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131 Commits

Author SHA1 Message Date
lloydzhou
009447a188 Merge remote-tracking branch 'origin/main' into website 2024-11-11 13:26:21 +08:00
lloydzhou
38fa3056df update version 2024-11-11 13:26:08 +08:00
Lloyd Zhou
289aeec8af Merge pull request #5786 from ConnectAI-E/feature/realtime-chat
Feature/realtime chat
2024-11-11 13:19:26 +08:00
lloydzhou
7d71da938f remove close-24 svg 2024-11-11 13:15:09 +08:00
Lloyd Zhou
f8f6954115 Merge pull request #5779 from ConnectAI-E/feature/model/claude35haiku
add claude35haiku & not support vision
2024-11-11 13:13:09 +08:00
Lloyd Zhou
6e03f32871 Merge pull request #5795 from JingSyue/main
fix: built-in plugin dalle3 error #5787
2024-11-11 13:10:00 +08:00
JingSyue
18a6571883 Update proxy.ts
Update proxy.ts
2024-11-11 12:59:29 +08:00
Dogtiti
14f444e1f0 doc: realtime chat 2024-11-11 11:47:41 +08:00
JingSyue
2b0f2e5f9d fix: built-in plugin dalle3 error #5787 2024-11-10 10:28:25 +08:00
Dogtiti
4629b39c29 chore: comment context history 2024-11-09 16:22:01 +08:00
Dogtiti
d33e772fa5 feat: voice print 2024-11-08 22:39:17 +08:00
Dogtiti
89136fba32 feat: voice print 2024-11-08 22:18:39 +08:00
Dogtiti
8b4ca133fd feat: voice print 2024-11-08 22:02:31 +08:00
lloydzhou
a4c9eaf6cd do not save empty audio file 2024-11-08 13:43:13 +08:00
lloydzhou
50e63109a3 merge code and get analyser data 2024-11-08 13:21:40 +08:00
Dogtiti
48a1e8a584 chore: i18n 2024-11-07 21:32:47 +08:00
Dogtiti
e44ebe3f0e feat: realtime config 2024-11-07 21:28:23 +08:00
Lloyd Zhou
108069a0c6 Merge pull request #5788 from ConnectAI-E/fix-o1-maxtokens
chore: o1模型使用max_completion_tokens
2024-11-07 20:06:30 +08:00
DDMeaqua
d5bda2904d chore: o1模型使用max_completion_tokens 2024-11-07 19:45:27 +08:00
lloydzhou
283caba8ce stop streaming play after get input audio. 2024-11-07 18:57:57 +08:00
lloydzhou
b78e5db817 add temperature config 2024-11-07 17:55:51 +08:00
lloydzhou
46c469b2d7 add voice config 2024-11-07 17:47:55 +08:00
lloydzhou
c00ebbea4f update 2024-11-07 17:40:03 +08:00
lloydzhou
c526ff80b5 update 2024-11-07 17:23:20 +08:00
lloydzhou
0037b0c944 ts error 2024-11-07 17:03:04 +08:00
lloydzhou
6f81bb3b8a add context after connected 2024-11-07 16:56:15 +08:00
lloydzhou
7bdc45ed3e connect realtime model when open panel 2024-11-07 16:41:24 +08:00
Dogtiti
88cd3ac122 fix: ts error 2024-11-07 12:16:11 +08:00
Dogtiti
4988d2ee26 fix: ts error 2024-11-07 11:56:58 +08:00
lloydzhou
8deb7a92ee hotfix for update target session 2024-11-07 11:53:01 +08:00
lloydzhou
db060d732a upload save record wav file 2024-11-07 11:45:38 +08:00
lloydzhou
522627820a upload save wav file logic 2024-11-07 09:36:22 +08:00
lloydzhou
cf46d5ad63 upload response audio, and update audio_url to session message 2024-11-07 01:12:08 +08:00
Dogtiti
a4941521d0 feat: audio to message 2024-11-06 22:30:02 +08:00
Dogtiti
f6e1f8398b wip 2024-11-06 22:07:33 +08:00
Dogtiti
d544eead38 feat: realtime chat ui 2024-11-06 21:14:45 +08:00
Lloyd Zhou
fbb9385f23 Merge pull request #5782 from ConnectAI-E/style/classname
style: improve classname by clsx
2024-11-06 20:33:51 +08:00
Dogtiti
18144c3d9c chore: clsx 2024-11-06 20:16:38 +08:00
opchips
64aa760e58 update claude rank 2024-11-06 19:18:05 +08:00
Dogtiti
e0bbb8bb68 style: improve classname by clsx 2024-11-06 16:58:26 +08:00
opchips
6667ee1c7f merge main 2024-11-06 15:08:18 +08:00
Lloyd Zhou
6ded4e96e7 Merge pull request #5778 from ConnectAI-E/fix/5436
fix: botMessage reply date
2024-11-06 15:04:46 +08:00
Dogtiti
85cdcab850 fix: botMessage reply date 2024-11-06 14:53:08 +08:00
Lloyd Zhou
f4c9410c29 Merge pull request #5776 from ConnectAI-E/feat-glm
fix: glm chatpath
2024-11-06 14:02:20 +08:00
DDMeaqua
adf7d8200b fix: glm chatpath 2024-11-06 13:55:57 +08:00
opchips
3086a2fa77 add claude35haiku not vision 2024-11-06 12:56:24 +08:00
Lloyd Zhou
f526d6f560 Merge pull request #5774 from ConnectAI-E/feature/update-target-session
fix: updateCurrentSession => updateTargetSession
2024-11-06 11:16:33 +08:00
Dogtiti
106461a1e7 Merge branch 'main' of https://github.com/ConnectAI-E/ChatGPT-Next-Web into feature/update-target-session 2024-11-06 11:08:41 +08:00
Dogtiti
c4e19dbc59 fix: updateCurrentSession => updateTargetSession 2024-11-06 11:06:18 +08:00
Dogtiti
f3603e59fa Merge pull request #5769 from ryanhex53/fix-model-multi@
Custom model names can include the `@` symbol by itself.
2024-11-06 10:49:28 +08:00
ryanhex53
8e2484fcdf Refactor: Replace all provider split occurrences with getModelProvider utility method 2024-11-05 13:52:54 +00:00
lloydzhou
d7270a5840 Merge remote-tracking branch 'origin/main' into website 2024-11-05 17:47:01 +08:00
lloydzhou
00d6cb27f7 update version 2024-11-05 17:42:55 +08:00
ryanhex53
b844045d23 Custom model names can include the @ symbol by itself.
To specify the model's provider, append it after the model name using `@` as before.

This format supports cases like `google vertex ai` with a model name like `claude-3-5-sonnet@20240620`.

For instance, `claude-3-5-sonnet@20240620@vertex-ai` will be split by `split(/@(?!.*@)/)` into:

`[ 'claude-3-5-sonnet@20240620', 'vertex-ai' ]`, where the former is the model name and the latter is the custom provider.
2024-11-05 07:44:12 +00:00
Lloyd Zhou
e49fe976d9 Merge pull request #5765 from ConnectAI-E/feature/onfinish
feat: update real 'currentSession'
2024-11-05 15:07:52 +08:00
Dogtiti
14f751965f Merge pull request #5767 from ConnectAI-E/feat-glm
chore: update readme
2024-11-05 11:07:52 +08:00
DDMeaqua
0ec423389f chore: update readme 2024-11-05 11:06:20 +08:00
Dogtiti
820ab54e2d Merge pull request #5766 from ConnectAI-E/feature/add-claude-haiku3.5
Feature/add claude haiku3.5
2024-11-05 10:54:52 +08:00
lloydzhou
a6c1eb27a8 add claude 3.5 haiku 2024-11-05 10:23:15 +08:00
Lloyd Zhou
0dc4071ccc Merge pull request #5464 from endless-learner/main
Added 1-click deployment link for Alibaba Cloud.
2024-11-05 01:10:06 +08:00
Lloyd Zhou
4d3949718a merge main 2024-11-05 01:09:27 +08:00
Dogtiti
aef535f1a7 Merge pull request #5753 from ChatGPTNextWeb/feat-bt-doc
Feat bt doc
2024-11-04 21:41:11 +08:00
Dogtiti
686a80e727 Merge pull request #5764 from ChatGPTNextWeb/dependabot/npm_and_yarn/testing-library/react-16.0.1
chore(deps-dev): bump @testing-library/react from 16.0.0 to 16.0.1
2024-11-04 21:37:34 +08:00
Dogtiti
e49466fa05 feat: update real 'currentSession' 2024-11-04 21:25:56 +08:00
dependabot[bot]
4b93370814 chore(deps-dev): bump @testing-library/react from 16.0.0 to 16.0.1
Bumps [@testing-library/react](https://github.com/testing-library/react-testing-library) from 16.0.0 to 16.0.1.
- [Release notes](https://github.com/testing-library/react-testing-library/releases)
- [Changelog](https://github.com/testing-library/react-testing-library/blob/main/CHANGELOG.md)
- [Commits](https://github.com/testing-library/react-testing-library/compare/v16.0.0...v16.0.1)

---
updated-dependencies:
- dependency-name: "@testing-library/react"
  dependency-type: direct:development
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
2024-11-04 10:24:30 +00:00
Dogtiti
5733e3c588 Merge pull request #5759 from ConnectAI-E/feature/onfinish
Feature/onfinish
2024-11-04 17:16:44 +08:00
Dogtiti
44fc5b5cbf fix: onfinish responseRes 2024-11-04 17:00:45 +08:00
Dogtiti
2d3f7c922f fix: vision model dalle3 2024-11-04 15:51:04 +08:00
GH Action - Upstream Sync
fe8cca3730 Merge branch 'main' of https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web 2024-11-02 01:12:09 +00:00
weige
fbb7a1e853 fix 2024-11-01 18:20:16 +08:00
weige
fb2c15567d fix 2024-11-01 17:45:50 +08:00
weige
c2c52a1f60 fix 2024-11-01 17:35:34 +08:00
weige
106ddc17cd fix 2024-11-01 17:35:09 +08:00
weige
17d5209738 add bt install doc 2024-11-01 17:28:20 +08:00
Dogtiti
d66bfc6352 Merge pull request #5752 from ConnectAI-E/feat-glm
fix: ts error
2024-11-01 14:16:50 +08:00
DDMeaqua
4d75b23ed1 fix: ts error 2024-11-01 14:15:12 +08:00
Dogtiti
36bfa2ef7c Merge pull request #5741 from ConnectAI-E/feat-glm
feat: [#5714] 支持GLM
2024-11-01 13:57:30 +08:00
DDMeaqua
afe12c212e chore: update 2024-11-01 13:53:43 +08:00
GH Action - Upstream Sync
adf97c6d8b Merge branch 'main' of https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web 2024-11-01 01:18:59 +00:00
DDMeaqua
7a8d557ea3 chore: 开启插件 2024-10-31 11:37:19 +08:00
DDMeaqua
d3f0a77830 chore: update Provider 2024-10-31 11:23:06 +08:00
Dogtiti
0581e37236 Merge pull request #5744 from mrcore/main
add  claude-3-5-sonnet-latest and claude-3-opus-latest
2024-10-31 11:19:34 +08:00
Core
44383a8b33 add claude-3-5-sonnet-latest and claude-3-opus-latest
add  claude-3-5-sonnet-latest and claude-3-opus-latest
2024-10-31 11:00:45 +08:00
GH Action - Upstream Sync
7c466c9b9c Merge branch 'main' of https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web 2024-10-31 01:14:28 +00:00
Dogtiti
a0fa4d7e72 Merge pull request #5737 from hyiip/claude3.5
add constant to claude 3.5 sonnet 20241022
2024-10-31 00:13:16 +08:00
DDMeaqua
d357b45e84 feat: [#5714] 支持GLM 2024-10-30 19:24:03 +08:00
Lloyd Zhou
d0bd1bf8fd Merge pull request #5740 from yuxuan-ctrl/main
feat: 新增阿里系模型代码配置
2024-10-30 16:56:53 +08:00
yuxuan-ctrl
86ffa1e643 feat: 新增阿里系模型代码配置 2024-10-30 16:30:01 +08:00
endless-learner
b0d28eb77e Merge branch 'main' into main 2024-10-29 14:38:49 -07:00
hyiip
736cbdbdd1 add constant to claude 3.5 sonnet 20241022 2024-10-30 02:18:41 +08:00
Dogtiti
613d67eada Merge pull request #5729 from ConnectAI-E/feature/jest
chore: improve jest
2024-10-29 19:39:59 +08:00
Dogtiti
89cea18955 Merge branch 'main' of https://github.com/ConnectAI-E/ChatGPT-Next-Web into feature/jest 2024-10-29 19:26:52 +08:00
Dogtiti
56bc77d20b Merge pull request #5731 from ChatGPTNextWeb/dependabot/npm_and_yarn/testing-library/jest-dom-6.6.2
Bump @testing-library/jest-dom from 6.4.8 to 6.6.2
2024-10-28 21:52:08 +08:00
Dogtiti
6d93d37963 Merge pull request #5732 from ChatGPTNextWeb/dependabot/npm_and_yarn/types/jest-29.5.14
Bump @types/jest from 29.5.13 to 29.5.14
2024-10-28 21:51:59 +08:00
dependabot[bot]
24df85cf9d Bump @types/jest from 29.5.13 to 29.5.14
Bumps [@types/jest](https://github.com/DefinitelyTyped/DefinitelyTyped/tree/HEAD/types/jest) from 29.5.13 to 29.5.14.
- [Release notes](https://github.com/DefinitelyTyped/DefinitelyTyped/releases)
- [Commits](https://github.com/DefinitelyTyped/DefinitelyTyped/commits/HEAD/types/jest)

---
updated-dependencies:
- dependency-name: "@types/jest"
  dependency-type: direct:development
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
2024-10-28 10:31:34 +00:00
dependabot[bot]
a4d7a2c6e3 Bump @testing-library/jest-dom from 6.4.8 to 6.6.2
Bumps [@testing-library/jest-dom](https://github.com/testing-library/jest-dom) from 6.4.8 to 6.6.2.
- [Release notes](https://github.com/testing-library/jest-dom/releases)
- [Changelog](https://github.com/testing-library/jest-dom/blob/main/CHANGELOG.md)
- [Commits](https://github.com/testing-library/jest-dom/compare/v6.4.8...v6.6.2)

---
updated-dependencies:
- dependency-name: "@testing-library/jest-dom"
  dependency-type: direct:development
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
2024-10-28 10:31:27 +00:00
Dogtiti
49d42bb45d chore: improve jest 2024-10-28 16:47:05 +08:00
Lloyd Zhou
4f49626303 Merge pull request #5722 from ElricLiu/main
Update README.md
2024-10-26 12:09:09 +08:00
ElricLiu
45db20c1c3 Update README.md 2024-10-26 11:16:43 +08:00
Lloyd Zhou
82994843f5 Merge pull request #5719 from ConnectAI-E/hotfix/status_text_error
hotfix for statusText is non ISO-8859-1 #5717
2024-10-25 20:34:15 +08:00
Dogtiti
1110a087a0 Merge pull request #5720 from ConnectAI-E/hotfix/gemini_invald_argument
hotfix for gemini invald argument #5715
2024-10-25 18:25:46 +08:00
lloydzhou
f0b3e10a6c hotfix for gemini invald argument #5715 2024-10-25 18:19:22 +08:00
lloydzhou
90ced92876 update 2024-10-25 18:05:29 +08:00
lloydzhou
2c74559010 hitfix 2024-10-25 18:02:51 +08:00
lloydzhou
e3ca7e8b44 hotfix for statusText is non ISO-8859-1 #5717 2024-10-25 17:52:08 +08:00
lloydzhou
a0c78b8260 Merge branch 'main' into website 2024-10-24 16:36:12 +08:00
lloydzhou
801dc412f9 add claude-3.5-haiku 2024-10-24 15:28:05 +08:00
lloydzhou
143fdf4c9d Merge branch 'main' into website 2024-10-16 00:46:25 +08:00
lloydzhou
37e48b431d Merge remote-tracking branch 'origin/main' into website 2024-10-15 17:29:42 +08:00
lloydzhou
eed651ddde Merge branch 'main' into website 2024-10-10 12:56:59 +08:00
lloydzhou
22fa98d73d Merge branch 'main' into website 2024-10-09 19:34:01 +08:00
lloydzhou
7d3b5f1ac8 Merge remote-tracking branch 'origin/main' into website 2024-09-26 13:57:05 +08:00
lloydzhou
1df5a16141 Merge remote-tracking branch 'origin/main' into website 2024-09-25 15:54:41 +08:00
endless-learner
064e964d75 Updated link to deploy on Alibaba Cloud, readable when not logged in, also, able to choose region. 2024-09-24 23:05:32 -07:00
endless-learner
47fb40d572 Merge branch 'ChatGPTNextWeb:main' into main 2024-09-24 23:03:03 -07:00
endless-learner
9e18cc260b Update README.md
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
2024-09-24 13:55:00 -07:00
lloydzhou
2b944b154c hotfix openai function call tool_calls no index 2024-09-22 19:09:28 +08:00
lloydzhou
9b7cb795ca hotfix openai function call tool_calls no index 2024-09-22 19:09:18 +08:00
endless-learner
03268ce4d8 Added 1-click deployment link for Alibaba Cloud. 2024-09-18 20:38:20 -07:00
lloydzhou
20ae4f54e6 Merge remote-tracking branch 'origin/main' into website 2024-09-13 17:41:44 +08:00
lloydzhou
78facb282b Merge remote-tracking branch 'origin/main' into website 2024-09-07 22:13:20 +08:00
lloydzhou
6f3d7530b9 Merge remote-tracking branch 'origin/main' into website 2024-09-06 20:18:21 +08:00
lloydzhou
5e1064a5c8 Merge branch 'main' into website 2024-08-16 16:58:30 +08:00
lloydzhou
faac0d9817 Merge remote-tracking branch 'origin/main' into website 2024-08-06 22:45:16 +08:00
lloydzhou
c440637ad0 Merge remote-tracking branch 'origin/main' into website 2024-07-27 01:32:47 +08:00
lloydzhou
284d33bcdf Merge remote-tracking branch 'origin/main' into website 2024-07-19 18:37:32 +08:00
lloydzhou
d9573973ca Merge remote-tracking branch 'origin/main' into website 2024-07-13 21:31:15 +08:00
fred-bf
cd354cf045 Merge pull request #4685 from ChatGPTNextWeb/main
feat: update upstream
2024-05-14 17:40:46 +08:00
fred-bf
1cce87acaa Merge pull request #4181 from ChatGPTNextWeb/main
merge main
2024-03-01 11:10:11 +08:00
fred-bf
78c4084501 Merge pull request #4148 from ChatGPTNextWeb/main
feat: catch up latest commit
2024-02-27 10:43:15 +08:00
Fred Liang
1d0a40b9e8 chore: low the google safety setting to avoid unexpected blocking 2023-12-31 19:50:06 +08:00
76 changed files with 2893 additions and 844 deletions

View File

@@ -31,7 +31,7 @@ One-Click to get a well-designed cross-platform ChatGPT web UI, with GPT3, GPT4
[MacOS-image]: https://img.shields.io/badge/-MacOS-black?logo=apple
[Linux-image]: https://img.shields.io/badge/-Linux-333?logo=ubuntu
[<img src="https://vercel.com/button" alt="Deploy on Zeabur" height="30">](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat) [<img src="https://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30">](https://zeabur.com/templates/ZBUEFA) [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Open in Gitpod" height="30">](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web)
[<img src="https://vercel.com/button" alt="Deploy on Vercel" height="30">](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2FChatGPTNextWeb%2FChatGPT-Next-Web&env=OPENAI_API_KEY&env=CODE&project-name=nextchat&repository-name=NextChat) [<img src="https://zeabur.com/button.svg" alt="Deploy on Zeabur" height="30">](https://zeabur.com/templates/ZBUEFA) [<img src="https://gitpod.io/button/open-in-gitpod.svg" alt="Open in Gitpod" height="30">](https://gitpod.io/#https://github.com/Yidadaa/ChatGPT-Next-Web) [<img src="https://img.shields.io/badge/BT_Deploy-Install-20a53a" alt="BT Deply Install" height="30">](https://www.bt.cn/new/download.html) [<img src="https://svgshare.com/i/1AVg.svg" alt="Deploy to Alibaba Cloud" height="30">](https://computenest.aliyun.com/market/service-f1c9b75e59814dc49d52)
[<img src="https://github.com/user-attachments/assets/903482d4-3e87-4134-9af1-f2588fa90659" height="60" width="288" >](https://monica.im/?utm=nxcrp)
@@ -96,10 +96,11 @@ For enterprise inquiries, please contact: **business@nextchat.dev**
- [x] Artifacts: Easily preview, copy and share generated content/webpages through a separate window [#5092](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/pull/5092)
- [x] Plugins: support network search, calculator, any other apis etc. [#165](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/165) [#5353](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5353)
- [x] network search, calculator, any other apis etc. [#165](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/165) [#5353](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5353)
- [x] Supports Realtime Chat [#5672](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5672)
- [ ] local knowledge base
## What's New
- 🚀 v2.15.8 Now supports Realtime Chat [#5672](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5672)
- 🚀 v2.15.4 The Application supports using Tauri fetch LLM API, MORE SECURITY! [#5379](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5379)
- 🚀 v2.15.0 Now supports Plugins! Read this: [NextChat-Awesome-Plugins](https://github.com/ChatGPTNextWeb/NextChat-Awesome-Plugins)
- 🚀 v2.14.0 Now supports Artifacts & SD
@@ -134,10 +135,11 @@ For enterprise inquiries, please contact: **business@nextchat.dev**
- [x] Artifacts: 通过独立窗口,轻松预览、复制和分享生成的内容/可交互网页 [#5092](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/pull/5092)
- [x] 插件机制,支持`联网搜索``计算器`、调用其他平台 api [#165](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/165) [#5353](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5353)
- [x] 支持联网搜索、计算器、调用其他平台 api [#165](https://github.com/Yidadaa/ChatGPT-Next-Web/issues/165) [#5353](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5353)
- [x] 支持 Realtime Chat [#5672](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5672)
- [ ] 本地知识库
## 最新动态
- 🚀 v2.15.8 现在支持Realtime Chat [#5672](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5672)
- 🚀 v2.15.4 客户端支持Tauri本地直接调用大模型API更安全[#5379](https://github.com/ChatGPTNextWeb/ChatGPT-Next-Web/issues/5379)
- 🚀 v2.15.0 现在支持插件功能了!了解更多:[NextChat-Awesome-Plugins](https://github.com/ChatGPTNextWeb/NextChat-Awesome-Plugins)
- 🚀 v2.14.0 现在支持 Artifacts & SD 了。
@@ -301,6 +303,14 @@ iflytek Api Key.
