化 - 工作流嵌套层级限制 20 层,避免因编排不合理导致的无限死循环。
|
||||
15. 优化 - 工作流 handler 性能优化。
|
||||
16. 优化 - 工作流快捷键,避免调试测试时也会触发复制和回退。
|
||||
17. 优化 - 流输出,切换浏览器 Tab 后仍可以继续输出。
|
||||
18. 优化 - 完善外部文件知识库相关 API
|
||||
19. 修复 - 知识库选择权限问题。
|
||||
20. 修复 - 空 chatId 发起对话,首轮携带用户选择时会异常。
|
||||
21. 修复 - createDataset 接口,intro 为赋值。
|
||||
22. 修复 - 对话框渲染性能问题。
|
||||
|
||||
@@ -60,6 +60,11 @@ docker-compose up -d
|
||||
|
||||
## QA
|
||||
|
||||
### 为什么需要初始化
|
||||
|
||||
数据表出现大幅度变更,无法通过设置默认值,或复杂度较高时,会通过初始化来更新部分数据表字段。
|
||||
严格按初始化步骤进行操作,不会造成旧数据丢失。但在初始化过程中,如果数据量大,需要初始化的时间较长,这段时间可能会造成服务无法正常使用。
|
||||
|
||||
### {{host}} 是什么
|
||||
|
||||
{{}} 代表变量, {{host}}代表一个名为 host 的变量。指的是你服务器的域名或 IP。
|
||||
@@ -85,4 +90,4 @@ sealos 中可以从上图左侧的环境变量中获取。
|
||||
4. 修改镜像到4.6,执行初始化
|
||||
5. .....
|
||||
|
||||
逐一升级
|
||||
逐一升级
|
||||
|
||||
@@ -10,7 +10,7 @@ weight: -10
|
||||
FastGPT 是一个基于 LLM 大语言模型的知识库问答系统,提供开箱即用的数据处理、模型调用等能力。同时可以通过 Flow 可视化进行工作流编排,从而实现复杂的问答场景!
|
||||
|
||||
{{% alert icon="🤖 " context="success" %}}
|
||||
FastGPT 在线使用:[https://fastgpt.in](https://fastgpt.in)
|
||||
FastGPT 在线使用:[https://tryfastgpt.ai](https://tryfastgpt.ai)
|
||||
{{% /alert %}}
|
||||
|
||||
| | |
|
||||
|
||||
@@ -6,7 +6,7 @@ draft: false
|
||||
toc: true
|
||||
weight: 1200
|
||||
type: redirect
|
||||
target: https://cloud.fastgpt.in/price
|
||||
target: https://cloud.tryfastgpt.ai/price
|
||||
---
|
||||
|
||||
线上版价格请查看:[https://cloud.fastgpt.in/price](https://cloud.fastgpt.in/price)
|
||||
线上版价格请查看:[https://cloud.tryfastgpt.ai/price](https://cloud.tryfastgpt.ai/price)
|
||||
@@ -26,7 +26,7 @@ weight: 504
|
||||
|
||||
## 3. 创建 docker-compose.yml 文件
|
||||
|
||||
只需要修改 `OPEN_AI_API_KEY` 和 `OPEN_AI_API_BASE` 两个环境变量即可。其中 `OPEN_AI_API_KEY` 为第一步获取的密钥,`OPEN_AI_API_BASE` 为 FastGPT 的 OpenAPI 地址,例如:`https://api.fastgpt.in/api/v1`。
|
||||
只需要修改 `OPEN_AI_API_KEY` 和 `OPEN_AI_API_BASE` 两个环境变量即可。其中 `OPEN_AI_API_KEY` 为第一步获取的密钥,`OPEN_AI_API_BASE` 为 FastGPT 的 OpenAPI 地址,例如:`https://api.tryfastgpt.ai/api/v1`。
|
||||
|
||||
随便找一个目录,创建一个 docker-compose.yml 文件,将下面的代码复制进去。
|
||||
|
||||
@@ -40,7 +40,7 @@ services:
|
||||
- seccomp:unconfined
|
||||
environment:
|
||||
OPEN_AI_API_KEY: 'fastgpt-z51pkjqm9nrk03a1rx2funoy'
|
||||
OPEN_AI_API_BASE: 'https://api.fastgpt.in/api/v1'
|
||||
OPEN_AI_API_BASE: 'https://api.tryfastgpt.ai/api/v1'
|
||||
MODEL: 'gpt-3.5-turbo'
|
||||
CHANNEL_TYPE: 'wx'
|
||||
PROXY: ''
|
||||
|
||||
@@ -965,7 +965,7 @@ export default async function (ctx: FunctionContext) {
|
||||
"required": true,
|
||||
"description": "",
|
||||
"canEdit": false,
|
||||
"value": "请使用下面<data> </data>中的数据作为你的知识。请直接输出答案,不要提及你是从<data> </data>中获取的知识。\n\n当前时间:{{cTime}}\n\n<data>\n{{response}}\n</data>\n\n我的问题:\"{{q}}\"",
|
||||
"value": "请使用下面<data> </data>中的数据作为本次对话的参考。请直接输出答案,不要提及你是从<data> </data>中获取的知识。\n\n当前时间:{{cTime}}\n\n<data>\n{{response}}\n</data>\n\n我的问题:\"{{q}}\"",
|
||||
"editField": {
|
||||
"key": true
|
||||
},
|
||||
|
||||
@@ -70,7 +70,7 @@ HTTP 模块会向对应的地址发送一个 `HTTP` 请求,实际操作与 Pos
|
||||
"array": [1, 2, 3],
|
||||
"obj": {
|
||||
"name": "FastGPT",
|
||||
"url": "https://fastgpt.in"
|
||||
"url": "https://tryfastgpt.ai"
|
||||
}
|
||||
}
|
||||
```
|
||||
@@ -109,7 +109,7 @@ HTTP 模块会向对应的地址发送一个 `HTTP` 请求,实际操作与 Pos
|
||||
"array2": [1, 2, 3],
|
||||
"object": {
|
||||
"name": "FastGPT",
|
||||
"url": "https://fastgpt.in"
|
||||
"url": "https://tryfastgpt.ai"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
@@ -113,7 +113,7 @@ defaultContentLanguageInSubdir = false
|
||||
# Link behaviour
|
||||
intLinkTooltip = true # Enable a tooltip for internal links that displays info about the destination? default false
|
||||
# extLinkNewTab = false # Open external links in a new Tab? default true
|
||||
logoLinkURL = "https://fastgpt.in/" # Set a custom URL destination for the top header logo link.
|
||||
logoLinkURL = "https://tryfastgpt.ai/" # Set a custom URL destination for the top header logo link.
|
||||
|
||||
[params.flexsearch] # Parameters for FlexSearch
|
||||
# enabled = true
|
||||
|
||||
@@ -19,7 +19,7 @@ data:
|
||||
"charsPointsPrice": 0,
|
||||
"censor": false,
|
||||
"vision": false,
|
||||
"datasetProcess": false,
|
||||
"datasetProcess": true,
|
||||
"usedInClassify": true,
|
||||
"usedInExtractFields": true,
|
||||
"usedInToolCall": true,
|
||||
@@ -63,7 +63,7 @@ data:
|
||||
"charsPointsPrice": 0,
|
||||
"censor": false,
|
||||
"vision": false,
|
||||
"datasetProcess": false,
|
||||
"datasetProcess": true,
|
||||
"usedInClassify": true,
|
||||
"usedInExtractFields": true,
|
||||
"usedInToolCall": true,
|
||||
@@ -85,7 +85,7 @@ data:
|
||||
"charsPointsPrice": 0,
|
||||
"censor": false,
|
||||
"vision": true,
|
||||
"datasetProcess": false,
|
||||
"datasetProcess": true,
|
||||
"usedInClassify": false,
|
||||
"usedInExtractFields": false,
|
||||
"usedInToolCall": false,
|
||||
|
||||
@@ -91,6 +91,13 @@ ${mdSplitString}
|
||||
};
|
||||
};
|
||||
|
||||
/*
|
||||
1. 自定义分隔符:不需要重叠
|
||||
2. Markdown 标题:不需要重叠;标题嵌套共享。
|
||||
3. 特殊 markdown 语法:不需要重叠
|
||||
4. 段落:尽可能保证它是一个完整的段落。
|
||||
5. 标点分割:重叠
|
||||
*/
|
||||
const commonSplit = (props: SplitProps): SplitResponse => {
|
||||
let { text = '', chunkLen, overlapRatio = 0.2, customReg = [] } = props;
|
||||
|
||||
|
||||
@@ -34,6 +34,7 @@ export type FastGPTFeConfigsType = {
|
||||
show_openai_account?: boolean;
|
||||
show_promotion?: boolean;
|
||||
show_team_chat?: boolean;
|
||||
show_compliance_copywriting?: boolean;
|
||||
concatMd?: string;
|
||||
|
||||
docUrl?: string;
|
||||
|
||||
@@ -7,3 +7,7 @@ export type RequireOnlyOne<T, Keys extends keyof T = keyof T> = Omit<T, Keys> &
|
||||
{
|
||||
[K in Keys]-?: Required<Pick<T, K>> & Partial<Record<Exclude<Keys, K>, undefined>>;
|
||||
}[Keys];
|
||||
|
||||
export type DeepPartial<T> = {
|
||||
[P in keyof T]?: DeepPartial<T[P]>;
|
||||
};
|
||||
|
||||
1
packages/global/core/ai/model.d.ts
vendored
1
packages/global/core/ai/model.d.ts
vendored
@@ -27,6 +27,7 @@ export type LLMModelItemType = {
|
||||
|
||||
defaultSystemChatPrompt?: string;
|
||||
defaultConfig?: Record<string, any>;
|
||||
fieldMap?: Record<string, string>;
|
||||
};
|
||||
|
||||
export type VectorModelItemType = {
|
||||
|
||||
@@ -1,11 +1,16 @@
|
||||
import { PromptTemplateItem } from '../type.d';
|
||||
import { i18nT } from '../../../../web/i18n/utils';
|
||||
|
||||
export const Prompt_QuoteTemplateList: PromptTemplateItem[] = [
|
||||
{
|
||||
title: i18nT('app:template.standard_template'),
|
||||
desc: i18nT('app:template.standard_template_des'),
|
||||
value: `{{q}}
|
||||
{{a}}`
|
||||
value: `{
|
||||
"sourceName": "{{source}}",
|
||||
"updateTime": "{{updateTime}}",
|
||||
"content": "{{q}}\n{{a}}"
|
||||
}
|
||||
`
|
||||
},
|
||||
{
|
||||
title: i18nT('app:template.qa_template'),
|
||||
@@ -20,8 +25,12 @@ export const Prompt_QuoteTemplateList: PromptTemplateItem[] = [
|
||||
{
|
||||
title: i18nT('app:template.standard_strict'),
|
||||
desc: i18nT('app:template.standard_strict_des'),
|
||||
value: `{{q}}
|
||||
{{a}}`
|
||||
value: `{
|
||||
"sourceName": "{{source}}",
|
||||
"updateTime": "{{updateTime}}",
|
||||
"content": "{{q}}\n{{a}}"
|
||||
}
|
||||
`
|
||||
},
|
||||
{
|
||||
title: i18nT('app:template.hard_strict'),
|
||||
@@ -35,20 +44,20 @@ export const Prompt_QuoteTemplateList: PromptTemplateItem[] = [
|
||||
}
|
||||
];
|
||||
|
||||
export const Prompt_QuotePromptList: PromptTemplateItem[] = [
|
||||
export const Prompt_userQuotePromptList: PromptTemplateItem[] = [
|
||||
{
|
||||
title: i18nT('app:template.standard_template'),
|
||||
desc: '',
|
||||
value: `使用 <Data></Data> 标记中的内容作为你的知识:
|
||||
value: `使用 <Reference></Reference> 标记中的内容作为本次对话的参考:
|
||||
|
||||
<Data>
|
||||
<Reference>
|
||||
{{quote}}
|
||||
</Data>
|
||||
</Reference>
|
||||
|
||||
回答要求:
|
||||
- 如果你不清楚答案,你需要澄清。
|
||||
- 避免提及你是从 <Data></Data> 获取的知识。
|
||||
- 保持答案与 <Data></Data> 中描述的一致。
|
||||
- 避免提及你是从 <Reference></Reference> 获取的知识。
|
||||
- 保持答案与 <Reference></Reference> 中描述的一致。
|
||||
- 使用 Markdown 语法优化回答格式。
|
||||
- 使用与问题相同的语言回答。
|
||||
|
||||
@@ -74,20 +83,20 @@ export const Prompt_QuotePromptList: PromptTemplateItem[] = [
|
||||
{
|
||||
title: i18nT('app:template.standard_strict'),
|
||||
desc: '',
|
||||
value: `忘记你已有的知识,仅使用 <Data></Data> 标记中的内容作为你的知识:
|
||||
value: `忘记你已有的知识,仅使用 <Reference></Reference> 标记中的内容作为本次对话的参考:
|
||||
|
||||
<Data>
|
||||
<Reference>
|
||||
{{quote}}
|
||||
</Data>
|
||||
</Reference>
|
||||
|
||||
思考流程:
|
||||
1. 判断问题是否与 <Data></Data> 标记中的内容有关。
|
||||
1. 判断问题是否与 <Reference></Reference> 标记中的内容有关。
|
||||
2. 如果有关,你按下面的要求回答。
|
||||
3. 如果无关,你直接拒绝回答本次问题。
|
||||
|
||||
回答要求:
|
||||
- 避免提及你是从 <Data></Data> 获取的知识。
|
||||
- 保持答案与 <Data></Data> 中描述的一致。
|
||||
- 避免提及你是从 <Reference></Reference> 获取的知识。
|
||||
- 保持答案与 <Reference></Reference> 中描述的一致。
|
||||
- 使用 Markdown 语法优化回答格式。
|
||||
- 使用与问题相同的语言回答。
|
||||
|
||||
@@ -120,9 +129,86 @@ export const Prompt_QuotePromptList: PromptTemplateItem[] = [
|
||||
}
|
||||
];
|
||||
|
||||
// Document quote prompt
|
||||
export const Prompt_DocumentQuote = `将 <Quote></Quote> 中的内容作为你的知识:
|
||||
<Quote>
|
||||
export const Prompt_systemQuotePromptList: PromptTemplateItem[] = [
|
||||
{
|
||||
title: i18nT('app:template.standard_template'),
|
||||
desc: '',
|
||||
value: `使用 <Reference></Reference> 标记中的内容作为本次对话的参考:
|
||||
|
||||
<Reference>
|
||||
{{quote}}
|
||||
</Quote>
|
||||
</Reference>
|
||||
|
||||
回答要求:
|
||||
- 如果你不清楚答案,你需要澄清。
|
||||
- 避免提及你是从 <Reference></Reference> 获取的知识。
|
||||
- 保持答案与 <Reference></Reference> 中描述的一致。
|
||||
- 使用 Markdown 语法优化回答格式。
|
||||
- 使用与问题相同的语言回答。`
|
||||
},
|
||||
{
|
||||
title: i18nT('app:template.qa_template'),
|
||||
desc: '',
|
||||
value: `使用 <QA></QA> 标记中的问答对进行回答。
|
||||
|
||||
<QA>
|
||||
{{quote}}
|
||||
</QA>
|
||||
|
||||
回答要求:
|
||||
- 选择其中一个或多个问答对进行回答。
|
||||
- 回答的内容应尽可能与 <答案></答案> 中的内容一致。
|
||||
- 如果没有相关的问答对,你需要澄清。
|
||||
- 避免提及你是从 QA 获取的知识,只需要回复答案。`
|
||||
},
|
||||
{
|
||||
title: i18nT('app:template.standard_strict'),
|
||||
desc: '',
|
||||
value: `忘记你已有的知识,仅使用 <Reference></Reference> 标记中的内容作为本次对话的参考:
|
||||
|
||||
<Reference>
|
||||
{{quote}}
|
||||
</Reference>
|
||||
|
||||
思考流程:
|
||||
1. 判断问题是否与 <Reference></Reference> 标记中的内容有关。
|
||||
2. 如果有关,你按下面的要求回答。
|
||||
3. 如果无关,你直接拒绝回答本次问题。
|
||||
|
||||
回答要求:
|
||||
- 避免提及你是从 <Reference></Reference> 获取的知识。
|
||||
- 保持答案与 <Reference></Reference> 中描述的一致。
|
||||
- 使用 Markdown 语法优化回答格式。
|
||||
- 使用与问题相同的语言回答。`
|
||||
},
|
||||
{
|
||||
title: i18nT('app:template.hard_strict'),
|
||||
desc: '',
|
||||
value: `忘记你已有的知识,仅使用 <QA></QA> 标记中的问答对进行回答。
|
||||
|
||||
<QA>
|
||||
{{quote}}
|
||||
</QA>
|
||||
|
||||
思考流程:
|
||||
1. 判断问题是否与 <QA></QA> 标记中的内容有关。
|
||||
2. 如果无关,你直接拒绝回答本次问题。
|
||||
3. 判断是否有相近或相同的问题。
|
||||
4. 如果有相同的问题,直接输出对应答案。
|
||||
5. 如果只有相近的问题,请把相近的问题和答案一起输出。
|
||||
|
||||
回答要求:
|
||||
- 如果没有相关的问答对,你需要澄清。
|
||||
- 回答的内容应尽可能与 <QA></QA> 标记中的内容一致。
|
||||
- 避免提及你是从 QA 获取的知识,只需要回复答案。
|
||||
- 使用 Markdown 语法优化回答格式。
|
||||
- 使用与问题相同的语言回答。`
|
||||
}
|
||||
];
|
||||
|
||||
// Document quote prompt
|
||||
export const Prompt_DocumentQuote = `将 <Reference></Reference> 中的内容作为本次对话的参考:
|
||||
<Reference>
|
||||
{{quote}}
|
||||
</Reference>
|
||||
`;
|
||||
|
||||
3
packages/global/core/ai/type.d.ts
vendored
3
packages/global/core/ai/type.d.ts
vendored
@@ -9,8 +9,7 @@ import type {
|
||||
ChatCompletionUserMessageParam as SdkChatCompletionUserMessageParam
|
||||
} from 'openai/resources';
|
||||
import { ChatMessageTypeEnum } from './constants';
|
||||
import { InteractiveNodeResponseItemType } from '../workflow/template/system/userSelect/type';
|
||||
|
||||
import { InteractiveNodeResponseItemType } from '../workflow/template/system/interactive/type';
|
||||
export * from 'openai/resources';
|
||||
|
||||
// Extension of ChatCompletionMessageParam, Add file url type
|
||||
|
||||
@@ -97,7 +97,10 @@ export const appWorkflow2Form = ({
|
||||
node.inputs,
|
||||
NodeInputKeyEnum.datasetSearchExtensionBg
|
||||
);
|
||||
} else if (node.flowNodeType === FlowNodeTypeEnum.pluginModule) {
|
||||
} else if (
|
||||
node.flowNodeType === FlowNodeTypeEnum.pluginModule ||
|
||||
node.flowNodeType === FlowNodeTypeEnum.appModule
|
||||
) {
|
||||
if (!node.pluginId) return;
|
||||
|
||||
defaultAppForm.selectedTools.push({
|
||||
@@ -108,7 +111,7 @@ export const appWorkflow2Form = ({
|
||||
intro: node.intro || '',
|
||||
flowNodeType: node.flowNodeType,
|
||||
showStatus: node.showStatus,
|
||||
version: '481',
|
||||
version: node.version,
|
||||
inputs: node.inputs,
|
||||
outputs: node.outputs,
|
||||
templateType: FlowNodeTemplateTypeEnum.other
|
||||
|
||||
9
packages/global/core/app/version.d.ts
vendored
9
packages/global/core/app/version.d.ts
vendored
@@ -12,3 +12,12 @@ export type AppVersionSchemaType = {
|
||||
versionName: string;
|
||||
tmbId: string;
|
||||
};
|
||||
|
||||
export type VersionListItemType = {
|
||||
_id: string;
|
||||
appId: string;
|
||||
versionName: string;
|
||||
time: Date;
|
||||
isPublish: boolean | undefined;
|
||||
tmbId: string;
|
||||
};
|
||||
|
||||
@@ -344,7 +344,7 @@ export const runtimePrompt2ChatsValue = (
|
||||
return value;
|
||||
};
|
||||
|
||||
export const getSystemPrompt = (prompt?: string): ChatItemType[] => {
|
||||
export const getSystemPrompt_ChatItemType = (prompt?: string): ChatItemType[] => {
|
||||
if (!prompt) return [];
|
||||
return [
|
||||
{
|
||||
|
||||
2
packages/global/core/chat/type.d.ts
vendored
2
packages/global/core/chat/type.d.ts
vendored
@@ -15,7 +15,7 @@ import type { AppSchema as AppType } from '@fastgpt/global/core/app/type.d';
|
||||
import { DatasetSearchModeEnum } from '../dataset/constants';
|
||||
import { DispatchNodeResponseType } from '../workflow/runtime/type.d';
|
||||
import { ChatBoxInputType } from '../../../../projects/app/src/components/core/chat/ChatContainer/ChatBox/type';
|
||||
import { InteractiveNodeResponseItemType } from '../workflow/template/system/userSelect/type';
|
||||
import { InteractiveNodeResponseItemType } from '../workflow/template/system/interactive/type';
|
||||
|
||||
export type ChatSchema = {
|
||||
_id: string;
|
||||
|
||||
1
packages/global/core/dataset/type.d.ts
vendored
1
packages/global/core/dataset/type.d.ts
vendored
@@ -178,6 +178,7 @@ export type DatasetDataItemType = {
|
||||
id: string;
|
||||
teamId: string;
|
||||
datasetId: string;
|
||||
updateTime: Date;
|
||||
collectionId: string;
|
||||
sourceName: string;
|
||||
sourceId?: string;
|
||||
|
||||
@@ -24,6 +24,7 @@ export enum WorkflowIOValueTypeEnum {
|
||||
arrayNumber = 'arrayNumber',
|
||||
arrayBoolean = 'arrayBoolean',
|
||||
arrayObject = 'arrayObject',
|
||||
arrayAny = 'arrayAny',
|
||||
any = 'any',
|
||||
|
||||
chatHistory = 'chatHistory',
|
||||
@@ -69,6 +70,7 @@ export enum NodeInputKeyEnum {
|
||||
anyInput = 'system_anyInput',
|
||||
textareaInput = 'system_textareaInput',
|
||||
addInputParam = 'system_addInputParam',
|
||||
forbidStream = 'system_forbid_stream',
|
||||
|
||||
// history
|
||||
historyMaxAmount = 'maxContext',
|
||||
@@ -78,6 +80,7 @@ export enum NodeInputKeyEnum {
|
||||
aiChatMaxToken = 'maxToken',
|
||||
aiChatSettingModal = 'aiSettings',
|
||||
aiChatIsResponseText = 'isResponseAnswerText',
|
||||
aiChatQuoteRole = 'aiChatQuoteRole',
|
||||
aiChatQuoteTemplate = 'quoteTemplate',
|
||||
aiChatQuotePrompt = 'quotePrompt',
|
||||
aiChatDatasetQuote = 'quoteQA',
|
||||
@@ -135,7 +138,20 @@ export enum NodeInputKeyEnum {
|
||||
fileUrlList = 'fileUrlList',
|
||||
|
||||
// user select
|
||||
userSelectOptions = 'userSelectOptions'
|
||||
userSelectOptions = 'userSelectOptions',
|
||||
|
||||
// loop
|
||||
loopInputArray = 'loopInputArray',
|
||||
childrenNodeIdList = 'childrenNodeIdList',
|
||||
nodeWidth = 'nodeWidth',
|
||||
nodeHeight = 'nodeHeight',
|
||||
// loop start
|
||||
loopStartInput = 'loopStartInput',
|
||||
// loop end
|
||||
loopEndInput = 'loopEndInput',
|
||||
|
||||
// form input
|
||||
userInputForms = 'userInputForms'
|
||||
}
|
||||
|
||||
export enum NodeOutputKeyEnum {
|
||||
@@ -178,7 +194,16 @@ export enum NodeOutputKeyEnum {
|
||||
ifElseResult = 'ifElseResult',
|
||||
|
||||
//user select
|
||||
selectResult = 'selectResult'
|
||||
selectResult = 'selectResult',
|
||||
|
||||
// loop
|
||||
loopArray = 'loopArray',
|
||||
|
||||
// loop start
|
||||
loopStartInput = 'loopStartInput',
|
||||
|
||||
// form input
|
||||
formInputResult = 'formInputResult'
|
||||
}
|
||||
|
||||
export enum VariableInputEnum {
|
||||
|
||||
@@ -125,7 +125,11 @@ export enum FlowNodeTypeEnum {
|
||||
textEditor = 'textEditor',
|
||||
customFeedback = 'customFeedback',
|
||||
readFiles = 'readFiles',
|
||||
userSelect = 'userSelect'
|
||||
userSelect = 'userSelect',
|
||||
loop = 'loop',
|
||||
loopStart = 'loopStart',
|
||||
loopEnd = 'loopEnd',
|
||||
formInput = 'formInput'
|
||||
}
|
||||
|
||||
// node IO value type
|
||||
@@ -162,6 +166,10 @@ export const FlowValueTypeMap = {
|
||||
label: 'array<object>',
|
||||
value: WorkflowIOValueTypeEnum.arrayObject
|
||||
},
|
||||
[WorkflowIOValueTypeEnum.arrayAny]: {
|
||||
label: 'array',
|
||||