iflytek Api Secret.
### `CHATGLM_API_KEY` (optional)
ChatGLM Api Key.
### `CHATGLM_URL` (optional)
ChatGLM Api Url.
### `HIDE_USER_API_KEY` (optional)
> Default: Empty
@@ -397,6 +407,9 @@ yarn dev
> [简体中文 > 如何部署到私人服务器](./README_CN.md#部署)
### BT Install
> [简体中文 > 如何通过宝塔一键部署](./docs/bt-cn.md)
### Docker (Recommended)
```shell

View File

@@ -184,6 +184,13 @@ ByteDance Api Url.
讯飞星火Api Secret.
### `CHATGLM_API_KEY` (可选)
ChatGLM Api Key.
### `CHATGLM_URL` (可选)
ChatGLM Api Url.
### `HIDE_USER_API_KEY` (可选)
@@ -264,6 +271,9 @@ BASE_URL=https://b.nextweb.fun/api/proxy
## 部署
### 宝塔面板部署
> [简体中文 > 如何通过宝塔一键部署](./docs/bt-cn.md)
### 容器部署 (推荐)
> Docker 版本需要在 20 及其以上,否则会提示找不到镜像。

View File

@@ -11,6 +11,7 @@ import { handle as moonshotHandler } from "../../moonshot";
import { handle as stabilityHandler } from "../../stability";
import { handle as iflytekHandler } from "../../iflytek";
import { handle as xaiHandler } from "../../xai";
import { handle as chatglmHandler } from "../../glm";
import { handle as proxyHandler } from "../../proxy";
async function handle(
@@ -41,6 +42,8 @@ async function handle(
return iflytekHandler(req, { params });
case ApiPath.XAI:
return xaiHandler(req, { params });
case ApiPath.ChatGLM:
return chatglmHandler(req, { params });
case ApiPath.OpenAI:
return openaiHandler(req, { params });
default:

View File

@@ -95,6 +95,9 @@ export function auth(req: NextRequest, modelProvider: ModelProvider) {
case ModelProvider.XAI:
systemApiKey = serverConfig.xaiApiKey;
break;
case ModelProvider.ChatGLM:
systemApiKey = serverConfig.chatglmApiKey;
break;
case ModelProvider.GPT:
default:
if (req.nextUrl.pathname.includes("azure/deployments")) {

View File

@@ -1,8 +1,8 @@
import { NextRequest, NextResponse } from "next/server";
import { getServerSideConfig } from "../config/server";
import { OPENAI_BASE_URL, ServiceProvider } from "../constant";
import { isModelAvailableInServer } from "../utils/model";
import { cloudflareAIGatewayUrl } from "../utils/cloudflare";
import { getModelProvider, isModelAvailableInServer } from "../utils/model";
const serverConfig = getServerSideConfig();
@@ -71,7 +71,7 @@ export async function requestOpenai(req: NextRequest) {
.filter((v) => !!v && !v.startsWith("-") && v.includes(modelName))
.forEach((m) => {
const [fullName, displayName] = m.split("=");
const [_, providerName] = fullName.split("@");
const [_, providerName] = getModelProvider(fullName);
if (providerName === "azure" && !displayName) {
const [_, deployId] = (serverConfig?.azureUrl ?? "").split(
"deployments/",

129
app/api/glm.ts Normal file
View File

@@ -0,0 +1,129 @@
import { getServerSideConfig } from "@/app/config/server";
import {
CHATGLM_BASE_URL,
ApiPath,
ModelProvider,
ServiceProvider,
} from "@/app/constant";
import { prettyObject } from "@/app/utils/format";
import { NextRequest, NextResponse } from "next/server";
import { auth } from "@/app/api/auth";
import { isModelAvailableInServer } from "@/app/utils/model";
const serverConfig = getServerSideConfig();
export async function handle(
req: NextRequest,
{ params }: { params: { path: string[] } },
) {
console.log("[GLM Route] params ", params);
if (req.method === "OPTIONS") {
return NextResponse.json({ body: "OK" }, { status: 200 });
}
const authResult = auth(req, ModelProvider.ChatGLM);
if (authResult.error) {
return NextResponse.json(authResult, {
status: 401,
});
}
try {
const response = await request(req);
return response;
} catch (e) {
console.error("[GLM] ", e);
return NextResponse.json(prettyObject(e));
}
}
async function request(req: NextRequest) {
const controller = new AbortController();
// alibaba use base url or just remove the path
let path = `${req.nextUrl.pathname}`.replaceAll(ApiPath.ChatGLM, "");
let baseUrl = serverConfig.chatglmUrl || CHATGLM_BASE_URL;
if (!baseUrl.startsWith("http")) {
baseUrl = `https://${baseUrl}`;
}
if (baseUrl.endsWith("/")) {
baseUrl = baseUrl.slice(0, -1);
}
console.log("[Proxy] ", path);
console.log("[Base Url]", baseUrl);
const timeoutId = setTimeout(
() => {
controller.abort();
},
10 * 60 * 1000,
);
const fetchUrl = `${baseUrl}${path}`;
console.log("[Fetch Url] ", fetchUrl);
const fetchOptions: RequestInit = {
headers: {
"Content-Type": "application/json",
Authorization: req.headers.get("Authorization") ?? "",
},
method: req.method,
body: req.body,
redirect: "manual",
// @ts-ignore
duplex: "half",
signal: controller.signal,
};
// #1815 try to refuse some request to some models
if (serverConfig.customModels && req.body) {
try {
const clonedBody = await req.text();
fetchOptions.body = clonedBody;
const jsonBody = JSON.parse(clonedBody) as { model?: string };
// not undefined and is false
if (
isModelAvailableInServer(
serverConfig.customModels,
jsonBody?.model as string,
ServiceProvider.ChatGLM as string,
)
) {
return NextResponse.json(
{
error: true,
message: `you are not allowed to use ${jsonBody?.model} model`,
},
{
status: 403,
},
);
}
} catch (e) {
console.error(`[GLM] filter`, e);
}
}
try {
const res = await fetch(fetchUrl, fetchOptions);
// to prevent browser prompt for credentials
const newHeaders = new Headers(res.headers);
newHeaders.delete("www-authenticate");
// to disable nginx buffering
newHeaders.set("X-Accel-Buffering", "no");
return new Response(res.body, {
status: res.status,
statusText: res.statusText,
headers: newHeaders,
});
} finally {
clearTimeout(timeoutId);
}
}

View File

@@ -1,4 +1,5 @@
import { NextRequest, NextResponse } from "next/server";
import { getServerSideConfig } from "@/app/config/server";
export async function handle(
req: NextRequest,
@@ -9,6 +10,7 @@ export async function handle(
if (req.method === "OPTIONS") {
return NextResponse.json({ body: "OK" }, { status: 200 });
}
const serverConfig = getServerSideConfig();
// remove path params from searchParams
req.nextUrl.searchParams.delete("path");
@@ -31,6 +33,18 @@ export async function handle(
return true;
}),
);
// if dalle3 use openai api key
const baseUrl = req.headers.get("x-base-url");
if (baseUrl?.includes("api.openai.com")) {
if (!serverConfig.apiKey) {
return NextResponse.json(
{ error: "OpenAI API key not configured" },
{ status: 500 },
);
}
headers.set("Authorization", `Bearer ${serverConfig.apiKey}`);
}
const controller = new AbortController();
const fetchOptions: RequestInit = {
headers,

View File

@@ -21,6 +21,7 @@ import { HunyuanApi } from "./platforms/tencent";
import { MoonshotApi } from "./platforms/moonshot";
import { SparkApi } from "./platforms/iflytek";
import { XAIApi } from "./platforms/xai";
import { ChatGLMApi } from "./platforms/glm";
export const ROLES = ["system", "user", "assistant"] as const;
export type MessageRole = (typeof ROLES)[number];
@@ -69,7 +70,7 @@ export interface ChatOptions {
config: LLMConfig;
onUpdate?: (message: string, chunk: string) => void;
onFinish: (message: string) => void;
onFinish: (message: string, responseRes: Response) => void;
onError?: (err: Error) => void;
onController?: (controller: AbortController) => void;
onBeforeTool?: (tool: ChatMessageTool) => void;
@@ -156,6 +157,9 @@ export class ClientApi {
case ModelProvider.XAI:
this.llm = new XAIApi();
break;
case ModelProvider.ChatGLM:
this.llm = new ChatGLMApi();
break;
default:
this.llm = new ChatGPTApi();
}
@@ -244,6 +248,7 @@ export function getHeaders(ignoreHeaders: boolean = false) {
const isMoonshot = modelConfig.providerName === ServiceProvider.Moonshot;
const isIflytek = modelConfig.providerName === ServiceProvider.Iflytek;
const isXAI = modelConfig.providerName === ServiceProvider.XAI;
const isChatGLM = modelConfig.providerName === ServiceProvider.ChatGLM;
const isEnabledAccessControl = accessStore.enabledAccessControl();
const apiKey = isGoogle
? accessStore.googleApiKey
@@ -259,6 +264,8 @@ export function getHeaders(ignoreHeaders: boolean = false) {
? accessStore.moonshotApiKey
: isXAI
? accessStore.xaiApiKey
: isChatGLM
? accessStore.chatglmApiKey
: isIflytek
? accessStore.iflytekApiKey && accessStore.iflytekApiSecret
? accessStore.iflytekApiKey + ":" + accessStore.iflytekApiSecret
@@ -274,6 +281,7 @@ export function getHeaders(ignoreHeaders: boolean = false) {
isMoonshot,
isIflytek,
isXAI,
isChatGLM,
apiKey,
isEnabledAccessControl,
};
@@ -338,6 +346,8 @@ export function getClientApi(provider: ServiceProvider): ClientApi {
return new ClientApi(ModelProvider.Iflytek);
case ServiceProvider.XAI:
return new ClientApi(ModelProvider.XAI);
case ServiceProvider.ChatGLM:
return new ClientApi(ModelProvider.ChatGLM);
default:
return new ClientApi(ModelProvider.GPT);
}

View File

@@ -143,6 +143,7 @@ export class QwenApi implements LLMApi {
let responseText = "";
let remainText = "";
let finished = false;
let responseRes: Response;
// animate response to make it looks smooth
function animateResponseText() {
@@ -172,7 +173,7 @@ export class QwenApi implements LLMApi {
const finish = () => {
if (!finished) {
finished = true;
options.onFinish(responseText + remainText);
options.onFinish(responseText + remainText, responseRes);
}
};
@@ -188,6 +189,7 @@ export class QwenApi implements LLMApi {
"[Alibaba] request response content type: ",
contentType,
);
responseRes = res;
if (contentType?.startsWith("text/plain")) {
responseText = await res.clone().text();
@@ -254,7 +256,7 @@ export class QwenApi implements LLMApi {
const resJson = await res.json();
const message = this.extractMessage(resJson);
options.onFinish(message);
options.onFinish(message, res);
}
} catch (e) {
console.log("[Request] failed to make a chat request", e);

View File

@@ -317,13 +317,14 @@ export class ClaudeApi implements LLMApi {
};
try {
controller.signal.onabort = () => options.onFinish("");
controller.signal.onabort = () =>
options.onFinish("", new Response(null, { status: 400 }));
const res = await fetch(path, payload);
const resJson = await res.json();
const message = this.extractMessage(resJson);
options.onFinish(message);
options.onFinish(message, res);
} catch (e) {
console.error("failed to chat", e);
options.onError?.(e as Error);

View File

@@ -162,6 +162,7 @@ export class ErnieApi implements LLMApi {
let responseText = "";
let remainText = "";
let finished = false;
let responseRes: Response;
// animate response to make it looks smooth
function animateResponseText() {
@@ -191,7 +192,7 @@ export class ErnieApi implements LLMApi {
const finish = () => {
if (!finished) {
finished = true;
options.onFinish(responseText + remainText);
options.onFinish(responseText + remainText, responseRes);
}
};
@@ -204,7 +205,7 @@ export class ErnieApi implements LLMApi {
clearTimeout(requestTimeoutId);
const contentType = res.headers.get("content-type");
console.log("[Baidu] request response content type: ", contentType);
responseRes = res;
if (contentType?.startsWith("text/plain")) {
responseText = await res.clone().text();
return finish();
@@ -267,7 +268,7 @@ export class ErnieApi implements LLMApi {
const resJson = await res.json();
const message = resJson?.result;
options.onFinish(message);
options.onFinish(message, res);
}
} catch (e) {
console.log("[Request] failed to make a chat request", e);

View File

@@ -130,6 +130,7 @@ export class DoubaoApi implements LLMApi {
let responseText = "";
let remainText = "";
let finished = false;
let responseRes: Response;
// animate response to make it looks smooth
function animateResponseText() {
@@ -159,7 +160,7 @@ export class DoubaoApi implements LLMApi {
const finish = () => {
if (!finished) {
finished = true;
options.onFinish(responseText + remainText);
options.onFinish(responseText + remainText, responseRes);
}
};
@@ -175,7 +176,7 @@ export class DoubaoApi implements LLMApi {
"[ByteDance] request response content type: ",
contentType,
);
responseRes = res;
if (contentType?.startsWith("text/plain")) {
responseText = await res.clone().text();
return finish();
@@ -241,7 +242,7 @@ export class DoubaoApi implements LLMApi {
const resJson = await res.json();
const message = this.extractMessage(resJson);
options.onFinish(message);
options.onFinish(message, res);
}
} catch (e) {
console.log("[Request] failed to make a chat request", e);

197
app/client/platforms/glm.ts Normal file
View File

@@ -0,0 +1,197 @@
"use client";
import {
ApiPath,
CHATGLM_BASE_URL,
ChatGLM,
REQUEST_TIMEOUT_MS,
} from "@/app/constant";
import {
useAccessStore,
useAppConfig,
useChatStore,
ChatMessageTool,
usePluginStore,
} from "@/app/store";
import { stream } from "@/app/utils/chat";
import {
ChatOptions,
getHeaders,
LLMApi,
LLMModel,
SpeechOptions,
} from "../api";
import { getClientConfig } from "@/app/config/client";
import { getMessageTextContent } from "@/app/utils";
import { RequestPayload } from "./openai";
import { fetch } from "@/app/utils/stream";
export class ChatGLMApi implements LLMApi {
private disableListModels = true;
path(path: string): string {
const accessStore = useAccessStore.getState();
let baseUrl = "";
if (accessStore.useCustomConfig) {
baseUrl = accessStore.chatglmUrl;
}
if (baseUrl.length === 0) {
const isApp = !!getClientConfig()?.isApp;
const apiPath = ApiPath.ChatGLM;
baseUrl = isApp ? CHATGLM_BASE_URL : apiPath;
}
if (baseUrl.endsWith("/")) {
baseUrl = baseUrl.slice(0, baseUrl.length - 1);
}
if (!baseUrl.startsWith("http") && !baseUrl.startsWith(ApiPath.ChatGLM)) {
baseUrl = "https://" + baseUrl;
}
console.log("[Proxy Endpoint] ", baseUrl, path);
return [baseUrl, path].join("/");
}
extractMessage(res: any) {
return res.choices?.at(0)?.message?.content ?? "";
}
speech(options: SpeechOptions): Promise<ArrayBuffer> {
throw new Error("Method not implemented.");
}
async chat(options: ChatOptions) {
const messages: ChatOptions["messages"] = [];
for (const v of options.messages) {
const content = getMessageTextContent(v);
messages.push({ role: v.role, content });
}
const modelConfig = {
...useAppConfig.getState().modelConfig,
...useChatStore.getState().currentSession().mask.modelConfig,
...{
model: options.config.model,
providerName: options.config.providerName,
},
};
const requestPayload: RequestPayload = {
messages,
stream: options.config.stream,
model: modelConfig.model,
temperature: modelConfig.temperature,
presence_penalty: modelConfig.presence_penalty,
frequency_penalty: modelConfig.frequency_penalty,
top_p: modelConfig.top_p,
};
console.log("[Request] glm payload: ", requestPayload);
const shouldStream = !!options.config.stream;
const controller = new AbortController();
options.onController?.(controller);
try {
const chatPath = this.path(ChatGLM.ChatPath);
const chatPayload = {
method: "POST",
body: JSON.stringify(requestPayload),
signal: controller.signal,
headers: getHeaders(),
};
// make a fetch request
const requestTimeoutId = setTimeout(
() => controller.abort(),
REQUEST_TIMEOUT_MS,
);
if (shouldStream) {
const [tools, funcs] = usePluginStore
.getState()
.getAsTools(
useChatStore.getState().currentSession().mask?.plugin || [],
);
return stream(
chatPath,
requestPayload,
getHeaders(),
tools as any,
funcs,
controller,
// parseSSE
(text: string, runTools: ChatMessageTool[]) => {
// console.log("parseSSE", text, runTools);
const json = JSON.parse(text);
const choices = json.choices as Array<{
delta: {
content: string;
tool_calls: ChatMessageTool[];
};
}>;
const tool_calls = choices[0]?.delta?.tool_calls;
if (tool_calls?.length > 0) {
const index = tool_calls[0]?.index;
const id = tool_calls[0]?.id;
const args = tool_calls[0]?.function?.arguments;
if (id) {
runTools.push({
id,
type: tool_calls[0]?.type,
function: {
name: tool_calls[0]?.function?.name as string,
arguments: args,
},
});
} else {
// @ts-ignore
runTools[index]["function"]["arguments"] += args;
}
}
return choices[0]?.delta?.content;
},
// processToolMessage, include tool_calls message and tool call results
(
requestPayload: RequestPayload,
toolCallMessage: any,
toolCallResult: any[],
) => {
// @ts-ignore
requestPayload?.messages?.splice(
// @ts-ignore
requestPayload?.messages?.length,
0,
toolCallMessage,
...toolCallResult,
);
},
options,
);
} else {
const res = await fetch(chatPath, chatPayload);
clearTimeout(requestTimeoutId);
const resJson = await res.json();
const message = this.extractMessage(resJson);
options.onFinish(message, res);
}
} catch (e) {
console.log("[Request] failed to make a chat request", e);
options.onError?.(e as Error);
}
}
async usage() {
return {
used: 0,
total: 0,
};
}
async models(): Promise<LLMModel[]> {
return [];
}
}

View File

@@ -193,7 +193,8 @@ export class GeminiProApi implements LLMApi {
getHeaders(),
// @ts-ignore
tools.length > 0
? [{ functionDeclarations: tools.map((tool) => tool.function) }]
? // @ts-ignore
[{ functionDeclarations: tools.map((tool) => tool.function) }]
: [],
funcs,
controller,
@@ -273,7 +274,7 @@ export class GeminiProApi implements LLMApi {
);
}
const message = apiClient.extractMessage(resJson);
options.onFinish(message);
options.onFinish(message, res);
}
} catch (e) {
console.log("[Request] failed to make a chat request", e);

View File

@@ -117,6 +117,7 @@ export class SparkApi implements LLMApi {
let responseText = "";
let remainText = "";
let finished = false;
let responseRes: Response;
// Animate response text to make it look smooth
function animateResponseText() {
@@ -143,7 +144,7 @@ export class SparkApi implements LLMApi {
const finish = () => {
if (!finished) {
finished = true;
options.onFinish(responseText + remainText);
options.onFinish(responseText + remainText, responseRes);
}
};
@@ -156,7 +157,7 @@ export class SparkApi implements LLMApi {
clearTimeout(requestTimeoutId);
const contentType = res.headers.get("content-type");
console.log("[Spark] request response content type: ", contentType);
responseRes = res;
if (contentType?.startsWith("text/plain")) {
responseText = await res.clone().text();
return finish();
@@ -231,7 +232,7 @@ export class SparkApi implements LLMApi {
const resJson = await res.json();
const message = this.extractMessage(resJson);
options.onFinish(message);
options.onFinish(message, res);
}
} catch (e) {
console.log("[Request] failed to make a chat request", e);

View File

@@ -180,7 +180,7 @@ export class MoonshotApi implements LLMApi {
const resJson = await res.json();
const message = this.extractMessage(resJson);
options.onFinish(message);
options.onFinish(message, res);
}
} catch (e) {
console.log("[Request] failed to make a chat request", e);

View File

@@ -65,6 +65,7 @@ export interface RequestPayload {
frequency_penalty: number;
top_p: number;
max_tokens?: number;
max_completion_tokens?: number;
}
export interface DalleRequestPayload {
@@ -233,6 +234,11 @@ export class ChatGPTApi implements LLMApi {
// Please do not ask me why not send max_tokens, no reason, this param is just shit, I dont want to explain anymore.
};
// O1 使用 max_completion_tokens 控制token数 (https://platform.openai.com/docs/guides/reasoning#controlling-costs)
if (isO1) {
requestPayload["max_completion_tokens"] = modelConfig.max_tokens;
}
// add max_tokens to vision model
if (visionModel) {
requestPayload["max_tokens"] = Math.max(modelConfig.max_tokens, 4000);
@@ -361,7 +367,7 @@ export class ChatGPTApi implements LLMApi {
const resJson = await res.json();
const message = await this.extractMessage(resJson);
options.onFinish(message);
options.onFinish(message, res);
}
} catch (e) {
console.log("[Request] failed to make a chat request", e);

View File

@@ -142,6 +142,7 @@ export class HunyuanApi implements LLMApi {
let responseText = "";
let remainText = "";
let finished = false;
let responseRes: Response;
// animate response to make it looks smooth
function animateResponseText() {
@@ -171,7 +172,7 @@ export class HunyuanApi implements LLMApi {
const finish = () => {
if (!finished) {
finished = true;
options.onFinish(responseText + remainText);
options.onFinish(responseText + remainText, responseRes);
}
};
@@ -187,7 +188,7 @@ export class HunyuanApi implements LLMApi {
"[Tencent] request response content type: ",
contentType,
);
responseRes = res;
if (contentType?.startsWith("text/plain")) {
responseText = await res.clone().text();
return finish();
@@ -253,7 +254,7 @@ export class HunyuanApi implements LLMApi {
const resJson = await res.json();
const message = this.extractMessage(resJson);
options.onFinish(message);
options.onFinish(message, res);
}
} catch (e) {
console.log("[Request] failed to make a chat request", e);

View File

@@ -173,7 +173,7 @@ export class XAIApi implements LLMApi {
const resJson = await res.json();
const message = this.extractMessage(resJson);
options.onFinish(message);
options.onFinish(message, res);
}
} catch (e) {
console.log("[Request] failed to make a chat request", e);

View File

@@ -18,6 +18,8 @@ import {
trackSettingsPageGuideToCPaymentClick,
trackAuthorizationPageButtonToCPaymentClick,
} from "../utils/auth-settings-events";
import clsx from "clsx";
const storage = safeLocalStorage();
export function AuthPage() {
@@ -54,7 +56,7 @@ export function AuthPage() {
onClick={() => navigate(Path.Home)}
></IconButton>
</div>
<div className={`no-dark ${styles["auth-logo"]}`}>
<div className={clsx("no-dark", styles["auth-logo"])}>
<BotIcon />
</div>
@@ -163,7 +165,7 @@ function TopBanner() {
onMouseEnter={handleMouseEnter}
onMouseLeave={handleMouseLeave}
>
<div className={`${styles["top-banner-inner"]} no-dark`}>
<div className={clsx(styles["top-banner-inner"], "no-dark")}>
<Logo className={styles["top-banner-logo"]}></Logo>
<span>
{Locale.Auth.TopTips}

View File

@@ -2,6 +2,7 @@ import * as React from "react";
import styles from "./button.module.scss";
import { CSSProperties } from "react";
import clsx from "clsx";
export type ButtonType = "primary" | "danger" | null;
@@ -22,12 +23,16 @@ export function IconButton(props: {
}) {
return (
<button
className={
styles["icon-button"] +
` ${props.bordered && styles.border} ${props.shadow && styles.shadow} ${
props.className ?? ""
} clickable ${styles[props.type ?? ""]}`
}
className={clsx(
"clickable",
styles["icon-button"],
{
[styles.border]: props.bordered,
[styles.shadow]: props.shadow,
},
styles[props.type ?? ""],
props.className,
)}
onClick={props.onClick}
title={props.title}
disabled={props.disabled}
@@ -40,10 +45,9 @@ export function IconButton(props: {
{props.icon && (
<div
aria-label={props.text || props.title}
className={
styles["icon-button-icon"] +
` ${props.type === "primary" && "no-dark"}`
}
className={clsx(styles["icon-button-icon"], {
"no-dark": props.type === "primary",
})}
>
{props.icon}
</div>

View File

@@ -18,6 +18,7 @@ import { Mask } from "../store/mask";
import { useRef, useEffect } from "react";
import { showConfirm } from "./ui-lib";
import { useMobileScreen } from "../utils";
import clsx from "clsx";
export function ChatItem(props: {
onClick?: () => void;
@@ -45,11 +46,11 @@ export function ChatItem(props: {
<Draggable draggableId={`${props.id}`} index={props.index}>
{(provided) => (
<div
className={`${styles["chat-item"]} ${
props.selected &&
(currentPath === Path.Chat || currentPath === Path.Home) &&
styles["chat-item-selected"]
}`}
className={clsx(styles["chat-item"], {
[styles["chat-item-selected"]]:
props.selected &&
(currentPath === Path.Chat || currentPath === Path.Home),
})}
onClick={props.onClick}
ref={(ele) => {
draggableRef.current = ele;
@@ -63,7 +64,7 @@ export function ChatItem(props: {
>
{props.narrow ? (
<div className={styles["chat-item-narrow"]}>
<div className={styles["chat-item-avatar"] + " no-dark"}>
<div className={clsx(styles["chat-item-avatar"], "no-dark")}>
<MaskAvatar
avatar={props.mask.avatar}
model={props.mask.modelConfig.model}

View File

@@ -45,6 +45,14 @@
.chat-input-actions {
display: flex;
flex-wrap: wrap;
justify-content: space-between;
gap: 5px;
&-end {
display: flex;
margin-left: auto;
gap: 5px;
}
.chat-input-action {
display: inline-flex;
@@ -62,10 +70,6 @@
width: var(--icon-width);
overflow: hidden;
&:not(:last-child) {
margin-right: 5px;
}
.text {
white-space: nowrap;
padding-left: 5px;
@@ -231,10 +235,12 @@
animation: slide-in ease 0.3s;
$linear: linear-gradient(to right,
rgba(0, 0, 0, 0),
rgba(0, 0, 0, 1),
rgba(0, 0, 0, 0));
$linear: linear-gradient(
to right,
rgba(0, 0, 0, 0),
rgba(0, 0, 0, 1),
rgba(0, 0, 0, 0)
);
mask-image: $linear;
@mixin show {
@@ -373,7 +379,7 @@
}
}
.chat-message-user>.chat-message-container {
.chat-message-user > .chat-message-container {
align-items: flex-end;
}
@@ -443,6 +449,25 @@
transition: all ease 0.3s;
}
.chat-message-audio {
display: flex;
align-items: center;
justify-content: space-between;
border-radius: 10px;
background-color: rgba(0, 0, 0, 0.05);
border: var(--border-in-light);
position: relative;
transition: all ease 0.3s;
margin-top: 10px;
font-size: 14px;
user-select: text;
word-break: break-word;
box-sizing: border-box;
audio {
height: 30px; /* 调整高度 */
}
}
.chat-message-item-image {
width: 100%;
margin-top: 10px;
@@ -471,23 +496,27 @@
border: rgba($color: #888, $alpha: 0.2) 1px solid;
}
@media only screen and (max-width: 600px) {
$calc-image-width: calc(100vw/3*2/var(--image-count));
$calc-image-width: calc(100vw / 3 * 2 / var(--image-count));
.chat-message-item-image-multi {
width: $calc-image-width;
height: $calc-image-width;
}
.chat-message-item-image {
max-width: calc(100vw/3*2);
max-width: calc(100vw / 3 * 2);
}
}
@media screen and (min-width: 600px) {
$max-image-width: calc(calc(1200px - var(--sidebar-width))/3*2/var(--image-count));
$image-width: calc(calc(var(--window-width) - var(--sidebar-width))/3*2/var(--image-count));
$max-image-width: calc(
calc(1200px - var(--sidebar-width)) / 3 * 2 / var(--image-count)
);
$image-width: calc(
calc(var(--window-width) - var(--sidebar-width)) / 3 * 2 /
var(--image-count)
);
.chat-message-item-image-multi {
width: $image-width;
@@ -497,7 +526,7 @@
}
.chat-message-item-image {
max-width: calc(calc(1200px - var(--sidebar-width))/3*2);
max-width: calc(calc(1200px - var(--sidebar-width)) / 3 * 2);
}
}
@@ -515,7 +544,7 @@
z-index: 1;
}
.chat-message-user>.chat-message-container>.chat-message-item {
.chat-message-user > .chat-message-container > .chat-message-item {
background-color: var(--second);
&:hover {
@@ -626,7 +655,8 @@
min-height: 68px;
}
.chat-input:focus {}
.chat-input:focus {
}
.chat-input-send {
background-color: var(--primary);
@@ -693,4 +723,31 @@
.shortcut-key span {
font-size: 12px;
color: var(--black);
}
}
.chat-main {
display: flex;
height: 100%;
width: 100%;
position: relative;
overflow: hidden;
.chat-body-container {
height: 100%;
display: flex;
flex-direction: column;
flex: 1;
width: 100%;
}
.chat-side-panel {
position: absolute;
inset: 0;
background: var(--white);
overflow: hidden;
z-index: 10;
transform: translateX(100%);
transition: all ease 0.3s;
&-show {
transform: translateX(0);
}
}
}

File diff suppressed because it is too large Load Diff

View File

@@ -40,6 +40,7 @@ import { EXPORT_MESSAGE_CLASS_NAME } from "../constant";
import { getClientConfig } from "../config/client";
import { type ClientApi, getClientApi } from "../client/api";
import { getMessageTextContent } from "../utils";
import clsx from "clsx";
const Markdown = dynamic(async () => (await import("./markdown")).Markdown, {
loading: () => <LoadingIcon />,
@@ -118,9 +119,10 @@ function Steps<
return (
<div
key={i}
className={`${styles["step"]} ${
styles[i <= props.index ? "step-finished" : ""]
} ${i === props.index && styles["step-current"]} clickable`}
className={clsx("clickable", styles["step"], {
[styles["step-finished"]]: i <= props.index,
[styles["step-current"]]: i === props.index,
})}
onClick={() => {
props.onStepChange?.(i);
}}
@@ -525,11 +527,11 @@ export function ImagePreviewer(props: {
messages={props.messages}
/>
<div
className={`${styles["preview-body"]} ${styles["default-theme"]}`}
className={clsx(styles["preview-body"], styles["default-theme"])}
ref={previewRef}
>
<div className={styles["chat-info"]}>
<div className={styles["logo"] + " no-dark"}>
<div className={clsx(styles["logo"], "no-dark")}>
<NextImage
src={ChatGptIcon.src}
alt="logo"
@@ -570,7 +572,7 @@ export function ImagePreviewer(props: {
{props.messages.map((m, i) => {
return (
<div
className={styles["message"] + " " + styles["message-" + m.role]}
className={clsx(styles["message"], styles["message-" + m.role])}
key={i}
>
<div className={styles["avatar"]}>

View File

@@ -3,7 +3,6 @@
require("../polyfill");
import { useState, useEffect } from "react";
import styles from "./home.module.scss";
import BotIcon from "../icons/bot.svg";
@@ -29,10 +28,11 @@ import { AuthPage } from "./auth";
import { getClientConfig } from "../config/client";
import { type ClientApi, getClientApi } from "../client/api";
import { useAccessStore } from "../store";
import clsx from "clsx";
export function Loading(props: { noLogo?: boolean }) {
return (
<div className={styles["loading-content"] + " no-dark"}>
<div className={clsx("no-dark", styles["loading-content"])}>