value: WorkflowIOValueTypeEnum.arrayAny
|
||||
},
|
||||
[WorkflowIOValueTypeEnum.any]: {
|
||||
label: 'any',
|
||||
value: WorkflowIOValueTypeEnum.any
|
||||
|
||||
14
packages/global/core/workflow/runtime/type.d.ts
vendored
14
packages/global/core/workflow/runtime/type.d.ts
vendored
@@ -20,6 +20,7 @@ import { RuntimeEdgeItemType } from './edge';
|
||||
import { ReadFileNodeResponse } from '../template/system/readFiles/type';
|
||||
import { UserSelectOptionType } from '../template/system/userSelect/type';
|
||||
import { WorkflowResponseType } from '../../../../service/core/workflow/dispatch/type';
|
||||
import { AiChatQuoteRoleType } from '../template/system/aiChat/type';
|
||||
|
||||
/* workflow props */
|
||||
export type ChatDispatchProps = {
|
||||
@@ -172,6 +173,18 @@ export type DispatchNodeResponseType = {
|
||||
|
||||
// update var
|
||||
updateVarResult?: any[];
|
||||
|
||||
// loop
|
||||
loopResult?: any[];
|
||||
loopInput?: any[];
|
||||
loopDetail?: ChatHistoryItemResType[];
|
||||
// loop start
|
||||
loopInputValue?: any;
|
||||
// loop end
|
||||
loopOutputValue?: any;
|
||||
|
||||
// form input
|
||||
formInputResult?: string;
|
||||
};
|
||||
|
||||
export type DispatchNodeResultType<T = {}> = {
|
||||
@@ -192,6 +205,7 @@ export type AIChatNodeProps = {
|
||||
[NodeInputKeyEnum.aiChatTemperature]: number;
|
||||
[NodeInputKeyEnum.aiChatMaxToken]: number;
|
||||
[NodeInputKeyEnum.aiChatIsResponseText]: boolean;
|
||||
[NodeInputKeyEnum.aiChatQuoteRole]?: AiChatQuoteRoleType;
|
||||
[NodeInputKeyEnum.aiChatQuoteTemplate]?: string;
|
||||
[NodeInputKeyEnum.aiChatQuotePrompt]?: string;
|
||||
[NodeInputKeyEnum.aiChatVision]?: boolean;
|
||||
|
||||
@@ -54,6 +54,11 @@ export const getLastInteractiveValue = (histories: ChatItemType[]) => {
|
||||
) {
|
||||
return lastValue.interactive;
|
||||
}
|
||||
|
||||
// Check is user input
|
||||
if (lastValue.interactive.type === 'userInput' && !lastValue.interactive.params.submitted) {
|
||||
return lastValue.interactive;
|
||||
}
|
||||
}
|
||||
|
||||
return null;
|
||||
|
||||
@@ -27,8 +27,12 @@ import { VariableUpdateNode } from './system/variableUpdate';
|
||||
import { CodeNode } from './system/sandbox';
|
||||
import { TextEditorNode } from './system/textEditor';
|
||||
import { CustomFeedbackNode } from './system/customFeedback';
|
||||
import { ReadFilesNodes } from './system/readFiles';
|
||||
import { UserSelectNode } from './system/userSelect/index';
|
||||
import { ReadFilesNode } from './system/readFiles';
|
||||
import { UserSelectNode } from './system/interactive/userSelect';
|
||||
import { LoopNode } from './system/loop/loop';
|
||||
import { LoopStartNode } from './system/loop/loopStart';
|
||||
import { LoopEndNode } from './system/loop/loopEnd';
|
||||
import { FormInputNode } from './system/interactive/formInput';
|
||||
|
||||
const systemNodes: FlowNodeTemplateType[] = [
|
||||
AiChatModule,
|
||||
@@ -40,13 +44,14 @@ const systemNodes: FlowNodeTemplateType[] = [
|
||||
StopToolNode,
|
||||
ClassifyQuestionModule,
|
||||
ContextExtractModule,
|
||||
ReadFilesNodes,
|
||||
ReadFilesNode,
|
||||
HttpNode468,
|
||||
AiQueryExtension,
|
||||
LafModule,
|
||||
IfElseNode,
|
||||
VariableUpdateNode,
|
||||
CodeNode
|
||||
CodeNode,
|
||||
LoopNode
|
||||
];
|
||||
/* app flow module templates */
|
||||
export const appSystemModuleTemplates: FlowNodeTemplateType[] = [
|
||||
@@ -54,7 +59,8 @@ export const appSystemModuleTemplates: FlowNodeTemplateType[] = [
|
||||
WorkflowStart,
|
||||
...systemNodes,
|
||||
CustomFeedbackNode,
|
||||
UserSelectNode
|
||||
UserSelectNode,
|
||||
FormInputNode
|
||||
];
|
||||
/* plugin flow module templates */
|
||||
export const pluginSystemModuleTemplates: FlowNodeTemplateType[] = [
|
||||
@@ -74,5 +80,7 @@ export const moduleTemplatesFlat: FlowNodeTemplateType[] = [
|
||||
EmptyNode,
|
||||
RunPluginModule,
|
||||
RunAppNode,
|
||||
RunAppModule
|
||||
RunAppModule,
|
||||
LoopStartNode,
|
||||
LoopEndNode
|
||||
];
|
||||
|
||||
@@ -23,6 +23,7 @@ export const Input_Template_UserChatInput: FlowNodeInputItemType = {
|
||||
renderTypeList: [FlowNodeInputTypeEnum.reference, FlowNodeInputTypeEnum.textarea],
|
||||
valueType: WorkflowIOValueTypeEnum.string,
|
||||
label: i18nT('workflow:user_question'),
|
||||
toolDescription: i18nT('workflow:user_question_tool_desc'),
|
||||
required: true
|
||||
};
|
||||
|
||||
@@ -83,3 +84,34 @@ export const Input_Template_File_Link: FlowNodeInputItemType = {
|
||||
description: i18nT('app:workflow.user_file_input_desc'),
|
||||
valueType: WorkflowIOValueTypeEnum.arrayString
|
||||
};
|
||||
|
||||
export const Input_Template_Children_Node_List: FlowNodeInputItemType = {
|
||||
key: NodeInputKeyEnum.childrenNodeIdList,
|
||||
renderTypeList: [FlowNodeInputTypeEnum.hidden],
|
||||
valueType: WorkflowIOValueTypeEnum.arrayString,
|
||||
label: '',
|
||||
value: []
|
||||
};
|
||||
export const Input_Template_Node_Width: FlowNodeInputItemType = {
|
||||
key: NodeInputKeyEnum.nodeWidth,
|
||||
renderTypeList: [FlowNodeInputTypeEnum.hidden],
|
||||
valueType: WorkflowIOValueTypeEnum.number,
|
||||
label: '',
|
||||
value: 900
|
||||
};
|
||||
export const Input_Template_Node_Height: FlowNodeInputItemType = {
|
||||
key: NodeInputKeyEnum.nodeHeight,
|
||||
renderTypeList: [FlowNodeInputTypeEnum.hidden],
|
||||
valueType: WorkflowIOValueTypeEnum.number,
|
||||
label: '',
|
||||
value: 900
|
||||
};
|
||||
|
||||
export const Input_Template_Stream_MODE: FlowNodeInputItemType = {
|
||||
key: NodeInputKeyEnum.forbidStream,
|
||||
renderTypeList: [FlowNodeInputTypeEnum.switch],
|
||||
valueType: WorkflowIOValueTypeEnum.boolean,
|
||||
label: i18nT('workflow:template.forbid_stream'),
|
||||
description: i18nT('workflow:template.forbid_stream_desc'),
|
||||
value: false
|
||||
};
|
||||
|
||||
@@ -3,14 +3,14 @@ import {
|
||||
FlowNodeInputTypeEnum,
|
||||
FlowNodeOutputTypeEnum,
|
||||
FlowNodeTypeEnum
|
||||
} from '../../node/constant';
|
||||
import { FlowNodeTemplateType } from '../../type/node';
|
||||
} from '../../../node/constant';
|
||||
import { FlowNodeTemplateType } from '../../../type/node';
|
||||
import {
|
||||
WorkflowIOValueTypeEnum,
|
||||
NodeInputKeyEnum,
|
||||
NodeOutputKeyEnum,
|
||||
FlowNodeTemplateTypeEnum
|
||||
} from '../../constants';
|
||||
} from '../../../constants';
|
||||
import {
|
||||
Input_Template_SettingAiModel,
|
||||
Input_Template_Dataset_Quote,
|
||||
@@ -18,10 +18,30 @@ import {
|
||||
Input_Template_System_Prompt,
|
||||
Input_Template_UserChatInput,
|
||||
Input_Template_Text_Quote
|
||||
} from '../input';
|
||||
import { chatNodeSystemPromptTip } from '../tip';
|
||||
import { getHandleConfig } from '../utils';
|
||||
import { i18nT } from '../../../../../web/i18n/utils';
|
||||
} from '../../input';
|
||||
import { chatNodeSystemPromptTip } from '../../tip';
|
||||
import { getHandleConfig } from '../../utils';
|
||||
import { i18nT } from '../../../../../../web/i18n/utils';
|
||||
|
||||
export const AiChatQuoteRole = {
|
||||
key: NodeInputKeyEnum.aiChatQuoteRole,
|
||||
renderTypeList: [FlowNodeInputTypeEnum.hidden],
|
||||
label: '',
|
||||
valueType: WorkflowIOValueTypeEnum.string,
|
||||
value: 'system' // user or system
|
||||
};
|
||||
export const AiChatQuoteTemplate = {
|
||||
key: NodeInputKeyEnum.aiChatQuoteTemplate,
|
||||
renderTypeList: [FlowNodeInputTypeEnum.hidden],
|
||||
label: '',
|
||||
valueType: WorkflowIOValueTypeEnum.string
|
||||
};
|
||||
export const AiChatQuotePrompt = {
|
||||
key: NodeInputKeyEnum.aiChatQuotePrompt,
|
||||
renderTypeList: [FlowNodeInputTypeEnum.hidden],
|
||||
label: '',
|
||||
valueType: WorkflowIOValueTypeEnum.string
|
||||
};
|
||||
|
||||
export const AiChatModule: FlowNodeTemplateType = {
|
||||
id: FlowNodeTypeEnum.chatNode,
|
||||
@@ -52,6 +72,7 @@ export const AiChatModule: FlowNodeTemplateType = {
|
||||
value: 2000,
|
||||
valueType: WorkflowIOValueTypeEnum.number
|
||||
},
|
||||
|
||||
{
|
||||
key: NodeInputKeyEnum.aiChatIsResponseText,
|
||||
renderTypeList: [FlowNodeInputTypeEnum.hidden],
|
||||
@@ -59,18 +80,9 @@ export const AiChatModule: FlowNodeTemplateType = {
|
||||
value: true,
|
||||
valueType: WorkflowIOValueTypeEnum.boolean
|
||||
},
|
||||
{
|
||||
key: NodeInputKeyEnum.aiChatQuoteTemplate,
|
||||
renderTypeList: [FlowNodeInputTypeEnum.hidden],
|
||||
label: '',
|
||||
valueType: WorkflowIOValueTypeEnum.string
|
||||
},
|
||||
{
|
||||
key: NodeInputKeyEnum.aiChatQuotePrompt,
|
||||
renderTypeList: [FlowNodeInputTypeEnum.hidden],
|
||||
label: '',
|
||||
valueType: WorkflowIOValueTypeEnum.string
|
||||
},
|
||||
AiChatQuoteRole,
|
||||
AiChatQuoteTemplate,
|
||||
AiChatQuotePrompt,
|
||||
{
|
||||
key: NodeInputKeyEnum.aiChatVision,
|
||||
renderTypeList: [FlowNodeInputTypeEnum.hidden],
|
||||
1
packages/global/core/workflow/template/system/aiChat/type.d.ts
vendored
Normal file
1
packages/global/core/workflow/template/system/aiChat/type.d.ts
vendored
Normal file
@@ -0,0 +1 @@
|
||||
export type AiChatQuoteRoleType = 'user' | 'system';
|
||||
@@ -0,0 +1,55 @@
|
||||
import { i18nT } from '../../../../../../web/i18n/utils';
|
||||
import {
|
||||
FlowNodeTemplateTypeEnum,
|
||||
NodeInputKeyEnum,
|
||||
NodeOutputKeyEnum,
|
||||
WorkflowIOValueTypeEnum
|
||||
} from '../../../constants';
|
||||
import {
|
||||
FlowNodeInputTypeEnum,
|
||||
FlowNodeOutputTypeEnum,
|
||||
FlowNodeTypeEnum
|
||||
} from '../../../node/constant';
|
||||
import { FlowNodeTemplateType } from '../../../type/node';
|
||||
import { getHandleConfig } from '../../utils';
|
||||
|
||||
export const FormInputNode: FlowNodeTemplateType = {
|
||||
id: FlowNodeTypeEnum.formInput,
|
||||
templateType: FlowNodeTemplateTypeEnum.interactive,
|
||||
flowNodeType: FlowNodeTypeEnum.formInput,
|
||||
sourceHandle: getHandleConfig(true, true, true, true),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
avatar: 'core/workflow/template/formInput',
|
||||
name: i18nT('app:workflow.form_input'),
|
||||
intro: i18nT(`app:workflow.form_input_tip`),
|
||||
showStatus: true,
|
||||
version: '4811',
|
||||
inputs: [
|
||||
{
|
||||
key: NodeInputKeyEnum.description,
|
||||
renderTypeList: [FlowNodeInputTypeEnum.textarea],
|
||||
valueType: WorkflowIOValueTypeEnum.string,
|
||||
label: i18nT('app:workflow.select_description'),
|
||||
description: i18nT('app:workflow.input_description_tip'),
|
||||
placeholder: i18nT('app:workflow.form_input_description_placeholder')
|
||||
},
|
||||
{
|
||||
key: NodeInputKeyEnum.userInputForms,
|
||||
renderTypeList: [FlowNodeInputTypeEnum.custom],
|
||||
valueType: WorkflowIOValueTypeEnum.any,
|
||||
label: '',
|
||||
value: []
|
||||
}
|
||||
],
|
||||
outputs: [
|
||||
{
|
||||
id: NodeOutputKeyEnum.formInputResult,
|
||||
key: NodeOutputKeyEnum.formInputResult,
|
||||
required: true,
|
||||
label: i18nT('workflow:form_input_result'),
|
||||
description: i18nT('workflow:form_input_result_tip'),
|
||||
valueType: WorkflowIOValueTypeEnum.object,
|
||||
type: FlowNodeOutputTypeEnum.static
|
||||
}
|
||||
]
|
||||
};
|
||||
56
packages/global/core/workflow/template/system/interactive/type.d.ts
vendored
Normal file
56
packages/global/core/workflow/template/system/interactive/type.d.ts
vendored
Normal file
@@ -0,0 +1,56 @@
|
||||
import { NodeOutputItemType } from '../../../../chat/type';
|
||||
import { FlowNodeOutputItemType } from '../../../type/io';
|
||||
import { RuntimeEdgeItemType } from '../../../runtime/type';
|
||||
import { FlowNodeInputTypeEnum } from 'core/workflow/node/constant';
|
||||
import { WorkflowIOValueTypeEnum } from 'core/workflow/constants';
|
||||
|
||||
export type UserSelectOptionItemType = {
|
||||
key: string;
|
||||
value: string;
|
||||
};
|
||||
|
||||
export type UserInputFormItemType = {
|
||||
type: FlowNodeInputTypeEnum;
|
||||
key: string;
|
||||
label: string;
|
||||
value: any;
|
||||
valueType: WorkflowIOValueTypeEnum;
|
||||
description?: string;
|
||||
defaultValue?: any;
|
||||
required: boolean;
|
||||
|
||||
// input & textarea
|
||||
maxLength?: number;
|
||||
// numberInput
|
||||
max?: number;
|
||||
min?: number;
|
||||
// select
|
||||
list?: { label: string; value: string }[];
|
||||
};
|
||||
|
||||
type InteractiveBasicType = {
|
||||
entryNodeIds: string[];
|
||||
memoryEdges: RuntimeEdgeItemType[];
|
||||
nodeOutputs: NodeOutputItemType[];
|
||||
};
|
||||
|
||||
type UserSelectInteractive = {
|
||||
type: 'userSelect';
|
||||
params: {
|
||||
description: string;
|
||||
userSelectOptions: UserSelectOptionItemType[];
|
||||
userSelectedVal?: string;
|
||||
};
|
||||
};
|
||||
|
||||
type UserInputInteractive = {
|
||||
type: 'userInput';
|
||||
params: {
|
||||
description: string;
|
||||
inputForm: UserInputFormItemType[];
|
||||
submitted?: boolean;
|
||||
};
|
||||
};
|
||||
|
||||
export type InteractiveNodeResponseItemType = InteractiveBasicType &
|
||||
(UserSelectInteractive | UserInputInteractive);
|
||||
54
packages/global/core/workflow/template/system/loop/loop.ts
Normal file
54
packages/global/core/workflow/template/system/loop/loop.ts
Normal file
@@ -0,0 +1,54 @@
|
||||
import {
|
||||
FlowNodeInputTypeEnum,
|
||||
FlowNodeOutputTypeEnum,
|
||||
FlowNodeTypeEnum
|
||||
} from '../../../node/constant';
|
||||
import { FlowNodeTemplateType } from '../../../type/node';
|
||||
import {
|
||||
FlowNodeTemplateTypeEnum,
|
||||
NodeInputKeyEnum,
|
||||
NodeOutputKeyEnum,
|
||||
WorkflowIOValueTypeEnum
|
||||
} from '../../../constants';
|
||||
import { getHandleConfig } from '../../utils';
|
||||
import { i18nT } from '../../../../../../web/i18n/utils';
|
||||
import {
|
||||
Input_Template_Children_Node_List,
|
||||
Input_Template_Node_Height,
|
||||
Input_Template_Node_Width
|
||||
} from '../../input';
|
||||
|
||||
export const LoopNode: FlowNodeTemplateType = {
|
||||
id: FlowNodeTypeEnum.loop,
|
||||
templateType: FlowNodeTemplateTypeEnum.tools,
|
||||
flowNodeType: FlowNodeTypeEnum.loop,
|
||||
sourceHandle: getHandleConfig(true, true, true, true),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
avatar: 'core/workflow/template/loop',
|
||||
name: i18nT('workflow:loop'),
|
||||
intro: i18nT('workflow:intro_loop'),
|
||||
showStatus: true,
|
||||
version: '4811',
|
||||
inputs: [
|
||||
{
|
||||
key: NodeInputKeyEnum.loopInputArray,
|
||||
renderTypeList: [FlowNodeInputTypeEnum.reference],
|
||||
valueType: WorkflowIOValueTypeEnum.arrayAny,
|
||||
required: true,
|
||||
label: i18nT('workflow:loop_input_array'),
|
||||
value: []
|
||||
},
|
||||
Input_Template_Children_Node_List,
|
||||
Input_Template_Node_Width,
|
||||
Input_Template_Node_Height
|
||||
],
|
||||
outputs: [
|
||||
{
|
||||
id: NodeOutputKeyEnum.loopArray,
|
||||
key: NodeOutputKeyEnum.loopArray,
|
||||
label: i18nT('workflow:loop_result'),
|
||||
type: FlowNodeOutputTypeEnum.static,
|
||||
valueType: WorkflowIOValueTypeEnum.arrayAny
|
||||
}
|
||||
]
|
||||
};
|
||||
@@ -0,0 +1,34 @@
|
||||
import { i18nT } from '../../../../../../web/i18n/utils';
|
||||
import {
|
||||
FlowNodeTemplateTypeEnum,
|
||||
NodeInputKeyEnum,
|
||||
WorkflowIOValueTypeEnum
|
||||
} from '../../../constants';
|
||||
import { FlowNodeInputTypeEnum, FlowNodeTypeEnum } from '../../../node/constant';
|
||||
import { FlowNodeTemplateType } from '../../../type/node';
|
||||
import { getHandleConfig } from '../../utils';
|
||||
|
||||
export const LoopEndNode: FlowNodeTemplateType = {
|
||||
id: FlowNodeTypeEnum.loopEnd,
|
||||
templateType: FlowNodeTemplateTypeEnum.systemInput,
|
||||
flowNodeType: FlowNodeTypeEnum.loopEnd,
|
||||
sourceHandle: getHandleConfig(false, false, false, false),
|
||||
targetHandle: getHandleConfig(false, false, false, true),
|
||||
unique: true,
|
||||
forbidDelete: true,
|
||||
avatar: 'core/workflow/template/loopEnd',
|
||||
name: i18nT('workflow:loop_end'),
|
||||
showStatus: false,
|
||||
version: '4811',
|
||||
inputs: [
|
||||
{
|
||||
key: NodeInputKeyEnum.loopEndInput,
|
||||
renderTypeList: [FlowNodeInputTypeEnum.reference],
|
||||
valueType: WorkflowIOValueTypeEnum.any,
|
||||
label: '',
|
||||
required: true,
|
||||
value: []
|
||||
}
|
||||
],
|
||||
outputs: []
|
||||
};
|
||||
@@ -0,0 +1,34 @@
|
||||
import { FlowNodeInputTypeEnum, FlowNodeTypeEnum } from '../../../node/constant';
|
||||
import { FlowNodeTemplateType } from '../../../type/node.d';
|
||||
import {
|
||||
FlowNodeTemplateTypeEnum,
|
||||
NodeInputKeyEnum,
|
||||
WorkflowIOValueTypeEnum
|
||||
} from '../../../constants';
|
||||
import { getHandleConfig } from '../../utils';
|
||||
import { i18nT } from '../../../../../../web/i18n/utils';
|
||||
|
||||
export const LoopStartNode: FlowNodeTemplateType = {
|
||||
id: FlowNodeTypeEnum.loopStart,
|
||||
templateType: FlowNodeTemplateTypeEnum.systemInput,
|
||||
flowNodeType: FlowNodeTypeEnum.loopStart,
|
||||
sourceHandle: getHandleConfig(false, true, false, false),
|
||||
targetHandle: getHandleConfig(false, false, false, false),
|
||||
avatar: 'core/workflow/template/loopStart',
|
||||
name: i18nT('workflow:loop_start'),
|
||||
unique: true,
|
||||
forbidDelete: true,
|
||||
showStatus: false,
|
||||
version: '4811',
|
||||
inputs: [
|
||||
{
|
||||
key: NodeInputKeyEnum.loopStartInput,
|
||||
renderTypeList: [FlowNodeInputTypeEnum.hidden],
|
||||
valueType: WorkflowIOValueTypeEnum.any,
|
||||
label: '',
|
||||
required: true,
|
||||
value: ''
|
||||
}
|
||||
],
|
||||
outputs: []
|
||||
};
|
||||
@@ -13,7 +13,7 @@ export const PluginOutputModule: FlowNodeTemplateType = {
|
||||
unique: true,
|
||||
forbidDelete: true,
|
||||
avatar: 'core/workflow/template/pluginOutput',
|
||||
name: i18nT('workflow:custom_plugin_output'),
|
||||
name: i18nT('workflow:template.plugin_output'),
|
||||
intro: i18nT('workflow:intro_custom_plugin_output'),
|
||||
showStatus: false,
|
||||
version: '481',
|
||||
|
||||
@@ -13,7 +13,7 @@ import {
|
||||
import { FlowNodeTemplateType } from '../../../type/node';
|
||||
import { getHandleConfig } from '../../utils';
|
||||
|
||||
export const ReadFilesNodes: FlowNodeTemplateType = {
|
||||
export const ReadFilesNode: FlowNodeTemplateType = {
|
||||
id: FlowNodeTypeEnum.readFiles,
|
||||
templateType: FlowNodeTemplateTypeEnum.tools,
|
||||
flowNodeType: FlowNodeTypeEnum.readFiles,
|
||||
|
||||
@@ -1,24 +0,0 @@
|
||||
import { NodeOutputItemType } from '../../../../chat/type';
|
||||
import { FlowNodeOutputItemType } from '../../../type/io';
|
||||
import { RuntimeEdgeItemType } from '../../../runtime/type';
|
||||
|
||||
export type UserSelectOptionItemType = {
|
||||
key: string;
|
||||
value: string;
|
||||
};
|
||||
|
||||
type InteractiveBasicType = {
|
||||
entryNodeIds: string[];
|
||||
memoryEdges: RuntimeEdgeItemType[];
|
||||
nodeOutputs: NodeOutputItemType[];
|
||||
};
|
||||
type UserSelectInteractive = {
|
||||
type: 'userSelect';
|
||||
params: {
|
||||
description: string;
|
||||
userSelectOptions: UserSelectOptionItemType[];
|
||||
userSelectedVal?: string;
|
||||
};
|
||||
};
|
||||
|
||||
export type InteractiveNodeResponseItemType = InteractiveBasicType & UserSelectInteractive;
|
||||
1
packages/global/core/workflow/type/io.d.ts
vendored
1
packages/global/core/workflow/type/io.d.ts
vendored
@@ -54,6 +54,7 @@ export type FlowNodeInputItemType = InputComponentPropsType & {
|
||||
// render components params
|
||||
canEdit?: boolean; // dynamic inputs
|
||||
isPro?: boolean; // Pro version field
|
||||
isToolOutput?: boolean;
|
||||
};
|
||||
|
||||
export type FlowNodeOutputItemType = {
|
||||
|
||||
2
packages/global/core/workflow/type/node.d.ts
vendored
2
packages/global/core/workflow/type/node.d.ts
vendored
@@ -95,6 +95,7 @@ export type NodeTemplateListType = {
|
||||
// react flow node type
|
||||
export type FlowNodeItemType = FlowNodeTemplateType & {
|
||||
nodeId: string;
|
||||
parentNodeId?: string;
|
||||
isError?: boolean;
|
||||
debugResult?: {
|
||||
status: 'running' | 'success' | 'skipped' | 'failed';
|
||||
@@ -103,6 +104,7 @@ export type FlowNodeItemType = FlowNodeTemplateType & {
|
||||
response?: ChatHistoryItemResType;
|
||||
isExpired?: boolean;
|
||||
};
|
||||
isFolded?: boolean;
|
||||
};
|
||||
|
||||
// store node type
|
||||
|
||||
@@ -31,8 +31,17 @@ import {
|
||||
import { IfElseResultEnum } from './template/system/ifElse/constant';
|
||||
import { RuntimeNodeItemType } from './runtime/type';
|
||||
import { getReferenceVariableValue } from './runtime/utils';
|
||||
import { Input_Template_History, Input_Template_UserChatInput } from './template/input';
|
||||
import {
|
||||
Input_Template_History,
|
||||
Input_Template_Stream_MODE,
|
||||
Input_Template_UserChatInput
|
||||
} from './template/input';
|
||||
import { i18nT } from '../../../web/i18n/utils';
|
||||
import { RuntimeUserPromptType, UserChatItemType } from '../../core/chat/type';
|
||||
import { getNanoid } from '../../common/string/tools';
|
||||
import { ChatRoleEnum } from '../../core/chat/constants';
|
||||
import { runtimePrompt2ChatsValue } from '../../core/chat/adapt';
|
||||
import { getPluginRunContent } from '../../core/app/plugin/utils';
|
||||
|
||||
export const getHandleId = (nodeId: string, type: 'source' | 'target', key: string) => {
|
||||
return `${nodeId}-${type}-${key}`;
|
||||
@@ -174,17 +183,21 @@ export const pluginData2FlowNodeIO = ({
|
||||
const pluginOutput = nodes.find((node) => node.flowNodeType === FlowNodeTypeEnum.pluginOutput);
|
||||
|
||||
return {
|
||||
inputs:
|
||||
pluginInput?.inputs.map((item) => ({
|
||||
...item,
|
||||
...getModuleInputUiField(item),
|
||||
value: getOrInitModuleInputValue(item),
|
||||
canEdit: false,
|
||||
renderTypeList:
|
||||
item.renderTypeList[0] === FlowNodeInputTypeEnum.customVariable
|
||||
? [FlowNodeInputTypeEnum.reference, FlowNodeInputTypeEnum.input]
|
||||
: item.renderTypeList
|
||||
})) || [],
|
||||
inputs: pluginInput
|
||||
? [
|
||||
Input_Template_Stream_MODE,
|
||||
...pluginInput?.inputs.map((item) => ({
|
||||
...item,
|
||||
...getModuleInputUiField(item),
|
||||
value: getOrInitModuleInputValue(item),
|
||||
canEdit: false,
|
||||
renderTypeList:
|
||||
item.renderTypeList[0] === FlowNodeInputTypeEnum.customVariable
|
||||
? [FlowNodeInputTypeEnum.reference, FlowNodeInputTypeEnum.input]
|
||||
: item.renderTypeList
|
||||
}))
|
||||
]
|
||||
: [],
|
||||
outputs: pluginOutput
|
||||
? [
|
||||
...pluginOutput.inputs.map((item) => ({
|
||||
@@ -245,6 +258,7 @@ export const appData2FlowNodeIO = ({
|
||||
|
||||
return {
|
||||
inputs: [
|
||||
Input_Template_Stream_MODE,
|
||||
Input_Template_History,
|
||||
Input_Template_UserChatInput,
|
||||
// ...(showFileLink ? [Input_Template_File_Link] : []),
|
||||
@@ -395,3 +409,26 @@ export function replaceEditorVariable({
|
||||
}
|
||||
return text || '';
|
||||
}
|
||||
|
||||
/* Get plugin runtime input user query */
|
||||
export const getPluginRunUserQuery = ({
|
||||
pluginInputs,
|
||||
variables,
|
||||
files = []
|
||||
}: {
|
||||
pluginInputs: FlowNodeInputItemType[];
|
||||
variables: Record<string, any>;
|
||||
files?: RuntimeUserPromptType['files'];
|
||||
}): UserChatItemType & { dataId: string } => {
|
||||
return {
|
||||
dataId: getNanoid(24),
|
||||
obj: ChatRoleEnum.Human,
|
||||
value: runtimePrompt2ChatsValue({
|
||||
text: getPluginRunContent({
|
||||
pluginInputs: pluginInputs,
|
||||
variables
|
||||
}),
|
||||
files
|
||||
})
|
||||
};
|
||||
};
|
||||
|
||||
@@ -11,7 +11,7 @@
|
||||
"jschardet": "3.1.1",
|
||||
"nanoid": "^4.0.1",
|
||||
"next": "14.2.5",
|
||||
"openai": "4.57.0",
|
||||
"openai": "4.61.0",
|
||||
"openapi-types": "^12.1.3",
|
||||
"timezones-list": "^3.0.2"
|
||||
},
|
||||
|
||||
@@ -13,16 +13,30 @@
|
||||
|
||||
"workflow": {
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "pluginConfig",
|
||||
"name": "common:core.module.template.system_config",
|
||||
"intro": "",
|
||||
"avatar": "core/workflow/template/systemConfig",
|
||||
"flowNodeType": "pluginConfig",
|
||||
"position": {
|
||||
"x": -90.53591960393504,
|
||||
"y": -17.580286776561252
|
||||
},
|
||||
"version": "4811",
|
||||
"inputs": [],
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginInput",
|
||||
"name": "自定义插件输入",
|
||||
"name": "插件开始",
|
||||
"intro": "可以配置插件需要哪些输入,利用这些输入来运行插件",
|
||||
"avatar": "core/workflow/template/workflowStart",
|
||||
"flowNodeType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 362.9862638626885,
|
||||
"y": 6.16353826540589
|
||||
"x": 368.6800424053505,
|
||||
"y": -17.580286776561252
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -107,14 +121,14 @@
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"name": "自定义插件输出",
|
||||
"name": "插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "core/workflow/template/pluginOutput",
|
||||
"flowNodeType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 1661.4708279314577,
|
||||
"y": 23.877720915480012
|
||||
"x": 1796.2235867744578,
|
||||
"y": 6.419713223438748
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -167,7 +181,7 @@
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.HTTP Dynamic Input",
|
||||
"description": "common:core.module.input.description.HTTP Dynamic Input",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
@@ -178,6 +192,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -187,7 +202,9 @@
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
@@ -195,17 +212,33 @@
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"value": "POST",
|
||||
"required": true
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpTimeout",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "number",
|
||||
"label": "",
|
||||
"value": 30,
|
||||
"min": 5,
|
||||
"max": 600,
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"description": "common:core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"value": "Doc2X/FileImg2text"
|
||||
"value": "Doc2X/FileImg2text",
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
@@ -213,9 +246,11 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false
|
||||
"description": "common:core.module.input.description.Http Request Header",
|
||||
"placeholder": "common:core.module.input.description.Http Request Header",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpParams",
|
||||
@@ -223,7 +258,9 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpJsonBody",
|
||||
@@ -231,7 +268,29 @@
|
||||
"valueType": "any",
|
||||
"value": "{\n \"apikey\": \"{{apikey}}\",\n \"files\": {{files}},\n \"img_correction\": {{img_correction}},\n \"formula\": {{formula}}\n}",
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpFormBody",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpContentType",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"value": "json",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
@@ -249,6 +308,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -278,6 +338,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -307,6 +368,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -336,6 +398,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -354,7 +417,7 @@
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "请求错误",
|
||||
"label": "workflow:request_error",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
@@ -362,8 +425,8 @@
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"label": "原始响应",
|
||||
"required": true,
|
||||
"label": "workflow:raw_response",
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
|
||||
@@ -13,16 +13,30 @@
|
||||
|
||||
"workflow": {
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "pluginConfig",
|
||||
"name": "common:core.module.template.system_config",
|
||||
"intro": "",
|
||||
"avatar": "core/workflow/template/systemConfig",
|
||||
"flowNodeType": "pluginConfig",
|
||||
"position": {
|
||||
"x": -30.474351356537454,
|
||||
"y": -101.45216221730038
|
||||
},
|
||||
"version": "4811",
|
||||
"inputs": [],
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginInput",
|
||||
"name": "自定义插件输入",
|
||||
"name": "插件开始",
|
||||
"intro": "可以配置插件需要哪些输入,利用这些输入来运行插件",
|
||||
"avatar": "core/workflow/template/workflowStart",
|
||||
"flowNodeType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 388.243055058894,
|
||||
"y": -75.09744210499466
|
||||
"x": 407.2817920483865,
|
||||
"y": -101.45216221730038
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -88,14 +102,14 @@
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"name": "自定义插件输出",
|
||||
"name": "插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "core/workflow/template/pluginOutput",
|
||||
"flowNodeType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 1649.7796447278438,
|
||||
"y": -96.05331527115042
|
||||
"x": 1842.070888321717,
|
||||
"y": -101.45216221730038
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -148,7 +162,7 @@
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.HTTP Dynamic Input",
|
||||
"description": "common:core.module.input.description.HTTP Dynamic Input",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
@@ -159,6 +173,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -168,7 +183,9 @@
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
@@ -176,17 +193,33 @@
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"value": "POST",
|
||||
"required": true
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpTimeout",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "number",
|
||||
"label": "",
|
||||
"value": 30,
|
||||
"min": 5,
|
||||
"max": 600,
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"description": "common:core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"value": "Doc2X/FilePDF2text"
|
||||
"value": "Doc2X/FilePDF2text",
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
@@ -194,9 +227,11 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false
|
||||
"description": "common:core.module.input.description.Http Request Header",
|
||||
"placeholder": "common:core.module.input.description.Http Request Header",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpParams",
|
||||
@@ -204,7 +239,9 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpJsonBody",
|
||||
@@ -212,7 +249,29 @@
|
||||
"valueType": "any",
|
||||
"value": "{\n \"apikey\": \"{{apikey}}\",\n \"files\": {{files}},\n \"ocr\": {{ocr}}\n}",
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpFormBody",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpContentType",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"value": "json",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
@@ -230,6 +289,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -259,6 +319,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -288,6 +349,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -306,7 +368,7 @@
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "请求错误",
|
||||
"label": "workflow:request_error",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
@@ -314,8 +376,8 @@
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"label": "原始响应",
|
||||
"required": true,
|
||||
"label": "workflow:raw_response",
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
|
||||
@@ -15,13 +15,13 @@
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "pluginInput",
|
||||
"name": "自定义插件输入",
|
||||
"name": "插件开始",
|
||||
"intro": "可以配置插件需要哪些输入,利用这些输入来运行插件",
|
||||
"avatar": "core/workflow/template/workflowStart",
|
||||
"flowNodeType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 388.243055058894,
|
||||
"x": 353.91678143999377,
|
||||
"y": -75.09744210499466
|
||||
},
|
||||
"version": "481",
|
||||
@@ -107,14 +107,14 @@
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"name": "自定义插件输出",
|
||||
"name": "插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "core/workflow/template/pluginOutput",
|
||||
"flowNodeType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 1654.8021754314786,
|
||||
"y": -22.243376051504086
|
||||
"x": 1703.581616889916,
|
||||
"y": -14.097442104994656
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -147,8 +147,8 @@
|
||||
"flowNodeType": "httpRequest468",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
"x": 1081.967607938733,
|
||||
"y": -426.08028677656125
|
||||
"x": 1000.6685388413375,
|
||||
"y": -457.0974421049947
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -158,7 +158,7 @@
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.HTTP Dynamic Input",
|
||||
"description": "common:core.module.input.description.HTTP Dynamic Input",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
@@ -169,6 +169,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -178,7 +179,9 @@
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
@@ -186,17 +189,33 @@
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"value": "POST",
|
||||
"required": true
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpTimeout",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "number",
|
||||
"label": "",
|
||||
"value": 30,
|
||||
"min": 5,
|
||||
"max": 600,
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"description": "common:core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"value": "Doc2X/URLImg2text"
|
||||
"value": "Doc2X/URLImg2text",
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
@@ -204,9 +223,11 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false
|
||||
"description": "common:core.module.input.description.Http Request Header",
|
||||
"placeholder": "common:core.module.input.description.Http Request Header",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpParams",
|
||||
@@ -214,7 +235,9 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpJsonBody",
|
||||
@@ -222,7 +245,29 @@
|
||||
"valueType": "any",
|
||||
"value": "{\n \"apikey\": \"{{apikey}}\",\n \"url\": \"{{url}}\",\n \"img_correction\": {{img_correction}},\n \"formula\": {{formula}}\n}",
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpFormBody",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpContentType",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"value": "json",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