{!props.noLogo && <BotIcon />}
<LoadingIcon />
</div>
@@ -179,7 +179,11 @@ function Screen() {
if (isSdNew) return <Sd />;
return (
<>
<SideBar className={isHome ? styles["sidebar-show"] : ""} />
<SideBar
className={clsx({
[styles["sidebar-show"]]: isHome,
})}
/>
<WindowContent>
<Routes>
<Route path={Path.Home} element={<Chat />} />
@@ -197,9 +201,10 @@ function Screen() {
return (
<div
className={`${styles.container} ${
shouldTightBorder ? styles["tight-container"] : styles.container
} ${getLang() === "ar" ? styles["rtl-screen"] : ""}`}
className={clsx(styles.container, {
[styles["tight-container"]]: shouldTightBorder,
[styles["rtl-screen"]]: getLang() === "ar",
})}
>
{renderContent()}
</div>

View File

@@ -1,5 +1,6 @@
import * as React from "react";
import styles from "./input-range.module.scss";
import clsx from "clsx";
interface InputRangeProps {
onChange: React.ChangeEventHandler<HTMLInputElement>;
@@ -23,7 +24,7 @@ export function InputRange({
aria,
}: InputRangeProps) {
return (
<div className={styles["input-range"] + ` ${className ?? ""}`}>
<div className={clsx(styles["input-range"], className)}>
{title || value}
<input
aria-label={aria}

View File

@@ -23,6 +23,7 @@ import { useChatStore } from "../store";
import { IconButton } from "./button";
import { useAppConfig } from "../store/config";
import clsx from "clsx";
export function Mermaid(props: { code: string }) {
const ref = useRef<HTMLDivElement>(null);
@@ -57,7 +58,7 @@ export function Mermaid(props: { code: string }) {
return (
<div
className="no-dark mermaid"
className={clsx("no-dark", "mermaid")}
style={{
cursor: "pointer",
overflow: "auto",
@@ -193,7 +194,12 @@ function CustomCode(props: { children: any; className?: string }) {
const renderShowMoreButton = () => {
if (showToggle && enableCodeFold && collapsed) {
return (
<div className={`show-hide-button ${collapsed ? "collapsed" : "expanded"}`}>
<div
className={clsx("show-hide-button", {
collapsed,
expanded: !collapsed,
})}
>
<button onClick={toggleCollapsed}>{Locale.NewChat.More}</button>
</div>
);
@@ -203,7 +209,7 @@ function CustomCode(props: { children: any; className?: string }) {
return (
<>
<code
className={props?.className}
className={clsx(props?.className)}
ref={ref}
style={{
maxHeight: enableCodeFold && collapsed ? "400px" : "none",

View File

@@ -55,6 +55,7 @@ import {
OnDragEndResponder,
} from "@hello-pangea/dnd";
import { getMessageTextContent } from "../utils";
import clsx from "clsx";
// drag and drop helper function
function reorder<T>(list: T[], startIndex: number, endIndex: number): T[] {
@@ -588,7 +589,7 @@ export function MaskPage() {
</div>
<div className={styles["mask-title"]}>
<div className={styles["mask-name"]}>{m.name}</div>
<div className={styles["mask-info"] + " one-line"}>
<div className={clsx(styles["mask-info"], "one-line")}>
{`${Locale.Mask.Item.Info(m.context.length)} / ${
ALL_LANG_OPTIONS[m.lang]
} / ${m.modelConfig.model}`}

View File

@@ -8,6 +8,7 @@ import Locale from "../locales";
import styles from "./message-selector.module.scss";
import { getMessageTextContent } from "../utils";
import clsx from "clsx";
function useShiftRange() {
const [startIndex, setStartIndex] = useState<number>();
@@ -71,6 +72,7 @@ export function MessageSelector(props: {
defaultSelectAll?: boolean;
onSelected?: (messages: ChatMessage[]) => void;
}) {
const LATEST_COUNT = 4;
const chatStore = useChatStore();
const session = chatStore.currentSession();
const isValid = (m: ChatMessage) => m.content && !m.isError && !m.streaming;
@@ -141,15 +143,13 @@ export function MessageSelector(props: {
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [startIndex, endIndex]);
const LATEST_COUNT = 4;
return (
<div className={styles["message-selector"]}>
<div className={styles["message-filter"]}>
<input
type="text"
placeholder={Locale.Select.Search}
className={styles["filter-item"] + " " + styles["search-bar"]}
className={clsx(styles["filter-item"], styles["search-bar"])}
value={searchInput}
onInput={(e) => {
setSearchInput(e.currentTarget.value);
@@ -196,9 +196,9 @@ export function MessageSelector(props: {
return (
<div
className={`${styles["message"]} ${
props.selection.has(m.id!) && styles["message-selected"]
}`}
className={clsx(styles["message"], {
[styles["message-selected"]]: props.selection.has(m.id!),
})}
key={i}
onClick={() => {
props.updateSelection((selection) => {
@@ -221,7 +221,7 @@ export function MessageSelector(props: {
<div className={styles["date"]}>
{new Date(m.date).toLocaleString()}
</div>
<div className={`${styles["content"]} one-line`}>
<div className={clsx(styles["content"], "one-line")}>
{getMessageTextContent(m)}
</div>
</div>

View File

@@ -7,6 +7,7 @@ import { ListItem, Select } from "./ui-lib";
import { useAllModels } from "../utils/hooks";
import { groupBy } from "lodash-es";
import styles from "./model-config.module.scss";
import { getModelProvider } from "../utils/model";
export function ModelConfigList(props: {
modelConfig: ModelConfig;
@@ -28,7 +29,9 @@ export function ModelConfigList(props: {
value={value}
align="left"
onChange={(e) => {
const [model, providerName] = e.currentTarget.value.split("@");
const [model, providerName] = getModelProvider(
e.currentTarget.value,
);
props.updateConfig((config) => {
config.model = ModalConfigValidator.model(model);
config.providerName = providerName as ServiceProvider;
@@ -247,7 +250,9 @@ export function ModelConfigList(props: {
aria-label={Locale.Settings.CompressModel.Title}
value={compressModelValue}
onChange={(e) => {
const [model, providerName] = e.currentTarget.value.split("@");
const [model, providerName] = getModelProvider(
e.currentTarget.value,
);
props.updateConfig((config) => {
config.compressModel = ModalConfigValidator.model(model);
config.compressProviderName = providerName as ServiceProvider;

View File

@@ -16,6 +16,7 @@ import { MaskAvatar } from "./mask";
import { useCommand } from "../command";
import { showConfirm } from "./ui-lib";
import { BUILTIN_MASK_STORE } from "../masks";
import clsx from "clsx";
function MaskItem(props: { mask: Mask; onClick?: () => void }) {
return (
@@ -24,7 +25,9 @@ function MaskItem(props: { mask: Mask; onClick?: () => void }) {
avatar={props.mask.avatar}
model={props.mask.modelConfig.model}
/>
<div className={styles["mask-name"] + " one-line"}>{props.mask.name}</div>
<div className={clsx(styles["mask-name"], "one-line")}>
{props.mask.name}
</div>
</div>
);
}

View File

@@ -28,6 +28,7 @@ import {
import Locale from "../locales";
import { useNavigate } from "react-router-dom";
import { useState } from "react";
import clsx from "clsx";
export function PluginPage() {
const navigate = useNavigate();
@@ -199,7 +200,7 @@ export function PluginPage() {
<div className={styles["mask-name"]}>
{m.title}@<small>{m.version}</small>
</div>
<div className={styles["mask-info"] + " one-line"}>
<div className={clsx(styles["mask-info"], "one-line")}>
{Locale.Plugin.Item.Info(
FunctionToolService.add(m).length,
)}
@@ -335,7 +336,10 @@ export function PluginPage() {
<ListItem
subTitle={
<div
className={`markdown-body ${pluginStyles["plugin-content"]}`}
className={clsx(
"markdown-body",
pluginStyles["plugin-content"],
)}
dir="auto"
>
<pre>

View File

@@ -0,0 +1 @@
export * from "./realtime-chat";

View File

@@ -0,0 +1,74 @@
.realtime-chat {
width: 100%;
justify-content: center;
align-items: center;
position: relative;
display: flex;
flex-direction: column;
height: 100%;
padding: 20px;
box-sizing: border-box;
.circle-mic {
width: 150px;
height: 150px;
border-radius: 50%;
background: linear-gradient(to bottom right, #a0d8ef, #f0f8ff);
display: flex;
justify-content: center;
align-items: center;
}
.icon-center {
font-size: 24px;
}
.bottom-icons {
display: flex;
justify-content: space-between;
align-items: center;
width: 100%;
position: absolute;
bottom: 20px;
box-sizing: border-box;
padding: 0 20px;
}
.icon-left,
.icon-right {
width: 46px;
height: 46px;
font-size: 36px;
background: var(--second);
border-radius: 50%;
padding: 2px;
display: flex;
justify-content: center;
align-items: center;
cursor: pointer;
&:hover {
opacity: 0.8;
}
}
&.mobile {
display: none;
}
}
.pulse {
animation: pulse 1.5s infinite;
}
@keyframes pulse {
0% {
transform: scale(1);
opacity: 0.7;
}
50% {
transform: scale(1.1);
opacity: 1;
}
100% {
transform: scale(1);
opacity: 0.7;
}
}

View File

@@ -0,0 +1,359 @@
import VoiceIcon from "@/app/icons/voice.svg";
import VoiceOffIcon from "@/app/icons/voice-off.svg";
import PowerIcon from "@/app/icons/power.svg";
import styles from "./realtime-chat.module.scss";
import clsx from "clsx";
import { useState, useRef, useEffect } from "react";
import { useChatStore, createMessage, useAppConfig } from "@/app/store";
import { IconButton } from "@/app/components/button";
import {
Modality,
RTClient,
RTInputAudioItem,
RTResponse,
TurnDetection,
} from "rt-client";
import { AudioHandler } from "@/app/lib/audio";
import { uploadImage } from "@/app/utils/chat";
import { VoicePrint } from "@/app/components/voice-print";
interface RealtimeChatProps {
onClose?: () => void;
onStartVoice?: () => void;
onPausedVoice?: () => void;
}
export function RealtimeChat({
onClose,
onStartVoice,
onPausedVoice,
}: RealtimeChatProps) {
const chatStore = useChatStore();
const session = chatStore.currentSession();
const config = useAppConfig();
const [status, setStatus] = useState("");
const [isRecording, setIsRecording] = useState(false);
const [isConnected, setIsConnected] = useState(false);
const [isConnecting, setIsConnecting] = useState(false);
const [modality, setModality] = useState("audio");
const [useVAD, setUseVAD] = useState(true);
const [frequencies, setFrequencies] = useState<Uint8Array | undefined>();
const clientRef = useRef<RTClient | null>(null);
const audioHandlerRef = useRef<AudioHandler | null>(null);
const initRef = useRef(false);
const temperature = config.realtimeConfig.temperature;
const apiKey = config.realtimeConfig.apiKey;
const model = config.realtimeConfig.model;
const azure = config.realtimeConfig.provider === "Azure";
const azureEndpoint = config.realtimeConfig.azure.endpoint;
const azureDeployment = config.realtimeConfig.azure.deployment;
const voice = config.realtimeConfig.voice;
const handleConnect = async () => {
if (isConnecting) return;
if (!isConnected) {
try {
setIsConnecting(true);
clientRef.current = azure
? new RTClient(
new URL(azureEndpoint),
{ key: apiKey },
{ deployment: azureDeployment },
)
: new RTClient({ key: apiKey }, { model });
const modalities: Modality[] =
modality === "audio" ? ["text", "audio"] : ["text"];
const turnDetection: TurnDetection = useVAD
? { type: "server_vad" }
: null;
await clientRef.current.configure({
instructions: "",
voice,
input_audio_transcription: { model: "whisper-1" },
turn_detection: turnDetection,
tools: [],
temperature,
modalities,
});
startResponseListener();
setIsConnected(true);
// TODO
// try {
// const recentMessages = chatStore.getMessagesWithMemory();
// for (const message of recentMessages) {
// const { role, content } = message;
// if (typeof content === "string") {
// await clientRef.current.sendItem({
// type: "message",
// role: role as any,
// content: [
// {
// type: (role === "assistant" ? "text" : "input_text") as any,
// text: content as string,
// },
// ],
// });
// }
// }
// // await clientRef.current.generateResponse();
// } catch (error) {
// console.error("Set message failed:", error);
// }
} catch (error) {
console.error("Connection failed:", error);
setStatus("Connection failed");
} finally {
setIsConnecting(false);
}
} else {
await disconnect();
}
};
const disconnect = async () => {
if (clientRef.current) {
try {
await clientRef.current.close();
clientRef.current = null;
setIsConnected(false);
} catch (error) {
console.error("Disconnect failed:", error);
}
}
};
const startResponseListener = async () => {
if (!clientRef.current) return;
try {
for await (const serverEvent of clientRef.current.events()) {
if (serverEvent.type === "response") {
await handleResponse(serverEvent);
} else if (serverEvent.type === "input_audio") {
await handleInputAudio(serverEvent);
}
}
} catch (error) {
if (clientRef.current) {
console.error("Response iteration error:", error);
}
}
};
const handleResponse = async (response: RTResponse) => {
for await (const item of response) {
if (item.type === "message" && item.role === "assistant") {
const botMessage = createMessage({
role: item.role,
content: "",
});
// add bot message first
chatStore.updateTargetSession(session, (session) => {
session.messages = session.messages.concat([botMessage]);
});
let hasAudio = false;
for await (const content of item) {
if (content.type === "text") {
for await (const text of content.textChunks()) {
botMessage.content += text;
}
} else if (content.type === "audio") {
const textTask = async () => {
for await (const text of content.transcriptChunks()) {
botMessage.content += text;
}
};
const audioTask = async () => {
audioHandlerRef.current?.startStreamingPlayback();
for await (const audio of content.audioChunks()) {
hasAudio = true;
audioHandlerRef.current?.playChunk(audio);
}
};
await Promise.all([textTask(), audioTask()]);
}
// update message.content
chatStore.updateTargetSession(session, (session) => {
session.messages = session.messages.concat();
});
}
if (hasAudio) {
// upload audio get audio_url
const blob = audioHandlerRef.current?.savePlayFile();
uploadImage(blob!).then((audio_url) => {
botMessage.audio_url = audio_url;
// update text and audio_url
chatStore.updateTargetSession(session, (session) => {
session.messages = session.messages.concat();
});
});
}
}
}
};
const handleInputAudio = async (item: RTInputAudioItem) => {
await item.waitForCompletion();
if (item.transcription) {
const userMessage = createMessage({
role: "user",
content: item.transcription,
});
chatStore.updateTargetSession(session, (session) => {
session.messages = session.messages.concat([userMessage]);
});
// save input audio_url, and update session
const { audioStartMillis, audioEndMillis } = item;
// upload audio get audio_url
const blob = audioHandlerRef.current?.saveRecordFile(
audioStartMillis,
audioEndMillis,
);
uploadImage(blob!).then((audio_url) => {
userMessage.audio_url = audio_url;
chatStore.updateTargetSession(session, (session) => {
session.messages = session.messages.concat();
});
});
}
// stop streaming play after get input audio.
audioHandlerRef.current?.stopStreamingPlayback();
};
const toggleRecording = async () => {
if (!isRecording && clientRef.current) {
try {
if (!audioHandlerRef.current) {
audioHandlerRef.current = new AudioHandler();
await audioHandlerRef.current.initialize();
}
await audioHandlerRef.current.startRecording(async (chunk) => {
await clientRef.current?.sendAudio(chunk);
});
setIsRecording(true);
} catch (error) {
console.error("Failed to start recording:", error);
}
} else if (audioHandlerRef.current) {
try {
audioHandlerRef.current.stopRecording();
if (!useVAD) {
const inputAudio = await clientRef.current?.commitAudio();
await handleInputAudio(inputAudio!);
await clientRef.current?.generateResponse();
}
setIsRecording(false);
} catch (error) {
console.error("Failed to stop recording:", error);
}
}
};
useEffect(() => {
// 防止重复初始化
if (initRef.current) return;
initRef.current = true;
const initAudioHandler = async () => {
const handler = new AudioHandler();
await handler.initialize();
audioHandlerRef.current = handler;
await handleConnect();
await toggleRecording();
};
initAudioHandler().catch((error) => {
setStatus(error);
console.error(error);
});
return () => {
if (isRecording) {
toggleRecording();
}
audioHandlerRef.current?.close().catch(console.error);
disconnect();
};
}, []);
useEffect(() => {
let animationFrameId: number;
if (isConnected && isRecording) {
const animationFrame = () => {
if (audioHandlerRef.current) {
const freqData = audioHandlerRef.current.getByteFrequencyData();
setFrequencies(freqData);
}
animationFrameId = requestAnimationFrame(animationFrame);
};
animationFrameId = requestAnimationFrame(animationFrame);
} else {
setFrequencies(undefined);
}
return () => {
if (animationFrameId) {
cancelAnimationFrame(animationFrameId);
}
};
}, [isConnected, isRecording]);
// update session params
useEffect(() => {
clientRef.current?.configure({ voice });
}, [voice]);
useEffect(() => {
clientRef.current?.configure({ temperature });
}, [temperature]);
const handleClose = async () => {
onClose?.();
if (isRecording) {
await toggleRecording();
}
disconnect().catch(console.error);
};
return (
<div className={styles["realtime-chat"]}>
<div
className={clsx(styles["circle-mic"], {
[styles["pulse"]]: isRecording,
})}
>
<VoicePrint frequencies={frequencies} isActive={isRecording} />
</div>
<div className={styles["bottom-icons"]}>
<div>
<IconButton
icon={isRecording ? <VoiceIcon /> : <VoiceOffIcon />}
onClick={toggleRecording}
disabled={!isConnected}
shadow
bordered
/>
</div>
<div className={styles["icon-center"]}>{status}</div>
<div>
<IconButton
icon={<PowerIcon />}
onClick={handleClose}
shadow
bordered
/>
</div>
</div>
</div>
);
}

View File

@@ -0,0 +1,173 @@
import { RealtimeConfig } from "@/app/store";
import Locale from "@/app/locales";
import { ListItem, Select, PasswordInput } from "@/app/components/ui-lib";
import { InputRange } from "@/app/components/input-range";
import { Voice } from "rt-client";
import { ServiceProvider } from "@/app/constant";
const providers = [ServiceProvider.OpenAI, ServiceProvider.Azure];
const models = ["gpt-4o-realtime-preview-2024-10-01"];
const voice = ["alloy", "shimmer", "echo"];
export function RealtimeConfigList(props: {
realtimeConfig: RealtimeConfig;
updateConfig: (updater: (config: RealtimeConfig) => void) => void;
}) {
const azureConfigComponent = props.realtimeConfig.provider ===
ServiceProvider.Azure && (
<>
<ListItem
title={Locale.Settings.Realtime.Azure.Endpoint.Title}
subTitle={Locale.Settings.Realtime.Azure.Endpoint.SubTitle}
>
<input
value={props.realtimeConfig?.azure?.endpoint}
type="text"
placeholder={Locale.Settings.Realtime.Azure.Endpoint.Title}
onChange={(e) => {
props.updateConfig(
(config) => (config.azure.endpoint = e.currentTarget.value),
);
}}
/>
</ListItem>
<ListItem
title={Locale.Settings.Realtime.Azure.Deployment.Title}
subTitle={Locale.Settings.Realtime.Azure.Deployment.SubTitle}
>
<input
value={props.realtimeConfig?.azure?.deployment}
type="text"
placeholder={Locale.Settings.Realtime.Azure.Deployment.Title}
onChange={(e) => {
props.updateConfig(
(config) => (config.azure.deployment = e.currentTarget.value),
);
}}
/>
</ListItem>
</>
);
return (
<>
<ListItem
title={Locale.Settings.Realtime.Enable.Title}
subTitle={Locale.Settings.Realtime.Enable.SubTitle}
>
<input
type="checkbox"
checked={props.realtimeConfig.enable}
onChange={(e) =>
props.updateConfig(
(config) => (config.enable = e.currentTarget.checked),
)
}
></input>
</ListItem>
{props.realtimeConfig.enable && (
<>
<ListItem
title={Locale.Settings.Realtime.Provider.Title}
subTitle={Locale.Settings.Realtime.Provider.SubTitle}
>
<Select
aria-label={Locale.Settings.Realtime.Provider.Title}
value={props.realtimeConfig.provider}
onChange={(e) => {
props.updateConfig(
(config) =>
(config.provider = e.target.value as ServiceProvider),
);
}}
>
{providers.map((v, i) => (
<option value={v} key={i}>
{v}
</option>
))}
</Select>
</ListItem>
<ListItem
title={Locale.Settings.Realtime.Model.Title}
subTitle={Locale.Settings.Realtime.Model.SubTitle}
>
<Select
aria-label={Locale.Settings.Realtime.Model.Title}
value={props.realtimeConfig.model}
onChange={(e) => {
props.updateConfig((config) => (config.model = e.target.value));
}}
>
{models.map((v, i) => (
<option value={v} key={i}>
{v}
</option>
))}
</Select>
</ListItem>
<ListItem
title={Locale.Settings.Realtime.ApiKey.Title}
subTitle={Locale.Settings.Realtime.ApiKey.SubTitle}
>
<PasswordInput
aria={Locale.Settings.ShowPassword}
aria-label={Locale.Settings.Realtime.ApiKey.Title}
value={props.realtimeConfig.apiKey}
type="text"
placeholder={Locale.Settings.Realtime.ApiKey.Placeholder}
onChange={(e) => {
props.updateConfig(
(config) => (config.apiKey = e.currentTarget.value),
);
}}
/>
</ListItem>
{azureConfigComponent}
<ListItem
title={Locale.Settings.TTS.Voice.Title}
subTitle={Locale.Settings.TTS.Voice.SubTitle}
>
<Select
value={props.realtimeConfig.voice}
onChange={(e) => {
props.updateConfig(
(config) => (config.voice = e.currentTarget.value as Voice),
);
}}
>
{voice.map((v, i) => (
<option value={v} key={i}>
{v}
</option>
))}
</Select>
</ListItem>
<ListItem
title={Locale.Settings.Realtime.Temperature.Title}
subTitle={Locale.Settings.Realtime.Temperature.SubTitle}
>
<InputRange
aria={Locale.Settings.Temperature.Title}
value={props.realtimeConfig?.temperature?.toFixed(1)}
min="0.6"
max="1"
step="0.1"
onChange={(e) => {
props.updateConfig(
(config) =>
(config.temperature = e.currentTarget.valueAsNumber),
);
}}
></InputRange>
</ListItem>
</>
)}
</>
);
}

View File

@@ -4,6 +4,7 @@ import { Select } from "@/app/components/ui-lib";
import { IconButton } from "@/app/components/button";
import Locale from "@/app/locales";
import { useSdStore } from "@/app/store/sd";
import clsx from "clsx";
export const params = [
{
@@ -136,7 +137,7 @@ export function ControlParamItem(props: {
className?: string;
}) {
return (
<div className={styles["ctrl-param-item"] + ` ${props.className || ""}`}>
<div className={clsx(styles["ctrl-param-item"], props.className)}>
<div className={styles["ctrl-param-item-header"]}>
<div className={styles["ctrl-param-item-title"]}>
<div>

View File

@@ -36,6 +36,7 @@ import { removeImage } from "@/app/utils/chat";
import { SideBar } from "./sd-sidebar";
import { WindowContent } from "@/app/components/home";
import { params } from "./sd-panel";
import clsx from "clsx";
function getSdTaskStatus(item: any) {
let s: string;
@@ -104,7 +105,7 @@ export function Sd() {
return (
<>
<SideBar className={isSd ? homeStyles["sidebar-show"] : ""} />
<SideBar className={clsx({ [homeStyles["sidebar-show"]]: isSd })} />
<WindowContent>
<div className={chatStyles.chat} key={"1"}>
<div className="window-header" data-tauri-drag-region>
@@ -121,7 +122,10 @@ export function Sd() {
</div>
)}
<div
className={`window-header-title ${chatStyles["chat-body-title"]}`}
className={clsx(
"window-header-title",
chatStyles["chat-body-title"],
)}
>
<div className={`window-header-main-title`}>Stability AI</div>
<div className="window-header-sub-title">

View File

@@ -72,6 +72,7 @@ import {
Stability,
Iflytek,
SAAS_CHAT_URL,
ChatGLM,
} from "../constant";
import { Prompt, SearchService, usePromptStore } from "../store/prompt";
import { ErrorBoundary } from "./error";
@@ -84,6 +85,7 @@ import { nanoid } from "nanoid";
import { useMaskStore } from "../store/mask";
import { ProviderType } from "../utils/cloud";
import { TTSConfigList } from "./tts-config";
import { RealtimeConfigList } from "./realtime-chat/realtime-config";
function EditPromptModal(props: { id: string; onClose: () => void }) {
const promptStore = usePromptStore();
@@ -1234,6 +1236,47 @@ export function Settings() {
</>
);
const chatglmConfigComponent = accessStore.provider ===
ServiceProvider.ChatGLM && (
<>
<ListItem
title={Locale.Settings.Access.ChatGLM.Endpoint.Title}
subTitle={
Locale.Settings.Access.ChatGLM.Endpoint.SubTitle +
ChatGLM.ExampleEndpoint
}
>
<input
aria-label={Locale.Settings.Access.ChatGLM.Endpoint.Title}
type="text"
value={accessStore.chatglmUrl}
placeholder={ChatGLM.ExampleEndpoint}
onChange={(e) =>
accessStore.update(
(access) => (access.chatglmUrl = e.currentTarget.value),
)
}
></input>
</ListItem>
<ListItem
title={Locale.Settings.Access.ChatGLM.ApiKey.Title}
subTitle={Locale.Settings.Access.ChatGLM.ApiKey.SubTitle}
>
<PasswordInput
aria-label={Locale.Settings.Access.ChatGLM.ApiKey.Title}
value={accessStore.chatglmApiKey}
type="text"
placeholder={Locale.Settings.Access.ChatGLM.ApiKey.Placeholder}
onChange={(e) => {
accessStore.update(
(access) => (access.chatglmApiKey = e.currentTarget.value),
);
}}
/>
</ListItem>
</>
);
const stabilityConfigComponent = accessStore.provider ===
ServiceProvider.Stability && (
<>
@@ -1693,6 +1736,7 @@ export function Settings() {
{stabilityConfigComponent}
{lflytekConfigComponent}
{XAIConfigComponent}
{chatglmConfigComponent}
</>
)}
</>
@@ -1756,7 +1800,18 @@ export function Settings() {
{shouldShowPromptModal && (
<UserPromptModal onClose={() => setShowPromptModal(false)} />
)}
<List>
<RealtimeConfigList
realtimeConfig={config.realtimeConfig}
updateConfig={(updater) => {
const realtimeConfig = { ...config.realtimeConfig };
updater(realtimeConfig);
config.update(
(config) => (config.realtimeConfig = realtimeConfig),
);
}}
/>
</List>
<List>
<TTSConfigList
ttsConfig={config.ttsConfig}

View File

@@ -30,6 +30,7 @@ import { Link, useNavigate } from "react-router-dom";
import { isIOS, useMobileScreen } from "../utils";
import dynamic from "next/dynamic";
import { showConfirm, Selector } from "./ui-lib";
import clsx from "clsx";
const ChatList = dynamic(async () => (await import("./chat-list")).ChatList, {
loading: () => null,
@@ -141,9 +142,9 @@ export function SideBarContainer(props: {
const { children, className, onDragStart, shouldNarrow } = props;
return (
<div
className={`${styles.sidebar} ${className} ${
shouldNarrow && styles["narrow-sidebar"]
}`}
className={clsx(styles.sidebar, className, {
[styles["narrow-sidebar"]]: shouldNarrow,
})}
style={{
// #3016 disable transition on ios mobile screen
transition: isMobileScreen && isIOSMobile ? "none" : undefined,
@@ -171,9 +172,9 @@ export function SideBarHeader(props: {
return (
<Fragment>
<div
className={`${styles["sidebar-header"]} ${
shouldNarrow ? styles["sidebar-header-narrow"] : ""
}`}
className={clsx(styles["sidebar-header"], {
[styles["sidebar-header-narrow"]]: shouldNarrow,
})}
data-tauri-drag-region
>
<div className={styles["sidebar-title-container"]}>
@@ -182,7 +183,7 @@ export function SideBarHeader(props: {
</div>
<div className={styles["sidebar-sub-title"]}>{subTitle}</div>
</div>
<div className={styles["sidebar-logo"] + " no-dark"}>{logo}</div>
<div className={clsx(styles["sidebar-logo"], "no-dark")}>{logo}</div>
</div>
{children}
</Fragment>
@@ -286,7 +287,7 @@ export function SideBar(props: { className?: string }) {
<SideBarTail
primaryAction={
<>
<div className={styles["sidebar-action"] + " " + styles.mobile}>
<div className={clsx(styles["sidebar-action"], styles.mobile)}>
<IconButton
icon={<DeleteIcon />}
onClick={async () => {

View File

@@ -23,6 +23,7 @@ import React, {
useRef,
} from "react";
import { IconButton } from "./button";
import clsx from "clsx";
export function Popover(props: {
children: JSX.Element;
@@ -45,7 +46,7 @@ export function Popover(props: {
export function Card(props: { children: JSX.Element[]; className?: string }) {
return (
<div className={styles.card + " " + props.className}>{props.children}</div>
<div className={clsx(styles.card, props.className)}>{props.children}</div>
);
}
@@ -60,11 +61,13 @@ export function ListItem(props: {
}) {
return (
<div
className={
styles["list-item"] +
` ${props.vertical ? styles["vertical"] : ""} ` +
` ${props.className || ""}`
}
className={clsx(
styles["list-item"],
{
[styles["vertical"]]: props.vertical,
},
props.className,
)}
onClick={props.onClick}
>
<div className={styles["list-header"]}>
@@ -135,9 +138,9 @@ export function Modal(props: ModalProps) {
return (
<div
className={
styles["modal-container"] + ` ${isMax && styles["modal-container-max"]}`
}
className={clsx(styles["modal-container"], {
[styles["modal-container-max"]]: isMax,
})}
>
<div className={styles["modal-header"]}>
<div className={styles["modal-title"]}>{props.title}</div>
@@ -260,7 +263,7 @@ export function Input(props: InputProps) {
return (
<textarea
{...props}
className={`${styles["input"]} ${props.className}`}
className={clsx(styles["input"], props.className)}
></textarea>
);
}
@@ -301,9 +304,13 @@ export function Select(
const { className, children, align, ...otherProps } = props;
return (
<div
className={`${styles["select-with-icon"]} ${
align === "left" ? styles["left-align-option"] : ""
} ${className}`}
className={clsx(
styles["select-with-icon"],
{
[styles["left-align-option"]]: align === "left",
},
className,
)}
>
<select className={styles["select-with-icon-select"]} {...otherProps}>
{children}
@@ -509,9 +516,9 @@ export function Selector<T>(props: {
const selected = selectedValues.includes(item.value);
return (
<ListItem
className={`${styles["selector-item"]} ${
item.disable && styles["selector-item-disabled"]
}`}
className={clsx(styles["selector-item"], {
[styles["selector-item-disabled"]]: item.disable,
})}
key={i}
title={item.title}
subTitle={item.subTitle}

View File

@@ -0,0 +1 @@
export * from "./voice-print";

View File

@@ -0,0 +1,11 @@
.voice-print {
width: 100%;
height: 60px;
margin: 20px 0;
canvas {
width: 100%;
height: 100%;
filter: brightness(1.2); // 增加整体亮度
}
}

View File

@@ -0,0 +1,180 @@
import { useEffect, useRef, useCallback } from "react";
import styles from "./voice-print.module.scss";
interface VoicePrintProps {
frequencies?: Uint8Array;
isActive?: boolean;
}
export function VoicePrint({ frequencies, isActive }: VoicePrintProps) {
// Canvas引用用于获取绘图上下文
const canvasRef = useRef<HTMLCanvasElement>(null);
// 存储历史频率数据,用于平滑处理
const historyRef = useRef<number[][]>([]);
// 控制保留的历史数据帧数,影响平滑度
const historyLengthRef = useRef(10);
// 存储动画帧ID用于清理
const animationFrameRef = useRef<number>();
/**
* 更新频率历史数据
* 使用FIFO队列维护固定长度的历史记录
*/
const updateHistory = useCallback((freqArray: number[]) => {
historyRef.current.push(freqArray);
if (historyRef.current.length > historyLengthRef.current) {
historyRef.current.shift();
}
}, []);
useEffect(() => {
const canvas = canvasRef.current;
if (!canvas) return;
const ctx = canvas.getContext("2d");
if (!ctx) return;
/**
* 处理高DPI屏幕显示
* 根据设备像素比例调整canvas实际渲染分辨率
*/
const dpr = window.devicePixelRatio || 1;
canvas.width = canvas.offsetWidth * dpr;
canvas.height = canvas.offsetHeight * dpr;
ctx.scale(dpr, dpr);
/**
* 主要绘制函数
* 使用requestAnimationFrame实现平滑动画
* 包含以下步骤:
* 1. 清空画布
* 2. 更新历史数据
* 3. 计算波形点
* 4. 绘制上下对称的声纹
*/
const draw = () => {
// 清空画布
ctx.clearRect(0, 0, canvas.width, canvas.height);
if (!frequencies || !isActive) {
historyRef.current = [];
return;
}
const freqArray = Array.from(frequencies);
updateHistory(freqArray);
// 绘制声纹
const points: [number, number][] = [];
const centerY = canvas.height / 2;
const width = canvas.width;
const sliceWidth = width / (frequencies.length - 1);
// 绘制主波形
ctx.beginPath();
ctx.moveTo(0, centerY);
/**
* 声纹绘制算法:
* 1. 使用历史数据平均值实现平滑过渡
* 2. 通过正弦函数添加自然波动
* 3. 使用贝塞尔曲线连接点,使曲线更平滑
* 4. 绘制对称部分形成完整声纹
*/
for (let i = 0; i < frequencies.length; i++) {
const x = i * sliceWidth;
let avgFrequency = frequencies[i];
/**
* 波形平滑处理:
* 1. 收集历史数据中对应位置的频率值
* 2. 计算当前值与历史值的加权平均
* 3. 根据平均值计算实际显示高度
*/
if (historyRef.current.length > 0) {
const historicalValues = historyRef.current.map((h) => h[i] || 0);
avgFrequency =
(avgFrequency + historicalValues.reduce((a, b) => a + b, 0)) /
(historyRef.current.length + 1);
}
/**
* 波形变换:
* 1. 归一化频率值到0-1范围
* 2. 添加时间相关的正弦变换
* 3. 使用贝塞尔曲线平滑连接点
*/
const normalized = avgFrequency / 255.0;
const height = normalized * (canvas.height / 2);
const y = centerY + height * Math.sin(i * 0.2 + Date.now() * 0.002);
points.push([x, y]);
if (i === 0) {
ctx.moveTo(x, y);
} else {
// 使用贝塞尔曲线使波形更平滑
const prevPoint = points[i - 1];
const midX = (prevPoint[0] + x) / 2;
ctx.quadraticCurveTo(
prevPoint[0],
prevPoint[1],
midX,
(prevPoint[1] + y) / 2,
);
}
}
// 绘制对称的下半部分
for (let i = points.length - 1; i >= 0; i--) {
const [x, y] = points[i];
const symmetricY = centerY - (y - centerY);
if (i === points.length - 1) {
ctx.lineTo(x, symmetricY);
} else {
const nextPoint = points[i + 1];
const midX = (nextPoint[0] + x) / 2;
ctx.quadraticCurveTo(
nextPoint[0],
centerY - (nextPoint[1] - centerY),
midX,
centerY - ((nextPoint[1] + y) / 2 - centerY),
);
}
}
ctx.closePath();
/**
* 渐变效果:
* 从左到右应用三色渐变,带透明度
* 使用蓝色系配色提升视觉效果
*/
const gradient = ctx.createLinearGradient(0, 0, canvas.width, 0);
gradient.addColorStop(0, "rgba(100, 180, 255, 0.95)");
gradient.addColorStop(0.5, "rgba(140, 200, 255, 0.9)");
gradient.addColorStop(1, "rgba(180, 220, 255, 0.95)");
ctx.fillStyle = gradient;
ctx.fill();
animationFrameRef.current = requestAnimationFrame(draw);
};
// 启动动画循环
draw();
// 清理函数:在组件卸载时取消动画
return () => {
if (animationFrameRef.current) {
cancelAnimationFrame(animationFrameRef.current);
}
};
}, [frequencies, isActive, updateHistory]);
return (
<div className={styles["voice-print"]}>
<canvas ref={canvasRef} />
</div>
);
}

View File

@@ -75,6 +75,10 @@ declare global {
XAI_URL?: string;
XAI_API_KEY?: string;
// chatglm only
CHATGLM_URL?: string;
CHATGLM_API_KEY?: string;
// custom template for preprocessing user input
DEFAULT_INPUT_TEMPLATE?: string;
}
@@ -151,6 +155,7 @@ export const getServerSideConfig = () => {
const isMoonshot = !!process.env.MOONSHOT_API_KEY;
const isIflytek = !!process.env.IFLYTEK_API_KEY;
const isXAI = !!process.env.XAI_API_KEY;
const isChatGLM = !!process.env.CHATGLM_API_KEY;
// const apiKeyEnvVar = process.env.OPENAI_API_KEY ?? "";
// const apiKeys = apiKeyEnvVar.split(",").map((v) => v.trim());
// const randomIndex = Math.floor(Math.random() * apiKeys.length);
@@ -217,6 +222,10 @@ export const getServerSideConfig = () => {
xaiUrl: process.env.XAI_URL,
xaiApiKey: getApiKey(process.env.XAI_API_KEY),
isChatGLM,
chatglmUrl: process.env.CHATGLM_URL,
chatglmApiKey: getApiKey(process.env.CHATGLM_API_KEY),
cloudflareAccountId: process.env.CLOUDFLARE_ACCOUNT_ID,
cloudflareKVNamespaceId: process.env.CLOUDFLARE_KV_NAMESPACE_ID,
cloudflareKVApiKey: getApiKey(process.env.CLOUDFLARE_KV_API_KEY),

View File

@@ -30,6 +30,8 @@ export const IFLYTEK_BASE_URL = "https://spark-api-open.xf-yun.com";
export const XAI_BASE_URL = "https://api.x.ai";
export const CHATGLM_BASE_URL = "https://open.bigmodel.cn";
export const CACHE_URL_PREFIX = "/api/cache";
export const UPLOAD_URL = `${CACHE_URL_PREFIX}/upload`;
@@ -62,6 +64,7 @@ export enum ApiPath {
Stability = "/api/stability",
Artifacts = "/api/artifacts",
XAI = "/api/xai",
ChatGLM = "/api/chatglm",
}
export enum SlotID {
@@ -115,6 +118,7 @@ export enum ServiceProvider {
Stability = "Stability",
Iflytek = "Iflytek",
XAI = "XAI",
ChatGLM = "ChatGLM",
}
// Google API safety settings, see https://ai.google.dev/gemini-api/docs/safety-settings
@@ -138,6 +142,7 @@ export enum ModelProvider {
Moonshot = "Moonshot",
Iflytek = "Iflytek",
XAI = "XAI",
ChatGLM = "ChatGLM",
}
export const Stability = {
@@ -225,6 +230,11 @@ export const XAI = {
ChatPath: "v1/chat/completions",
};
export const ChatGLM = {
ExampleEndpoint: CHATGLM_BASE_URL,
ChatPath: "api/paas/v4/chat/completions",
};
export const DEFAULT_INPUT_TEMPLATE = `{{input}}`; // input / time / model / lang
// export const DEFAULT_SYSTEM_TEMPLATE = `
// You are ChatGPT, a large language model trained by {{ServiceProvider}}.