@@ -240,6 +285,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -269,6 +315,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -298,6 +345,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -327,6 +375,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -345,7 +394,7 @@
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "请求错误",
|
||||
"label": "workflow:request_error",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
@@ -353,8 +402,8 @@
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"label": "原始响应",
|
||||
"required": true,
|
||||
"label": "workflow:raw_response",
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
@@ -401,6 +450,20 @@
|
||||
"label": "success"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"nodeId": "sWEDDSeuI9ar",
|
||||
"name": "系统配置",
|
||||
"intro": "",
|
||||
"avatar": "core/workflow/template/systemConfig",
|
||||
"flowNodeType": "pluginConfig",
|
||||
"position": {
|
||||
"x": -117.03701176267538,
|
||||
"y": -75.09744210499466
|
||||
},
|
||||
"version": "4811",
|
||||
"inputs": [],
|
||||
"outputs": []
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
|
||||
@@ -15,7 +15,7 @@
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "pluginInput",
|
||||
"name": "自定义插件输入",
|
||||
"name": "插件开始",
|
||||
"intro": "可以配置插件需要哪些输入,利用这些输入来运行插件",
|
||||
"avatar": "core/workflow/template/workflowStart",
|
||||
"flowNodeType": "pluginInput",
|
||||
@@ -88,14 +88,14 @@
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"name": "自定义插件输出",
|
||||
"name": "插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "core/workflow/template/pluginOutput",
|
||||
"flowNodeType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 1654.8021754314786,
|
||||
"y": -22.243376051504086
|
||||
"x": 1665.6420513111314,
|
||||
"y": -40.597442104994656
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -128,8 +128,8 @@
|
||||
"flowNodeType": "httpRequest468",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
"x": 1081.967607938733,
|
||||
"y": -426.08028677656125
|
||||
"x": 966.3422652224374,
|
||||
"y": -446.5974421049947
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -139,7 +139,7 @@
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.HTTP Dynamic Input",
|
||||
"description": "common:core.module.input.description.HTTP Dynamic Input",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
@@ -150,6 +150,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -159,7 +160,9 @@
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
@@ -167,17 +170,33 @@
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"value": "POST",
|
||||
"required": true
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpTimeout",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "number",
|
||||
"label": "",
|
||||
"value": 30,
|
||||
"min": 5,
|
||||
"max": 600,
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"description": "common:core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"value": "Doc2X/URLPDF2text"
|
||||
"value": "Doc2X/URLPDF2text",
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
@@ -185,9 +204,11 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false
|
||||
"description": "common:core.module.input.description.Http Request Header",
|
||||
"placeholder": "common:core.module.input.description.Http Request Header",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpParams",
|
||||
@@ -195,7 +216,9 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpJsonBody",
|
||||
@@ -203,7 +226,29 @@
|
||||
"valueType": "any",
|
||||
"value": "{\n \"apikey\": \"{{apikey}}\",\n \"url\": \"{{url}}\",\n \"ocr\": {{ocr}}\n}",
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpFormBody",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpContentType",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"value": "json",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
@@ -221,6 +266,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -250,6 +296,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -279,6 +326,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -297,7 +345,7 @@
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "请求错误",
|
||||
"label": "workflow:request_error",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
@@ -305,8 +353,8 @@
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"label": "原始响应",
|
||||
"required": true,
|
||||
"label": "workflow:raw_response",
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
@@ -353,6 +401,20 @@
|
||||
"label": "success"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"nodeId": "rZmLfANEyyJe",
|
||||
"name": "系统配置",
|
||||
"intro": "",
|
||||
"avatar": "core/workflow/template/systemConfig",
|
||||
"flowNodeType": "pluginConfig",
|
||||
"position": {
|
||||
"x": -93.55061402342784,
|
||||
"y": -55.907069101622824
|
||||
},
|
||||
"version": "4811",
|
||||
"inputs": [],
|
||||
"outputs": []
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
|
||||
@@ -14,14 +14,14 @@
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "pluginInput",
|
||||
"name": "自定义插件输入",
|
||||
"name": "插件开始",
|
||||
"intro": "可以配置插件需要哪些输入,利用这些输入来运行插件",
|
||||
"avatar": "/imgs/workflow/input.png",
|
||||
"avatar": "core/workflow/template/workflowStart",
|
||||
"flowNodeType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 393.68844551739926,
|
||||
"y": -58.80666875994541
|
||||
"x": 484.02074451450517,
|
||||
"y": -79.06127656499825
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -49,14 +49,14 @@
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"name": "自定义插件输出",
|
||||
"name": "插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "/imgs/workflow/output.png",
|
||||
"avatar": "core/workflow/template/pluginOutput",
|
||||
"flowNodeType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 1795.6509902691012,
|
||||
"y": -47.04550785550961
|
||||
"x": 1759.5180706702588,
|
||||
"y": -60.56127656499825
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -76,7 +76,7 @@
|
||||
"nodeId": "hjnVuJAOwyXV",
|
||||
"name": "HTTP 请求",
|
||||
"intro": "可以发出一个 HTTP 请求,实现更为复杂的操作(联网搜索、数据库查询等)",
|
||||
"avatar": "/imgs/workflow/http.png",
|
||||
"avatar": "core/workflow/template/httpRequest",
|
||||
"flowNodeType": "httpRequest468",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
@@ -91,7 +91,7 @@
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.HTTP Dynamic Input",
|
||||
"description": "common:core.module.input.description.HTTP Dynamic Input",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
@@ -102,6 +102,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -111,7 +112,9 @@
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
@@ -119,17 +122,33 @@
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"value": "POST",
|
||||
"required": true
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpTimeout",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "number",
|
||||
"label": "",
|
||||
"value": 30,
|
||||
"min": 5,
|
||||
"max": 600,
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"description": "common:core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"value": "duckduckgo/search"
|
||||
"value": "duckduckgo/search",
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
@@ -137,9 +156,11 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false
|
||||
"description": "common:core.module.input.description.Http Request Header",
|
||||
"placeholder": "common:core.module.input.description.Http Request Header",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpParams",
|
||||
@@ -147,7 +168,9 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpJsonBody",
|
||||
@@ -155,7 +178,29 @@
|
||||
"valueType": "any",
|
||||
"value": "{\n \"query\": \"{{query}}\"\n}",
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpFormBody",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpContentType",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"value": "json",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
@@ -173,6 +218,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -188,6 +234,23 @@
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "workflow:request_error",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"required": true,
|
||||
"label": "workflow:raw_response",
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "system_addOutputParam",
|
||||
"key": "system_addOutputParam",
|
||||
@@ -215,23 +278,6 @@
|
||||
"showDefaultValue": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "请求错误",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"label": "原始响应",
|
||||
"required": true,
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "lEyy5QqyIBrK",
|
||||
"valueType": "string",
|
||||
@@ -240,6 +286,20 @@
|
||||
"label": "result"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"nodeId": "f1mRh1D85H2D",
|
||||
"name": "系统配置",
|
||||
"intro": "",
|
||||
"avatar": "core/workflow/template/systemConfig",
|
||||
"flowNodeType": "pluginConfig",
|
||||
"position": {
|
||||
"x": -28.511358745511643,
|
||||
"y": -103.56127656499825
|
||||
},
|
||||
"version": "4811",
|
||||
"inputs": [],
|
||||
"outputs": []
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
|
||||
@@ -14,14 +14,14 @@
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "pluginInput",
|
||||
"name": "自定义插件输入",
|
||||
"name": "插件开始",
|
||||
"intro": "可以配置插件需要哪些输入,利用这些输入来运行插件",
|
||||
"avatar": "/imgs/workflow/input.png",
|
||||
"avatar": "core/workflow/template/workflowStart",
|
||||
"flowNodeType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 393.68844551739926,
|
||||
"y": -58.80666875994541
|
||||
"x": 422.59478119647315,
|
||||
"y": -79.06127656499825
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -49,14 +49,14 @@
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"name": "自定义插件输出",
|
||||
"name": "插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "/imgs/workflow/output.png",
|
||||
"avatar": "core/workflow/template/pluginOutput",
|
||||
"flowNodeType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 1795.6509902691012,
|
||||
"y": -47.04550785550961
|
||||
"x": 1777.58453046968,
|
||||
"y": -60.56127656499825
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -76,7 +76,7 @@
|
||||
"nodeId": "hjnVuJAOwyXV",
|
||||
"name": "HTTP 请求",
|
||||
"intro": "可以发出一个 HTTP 请求,实现更为复杂的操作(联网搜索、数据库查询等)",
|
||||
"avatar": "/imgs/workflow/http.png",
|
||||
"avatar": "core/workflow/template/httpRequest",
|
||||
"flowNodeType": "httpRequest468",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
@@ -91,7 +91,7 @@
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.HTTP Dynamic Input",
|
||||
"description": "common:core.module.input.description.HTTP Dynamic Input",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
@@ -102,6 +102,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -111,7 +112,9 @@
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
@@ -119,17 +122,33 @@
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"value": "POST",
|
||||
"required": true
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpTimeout",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "number",
|
||||
"label": "",
|
||||
"value": 30,
|
||||
"min": 5,
|
||||
"max": 600,
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"description": "common:core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"value": "duckduckgo/searchImg"
|
||||
"value": "duckduckgo/searchImg",
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
@@ -137,9 +156,11 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false
|
||||
"description": "common:core.module.input.description.Http Request Header",
|
||||
"placeholder": "common:core.module.input.description.Http Request Header",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpParams",
|
||||
@@ -147,7 +168,9 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpJsonBody",
|
||||
@@ -155,7 +178,29 @@
|
||||
"valueType": "any",
|
||||
"value": "{\n \"query\": \"{{query}}\"\n}",
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpFormBody",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpContentType",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"value": "json",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
@@ -173,6 +218,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -188,6 +234,23 @@
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "workflow:request_error",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"required": true,
|
||||
"label": "workflow:raw_response",
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "system_addOutputParam",
|
||||
"key": "system_addOutputParam",
|
||||
@@ -215,23 +278,6 @@
|
||||
"showDefaultValue": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "请求错误",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"label": "原始响应",
|
||||
"required": true,
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "lEyy5QqyIBrK",
|
||||
"valueType": "string",
|
||||
@@ -240,6 +286,20 @@
|
||||
"label": "result"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"nodeId": "y3A7CnUp4VOH",
|
||||
"name": "系统配置",
|
||||
"intro": "",
|
||||
"avatar": "core/workflow/template/systemConfig",
|
||||
"flowNodeType": "pluginConfig",
|
||||
"position": {
|
||||
"x": -35.73794266528006,
|
||||
"y": -103.56127656499825
|
||||
},
|
||||
"version": "4811",
|
||||
"inputs": [],
|
||||
"outputs": []
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
|
||||
@@ -14,14 +14,14 @@
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "pluginInput",
|
||||
"name": "自定义插件输入",
|
||||
"name": "插件开始",
|
||||
"intro": "可以配置插件需要哪些输入,利用这些输入来运行插件",
|
||||
"avatar": "/imgs/workflow/input.png",
|
||||
"avatar": "core/workflow/template/workflowStart",
|
||||
"flowNodeType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 393.68844551739926,
|
||||
"y": -58.80666875994541
|
||||
"x": 476.7941605947366,
|
||||
"y": -79.06127656499825
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -49,14 +49,14 @@
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"name": "自定义插件输出",
|
||||
"name": "插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "/imgs/workflow/output.png",
|
||||
"avatar": "core/workflow/template/pluginOutput",
|
||||
"flowNodeType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 1795.6509902691012,
|
||||
"y": -47.04550785550961
|
||||
"x": 1761.324716650201,
|
||||
"y": -60.56127656499825
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -76,7 +76,7 @@
|
||||
"nodeId": "hjnVuJAOwyXV",
|
||||
"name": "HTTP 请求",
|
||||
"intro": "可以发出一个 HTTP 请求,实现更为复杂的操作(联网搜索、数据库查询等)",
|
||||
"avatar": "/imgs/workflow/http.png",
|
||||
"avatar": "core/workflow/template/httpRequest",
|
||||
"flowNodeType": "httpRequest468",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
@@ -91,7 +91,7 @@
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.HTTP Dynamic Input",
|
||||
"description": "common:core.module.input.description.HTTP Dynamic Input",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
@@ -102,6 +102,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -111,7 +112,9 @@
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
@@ -119,17 +122,33 @@
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"value": "POST",
|
||||
"required": true
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpTimeout",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "number",
|
||||
"label": "",
|
||||
"value": 30,
|
||||
"min": 5,
|
||||
"max": 600,
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"description": "common:core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"value": "duckduckgo/searchNews"
|
||||
"value": "duckduckgo/searchNews",
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
@@ -137,9 +156,11 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false
|
||||
"description": "common:core.module.input.description.Http Request Header",
|
||||
"placeholder": "common:core.module.input.description.Http Request Header",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpParams",
|
||||
@@ -147,7 +168,9 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpJsonBody",
|
||||
@@ -155,7 +178,29 @@
|
||||
"valueType": "any",
|
||||
"value": "{\n \"query\": \"{{query}}\"\n}",
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpFormBody",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpContentType",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"value": "json",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
@@ -173,6 +218,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -188,6 +234,23 @@
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "workflow:request_error",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"required": true,
|
||||
"label": "workflow:raw_response",
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "system_addOutputParam",
|
||||
"key": "system_addOutputParam",
|
||||
@@ -215,23 +278,6 @@
|
||||
"showDefaultValue": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "请求错误",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"label": "原始响应",
|
||||
"required": true,
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "lEyy5QqyIBrK",
|
||||
"valueType": "string",
|
||||
@@ -240,6 +286,20 @@
|
||||