@@ -317,8 +327,13 @@ const anthropicModels = [
"claude-2.1",
"claude-3-sonnet-20240229",
"claude-3-opus-20240229",
"claude-3-opus-latest",
"claude-3-haiku-20240307",
"claude-3-5-haiku-20241022",
"claude-3-5-haiku-latest",
"claude-3-5-sonnet-20240620",
"claude-3-5-sonnet-20241022",
"claude-3-5-sonnet-latest",
];
const baiduModels = [
@@ -376,6 +391,17 @@ const iflytekModels = [
const xAIModes = ["grok-beta"];
const chatglmModels = [
"glm-4-plus",
"glm-4-0520",
"glm-4",
"glm-4-air",
"glm-4-airx",
"glm-4-long",
"glm-4-flashx",
"glm-4-flash",
];
let seq = 1000; // 内置的模型序号生成器从1000开始
export const DEFAULT_MODELS = [
...openaiModels.map((name) => ({
@@ -499,6 +525,17 @@ export const DEFAULT_MODELS = [
sorted: 11,
},
})),
...chatglmModels.map((name) => ({
name,
available: true,
sorted: seq++,
provider: {
id: "chatglm",
providerName: "ChatGLM",
providerType: "chatglm",
sorted: 12,
},
})),
] as const;
export const CHAT_PAGE_SIZE = 15;

11
app/icons/headphone.svg Normal file
View File

@@ -0,0 +1,11 @@
<?xml version="1.0" encoding="UTF-8"?>
<svg width="16" height="16" viewBox="0 0 48 48" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M4 28C4 26.8954 4.89543 26 6 26H10V38H6C4.89543 38 4 37.1046 4 36V28Z" fill="none" />
<path d="M38 26H42C43.1046 26 44 26.8954 44 28V36C44 37.1046 43.1046 38 42 38H38V26Z"
fill="none" />
<path
d="M10 36V24C10 16.268 16.268 10 24 10C31.732 10 38 16.268 38 24V36M10 26H6C4.89543 26 4 26.8954 4 28V36C4 37.1046 4.89543 38 6 38H10V26ZM38 26H42C43.1046 26 44 26.8954 44 28V36C44 37.1046 43.1046 38 42 38H38V26Z"
stroke="#333" stroke-width="4" stroke-linecap="round" stroke-linejoin="round" />
<path d="M16 32H20L22 26L26 38L28 32H32" stroke="#333" stroke-width="4" stroke-linecap="round"
stroke-linejoin="round" />
</svg>

After

Width:  |  Height:  |  Size: 808 B

7
app/icons/power.svg Normal file
View File

@@ -0,0 +1,7 @@
<?xml version="1.0" encoding="UTF-8"?>
<svg width="24" height="24" viewBox="0 0 48 48" fill="none" xmlns="http://www.w3.org/2000/svg">
<path
d="M14.5 8C13.8406 8.37652 13.2062 8.79103 12.6 9.24051C11.5625 10.0097 10.6074 10.8814 9.75 11.8402C6.79377 15.1463 5 19.4891 5 24.2455C5 34.6033 13.5066 43 24 43C34.4934 43 43 34.6033 43 24.2455C43 19.4891 41.2062 15.1463 38.25 11.8402C37.3926 10.8814 36.4375 10.0097 35.4 9.24051C34.7938 8.79103 34.1594 8.37652 33.5 8"
stroke="#333" stroke-width="4" stroke-linecap="round" stroke-linejoin="round" />
<path d="M24 4V24" stroke="#333" stroke-width="4" stroke-linecap="round" stroke-linejoin="round" />
</svg>

After

Width:  |  Height:  |  Size: 675 B

13
app/icons/voice-off.svg Normal file
View File

@@ -0,0 +1,13 @@
<?xml version="1.0" encoding="UTF-8"?>
<svg width="24" height="24" viewBox="0 0 48 48" fill="none" xmlns="http://www.w3.org/2000/svg">
<path
d="M31 24V11C31 7.13401 27.866 4 24 4C20.134 4 17 7.13401 17 11V24C17 27.866 20.134 31 24 31C27.866 31 31 27.866 31 24Z"
stroke="#d0021b" stroke-width="4" stroke-linejoin="round" />
<path
d="M9 23C9 31.2843 15.7157 38 24 38C25.7532 38 27.4361 37.6992 29 37.1465M39 23C39 25.1333 38.5547 27.1626 37.7519 29"
stroke="#d0021b" stroke-width="4" stroke-linecap="round" stroke-linejoin="round" />
<path d="M24 38V44" stroke="#d0021b" stroke-width="4" stroke-linecap="round"
stroke-linejoin="round" />
<path d="M42 42L6 6" stroke="#d0021b" stroke-width="4" stroke-linecap="round"
stroke-linejoin="round" />
</svg>

After

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9
app/icons/voice.svg Normal file
View File

@@ -0,0 +1,9 @@
<?xml version="1.0" encoding="UTF-8"?>
<svg width="24" height="24" viewBox="0 0 48 48" fill="none" xmlns="http://www.w3.org/2000/svg">
<rect x="17" y="4" width="14" height="27" rx="7" fill="none" stroke="#333" stroke-width="4"
stroke-linejoin="round" />
<path d="M9 23C9 31.2843 15.7157 38 24 38C32.2843 38 39 31.2843 39 23" stroke="#333"
stroke-width="4" stroke-linecap="round" stroke-linejoin="round" />
<path d="M24 38V44" stroke="#333" stroke-width="4" stroke-linecap="round"
stroke-linejoin="round" />
</svg>

After

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200
app/lib/audio.ts Normal file
View File

@@ -0,0 +1,200 @@
export class AudioHandler {
private context: AudioContext;
private mergeNode: ChannelMergerNode;
private analyserData: Uint8Array;
public analyser: AnalyserNode;
private workletNode: AudioWorkletNode | null = null;
private stream: MediaStream | null = null;
private source: MediaStreamAudioSourceNode | null = null;
private recordBuffer: Int16Array[] = [];
private readonly sampleRate = 24000;
private nextPlayTime: number = 0;
private isPlaying: boolean = false;
private playbackQueue: AudioBufferSourceNode[] = [];
private playBuffer: Int16Array[] = [];
constructor() {
this.context = new AudioContext({ sampleRate: this.sampleRate });
// using ChannelMergerNode to get merged audio data, and then get analyser data.
this.mergeNode = new ChannelMergerNode(this.context, { numberOfInputs: 2 });
this.analyser = new AnalyserNode(this.context, { fftSize: 256 });
this.analyserData = new Uint8Array(this.analyser.frequencyBinCount);
this.mergeNode.connect(this.analyser);
}
getByteFrequencyData() {
this.analyser.getByteFrequencyData(this.analyserData);
return this.analyserData;
}
async initialize() {
await this.context.audioWorklet.addModule("/audio-processor.js");
}
async startRecording(onChunk: (chunk: Uint8Array) => void) {
try {
if (!this.workletNode) {
await this.initialize();
}
this.stream = await navigator.mediaDevices.getUserMedia({
audio: {
channelCount: 1,
sampleRate: this.sampleRate,
echoCancellation: true,
noiseSuppression: true,
},
});
await this.context.resume();
this.source = this.context.createMediaStreamSource(this.stream);
this.workletNode = new AudioWorkletNode(
this.context,
"audio-recorder-processor",
);
this.workletNode.port.onmessage = (event) => {
if (event.data.eventType === "audio") {
const float32Data = event.data.audioData;
const int16Data = new Int16Array(float32Data.length);
for (let i = 0; i < float32Data.length; i++) {
const s = Math.max(-1, Math.min(1, float32Data[i]));
int16Data[i] = s < 0 ? s * 0x8000 : s * 0x7fff;
}
const uint8Data = new Uint8Array(int16Data.buffer);
onChunk(uint8Data);
// save recordBuffer
// @ts-ignore
this.recordBuffer.push.apply(this.recordBuffer, int16Data);
}
};
this.source.connect(this.workletNode);
this.source.connect(this.mergeNode, 0, 0);
this.workletNode.connect(this.context.destination);
this.workletNode.port.postMessage({ command: "START_RECORDING" });
} catch (error) {
console.error("Error starting recording:", error);
throw error;
}
}
stopRecording() {
if (!this.workletNode || !this.source || !this.stream) {
throw new Error("Recording not started");
}
this.workletNode.port.postMessage({ command: "STOP_RECORDING" });
this.workletNode.disconnect();
this.source.disconnect();
this.stream.getTracks().forEach((track) => track.stop());
}
startStreamingPlayback() {
this.isPlaying = true;
this.nextPlayTime = this.context.currentTime;
}
stopStreamingPlayback() {
this.isPlaying = false;
this.playbackQueue.forEach((source) => source.stop());
this.playbackQueue = [];
this.playBuffer = [];
}
playChunk(chunk: Uint8Array) {
if (!this.isPlaying) return;
const int16Data = new Int16Array(chunk.buffer);
// @ts-ignore
this.playBuffer.push.apply(this.playBuffer, int16Data); // save playBuffer
const float32Data = new Float32Array(int16Data.length);
for (let i = 0; i < int16Data.length; i++) {
float32Data[i] = int16Data[i] / (int16Data[i] < 0 ? 0x8000 : 0x7fff);
}
const audioBuffer = this.context.createBuffer(
1,
float32Data.length,
this.sampleRate,
);
audioBuffer.getChannelData(0).set(float32Data);
const source = this.context.createBufferSource();
source.buffer = audioBuffer;
source.connect(this.context.destination);
source.connect(this.mergeNode, 0, 1);
const chunkDuration = audioBuffer.length / this.sampleRate;
source.start(this.nextPlayTime);
this.playbackQueue.push(source);
source.onended = () => {
const index = this.playbackQueue.indexOf(source);
if (index > -1) {
this.playbackQueue.splice(index, 1);
}
};
this.nextPlayTime += chunkDuration;
if (this.nextPlayTime < this.context.currentTime) {
this.nextPlayTime = this.context.currentTime;
}
}
_saveData(data: Int16Array, bytesPerSample = 16): Blob {
const headerLength = 44;
const numberOfChannels = 1;
const byteLength = data.buffer.byteLength;
const header = new Uint8Array(headerLength);
const view = new DataView(header.buffer);
view.setUint32(0, 1380533830, false); // RIFF identifier 'RIFF'
view.setUint32(4, 36 + byteLength, true); // file length minus RIFF identifier length and file description length
view.setUint32(8, 1463899717, false); // RIFF type 'WAVE'
view.setUint32(12, 1718449184, false); // format chunk identifier 'fmt '
view.setUint32(16, 16, true); // format chunk length
view.setUint16(20, 1, true); // sample format (raw)
view.setUint16(22, numberOfChannels, true); // channel count
view.setUint32(24, this.sampleRate, true); // sample rate
view.setUint32(28, this.sampleRate * 4, true); // byte rate (sample rate * block align)
view.setUint16(32, numberOfChannels * 2, true); // block align (channel count * bytes per sample)
view.setUint16(34, bytesPerSample, true); // bits per sample
view.setUint32(36, 1684108385, false); // data chunk identifier 'data'
view.setUint32(40, byteLength, true); // data chunk length
// using data.buffer, so no need to setUint16 to view.
return new Blob([view, data.buffer], { type: "audio/mpeg" });
}
savePlayFile() {
// @ts-ignore
return this._saveData(new Int16Array(this.playBuffer));
}
saveRecordFile(
audioStartMillis: number | undefined,
audioEndMillis: number | undefined,
) {
const startIndex = audioStartMillis
? Math.floor((audioStartMillis * this.sampleRate) / 1000)
: 0;
const endIndex = audioEndMillis
? Math.floor((audioEndMillis * this.sampleRate) / 1000)
: this.recordBuffer.length;
return this._saveData(
// @ts-ignore
new Int16Array(this.recordBuffer.slice(startIndex, endIndex)),
);
}
async close() {
this.recordBuffer = [];
this.workletNode?.disconnect();
this.source?.disconnect();
this.stream?.getTracks().forEach((track) => track.stop());
await this.context.close();
}
}

View File

@@ -473,6 +473,17 @@ const cn = {
SubTitle: "样例:",
},
},
ChatGLM: {
ApiKey: {
Title: "接口密钥",
SubTitle: "使用自定义 ChatGLM API Key",
Placeholder: "ChatGLM API Key",
},
Endpoint: {
Title: "接口地址",
SubTitle: "样例:",
},
},
Stability: {
ApiKey: {
Title: "接口密钥",
@@ -551,6 +562,39 @@ const cn = {
SubTitle: "生成语音的速度",
},
},
Realtime: {
Enable: {
Title: "实时聊天",
SubTitle: "开启实时聊天功能",
},
Provider: {
Title: "模型服务商",
SubTitle: "切换不同的服务商",
},
Model: {
Title: "模型",
SubTitle: "选择一个模型",
},
ApiKey: {
Title: "API Key",
SubTitle: "API Key",
Placeholder: "API Key",
},
Azure: {
Endpoint: {
Title: "接口地址",
SubTitle: "接口地址",
},
Deployment: {
Title: "部署名称",
SubTitle: "部署名称",
},
},
Temperature: {
Title: "随机性 (temperature)",
SubTitle: "值越大,回复越随机",
},
},
},
Store: {
DefaultTopic: "新的聊天",

View File

@@ -457,6 +457,17 @@ const en: LocaleType = {
SubTitle: "Example: ",
},
},
ChatGLM: {
ApiKey: {
Title: "ChatGLM API Key",
SubTitle: "Use a custom ChatGLM API Key",
Placeholder: "ChatGLM API Key",
},
Endpoint: {
Title: "Endpoint Address",
SubTitle: "Example: ",
},
},
Stability: {
ApiKey: {
Title: "Stability API Key",
@@ -559,6 +570,39 @@ const en: LocaleType = {
},
Engine: "TTS Engine",
},
Realtime: {
Enable: {
Title: "Realtime Chat",
SubTitle: "Enable realtime chat feature",
},
Provider: {
Title: "Model Provider",
SubTitle: "Switch between different providers",
},
Model: {
Title: "Model",
SubTitle: "Select a model",
},
ApiKey: {
Title: "API Key",
SubTitle: "API Key",
Placeholder: "API Key",
},
Azure: {
Endpoint: {
Title: "Endpoint",
SubTitle: "Endpoint",
},
Deployment: {
Title: "Deployment Name",
SubTitle: "Deployment Name",
},
},
Temperature: {
Title: "Randomness (temperature)",
SubTitle: "Higher values result in more random responses",
},
},
},
Store: {
DefaultTopic: "New Conversation",

View File

@@ -14,12 +14,14 @@ import {
STABILITY_BASE_URL,
IFLYTEK_BASE_URL,
XAI_BASE_URL,
CHATGLM_BASE_URL,
} from "../constant";
import { getHeaders } from "../client/api";
import { getClientConfig } from "../config/client";
import { createPersistStore } from "../utils/store";
import { ensure } from "../utils/clone";
import { DEFAULT_CONFIG } from "./config";
import { getModelProvider } from "../utils/model";
let fetchState = 0; // 0 not fetch, 1 fetching, 2 done
@@ -47,6 +49,8 @@ const DEFAULT_IFLYTEK_URL = isApp ? IFLYTEK_BASE_URL : ApiPath.Iflytek;
const DEFAULT_XAI_URL = isApp ? XAI_BASE_URL : ApiPath.XAI;
const DEFAULT_CHATGLM_URL = isApp ? CHATGLM_BASE_URL : ApiPath.ChatGLM;
const DEFAULT_ACCESS_STATE = {
accessCode: "",
useCustomConfig: false,
@@ -108,6 +112,10 @@ const DEFAULT_ACCESS_STATE = {
xaiUrl: DEFAULT_XAI_URL,
xaiApiKey: "",
// chatglm
chatglmUrl: DEFAULT_CHATGLM_URL,
chatglmApiKey: "",
// server config
needCode: true,
hideUserApiKey: false,
@@ -180,6 +188,10 @@ export const useAccessStore = createPersistStore(
return ensure(get(), ["xaiApiKey"]);
},
isValidChatGLM() {
return ensure(get(), ["chatglmApiKey"]);
},
isAuthorized() {
this.fetch();
@@ -196,6 +208,7 @@ export const useAccessStore = createPersistStore(
this.isValidMoonshot() ||
this.isValidIflytek() ||
this.isValidXAI() ||
this.isValidChatGLM() ||
!this.enabledAccessControl() ||
(this.enabledAccessControl() && ensure(get(), ["accessCode"]))
);
@@ -214,9 +227,9 @@ export const useAccessStore = createPersistStore(
.then((res) => {
const defaultModel = res.defaultModel ?? "";
if (defaultModel !== "") {
const [model, providerName] = defaultModel.split("@");
const [model, providerName] = getModelProvider(defaultModel);
DEFAULT_CONFIG.modelConfig.model = model;
DEFAULT_CONFIG.modelConfig.providerName = providerName;
DEFAULT_CONFIG.modelConfig.providerName = providerName as any;
}
return res;

View File

@@ -52,6 +52,7 @@ export type ChatMessage = RequestMessage & {
id: string;
model?: ModelType;
tools?: ChatMessageTool[];
audio_url?: string;
};
export function createMessage(override: Partial<ChatMessage>): ChatMessage {
@@ -352,13 +353,13 @@ export const useChatStore = createPersistStore(
return session;
},
onNewMessage(message: ChatMessage) {
get().updateCurrentSession((session) => {
onNewMessage(message: ChatMessage, targetSession: ChatSession) {
get().updateTargetSession(targetSession, (session) => {
session.messages = session.messages.concat();
session.lastUpdate = Date.now();
});
get().updateStat(message);
get().summarizeSession();
get().updateStat(message, targetSession);
get().summarizeSession(false, targetSession);
},
async onUserInput(content: string, attachImages?: string[]) {
@@ -396,10 +397,10 @@ export const useChatStore = createPersistStore(
// get recent messages
const recentMessages = get().getMessagesWithMemory();
const sendMessages = recentMessages.concat(userMessage);
const messageIndex = get().currentSession().messages.length + 1;
const messageIndex = session.messages.length + 1;
// save user's and bot's message
get().updateCurrentSession((session) => {
get().updateTargetSession(session, (session) => {
const savedUserMessage = {
...userMessage,
content: mContent,
@@ -420,7 +421,7 @@ export const useChatStore = createPersistStore(
if (message) {
botMessage.content = message;
}
get().updateCurrentSession((session) => {
get().updateTargetSession(session, (session) => {
session.messages = session.messages.concat();
});
},
@@ -428,13 +429,14 @@ export const useChatStore = createPersistStore(
botMessage.streaming = false;
if (message) {
botMessage.content = message;
get().onNewMessage(botMessage);
botMessage.date = new Date().toLocaleString();
get().onNewMessage(botMessage, session);
}
ChatControllerPool.remove(session.id, botMessage.id);
},
onBeforeTool(tool: ChatMessageTool) {
(botMessage.tools = botMessage?.tools || []).push(tool);
get().updateCurrentSession((session) => {
get().updateTargetSession(session, (session) => {
session.messages = session.messages.concat();
});
},
@@ -444,7 +446,7 @@ export const useChatStore = createPersistStore(
tools[i] = { ...tool };
}
});
get().updateCurrentSession((session) => {
get().updateTargetSession(session, (session) => {
session.messages = session.messages.concat();
});
},
@@ -459,7 +461,7 @@ export const useChatStore = createPersistStore(
botMessage.streaming = false;
userMessage.isError = !isAborted;
botMessage.isError = !isAborted;
get().updateCurrentSession((session) => {
get().updateTargetSession(session, (session) => {
session.messages = session.messages.concat();
});
ChatControllerPool.remove(
@@ -591,16 +593,19 @@ export const useChatStore = createPersistStore(
set(() => ({ sessions }));
},
resetSession() {
get().updateCurrentSession((session) => {
resetSession(session: ChatSession) {
get().updateTargetSession(session, (session) => {
session.messages = [];
session.memoryPrompt = "";
});
},
summarizeSession(refreshTitle: boolean = false) {
summarizeSession(
refreshTitle: boolean = false,
targetSession: ChatSession,
) {
const config = useAppConfig.getState();
const session = get().currentSession();
const session = targetSession;
const modelConfig = session.mask.modelConfig;
// skip summarize when using dalle3?
if (isDalle3(modelConfig.model)) {
@@ -649,13 +654,15 @@ export const useChatStore = createPersistStore(
stream: false,
providerName,
},
onFinish(message) {
if (!isValidMessage(message)) return;
get().updateCurrentSession(
(session) =>
(session.topic =
message.length > 0 ? trimTopic(message) : DEFAULT_TOPIC),
);
onFinish(message, responseRes) {
if (responseRes?.status === 200) {
get().updateTargetSession(
session,
(session) =>
(session.topic =
message.length > 0 ? trimTopic(message) : DEFAULT_TOPIC),
);
}
},
});
}
@@ -669,7 +676,7 @@ export const useChatStore = createPersistStore(
const historyMsgLength = countMessages(toBeSummarizedMsgs);
if (historyMsgLength > modelConfig?.max_tokens ?? 4000) {
if (historyMsgLength > (modelConfig?.max_tokens || 4000)) {
const n = toBeSummarizedMsgs.length;
toBeSummarizedMsgs = toBeSummarizedMsgs.slice(
Math.max(0, n - modelConfig.historyMessageCount),
@@ -715,38 +722,38 @@ export const useChatStore = createPersistStore(
onUpdate(message) {
session.memoryPrompt = message;
},
onFinish(message) {
console.log("[Memory] ", message);
get().updateCurrentSession((session) => {
session.lastSummarizeIndex = lastSummarizeIndex;
session.memoryPrompt = message; // Update the memory prompt for stored it in local storage
});
onFinish(message, responseRes) {
if (responseRes?.status === 200) {
console.log("[Memory] ", message);
get().updateTargetSession(session, (session) => {
session.lastSummarizeIndex = lastSummarizeIndex;
session.memoryPrompt = message; // Update the memory prompt for stored it in local storage
});
}
},
onError(err) {
console.error("[Summarize] ", err);
},
});
}
function isValidMessage(message: any): boolean {
return typeof message === "string" && !message.startsWith("```json");
}
},
updateStat(message: ChatMessage) {
get().updateCurrentSession((session) => {
updateStat(message: ChatMessage, session: ChatSession) {
get().updateTargetSession(session, (session) => {
session.stat.charCount += message.content.length;
// TODO: should update chat count and word count
});
},
updateCurrentSession(updater: (session: ChatSession) => void) {
updateTargetSession(
targetSession: ChatSession,
updater: (session: ChatSession) => void,
) {
const sessions = get().sessions;
const index = get().currentSessionIndex;
const index = sessions.findIndex((s) => s.id === targetSession.id);
if (index < 0) return;
updater(sessions[index]);
set(() => ({ sessions }));
},
async clearAllData() {
await indexedDBStorage.clear();
localStorage.clear();

View File

@@ -15,6 +15,7 @@ import {
ServiceProvider,
} from "../constant";
import { createPersistStore } from "../utils/store";
import type { Voice } from "rt-client";
export type ModelType = (typeof DEFAULT_MODELS)[number]["name"];
export type TTSModelType = (typeof DEFAULT_TTS_MODELS)[number];
@@ -90,12 +91,26 @@ export const DEFAULT_CONFIG = {
voice: DEFAULT_TTS_VOICE,
speed: 1.0,
},
realtimeConfig: {
enable: false,
provider: "OpenAI" as ServiceProvider,
model: "gpt-4o-realtime-preview-2024-10-01",
apiKey: "",
azure: {
endpoint: "",
deployment: "",
},
temperature: 0.9,
voice: "alloy" as Voice,
},
};
export type ChatConfig = typeof DEFAULT_CONFIG;
export type ModelConfig = ChatConfig["modelConfig"];
export type TTSConfig = ChatConfig["ttsConfig"];
export type RealtimeConfig = ChatConfig["realtimeConfig"];
export function limitNumber(
x: number,

View File

@@ -254,6 +254,7 @@ export function getMessageImages(message: RequestMessage): string[] {
export function isVisionModel(model: string) {
// Note: This is a better way using the TypeScript feature instead of `&&` or `||` (ts v5.5.0-dev.20240314 I've been using)
const excludeKeywords = ["claude-3-5-haiku-20241022"];
const visionKeywords = [
"vision",
"claude-3",
@@ -266,7 +267,10 @@ export function isVisionModel(model: string) {
model.includes("gpt-4-turbo") && !model.includes("preview");
return (
visionKeywords.some((keyword) => model.includes(keyword)) || isGpt4Turbo
!excludeKeywords.some((keyword) => model.includes(keyword)) &&
(visionKeywords.some((keyword) => model.includes(keyword)) ||
isGpt4Turbo ||
isDalle3(model))
);
}
@@ -278,7 +282,8 @@ export function showPlugins(provider: ServiceProvider, model: string) {
if (
provider == ServiceProvider.OpenAI ||
provider == ServiceProvider.Azure ||
provider == ServiceProvider.Moonshot
provider == ServiceProvider.Moonshot ||
provider == ServiceProvider.ChatGLM
) {
return true;
}

View File

@@ -138,7 +138,7 @@ export function uploadImage(file: Blob): Promise<string> {
})
.then((res) => res.json())
.then((res) => {
console.log("res", res);
// console.log("res", res);
if (res?.code == 0 && res?.data) {
return res?.data;
}
@@ -174,6 +174,7 @@ export function stream(
let finished = false;
let running = false;
let runTools: any[] = [];
let responseRes: Response;
// animate response to make it looks smooth
function animateResponseText() {
@@ -272,7 +273,7 @@ export function stream(
}
console.debug("[ChatAPI] end");
finished = true;
options.onFinish(responseText + remainText);
options.onFinish(responseText + remainText, responseRes); // 将res传递给onFinish
}
};
@@ -304,6 +305,7 @@ export function stream(
clearTimeout(requestTimeoutId);
const contentType = res.headers.get("content-type");
console.log("[Request] response content type: ", contentType);
responseRes = res;
if (contentType?.startsWith("text/plain")) {
responseText = await res.clone().text();

View File

@@ -37,6 +37,17 @@ const sortModelTable = (models: ReturnType<typeof collectModels>) =>
}
});
/**
* get model name and provider from a formatted string,
* e.g. `gpt-4@OpenAi` or `claude-3-5-sonnet@20240620@Google`
* @param modelWithProvider model name with provider separated by last `@` char,
* @returns [model, provider] tuple, if no `@` char found, provider is undefined
*/
export function getModelProvider(modelWithProvider: string): [string, string?] {
const [model, provider] = modelWithProvider.split(/@(?!.*@)/);
return [model, provider];
}
export function collectModelTable(
models: readonly LLMModel[],
customModels: string,
@@ -79,10 +90,10 @@ export function collectModelTable(
);
} else {
// 1. find model by name, and set available value
const [customModelName, customProviderName] = name.split("@");
const [customModelName, customProviderName] = getModelProvider(name);
let count = 0;
for (const fullName in modelTable) {
const [modelName, providerName] = fullName.split("@");
const [modelName, providerName] = getModelProvider(fullName);
if (
customModelName == modelName &&
(customProviderName === undefined ||
@@ -102,7 +113,7 @@ export function collectModelTable(
}
// 2. if model not exists, create new model with available value
if (count === 0) {
let [customModelName, customProviderName] = name.split("@");
let [customModelName, customProviderName] = getModelProvider(name);
const provider = customProvider(
customProviderName || customModelName,
);
@@ -139,7 +150,7 @@ export function collectModelTableWithDefaultModel(
for (const key of Object.keys(modelTable)) {
if (
modelTable[key].available &&
key.split("@").shift() == defaultModel
getModelProvider(key)[0] == defaultModel
) {
modelTable[key].isDefault = true;
break;

View File

@@ -19,7 +19,7 @@ type StreamResponse = {
headers: Record<string, string>;
};
export function fetch(url: string, options?: RequestInit): Promise<any> {
export function fetch(url: string, options?: RequestInit): Promise<Response> {
if (window.__TAURI__) {
const {
signal,
@@ -100,7 +100,8 @@ export function fetch(url: string, options?: RequestInit): Promise<any> {
})
.catch((e) => {
console.error("stream error", e);
throw e;
// throw e;
return new Response("", { status: 599 });
});
}
return window.fetch(url, options);

29
docs/bt-cn.md Normal file
View File

@@ -0,0 +1,29 @@
# 宝塔面板 的部署说明
## 拥有自己的宝塔
当你需要通过 宝塔面板 部署本项目之前,需要在服务器上先安装好 宝塔面板工具。 接下来的 部署流程 都建立在已有宝塔面板的前提下。宝塔安装请参考 ([宝塔官网](https://www.bt.cn/new/download.html))
> 注意:本项目需要宝塔面板版本 9.2.0 及以上
## 一键安装
![bt-install-1](./images/bt/bt-install-1.jpeg)
1. 在 宝塔面板 -> Docker -> 应用商店 页面,搜索 ChatGPT-Next-Web 找到本项目的docker应用
2. 点击 安装 开始部署本项目
![bt-install-2](./images/bt/bt-install-2.jpeg)
1. 在项目配置页,根据要求开始配置环境变量;
2. 如勾选 允许外部访问 配置,请注意为配置的 web端口 开放安全组端口访问权限;
3. 请确保你添加了正确的 Open Api Key否则无法使用当配置 OpenAI官方 提供的key(国内无法访问),请配置代理地址;
4. 建议配置 访问权限密码,否则部署后所有人均可使用已配置的 Open Api Key(当允许外部访问时)
5. 点击 确认 开始自动部署。
## 如何访问
![bt-install-3](./images/bt/bt-install-3.jpeg)
通过根据 服务器IP地址 和配置的 web端口 http://$(host):$(port),在浏览器中打开 ChatGPT-Next-Web。
![bt-install-4](./images/bt/bt-install-4.jpeg)
若配置了 访问权限密码,访问大模型前需要登录,请点击 登录,获取访问权限。
![bt-install-5](./images/bt/bt-install-5.jpeg)
![bt-install-6](./images/bt/bt-install-6.jpeg)

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View File

@@ -1,2 +1,24 @@
// Learn more: https://github.com/testing-library/jest-dom
import "@testing-library/jest-dom";
global.fetch = jest.fn(() =>
Promise.resolve({
ok: true,
status: 200,
json: () => Promise.resolve({}),
headers: new Headers(),
redirected: false,
statusText: "OK",
type: "basic",
url: "",
clone: function () {
return this;
},
body: null,
bodyUsed: false,
arrayBuffer: () => Promise.resolve(new ArrayBuffer(0)),
blob: () => Promise.resolve(new Blob()),
formData: () => Promise.resolve(new FormData()),
text: () => Promise.resolve(""),
}),
);

View File

@@ -94,8 +94,12 @@ if (mode !== "export") {
source: "/sharegpt",
destination: "https://sharegpt.com/api/conversations",
},
{
source: "/api/proxy/alibaba/:path*",
destination: "https://dashscope.aliyuncs.com/api/:path*",
},
];
return {
beforeFiles: ret,
};

View File

@@ -27,14 +27,15 @@
"@vercel/analytics": "^0.1.11",
"@vercel/speed-insights": "^1.0.2",
"axios": "^1.7.5",
"clsx": "^2.1.1",
"emoji-picker-react": "^4.9.2",
"fuse.js": "^7.0.0",
"heic2any": "^0.0.4",
"html-to-image": "^1.11.11",
"idb-keyval": "^6.2.1",
"lodash-es": "^4.17.21",
"mermaid": "^10.6.1",
"markdown-to-txt": "^2.0.1",
"mermaid": "^10.6.1",
"nanoid": "^5.0.3",
"next": "^14.1.1",
"node-fetch": "^3.3.1",
@@ -51,14 +52,16 @@
"sass": "^1.59.2",
"spark-md5": "^3.0.2",
"use-debounce": "^9.0.4",
"zustand": "^4.3.8"
"zustand": "^4.3.8",
"rt-client": "https://github.com/Azure-Samples/aoai-realtime-audio-sdk/releases/download/js/v0.5.0/rt-client-0.5.0.tgz"
},
"devDependencies": {
"@tauri-apps/api": "^1.6.0",
"@tauri-apps/cli": "1.5.11",
"@testing-library/jest-dom": "^6.4.8",
"@testing-library/react": "^16.0.0",
"@types/jest": "^29.5.13",
"@testing-library/dom": "^10.4.0",
"@testing-library/jest-dom": "^6.6.2",
"@testing-library/react": "^16.0.1",
"@types/jest": "^29.5.14",
"@types/js-yaml": "4.0.9",
"@types/lodash-es": "^4.17.12",
"@types/node": "^20.11.30",

48
public/audio-processor.js Normal file
View File

@@ -0,0 +1,48 @@
// @ts-nocheck
class AudioRecorderProcessor extends AudioWorkletProcessor {
constructor() {
super();
this.isRecording = false;
this.bufferSize = 2400; // 100ms at 24kHz
this.currentBuffer = [];
this.port.onmessage = (event) => {
if (event.data.command === "START_RECORDING") {
this.isRecording = true;
} else if (event.data.command === "STOP_RECORDING") {
this.isRecording = false;
if (this.currentBuffer.length > 0) {
this.sendBuffer();
}
}
};
}
sendBuffer() {
if (this.currentBuffer.length > 0) {
const audioData = new Float32Array(this.currentBuffer);
this.port.postMessage({
eventType: "audio",
audioData: audioData,
});
this.currentBuffer = [];
}
}
process(inputs) {
const input = inputs[0];
if (input.length > 0 && this.isRecording) {
const audioData = input[0];
this.currentBuffer.push(...audioData);
if (this.currentBuffer.length >= this.bufferSize) {
this.sendBuffer();
}
}
return true;
}
}
registerProcessor("audio-recorder-processor", AudioRecorderProcessor);

View File

@@ -119,11 +119,22 @@ pub async fn stream_fetch(
}
}
Err(err) => {
println!("Error response: {:?}", err.source().expect("REASON").to_string());
let error: String = err.source()
.map(|e| e.to_string())
.unwrap_or_else(|| "Unknown error occurred".to_string());
println!("Error response: {:?}", error);
tauri::async_runtime::spawn( async move {
if let Err(e) = window.emit(event_name, ChunkPayload{ request_id, chunk: error.into() }) {
println!("Failed to emit chunk payload: {:?}", e);
}
if let Err(e) = window.emit(event_name, EndPayload{ request_id, status: 0 }) {
println!("Failed to emit end payload: {:?}", e);
}
});
StreamResponse {
request_id,
status: 599,
status_text: err.source().expect("REASON").to_string(),
status_text: "Error".to_string(),
headers: HashMap::new(),
}
}

View File

@@ -9,7 +9,7 @@
},
"package": {
"productName": "NextChat",