"label": "result"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"nodeId": "dG0Prv5FaR8e",
|
||||
"name": "系统配置",
|
||||
"intro": "",
|
||||
"avatar": "core/workflow/template/systemConfig",
|
||||
"flowNodeType": "pluginConfig",
|
||||
"position": {
|
||||
"x": -32.12465070539588,
|
||||
"y": -103.56127656499825
|
||||
},
|
||||
"version": "4811",
|
||||
"inputs": [],
|
||||
"outputs": []
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
|
||||
@@ -14,14 +14,14 @@
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "pluginInput",
|
||||
"name": "自定义插件输入",
|
||||
"name": "插件开始",
|
||||
"intro": "可以配置插件需要哪些输入,利用这些输入来运行插件",
|
||||
"avatar": "/imgs/workflow/input.png",
|
||||
"avatar": "core/workflow/template/workflowStart",
|
||||
"flowNodeType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 393.68844551739926,
|
||||
"y": -58.80666875994541
|
||||
"x": 429.8213651162415,
|
||||
"y": -79.06127656499825
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -49,14 +49,14 @@
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"name": "自定义插件输出",
|
||||
"name": "插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "/imgs/workflow/output.png",
|
||||
"avatar": "core/workflow/template/pluginOutput",
|
||||
"flowNodeType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 1795.6509902691012,
|
||||
"y": -47.04550785550961
|
||||
"x": 1781.1978224295642,
|
||||
"y": -60.56127656499825
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -76,7 +76,7 @@
|
||||
"nodeId": "hjnVuJAOwyXV",
|
||||
"name": "HTTP 请求",
|
||||
"intro": "可以发出一个 HTTP 请求,实现更为复杂的操作(联网搜索、数据库查询等)",
|
||||
"avatar": "/imgs/workflow/http.png",
|
||||
"avatar": "core/workflow/template/httpRequest",
|
||||
"flowNodeType": "httpRequest468",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
@@ -91,7 +91,7 @@
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.HTTP Dynamic Input",
|
||||
"description": "common:core.module.input.description.HTTP Dynamic Input",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
@@ -102,6 +102,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -111,7 +112,9 @@
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
@@ -119,17 +122,33 @@
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"value": "POST",
|
||||
"required": true
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpTimeout",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "number",
|
||||
"label": "",
|
||||
"value": 30,
|
||||
"min": 5,
|
||||
"max": 600,
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"description": "common:core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"value": "duckduckgo/searchVideo"
|
||||
"value": "duckduckgo/searchVideo",
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
@@ -137,9 +156,11 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false
|
||||
"description": "common:core.module.input.description.Http Request Header",
|
||||
"placeholder": "common:core.module.input.description.Http Request Header",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpParams",
|
||||
@@ -147,7 +168,9 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpJsonBody",
|
||||
@@ -155,7 +178,29 @@
|
||||
"valueType": "any",
|
||||
"value": "{\n \"query\": \"{{query}}\"\n}",
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpFormBody",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpContentType",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"value": "json",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
@@ -173,6 +218,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -188,6 +234,23 @@
|
||||
}
|
||||
],
|
||||
"outputs": [
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "workflow:request_error",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"required": true,
|
||||
"label": "workflow:raw_response",
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "system_addOutputParam",
|
||||
"key": "system_addOutputParam",
|
||||
@@ -215,23 +278,6 @@
|
||||
"showDefaultValue": false
|
||||
}
|
||||
},
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "请求错误",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"label": "原始响应",
|
||||
"required": true,
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
},
|
||||
{
|
||||
"id": "lEyy5QqyIBrK",
|
||||
"valueType": "string",
|
||||
@@ -240,6 +286,20 @@
|
||||
"label": "result"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"nodeId": "iyF6yGGXuyWn",
|
||||
"name": "系统配置",
|
||||
"intro": "",
|
||||
"avatar": "core/workflow/template/systemConfig",
|
||||
"flowNodeType": "pluginConfig",
|
||||
"position": {
|
||||
"x": -8.638252966148258,
|
||||
"y": -103.56127656499825
|
||||
},
|
||||
"version": "4811",
|
||||
"inputs": [],
|
||||
"outputs": []
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
|
||||
@@ -15,14 +15,14 @@
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "pluginInput",
|
||||
"name": "自定义插件输入",
|
||||
"name": "插件开始",
|
||||
"intro": "可以配置插件需要哪些输入,利用这些输入来运行插件",
|
||||
"avatar": "core/workflow/template/workflowStart",
|
||||
"flowNodeType": "pluginInput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 156.37657136084977,
|
||||
"y": 90.73380846709256
|
||||
"x": 194.3171058153904,
|
||||
"y": 125.65095361549629
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -68,14 +68,14 @@
|
||||
},
|
||||
{
|
||||
"nodeId": "pluginOutput",
|
||||
"name": "自定义插件输出",
|
||||
"name": "插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "core/workflow/template/pluginOutput",
|
||||
"flowNodeType": "pluginOutput",
|
||||
"showStatus": false,
|
||||
"position": {
|
||||
"x": 2110.7223589692912,
|
||||
"y": 120.17602722162474
|
||||
"x": 2128.4279417147436,
|
||||
"y": 170.6509536154963
|
||||
},
|
||||
"version": "481",
|
||||
"inputs": [
|
||||
@@ -110,7 +110,7 @@
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "core.module.input.description.HTTP Dynamic Input",
|
||||
"description": "common:core.module.input.description.HTTP Dynamic Input",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
@@ -121,6 +121,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -130,7 +131,9 @@
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpMethod",
|
||||
@@ -138,17 +141,33 @@
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"value": "POST",
|
||||
"required": true
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpTimeout",
|
||||
"renderTypeList": ["custom"],
|
||||
"valueType": "number",
|
||||
"label": "",
|
||||
"value": 30,
|
||||
"min": 5,
|
||||
"max": 600,
|
||||
"required": true,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpReqUrl",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Url",
|
||||
"description": "common:core.module.input.description.Http Request Url",
|
||||
"placeholder": "https://api.ai.com/getInventory",
|
||||
"required": false,
|
||||
"value": "{{url}}"
|
||||
"value": "{{url}}",
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpHeader",
|
||||
@@ -156,9 +175,11 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"description": "core.module.input.description.Http Request Header",
|
||||
"placeholder": "core.module.input.description.Http Request Header",
|
||||
"required": false
|
||||
"description": "common:core.module.input.description.Http Request Header",
|
||||
"placeholder": "common:core.module.input.description.Http Request Header",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpParams",
|
||||
@@ -166,7 +187,9 @@
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpJsonBody",
|
||||
@@ -174,7 +197,29 @@
|
||||
"valueType": "any",
|
||||
"value": "{{content}}",
|
||||
"label": "",
|
||||
"required": false
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpFormBody",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "any",
|
||||
"value": [],
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "system_httpContentType",
|
||||
"renderTypeList": ["hidden"],
|
||||
"valueType": "string",
|
||||
"value": "json",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
@@ -192,6 +237,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -221,6 +267,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -239,7 +286,7 @@
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "请求错误",
|
||||
"label": "workflow:request_error",
|
||||
"description": "HTTP请求错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
@@ -247,8 +294,8 @@
|
||||
{
|
||||
"id": "httpRawResponse",
|
||||
"key": "httpRawResponse",
|
||||
"label": "原始响应",
|
||||
"required": true,
|
||||
"label": "workflow:raw_response",
|
||||
"description": "HTTP请求的原始响应。只能接受字符串或JSON类型响应数据。",
|
||||
"valueType": "any",
|
||||
"type": "static"
|
||||
@@ -290,8 +337,8 @@
|
||||
"flowNodeType": "code",
|
||||
"showStatus": true,
|
||||
"position": {
|
||||
"x": 805.8169457909617,
|
||||
"y": -159.52218926716316
|
||||
"x": 833.6400043909581,
|
||||
"y": -127.34904638450371
|
||||
},
|
||||
"version": "482",
|
||||
"inputs": [
|
||||
@@ -301,7 +348,7 @@
|
||||
"valueType": "dynamic",
|
||||
"label": "",
|
||||
"required": false,
|
||||
"description": "这些变量会作为代码的运行的输入参数",
|
||||
"description": "workflow:these_variables_will_be_input_parameters_for_code_execution",
|
||||
"customInputConfig": {
|
||||
"selectValueTypeList": [
|
||||
"string",
|
||||
@@ -312,6 +359,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -321,19 +369,25 @@
|
||||
],
|
||||
"showDescription": false,
|
||||
"showDefaultValue": true
|
||||
}
|
||||
},
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "codeType",
|
||||
"renderTypeList": ["hidden"],
|
||||
"label": "",
|
||||
"value": "js"
|
||||
"value": "js",
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"key": "code",
|
||||
"renderTypeList": ["custom"],
|
||||
"label": "",
|
||||
"value": "function main({data1}){\n try{\n const parseData = JSON.parse(data1)\n if(typeof parseData === 'object') {\n return parseData\n }\n return {\n \"msg_type\": \"text\",\n content: {\n \"text\": data1\n }\n }\n } catch(err) {\n return {\n \"msg_type\": \"text\",\n content: {\n \"text\": data1\n }\n }\n }\n}"
|
||||
"value": "function main({data1}){\n try{\n const parseData = JSON.parse(data1)\n if(typeof parseData === 'object') {\n return parseData\n }\n return {\n \"msg_type\": \"text\",\n content: {\n \"text\": data1\n }\n }\n } catch(err) {\n return {\n \"msg_type\": \"text\",\n content: {\n \"text\": data1\n }\n }\n }\n}",
|
||||
"debugLabel": "",
|
||||
"toolDescription": ""
|
||||
},
|
||||
{
|
||||
"renderTypeList": ["reference"],
|
||||
@@ -351,6 +405,7 @@
|
||||
"arrayNumber",
|
||||
"arrayBoolean",
|
||||
"arrayObject",
|
||||
"arrayAny",
|
||||
"any",
|
||||
"chatHistory",
|
||||
"datasetQuote",
|
||||
@@ -369,14 +424,15 @@
|
||||
{
|
||||
"id": "system_rawResponse",
|
||||
"key": "system_rawResponse",
|
||||
"label": "完整响应数据",
|
||||
"label": "workflow:full_response_data",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
"type": "static",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"id": "error",
|
||||
"key": "error",
|
||||
"label": "运行错误",
|
||||
"label": "workflow:execution_error",
|
||||
"description": "代码运行错误信息,成功时返回空",
|
||||
"valueType": "object",
|
||||
"type": "static"
|
||||
@@ -417,6 +473,20 @@
|
||||
"label": "content"
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"nodeId": "xDvVyZbQIrPg",
|
||||
"name": "系统配置",
|
||||
"intro": "",
|
||||
"avatar": "core/workflow/template/systemConfig",
|
||||
"flowNodeType": "pluginConfig",
|
||||
"position": {
|
||||
"x": -272.2181157945658,
|
||||
"y": 125.65095361549629
|
||||
},
|
||||
"version": "4811",
|
||||
"inputs": [],
|
||||
"outputs": []
|
||||
}
|
||||
],
|
||||
"edges": [
|
||||
|
||||
@@ -14,7 +14,7 @@
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "lmpb9v2lo2lk",
|
||||
"name": "自定义插件输入",
|
||||
"name": "插件开始",
|
||||
"intro": "自定义配置外部输入,使用插件时,仅暴露自定义配置的输入",
|
||||
"avatar": "/imgs/workflow/input.png",
|
||||
"flowNodeType": "pluginInput",
|
||||
@@ -48,7 +48,7 @@
|
||||
},
|
||||
{
|
||||
"nodeId": "i7uow4wj2wdp",
|
||||
"name": "自定义插件输出",
|
||||
"name": "插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "/imgs/workflow/output.png",
|
||||
"flowNodeType": "pluginOutput",
|
||||
|
||||
@@ -12,7 +12,7 @@
|
||||
"nodes": [
|
||||
{
|
||||
"nodeId": "lmpb9v2lo2lk",
|
||||
"name": "自定义插件输入",
|
||||
"name": "插件开始",
|
||||
"intro": "自定义配置外部输入,使用插件时,仅暴露自定义配置的输入",
|
||||
"avatar": "/imgs/workflow/input.png",
|
||||
"flowNodeType": "pluginInput",
|
||||
@@ -27,7 +27,7 @@
|
||||
},
|
||||
{
|
||||
"nodeId": "i7uow4wj2wdp",
|
||||
"name": "自定义插件输出",
|
||||
"name": "插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "/imgs/workflow/output.png",
|
||||
"flowNodeType": "pluginOutput",
|
||||
|
||||
@@ -48,7 +48,7 @@
|
||||
},
|
||||
{
|
||||
"nodeId": "sowtxkCPjvb7",
|
||||
"name": "自定义插件输出",
|
||||
"name": "插件输出",
|
||||
"intro": "自定义配置外部输出,使用插件时,仅暴露自定义配置的输出",
|
||||
"avatar": "/imgs/workflow/output.png",
|
||||
"flowNodeType": "pluginOutput",
|
||||
|
||||
@@ -14,6 +14,7 @@ export const cheerioToHtml = ({
|
||||
}) => {
|
||||
// get origin url
|
||||
const originUrl = new URL(fetchUrl).origin;
|
||||
const protocol = new URL(fetchUrl).protocol; // http: or https:
|
||||
|
||||
const usedSelector = selector || 'body';
|
||||
const selectDom = $(usedSelector);
|
||||
@@ -32,14 +33,22 @@ export const cheerioToHtml = ({
|
||||
// if link,img startWith /, add origin url
|
||||
selectDom.find('a').each((i, el) => {
|
||||
const href = $(el).attr('href');
|
||||
if (href && href.startsWith('/')) {
|
||||
$(el).attr('href', originUrl + href);
|
||||
if (href) {
|
||||
if (href.startsWith('//')) {
|
||||
$(el).attr('href', protocol + href);
|
||||
} else if (href.startsWith('/')) {
|
||||
$(el).attr('href', originUrl + href);
|
||||
}
|
||||
}
|
||||
});
|
||||
selectDom.find('img').each((i, el) => {
|
||||
const src = $(el).attr('src');
|
||||
if (src && src.startsWith('/')) {
|
||||
$(el).attr('src', originUrl + src);
|
||||
if (src) {
|
||||
if (src.startsWith('//')) {
|
||||
$(el).attr('src', protocol + src);
|
||||
} else if (src.startsWith('/')) {
|
||||
$(el).attr('src', originUrl + src);
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
|
||||
@@ -2,8 +2,13 @@ import type { ChatCompletionMessageParam } from '@fastgpt/global/core/ai/type.d'
|
||||
import { getAIApi } from '../config';
|
||||
import { countGptMessagesTokens } from '../../../common/string/tiktoken/index';
|
||||
import { loadRequestMessages } from '../../chat/utils';
|
||||
import { llmCompletionsBodyFormat } from '../utils';
|
||||
|
||||
export const Prompt_QuestionGuide = `你是一个AI智能助手,可以回答和解决我的问题。请结合前面的对话记录,帮我生成 3 个问题,引导我继续提问,生成问题的语言要与原问题相同。问题的长度应小于20个字符,按 JSON 格式返回: ["问题1", "问题2", "问题3"]`;
|
||||
export const Prompt_QuestionGuide = `你是一个AI智能助手,你的任务是结合对话记录,推测我下一步的问题。
|
||||
你需要生成 3 个可能的问题,引导我继续提问,生成的问题要求:
|
||||
1. 生成问题的语言,与最后一个用户提问语言一致。
|
||||
2. 问题的长度应小于20个字符。
|
||||
3. 按 JSON 格式返回: ["question1", "question2", "question3"]。`;
|
||||
|
||||
export async function createQuestionGuide({
|
||||
messages,
|
||||
@@ -23,16 +28,21 @@ export async function createQuestionGuide({
|
||||
const ai = getAIApi({
|
||||
timeout: 480000
|
||||
});
|
||||
const data = await ai.chat.completions.create({
|
||||
model: model,
|
||||
temperature: 0.1,
|
||||
max_tokens: 200,
|
||||
messages: await loadRequestMessages({
|
||||
messages: concatMessages,
|
||||
useVision: false
|
||||
}),
|
||||
stream: false
|
||||
});
|
||||
const data = await ai.chat.completions.create(
|
||||
llmCompletionsBodyFormat(
|
||||
{
|
||||
model,
|
||||
temperature: 0.1,
|
||||
max_tokens: 200,
|
||||
messages: await loadRequestMessages({
|
||||
messages: concatMessages,
|
||||
useVision: false
|
||||
}),
|
||||
stream: false
|
||||
},
|
||||
model
|
||||
)
|
||||
);
|
||||
|
||||
const answer = data.choices?.[0]?.message?.content || '';
|
||||
|
||||
|
||||
@@ -2,15 +2,20 @@ import { replaceVariable } from '@fastgpt/global/common/string/tools';
|
||||
import { getAIApi } from '../config';
|
||||
import { ChatItemType } from '@fastgpt/global/core/chat/type';
|
||||
import { countGptMessagesTokens } from '../../../common/string/tiktoken/index';
|
||||
import { ChatCompletionMessageParam } from '@fastgpt/global/core/ai/type';
|
||||
import { ChatCompletion, ChatCompletionMessageParam } from '@fastgpt/global/core/ai/type';
|
||||
import { chatValue2RuntimePrompt } from '@fastgpt/global/core/chat/adapt';
|
||||
import { getLLMModel } from '../model';
|
||||
import { llmCompletionsBodyFormat } from '../utils';
|
||||
|
||||
/*
|
||||
query extension - 问题扩展
|
||||
可以根据上下文,消除指代性问题以及扩展问题,利于检索。
|
||||
*/
|
||||
|
||||
const defaultPrompt = `作为一个向量检索助手,你的任务是结合历史记录,从不同角度,为“原问题”生成个不同版本的“检索词”,从而提高向量检索的语义丰富度,提高向量检索的精度。生成的问题要求指向对象清晰明确,并与“原问题语言相同”。
|
||||
const title = global.feConfigs?.systemTitle || 'FastAI';
|
||||
const defaultPrompt = `作为一个向量检索助手,你的任务是结合历史记录,从不同角度,为“原问题”生成个不同版本的“检索词”,从而提高向量检索的语义丰富度,提高向量检索的精度。
|
||||
生成的问题要求指向对象清晰明确,并与“原问题语言相同”。
|
||||
|
||||
参考 <Example></Example> 标中的示例来完成任务。
|
||||
|
||||
<Example>
|
||||
@@ -49,49 +54,50 @@ A: 护产假的天数根据员工所在的城市而定。请提供您所在的
|
||||
历史记录:
|
||||
"""
|
||||
Q: 作者是谁?
|
||||
A: FastGPT 的作者是 labring。
|
||||
A: ${title} 的作者是 labring。
|
||||
"""
|
||||
原问题: Tell me about him
|
||||
检索词: ["Introduce labring, the author of FastGPT." ," Background information on author labring." "," Why does labring do FastGPT?"]
|
||||
检索词: ["Introduce labring, the author of ${title}." ," Background information on author labring." "," Why does labring do ${title}?"]
|
||||
----------------
|
||||
历史记录:
|
||||
"""
|
||||
Q: 对话背景。
|
||||
A: 关于 FatGPT 的介绍和使用等问题。
|
||||
A: 关于 ${title} 的介绍和使用等问题。
|
||||
"""
|
||||
原问题: 你好。
|
||||
检索词: ["你好"]
|
||||
----------------
|
||||
历史记录:
|
||||
"""
|
||||
Q: FastGPT 如何收费?
|
||||
A: FastGPT 收费可以参考……
|
||||
Q: ${title} 如何收费?
|
||||
A: ${title} 收费可以参考……
|
||||
"""
|
||||
原问题: 你知道 laf 么?
|
||||
检索词: ["laf 的官网地址是多少?","laf 的使用教程。","laf 有什么特点和优势。"]
|
||||
----------------
|
||||
历史记录:
|
||||
"""
|
||||
Q: FastGPT 的优势
|
||||
Q: ${title} 的优势
|
||||
A: 1. 开源
|
||||
2. 简便
|
||||
3. 扩展性强
|
||||
"""
|
||||
原问题: 介绍下第2点。
|
||||
检索词: ["介绍下 FastGPT 简便的优势", "从哪些方面,可以体现出 FastGPT 的简便"]。
|
||||
检索词: ["介绍下 ${title} 简便的优势", "从哪些方面,可以体现出 ${title} 的简便"]。
|
||||
----------------
|
||||
历史记录:
|
||||
"""
|
||||
Q: 什么是 FastGPT?
|
||||
A: FastGPT 是一个 RAG 平台。
|
||||
Q: 什么是 ${title}?
|
||||
A: ${title} 是一个 RAG 平台。
|
||||
Q: 什么是 Laf?
|
||||
A: Laf 是一个云函数开发平台。
|
||||
"""
|
||||
原问题: 它们有什么关系?
|
||||
检索词: ["FastGPT和Laf有什么关系?","介绍下FastGPT","介绍下Laf"]
|
||||
检索词: ["${title}和Laf有什么关系?","介绍下${title}","介绍下Laf"]
|
||||
</Example>
|
||||
|
||||
----------------
|
||||
-----
|
||||
|
||||
下面是正式的任务:
|
||||
|
||||
历史记录:
|
||||
@@ -130,6 +136,8 @@ A: ${chatBg}
|
||||
.join('\n');
|
||||
const concatFewShot = `${systemFewShot}${historyFewShot}`.trim();
|
||||
|
||||
const modelData = getLLMModel(model);
|
||||
|
||||
const ai = getAIApi({
|
||||
timeout: 480000
|
||||
});
|
||||
@@ -143,13 +151,19 @@ A: ${chatBg}
|
||||
})
|
||||
}
|
||||
] as ChatCompletionMessageParam[];
|
||||
const result = await ai.chat.completions.create({
|
||||
model: model,
|
||||
temperature: 0.01,
|
||||
// @ts-ignore
|
||||
messages,
|
||||
stream: false
|
||||
});
|
||||
|
||||
const result = (await ai.chat.completions.create(
|
||||
llmCompletionsBodyFormat(
|
||||
{
|
||||
stream: false,
|
||||
model: modelData.model,
|
||||
temperature: 0.01,
|
||||
// @ts-ignore
|
||||
messages
|
||||
},
|
||||
modelData
|
||||
)
|
||||
)) as ChatCompletion;
|
||||
|
||||
let answer = result.choices?.[0]?.message?.content || '';
|
||||
if (!answer) {
|
||||
@@ -161,6 +175,8 @@ A: ${chatBg}
|
||||
};
|
||||
}
|
||||
|
||||
// Intercept the content of [] and retain []
|
||||
answer = answer.match(/\[.*?\]/)?.[0] || '';
|
||||
answer = answer.replace(/\\"/g, '"');
|
||||
|
||||
try {
|
||||
|
||||
@@ -1,6 +1,11 @@
|
||||
import { LLMModelItemType } from '@fastgpt/global/core/ai/model.d';
|
||||
import { ChatCompletionMessageParam } from '@fastgpt/global/core/ai/type';
|
||||
import {
|
||||
ChatCompletionCreateParamsNonStreaming,
|
||||
ChatCompletionCreateParamsStreaming,
|
||||
ChatCompletionMessageParam
|
||||
} from '@fastgpt/global/core/ai/type';
|
||||
import { countGptMessagesTokens } from '../../common/string/tiktoken';
|
||||
import { getLLMModel } from './model';
|
||||
|
||||
export const computedMaxToken = async ({
|
||||
maxToken,
|
||||
@@ -32,8 +37,49 @@ export const computedTemperature = ({
|
||||
model: LLMModelItemType;
|
||||
temperature: number;
|
||||
}) => {
|
||||
if (temperature < 1) return temperature;
|
||||
|
||||
temperature = +(model.maxTemperature * (temperature / 10)).toFixed(2);
|
||||
temperature = Math.max(temperature, 0.01);
|
||||
|
||||
return temperature;
|
||||
};
|
||||
|
||||
type CompletionsBodyType =
|
||||
| ChatCompletionCreateParamsNonStreaming
|
||||
| ChatCompletionCreateParamsStreaming;
|
||||
|
||||
export const llmCompletionsBodyFormat = <T extends CompletionsBodyType>(
|
||||
body: T,
|
||||
model: string | LLMModelItemType
|
||||
) => {
|
||||
const modelData = typeof model === 'string' ? getLLMModel(model) : model;
|
||||
if (!modelData) {
|
||||
return body;
|
||||
}
|
||||
|
||||
const requestBody: T = {
|
||||
...body,
|
||||
temperature: body.temperature
|
||||
? computedTemperature({
|
||||
model: modelData,
|
||||
temperature: body.temperature
|
||||
})
|
||||
: undefined,
|
||||
...modelData?.defaultConfig
|
||||
};
|
||||
|
||||
// field map
|
||||
if (modelData.fieldMap) {
|
||||
Object.entries(modelData.fieldMap).forEach(([sourceKey, targetKey]) => {
|
||||
// @ts-ignore
|
||||
requestBody[targetKey] = body[sourceKey];
|
||||
// @ts-ignore
|
||||
delete requestBody[sourceKey];
|
||||
});
|
||||
}
|
||||
|
||||
// console.log(requestBody);
|
||||
|
||||
return requestBody;
|
||||
};
|
||||
|
||||
@@ -34,7 +34,7 @@ export async function splitCombinePluginId(id: string) {
|
||||
return { source, pluginId: id };
|
||||
}
|
||||
|
||||
const getPluginTemplateById = async (
|
||||
const getChildAppTemplateById = async (
|
||||
id: string
|
||||
): Promise<SystemPluginTemplateItemType & { teamId?: string }> => {
|
||||
const { source, pluginId } = await splitCombinePluginId(id);
|
||||
@@ -69,44 +69,48 @@ const getPluginTemplateById = async (
|
||||
};
|
||||
|
||||
/* format plugin modules to plugin preview module */
|
||||
export async function getPluginPreviewNode({ id }: { id: string }): Promise<FlowNodeTemplateType> {
|
||||
const plugin = await getPluginTemplateById(id);
|
||||
const isPlugin = !!plugin.workflow.nodes.find(
|
||||
export async function getChildAppPreviewNode({
|
||||
id
|
||||
}: {
|
||||
id: string;
|
||||
}): Promise<FlowNodeTemplateType> {
|
||||
const app = await getChildAppTemplateById(id);
|
||||
const isPlugin = !!app.workflow.nodes.find(
|
||||
(node) => node.flowNodeType === FlowNodeTypeEnum.pluginInput
|
||||
);
|
||||
|
||||
return {
|
||||
id: getNanoid(),
|
||||
pluginId: plugin.id,
|
||||
templateType: plugin.templateType,
|
||||
pluginId: app.id,
|
||||
templateType: app.templateType,
|
||||
flowNodeType: isPlugin ? FlowNodeTypeEnum.pluginModule : FlowNodeTypeEnum.appModule,
|
||||
avatar: plugin.avatar,
|
||||
name: plugin.name,
|
||||
intro: plugin.intro,
|
||||
inputExplanationUrl: plugin.inputExplanationUrl,
|
||||
showStatus: plugin.showStatus,
|
||||
isTool: isPlugin,
|
||||
version: plugin.version,
|
||||
avatar: app.avatar,
|
||||
name: app.name,
|
||||
intro: app.intro,
|
||||
inputExplanationUrl: app.inputExplanationUrl,
|
||||
showStatus: app.showStatus,
|
||||
isTool: true,
|
||||
version: app.version,
|
||||
sourceHandle: getHandleConfig(true, true, true, true),
|
||||
targetHandle: getHandleConfig(true, true, true, true),
|
||||
...(isPlugin
|
||||
? pluginData2FlowNodeIO({ nodes: plugin.workflow.nodes })
|
||||
: appData2FlowNodeIO({ chatConfig: plugin.workflow.chatConfig }))
|
||||
? pluginData2FlowNodeIO({ nodes: app.workflow.nodes })
|
||||
: appData2FlowNodeIO({ chatConfig: app.workflow.chatConfig }))
|
||||
};
|
||||
}
|
||||
|
||||
/* run plugin time */
|
||||
export async function getPluginRuntimeById(id: string): Promise<PluginRuntimeType> {
|
||||
const plugin = await getPluginTemplateById(id);
|
||||
export async function getChildAppRuntimeById(id: string): Promise<PluginRuntimeType> {
|
||||
const app = await getChildAppTemplateById(id);
|
||||
|
||||
return {
|
||||
id: plugin.id,
|
||||
teamId: plugin.teamId,
|
||||
name: plugin.name,
|
||||
avatar: plugin.avatar,
|
||||
showStatus: plugin.showStatus,
|
||||
currentCost: plugin.currentCost,
|
||||
nodes: plugin.workflow.nodes,
|
||||
edges: plugin.workflow.edges
|
||||
id: app.id,
|
||||
teamId: app.teamId,
|
||||
name: app.name,
|
||||
avatar: app.avatar,
|
||||
showStatus: app.showStatus,
|
||||
currentCost: app.currentCost,
|
||||
nodes: app.workflow.nodes,
|
||||
edges: app.workflow.edges
|
||||
};
|
||||
}
|
||||
|
||||
@@ -13,6 +13,7 @@ export const computedPluginUsage = async (
|
||||
) => {
|
||||
const { source } = await splitCombinePluginId(plugin.id);
|
||||
|
||||
// Commercial plugin: n points per times
|
||||
if (source === PluginSourceEnum.commercial) {
|
||||
return plugin.currentCost ?? 0;
|
||||
}
|
||||
|
||||
@@ -9,23 +9,24 @@ import { MongoChat } from './chatSchema';
|
||||
export async function getChatItems({
|
||||
appId,
|
||||
chatId,
|
||||
limit = 30,
|
||||
offset,
|
||||
limit,
|
||||
field
|
||||
}: {
|
||||
appId: string;
|
||||
chatId?: string;
|
||||
limit?: number;
|
||||
offset: number;
|
||||
limit: number;
|
||||
field: string;
|
||||
}): Promise<{ histories: ChatItemType[] }> {
|
||||
}): Promise<{ histories: ChatItemType[]; total: number }> {
|
||||
if (!chatId) {
|
||||
return { histories: [] };
|
||||
return { histories: [], total: 0 };
|
||||
}
|
||||
|
||||
const histories = await MongoChatItem.find({ appId, chatId }, field)
|
||||
.sort({ _id: -1 })
|
||||
.limit(limit)
|
||||
.lean();
|
||||
|
||||
const [histories, total] = await Promise.all([
|
||||
MongoChatItem.find({ chatId, appId }, field).sort({ _id: -1 }).skip(offset).limit(limit).lean(),
|
||||
MongoChatItem.countDocuments({ chatId, appId })
|
||||
]);
|
||||
histories.reverse();
|
||||
|
||||
histories.forEach((item) => {
|
||||
@@ -33,7 +34,7 @@ export async function getChatItems({
|
||||
item.value = adaptStringValue(item.value);
|
||||
});
|
||||
|
||||
return { histories };
|
||||
return { histories, total };
|
||||
}
|
||||
|
||||
/* Temporary adaptation for old conversation records */
|
||||
|
||||
@@ -121,7 +121,7 @@ export const updateInteractiveChat = async ({
|
||||
appId,
|
||||
teamId,
|
||||
tmbId,
|
||||
userSelectedVal,
|
||||
userInteractiveVal,
|
||||
aiResponse,
|
||||
newVariables,
|
||||
newTitle
|
||||
@@ -130,7 +130,7 @@ export const updateInteractiveChat = async ({
|
||||
appId: string;
|
||||
teamId: string;
|
||||
tmbId: string;
|
||||
userSelectedVal: string;
|
||||
userInteractiveVal: string;
|
||||
aiResponse: AIChatItemType & { dataId?: string };
|
||||
newVariables?: Record<string, any>;
|
||||
newTitle: string;
|
||||
@@ -153,13 +153,38 @@ export const updateInteractiveChat = async ({
|
||||
return;
|
||||
}
|
||||
|
||||
interactiveValue.interactive = {
|
||||
...interactiveValue.interactive,
|
||||
params: {
|
||||
...interactiveValue.interactive.params,
|
||||
userSelectedVal
|
||||
const parsedUserInteractiveVal = (() => {
|
||||
try {
|
||||
return JSON.parse(userInteractiveVal);
|
||||
} catch (err) {
|
||||
return userInteractiveVal;
|
||||
}
|
||||
};
|
||||
})();
|
||||
interactiveValue.interactive =
|
||||
interactiveValue.interactive.type === 'userSelect'
|
||||
? {
|
||||
...interactiveValue.interactive,
|
||||
params: {
|
||||
...interactiveValue.interactive.params,
|
||||
userSelectedVal: userInteractiveVal
|
||||
}
|
||||
}
|
||||
: {
|
||||
...interactiveValue.interactive,
|
||||
params: {
|
||||
...interactiveValue.interactive.params,
|
||||
inputForm: interactiveValue.interactive.params.inputForm.map((item) => {
|
||||
const itemValue = parsedUserInteractiveVal[item.label];
|
||||
return itemValue !== undefined
|
||||
? {
|
||||
...item,
|
||||
value: itemValue
|
||||
}
|
||||
: item;
|
||||
}),
|
||||
submitted: true
|
||||
}
|
||||
};
|
||||
|
||||
if (aiResponse.customFeedbacks) {
|
||||
chatItem.customFeedbacks = chatItem.customFeedbacks
|
||||
|
||||
@@ -8,6 +8,8 @@ import axios from 'axios';
|
||||
import { ChatCompletionRequestMessageRoleEnum } from '@fastgpt/global/core/ai/constants';
|
||||
import { getFileContentTypeFromHeader, guessBase64ImageType } from '../../common/file/utils';
|
||||
import { serverRequestBaseUrl } from '../../common/api/serverRequest';
|
||||
import { i18nT } from '../../../web/i18n/utils';
|
||||
import { addLog } from '../../common/system/log';
|
||||
|
||||
/* slice chat context by tokens */
|
||||
const filterEmptyMessages = (messages: ChatCompletionMessageParam[]) => {
|
||||
@@ -111,20 +113,62 @@ export const loadRequestMessages = async ({
|
||||
useVision?: boolean;
|
||||
origin?: string;
|
||||
}) => {
|
||||
// Load image to base64
|
||||
const loadImageToBase64 = async (messages: ChatCompletionContentPart[]) => {
|
||||
return Promise.all(
|
||||
messages.map(async (item) => {
|
||||
if (item.type === 'image_url') {
|
||||
// Remove url origin
|
||||
const imgUrl = (() => {
|
||||
if (origin && item.image_url.url.startsWith(origin)) {
|
||||
return item.image_url.url.replace(origin, '');
|
||||
}
|
||||
return item.image_url.url;
|
||||
})();
|
||||
|
||||
// If imgUrl is a local path, load image from local, and set url to base64
|
||||
if (imgUrl.startsWith('/') || process.env.VISION_FOCUS_BASE64 === 'true') {
|
||||
addLog.debug('Load image from local server', {
|
||||
baseUrl: serverRequestBaseUrl,
|
||||
requestUrl: imgUrl
|
||||
});
|
||||
const response = await axios.get(imgUrl, {
|
||||
baseURL: serverRequestBaseUrl,
|
||||
responseType: 'arraybuffer',
|
||||
proxy: false
|
||||
});
|
||||
const base64 = Buffer.from(response.data, 'binary').toString('base64');
|
||||
const imageType =
|
||||
getFileContentTypeFromHeader(response.headers['content-type']) ||
|
||||
guessBase64ImageType(base64);
|
||||
|
||||
return {
|
||||
...item,
|
||||
image_url: {
|
||||
...item.image_url,
|
||||
url: `data:${imageType};base64,${base64}`
|
||||
}
|
||||
};
|
||||
}
|
||||
}
|
||||
return item;
|
||||
})
|
||||
);
|
||||
};
|
||||
// Split question text and image
|
||||
function parseStringWithImages(input: string): ChatCompletionContentPart[] {
|
||||
const parseStringWithImages = (input: string): ChatCompletionContentPart[] => {
|
||||
if (!useVision) {
|
||||
return [{ type: 'text', text: input || '' }];
|
||||
}
|
||||
|
||||
// 正则表达式匹配图片URL
|
||||
const imageRegex =
|
||||
/(https?:\/\/[^\s/$.?#].[^\s]*\.(?:png|jpe?g|gif|webp|bmp|tiff?|svg|ico|heic|avif))/i;
|
||||
/(https?:\/\/[^\s/$.?#].[^\s]*\.(?:png|jpe?g|gif|webp|bmp|tiff?|svg|ico|heic|avif))/gi;
|
||||
|
||||
const result: ChatCompletionContentPart[] = [];
|
||||
|
||||
// 提取所有HTTPS图片URL并添加到result开头
|
||||
const httpsImages = input.match(imageRegex) || [];
|
||||
const httpsImages = [...new Set(Array.from(input.matchAll(imageRegex), (m) => m[0]))];
|
||||
httpsImages.forEach((url) => {
|
||||
result.push({
|
||||
type: 'image_url',
|
||||
@@ -134,57 +178,35 @@ export const loadRequestMessages = async ({
|
||||
});
|
||||
});
|
||||
|
||||
// Too many images or too long text, return text
|
||||
if (httpsImages.length > 4 || input.length > 1000) {
|
||||
return [{ type: 'text', text: input || '' }];
|
||||
}
|
||||
|
||||
// 添加原始input作为文本
|
||||
result.push({ type: 'text', text: input });
|
||||
return result;
|
||||
}
|
||||
// Load image
|
||||
};
|
||||
// Parse user content(text and img)
|
||||
const parseUserContent = async (content: string | ChatCompletionContentPart[]) => {
|
||||
if (typeof content === 'string') {
|
||||
return parseStringWithImages(content);
|
||||
return loadImageToBase64(parseStringWithImages(content));
|
||||
}
|
||||
|
||||
const result = await Promise.all(
|
||||
content.map(async (item) => {
|
||||
if (item.type === 'text') return parseStringWithImages(item.text);
|
||||
if (item.type === 'file_url') return;
|
||||
if (item.type === 'file_url') return; // LLM not support file_url
|
||||
|
||||
if (!item.image_url.url) return item;
|
||||
|
||||
// Remove url origin
|
||||
const imgUrl = (() => {
|
||||
if (origin && item.image_url.url.startsWith(origin)) {
|
||||
return item.image_url.url.replace(origin, '');
|
||||
}
|
||||
return item.image_url.url;
|
||||
})();
|
||||
|
||||
/* Load local image */
|
||||
if (imgUrl.startsWith('/')) {
|
||||
const response = await axios.get(imgUrl, {
|
||||
baseURL: serverRequestBaseUrl,
|
||||
responseType: 'arraybuffer'
|
||||
});
|
||||
const base64 = Buffer.from(response.data, 'binary').toString('base64');
|
||||
const imageType =
|
||||
getFileContentTypeFromHeader(response.headers['content-type']) ||
|
||||
guessBase64ImageType(base64);
|
||||
|
||||
return {
|
||||
...item,
|
||||
image_url: {
|
||||
...item.image_url,
|
||||
url: `data:${imageType};base64,${base64}`
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
return item;
|
||||
})
|
||||
);
|
||||
|
||||
return result.flat().filter(Boolean);
|
||||
return loadImageToBase64(result.flat().filter(Boolean) as ChatCompletionContentPart[]);
|
||||
};
|
||||
|
||||
// format GPT messages, concat text messages
|
||||
const clearInvalidMessages = (messages: ChatCompletionMessageParam[]) => {
|
||||
return messages
|
||||
@@ -247,7 +269,7 @@ export const loadRequestMessages = async ({
|
||||
};
|
||||
|
||||
if (messages.length === 0) {
|
||||
return Promise.reject('core.chat.error.Messages empty');
|
||||
return Promise.reject(i18nT('common:core.chat.error.Messages empty'));
|
||||
}
|
||||
|
||||
// filter messages file
|
||||
@@ -275,6 +297,7 @@ export const loadRequestMessages = async ({
|
||||
content: await parseUserContent(item.content)
|
||||
};
|
||||
} else if (item.role === ChatCompletionRequestMessageRoleEnum.Assistant) {
|
||||
// remove invalid field
|
||||
return {
|
||||
role: item.role,
|
||||
content: item.content,
|
||||
|
||||
@@ -45,7 +45,10 @@ export async function createOneCollection({
|
||||
[key: string]: any;
|
||||
session?: ClientSession;
|
||||
}) {
|
||||
// Create collection tags
|
||||
const collectionTags = await createOrGetCollectionTags({ tags, teamId, datasetId, session });
|
||||
|
||||
// Create collection
|
||||
const [collection] = await MongoDatasetCollection.create(
|
||||
[
|
||||
{
|
||||
|
||||
@@ -111,6 +111,17 @@ try {
|
||||
DatasetCollectionSchema.index({ teamId: 1, datasetId: 1, tags: 1 });
|
||||
// create time filter
|
||||
DatasetCollectionSchema.index({ teamId: 1, datasetId: 1, createTime: 1 });
|
||||
|
||||
// Get collection by external file id
|
||||
DatasetCollectionSchema.index(
|
||||
{ datasetId: 1, externalFileId: 1 },
|
||||
{
|
||||
unique: true,
|
||||
partialFilterExpression: {
|
||||
externalFileId: { $exists: true }
|
||||
}
|
||||
}
|
||||
);
|
||||
} catch (error) {
|
||||
console.log(error);
|
||||
}
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
import type { CollectionWithDatasetType } from '@fastgpt/global/core/dataset/type.d';
|
||||
import { MongoDatasetCollection } from './schema';
|
||||
import type { ParentTreePathItemType } from '@fastgpt/global/common/parentFolder/type.d';
|
||||
import { splitText2Chunks } from '@fastgpt/global/common/string/textSplitter';
|
||||
import { MongoDatasetTraining } from '../training/schema';
|
||||
import { urlsFetch } from '../../../common/string/cheerio';
|
||||
@@ -12,6 +11,7 @@ import { hashStr } from '@fastgpt/global/common/string/tools';
|
||||
import { ClientSession } from '../../../common/mongo';
|
||||
import { PushDatasetDataResponse } from '@fastgpt/global/core/dataset/api';
|
||||
import { MongoDatasetCollectionTags } from '../tag/schema';
|
||||
import { readFromSecondary } from '../../../common/mongo/utils';
|
||||
|
||||
/**
|
||||
* get all collection by top collectionId
|
||||
@@ -160,7 +160,7 @@ export const reloadCollectionChunks = async ({
|
||||
const { chunks } = splitText2Chunks({
|
||||
text: newRawText,
|
||||
chunkLen: col.chunkSize || 512,
|
||||
customReg: col.chunkSplitter ? [col.chunkSplitter] : [],
|
||||
customReg: col.chunkSplitter ? [col.chunkSplitter] : []
|
||||
});
|
||||
|
||||
// insert to training queue
|
||||
@@ -204,7 +204,7 @@ export const reloadCollectionChunks = async ({
|
||||
};
|
||||
|
||||
export const createOrGetCollectionTags = async ({
|
||||
tags = [],
|
||||
tags,
|
||||
datasetId,
|
||||
teamId,
|
||||
session
|
||||
@@ -213,13 +213,20 @@ export const createOrGetCollectionTags = async ({
|
||||
datasetId: string;
|
||||
teamId: string;
|
||||
session?: ClientSession;
|
||||
}): Promise<string[]> => {
|
||||
if (!tags.length) return [];
|
||||
const existingTags = await MongoDatasetCollectionTags.find({
|
||||
teamId,
|
||||
datasetId,
|
||||
$expr: { $in: ['$tag', tags] }
|
||||
});
|
||||
}) => {
|
||||
if (!tags) return undefined;
|
||||
|
||||
if (tags.length === 0) return [];
|
||||
|
||||
const existingTags = await MongoDatasetCollectionTags.find(
|
||||
{
|
||||
teamId,
|
||||
datasetId,
|
||||
tag: { $in: tags }
|
||||
},
|
||||
undefined,
|
||||
{ session }
|
||||
).lean();
|
||||
|
||||
const existingTagContents = existingTags.map((tag) => tag.tag);
|
||||
const newTagContents = tags.filter((tag) => !existingTagContents.includes(tag));
|
||||
@@ -235,3 +242,29 @@ export const createOrGetCollectionTags = async ({
|
||||
|
||||
return [...existingTags.map((tag) => tag._id), ...newTags.map((tag) => tag._id)];
|
||||
};
|
||||
|
||||
export const collectionTagsToTagLabel = async ({
|
||||
datasetId,
|
||||
tags
|
||||
}: {
|
||||
datasetId: string;
|
||||
tags?: string[];
|
||||
}) => {
|
||||
if (!tags) return undefined;
|
||||
if (tags.length === 0) return;
|
||||
|
||||
// Get all the tags
|
||||
const collectionTags = await MongoDatasetCollectionTags.find({ datasetId }, undefined, {
|
||||
...readFromSecondary
|
||||
}).lean();
|
||||
const tagsMap = new Map<string, string>();
|
||||
collectionTags.forEach((tag) => {
|
||||
tagsMap.set(String(tag._id), tag.tag);
|
||||
});
|
||||
|
||||
return tags
|
||||
.map((tag) => {
|
||||
return tagsMap.get(tag) || '';
|
||||
})
|
||||
.filter(Boolean);
|
||||
};
|
||||
|
||||
@@ -271,7 +271,7 @@ export async function searchDatasetData(props: SearchDatasetDataProps) {
|
||||
collectionId: { $in: Array.from(new Set(results.map((item) => item.collectionId))) },
|
||||
'indexes.dataId': { $in: results.map((item) => item.id?.trim()) }
|
||||
},
|
||||
'datasetId collectionId q a chunkIndex indexes'
|
||||
'datasetId collectionId updateTime q a chunkIndex indexes'
|
||||
)
|
||||
.populate('collectionId', 'name fileId rawLink externalFileId externalFileUrl')
|
||||
.lean()) as DatasetDataWithCollectionType[];
|
||||
@@ -299,6 +299,7 @@ export async function searchDatasetData(props: SearchDatasetDataProps) {
|
||||
|
||||
const result: SearchDataResponseItemType = {
|
||||
id: String(data._id),
|
||||
updateTime: data.updateTime,
|
||||
q: data.q,
|
||||
a: data.a,
|
||||
chunkIndex: data.chunkIndex,
|
||||
@@ -396,6 +397,7 @@ export async function searchDatasetData(props: SearchDatasetDataProps) {
|
||||
_id: 1,
|
||||
datasetId: 1,
|
||||
collectionId: 1,
|
||||
updateTime: 1,
|
||||
q: 1,
|
||||
a: 1,
|
||||
chunkIndex: 1,
|
||||
@@ -425,6 +427,7 @@ export async function searchDatasetData(props: SearchDatasetDataProps) {
|
||||
id: String(item._id),
|
||||
datasetId: String(item.datasetId),
|
||||
collectionId: String(item.collectionId),
|
||||
updateTime: item.updateTime,
|
||||
...getCollectionSourceData(collection),
|
||||
q: item.q,
|
||||
a: item.a,
|
||||
|
||||
@@ -183,7 +183,7 @@ export async function pushDataListToTrainingQueue({
|
||||
});
|
||||
console.log('failed', failedDocuments);
|
||||
}
|
||||
console.log(startIndex, '===');
|
||||
|
||||
// 对于失败的文档,尝试单独插入
|
||||
await MongoDatasetTraining.create(failedDocuments, { session });
|
||||
|
||||
|
||||
@@ -93,6 +93,7 @@ export const dispatchAppRequest = async (props: Props): Promise<Response> => {
|
||||
const { text } = chatValue2RuntimePrompt(assistantResponses);
|
||||
|
||||
return {
|
||||
assistantResponses,
|
||||
[DispatchNodeResponseKeyEnum.nodeResponse]: {
|
||||
moduleLogo: appData.avatar,
|
||||
query: userChatInput,
|
||||
|
||||
@@ -17,6 +17,7 @@ import { DispatchNodeResultType } from '@fastgpt/global/core/workflow/runtime/ty
|
||||
import { chatValue2RuntimePrompt } from '@fastgpt/global/core/chat/adapt';
|
||||
import { getHandleId } from '@fastgpt/global/core/workflow/utils';
|
||||
import { loadRequestMessages } from '../../../chat/utils';
|
||||
import { llmCompletionsBodyFormat } from '../../../ai/utils';
|
||||
|
||||
type Props = ModuleDispatchProps<{
|
||||
[NodeInputKeyEnum.aiModel]: string;
|
||||
@@ -103,10 +104,10 @@ const completions = async ({
|
||||
systemPrompt: systemPrompt || 'null',
|
||||
typeList: agents
|
||||
.map((item) => `{"类型ID":"${item.key}", "问题类型":"${item.value}"}`)
|
||||
.join('------'),
|
||||
.join('\n------\n'),
|
||||
history: histories
|
||||
.map((item) => `${item.obj}:${chatValue2RuntimePrompt(item.value).text}`)
|
||||
.join('------'),
|
||||
.join('\n------\n'),
|
||||
question: userChatInput
|
||||
})
|
||||
}
|
||||
@@ -124,12 +125,17 @@ const completions = async ({
|
||||
timeout: 480000
|
||||
});
|
||||
|
||||
const data = await ai.chat.completions.create({
|
||||
model: cqModel.model,
|
||||
temperature: 0.01,
|
||||
messages: requestMessages,
|
||||
stream: false
|
||||
});
|
||||
const data = await ai.chat.completions.create(
|
||||
llmCompletionsBodyFormat(
|
||||
{
|
||||
model: cqModel.model,
|
||||
temperature: 0.01,
|
||||
messages: requestMessages,
|
||||
stream: false
|
||||
},
|
||||
cqModel
|
||||
)
|
||||
);
|
||||
const answer = data.choices?.[0].message?.content || '';
|
||||
|
||||
// console.log(JSON.stringify(chats2GPTMessages({ messages, reserveId: false }), null, 2));
|
||||
|
||||
@@ -26,6 +26,7 @@ import {
|
||||
import { ChatCompletionRequestMessageRoleEnum } from '@fastgpt/global/core/ai/constants';
|
||||
import { DispatchNodeResultType } from '@fastgpt/global/core/workflow/runtime/type';
|
||||
import { chatValue2RuntimePrompt } from '@fastgpt/global/core/chat/adapt';
|
||||
import { llmCompletionsBodyFormat } from '../../../ai/utils';
|
||||
|
||||
type Props = ModuleDispatchProps<{
|
||||
[NodeInputKeyEnum.history]?: ChatItemType[];
|
||||
@@ -161,7 +162,7 @@ ${description ? `- ${description}` : ''}
|
||||
- 需要结合前面的对话内容,一起生成合适的参数。
|
||||
"""
|
||||
|
||||
本次输入内容: ${content}
|
||||
本次输入内容: """${content}"""
|
||||
`
|
||||
}
|
||||
}
|
||||
@@ -226,13 +227,18 @@ const toolChoice = async (props: ActionProps) => {
|
||||
timeout: 480000
|
||||
});
|
||||
|
||||
const response = await ai.chat.completions.create({
|
||||
model: extractModel.model,
|
||||
temperature: 0.01,
|
||||
messages: filterMessages,
|
||||
tools,
|
||||
tool_choice: { type: 'function', function: { name: agentFunName } }
|
||||
});
|
||||
const response = await ai.chat.completions.create(
|
||||
llmCompletionsBodyFormat(
|
||||
{
|
||||
model: extractModel.model,
|
||||
temperature: 0.01,
|
||||
messages: filterMessages,
|
||||
tools,
|
||||
tool_choice: { type: 'function', function: { name: agentFunName } }
|
||||
},
|
||||
extractModel
|
||||
)
|
||||
);
|
||||
|
||||
const arg: Record<string, any> = (() => {
|
||||
try {
|
||||
@@ -271,15 +277,20 @@ const functionCall = async (props: ActionProps) => {
|
||||
timeout: 480000
|
||||
});
|
||||
|
||||
const response = await ai.chat.completions.create({
|
||||
model: extractModel.model,
|
||||
temperature: 0.01,
|
||||
messages: filterMessages,
|
||||
function_call: {
|
||||
name: agentFunName
|
||||
},
|
||||
functions
|
||||
});
|
||||
const response = await ai.chat.completions.create(
|
||||
llmCompletionsBodyFormat(
|
||||
{
|
||||
model: extractModel.model,
|
||||
temperature: 0.01,
|
||||
messages: filterMessages,
|
||||
function_call: {
|
||||
name: agentFunName
|
||||
},
|
||||
functions
|
||||
},
|
||||
extractModel
|
||||
)
|
||||
);
|
||||
|
||||
try {
|
||||
const arg = JSON.parse(response?.choices?.[0]?.message?.function_call?.arguments || '');
|
||||
@@ -311,7 +322,7 @@ const completions = async ({
|
||||
extractModel,
|
||||
user,
|
||||
histories,
|
||||
params: { content, extractKeys, description }
|
||||
params: { content, extractKeys, description = 'No special requirements' }
|
||||
}: ActionProps) => {
|
||||
const messages: ChatItemType[] = [
|
||||
{
|
||||
@@ -351,12 +362,17 @@ Human: ${content}`
|
||||
userKey: user.openaiAccount,
|
||||
timeout: 480000
|
||||
});
|
||||
const data = await ai.chat.completions.create({
|
||||
model: extractModel.model,
|
||||
temperature: 0.01,
|
||||
messages: requestMessages,
|
||||
stream: false
|
||||
});
|
||||
const data = await ai.chat.completions.create(
|
||||
llmCompletionsBodyFormat(
|
||||
{
|
||||
model: extractModel.model,
|
||||
temperature: 0.01,
|
||||
messages: requestMessages,
|
||||
stream: false
|
||||
},
|
||||
extractModel
|
||||
)
|
||||
);
|
||||
const answer = data.choices?.[0].message?.content || '';
|
||||
|
||||
// parse response
|
||||
|
||||
@@ -24,7 +24,7 @@ import { getNanoid, sliceStrStartEnd } from '@fastgpt/global/common/string/tools
|
||||
import { AIChatItemType } from '@fastgpt/global/core/chat/type';
|
||||
import { GPTMessages2Chats } from '@fastgpt/global/core/chat/adapt';
|
||||
import { updateToolInputValue } from './utils';
|
||||
import { computedMaxToken, computedTemperature } from '../../../../ai/utils';
|
||||
import { computedMaxToken, llmCompletionsBodyFormat } from '../../../../ai/utils';
|
||||
|
||||
type FunctionRunResponseType = {
|
||||
toolRunResponse: DispatchFlowResponse;
|
||||
@@ -110,19 +110,18 @@ export const runToolWithFunctionCall = async (
|
||||
filterMessages
|
||||
})
|
||||
]);
|
||||
const requestBody: any = {
|
||||
...toolModel?.defaultConfig,
|
||||
model: toolModel.model,
|
||||
temperature: computedTemperature({
|
||||
model: toolModel,
|
||||
temperature
|
||||
}),
|
||||
max_tokens,
|
||||
stream,
|
||||
messages: requestMessages,
|
||||
functions,
|
||||
function_call: 'auto'
|
||||
};
|
||||
const requestBody = llmCompletionsBodyFormat(
|
||||
{
|
||||
model: toolModel.model,
|
||||
temperature,
|
||||
max_tokens,
|
||||
stream,
|
||||
messages: requestMessages,
|
||||
functions,
|
||||
function_call: 'auto'
|
||||
},
|
||||
toolModel
|
||||
);
|
||||
|
||||
// console.log(JSON.stringify(requestBody, null, 2));
|
||||
/* Run llm */
|
||||
@@ -256,17 +255,6 @@ export const runToolWithFunctionCall = async (
|
||||
];
|
||||
// console.log(tokens, 'tool');
|
||||
|
||||
// Run tool status
|
||||
if (node.showStatus) {
|
||||
workflowStreamResponse?.({
|
||||
event: SseResponseEventEnum.flowNodeStatus,
|
||||
data: {
|
||||
status: 'running',
|
||||
name: node.name
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
// tool assistant
|
||||
const toolAssistants = toolsRunResponse
|
||||
.map((item) => {
|
||||
|
||||
@@ -14,7 +14,7 @@ import {
|
||||
GPTMessages2Chats,
|
||||
chatValue2RuntimePrompt,
|
||||
chats2GPTMessages,
|
||||
getSystemPrompt,
|
||||
getSystemPrompt_ChatItemType,
|
||||
runtimePrompt2ChatsValue
|
||||
} from '@fastgpt/global/core/chat/adapt';
|
||||
import { formatModelChars2Points } from '../../../../../support/wallet/usage/utils';
|
||||
@@ -95,7 +95,8 @@ export const dispatchRunTools = async (props: DispatchToolModuleProps): Promise<
|
||||
});
|
||||
|
||||
const messages: ChatItemType[] = [
|
||||
...getSystemPrompt(systemPrompt),
|
||||
...getSystemPrompt_ChatItemType(toolModel.defaultSystemChatPrompt),
|
||||
...getSystemPrompt_ChatItemType(systemPrompt),
|
||||
// Add file input prompt to histories
|
||||
...chatHistories.map((item) => {
|
||||
if (item.obj === ChatRoleEnum.Human) {
|
||||
|
||||
@@ -25,7 +25,7 @@ import {
|
||||
import { AIChatItemType } from '@fastgpt/global/core/chat/type';
|
||||
import { GPTMessages2Chats } from '@fastgpt/global/core/chat/adapt';
|
||||
import { updateToolInputValue } from './utils';
|
||||
import { computedMaxToken, computedTemperature } from '../../../../ai/utils';
|
||||
import { computedMaxToken, llmCompletionsBodyFormat } from '../../../../ai/utils';
|
||||
import { WorkflowResponseType } from '../../type';
|
||||
|
||||
type FunctionCallCompletion = {
|
||||
@@ -113,17 +113,16 @@ export const runToolWithPromptCall = async (
|
||||
filterMessages
|
||||
})
|
||||
]);
|
||||
const requestBody = {
|
||||
...toolModel?.defaultConfig,
|
||||
model: toolModel.model,
|
||||
temperature: computedTemperature({
|
||||
model: toolModel,
|
||||
temperature
|
||||
}),
|
||||
max_tokens,
|
||||
stream,
|
||||
messages: requestMessages
|
||||
};
|
||||
const requestBody = llmCompletionsBodyFormat(
|
||||
{
|
||||
model: toolModel.model,
|
||||
temperature,
|
||||
max_tokens,
|
||||
stream,
|
||||
messages: requestMessages
|
||||
},
|
||||
toolModel
|
||||
);
|
||||
|
||||
// console.log(JSON.stringify(requestBody, null, 2));
|
||||
/* Run llm */
|
||||
@@ -135,9 +134,13 @@ export const runToolWithPromptCall = async (
|
||||
Accept: 'application/json, text/plain, */*'
|
||||
}
|
||||
});
|
||||
const isStreamResponse =
|
||||
typeof aiResponse === 'object' &&
|
||||
aiResponse !== null &&
|
||||
('iterator' in aiResponse || 'controller' in aiResponse);
|
||||
|
||||
const answer = await (async () => {
|
||||
if (res && stream) {
|
||||
if (res && isStreamResponse) {
|
||||
const { answer } = await streamResponse({
|
||||
res,
|
||||
toolNodes,
|
||||
@@ -164,6 +167,17 @@ export const runToolWithPromptCall = async (
|
||||
})
|
||||
});
|
||||
}
|
||||
|
||||
// 不支持 stream 模式的模型的流失响应
|
||||
if (stream && !isStreamResponse) {
|
||||
workflowStreamResponse?.({
|
||||
event: SseResponseEventEnum.fastAnswer,
|
||||
data: textAdaptGptResponse({
|
||||
text: replaceAnswer
|
||||
})
|
||||
});
|
||||
}
|
||||
|
||||
// No tool is invoked, indicating that the process is over
|
||||
const gptAssistantResponse: ChatCompletionAssistantMessageParam = {
|
||||
role: ChatCompletionRequestMessageRoleEnum.Assistant,
|
||||
@@ -261,17 +275,6 @@ export const runToolWithPromptCall = async (
|
||||
};
|
||||
})();
|
||||
|
||||
// Run tool status
|
||||
if (node.showStatus) {
|
||||
workflowStreamResponse?.({
|
||||
event: SseResponseEventEnum.flowNodeStatus,
|
||||
data: {
|
||||
status: 'running',
|
||||
name: node.name
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
// 合并工具调用的结果,使用 functionCall 格式存储。
|
||||
const assistantToolMsgParams: ChatCompletionAssistantMessageParam = {
|
||||
role: ChatCompletionRequestMessageRoleEnum.Assistant,
|
||||
|
||||
@@ -24,7 +24,7 @@ import { countGptMessagesTokens } from '../../../../../common/string/tiktoken/in
|
||||
import { GPTMessages2Chats } from '@fastgpt/global/core/chat/adapt';
|
||||
import { AIChatItemType } from '@fastgpt/global/core/chat/type';
|
||||
import { updateToolInputValue } from './utils';
|
||||
import { computedMaxToken, computedTemperature } from '../../../../ai/utils';
|
||||
import { computedMaxToken, llmCompletionsBodyFormat } from '../../../../ai/utils';
|
||||
import { getNanoid, sliceStrStartEnd } from '@fastgpt/global/common/string/tools';
|
||||
import { addLog } from '../../../../../common/system/log';
|
||||
|
||||
@@ -127,19 +127,18 @@ export const runToolWithToolChoice = async (
|
||||
filterMessages
|
||||
})
|
||||
]);
|
||||
const requestBody: any = {
|
||||
...toolModel?.defaultConfig,
|
||||
model: toolModel.model,
|
||||
temperature: computedTemperature({
|
||||
model: toolModel,
|
||||
temperature
|
||||
}),
|
||||
max_tokens,
|
||||
stream,
|
||||
messages: requestMessages,
|
||||
tools,
|
||||
tool_choice: 'auto'
|
||||
};
|
||||
const requestBody = llmCompletionsBodyFormat(
|
||||
{
|
||||
model: toolModel.model,
|
||||
temperature,
|
||||
max_tokens,
|
||||
stream,
|
||||
messages: requestMessages,
|
||||
tools,
|
||||
tool_choice: 'auto'
|
||||
},
|
||||
toolModel
|
||||
);
|
||||
|
||||
// console.log(JSON.stringify(requestBody, null, 2));
|
||||
/* Run llm */
|
||||
@@ -153,9 +152,13 @@ export const runToolWithToolChoice = async (
|
||||
Accept: 'application/json, text/plain, */*'
|
||||
}
|
||||
});
|
||||
const isStreamResponse =
|
||||
typeof aiResponse === 'object' &&
|
||||
aiResponse !== null &&
|
||||
('iterator' in aiResponse || 'controller' in aiResponse);
|
||||
|
||||
const { answer, toolCalls } = await (async () => {
|
||||
if (res && stream) {
|
||||
if (res && isStreamResponse) {
|
||||
return streamResponse({
|
||||
res,
|
||||
workflowStreamResponse,
|
||||
@@ -165,6 +168,7 @@ export const runToolWithToolChoice = async (
|
||||
} else {
|
||||
const result = aiResponse as ChatCompletion;
|
||||
const calls = result.choices?.[0]?.message?.tool_calls || [];
|
||||
const answer = result.choices?.[0]?.message?.content || '';
|
||||
|
||||
// 加上name和avatar
|
||||
const toolCalls = calls.map((tool) => {
|
||||
@@ -176,8 +180,33 @@ export const runToolWithToolChoice = async (
|
||||
};
|
||||
});
|
||||
|
||||
// 不支持 stream 模式的模型的流失响应
|
||||
toolCalls.forEach((tool) => {
|
||||
workflowStreamResponse?.({
|
||||
event: SseResponseEventEnum.toolCall,
|
||||
data: {
|
||||
tool: {
|
||||
id: tool.id,
|
||||
toolName: tool.toolName,
|
||||
toolAvatar: tool.toolAvatar,
|
||||
functionName: tool.function.name,
|
||||
params: tool.function?.arguments ?? '',
|
||||
response: ''
|
||||
}
|
||||
}
|
||||
});
|
||||
});
|
||||
if (answer) {
|
||||
workflowStreamResponse?.({
|
||||
event: SseResponseEventEnum.fastAnswer,
|
||||
data: textAdaptGptResponse({
|
||||
text: answer
|
||||
})
|
||||
});
|
||||
}
|
||||
|
||||
return {
|
||||
answer: result.choices?.[0]?.message?.content || '',
|
||||
answer,
|
||||
toolCalls: toolCalls
|
||||
};
|
||||
}
|
||||
@@ -239,7 +268,7 @@ export const runToolWithToolChoice = async (
|
||||
toolName: '',
|
||||
toolAvatar: '',
|
||||
params: '',
|
||||
response: sliceStrStartEnd(stringToolResponse, 500, 500)
|
||||
response: sliceStrStartEnd(stringToolResponse, 2000, 2000)
|
||||
}
|
||||
}
|
||||
});
|
||||
@@ -282,17 +311,6 @@ export const runToolWithToolChoice = async (
|
||||
|
||||
// console.log(tokens, 'tool');
|
||||
|
||||
// Run tool status
|
||||
if (node.showStatus) {
|
||||
workflowStreamResponse?.({
|
||||
event: SseResponseEventEnum.flowNodeStatus,
|
||||
data: {
|
||||
status: 'running',
|
||||
name: node.name
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
// tool assistant
|
||||
const toolAssistants = toolsRunResponse
|
||||
.map((item) => {
|
||||
@@ -423,8 +441,8 @@ async function streamResponse({
|
||||
// Start call tool
|
||||
if (toolCall.id) {
|
||||
callingTool = {
|
||||
name: toolCall.function.name || '',
|
||||
arguments: toolCall.function.arguments || ''
|
||||
name: toolCall.function?.name || '',
|
||||
arguments: toolCall.function?.arguments || ''
|
||||
};
|
||||
} else if (callingTool) {
|
||||
// Continue call
|
||||
@@ -442,6 +460,7 @@ async function streamResponse({
|
||||
toolCalls.push({
|
||||
...toolCall,
|
||||
id: toolId,
|
||||
type: 'function',
|
||||
function: toolFunction,
|
||||
toolName: toolNode.name,
|
||||
toolAvatar: toolNode.avatar
|
||||
|
||||
@@ -19,14 +19,15 @@ import { countMessagesTokens } from '../../../../common/string/tiktoken/index';
|
||||
import {
|
||||
chats2GPTMessages,
|
||||
chatValue2RuntimePrompt,
|
||||
getSystemPrompt,
|
||||
getSystemPrompt_ChatItemType,
|
||||
GPTMessages2Chats,
|
||||
runtimePrompt2ChatsValue
|
||||
} from '@fastgpt/global/core/chat/adapt';
|
||||
import {
|
||||
Prompt_DocumentQuote,
|
||||
Prompt_QuotePromptList,
|
||||
Prompt_QuoteTemplateList
|
||||
Prompt_userQuotePromptList,
|
||||
Prompt_QuoteTemplateList,
|
||||
Prompt_systemQuotePromptList
|
||||
} from '@fastgpt/global/core/ai/prompt/AIChat';
|
||||
import type { AIChatNodeProps } from '@fastgpt/global/core/workflow/runtime/type.d';
|
||||
import { replaceVariable } from '@fastgpt/global/common/string/tools';
|
||||
@@ -40,8 +41,10 @@ import { getHistories } from '../utils';
|
||||
import { filterSearchResultsByMaxChars } from '../../utils';
|
||||
import { getHistoryPreview } from '@fastgpt/global/core/chat/utils';
|
||||
import { addLog } from '../../../../common/system/log';
|
||||
import { computedMaxToken, computedTemperature } from '../../../ai/utils';
|
||||
import { computedMaxToken, llmCompletionsBodyFormat } from '../../../ai/utils';
|
||||
import { WorkflowResponseType } from '../type';
|
||||
import { formatTime2YMDHM } from '@fastgpt/global/common/string/time';
|
||||
import { AiChatQuoteRoleType } from '@fastgpt/global/core/workflow/template/system/aiChat/type';
|
||||
|
||||
export type ChatProps = ModuleDispatchProps<
|
||||
AIChatNodeProps & {
|
||||
@@ -75,6 +78,7 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
|
||||
userChatInput,
|
||||
isResponseAnswerText = true,
|
||||
systemPrompt = '',
|
||||
aiChatQuoteRole = 'system',
|
||||
quoteTemplate,
|
||||
quotePrompt,
|
||||
aiChatVision,
|
||||
@@ -107,6 +111,7 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
|
||||
histories: chatHistories,
|
||||
useDatasetQuote: quoteQA !== undefined,
|
||||
datasetQuoteText,
|
||||
aiChatQuoteRole,
|
||||
datasetQuotePrompt: quotePrompt,
|
||||
userChatInput,
|
||||
inputFiles,
|
||||
@@ -152,17 +157,16 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
|
||||
})
|
||||
]);
|
||||
|
||||
const requestBody = {
|
||||
...modelConstantsData?.defaultConfig,
|
||||
model: modelConstantsData.model,
|
||||
temperature: computedTemperature({
|
||||
model: modelConstantsData,
|
||||
temperature
|
||||
}),
|
||||
max_tokens,
|
||||
stream,
|
||||
messages: requestMessages
|
||||
};
|
||||
const requestBody = llmCompletionsBodyFormat(
|
||||
{
|
||||
model: modelConstantsData.model,
|
||||
temperature,
|
||||
max_tokens,
|
||||
stream,
|
||||
messages: requestMessages
|
||||
},
|
||||
modelConstantsData
|
||||
);
|
||||
// console.log(JSON.stringify(requestBody, null, 2), '===');
|
||||
try {
|
||||
const ai = getAIApi({
|
||||
@@ -175,8 +179,13 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
|
||||
}
|
||||
});
|
||||
|
||||
const isStreamResponse =
|
||||
typeof response === 'object' &&
|
||||
response !== null &&
|
||||
('iterator' in response || 'controller' in response);
|
||||
|
||||
const { answerText } = await (async () => {
|
||||
if (res && stream) {
|
||||
if (res && isStreamResponse) {
|
||||
// sse response
|
||||
const { answer } = await streamResponse({
|
||||
res,
|
||||
@@ -195,6 +204,16 @@ export const dispatchChatCompletion = async (props: ChatProps): Promise<ChatResp
|
||||
const unStreamResponse = response as ChatCompletion;
|
||||
const answer = unStreamResponse.choices?.[0]?.message?.content || '';
|
||||
|
||||
if (stream) {
|
||||
// Some models do not support streaming
|
||||
workflowStreamResponse?.({
|
||||
event: SseResponseEventEnum.fastAnswer,
|
||||
data: textAdaptGptResponse({
|
||||
text: answer
|
||||
})
|
||||
});
|
||||
}
|
||||
|
||||
return {
|
||||
answerText: answer
|
||||
};
|
||||
@@ -263,6 +282,7 @@ async function filterDatasetQuote({
|
||||
return replaceVariable(quoteTemplate || Prompt_QuoteTemplateList[0].value, {
|
||||
q: item.q,
|
||||
a: item.a,
|
||||
updateTime: formatTime2YMDHM(item.updateTime),
|
||||
source: item.sourceName,
|
||||
sourceId: String(item.sourceId || 'UnKnow'),
|
||||
index: index + 1
|
||||
@@ -282,7 +302,8 @@ async function filterDatasetQuote({
|
||||
};
|
||||
}
|
||||
async function getChatMessages({
|
||||
datasetQuotePrompt,
|
||||
aiChatQuoteRole,
|
||||
datasetQuotePrompt = '',
|
||||
datasetQuoteText,
|
||||
useDatasetQuote,
|
||||
histories = [],
|
||||
@@ -292,27 +313,51 @@ async function getChatMessages({
|
||||
model,
|
||||
stringQuoteText
|
||||
}: {
|
||||
// dataset quote
|
||||
aiChatQuoteRole: AiChatQuoteRoleType; // user: replace user prompt; system: replace system prompt
|
||||
datasetQuotePrompt?: string;
|
||||
datasetQuoteText: string;
|
||||
|
||||
useDatasetQuote: boolean;
|
||||
histories: ChatItemType[];
|
||||
systemPrompt: string;
|
||||
userChatInput: string;
|
||||
inputFiles: UserChatItemValueItemType['file'][];
|
||||
model: LLMModelItemType;
|
||||
stringQuoteText?: string;
|
||||
stringQuoteText?: string; // file quote
|
||||
}) {
|
||||
const replaceInputValue = useDatasetQuote
|
||||
? replaceVariable(datasetQuotePrompt || Prompt_QuotePromptList[0].value, {
|
||||
quote: datasetQuoteText,
|
||||
question: userChatInput
|
||||
})
|
||||
: userChatInput;
|
||||
// User role or prompt include question
|
||||
const quoteRole =
|
||||
aiChatQuoteRole === 'user' || datasetQuotePrompt.includes('{{question}}') ? 'user' : 'system';
|
||||
|
||||
const datasetQuotePromptTemplate = datasetQuotePrompt
|
||||
? datasetQuotePrompt
|
||||
: quoteRole === 'user'
|
||||
? Prompt_userQuotePromptList[0].value
|
||||
: Prompt_systemQuotePromptList[0].value;
|
||||
|
||||
const replaceInputValue =
|
||||
useDatasetQuote && quoteRole === 'user'
|
||||
? replaceVariable(datasetQuotePromptTemplate, {
|
||||
quote: datasetQuoteText,
|
||||
question: userChatInput
|
||||
})
|
||||
: userChatInput;
|
||||
|
||||
const replaceSystemPrompt =
|
||||
useDatasetQuote && quoteRole === 'system'
|
||||
? `${systemPrompt ? systemPrompt + '\n\n------\n\n' : ''}${replaceVariable(
|
||||
datasetQuotePromptTemplate,
|
||||
{
|
||||
quote: datasetQuoteText
|
||||
}
|
||||
)}`
|
||||
: systemPrompt;
|
||||
|
||||
const messages: ChatItemType[] = [
|
||||
...getSystemPrompt(systemPrompt),
|
||||
...(stringQuoteText
|
||||
? getSystemPrompt(
|
||||
...getSystemPrompt_ChatItemType(replaceSystemPrompt),
|
||||
...(stringQuoteText // file quote
|
||||
? getSystemPrompt_ChatItemType(
|
||||
replaceVariable(Prompt_DocumentQuote, {
|
||||
quote: stringQuoteText
|
||||
})
|
||||
@@ -327,6 +372,7 @@ async function getChatMessages({
|
||||
})
|
||||
}
|
||||
];
|
||||
|
||||
const adaptMessages = chats2GPTMessages({ messages, reserveId: false });
|
||||
|
||||
const filterMessages = await filterGPTMessageByMaxTokens({
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user