"version": "2.15.6"
"version": "2.15.8"
},
"tauri": {
"allowlist": {

View File

@@ -0,0 +1,31 @@
import { getModelProvider } from "../app/utils/model";
describe("getModelProvider", () => {
test("should return model and provider when input contains '@'", () => {
const input = "model@provider";
const [model, provider] = getModelProvider(input);
expect(model).toBe("model");
expect(provider).toBe("provider");
});
test("should return model and undefined provider when input does not contain '@'", () => {
const input = "model";
const [model, provider] = getModelProvider(input);
expect(model).toBe("model");
expect(provider).toBeUndefined();
});
test("should handle multiple '@' characters correctly", () => {
const input = "model@provider@extra";
const [model, provider] = getModelProvider(input);
expect(model).toBe("model@provider");
expect(provider).toBe("extra");
});
test("should return empty strings when input is empty", () => {
const input = "";
const [model, provider] = getModelProvider(input);
expect(model).toBe("");
expect(provider).toBeUndefined();
});
});

117
yarn.lock
View File

@@ -27,6 +27,15 @@
dependencies:
"@babel/highlight" "^7.18.6"
"@babel/code-frame@^7.10.4":
version "7.26.0"
resolved "https://registry.npmmirror.com/@babel/code-frame/-/code-frame-7.26.0.tgz#9374b5cd068d128dac0b94ff482594273b1c2815"
integrity sha512-INCKxTtbXtcNbUZ3YXutwMpEleqttcswhAdee7dhuoVrD2cnuc3PqtERBtxkX5nziX9vnBL8WXmSGwv8CuPV6g==
dependencies:
"@babel/helper-validator-identifier" "^7.25.9"
js-tokens "^4.0.0"
picocolors "^1.0.0"
"@babel/code-frame@^7.12.13", "@babel/code-frame@^7.24.7":
version "7.24.7"
resolved "https://registry.npmmirror.com/@babel/code-frame/-/code-frame-7.24.7.tgz#882fd9e09e8ee324e496bd040401c6f046ef4465"
@@ -394,6 +403,11 @@
resolved "https://registry.npmmirror.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.24.7.tgz#75b889cfaf9e35c2aaf42cf0d72c8e91719251db"
integrity sha512-rR+PBcQ1SMQDDyF6X0wxtG8QyLCgUB0eRAGguqRLfkCA87l7yAP7ehq8SNj96OOGTO8OBV70KhuFYcIkHXOg0w==
"@babel/helper-validator-identifier@^7.25.9":
version "7.25.9"
resolved "https://registry.npmmirror.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.25.9.tgz#24b64e2c3ec7cd3b3c547729b8d16871f22cbdc7"
integrity sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ==
"@babel/helper-validator-option@^7.18.6", "@babel/helper-validator-option@^7.21.0":
version "7.21.0"
resolved "https://registry.yarnpkg.com/@babel/helper-validator-option/-/helper-validator-option-7.21.0.tgz#8224c7e13ace4bafdc4004da2cf064ef42673180"
@@ -1187,14 +1201,7 @@
resolved "https://registry.yarnpkg.com/@babel/regjsgen/-/regjsgen-0.8.0.tgz#f0ba69b075e1f05fb2825b7fad991e7adbb18310"
integrity sha512-x/rqGMdzj+fWZvCOYForTghzbtqPDZ5gPwaoNGHdgDfF2QA/XZbCBp4Moo5scrkAMPhB7z26XM/AaHuIJdgauA==
"@babel/runtime@^7.12.1", "@babel/runtime@^7.20.7", "@babel/runtime@^7.23.2", "@babel/runtime@^7.8.4", "@babel/runtime@^7.9.2":
version "7.23.6"
resolved "https://registry.yarnpkg.com/@babel/runtime/-/runtime-7.23.6.tgz#c05e610dc228855dc92ef1b53d07389ed8ab521d"
integrity sha512-zHd0eUrf5GZoOWVCXp6koAKQTfZV07eit6bGPmJgnZdnSAvvZee6zniW2XMF7Cmc4ISOOnPy3QaSiIJGJkVEDQ==
dependencies:
regenerator-runtime "^0.14.0"
"@babel/runtime@^7.12.5", "@babel/runtime@^7.21.0":
"@babel/runtime@^7.12.1", "@babel/runtime@^7.12.5", "@babel/runtime@^7.20.7", "@babel/runtime@^7.21.0", "@babel/runtime@^7.23.2", "@babel/runtime@^7.8.4", "@babel/runtime@^7.9.2":
version "7.25.0"
resolved "https://registry.yarnpkg.com/@babel/runtime/-/runtime-7.25.0.tgz#3af9a91c1b739c569d5d80cc917280919c544ecb"
integrity sha512-7dRy4DwXwtzBrPbZflqxnvfxLF8kdZXPkhymtDeFoFqE6ldzjQFgYTtYIFARcLEYDrqfBfYcZt1WqFxRoyC9Rw==
@@ -2093,13 +2100,26 @@
"@tauri-apps/cli-win32-ia32-msvc" "1.5.11"
"@tauri-apps/cli-win32-x64-msvc" "1.5.11"
"@testing-library/jest-dom@^6.4.8":
version "6.4.8"
resolved "https://registry.npmmirror.com/@testing-library/jest-dom/-/jest-dom-6.4.8.tgz#9c435742b20c6183d4e7034f2b329d562c079daa"
integrity sha512-JD0G+Zc38f5MBHA4NgxQMR5XtO5Jx9g86jqturNTt2WUfRmLDIY7iKkWHDCCTiDuFMre6nxAD5wHw9W5kI4rGw==
"@testing-library/dom@^10.4.0":
version "10.4.0"
resolved "https://registry.npmmirror.com/@testing-library/dom/-/dom-10.4.0.tgz#82a9d9462f11d240ecadbf406607c6ceeeff43a8"
integrity sha512-pemlzrSESWbdAloYml3bAJMEfNh1Z7EduzqPKprCH5S341frlpYnUEW0H72dLxa6IsYr+mPno20GiSm+h9dEdQ==
dependencies:
"@babel/code-frame" "^7.10.4"
"@babel/runtime" "^7.12.5"
"@types/aria-query" "^5.0.1"
aria-query "5.3.0"
chalk "^4.1.0"
dom-accessibility-api "^0.5.9"
lz-string "^1.5.0"
pretty-format "^27.0.2"
"@testing-library/jest-dom@^6.6.2":
version "6.6.2"
resolved "https://registry.yarnpkg.com/@testing-library/jest-dom/-/jest-dom-6.6.2.tgz#8186aa9a07263adef9cc5a59a4772db8c31f4a5b"
integrity sha512-P6GJD4yqc9jZLbe98j/EkyQDTPgqftohZF5FBkHY5BUERZmcf4HeO2k0XaefEg329ux2p21i1A1DmyQ1kKw2Jw==
dependencies:
"@adobe/css-tools" "^4.4.0"
"@babel/runtime" "^7.9.2"
aria-query "^5.0.0"
chalk "^3.0.0"
css.escape "^1.5.1"
@@ -2107,10 +2127,10 @@
lodash "^4.17.21"
redent "^3.0.0"
"@testing-library/react@^16.0.0":
version "16.0.0"
resolved "https://registry.npmmirror.com/@testing-library/react/-/react-16.0.0.tgz#0a1e0c7a3de25841c3591b8cb7fb0cf0c0a27321"
integrity sha512-guuxUKRWQ+FgNX0h0NS0FIq3Q3uLtWVpBzcLOggmfMoUpgBnzBzvLLd4fbm6yS8ydJd94cIfY4yP9qUQjM2KwQ==
"@testing-library/react@^16.0.1":
version "16.0.1"
resolved "https://registry.yarnpkg.com/@testing-library/react/-/react-16.0.1.tgz#29c0ee878d672703f5e7579f239005e4e0faa875"
integrity sha512-dSmwJVtJXmku+iocRhWOUFbrERC76TX2Mnf0ATODz8brzAZrMBbzLwQixlBSanZxR6LddK3eiwpSFZgDET1URg==
dependencies:
"@babel/runtime" "^7.12.5"
@@ -2144,6 +2164,11 @@
resolved "https://registry.npmmirror.com/@tsconfig/node16/-/node16-1.0.4.tgz#0b92dcc0cc1c81f6f306a381f28e31b1a56536e9"
integrity sha512-vxhUy4J8lyeyinH7Azl1pdd43GJhZH/tP2weN8TntQblOY+A0XbT8DJk1/oCPuOOyg/Ja757rG0CgHcWC8OfMA==
"@types/aria-query@^5.0.1":
version "5.0.4"
resolved "https://registry.npmmirror.com/@types/aria-query/-/aria-query-5.0.4.tgz#1a31c3d378850d2778dabb6374d036dcba4ba708"
integrity sha512-rfT93uj5s0PRL7EzccGMs3brplhcrghnDoV26NqKhCAS1hVo+WdNsPvE/yb6ilfr5hi2MEk6d5EWJTKdxg8jVw==
"@types/babel__core@^7.1.14":
version "7.20.5"
resolved "https://registry.npmmirror.com/@types/babel__core/-/babel__core-7.20.5.tgz#3df15f27ba85319caa07ba08d0721889bb39c017"
@@ -2263,10 +2288,10 @@
dependencies:
"@types/istanbul-lib-report" "*"
"@types/jest@^29.5.13":
version "29.5.13"
resolved "https://registry.yarnpkg.com/@types/jest/-/jest-29.5.13.tgz#8bc571659f401e6a719a7bf0dbcb8b78c71a8adc"
integrity sha512-wd+MVEZCHt23V0/L642O5APvspWply/rGY5BcW4SUETo2UzPU3Z26qr8jC2qxpimI2jjx9h7+2cj2FwIr01bXg==
"@types/jest@^29.5.14":
version "29.5.14"
resolved "https://registry.yarnpkg.com/@types/jest/-/jest-29.5.14.tgz#2b910912fa1d6856cadcd0c1f95af7df1d6049e5"
integrity sha512-ZN+4sdnLUbo8EVvVc2ao0GFW6oVrQRPn4K2lglySj7APvSrgzxHiNNK99us4WDMi57xxA2yggblIAMNhXOotLQ==
dependencies:
expect "^29.0.0"
pretty-format "^29.0.0"
@@ -2738,20 +2763,13 @@ argparse@^2.0.1:
resolved "https://registry.yarnpkg.com/argparse/-/argparse-2.0.1.tgz#246f50f3ca78a3240f6c997e8a9bd1eac49e4b38"
integrity sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q==
aria-query@^5.0.0:
aria-query@5.3.0, aria-query@^5.0.0, aria-query@^5.1.3:
version "5.3.0"
resolved "https://registry.npmmirror.com/aria-query/-/aria-query-5.3.0.tgz#650c569e41ad90b51b3d7df5e5eed1c7549c103e"
integrity sha512-b0P0sZPKtyu8HkeRAfCq0IfURZK+SuwMjY1UXGBU27wpAiTwQAIlq56IbIO+ytk/JjS1fMR14ee5WBBfKi5J6A==
dependencies:
dequal "^2.0.3"
aria-query@^5.1.3:
version "5.1.3"
resolved "https://registry.yarnpkg.com/aria-query/-/aria-query-5.1.3.tgz#19db27cd101152773631396f7a95a3b58c22c35e"
integrity sha512-R5iJ5lkuHybztUfuOAznmboyjWq8O6sqNqtK7CLOqdydi54VNbORp49mb14KbWgG1QD3JFO9hJdZ+y4KutfdOQ==
dependencies:
deep-equal "^2.0.5"
array-buffer-byte-length@^1.0.0:
version "1.0.0"
resolved "https://registry.yarnpkg.com/array-buffer-byte-length/-/array-buffer-byte-length-1.0.0.tgz#fabe8bc193fea865f317fe7807085ee0dee5aead"
@@ -3081,7 +3099,7 @@ chalk@^3.0.0:
ansi-styles "^4.1.0"
supports-color "^7.1.0"
chalk@^4.0.0, chalk@^4.1.2:
chalk@^4.0.0, chalk@^4.1.0, chalk@^4.1.2:
version "4.1.2"
resolved "https://registry.yarnpkg.com/chalk/-/chalk-4.1.2.tgz#aac4e2b7734a740867aeb16bf02aad556a1e7a01"
integrity sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==
@@ -3171,6 +3189,11 @@ cliui@^8.0.1:
strip-ansi "^6.0.1"
wrap-ansi "^7.0.0"
clsx@^2.1.1:
version "2.1.1"
resolved "https://registry.yarnpkg.com/clsx/-/clsx-2.1.1.tgz#eed397c9fd8bd882bfb18deab7102049a2f32999"
integrity sha512-eYm0QWBtUrBWZWG0d386OGAw16Z995PiOVo2B7bjWSbHedGl5e0ZWaq65kOGgUSNesEIDkB9ISbTg/JK9dhCZA==
co@^4.6.0:
version "4.6.0"
resolved "https://registry.npmmirror.com/co/-/co-4.6.0.tgz#6ea6bdf3d853ae54ccb8e47bfa0bf3f9031fb184"
@@ -3877,6 +3900,11 @@ doctrine@^3.0.0:
dependencies:
esutils "^2.0.2"
dom-accessibility-api@^0.5.9:
version "0.5.16"
resolved "https://registry.npmmirror.com/dom-accessibility-api/-/dom-accessibility-api-0.5.16.tgz#5a7429e6066eb3664d911e33fb0e45de8eb08453"
integrity sha512-X7BJ2yElsnOJ30pZF4uIIDfBEVgF4XEBxL9Bxhy6dnrm5hkzqmsWHGTiHqRiITNhMyFLyAiWndIJP7Z1NTteDg==
dom-accessibility-api@^0.6.3:
version "0.6.3"
resolved "https://registry.npmmirror.com/dom-accessibility-api/-/dom-accessibility-api-0.6.3.tgz#993e925cc1d73f2c662e7d75dd5a5445259a8fd8"
@@ -6052,6 +6080,11 @@ lru-cache@^6.0.0:
dependencies:
yallist "^4.0.0"
lz-string@^1.5.0:
version "1.5.0"
resolved "https://registry.npmmirror.com/lz-string/-/lz-string-1.5.0.tgz#c1ab50f77887b712621201ba9fd4e3a6ed099941"
integrity sha512-h5bgJWpxJNswbU7qCrV0tIKQCaS3blPDrqKWx+QxzuzL1zGUzij9XCWLrSLsJPu5t+eWA/ycetzYAO5IOMcWAQ==
make-dir@^4.0.0:
version "4.0.0"
resolved "https://registry.npmmirror.com/make-dir/-/make-dir-4.0.0.tgz#c3c2307a771277cd9638305f915c29ae741b614e"
@@ -7018,6 +7051,15 @@ prettier@^3.0.2:
resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.0.2.tgz#78fcecd6d870551aa5547437cdae39d4701dca5b"
integrity sha512-o2YR9qtniXvwEZlOKbveKfDQVyqxbEIWn48Z8m3ZJjBjcCmUy3xZGIv+7AkaeuaTr6yPXJjwv07ZWlsWbEy1rQ==
pretty-format@^27.0.2:
version "27.5.1"
resolved "https://registry.npmmirror.com/pretty-format/-/pretty-format-27.5.1.tgz#2181879fdea51a7a5851fb39d920faa63f01d88e"
integrity sha512-Qb1gy5OrP5+zDf2Bvnzdl3jsTf1qXVMazbvCoKhtKqVs4/YK4ozX4gKQJJVyNe+cajNPn0KoC0MC3FUmaHWEmQ==
dependencies:
ansi-regex "^5.0.1"
ansi-styles "^5.0.0"
react-is "^17.0.1"
pretty-format@^29.0.0, pretty-format@^29.7.0:
version "29.7.0"
resolved "https://registry.npmmirror.com/pretty-format/-/pretty-format-29.7.0.tgz#ca42c758310f365bfa71a0bda0a807160b776812"
@@ -7109,6 +7151,11 @@ react-is@^16.13.1, react-is@^16.7.0:
resolved "https://registry.yarnpkg.com/react-is/-/react-is-16.13.1.tgz#789729a4dc36de2999dc156dd6c1d9c18cea56a4"
integrity sha512-24e6ynE2H+OKt4kqsOvNd8kBpV65zoxbA4BVsEOB3ARVWQki/DHzaUoC5KuON/BiccDaCCTZBuOcfZs70kR8bQ==
react-is@^17.0.1:
version "17.0.2"
resolved "https://registry.npmmirror.com/react-is/-/react-is-17.0.2.tgz#e691d4a8e9c789365655539ab372762b0efb54f0"
integrity sha512-w2GsyukL62IJnlaff/nRegPQR94C/XXamvMWmSHRJ4y7Ts/4ocGRmTHvOs8PSE6pB3dWOrD/nueuU5sduBsQ4w==
react-is@^18.0.0:
version "18.2.0"
resolved "https://registry.yarnpkg.com/react-is/-/react-is-18.2.0.tgz#199431eeaaa2e09f86427efbb4f1473edb47609b"
@@ -7408,6 +7455,12 @@ robust-predicates@^3.0.0:
resolved "https://registry.npmmirror.com/robust-predicates/-/robust-predicates-3.0.1.tgz#ecde075044f7f30118682bd9fb3f123109577f9a"
integrity sha512-ndEIpszUHiG4HtDsQLeIuMvRsDnn8c8rYStabochtUeCvfuvNptb5TUbVD68LRAILPX7p9nqQGh4xJgn3EHS/g==
"rt-client@https://github.com/Azure-Samples/aoai-realtime-audio-sdk/releases/download/js/v0.5.0/rt-client-0.5.0.tgz":
version "0.5.0"
resolved "https://github.com/Azure-Samples/aoai-realtime-audio-sdk/releases/download/js/v0.5.0/rt-client-0.5.0.tgz#abf2e9a850201e3571b8d36830f77bc52af3de9b"
dependencies:
ws "^8.18.0"
run-parallel@^1.1.9:
version "1.2.0"
resolved "https://registry.yarnpkg.com/run-parallel/-/run-parallel-1.2.0.tgz#66d1368da7bdf921eb9d95bd1a9229e7f21a43ee"
@@ -8451,9 +8504,9 @@ write-file-atomic@^4.0.2:
imurmurhash "^0.1.4"
signal-exit "^3.0.7"
ws@^8.11.0:
ws@^8.11.0, ws@^8.18.0:
version "8.18.0"
resolved "https://registry.npmmirror.com/ws/-/ws-8.18.0.tgz#0d7505a6eafe2b0e712d232b42279f53bc289bbc"
resolved "https://registry.yarnpkg.com/ws/-/ws-8.18.0.tgz#0d7505a6eafe2b0e712d232b42279f53bc289bbc"
integrity sha512-8VbfWfHLbbwu3+N6OKsOMpBdT4kXPDDB9cJk2bJ6mh9ucxdlnNvH1e+roYkKmN9Nxw2yjz7VzeO9oOz2zJ04Pw==
xml-name-validator@^4.0.0: