diff --git a/.env.example b/.env.example index ec6de216f5b2..007d85a31afe 100644 --- a/.env.example +++ b/.env.example @@ -125,14 +125,14 @@ OPENAI_API_KEY=sk-xxxxxxxxx ############ Market Service ############ ######################################## -# The LobeChat agents market index url +# The Mr.🆖 AI agents market index url # AGENTS_INDEX_URL=https://chat-agents.lobehub.com ######################################## ############ Plugin Service ############ ######################################## -# The LobeChat plugins store index url +# The Mr.🆖 AI plugins store index url # PLUGINS_INDEX_URL=https://chat-plugins.lobehub.com # set the plugin settings @@ -160,13 +160,13 @@ OPENAI_API_KEY=sk-xxxxxxxxx # S3_SECRET_ACCESS_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxxxx # Bucket name -# S3_BUCKET=lobechat +# S3_BUCKET=Mr.🆖 AI # Bucket request endpoint # S3_ENDPOINT=https://xxxxxxxxxxxxxxxxxxxxxxxxxxxxx.r2.cloudflarestorage.com # Public access domain for the bucket -# S3_PUBLIC_DOMAIN=https://s3-for-lobechat.your-domain.com +# S3_PUBLIC_DOMAIN=https://s3-for-Mr.🆖 AI.your-domain.com # Bucket region, such as us-west-1, generally not needed to add # but some service providers may require configuration diff --git a/.github/workflows/lighthouse.yml b/.github/workflows/lighthouse.yml index 39cb86013b43..d5cac54858f1 100644 --- a/.github/workflows/lighthouse.yml +++ b/.github/workflows/lighthouse.yml @@ -24,19 +24,19 @@ jobs: fail-fast: false matrix: include: - - NAME: 'LobeChat | Welcome' + - NAME: 'Mr.🆖 AI | Welcome' URLS: 'https://chat-preview.lobehub.com/welcome' BADGES_ARGS: '-b pagespeed -o lighthouse/welcome -r' COMMIT_MESSAGE: '🤖 chore: Lighthouse Results | Welcome' - - NAME: 'LobeChat | Chat' + - NAME: 'Mr.🆖 AI | Chat' URLS: 'https://chat-preview.lobehub.com/chat' BADGES_ARGS: '-b pagespeed -o lighthouse/chat -r' COMMIT_MESSAGE: '🤖 chore: Lighthouse Results | Chat' - - NAME: 'LobeChat | Market' + - NAME: 'Mr.🆖 AI | Market' URLS: 'https://chat-preview.lobehub.com/market' BADGES_ARGS: '-b pagespeed -o lighthouse/market -r' COMMIT_MESSAGE: '🤖 chore: Lighthouse Results | Market' - - NAME: 'LobeChat | Settings' + - NAME: 'Mr.🆖 AI | Settings' URLS: 'https://chat-preview.lobehub.com/settings' BADGES_ARGS: '-b pagespeed -o lighthouse/settings -r' COMMIT_MESSAGE: '🤖 chore: Lighthouse Results | Settings' diff --git a/.github/workflows/sync.yml b/.github/workflows/sync.yml index abc93f81ba01..fce0e8973cb4 100644 --- a/.github/workflows/sync.yml +++ b/.github/workflows/sync.yml @@ -43,12 +43,12 @@ jobs: title: '🚨 同步失败 | Sync Fail' labels: '🚨 Sync Fail' body: | - Due to a change in the workflow file of the [LobeChat][lobechat] upstream repository, GitHub has automatically suspended the scheduled automatic update. You need to manually sync your fork. Please refer to the detailed [Tutorial][tutorial-en-US] for instructions. + Due to a change in the workflow file of the [Mr.🆖 AI][Mr.🆖 AI] upstream repository, GitHub has automatically suspended the scheduled automatic update. You need to manually sync your fork. Please refer to the detailed [Tutorial][tutorial-en-US] for instructions. - 由于 [LobeChat][lobechat] 上游仓库的 workflow 文件变更,导致 GitHub 自动暂停了本次自动更新,你需要手动 Sync Fork 一次,请查看 [详细教程][tutorial-zh-CN] + 由于 [Mr.🆖 AI][Mr.🆖 AI] 上游仓库的 workflow 文件变更,导致 GitHub 自动暂停了本次自动更新,你需要手动 Sync Fork 一次,请查看 [详细教程][tutorial-zh-CN] ![](https://github-production-user-asset-6210df.s3.amazonaws.com/17870709/273954625-df80c890-0822-4ac2-95e6-c990785cbed5.png) - [lobechat]: https://github.com/lobehub/lobe-chat + [Mr.🆖 AI]: https://github.com/lobehub/lobe-chat [tutorial-zh-CN]: https://github.com/lobehub/lobe-chat/wiki/Upstream-Sync.zh-CN [tutorial-en-US]: https://github.com/lobehub/lobe-chat/wiki/Upstream-Sync diff --git a/CHANGELOG.md b/CHANGELOG.md index fbd1285d9904..22ba442bacab 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -11734,7 +11734,7 @@ #### ✨ Features -- **misc**: Release LobeChat 1.0. +- **misc**: Release Mr.🆖 AI 1.0. #### 🔧 Chores @@ -11747,7 +11747,7 @@ #### What's improved -- **misc**: Release LobeChat 1.0, closes [#2897](https://github.com/lobehub/lobe-chat/issues/2897) ([97bb377](https://github.com/lobehub/lobe-chat/commit/97bb377)) +- **misc**: Release Mr.🆖 AI 1.0, closes [#2897](https://github.com/lobehub/lobe-chat/issues/2897) ([97bb377](https://github.com/lobehub/lobe-chat/commit/97bb377)) #### Chores diff --git a/LICENSE b/LICENSE index 4704b86e70a5..59ba5d6d0ec9 100644 --- a/LICENSE +++ b/LICENSE @@ -4,13 +4,13 @@ Copyright (c) 2024/06/17 - current LobeHub LLC. All rights reserved. ---------- -From 1.0, LobeChat is licensed under the Apache License 2.0, with the following additional conditions: +From 1.0, Mr.🆖 AI is licensed under the Apache License 2.0, with the following additional conditions: -1. The commercial usage of LobeChat: +1. The commercial usage of Mr.🆖 AI: - a. LobeChat may be utilized commercially, including as a frontend and backend service without modifying the source code. + a. Mr.🆖 AI may be utilized commercially, including as a frontend and backend service without modifying the source code. - b. a commercial license must be obtained from the producer if you want to develop and distribute a derivative work based on LobeChat. + b. a commercial license must be obtained from the producer if you want to develop and distribute a derivative work based on Mr.🆖 AI. Please contact hello@lobehub.com by email to inquire about licensing matters. diff --git a/README.ja-JP.md b/README.ja-JP.md index ac0f38133c9c..00b2b8e60523 100644 --- a/README.ja-JP.md +++ b/README.ja-JP.md @@ -27,7 +27,7 @@ [![][github-license-shield]][github-license-link]
[![][sponsor-shield]][sponsor-link] -**LobeChat リポジトリを共有** +**Mr.🆖 AI リポジトリを共有** [![][share-x-shield]][share-x-link] [![][share-telegram-shield]][share-telegram-link] @@ -88,7 +88,7 @@ 私たちは、AIGC のためのモダンデザインコンポーネントとツールを提供することを目指すデザインエンジニアのグループです。 ブートストラッピングアプローチを採用することで、開発者とユーザーに対してよりオープンで透明性のある、使いやすい製品エコシステムを提供することを目指しています。 -ユーザーやプロの開発者にとって、LobeHub はあなたの AI エージェントの遊び場となるでしょう。LobeChat は現在アクティブに開発中であり、遭遇した[問題][issues-link]についてのフィードバックを歓迎します。 +ユーザーやプロの開発者にとって、LobeHub はあなたの AI エージェントの遊び場となるでしょう。Mr.🆖 AI は現在アクティブに開発中であり、遭遇した[問題][issues-link]についてのフィードバックを歓迎します。 | [![][vercel-shield-badge]][vercel-link] | インストールや登録は不要です!私たちのウェブサイトにアクセスして、直接体験してください。 | | :---------------------------------------- | :---------------------------------------------------------------------------------------------------------------------- | @@ -114,9 +114,9 @@ ### `1` [マルチモデルサービスプロバイダーのサポート][docs-feat-provider] -LobeChat の継続的な開発において、AI 会話サービスを提供する際のモデルサービスプロバイダーの多様性がコミュニティのニーズを満たすために重要であることを深く理解しています。そのため、単一のモデルサービスプロバイダーに限定せず、複数のモデルサービスプロバイダーをサポートすることで、ユーザーにより多様で豊富な会話の選択肢を提供しています。 +Mr.🆖 AI の継続的な開発において、AI 会話サービスを提供する際のモデルサービスプロバイダーの多様性がコミュニティのニーズを満たすために重要であることを深く理解しています。そのため、単一のモデルサービスプロバイダーに限定せず、複数のモデルサービスプロバイダーをサポートすることで、ユーザーにより多様で豊富な会話の選択肢を提供しています。 -このようにして、LobeChat は異なるユーザーのニーズにより柔軟に対応し、開発者にも幅広い選択肢を提供します。 +このようにして、Mr.🆖 AI は異なるユーザーのニーズにより柔軟に対応し、開発者にも幅広い選択肢を提供します。 #### サポートされているモデルサービスプロバイダー @@ -124,53 +124,53 @@ LobeChat の継続的な開発において、AI 会話サービスを提供す -- **[Mr.🆖 AI Hub](https://lobechat.com/discover/provider/openai)**: OpenAI は、世界をリードする人工知能研究機関であり、GPT シリーズなどのモデルを開発し、自然言語処理の最前線を推進しています。OpenAI は、革新と効率的な AI ソリューションを通じて、さまざまな業界を変革することに取り組んでいます。彼らの製品は、顕著な性能と経済性を持ち、研究、ビジネス、革新アプリケーションで広く使用されています。 -- **[Ollama](https://lobechat.com/discover/provider/ollama)**: Ollama が提供するモデルは、コード生成、数学演算、多言語処理、対話インタラクションなどの分野を広くカバーし、企業向けおよびローカライズされた展開の多様なニーズに対応しています。 -- **[Anthropic](https://lobechat.com/discover/provider/anthropic)**: Anthropic は、人工知能の研究と開発に特化した企業であり、Claude 3.5 Sonnet、Claude 3 Sonnet、Claude 3 Opus、Claude 3 Haiku などの先進的な言語モデルを提供しています。これらのモデルは、知性、速度、コストの理想的なバランスを実現しており、企業向けのワークロードから迅速な応答が求められるさまざまなアプリケーションシーンに適しています。Claude 3.5 Sonnet は最新のモデルであり、複数の評価で優れたパフォーマンスを示し、高いコストパフォーマンスを維持しています。 -- **[Bedrock](https://lobechat.com/discover/provider/bedrock)**: Bedrock は、Amazon AWS が提供するサービスで、企業に先進的な AI 言語モデルと視覚モデルを提供することに特化しています。そのモデルファミリーには、Anthropic の Claude シリーズや Meta の Llama 3.1 シリーズなどが含まれ、軽量から高性能までのさまざまな選択肢を提供し、テキスト生成、対話、画像処理などの多様なタスクをサポートし、異なる規模とニーズの企業アプリケーションに適しています。 -- **[Google](https://lobechat.com/discover/provider/google)**: Google の Gemini シリーズは、Google DeepMind によって開発された最先端で汎用的な AI モデルであり、多モーダル設計に特化しており、テキスト、コード、画像、音声、動画のシームレスな理解と処理をサポートします。データセンターからモバイルデバイスまでのさまざまな環境に適しており、AI モデルの効率と適用範囲を大幅に向上させています。 -- **[DeepSeek](https://lobechat.com/discover/provider/deepseek)**: DeepSeek は、人工知能技術の研究と応用に特化した企業であり、最新のモデル DeepSeek-V2.5 は、汎用対話とコード処理能力を融合させ、人間の好みの整合、ライティングタスク、指示の遵守などの面で顕著な向上を実現しています。 -- **[HuggingFace](https://lobechat.com/discover/provider/huggingface)**: HuggingFace Inference API は、数千のモデルをさまざまなタスクに対して探索するための迅速かつ無料の方法を提供します。新しいアプリケーションのプロトタイプを作成している場合でも、機械学習の機能を試している場合でも、この API は複数の分野の高性能モデルに即座にアクセスできるようにします。 -- **[OpenRouter](https://lobechat.com/discover/provider/openrouter)**: OpenRouter は、OpenAI、Anthropic、LLaMA などのさまざまな最先端の大規模モデルインターフェースを提供するサービスプラットフォームであり、多様な開発と応用のニーズに適しています。ユーザーは、自身のニーズに応じて最適なモデルと価格を柔軟に選択し、AI 体験の向上を支援します。 -- **[Cloudflare Workers AI](https://lobechat.com/discover/provider/cloudflare)**: Cloudflare のグローバルネットワーク上で、サーバーレス GPU によって駆動される機械学習モデルを実行します。 -- **[GitHub](https://lobechat.com/discover/provider/github)**: GitHub モデルを使用することで、開発者は AI エンジニアになり、業界をリードする AI モデルを使って構築できます。 +- **[Mr.🆖 AI Hub](https://Mr.🆖 AI.com/discover/provider/openai)**: OpenAI は、世界をリードする人工知能研究機関であり、GPT シリーズなどのモデルを開発し、自然言語処理の最前線を推進しています。OpenAI は、革新と効率的な AI ソリューションを通じて、さまざまな業界を変革することに取り組んでいます。彼らの製品は、顕著な性能と経済性を持ち、研究、ビジネス、革新アプリケーションで広く使用されています。 +- **[Ollama](https://Mr.🆖 AI.com/discover/provider/ollama)**: Ollama が提供するモデルは、コード生成、数学演算、多言語処理、対話インタラクションなどの分野を広くカバーし、企業向けおよびローカライズされた展開の多様なニーズに対応しています。 +- **[Anthropic](https://Mr.🆖 AI.com/discover/provider/anthropic)**: Anthropic は、人工知能の研究と開発に特化した企業であり、Claude 3.5 Sonnet、Claude 3 Sonnet、Claude 3 Opus、Claude 3 Haiku などの先進的な言語モデルを提供しています。これらのモデルは、知性、速度、コストの理想的なバランスを実現しており、企業向けのワークロードから迅速な応答が求められるさまざまなアプリケーションシーンに適しています。Claude 3.5 Sonnet は最新のモデルであり、複数の評価で優れたパフォーマンスを示し、高いコストパフォーマンスを維持しています。 +- **[Bedrock](https://Mr.🆖 AI.com/discover/provider/bedrock)**: Bedrock は、Amazon AWS が提供するサービスで、企業に先進的な AI 言語モデルと視覚モデルを提供することに特化しています。そのモデルファミリーには、Anthropic の Claude シリーズや Meta の Llama 3.1 シリーズなどが含まれ、軽量から高性能までのさまざまな選択肢を提供し、テキスト生成、対話、画像処理などの多様なタスクをサポートし、異なる規模とニーズの企業アプリケーションに適しています。 +- **[Google](https://Mr.🆖 AI.com/discover/provider/google)**: Google の Gemini シリーズは、Google DeepMind によって開発された最先端で汎用的な AI モデルであり、多モーダル設計に特化しており、テキスト、コード、画像、音声、動画のシームレスな理解と処理をサポートします。データセンターからモバイルデバイスまでのさまざまな環境に適しており、AI モデルの効率と適用範囲を大幅に向上させています。 +- **[DeepSeek](https://Mr.🆖 AI.com/discover/provider/deepseek)**: DeepSeek は、人工知能技術の研究と応用に特化した企業であり、最新のモデル DeepSeek-V2.5 は、汎用対話とコード処理能力を融合させ、人間の好みの整合、ライティングタスク、指示の遵守などの面で顕著な向上を実現しています。 +- **[HuggingFace](https://Mr.🆖 AI.com/discover/provider/huggingface)**: HuggingFace Inference API は、数千のモデルをさまざまなタスクに対して探索するための迅速かつ無料の方法を提供します。新しいアプリケーションのプロトタイプを作成している場合でも、機械学習の機能を試している場合でも、この API は複数の分野の高性能モデルに即座にアクセスできるようにします。 +- **[OpenRouter](https://Mr.🆖 AI.com/discover/provider/openrouter)**: OpenRouter は、OpenAI、Anthropic、LLaMA などのさまざまな最先端の大規模モデルインターフェースを提供するサービスプラットフォームであり、多様な開発と応用のニーズに適しています。ユーザーは、自身のニーズに応じて最適なモデルと価格を柔軟に選択し、AI 体験の向上を支援します。 +- **[Cloudflare Workers AI](https://Mr.🆖 AI.com/discover/provider/cloudflare)**: Cloudflare のグローバルネットワーク上で、サーバーレス GPU によって駆動される機械学習モデルを実行します。 +- **[GitHub](https://Mr.🆖 AI.com/discover/provider/github)**: GitHub モデルを使用することで、開発者は AI エンジニアになり、業界をリードする AI モデルを使って構築できます。
See more providers (+26) -- **[Novita](https://lobechat.com/discover/provider/novita)**: Novita AI は、さまざまな大規模言語モデルと AI 画像生成の API サービスを提供するプラットフォームであり、柔軟で信頼性が高く、コスト効率に優れています。Llama3、Mistral などの最新のオープンソースモデルをサポートし、生成的 AI アプリケーションの開発に向けた包括的でユーザーフレンドリーかつ自動スケーリングの API ソリューションを提供し、AI スタートアップの急成長を支援します。 -- **[Together AI](https://lobechat.com/discover/provider/togetherai)**: Together AI は、革新的な AI モデルを通じて先進的な性能を実現することに取り組んでおり、迅速なスケーリングサポートや直感的な展開プロセスを含む広範なカスタマイズ能力を提供し、企業のさまざまなニーズに応えています。 -- **[Fireworks AI](https://lobechat.com/discover/provider/fireworksai)**: Fireworks AI は、先進的な言語モデルサービスのリーダーであり、機能呼び出しと多モーダル処理に特化しています。最新のモデル Firefunction V2 は Llama-3 に基づいており、関数呼び出し、対話、指示の遵守に最適化されています。視覚言語モデル FireLLaVA-13B は、画像とテキストの混合入力をサポートしています。他の注目すべきモデルには、Llama シリーズや Mixtral シリーズがあり、高効率の多言語指示遵守と生成サポートを提供しています。 -- **[Groq](https://lobechat.com/discover/provider/groq)**: Groq の LPU 推論エンジンは、最新の独立した大規模言語モデル(LLM)ベンチマークテストで卓越したパフォーマンスを示し、その驚異的な速度と効率で AI ソリューションの基準を再定義しています。Groq は、即時推論速度の代表であり、クラウドベースの展開で良好なパフォーマンスを発揮しています。 -- **[Perplexity](https://lobechat.com/discover/provider/perplexity)**: Perplexity は、先進的な対話生成モデルの提供者であり、さまざまな Llama 3.1 モデルを提供し、オンラインおよびオフラインアプリケーションをサポートし、特に複雑な自然言語処理タスクに適しています。 -- **[Mistral](https://lobechat.com/discover/provider/mistral)**: Mistral は、先進的な汎用、専門、研究型モデルを提供し、複雑な推論、多言語タスク、コード生成などの分野で広く使用されています。機能呼び出しインターフェースを通じて、ユーザーはカスタム機能を統合し、特定のアプリケーションを実現できます。 -- **[Ai21Labs](https://lobechat.com/discover/provider/ai21)**: AI21 Labs は企業向けに基盤モデルと人工知能システムを構築し、生成的人工知能の生産への応用を加速します。 -- **[Upstage](https://lobechat.com/discover/provider/upstage)**: Upstage は、さまざまなビジネスニーズに応じた AI モデルの開発に特化しており、Solar LLM や文書 AI を含み、人造一般知能(AGI)の実現を目指しています。Chat API を通じてシンプルな対話エージェントを作成し、機能呼び出し、翻訳、埋め込み、特定分野のアプリケーションをサポートします。 -- **[xAI](https://lobechat.com/discover/provider/xai)**: xAI は、人類の科学的発見を加速するための人工知能を構築することに専念している企業です。私たちの使命は、宇宙に対する共通の理解を促進することです。 -- **[Qwen](https://lobechat.com/discover/provider/qwen)**: 通義千問は、アリババクラウドが独自に開発した超大規模言語モデルであり、強力な自然言語理解と生成能力を持っています。さまざまな質問に答えたり、文章を創作したり、意見を表現したり、コードを執筆したりすることができ、さまざまな分野で活躍しています。 -- **[Wenxin](https://lobechat.com/discover/provider/wenxin)**: 企業向けのワンストップ大規模モデルと AI ネイティブアプリケーションの開発およびサービスプラットフォームで、最も包括的で使いやすい生成的人工知能モデルの開発とアプリケーション開発の全プロセスツールチェーンを提供します。 -- **[Hunyuan](https://lobechat.com/discover/provider/hunyuan)**: テンセントが開発した大規模言語モデルであり、強力な中国語の創作能力、複雑な文脈における論理的推論能力、そして信頼性の高いタスク実行能力を備えています。 -- **[Spark](https://lobechat.com/discover/provider/spark)**: 科大訊飛星火大モデルは、多分野、多言語の強力な AI 能力を提供し、先進的な自然言語処理技術を利用して、スマートハードウェア、スマート医療、スマート金融などのさまざまな垂直シーンに適した革新的なアプリケーションを構築します。 -- **[ZhiPu](https://lobechat.com/discover/provider/zhipu)**: 智谱 AI は、多モーダルおよび言語モデルのオープンプラットフォームを提供し、テキスト処理、画像理解、プログラミング支援など、幅広い AI アプリケーションシーンをサポートしています。 -- **[01.AI](https://lobechat.com/discover/provider/zeroone)**: 01.AI は、AI 2.0 時代の人工知能技術に特化し、「人 + 人工知能」の革新と応用を推進し、超強力なモデルと先進的な AI 技術を用いて人類の生産性を向上させ、技術の力を実現します。 -- **[SenseNova](https://lobechat.com/discover/provider/sensenova)**: 商湯日日新は、商湯の強力な基盤支援に基づき、高効率で使いやすい全スタックの大規模モデルサービスを提供します。 -- **[Stepfun](https://lobechat.com/discover/provider/stepfun)**: 階級星辰大モデルは、業界をリードする多モーダルおよび複雑な推論能力を備え、超長文の理解と強力な自律的検索エンジン機能をサポートしています。 -- **[Moonshot](https://lobechat.com/discover/provider/moonshot)**: Moonshot は、北京月之暗面科技有限公司が提供するオープンプラットフォームであり、さまざまな自然言語処理モデルを提供し、コンテンツ創作、学術研究、スマート推薦、医療診断などの広範な応用分野を持ち、長文処理や複雑な生成タスクをサポートしています。 -- **[Baichuan](https://lobechat.com/discover/provider/baichuan)**: 百川智能は、人工知能大モデルの研究開発に特化した企業であり、そのモデルは国内の知識百科、長文処理、生成創作などの中国語タスクで卓越したパフォーマンスを示し、海外の主流モデルを超えています。百川智能は、業界をリードする多モーダル能力を持ち、複数の権威ある評価で優れたパフォーマンスを示しています。そのモデルには、Baichuan 4、Baichuan 3 Turbo、Baichuan 3 Turbo 128k などが含まれ、異なるアプリケーションシーンに最適化され、高コストパフォーマンスのソリューションを提供しています。 -- **[Minimax](https://lobechat.com/discover/provider/minimax)**: MiniMax は 2021 年に設立された汎用人工知能テクノロジー企業であり、ユーザーと共に知能を共創することに取り組んでいます。MiniMax は、さまざまなモードの汎用大モデルを独自に開発しており、トリリオンパラメータの MoE テキスト大モデル、音声大モデル、画像大モデルを含んでいます。また、海螺 AI などのアプリケーションも展開しています。 -- **[360 AI](https://lobechat.com/discover/provider/ai360)**: 360 AI は、360 社が提供する AI モデルとサービスプラットフォームであり、360GPT2 Pro、360GPT Pro、360GPT Turbo、360GPT Turbo Responsibility 8K など、さまざまな先進的な自然言語処理モデルを提供しています。これらのモデルは、大規模なパラメータと多モーダル能力を組み合わせており、テキスト生成、意味理解、対話システム、コード生成などの分野で広く使用されています。柔軟な価格戦略を通じて、360 AI は多様なユーザーのニーズに応え、開発者の統合をサポートし、スマートアプリケーションの革新と発展を促進します。 -- **[Taichu](https://lobechat.com/discover/provider/taichu)**: 中科院自動化研究所と武漢人工知能研究院が新世代の多モーダル大モデルを発表し、多輪問答、テキスト創作、画像生成、3D 理解、信号分析などの包括的な問答タスクをサポートし、より強力な認知、理解、創作能力を持ち、新しいインタラクティブな体験を提供します。 -- **[InternLM](https://lobechat.com/discover/provider/internlm)**: 大規模モデルの研究と開発ツールチェーンに特化したオープンソース組織です。すべての AI 開発者に対して、高効率で使いやすいオープンプラットフォームを提供し、最先端の大規模モデルとアルゴリズム技術を身近に感じられるようにします。 -- **[SiliconCloud](https://lobechat.com/discover/provider/siliconcloud)**: SiliconFlow は、AGI を加速させ、人類に利益をもたらすことを目指し、使いやすくコスト効率の高い GenAI スタックを通じて大規模 AI の効率を向上させることに取り組んでいます。 -- **[Higress](https://lobechat.com/discover/provider/higress)**: Higress は、阿里内部で Tengine のリロードが長期接続のビジネスに悪影響を及ぼすことや、gRPC/Dubbo の負荷分散能力が不足している問題を解決するために生まれた、クラウドネイティブな API ゲートウェイです。 -- **[Gitee AI](https://lobechat.com/discover/provider/giteeai)**: Gitee AI の Serverless API は、AI 開発者に開梱即使用の大モデル推論 API サービスを提供する。 +- **[Novita](https://Mr.🆖 AI.com/discover/provider/novita)**: Novita AI は、さまざまな大規模言語モデルと AI 画像生成の API サービスを提供するプラットフォームであり、柔軟で信頼性が高く、コスト効率に優れています。Llama3、Mistral などの最新のオープンソースモデルをサポートし、生成的 AI アプリケーションの開発に向けた包括的でユーザーフレンドリーかつ自動スケーリングの API ソリューションを提供し、AI スタートアップの急成長を支援します。 +- **[Together AI](https://Mr.🆖 AI.com/discover/provider/togetherai)**: Together AI は、革新的な AI モデルを通じて先進的な性能を実現することに取り組んでおり、迅速なスケーリングサポートや直感的な展開プロセスを含む広範なカスタマイズ能力を提供し、企業のさまざまなニーズに応えています。 +- **[Fireworks AI](https://Mr.🆖 AI.com/discover/provider/fireworksai)**: Fireworks AI は、先進的な言語モデルサービスのリーダーであり、機能呼び出しと多モーダル処理に特化しています。最新のモデル Firefunction V2 は Llama-3 に基づいており、関数呼び出し、対話、指示の遵守に最適化されています。視覚言語モデル FireLLaVA-13B は、画像とテキストの混合入力をサポートしています。他の注目すべきモデルには、Llama シリーズや Mixtral シリーズがあり、高効率の多言語指示遵守と生成サポートを提供しています。 +- **[Groq](https://Mr.🆖 AI.com/discover/provider/groq)**: Groq の LPU 推論エンジンは、最新の独立した大規模言語モデル(LLM)ベンチマークテストで卓越したパフォーマンスを示し、その驚異的な速度と効率で AI ソリューションの基準を再定義しています。Groq は、即時推論速度の代表であり、クラウドベースの展開で良好なパフォーマンスを発揮しています。 +- **[Perplexity](https://Mr.🆖 AI.com/discover/provider/perplexity)**: Perplexity は、先進的な対話生成モデルの提供者であり、さまざまな Llama 3.1 モデルを提供し、オンラインおよびオフラインアプリケーションをサポートし、特に複雑な自然言語処理タスクに適しています。 +- **[Mistral](https://Mr.🆖 AI.com/discover/provider/mistral)**: Mistral は、先進的な汎用、専門、研究型モデルを提供し、複雑な推論、多言語タスク、コード生成などの分野で広く使用されています。機能呼び出しインターフェースを通じて、ユーザーはカスタム機能を統合し、特定のアプリケーションを実現できます。 +- **[Ai21Labs](https://Mr.🆖 AI.com/discover/provider/ai21)**: AI21 Labs は企業向けに基盤モデルと人工知能システムを構築し、生成的人工知能の生産への応用を加速します。 +- **[Upstage](https://Mr.🆖 AI.com/discover/provider/upstage)**: Upstage は、さまざまなビジネスニーズに応じた AI モデルの開発に特化しており、Solar LLM や文書 AI を含み、人造一般知能(AGI)の実現を目指しています。Chat API を通じてシンプルな対話エージェントを作成し、機能呼び出し、翻訳、埋め込み、特定分野のアプリケーションをサポートします。 +- **[xAI](https://Mr.🆖 AI.com/discover/provider/xai)**: xAI は、人類の科学的発見を加速するための人工知能を構築することに専念している企業です。私たちの使命は、宇宙に対する共通の理解を促進することです。 +- **[Qwen](https://Mr.🆖 AI.com/discover/provider/qwen)**: 通義千問は、アリババクラウドが独自に開発した超大規模言語モデルであり、強力な自然言語理解と生成能力を持っています。さまざまな質問に答えたり、文章を創作したり、意見を表現したり、コードを執筆したりすることができ、さまざまな分野で活躍しています。 +- **[Wenxin](https://Mr.🆖 AI.com/discover/provider/wenxin)**: 企業向けのワンストップ大規模モデルと AI ネイティブアプリケーションの開発およびサービスプラットフォームで、最も包括的で使いやすい生成的人工知能モデルの開発とアプリケーション開発の全プロセスツールチェーンを提供します。 +- **[Hunyuan](https://Mr.🆖 AI.com/discover/provider/hunyuan)**: テンセントが開発した大規模言語モデルであり、強力な中国語の創作能力、複雑な文脈における論理的推論能力、そして信頼性の高いタスク実行能力を備えています。 +- **[Spark](https://Mr.🆖 AI.com/discover/provider/spark)**: 科大訊飛星火大モデルは、多分野、多言語の強力な AI 能力を提供し、先進的な自然言語処理技術を利用して、スマートハードウェア、スマート医療、スマート金融などのさまざまな垂直シーンに適した革新的なアプリケーションを構築します。 +- **[ZhiPu](https://Mr.🆖 AI.com/discover/provider/zhipu)**: 智谱 AI は、多モーダルおよび言語モデルのオープンプラットフォームを提供し、テキスト処理、画像理解、プログラミング支援など、幅広い AI アプリケーションシーンをサポートしています。 +- **[01.AI](https://Mr.🆖 AI.com/discover/provider/zeroone)**: 01.AI は、AI 2.0 時代の人工知能技術に特化し、「人 + 人工知能」の革新と応用を推進し、超強力なモデルと先進的な AI 技術を用いて人類の生産性を向上させ、技術の力を実現します。 +- **[SenseNova](https://Mr.🆖 AI.com/discover/provider/sensenova)**: 商湯日日新は、商湯の強力な基盤支援に基づき、高効率で使いやすい全スタックの大規模モデルサービスを提供します。 +- **[Stepfun](https://Mr.🆖 AI.com/discover/provider/stepfun)**: 階級星辰大モデルは、業界をリードする多モーダルおよび複雑な推論能力を備え、超長文の理解と強力な自律的検索エンジン機能をサポートしています。 +- **[Moonshot](https://Mr.🆖 AI.com/discover/provider/moonshot)**: Moonshot は、北京月之暗面科技有限公司が提供するオープンプラットフォームであり、さまざまな自然言語処理モデルを提供し、コンテンツ創作、学術研究、スマート推薦、医療診断などの広範な応用分野を持ち、長文処理や複雑な生成タスクをサポートしています。 +- **[Baichuan](https://Mr.🆖 AI.com/discover/provider/baichuan)**: 百川智能は、人工知能大モデルの研究開発に特化した企業であり、そのモデルは国内の知識百科、長文処理、生成創作などの中国語タスクで卓越したパフォーマンスを示し、海外の主流モデルを超えています。百川智能は、業界をリードする多モーダル能力を持ち、複数の権威ある評価で優れたパフォーマンスを示しています。そのモデルには、Baichuan 4、Baichuan 3 Turbo、Baichuan 3 Turbo 128k などが含まれ、異なるアプリケーションシーンに最適化され、高コストパフォーマンスのソリューションを提供しています。 +- **[Minimax](https://Mr.🆖 AI.com/discover/provider/minimax)**: MiniMax は 2021 年に設立された汎用人工知能テクノロジー企業であり、ユーザーと共に知能を共創することに取り組んでいます。MiniMax は、さまざまなモードの汎用大モデルを独自に開発しており、トリリオンパラメータの MoE テキスト大モデル、音声大モデル、画像大モデルを含んでいます。また、海螺 AI などのアプリケーションも展開しています。 +- **[360 AI](https://Mr.🆖 AI.com/discover/provider/ai360)**: 360 AI は、360 社が提供する AI モデルとサービスプラットフォームであり、360GPT2 Pro、360GPT Pro、360GPT Turbo、360GPT Turbo Responsibility 8K など、さまざまな先進的な自然言語処理モデルを提供しています。これらのモデルは、大規模なパラメータと多モーダル能力を組み合わせており、テキスト生成、意味理解、対話システム、コード生成などの分野で広く使用されています。柔軟な価格戦略を通じて、360 AI は多様なユーザーのニーズに応え、開発者の統合をサポートし、スマートアプリケーションの革新と発展を促進します。 +- **[Taichu](https://Mr.🆖 AI.com/discover/provider/taichu)**: 中科院自動化研究所と武漢人工知能研究院が新世代の多モーダル大モデルを発表し、多輪問答、テキスト創作、画像生成、3D 理解、信号分析などの包括的な問答タスクをサポートし、より強力な認知、理解、創作能力を持ち、新しいインタラクティブな体験を提供します。 +- **[InternLM](https://Mr.🆖 AI.com/discover/provider/internlm)**: 大規模モデルの研究と開発ツールチェーンに特化したオープンソース組織です。すべての AI 開発者に対して、高効率で使いやすいオープンプラットフォームを提供し、最先端の大規模モデルとアルゴリズム技術を身近に感じられるようにします。 +- **[SiliconCloud](https://Mr.🆖 AI.com/discover/provider/siliconcloud)**: SiliconFlow は、AGI を加速させ、人類に利益をもたらすことを目指し、使いやすくコスト効率の高い GenAI スタックを通じて大規模 AI の効率を向上させることに取り組んでいます。 +- **[Higress](https://Mr.🆖 AI.com/discover/provider/higress)**: Higress は、阿里内部で Tengine のリロードが長期接続のビジネスに悪影響を及ぼすことや、gRPC/Dubbo の負荷分散能力が不足している問題を解決するために生まれた、クラウドネイティブな API ゲートウェイです。 +- **[Gitee AI](https://Mr.🆖 AI.com/discover/provider/giteeai)**: Gitee AI の Serverless API は、AI 開発者に開梱即使用の大モデル推論 API サービスを提供する。
-> 📊 Total providers: [**36**](https://lobechat.com/discover/providers) +> 📊 Total providers: [**36**](https://Mr.🆖 AI.com/discover/providers) -同時に、私たちはさらに多くのモデルサービスプロバイダーをサポートする計画を立てており、サービスプロバイダーのライブラリをさらに充実させる予定です。 LobeChat があなたのお気に入りのサービスプロバイダーをサポートすることを希望する場合は、[💬 コミュニティディスカッション](https://github.com/lobehub/lobe-chat/discussions/1284)に参加してください。 +同時に、私たちはさらに多くのモデルサービスプロバイダーをサポートする計画を立てており、サービスプロバイダーのライブラリをさらに充実させる予定です。 Mr.🆖 AI があなたのお気に入りのサービスプロバイダーをサポートすることを希望する場合は、[💬 コミュニティディスカッション](https://github.com/lobehub/lobe-chat/discussions/1284)に参加してください。
@@ -182,11 +182,11 @@ LobeChat の継続的な開発において、AI 会話サービスを提供す ### `2` [ローカル大規模言語モデル (LLM) のサポート][docs-feat-local] -特定のユーザーのニーズに応えるために、LobeChat は[Ollama](https://ollama.ai)に基づいてローカルモデルの使用をサポートしており、ユーザーが自分自身またはサードパーティのモデルを柔軟に使用できるようにしています。 +特定のユーザーのニーズに応えるために、Mr.🆖 AI は[Ollama](https://ollama.ai)に基づいてローカルモデルの使用をサポートしており、ユーザーが自分自身またはサードパーティのモデルを柔軟に使用できるようにしています。 > \[!TIP] > -> [📘 LobeChat での Ollama の使用][docs-usage-ollama]について詳しくはこちらをご覧ください。 +> [📘 Mr.🆖 AI での Ollama の使用][docs-usage-ollama]について詳しくはこちらをご覧ください。
@@ -198,7 +198,7 @@ LobeChat の継続的な開発において、AI 会話サービスを提供す ### `3` [モデルの視覚認識][docs-feat-vision] -LobeChat は、OpenAI の最新の視覚認識機能を備えた[`gpt-4-vision`](https://platform.openai.com/docs/guides/vision)モデルをサポートしています。 +Mr.🆖 AI は、OpenAI の最新の視覚認識機能を備えた[`gpt-4-vision`](https://platform.openai.com/docs/guides/vision)モデルをサポートしています。 これは視覚を認識できるマルチモーダルインテリジェンスです。ユーザーは簡単に画像をアップロードしたり、画像をドラッグアンドドロップして対話ボックスに入れることができ、 エージェントは画像の内容を認識し、これに基づいてインテリジェントな会話を行い、よりスマートで多様なチャットシナリオを作成します。 @@ -215,12 +215,12 @@ LobeChat は、OpenAI の最新の視覚認識機能を備えた[`gpt-4-vision`] ### `4` [TTS & STT 音声会話][docs-feat-tts] -LobeChat は、テキストから音声への変換(Text-to-Speech、TTS)および音声からテキストへの変換(Speech-to-Text、STT)技術をサポートしており、 +Mr.🆖 AI は、テキストから音声への変換(Text-to-Speech、TTS)および音声からテキストへの変換(Speech-to-Text、STT)技術をサポートしており、 テキストメッセージを明瞭な音声出力に変換し、ユーザーが実際の人と話しているかのように対話エージェントと対話できるようにします。 ユーザーは、エージェントに適した音声を選択することができます。 さらに、TTS は聴覚学習を好む人や忙しい中で情報を受け取りたい人にとって優れたソリューションを提供します。 -LobeChat では、異なる地域や文化的背景のユーザーのニーズに応えるために、さまざまな高品質の音声オプション(OpenAI Audio、Microsoft Edge Speech)を慎重に選択しました。 +Mr.🆖 AI では、異なる地域や文化的背景のユーザーのニーズに応えるために、さまざまな高品質の音声オプション(OpenAI Audio、Microsoft Edge Speech)を慎重に選択しました。 ユーザーは、個人の好みや特定のシナリオに応じて適切な音声を選択し、パーソナライズされたコミュニケーション体験を得ることができます。
@@ -233,7 +233,7 @@ LobeChat では、異なる地域や文化的背景のユーザーのニーズ ### `5` [テキストから画像生成][docs-feat-t2i] -最新のテキストから画像生成技術をサポートし、LobeChat はユーザーがエージェントとの対話中に直接画像作成ツールを呼び出すことができるようになりました。 +最新のテキストから画像生成技術をサポートし、Mr.🆖 AI はユーザーがエージェントとの対話中に直接画像作成ツールを呼び出すことができるようになりました。 [`DALL-E 3`](https://openai.com/dall-e-3)、[`MidJourney`](https://www.midjourney.com/)、[`Pollinations`](https://pollinations.ai/)などの AI ツールの能力を活用することで、 エージェントはあなたのアイデアを画像に変えることができます。 @@ -249,11 +249,11 @@ LobeChat では、異なる地域や文化的背景のユーザーのニーズ ### `6` [プラグインシステム (Function Calling)][docs-feat-plugin] -LobeChat のプラグインエコシステムは、そのコア機能の重要な拡張であり、LobeChat アシスタントの実用性と柔軟性を大幅に向上させます。 +Mr.🆖 AI のプラグインエコシステムは、そのコア機能の重要な拡張であり、Mr.🆖 AI アシスタントの実用性と柔軟性を大幅に向上させます。 -プラグインを利用することで、LobeChat アシスタントはリアルタイムの情報を取得して処理することができ、ウェブ情報を検索し、ユーザーに即時かつ関連性の高いニュースを提供することができます。 +プラグインを利用することで、Mr.🆖 AI アシスタントはリアルタイムの情報を取得して処理することができ、ウェブ情報を検索し、ユーザーに即時かつ関連性の高いニュースを提供することができます。 さらに、これらのプラグインはニュースの集約に限定されず、他の実用的な機能にも拡張できます。たとえば、ドキュメントの迅速な検索、画像の生成、Bilibili、Steam などのさまざまなプラットフォームからのデータの取得、さまざまなサードパーティサービスとの連携などです。 @@ -265,12 +265,12 @@ LobeChat のプラグインエコシステムは、そのコア機能の重要 | 最近追加 | 説明 | | ---------------------------------------------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------- | -| [MintbaseSearch](https://lobechat.com/discover/plugin/mintbasesearch)
By **mintbase** on **2024-12-31** | NEAR プロトコル上の任意の NFT データを見つける。
`暗号通貨` `nft` | -| [PortfolioMeta](https://lobechat.com/discover/plugin/StockData)
By **portfoliometa** on **2024-12-22** | 株を分析し、包括的なリアルタイムの投資データと分析を取得します。
`stock` | -| [Google CSE](https://lobechat.com/discover/plugin/google-cse)
By **vsnthdev** on **2024-12-02** | 公式の CSE API を通じて Google を検索します。
`ウェブ` `検索` | -| [話す](https://lobechat.com/discover/plugin/speak)
By **speak** on **2024-12-02** | Speak は、AI パワードの言語チューターで、他の言語で何でも言う方法を学ぶことができます。
`教育` `言語` | +| [MintbaseSearch](https://Mr.🆖 AI.com/discover/plugin/mintbasesearch)
By **mintbase** on **2024-12-31** | NEAR プロトコル上の任意の NFT データを見つける。
`暗号通貨` `nft` | +| [PortfolioMeta](https://Mr.🆖 AI.com/discover/plugin/StockData)
By **portfoliometa** on **2024-12-22** | 株を分析し、包括的なリアルタイムの投資データと分析を取得します。
`stock` | +| [Google CSE](https://Mr.🆖 AI.com/discover/plugin/google-cse)
By **vsnthdev** on **2024-12-02** | 公式の CSE API を通じて Google を検索します。
`ウェブ` `検索` | +| [話す](https://Mr.🆖 AI.com/discover/plugin/speak)
By **speak** on **2024-12-02** | Speak は、AI パワードの言語チューターで、他の言語で何でも言う方法を学ぶことができます。
`教育` `言語` | -> 📊 Total plugins: [**48**](https://lobechat.com/discover/plugins) +> 📊 Total plugins: [**48**](https://Mr.🆖 AI.com/discover/plugins) @@ -284,14 +284,14 @@ LobeChat のプラグインエコシステムは、そのコア機能の重要 ### `7` [エージェントマーケット (GPTs)][docs-feat-agent] -LobeChat エージェントマーケットプレイスでは、クリエイターが多くの優れたエージェントを発見できる活気に満ちた革新的なコミュニティを提供しています。 +Mr.🆖 AI エージェントマーケットプレイスでは、クリエイターが多くの優れたエージェントを発見できる活気に満ちた革新的なコミュニティを提供しています。 これらのエージェントは、仕事のシナリオで重要な役割を果たすだけでなく、学習プロセスでも大いに便利です。 私たちのマーケットプレイスは、単なるショーケースプラットフォームではなく、協力の場でもあります。ここでは、誰もが自分の知恵を貢献し、開発したエージェントを共有できます。 > \[!TIP] > > [🤖/🏪 エージェントを提出][submit-agents-link]することで、簡単にエージェント作品をプラットフォームに提出できます。 -> 重要なのは、LobeChat が高度な自動化国際化(i18n)ワークフローを確立しており、 +> 重要なのは、Mr.🆖 AI が高度な自動化国際化(i18n)ワークフローを確立しており、 > あなたのエージェントを複数の言語バージョンにシームレスに翻訳できることです。 > これにより、ユーザーがどの言語を話していても、エージェントを障害なく体験できます。 @@ -304,12 +304,12 @@ LobeChat エージェントマーケットプレイスでは、クリエイタ | 最近追加 | 説明 | | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------- | -| [システム指示の専門家](https://lobechat.com/discover/assistant/instructer)
By **[yuyun2000](https://github.com/yuyun2000)** on **2024-12-04** | 効率的なシステム指示を精練し生成することに長けています
`システム指示` `執筆` `詳細最適化` `ユーザーのニーズ` | -| [日本語記憶支援者](https://lobechat.com/discover/assistant/japan-language-helper)
By **[sharkbear212](https://github.com/sharkbear212)** on **2024-12-04** | 日本語の五十音、ひらがな、カタカナ、単語やフレーズの説明と記憶のテクニックに特化しています
`説明` `記憶テクニック` `日本語教育` | -| [詩詞カードデザイナー](https://lobechat.com/discover/assistant/poetry-card-designer)
By **[lianxin255](https://github.com/lianxin255)** on **2024-12-03** | 詩詞カードのデザインに優れ、芸術感と魅力を高めます
`詩詞カードデザイン` `カード` `クリエイティブ` `アート表現` | -| [日常医師](https://lobechat.com/discover/assistant/yunchat-docter)
By **[yuyun2000](https://github.com/yuyun2000)** on **2024-11-30** | 外科診療と個別化健康管理に優れています
`総合診療` `外科` `健康相談` `個別化治療` `医学教育` | +| [システム指示の専門家](https://Mr.🆖 AI.com/discover/assistant/instructer)
By **[yuyun2000](https://github.com/yuyun2000)** on **2024-12-04** | 効率的なシステム指示を精練し生成することに長けています
`システム指示` `執筆` `詳細最適化` `ユーザーのニーズ` | +| [日本語記憶支援者](https://Mr.🆖 AI.com/discover/assistant/japan-language-helper)
By **[sharkbear212](https://github.com/sharkbear212)** on **2024-12-04** | 日本語の五十音、ひらがな、カタカナ、単語やフレーズの説明と記憶のテクニックに特化しています
`説明` `記憶テクニック` `日本語教育` | +| [詩詞カードデザイナー](https://Mr.🆖 AI.com/discover/assistant/poetry-card-designer)
By **[lianxin255](https://github.com/lianxin255)** on **2024-12-03** | 詩詞カードのデザインに優れ、芸術感と魅力を高めます
`詩詞カードデザイン` `カード` `クリエイティブ` `アート表現` | +| [日常医師](https://Mr.🆖 AI.com/discover/assistant/yunchat-docter)
By **[yuyun2000](https://github.com/yuyun2000)** on **2024-11-30** | 外科診療と個別化健康管理に優れています
`総合診療` `外科` `健康相談` `個別化治療` `医学教育` | -> 📊 Total agents: [**453** ](https://lobechat.com/discover/assistants) +> 📊 Total agents: [**453** ](https://Mr.🆖 AI.com/discover/assistants) @@ -323,12 +323,12 @@ LobeChat エージェントマーケットプレイスでは、クリエイタ ### `8` [ローカル / リモートデータベースのサポート][docs-feat-database] -LobeChat は、サーバーサイドデータベースとローカルデータベースの両方の使用をサポートしています。ニーズに応じて、適切なデプロイメントソリューションを選択できます: +Mr.🆖 AI は、サーバーサイドデータベースとローカルデータベースの両方の使用をサポートしています。ニーズに応じて、適切なデプロイメントソリューションを選択できます: -- **ローカルデータベース**:データとプライバシー保護に対するより多くの制御を希望するユーザーに適しています。LobeChat は CRDT(Conflict-Free Replicated Data Type)技術を使用してマルチデバイス同期を実現しています。これはシームレスなデータ同期体験を提供することを目的とした実験的な機能です。 -- **サーバーサイドデータベース**:より便利なユーザー体験を希望するユーザーに適しています。LobeChat は PostgreSQL をサーバーサイドデータベースとしてサポートしています。サーバーサイドデータベースの設定方法についての詳細なドキュメントは、[サーバーサイドデータベースの設定](https://lobehub.com/docs/self-hosting/advanced/server-database)をご覧ください。 +- **ローカルデータベース**:データとプライバシー保護に対するより多くの制御を希望するユーザーに適しています。Mr.🆖 AI は CRDT(Conflict-Free Replicated Data Type)技術を使用してマルチデバイス同期を実現しています。これはシームレスなデータ同期体験を提供することを目的とした実験的な機能です。 +- **サーバーサイドデータベース**:より便利なユーザー体験を希望するユーザーに適しています。Mr.🆖 AI は PostgreSQL をサーバーサイドデータベースとしてサポートしています。サーバーサイドデータベースの設定方法についての詳細なドキュメントは、[サーバーサイドデータベースの設定](https://lobehub.com/docs/self-hosting/advanced/server-database)をご覧ください。 -どのデータベースを選択しても、LobeChat は優れたユーザー体験を提供します。 +どのデータベースを選択しても、Mr.🆖 AI は優れたユーザー体験を提供します。
@@ -340,13 +340,13 @@ LobeChat は、サーバーサイドデータベースとローカルデータ ### `9` [マルチユーザ管理のサポート][docs-feat-auth] -LobeChat はマルチユーザ管理をサポートし、異なるニーズに応じて 2 つの主要なユーザ認証および管理ソリューションを提供します: +Mr.🆖 AI はマルチユーザ管理をサポートし、異なるニーズに応じて 2 つの主要なユーザ認証および管理ソリューションを提供します: -- **next-auth**:LobeChat は、複数の認証方法(OAuth、メールログイン、資格情報ログインなど)をサポートする柔軟で強力な認証ライブラリである`next-auth`を統合しています。`next-auth`を使用すると、ユーザの登録、ログイン、セッション管理、ソーシャルログインなどの機能を簡単に実装し、ユーザデータのセキュリティとプライバシーを確保できます。 +- **next-auth**:Mr.🆖 AI は、複数の認証方法(OAuth、メールログイン、資格情報ログインなど)をサポートする柔軟で強力な認証ライブラリである`next-auth`を統合しています。`next-auth`を使用すると、ユーザの登録、ログイン、セッション管理、ソーシャルログインなどの機能を簡単に実装し、ユーザデータのセキュリティとプライバシーを確保できます。 -- **Clerk**:より高度なユーザ管理機能が必要なユーザ向けに、LobeChat は`Clerk`もサポートしています。`Clerk`は、現代的なユーザ管理プラットフォームであり、多要素認証(MFA)、ユーザプロファイル管理、ログイン活動の監視など、より豊富な機能を提供します。`Clerk`を使用すると、より高いセキュリティと柔軟性を得ることができ、複雑なユーザ管理ニーズに簡単に対応できます。 +- **Clerk**:より高度なユーザ管理機能が必要なユーザ向けに、Mr.🆖 AI は`Clerk`もサポートしています。`Clerk`は、現代的なユーザ管理プラットフォームであり、多要素認証(MFA)、ユーザプロファイル管理、ログイン活動の監視など、より豊富な機能を提供します。`Clerk`を使用すると、より高いセキュリティと柔軟性を得ることができ、複雑なユーザ管理ニーズに簡単に対応できます。 -どのユーザ管理ソリューションを選択しても、LobeChat は優れたユーザー体験と強力な機能サポートを提供します。 +どのユーザ管理ソリューションを選択しても、Mr.🆖 AI は優れたユーザー体験と強力な機能サポートを提供します。
@@ -362,16 +362,16 @@ LobeChat はマルチユーザ管理をサポートし、異なるニーズに そのため、プログレッシブウェブアプリケーション([PWA](https://support.google.com/chrome/answer/9658361))技術を採用しました。 これは、ウェブアプリケーションをネイティブアプリに近い体験に引き上げるモダンなウェブ技術です。 -PWA を通じて、LobeChat はデスクトップとモバイルデバイスの両方で高度に最適化されたユーザー体験を提供しながら、その軽量で高性能な特性を維持します。 +PWA を通じて、Mr.🆖 AI はデスクトップとモバイルデバイスの両方で高度に最適化されたユーザー体験を提供しながら、その軽量で高性能な特性を維持します。 視覚的および感覚的には、インターフェースを慎重に設計し、ネイティブアプリと区別がつかないようにし、 スムーズなアニメーション、レスポンシブレイアウト、および異なるデバイスの画面解像度に適応するようにしています。 > \[!NOTE] > -> PWA のインストールプロセスに慣れていない場合は、以下の手順に従って LobeChat をデスクトップアプリケーション(モバイルデバイスにも適用)として追加できます: +> PWA のインストールプロセスに慣れていない場合は、以下の手順に従って Mr.🆖 AI をデスクトップアプリケーション(モバイルデバイスにも適用)として追加できます: > > - コンピュータで Chrome または Edge ブラウザを起動します。 -> - LobeChat のウェブページにアクセスします。 +> - Mr.🆖 AI のウェブページにアクセスします。 > - アドレスバーの右上にあるインストールアイコンをクリックします。 > - 画面の指示に従って PWA のインストールを完了します。 @@ -397,10 +397,10 @@ PWA を通じて、LobeChat はデスクトップとモバイルデバイスの ### `12` [カスタムテーマ][docs-feat-theme] -デザインエンジニアリング指向のアプリケーションとして、LobeChat はユーザーの個別体験を重視しており、 +デザインエンジニアリング指向のアプリケーションとして、Mr.🆖 AI はユーザーの個別体験を重視しており、 柔軟で多様なテーマモードを導入しています。日中のライトモードと夜間のダークモードを含みます。 テーマモードの切り替えに加えて、さまざまな色のカスタマイズオプションを提供し、ユーザーが自分の好みに応じてアプリケーションのテーマカラーを調整できるようにしています。 -落ち着いたダークブルー、活気のあるピーチピンク、プロフェッショナルなグレーホワイトなど、LobeChat では自分のスタイルに合った色の選択肢を見つけることができます。 +落ち着いたダークブルー、活気のあるピーチピンク、プロフェッショナルなグレーホワイトなど、Mr.🆖 AI では自分のスタイルに合った色の選択肢を見つけることができます。 > \[!TIP] > @@ -415,7 +415,7 @@ PWA を通じて、LobeChat はデスクトップとモバイルデバイスの ### `*` その他の特徴 -これらの特徴に加えて、LobeChat は基本的な技術基盤も優れています: +これらの特徴に加えて、Mr.🆖 AI は基本的な技術基盤も優れています: - [x] 💨 **迅速なデプロイ**:Vercel プラットフォームまたは Docker イメージを使用して、ワンクリックでデプロイを行い、1 分以内にプロセスを完了できます。複雑な設定は不要です。 - [x] 🌐 **カスタムドメイン**:ユーザーが独自のドメインを持っている場合、プラットフォームにバインドして、どこからでも対話エージェントに迅速にアクセスできます。 @@ -423,7 +423,7 @@ PWA を通じて、LobeChat はデスクトップとモバイルデバイスの - [x] 💎 **洗練された UI デザイン**:慎重に設計されたインターフェースで、エレガントな外観とスムーズなインタラクションを提供します。ライトモードとダークモードをサポートし、モバイルフレンドリーです。PWA サポートにより、よりネイティブに近い体験を提供します。 - [x] 🗣️ **スムーズな会話体験**:流れるような応答により、スムーズな会話体験を提供します。Markdown レンダリングを完全にサポートし、コードのハイライト、LaTex の数式、Mermaid のフローチャートなどを含みます。 -> ✨ LobeChat の進化に伴い、さらに多くの機能が追加されます。 +> ✨ Mr.🆖 AI の進化に伴い、さらに多くの機能が追加されます。 --- @@ -456,11 +456,11 @@ PWA を通じて、LobeChat はデスクトップとモバイルデバイスの ## 🛳 自己ホスティング -LobeChat は、Vercel と[Docker イメージ][docker-release-link]を使用した自己ホスティングバージョンを提供しています。これにより、事前の知識がなくても数分で独自のチャットボットをデプロイできます。 +Mr.🆖 AI は、Vercel と[Docker イメージ][docker-release-link]を使用した自己ホスティングバージョンを提供しています。これにより、事前の知識がなくても数分で独自のチャットボットをデプロイできます。 > \[!TIP] > -> [📘 独自の LobeChat を構築する][docs-self-hosting]について詳しくはこちらをご覧ください。 +> [📘 独自の Mr.🆖 AI を構築する][docs-self-hosting]について詳しくはこちらをご覧ください。 ### `A` Vercel、Zeabur、Sealos でのデプロイ @@ -499,7 +499,7 @@ README のワンクリックデプロイ手順に従って独自のプロジェ [![][docker-size-shield]][docker-size-link] [![][docker-pulls-shield]][docker-pulls-link] -LobeChat サービスを独自のプライベートデバイスにデプロイするための Docker イメージを提供しています。以下のコマンドを使用して LobeChat サービスを開始します: +Mr.🆖 AI サービスを独自のプライベートデバイスにデプロイするための Docker イメージを提供しています。以下のコマンドを使用して Mr.🆖 AI サービスを開始します: ```fish $ docker run -d -p 3210:3210 \ @@ -566,12 +566,12 @@ $ docker run -d -p 3210:3210 \ ## 🧩 プラグイン -プラグインは、LobeChat の[関数呼び出し][docs-functionc-call]機能を拡張する手段を提供します。プラグインを使用して、新しい関数呼び出しやメッセージ結果の新しいレンダリング方法を導入することができます。プラグイン開発に興味がある方は、Wiki の[📘プラグイン開発ガイド][docs-plugin-dev]を参照してください。 +プラグインは、Mr.🆖 AI の[関数呼び出し][docs-functionc-call]機能を拡張する手段を提供します。プラグインを使用して、新しい関数呼び出しやメッセージ結果の新しいレンダリング方法を導入することができます。プラグイン開発に興味がある方は、Wiki の[📘プラグイン開発ガイド][docs-plugin-dev]を参照してください。 -- [lobe-chat-plugins][lobe-chat-plugins]: これは LobeChat のプラグインインデックスです。このリポジトリから index.json にアクセスし、LobeChat で利用可能なプラグインのリストをユーザに表示します。 -- [chat-plugin-template][chat-plugin-template]: これは LobeChat プラグイン開発用のプラグインテンプレートです。 -- [@lobehub/chat-plugin-sdk][chat-plugin-sdk]: LobeChat プラグイン SDK は、Lobe Chat 用の優れたチャットプラグインの作成を支援します。 -- [@lobehub/chat-plugins-gateway][chat-plugins-gateway]: LobeChat Plugins Gateway は、LobeChat プラグインのためのゲートウェイを提供するバックエンドサービスです。このサービスは Vercel を使用してデプロイされます。プライマリ API の POST /api/v1/runner は Edge Function としてデプロイされます。 +- [lobe-chat-plugins][lobe-chat-plugins]: これは Mr.🆖 AI のプラグインインデックスです。このリポジトリから index.json にアクセスし、Mr.🆖 AI で利用可能なプラグインのリストをユーザに表示します。 +- [chat-plugin-template][chat-plugin-template]: これは Mr.🆖 AI プラグイン開発用のプラグインテンプレートです。 +- [@lobehub/chat-plugin-sdk][chat-plugin-sdk]: Mr.🆖 AI プラグイン SDK は、Lobe Chat 用の優れたチャットプラグインの作成を支援します。 +- [@lobehub/chat-plugins-gateway][chat-plugins-gateway]: Mr.🆖 AI Plugins Gateway は、Mr.🆖 AI プラグインのためのゲートウェイを提供するバックエンドサービスです。このサービスは Vercel を使用してデプロイされます。プライマリ API の POST /api/v1/runner は Edge Function としてデプロイされます。 > \[!NOTE] > @@ -618,7 +618,7 @@ $ pnpm dev > > 私たちは技術主導のフォーラムを創設し、知識の交流とアイデアの交換を促進することで、相互のインスピレーションと協力的なイノベーションを生み出すことを目指しています。 > -> LobeChat の改善にご協力ください。製品設計のフィードバックやユーザー体験に関するディスカッションを直接お寄せください。 +> Mr.🆖 AI の改善にご協力ください。製品設計のフィードバックやユーザー体験に関するディスカッションを直接お寄せください。 > > **プリンシパルメンテナー:** [@arvinxx](https://github.com/arvinxx) [@canisminor1990](https://github.com/canisminor1990) @@ -821,17 +821,17 @@ This project is [Apache 2.0](./LICENSE) licensed. [profile-link]: https://github.com/lobehub [share-linkedin-link]: https://linkedin.com/feed [share-linkedin-shield]: https://img.shields.io/badge/-share%20on%20linkedin-black?labelColor=black&logo=linkedin&logoColor=white&style=flat-square -[share-mastodon-link]: https://mastodon.social/share?text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20LobeChat%20-%20An%20open-source,%20extensible%20(Function%20Calling),%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT/LLM%20web%20application.%20https://github.com/lobehub/lobe-chat%20#chatbot%20#chatGPT%20#openAI +[share-mastodon-link]: https://mastodon.social/share?text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20An%20open-source,%20extensible%20(Function%20Calling),%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT/LLM%20web%20application.%20https://github.com/lobehub/lobe-chat%20#chatbot%20#chatGPT%20#openAI [share-mastodon-shield]: https://img.shields.io/badge/-share%20on%20mastodon-black?labelColor=black&logo=mastodon&logoColor=white&style=flat-square -[share-reddit-link]: https://www.reddit.com/submit?title=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20LobeChat%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat +[share-reddit-link]: https://www.reddit.com/submit?title=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat [share-reddit-shield]: https://img.shields.io/badge/-share%20on%20reddit-black?labelColor=black&logo=reddit&logoColor=white&style=flat-square -[share-telegram-link]: https://t.me/share/url"?text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20LobeChat%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat +[share-telegram-link]: https://t.me/share/url"?text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat [share-telegram-shield]: https://img.shields.io/badge/-share%20on%20telegram-black?labelColor=black&logo=telegram&logoColor=white&style=flat-square -[share-weibo-link]: http://service.weibo.com/share/share.php?sharesource=weibo&title=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20LobeChat%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat +[share-weibo-link]: http://service.weibo.com/share/share.php?sharesource=weibo&title=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat [share-weibo-shield]: https://img.shields.io/badge/-share%20on%20weibo-black?labelColor=black&logo=sinaweibo&logoColor=white&style=flat-square -[share-whatsapp-link]: https://api.whatsapp.com/send?text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20LobeChat%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.%20https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat%20%23chatbot%20%23chatGPT%20%23openAI +[share-whatsapp-link]: https://api.whatsapp.com/send?text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.%20https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat%20%23chatbot%20%23chatGPT%20%23openAI [share-whatsapp-shield]: https://img.shields.io/badge/-share%20on%20whatsapp-black?labelColor=black&logo=whatsapp&logoColor=white&style=flat-square -[share-x-link]: https://x.com/intent/tweet?hashtags=chatbot%2CchatGPT%2CopenAI&text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20LobeChat%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat +[share-x-link]: https://x.com/intent/tweet?hashtags=chatbot%2CchatGPT%2CopenAI&text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat [share-x-shield]: https://img.shields.io/badge/-share%20on%20x-black?labelColor=black&logo=x&logoColor=white&style=flat-square [sponsor-link]: https://opencollective.com/lobehub 'Become ❤️ LobeHub Sponsor' [sponsor-shield]: https://img.shields.io/badge/-Sponsor%20LobeHub-f04f88?logo=opencollective&logoColor=white&style=flat-square @@ -841,4 +841,4 @@ This project is [Apache 2.0](./LICENSE) licensed. [submit-plugin-shield]: https://img.shields.io/badge/🧩/🏪_submit_plugin-%E2%86%92-95f3d9?labelColor=black&style=for-the-badge [vercel-link]: https://chat-preview.lobehub.com [vercel-shield]: https://img.shields.io/badge/vercel-online-55b467?labelColor=black&logo=vercel&style=flat-square -[vercel-shield-badge]: https://img.shields.io/badge/TRY%20LOBECHAT-ONLINE-55b467?labelColor=black&logo=vercel&style=for-the-badge +[vercel-shield-badge]: https://img.shields.io/badge/TRY%20Mr.🆖 AI-ONLINE-55b467?labelColor=black&logo=vercel&style=for-the-badge diff --git a/README.md b/README.md index 08227c5e1c29..60c2efe52bc5 100644 --- a/README.md +++ b/README.md @@ -27,7 +27,7 @@ One-click **FREE** deployment of your private OpenAI ChatGPT/Claude/Gemini/Groq/ [![][github-license-shield]][github-license-link]
[![][sponsor-shield]][sponsor-link] -**Share LobeChat Repository** +**Share Mr.🆖 AI Repository** [![][share-x-shield]][share-x-link] [![][share-telegram-shield]][share-telegram-link] @@ -89,7 +89,7 @@ One-click **FREE** deployment of your private OpenAI ChatGPT/Claude/Gemini/Groq/ We are a group of e/acc design-engineers, hoping to provide modern design components and tools for AIGC. By adopting the Bootstrapping approach, we aim to provide developers and users with a more open, transparent, and user-friendly product ecosystem. -Whether for users or professional developers, LobeHub will be your AI Agent playground. Please be aware that LobeChat is currently under active development, and feedback is welcome for any [issues][issues-link] encountered. +Whether for users or professional developers, LobeHub will be your AI Agent playground. Please be aware that Mr.🆖 AI is currently under active development, and feedback is welcome for any [issues][issues-link] encountered. | [![][vercel-shield-badge]][vercel-link] | No installation or registration necessary! Visit our website to experience it firsthand. | | :---------------------------------------- | :----------------------------------------------------------------------------------------------------------------- | @@ -115,13 +115,13 @@ Whether for users or professional developers, LobeHub will be your AI Agent play ### `1` [File Upload/Knowledge Base][docs-feat-knowledgebase] -LobeChat supports file upload and knowledge base functionality. You can upload various types of files including documents, images, audio, and video, as well as create knowledge bases, making it convenient for users to manage and search for files. Additionally, you can utilize files and knowledge base features during conversations, enabling a richer dialogue experience. +Mr.🆖 AI supports file upload and knowledge base functionality. You can upload various types of files including documents, images, audio, and video, as well as create knowledge bases, making it convenient for users to manage and search for files. Additionally, you can utilize files and knowledge base features during conversations, enabling a richer dialogue experience. > \[!TIP] > -> Learn more on [📘 LobeChat Knowledge Base Launch — From Now On, Every Step Counts](https://lobehub.com/blog/knowledge-base) +> Learn more on [📘 Mr.🆖 AI Knowledge Base Launch — From Now On, Every Step Counts](https://lobehub.com/blog/knowledge-base)
@@ -133,9 +133,9 @@ LobeChat supports file upload and knowledge base functionality. You can upload v ### `2` [Multi-Model Service Provider Support][docs-feat-provider] -In the continuous development of LobeChat, we deeply understand the importance of diversity in model service providers for meeting the needs of the community when providing AI conversation services. Therefore, we have expanded our support to multiple model service providers, rather than being limited to a single one, in order to offer users a more diverse and rich selection of conversations. +In the continuous development of Mr.🆖 AI, we deeply understand the importance of diversity in model service providers for meeting the needs of the community when providing AI conversation services. Therefore, we have expanded our support to multiple model service providers, rather than being limited to a single one, in order to offer users a more diverse and rich selection of conversations. -In this way, LobeChat can more flexibly adapt to the needs of different users, while also providing developers with a wider range of choices. +In this way, Mr.🆖 AI can more flexibly adapt to the needs of different users, while also providing developers with a wider range of choices. #### Supported Model Service Providers @@ -143,53 +143,53 @@ We have implemented support for the following model service providers: -- **[Mr.🆖 AI Hub](https://lobechat.com/discover/provider/openai)**: OpenAI is a global leader in artificial intelligence research, with models like the GPT series pushing the frontiers of natural language processing. OpenAI is committed to transforming multiple industries through innovative and efficient AI solutions. Their products demonstrate significant performance and cost-effectiveness, widely used in research, business, and innovative applications. -- **[Ollama](https://lobechat.com/discover/provider/ollama)**: Ollama provides models that cover a wide range of fields, including code generation, mathematical operations, multilingual processing, and conversational interaction, catering to diverse enterprise-level and localized deployment needs. -- **[Anthropic](https://lobechat.com/discover/provider/anthropic)**: Anthropic is a company focused on AI research and development, offering a range of advanced language models such as Claude 3.5 Sonnet, Claude 3 Sonnet, Claude 3 Opus, and Claude 3 Haiku. These models achieve an ideal balance between intelligence, speed, and cost, suitable for various applications from enterprise workloads to rapid-response scenarios. Claude 3.5 Sonnet, as their latest model, has excelled in multiple evaluations while maintaining a high cost-performance ratio. -- **[Bedrock](https://lobechat.com/discover/provider/bedrock)**: Bedrock is a service provided by Amazon AWS, focusing on delivering advanced AI language and visual models for enterprises. Its model family includes Anthropic's Claude series, Meta's Llama 3.1 series, and more, offering a range of options from lightweight to high-performance, supporting tasks such as text generation, conversation, and image processing for businesses of varying scales and needs. -- **[Google](https://lobechat.com/discover/provider/google)**: Google's Gemini series represents its most advanced, versatile AI models, developed by Google DeepMind, designed for multimodal capabilities, supporting seamless understanding and processing of text, code, images, audio, and video. Suitable for various environments from data centers to mobile devices, it significantly enhances the efficiency and applicability of AI models. -- **[DeepSeek](https://lobechat.com/discover/provider/deepseek)**: DeepSeek is a company focused on AI technology research and application, with its latest model DeepSeek-V2.5 integrating general dialogue and code processing capabilities, achieving significant improvements in human preference alignment, writing tasks, and instruction following. -- **[HuggingFace](https://lobechat.com/discover/provider/huggingface)**: The HuggingFace Inference API provides a fast and free way for you to explore thousands of models for various tasks. Whether you are prototyping for a new application or experimenting with the capabilities of machine learning, this API gives you instant access to high-performance models across multiple domains. -- **[OpenRouter](https://lobechat.com/discover/provider/openrouter)**: OpenRouter is a service platform providing access to various cutting-edge large model interfaces, supporting OpenAI, Anthropic, LLaMA, and more, suitable for diverse development and application needs. Users can flexibly choose the optimal model and pricing based on their requirements, enhancing the AI experience. -- **[Cloudflare Workers AI](https://lobechat.com/discover/provider/cloudflare)**: Run serverless GPU-powered machine learning models on Cloudflare's global network. -- **[GitHub](https://lobechat.com/discover/provider/github)**: With GitHub Models, developers can become AI engineers and leverage the industry's leading AI models. +- **[Mr.🆖 AI Hub](https://Mr.🆖 AI.com/discover/provider/openai)**: OpenAI is a global leader in artificial intelligence research, with models like the GPT series pushing the frontiers of natural language processing. OpenAI is committed to transforming multiple industries through innovative and efficient AI solutions. Their products demonstrate significant performance and cost-effectiveness, widely used in research, business, and innovative applications. +- **[Ollama](https://Mr.🆖 AI.com/discover/provider/ollama)**: Ollama provides models that cover a wide range of fields, including code generation, mathematical operations, multilingual processing, and conversational interaction, catering to diverse enterprise-level and localized deployment needs. +- **[Anthropic](https://Mr.🆖 AI.com/discover/provider/anthropic)**: Anthropic is a company focused on AI research and development, offering a range of advanced language models such as Claude 3.5 Sonnet, Claude 3 Sonnet, Claude 3 Opus, and Claude 3 Haiku. These models achieve an ideal balance between intelligence, speed, and cost, suitable for various applications from enterprise workloads to rapid-response scenarios. Claude 3.5 Sonnet, as their latest model, has excelled in multiple evaluations while maintaining a high cost-performance ratio. +- **[Bedrock](https://Mr.🆖 AI.com/discover/provider/bedrock)**: Bedrock is a service provided by Amazon AWS, focusing on delivering advanced AI language and visual models for enterprises. Its model family includes Anthropic's Claude series, Meta's Llama 3.1 series, and more, offering a range of options from lightweight to high-performance, supporting tasks such as text generation, conversation, and image processing for businesses of varying scales and needs. +- **[Google](https://Mr.🆖 AI.com/discover/provider/google)**: Google's Gemini series represents its most advanced, versatile AI models, developed by Google DeepMind, designed for multimodal capabilities, supporting seamless understanding and processing of text, code, images, audio, and video. Suitable for various environments from data centers to mobile devices, it significantly enhances the efficiency and applicability of AI models. +- **[DeepSeek](https://Mr.🆖 AI.com/discover/provider/deepseek)**: DeepSeek is a company focused on AI technology research and application, with its latest model DeepSeek-V2.5 integrating general dialogue and code processing capabilities, achieving significant improvements in human preference alignment, writing tasks, and instruction following. +- **[HuggingFace](https://Mr.🆖 AI.com/discover/provider/huggingface)**: The HuggingFace Inference API provides a fast and free way for you to explore thousands of models for various tasks. Whether you are prototyping for a new application or experimenting with the capabilities of machine learning, this API gives you instant access to high-performance models across multiple domains. +- **[OpenRouter](https://Mr.🆖 AI.com/discover/provider/openrouter)**: OpenRouter is a service platform providing access to various cutting-edge large model interfaces, supporting OpenAI, Anthropic, LLaMA, and more, suitable for diverse development and application needs. Users can flexibly choose the optimal model and pricing based on their requirements, enhancing the AI experience. +- **[Cloudflare Workers AI](https://Mr.🆖 AI.com/discover/provider/cloudflare)**: Run serverless GPU-powered machine learning models on Cloudflare's global network. +- **[GitHub](https://Mr.🆖 AI.com/discover/provider/github)**: With GitHub Models, developers can become AI engineers and leverage the industry's leading AI models.
See more providers (+26) -- **[Novita](https://lobechat.com/discover/provider/novita)**: Novita AI is a platform providing a variety of large language models and AI image generation API services, flexible, reliable, and cost-effective. It supports the latest open-source models like Llama3 and Mistral, offering a comprehensive, user-friendly, and auto-scaling API solution for generative AI application development, suitable for the rapid growth of AI startups. -- **[Together AI](https://lobechat.com/discover/provider/togetherai)**: Together AI is dedicated to achieving leading performance through innovative AI models, offering extensive customization capabilities, including rapid scaling support and intuitive deployment processes to meet various enterprise needs. -- **[Fireworks AI](https://lobechat.com/discover/provider/fireworksai)**: Fireworks AI is a leading provider of advanced language model services, focusing on functional calling and multimodal processing. Its latest model, Firefunction V2, is based on Llama-3, optimized for function calling, conversation, and instruction following. The visual language model FireLLaVA-13B supports mixed input of images and text. Other notable models include the Llama series and Mixtral series, providing efficient multilingual instruction following and generation support. -- **[Groq](https://lobechat.com/discover/provider/groq)**: Groq's LPU inference engine has excelled in the latest independent large language model (LLM) benchmarks, redefining the standards for AI solutions with its remarkable speed and efficiency. Groq represents instant inference speed, demonstrating strong performance in cloud-based deployments. -- **[Perplexity](https://lobechat.com/discover/provider/perplexity)**: Perplexity is a leading provider of conversational generation models, offering various advanced Llama 3.1 models that support both online and offline applications, particularly suited for complex natural language processing tasks. -- **[Mistral](https://lobechat.com/discover/provider/mistral)**: Mistral provides advanced general, specialized, and research models widely used in complex reasoning, multilingual tasks, and code generation. Through functional calling interfaces, users can integrate custom functionalities for specific applications. -- **[Ai21Labs](https://lobechat.com/discover/provider/ai21)**: AI21 Labs builds foundational models and AI systems for enterprises, accelerating the application of generative AI in production. -- **[Upstage](https://lobechat.com/discover/provider/upstage)**: Upstage focuses on developing AI models for various business needs, including Solar LLM and document AI, aiming to achieve artificial general intelligence (AGI) for work. It allows for the creation of simple conversational agents through Chat API and supports functional calling, translation, embedding, and domain-specific applications. -- **[xAI](https://lobechat.com/discover/provider/xai)**: xAI is a company dedicated to building artificial intelligence to accelerate human scientific discovery. Our mission is to advance our collective understanding of the universe. -- **[Qwen](https://lobechat.com/discover/provider/qwen)**: Tongyi Qianwen is a large-scale language model independently developed by Alibaba Cloud, featuring strong natural language understanding and generation capabilities. It can answer various questions, create written content, express opinions, and write code, playing a role in multiple fields. -- **[Wenxin](https://lobechat.com/discover/provider/wenxin)**: An enterprise-level one-stop platform for large model and AI-native application development and services, providing the most comprehensive and user-friendly toolchain for the entire process of generative artificial intelligence model development and application development. -- **[Hunyuan](https://lobechat.com/discover/provider/hunyuan)**: A large language model developed by Tencent, equipped with powerful Chinese creative capabilities, logical reasoning abilities in complex contexts, and reliable task execution skills. -- **[Spark](https://lobechat.com/discover/provider/spark)**: iFlytek's Spark model provides powerful AI capabilities across multiple domains and languages, utilizing advanced natural language processing technology to build innovative applications suitable for smart hardware, smart healthcare, smart finance, and other vertical scenarios. -- **[ZhiPu](https://lobechat.com/discover/provider/zhipu)**: Zhipu AI offers an open platform for multimodal and language models, supporting a wide range of AI application scenarios, including text processing, image understanding, and programming assistance. -- **[01.AI](https://lobechat.com/discover/provider/zeroone)**: 01.AI focuses on AI 2.0 era technologies, vigorously promoting the innovation and application of 'human + artificial intelligence', using powerful models and advanced AI technologies to enhance human productivity and achieve technological empowerment. -- **[SenseNova](https://lobechat.com/discover/provider/sensenova)**: SenseNova, backed by SenseTime's robust infrastructure, offers efficient and user-friendly full-stack large model services. -- **[Stepfun](https://lobechat.com/discover/provider/stepfun)**: StepFun's large model possesses industry-leading multimodal and complex reasoning capabilities, supporting ultra-long text understanding and powerful autonomous scheduling search engine functions. -- **[Moonshot](https://lobechat.com/discover/provider/moonshot)**: Moonshot is an open-source platform launched by Beijing Dark Side Technology Co., Ltd., providing various natural language processing models with a wide range of applications, including but not limited to content creation, academic research, intelligent recommendations, and medical diagnosis, supporting long text processing and complex generation tasks. -- **[Baichuan](https://lobechat.com/discover/provider/baichuan)**: Baichuan Intelligence is a company focused on the research and development of large AI models, with its models excelling in domestic knowledge encyclopedias, long text processing, and generative creation tasks in Chinese, surpassing mainstream foreign models. Baichuan Intelligence also possesses industry-leading multimodal capabilities, performing excellently in multiple authoritative evaluations. Its models include Baichuan 4, Baichuan 3 Turbo, and Baichuan 3 Turbo 128k, each optimized for different application scenarios, providing cost-effective solutions. -- **[Minimax](https://lobechat.com/discover/provider/minimax)**: MiniMax is a general artificial intelligence technology company established in 2021, dedicated to co-creating intelligence with users. MiniMax has independently developed general large models of different modalities, including trillion-parameter MoE text models, voice models, and image models, and has launched applications such as Conch AI. -- **[360 AI](https://lobechat.com/discover/provider/ai360)**: 360 AI is an AI model and service platform launched by 360 Company, offering various advanced natural language processing models, including 360GPT2 Pro, 360GPT Pro, 360GPT Turbo, and 360GPT Turbo Responsibility 8K. These models combine large-scale parameters and multimodal capabilities, widely applied in text generation, semantic understanding, dialogue systems, and code generation. With flexible pricing strategies, 360 AI meets diverse user needs, supports developer integration, and promotes the innovation and development of intelligent applications. -- **[Taichu](https://lobechat.com/discover/provider/taichu)**: The Institute of Automation, Chinese Academy of Sciences, and Wuhan Artificial Intelligence Research Institute have launched a new generation of multimodal large models, supporting comprehensive question-answering tasks such as multi-turn Q\&A, text creation, image generation, 3D understanding, and signal analysis, with stronger cognitive, understanding, and creative abilities, providing a new interactive experience. -- **[InternLM](https://lobechat.com/discover/provider/internlm)**: An open-source organization dedicated to the research and development of large model toolchains. It provides an efficient and user-friendly open-source platform for all AI developers, making cutting-edge large models and algorithm technologies easily accessible. -- **[SiliconCloud](https://lobechat.com/discover/provider/siliconcloud)**: SiliconFlow is dedicated to accelerating AGI for the benefit of humanity, enhancing large-scale AI efficiency through an easy-to-use and cost-effective GenAI stack. -- **[Higress](https://lobechat.com/discover/provider/higress)**: Higress is a cloud-native API gateway that was developed internally at Alibaba to address the issues of Tengine reload affecting long-lived connections and the insufficient load balancing capabilities for gRPC/Dubbo. -- **[Gitee AI](https://lobechat.com/discover/provider/giteeai)**: Gitee AI's Serverless API provides AI developers with an out of the box large model inference API service. +- **[Novita](https://Mr.🆖 AI.com/discover/provider/novita)**: Novita AI is a platform providing a variety of large language models and AI image generation API services, flexible, reliable, and cost-effective. It supports the latest open-source models like Llama3 and Mistral, offering a comprehensive, user-friendly, and auto-scaling API solution for generative AI application development, suitable for the rapid growth of AI startups. +- **[Together AI](https://Mr.🆖 AI.com/discover/provider/togetherai)**: Together AI is dedicated to achieving leading performance through innovative AI models, offering extensive customization capabilities, including rapid scaling support and intuitive deployment processes to meet various enterprise needs. +- **[Fireworks AI](https://Mr.🆖 AI.com/discover/provider/fireworksai)**: Fireworks AI is a leading provider of advanced language model services, focusing on functional calling and multimodal processing. Its latest model, Firefunction V2, is based on Llama-3, optimized for function calling, conversation, and instruction following. The visual language model FireLLaVA-13B supports mixed input of images and text. Other notable models include the Llama series and Mixtral series, providing efficient multilingual instruction following and generation support. +- **[Groq](https://Mr.🆖 AI.com/discover/provider/groq)**: Groq's LPU inference engine has excelled in the latest independent large language model (LLM) benchmarks, redefining the standards for AI solutions with its remarkable speed and efficiency. Groq represents instant inference speed, demonstrating strong performance in cloud-based deployments. +- **[Perplexity](https://Mr.🆖 AI.com/discover/provider/perplexity)**: Perplexity is a leading provider of conversational generation models, offering various advanced Llama 3.1 models that support both online and offline applications, particularly suited for complex natural language processing tasks. +- **[Mistral](https://Mr.🆖 AI.com/discover/provider/mistral)**: Mistral provides advanced general, specialized, and research models widely used in complex reasoning, multilingual tasks, and code generation. Through functional calling interfaces, users can integrate custom functionalities for specific applications. +- **[Ai21Labs](https://Mr.🆖 AI.com/discover/provider/ai21)**: AI21 Labs builds foundational models and AI systems for enterprises, accelerating the application of generative AI in production. +- **[Upstage](https://Mr.🆖 AI.com/discover/provider/upstage)**: Upstage focuses on developing AI models for various business needs, including Solar LLM and document AI, aiming to achieve artificial general intelligence (AGI) for work. It allows for the creation of simple conversational agents through Chat API and supports functional calling, translation, embedding, and domain-specific applications. +- **[xAI](https://Mr.🆖 AI.com/discover/provider/xai)**: xAI is a company dedicated to building artificial intelligence to accelerate human scientific discovery. Our mission is to advance our collective understanding of the universe. +- **[Qwen](https://Mr.🆖 AI.com/discover/provider/qwen)**: Tongyi Qianwen is a large-scale language model independently developed by Alibaba Cloud, featuring strong natural language understanding and generation capabilities. It can answer various questions, create written content, express opinions, and write code, playing a role in multiple fields. +- **[Wenxin](https://Mr.🆖 AI.com/discover/provider/wenxin)**: An enterprise-level one-stop platform for large model and AI-native application development and services, providing the most comprehensive and user-friendly toolchain for the entire process of generative artificial intelligence model development and application development. +- **[Hunyuan](https://Mr.🆖 AI.com/discover/provider/hunyuan)**: A large language model developed by Tencent, equipped with powerful Chinese creative capabilities, logical reasoning abilities in complex contexts, and reliable task execution skills. +- **[Spark](https://Mr.🆖 AI.com/discover/provider/spark)**: iFlytek's Spark model provides powerful AI capabilities across multiple domains and languages, utilizing advanced natural language processing technology to build innovative applications suitable for smart hardware, smart healthcare, smart finance, and other vertical scenarios. +- **[ZhiPu](https://Mr.🆖 AI.com/discover/provider/zhipu)**: Zhipu AI offers an open platform for multimodal and language models, supporting a wide range of AI application scenarios, including text processing, image understanding, and programming assistance. +- **[01.AI](https://Mr.🆖 AI.com/discover/provider/zeroone)**: 01.AI focuses on AI 2.0 era technologies, vigorously promoting the innovation and application of 'human + artificial intelligence', using powerful models and advanced AI technologies to enhance human productivity and achieve technological empowerment. +- **[SenseNova](https://Mr.🆖 AI.com/discover/provider/sensenova)**: SenseNova, backed by SenseTime's robust infrastructure, offers efficient and user-friendly full-stack large model services. +- **[Stepfun](https://Mr.🆖 AI.com/discover/provider/stepfun)**: StepFun's large model possesses industry-leading multimodal and complex reasoning capabilities, supporting ultra-long text understanding and powerful autonomous scheduling search engine functions. +- **[Moonshot](https://Mr.🆖 AI.com/discover/provider/moonshot)**: Moonshot is an open-source platform launched by Beijing Dark Side Technology Co., Ltd., providing various natural language processing models with a wide range of applications, including but not limited to content creation, academic research, intelligent recommendations, and medical diagnosis, supporting long text processing and complex generation tasks. +- **[Baichuan](https://Mr.🆖 AI.com/discover/provider/baichuan)**: Baichuan Intelligence is a company focused on the research and development of large AI models, with its models excelling in domestic knowledge encyclopedias, long text processing, and generative creation tasks in Chinese, surpassing mainstream foreign models. Baichuan Intelligence also possesses industry-leading multimodal capabilities, performing excellently in multiple authoritative evaluations. Its models include Baichuan 4, Baichuan 3 Turbo, and Baichuan 3 Turbo 128k, each optimized for different application scenarios, providing cost-effective solutions. +- **[Minimax](https://Mr.🆖 AI.com/discover/provider/minimax)**: MiniMax is a general artificial intelligence technology company established in 2021, dedicated to co-creating intelligence with users. MiniMax has independently developed general large models of different modalities, including trillion-parameter MoE text models, voice models, and image models, and has launched applications such as Conch AI. +- **[360 AI](https://Mr.🆖 AI.com/discover/provider/ai360)**: 360 AI is an AI model and service platform launched by 360 Company, offering various advanced natural language processing models, including 360GPT2 Pro, 360GPT Pro, 360GPT Turbo, and 360GPT Turbo Responsibility 8K. These models combine large-scale parameters and multimodal capabilities, widely applied in text generation, semantic understanding, dialogue systems, and code generation. With flexible pricing strategies, 360 AI meets diverse user needs, supports developer integration, and promotes the innovation and development of intelligent applications. +- **[Taichu](https://Mr.🆖 AI.com/discover/provider/taichu)**: The Institute of Automation, Chinese Academy of Sciences, and Wuhan Artificial Intelligence Research Institute have launched a new generation of multimodal large models, supporting comprehensive question-answering tasks such as multi-turn Q\&A, text creation, image generation, 3D understanding, and signal analysis, with stronger cognitive, understanding, and creative abilities, providing a new interactive experience. +- **[InternLM](https://Mr.🆖 AI.com/discover/provider/internlm)**: An open-source organization dedicated to the research and development of large model toolchains. It provides an efficient and user-friendly open-source platform for all AI developers, making cutting-edge large models and algorithm technologies easily accessible. +- **[SiliconCloud](https://Mr.🆖 AI.com/discover/provider/siliconcloud)**: SiliconFlow is dedicated to accelerating AGI for the benefit of humanity, enhancing large-scale AI efficiency through an easy-to-use and cost-effective GenAI stack. +- **[Higress](https://Mr.🆖 AI.com/discover/provider/higress)**: Higress is a cloud-native API gateway that was developed internally at Alibaba to address the issues of Tengine reload affecting long-lived connections and the insufficient load balancing capabilities for gRPC/Dubbo. +- **[Gitee AI](https://Mr.🆖 AI.com/discover/provider/giteeai)**: Gitee AI's Serverless API provides AI developers with an out of the box large model inference API service.
-> 📊 Total providers: [**36**](https://lobechat.com/discover/providers) +> 📊 Total providers: [**36**](https://Mr.🆖 AI.com/discover/providers) -At the same time, we are also planning to support more model service providers. If you would like LobeChat to support your favorite service provider, feel free to join our [💬 community discussion](https://github.com/lobehub/lobe-chat/discussions/1284). +At the same time, we are also planning to support more model service providers. If you would like Mr.🆖 AI to support your favorite service provider, feel free to join our [💬 community discussion](https://github.com/lobehub/lobe-chat/discussions/1284).
@@ -201,11 +201,11 @@ At the same time, we are also planning to support more model service providers. ### `3` [Local Large Language Model (LLM) Support][docs-feat-local] -To meet the specific needs of users, LobeChat also supports the use of local models based on [Ollama](https://ollama.ai), allowing users to flexibly use their own or third-party models. +To meet the specific needs of users, Mr.🆖 AI also supports the use of local models based on [Ollama](https://ollama.ai), allowing users to flexibly use their own or third-party models. > \[!TIP] > -> Learn more about [📘 Using Ollama in LobeChat][docs-usage-ollama] by checking it out. +> Learn more about [📘 Using Ollama in Mr.🆖 AI][docs-usage-ollama] by checking it out.
@@ -217,7 +217,7 @@ To meet the specific needs of users, LobeChat also supports the use of local mod ### `4` [Model Visual Recognition][docs-feat-vision] -LobeChat now supports OpenAI's latest [`gpt-4-vision`](https://platform.openai.com/docs/guides/vision) model with visual recognition capabilities, +Mr.🆖 AI now supports OpenAI's latest [`gpt-4-vision`](https://platform.openai.com/docs/guides/vision) model with visual recognition capabilities, a multimodal intelligence that can perceive visuals. Users can easily upload or drag and drop images into the dialogue box, and the agent will be able to recognize the content of the images and engage in intelligent conversation based on this, creating smarter and more diversified chat scenarios. @@ -235,11 +235,11 @@ Whether it's sharing images in daily use or interpreting images within specific ### `5` [TTS & STT Voice Conversation][docs-feat-tts] -LobeChat supports Text-to-Speech (TTS) and Speech-to-Text (STT) technologies, enabling our application to convert text messages into clear voice outputs, +Mr.🆖 AI supports Text-to-Speech (TTS) and Speech-to-Text (STT) technologies, enabling our application to convert text messages into clear voice outputs, allowing users to interact with our conversational agent as if they were talking to a real person. Users can choose from a variety of voices to pair with the agent. Moreover, TTS offers an excellent solution for those who prefer auditory learning or desire to receive information while busy. -In LobeChat, we have meticulously selected a range of high-quality voice options (OpenAI Audio, Microsoft Edge Speech) to meet the needs of users from different regions and cultural backgrounds. +In Mr.🆖 AI, we have meticulously selected a range of high-quality voice options (OpenAI Audio, Microsoft Edge Speech) to meet the needs of users from different regions and cultural backgrounds. Users can choose the voice that suits their personal preferences or specific scenarios, resulting in a personalized communication experience.
@@ -252,7 +252,7 @@ Users can choose the voice that suits their personal preferences or specific sce ### `6` [Text to Image Generation][docs-feat-t2i] -With support for the latest text-to-image generation technology, LobeChat now allows users to invoke image creation tools directly within conversations with the agent. By leveraging the capabilities of AI tools such as [`DALL-E 3`](https://openai.com/dall-e-3), [`MidJourney`](https://www.midjourney.com/), and [`Pollinations`](https://pollinations.ai/), the agents are now equipped to transform your ideas into images. +With support for the latest text-to-image generation technology, Mr.🆖 AI now allows users to invoke image creation tools directly within conversations with the agent. By leveraging the capabilities of AI tools such as [`DALL-E 3`](https://openai.com/dall-e-3), [`MidJourney`](https://www.midjourney.com/), and [`Pollinations`](https://pollinations.ai/), the agents are now equipped to transform your ideas into images. This enables a more private and immersive creative process, allowing for the seamless integration of visual storytelling into your personal dialogue with the agent. @@ -266,11 +266,11 @@ This enables a more private and immersive creative process, allowing for the sea ### `7` [Plugin System (Function Calling)][docs-feat-plugin] -The plugin ecosystem of LobeChat is an important extension of its core functionality, greatly enhancing the practicality and flexibility of the LobeChat assistant. +The plugin ecosystem of Mr.🆖 AI is an important extension of its core functionality, greatly enhancing the practicality and flexibility of the Mr.🆖 AI assistant. -By utilizing plugins, LobeChat assistants can obtain and process real-time information, such as searching for web information and providing users with instant and relevant news. +By utilizing plugins, Mr.🆖 AI assistants can obtain and process real-time information, such as searching for web information and providing users with instant and relevant news. In addition, these plugins are not limited to news aggregation, but can also extend to other practical functions, such as quickly searching documents, generating images, obtaining data from various platforms like Bilibili, Steam, and interacting with various third-party services. @@ -282,12 +282,12 @@ In addition, these plugins are not limited to news aggregation, but can also ext | Recent Submits | Description | | ---------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------- | -| [MintbaseSearch](https://lobechat.com/discover/plugin/mintbasesearch)
By **mintbase** on **2024-12-31** | Find any NFT data on the NEAR Protocol.
`crypto` `nft` | -| [PortfolioMeta](https://lobechat.com/discover/plugin/StockData)
By **portfoliometa** on **2024-12-22** | Analyze stocks and get comprehensive real-time investment data and analytics.
`stock` | -| [Google CSE](https://lobechat.com/discover/plugin/google-cse)
By **vsnthdev** on **2024-12-02** | Searches Google through their official CSE API.
`web` `search` | -| [Speak](https://lobechat.com/discover/plugin/speak)
By **speak** on **2024-12-02** | Learn how to say anything in another language with Speak, your AI-powered language tutor.
`education` `language` | +| [MintbaseSearch](https://Mr.🆖 AI.com/discover/plugin/mintbasesearch)
By **mintbase** on **2024-12-31** | Find any NFT data on the NEAR Protocol.
`crypto` `nft` | +| [PortfolioMeta](https://Mr.🆖 AI.com/discover/plugin/StockData)
By **portfoliometa** on **2024-12-22** | Analyze stocks and get comprehensive real-time investment data and analytics.
`stock` | +| [Google CSE](https://Mr.🆖 AI.com/discover/plugin/google-cse)
By **vsnthdev** on **2024-12-02** | Searches Google through their official CSE API.
`web` `search` | +| [Speak](https://Mr.🆖 AI.com/discover/plugin/speak)
By **speak** on **2024-12-02** | Learn how to say anything in another language with Speak, your AI-powered language tutor.
`education` `language` | -> 📊 Total plugins: [**48**](https://lobechat.com/discover/plugins) +> 📊 Total plugins: [**48**](https://Mr.🆖 AI.com/discover/plugins) @@ -301,14 +301,14 @@ In addition, these plugins are not limited to news aggregation, but can also ext ### `8` [Agent Market (GPTs)][docs-feat-agent] -In LobeChat Agent Marketplace, creators can discover a vibrant and innovative community that brings together a multitude of well-designed agents, +In Mr.🆖 AI Agent Marketplace, creators can discover a vibrant and innovative community that brings together a multitude of well-designed agents, which not only play an important role in work scenarios but also offer great convenience in learning processes. Our marketplace is not just a showcase platform but also a collaborative space. Here, everyone can contribute their wisdom and share the agents they have developed. > \[!TIP] > > By [🤖/🏪 Submit Agents][submit-agents-link], you can easily submit your agent creations to our platform. -> Importantly, LobeChat has established a sophisticated automated internationalization (i18n) workflow, +> Importantly, Mr.🆖 AI has established a sophisticated automated internationalization (i18n) workflow, > capable of seamlessly translating your agent into multiple language versions. > This means that no matter what language your users speak, they can experience your agent without barriers. @@ -321,12 +321,12 @@ Our marketplace is not just a showcase platform but also a collaborative space. | Recent Submits | Description | | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | -| [System Instruction Expert](https://lobechat.com/discover/assistant/instructer)
By **[yuyun2000](https://github.com/yuyun2000)** on **2024-12-04** | Skilled in refining and generating efficient system instructions
`system-instructions` `writing` `detail-optimization` `user-needs` | -| [Japanese Memory Helper](https://lobechat.com/discover/assistant/japan-language-helper)
By **[sharkbear212](https://github.com/sharkbear212)** on **2024-12-04** | Specializes in Japanese Hiragana, Katakana, vocabulary, and memory techniques for explanations and phrases
`explanation` `memory-techniques` `japanese-teaching` | -| [Poetry Card Designer](https://lobechat.com/discover/assistant/poetry-card-designer)
By **[lianxin255](https://github.com/lianxin255)** on **2024-12-03** | Skilled in designing poetry cards to enhance artistic sense and appeal
`poetry-card-design` `card` `creativity` `artistic-expression` | -| [Daily Doctor](https://lobechat.com/discover/assistant/yunchat-docter)
By **[yuyun2000](https://github.com/yuyun2000)** on **2024-11-30** | Specializes in surgical diagnosis and personalized health management
`general-medicine` `surgery` `health-consultation` `personalized-treatment` `medical-education` | +| [System Instruction Expert](https://Mr.🆖 AI.com/discover/assistant/instructer)
By **[yuyun2000](https://github.com/yuyun2000)** on **2024-12-04** | Skilled in refining and generating efficient system instructions
`system-instructions` `writing` `detail-optimization` `user-needs` | +| [Japanese Memory Helper](https://Mr.🆖 AI.com/discover/assistant/japan-language-helper)
By **[sharkbear212](https://github.com/sharkbear212)** on **2024-12-04** | Specializes in Japanese Hiragana, Katakana, vocabulary, and memory techniques for explanations and phrases
`explanation` `memory-techniques` `japanese-teaching` | +| [Poetry Card Designer](https://Mr.🆖 AI.com/discover/assistant/poetry-card-designer)
By **[lianxin255](https://github.com/lianxin255)** on **2024-12-03** | Skilled in designing poetry cards to enhance artistic sense and appeal
`poetry-card-design` `card` `creativity` `artistic-expression` | +| [Daily Doctor](https://Mr.🆖 AI.com/discover/assistant/yunchat-docter)
By **[yuyun2000](https://github.com/yuyun2000)** on **2024-11-30** | Specializes in surgical diagnosis and personalized health management
`general-medicine` `surgery` `health-consultation` `personalized-treatment` `medical-education` | -> 📊 Total agents: [**453** ](https://lobechat.com/discover/assistants) +> 📊 Total agents: [**453** ](https://Mr.🆖 AI.com/discover/assistants) @@ -340,12 +340,12 @@ Our marketplace is not just a showcase platform but also a collaborative space. ### `9` [Support Local / Remote Database][docs-feat-database] -LobeChat supports the use of both server-side and local databases. Depending on your needs, you can choose the appropriate deployment solution: +Mr.🆖 AI supports the use of both server-side and local databases. Depending on your needs, you can choose the appropriate deployment solution: -- **Local database**: suitable for users who want more control over their data and privacy protection. LobeChat uses CRDT (Conflict-Free Replicated Data Type) technology to achieve multi-device synchronization. This is an experimental feature aimed at providing a seamless data synchronization experience. -- **Server-side database**: suitable for users who want a more convenient user experience. LobeChat supports PostgreSQL as a server-side database. For detailed documentation on how to configure the server-side database, please visit [Configure Server-side Database](https://lobehub.com/docs/self-hosting/advanced/server-database). +- **Local database**: suitable for users who want more control over their data and privacy protection. Mr.🆖 AI uses CRDT (Conflict-Free Replicated Data Type) technology to achieve multi-device synchronization. This is an experimental feature aimed at providing a seamless data synchronization experience. +- **Server-side database**: suitable for users who want a more convenient user experience. Mr.🆖 AI supports PostgreSQL as a server-side database. For detailed documentation on how to configure the server-side database, please visit [Configure Server-side Database](https://lobehub.com/docs/self-hosting/advanced/server-database). -Regardless of which database you choose, LobeChat can provide you with an excellent user experience. +Regardless of which database you choose, Mr.🆖 AI can provide you with an excellent user experience.
@@ -357,13 +357,13 @@ Regardless of which database you choose, LobeChat can provide you with an excell ### `10` [Support Multi-User Management][docs-feat-auth] -LobeChat supports multi-user management and provides two main user authentication and management solutions to meet different needs: +Mr.🆖 AI supports multi-user management and provides two main user authentication and management solutions to meet different needs: -- **next-auth**: LobeChat integrates `next-auth`, a flexible and powerful identity verification library that supports multiple authentication methods, including OAuth, email login, credential login, etc. With `next-auth`, you can easily implement user registration, login, session management, social login, and other functions to ensure the security and privacy of user data. +- **next-auth**: Mr.🆖 AI integrates `next-auth`, a flexible and powerful identity verification library that supports multiple authentication methods, including OAuth, email login, credential login, etc. With `next-auth`, you can easily implement user registration, login, session management, social login, and other functions to ensure the security and privacy of user data. -- [**Clerk**](https://go.clerk.com/exgqLG0): For users who need more advanced user management features, LobeChat also supports `Clerk`, a modern user management platform. `Clerk` provides richer functions, such as multi-factor authentication (MFA), user profile management, login activity monitoring, etc. With `Clerk`, you can get higher security and flexibility, and easily cope with complex user management needs. +- [**Clerk**](https://go.clerk.com/exgqLG0): For users who need more advanced user management features, Mr.🆖 AI also supports `Clerk`, a modern user management platform. `Clerk` provides richer functions, such as multi-factor authentication (MFA), user profile management, login activity monitoring, etc. With `Clerk`, you can get higher security and flexibility, and easily cope with complex user management needs. -Regardless of which user management solution you choose, LobeChat can provide you with an excellent user experience and powerful functional support. +Regardless of which user management solution you choose, Mr.🆖 AI can provide you with an excellent user experience and powerful functional support.
@@ -379,16 +379,16 @@ We deeply understand the importance of providing a seamless experience for users Therefore, we have adopted Progressive Web Application ([PWA](https://support.google.com/chrome/answer/9658361)) technology, a modern web technology that elevates web applications to an experience close to that of native apps. -Through PWA, LobeChat can offer a highly optimized user experience on both desktop and mobile devices while maintaining its lightweight and high-performance characteristics. +Through PWA, Mr.🆖 AI can offer a highly optimized user experience on both desktop and mobile devices while maintaining its lightweight and high-performance characteristics. Visually and in terms of feel, we have also meticulously designed the interface to ensure it is indistinguishable from native apps, providing smooth animations, responsive layouts, and adapting to different device screen resolutions. > \[!NOTE] > -> If you are unfamiliar with the installation process of PWA, you can add LobeChat as your desktop application (also applicable to mobile devices) by following these steps: +> If you are unfamiliar with the installation process of PWA, you can add Mr.🆖 AI as your desktop application (also applicable to mobile devices) by following these steps: > > - Launch the Chrome or Edge browser on your computer. -> - Visit the LobeChat webpage. +> - Visit the Mr.🆖 AI webpage. > - In the upper right corner of the address bar, click on the Install icon. > - Follow the instructions on the screen to complete the PWA Installation. @@ -414,15 +414,15 @@ We have carried out a series of optimization designs for mobile devices to enhan ### `13` [Custom Themes][docs-feat-theme] -As a design-engineering-oriented application, LobeChat places great emphasis on users' personalized experiences, +As a design-engineering-oriented application, Mr.🆖 AI places great emphasis on users' personalized experiences, hence introducing flexible and diverse theme modes, including a light mode for daytime and a dark mode for nighttime. Beyond switching theme modes, a range of color customization options allow users to adjust the application's theme colors according to their preferences. -Whether it's a desire for a sober dark blue, a lively peach pink, or a professional gray-white, users can find their style of color choices in LobeChat. +Whether it's a desire for a sober dark blue, a lively peach pink, or a professional gray-white, users can find their style of color choices in Mr.🆖 AI. > \[!TIP] > > The default configuration can intelligently recognize the user's system color mode and automatically switch themes to ensure a consistent visual experience with the operating system. -> For users who like to manually control details, LobeChat also offers intuitive setting options and a choice between chat bubble mode and document mode for conversation scenarios. +> For users who like to manually control details, Mr.🆖 AI also offers intuitive setting options and a choice between chat bubble mode and document mode for conversation scenarios.
@@ -432,7 +432,7 @@ Whether it's a desire for a sober dark blue, a lively peach pink, or a professio ### `*` What's more -Beside these features, LobeChat also have much better basic technique underground: +Beside these features, Mr.🆖 AI also have much better basic technique underground: - [x] 💨 **Quick Deployment**: Using the Vercel platform or docker image, you can deploy with just one click and complete the process within 1 minute without any complex configuration. - [x] 🌐 **Custom Domain**: If users have their own domain, they can bind it to the platform for quick access to the dialogue agent from anywhere. @@ -440,7 +440,7 @@ Beside these features, LobeChat also have much better basic technique undergroun - [x] 💎 **Exquisite UI Design**: With a carefully designed interface, it offers an elegant appearance and smooth interaction. It supports light and dark themes and is mobile-friendly. PWA support provides a more native-like experience. - [x] 🗣️ **Smooth Conversation Experience**: Fluid responses ensure a smooth conversation experience. It fully supports Markdown rendering, including code highlighting, LaTex formulas, Mermaid flowcharts, and more. -> ✨ more features will be added when LobeChat evolve. +> ✨ more features will be added when Mr.🆖 AI evolve. --- @@ -473,11 +473,11 @@ Beside these features, LobeChat also have much better basic technique undergroun ## 🛳 Self Hosting -LobeChat provides Self-Hosted Version with Vercel, Alibaba Cloud, and [Docker Image][docker-release-link]. This allows you to deploy your own chatbot within a few minutes without any prior knowledge. +Mr.🆖 AI provides Self-Hosted Version with Vercel, Alibaba Cloud, and [Docker Image][docker-release-link]. This allows you to deploy your own chatbot within a few minutes without any prior knowledge. > \[!TIP] > -> Learn more about [📘 Build your own LobeChat][docs-self-hosting] by checking it out. +> Learn more about [📘 Build your own Mr.🆖 AI][docs-self-hosting] by checking it out. ### `A` Deploying with Vercel, Zeabur , Sealos or Alibaba Cloud @@ -516,7 +516,7 @@ If you have deployed your own project following the one-click deployment steps i [![][docker-size-shield]][docker-size-link] [![][docker-pulls-shield]][docker-pulls-link] -We provide a Docker image for deploying the LobeChat service on your own private device. Use the following command to start the LobeChat service: +We provide a Docker image for deploying the Mr.🆖 AI service on your own private device. Use the following command to start the Mr.🆖 AI service: ```fish $ docker run -d -p 3210:3210 \ @@ -583,12 +583,12 @@ This project provides some additional configuration items set with environment v ## 🧩 Plugins -Plugins provide a means to extend the [Function Calling][docs-functionc-call] capabilities of LobeChat. They can be used to introduce new function calls and even new ways to render message results. If you are interested in plugin development, please refer to our [📘 Plugin Development Guide][docs-plugin-dev] in the Wiki. +Plugins provide a means to extend the [Function Calling][docs-functionc-call] capabilities of Mr.🆖 AI. They can be used to introduce new function calls and even new ways to render message results. If you are interested in plugin development, please refer to our [📘 Plugin Development Guide][docs-plugin-dev] in the Wiki. -- [lobe-chat-plugins][lobe-chat-plugins]: This is the plugin index for LobeChat. It accesses index.json from this repository to display a list of available plugins for LobeChat to the user. -- [chat-plugin-template][chat-plugin-template]: This is the plugin template for LobeChat plugin development. -- [@lobehub/chat-plugin-sdk][chat-plugin-sdk]: The LobeChat Plugin SDK assists you in creating exceptional chat plugins for Lobe Chat. -- [@lobehub/chat-plugins-gateway][chat-plugins-gateway]: The LobeChat Plugins Gateway is a backend service that provides a gateway for LobeChat plugins. We deploy this service using Vercel. The primary API POST /api/v1/runner is deployed as an Edge Function. +- [lobe-chat-plugins][lobe-chat-plugins]: This is the plugin index for Mr.🆖 AI. It accesses index.json from this repository to display a list of available plugins for Mr.🆖 AI to the user. +- [chat-plugin-template][chat-plugin-template]: This is the plugin template for Mr.🆖 AI plugin development. +- [@lobehub/chat-plugin-sdk][chat-plugin-sdk]: The Mr.🆖 AI Plugin SDK assists you in creating exceptional chat plugins for Lobe Chat. +- [@lobehub/chat-plugins-gateway][chat-plugins-gateway]: The Mr.🆖 AI Plugins Gateway is a backend service that provides a gateway for Mr.🆖 AI plugins. We deploy this service using Vercel. The primary API POST /api/v1/runner is deployed as an Edge Function. > \[!NOTE] > @@ -635,7 +635,7 @@ Contributions of all types are more than welcome; if you are interested in contr > > We are creating a technology-driven forum, fostering knowledge interaction and the exchange of ideas that may culminate in mutual inspiration and collaborative innovation. > -> Help us make LobeChat better. Welcome to provide product design feedback, user experience discussions directly to us. +> Help us make Mr.🆖 AI better. Welcome to provide product design feedback, user experience discussions directly to us. > > **Principal Maintainers:** [@arvinxx](https://github.com/arvinxx) [@canisminor1990](https://github.com/canisminor1990) @@ -741,7 +741,7 @@ This project is [Apache 2.0](./LICENSE) licensed. [deploy-button-image]: https://vercel.com/button [deploy-link]: https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat&env=OPENAI_API_KEY,ACCESS_CODE&envDescription=Find%20your%20OpenAI%20API%20Key%20by%20click%20the%20right%20Learn%20More%20button.%20%7C%20Access%20Code%20can%20protect%20your%20website&envLink=https%3A%2F%2Fplatform.openai.com%2Faccount%2Fapi-keys&project-name=lobe-chat&repository-name=lobe-chat [deploy-on-alibaba-cloud-button-image]: https://service-info-public.oss-cn-hangzhou.aliyuncs.com/computenest-en.svg -[deploy-on-alibaba-cloud-link]: https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=LobeChat%E7%A4%BE%E5%8C%BA%E7%89%88 +[deploy-on-alibaba-cloud-link]: https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Mr.🆖 AI%E7%A4%BE%E5%8C%BA%E7%89%88 [deploy-on-repocloud-button-image]: https://d16t0pc4846x52.cloudfront.net/deploylobe.svg [deploy-on-repocloud-link]: https://repocloud.io/details/?app_id=248 [deploy-on-sealos-button-image]: https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg @@ -844,17 +844,17 @@ This project is [Apache 2.0](./LICENSE) licensed. [profile-link]: https://github.com/lobehub [share-linkedin-link]: https://linkedin.com/feed [share-linkedin-shield]: https://img.shields.io/badge/-share%20on%20linkedin-black?labelColor=black&logo=linkedin&logoColor=white&style=flat-square -[share-mastodon-link]: https://mastodon.social/share?text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20LobeChat%20-%20An%20open-source,%20extensible%20(Function%20Calling),%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT/LLM%20web%20application.%20https://github.com/lobehub/lobe-chat%20#chatbot%20#chatGPT%20#openAI +[share-mastodon-link]: https://mastodon.social/share?text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20An%20open-source,%20extensible%20(Function%20Calling),%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT/LLM%20web%20application.%20https://github.com/lobehub/lobe-chat%20#chatbot%20#chatGPT%20#openAI [share-mastodon-shield]: https://img.shields.io/badge/-share%20on%20mastodon-black?labelColor=black&logo=mastodon&logoColor=white&style=flat-square -[share-reddit-link]: https://www.reddit.com/submit?title=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20LobeChat%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat +[share-reddit-link]: https://www.reddit.com/submit?title=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat [share-reddit-shield]: https://img.shields.io/badge/-share%20on%20reddit-black?labelColor=black&logo=reddit&logoColor=white&style=flat-square -[share-telegram-link]: https://t.me/share/url"?text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20LobeChat%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat +[share-telegram-link]: https://t.me/share/url"?text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat [share-telegram-shield]: https://img.shields.io/badge/-share%20on%20telegram-black?labelColor=black&logo=telegram&logoColor=white&style=flat-square -[share-weibo-link]: http://service.weibo.com/share/share.php?sharesource=weibo&title=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20LobeChat%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat +[share-weibo-link]: http://service.weibo.com/share/share.php?sharesource=weibo&title=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat [share-weibo-shield]: https://img.shields.io/badge/-share%20on%20weibo-black?labelColor=black&logo=sinaweibo&logoColor=white&style=flat-square -[share-whatsapp-link]: https://api.whatsapp.com/send?text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20LobeChat%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.%20https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat%20%23chatbot%20%23chatGPT%20%23openAI +[share-whatsapp-link]: https://api.whatsapp.com/send?text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.%20https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat%20%23chatbot%20%23chatGPT%20%23openAI [share-whatsapp-shield]: https://img.shields.io/badge/-share%20on%20whatsapp-black?labelColor=black&logo=whatsapp&logoColor=white&style=flat-square -[share-x-link]: https://x.com/intent/tweet?hashtags=chatbot%2CchatGPT%2CopenAI&text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20LobeChat%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat +[share-x-link]: https://x.com/intent/tweet?hashtags=chatbot%2CchatGPT%2CopenAI&text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20An%20open-source%2C%20extensible%20%28Function%20Calling%29%2C%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT%2FLLM%20web%20application.&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat [share-x-shield]: https://img.shields.io/badge/-share%20on%20x-black?labelColor=black&logo=x&logoColor=white&style=flat-square [sponsor-link]: https://opencollective.com/lobehub 'Become ❤️ LobeHub Sponsor' [sponsor-shield]: https://img.shields.io/badge/-Sponsor%20LobeHub-f04f88?logo=opencollective&logoColor=white&style=flat-square @@ -864,4 +864,4 @@ This project is [Apache 2.0](./LICENSE) licensed. [submit-plugin-shield]: https://img.shields.io/badge/🧩/🏪_submit_plugin-%E2%86%92-95f3d9?labelColor=black&style=for-the-badge [vercel-link]: https://chat-preview.lobehub.com [vercel-shield]: https://img.shields.io/badge/vercel-online-55b467?labelColor=black&logo=vercel&style=flat-square -[vercel-shield-badge]: https://img.shields.io/badge/TRY%20LOBECHAT-ONLINE-55b467?labelColor=black&logo=vercel&style=for-the-badge +[vercel-shield-badge]: https://img.shields.io/badge/TRY%20Mr.🆖 AI-ONLINE-55b467?labelColor=black&logo=vercel&style=for-the-badge diff --git a/README.zh-CN.md b/README.zh-CN.md index 1201ddbade73..3f29dc6a25d3 100644 --- a/README.zh-CN.md +++ b/README.zh-CN.md @@ -27,7 +27,7 @@ [![][github-license-shield]][github-license-link]
[![][sponsor-shield]][sponsor-link] -**分享 LobeChat 给你的好友** +**分享 Mr.🆖 AI 给你的好友** [![][share-x-shield]][share-x-link] [![][share-telegram-shield]][share-telegram-link] @@ -90,7 +90,7 @@ 我们是一群充满热情的设计工程师,希望为 AIGC 提供现代化的设计组件和工具,并以开源的方式分享。 同时通过 Bootstrapping 的方式,我们希望能够为开发者和用户提供一个更加开放、更加透明友好的产品生态。 -不论普通用户与专业开发者,LobeHub 旨在成为所有人的 AI Agent 实验场。LobeChat 目前正在积极开发中,有任何需求或者问题,欢迎提交 [issues][issues-link] +不论普通用户与专业开发者,LobeHub 旨在成为所有人的 AI Agent 实验场。Mr.🆖 AI 目前正在积极开发中,有任何需求或者问题,欢迎提交 [issues][issues-link] | [![][vercel-shield-badge]][vercel-link] | 无需安装或注册!访问我们的网站,快速体验 | | :---------------------------------------- | :--------------------------------------------------------------------------- | @@ -115,13 +115,13 @@ ### `1` [文件上传 / 知识库][docs-feat-knowledgebase] -LobeChat 支持文件上传与知识库功能,你可以上传文件、图片、音频、视频等多种类型的文件,以及创建知识库,方便用户管理和查找文件。同时在对话中使用文件和知识库功能,实现更加丰富的对话体验。 +Mr.🆖 AI 支持文件上传与知识库功能,你可以上传文件、图片、音频、视频等多种类型的文件,以及创建知识库,方便用户管理和查找文件。同时在对话中使用文件和知识库功能,实现更加丰富的对话体验。 > \[!TIP] > -> 查阅 [📘 LobeChat 知识库上线 —— 此刻起,跬步千里](https://lobehub.com/zh/blog/knowledge-base) 了解详情。 +> 查阅 [📘 Mr.🆖 AI 知识库上线 —— 此刻起,跬步千里](https://lobehub.com/zh/blog/knowledge-base) 了解详情。
@@ -133,9 +133,9 @@ LobeChat 支持文件上传与知识库功能,你可以上传文件、图片 ### `2` [多模型服务商支持][docs-feat-provider] -在 LobeChat 的不断发展过程中,我们深刻理解到在提供 AI 会话服务时模型服务商的多样性对于满足社区需求的重要性。因此,我们不再局限于单一的模型服务商,而是拓展了对多种模型服务商的支持,以便为用户提供更为丰富和多样化的会话选择。 +在 Mr.🆖 AI 的不断发展过程中,我们深刻理解到在提供 AI 会话服务时模型服务商的多样性对于满足社区需求的重要性。因此,我们不再局限于单一的模型服务商,而是拓展了对多种模型服务商的支持,以便为用户提供更为丰富和多样化的会话选择。 -通过这种方式,LobeChat 能够更灵活地适应不同用户的需求,同时也为开发者提供了更为广泛的选择空间。 +通过这种方式,Mr.🆖 AI 能够更灵活地适应不同用户的需求,同时也为开发者提供了更为广泛的选择空间。 #### 已支持的模型服务商 @@ -143,53 +143,53 @@ LobeChat 支持文件上传与知识库功能,你可以上传文件、图片 -- **[Mr.🆖 AI Hub](https://lobechat.com/discover/provider/openai)**: OpenAI 是全球领先的人工智能研究机构,其开发的模型如 GPT 系列推动了自然语言处理的前沿。OpenAI 致力于通过创新和高效的 AI 解决方案改变多个行业。他们的产品具有显著的性能和经济性,广泛用于研究、商业和创新应用。 -- **[Ollama](https://lobechat.com/discover/provider/ollama)**: Ollama 提供的模型广泛涵盖代码生成、数学运算、多语种处理和对话互动等领域,支持企业级和本地化部署的多样化需求。 -- **[Anthropic](https://lobechat.com/discover/provider/anthropic)**: Anthropic 是一家专注于人工智能研究和开发的公司,提供了一系列先进的语言模型,如 Claude 3.5 Sonnet、Claude 3 Sonnet、Claude 3 Opus 和 Claude 3 Haiku。这些模型在智能、速度和成本之间取得了理想的平衡,适用于从企业级工作负载到快速响应的各种应用场景。Claude 3.5 Sonnet 作为其最新模型,在多项评估中表现优异,同时保持了较高的性价比。 -- **[Bedrock](https://lobechat.com/discover/provider/bedrock)**: Bedrock 是亚马逊 AWS 提供的一项服务,专注于为企业提供先进的 AI 语言模型和视觉模型。其模型家族包括 Anthropic 的 Claude 系列、Meta 的 Llama 3.1 系列等,涵盖从轻量级到高性能的多种选择,支持文本生成、对话、图像处理等多种任务,适用于不同规模和需求的企业应用。 -- **[Google](https://lobechat.com/discover/provider/google)**: Google 的 Gemini 系列是其最先进、通用的 AI 模型,由 Google DeepMind 打造,专为多模态设计,支持文本、代码、图像、音频和视频的无缝理解与处理。适用于从数据中心到移动设备的多种环境,极大提升了 AI 模型的效率与应用广泛性。 -- **[DeepSeek](https://lobechat.com/discover/provider/deepseek)**: DeepSeek 是一家专注于人工智能技术研究和应用的公司,其最新模型 DeepSeek-V3 多项评测成绩超越 Qwen2.5-72B 和 Llama-3.1-405B 等开源模型,性能对齐领军闭源模型 GPT-4o 与 Claude-3.5-Sonnet。 -- **[HuggingFace](https://lobechat.com/discover/provider/huggingface)**: HuggingFace Inference API 提供了一种快速且免费的方式,让您可以探索成千上万种模型,适用于各种任务。无论您是在为新应用程序进行原型设计,还是在尝试机器学习的功能,这个 API 都能让您即时访问多个领域的高性能模型。 -- **[OpenRouter](https://lobechat.com/discover/provider/openrouter)**: OpenRouter 是一个提供多种前沿大模型接口的服务平台,支持 OpenAI、Anthropic、LLaMA 及更多,适合多样化的开发和应用需求。用户可根据自身需求灵活选择最优的模型和价格,助力 AI 体验的提升。 -- **[Cloudflare Workers AI](https://lobechat.com/discover/provider/cloudflare)**: 在 Cloudflare 的全球网络上运行由无服务器 GPU 驱动的机器学习模型。 -- **[GitHub](https://lobechat.com/discover/provider/github)**: 通过 GitHub 模型,开发人员可以成为 AI 工程师,并使用行业领先的 AI 模型进行构建。 +- **[Mr.🆖 AI Hub](https://Mr.🆖 AI.com/discover/provider/openai)**: OpenAI 是全球领先的人工智能研究机构,其开发的模型如 GPT 系列推动了自然语言处理的前沿。OpenAI 致力于通过创新和高效的 AI 解决方案改变多个行业。他们的产品具有显著的性能和经济性,广泛用于研究、商业和创新应用。 +- **[Ollama](https://Mr.🆖 AI.com/discover/provider/ollama)**: Ollama 提供的模型广泛涵盖代码生成、数学运算、多语种处理和对话互动等领域,支持企业级和本地化部署的多样化需求。 +- **[Anthropic](https://Mr.🆖 AI.com/discover/provider/anthropic)**: Anthropic 是一家专注于人工智能研究和开发的公司,提供了一系列先进的语言模型,如 Claude 3.5 Sonnet、Claude 3 Sonnet、Claude 3 Opus 和 Claude 3 Haiku。这些模型在智能、速度和成本之间取得了理想的平衡,适用于从企业级工作负载到快速响应的各种应用场景。Claude 3.5 Sonnet 作为其最新模型,在多项评估中表现优异,同时保持了较高的性价比。 +- **[Bedrock](https://Mr.🆖 AI.com/discover/provider/bedrock)**: Bedrock 是亚马逊 AWS 提供的一项服务,专注于为企业提供先进的 AI 语言模型和视觉模型。其模型家族包括 Anthropic 的 Claude 系列、Meta 的 Llama 3.1 系列等,涵盖从轻量级到高性能的多种选择,支持文本生成、对话、图像处理等多种任务,适用于不同规模和需求的企业应用。 +- **[Google](https://Mr.🆖 AI.com/discover/provider/google)**: Google 的 Gemini 系列是其最先进、通用的 AI 模型,由 Google DeepMind 打造,专为多模态设计,支持文本、代码、图像、音频和视频的无缝理解与处理。适用于从数据中心到移动设备的多种环境,极大提升了 AI 模型的效率与应用广泛性。 +- **[DeepSeek](https://Mr.🆖 AI.com/discover/provider/deepseek)**: DeepSeek 是一家专注于人工智能技术研究和应用的公司,其最新模型 DeepSeek-V3 多项评测成绩超越 Qwen2.5-72B 和 Llama-3.1-405B 等开源模型,性能对齐领军闭源模型 GPT-4o 与 Claude-3.5-Sonnet。 +- **[HuggingFace](https://Mr.🆖 AI.com/discover/provider/huggingface)**: HuggingFace Inference API 提供了一种快速且免费的方式,让您可以探索成千上万种模型,适用于各种任务。无论您是在为新应用程序进行原型设计,还是在尝试机器学习的功能,这个 API 都能让您即时访问多个领域的高性能模型。 +- **[OpenRouter](https://Mr.🆖 AI.com/discover/provider/openrouter)**: OpenRouter 是一个提供多种前沿大模型接口的服务平台,支持 OpenAI、Anthropic、LLaMA 及更多,适合多样化的开发和应用需求。用户可根据自身需求灵活选择最优的模型和价格,助力 AI 体验的提升。 +- **[Cloudflare Workers AI](https://Mr.🆖 AI.com/discover/provider/cloudflare)**: 在 Cloudflare 的全球网络上运行由无服务器 GPU 驱动的机器学习模型。 +- **[GitHub](https://Mr.🆖 AI.com/discover/provider/github)**: 通过 GitHub 模型,开发人员可以成为 AI 工程师,并使用行业领先的 AI 模型进行构建。
See more providers (+26) -- **[Novita](https://lobechat.com/discover/provider/novita)**: Novita AI 是一个提供多种大语言模型与 AI 图像生成的 API 服务的平台,灵活、可靠且具有成本效益。它支持 Llama3、Mistral 等最新的开源模型,并为生成式 AI 应用开发提供了全面、用户友好且自动扩展的 API 解决方案,适合 AI 初创公司的快速发展。 -- **[Together AI](https://lobechat.com/discover/provider/togetherai)**: Together AI 致力于通过创新的 AI 模型实现领先的性能,提供广泛的自定义能力,包括快速扩展支持和直观的部署流程,满足企业的各种需求。 -- **[Fireworks AI](https://lobechat.com/discover/provider/fireworksai)**: Fireworks AI 是一家领先的高级语言模型服务商,专注于功能调用和多模态处理。其最新模型 Firefunction V2 基于 Llama-3,优化用于函数调用、对话及指令跟随。视觉语言模型 FireLLaVA-13B 支持图像和文本混合输入。其他 notable 模型包括 Llama 系列和 Mixtral 系列,提供高效的多语言指令跟随与生成支持。 -- **[Groq](https://lobechat.com/discover/provider/groq)**: Groq 的 LPU 推理引擎在最新的独立大语言模型(LLM)基准测试中表现卓越,以其惊人的速度和效率重新定义了 AI 解决方案的标准。Groq 是一种即时推理速度的代表,在基于云的部署中展现了良好的性能。 -- **[Perplexity](https://lobechat.com/discover/provider/perplexity)**: Perplexity 是一家领先的对话生成模型提供商,提供多种先进的 Llama 3.1 模型,支持在线和离线应用,特别适用于复杂的自然语言处理任务。 -- **[Mistral](https://lobechat.com/discover/provider/mistral)**: Mistral 提供先进的通用、专业和研究型模型,广泛应用于复杂推理、多语言任务、代码生成等领域,通过功能调用接口,用户可以集成自定义功能,实现特定应用。 -- **[Ai21Labs](https://lobechat.com/discover/provider/ai21)**: AI21 Labs 为企业构建基础模型和人工智能系统,加速生成性人工智能在生产中的应用。 -- **[Upstage](https://lobechat.com/discover/provider/upstage)**: Upstage 专注于为各种商业需求开发 AI 模型,包括 Solar LLM 和文档 AI,旨在实现工作的人造通用智能(AGI)。通过 Chat API 创建简单的对话代理,并支持功能调用、翻译、嵌入以及特定领域应用。 -- **[xAI](https://lobechat.com/discover/provider/xai)**: xAI 是一家致力于构建人工智能以加速人类科学发现的公司。我们的使命是推动我们对宇宙的共同理解。 -- **[Qwen](https://lobechat.com/discover/provider/qwen)**: 通义千问是阿里云自主研发的超大规模语言模型,具有强大的自然语言理解和生成能力。它可以回答各种问题、创作文字内容、表达观点看法、撰写代码等,在多个领域发挥作用。 -- **[Wenxin](https://lobechat.com/discover/provider/wenxin)**: 企业级一站式大模型与 AI 原生应用开发及服务平台,提供最全面易用的生成式人工智能模型开发、应用开发全流程工具链 -- **[Hunyuan](https://lobechat.com/discover/provider/hunyuan)**: 由腾讯研发的大语言模型,具备强大的中文创作能力,复杂语境下的逻辑推理能力,以及可靠的任务执行能力 -- **[Spark](https://lobechat.com/discover/provider/spark)**: 科大讯飞星火大模型提供多领域、多语言的强大 AI 能力,利用先进的自然语言处理技术,构建适用于智能硬件、智慧医疗、智慧金融等多种垂直场景的创新应用。 -- **[ZhiPu](https://lobechat.com/discover/provider/zhipu)**: 智谱 AI 提供多模态与语言模型的开放平台,支持广泛的 AI 应用场景,包括文本处理、图像理解与编程辅助等。 -- **[01.AI](https://lobechat.com/discover/provider/zeroone)**: 零一万物致力于推动以人为本的 AI 2.0 技术革命,旨在通过大语言模型创造巨大的经济和社会价值,并开创新的 AI 生态与商业模式。 -- **[SenseNova](https://lobechat.com/discover/provider/sensenova)**: 商汤日日新,依托商汤大装置的强大的基础支撑,提供高效易用的全栈大模型服务。 -- **[Stepfun](https://lobechat.com/discover/provider/stepfun)**: 阶级星辰大模型具备行业领先的多模态及复杂推理能力,支持超长文本理解和强大的自主调度搜索引擎功能。 -- **[Moonshot](https://lobechat.com/discover/provider/moonshot)**: Moonshot 是由北京月之暗面科技有限公司推出的开源平台,提供多种自然语言处理模型,应用领域广泛,包括但不限于内容创作、学术研究、智能推荐、医疗诊断等,支持长文本处理和复杂生成任务。 -- **[Baichuan](https://lobechat.com/discover/provider/baichuan)**: 百川智能是一家专注于人工智能大模型研发的公司,其模型在国内知识百科、长文本处理和生成创作等中文任务上表现卓越,超越了国外主流模型。百川智能还具备行业领先的多模态能力,在多项权威评测中表现优异。其模型包括 Baichuan 4、Baichuan 3 Turbo 和 Baichuan 3 Turbo 128k 等,分别针对不同应用场景进行优化,提供高性价比的解决方案。 -- **[Minimax](https://lobechat.com/discover/provider/minimax)**: MiniMax 是 2021 年成立的通用人工智能科技公司,致力于与用户共创智能。MiniMax 自主研发了不同模态的通用大模型,其中包括万亿参数的 MoE 文本大模型、语音大模型以及图像大模型。并推出了海螺 AI 等应用。 -- **[360 AI](https://lobechat.com/discover/provider/ai360)**: 360 AI 是 360 公司推出的 AI 模型和服务平台,提供多种先进的自然语言处理模型,包括 360GPT2 Pro、360GPT Pro、360GPT Turbo 和 360GPT Turbo Responsibility 8K。这些模型结合了大规模参数和多模态能力,广泛应用于文本生成、语义理解、对话系统与代码生成等领域。通过灵活的定价策略,360 AI 满足多样化用户需求,支持开发者集成,推动智能化应用的革新和发展。 -- **[Taichu](https://lobechat.com/discover/provider/taichu)**: 中科院自动化研究所和武汉人工智能研究院推出新一代多模态大模型,支持多轮问答、文本创作、图像生成、3D 理解、信号分析等全面问答任务,拥有更强的认知、理解、创作能力,带来全新互动体验。 -- **[InternLM](https://lobechat.com/discover/provider/internlm)**: 致力于大模型研究与开发工具链的开源组织。为所有 AI 开发者提供高效、易用的开源平台,让最前沿的大模型与算法技术触手可及 -- **[SiliconCloud](https://lobechat.com/discover/provider/siliconcloud)**: SiliconCloud,基于优秀开源基础模型的高性价比 GenAI 云服务 -- **[Higress](https://lobechat.com/discover/provider/higress)**: Higress 是一款云原生 API 网关,在阿里内部为解决 Tengine reload 对长连接业务有损,以及 gRPC/Dubbo 负载均衡能力不足而诞生。 -- **[Gitee AI](https://lobechat.com/discover/provider/giteeai)**: Gitee AI 的 Serverless API 为 AI 开发者提供开箱即用的大模型推理 API 服务。 +- **[Novita](https://Mr.🆖 AI.com/discover/provider/novita)**: Novita AI 是一个提供多种大语言模型与 AI 图像生成的 API 服务的平台,灵活、可靠且具有成本效益。它支持 Llama3、Mistral 等最新的开源模型,并为生成式 AI 应用开发提供了全面、用户友好且自动扩展的 API 解决方案,适合 AI 初创公司的快速发展。 +- **[Together AI](https://Mr.🆖 AI.com/discover/provider/togetherai)**: Together AI 致力于通过创新的 AI 模型实现领先的性能,提供广泛的自定义能力,包括快速扩展支持和直观的部署流程,满足企业的各种需求。 +- **[Fireworks AI](https://Mr.🆖 AI.com/discover/provider/fireworksai)**: Fireworks AI 是一家领先的高级语言模型服务商,专注于功能调用和多模态处理。其最新模型 Firefunction V2 基于 Llama-3,优化用于函数调用、对话及指令跟随。视觉语言模型 FireLLaVA-13B 支持图像和文本混合输入。其他 notable 模型包括 Llama 系列和 Mixtral 系列,提供高效的多语言指令跟随与生成支持。 +- **[Groq](https://Mr.🆖 AI.com/discover/provider/groq)**: Groq 的 LPU 推理引擎在最新的独立大语言模型(LLM)基准测试中表现卓越,以其惊人的速度和效率重新定义了 AI 解决方案的标准。Groq 是一种即时推理速度的代表,在基于云的部署中展现了良好的性能。 +- **[Perplexity](https://Mr.🆖 AI.com/discover/provider/perplexity)**: Perplexity 是一家领先的对话生成模型提供商,提供多种先进的 Llama 3.1 模型,支持在线和离线应用,特别适用于复杂的自然语言处理任务。 +- **[Mistral](https://Mr.🆖 AI.com/discover/provider/mistral)**: Mistral 提供先进的通用、专业和研究型模型,广泛应用于复杂推理、多语言任务、代码生成等领域,通过功能调用接口,用户可以集成自定义功能,实现特定应用。 +- **[Ai21Labs](https://Mr.🆖 AI.com/discover/provider/ai21)**: AI21 Labs 为企业构建基础模型和人工智能系统,加速生成性人工智能在生产中的应用。 +- **[Upstage](https://Mr.🆖 AI.com/discover/provider/upstage)**: Upstage 专注于为各种商业需求开发 AI 模型,包括 Solar LLM 和文档 AI,旨在实现工作的人造通用智能(AGI)。通过 Chat API 创建简单的对话代理,并支持功能调用、翻译、嵌入以及特定领域应用。 +- **[xAI](https://Mr.🆖 AI.com/discover/provider/xai)**: xAI 是一家致力于构建人工智能以加速人类科学发现的公司。我们的使命是推动我们对宇宙的共同理解。 +- **[Qwen](https://Mr.🆖 AI.com/discover/provider/qwen)**: 通义千问是阿里云自主研发的超大规模语言模型,具有强大的自然语言理解和生成能力。它可以回答各种问题、创作文字内容、表达观点看法、撰写代码等,在多个领域发挥作用。 +- **[Wenxin](https://Mr.🆖 AI.com/discover/provider/wenxin)**: 企业级一站式大模型与 AI 原生应用开发及服务平台,提供最全面易用的生成式人工智能模型开发、应用开发全流程工具链 +- **[Hunyuan](https://Mr.🆖 AI.com/discover/provider/hunyuan)**: 由腾讯研发的大语言模型,具备强大的中文创作能力,复杂语境下的逻辑推理能力,以及可靠的任务执行能力 +- **[Spark](https://Mr.🆖 AI.com/discover/provider/spark)**: 科大讯飞星火大模型提供多领域、多语言的强大 AI 能力,利用先进的自然语言处理技术,构建适用于智能硬件、智慧医疗、智慧金融等多种垂直场景的创新应用。 +- **[ZhiPu](https://Mr.🆖 AI.com/discover/provider/zhipu)**: 智谱 AI 提供多模态与语言模型的开放平台,支持广泛的 AI 应用场景,包括文本处理、图像理解与编程辅助等。 +- **[01.AI](https://Mr.🆖 AI.com/discover/provider/zeroone)**: 零一万物致力于推动以人为本的 AI 2.0 技术革命,旨在通过大语言模型创造巨大的经济和社会价值,并开创新的 AI 生态与商业模式。 +- **[SenseNova](https://Mr.🆖 AI.com/discover/provider/sensenova)**: 商汤日日新,依托商汤大装置的强大的基础支撑,提供高效易用的全栈大模型服务。 +- **[Stepfun](https://Mr.🆖 AI.com/discover/provider/stepfun)**: 阶级星辰大模型具备行业领先的多模态及复杂推理能力,支持超长文本理解和强大的自主调度搜索引擎功能。 +- **[Moonshot](https://Mr.🆖 AI.com/discover/provider/moonshot)**: Moonshot 是由北京月之暗面科技有限公司推出的开源平台,提供多种自然语言处理模型,应用领域广泛,包括但不限于内容创作、学术研究、智能推荐、医疗诊断等,支持长文本处理和复杂生成任务。 +- **[Baichuan](https://Mr.🆖 AI.com/discover/provider/baichuan)**: 百川智能是一家专注于人工智能大模型研发的公司,其模型在国内知识百科、长文本处理和生成创作等中文任务上表现卓越,超越了国外主流模型。百川智能还具备行业领先的多模态能力,在多项权威评测中表现优异。其模型包括 Baichuan 4、Baichuan 3 Turbo 和 Baichuan 3 Turbo 128k 等,分别针对不同应用场景进行优化,提供高性价比的解决方案。 +- **[Minimax](https://Mr.🆖 AI.com/discover/provider/minimax)**: MiniMax 是 2021 年成立的通用人工智能科技公司,致力于与用户共创智能。MiniMax 自主研发了不同模态的通用大模型,其中包括万亿参数的 MoE 文本大模型、语音大模型以及图像大模型。并推出了海螺 AI 等应用。 +- **[360 AI](https://Mr.🆖 AI.com/discover/provider/ai360)**: 360 AI 是 360 公司推出的 AI 模型和服务平台,提供多种先进的自然语言处理模型,包括 360GPT2 Pro、360GPT Pro、360GPT Turbo 和 360GPT Turbo Responsibility 8K。这些模型结合了大规模参数和多模态能力,广泛应用于文本生成、语义理解、对话系统与代码生成等领域。通过灵活的定价策略,360 AI 满足多样化用户需求,支持开发者集成,推动智能化应用的革新和发展。 +- **[Taichu](https://Mr.🆖 AI.com/discover/provider/taichu)**: 中科院自动化研究所和武汉人工智能研究院推出新一代多模态大模型,支持多轮问答、文本创作、图像生成、3D 理解、信号分析等全面问答任务,拥有更强的认知、理解、创作能力,带来全新互动体验。 +- **[InternLM](https://Mr.🆖 AI.com/discover/provider/internlm)**: 致力于大模型研究与开发工具链的开源组织。为所有 AI 开发者提供高效、易用的开源平台,让最前沿的大模型与算法技术触手可及 +- **[SiliconCloud](https://Mr.🆖 AI.com/discover/provider/siliconcloud)**: SiliconCloud,基于优秀开源基础模型的高性价比 GenAI 云服务 +- **[Higress](https://Mr.🆖 AI.com/discover/provider/higress)**: Higress 是一款云原生 API 网关,在阿里内部为解决 Tengine reload 对长连接业务有损,以及 gRPC/Dubbo 负载均衡能力不足而诞生。 +- **[Gitee AI](https://Mr.🆖 AI.com/discover/provider/giteeai)**: Gitee AI 的 Serverless API 为 AI 开发者提供开箱即用的大模型推理 API 服务。
-> 📊 Total providers: [**36**](https://lobechat.com/discover/providers) +> 📊 Total providers: [**36**](https://Mr.🆖 AI.com/discover/providers) -同时,我们也在计划支持更多的模型服务商,以进一步丰富我们的服务商库。如果你希望让 LobeChat 支持你喜爱的服务商,欢迎加入我们的 [💬 社区讨论](https://github.com/lobehub/lobe-chat/discussions/1284)。 +同时,我们也在计划支持更多的模型服务商,以进一步丰富我们的服务商库。如果你希望让 Mr.🆖 AI 支持你喜爱的服务商,欢迎加入我们的 [💬 社区讨论](https://github.com/lobehub/lobe-chat/discussions/1284)。
@@ -201,11 +201,11 @@ LobeChat 支持文件上传与知识库功能,你可以上传文件、图片 ### `3` [支持本地大语言模型 (LLM)][docs-feat-local] -为了满足特定用户的需求,LobeChat 还基于 [Ollama](https://ollama.ai) 支持了本地模型的使用,让用户能够更灵活地使用自己的或第三方的模型。 +为了满足特定用户的需求,Mr.🆖 AI 还基于 [Ollama](https://ollama.ai) 支持了本地模型的使用,让用户能够更灵活地使用自己的或第三方的模型。 > \[!TIP] > -> 查阅 [📘 在 LobeChat 中使用 Ollama][docs-usage-ollama] 获得更多信息 +> 查阅 [📘 在 Mr.🆖 AI 中使用 Ollama][docs-usage-ollama] 获得更多信息
@@ -217,7 +217,7 @@ LobeChat 支持文件上传与知识库功能,你可以上传文件、图片 ### `4` [模型视觉识别 (Model Visual)][docs-feat-vision] -LobeChat 已经支持 OpenAI 最新的 [`gpt-4-vision`](https://platform.openai.com/docs/guides/vision) 支持视觉识别的模型,这是一个具备视觉识别能力的多模态应用。 +Mr.🆖 AI 已经支持 OpenAI 最新的 [`gpt-4-vision`](https://platform.openai.com/docs/guides/vision) 支持视觉识别的模型,这是一个具备视觉识别能力的多模态应用。 用户可以轻松上传图片或者拖拽图片到对话框中,助手将能够识别图片内容,并在此基础上进行智能对话,构建更智能、更多元化的聊天场景。 这一特性打开了新的互动方式,使得交流不再局限于文字,而是可以涵盖丰富的视觉元素。无论是日常使用中的图片分享,还是在特定行业内的图像解读,助手都能提供出色的对话体验。 @@ -232,10 +232,10 @@ LobeChat 已经支持 OpenAI 最新的 [`gpt-4-vision`](https://platform.openai. ### `5` [TTS & STT 语音会话][docs-feat-tts] -LobeChat 支持文字转语音(Text-to-Speech,TTS)和语音转文字(Speech-to-Text,STT)技术,这使得我们的应用能够将文本信息转化为清晰的语音输出,用户可以像与真人交谈一样与我们的对话助手进行交流。 +Mr.🆖 AI 支持文字转语音(Text-to-Speech,TTS)和语音转文字(Speech-to-Text,STT)技术,这使得我们的应用能够将文本信息转化为清晰的语音输出,用户可以像与真人交谈一样与我们的对话助手进行交流。 用户可以从多种声音中选择,给助手搭配合适的音源。 同时,对于那些倾向于听觉学习或者想要在忙碌中获取信息的用户来说,TTS 提供了一个极佳的解决方案。 -在 LobeChat 中,我们精心挑选了一系列高品质的声音选项 (OpenAI Audio, Microsoft Edge Speech),以满足不同地域和文化背景用户的需求。用户可以根据个人喜好或者特定场景来选择合适的语音,从而获得个性化的交流体验。 +在 Mr.🆖 AI 中,我们精心挑选了一系列高品质的声音选项 (OpenAI Audio, Microsoft Edge Speech),以满足不同地域和文化背景用户的需求。用户可以根据个人喜好或者特定场景来选择合适的语音,从而获得个性化的交流体验。
@@ -247,7 +247,7 @@ LobeChat 支持文字转语音(Text-to-Speech,TTS)和语音转文字(Spe ### `6` [Text to Image 文生图][docs-feat-t2i] -支持最新的文本到图片生成技术,LobeChat 现在能够让用户在与助手对话中直接调用文生图工具进行创作。 +支持最新的文本到图片生成技术,Mr.🆖 AI 现在能够让用户在与助手对话中直接调用文生图工具进行创作。 通过利用 [`DALL-E 3`](https://openai.com/dall-e-3)、[`MidJourney`](https://www.midjourney.com/) 和 [`Pollinations`](https://pollinations.ai/) 等 AI 工具的能力, 助手们现在可以将你的想法转化为图像。 同时可以更私密和沉浸式地完成你的创作过程。 @@ -261,7 +261,7 @@ LobeChat 支持文字转语音(Text-to-Speech,TTS)和语音转文字(Spe ### `7` [插件系统 (Tools Calling)][docs-feat-plugin] -LobeChat 的插件生态系统是其核心功能的重要扩展,它极大地增强了 ChatGPT 的实用性和灵活性。 +Mr.🆖 AI 的插件生态系统是其核心功能的重要扩展,它极大地增强了 ChatGPT 的实用性和灵活性。 @@ -275,12 +275,12 @@ LobeChat 的插件生态系统是其核心功能的重要扩展,它极大地 | 最近新增 | 描述 | | ---------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------- | -| [MintbaseSearch](https://lobechat.com/discover/plugin/mintbasesearch)
By **mintbase** on **2024-12-31** | 在 NEAR 协议上查找任何 NFT 数据。
`加密货币` `nft` | -| [PortfolioMeta](https://lobechat.com/discover/plugin/StockData)
By **portfoliometa** on **2024-12-22** | 分析股票并获取全面的实时投资数据和分析。
`股票` | -| [谷歌自定义搜索引擎](https://lobechat.com/discover/plugin/google-cse)
By **vsnthdev** on **2024-12-02** | 通过他们的官方自定义搜索引擎 API 搜索谷歌。
`网络` `搜索` | -| [Speak](https://lobechat.com/discover/plugin/speak)
By **speak** on **2024-12-02** | 使用 Speak,您的 AI 语言导师,学习如何用另一种语言说任何事情。
`教育` `语言` | +| [MintbaseSearch](https://Mr.🆖 AI.com/discover/plugin/mintbasesearch)
By **mintbase** on **2024-12-31** | 在 NEAR 协议上查找任何 NFT 数据。
`加密货币` `nft` | +| [PortfolioMeta](https://Mr.🆖 AI.com/discover/plugin/StockData)
By **portfoliometa** on **2024-12-22** | 分析股票并获取全面的实时投资数据和分析。
`股票` | +| [谷歌自定义搜索引擎](https://Mr.🆖 AI.com/discover/plugin/google-cse)
By **vsnthdev** on **2024-12-02** | 通过他们的官方自定义搜索引擎 API 搜索谷歌。
`网络` `搜索` | +| [Speak](https://Mr.🆖 AI.com/discover/plugin/speak)
By **speak** on **2024-12-02** | 使用 Speak,您的 AI 语言导师,学习如何用另一种语言说任何事情。
`教育` `语言` | -> 📊 Total plugins: [**48**](https://lobechat.com/discover/plugins) +> 📊 Total plugins: [**48**](https://Mr.🆖 AI.com/discover/plugins) @@ -294,12 +294,12 @@ LobeChat 的插件生态系统是其核心功能的重要扩展,它极大地 ### `8` [助手市场 (GPTs)][docs-feat-agent] -在 LobeChat 的助手市场中,创作者们可以发现一个充满活力和创新的社区,它汇聚了众多精心设计的助手,这些助手不仅在工作场景中发挥着重要作用,也在学习过程中提供了极大的便利。 +在 Mr.🆖 AI 的助手市场中,创作者们可以发现一个充满活力和创新的社区,它汇聚了众多精心设计的助手,这些助手不仅在工作场景中发挥着重要作用,也在学习过程中提供了极大的便利。 我们的市场不仅是一个展示平台,更是一个协作的空间。在这里,每个人都可以贡献自己的智慧,分享个人开发的助手。 > \[!TIP] > -> 通过 [🤖/🏪 提交助手][submit-agents-link] ,你可以轻松地将你的助手作品提交到我们的平台。我们特别强调的是,LobeChat 建立了一套精密的自动化国际化(i18n)工作流程, 它的强大之处在于能够无缝地将你的助手转化为多种语言版本。 +> 通过 [🤖/🏪 提交助手][submit-agents-link] ,你可以轻松地将你的助手作品提交到我们的平台。我们特别强调的是,Mr.🆖 AI 建立了一套精密的自动化国际化(i18n)工作流程, 它的强大之处在于能够无缝地将你的助手转化为多种语言版本。 > 这意味着,不论你的用户使用何种语言,他们都能无障碍地体验到你的助手。 > \[!IMPORTANT] @@ -310,12 +310,12 @@ LobeChat 的插件生态系统是其核心功能的重要扩展,它极大地 | 最近新增 | 描述 | | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------- | -| [系统指令专家](https://lobechat.com/discover/assistant/instructer)
By **[yuyun2000](https://github.com/yuyun2000)** on **2024-12-04** | 擅长精炼与生成高效系统指令
`系统指令` `写作` `细节优化` `用户需求` | -| [日语帮助记忆师](https://lobechat.com/discover/assistant/japan-language-helper)
By **[sharkbear212](https://github.com/sharkbear212)** on **2024-12-04** | 擅长日语五十音,平假名,片假名,单词和短语解释与记忆技巧
`解释` `记忆技巧` `日语教学` | -| [诗词卡片设计师](https://lobechat.com/discover/assistant/poetry-card-designer)
By **[lianxin255](https://github.com/lianxin255)** on **2024-12-03** | 擅长设计诗词卡片,提升艺术感与吸引力
`诗词卡片设计` `卡片` `创意` `艺术表现` | -| [日常医生](https://lobechat.com/discover/assistant/yunchat-docter)
By **[yuyun2000](https://github.com/yuyun2000)** on **2024-11-30** | 擅长外科诊疗与个性化健康管理
`全科医学` `外科` `健康咨询` `个性化治疗` `医学教育` | +| [系统指令专家](https://Mr.🆖 AI.com/discover/assistant/instructer)
By **[yuyun2000](https://github.com/yuyun2000)** on **2024-12-04** | 擅长精炼与生成高效系统指令
`系统指令` `写作` `细节优化` `用户需求` | +| [日语帮助记忆师](https://Mr.🆖 AI.com/discover/assistant/japan-language-helper)
By **[sharkbear212](https://github.com/sharkbear212)** on **2024-12-04** | 擅长日语五十音,平假名,片假名,单词和短语解释与记忆技巧
`解释` `记忆技巧` `日语教学` | +| [诗词卡片设计师](https://Mr.🆖 AI.com/discover/assistant/poetry-card-designer)
By **[lianxin255](https://github.com/lianxin255)** on **2024-12-03** | 擅长设计诗词卡片,提升艺术感与吸引力
`诗词卡片设计` `卡片` `创意` `艺术表现` | +| [日常医生](https://Mr.🆖 AI.com/discover/assistant/yunchat-docter)
By **[yuyun2000](https://github.com/yuyun2000)** on **2024-11-30** | 擅长外科诊疗与个性化健康管理
`全科医学` `外科` `健康咨询` `个性化治疗` `医学教育` | -> 📊 Total agents: [**453** ](https://lobechat.com/discover/assistants) +> 📊 Total agents: [**453** ](https://Mr.🆖 AI.com/discover/assistants) @@ -329,12 +329,12 @@ LobeChat 的插件生态系统是其核心功能的重要扩展,它极大地 ### `9` [支持本地 / 远程数据库][docs-feat-database] -LobeChat 支持同时使用服务端数据库和本地数据库。根据您的需求,您可以选择合适的部署方案: +Mr.🆖 AI 支持同时使用服务端数据库和本地数据库。根据您的需求,您可以选择合适的部署方案: -- 本地数据库:适合希望对数据有更多掌控感和隐私保护的用户。LobeChat 采用了 CRDT (Conflict-Free Replicated Data Type) 技术,实现了多端同步功能。这是一项实验性功能,旨在提供无缝的数据同步体验。 -- 服务端数据库:适合希望更便捷使用体验的用户。LobeChat 支持 PostgreSQL 作为服务端数据库。关于如何配置服务端数据库的详细文档,请前往 [配置服务端数据库](https://lobehub.com/zh/docs/self-hosting/advanced/server-database)。 +- 本地数据库:适合希望对数据有更多掌控感和隐私保护的用户。Mr.🆖 AI 采用了 CRDT (Conflict-Free Replicated Data Type) 技术,实现了多端同步功能。这是一项实验性功能,旨在提供无缝的数据同步体验。 +- 服务端数据库:适合希望更便捷使用体验的用户。Mr.🆖 AI 支持 PostgreSQL 作为服务端数据库。关于如何配置服务端数据库的详细文档,请前往 [配置服务端数据库](https://lobehub.com/zh/docs/self-hosting/advanced/server-database)。 -无论您选择哪种数据库,LobeChat 都能为您提供卓越的用户体验。 +无论您选择哪种数据库,Mr.🆖 AI 都能为您提供卓越的用户体验。
@@ -346,11 +346,11 @@ LobeChat 支持同时使用服务端数据库和本地数据库。根据您的 ### `10` [支持多用户管理][docs-feat-auth] -LobeChat 支持多用户管理,提供了两种主要的用户认证和管理方案,以满足不同需求: +Mr.🆖 AI 支持多用户管理,提供了两种主要的用户认证和管理方案,以满足不同需求: -- **next-auth**:LobeChat 集成了 `next-auth`,一个灵活且强大的身份验证库,支持多种身份验证方式,包括 OAuth、邮件登录、凭证登录等。通过 `next-auth`,您可以轻松实现用户的注册、登录、会话管理以及社交登录等功能,确保用户数据的安全性和隐私性。 +- **next-auth**:Mr.🆖 AI 集成了 `next-auth`,一个灵活且强大的身份验证库,支持多种身份验证方式,包括 OAuth、邮件登录、凭证登录等。通过 `next-auth`,您可以轻松实现用户的注册、登录、会话管理以及社交登录等功能,确保用户数据的安全性和隐私性。 -- [**Clerk**](https://go.clerk.com/exgqLG0):对于需要更高级用户管理功能的用户,LobeChat 还支持 `Clerk`,一个现代化的用户管理平台。`Clerk` 提供了更丰富的功能,如多因素认证 (MFA)、白名单、用户管理、登录活动监控等。通过 `Clerk`,您可以获得更高的安全性和灵活性,轻松应对生产级的用户管理需求。 +- [**Clerk**](https://go.clerk.com/exgqLG0):对于需要更高级用户管理功能的用户,Mr.🆖 AI 还支持 `Clerk`,一个现代化的用户管理平台。`Clerk` 提供了更丰富的功能,如多因素认证 (MFA)、白名单、用户管理、登录活动监控等。通过 `Clerk`,您可以获得更高的安全性和灵活性,轻松应对生产级的用户管理需求。 您可以根据自己的需求,选择合适的用户管理方案。 @@ -365,15 +365,15 @@ LobeChat 支持多用户管理,提供了两种主要的用户认证和管理 ### `11` [渐进式 Web 应用 (PWA)][docs-feat-pwa] 我们深知在当今多设备环境下为用户提供无缝体验的重要性。为此,我们采用了渐进式 Web 应用 [PWA](https://support.google.com/chrome/answer/9658361) 技术, -这是一种能够将网页应用提升至接近原生应用体验的现代 Web 技术。通过 PWA,LobeChat 能够在桌面和移动设备上提供高度优化的用户体验,同时保持轻量级和高性能的特点。 +这是一种能够将网页应用提升至接近原生应用体验的现代 Web 技术。通过 PWA,Mr.🆖 AI 能够在桌面和移动设备上提供高度优化的用户体验,同时保持轻量级和高性能的特点。 在视觉和感觉上,我们也经过精心设计,以确保它的界面与原生应用无差别,提供流畅的动画、响应式布局和适配不同设备的屏幕分辨率。 > \[!NOTE] > -> 若您未熟悉 PWA 的安装过程,您可以按照以下步骤将 LobeChat 添加为您的桌面应用(也适用于移动设备): +> 若您未熟悉 PWA 的安装过程,您可以按照以下步骤将 Mr.🆖 AI 添加为您的桌面应用(也适用于移动设备): > > - 在电脑上运行 Chrome 或 Edge 浏览器 . -> - 访问 LobeChat 网页 . +> - 访问 Mr.🆖 AI 网页 . > - 在地址栏的右上角,单击 安装 图标 . > - 根据屏幕上的指示完成 PWA 的安装 . @@ -399,12 +399,12 @@ LobeChat 支持多用户管理,提供了两种主要的用户认证和管理 ### `13` [自定义主题][docs-feat-theme] -作为设计工程师出身,LobeChat 在界面设计上充分考虑用户的个性化体验,因此引入了灵活多变的主题模式,其中包括日间的亮色模式和夜间的深色模式。 -除了主题模式的切换,还提供了一系列的颜色定制选项,允许用户根据自己的喜好来调整应用的主题色彩。无论是想要沉稳的深蓝,还是希望活泼的桃粉,或者是专业的灰白,用户都能够在 LobeChat 中找到匹配自己风格的颜色选择。 +作为设计工程师出身,Mr.🆖 AI 在界面设计上充分考虑用户的个性化体验,因此引入了灵活多变的主题模式,其中包括日间的亮色模式和夜间的深色模式。 +除了主题模式的切换,还提供了一系列的颜色定制选项,允许用户根据自己的喜好来调整应用的主题色彩。无论是想要沉稳的深蓝,还是希望活泼的桃粉,或者是专业的灰白,用户都能够在 Mr.🆖 AI 中找到匹配自己风格的颜色选择。 > \[!TIP] > -> 默认配置能够智能地识别用户系统的颜色模式,自动进行主题切换,以确保应用界面与操作系统保持一致的视觉体验。对于喜欢手动调控细节的用户,LobeChat 同样提供了直观的设置选项,针对聊天场景也提供了对话气泡模式和文档模式的选择。 +> 默认配置能够智能地识别用户系统的颜色模式,自动进行主题切换,以确保应用界面与操作系统保持一致的视觉体验。对于喜欢手动调控细节的用户,Mr.🆖 AI 同样提供了直观的设置选项,针对聊天场景也提供了对话气泡模式和文档模式的选择。
@@ -414,7 +414,7 @@ LobeChat 支持多用户管理,提供了两种主要的用户认证和管理 ### 更多特性 -除了上述功能特性以外,LobeChat 所具有的设计和技术能力将为你带来更多使用保障: +除了上述功能特性以外,Mr.🆖 AI 所具有的设计和技术能力将为你带来更多使用保障: - [x] 💎 **精致 UI 设计**:经过精心设计的界面,具有优雅的外观和流畅的交互效果,支持亮暗色主题,适配移动端。支持 PWA,提供更加接近原生应用的体验。 - [x] 🗣️ **流畅的对话体验**:流式响应带来流畅的对话体验,并且支持完整的 Markdown 渲染,包括代码高亮、LaTex 公式、Mermaid 流程图等。 @@ -455,7 +455,7 @@ LobeChat 支持多用户管理,提供了两种主要的用户认证和管理 ## 🛳 开箱即用 -LobeChat 提供了 Vercel 的 自托管版本 和 [Docker 镜像][docker-release-link],这使你可以在几分钟内构建自己的聊天机器人,无需任何基础知识。 +Mr.🆖 AI 提供了 Vercel 的 自托管版本 和 [Docker 镜像][docker-release-link],这使你可以在几分钟内构建自己的聊天机器人,无需任何基础知识。 > \[!TIP] > @@ -498,7 +498,7 @@ LobeChat 提供了 Vercel 的 自托管版本 和 [Docker 镜像][docker-release [![][docker-size-shield]][docker-size-link] [![][docker-pulls-shield]][docker-pulls-link] -我们提供了 Docker 镜像,供你在自己的私有设备上部署 LobeChat 服务。使用以下命令即可使用一键启动 LobeChat 服务: +我们提供了 Docker 镜像,供你在自己的私有设备上部署 Mr.🆖 AI 服务。使用以下命令即可使用一键启动 Mr.🆖 AI 服务: ```fish $ docker run -d -p 3210:3210 \ @@ -546,7 +546,7 @@ $ docker run -d -p 3210:3210 \ ### 获取 OpenAI API Key -API Key 是使用 LobeChat 进行大语言模型会话的必要信息,本节以 OpenAI 模型服务商为例,简要介绍获取 API Key 的方式。 +API Key 是使用 Mr.🆖 AI 进行大语言模型会话的必要信息,本节以 OpenAI 模型服务商为例,简要介绍获取 API Key 的方式。 #### `A` 通过 OpenAI 官方渠道 @@ -557,7 +557,7 @@ API Key 是使用 LobeChat 进行大语言模型会话的必要信息,本节 | -------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------- | | | | | -- 将此 API Key 填写到 LobeChat 的 API Key 配置中,即可开始使用。 +- 将此 API Key 填写到 Mr.🆖 AI 的 API Key 配置中,即可开始使用。 > \[!TIP] > @@ -606,12 +606,12 @@ API Key 是使用 LobeChat 进行大语言模型会话的必要信息,本节 ## 🧩 插件体系 -插件提供了扩展 LobeChat [Function Calling][docs-functionc-call] 能力的方法。可以用于引入新的 Function Calling,甚至是新的消息结果渲染方式。如果你对插件开发感兴趣,请在 Wiki 中查阅我们的 [📘 插件开发指引][docs-plugin-dev] 。 +插件提供了扩展 Mr.🆖 AI [Function Calling][docs-functionc-call] 能力的方法。可以用于引入新的 Function Calling,甚至是新的消息结果渲染方式。如果你对插件开发感兴趣,请在 Wiki 中查阅我们的 [📘 插件开发指引][docs-plugin-dev] 。 - [lobe-chat-plugins][lobe-chat-plugins]:插件索引从该仓库的 index.json 中获取插件列表并显示给用户。 - [chat-plugin-template][chat-plugin-template]:插件开发模版,你可以通过项目模版快速新建插件项目。 - [@lobehub/chat-plugin-sdk][chat-plugin-sdk]:插件 SDK 可帮助您创建出色的 Lobe Chat 插件。 -- [@lobehub/chat-plugins-gateway][chat-plugins-gateway]:插件网关是一个后端服务,作为 LobeChat 插件的网关。我们使用 Vercel 部署此服务。主要的 API POST /api/v1/runner 被部署为 Edge Function。 +- [@lobehub/chat-plugins-gateway][chat-plugins-gateway]:插件网关是一个后端服务,作为 Mr.🆖 AI 插件的网关。我们使用 Vercel 部署此服务。主要的 API POST /api/v1/runner 被部署为 Edge Function。 > \[!NOTE] > @@ -657,7 +657,7 @@ $ pnpm run dev > \[!TIP] > > 我们希望创建一个技术分享型社区,一个可以促进知识共享、想法交流,激发彼此鼓励和协作的环境。 -> 同时欢迎联系我们提供产品功能和使用体验反馈,帮助我们将 LobeChat 建设得更好。 +> 同时欢迎联系我们提供产品功能和使用体验反馈,帮助我们将 Mr.🆖 AI 建设得更好。 > > **组织维护者:** [@arvinxx](https://github.com/arvinxx) [@canisminor1990](https://github.com/canisminor1990) @@ -763,7 +763,7 @@ This project is [Apache 2.0](./LICENSE) licensed. [deploy-button-image]: https://vercel.com/button [deploy-link]: https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat&env=OPENAI_API_KEY,ACCESS_CODE&envDescription=Find%20your%20OpenAI%20API%20Key%20by%20click%20the%20right%20Learn%20More%20button.%20%7C%20Access%20Code%20can%20protect%20your%20website&envLink=https%3A%2F%2Fplatform.openai.com%2Faccount%2Fapi-keys&project-name=lobe-chat&repository-name=lobe-chat [deploy-on-alibaba-cloud-button-image]: https://service-info-public.oss-cn-hangzhou.aliyuncs.com/computenest-en.svg -[deploy-on-alibaba-cloud-link]: https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=LobeChat%E7%A4%BE%E5%8C%BA%E7%89%88 +[deploy-on-alibaba-cloud-link]: https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Mr.🆖 AI%E7%A4%BE%E5%8C%BA%E7%89%88 [deploy-on-sealos-button-image]: https://raw.githubusercontent.com/labring-actions/templates/main/Deploy-on-Sealos.svg [deploy-on-sealos-link]: https://cloud.sealos.io/?openapp=system-template%3FtemplateName%3Dlobe-chat [deploy-on-zeabur-button-image]: https://zeabur.com/button.svg @@ -864,17 +864,17 @@ This project is [Apache 2.0](./LICENSE) licensed. [pr-welcome-link]: https://github.com/lobehub/lobe-chat/pulls [pr-welcome-shield]: https://img.shields.io/badge/🤯_pr_welcome-%E2%86%92-ffcb47?labelColor=black&style=for-the-badge [profile-link]: https://github.com/lobehub -[share-mastodon-link]: https://mastodon.social/share?text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20LobeChat%20-%20An%20open-source,%20extensible%20(Function%20Calling),%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT/LLM%20web%20application.%20https://github.com/lobehub/lobe-chat%20#chatbot%20#chatGPT%20#openAI +[share-mastodon-link]: https://mastodon.social/share?text=Check%20this%20GitHub%20repository%20out%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20An%20open-source,%20extensible%20(Function%20Calling),%20high-performance%20chatbot%20framework.%20It%20supports%20one-click%20free%20deployment%20of%20your%20private%20ChatGPT/LLM%20web%20application.%20https://github.com/lobehub/lobe-chat%20#chatbot%20#chatGPT%20#openAI [share-mastodon-shield]: https://img.shields.io/badge/-share%20on%20mastodon-black?labelColor=black&logo=mastodon&logoColor=white&style=flat-square -[share-reddit-link]: https://www.reddit.com/submit?title=%E6%8E%A8%E8%8D%90%E4%B8%80%E4%B8%AA%20GitHub%20%E5%BC%80%E6%BA%90%E9%A1%B9%E7%9B%AE%20%F0%9F%A4%AF%20LobeChat%20-%20%E5%BC%80%E6%BA%90%E7%9A%84%E3%80%81%E5%8F%AF%E6%89%A9%E5%B1%95%E7%9A%84%EF%BC%88Function%20Calling%EF%BC%89%E9%AB%98%E6%80%A7%E8%83%BD%E8%81%8A%E5%A4%A9%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%A1%86%E6%9E%B6%E3%80%82%0A%E5%AE%83%E6%94%AF%E6%8C%81%E4%B8%80%E9%94%AE%E5%85%8D%E8%B4%B9%E9%83%A8%E7%BD%B2%E7%A7%81%E4%BA%BA%20ChatGPT%2FLLM%20%E7%BD%91%E9%A1%B5%E5%BA%94%E7%94%A8%E7%A8%8B%E5%BA%8F%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat +[share-reddit-link]: https://www.reddit.com/submit?title=%E6%8E%A8%E8%8D%90%E4%B8%80%E4%B8%AA%20GitHub%20%E5%BC%80%E6%BA%90%E9%A1%B9%E7%9B%AE%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20%E5%BC%80%E6%BA%90%E7%9A%84%E3%80%81%E5%8F%AF%E6%89%A9%E5%B1%95%E7%9A%84%EF%BC%88Function%20Calling%EF%BC%89%E9%AB%98%E6%80%A7%E8%83%BD%E8%81%8A%E5%A4%A9%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%A1%86%E6%9E%B6%E3%80%82%0A%E5%AE%83%E6%94%AF%E6%8C%81%E4%B8%80%E9%94%AE%E5%85%8D%E8%B4%B9%E9%83%A8%E7%BD%B2%E7%A7%81%E4%BA%BA%20ChatGPT%2FLLM%20%E7%BD%91%E9%A1%B5%E5%BA%94%E7%94%A8%E7%A8%8B%E5%BA%8F%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat [share-reddit-shield]: https://img.shields.io/badge/-share%20on%20reddit-black?labelColor=black&logo=reddit&logoColor=white&style=flat-square -[share-telegram-link]: https://t.me/share/url"?text=%E6%8E%A8%E8%8D%90%E4%B8%80%E4%B8%AA%20GitHub%20%E5%BC%80%E6%BA%90%E9%A1%B9%E7%9B%AE%20%F0%9F%A4%AF%20LobeChat%20-%20%E5%BC%80%E6%BA%90%E7%9A%84%E3%80%81%E5%8F%AF%E6%89%A9%E5%B1%95%E7%9A%84%EF%BC%88Function%20Calling%EF%BC%89%E9%AB%98%E6%80%A7%E8%83%BD%E8%81%8A%E5%A4%A9%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%A1%86%E6%9E%B6%E3%80%82%0A%E5%AE%83%E6%94%AF%E6%8C%81%E4%B8%80%E9%94%AE%E5%85%8D%E8%B4%B9%E9%83%A8%E7%BD%B2%E7%A7%81%E4%BA%BA%20ChatGPT%2FLLM%20%E7%BD%91%E9%A1%B5%E5%BA%94%E7%94%A8%E7%A8%8B%E5%BA%8F%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat +[share-telegram-link]: https://t.me/share/url"?text=%E6%8E%A8%E8%8D%90%E4%B8%80%E4%B8%AA%20GitHub%20%E5%BC%80%E6%BA%90%E9%A1%B9%E7%9B%AE%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20%E5%BC%80%E6%BA%90%E7%9A%84%E3%80%81%E5%8F%AF%E6%89%A9%E5%B1%95%E7%9A%84%EF%BC%88Function%20Calling%EF%BC%89%E9%AB%98%E6%80%A7%E8%83%BD%E8%81%8A%E5%A4%A9%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%A1%86%E6%9E%B6%E3%80%82%0A%E5%AE%83%E6%94%AF%E6%8C%81%E4%B8%80%E9%94%AE%E5%85%8D%E8%B4%B9%E9%83%A8%E7%BD%B2%E7%A7%81%E4%BA%BA%20ChatGPT%2FLLM%20%E7%BD%91%E9%A1%B5%E5%BA%94%E7%94%A8%E7%A8%8B%E5%BA%8F%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat [share-telegram-shield]: https://img.shields.io/badge/-share%20on%20telegram-black?labelColor=black&logo=telegram&logoColor=white&style=flat-square -[share-weibo-link]: http://service.weibo.com/share/share.php?sharesource=weibo&title=%E6%8E%A8%E8%8D%90%E4%B8%80%E4%B8%AA%20GitHub%20%E5%BC%80%E6%BA%90%E9%A1%B9%E7%9B%AE%20%F0%9F%A4%AF%20LobeChat%20-%20%E5%BC%80%E6%BA%90%E7%9A%84%E3%80%81%E5%8F%AF%E6%89%A9%E5%B1%95%E7%9A%84%EF%BC%88Function%20Calling%EF%BC%89%E9%AB%98%E6%80%A7%E8%83%BD%E8%81%8A%E5%A4%A9%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%A1%86%E6%9E%B6%E3%80%82%0A%E5%AE%83%E6%94%AF%E6%8C%81%E4%B8%80%E9%94%AE%E5%85%8D%E8%B4%B9%E9%83%A8%E7%BD%B2%E7%A7%81%E4%BA%BA%20ChatGPT%2FLLM%20%E7%BD%91%E9%A1%B5%E5%BA%94%E7%94%A8%E7%A8%8B%E5%BA%8F%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat +[share-weibo-link]: http://service.weibo.com/share/share.php?sharesource=weibo&title=%E6%8E%A8%E8%8D%90%E4%B8%80%E4%B8%AA%20GitHub%20%E5%BC%80%E6%BA%90%E9%A1%B9%E7%9B%AE%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20%E5%BC%80%E6%BA%90%E7%9A%84%E3%80%81%E5%8F%AF%E6%89%A9%E5%B1%95%E7%9A%84%EF%BC%88Function%20Calling%EF%BC%89%E9%AB%98%E6%80%A7%E8%83%BD%E8%81%8A%E5%A4%A9%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%A1%86%E6%9E%B6%E3%80%82%0A%E5%AE%83%E6%94%AF%E6%8C%81%E4%B8%80%E9%94%AE%E5%85%8D%E8%B4%B9%E9%83%A8%E7%BD%B2%E7%A7%81%E4%BA%BA%20ChatGPT%2FLLM%20%E7%BD%91%E9%A1%B5%E5%BA%94%E7%94%A8%E7%A8%8B%E5%BA%8F%20%23chatbot%20%23chatGPT%20%23openAI&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat [share-weibo-shield]: https://img.shields.io/badge/-share%20on%20weibo-black?labelColor=black&logo=sinaweibo&logoColor=white&style=flat-square -[share-whatsapp-link]: https://api.whatsapp.com/send?text=%E6%8E%A8%E8%8D%90%E4%B8%80%E4%B8%AA%20GitHub%20%E5%BC%80%E6%BA%90%E9%A1%B9%E7%9B%AE%20%F0%9F%A4%AF%20LobeChat%20-%20%E5%BC%80%E6%BA%90%E7%9A%84%E3%80%81%E5%8F%AF%E6%89%A9%E5%B1%95%E7%9A%84%EF%BC%88Function%20Calling%EF%BC%89%E9%AB%98%E6%80%A7%E8%83%BD%E8%81%8A%E5%A4%A9%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%A1%86%E6%9E%B6%E3%80%82%0A%E5%AE%83%E6%94%AF%E6%8C%81%E4%B8%80%E9%94%AE%E5%85%8D%E8%B4%B9%E9%83%A8%E7%BD%B2%E7%A7%81%E4%BA%BA%20ChatGPT%2FLLM%20%E7%BD%91%E9%A1%B5%E5%BA%94%E7%94%A8%E7%A8%8B%E5%BA%8F%20https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat%20%23chatbot%20%23chatGPT%20%23openAI +[share-whatsapp-link]: https://api.whatsapp.com/send?text=%E6%8E%A8%E8%8D%90%E4%B8%80%E4%B8%AA%20GitHub%20%E5%BC%80%E6%BA%90%E9%A1%B9%E7%9B%AE%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20%E5%BC%80%E6%BA%90%E7%9A%84%E3%80%81%E5%8F%AF%E6%89%A9%E5%B1%95%E7%9A%84%EF%BC%88Function%20Calling%EF%BC%89%E9%AB%98%E6%80%A7%E8%83%BD%E8%81%8A%E5%A4%A9%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%A1%86%E6%9E%B6%E3%80%82%0A%E5%AE%83%E6%94%AF%E6%8C%81%E4%B8%80%E9%94%AE%E5%85%8D%E8%B4%B9%E9%83%A8%E7%BD%B2%E7%A7%81%E4%BA%BA%20ChatGPT%2FLLM%20%E7%BD%91%E9%A1%B5%E5%BA%94%E7%94%A8%E7%A8%8B%E5%BA%8F%20https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat%20%23chatbot%20%23chatGPT%20%23openAI [share-whatsapp-shield]: https://img.shields.io/badge/-share%20on%20whatsapp-black?labelColor=black&logo=whatsapp&logoColor=white&style=flat-square -[share-x-link]: https://x.com/intent/tweet?hashtags=chatbot%2CchatGPT%2CopenAI&text=%E6%8E%A8%E8%8D%90%E4%B8%80%E4%B8%AA%20GitHub%20%E5%BC%80%E6%BA%90%E9%A1%B9%E7%9B%AE%20%F0%9F%A4%AF%20LobeChat%20-%20%E5%BC%80%E6%BA%90%E7%9A%84%E3%80%81%E5%8F%AF%E6%89%A9%E5%B1%95%E7%9A%84%EF%BC%88Function%20Calling%EF%BC%89%E9%AB%98%E6%80%A7%E8%83%BD%E8%81%8A%E5%A4%A9%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%A1%86%E6%9E%B6%E3%80%82%0A%E5%AE%83%E6%94%AF%E6%8C%81%E4%B8%80%E9%94%AE%E5%85%8D%E8%B4%B9%E9%83%A8%E7%BD%B2%E7%A7%81%E4%BA%BA%20ChatGPT%2FLLM%20%E7%BD%91%E9%A1%B5%E5%BA%94%E7%94%A8%E7%A8%8B%E5%BA%8F&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat +[share-x-link]: https://x.com/intent/tweet?hashtags=chatbot%2CchatGPT%2CopenAI&text=%E6%8E%A8%E8%8D%90%E4%B8%80%E4%B8%AA%20GitHub%20%E5%BC%80%E6%BA%90%E9%A1%B9%E7%9B%AE%20%F0%9F%A4%AF%20Mr.🆖 AI%20-%20%E5%BC%80%E6%BA%90%E7%9A%84%E3%80%81%E5%8F%AF%E6%89%A9%E5%B1%95%E7%9A%84%EF%BC%88Function%20Calling%EF%BC%89%E9%AB%98%E6%80%A7%E8%83%BD%E8%81%8A%E5%A4%A9%E6%9C%BA%E5%99%A8%E4%BA%BA%E6%A1%86%E6%9E%B6%E3%80%82%0A%E5%AE%83%E6%94%AF%E6%8C%81%E4%B8%80%E9%94%AE%E5%85%8D%E8%B4%B9%E9%83%A8%E7%BD%B2%E7%A7%81%E4%BA%BA%20ChatGPT%2FLLM%20%E7%BD%91%E9%A1%B5%E5%BA%94%E7%94%A8%E7%A8%8B%E5%BA%8F&url=https%3A%2F%2Fgithub.com%2Flobehub%2Flobe-chat [share-x-shield]: https://img.shields.io/badge/-share%20on%20x-black?labelColor=black&logo=x&logoColor=white&style=flat-square [sponsor-link]: https://opencollective.com/lobehub 'Become ❤ LobeHub Sponsor' [sponsor-shield]: https://img.shields.io/badge/-Sponsor%20LobeHub-f04f88?logo=opencollective&logoColor=white&style=flat-square @@ -884,4 +884,4 @@ This project is [Apache 2.0](./LICENSE) licensed. [submit-plugin-shield]: https://img.shields.io/badge/🧩/🏪_submit_plugin-%E2%86%92-95f3d9?labelColor=black&style=for-the-badge [vercel-link]: https://chat-preview.lobehub.com [vercel-shield]: https://img.shields.io/badge/vercel-online-55b467?labelColor=black&logo=vercel&style=flat-square -[vercel-shield-badge]: https://img.shields.io/badge/TRY%20LOBECHAT-ONLINE-55b467?labelColor=black&logo=vercel&style=for-the-badge +[vercel-shield-badge]: https://img.shields.io/badge/TRY%20Mr.🆖 AI-ONLINE-55b467?labelColor=black&logo=vercel&style=for-the-badge diff --git a/changelog/v1.json b/changelog/v1.json index d5cdbc578901..4efc7f904ac9 100644 --- a/changelog/v1.json +++ b/changelog/v1.json @@ -3396,10 +3396,10 @@ }, { "children": { - "features": ["Release LobeChat 1.0."], + "features": ["Release Mr.🆖 AI 1.0."], "improvements": [ "Bump version.", - "Release LobeChat 1.0, closes #2897 (97bb377)", + "Release Mr.🆖 AI 1.0, closes #2897 (97bb377)", "Bump version, closes #2896 (6e2d03b)", "Update LICENSE to Apache 2.0", "update to 1.0.0" diff --git a/contributing/Basic/Add-New-Authentication-Providers.md b/contributing/Basic/Add-New-Authentication-Providers.md index e531c495e9b2..626abacb462b 100644 --- a/contributing/Basic/Add-New-Authentication-Providers.md +++ b/contributing/Basic/Add-New-Authentication-Providers.md @@ -1,6 +1,6 @@ # New Authentication Provider Guide -LobeChat uses [Auth.js v5](https://authjs.dev/) as the external authentication service. Auth.js is an open-source authentication library that provides a simple way to implement authentication and authorization features. This document will introduce how to use Auth.js to implement a new authentication provider. +Mr.🆖 AI uses [Auth.js v5](https://authjs.dev/) as the external authentication service. Auth.js is an open-source authentication library that provides a simple way to implement authentication and authorization features. This document will introduce how to use Auth.js to implement a new authentication provider. ### TOC @@ -14,7 +14,7 @@ LobeChat uses [Auth.js v5](https://authjs.dev/) as the external authentication s ## Add New Authentication Provider -To add a new authentication provider in LobeChat (for example, adding Okta), you need to follow the steps below: +To add a new authentication provider in Mr.🆖 AI (for example, adding Okta), you need to follow the steps below: ### Pre-requisites: Check the Official Provider List @@ -190,4 +190,4 @@ If you have configured multiple authentication providers and their `userId` mapp } ``` -Now, you can use Okta as your provider to implement the authentication feature in LobeChat. +Now, you can use Okta as your provider to implement the authentication feature in Mr.🆖 AI. diff --git a/contributing/Basic/Add-New-Authentication-Providers.zh-CN.md b/contributing/Basic/Add-New-Authentication-Providers.zh-CN.md index 20d31ea645aa..b0f1e662f641 100644 --- a/contributing/Basic/Add-New-Authentication-Providers.zh-CN.md +++ b/contributing/Basic/Add-New-Authentication-Providers.zh-CN.md @@ -1,6 +1,6 @@ # 新身份验证方式开发指南 -LobeChat 使用 [Auth.js v5](https://authjs.dev/) 作为外部身份验证服务。Auth.js 是一个开源的身份验证库,它提供了一种简单的方式来实现身份验证和授权功能。本文档将介绍如何使用 Auth.js 来实现新的身份验证方式。 +Mr.🆖 AI 使用 [Auth.js v5](https://authjs.dev/) 作为外部身份验证服务。Auth.js 是一个开源的身份验证库,它提供了一种简单的方式来实现身份验证和授权功能。本文档将介绍如何使用 Auth.js 来实现新的身份验证方式。 ### TOC @@ -14,7 +14,7 @@ LobeChat 使用 [Auth.js v5](https://authjs.dev/) 作为外部身份验证服务 ## 添加新的身份验证提供者 -为了在 LobeChat 中添加新的身份验证提供者(例如添加 Okta),你需要完成以下步骤: +为了在 Mr.🆖 AI 中添加新的身份验证提供者(例如添加 Okta),你需要完成以下步骤: ### 准备工作:查阅官方的提供者列表 diff --git a/contributing/Basic/Architecture.md b/contributing/Basic/Architecture.md index dd812bd555c5..f83c2d5ebdae 100644 --- a/contributing/Basic/Architecture.md +++ b/contributing/Basic/Architecture.md @@ -1,6 +1,6 @@ # Architecture Design -LobeChat is an AI conversation application built on the Next.js framework, aiming to provide an AI productivity platform that enables users to interact with AI through natural language. The following is an overview of the architecture design of LobeChat: +Mr.🆖 AI is an AI conversation application built on the Next.js framework, aiming to provide an AI productivity platform that enables users to interact with AI through natural language. The following is an overview of the architecture design of Mr.🆖 AI: #### TOC @@ -14,34 +14,34 @@ LobeChat is an AI conversation application built on the Next.js framework, aimin ## Application Architecture Overview -The overall architecture of LobeChat consists of the frontend, EdgeRuntime API, Agents Market, Plugin Market, and independent plugins. These components collaborate to provide a complete AI experience. +The overall architecture of Mr.🆖 AI consists of the frontend, EdgeRuntime API, Agents Market, Plugin Market, and independent plugins. These components collaborate to provide a complete AI experience. ## Frontend Architecture -The frontend of LobeChat adopts the Next.js framework, leveraging its powerful server-side rendering (SSR) capability and routing functionality. The frontend utilizes a stack of technologies, including the antd component library, lobe-ui AIGC component library, zustand state management, swr request library, i18next internationalization library, and more. These technologies collectively support the functionality and features of LobeChat. +The frontend of Mr.🆖 AI adopts the Next.js framework, leveraging its powerful server-side rendering (SSR) capability and routing functionality. The frontend utilizes a stack of technologies, including the antd component library, lobe-ui AIGC component library, zustand state management, swr request library, i18next internationalization library, and more. These technologies collectively support the functionality and features of Mr.🆖 AI. The components in the frontend architecture include app, components, config, const, features, helpers, hooks, layout, locales, migrations, prompts, services, store, styles, types, and utils. Each component has specific responsibilities and collaborates with others to achieve different functionalities. ## Edge Runtime API -The Edge Runtime API is one of the core components of LobeChat, responsible for handling the core logic of AI conversations. It provides interaction interfaces with the AI engine, including natural language processing, intent recognition, and response generation. The EdgeRuntime API communicates with the frontend, receiving user input and returning corresponding responses. +The Edge Runtime API is one of the core components of Mr.🆖 AI, responsible for handling the core logic of AI conversations. It provides interaction interfaces with the AI engine, including natural language processing, intent recognition, and response generation. The EdgeRuntime API communicates with the frontend, receiving user input and returning corresponding responses. ## Agents Market -The Agents Market is a crucial part of LobeChat, providing various AI agents for different scenarios to handle specific tasks and domains. The Agents Market also offers functionality for discovering and uploading agents, allowing users to find agents created by others and easily share their own agents in the market. +The Agents Market is a crucial part of Mr.🆖 AI, providing various AI agents for different scenarios to handle specific tasks and domains. The Agents Market also offers functionality for discovering and uploading agents, allowing users to find agents created by others and easily share their own agents in the market. ## Plugin Market -The Plugin Market is another key component of LobeChat, offering various plugins to extend the functionality and features of LobeChat. Plugins can be independent functional modules or integrated with agents from the Agents Market. During conversations, the assistant automatically identifies user input, recognizes suitable plugins, and passes them to the corresponding plugins for processing and returns the results. +The Plugin Market is another key component of Mr.🆖 AI, offering various plugins to extend the functionality and features of Mr.🆖 AI. Plugins can be independent functional modules or integrated with agents from the Agents Market. During conversations, the assistant automatically identifies user input, recognizes suitable plugins, and passes them to the corresponding plugins for processing and returns the results. ## Security and Performance Optimization -LobeChat's security strategy includes authentication and permission management. Users need to authenticate before using LobeChat, and operations are restricted based on the user's permissions. +Mr.🆖 AI's security strategy includes authentication and permission management. Users need to authenticate before using Mr.🆖 AI, and operations are restricted based on the user's permissions. -To optimize performance, LobeChat utilizes Next.js SSR functionality to achieve fast page loading and response times. Additionally, a series of performance optimization measures are implemented, including code splitting, caching, and resource compression. +To optimize performance, Mr.🆖 AI utilizes Next.js SSR functionality to achieve fast page loading and response times. Additionally, a series of performance optimization measures are implemented, including code splitting, caching, and resource compression. ## Development and Deployment Process -LobeChat's development process includes version control, testing, continuous integration, and continuous deployment. The development team uses version control systems for code management and conducts unit and integration testing to ensure code quality. Continuous integration and deployment processes ensure rapid delivery and deployment of code. +Mr.🆖 AI's development process includes version control, testing, continuous integration, and continuous deployment. The development team uses version control systems for code management and conducts unit and integration testing to ensure code quality. Continuous integration and deployment processes ensure rapid delivery and deployment of code. -The above is a brief introduction to the architecture design of LobeChat, detailing the responsibilities and collaboration of each component, as well as the impact of design decisions on application functionality and performance. +The above is a brief introduction to the architecture design of Mr.🆖 AI, detailing the responsibilities and collaboration of each component, as well as the impact of design decisions on application functionality and performance. diff --git a/contributing/Basic/Architecture.zh-CN.md b/contributing/Basic/Architecture.zh-CN.md index 865a48c45bb9..f83d8aec949d 100644 --- a/contributing/Basic/Architecture.zh-CN.md +++ b/contributing/Basic/Architecture.zh-CN.md @@ -1,6 +1,6 @@ # 架构设计 -LobeChat 是一个基于 Next.js 框架构建的 AI 会话应用,旨在提供一个 AI 生产力平台,使用户能够与 AI 进行自然语言交互。以下是 LobeChat 的架构设计介稿: +Mr.🆖 AI 是一个基于 Next.js 框架构建的 AI 会话应用,旨在提供一个 AI 生产力平台,使用户能够与 AI 进行自然语言交互。以下是 Mr.🆖 AI 的架构设计介稿: #### TOC @@ -14,34 +14,34 @@ LobeChat 是一个基于 Next.js 框架构建的 AI 会话应用,旨在提供 ## 应用架构概览 -LobeChat 的整体架构由前端、EdgeRuntime API、Agents 市场、插件市场和独立插件组成。这些组件相互协作,以提供完整的 AI 体验。 +Mr.🆖 AI 的整体架构由前端、EdgeRuntime API、Agents 市场、插件市场和独立插件组成。这些组件相互协作,以提供完整的 AI 体验。 ## 前端架构 -LobeChat 的前端采用 Next.js 框架,利用其强大的 SSR(服务器端渲染)能力和路由功能。前端使用了一系列技术栈,包括 antd 组件库和 lobe-ui AIGC 组件库、zustand 状态管理、swr 请求库、i18next 国际化库等。这些技术栈共同支持了 LobeChat 的功能和特性。 +Mr.🆖 AI 的前端采用 Next.js 框架,利用其强大的 SSR(服务器端渲染)能力和路由功能。前端使用了一系列技术栈,包括 antd 组件库和 lobe-ui AIGC 组件库、zustand 状态管理、swr 请求库、i18next 国际化库等。这些技术栈共同支持了 Mr.🆖 AI 的功能和特性。 前端架构中的组件包括 app、components、config、const、features、helpers、hooks、layout、locales、migrations、prompts、services、store、styles、types 和 utils。每个组件都有特定的职责,并与其他组件协同工作,以实现不同的功能。 ## Edge Runtime API -Edge Runtime API 是 LobeChat 的核心组件之一,负责处理 AI 会话的核心逻辑。它提供了与 AI 引擎的交互接口,包括自然语言处理、意图识别和回复生成等。EdgeRuntime API 与前端进行通信,接收用户的输入并返回相应的回复。 +Edge Runtime API 是 Mr.🆖 AI 的核心组件之一,负责处理 AI 会话的核心逻辑。它提供了与 AI 引擎的交互接口,包括自然语言处理、意图识别和回复生成等。EdgeRuntime API 与前端进行通信,接收用户的输入并返回相应的回复。 ## Agents 市场 -Agents 市场是 LobeChat 的一个重要组成部分,它提供了各种不同场景的 AI Agent,用于处理特定的任务和领域。Agents 市场还提供了使用和上传 Agent 的功能,使用户能够发现其他人制作的 Agent ,也可以一键分享自己的 Agent 到市场上。 +Agents 市场是 Mr.🆖 AI 的一个重要组成部分,它提供了各种不同场景的 AI Agent,用于处理特定的任务和领域。Agents 市场还提供了使用和上传 Agent 的功能,使用户能够发现其他人制作的 Agent ,也可以一键分享自己的 Agent 到市场上。 ## 插件市场 -插件市场是 LobeChat 的另一个关键组件,它提供了各种插件,用于扩展 LobeChat 的功能和特性。插件可以是独立的功能模块,也可以与 Agents 市场的 Agent 进行集成。在会话中,助手将自动识别用户的输入,并识别适合的插件并传递给相应的插件进行处理,并返回处理结果。 +插件市场是 Mr.🆖 AI 的另一个关键组件,它提供了各种插件,用于扩展 Mr.🆖 AI 的功能和特性。插件可以是独立的功能模块,也可以与 Agents 市场的 Agent 进行集成。在会话中,助手将自动识别用户的输入,并识别适合的插件并传递给相应的插件进行处理,并返回处理结果。 ## 安全性和性能优化 -LobeChat 的安全性策略包括身份验证和权限管理。用户需要进行身份验证后才能使用 LobeChat,同时根据用户的权限进行相应的操作限制。 +Mr.🆖 AI 的安全性策略包括身份验证和权限管理。用户需要进行身份验证后才能使用 Mr.🆖 AI,同时根据用户的权限进行相应的操作限制。 -为了优化性能,LobeChat 使用了 Next.js 的 SSR 功能,实现了快速的页面加载和响应时间。此外,还采用了一系列的性能优化措施,包括代码分割、缓存和资源压缩等。 +为了优化性能,Mr.🆖 AI 使用了 Next.js 的 SSR 功能,实现了快速的页面加载和响应时间。此外,还采用了一系列的性能优化措施,包括代码分割、缓存和资源压缩等。 ## 开发和部署流程 -LobeChat 的开发流程包括版本控制、测试、持续集成和持续部署。开发团队使用版本控制系统进行代码管理,并进行单元测试和集成测试以确保代码质量。持续集成和持续部署流程确保了代码的快速交付和部署。 +Mr.🆖 AI 的开发流程包括版本控制、测试、持续集成和持续部署。开发团队使用版本控制系统进行代码管理,并进行单元测试和集成测试以确保代码质量。持续集成和持续部署流程确保了代码的快速交付和部署。 -以上是 LobeChat 的架构设计介绍简介,详细解释了各个组件的职责和协作方式,以及设计决策对应用功能和性能的影响。 +以上是 Mr.🆖 AI 的架构设计介绍简介,详细解释了各个组件的职责和协作方式,以及设计决策对应用功能和性能的影响。 diff --git a/contributing/Basic/Chat-API.md b/contributing/Basic/Chat-API.md index 682e7142e2e2..ba17eb37171a 100644 --- a/contributing/Basic/Chat-API.md +++ b/contributing/Basic/Chat-API.md @@ -1,6 +1,6 @@ # Conversation API Implementation Logic -The implementation of LobeChat's large model AI mainly relies on OpenAI's API, including the core conversation API on the backend and the integrated API on the frontend. Next, we will introduce the implementation approach and code for the backend and frontend separately. +The implementation of Mr.🆖 AI's large model AI mainly relies on OpenAI's API, including the core conversation API on the backend and the integrated API on the frontend. Next, we will introduce the implementation approach and code for the backend and frontend separately. #### TOC @@ -133,4 +133,4 @@ export const fetchSSE = async (fetchFn: () => Promise, options: FetchS }; ``` -The above is the core implementation of the LobeChat session API. With an understanding of these core codes, further expansion and optimization of LobeChat's AI functionality can be achieved. +The above is the core implementation of the Mr.🆖 AI session API. With an understanding of these core codes, further expansion and optimization of Mr.🆖 AI's AI functionality can be achieved. diff --git a/contributing/Basic/Chat-API.zh-CN.md b/contributing/Basic/Chat-API.zh-CN.md index 498ae65ed2b9..ff8926c504f7 100644 --- a/contributing/Basic/Chat-API.zh-CN.md +++ b/contributing/Basic/Chat-API.zh-CN.md @@ -1,6 +1,6 @@ # 会话 API 实现逻辑 -LobeChat 的大模型 AI 实现主要依赖于 OpenAI 的 API,包括后端的核心会话 API 和前端的集成 API。接下来,我们将分别介绍后端和前端的实现思路和代码。 +Mr.🆖 AI 的大模型 AI 实现主要依赖于 OpenAI 的 API,包括后端的核心会话 API 和前端的集成 API。接下来,我们将分别介绍后端和前端的实现思路和代码。 #### TOC @@ -171,4 +171,4 @@ export const fetchSSE = async (fetchFn: () => Promise, options: FetchS }; ``` -以上就是 LobeChat 会话 API 的核心实现。在理解了这些核心代码的基础上,便可以进一步扩展和优化 LobeChat 的 AI 功能。 +以上就是 Mr.🆖 AI 会话 API 的核心实现。在理解了这些核心代码的基础上,便可以进一步扩展和优化 Mr.🆖 AI 的 AI 功能。 diff --git a/contributing/Basic/Contributing-Guidelines.md b/contributing/Basic/Contributing-Guidelines.md index 85ee16c4c4fb..a4c1b850378b 100644 --- a/contributing/Basic/Contributing-Guidelines.md +++ b/contributing/Basic/Contributing-Guidelines.md @@ -1,6 +1,6 @@ # Code Style and Contribution Guidelines -Welcome to the Code Style and Contribution Guidelines for LobeChat. This guide will help you understand our code standards and contribution process, ensuring code consistency and smooth project progression. +Welcome to the Code Style and Contribution Guidelines for Mr.🆖 AI. This guide will help you understand our code standards and contribution process, ensuring code consistency and smooth project progression. ## TOC @@ -17,7 +17,7 @@ Welcome to the Code Style and Contribution Guidelines for LobeChat. This guide w ## Code Style -In LobeChat, we use the `@lobehub/lint` package to maintain a unified code style. This package incorporates configurations for `ESLint`, `Prettier`, `remarklint`, and `stylelint` to ensure that our JavaScript, Markdown, and CSS files adhere to the same coding standards. +In Mr.🆖 AI, we use the `@lobehub/lint` package to maintain a unified code style. This package incorporates configurations for `ESLint`, `Prettier`, `remarklint`, and `stylelint` to ensure that our JavaScript, Markdown, and CSS files adhere to the same coding standards. ### ESLint @@ -43,7 +43,7 @@ Ensure that your style code passes stylelint checks before committing. ## Contribution Process -LobeChat follows the gitmoji and semantic release as our code submission and release process. +Mr.🆖 AI follows the gitmoji and semantic release as our code submission and release process. ### Gitmoji diff --git a/contributing/Basic/Contributing-Guidelines.zh-CN.md b/contributing/Basic/Contributing-Guidelines.zh-CN.md index 3e68199ff592..de2e521251e6 100644 --- a/contributing/Basic/Contributing-Guidelines.zh-CN.md +++ b/contributing/Basic/Contributing-Guidelines.zh-CN.md @@ -1,6 +1,6 @@ # 代码风格与贡献指南 -欢迎来到 LobeChat 的代码风格与贡献指南。本指南将帮助您理解我们的代码规范和贡献流程,确保代码的一致性和项目的顺利进行。 +欢迎来到 Mr.🆖 AI 的代码风格与贡献指南。本指南将帮助您理解我们的代码规范和贡献流程,确保代码的一致性和项目的顺利进行。 ## TOC @@ -17,7 +17,7 @@ ## 代码风格 -在 LobeChat 中,我们使用 `@lobehub/lint` 程序包来统一代码风格。该程序包内置了 `ESLint`、`Prettier`、`remarklint` 和 `stylelint` 的配置,以确保我们的 JavaScript、Markdown 和 CSS 文件遵循相同的编码标准。 +在 Mr.🆖 AI 中,我们使用 `@lobehub/lint` 程序包来统一代码风格。该程序包内置了 `ESLint`、`Prettier`、`remarklint` 和 `stylelint` 的配置,以确保我们的 JavaScript、Markdown 和 CSS 文件遵循相同的编码标准。 ### ESLint @@ -45,7 +45,7 @@ Prettier 负责代码格式化,以保证代码的一致性。您可以在 `.pr ## 贡献流程 -LobeChat 采用 gitmoji 和 semantic release 作为我们的代码提交和发布流程。 +Mr.🆖 AI 采用 gitmoji 和 semantic release 作为我们的代码提交和发布流程。 ### Gitmoji diff --git a/contributing/Basic/Feature-Development-Frontend.md b/contributing/Basic/Feature-Development-Frontend.md index 81c5ef796b9c..913ebfdc8fac 100644 --- a/contributing/Basic/Feature-Development-Frontend.md +++ b/contributing/Basic/Feature-Development-Frontend.md @@ -1,6 +1,6 @@ # How to Develop a New Feature -LobeChat is built on the Next.js framework and uses TypeScript as the primary development language. When developing a new feature, we need to follow a certain development process to ensure the quality and stability of the code. The general process can be divided into the following five steps: +Mr.🆖 AI is built on the Next.js framework and uses TypeScript as the primary development language. When developing a new feature, we need to follow a certain development process to ensure the quality and stability of the code. The general process can be divided into the following five steps: 1. Routing: Define routes (`src/app`). 2. Data Structure: Define data structures (`src/types`). @@ -123,4 +123,4 @@ const ChatPage = () => { export default ChatPage; ``` -The above is the step to implement the "chat message" feature in LobeChat. Of course, in the actual development of LobeChat, the business requirements and scenarios faced in real situations are far more complex than the above demo. Please develop according to the actual situation. +The above is the step to implement the "chat message" feature in Mr.🆖 AI. Of course, in the actual development of Mr.🆖 AI, the business requirements and scenarios faced in real situations are far more complex than the above demo. Please develop according to the actual situation. diff --git a/contributing/Basic/Feature-Development-Frontend.zh-CN.md b/contributing/Basic/Feature-Development-Frontend.zh-CN.md index 4a4c4111d923..5dc529ae42de 100644 --- a/contributing/Basic/Feature-Development-Frontend.zh-CN.md +++ b/contributing/Basic/Feature-Development-Frontend.zh-CN.md @@ -1,6 +1,6 @@ # 如何开发一个新功能:前端实现 -LobeChat 基于 Next.js 框架构建,使用 TypeScript 作为主要开发语言。在开发新功能时,我们需要遵循一定的开发流程,以确保代码的质量和稳定性。大致的流程分为以下五步: +Mr.🆖 AI 基于 Next.js 框架构建,使用 TypeScript 作为主要开发语言。在开发新功能时,我们需要遵循一定的开发流程,以确保代码的质量和稳定性。大致的流程分为以下五步: 1. 路由:定义路由 (`src/app`) 2. 数据结构: 定义数据结构 ( `src/types` ) @@ -123,4 +123,4 @@ const ChatPage = () => { export default ChatPage; ``` -以上就是在 LobeChat 中实现 "会话消息" 功能的步骤。当然,在 LobeChat 的实际开发中,真实场景所面临的业务诉求和场景远比上述 demo 复杂,请根据实际情况进行开发。 +以上就是在 Mr.🆖 AI 中实现 "会话消息" 功能的步骤。当然,在 Mr.🆖 AI 的实际开发中,真实场景所面临的业务诉求和场景远比上述 demo 复杂,请根据实际情况进行开发。 diff --git a/contributing/Basic/Feature-Development.md b/contributing/Basic/Feature-Development.md index a56bc8861ed4..aa3e9fa79e80 100644 --- a/contributing/Basic/Feature-Development.md +++ b/contributing/Basic/Feature-Development.md @@ -1,6 +1,6 @@ -# Complete Guide to LobeChat Feature Development +# Complete Guide to Mr.🆖 AI Feature Development -This document aims to guide developers on how to develop a complete feature requirement in LobeChat. +This document aims to guide developers on how to develop a complete feature requirement in Mr.🆖 AI. We will use the implementation of sessionGroup as an example: [✨ feat: add session group manager](https://github.com/lobehub/lobe-chat/pull/1055), and explain the complete implementation process through the following six main sections: @@ -123,7 +123,7 @@ As a result, you can now view the `sessionGroups` table in the `LOBE_CHAT_DB` in ### Define Model -When building the LobeChat application, the Model is responsible for interacting with the database. It defines how to read, insert, update, and delete data from the database, as well as defining specific business logic. +When building the Mr.🆖 AI application, the Model is responsible for interacting with the database. It defines how to read, insert, update, and delete data from the database, as well as defining specific business logic. In `src/database/model/sessionGroup.ts`, the `SessionGroupModel` is defined as follows: @@ -149,7 +149,7 @@ export const SessionGroupModel = new _SessionGroupModel(); ### Service Implementation -In LobeChat, the Service layer is mainly responsible for communicating with the backend service, encapsulating business logic, and providing data to other layers in the frontend. `SessionService` is a service class specifically handling business logic related to sessions. It encapsulates operations such as creating sessions, querying sessions, and updating sessions. +In Mr.🆖 AI, the Service layer is mainly responsible for communicating with the backend service, encapsulating business logic, and providing data to other layers in the frontend. `SessionService` is a service class specifically handling business logic related to sessions. It encapsulates operations such as creating sessions, querying sessions, and updating sessions. To maintain code maintainability and extensibility, we place the logic related to session grouping in the `SessionService`. This helps to keep the business logic of the session domain cohesive. When business requirements increase or change, it becomes easier to modify and extend within this domain. @@ -178,7 +178,7 @@ class SessionService { ## 3. Frontend Data Flow Store Implementation -In the LobeChat application, the Store module is used to manage the frontend state of the application. The Actions within it are functions that trigger state updates, usually by calling methods in the service layer to perform actual data processing operations and then updating the state in the Store. We use `zustand` as the underlying dependency for the Store module. For a detailed practical introduction to state management, you can refer to [📘 Best Practices for State Management](../State-Management/State-Management-Intro.zh-CN.md). +In the Mr.🆖 AI application, the Store module is used to manage the frontend state of the application. The Actions within it are functions that trigger state updates, usually by calling methods in the service layer to perform actual data processing operations and then updating the state in the Store. We use `zustand` as the underlying dependency for the Store module. For a detailed practical introduction to state management, you can refer to [📘 Best Practices for State Management](../State-Management/State-Management-Intro.zh-CN.md). ### sessionGroup CRUD @@ -402,11 +402,11 @@ The core logic of this migration is as follows: - When the user's `group` field is `pinned`, set their `pinned` field to `true`, and set the group to `default`. -However, data migration in LobeChat typically involves two parts: **configuration file migration** and **database migration**. Therefore, the above logic will need to be implemented separately in these two areas. +However, data migration in Mr.🆖 AI typically involves two parts: **configuration file migration** and **database migration**. Therefore, the above logic will need to be implemented separately in these two areas. #### Configuration File Migration -For configuration file migration, we recommend performing it before database migration, as configuration file migration is usually easier to test and validate. LobeChat's file migration configuration is located in the `src/migrations/index.ts` file, which defines the various versions of configuration file migration and their corresponding migration scripts. +For configuration file migration, we recommend performing it before database migration, as configuration file migration is usually easier to test and validate. Mr.🆖 AI's file migration configuration is located in the `src/migrations/index.ts` file, which defines the various versions of configuration file migration and their corresponding migration scripts. ```diff // Current latest version number @@ -572,7 +572,7 @@ This is our data migration strategy. When performing the migration, it is essent ## 6. Data Import and Export -In LobeChat, the data import and export feature is designed to ensure that users can migrate their data between different devices. This includes session, topic, message, and settings data. In the implementation of the Session Group feature, we also need to handle data import and export to ensure that the complete exported data can be restored exactly the same on other devices. +In Mr.🆖 AI, the data import and export feature is designed to ensure that users can migrate their data between different devices. This includes session, topic, message, and settings data. In the implementation of the Session Group feature, we also need to handle data import and export to ensure that the complete exported data can be restored exactly the same on other devices. The core implementation of data import and export is in the `ConfigService` in `src/service/config.ts`, with key methods as follows: @@ -588,7 +588,7 @@ The core implementation of data import and export is in the `ConfigService` in ` ### Data Export -In LobeChat, when a user chooses to export data, the current session, topic, message, and settings data are packaged into a JSON file and provided for download. The standard structure of this JSON file is as follows: +In Mr.🆖 AI, when a user chooses to export data, the current session, topic, message, and settings data are packaged into a JSON file and provided for download. The standard structure of this JSON file is as follows: ```json { @@ -706,8 +706,8 @@ class ConfigService { One key point of the above modification is to import sessionGroup first, because if sessions are imported first and the corresponding SessionGroup Id is not found in the current database, the group of this session will default to be modified to the default value. This will prevent the correct association of the sessionGroup's ID with the session. -This is the implementation of the LobeChat Session Group feature in the data import and export process. This approach ensures that users' Session Group data is correctly handled during the import and export process. +This is the implementation of the Mr.🆖 AI Session Group feature in the data import and export process. This approach ensures that users' Session Group data is correctly handled during the import and export process. ## Summary -The above is the complete implementation process of the LobeChat Session Group feature. Developers can refer to this document for the development and testing of related functionalities. +The above is the complete implementation process of the Mr.🆖 AI Session Group feature. Developers can refer to this document for the development and testing of related functionalities. diff --git a/contributing/Basic/Feature-Development.zh-CN.md b/contributing/Basic/Feature-Development.zh-CN.md index 643eda51ebd7..83f2f45c35bb 100644 --- a/contributing/Basic/Feature-Development.zh-CN.md +++ b/contributing/Basic/Feature-Development.zh-CN.md @@ -1,6 +1,6 @@ -# LobeChat 功能开发完全指南 +# Mr.🆖 AI 功能开发完全指南 -本文档旨在指导开发者了解如何在 LobeChat 中开发一块完整的功能需求。 +本文档旨在指导开发者了解如何在 Mr.🆖 AI 中开发一块完整的功能需求。 我们将以 sessionGroup 的实现为示例:[✨ feat: add session group manager](https://github.com/lobehub/lobe-chat/pull/1055) , 通过以下六个主要部分来阐述完整的实现流程: @@ -123,7 +123,7 @@ export class LocalDB extends Dexie { ### 定义 Model -在构建 LobeChat 应用时,Model 负责与数据库的交互,它定义了如何读取、插入、更新和删除数据库的数据,定义具体的业务逻辑。 +在构建 Mr.🆖 AI 应用时,Model 负责与数据库的交互,它定义了如何读取、插入、更新和删除数据库的数据,定义具体的业务逻辑。 在 `src/database/model/sessionGroup.ts` 中定义 `SessionGroupModel`: @@ -149,7 +149,7 @@ export const SessionGroupModel = new _SessionGroupModel(); ### Service 实现 -在 LobeChat 中,Service 层主要负责与后端服务进行通信,封装业务逻辑,并提供数据给前端的其他层使用。`SessionService` 是一个专门处理与会话(Session)相关业务逻辑的服务类,它封装了创建会话、查询会话、更新会话等操作。 +在 Mr.🆖 AI 中,Service 层主要负责与后端服务进行通信,封装业务逻辑,并提供数据给前端的其他层使用。`SessionService` 是一个专门处理与会话(Session)相关业务逻辑的服务类,它封装了创建会话、查询会话、更新会话等操作。 为了保持代码的可维护性和可扩展性,我们将会话分组相关的服务逻辑放在 `SessionService` 中,这样可以使会话领域的业务逻辑保持内聚。当业务需求增加或变化时,我们可以更容易地在这个领域内进行修改和扩展。 @@ -178,7 +178,7 @@ class SessionService { ## 三、前端数据流 Store 实现 -在 LobeChat 应用中,Store 是用于管理应用前端状态的模块。其中的 Action 是触发状态更新的函数,通常会调用服务层的方法来执行实际的数据处理操作,然后更新 Store 中的状态。我们采用了 `zustand` 作为 Store 模块的底层依赖,对于状态管理的详细实践介绍,可以查阅 [📘 状态管理最佳实践](../State-Management/State-Management-Intro.zh-CN.md) +在 Mr.🆖 AI 应用中,Store 是用于管理应用前端状态的模块。其中的 Action 是触发状态更新的函数,通常会调用服务层的方法来执行实际的数据处理操作,然后更新 Store 中的状态。我们采用了 `zustand` 作为 Store 模块的底层依赖,对于状态管理的详细实践介绍,可以查阅 [📘 状态管理最佳实践](../State-Management/State-Management-Intro.zh-CN.md) ### sessionGroup CRUD @@ -402,11 +402,11 @@ after unpin: group = default - 当用户的 `group` 字段为 `pinned` 时,将其 `pinned` 字段置为 `true`,同时将 group 设为 `default`; -但 LobeChat 中的数据迁移通常涉及到 **配置文件迁移** 和 **数据库迁移** 两个部分。所以上述逻辑会需要分别在两块实现迁移。 +但 Mr.🆖 AI 中的数据迁移通常涉及到 **配置文件迁移** 和 **数据库迁移** 两个部分。所以上述逻辑会需要分别在两块实现迁移。 #### 配置文件迁移 -对于配置文件迁移,我们建议先于数据库迁移进行,因为配置文件迁移通常更容易进行测试和验证。LobeChat 的文件迁移配置位于 `src/migrations/index.ts` 文件中,其中定义了配置文件迁移的各个版本及对应的迁移脚本。 +对于配置文件迁移,我们建议先于数据库迁移进行,因为配置文件迁移通常更容易进行测试和验证。Mr.🆖 AI 的文件迁移配置位于 `src/migrations/index.ts` 文件中,其中定义了配置文件迁移的各个版本及对应的迁移脚本。 ```diff // 当前最新的版本号 @@ -566,7 +566,7 @@ export class LocalDB extends Dexie { ## 六、数据导入导出 -在 LobeChat 中,数据导入导出功能是为了确保用户可以在不同设备之间迁移他们的数据。这包括会话、话题、消息和设置等数据。在本次的 Session Group 功能实现中,我们也需要对数据导入导出进行处理,以确保当完整导出的数据在其他设备上可以一模一样恢复。 +在 Mr.🆖 AI 中,数据导入导出功能是为了确保用户可以在不同设备之间迁移他们的数据。这包括会话、话题、消息和设置等数据。在本次的 Session Group 功能实现中,我们也需要对数据导入导出进行处理,以确保当完整导出的数据在其他设备上可以一模一样恢复。 数据导入导出的核心实现在 `src/service/config.ts` 的 `ConfigService` 中,其中的关键方法如下: @@ -582,7 +582,7 @@ export class LocalDB extends Dexie { ### 数据导出 -在 LobeChat 中,当用户选择导出数据时,会将当前的会话、话题、消息和设置等数据打包成一个 JSON 文件并提供给用户下载。这个 JSON 文件的标准结构如下: +在 Mr.🆖 AI 中,当用户选择导出数据时,会将当前的会话、话题、消息和设置等数据打包成一个 JSON 文件并提供给用户下载。这个 JSON 文件的标准结构如下: ```json { @@ -700,8 +700,8 @@ class ConfigService { 上述修改的一个要点是先进行 sessionGroup 的导入,因为如果先导入 session 时,如果没有在当前数据库中查到相应的 SessionGroup Id,那么这个 session 的 group 会兜底修改为默认值。这样就无法正确地将 sessionGroup 的 ID 与 session 进行关联。 -以上就是 LobeChat Session Group 功能在数据导入导出部分的实现。通过这种方式,我们可以确保用户的 Session Group 数据在导入导出过程中能够被正确地处理。 +以上就是 Mr.🆖 AI Session Group 功能在数据导入导出部分的实现。通过这种方式,我们可以确保用户的 Session Group 数据在导入导出过程中能够被正确地处理。 ## 总结 -以上就是 LobeChat Session Group 功能的完整实现流程。开发者可以参考本文档进行相关功能的开发和测试。 +以上就是 Mr.🆖 AI Session Group 功能的完整实现流程。开发者可以参考本文档进行相关功能的开发和测试。 diff --git a/contributing/Basic/Folder-Structure.md b/contributing/Basic/Folder-Structure.md index f74fe632a6c8..dc0f0de8a1bd 100644 --- a/contributing/Basic/Folder-Structure.md +++ b/contributing/Basic/Folder-Structure.md @@ -1,6 +1,6 @@ # Directory Structure -The directory structure of LobeChat is as follows: +The directory structure of Mr.🆖 AI is as follows: ```bash src diff --git a/contributing/Basic/Folder-Structure.zh-CN.md b/contributing/Basic/Folder-Structure.zh-CN.md index 0368a94714cf..4a6a7c97c7cc 100644 --- a/contributing/Basic/Folder-Structure.zh-CN.md +++ b/contributing/Basic/Folder-Structure.zh-CN.md @@ -1,6 +1,6 @@ # 目录架构 -LobeChat 的文件夹目录架构如下: +Mr.🆖 AI 的文件夹目录架构如下: ```bash src diff --git a/contributing/Basic/Intro.md b/contributing/Basic/Intro.md index 7ac6ea9e6e03..cc2e9e1ccbbe 100644 --- a/contributing/Basic/Intro.md +++ b/contributing/Basic/Intro.md @@ -1,6 +1,6 @@ # Technical Development Getting Started Guide -Welcome to the LobeChat Technical Development Getting Started Guide. LobeChat is an AI conversation application built on the Next.js framework, incorporating a range of technology stacks to achieve diverse functionalities and features. This guide will detail the main technical components of LobeChat and how to configure and use these technologies in your development environment. +Welcome to the Mr.🆖 AI Technical Development Getting Started Guide. Mr.🆖 AI is an AI conversation application built on the Next.js framework, incorporating a range of technology stacks to achieve diverse functionalities and features. This guide will detail the main technical components of Mr.🆖 AI and how to configure and use these technologies in your development environment. #### TOC @@ -13,7 +13,7 @@ Welcome to the LobeChat Technical Development Getting Started Guide. LobeChat is ## Basic Technology Stack -The core technology stack of LobeChat is as follows: +The core technology stack of Mr.🆖 AI is as follows: - **Framework**: We chose [Next.js](https://nextjs.org/), a powerful React framework that provides key features such as server-side rendering, routing framework, and Router Handler. - **Component Library**: We use [Ant Design (antd)](https://ant.design/) as the basic component library, along with [lobe-ui](https://github.com/lobehub/lobe-ui) as our business component library. @@ -26,7 +26,7 @@ The core technology stack of LobeChat is as follows: ## Folder Directory Structure -The folder directory structure of LobeChat is as follows: +The folder directory structure of Mr.🆖 AI is as follows: ```bash src @@ -52,7 +52,7 @@ This section outlines setting up the development environment and local developme We recommend using WebStorm as your integrated development environment (IDE). -1. **Get the code**: Clone the LobeChat code repository locally: +1. **Get the code**: Clone the Mr.🆖 AI code repository locally: ```bash git clone https://github.com/lobehub/lobe-chat.git @@ -79,11 +79,11 @@ bun run dev > \[!IMPORTANT]\ > If you encounter the error "Could not find 'stylelint-config-recommended'" when installing dependencies with `npm`, please reinstall the dependencies using `pnpm` or `bun`. -Now, you should be able to see the welcome page of LobeChat in your browser. For a detailed environment setup guide, please refer to [Development Environment Setup Guide](Setup-Development.zh-CN.md). +Now, you should be able to see the welcome page of Mr.🆖 AI in your browser. For a detailed environment setup guide, please refer to [Development Environment Setup Guide](Setup-Development.zh-CN.md). ## Code Style and Contribution Guide -In the LobeChat project, we place great emphasis on the quality and consistency of the code. For this reason, we have established a series of code style standards and contribution processes to ensure that every developer can smoothly participate in the project. Here are the code style and contribution guidelines you need to follow as a developer. +In the Mr.🆖 AI project, we place great emphasis on the quality and consistency of the code. For this reason, we have established a series of code style standards and contribution processes to ensure that every developer can smoothly participate in the project. Here are the code style and contribution guidelines you need to follow as a developer. - **Code Style**: We use `@lobehub/lint` to unify the code style, including ESLint, Prettier, remarklint, and stylelint configurations. Please adhere to our code standards to maintain code consistency and readability. - **Contribution Process**: We use gitmoji and semantic release for code submission and release processes. Please use gitmoji to annotate your commit messages and ensure compliance with the semantic release standards so that our automation systems can correctly handle version control and releases. @@ -94,7 +94,7 @@ For detailed code style and contribution guidelines, please refer to [Code Style ## Internationalization Implementation Guide -LobeChat uses `i18next` and `lobe-i18n` to implement multilingual support, ensuring a global user experience. +Mr.🆖 AI uses `i18next` and `lobe-i18n` to implement multilingual support, ensuring a global user experience. Internationalization files are located in `src/locales`, containing the default language (Chinese). We generate other language JSON files automatically through `lobe-i18n`. @@ -104,8 +104,8 @@ For a detailed guide on internationalization implementation, please refer to [In ## Appendix: Resources and References -To support developers in better understanding and using the technology stack of LobeChat, we provide a comprehensive list of resources and references — [LobeChat Resources and References](https://github.com/lobehub/lobe-chat/wiki/Resources.zh-CN) - Visit our maintained list of resources, including tutorials, articles, and other useful links. +To support developers in better understanding and using the technology stack of Mr.🆖 AI, we provide a comprehensive list of resources and references — [Mr.🆖 AI Resources and References](https://github.com/lobehub/lobe-chat/wiki/Resources.zh-CN) - Visit our maintained list of resources, including tutorials, articles, and other useful links. -We encourage developers to utilize these resources to deepen their learning and enhance their skills, join community discussions through [LobeChat GitHub Discussions](https://github.com/lobehub/lobe-chat/discussions) or [Discord](https://discord.com/invite/AYFPHvv2jT), ask questions, or share your experiences. +We encourage developers to utilize these resources to deepen their learning and enhance their skills, join community discussions through [Mr.🆖 AI GitHub Discussions](https://github.com/lobehub/lobe-chat/discussions) or [Discord](https://discord.com/invite/AYFPHvv2jT), ask questions, or share your experiences. If you have any questions or need further assistance, please do not hesitate to contact us through the above channels. diff --git a/contributing/Basic/Intro.zh-CN.md b/contributing/Basic/Intro.zh-CN.md index 5030401e305c..5797a545bab6 100644 --- a/contributing/Basic/Intro.zh-CN.md +++ b/contributing/Basic/Intro.zh-CN.md @@ -1,6 +1,6 @@ # 技术开发上手指南 -欢迎来到 LobeChat 技术开发上手指南。LobeChat 是一款基于 Next.js 框架构建的 AI 会话应用,它汇集了一系列的技术栈,以实现多样化的功能和特性。本指南将详细介绍 LobeChat 的主要技术组成,以及如何在你的开发环境中配置和使用这些技术。 +欢迎来到 Mr.🆖 AI 技术开发上手指南。Mr.🆖 AI 是一款基于 Next.js 框架构建的 AI 会话应用,它汇集了一系列的技术栈,以实现多样化的功能和特性。本指南将详细介绍 Mr.🆖 AI 的主要技术组成,以及如何在你的开发环境中配置和使用这些技术。 #### TOC @@ -13,7 +13,7 @@ ## 基础技术栈 -LobeChat 的核心技术栈如下: +Mr.🆖 AI 的核心技术栈如下: - **框架**:我们选择了 [Next.js](https://nextjs.org/),这是一款强大的 React 框架,为我们的项目提供了服务端渲染、路由框架、Router Handler 等关键功能。 - **组件库**:我们使用了 [Ant Design (antd)](https://ant.design/) 作为基础组件库,同时引入了 [lobe-ui](https://github.com/lobehub/lobe-ui) 作为我们的业务组件库。 @@ -26,7 +26,7 @@ LobeChat 的核心技术栈如下: ## 文件夹目录架构 -LobeChat 的文件夹目录架构如下: +Mr.🆖 AI 的文件夹目录架构如下: ```bash src @@ -52,7 +52,7 @@ src 我们推荐使用 WebStorm 作为你的集成开发环境(IDE)。 -1. **获取代码**:克隆 LobeChat 的代码库到本地: +1. **获取代码**:克隆 Mr.🆖 AI 的代码库到本地: ```bash git clone https://github.com/lobehub/lobe-chat.git @@ -79,11 +79,11 @@ bun run dev > \[!IMPORTANT]\ > 如果使用`npm`安装依赖出现`Could not find "stylelint-config-recommended"`错误,请使用 `pnpm` 或者 `bun` 重新安装依赖。 -现在,你应该可以在浏览器中看到 LobeChat 的欢迎页面。详细的环境配置指南,请参考 [开发环境设置指南](Setup-Development.zh-CN.md)。 +现在,你应该可以在浏览器中看到 Mr.🆖 AI 的欢迎页面。详细的环境配置指南,请参考 [开发环境设置指南](Setup-Development.zh-CN.md)。 ## 代码风格与贡献指南 -在 LobeChat 项目中,我们十分重视代码的质量和一致性。为此,我们制定了一系列的代码风格规范和贡献流程,以确保每位开发者都能顺利地参与到项目中。以下是你作为开发者需要遵守的代码风格和贡献准则。 +在 Mr.🆖 AI 项目中,我们十分重视代码的质量和一致性。为此,我们制定了一系列的代码风格规范和贡献流程,以确保每位开发者都能顺利地参与到项目中。以下是你作为开发者需要遵守的代码风格和贡献准则。 - **代码风格**:我们使用 `@lobehub/lint` 统一代码风格,包括 ESLint、Prettier、remarklint 和 stylelint 配置。请遵守我们的代码规范,以保持代码的一致性和可读性。 - **贡献流程**:我们采用 gitmoji 和 semantic release 作为代码提交和发布流程。请使用 gitmoji 标注您的提交信息,并确保遵循 semantic release 的规范,以便我们的自动化系统能够正确处理版本控制和发布。 @@ -94,7 +94,7 @@ bun run dev ## 国际化实现指南 -LobeChat 采用 `i18next` 和 `lobe-i18n` 实现多语言支持,确保用户全球化体验。 +Mr.🆖 AI 采用 `i18next` 和 `lobe-i18n` 实现多语言支持,确保用户全球化体验。 国际化文件位于 `src/locales`,包含默认语言(中文)。 我们会通过 `lobe-i18n` 自动生成其他的语言 JSON 文件。 @@ -104,8 +104,8 @@ LobeChat 采用 `i18next` 和 `lobe-i18n` 实现多语言支持,确保用户 ## 附录:资源与参考 -为了支持开发者更好地理解和使用 LobeChat 的技术栈,我们提供了一份详尽的资源与参考列表 —— [LobeChat 资源与参考](https://github.com/lobehub/lobe-chat/wiki/Resources.zh-CN) - 访问我们维护的资源列表,包括教程、文章和其他有用的链接。 +为了支持开发者更好地理解和使用 Mr.🆖 AI 的技术栈,我们提供了一份详尽的资源与参考列表 —— [Mr.🆖 AI 资源与参考](https://github.com/lobehub/lobe-chat/wiki/Resources.zh-CN) - 访问我们维护的资源列表,包括教程、文章和其他有用的链接。 -我们鼓励开发者利用这些资源深入学习和提升技能,通过 [LobeChat GitHub Discussions](https://github.com/lobehub/lobe-chat/discussions) 或者 [Discord](https://discord.com/invite/AYFPHvv2jT) 加入社区讨论,提出问题或分享你的经验。 +我们鼓励开发者利用这些资源深入学习和提升技能,通过 [Mr.🆖 AI GitHub Discussions](https://github.com/lobehub/lobe-chat/discussions) 或者 [Discord](https://discord.com/invite/AYFPHvv2jT) 加入社区讨论,提出问题或分享你的经验。 如果你有任何疑问,或者需要进一步的帮助,请不要犹豫,请通过上述渠道与我们联系。 diff --git a/contributing/Basic/Resources.md b/contributing/Basic/Resources.md index 65fbd9ab8404..88e347210651 100644 --- a/contributing/Basic/Resources.md +++ b/contributing/Basic/Resources.md @@ -1,6 +1,6 @@ # Resources and References -The design and development of LobeChat would not have been possible without the excellent projects in the community and ecosystem. We have used or referred to some outstanding resources and guides in the design and development process. Here are some key reference resources for developers to refer to during the development and learning process: +The design and development of Mr.🆖 AI would not have been possible without the excellent projects in the community and ecosystem. We have used or referred to some outstanding resources and guides in the design and development process. Here are some key reference resources for developers to refer to during the development and learning process: 1. **OpenAI API Guide**: We use OpenAI's API to access and process AI conversation data. You can check out the [OpenAI API Guide](https://platform.openai.com/docs/api-reference/introduction) for more details. @@ -10,10 +10,10 @@ The design and development of LobeChat would not have been possible without the 4. **LangChain**: Our early conversation feature was implemented based on LangChain. You can visit [LangChain](https://langchain.com) to learn more about it. -5. **Chat-Next-Web**: Chat Next Web is an excellent project, and some of LobeChat's features and workflows are referenced from its implementation. You can view the source code and documentation on the [Chat-Next-Web](https://github.com/Yidadaa/ChatGPT-Next-Web) GitHub repository. +5. **Chat-Next-Web**: Chat Next Web is an excellent project, and some of Mr.🆖 AI's features and workflows are referenced from its implementation. You can view the source code and documentation on the [Chat-Next-Web](https://github.com/Yidadaa/ChatGPT-Next-Web) GitHub repository. 6. **Next.js Documentation**: Our project is built on Next.js, and you can refer to the [Next.js Documentation](https://nextjs.org/docs) for more information about Next.js. -7. **FlowGPT**: FlowGPT is currently the world's largest Prompt community, and some of the agents in LobeChat come from active authors in FlowGPT. You can visit [FlowGPT](https://flowgpt.com/) to learn more about it. +7. **FlowGPT**: FlowGPT is currently the world's largest Prompt community, and some of the agents in Mr.🆖 AI come from active authors in FlowGPT. You can visit [FlowGPT](https://flowgpt.com/) to learn more about it. We will continue to update and supplement this list to provide developers with more reference resources. diff --git a/contributing/Basic/Resources.zh-CN.md b/contributing/Basic/Resources.zh-CN.md index 305ca12b4f26..fa63b527c50d 100644 --- a/contributing/Basic/Resources.zh-CN.md +++ b/contributing/Basic/Resources.zh-CN.md @@ -1,6 +1,6 @@ # 资源与参考 -LobeChat 的设计和开发离不开社区和生态中的优秀项目。我们在设计和开发过程中使用或参考了一些优秀的资源和指南。以下是一些主要的参考资源,供开发者在开发和学习过程中参考: +Mr.🆖 AI 的设计和开发离不开社区和生态中的优秀项目。我们在设计和开发过程中使用或参考了一些优秀的资源和指南。以下是一些主要的参考资源,供开发者在开发和学习过程中参考: 1. **OpenAI API 指南**:我们使用 OpenAI 的 API 来获取和处理 AI 的会话数据。你可以查看 [OpenAI API 指南](https://platform.openai.com/docs/api-reference/introduction) 了解更多详情。 @@ -10,10 +10,10 @@ LobeChat 的设计和开发离不开社区和生态中的优秀项目。我们 4. **LangChain**:我们早期的会话功能是基于 LangChain 实现的。你可以访问 [LangChain](https://langchain.com) 来了解更多关于它的信息。 -5. **Chat-Next-Web**:Chat Next Web 是一个优秀的项目,LobeChat 的部分功能、Workflow 等参考了它的实现。你可以在 [Chat-Next-Web](https://github.com/Yidadaa/ChatGPT-Next-Web) 的 GitHub 仓库中查看源码和文档。 +5. **Chat-Next-Web**:Chat Next Web 是一个优秀的项目,Mr.🆖 AI 的部分功能、Workflow 等参考了它的实现。你可以在 [Chat-Next-Web](https://github.com/Yidadaa/ChatGPT-Next-Web) 的 GitHub 仓库中查看源码和文档。 6. **Next.js 文档**:我们的项目是基于 Next.js 构建的,你可以查看 [Next.js 文档](https://nextjs.org/docs) 来了解更多关于 Next.js 的信息。 -7. **FlowGPT**:FlowGPT 是目前全球最大的 Prompt 社区,LobeChat 中的一些 Agent 来自 FlowGPT 的活跃作者。你可以访问 [FlowGPT](https://flowgpt.com/) 来了解更多关于它的信息。 +7. **FlowGPT**:FlowGPT 是目前全球最大的 Prompt 社区,Mr.🆖 AI 中的一些 Agent 来自 FlowGPT 的活跃作者。你可以访问 [FlowGPT](https://flowgpt.com/) 来了解更多关于它的信息。 我们会持续更新和补充这个列表,为开发者提供更多的参考资源。 diff --git a/contributing/Basic/Setup-Development.md b/contributing/Basic/Setup-Development.md index ca7263ac317c..d6971885c3b2 100644 --- a/contributing/Basic/Setup-Development.md +++ b/contributing/Basic/Setup-Development.md @@ -1,6 +1,6 @@ # Environment Setup Guide -Welcome to the LobeChat development environment setup guide. +Welcome to the Mr.🆖 AI development environment setup guide. #### TOC @@ -17,13 +17,13 @@ If you have access to GitHub Codespaces, you can click the button below to enter ## Local Development -Before starting development on LobeChat, you need to install and configure some necessary software and tools in your local environment. This document will guide you through these steps. +Before starting development on Mr.🆖 AI, you need to install and configure some necessary software and tools in your local environment. This document will guide you through these steps. ### Development Environment Requirements First, you need to install the following software: -- Node.js: LobeChat is built on Node.js, so you need to install Node.js. We recommend installing the latest stable version. +- Node.js: Mr.🆖 AI is built on Node.js, so you need to install Node.js. We recommend installing the latest stable version. - Yarn: We use Yarn as the preferred package manager. You can download and install it from the Yarn official website. - PNPM: We use PNPM as an auxiliary package manager. You can download and install it from the PNPM official website. - Git: We use Git for version control. You can download and install it from the Git official website. @@ -31,9 +31,9 @@ First, you need to install the following software: ### Project Setup -After installing the above software, you can start setting up the LobeChat project. +After installing the above software, you can start setting up the Mr.🆖 AI project. -1. **Get the code**: First, you need to clone the LobeChat codebase from GitHub. Run the following command in the terminal: +1. **Get the code**: First, you need to clone the Mr.🆖 AI codebase from GitHub. Run the following command in the terminal: ```bash git clone https://github.com/lobehub/lobe-chat.git @@ -59,11 +59,11 @@ pnpm install yarn run dev ``` -Now, you can open `http://localhost:3010` in your browser, and you should see the welcome page of LobeChat. This indicates that you have successfully set up the development environment. +Now, you can open `http://localhost:3010` in your browser, and you should see the welcome page of Mr.🆖 AI. This indicates that you have successfully set up the development environment. ![](https://github-production-user-asset-6210df.s3.amazonaws.com/28616219/274655364-414bc31e-8511-47a3-af17-209b530effc7.png) -During the development process, if you encounter any issues with environment setup or have any questions about LobeChat development, feel free to ask us at any time. We look forward to seeing your contributions! +During the development process, if you encounter any issues with environment setup or have any questions about Mr.🆖 AI development, feel free to ask us at any time. We look forward to seeing your contributions! [codespaces-link]: https://codespaces.new/lobehub/lobe-chat [codespaces-shield]: https://github.com/codespaces/badge.svg diff --git a/contributing/Basic/Setup-Development.zh-CN.md b/contributing/Basic/Setup-Development.zh-CN.md index 80da7fdca173..2eea0ef213c5 100644 --- a/contributing/Basic/Setup-Development.zh-CN.md +++ b/contributing/Basic/Setup-Development.zh-CN.md @@ -1,6 +1,6 @@ # 环境设置指南 -欢迎阅读 LobeChat 的开发环境设置指南。 +欢迎阅读 Mr.🆖 AI 的开发环境设置指南。 #### TOC @@ -17,13 +17,13 @@ ## 本地开发 -在开始开发 LobeChat 之前,你需要在本地环境中安装和配置一些必要的软件和工具。本文档将指导你完成这些步骤。 +在开始开发 Mr.🆖 AI 之前,你需要在本地环境中安装和配置一些必要的软件和工具。本文档将指导你完成这些步骤。 ### 开发环境需求 首先,你需要安装以下软件: -- Node.js:LobeChat 是基于 Node.js 构建的,因此你需要安装 Node.js。我们建议安装最新的稳定版。 +- Node.js:Mr.🆖 AI 是基于 Node.js 构建的,因此你需要安装 Node.js。我们建议安装最新的稳定版。 - Bun:我们使用 Bun 作为首选包管理器。你可以从 Bun 的官方网站上下载并安装。 - PNPM:我们使用 PNPM 作为辅助包管理器。你可以从 pnpm 的官方网站上下载并安装。 - Git:我们使用 Git 进行版本控制。你可以从 Git 的官方网站上下载并安装。 @@ -31,9 +31,9 @@ ### 项目设置 -完成上述软件的安装后,你可以开始设置 LobeChat 项目了。 +完成上述软件的安装后,你可以开始设置 Mr.🆖 AI 项目了。 -1. **获取代码**:首先,你需要从 GitHub 上克隆 LobeChat 的代码库。在终端中运行以下命令: +1. **获取代码**:首先,你需要从 GitHub 上克隆 Mr.🆖 AI 的代码库。在终端中运行以下命令: ```bash git clone https://github.com/lobehub/lobe-chat.git @@ -59,11 +59,11 @@ pnpm i bun run dev ``` -现在,你可以在浏览器中打开 `http://localhost:3010`,你应该能看到 LobeChat 的欢迎页面。这表明你已经成功地设置了开发环境。 +现在,你可以在浏览器中打开 `http://localhost:3010`,你应该能看到 Mr.🆖 AI 的欢迎页面。这表明你已经成功地设置了开发环境。 ![](https://github-production-user-asset-6210df.s3.amazonaws.com/28616219/274655364-414bc31e-8511-47a3-af17-209b530effc7.png) -在开发过程中,如果你在环境设置上遇到任何问题,或者有任何关于 LobeChat 开发的问题,欢迎随时向我们提问。我们期待看到你的贡献! +在开发过程中,如果你在环境设置上遇到任何问题,或者有任何关于 Mr.🆖 AI 开发的问题,欢迎随时向我们提问。我们期待看到你的贡献! [codespaces-link]: https://codespaces.new/lobehub/lobe-chat [codespaces-shield]: https://github.com/codespaces/badge.svg diff --git a/contributing/Basic/Test.md b/contributing/Basic/Test.md index 4a50d3e1ef32..29ed13d2bc66 100644 --- a/contributing/Basic/Test.md +++ b/contributing/Basic/Test.md @@ -1,6 +1,6 @@ # Testing Guide -LobeChat's testing strategy includes unit testing and end-to-end (E2E) testing. Below are detailed explanations of each type of testing: +Mr.🆖 AI's testing strategy includes unit testing and end-to-end (E2E) testing. Below are detailed explanations of each type of testing: #### TOC @@ -28,13 +28,13 @@ We encourage developers to write corresponding unit tests while writing code to End-to-end testing is used to test the functionality and performance of the application in a real environment. It simulates real user operations and verifies the application's performance in different scenarios. -Currently, there is no integrated end-to-end testing in LobeChat. We will gradually introduce end-to-end testing in subsequent iterations. +Currently, there is no integrated end-to-end testing in Mr.🆖 AI. We will gradually introduce end-to-end testing in subsequent iterations. ## Development Testing ### 1. Unit Testing -Unit testing is conducted on the smallest testable units in the application, usually functions, components, or modules. In LobeChat, we use [vitest][vitest-url] for unit testing. +Unit testing is conducted on the smallest testable units in the application, usually functions, components, or modules. In Mr.🆖 AI, we use [vitest][vitest-url] for unit testing. #### Writing Test Cases diff --git a/contributing/Basic/Test.zh-CN.md b/contributing/Basic/Test.zh-CN.md index 8b520d70e997..b68eb118039c 100644 --- a/contributing/Basic/Test.zh-CN.md +++ b/contributing/Basic/Test.zh-CN.md @@ -1,6 +1,6 @@ # 测试指南 -LobeChat 的测试策略包括单元测试和端到端 (E2E) 测试。下面是每种测试的详细说明: +Mr.🆖 AI 的测试策略包括单元测试和端到端 (E2E) 测试。下面是每种测试的详细说明: #### TOC @@ -28,13 +28,13 @@ npm run test 端到端测试用于测试应用在真实环境中的功能和性能。它模拟用户的真实操作,并验证应用在不同场景下的表现。 -在 LobeChat 中,目前暂时没有集成端到端测试,我们会在后续迭代中逐步引入端到端测试。 +在 Mr.🆖 AI 中,目前暂时没有集成端到端测试,我们会在后续迭代中逐步引入端到端测试。 ## 开发测试 ### 1. 单元测试 -单元测试是针对应用中的最小可测试单元进行的测试,通常是针对函数、组件或模块进行的测试。在 LobeChat 中,我们使用 [vitest][vitest-url] 进行单元测试。 +单元测试是针对应用中的最小可测试单元进行的测试,通常是针对函数、组件或模块进行的测试。在 Mr.🆖 AI 中,我们使用 [vitest][vitest-url] 进行单元测试。 #### 编写测试用例 diff --git a/contributing/Home.md b/contributing/Home.md index 45c7e1fa709a..97e2c6c6f4e5 100644 --- a/contributing/Home.md +++ b/contributing/Home.md @@ -6,7 +6,7 @@

Lobe Chat Contributing Wiki

-LobeChat is an open-source, extensible ([Function Calling][fc-url]), high-performance chatbot framework.
It supports one-click free deployment of your private ChatGPT/LLM web application. +Mr.🆖 AI is an open-source, extensible ([Function Calling][fc-url]), high-performance chatbot framework.
It supports one-click free deployment of your private ChatGPT/LLM web application. [Usage Documents](https://lobehub.com/docs) | [使用指南](https://lobehub.com/docs) @@ -20,7 +20,7 @@ LobeChat is an open-source, extensible ([Function Calling][fc-url]), high-perfor - [Architecture Design](https://github.com/lobehub/lobe-chat/wiki/Architecture) | [架构设计](https://github.com/lobehub/lobe-chat/wiki/Architecture.zh-CN) - [Code Style and Contribution Guidelines](https://github.com/lobehub/lobe-chat/wiki/Contributing-Guidelines) | [代码风格与贡献指南](https://github.com/lobehub/lobe-chat/wiki/Contributing-Guidelines.zh-CN) -- [Complete Guide to LobeChat Feature Development](https://github.com/lobehub/lobe-chat/wiki/Feature-Development) | [LobeChat 功能开发完全指南](https://github.com/lobehub/lobe-chat/wiki/Feature-Development.zh-CN) +- [Complete Guide to Mr.🆖 AI Feature Development](https://github.com/lobehub/lobe-chat/wiki/Feature-Development) | [Mr.🆖 AI 功能开发完全指南](https://github.com/lobehub/lobe-chat/wiki/Feature-Development.zh-CN) - [Conversation API Implementation Logic](https://github.com/lobehub/lobe-chat/wiki/Chat-API) | [会话 API 实现逻辑](https://github.com/lobehub/lobe-chat/wiki/Chat-API.zh-CN) - [Directory Structure](https://github.com/lobehub/lobe-chat/wiki/Folder-Structure) | [目录架构](https://github.com/lobehub/lobe-chat/wiki/Folder-Structure.zh-CN) - [Environment Setup Guide](https://github.com/lobehub/lobe-chat/wiki/Setup-Development) | [环境设置指南](https://github.com/lobehub/lobe-chat/wiki/Setup-Development.zh-CN) diff --git a/contributing/Internationalization/Add-New-Locale.md b/contributing/Internationalization/Add-New-Locale.md index ba2c4e90efac..9127b4b9649b 100644 --- a/contributing/Internationalization/Add-New-Locale.md +++ b/contributing/Internationalization/Add-New-Locale.md @@ -1,6 +1,6 @@ # New Locale Guide -LobeChat uses [lobe-i18n](https://github.com/lobehub/lobe-cli-toolbox/tree/master/packages/lobe-i18n) as the i18n solution, which allows for quick addition of new language support in the application. +Mr.🆖 AI uses [lobe-i18n](https://github.com/lobehub/lobe-cli-toolbox/tree/master/packages/lobe-i18n) as the i18n solution, which allows for quick addition of new language support in the application. ## TOC @@ -12,7 +12,7 @@ LobeChat uses [lobe-i18n](https://github.com/lobehub/lobe-cli-toolbox/tree/maste ## Adding New Language Support -To add new language internationalization support in LobeChat (for example, adding Vietnamese `vi-VN`), please follow the steps below: +To add new language internationalization support in Mr.🆖 AI (for example, adding Vietnamese `vi-VN`), please follow the steps below: ### Step 1: Update the Internationalization Configuration File @@ -37,7 +37,7 @@ module.exports = { ### Step 2: Automatically Translate Language Files -LobeChat uses the `lobe-i18n` tool to automatically translate language files, so manual updating of i18n files is not required. +Mr.🆖 AI uses the `lobe-i18n` tool to automatically translate language files, so manual updating of i18n files is not required. Run the following command to automatically translate and generate the Vietnamese language files: @@ -51,12 +51,12 @@ This will utilize the `lobe-i18n` tool to process the language files. Once you have completed the above steps, you need to submit your changes and create a Pull Request. -Ensure that you follow LobeChat's contribution guidelines and provide a necessary description to explain your changes. For example, refer to a similar previous Pull Request [#759](https://github.com/lobehub/lobe-chat/pull/759). +Ensure that you follow Mr.🆖 AI's contribution guidelines and provide a necessary description to explain your changes. For example, refer to a similar previous Pull Request [#759](https://github.com/lobehub/lobe-chat/pull/759). ### Additional Information - After submitting your Pull Request, please patiently wait for the project maintainers to review it. -- If you encounter any issues, you can reach out to the LobeChat community for assistance. +- If you encounter any issues, you can reach out to the Mr.🆖 AI community for assistance. - For more accurate results, ensure that your Pull Request is based on the latest main branch and stays in sync with the main branch. -By following the above steps, you can successfully add new language support to LobeChat and ensure that the application provides a localized experience for more users. +By following the above steps, you can successfully add new language support to Mr.🆖 AI and ensure that the application provides a localized experience for more users. diff --git a/contributing/Internationalization/Add-New-Locale.zh-CN.md b/contributing/Internationalization/Add-New-Locale.zh-CN.md index 6072e169140f..b95584513810 100644 --- a/contributing/Internationalization/Add-New-Locale.zh-CN.md +++ b/contributing/Internationalization/Add-New-Locale.zh-CN.md @@ -1,6 +1,6 @@ # 新语种添加指南 -LobeChat 使用 [lobe-i18n](https://github.com/lobehub/lobe-cli-toolbox/tree/master/packages/lobe-i18n) 作为 i18n 解决方案,可以在应用中快速添加新的语言支持。 +Mr.🆖 AI 使用 [lobe-i18n](https://github.com/lobehub/lobe-cli-toolbox/tree/master/packages/lobe-i18n) 作为 i18n 解决方案,可以在应用中快速添加新的语言支持。 ## TOC @@ -12,7 +12,7 @@ LobeChat 使用 [lobe-i18n](https://github.com/lobehub/lobe-cli-toolbox/tree/mas ## 添加新的语言支持 -为了在 LobeChat 中添加新的语言国际化支持,(例如添加越南语 `vi-VN`),请按照以下步骤操作: +为了在 Mr.🆖 AI 中添加新的语言国际化支持,(例如添加越南语 `vi-VN`),请按照以下步骤操作: ### 步骤 1: 更新国际化配置文件 @@ -37,7 +37,7 @@ module.exports = { ### 步骤 2: 自动翻译语言文件 -LobeChat 使用 `lobe-i18n` 工具来自动翻译语言文件,因此不需要手动更新 i18n 文件。 +Mr.🆖 AI 使用 `lobe-i18n` 工具来自动翻译语言文件,因此不需要手动更新 i18n 文件。 运行以下命令来自动翻译并生成越南语的语言文件: @@ -51,12 +51,12 @@ npm run i18n 一旦你完成了上述步骤,你需要提交你的更改并创建一个 Pull Request。 -请确保你遵循了 LobeChat 的贡献指南,并提供必要的描述来说明你的更改。例如,参考之前的类似 Pull Request [#759](https://github.com/lobehub/lobe-chat/pull/759)。 +请确保你遵循了 Mr.🆖 AI 的贡献指南,并提供必要的描述来说明你的更改。例如,参考之前的类似 Pull Request [#759](https://github.com/lobehub/lobe-chat/pull/759)。 ### 附加信息 - 提交你的 Pull Request 后,请耐心等待项目维护人员的审查。 -- 如果遇到任何问题,可以联系 LobeChat 社区寻求帮助。 +- 如果遇到任何问题,可以联系 Mr.🆖 AI 社区寻求帮助。 - 为了更精确的结果,确保你的 Pull Request 是基于最新的主分支,并且与主分支保持同步。 -通过遵循上述步骤,你可以成功为 LobeChat 添加新的语言支持,并且确保应用能够为更多用户提供本地化的体验。 +通过遵循上述步骤,你可以成功为 Mr.🆖 AI 添加新的语言支持,并且确保应用能够为更多用户提供本地化的体验。 diff --git a/contributing/Internationalization/Internationalization-Implementation.md b/contributing/Internationalization/Internationalization-Implementation.md index c5b3f8d705ee..aa43f7931721 100644 --- a/contributing/Internationalization/Internationalization-Implementation.md +++ b/contributing/Internationalization/Internationalization-Implementation.md @@ -1,6 +1,6 @@ # Internationalization Implementation Guide -Welcome to the LobeChat Internationalization Implementation Guide. This document will guide you through understanding the internationalization mechanism of LobeChat, including file structure and how to add new languages. LobeChat uses `i18next` and `lobe-i18n` as the internationalization solution, aiming to provide users with seamless multilingual support. +Welcome to the Mr.🆖 AI Internationalization Implementation Guide. This document will guide you through understanding the internationalization mechanism of Mr.🆖 AI, including file structure and how to add new languages. Mr.🆖 AI uses `i18next` and `lobe-i18n` as the internationalization solution, aiming to provide users with seamless multilingual support. ## TOC @@ -12,11 +12,11 @@ Welcome to the LobeChat Internationalization Implementation Guide. This document ## Internationalization Overview -Internationalization (i18n for short) is the process of enabling an application to adapt to different languages and regions. In LobeChat, we support multiple languages and achieve dynamic language switching and content localization through the `i18next` library. Our goal is to provide a localized experience for global users. +Internationalization (i18n for short) is the process of enabling an application to adapt to different languages and regions. In Mr.🆖 AI, we support multiple languages and achieve dynamic language switching and content localization through the `i18next` library. Our goal is to provide a localized experience for global users. ## File Structure -In the LobeChat project, internationalization-related files are organized as follows: +In the Mr.🆖 AI project, internationalization-related files are organized as follows: - `src/locales/default`: Contains translation files for the default development language (Chinese), which we use as Chinese. - `locales`: Contains folders for all supported languages, with each language folder containing the respective translation files generated by lobe-i18n. @@ -62,14 +62,14 @@ locales ## Core Implementation Logic -The internationalization core implementation logic of LobeChat is as follows: +The internationalization core implementation logic of Mr.🆖 AI is as follows: - Initialize and configure using the `i18next` library. - Automatically detect the user's language preference using `i18next-browser-languagedetector`. - Dynamically load translation resources using `i18next-resources-to-backend`. - Set the direction of the HTML document (LTR or RTL) based on the user's language preference. -Here is a simplified pseudo code example to illustrate the core implementation logic of internationalization in LobeChat: +Here is a simplified pseudo code example to illustrate the core implementation logic of internationalization in Mr.🆖 AI: ```ts import i18n from 'i18next'; @@ -103,7 +103,7 @@ const createI18nInstance = (lang) => { }; ``` -In this example, we demonstrate how to use `i18next` and related plugins to initialize internationalization settings. We dynamically import translation resources and respond to language change events to adjust the text direction of the page. This process provides LobeChat with flexible multilingual support capabilities. +In this example, we demonstrate how to use `i18next` and related plugins to initialize internationalization settings. We dynamically import translation resources and respond to language change events to adjust the text direction of the page. This process provides Mr.🆖 AI with flexible multilingual support capabilities. ## Adding Support for New Languages @@ -122,4 +122,4 @@ To add support for new languages, please refer to the detailed steps in the [New - [i18next Official Documentation](https://www.i18next.com/) - [lobe-i18n Tool Description](https://github.com/lobehub/lobe-cli-toolbox/tree/master/packages/lobe-i18n) -By following this guide, you can better understand and participate in the internationalization work of LobeChat, providing a seamless multilingual experience for global users. +By following this guide, you can better understand and participate in the internationalization work of Mr.🆖 AI, providing a seamless multilingual experience for global users. diff --git a/contributing/Internationalization/Internationalization-Implementation.zh-CN.md b/contributing/Internationalization/Internationalization-Implementation.zh-CN.md index 9d501faebc96..021b0ff67455 100644 --- a/contributing/Internationalization/Internationalization-Implementation.zh-CN.md +++ b/contributing/Internationalization/Internationalization-Implementation.zh-CN.md @@ -1,6 +1,6 @@ # 国际化实现指南 -欢迎阅读 LobeChat 国际化实现指南。本文档将指导你了解 LobeChat 的国际化机制,包括文件结构、如何添加新语种。LobeChat 采用 `i18next` 和 `lobe-i18n` 作为国际化解决方案,旨在为用户提供流畅的多语言支持。 +欢迎阅读 Mr.🆖 AI 国际化实现指南。本文档将指导你了解 Mr.🆖 AI 的国际化机制,包括文件结构、如何添加新语种。Mr.🆖 AI 采用 `i18next` 和 `lobe-i18n` 作为国际化解决方案,旨在为用户提供流畅的多语言支持。 ## TOC @@ -12,11 +12,11 @@ ## 国际化概述 -国际化(Internationalization,简称为 i18n)是一个让应用能够适应不同语言和地区的过程。在 LobeChat 中,我们支持多种语言,并通过 `i18next` 库来实现语言的动态切换和内容的本地化。我们的目标是让 LobeChat 能够为全球用户提供本地化的体验。 +国际化(Internationalization,简称为 i18n)是一个让应用能够适应不同语言和地区的过程。在 Mr.🆖 AI 中,我们支持多种语言,并通过 `i18next` 库来实现语言的动态切换和内容的本地化。我们的目标是让 Mr.🆖 AI 能够为全球用户提供本地化的体验。 ## 文件结构 -在 LobeChat 的项目中,国际化相关的文件被组织如下: +在 Mr.🆖 AI 的项目中,国际化相关的文件被组织如下: - `src/locales/default`: 包含默认开发语言(中文)的翻译文件,我们作为中文。 - `locales`: 包含所有支持的语言文件夹,每个语言文件夹中包含相应语言的翻译文件,这些翻译文件通过 lobe-i18n 自动生成。 @@ -62,14 +62,14 @@ locales ## 核心实现逻辑 -LobeChat 的国际化核心实现逻辑如下: +Mr.🆖 AI 的国际化核心实现逻辑如下: - 使用 `i18next` 库进行初始化和配置。 - 使用 `i18next-browser-languagedetector` 自动检测用户的语言偏好。 - 使用 `i18next-resources-to-backend` 动态加载翻译资源。 - 根据用户的语言偏好,设置 HTML 文档的方向(LTR 或 RTL)。 -以下是一个简化的伪代码示例,用以说明 LobeChat 国际化的核心实现逻辑: +以下是一个简化的伪代码示例,用以说明 Mr.🆖 AI 国际化的核心实现逻辑: ```ts import i18n from 'i18next'; @@ -103,7 +103,7 @@ const createI18nInstance = (lang) => { }; ``` -在这个示例中,我们展示了如何使用 `i18next` 和相关插件来初始化国际化设置。我们动态导入了翻译资源,并响应语言变化事件来调整页面的文本方向。这个过程为 LobeChat 提供了灵活的多语言支持能力。 +在这个示例中,我们展示了如何使用 `i18next` 和相关插件来初始化国际化设置。我们动态导入了翻译资源,并响应语言变化事件来调整页面的文本方向。这个过程为 Mr.🆖 AI 提供了灵活的多语言支持能力。 ## 添加新的语言支持 @@ -122,4 +122,4 @@ const createI18nInstance = (lang) => { - [i18next 官方文档](https://www.i18next.com/) - [lobe-i18n 工具说明](https://github.com/lobehub/lobe-cli-toolbox/tree/master/packages/lobe-i18n) -通过遵循本指南,你可以更好地理解和参与到 LobeChat 的国际化工作中,为全球用户提供无缝的多语言体验。 +通过遵循本指南,你可以更好地理解和参与到 Mr.🆖 AI 的国际化工作中,为全球用户提供无缝的多语言体验。 diff --git a/contributing/State-Management/State-Management-Intro.md b/contributing/State-Management/State-Management-Intro.md index 9529413613c6..8b650b7c418f 100644 --- a/contributing/State-Management/State-Management-Intro.md +++ b/contributing/State-Management/State-Management-Intro.md @@ -1,12 +1,12 @@ # Best Practices for State Management -LobeChat differs from traditional CRUD web applications in that it involves a large amount of rich interactive capabilities. Therefore, it is crucial to design a data flow architecture that is easy to develop and maintain. This document will introduce the best practices for data flow management in LobeChat. +Mr.🆖 AI differs from traditional CRUD web applications in that it involves a large amount of rich interactive capabilities. Therefore, it is crucial to design a data flow architecture that is easy to develop and maintain. This document will introduce the best practices for data flow management in Mr.🆖 AI. ## TOC - [Key Concepts](#key-concepts) - [Hierarchical Structure](#hierarchical-structure) - - [Best Practices for LobeChat SessionStore Directory Structure](#best-practices-for-lobechat-sessionstore-directory-structure) + - [Best Practices for Mr.🆖 AI SessionStore Directory Structure](#best-practices-for-Mr.🆖 AI-sessionstore-directory-structure) - [Implementation of SessionStore](#implementation-of-sessionstore) ## Key Concepts @@ -67,10 +67,10 @@ SortableTree/store - **High Complexity**: Involves over 30 states and 20 actions, requiring modular cohesion using slices. Each slice declares its own initState, actions, reducers, and selectors. -The directory structure of the previous version of SessionStore for LobeChat, with high complexity, implements a large amount of business logic. However, with the modularization of slices and the fractal architecture, it is easy to find the corresponding modules, making it easy to maintain and iterate on new features. +The directory structure of the previous version of SessionStore for Mr.🆖 AI, with high complexity, implements a large amount of business logic. However, with the modularization of slices and the fractal architecture, it is easy to find the corresponding modules, making it easy to maintain and iterate on new features. ```bash -LobeChat SessionStore +Mr.🆖 AI SessionStore ├── index.ts ├── initialState.ts ├── selectors.ts @@ -110,11 +110,11 @@ LobeChat SessionStore └── store.ts ``` -Based on the provided directory structure of LobeChat SessionStore, we can update the previous document and convert the examples to the implementation of LobeChat's SessionStore. The following is a portion of the updated document: +Based on the provided directory structure of Mr.🆖 AI SessionStore, we can update the previous document and convert the examples to the implementation of Mr.🆖 AI's SessionStore. The following is a portion of the updated document: -### Best Practices for LobeChat SessionStore Directory Structure +### Best Practices for Mr.🆖 AI SessionStore Directory Structure -In the LobeChat application, session management is a complex functional module, so we use the Slice pattern to organize the data flow. Below is the directory structure of LobeChat SessionStore, where each directory and file has its specific purpose: +In the Mr.🆖 AI application, session management is a complex functional module, so we use the Slice pattern to organize the data flow. Below is the directory structure of Mr.🆖 AI SessionStore, where each directory and file has its specific purpose: ```bash src/store/session @@ -149,7 +149,7 @@ src/store/session ## Implementation of SessionStore -In LobeChat, the SessionStore is designed as the core module for managing session state and logic. It consists of multiple Slices, with each Slice managing a relevant portion of state and logic. Below is a simplified example of the SessionStore implementation: +In Mr.🆖 AI, the SessionStore is designed as the core module for managing session state and logic. It consists of multiple Slices, with each Slice managing a relevant portion of state and logic. Below is a simplified example of the SessionStore implementation: #### store.ts @@ -180,7 +180,7 @@ export const useSessionStore = createWithEqualityFn()( persist( subscribeWithSelector( devtools(createStore, { - name: 'LobeChat_Session' + (isDev ? '_DEV' : ''), + name: 'Mr.🆖 AI_Session' + (isDev ? '_DEV' : ''), }), ), persistOptions, @@ -221,4 +221,4 @@ export const createSessionSlice: StateCreator< In the `action.ts` file, we define a `SessionActions` interface to describe session-related actions and implement a `useFetchSessions` function to create these actions. Then, we merge these actions with the initial state to form the session-related Slice. -Through this layered and modular approach, we can ensure that LobeChat's SessionStore is clear, maintainable, and easy to extend and test. +Through this layered and modular approach, we can ensure that Mr.🆖 AI's SessionStore is clear, maintainable, and easy to extend and test. diff --git a/contributing/State-Management/State-Management-Intro.zh-CN.md b/contributing/State-Management/State-Management-Intro.zh-CN.md index 5310cb096b45..d79ed6384a4d 100644 --- a/contributing/State-Management/State-Management-Intro.zh-CN.md +++ b/contributing/State-Management/State-Management-Intro.zh-CN.md @@ -1,12 +1,12 @@ # 状态管理最佳实践 -LobeChat 不同于传统 CRUD 的网页,存在大量的富交互能力,如何设计一个易于开发与易于维护的数据流架构非常重要。本篇文档将介绍 LobeChat 中的数据流管理最佳实践。 +Mr.🆖 AI 不同于传统 CRUD 的网页,存在大量的富交互能力,如何设计一个易于开发与易于维护的数据流架构非常重要。本篇文档将介绍 Mr.🆖 AI 中的数据流管理最佳实践。 ## TOC - [概念要素](#概念要素) - [结构分层](#结构分层) - - [LobeChat SessionStore 目录结构最佳实践](#lobechat-sessionstore-目录结构最佳实践) + - [Mr.🆖 AI SessionStore 目录结构最佳实践](#Mr.🆖 AI-sessionstore-目录结构最佳实践) - [SessionStore 的实现](#sessionstore-的实现) ## 概念要素 @@ -72,7 +72,7 @@ SortableTree/store 下述这个数据流的目录结构是之前一版 SessionStore,具有很高的复杂度,实现了大量的业务逻辑。但借助于 slice 的模块化和分形架构的心智,我们可以很容易地找到对应的模块,新增功能与迭代都很易于维护。 ```bash -LobeChat SessionStore +Mr.🆖 AI SessionStore ├── index.ts ├── initialState.ts ├── selectors.ts @@ -112,9 +112,9 @@ LobeChat SessionStore └── store.ts ``` -### LobeChat SessionStore 目录结构最佳实践 +### Mr.🆖 AI SessionStore 目录结构最佳实践 -在 LobeChat 应用中,由于会话管理是一个复杂的功能模块,因此我们采用了 [slice 模式](https://github.com/pmndrs/zustand/blob/main/docs/guides/slices-pattern.md) 来组织数据流。下面是 LobeChat SessionStore 的目录结构,其中每个目录和文件都有其特定的用途: +在 Mr.🆖 AI 应用中,由于会话管理是一个复杂的功能模块,因此我们采用了 [slice 模式](https://github.com/pmndrs/zustand/blob/main/docs/guides/slices-pattern.md) 来组织数据流。下面是 Mr.🆖 AI SessionStore 的目录结构,其中每个目录和文件都有其特定的用途: ```fish src/store/session @@ -141,7 +141,7 @@ src/store/session ## SessionStore 的实现 -在 LobeChat 中,SessionStore 被设计为管理会话状态和逻辑的核心模块。它由多个 Slices 组成,每个 Slice 管理一部分相关的状态和逻辑。下面是一个简化的 SessionStore 的实现示例: +在 Mr.🆖 AI 中,SessionStore 被设计为管理会话状态和逻辑的核心模块。它由多个 Slices 组成,每个 Slice 管理一部分相关的状态和逻辑。下面是一个简化的 SessionStore 的实现示例: #### store.ts @@ -172,7 +172,7 @@ export const useSessionStore = createWithEqualityFn()( persist( subscribeWithSelector( devtools(createStore, { - name: 'LobeChat_Session' + (isDev ? '_DEV' : ''), + name: 'Mr.🆖 AI_Session' + (isDev ? '_DEV' : ''), }), ), persistOptions, @@ -213,4 +213,4 @@ export const createSessionSlice: StateCreator< 在 `action.ts` 文件中,我们定义了一个 `SessionActions` 接口来描述会话相关的动作,并且实现了一个 `useFetchSessions` 函数来创建这些动作。然后,我们将这些动作与初始状态合并,以形成会话相关的 Slice。 -通过这种结构分层和模块化的方法,我们可以确保 LobeChat 的 SessionStore 是清晰、可维护的,同时也便于扩展和测试。 +通过这种结构分层和模块化的方法,我们可以确保 Mr.🆖 AI 的 SessionStore 是清晰、可维护的,同时也便于扩展和测试。 diff --git a/contributing/State-Management/State-Management-Selectors.md b/contributing/State-Management/State-Management-Selectors.md index 4271a66bf1e8..fef0890a73b3 100644 --- a/contributing/State-Management/State-Management-Selectors.md +++ b/contributing/State-Management/State-Management-Selectors.md @@ -1,6 +1,6 @@ # Data Store Selector -Selectors are data retrieval modules under the LobeChat data flow development framework. Their role is to extract data from the store using specific business logic for consumption by components. +Selectors are data retrieval modules under the Mr.🆖 AI data flow development framework. Their role is to extract data from the store using specific business logic for consumption by components. Taking `src/store/plugin/selectors.ts` as an example: @@ -60,9 +60,9 @@ The benefits of implementing this approach are: 1. **Decoupling and reusability**: By separating selectors from components, we can reuse these selectors across multiple components without rewriting data retrieval logic. This reduces duplicate code, improves development efficiency, and makes the codebase cleaner and easier to maintain. 2. **Performance optimization**: Selectors can be used to compute derived data, avoiding redundant calculations in each component. When the state changes, only the selectors dependent on that part of the state will recalculate, reducing unnecessary rendering and computation. 3. **Ease of testing**: Selectors are pure functions, relying only on the passed parameters. This means they can be tested in an isolated environment without the need to simulate the entire store or component tree. -4. **Type safety**: As LobeChat uses TypeScript, each selector has explicit input and output type definitions. This provides developers with the advantage of auto-completion and compile-time checks, reducing runtime errors. +4. **Type safety**: As Mr.🆖 AI uses TypeScript, each selector has explicit input and output type definitions. This provides developers with the advantage of auto-completion and compile-time checks, reducing runtime errors. 5. **Maintainability**: Selectors centralize the logic for reading state, making it more intuitive to track state changes and management. If the state structure changes, only the relevant selectors need to be updated, rather than searching and replacing in multiple places throughout the codebase. 6. **Composability**: Selectors can be composed with other selectors to create more complex selection logic. This pattern allows developers to build a hierarchy of selectors, making state selection more flexible and powerful. 7. **Simplified component logic**: Components do not need to know the structure of the state or how to retrieve and compute the required data. Components only need to call selectors to obtain the data needed for rendering, simplifying and clarifying component logic. -With this design, LobeChat developers can focus more on building the user interface and business logic without worrying about the details of data retrieval and processing. This pattern also provides better adaptability and scalability for potential future changes in state structure. +With this design, Mr.🆖 AI developers can focus more on building the user interface and business logic without worrying about the details of data retrieval and processing. This pattern also provides better adaptability and scalability for potential future changes in state structure. diff --git a/contributing/State-Management/State-Management-Selectors.zh-CN.md b/contributing/State-Management/State-Management-Selectors.zh-CN.md index 7cf80311945e..2503ba671eaf 100644 --- a/contributing/State-Management/State-Management-Selectors.zh-CN.md +++ b/contributing/State-Management/State-Management-Selectors.zh-CN.md @@ -1,6 +1,6 @@ # 数据存储取数模块 -selectors 是 LobeChat 数据流研发框架下的取数模块,它的作用是从 store 中以特定特务逻辑取出数据,供组件消费使用。 +selectors 是 Mr.🆖 AI 数据流研发框架下的取数模块,它的作用是从 store 中以特定特务逻辑取出数据,供组件消费使用。 以 `src/store/tool/slices/plugin/selectors.ts` 为例: @@ -41,9 +41,9 @@ const Render = () => { 1. **解耦和重用**:通过将选择器独立于组件,我们可以在多个组件之间复用这些选择器而不需要重写取数逻辑。这减少了重复代码,提高了开发效率,并且使得代码库更加干净和易于维护。 2. **性能优化**:选择器可以用来计算派生数据,这样可以避免在每个组件中重复计算相同的数据。当状态发生变化时,只有依赖于这部分状态的选择器才会重新计算,从而减少不必要的渲染和计算。 3. **易于测试**:选择器是纯函数,它们仅依赖于传入的参数。这意味着它们可以在隔离的环境中进行测试,无需模拟整个 store 或组件树。 -4. **类型安全**:由于 LobeChat 使用 TypeScript,每个选择器都有明确的输入和输出类型定义。这为开发者提供了自动完成和编译时检查的优势,减少了运行时错误。 +4. **类型安全**:由于 Mr.🆖 AI 使用 TypeScript,每个选择器都有明确的输入和输出类型定义。这为开发者提供了自动完成和编译时检查的优势,减少了运行时错误。 5. **可维护性**:选择器集中了状态的读取逻辑,使得跟踪状态的变化和管理更加直观。如果状态结构发生变化,我们只需要更新相应的选择器,而不是搜索和替换整个代码库中的多个位置。 6. **可组合性**:选择器可以组合其他选择器,以创建更复杂的选择逻辑。这种模式允许开发者构建一个选择器层次结构,使得状态选择更加灵活和强大。 7. **简化组件逻辑**:组件不需要知道状态的结构或如何获取和计算需要的数据。组件只需调用选择器即可获取渲染所需的数据,这使得组件逻辑变得更简单和清晰。 -通过这样的设计,LobeChat 的开发者可以更专注于构建用户界面和业务逻辑,而不必担心数据的获取和处理细节。这种模式也为未来可能的状态结构变更提供了更好的适应性和扩展性。 +通过这样的设计,Mr.🆖 AI 的开发者可以更专注于构建用户界面和业务逻辑,而不必担心数据的获取和处理细节。这种模式也为未来可能的状态结构变更提供了更好的适应性和扩展性。 diff --git a/contributing/Upstream-Sync.md b/contributing/Upstream-Sync.md index 7f63cb320931..2aeecad3ac03 100644 --- a/contributing/Upstream-Sync.md +++ b/contributing/Upstream-Sync.md @@ -23,22 +23,22 @@ Once you have forked the project, due to Github restrictions, you will need to m ## `B` Docker Deployment -Upgrading the Docker deployment version is very simple, just redeploy the latest image of LobeChat. Here are the instructions to perform these steps: +Upgrading the Docker deployment version is very simple, just redeploy the latest image of Mr.🆖 AI. Here are the instructions to perform these steps: -1. Stop and delete the currently running LobeChat container (assuming the name of the LobeChat container is `lobe-chat`): +1. Stop and delete the currently running Mr.🆖 AI container (assuming the name of the Mr.🆖 AI container is `lobe-chat`): ```fish docker stop lobe-chat docker rm lobe-chat ``` -2. Pull the latest Docker image of LobeChat: +2. Pull the latest Docker image of Mr.🆖 AI: ```fish docker pull lobehub/lobe-chat ``` -3. Redeploy the LobeChat container using the newly pulled image: +3. Redeploy the Mr.🆖 AI container using the newly pulled image: ```fish docker run -d -p 3210:3210 \ @@ -55,4 +55,4 @@ Make sure you have sufficient permissions to stop and delete the container befor > > If I redeploy, will my local chat history be lost? > -> Don't worry, all of LobeChat's chat history is stored in your local browser. Therefore, when you redeploy LobeChat using Docker, your chat history will not be lost. +> Don't worry, all of Mr.🆖 AI's chat history is stored in your local browser. Therefore, when you redeploy Mr.🆖 AI using Docker, your chat history will not be lost. diff --git a/contributing/Upstream-Sync.zh-CN.md b/contributing/Upstream-Sync.zh-CN.md index 8580d15c8bdb..03f503fb72ed 100644 --- a/contributing/Upstream-Sync.zh-CN.md +++ b/contributing/Upstream-Sync.zh-CN.md @@ -23,22 +23,22 @@ ## `B` Docker 部署 -Docker 部署版本的升级非常简单,只需要重新部署 LobeChat 的最新镜像即可。 以下是执行这些步骤所需的指令: +Docker 部署版本的升级非常简单,只需要重新部署 Mr.🆖 AI 的最新镜像即可。 以下是执行这些步骤所需的指令: -1. 停止并删除当前运行的 LobeChat 容器(假设 LobeChat 容器的名称是 `lobe-chat`): +1. 停止并删除当前运行的 Mr.🆖 AI 容器(假设 Mr.🆖 AI 容器的名称是 `lobe-chat`): ```fish docker stop lobe-chat docker rm lobe-chat ``` -2. 拉取 LobeChat 的最新 Docker 镜像: +2. 拉取 Mr.🆖 AI 的最新 Docker 镜像: ```fish docker pull lobehub/lobe-chat ``` -3. 使用新拉取的镜像重新部署 LobeChat 容器: +3. 使用新拉取的镜像重新部署 Mr.🆖 AI 容器: ```fish docker run -d -p 3210:3210 \ @@ -55,4 +55,4 @@ docker run -d -p 3210:3210 \ > > 重新部署的话,我本地的聊天记录会丢失吗? > -> 放心,LobeChat 的聊天记录全部都存储在你的本地浏览器中。因此使用 Docker 重新部署 LobeChat 时,你的聊天记录并不会丢失。 +> 放心,Mr.🆖 AI 的聊天记录全部都存储在你的本地浏览器中。因此使用 Docker 重新部署 Mr.🆖 AI 时,你的聊天记录并不会丢失。 diff --git a/contributing/_Sidebar.md b/contributing/_Sidebar.md index 435de075dd12..3cec7730c56d 100644 --- a/contributing/_Sidebar.md +++ b/contributing/_Sidebar.md @@ -10,7 +10,7 @@ - [Architecture Design](https://github.com/lobehub/lobe-chat/wiki/Architecture) | [架构设计](https://github.com/lobehub/lobe-chat/wiki/Architecture.zh-CN) - [Code Style and Contribution Guidelines](https://github.com/lobehub/lobe-chat/wiki/Contributing-Guidelines) | [代码风格与贡献指南](https://github.com/lobehub/lobe-chat/wiki/Contributing-Guidelines.zh-CN) -- [Complete Guide to LobeChat Feature Development](https://github.com/lobehub/lobe-chat/wiki/Feature-Development) | [LobeChat 功能开发完全指南](https://github.com/lobehub/lobe-chat/wiki/Feature-Development.zh-CN) +- [Complete Guide to Mr.🆖 AI Feature Development](https://github.com/lobehub/lobe-chat/wiki/Feature-Development) | [Mr.🆖 AI 功能开发完全指南](https://github.com/lobehub/lobe-chat/wiki/Feature-Development.zh-CN) - [Conversation API Implementation Logic](https://github.com/lobehub/lobe-chat/wiki/Chat-API) | [会话 API 实现逻辑](https://github.com/lobehub/lobe-chat/wiki/Chat-API.zh-CN) - [Directory Structure](https://github.com/lobehub/lobe-chat/wiki/Folder-Structure) | [目录架构](https://github.com/lobehub/lobe-chat/wiki/Folder-Structure.zh-CN) - [Environment Setup Guide](https://github.com/lobehub/lobe-chat/wiki/Setup-Development) | [环境设置指南](https://github.com/lobehub/lobe-chat/wiki/Setup-Development.zh-CN) diff --git a/docker-compose/local/.env.example b/docker-compose/local/.env.example index 40ccc8e622a2..cd45a9ee9ff6 100644 --- a/docker-compose/local/.env.example +++ b/docker-compose/local/.env.example @@ -18,7 +18,7 @@ CASDOOR_PORT=8000 MINIO_PORT=9000 # Postgres related, which are the necessary environment variables for DB -LOBE_DB_NAME=lobechat +LOBE_DB_NAME=Mr.🆖 AI POSTGRES_PASSWORD=uWNZugjBqixf8dxC # Casdoor secret diff --git a/docker-compose/local/.env.zh-CN.example b/docker-compose/local/.env.zh-CN.example index f2e174e58499..5328fc143980 100644 --- a/docker-compose/local/.env.zh-CN.example +++ b/docker-compose/local/.env.zh-CN.example @@ -18,7 +18,7 @@ CASDOOR_PORT=8000 MINIO_PORT=9000 # Postgres 相关,也即 DB 必须的环境变量 -LOBE_DB_NAME=lobechat +LOBE_DB_NAME=Mr.🆖 AI POSTGRES_PASSWORD=uWNZugjBqixf8dxC # Casdoor secret diff --git a/docker-compose/local/docker-compose.yml b/docker-compose/local/docker-compose.yml index 60688983c1d0..8eb4439f917c 100644 --- a/docker-compose/local/docker-compose.yml +++ b/docker-compose/local/docker-compose.yml @@ -7,7 +7,7 @@ services: - '${MINIO_PORT}:${MINIO_PORT}' # MinIO API - '9001:9001' # MinIO Console - '${CASDOOR_PORT}:${CASDOOR_PORT}' # Casdoor - - '${LOBE_PORT}:3210' # LobeChat + - '${LOBE_PORT}:3210' # Mr.🆖 AI command: tail -f /dev/null networks: - lobe-network diff --git a/docker-compose/local/init_data.json b/docker-compose/local/init_data.json index c87d9c58baed..fd4db9b34109 100644 --- a/docker-compose/local/init_data.json +++ b/docker-compose/local/init_data.json @@ -34,10 +34,10 @@ "owner": "admin", "name": "app-built-in", "createdTime": "2024-09-09T09:26:06Z", - "displayName": "LobeChat", + "displayName": "Mr.🆖 AI", "logo": "https://lobehub.com/icon-192x192.png", "homepageUrl": "https://lobehub.com", - "description": "LobeChat", + "description": "Mr.🆖 AI", "organization": "built-in", "cert": "cert-built-in", "headerHtml": "", diff --git a/docker-compose/local/logto/.env.example b/docker-compose/local/logto/.env.example index 9377bfe0a90e..75cfe112008d 100644 --- a/docker-compose/local/logto/.env.example +++ b/docker-compose/local/logto/.env.example @@ -30,5 +30,5 @@ LOGTO_PORT=3001 MINIO_PORT=9000 # Postgres related, which are the necessary environment variables for DB -LOBE_DB_NAME=lobechat +LOBE_DB_NAME=Mr.🆖 AI POSTGRES_PASSWORD=uWNZugjBqixf8dxC diff --git a/docker-compose/local/logto/.env.zh-CN.example b/docker-compose/local/logto/.env.zh-CN.example index a5021a9765c3..57286345555a 100644 --- a/docker-compose/local/logto/.env.zh-CN.example +++ b/docker-compose/local/logto/.env.zh-CN.example @@ -30,5 +30,5 @@ LOGTO_PORT=3001 MINIO_PORT=9000 # Postgres 相关,也即 DB 必须的环境变量 -LOBE_DB_NAME=lobechat +LOBE_DB_NAME=Mr.🆖 AI POSTGRES_PASSWORD=uWNZugjBqixf8dxC diff --git a/docker-compose/local/logto/docker-compose.yml b/docker-compose/local/logto/docker-compose.yml index 006e9d21f48d..6ef71fab1b74 100644 --- a/docker-compose/local/logto/docker-compose.yml +++ b/docker-compose/local/logto/docker-compose.yml @@ -8,7 +8,7 @@ services: - '9001:9001' # MinIO Console - '${LOGTO_PORT}:${LOGTO_PORT}' # Logto - '3002:3002' # Logto Admin - - '${LOBE_PORT}:3210' # LobeChat + - '${LOBE_PORT}:3210' # Mr.🆖 AI command: tail -f /dev/null networks: - lobe-network diff --git a/docker-compose/local/setup.sh b/docker-compose/local/setup.sh index 903eb209b8b8..e892493e07c8 100644 --- a/docker-compose/local/setup.sh +++ b/docker-compose/local/setup.sh @@ -163,10 +163,10 @@ show_message() { tips_run_command) case $LANGUAGE in zh_CN) - echo "您已经完成了所有配置。请运行以下命令启动LobeChat:" + echo "您已经完成了所有配置。请运行以下命令启动Mr.🆖 AI:" ;; *) - echo "You have completed all configurations. Please run this command to start LobeChat:" + echo "You have completed all configurations. Please run this command to start Mr.🆖 AI:" ;; esac ;; diff --git a/docker-compose/local/zitadel/.env.example b/docker-compose/local/zitadel/.env.example index deda97524b7d..1f52f0a3046b 100644 --- a/docker-compose/local/zitadel/.env.example +++ b/docker-compose/local/zitadel/.env.example @@ -1,4 +1,4 @@ -# Required: LobeChat domain for tRPC calls +# Required: Mr.🆖 AI domain for tRPC calls # Ensure this domain is whitelisted in your NextAuth providers and S3 service CORS settings APP_URL=http://localhost:3210 @@ -6,7 +6,7 @@ APP_URL=http://localhost:3210 # Required: Secret key for encrypting sensitive information. Generate with: openssl rand -base64 32 KEY_VAULTS_SECRET=Kix2wcUONd4CX51E/ZPAd36BqM4wzJgKjPtz2sGztqQ= # Required: Postgres database connection string -DATABASE_URL=postgresql://postgres:uWNZugjBqixf8dxC@postgresql:5432/lobechat +DATABASE_URL=postgresql://postgres:uWNZugjBqixf8dxC@postgresql:5432/Mr.🆖 AI # NEXT_AUTH related environment variables NEXTAUTH_URL=http://localhost:3210/api/auth diff --git a/docker-compose/local/zitadel/.env.zh-CN.example b/docker-compose/local/zitadel/.env.zh-CN.example index ce7316f3073f..11f67beaa3c9 100644 --- a/docker-compose/local/zitadel/.env.zh-CN.example +++ b/docker-compose/local/zitadel/.env.zh-CN.example @@ -1,11 +1,11 @@ -# LobeChat 域名 +# Mr.🆖 AI 域名 APP_URL=http://localhost:3210 # Postgres 相关,也即 DB 必须的环境变量 # 用于加密敏感信息的密钥,可以使用 openssl rand -base64 32 生成 KEY_VAULTS_SECRET=Kix2wcUONd4CX51E/ZPAd36BqM4wzJgKjPtz2sGztqQ= # Postgres 数据库连接字符串 -DATABASE_URL=postgresql://postgres:uWNZugjBqixf8dxC@postgresql:5432/lobechat +DATABASE_URL=postgresql://postgres:uWNZugjBqixf8dxC@postgresql:5432/Mr.🆖 AI # NEXT_AUTH 相关 NEXTAUTH_URL=http://localhost:3210/api/auth diff --git a/docker-compose/local/zitadel/docker-compose.yml b/docker-compose/local/zitadel/docker-compose.yml index 17fc1de579ae..caf9767f365f 100644 --- a/docker-compose/local/zitadel/docker-compose.yml +++ b/docker-compose/local/zitadel/docker-compose.yml @@ -7,7 +7,7 @@ services: - '9000:9000' # MinIO API - '9001:9001' # MinIO Console - '8080:8080' # Zitadel Console - - '3210:3210' # LobeChat + - '3210:3210' # Mr.🆖 AI command: tail -f /dev/null networks: - lobe-network @@ -20,7 +20,7 @@ services: volumes: - './data:/var/lib/postgresql/data' environment: - - 'POSTGRES_DB=lobechat' + - 'POSTGRES_DB=Mr.🆖 AI' - 'POSTGRES_PASSWORD=uWNZugjBqixf8dxC' healthcheck: test: ['CMD-SHELL', 'pg_isready -U postgres'] diff --git a/docker-compose/production/logto/.env.example b/docker-compose/production/logto/.env.example index b65a7b13ade0..7433b7addee8 100644 --- a/docker-compose/production/logto/.env.example +++ b/docker-compose/production/logto/.env.example @@ -1,4 +1,4 @@ -# Required: LobeChat domain for tRPC calls +# Required: Mr.🆖 AI domain for tRPC calls # Ensure this domain is whitelisted in your NextAuth providers and S3 service CORS settings APP_URL=https://lobe.example.com/ diff --git a/docker-compose/production/logto/.env.zh-CN.example b/docker-compose/production/logto/.env.zh-CN.example index 6fcba152981e..238bb39c1b33 100644 --- a/docker-compose/production/logto/.env.zh-CN.example +++ b/docker-compose/production/logto/.env.zh-CN.example @@ -1,4 +1,4 @@ -# 必填,LobeChat 域名,用于 tRPC 调用 +# 必填,Mr.🆖 AI 域名,用于 tRPC 调用 # 请保证此域名在你的 NextAuth 鉴权服务提供商、S3 服务商的 CORS 白名单中 APP_URL=https://lobe.example.com/ diff --git a/docker-compose/production/logto/docker-compose.yml b/docker-compose/production/logto/docker-compose.yml index 764c38edf9ba..39a644b135c0 100644 --- a/docker-compose/production/logto/docker-compose.yml +++ b/docker-compose/production/logto/docker-compose.yml @@ -29,7 +29,7 @@ services: - 'MINIO_ROOT_USER=YOUR_MINIO_USER' - 'MINIO_ROOT_PASSWORD=YOUR_MINIO_PASSWORD' - 'MINIO_DOMAIN=lobe-s3-api.example.com' - - 'MINIO_API_CORS_ALLOW_ORIGIN=https://lobe.example.com' # Your LobeChat's domain name. + - 'MINIO_API_CORS_ALLOW_ORIGIN=https://lobe.example.com' # Your Mr.🆖 AI's domain name. restart: always command: > server /etc/minio/data --address ":9000" --console-address ":9001" diff --git a/docker-compose/production/zitadel/.env.example b/docker-compose/production/zitadel/.env.example index 410630f3ff28..65be5aa7b137 100644 --- a/docker-compose/production/zitadel/.env.example +++ b/docker-compose/production/zitadel/.env.example @@ -1,4 +1,4 @@ -# Required: LobeChat domain for tRPC calls +# Required: Mr.🆖 AI domain for tRPC calls # Ensure this domain is whitelisted in your NextAuth providers and S3 service CORS settings APP_URL=https://lobe.example.com/ diff --git a/docker-compose/production/zitadel/.env.zh-CN.example b/docker-compose/production/zitadel/.env.zh-CN.example index 0184b6910665..3bc686d18620 100644 --- a/docker-compose/production/zitadel/.env.zh-CN.example +++ b/docker-compose/production/zitadel/.env.zh-CN.example @@ -1,4 +1,4 @@ -# 必填,LobeChat 域名,用于 tRPC 调用 +# 必填,Mr.🆖 AI 域名,用于 tRPC 调用 # 请保证此域名在你的 NextAuth 鉴权服务提供商、S3 服务商的 CORS 白名单中 APP_URL=https://lobe.example.com/ diff --git a/docker-compose/production/zitadel/docker-compose.yml b/docker-compose/production/zitadel/docker-compose.yml index cdbcfb96e53f..1150ed654baa 100644 --- a/docker-compose/production/zitadel/docker-compose.yml +++ b/docker-compose/production/zitadel/docker-compose.yml @@ -29,7 +29,7 @@ services: - 'MINIO_ROOT_USER=YOUR_MINIO_USER' - 'MINIO_ROOT_PASSWORD=YOUR_MINIO_PASSWORD' - 'MINIO_DOMAIN=lobe-s3-api.example.com' - - 'MINIO_API_CORS_ALLOW_ORIGIN=https://lobe.example.com' # Your LobeChat's domain name. + - 'MINIO_API_CORS_ALLOW_ORIGIN=https://lobe.example.com' # Your Mr.🆖 AI's domain name. restart: always command: > server /etc/minio/data --address ":9000" --console-address ":9001" diff --git a/docs/changelog/2023-09-09-plugin-system.mdx b/docs/changelog/2023-09-09-plugin-system.mdx index b1ad1e858f9e..9dbebd5ff0ba 100644 --- a/docs/changelog/2023-09-09-plugin-system.mdx +++ b/docs/changelog/2023-09-09-plugin-system.mdx @@ -1,18 +1,18 @@ --- -title: LobeChat Plugin Ecosystem - Functionality Extensions and Development Resources +title: Mr.🆖 AI Plugin Ecosystem - Functionality Extensions and Development Resources description: >- - Discover how the LobeChat plugin ecosystem enhances the utility and - flexibility of the LobeChat assistant, along with the development resources + Discover how the Mr.🆖 AI plugin ecosystem enhances the utility and + flexibility of the Mr.🆖 AI assistant, along with the development resources and plugin development guidelines provided. --- # Supported Plugin System -The LobeChat plugin ecosystem is a significant extension of its core functionalities, greatly enhancing the utility and flexibility of the LobeChat assistant. +The Mr.🆖 AI plugin ecosystem is a significant extension of its core functionalities, greatly enhancing the utility and flexibility of the Mr.🆖 AI assistant.
-We provide a [Docker image][docker-release-link] for deploying the LobeChat service on your private device. +We provide a [Docker image][docker-release-link] for deploying the Mr.🆖 AI service on your private device. diff --git a/docs/self-hosting/platform/docker-compose.zh-CN.mdx b/docs/self-hosting/platform/docker-compose.zh-CN.mdx index ac281712c24d..a6a610808d1e 100644 --- a/docs/self-hosting/platform/docker-compose.zh-CN.mdx +++ b/docs/self-hosting/platform/docker-compose.zh-CN.mdx @@ -1,9 +1,9 @@ --- -title: 通过 Docker Compose 部署 LobeChat -description: 学习如何使用 Docker Compose 部署 LobeChat 服务,包括安装 Docker 容器环境和自动更新脚本设置。 +title: 通过 Docker Compose 部署 Mr.🆖 AI +description: 学习如何使用 Docker Compose 部署 Mr.🆖 AI 服务,包括安装 Docker 容器环境和自动更新脚本设置。 tags: - Docker Compose - - LobeChat + - Mr.🆖 AI - Docker 容器 - 自动更新脚本 - 部署指引 @@ -21,7 +21,7 @@ tags:
-我们提供了 [Docker 镜像](https://hub.docker.com/r/lobehub/lobe-chat) ,供你在自己的私有设备上部署 LobeChat 服务。 +我们提供了 [Docker 镜像](https://hub.docker.com/r/lobehub/lobe-chat) ,供你在自己的私有设备上部署 Mr.🆖 AI 服务。 diff --git a/docs/self-hosting/platform/docker.mdx b/docs/self-hosting/platform/docker.mdx index 3b8fc8fb6031..c34707fe5f09 100644 --- a/docs/self-hosting/platform/docker.mdx +++ b/docs/self-hosting/platform/docker.mdx @@ -1,11 +1,11 @@ --- -title: Deploy LobeChat with Docker +title: Deploy Mr.🆖 AI with Docker description: >- - Learn how to deploy the LobeChat service using Docker, including installation + Learn how to deploy the Mr.🆖 AI service using Docker, including installation steps, command deployment, proxy configuration, and automatic update scripts. tags: - Docker Deployment - - LobeChat Service + - Mr.🆖 AI Service - Docker Command - Proxy Configuration - Automatic Update Script @@ -22,7 +22,7 @@ tags:
-We provide a [Docker image][docker-release-link] for you to deploy the LobeChat service on your private device. +We provide a [Docker image][docker-release-link] for you to deploy the Mr.🆖 AI service on your private device. ### Install Docker Container Environment @@ -48,7 +48,7 @@ We provide a [Docker image][docker-release-link] for you to deploy the LobeChat ### Docker Command Deployment -Use the following command to start the LobeChat service with one click: +Use the following command to start the Mr.🆖 AI service with one click: ```fish $ docker run -d -p 3210:3210 \ @@ -64,7 +64,7 @@ Command explanation: - Replace `sk-xxxx` in the above command with your OpenAI API Key. -- For the complete list of environment variables supported by LobeChat, please refer to the [Environment Variables](/docs/self-hosting/environment-variables) section. +- For the complete list of environment variables supported by Mr.🆖 AI, please refer to the [Environment Variables](/docs/self-hosting/environment-variables) section. Since the official Docker image build takes about half an hour, if you see the "update available" diff --git a/docs/self-hosting/platform/docker.zh-CN.mdx b/docs/self-hosting/platform/docker.zh-CN.mdx index f0de6c82dc99..e6ce508985dd 100644 --- a/docs/self-hosting/platform/docker.zh-CN.mdx +++ b/docs/self-hosting/platform/docker.zh-CN.mdx @@ -1,9 +1,9 @@ --- -title: 通过 Docker 部署 LobeChat -description: 学习如何使用 Docker 部署 LobeChat 服务,包括安装 Docker 容器环境和使用指令一键启动服务。详细说明如何配置环境变量和使用代理地址。 +title: 通过 Docker 部署 Mr.🆖 AI +description: 学习如何使用 Docker 部署 Mr.🆖 AI 服务,包括安装 Docker 容器环境和使用指令一键启动服务。详细说明如何配置环境变量和使用代理地址。 tags: - Docker - - LobeChat + - Mr.🆖 AI - 部署指引 - 环境变量 - 代理地址 @@ -21,7 +21,7 @@ tags:
-我们提供了 [Docker 镜像][docker-release-link],供你在自己的私有设备上部署 LobeChat 服务。 +我们提供了 [Docker 镜像][docker-release-link],供你在自己的私有设备上部署 Mr.🆖 AI 服务。 ## 部署指南 @@ -49,7 +49,7 @@ tags: ### Docker 指令部署 -使用以下命令即可使用一键启动 LobeChat 服务: +使用以下命令即可使用一键启动 Mr.🆖 AI 服务: ```fish $ docker run -d -p 3210:3210 \ @@ -65,7 +65,7 @@ $ docker run -d -p 3210:3210 \ - 使用你的 OpenAI API Key 替换上述命令中的 `sk-xxxx` ,获取 API Key 的方式详见最后一节。 - LobeChat 支持的完整环境变量列表请参考 [📘 环境变量](/zh/docs/self-hosting/environment-variables) + Mr.🆖 AI 支持的完整环境变量列表请参考 [📘 环境变量](/zh/docs/self-hosting/environment-variables) 部分 @@ -164,7 +164,7 @@ echo "Removed old images." ## 获取 OpenAI API Key -API Key 是使用 LobeChat 进行大语言模型会话的必要信息,本节以 OpenAI 模型服务商为例,简要介绍获取 API Key 的方式。 +API Key 是使用 Mr.🆖 AI 进行大语言模型会话的必要信息,本节以 OpenAI 模型服务商为例,简要介绍获取 API Key 的方式。 ### `A` 通过 OpenAI 官方渠道 @@ -199,7 +199,7 @@ API Key 是使用 LobeChat 进行大语言模型会话的必要信息,本节 -将此 API Key 填写到 LobeChat 的 API Key 配置中,即可开始使用。 +将此 API Key 填写到 Mr.🆖 AI 的 API Key 配置中,即可开始使用。 账户注册后,一般有 5 美元的免费额度,但有效期只有三个月。如果你希望长期使用你的 API diff --git a/docs/self-hosting/platform/netlify.mdx b/docs/self-hosting/platform/netlify.mdx index f20084b5f2b1..494e98fd9716 100644 --- a/docs/self-hosting/platform/netlify.mdx +++ b/docs/self-hosting/platform/netlify.mdx @@ -1,28 +1,28 @@ --- -title: Deploy LobeChat with Netlify - Step-by-Step Guide +title: Deploy Mr.🆖 AI with Netlify - Step-by-Step Guide description: >- - Learn how to deploy LobeChat on Netlify with detailed instructions on forking + Learn how to deploy Mr.🆖 AI on Netlify with detailed instructions on forking the repository, preparing your OpenAI API Key, importing to Netlify workspace, configuring site name and environment variables, and monitoring deployment progress. tags: - - Deploy LobeChat + - Deploy Mr.🆖 AI - Netlify Deployment - OpenAI API Key - Environment Variables - Custom Domain Setup --- -# Deploy LobeChat with Netlify +# Deploy Mr.🆖 AI with Netlify -If you want to deploy LobeChat on Netlify, you can follow these steps: +If you want to deploy Mr.🆖 AI on Netlify, you can follow these steps: -## Deploy LobeChat with Netlify +## Deploy Mr.🆖 AI with Netlify - ### Fork the LobeChat Repository + ### Fork the Mr.🆖 AI Repository -Click the Fork button to fork the LobeChat repository to your GitHub account. +Click the Fork button to fork the Mr.🆖 AI repository to your GitHub account. ### Prepare your OpenAI API Key @@ -53,10 +53,10 @@ Then click "Deploy with Github" and authorize Netlify to access your GitHub acco src={'https://github.com/lobehub/lobe-chat/assets/28616219/c9c58141-5ec6-43f1-8d97-0a84a04dcdba'} /> -Next, select the LobeChat project: +Next, select the Mr.🆖 AI project: {'Select - For a complete list of environment variables supported by LobeChat, please refer to the [📘 + For a complete list of environment variables supported by Mr.🆖 AI, please refer to the [📘 Environment Variables](/docs/self-hosting/environment-variables) @@ -115,10 +115,10 @@ After clicking deploy, you will enter the site details page, where you can click src={'https://github.com/lobehub/lobe-chat/assets/28616219/a7fd85d5-fd32-4756-814e-ff7ab7567fe1'} /> -Upon entering the deployment details, you will see the following interface, indicating that your LobeChat is currently being deployed. Simply wait for the deployment to complete. +Upon entering the deployment details, you will see the following interface, indicating that your Mr.🆖 AI is currently being deployed. Simply wait for the deployment to complete. {'LobeChat -At this point, you can click on "Open production deploy" to access your LobeChat site. +At this point, you can click on "Open production deploy" to access your Mr.🆖 AI site. - {'Access + {'Access ## Set up Custom Domain (Optional) diff --git a/docs/self-hosting/platform/netlify.zh-CN.mdx b/docs/self-hosting/platform/netlify.zh-CN.mdx index 3760bb95e107..1b826970299e 100644 --- a/docs/self-hosting/platform/netlify.zh-CN.mdx +++ b/docs/self-hosting/platform/netlify.zh-CN.mdx @@ -1,11 +1,11 @@ --- -title: 在 Netlify 上部署 LobeChat +title: 在 Netlify 上部署 Mr.🆖 AI description: >- - 学习如何在 Netlify 上部署 LobeChat,包括 Fork 仓库、准备 OpenAI API Key、导入到 Netlify + 学习如何在 Netlify 上部署 Mr.🆖 AI,包括 Fork 仓库、准备 OpenAI API Key、导入到 Netlify 工作台、配置站点名称与环境变量等步骤。 tags: - Netlify - - LobeChat + - Mr.🆖 AI - 部署教程 - OpenAI API Key - 环境配置 @@ -13,14 +13,14 @@ tags: # 使用 Netlify 部署 -如果想在 Netlify 上部署 LobeChat,可以按照以下步骤进行操作: +如果想在 Netlify 上部署 Mr.🆖 AI,可以按照以下步骤进行操作: -## Netlify 部署 LobeChat +## Netlify 部署 Mr.🆖 AI - ### Fork LobeChat 仓库 + ### Fork Mr.🆖 AI 仓库 -点击 Fork 按钮,将 LobeChat 仓库 Fork 到你的 GitHub 账号下。 +点击 Fork 按钮,将 Mr.🆖 AI 仓库 Fork 到你的 GitHub 账号下。 ### 准备好你的 OpenAI API Key @@ -48,10 +48,10 @@ tags: src={'https://github.com/lobehub/lobe-chat/assets/28616219/c9c58141-5ec6-43f1-8d97-0a84a04dcdba'} /> -然后选择 LobeChat 项目: +然后选择 Mr.🆖 AI 项目: {'选择 - LobeChat 支持的完整环境变量列表请参考 [📘 环境变量](/zh/docs/self-hosting/environment-variables) + Mr.🆖 AI 支持的完整环境变量列表请参考 [📘 环境变量](/zh/docs/self-hosting/environment-variables) 部分 @@ -110,10 +110,10 @@ tags: src={'https://github.com/lobehub/lobe-chat/assets/28616219/a7fd85d5-fd32-4756-814e-ff7ab7567fe1'} /> -进入部署详情,你会看到下述界面,这意味着你的 LobeChat 正在部署中,只需等待部署完成即可。 +进入部署详情,你会看到下述界面,这意味着你的 Mr.🆖 AI 正在部署中,只需等待部署完成即可。 {'LobeChat -此时,你可以点击「Open production deploy」,即可访问你的 LobeChat 站点 +此时,你可以点击「Open production deploy」,即可访问你的 Mr.🆖 AI 站点 - {'访问你的 + {'访问你的 ## 绑定自定义域名(可选) diff --git a/docs/self-hosting/platform/railway.mdx b/docs/self-hosting/platform/railway.mdx index f312329f8651..d3570228415e 100644 --- a/docs/self-hosting/platform/railway.mdx +++ b/docs/self-hosting/platform/railway.mdx @@ -1,19 +1,19 @@ --- -title: Deploy LobeChat with Railway +title: Deploy Mr.🆖 AI with Railway description: >- - Learn how to deploy LobeChat on Railway and follow the step-by-step process. + Learn how to deploy Mr.🆖 AI on Railway and follow the step-by-step process. Get your OpenAI API Key, deploy with a click, and start using it. Optionally, bind a custom domain for your deployment. tags: - - Deploy LobeChat + - Deploy Mr.🆖 AI - Railway Deployment - OpenAI API Key - Custom Domain Binding --- -# Deploy LobeChat with Railway +# Deploy Mr.🆖 AI with Railway -If you want to deploy LobeChat on Railway, you can follow the steps below: +If you want to deploy Mr.🆖 AI on Railway, you can follow the steps below: ## Railway Deployment Process diff --git a/docs/self-hosting/platform/railway.zh-CN.mdx b/docs/self-hosting/platform/railway.zh-CN.mdx index 57fb29a21ace..3fe68c7321f5 100644 --- a/docs/self-hosting/platform/railway.zh-CN.mdx +++ b/docs/self-hosting/platform/railway.zh-CN.mdx @@ -1,10 +1,10 @@ --- -title: 在 Railway 上部署 LobeChat -description: 学习如何在 Railway 上部署 LobeChat 应用,包括准备 OpenAI API Key、点击按钮进行部署、绑定自定义域名等步骤。 +title: 在 Railway 上部署 Mr.🆖 AI +description: 学习如何在 Railway 上部署 Mr.🆖 AI 应用,包括准备 OpenAI API Key、点击按钮进行部署、绑定自定义域名等步骤。 tags: - Railway - 部署 - - LobeChat + - Mr.🆖 AI - OpenAI - API Key - 自定义域名 @@ -12,7 +12,7 @@ tags: # 使用 Railway 部署 -如果想在 Railway 上部署 LobeChat,可以按照以下步骤进行操作: +如果想在 Railway 上部署 Mr.🆖 AI,可以按照以下步骤进行操作: ## Railway 部署流程 diff --git a/docs/self-hosting/platform/repocloud.mdx b/docs/self-hosting/platform/repocloud.mdx index 2b07870c4942..5dc1d7cb0e3c 100644 --- a/docs/self-hosting/platform/repocloud.mdx +++ b/docs/self-hosting/platform/repocloud.mdx @@ -1,19 +1,19 @@ --- -title: Deploy LobeChat on RepoCloud +title: Deploy Mr.🆖 AI on RepoCloud description: >- - Learn how to deploy LobeChat on RepoCloud with ease. Follow these steps to + Learn how to deploy Mr.🆖 AI on RepoCloud with ease. Follow these steps to prepare your OpenAI API Key, deploy the application, and start using it. Optional: Bind a custom domain for a personalized touch. tags: - - Deploy LobeChat + - Deploy Mr.🆖 AI - RepoCloud Deployment - OpenAI API Key - Custom Domain Binding --- -# Deploy LobeChat with RepoCloud +# Deploy Mr.🆖 AI with RepoCloud -If you want to deploy LobeChat on RepoCloud, you can follow the steps below: +If you want to deploy Mr.🆖 AI on RepoCloud, you can follow the steps below: ## RepoCloud Deployment Process diff --git a/docs/self-hosting/platform/repocloud.zh-CN.mdx b/docs/self-hosting/platform/repocloud.zh-CN.mdx index 0bdaabccef2a..4ed1e6a621d3 100644 --- a/docs/self-hosting/platform/repocloud.zh-CN.mdx +++ b/docs/self-hosting/platform/repocloud.zh-CN.mdx @@ -1,9 +1,9 @@ --- -title: 在 RepoCloud 上部署 LobeChat -description: 学习如何在RepoCloud上部署LobeChat应用,包括准备OpenAI API Key、点击部署按钮、绑定自定义域名等操作。 +title: 在 RepoCloud 上部署 Mr.🆖 AI +description: 学习如何在RepoCloud上部署Mr.🆖 AI应用,包括准备OpenAI API Key、点击部署按钮、绑定自定义域名等操作。 tags: - RepoCloud - - LobeChat + - Mr.🆖 AI - 部署流程 - OpenAI API Key - 自定义域名 @@ -11,7 +11,7 @@ tags: # 使用 RepoCloud 部署 -如果想在 RepoCloud 上部署 LobeChat,可以按照以下步骤进行操作: +如果想在 RepoCloud 上部署 Mr.🆖 AI,可以按照以下步骤进行操作: ## RepoCloud 部署流程 diff --git a/docs/self-hosting/platform/sealos.mdx b/docs/self-hosting/platform/sealos.mdx index 440510e444aa..f0b4ce5c62b1 100644 --- a/docs/self-hosting/platform/sealos.mdx +++ b/docs/self-hosting/platform/sealos.mdx @@ -1,18 +1,18 @@ --- -title: Deploy LobeChat on SealOS +title: Deploy Mr.🆖 AI on SealOS description: >- - Learn how to deploy LobeChat on SealOS with ease. Follow the provided steps to - set up LobeChat and start using it efficiently. + Learn how to deploy Mr.🆖 AI on SealOS with ease. Follow the provided steps to + set up Mr.🆖 AI and start using it efficiently. tags: - - Deploy LobeChat + - Deploy Mr.🆖 AI - SealOS Deployment - OpenAI API Key - Custom Domain Binding --- -# Deploy LobeChat with SealOS +# Deploy Mr.🆖 AI with SealOS -If you want to deploy LobeChat on SealOS, you can follow the steps below: +If you want to deploy Mr.🆖 AI on SealOS, you can follow the steps below: ## SealOS Deployment Process diff --git a/docs/self-hosting/platform/sealos.zh-CN.mdx b/docs/self-hosting/platform/sealos.zh-CN.mdx index b0bf457a1ea7..7927807e036d 100644 --- a/docs/self-hosting/platform/sealos.zh-CN.mdx +++ b/docs/self-hosting/platform/sealos.zh-CN.mdx @@ -1,9 +1,9 @@ --- -title: 在 SealOS 上部署 LobeChat -description: 学习如何在 SealOS 上部署 LobeChat,包括准备 OpenAI API Key、点击部署按钮、绑定自定义域名等操作。 +title: 在 SealOS 上部署 Mr.🆖 AI +description: 学习如何在 SealOS 上部署 Mr.🆖 AI,包括准备 OpenAI API Key、点击部署按钮、绑定自定义域名等操作。 tags: - SealOS - - LobeChat + - Mr.🆖 AI - OpenAI API Key - 部署流程 - 自定义域名 @@ -11,7 +11,7 @@ tags: # 使用 SealOS 部署 -如果想在 SealOS 上部署 LobeChat,可以按照以下步骤进行操作: +如果想在 SealOS 上部署 Mr.🆖 AI,可以按照以下步骤进行操作: ## SealOS 部署流程 diff --git a/docs/self-hosting/platform/vercel.mdx b/docs/self-hosting/platform/vercel.mdx index a521cf70d63d..04bd320f504f 100644 --- a/docs/self-hosting/platform/vercel.mdx +++ b/docs/self-hosting/platform/vercel.mdx @@ -1,19 +1,19 @@ --- -title: Deploy LobeChat with Vercel +title: Deploy Mr.🆖 AI with Vercel description: >- - Learn how to deploy LobeChat on Vercel with ease. Follow the provided steps to + Learn how to deploy Mr.🆖 AI on Vercel with ease. Follow the provided steps to prepare your OpenAI API Key, deploy the project, and start using it efficiently. tags: - - Deploy LobeChat + - Deploy Mr.🆖 AI - Vercel Deployment - OpenAI API Key - Custom Domain Binding --- -# Deploy LobeChat with Vercel +# Deploy Mr.🆖 AI with Vercel -If you want to deploy LobeChat on Vercel, you can follow the steps below: +If you want to deploy Mr.🆖 AI on Vercel, you can follow the steps below: ## Vercel Deployment Process diff --git a/docs/self-hosting/platform/vercel.zh-CN.mdx b/docs/self-hosting/platform/vercel.zh-CN.mdx index 60fc6d012509..13b36f569496 100644 --- a/docs/self-hosting/platform/vercel.zh-CN.mdx +++ b/docs/self-hosting/platform/vercel.zh-CN.mdx @@ -1,10 +1,10 @@ --- -title: 在 Vercel 上部署 LobeChat -description: 学习如何在 Vercel 上一键部署 LobeChat,准备 OpenAI API Key,点击按钮进行部署,绑定自定义域名,自动同步更新等。 +title: 在 Vercel 上部署 Mr.🆖 AI +description: 学习如何在 Vercel 上一键部署 Mr.🆖 AI,准备 OpenAI API Key,点击按钮进行部署,绑定自定义域名,自动同步更新等。 tags: - Vercel - 部署指引 - - LobeChat + - Mr.🆖 AI - OpenAI API Key - 自定义域名 - 自动同步更新 @@ -12,7 +12,7 @@ tags: # Vercel 部署指引 -如果想在 Vercel 上部署 LobeChat,可以按照以下步骤进行操作: +如果想在 Vercel 上部署 Mr.🆖 AI,可以按照以下步骤进行操作: ## Vercel 部署流程 @@ -40,7 +40,7 @@ Vercel 分配的域名 DNS 在某些区域被污染了,绑定自定义域名 如果你根据上述中的一键部署步骤部署了自己的项目,你可能会发现总是被提示 “有可用更新”。这是因为 Vercel 默认为你创建新项目而非 fork 本项目,这将导致无法准确检测更新。 - 我们建议按照 [📘 LobeChat 自部署保持更新](/zh/docs/self-hosting/advanced/upstream-sync) + 我们建议按照 [📘 Mr.🆖 AI 自部署保持更新](/zh/docs/self-hosting/advanced/upstream-sync) 步骤重新部署。 diff --git a/docs/self-hosting/platform/zeabur.mdx b/docs/self-hosting/platform/zeabur.mdx index d6a4705a3e4b..4c80bbc11a59 100644 --- a/docs/self-hosting/platform/zeabur.mdx +++ b/docs/self-hosting/platform/zeabur.mdx @@ -1,18 +1,18 @@ --- -title: Deploy LobeChat on Zeabur +title: Deploy Mr.🆖 AI on Zeabur description: >- - Learn how to deploy LobeChat on Zeabur with ease. Follow the provided steps to + Learn how to deploy Mr.🆖 AI on Zeabur with ease. Follow the provided steps to set up your chat application seamlessly. tags: - - Deploy LobeChat + - Deploy Mr.🆖 AI - Zeabur Deployment - OpenAI API Key - Custom Domain Binding --- -# Deploy LobeChat with Zeabur +# Deploy Mr.🆖 AI with Zeabur -If you want to deploy LobeChat on Zeabur, you can follow the steps below: +If you want to deploy Mr.🆖 AI on Zeabur, you can follow the steps below: ## Zeabur Deployment Process @@ -36,17 +36,17 @@ You can use the subdomain provided by Zeabur, or choose to bind a custom domain. [deploy-button-image]: https://zeabur.com/button.svg [deploy-link]: https://zeabur.com/templates/VZGGTI -# Deploy LobeChat with Zeabur as serverless function +# Deploy Mr.🆖 AI with Zeabur as serverless function > Note: There are still issues with [middlewares and rewrites of next.js on Zeabur](https://github.com/lobehub/lobe-chat/pull/2775?notification_referrer_id=NT_kwDOAdi2DrQxMDkyODQ4MDc2NTozMDk3OTU5OA#issuecomment-2146713899), use at your own risk! -Since Zeabur does NOT officially support FREE users deploy containerized service, you may wish to deploy LobeChat as a serverless function service. To deploy LobeChat as a serverless function service on Zeabur, you can follow the steps below: +Since Zeabur does NOT officially support FREE users deploy containerized service, you may wish to deploy Mr.🆖 AI as a serverless function service. To deploy Mr.🆖 AI as a serverless function service on Zeabur, you can follow the steps below: ## Zeabur Deployment Process -### Fork LobeChat +### Fork Mr.🆖 AI ### Add Zeabur pack config file @@ -71,7 +71,7 @@ If you do not already have an account, you will need to register one. Create a project, then create a service under this project. -### Link your fork of LobeChat to the just created Zeabur service. +### Link your fork of Mr.🆖 AI to the just created Zeabur service. When adding service, choose github. This may triger a oAuth depend on varies factors like how you login to Zeabur and if you have already authorized Zeabur to access all your repos diff --git a/docs/self-hosting/platform/zeabur.zh-CN.mdx b/docs/self-hosting/platform/zeabur.zh-CN.mdx index 00ee9aa46375..737db65adb6a 100644 --- a/docs/self-hosting/platform/zeabur.zh-CN.mdx +++ b/docs/self-hosting/platform/zeabur.zh-CN.mdx @@ -1,9 +1,9 @@ --- -title: 在 Zeabur 上部署 LobeChat -description: 按照指南准备 OpenAI API Key 并点击按钮进行部署。在部署完成后,即可开始使用 LobeChat 并选择是否绑定自定义域名。 +title: 在 Zeabur 上部署 Mr.🆖 AI +description: 按照指南准备 OpenAI API Key 并点击按钮进行部署。在部署完成后,即可开始使用 Mr.🆖 AI 并选择是否绑定自定义域名。 tags: - Zeabur - - LobeChat + - Mr.🆖 AI - OpenAI API Key - 部署流程 - 自定义域名 @@ -11,7 +11,7 @@ tags: # 使用 Zeabur 部署 -如果想在 Zeabur 上部署 LobeChat,可以按照以下步骤进行操作: +如果想在 Zeabur 上部署 Mr.🆖 AI,可以按照以下步骤进行操作: ## Zeabur 部署流程 @@ -35,17 +35,17 @@ tags: [deploy-button-image]: https://zeabur.com/button.svg [deploy-link]: https://zeabur.com/templates/VZGGTI -# 使用 Zeabur 将 LobeChat 部署为无服务器函数 +# 使用 Zeabur 将 Mr.🆖 AI 部署为无服务器函数 > **注意:** 仍然存在关于 [Zeabur 上 next.js 的中间件和重写问题](https://github.com/lobehub/lobe-chat/pull/2775?notification_referrer_id=NT_kwDOAdi2DrQxMDkyODQ4MDc2NTozMDk3OTU5OA#issuecomment-2146713899),请自担风险! -由于 Zeabur 并未官方支持免费用户部署容器化服务,您可能希望将 LobeChat 部署为无服务器函数服务。要在 Zeabur 上将 LobeChat 部署为无服务器函数服务,您可以按照以下步骤操作: +由于 Zeabur 并未官方支持免费用户部署容器化服务,您可能希望将 Mr.🆖 AI 部署为无服务器函数服务。要在 Zeabur 上将 Mr.🆖 AI 部署为无服务器函数服务,您可以按照以下步骤操作: ## Zeabur 部署流程 -### Fork LobeChat +### Fork Mr.🆖 AI ### 添加 Zeabur 打包配置文件 @@ -70,7 +70,7 @@ tags: 创建一个项目,并再这个项目下新建一个服务。 -### 将您的 LobeChat 分支链接到刚创建的 Zeabur 服务。 +### 将您的 Mr.🆖 AI 分支链接到刚创建的 Zeabur 服务。 在添加服务时,选择 github。这可能会触发一个 oAuth,取决于诸如您如何登录到 Zeabur以及您是否已经授权 Zeabur 访问所有您的存储库等各种因素。 diff --git a/docs/self-hosting/server-database.mdx b/docs/self-hosting/server-database.mdx index d995f10efe08..0ad479216329 100644 --- a/docs/self-hosting/server-database.mdx +++ b/docs/self-hosting/server-database.mdx @@ -1,8 +1,8 @@ --- -title: Deploying Server-Side Database for LobeChat -description: Learn how to deploy LobeChat's server-side database using Postgres. +title: Deploying Server-Side Database for Mr.🆖 AI +description: Learn how to deploy Mr.🆖 AI's server-side database using Postgres. tags: - - LobeChat + - Mr.🆖 AI - Server-Side Database - Postgres - Deployment Guide @@ -10,7 +10,7 @@ tags: # Deploying Server-Side Database -LobeChat defaults to using a client-side database (IndexedDB) but also supports deploying a server-side database. LobeChat uses Postgres as the backend storage database. +Mr.🆖 AI defaults to using a client-side database (IndexedDB) but also supports deploying a server-side database. Mr.🆖 AI uses Postgres as the backend storage database. PostgreSQL is a powerful open-source relational database management system with high scalability @@ -19,7 +19,7 @@ LobeChat defaults to using a client-side database (IndexedDB) but also supports management. -This guide will introduce the process and principles of deploying the server-side database version of LobeChat on any platform from a framework perspective, so you can understand both the what and the why, and then deploy according to your specific needs. +This guide will introduce the process and principles of deploying the server-side database version of Mr.🆖 AI on any platform from a framework perspective, so you can understand both the what and the why, and then deploy according to your specific needs. If you are already familiar with the complete principles, you can quickly get started by checking the deployment guides for each platform: @@ -27,7 +27,7 @@ If you are already familiar with the complete principles, you can quickly get st --- -For the server-side database version of LobeChat, a normal deployment process typically involves configuring three modules: +For the server-side database version of Mr.🆖 AI, a normal deployment process typically involves configuring three modules: 1. Database configuration; 2. Authentication service configuration; @@ -44,12 +44,12 @@ Before deployment, make sure you have a Postgres database instance ready. You ca There is a slight difference in the way they are configured in terms of environment variables. -Since we support file-based conversations/knowledge base conversations, we need to install the `pgvector` plugin for Postgres. This plugin provides vector search capabilities and is a key component for LobeChat to implement RAG. +Since we support file-based conversations/knowledge base conversations, we need to install the `pgvector` plugin for Postgres. This plugin provides vector search capabilities and is a key component for Mr.🆖 AI to implement RAG. ### `NEXT_PUBLIC_SERVICE_MODE` -LobeChat supports both client-side and server-side databases, so we provide an environment variable for switching modes, which is `NEXT_PUBLIC_SERVICE_MODE`, with a default value of `client`. +Mr.🆖 AI supports both client-side and server-side databases, so we provide an environment variable for switching modes, which is `NEXT_PUBLIC_SERVICE_MODE`, with a default value of `client`. For server-side database deployment scenarios, you need to set `NEXT_PUBLIC_SERVICE_MODE` to `server`. @@ -107,7 +107,7 @@ In the server-side database mode, we need an authentication service to distingui ### Clerk -[Clerk](https://clerk.com?utm_source=lobehub&utm_medium=docs) is an authentication SaaS service that provides out-of-the-box authentication capabilities with high productization, low integration costs, and a great user experience. For those who offer SaaS products, Clerk is a good choice. Our official [LobeChat Cloud](https://lobechat.com) uses Clerk as the authentication service. +[Clerk](https://clerk.com?utm_source=lobehub&utm_medium=docs) is an authentication SaaS service that provides out-of-the-box authentication capabilities with high productization, low integration costs, and a great user experience. For those who offer SaaS products, Clerk is a good choice. Our official [Mr.🆖 AI Cloud](https://Mr.🆖 AI.com) uses Clerk as the authentication service. The integration of Clerk is relatively simple, requiring only the configuration of these environment variables: @@ -140,7 +140,7 @@ For information on configuring NextAuth, you can refer to the [Authentication](/ ## Configuring S3 Storage Service -LobeChat has supported multimodal AI conversations since [a long time ago](https://x.com/lobehub/status/1724289575672291782), involving the function of uploading images to large models. In the client-side database solution, image files are stored as binary data directly in the browser's IndexedDB database. However, this solution is not feasible in the server-side database. Storing file-like data directly in Postgres will greatly waste valuable database storage space and slow down computational performance. +Mr.🆖 AI has supported multimodal AI conversations since [a long time ago](https://x.com/lobehub/status/1724289575672291782), involving the function of uploading images to large models. In the client-side database solution, image files are stored as binary data directly in the browser's IndexedDB database. However, this solution is not feasible in the server-side database. Storing file-like data directly in Postgres will greatly waste valuable database storage space and slow down computational performance. The best practice in this area is to use a file storage service (S3) to store image files, which is also the storage solution relied upon for subsequent file uploads/knowledge base functions. @@ -154,6 +154,6 @@ For detailed configuration guidelines on S3, please refer to [S3 Object Storage] ## Getting Started with Deployment -The above is a detailed explanation of configuring LobeChat with a server-side database. You can configure it according to your actual situation and then choose a deployment platform that suits you to start deployment: +The above is a detailed explanation of configuring Mr.🆖 AI with a server-side database. You can configure it according to your actual situation and then choose a deployment platform that suits you to start deployment: diff --git a/docs/self-hosting/server-database.zh-CN.mdx b/docs/self-hosting/server-database.zh-CN.mdx index 8f0c966d0d36..a5607c009b51 100644 --- a/docs/self-hosting/server-database.zh-CN.mdx +++ b/docs/self-hosting/server-database.zh-CN.mdx @@ -1,6 +1,6 @@ --- title: 使用服务端数据库部署 - 配置数据库、身份验证服务和 S3 存储服务 -description: 本文将介绍服务端数据库版 LobeChat 的部署思路,解释如何配置数据库、身份验证服务和 S3 存储服务。 +description: 本文将介绍服务端数据库版 Mr.🆖 AI 的部署思路,解释如何配置数据库、身份验证服务和 S3 存储服务。 tags: - 服务端数据库 - Postgres @@ -12,13 +12,13 @@ tags: # 使用服务端数据库部署 -LobeChat 默认使用客户端数据库(IndexedDB),同时也支持使用服务端数据库(下简称 DB 版)。LobeChat 采用了 Postgres 作为后端存储数据库。 +Mr.🆖 AI 默认使用客户端数据库(IndexedDB),同时也支持使用服务端数据库(下简称 DB 版)。Mr.🆖 AI 采用了 Postgres 作为后端存储数据库。 PostgreSQL是一种强大的开源关系型数据库管理系统,具备高度扩展性和标准SQL支持。它提供了丰富的数据类型、并发处理、数据完整性、安全性及可编程性,适用于复杂应用和大规模数据管理。 -本文将从框架角度介绍在任何一个平台中部署 DB 版 LobeChat 的流程和原理,让你知其然也知其所以然,最后可以根据自己的实际情况进行部署。 +本文将从框架角度介绍在任何一个平台中部署 DB 版 Mr.🆖 AI 的流程和原理,让你知其然也知其所以然,最后可以根据自己的实际情况进行部署。 如你已经熟悉完整原理,可以查看各个平台的部署指南快速开始: @@ -26,7 +26,7 @@ LobeChat 默认使用客户端数据库(IndexedDB),同时也支持使用 --- -对于 LobeChat 的 DB 版,正常的部署流程都需要包含三个模块的配置: +对于 Mr.🆖 AI 的 DB 版,正常的部署流程都需要包含三个模块的配置: 1. 数据库配置; 2. 身份验证服务配置; @@ -41,13 +41,13 @@ LobeChat 默认使用客户端数据库(IndexedDB),同时也支持使用 两者的配置方式在环境变量的取值上会略有一点区别,其他方面是一样的。 -同时,由于我们支持了文件对话/知识库对话的能力,因此我们需要为 Postgres 安装 `pgvector` 插件,该插件提供了向量搜索的能力,是 LobeChat 实现 RAG 的重要构件之一。 +同时,由于我们支持了文件对话/知识库对话的能力,因此我们需要为 Postgres 安装 `pgvector` 插件,该插件提供了向量搜索的能力,是 Mr.🆖 AI 实现 RAG 的重要构件之一。 ### `NEXT_PUBLIC_SERVICE_MODE` -LobeChat 同时支持了客户端数据库和服务端数据库,因此我们提供了一个环境变量用于切换模式,这个变量为 `NEXT_PUBLIC_SERVICE_MODE`,该值默认为 `client`。 +Mr.🆖 AI 同时支持了客户端数据库和服务端数据库,因此我们提供了一个环境变量用于切换模式,这个变量为 `NEXT_PUBLIC_SERVICE_MODE`,该值默认为 `client`。 针对服务端数据库部署场景,你需要将 `NEXT_PUBLIC_SERVICE_MODE` 设置为 `server`。 @@ -102,7 +102,7 @@ LobeChat 同时支持了客户端数据库和服务端数据库,因此我们 ### Clerk -[Clerk](https://clerk.com?utm_source=lobehub&utm_medium=docs) 是一个身份验证 SaaS 服务,提供了开箱即用的身份验证能力,产品化程度很高,集成成本较低,体验很好。对于提供 SaaS 化产品的诉求来说,Clerk 是一个不错的选择。我们官方提供的 [LobeChat Cloud](https://lobechat.com),就是使用了 Clerk 作为身份验证服务。 +[Clerk](https://clerk.com?utm_source=lobehub&utm_medium=docs) 是一个身份验证 SaaS 服务,提供了开箱即用的身份验证能力,产品化程度很高,集成成本较低,体验很好。对于提供 SaaS 化产品的诉求来说,Clerk 是一个不错的选择。我们官方提供的 [Mr.🆖 AI Cloud](https://Mr.🆖 AI.com),就是使用了 Clerk 作为身份验证服务。 Clerk 的集成也相对简单,只需要配置 `NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY` 、 `CLERK_SECRET_KEY` 和 `CLERK_WEBHOOK_SECRET` 环境变量即可,这三个环境变量可以在 Clerk 控制台中获取。 @@ -130,7 +130,7 @@ NextAuth 是一个开源的身份验证库,支持多种身份验证提供商 ## 配置 S3 存储服务 -LobeChat 在 [很早以前](https://x.com/lobehub/status/1724289575672291782) 就支持了多模态的 AI 会话,其中涉及到图片上传给大模型的功能。在客户端数据库方案中,图片文件直接以二进制数据存储在浏览器 IndexedDB 数据库,但在服务端数据库中这个方案并不可行。因为在 Postgres 中直接存储文件类二进制数据会大大浪费宝贵的数据库存储空间,并拖慢计算性能。 +Mr.🆖 AI 在 [很早以前](https://x.com/lobehub/status/1724289575672291782) 就支持了多模态的 AI 会话,其中涉及到图片上传给大模型的功能。在客户端数据库方案中,图片文件直接以二进制数据存储在浏览器 IndexedDB 数据库,但在服务端数据库中这个方案并不可行。因为在 Postgres 中直接存储文件类二进制数据会大大浪费宝贵的数据库存储空间,并拖慢计算性能。 这块最佳实践是使用文件存储服务(S3)来存储图片文件,同时 S3 也是文件上传/知识库功能所依赖的大容量静态文件存储方案。 @@ -143,6 +143,6 @@ LobeChat 在 [很早以前](https://x.com/lobehub/status/1724289575672291782) ## 开始部署 -以上就是关于服务端数据库版 LobeChat 的配置详解,你可以根据自己的实际情况进行配置,然后选择适合自己的部署平台开始部署: +以上就是关于服务端数据库版 Mr.🆖 AI 的配置详解,你可以根据自己的实际情况进行配置,然后选择适合自己的部署平台开始部署: diff --git a/docs/self-hosting/server-database/docker-compose.mdx b/docs/self-hosting/server-database/docker-compose.mdx index e6f1e004a3cc..27306d3ff93f 100644 --- a/docs/self-hosting/server-database/docker-compose.mdx +++ b/docs/self-hosting/server-database/docker-compose.mdx @@ -1,16 +1,16 @@ --- -title: Deploying LobeChat with Docker Compose +title: Deploying Mr.🆖 AI with Docker Compose description: >- - Learn how to deploy the LobeChat service using Docker Compose, including + Learn how to deploy the Mr.🆖 AI service using Docker Compose, including configuration tutorials for various services. tags: - Docker Compose - - LobeChat + - Mr.🆖 AI - Docker Containers - Deployment Guide --- -# Deploying LobeChat Server Database Version with Docker Compose +# Deploying Mr.🆖 AI Server Database Version with Docker Compose
[![][docker-release-shield]][docker-release-link] @@ -23,35 +23,35 @@ tags: This article assumes you are familiar with the basic principles and processes of deploying the - LobeChat server database version (hereinafter referred to as DB version), so it only includes core + Mr.🆖 AI server database version (hereinafter referred to as DB version), so it only includes core environment variable configurations. If you are not familiar with the deployment principles of - LobeChat DB version, please refer to [Deploying with a Server + Mr.🆖 AI DB version, please refer to [Deploying with a Server Database](/docs/self-hosting/server-database). - Due to the inability to expose `NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY` using Docker environment variables, you cannot use Clerk as a login authentication service when deploying LobeChat with Docker / Docker Compose. + Due to the inability to expose `NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY` using Docker environment variables, you cannot use Clerk as a login authentication service when deploying Mr.🆖 AI with Docker / Docker Compose. If you need Clerk as a login authentication service, consider deploying with Vercel or building your own image. -In general, to fully run the LobeChat database version, you need at least the following four services: +In general, to fully run the Mr.🆖 AI database version, you need at least the following four services: -- The LobeChat database version itself +- The Mr.🆖 AI database version itself - A PostgreSQL database with the PGVector plugin - An object storage service that supports S3 protocol -- An SSO login authentication service supported by LobeChat +- An SSO login authentication service supported by Mr.🆖 AI These services can be combined through self-built or online cloud services to meet different levels of deployment needs. -In this article, we provide a Docker Compose configuration entirely based on open-source self-built services. You can use this configuration file directly to start the LobeChat database version or modify it to suit your needs. +In this article, we provide a Docker Compose configuration entirely based on open-source self-built services. You can use this configuration file directly to start the Mr.🆖 AI database version or modify it to suit your needs. We default to using [MinIO](https://github.com/minio/minio) as the local S3 object storage service and [Casdoor](https://github.com/casdoor/casdoor) as the local authentication service. ## Quick Start -To facilitate a quick start, this section uses the `docker-compose/local` directory's `docker-compose.yml` configuration file. The started LobeChat application runs at `http://localhost:3210` and can be run locally. +To facilitate a quick start, this section uses the `docker-compose/local` directory's `docker-compose.yml` configuration file. The started Mr.🆖 AI application runs at `http://localhost:3210` and can be run locally. For a quick start, this `docker-compose.yml` contains a large number of sensitive Secret/Password @@ -105,13 +105,13 @@ If you see the following logs in the container, it means the startup was success -At this point, you have successfully deployed the LobeChat database version, and you can access your LobeChat service at `http://localhost:3210`. +At this point, you have successfully deployed the Mr.🆖 AI database version, and you can access your Mr.🆖 AI service at `http://localhost:3210`. If you encounter problems, try checking the Docker logs and console logs for troubleshooting. ## Publishing to Production (IP Mode) -The following assumes that the machine IP running the LobeChat service on the LAN/public network is `your_server_ip`. +The following assumes that the machine IP running the Mr.🆖 AI service on the LAN/public network is `your_server_ip`. To access via the local network IP, you first need to run the local startup: @@ -207,7 +207,7 @@ In the following text, we assume that in addition to the above services, you are The domain and associated service port descriptions are as follows: -- `lobe.example.com`: Your LobeChat service domain, which needs to reverse proxy to the LobeChat service port, defaulting to `3210`. +- `lobe.example.com`: Your Mr.🆖 AI service domain, which needs to reverse proxy to the Mr.🆖 AI service port, defaulting to `3210`. - `lobe-auth-api.example.com`: Your Logto service domain, which needs to reverse proxy to the Logto API service port, defaulting to `3001`. - `lobe-auth-ui.example.com`: Your Logto UI domain, which needs to reverse proxy to the Logto WebUI service port, defaulting to `3002`. - `lobe-s3-api.example.com`: Your MinIO API domain, which needs to reverse proxy to the MinIO API service port, defaulting to `9000`. @@ -233,7 +233,7 @@ curl -fsSL https://raw.githubusercontent.com/lobehub/lobe-chat/HEAD/docker-compo curl -fsSL https://raw.githubusercontent.com/lobehub/lobe-chat/HEAD/docker-compose/production/logto/.env.example > .env ``` -The configuration files include both `.env` and `docker-compose.yml`, where the `.env` file is used to configure the environment variables for LobeChat, and the `docker-compose.yml` file is used to configure the Postgres, MinIO, and Logto services. +The configuration files include both `.env` and `docker-compose.yml`, where the `.env` file is used to configure the environment variables for Mr.🆖 AI, and the `docker-compose.yml` file is used to configure the Postgres, MinIO, and Logto services. Generally, you should only modify sensitive information such as domain names and account passwords, while keeping other configuration items at their default values. @@ -267,7 +267,7 @@ docker compose up -d # Restart This article uses Logto as an example to explain the configuration process. If you are using other authentication service providers, please refer to their documentation for configuration. - Please remember to configure the CORS cross-domain settings for the corresponding login authentication service provider to ensure LobeChat can access the authentication service properly. + Please remember to configure the CORS cross-domain settings for the corresponding login authentication service provider to ensure Mr.🆖 AI can access the authentication service properly. In this article, you need to allow cross-domain requests from `https://lobe.example.com`. @@ -307,7 +307,7 @@ You first need to visit the WebUI for configuration: src="https://github.com/user-attachments/assets/6b2e6f7b-fec5-41c6-864a-a1add40f74a0" /> -8. Restart the LobeChat service: +8. Restart the Mr.🆖 AI service: ```sh docker compose up -d @@ -315,7 +315,7 @@ You first need to visit the WebUI for configuration: Please note that the administrator account is not the same as a registered user. Do not log in to - LobeChat with your administrator account, as this will only result in an error. + Mr.🆖 AI with your administrator account, as this will only result in an error. ### S3 Object Storage Service Configuration @@ -323,7 +323,7 @@ You first need to visit the WebUI for configuration: This article uses MinIO as an example to explain the configuration process. If you are using other S3 service providers, please refer to their documentation for configuration. - Please remember to configure the CORS cross-domain settings for the corresponding S3 service provider to ensure LobeChat can access the S3 service properly. + Please remember to configure the CORS cross-domain settings for the corresponding S3 service provider to ensure Mr.🆖 AI can access the S3 service properly. In this article, you need to allow cross-domain requests from `https://lobe.example.com`. This can be configured in MinIO WebUI under `Configuration - API - Cors Allow Origin`, or in the Docker Compose under `minio - environment - MINIO_API_CORS_ALLOW_ORIGIN`. @@ -364,13 +364,13 @@ You first need to visit the WebUI for configuration: src="https://github.com/user-attachments/assets/72f02ce5-9991-425b-9864-9113ee1ed6bf" /> -5. Restart the LobeChat service: +5. Restart the Mr.🆖 AI service: ```sh docker compose up -d ``` -At this point, you have successfully deployed the LobeChat database version, and you can access your LobeChat service at `https://lobe.example.com`. +At this point, you have successfully deployed the Mr.🆖 AI database version, and you can access your Mr.🆖 AI service at `https://lobe.example.com`. ## Appendix @@ -379,7 +379,7 @@ For convenience, here is a summary of the example configuration files needed for ### `.env` ```sh -# Required: LobeChat domain for tRPC calls +# Required: Mr.🆖 AI domain for tRPC calls # Ensure this domain is whitelisted in your NextAuth providers and S3 service CORS settings APP_URL=https://lobe.example.com/ @@ -471,7 +471,7 @@ services: - 'MINIO_ROOT_USER=YOUR_MINIO_USER' - 'MINIO_ROOT_PASSWORD=YOUR_MINIO_PASSWORD' - 'MINIO_DOMAIN=lobe-s3-api.example.com' - - 'MINIO_API_CORS_ALLOW_ORIGIN=https://lobe.example.com' # Your LobeChat's domain name. + - 'MINIO_API_CORS_ALLOW_ORIGIN=https://lobe.example.com' # Your Mr.🆖 AI's domain name. restart: always command: > server /etc/minio/data --address ":9000" --console-address ":9001" diff --git a/docs/self-hosting/server-database/docker-compose.zh-CN.mdx b/docs/self-hosting/server-database/docker-compose.zh-CN.mdx index 9f28b74ac013..f63eb5ae4ff5 100644 --- a/docs/self-hosting/server-database/docker-compose.zh-CN.mdx +++ b/docs/self-hosting/server-database/docker-compose.zh-CN.mdx @@ -1,14 +1,14 @@ --- -title: 通过 Docker Compose 部署 LobeChat -description: 学习如何使用 Docker Compose 部署 LobeChat 服务,包括各种服务的配置教程。 +title: 通过 Docker Compose 部署 Mr.🆖 AI +description: 学习如何使用 Docker Compose 部署 Mr.🆖 AI 服务,包括各种服务的配置教程。 tags: - Docker Compose - - LobeChat + - Mr.🆖 AI - Docker 容器 - 部署指引 --- -# 使用 Docker Compose 部署 LobeChat 服务端数据库版本 +# 使用 Docker Compose 部署 Mr.🆖 AI 服务端数据库版本
[![][docker-release-shield]][docker-release-link] @@ -20,35 +20,35 @@ tags:
- 本文已经假定你了解了 LobeChat 服务端数据库版本(下简称 DB - 版)的部署基本原理和流程,因此只包含核心环境变量配置的内容。如果你还不了解 LobeChat DB + 本文已经假定你了解了 Mr.🆖 AI 服务端数据库版本(下简称 DB + 版)的部署基本原理和流程,因此只包含核心环境变量配置的内容。如果你还不了解 Mr.🆖 AI DB 版的部署原理,请先查阅 [使用服务端数据库部署](/zh/docs/self-hosting/server-database) 。 由于无法使用 Docker 环境变量暴露 `NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY`,使用 Docker / Docker Compose - 部署 LobeChat 时,你不能使用 Clerk 作为登录鉴权服务。 + 部署 Mr.🆖 AI 时,你不能使用 Clerk 作为登录鉴权服务。 如果你确实需要 Clerk 作为登录鉴权服务,你可以考虑使用 Vercel 部署或者自行构建镜像。 -一般来讲,想要完整的运行 LobeChat 数据库版本,你需要至少拥有如下四个服务 +一般来讲,想要完整的运行 Mr.🆖 AI 数据库版本,你需要至少拥有如下四个服务 -- LobeChat 数据库版本自身 +- Mr.🆖 AI 数据库版本自身 - 带有 PGVector 插件的 PostgreSQL 数据库 - 支持 S3 协议的对象存储服务 -- 受 LobeChat 支持的 SSO 登录鉴权服务 +- 受 Mr.🆖 AI 支持的 SSO 登录鉴权服务 这些服务可以通过自建或者在线云服务组合搭配,以满足不同层次的部署需求。 -本文中,我们提供了完全基于开源自建服务的 Docker Compose 配置,你可以直接使用这份配置文件来启动 LobeChat 数据库版本,也可以对之进行修改以适应你的需求。 +本文中,我们提供了完全基于开源自建服务的 Docker Compose 配置,你可以直接使用这份配置文件来启动 Mr.🆖 AI 数据库版本,也可以对之进行修改以适应你的需求。 我们默认使用 [MinIO](https://github.com/minio/minio) 作为本地 S3 对象存储服务,使用 [Casdoor](https://github.com/casdoor/casdoor) 作为本地鉴权服务。 ## 快速启动 -为方便快速上手,这一章使用 `docker-compose/local` 目录中的 `docker-compose.yml` 配置文件,启动后的 LobeChat 应用运行在 `http://localhost:3210`,可在本地运行。 +为方便快速上手,这一章使用 `docker-compose/local` 目录中的 `docker-compose.yml` 配置文件,启动后的 Mr.🆖 AI 应用运行在 `http://localhost:3210`,可在本地运行。 为了快速上手,此 `docker-compose.yml` 内置了大量的 Secret/Password @@ -101,13 +101,13 @@ docker logs -f lobe-chat -至此,你已经成功部署了 LobeChat 数据库版本,你可以通过 `http://localhost:3210` 访问你的 LobeChat 服务。 +至此,你已经成功部署了 Mr.🆖 AI 数据库版本,你可以通过 `http://localhost:3210` 访问你的 Mr.🆖 AI 服务。 如果你遇到问题,请尝试查看 Docker 日志和控制台日志进行排查。 ## 发布到生产(IP 模式) -下文假设局域网 / 公网需要运行 LobeChat 服务的机器 IP 为 `your_server_ip`。 +下文假设局域网 / 公网需要运行 Mr.🆖 AI 服务的机器 IP 为 `your_server_ip`。 想要通过局域网 IP 访问,你需要首先按照本地启动运行: @@ -202,7 +202,7 @@ docker compose up -d 域名和配套服务端口说明如下: -- `lobe.example.com`:为你的 LobeChat 服务端域名,需要反向代理到 LobeChat 服务端口,默认为 `3210` +- `lobe.example.com`:为你的 Mr.🆖 AI 服务端域名,需要反向代理到 Mr.🆖 AI 服务端口,默认为 `3210` - `lobe-auth-api.example.com`:为你的 Logto 服务端域名,需要反向代理到 Logto API 服务端口,默认为 `3001` - `lobe-auth-ui.example.com`:为你的 Logto UI 域名,需要反向代理到 Logto WebUI 服务端口,默认为 `3002` - `lobe-s3-api.example.com`:为你的 MinIO API 域名,需要反向代理到 MinIO API 服务端口,默认为 `9000` @@ -228,7 +228,7 @@ curl -fsSL https://raw.githubusercontent.com/lobehub/lobe-chat/HEAD/docker-compo curl -fsSL https://raw.githubusercontent.com/lobehub/lobe-chat/HEAD/docker-compose/production/logto/.env.zh-CN.example > .env ``` -配置文件包括 `.env` 和 `docker-compose.yml` 两个文件,其中 `.env` 文件用于配置 LobeChat 的环境变量,`docker-compose.yml` 文件用于配置 Postgres、MinIO 和 Logto 服务。 +配置文件包括 `.env` 和 `docker-compose.yml` 两个文件,其中 `.env` 文件用于配置 Mr.🆖 AI 的环境变量,`docker-compose.yml` 文件用于配置 Postgres、MinIO 和 Logto 服务。 一般情况下,你只应修改其中的域名和账号密码等敏感信息,其他配置项请按照默认值进行配置。 @@ -262,7 +262,7 @@ docker compose up -d # 重新启动 本文以 Logto 为例,解释配置过程,如果你使用的是其他登录鉴权服务商,请参照其文档进行配置。 - 请记得注意配置对应登录鉴权服务提供商的 CORS 跨域配置,以确保 LobeChat 能够正常访问登录鉴权服务。 + 请记得注意配置对应登录鉴权服务提供商的 CORS 跨域配置,以确保 Mr.🆖 AI 能够正常访问登录鉴权服务。 在本文中,你需要允许 `https://lobe.example.com` 的跨域请求。 @@ -302,14 +302,14 @@ docker compose up -d # 重新启动 src="https://github.com/user-attachments/assets/6b2e6f7b-fec5-41c6-864a-a1add40f74a0" /> -8. 重启 LobeChat 服务: +8. 重启 Mr.🆖 AI 服务: ```sh docker compose up -d ``` - 请注意,管理员账户不等同于注册用户,不要用你的管理员账户登录 LobeChat,那样只会报错。 + 请注意,管理员账户不等同于注册用户,不要用你的管理员账户登录 Mr.🆖 AI,那样只会报错。 ### S3 对象存储服务配置 @@ -317,7 +317,7 @@ docker compose up -d # 重新启动 本文以 MinIO 为例,解释配置过程,如果你使用的是其他 S3 服务商,请参照其文档进行配置。 - 请记得注意配置对应 S3 服务商的 CORS 跨域配置,以确保 LobeChat 能够正常访问 S3 服务。 + 请记得注意配置对应 S3 服务商的 CORS 跨域配置,以确保 Mr.🆖 AI 能够正常访问 S3 服务。 在本文中,你需要允许 `https://lobe.example.com` 的跨域请求。这既可以在 MinIO WebUI 的 `Configuration - API - Cors Allow Origin` 中配置,也可以在 Docker Compose 中的 `minio - environment - MINIO_API_CORS_ALLOW_ORIGIN` 中配置。 @@ -358,13 +358,13 @@ docker compose up -d # 重新启动 src="https://github.com/user-attachments/assets/72f02ce5-9991-425b-9864-9113ee1ed6bf" /> -5. 重启 LobeChat 服务: +5. 重启 Mr.🆖 AI 服务: ```sh docker compose up -d ``` -至此,你已经成功部署了 LobeChat 数据库版本,你可以通过 `https://lobe.example.com` 访问你的 LobeChat 服务。 +至此,你已经成功部署了 Mr.🆖 AI 数据库版本,你可以通过 `https://lobe.example.com` 访问你的 Mr.🆖 AI 服务。 ## 附录 @@ -373,7 +373,7 @@ docker compose up -d # 重新启动 ### `.env` ```sh -# 必填,LobeChat 域名,用于 tRPC 调用 +# 必填,Mr.🆖 AI 域名,用于 tRPC 调用 # 请保证此域名在你的 NextAuth 鉴权服务提供商、S3 服务商的 CORS 白名单中 APP_URL=https://lobe.example.com/ @@ -464,7 +464,7 @@ services: - 'MINIO_ROOT_USER=YOUR_MINIO_USER' - 'MINIO_ROOT_PASSWORD=YOUR_MINIO_PASSWORD' - 'MINIO_DOMAIN=lobe-s3-api.example.com' - - 'MINIO_API_CORS_ALLOW_ORIGIN=https://lobe.example.com' # Your LobeChat's domain name. + - 'MINIO_API_CORS_ALLOW_ORIGIN=https://lobe.example.com' # Your Mr.🆖 AI's domain name. restart: always command: > server /etc/minio/data --address ":9000" --console-address ":9001" diff --git a/docs/self-hosting/server-database/docker.mdx b/docs/self-hosting/server-database/docker.mdx index 91ddbd013bad..fa94dace4c19 100644 --- a/docs/self-hosting/server-database/docker.mdx +++ b/docs/self-hosting/server-database/docker.mdx @@ -1,10 +1,10 @@ --- -title: Deploying LobeChat Database with Docker +title: Deploying Mr.🆖 AI Database with Docker description: >- - Learn how to deploy the LobeChat server database version using Docker on Linux + Learn how to deploy the Mr.🆖 AI server database version using Docker on Linux and local machines. tags: - - LobeChat + - Mr.🆖 AI - Docker - Database Deployment - Postgres @@ -23,14 +23,14 @@ tags: This article assumes that you are familiar with the basic principles and processes of deploying - the LobeChat server database version, so it only includes content related to core environment - variable configuration. If you are not familiar with the deployment principles of the LobeChat + the Mr.🆖 AI server database version, so it only includes content related to core environment + variable configuration. If you are not familiar with the deployment principles of the Mr.🆖 AI server database version, please refer to [Deploying Server Database](/docs/self-hosting/server-database) first. - Due to the inability to expose `NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY` using Docker environment variables, you cannot use Clerk as an authentication service when deploying LobeChat using Docker / Docker Compose. + Due to the inability to expose `NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY` using Docker environment variables, you cannot use Clerk as an authentication service when deploying Mr.🆖 AI using Docker / Docker Compose. If you do need Clerk as an authentication service, you might consider deploying using Vercel or building your own image. @@ -38,7 +38,7 @@ If you do need Clerk as an authentication service, you might consider deploying ## Deploying on a Linux Server -Here is the process for deploying the LobeChat server database version on a Linux server: +Here is the process for deploying the Mr.🆖 AI server database version on a Linux server: @@ -56,7 +56,7 @@ The above command will create a PG instance named `my-postgres` on the network ` The pgvector plugin provides vector search capabilities for Postgres, which is an important - component for LobeChat to implement RAG. + component for Mr.🆖 AI to implement RAG. @@ -89,8 +89,8 @@ AUTH_AUTH0_ISSUER=https://lobe-chat-demo.us.auth0.com S3_ACCESS_KEY_ID=xxxxxxxxxx S3_SECRET_ACCESS_KEY=xxxxxxxxxx S3_ENDPOINT=https://xxxxxxxxxx.r2.cloudflarestorage.com -S3_BUCKET=lobechat -S3_PUBLIC_DOMAIN=https://s3-for-lobechat.your-domain.com +S3_BUCKET=Mr.🆖 AI +S3_PUBLIC_DOMAIN=https://s3-for-Mr.🆖 AI.your-domain.com # Other environment variables, as needed. You can refer to the environment variables configuration for the client version, making sure not to have ACCESS_CODE. # OPENAI_API_KEY=sk-xxxx @@ -135,7 +135,7 @@ If you see the following logs in the container, it means it has started successf ## Using Locally (Mac / Windows) -The data version of LobeChat also supports direct use on a local Mac/Windows machine. +The data version of Mr.🆖 AI also supports direct use on a local Mac/Windows machine. Here, we assume that you have a pg instance available on port 5432 locally on your Mac/Windows, with the account `postgres` and password `mysecretpassword`, accessible at `localhost:5432`. @@ -155,8 +155,8 @@ $ docker run -it -d --name lobe-chat-database -p 3210:3210 \ -e S3_ACCESS_KEY_ID=xxxxxxxxxx \ -e S3_SECRET_ACCESS_KEY=xxxxxxxxxx \ -e S3_ENDPOINT=https://xxxxxxxxxx.r2.cloudflarestorage.com \ - -e S3_BUCKET=lobechat \ - -e S3_PUBLIC_DOMAIN=https://s3-for-lobechat.your-domain.com \ + -e S3_BUCKET=Mr.🆖 AI \ + -e S3_PUBLIC_DOMAIN=https://s3-for-Mr.🆖 AI.your-domain.com \ lobehub/lobe-chat-database ``` diff --git a/docs/self-hosting/server-database/docker.zh-CN.mdx b/docs/self-hosting/server-database/docker.zh-CN.mdx index d6e9d3103a67..1c80e860c8a9 100644 --- a/docs/self-hosting/server-database/docker.zh-CN.mdx +++ b/docs/self-hosting/server-database/docker.zh-CN.mdx @@ -1,9 +1,9 @@ --- -title: 使用 Docker 部署 LobeChat 数据库 -description: 详细步骤教你如何在 Docker 中部署 LobeChat 服务端数据库。 +title: 使用 Docker 部署 Mr.🆖 AI 数据库 +description: 详细步骤教你如何在 Docker 中部署 Mr.🆖 AI 服务端数据库。 tags: - Docker - - LobeChat + - Mr.🆖 AI - 数据库部署 - Postgres --- @@ -20,8 +20,8 @@ tags:
- 本文已经假定你了解了 LobeChat 服务端数据库版本(下简称 DB - 版)的部署基本原理和流程,因此只包含核心环境变量配置的内容。如果你还不了解 LobeChat DB + 本文已经假定你了解了 Mr.🆖 AI 服务端数据库版本(下简称 DB + 版)的部署基本原理和流程,因此只包含核心环境变量配置的内容。如果你还不了解 Mr.🆖 AI DB 版的部署原理,请先查阅 [使用服务端数据库部署](/zh/docs/self-hosting/server-database) 。 此外,针对国内的腾讯云储存桶用户,可查询[配置腾讯云 COS 存储服务](/zh/docs/self-hosting/advanced/s3/tencent-cloud)。 @@ -29,7 +29,7 @@ tags: 由于无法使用 Docker 环境变量暴露 `NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY`,使用 Docker / Docker Compose - 部署 LobeChat 时,你不能使用 Clerk 作为登录鉴权服务。 + 部署 Mr.🆖 AI 时,你不能使用 Clerk 作为登录鉴权服务。 如果你确实需要 Clerk 作为登录鉴权服务,你可以考虑使用 Vercel 部署或者自行构建镜像。 @@ -37,7 +37,7 @@ tags: ## 在 Linux 服务器上部署 -以下是在 Linux 服务器上部署 LobeChat DB 版的流程: +以下是在 Linux 服务器上部署 Mr.🆖 AI DB 版的流程: @@ -54,7 +54,7 @@ docker run --name my-postgres --network pg -e POSTGRES_PASSWORD=mysecretpassword 上述指令会创建一个名为 `my-postgres`,并且网络为 `pg` 的 PG 实例,其中 `pgvector/pgvector:pg16` 是一个 Postgres 16 的镜像,且默认安装了 pgvector 插件。 - pgvector 插件为 Postgres 提供了向量搜索的能力,是 LobeChat 实现 RAG 的重要构件之一。 + pgvector 插件为 Postgres 提供了向量搜索的能力,是 Mr.🆖 AI 实现 RAG 的重要构件之一。 @@ -88,9 +88,9 @@ S3_ACCESS_KEY_ID=xxxxxxxxxx S3_SECRET_ACCESS_KEY=xxxxxxxxxx # 用于 S3 API 访问的域名 S3_ENDPOINT=https://xxxxxxxxxx.r2.cloudflarestorage.com -S3_BUCKET=lobechat +S3_BUCKET=Mr.🆖 AI # 用于外网访问 S3 的公共域名,需配置 CORS -S3_PUBLIC_DOMAIN=https://s3-for-lobechat.your-domain.com +S3_PUBLIC_DOMAIN=https://s3-for-Mr.🆖 AI.your-domain.com # S3_REGION=ap-chengdu # 如果需要指定地域 # 其他环境变量,视需求而定 @@ -137,7 +137,7 @@ docker logs -f lobe-chat-database ## 在本地(Mac / Windows) 上使用 -LobeChat 的 DB 版也支持直接在本地的 Mac/Windows 本地使用。 +Mr.🆖 AI 的 DB 版也支持直接在本地的 Mac/Windows 本地使用。 在此我们已假设你的本地有一个 5432 端口可用,账号为 `postgres` ,密码是 `mysecretpassword` 的 pg 实例,它在 `localhost:5432` 可用。 @@ -157,8 +157,8 @@ $ docker run -it -d --name lobe-chat-database -p 3210:3210 \ -e S3_ACCESS_KEY_ID=xxxxxxxxxx \ -e S3_SECRET_ACCESS_KEY=xxxxxxxxxx \ -e S3_ENDPOINT=https://xxxxxxxxxx.r2.cloudflarestorage.com \ - -e S3_BUCKET=lobechat \ - -e S3_PUBLIC_DOMAIN=https://s3-for-lobechat.your-domain.com \ + -e S3_BUCKET=Mr.🆖 AI \ + -e S3_PUBLIC_DOMAIN=https://s3-for-Mr.🆖 AI.your-domain.com \ lobehub/lobe-chat-database ``` diff --git a/docs/self-hosting/server-database/dokploy.mdx b/docs/self-hosting/server-database/dokploy.mdx index 67d80cb25f91..b0745d70cfa2 100644 --- a/docs/self-hosting/server-database/dokploy.mdx +++ b/docs/self-hosting/server-database/dokploy.mdx @@ -1,17 +1,17 @@ --- -title: Deploy LobeChat with database on Dokploy +title: Deploy Mr.🆖 AI with database on Dokploy description: >- - Learn how to deploy LobeChat with database on Dokploy with ease, including: + Learn how to deploy Mr.🆖 AI with database on Dokploy with ease, including: database, authentication and S3 storage service. tags: - - Deploy LobeChat + - Deploy Mr.🆖 AI - Vercel Deployment - OpenAI API Key - Custom Domain Binding --- # Deploying Server Database Version on Dokploy. -This article will detail how to deploy the server database version of LobeChat. +This article will detail how to deploy the server database version of Mr.🆖 AI. ## 1. Preparation Work ### Deploy Dokploy and configure related settings. ```shell @@ -47,7 +47,7 @@ Enter the previously created Project, click on Create Service, and select Databa ![](https://github.com/user-attachments/assets/97899819-278f-42fd-804a-144d521d4b4f) -Enter the created database and set an unused port in External Credentials to allow external access; otherwise, LobeChat will not be able to connect to the database. +Enter the created database and set an unused port in External Credentials to allow external access; otherwise, Mr.🆖 AI will not be able to connect to the database. You can view the Postgres database connection URL in External Host, as shown below: ```shell postgresql://postgres:wAbLxfXSwkxxxxxx@45.577.281.48:5432/postgres @@ -56,12 +56,12 @@ Finally, click Deploy to deploy the database. ![](https://github.com/user-attachments/assets/b4e89dd4-877b-43fe-aa42-4680de17ba8e) -## Deploy LobeChat on Dokploy. -Click "Create Service", select "Application", and create the LobeChat application. +## Deploy Mr.🆖 AI on Dokploy. +Click "Create Service", select "Application", and create the Mr.🆖 AI application. ![](https://github.com/user-attachments/assets/4cbbbcce-36be-48ff-bb0b-31607a0bba5c) -Enter the created LobeChat application, select the forked lobe-chat project and branch, and click Save to save. +Enter the created Mr.🆖 AI application, select the forked lobe-chat project and branch, and click Save to save. ![](https://github.com/user-attachments/assets/2bb4c09d-75bb-4c46-bb2f-faf538308305) @@ -110,11 +110,11 @@ After adding the environment variables and saving, click Deploy to initiate the ![](https://github.com/user-attachments/assets/411e2002-61f0-4010-9841-18e88ca895ec) -After a successful deployment, bind your own domain to your LobeChat application and request a certificate on the Domains page. +After a successful deployment, bind your own domain to your Mr.🆖 AI application and request a certificate on the Domains page. ![](https://github.com/user-attachments/assets/dd6bc4a4-3c20-4162-87fd-5cac57e5d7e7) -## Check if LobeChat is working properly. -Go to your LobeChat website, and if you click on the login button in the upper left corner and the login pop-up appears normally, it means you have configured it successfully. Enjoy it to the fullest! +## Check if Mr.🆖 AI is working properly. +Go to your Mr.🆖 AI website, and if you click on the login button in the upper left corner and the login pop-up appears normally, it means you have configured it successfully. Enjoy it to the fullest! ![](https://github.com/user-attachments/assets/798ddb18-50c7-462a-a083-0c6841351d26) diff --git a/docs/self-hosting/server-database/dokploy.zh-CN.mdx b/docs/self-hosting/server-database/dokploy.zh-CN.mdx index 3c7a2b8cbfee..3391bba8bf1d 100644 --- a/docs/self-hosting/server-database/dokploy.zh-CN.mdx +++ b/docs/self-hosting/server-database/dokploy.zh-CN.mdx @@ -1,18 +1,18 @@ ---- -title: 在 Dokploy 上部署 LobeChat 的服务端数据库版本 -description: 本文详细介绍如何在 Dokploy 中部署服务端数据库版 LobeChat,包括数据库配置、身份验证服务配置的设置步骤。 -tags: - - 服务端数据库 - - Postgres - - Clerk - - Dokploy部署 - - 数据库配置 - - 身份验证服务 - - 环境变量配置 ---- +--- +title: 在 Dokploy 上部署 Mr.🆖 AI 的服务端数据库版本 +description: 本文详细介绍如何在 Dokploy 中部署服务端数据库版 Mr.🆖 AI,包括数据库配置、身份验证服务配置的设置步骤。 +tags: + - 服务端数据库 + - Postgres + - Clerk + - Dokploy部署 + - 数据库配置 + - 身份验证服务 + - 环境变量配置 +--- # 在 Dokploy 上部署服务端数据库版 -本文将详细介绍如何在 Dokploy 中部署服务端数据库版 LobeChat。 +本文将详细介绍如何在 Dokploy 中部署服务端数据库版 Mr.🆖 AI。 ## 一、准备工作 ### 部署 Dokploy 并进行相关设置 ```shell @@ -48,7 +48,7 @@ CLERK_WEBHOOK_SECRET=whsec_xxxxxxxxxxxxxxxxxxxxxx ![](https://github.com/user-attachments/assets/97899819-278f-42fd-804a-144d521d4b4f) -进入创建的数据库,在 External Credentials 设置一个未被占用的端口,使其能能通过外部访问,否则 LobeChat 将无法连接到该数据库。 +进入创建的数据库,在 External Credentials 设置一个未被占用的端口,使其能能通过外部访问,否则 Mr.🆖 AI 将无法连接到该数据库。 你可以在 External Host 查看 Postgres 数据库连接 URL ,如下: ```shell postgresql://postgres:wAbLxfXSwkxxxxxx@45.577.281.48:5432/postgres @@ -57,12 +57,12 @@ postgresql://postgres:wAbLxfXSwkxxxxxx@45.577.281.48:5432/postgres ![](https://github.com/user-attachments/assets/b4e89dd4-877b-43fe-aa42-4680de17ba8e) -## 在 Dokploy 上部署 LobeChat -点击 Create Service 选择 Application,创建 LobeChat 应用 +## 在 Dokploy 上部署 Mr.🆖 AI +点击 Create Service 选择 Application,创建 Mr.🆖 AI 应用 ![](https://github.com/user-attachments/assets/4cbbbcce-36be-48ff-bb0b-31607a0bba5c) -进入创建的 LobeChat 应用,选择你 fork 的 lobe-chat 项目及分支,点击 Save 保存 +进入创建的 Mr.🆖 AI 应用,选择你 fork 的 lobe-chat 项目及分支,点击 Save 保存 ![](https://github.com/user-attachments/assets/2bb4c09d-75bb-4c46-bb2f-faf538308305) @@ -111,12 +111,12 @@ OPENAI_PROXY_URL= ![](https://github.com/user-attachments/assets/411e2002-61f0-4010-9841-18e88ca895ec) -部署成功后在 Domains 页面,为你的 LobeChat 应用绑定自己的域名并申请证书。 +部署成功后在 Domains 页面,为你的 Mr.🆖 AI 应用绑定自己的域名并申请证书。 ![](https://github.com/user-attachments/assets/dd6bc4a4-3c20-4162-87fd-5cac57e5d7e7) -## 验证 LobeChat 是否正常工作 -进入你的 LobeChat 网址,如果你点击左上角登录,可以正常显示登录弹窗,那么说明你已经配置成功了,尽情享用吧~ +## 验证 Mr.🆖 AI 是否正常工作 +进入你的 Mr.🆖 AI 网址,如果你点击左上角登录,可以正常显示登录弹窗,那么说明你已经配置成功了,尽情享用吧~ ![](https://github.com/user-attachments/assets/798ddb18-50c7-462a-a083-0c6841351d26) diff --git a/docs/self-hosting/server-database/netlify.mdx b/docs/self-hosting/server-database/netlify.mdx index bcc0e0fd82fc..cfdf3f2910e2 100644 --- a/docs/self-hosting/server-database/netlify.mdx +++ b/docs/self-hosting/server-database/netlify.mdx @@ -1,13 +1,13 @@ --- -title: Deploy LobeChat with Database on Netlify +title: Deploy Mr.🆖 AI with Database on Netlify description: >- - Learn how to deploy LobeChat on Netlify with ease, including: database, + Learn how to deploy Mr.🆖 AI on Netlify with ease, including: database, authentication and S3 storage service. tags: - - Deploy LobeChat + - Deploy Mr.🆖 AI - Netlify Deployment --- -# Deploy LobeChat with Database on Netlify +# Deploy Mr.🆖 AI with Database on Netlify TODO diff --git a/docs/self-hosting/server-database/netlify.zh-CN.mdx b/docs/self-hosting/server-database/netlify.zh-CN.mdx index c71f604fa208..4dcc3407a340 100644 --- a/docs/self-hosting/server-database/netlify.zh-CN.mdx +++ b/docs/self-hosting/server-database/netlify.zh-CN.mdx @@ -1,16 +1,16 @@ --- -title: 在 Netlify 上部署 LobeChat 服务端数据库版 +title: 在 Netlify 上部署 Mr.🆖 AI 服务端数据库版 description: >- - 学习如何在 Netlify 上部署 LobeChat,包括 Fork 仓库、准备 OpenAI API Key、导入到 Netlify + 学习如何在 Netlify 上部署 Mr.🆖 AI,包括 Fork 仓库、准备 OpenAI API Key、导入到 Netlify 工作台、配置站点名称与环境变量等步骤。 tags: - Netlify - - LobeChat + - Mr.🆖 AI - 部署教程 - OpenAI API Key - 环境配置 --- -# 使用 Netlify 部署 LobeChat 数据库版 +# 使用 Netlify 部署 Mr.🆖 AI 数据库版 TODO diff --git a/docs/self-hosting/server-database/railway.mdx b/docs/self-hosting/server-database/railway.mdx index d59f1243dd4a..d6073218638d 100644 --- a/docs/self-hosting/server-database/railway.mdx +++ b/docs/self-hosting/server-database/railway.mdx @@ -1,13 +1,13 @@ --- -title: Deploy LobeChat with Database on Railway +title: Deploy Mr.🆖 AI with Database on Railway description: >- - Learn how to deploy LobeChat on Railway with ease, including: database, + Learn how to deploy Mr.🆖 AI on Railway with ease, including: database, authentication and S3 storage service. tags: - - Deploy LobeChat + - Deploy Mr.🆖 AI - Railway Deployment --- -# Deploy LobeChat with Database on Railway +# Deploy Mr.🆖 AI with Database on Railway TODO diff --git a/docs/self-hosting/server-database/railway.zh-CN.mdx b/docs/self-hosting/server-database/railway.zh-CN.mdx index c51def9a1b06..1e2988a5a741 100644 --- a/docs/self-hosting/server-database/railway.zh-CN.mdx +++ b/docs/self-hosting/server-database/railway.zh-CN.mdx @@ -1,15 +1,15 @@ --- -title: 在 Railway 上部署 LobeChat 数据库版 -description: 学习如何在 Railway 上部署 LobeChat 应用,包括准备 OpenAI API Key、点击按钮进行部署、绑定自定义域名等步骤。 +title: 在 Railway 上部署 Mr.🆖 AI 数据库版 +description: 学习如何在 Railway 上部署 Mr.🆖 AI 应用,包括准备 OpenAI API Key、点击按钮进行部署、绑定自定义域名等步骤。 tags: - Railway - 部署 - - LobeChat + - Mr.🆖 AI - OpenAI - API Key - 自定义域名 --- -# 使用 Railway 部署 LobeChat 数据库版 +# 使用 Railway 部署 Mr.🆖 AI 数据库版 TODO diff --git a/docs/self-hosting/server-database/repocloud.mdx b/docs/self-hosting/server-database/repocloud.mdx index 55e04e33ed77..1b123ed3b267 100644 --- a/docs/self-hosting/server-database/repocloud.mdx +++ b/docs/self-hosting/server-database/repocloud.mdx @@ -1,18 +1,18 @@ --- -title: Deploy LobeChat with Database on RepoCloud +title: Deploy Mr.🆖 AI with Database on RepoCloud description: >- - Learn how to deploy LobeChat on RepoCloud with ease, including database, + Learn how to deploy Mr.🆖 AI on RepoCloud with ease, including database, authentication and S3 storage service. tags: - - Deploy LobeChat + - Deploy Mr.🆖 AI - RepoCloud Deployment - OpenAI API Key - Custom Domain Binding --- -# Deploying LobeChat Database Edition with RepoCloud +# Deploying Mr.🆖 AI Database Edition with RepoCloud -If you want to deploy LobeChat Database Edition on RepoCloud, you can follow the steps below: +If you want to deploy Mr.🆖 AI Database Edition on RepoCloud, you can follow the steps below: ## RepoCloud Deployment Process diff --git a/docs/self-hosting/server-database/repocloud.zh-CN.mdx b/docs/self-hosting/server-database/repocloud.zh-CN.mdx index ae397c86216f..54908d3082dd 100644 --- a/docs/self-hosting/server-database/repocloud.zh-CN.mdx +++ b/docs/self-hosting/server-database/repocloud.zh-CN.mdx @@ -1,17 +1,17 @@ --- -title: 在 RepoCloud 上部署 LobeChat 数据库版 -description: 学习如何在 RepoCloud 上部署 LobeChat 应用,包括准备 OpenAI API Key、点击部署按钮、绑定自定义域名等操作。 +title: 在 RepoCloud 上部署 Mr.🆖 AI 数据库版 +description: 学习如何在 RepoCloud 上部署 Mr.🆖 AI 应用,包括准备 OpenAI API Key、点击部署按钮、绑定自定义域名等操作。 tags: - RepoCloud - - LobeChat + - Mr.🆖 AI - 部署流程 - OpenAI API Key - 自定义域名 --- -# 在 RepoCloud 上部署 LobeChat 数据库版 +# 在 RepoCloud 上部署 Mr.🆖 AI 数据库版 -如果您想在RepoCloud上部署LobeChat数据库版,可以按照以下步骤进行操作: +如果您想在RepoCloud上部署Mr.🆖 AI数据库版,可以按照以下步骤进行操作: ## RepoCloud部署流程 diff --git a/docs/self-hosting/server-database/sealos.mdx b/docs/self-hosting/server-database/sealos.mdx index 8150ce2267d2..48fe1d336773 100644 --- a/docs/self-hosting/server-database/sealos.mdx +++ b/docs/self-hosting/server-database/sealos.mdx @@ -1,15 +1,15 @@ --- -title: Deploy LobeChat on SealOS +title: Deploy Mr.🆖 AI on SealOS description: >- - Learn how to deploy LobeChat on SealOS with ease. Follow the provided steps to - set up LobeChat and start using it efficiently. + Learn how to deploy Mr.🆖 AI on SealOS with ease. Follow the provided steps to + set up Mr.🆖 AI and start using it efficiently. tags: - - Deploy LobeChat + - Deploy Mr.🆖 AI - SealOS Deployment - OpenAI API Key - Custom Domain Binding --- -# Deploy LobeChat on SealOS +# Deploy Mr.🆖 AI on SealOS TODO diff --git a/docs/self-hosting/server-database/sealos.zh-CN.mdx b/docs/self-hosting/server-database/sealos.zh-CN.mdx index f880f452bb90..fbc1ffcaef2b 100644 --- a/docs/self-hosting/server-database/sealos.zh-CN.mdx +++ b/docs/self-hosting/server-database/sealos.zh-CN.mdx @@ -1,14 +1,14 @@ --- -title: 在 SealOS 上部署 LobeChat -description: 学习如何在 SealOS 上部署 LobeChat,包括准备 OpenAI API Key、点击部署按钮、绑定自定义域名等操作。 +title: 在 SealOS 上部署 Mr.🆖 AI +description: 学习如何在 SealOS 上部署 Mr.🆖 AI,包括准备 OpenAI API Key、点击部署按钮、绑定自定义域名等操作。 tags: - SealOS - - LobeChat + - Mr.🆖 AI - OpenAI API Key - 部署流程 - 自定义域名 --- -# 使用 SealOS 部署 LobeChat 数据库版 +# 使用 SealOS 部署 Mr.🆖 AI 数据库版 TODO diff --git a/docs/self-hosting/server-database/vercel.mdx b/docs/self-hosting/server-database/vercel.mdx index 909b2448885f..ae44a2793902 100644 --- a/docs/self-hosting/server-database/vercel.mdx +++ b/docs/self-hosting/server-database/vercel.mdx @@ -1,10 +1,10 @@ --- -title: Deploy LobeChat with database on Vercel +title: Deploy Mr.🆖 AI with database on Vercel description: >- - Learn how to deploy LobeChat with database on Vercel with ease, including: + Learn how to deploy Mr.🆖 AI with database on Vercel with ease, including: database, authentication and S3 storage service. tags: - - Deploy LobeChat + - Deploy Mr.🆖 AI - Vercel Deployment - OpenAI API Key - Custom Domain Binding @@ -12,7 +12,7 @@ tags: # Deploying Server Database Version on Vercel -This article will detail how to deploy the server database version of LobeChat on Vercel, including: 1) database configuration; 2) identity authentication service configuration; 3) steps for setting up the S3 storage service. +This article will detail how to deploy the server database version of Mr.🆖 AI on Vercel, including: 1) database configuration; 2) identity authentication service configuration; 3) steps for setting up the S3 storage service. @@ -114,7 +114,7 @@ Make sure to add this to the Vercel environment variables as well. ### Add the `APP_URL` Environment Variable -Finally, you need to add the `APP_URL` environment variable, which specifies the URL address of the LobeChat application. +Finally, you need to add the `APP_URL` environment variable, which specifies the URL address of the Mr.🆖 AI application. @@ -251,11 +251,11 @@ The corresponding environment variables are: ```shell # Storage bucket name -S3_BUCKET=lobechat +S3_BUCKET=Mr.🆖 AI # Storage bucket request endpoint (note that the path in this link includes the bucket name, which must be removed, or use the link provided on the S3 API token application page) S3_ENDPOINT=https://0b33a03b5c993fd2f453379dc36558e5.r2.cloudflarestorage.com # Public access domain for the storage bucket -S3_PUBLIC_DOMAIN=https://s3-for-lobechat.your-domain.com +S3_PUBLIC_DOMAIN=https://s3-for-Mr.🆖 AI.your-domain.com ``` @@ -264,7 +264,7 @@ S3_PUBLIC_DOMAIN=https://s3-for-lobechat.your-domain.com ### Obtain S3 Key Environment Variables -You need to obtain the access key for S3 so that the LobeChat server has permission to access the S3 storage service. In R2, you can configure the access key in the account details: +You need to obtain the access key for S3 so that the Mr.🆖 AI server has permission to access the S3 storage service. In R2, you can configure the access key in the account details: {'View ### Redeploy the latest commit @@ -421,11 +421,11 @@ S3_ACCESS_KEY_ID=9998d6757e276cf9f1edbd325b7083a6 S3_SECRET_ACCESS_KEY=55af75d8eb6b99f189f6a35f855336ea62cd9c4751a5cf4337c53c1d3f497ac2 # Bucket name -S3_BUCKET=lobechat +S3_BUCKET=Mr.🆖 AI # Bucket request endpoint S3_ENDPOINT=https://0b33a03b5c993fd2f453379dc36558e5.r2.cloudflarestorage.com # Public access domain for the bucket -S3_PUBLIC_DOMAIN=https://s3-for-lobechat.your-domain.com +S3_PUBLIC_DOMAIN=https://s3-for-Mr.🆖 AI.your-domain.com # Bucket region, such as us-west-1, generally not needed to add, but some service providers may require configuration # S3_REGION=us-west-1 ``` diff --git a/docs/self-hosting/server-database/vercel.zh-CN.mdx b/docs/self-hosting/server-database/vercel.zh-CN.mdx index bbcc7a86531b..64662a6c61df 100644 --- a/docs/self-hosting/server-database/vercel.zh-CN.mdx +++ b/docs/self-hosting/server-database/vercel.zh-CN.mdx @@ -1,6 +1,6 @@ --- -title: 在 Vercel 上部署 LobeChat 的服务端数据库版本 -description: 本文详细介绍如何在 Vercel 中部署服务端数据库版 LobeChat,包括数据库配置、身份验证服务配置和 S3 存储服务的设置步骤。 +title: 在 Vercel 上部署 Mr.🆖 AI 的服务端数据库版本 +description: 本文详细介绍如何在 Vercel 中部署服务端数据库版 Mr.🆖 AI,包括数据库配置、身份验证服务配置和 S3 存储服务的设置步骤。 tags: - 服务端数据库 - Postgres @@ -14,7 +14,7 @@ tags: # 在 Vercel 上部署服务端数据库版 -本文将详细介绍如何在 Vercel 中部署服务端数据库版 LobeChat,包括: 1)数据库配置;2)身份验证服务配置;3) S3 存储服务的设置步骤。 +本文将详细介绍如何在 Vercel 中部署服务端数据库版 Mr.🆖 AI,包括: 1)数据库配置;2)身份验证服务配置;3) S3 存储服务的设置步骤。 进行后续操作前,请务必确认以下事项: - @@ -104,7 +104,7 @@ KEY_VAULTS_SECRET=jgwsK28dspyVQoIf8/M3IIHl1h6LYYceSYNXeLpy6uk= ### 添加 `APP_URL` 环境变量 -该部分最后需要添加 APP_URL 环境变量,用于指定LobeChat 应用的 URL 地址。 +该部分最后需要添加 APP_URL 环境变量,用于指定Mr.🆖 AI 应用的 URL 地址。
@@ -233,18 +233,18 @@ CLERK_WEBHOOK_SECRET=whsec_xxxxxxxxxxxxxxxxxxxxxx ```shell # 存储桶的名称 -S3_BUCKET=lobechat +S3_BUCKET=Mr.🆖 AI # 存储桶的请求端点(注意此处链接的路径带存储桶名称,必须删除该路径,或使用申请 S3 API token 页面所提供的链接) S3_ENDPOINT=https://0b33a03b5c993fd2f453379dc36558e5.r2.cloudflarestorage.com # 存储桶对外的访问域名 -S3_PUBLIC_DOMAIN=https://s3-for-lobechat.your-domain.com +S3_PUBLIC_DOMAIN=https://s3-for-Mr.🆖 AI.your-domain.com ``` `S3_ENDPOINT`必须删除其路径,否则会无法访问所上传文件 ### 获取 S3 密钥环境变量 - 你需要获取 S3 的访问密钥,以便 LobeChat 的服务端有权限访问 S3 存储服务。在 R2 中,你可以在账户详情中配置访问密钥: + 你需要获取 S3 的访问密钥,以便 Mr.🆖 AI 的服务端有权限访问 S3 存储服务。在 R2 中,你可以在账户详情中配置访问密钥: {'查看存储桶的访问秘钥'} ### 重新部署最新的 commit @@ -399,11 +399,11 @@ S3_ACCESS_KEY_ID=9998d6757e276cf9f1edbd325b7083a6 S3_SECRET_ACCESS_KEY=55af75d8eb6b99f189f6a35f855336ea62cd9c4751a5cf4337c53c1d3f497ac2 # 存储桶的名称 -S3_BUCKET=lobechat +S3_BUCKET=Mr.🆖 AI # 存储桶的请求端点 S3_ENDPOINT=https://0b33a03b5c993fd2f453379dc36558e5.r2.cloudflarestorage.com # 存储桶对外的访问域名 -S3_PUBLIC_DOMAIN=https://s3-for-lobechat.your-domain.com +S3_PUBLIC_DOMAIN=https://s3-for-Mr.🆖 AI.your-domain.com # 桶的区域,如 us-west-1,一般来说不需要添加,但某些服务商则需要配置 # S3_REGION=us-west-1 ``` diff --git a/docs/self-hosting/server-database/zeabur.mdx b/docs/self-hosting/server-database/zeabur.mdx index e5e4fa411adb..5f1f84c59359 100644 --- a/docs/self-hosting/server-database/zeabur.mdx +++ b/docs/self-hosting/server-database/zeabur.mdx @@ -1,21 +1,21 @@ --- -title: Deploying LobeChat Database on Zeabur +title: Deploying Mr.🆖 AI Database on Zeabur description: >- - Learn how to deploy LobeChat on Zeabur with ease. Follow the provided steps to + Learn how to deploy Mr.🆖 AI on Zeabur with ease. Follow the provided steps to set up your chat application seamlessly. tags: - - Deploy LobeChat + - Deploy Mr.🆖 AI - Zeabur Deployment - OpenAI API Key - Custom Domain Binding --- -# Deploying LobeChat Database on Zeabur +# Deploying Mr.🆖 AI Database on Zeabur This article assumes that you are familiar with the basic principles and processes of deploying - the LobeChat server database version, so it only includes content related to core environment - variable configuration. If you are not familiar with the deployment principles of the LobeChat + the Mr.🆖 AI server database version, so it only includes content related to core environment + variable configuration. If you are not familiar with the deployment principles of the Mr.🆖 AI server database version, please refer to [Deploying Server Database](/docs/self-hosting/server-database) first. @@ -25,17 +25,17 @@ The template on Zeabur includes 4 services: - Logto for authrization. - PostgreSQL with Vector plugin for data storage and indexing. - MinIO for image storage. -- LobeChat database version. +- Mr.🆖 AI database version. ## Deploying on Zeabur -Here is the process for deploying the LobeChat server database version on Zeabur: +Here is the process for deploying the Mr.🆖 AI server database version on Zeabur: ### Go to the template page on Zeabur -Go to the [LobeChat Database template page](https://zeabur.com/templates/RRSPSD) on Zeabur and click on the "Deploy" button. +Go to the [Mr.🆖 AI Database template page](https://zeabur.com/templates/RRSPSD) on Zeabur and click on the "Deploy" button. ### Fill in the required environment variables @@ -45,7 +45,7 @@ Here are the environment variables you need to fill in: - OpenAI API key: Your OpenAI API key to get responses from OpenAI. -- LobeChat Domain: A free subdomain with `.zeabur.app` suffix. +- Mr.🆖 AI Domain: A free subdomain with `.zeabur.app` suffix. - MinIO Public Domain: A free subdomain with `.zeabur.app` suffix for yout MinIO web port to enable public access for the uploaded files. @@ -55,7 +55,7 @@ Here are the environment variables you need to fill in: ### Select a region and deploy -After you fill all the required environment variables, select a region where you want to deploy your LobeChat Database and click on the "Deploy" button. +After you fill all the required environment variables, select a region where you want to deploy your Mr.🆖 AI Database and click on the "Deploy" button. You will see another modal pop-up where you can see the deployment progress. @@ -65,13 +65,13 @@ After the deployment is done, you need to configure your Logto service to enable Access your Logto console with the console domain you just binded, and then create a `Next.js 14(App router)` application to get the client ID and client secret, and fill in the cors and callback URLs. You can check [this document](../advanced/auth.mdx) for a more detailed guide. -Fill in those variables into your LobeChat service on Zeabur, here is a more detailed guide for [editing environment variables on Zeabur](https://zeabur.com/docs/deploy/variables). +Fill in those variables into your Mr.🆖 AI service on Zeabur, here is a more detailed guide for [editing environment variables on Zeabur](https://zeabur.com/docs/deploy/variables). For detailed configuration of Logto, refer to [this document](/docs/self-hosting/advanced/auth/next-auth/logto). -### Access your LobeChat Instance +### Access your Mr.🆖 AI Instance -Press on the `LobeChat-Database` and you can see the public domain you just created, click on it to access your LobeChat Database. +Press on the `Mr.🆖 AI-Database` and you can see the public domain you just created, click on it to access your Mr.🆖 AI Database. You can also bind a custom domain for your services if you want, here is a guide on how to [bind a custom domain on Zeabur](https://zeabur.com/docs/deploy/domain-binding). diff --git a/docs/self-hosting/server-database/zeabur.zh-CN.mdx b/docs/self-hosting/server-database/zeabur.zh-CN.mdx index b1c572c4ef52..7a6b2ac4fda2 100644 --- a/docs/self-hosting/server-database/zeabur.zh-CN.mdx +++ b/docs/self-hosting/server-database/zeabur.zh-CN.mdx @@ -1,19 +1,19 @@ --- -title: 在 Zeabur 上部署 LobeChat -description: 按照指南准备 OpenAI API Key 并点击按钮进行部署。在部署完成后,即可开始使用 LobeChat 并选择是否绑定自定义域名。 +title: 在 Zeabur 上部署 Mr.🆖 AI +description: 按照指南准备 OpenAI API Key 并点击按钮进行部署。在部署完成后,即可开始使用 Mr.🆖 AI 并选择是否绑定自定义域名。 tags: - Zeabur - - LobeChat + - Mr.🆖 AI - OpenAI API Key - 部署流程 - 自定义域名 --- -# 使用 Zeabur 部署 LobeChat 数据库版 +# 使用 Zeabur 部署 Mr.🆖 AI 数据库版 - 本文假设你已经熟悉 LobeChat - 服务器数据库版的部署基本原理和流程,因此只包含与核心环境变量配置相关的内容。如果你对 LobeChat + 本文假设你已经熟悉 Mr.🆖 AI + 服务器数据库版的部署基本原理和流程,因此只包含与核心环境变量配置相关的内容。如果你对 Mr.🆖 AI 服务器数据库版的部署原理不熟悉,请先参考[部署服务器数据库](/zh/docs/self-hosting/server-database)。 @@ -22,17 +22,17 @@ tags: - Logto 提供身份校验 - 带有 Vector 插件的 PostgreSQL 来做数据存储和向量化 - MinIO 作为对象存储 -- LobeChat Database 的实例 +- Mr.🆖 AI Database 的实例 ## 在 Zeabur 上部署 -这里是在 Zeabur 上部署 LobeChat 服务器数据库版的流程: +这里是在 Zeabur 上部署 Mr.🆖 AI 服务器数据库版的流程: ### 前往 Zeabur 上的模板页面 -前往 [Zeabur 上的 LobeChat 数据库模板页面](https://zeabur.com/templates/RRSPSD) 并点击 "Deploy" 按钮。 +前往 [Zeabur 上的 Mr.🆖 AI 数据库模板页面](https://zeabur.com/templates/RRSPSD) 并点击 "Deploy" 按钮。 ### 填写必要的环境变量 @@ -41,14 +41,14 @@ tags: 以下是你需要填写的环境变量: - OpenAI API key: 你的 OpenAI API key 用于获取模型的访问权限。 -- LobeChat Domain: 一个免费的 `.zeabur.app` 后缀的域名。 +- Mr.🆖 AI Domain: 一个免费的 `.zeabur.app` 后缀的域名。 - MinIO Public Domain: 一个免费的 `.zeabur.app` 后缀的域名为了暴露 MinIO 服务以公开访问资源。 - Logto Console Domain: 一个免费的 `.zeabur.app` 后缀的域名来访问 Logto 的控制台。 - Logto API Domain: 一个免费的 `.zeabur.app` 后缀的域名来访问 Logto 的 API。 ### 选择一个区域并部署 -在你填写完所有必要的环境变量后,选择一个你想要部署 LobeChat 数据库的区域并点击“部署”按钮。 +在你填写完所有必要的环境变量后,选择一个你想要部署 Mr.🆖 AI 数据库的区域并点击“部署”按钮。 你会看到另一个模态弹窗,你可以在这里看到部署的进度。 @@ -56,13 +56,13 @@ tags: 当部署完成后,你会被自动导航到你在 Zeabur 控制台上刚刚创建的项目。你需要再进一步配置你的 Logto 服务。 -使用你刚绑定的域名来访问你的 Logto 控制台,创建一个新项目以获得对应的客户端 ID 与密钥,将它们填入你的 LobeChat 服务的变量中。关于如何填入变量,可以参照 [Zeabur 的官方文档](https://zeabur.com/docs/deploy/variables)。 +使用你刚绑定的域名来访问你的 Logto 控制台,创建一个新项目以获得对应的客户端 ID 与密钥,将它们填入你的 Mr.🆖 AI 服务的变量中。关于如何填入变量,可以参照 [Zeabur 的官方文档](https://zeabur.com/docs/deploy/variables)。 Logto 的详细配置可以参考[这篇文档](/zh/docs/self-hosting/advanced/auth/next-auth/logto)。 -### 访问你的 LobeChat +### 访问你的 Mr.🆖 AI -按下 `LobeChat-Database` 你会看到你刚刚创建的公共域名,点击它以访问你的 LobeChat 数据库。 +按下 `Mr.🆖 AI-Database` 你会看到你刚刚创建的公共域名,点击它以访问你的 Mr.🆖 AI 数据库。 你可以选择绑定一个自定义域名,这里有一个关于如何在 Zeabur 上[绑定自定义域名](https://zeabur.com/docs/deploy/domain-binding)的指南。 diff --git a/docs/self-hosting/start.mdx b/docs/self-hosting/start.mdx index c1af7e400f8e..1717e281740f 100644 --- a/docs/self-hosting/start.mdx +++ b/docs/self-hosting/start.mdx @@ -1,8 +1,8 @@ --- -title: Build Your Own LobeChat - Choose Your Deployment Platform +title: Build Your Own Mr.🆖 AI - Choose Your Deployment Platform description: >- Explore multiple deployment platforms like Vercel, Docker, Docker Compose, and - more to deploy LobeChat. Choose the platform that best suits your needs. + more to deploy Mr.🆖 AI. Choose the platform that best suits your needs. tags: - Lobe Chat - Deployment Platform @@ -14,13 +14,13 @@ tags: # Build Your Own Lobe Chat -LobeChat supports various deployment platforms, including Vercel, Docker, and Docker Compose. You can choose a deployment platform that suits you to build your own Lobe Chat. +Mr.🆖 AI supports various deployment platforms, including Vercel, Docker, and Docker Compose. You can choose a deployment platform that suits you to build your own Lobe Chat. ## Quick Deployment -For users who are new to LobeChat, we recommend using the client-side database mode for quick deployment. The advantage of this mode is that deployment can be quickly completed with just one command/button, making it easy for you to quickly get started and experience LobeChat. +For users who are new to Mr.🆖 AI, we recommend using the client-side database mode for quick deployment. The advantage of this mode is that deployment can be quickly completed with just one command/button, making it easy for you to quickly get started and experience Mr.🆖 AI. -You can follow the guide below for quick deployment of LobeChat: +You can follow the guide below for quick deployment of Mr.🆖 AI: @@ -32,7 +32,7 @@ You can follow the guide below for quick deployment of LobeChat: ## Advanced Mode: Server-Side Database -For users who are already familiar with LobeChat or need cross-device synchronization, you can deploy a version with a server-side database to access a more complete and powerful LobeChat. +For users who are already familiar with Mr.🆖 AI or need cross-device synchronization, you can deploy a version with a server-side database to access a more complete and powerful Mr.🆖 AI. - 选择适合自己的部署平台,构建个性化的 Lobe Chat。支持 Docker、Docker Compose、Netlify、Railway、Repocloud、SealOS、Vercel 和 Zeabur 部署。 @@ -15,13 +15,13 @@ tags: # 构建属于自己的 Lobe Chat -LobeChat 支持多种部署平台,包括 Vercel、Docker、 Docker Compose 和 阿里云计算巢 等,你可以选择适合自己的部署平台进行部署,构建属于自己的 Lobe Chat。 +Mr.🆖 AI 支持多种部署平台,包括 Vercel、Docker、 Docker Compose 和 阿里云计算巢 等,你可以选择适合自己的部署平台进行部署,构建属于自己的 Lobe Chat。 ## 快速部署 -对于第一次了解 LobeChat 的用户,我们推荐使用客户端数据库的模式快速部署,该模式的优势是一行指令/一个按钮即可快捷完成部署,便于你快速上手与体验 LobeChat。 +对于第一次了解 Mr.🆖 AI 的用户,我们推荐使用客户端数据库的模式快速部署,该模式的优势是一行指令/一个按钮即可快捷完成部署,便于你快速上手与体验 Mr.🆖 AI。 -你可以通过以下指南快速部署 LobeChat: +你可以通过以下指南快速部署 Mr.🆖 AI: @@ -31,7 +31,7 @@ LobeChat 支持多种部署平台,包括 Vercel、Docker、 Docker Compose 和 ## 进阶模式:服务端数据库 -针对已经了解 LobeChat 的用户,或需要多端同步的用户,可以自行部署带有服务端数据库的版本,进而获得更完整、功能更强大的 LobeChat。 +针对已经了解 Mr.🆖 AI 的用户,或需要多端同步的用户,可以自行部署带有服务端数据库的版本,进而获得更完整、功能更强大的 Mr.🆖 AI。 diff --git a/docs/usage/agents/agent-organization.mdx b/docs/usage/agents/agent-organization.mdx index 477dcccec226..a6004d92a98e 100644 --- a/docs/usage/agents/agent-organization.mdx +++ b/docs/usage/agents/agent-organization.mdx @@ -1,10 +1,10 @@ --- -title: Efficiently Organize Your AI Assistants with LobeChat +title: Efficiently Organize Your AI Assistants with Mr.🆖 AI description: >- - Learn how to use LobeChat's grouping, search, and pinning functions to + Learn how to use Mr.🆖 AI's grouping, search, and pinning functions to efficiently organize and locate your AI assistants. tags: - - LobeChat + - Mr.🆖 AI - AI assistants - assistant organization - grouping @@ -20,13 +20,13 @@ tags: src={'https://github.com/user-attachments/assets/5e04b71a-4c25-4f3d-ae7d-9237ffcb37be'} /> -LobeChat provides a rich variety of AI assistant resources. Users can easily add various assistants through the assistant market, offering a wide range of application scenarios for AI applications. +Mr.🆖 AI provides a rich variety of AI assistant resources. Users can easily add various assistants through the assistant market, offering a wide range of application scenarios for AI applications. -When you have added a large number of assistants, finding a specific assistant in the list may become challenging. LobeChat provides `search`, `grouping`, and `pinning` functions to help you better organize assistants and improve efficiency in locating them. +When you have added a large number of assistants, finding a specific assistant in the list may become challenging. Mr.🆖 AI provides `search`, `grouping`, and `pinning` functions to help you better organize assistants and improve efficiency in locating them. ## Assistant Grouping -Firstly, LobeChat's AI assistants support organization through grouping. You can categorize assistants of the same type together and easily search for the required assistants by collapsing and expanding groups. +Firstly, Mr.🆖 AI's AI assistants support organization through grouping. You can categorize assistants of the same type together and easily search for the required assistants by collapsing and expanding groups. ### Assistant Settings diff --git a/docs/usage/agents/agent-organization.zh-CN.mdx b/docs/usage/agents/agent-organization.zh-CN.mdx index 5ce6aa52e4e6..9be9906e56a0 100644 --- a/docs/usage/agents/agent-organization.zh-CN.mdx +++ b/docs/usage/agents/agent-organization.zh-CN.mdx @@ -1,8 +1,8 @@ --- -title: LobeChat 助手组织指南 - 提升助手管理效率 -description: 了解如何通过分组、搜索和固定功能更好地组织 LobeChat 的 AI 助手,提升助手管理效率和定位效率。 +title: Mr.🆖 AI 助手组织指南 - 提升助手管理效率 +description: 了解如何通过分组、搜索和固定功能更好地组织 Mr.🆖 AI 的 AI 助手,提升助手管理效率和定位效率。 tags: - - LobeChat + - Mr.🆖 AI - AI 助手 - 助手组织 - 分组设置 @@ -18,13 +18,13 @@ tags: src={'https://github.com/user-attachments/assets/5e04b71a-4c25-4f3d-ae7d-9237ffcb37be'} /> -LobeChat 提供了丰富的 AI 助手资源,用户可以通过助手市场方便地添加各类助手,为 AI 应用提供了广泛的应用场景。 +Mr.🆖 AI 提供了丰富的 AI 助手资源,用户可以通过助手市场方便地添加各类助手,为 AI 应用提供了广泛的应用场景。 -当你添加了大量助手后,在列表中寻找特定助手可能会变得比较困难。LobeChat 提供了`搜索`、`分组`和`固定`功能,帮助您更好地组织助手,提升定位效率。 +当你添加了大量助手后,在列表中寻找特定助手可能会变得比较困难。Mr.🆖 AI 提供了`搜索`、`分组`和`固定`功能,帮助您更好地组织助手,提升定位效率。 ## 助手分组 -首先 LobeChat 的 AI 助手支持以分组的方式进行组织。你可以将同类型的助手归类到一起,并通过折叠和展开分组的方式方便地查询所需助手。 +首先 Mr.🆖 AI 的 AI 助手支持以分组的方式进行组织。你可以将同类型的助手归类到一起,并通过折叠和展开分组的方式方便地查询所需助手。 ### 助手设置 diff --git a/docs/usage/agents/concepts.mdx b/docs/usage/agents/concepts.mdx index 358957978451..4869480c971a 100644 --- a/docs/usage/agents/concepts.mdx +++ b/docs/usage/agents/concepts.mdx @@ -1,11 +1,11 @@ --- -title: Improving User Interaction Efficiency with Agents in LobeChat +title: Improving User Interaction Efficiency with Agents in Mr.🆖 AI description: >- - Discover how LobeChat's innovative approach with Agents enhances user + Discover how Mr.🆖 AI's innovative approach with Agents enhances user experience by providing dedicated functional modules for efficient task handling and quick access to historical conversations. tags: - - LobeChat + - Mr.🆖 AI - Agents - User Interaction Efficiency - Task Handling @@ -29,7 +29,7 @@ However, in our usage, we have found that this model has many issues. For exampl ## Topics and "Agent" -Therefore, in LobeChat, we have introduced the concept of **Agents**. An agent is a complete functional module, each with its own responsibilities and tasks. Assistants can help you handle various tasks and provide professional advice and guidance. +Therefore, in Mr.🆖 AI, we have introduced the concept of **Agents**. An agent is a complete functional module, each with its own responsibilities and tasks. Assistants can help you handle various tasks and provide professional advice and guidance. {'Topics- - Learn how to add assistants to your favorites list in LobeChat through the + Learn how to add assistants to your favorites list in Mr.🆖 AI through the role market or by creating custom assistants. Explore detailed steps for creating custom assistants and quick setup tips. tags: - - LobeChat + - Mr.🆖 AI - Adding Assistants - Custom Assistant - Role Market @@ -15,11 +15,11 @@ tags: # Custom Assistant Guide -As the basic functional unit of LobeChat, adding and iterating assistants is very important. Now you can add assistants to your favorites list in two ways. +As the basic functional unit of Mr.🆖 AI, adding and iterating assistants is very important. Now you can add assistants to your favorites list in two ways. ## `A` Add through the role market -If you are a beginner in Prompt writing, you might want to browse the assistant market of LobeChat first. Here, you can find commonly used assistants submitted by others and easily add them to your list with just one click, which is very convenient. +If you are a beginner in Prompt writing, you might want to browse the assistant market of Mr.🆖 AI first. Here, you can find commonly used assistants submitted by others and easily add them to your list with just one click, which is very convenient. {'Add- Explore the capabilities of ChatGPT models from gpt-3.5-turbo to gpt-4-32k, understanding their speed, context limits, and cost. Learn about model diff --git a/docs/usage/agents/prompt.mdx b/docs/usage/agents/prompt.mdx index 6d38cf6b787e..58c5109c479e 100644 --- a/docs/usage/agents/prompt.mdx +++ b/docs/usage/agents/prompt.mdx @@ -1,6 +1,6 @@ --- title: >- - Guide to Using Prompts in LobeChat - How to Write Effective Instructions for + Guide to Using Prompts in Mr.🆖 AI - How to Write Effective Instructions for Generative AI description: >- Learn the basic concepts of prompts and how to write well-structured and diff --git a/docs/usage/agents/prompt.zh-CN.mdx b/docs/usage/agents/prompt.zh-CN.mdx index 31578925bf49..5d6a04626ea9 100644 --- a/docs/usage/agents/prompt.zh-CN.mdx +++ b/docs/usage/agents/prompt.zh-CN.mdx @@ -1,5 +1,5 @@ --- -title: 如何通过 LobeChat 写好结构化 Prompt - 提高生成式 AI 输出质量的关键 +title: 如何通过 Mr.🆖 AI 写好结构化 Prompt - 提高生成式 AI 输出质量的关键 description: 学习如何撰写结构化 Prompt 可以提高生成式 AI 输出的质量和效果。本文介绍了撰写有效 Prompt 的方法和技巧,以及如何逐步扩展和优化生成的结果。 tags: - 结构化 Prompt diff --git a/docs/usage/agents/topics.mdx b/docs/usage/agents/topics.mdx index 1c8f2965faa2..cedfe3610500 100644 --- a/docs/usage/agents/topics.mdx +++ b/docs/usage/agents/topics.mdx @@ -1,7 +1,7 @@ --- -title: LobeChat Topic Usage Guide +title: Mr.🆖 AI Topic Usage Guide description: >- - Learn how to save and manage topics during conversations in LobeChat, + Learn how to save and manage topics during conversations in Mr.🆖 AI, including saving topics, accessing the topic list, and pinning favorite topics. tags: diff --git a/docs/usage/agents/topics.zh-CN.mdx b/docs/usage/agents/topics.zh-CN.mdx index 2a903387f9e3..56db5535b977 100644 --- a/docs/usage/agents/topics.zh-CN.mdx +++ b/docs/usage/agents/topics.zh-CN.mdx @@ -1,6 +1,6 @@ --- -title: LobeChat 话题使用指南 - 保存话题、快速切换历史记录 -description: 学习如何在 LobeChat 中保存话题、快速切换历史记录,并对话题进行收藏、重命名和删除操作。 +title: Mr.🆖 AI 话题使用指南 - 保存话题、快速切换历史记录 +description: 学习如何在 Mr.🆖 AI 中保存话题、快速切换历史记录,并对话题进行收藏、重命名和删除操作。 tags: - 话题使用指南 - 保存话题 diff --git a/docs/usage/features/agent-market.mdx b/docs/usage/features/agent-market.mdx index fca028fb494e..9cfdc7ef06ed 100644 --- a/docs/usage/features/agent-market.mdx +++ b/docs/usage/features/agent-market.mdx @@ -1,11 +1,11 @@ --- -title: Find best Assistants in LobeChat Assistant Market +title: Find best Assistants in Mr.🆖 AI Assistant Market description: >- - Explore a vibrant community of carefully designed assistants in LobeChat's + Explore a vibrant community of carefully designed assistants in Mr.🆖 AI's Assistant Market. Contribute your wisdom and share your personally developed assistants in this collaborative space. tags: - - LobeChat + - Mr.🆖 AI - Assistant Market - Community - Collaboration @@ -23,11 +23,11 @@ tags: } /> -In LobeChat's Assistant Market, creators can discover a vibrant and innovative community that brings together numerous carefully designed assistants. These assistants not only play a crucial role in work scenarios but also provide great convenience in the learning process. Our market is not just a showcase platform, but also a collaborative space. Here, everyone can contribute their wisdom and share their personally developed assistants. +In Mr.🆖 AI's Assistant Market, creators can discover a vibrant and innovative community that brings together numerous carefully designed assistants. These assistants not only play a crucial role in work scenarios but also provide great convenience in the learning process. Our market is not just a showcase platform, but also a collaborative space. Here, everyone can contribute their wisdom and share their personally developed assistants. By [🤖/🏪 submitting agents](https://github.com/lobehub/lobe-chat-agents), you can easily submit - your assistant works to our platform. We particularly emphasize that LobeChat has established a + your assistant works to our platform. We particularly emphasize that Mr.🆖 AI has established a sophisticated automated internationalization (i18n) workflow, which excels in seamlessly converting your assistants into multiple language versions. This means that regardless of the language your users are using, they can seamlessly experience your assistant. diff --git a/docs/usage/features/agent-market.zh-CN.mdx b/docs/usage/features/agent-market.zh-CN.mdx index 91d6927109bb..1cda3843bc9a 100644 --- a/docs/usage/features/agent-market.zh-CN.mdx +++ b/docs/usage/features/agent-market.zh-CN.mdx @@ -1,9 +1,9 @@ --- -title: 在 LobeChat 助手市场找到创新 AI 助手 +title: 在 Mr.🆖 AI 助手市场找到创新 AI 助手 description: >- - LobeChat助手市场是一个充满活力和创新的社区,汇聚了众多精心设计的助手,为工作场景和学习提供便利。欢迎提交你的助手作品,共同创造更多有趣、实用且具有创新性的助手。 + Mr.🆖 AI助手市场是一个充满活力和创新的社区,汇聚了众多精心设计的助手,为工作场景和学习提供便利。欢迎提交你的助手作品,共同创造更多有趣、实用且具有创新性的助手。 tags: - - LobeChat + - Mr.🆖 AI - 助手市场 - 创新社区 - 协作空间 @@ -22,11 +22,11 @@ tags: } /> -在 LobeChat 的助手市场中,创作者们可以发现一个充满活力和创新的社区,它汇聚了众多精心设计的助手,这些助手不仅在工作场景中发挥着重要作用,也在学习过程中提供了极大的便利。我们的市场不仅是一个展示平台,更是一个协作的空间。在这里,每个人都可以贡献自己的智慧,分享个人开发的助手。 +在 Mr.🆖 AI 的助手市场中,创作者们可以发现一个充满活力和创新的社区,它汇聚了众多精心设计的助手,这些助手不仅在工作场景中发挥着重要作用,也在学习过程中提供了极大的便利。我们的市场不仅是一个展示平台,更是一个协作的空间。在这里,每个人都可以贡献自己的智慧,分享个人开发的助手。 通过 [🤖/🏪 提交助手](https://github.com/lobehub/lobe-chat-agents) - ,你可以轻松地将你的助手作品提交到我们的平台。我们特别强调的是,LobeChat + ,你可以轻松地将你的助手作品提交到我们的平台。我们特别强调的是,Mr.🆖 AI 建立了一套精密的自动化国际化(i18n)工作流程, 它的强大之处在于能够无缝地将你的助手转化为多种语言版本。这意味着,不论你的用户使用何种语言,他们都能无障碍地体验到你的助手。 diff --git a/docs/usage/features/auth.mdx b/docs/usage/features/auth.mdx index ba9afb971952..05a9044f84f6 100644 --- a/docs/usage/features/auth.mdx +++ b/docs/usage/features/auth.mdx @@ -1,7 +1,7 @@ --- title: Support Multi-User Management - Identity Verification Solutions description: >- - Explore LobeChat's user authentication solutions with next-auth and Clerk for + Explore Mr.🆖 AI's user authentication solutions with next-auth and Clerk for flexible and secure user management. Learn about features like user registration, session management, multi-factor authentication, and more. tags: @@ -23,11 +23,11 @@ tags: src={'https://github.com/lobehub/lobe-chat/assets/17870709/8ce70e15-40df-451e-b700-66090fe5b8c2'} /> -In modern applications, user management and identity verification are essential functions. To meet the diverse needs of different users, LobeChat provides two main user authentication and management solutions: `next-auth` and `Clerk`. Whether you are looking for simple user registration and login or need advanced multi-factor authentication and user management, LobeChat can flexibly accommodate your requirements. +In modern applications, user management and identity verification are essential functions. To meet the diverse needs of different users, Mr.🆖 AI provides two main user authentication and management solutions: `next-auth` and `Clerk`. Whether you are looking for simple user registration and login or need advanced multi-factor authentication and user management, Mr.🆖 AI can flexibly accommodate your requirements. ## next-auth: Flexible and Powerful Identity Verification Library -LobeChat integrates `next-auth`, a flexible and powerful identity verification library that supports various authentication methods, including OAuth, email login, and credential login. With `next-auth`, you can easily achieve the following functions: +Mr.🆖 AI integrates `next-auth`, a flexible and powerful identity verification library that supports various authentication methods, including OAuth, email login, and credential login. With `next-auth`, you can easily achieve the following functions: - **User Registration and Login**: Support various authentication methods to meet different user needs. - **Session Management**: Efficiently manage user sessions to ensure security. @@ -46,7 +46,7 @@ LobeChat integrates `next-auth`, a flexible and powerful identity verification l ## Clerk: Modern User Management Platform -For users requiring advanced user management features, LobeChat also supports [Clerk](https://clerk.com), a modern user management platform. Clerk offers richer functionality to help you achieve higher security and flexibility: +For users requiring advanced user management features, Mr.🆖 AI also supports [Clerk](https://clerk.com), a modern user management platform. Clerk offers richer functionality to help you achieve higher security and flexibility: - **Multi-Factor Authentication (MFA)**: Provides higher security protection. - **User Profile Management**: Conveniently manage user information and configurations. diff --git a/docs/usage/features/auth.zh-CN.mdx b/docs/usage/features/auth.zh-CN.mdx index 983c0c7b4dc7..52609756f474 100644 --- a/docs/usage/features/auth.zh-CN.mdx +++ b/docs/usage/features/auth.zh-CN.mdx @@ -1,8 +1,8 @@ --- title: 多用户管理支持 -description: LobeChat 提供了多种用户认证和管理方案,以满足不同用户的需求。 +description: Mr.🆖 AI 提供了多种用户认证和管理方案,以满足不同用户的需求。 tags: - - LobeChat + - Mr.🆖 AI - 用户管理 - next-auth - Clerk @@ -18,11 +18,11 @@ tags: src={'https://github.com/lobehub/lobe-chat/assets/17870709/8ce70e15-40df-451e-b700-66090fe5b8c2'} /> -在现代应用中,用户管理和身份验证是至关重要的功能。为满足不同用户的多样化需求,LobeChat 提供了两种主要的用户认证和管理方案:`next-auth` 和 `Clerk`。无论您是追求简便的用户注册登录,还是需要更高级的多因素认证和用户管理,LobeChat 都可以灵活实现。 +在现代应用中,用户管理和身份验证是至关重要的功能。为满足不同用户的多样化需求,Mr.🆖 AI 提供了两种主要的用户认证和管理方案:`next-auth` 和 `Clerk`。无论您是追求简便的用户注册登录,还是需要更高级的多因素认证和用户管理,Mr.🆖 AI 都可以灵活实现。 ## next-auth:灵活且强大的身份验证库 -LobeChat 集成了 `next-auth`,一个灵活且强大的身份验证库,支持多种身份验证方式,包括 OAuth、邮件登录、凭证登录等。通过 `next-auth`,您可以轻松实现以下功能: +Mr.🆖 AI 集成了 `next-auth`,一个灵活且强大的身份验证库,支持多种身份验证方式,包括 OAuth、邮件登录、凭证登录等。通过 `next-auth`,您可以轻松实现以下功能: - **用户注册和登录**:支持多种认证方式,满足不同用户的需求。 - **会话管理**:高效管理用户会话,确保安全性。 @@ -41,7 +41,7 @@ LobeChat 集成了 `next-auth`,一个灵活且强大的身份验证库,支 ## Clerk:现代化用户管理平台 -对于需要更高级用户管理功能的用户,LobeChat 还支持 [Clerk](https://clerk.com) ,一个现代化的用户管理平台。Clerk 提供了更丰富的功能,帮助您实现更高的安全性和灵活性: +对于需要更高级用户管理功能的用户,Mr.🆖 AI 还支持 [Clerk](https://clerk.com) ,一个现代化的用户管理平台。Clerk 提供了更丰富的功能,帮助您实现更高的安全性和灵活性: - **多因素认证 (MFA)**:提供更高的安全保障。 - **用户配置文件管理**:便捷管理用户信息和配置。 diff --git a/docs/usage/features/database.mdx b/docs/usage/features/database.mdx index 83ef17bd15a5..a81bb164c3aa 100644 --- a/docs/usage/features/database.mdx +++ b/docs/usage/features/database.mdx @@ -1,7 +1,7 @@ --- -title: Local / Cloud Database Solutions for LobeChat +title: Local / Cloud Database Solutions for Mr.🆖 AI description: >- - Explore the options of local and server-side databases for LobeChat, offering + Explore the options of local and server-side databases for Mr.🆖 AI, offering data control, privacy protection, and convenient user experiences. tags: - Local Database @@ -22,23 +22,23 @@ tags: src={'https://github.com/lobehub/lobe-chat/assets/17870709/c27a0234-a4e9-40e5-8bcb-42d5ce7e40f9'} /> -In modern application development, the choice of data storage solution is crucial. To meet the needs of different users, LobeChat offers flexible configurations that support both local and server-side databases. Whether you prioritize data privacy and control or seek a convenient user experience, LobeChat can provide excellent solutions for you. +In modern application development, the choice of data storage solution is crucial. To meet the needs of different users, Mr.🆖 AI offers flexible configurations that support both local and server-side databases. Whether you prioritize data privacy and control or seek a convenient user experience, Mr.🆖 AI can provide excellent solutions for you. ## Local Database: Data Control and Privacy Protection -For users who prefer more control over their data and value privacy protection, LobeChat offers support for local databases. By using IndexedDB as the storage solution and combining it with dexie as an Object-Relational Mapping (ORM) tool, LobeChat achieves efficient data management. +For users who prefer more control over their data and value privacy protection, Mr.🆖 AI offers support for local databases. By using IndexedDB as the storage solution and combining it with dexie as an Object-Relational Mapping (ORM) tool, Mr.🆖 AI achieves efficient data management. Additionally, we have introduced Conflict-Free Replicated Data Type (CRDT) technology to ensure a seamless multi-device synchronization experience. This experimental feature aims to provide users with greater autonomy and data security. - LobeChat defaults to the local database solution to reduce the onboarding cost for new users. + Mr.🆖 AI defaults to the local database solution to reduce the onboarding cost for new users. Furthermore, we have attempted to introduce CRDT technology to achieve cross-device synchronization based on the local database. This experimental feature aims to provide users with greater autonomy and data security. ## Server-Side Database: Convenient and Efficient User Experience -For users who seek a convenient user experience, LobeChat supports PostgreSQL as the server-side database. By managing data with Dirzzle ORM and combining it with Clerk for authentication, LobeChat can offer users an efficient and reliable server-side data management solution. +For users who seek a convenient user experience, Mr.🆖 AI supports PostgreSQL as the server-side database. By managing data with Dirzzle ORM and combining it with Clerk for authentication, Mr.🆖 AI can offer users an efficient and reliable server-side data management solution. ### Server-Side Database Technology Stack @@ -51,10 +51,10 @@ For users who seek a convenient user experience, LobeChat supports PostgreSQL as ### 1. Local Database -The local database solution is suitable for users who wish to have strict control over their data. With LobeChat's support for local databases, you can securely store and manage data without relying on external servers. This solution is particularly suitable for users with high requirements for data privacy. +The local database solution is suitable for users who wish to have strict control over their data. With Mr.🆖 AI's support for local databases, you can securely store and manage data without relying on external servers. This solution is particularly suitable for users with high requirements for data privacy. ### 2. Server-Side Database -The server-side database solution is ideal for users who want to simplify data management processes and enjoy a convenient user experience. Through server-side databases and user authentication, LobeChat can ensure the security and efficiency of data. If you want to learn how to configure a server-side database, please refer to our [detailed documentation](/docs/self-hosting/advanced/server-database). +The server-side database solution is ideal for users who want to simplify data management processes and enjoy a convenient user experience. Through server-side databases and user authentication, Mr.🆖 AI can ensure the security and efficiency of data. If you want to learn how to configure a server-side database, please refer to our [detailed documentation](/docs/self-hosting/advanced/server-database). -Whether you choose a local database or a server-side database, LobeChat can provide you with an excellent user experience. +Whether you choose a local database or a server-side database, Mr.🆖 AI can provide you with an excellent user experience. diff --git a/docs/usage/features/database.zh-CN.mdx b/docs/usage/features/database.zh-CN.mdx index 172afcadc6d1..9b29601363a8 100644 --- a/docs/usage/features/database.zh-CN.mdx +++ b/docs/usage/features/database.zh-CN.mdx @@ -1,8 +1,8 @@ --- -title: LobeChat 支持本地 / 云端数据库存储 -description: LobeChat 支持本地 / 云端数据存储,既能实现 Local First,同时支持数据云同步。 +title: Mr.🆖 AI 支持本地 / 云端数据库存储 +description: Mr.🆖 AI 支持本地 / 云端数据存储,既能实现 Local First,同时支持数据云同步。 tags: - - LobeChat + - Mr.🆖 AI - IndexedDB - Postgres - Local First @@ -18,21 +18,21 @@ tags: src={'https://github.com/lobehub/lobe-chat/assets/17870709/c27a0234-a4e9-40e5-8bcb-42d5ce7e40f9'} /> -在现代应用开发中,数据存储方案的选择至关重要。为了满足不同用户的需求,LobeChat 提供了同时支持本地数据库和服务端数据库的灵活配置。无论您是注重数据隐私与掌控,还是追求便捷的使用体验,LobeChat 都能为您提供卓越的解决方案。 +在现代应用开发中,数据存储方案的选择至关重要。为了满足不同用户的需求,Mr.🆖 AI 提供了同时支持本地数据库和服务端数据库的灵活配置。无论您是注重数据隐私与掌控,还是追求便捷的使用体验,Mr.🆖 AI 都能为您提供卓越的解决方案。 ## 本地数据库:数据掌控与隐私保护 -对于希望对数据有更多掌控感和隐私保护的用户,LobeChat 提供了本地数据库支持。采用 IndexedDB 作为存储解决方案,并结合 dexie 作为 ORM(对象关系映射),LobeChat 实现了高效的数据管理。 +对于希望对数据有更多掌控感和隐私保护的用户,Mr.🆖 AI 提供了本地数据库支持。采用 IndexedDB 作为存储解决方案,并结合 dexie 作为 ORM(对象关系映射),Mr.🆖 AI 实现了高效的数据管理。 同时,我们引入了 CRDT(Conflict-Free Replicated Data Type)技术,确保多端同步功能的无缝体验。这一实验性功能旨在为用户提供更高的自主性和数据安全性。 -LobeChat 默认采取本地数据库方案,以降低新用户的上手成本。 +Mr.🆖 AI 默认采取本地数据库方案,以降低新用户的上手成本。 此外,我们尝试引入了 CRDT(Conflict-Free Replicated Data Type)技术,在本地数据库基础上实现了跨端同步。这一实验性功能旨在为用户提供更高的自主性和数据安全性。 ## 服务端数据库:便捷与高效的使用体验 -对于追求便捷使用体验的用户,LobeChat 支持 PostgreSQL 作为服务端数据库。通过 Drizzle ORM 管理数据,结合 Clerk 进行身份验证,LobeChat 能够为用户提供高效、可靠的服务端数据管理方案。 +对于追求便捷使用体验的用户,Mr.🆖 AI 支持 PostgreSQL 作为服务端数据库。通过 Drizzle ORM 管理数据,结合 Clerk 进行身份验证,Mr.🆖 AI 能够为用户提供高效、可靠的服务端数据管理方案。 ### 服务端数据库技术栈 @@ -45,10 +45,10 @@ tags: ### 1. 本地数据库 -本地数据库方案适用于那些希望对数据进行严格控制的用户。通过 LobeChat 的本地数据库支持,您可以在不依赖外部服务器的情况下,安全地存储和管理数据。这一方案特别适合对数据隐私有高要求的用户。 +本地数据库方案适用于那些希望对数据进行严格控制的用户。通过 Mr.🆖 AI 的本地数据库支持,您可以在不依赖外部服务器的情况下,安全地存储和管理数据。这一方案特别适合对数据隐私有高要求的用户。 ### 2. 服务端数据库 -服务端数据库方案则适合那些希望简化数据管理流程,享受便捷使用体验的用户。通过服务端数据库与用户身份验证,LobeChat 能够确保数据的安全性与高效性。如果您希望了解如何配置服务端数据库,请参考我们的[详细文档](/zh/docs/self-hosting/advanced/server-database)。 +服务端数据库方案则适合那些希望简化数据管理流程,享受便捷使用体验的用户。通过服务端数据库与用户身份验证,Mr.🆖 AI 能够确保数据的安全性与高效性。如果您希望了解如何配置服务端数据库,请参考我们的[详细文档](/zh/docs/self-hosting/advanced/server-database)。 -无论选择本地数据库还是服务端数据库,LobeChat 都能为你提供卓越的用户体验。 +无论选择本地数据库还是服务端数据库,Mr.🆖 AI 都能为你提供卓越的用户体验。 diff --git a/docs/usage/features/local-llm.mdx b/docs/usage/features/local-llm.mdx index a84df3c9374f..c6707094b60e 100644 --- a/docs/usage/features/local-llm.mdx +++ b/docs/usage/features/local-llm.mdx @@ -1,13 +1,13 @@ --- -title: Using Local LLM in LobeChat +title: Using Local LLM in Mr.🆖 AI description: >- - Experience groundbreaking AI support with a local LLM in LobeChat powered by + Experience groundbreaking AI support with a local LLM in Mr.🆖 AI powered by Ollama AI. Start conversations effortlessly and enjoy unprecedented interaction speed! tags: - Local Large Language Model - Ollama AI - - LobeChat + - Mr.🆖 AI - AI communication - Natural Language Processing - Docker deployment @@ -24,13 +24,13 @@ tags: Available in >=0.127.0, currently only supports Docker deployment -With the release of LobeChat v0.127.0, we are excited to introduce a groundbreaking feature - Ollama AI support! 🤯 With the powerful infrastructure of [Ollama AI](https://ollama.ai/) and the [community's collaborative efforts](https://github.com/lobehub/lobe-chat/pull/1265), you can now engage in conversations with a local LLM (Large Language Model) in LobeChat! 🤩 +With the release of Mr.🆖 AI v0.127.0, we are excited to introduce a groundbreaking feature - Ollama AI support! 🤯 With the powerful infrastructure of [Ollama AI](https://ollama.ai/) and the [community's collaborative efforts](https://github.com/lobehub/lobe-chat/pull/1265), you can now engage in conversations with a local LLM (Large Language Model) in Mr.🆖 AI! 🤩 -We are thrilled to introduce this revolutionary feature to all LobeChat users at this special moment. The integration of Ollama AI not only signifies a significant technological leap for us but also reaffirms our commitment to continuously pursue more efficient and intelligent communication. +We are thrilled to introduce this revolutionary feature to all Mr.🆖 AI users at this special moment. The integration of Ollama AI not only signifies a significant technological leap for us but also reaffirms our commitment to continuously pursue more efficient and intelligent communication. ### How to Start a Conversation with Local LLM? -The startup process is exceptionally simple! By running the following Docker command, you can experience conversations with a local LLM in LobeChat: +The startup process is exceptionally simple! By running the following Docker command, you can experience conversations with a local LLM in Mr.🆖 AI: ```bash docker run -d -p 3210:3210 -e OLLAMA_PROXY_URL=http://host.docker.internal:11434/v1 lobehub/lobe-chat @@ -40,15 +40,15 @@ Yes, it's that simple! 🤩 You don't need to go through complicated configurati ### Experience Unprecedented Interaction Speed -With the powerful capabilities of Ollama AI, LobeChat has greatly improved its efficiency in natural language processing. Both processing speed and response time have reached new heights. This means that your conversational experience will be smoother, without any waiting, and with instant responses. +With the powerful capabilities of Ollama AI, Mr.🆖 AI has greatly improved its efficiency in natural language processing. Both processing speed and response time have reached new heights. This means that your conversational experience will be smoother, without any waiting, and with instant responses. ### Why Choose a Local LLM? Compared to cloud-based solutions, a local LLM provides higher privacy and security. All your conversations are processed locally, without passing through any external servers, ensuring the security of your data. Additionally, local processing can reduce network latency, providing you with a more immediate communication experience. -### Embark on Your LobeChat & Ollama AI Journey +### Embark on Your Mr.🆖 AI & Ollama AI Journey -Now, let's embark on this exciting journey together! Through the collaboration of LobeChat and Ollama AI, explore the endless possibilities brought by AI. Whether you are a tech enthusiast or simply curious about AI communication, LobeChat will offer you an unprecedented experience. +Now, let's embark on this exciting journey together! Through the collaboration of Mr.🆖 AI and Ollama AI, explore the endless possibilities brought by AI. Whether you are a tech enthusiast or simply curious about AI communication, Mr.🆖 AI will offer you an unprecedented experience. diff --git a/docs/usage/features/local-llm.zh-CN.mdx b/docs/usage/features/local-llm.zh-CN.mdx index c48643a0519e..3cf6c314f024 100644 --- a/docs/usage/features/local-llm.zh-CN.mdx +++ b/docs/usage/features/local-llm.zh-CN.mdx @@ -1,8 +1,8 @@ --- -title: 在 LobeChat 中使用本地大语言模型(LLM) -description: LobeChat 支持本地 LLM,使用 Ollama AI集成带来高效智能沟通。体验本地大语言模型的隐私性、安全性和即时交流 +title: 在 Mr.🆖 AI 中使用本地大语言模型(LLM) +description: Mr.🆖 AI 支持本地 LLM,使用 Ollama AI集成带来高效智能沟通。体验本地大语言模型的隐私性、安全性和即时交流 tags: - - '本地大语言模型,LLM,LobeChat v0.127.0,Ollama AI,Docker 部署' + - '本地大语言模型,LLM,Mr.🆖 AI v0.127.0,Ollama AI,Docker 部署' --- # 支持本地大语言模型(LLM) @@ -16,13 +16,13 @@ tags: 在 >=v0.127.0 版本中可用,目前仅支持 Docker 部署 -随着 LobeChat v0.127.0 的发布,我们迎来了一个激动人心的特性 —— Ollama AI 支持!🤯 在 [Ollama AI](https://ollama.ai/) 强大的基础设施和 [社区的共同努力](https://github.com/lobehub/lobe-chat/pull/1265) 下,现在您可以在 LobeChat 中与本地 LLM (Large Language Model) 进行交流了!🤩 +随着 Mr.🆖 AI v0.127.0 的发布,我们迎来了一个激动人心的特性 —— Ollama AI 支持!🤯 在 [Ollama AI](https://ollama.ai/) 强大的基础设施和 [社区的共同努力](https://github.com/lobehub/lobe-chat/pull/1265) 下,现在您可以在 Mr.🆖 AI 中与本地 LLM (Large Language Model) 进行交流了!🤩 -我们非常高兴能在这个特别的时刻,向所有 LobeChat 用户介绍这项革命性的特性。Ollama AI 的集成不仅标志着我们技术上的一个巨大飞跃,更是向用户承诺,我们将不断追求更高效、更智能的沟通方式。 +我们非常高兴能在这个特别的时刻,向所有 Mr.🆖 AI 用户介绍这项革命性的特性。Ollama AI 的集成不仅标志着我们技术上的一个巨大飞跃,更是向用户承诺,我们将不断追求更高效、更智能的沟通方式。 ### 如何启动与本地 LLM 的对话? -启动过程异常简单!您只需运行以下 Docker 命令行,就可以在 LobeChat 中体验与本地 LLM 的对话了: +启动过程异常简单!您只需运行以下 Docker 命令行,就可以在 Mr.🆖 AI 中体验与本地 LLM 的对话了: ```bash docker run -d -p 3210:3210 -e OLLAMA_PROXY_URL=http://host.docker.internal:11434/v1 lobehub/lobe-chat @@ -32,15 +32,15 @@ docker run -d -p 3210:3210 -e OLLAMA_PROXY_URL=http://host.docker.internal:11434 ### 体验前所未有的交互速度 -借助 Ollama AI 的强大能力,LobeChat 在进行自然语言处理方面的效率得到了极大的提升。无论是处理速度还是响应时间,都达到了新的高度。这意味着您的对话体验将更加流畅,无需等待,即时得到回应。 +借助 Ollama AI 的强大能力,Mr.🆖 AI 在进行自然语言处理方面的效率得到了极大的提升。无论是处理速度还是响应时间,都达到了新的高度。这意味着您的对话体验将更加流畅,无需等待,即时得到回应。 ### 为什么选择本地 LLM? 与基于云的解决方案相比,本地 LLM 提供了更高的隐私性和安全性。您的所有对话都在本地处理,不经过任何外部服务器,确保了您的数据安全性。此外,本地处理还能减少网络延迟,为您带来更加即时的交流体验。 -### 开启您的 LobeChat & Ollama AI 之旅 +### 开启您的 Mr.🆖 AI & Ollama AI 之旅 -现在,就让我们一起开启这段激动人心的旅程吧!通过 LobeChat 与 Ollama AI 的协作,探索 AI 带来的无限可能。无论您是技术爱好者,还是对 AI 交流充满好奇,LobeChat 都将为您提供一场前所未有的体验。 +现在,就让我们一起开启这段激动人心的旅程吧!通过 Mr.🆖 AI 与 Ollama AI 的协作,探索 AI 带来的无限可能。无论您是技术爱好者,还是对 AI 交流充满好奇,Mr.🆖 AI 都将为您提供一场前所未有的体验。 diff --git a/docs/usage/features/mobile.mdx b/docs/usage/features/mobile.mdx index d74d728daedf..051ca9498554 100644 --- a/docs/usage/features/mobile.mdx +++ b/docs/usage/features/mobile.mdx @@ -1,7 +1,7 @@ --- -title: LobeChat with Mobile Device Adaptation +title: Mr.🆖 AI with Mobile Device Adaptation description: >- - Explore the enhanced mobile user experience at LobeChat with optimized designs + Explore the enhanced mobile user experience at Mr.🆖 AI with optimized designs for smoother interactions. Share your feedback on GitHub! tags: - Mobile Device Adaptation @@ -19,6 +19,6 @@ tags: src={'https://github.com/lobehub/lobe-chat/assets/28616219/11110732-8d5a-4049-b556-c2561cb66182'} /> -LobeChat has undergone a series of optimized designs for mobile devices to enhance the user's mobile experience. +Mr.🆖 AI has undergone a series of optimized designs for mobile devices to enhance the user's mobile experience. Currently, we are iterating on the user experience for mobile devices to achieve a smoother and more intuitive interaction. If you have any suggestions or ideas, we warmly welcome your feedback through GitHub Issues or Pull Requests. diff --git a/docs/usage/features/mobile.zh-CN.mdx b/docs/usage/features/mobile.zh-CN.mdx index 5b881eb7416c..de873d3c400e 100644 --- a/docs/usage/features/mobile.zh-CN.mdx +++ b/docs/usage/features/mobile.zh-CN.mdx @@ -1,8 +1,8 @@ --- -title: LobeChat 移动设备适配 - 提升用户移动体验 -description: LobeChat针对移动设备进行优化设计,版本迭代以实现更流畅直观的交互。欢迎通过GitHub Issues或Pull Requests提供反馈。 +title: Mr.🆖 AI 移动设备适配 - 提升用户移动体验 +description: Mr.🆖 AI针对移动设备进行优化设计,版本迭代以实现更流畅直观的交互。欢迎通过GitHub Issues或Pull Requests提供反馈。 tags: - - LobeChat + - Mr.🆖 AI - 移动设备适配 - 用户体验 - 版本迭代 @@ -18,6 +18,6 @@ tags: src={'https://github.com/lobehub/lobe-chat/assets/28616219/11110732-8d5a-4049-b556-c2561cb66182'} /> -LobeChat 针对移动设备进行了一系列的优化设计,以提升用户的移动体验。 +Mr.🆖 AI 针对移动设备进行了一系列的优化设计,以提升用户的移动体验。 目前,我们正在对移动端的用户体验进行版本迭代,以实现更加流畅和直观的交互。如果您有任何建议或想法,我们非常欢迎您通过 GitHub Issues 或者 Pull Requests 提供反馈。 diff --git a/docs/usage/features/more.mdx b/docs/usage/features/more.mdx index 54848e9f9e82..d9c1d742c4d9 100644 --- a/docs/usage/features/more.mdx +++ b/docs/usage/features/more.mdx @@ -1,5 +1,5 @@ --- -title: More Features in LobeChat - Enhancing Design and Technical Capabilities +title: More Features in Mr.🆖 AI - Enhancing Design and Technical Capabilities description: >- Explore the additional features offered, including exquisite UI design, smooth conversation experience, fast deployment options, privacy and security diff --git a/docs/usage/features/more.zh-CN.mdx b/docs/usage/features/more.zh-CN.mdx index 735db7628ec9..13029143d584 100644 --- a/docs/usage/features/more.zh-CN.mdx +++ b/docs/usage/features/more.zh-CN.mdx @@ -1,5 +1,5 @@ --- -title: 更多 LobeChat 特性 - 提供精致 UI 设计和流畅的对话体验 +title: 更多 Mr.🆖 AI 特性 - 提供精致 UI 设计和流畅的对话体验 description: 了解更多产品特性,包括精致 UI 设计、流畅的对话体验和快速部署功能,为用户带来更好的体验。 tags: - 精致 UI 设计 diff --git a/docs/usage/features/multi-ai-providers.mdx b/docs/usage/features/multi-ai-providers.mdx index c212badb2601..87fddec1e6e5 100644 --- a/docs/usage/features/multi-ai-providers.mdx +++ b/docs/usage/features/multi-ai-providers.mdx @@ -1,11 +1,11 @@ --- -title: LobeChat with Multi AI Providers +title: Mr.🆖 AI with Multi AI Providers description: >- - Discover how LobeChat offers diverse model service provider support, including + Discover how Mr.🆖 AI offers diverse model service provider support, including AWS Bedrock, Google AI Gemini series, ChatGLM, and Moonshot AI, to cater to various user needs. Explore local model support with Ollama integration. tags: - - LobeChat + - Mr.🆖 AI - model service providers - AWS Bedrock - Google AI Gemini @@ -27,9 +27,9 @@ tags: Available in version 0.123.0 and later -In the continuous development of LobeChat, we deeply understand the importance of diversity in model service providers for meeting the needs of the community when providing AI conversation services. Therefore, we have expanded our support to multiple model service providers, rather than being limited to a single one, in order to offer users a more diverse and rich selection of conversations. +In the continuous development of Mr.🆖 AI, we deeply understand the importance of diversity in model service providers for meeting the needs of the community when providing AI conversation services. Therefore, we have expanded our support to multiple model service providers, rather than being limited to a single one, in order to offer users a more diverse and rich selection of conversations. -In this way, LobeChat can more flexibly adapt to the needs of different users, while also providing developers with a wider range of choices. +In this way, Mr.🆖 AI can more flexibly adapt to the needs of different users, while also providing developers with a wider range of choices. ## Supported Model Service Providers @@ -48,7 +48,7 @@ We have implemented support for the following model service providers: - **DeepSeek**: Integrated with the DeepSeek series models, an innovative AI startup from China, The product has been designed to provide a model that balances performance with price. [Learn more](https://www.deepseek.com/) - **Qwen**: Integrated with the Qwen series models, including the latest **qwen-turbo**, **qwen-plus** and **qwen-max**. [Learn more](https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction) -At the same time, we are also planning to support more model service providers, such as Replicate and Perplexity, to further enrich our service provider library. If you would like LobeChat to support your favorite service provider, feel free to join our [community discussion](https://github.com/lobehub/lobe-chat/discussions/1284). +At the same time, we are also planning to support more model service providers, such as Replicate and Perplexity, to further enrich our service provider library. If you would like Mr.🆖 AI to support your favorite service provider, feel free to join our [community discussion](https://github.com/lobehub/lobe-chat/discussions/1284). ## Local Model Support @@ -58,7 +58,7 @@ At the same time, we are also planning to support more model service providers, src={'https://github.com/lobehub/lobe-chat/assets/28616219/ca9a21bc-ea6c-4c90-bf4a-fa53b4fb2b5c'} /> -To meet the specific needs of users, LobeChat also supports the use of local models based on [Ollama](https://ollama.ai), allowing users to flexibly use their own or third-party models. For more details, see [Local Model Support](/docs/usage/features/local-llm). +To meet the specific needs of users, Mr.🆖 AI also supports the use of local models based on [Ollama](https://ollama.ai), allowing users to flexibly use their own or third-party models. For more details, see [Local Model Support](/docs/usage/features/local-llm). diff --git a/docs/usage/features/multi-ai-providers.zh-CN.mdx b/docs/usage/features/multi-ai-providers.zh-CN.mdx index 761f6e7f8c53..07c393856a47 100644 --- a/docs/usage/features/multi-ai-providers.zh-CN.mdx +++ b/docs/usage/features/multi-ai-providers.zh-CN.mdx @@ -1,8 +1,8 @@ --- -title: LobeChat 支持多模型服务商 -description: 了解 LobeChat 在多模型服务商支持方面的最新进展,包括已支持的模型服务商和计划中的扩展,以及本地模型支持的使用方式。 +title: Mr.🆖 AI 支持多模型服务商 +description: 了解 Mr.🆖 AI 在多模型服务商支持方面的最新进展,包括已支持的模型服务商和计划中的扩展,以及本地模型支持的使用方式。 tags: - - LobeChat + - Mr.🆖 AI - AI 会话服务 - 模型服务商 - 多模型支持 @@ -27,9 +27,9 @@ tags: 在 0.123.0 及以后版本中可用 -在 LobeChat 的不断发展过程中,我们深刻理解到在提供 AI 会话服务时模型服务商的多样性对于满足社区需求的重要性。因此,我们不再局限于单一的模型服务商,而是拓展了对多种模型服务商的支持,以便为用户提供更为丰富和多样化的会话选择。 +在 Mr.🆖 AI 的不断发展过程中,我们深刻理解到在提供 AI 会话服务时模型服务商的多样性对于满足社区需求的重要性。因此,我们不再局限于单一的模型服务商,而是拓展了对多种模型服务商的支持,以便为用户提供更为丰富和多样化的会话选择。 -通过这种方式,LobeChat 能够更灵活地适应不同用户的需求,同时也为开发者提供了更为广泛的选择空间。 +通过这种方式,Mr.🆖 AI 能够更灵活地适应不同用户的需求,同时也为开发者提供了更为广泛的选择空间。 ## 已支持的模型服务商 @@ -48,7 +48,7 @@ tags: - **DeepSeek**: 接入了 DeepSeek 的 AI 模型,包括最新的 **DeepSeek-V2**,提供兼顾性能与价格的模型。[了解更多](https://www.deepseek.com/) - **Qwen (通义千问)**: 接入了 Qwen 的 AI 模型,包括最新的 **qwen-turbo**,**qwen-plus** 和 **qwen-max** 等模型。[了解更多](https://help.aliyun.com/zh/dashscope/developer-reference/model-introduction) -同时,我们也在计划支持更多的模型服务商,如 Replicate 和 Perplexity 等,以进一步丰富我们的服务商库。如果你希望让 LobeChat 支持你喜爱的服务商,欢迎加入我们的[社区讨论](https://github.com/lobehub/lobe-chat/discussions/1284)。 +同时,我们也在计划支持更多的模型服务商,如 Replicate 和 Perplexity 等,以进一步丰富我们的服务商库。如果你希望让 Mr.🆖 AI 支持你喜爱的服务商,欢迎加入我们的[社区讨论](https://github.com/lobehub/lobe-chat/discussions/1284)。 ## 本地模型支持 @@ -58,7 +58,7 @@ tags: src={'https://github.com/lobehub/lobe-chat/assets/28616219/ca9a21bc-ea6c-4c90-bf4a-fa53b4fb2b5c'} /> -为了满足特定用户的需求,LobeChat 还基于 [Ollama](https://ollama.ai) 支持了本地模型的使用,让用户能够更灵活地使用自己的或第三方的模型,详见 [本地模型支持](/zh/docs/usage/features/local-llm)。 +为了满足特定用户的需求,Mr.🆖 AI 还基于 [Ollama](https://ollama.ai) 支持了本地模型的使用,让用户能够更灵活地使用自己的或第三方的模型,详见 [本地模型支持](/zh/docs/usage/features/local-llm)。 diff --git a/docs/usage/features/plugin-system.mdx b/docs/usage/features/plugin-system.mdx index 80165cf0bb69..e8fed5072095 100644 --- a/docs/usage/features/plugin-system.mdx +++ b/docs/usage/features/plugin-system.mdx @@ -1,11 +1,11 @@ --- -title: Plugin System in LobeChat +title: Plugin System in Mr.🆖 AI description: >- - Explore the diverse plugin ecosystem of LobeChat, extending its capabilities + Explore the diverse plugin ecosystem of Mr.🆖 AI, extending its capabilities to provide real-time information, interact with various platforms, and simplify user interactions. tags: - - LobeChat + - Mr.🆖 AI - Plugin Ecosystem - Assistant Functionality - Plugin Development @@ -24,11 +24,11 @@ tags: } /> -The plugin ecosystem of LobeChat is an important extension of its core functionality, greatly enhancing the practicality and flexibility of the LobeChat assistant. +The plugin ecosystem of Mr.🆖 AI is an important extension of its core functionality, greatly enhancing the practicality and flexibility of the Mr.🆖 AI assistant. -- [lobe-chat-plugins][lobe-chat-plugins]: This is the plugin index for LobeChat. It retrieves the list of plugins from the index.json of this repository and displays them to the users. +- [lobe-chat-plugins][lobe-chat-plugins]: This is the plugin index for Mr.🆖 AI. It retrieves the list of plugins from the index.json of this repository and displays them to the users. - [chat-plugin-template][chat-plugin-template]: Chat Plugin plugin development template, you can quickly create a new plugin project through the project template. -- [@lobehub/chat-plugin-sdk][chat-plugin-sdk]: The LobeChat plugin SDK can help you create excellent Lobe Chat plugins. -- [@lobehub/chat-plugins-gateway][chat-plugins-gateway]: The LobeChat plugin gateway is a backend service that serves as the gateway for LobeChat plugins. We deploy this service using Vercel. +- [@lobehub/chat-plugin-sdk][chat-plugin-sdk]: The Mr.🆖 AI plugin SDK can help you create excellent Lobe Chat plugins. +- [@lobehub/chat-plugins-gateway][chat-plugins-gateway]: The Mr.🆖 AI plugin gateway is a backend service that serves as the gateway for Mr.🆖 AI plugins. We deploy this service using Vercel. ### Roadmap Progress -The plugin system of LobeChat has now entered a stable stage, and we have basically completed most of the functionality required by the plugin system. However, we are still planning and considering the new possibilities that plugins can bring to us. You can learn more in the following Issues: +The plugin system of Mr.🆖 AI has now entered a stable stage, and we have basically completed most of the functionality required by the plugin system. However, we are still planning and considering the new possibilities that plugins can bring to us. You can learn more in the following Issues: ### ✅ Phase One of Plugins diff --git a/docs/usage/features/plugin-system.zh-CN.mdx b/docs/usage/features/plugin-system.zh-CN.mdx index 1313ab1ec65c..96d47576f972 100644 --- a/docs/usage/features/plugin-system.zh-CN.mdx +++ b/docs/usage/features/plugin-system.zh-CN.mdx @@ -1,8 +1,8 @@ --- -title: LobeChat 插件生态系统 - 功能扩展与开发资源 -description: 了解 LobeChat 插件生态系统如何增强 LobeChat 助手的实用性和灵活性,以及提供的开发资源和插件开发指南。 +title: Mr.🆖 AI 插件生态系统 - 功能扩展与开发资源 +description: 了解 Mr.🆖 AI 插件生态系统如何增强 Mr.🆖 AI 助手的实用性和灵活性,以及提供的开发资源和插件开发指南。 tags: - - LobeChat + - Mr.🆖 AI - 插件生态系统 - 开发资源 - 插件开发指南 @@ -19,11 +19,11 @@ tags: } /> -LobeChat 的插件生态系统是其核心功能的重要扩展,它极大地增强了 LobeChat 助手的实用性和灵活性。 +Mr.🆖 AI 的插件生态系统是其核心功能的重要扩展,它极大地增强了 Mr.🆖 AI 助手的实用性和灵活性。 - 默认安装的 LobeChat PWA 图标是黑色背景的,您可以在自行使用 cmd + i 粘贴如下图片替换为白色背景的。 + 默认安装的 Mr.🆖 AI PWA 图标是黑色背景的,您可以在自行使用 cmd + i 粘贴如下图片替换为白色背景的。 - Transform your ideas into images with the latest text-to-image generation - technology integrated into LobeChat AI Assistant. Experience a private and + technology integrated into Mr.🆖 AI AI Assistant. Experience a private and immersive creative process. tags: - Text to Image Generation - - LobeChat AI Assistant + - Mr.🆖 AI AI Assistant - DALL-E 3 - MidJourney - Pollinations @@ -23,4 +23,4 @@ tags: } /> -Supporting the latest text-to-image generation technology, LobeChat now enables users to directly utilize the Text to Image tool during conversations with the assistant. By harnessing the capabilities of AI tools such as [DALL-E 3](https://openai.com/dall-e-3), [MidJourney](https://www.midjourney.com/), and [Pollinations](https://pollinations.ai/), assistants can now transform your ideas into images. This allows for a more private and immersive creative process. +Supporting the latest text-to-image generation technology, Mr.🆖 AI now enables users to directly utilize the Text to Image tool during conversations with the assistant. By harnessing the capabilities of AI tools such as [DALL-E 3](https://openai.com/dall-e-3), [MidJourney](https://www.midjourney.com/), and [Pollinations](https://pollinations.ai/), assistants can now transform your ideas into images. This allows for a more private and immersive creative process. diff --git a/docs/usage/features/text-to-image.zh-CN.mdx b/docs/usage/features/text-to-image.zh-CN.mdx index c512847c0511..da0e7140b530 100644 --- a/docs/usage/features/text-to-image.zh-CN.mdx +++ b/docs/usage/features/text-to-image.zh-CN.mdx @@ -1,10 +1,10 @@ --- -title: LobeChat 文生图:文本转图片生成技术 +title: Mr.🆖 AI 文生图:文本转图片生成技术 description: >- - LobeChat 现在支持最新的文本到图片生成技术,让用户可以在与助手对话中直接调用文生图工具进行创作。利用 DALL-E 3、MidJourney 和 + Mr.🆖 AI 现在支持最新的文本到图片生成技术,让用户可以在与助手对话中直接调用文生图工具进行创作。利用 DALL-E 3、MidJourney 和 Pollinations 等 AI 工具,助手们可以将你的想法转化为图像,让创作过程更私密和沉浸式。 tags: - - LobeChat + - Mr.🆖 AI - 文生图 - DALL-E 3 - MidJourney @@ -23,4 +23,4 @@ tags: } /> -支持最新的文本到图片生成技术,LobeChat 现在能够让用户在与助手对话中直接调用文成图工具进行创作。通过利用 [`DALL-E 3`](https://openai.com/dall-e-3)、[`MidJourney`](https://www.midjourney.com/) 和 [`Pollinations`](https://pollinations.ai/) 等 AI 工具的能力, 助手们现在可以将你的想法转化为图像。同时可以更私密和沉浸式的完成你的创造过程。 +支持最新的文本到图片生成技术,Mr.🆖 AI 现在能够让用户在与助手对话中直接调用文成图工具进行创作。通过利用 [`DALL-E 3`](https://openai.com/dall-e-3)、[`MidJourney`](https://www.midjourney.com/) 和 [`Pollinations`](https://pollinations.ai/) 等 AI 工具的能力, 助手们现在可以将你的想法转化为图像。同时可以更私密和沉浸式的完成你的创造过程。 diff --git a/docs/usage/features/theme.mdx b/docs/usage/features/theme.mdx index 6172ff5659e8..8b20b3850f88 100644 --- a/docs/usage/features/theme.mdx +++ b/docs/usage/features/theme.mdx @@ -1,7 +1,7 @@ --- -title: LobeChat support Custom Themes +title: Mr.🆖 AI support Custom Themes description: >- - Explore LobeChat's flexible theme modes and color customization options for a + Explore Mr.🆖 AI's flexible theme modes and color customization options for a personalized interface design. Switch between light and dark modes, customize theme colors, and choose between conversation bubble and document modes. tags: @@ -10,7 +10,7 @@ tags: - Theme Modes - Color Customization - Interface Design - - LobeChat + - Mr.🆖 AI --- # Custom Themes @@ -22,13 +22,13 @@ tags: src={'https://github.com/lobehub/lobe-chat/assets/28616219/9eca103c-9335-4a4c-8192-271a0b857b26'} /> -LobeChat places a strong emphasis on personalized user experiences in its interface design, and thus introduces flexible and diverse theme modes, including a light mode for daytime and a dark mode for nighttime. +Mr.🆖 AI places a strong emphasis on personalized user experiences in its interface design, and thus introduces flexible and diverse theme modes, including a light mode for daytime and a dark mode for nighttime. -In addition to theme mode switching, we also provide a series of color customization options, allowing users to adjust the application's theme colors according to their preferences. Whether it's a stable deep blue, a lively peach pink, or a professional gray and white, users can find color choices in LobeChat that match their own style. +In addition to theme mode switching, we also provide a series of color customization options, allowing users to adjust the application's theme colors according to their preferences. Whether it's a stable deep blue, a lively peach pink, or a professional gray and white, users can find color choices in Mr.🆖 AI that match their own style. The default configuration can intelligently identify the user's system color mode and automatically switch themes to ensure a consistent visual experience with the operating system. -For users who prefer to manually adjust details, LobeChat also provides intuitive setting options and offers a choice between conversation bubble mode and document mode for chat scenes. +For users who prefer to manually adjust details, Mr.🆖 AI also provides intuitive setting options and offers a choice between conversation bubble mode and document mode for chat scenes. diff --git a/docs/usage/features/theme.zh-CN.mdx b/docs/usage/features/theme.zh-CN.mdx index 778cf2c2e191..68e7efe8d54e 100644 --- a/docs/usage/features/theme.zh-CN.mdx +++ b/docs/usage/features/theme.zh-CN.mdx @@ -1,8 +1,8 @@ --- -title: LobeChat 自定义主题 - 个性化体验 -description: 了解 LobeChat 的灵活多变主题模式,包括日间亮色模式和夜间深色模式,以及颜色定制选项,让用户根据喜好调整应用主题色彩。 +title: Mr.🆖 AI 自定义主题 - 个性化体验 +description: 了解 Mr.🆖 AI 的灵活多变主题模式,包括日间亮色模式和夜间深色模式,以及颜色定制选项,让用户根据喜好调整应用主题色彩。 tags: - - LobeChat + - Mr.🆖 AI - 自定义主题 - 主题模式 - 颜色定制 @@ -19,12 +19,12 @@ tags: src={'https://github.com/lobehub/lobe-chat/assets/28616219/9eca103c-9335-4a4c-8192-271a0b857b26'} /> -LobeChat 在界面设计上十分考虑用户的个性化体验,因此引入了灵活多变的主题模式,其中包括日间的亮色模式和夜间的深色模式。 +Mr.🆖 AI 在界面设计上十分考虑用户的个性化体验,因此引入了灵活多变的主题模式,其中包括日间的亮色模式和夜间的深色模式。 -除了主题模式的切换,我们还提供了一系列的颜色定制选项,允许用户根据自己的喜好来调整应用的主题色彩。无论是想要沉稳的深蓝,还是希望活泼的桃粉,或者是专业的灰白,用户都能够在 LobeChat 中找到匹配自己风格的颜色选择。 +除了主题模式的切换,我们还提供了一系列的颜色定制选项,允许用户根据自己的喜好来调整应用的主题色彩。无论是想要沉稳的深蓝,还是希望活泼的桃粉,或者是专业的灰白,用户都能够在 Mr.🆖 AI 中找到匹配自己风格的颜色选择。 默认配置能够智能地识别用户系统的颜色模式,自动进行主题切换,以确保应用界面与操作系统保持一致的视觉体验。 -对于喜欢手动调控细节的用户,LobeChat 同样提供了直观的设置选项,针对聊天场景也提供了对话气泡模式和文档模式的选择。 +对于喜欢手动调控细节的用户,Mr.🆖 AI 同样提供了直观的设置选项,针对聊天场景也提供了对话气泡模式和文档模式的选择。 diff --git a/docs/usage/features/tts.mdx b/docs/usage/features/tts.mdx index 755c784e41e3..720de187fd85 100644 --- a/docs/usage/features/tts.mdx +++ b/docs/usage/features/tts.mdx @@ -1,11 +1,11 @@ --- -title: LobeChat support Speech Synthesis and Recognition (TTS & STT) +title: Mr.🆖 AI support Speech Synthesis and Recognition (TTS & STT) description: >- Experience seamless Text-to-Speech (TTS) and Speech-to-Text (STT) technologies - in LobeChat. Choose from a variety of high-quality voices for personalized + in Mr.🆖 AI. Choose from a variety of high-quality voices for personalized communication. Learn more about Lobe TTS toolkit @lobehub/tts. tags: - - LobeChat + - Mr.🆖 AI - TTS - STT - Voice Conversation @@ -26,9 +26,9 @@ tags: } /> -LobeChat supports Text-to-Speech (TTS) and Speech-to-Text (STT) technologies. Our application can convert text information into clear voice output, allowing users to interact with our conversational agents as if they were talking to a real person. Users can choose from a variety of voices and pair the appropriate audio with the assistant. Additionally, for users who prefer auditory learning or need to obtain information while busy, TTS provides an excellent solution. +Mr.🆖 AI supports Text-to-Speech (TTS) and Speech-to-Text (STT) technologies. Our application can convert text information into clear voice output, allowing users to interact with our conversational agents as if they were talking to a real person. Users can choose from a variety of voices and pair the appropriate audio with the assistant. Additionally, for users who prefer auditory learning or need to obtain information while busy, TTS provides an excellent solution. -In LobeChat, we have carefully selected a series of high-quality voice options (OpenAI Audio, Microsoft Edge Speech) to meet the needs of users from different regions and cultural backgrounds. Users can choose suitable voices based on personal preferences or specific scenarios, thereby obtaining a personalized communication experience. +In Mr.🆖 AI, we have carefully selected a series of high-quality voice options (OpenAI Audio, Microsoft Edge Speech) to meet the needs of users from different regions and cultural backgrounds. Users can choose suitable voices based on personal preferences or specific scenarios, thereby obtaining a personalized communication experience. ## Lobe TTS @@ -44,7 +44,7 @@ In LobeChat, we have carefully selected a series of high-quality voice options ( - **Browser**: It provides high-quality React Hooks and visual audio components, supporting common functions such as loading, playing, pausing, and dragging the timeline, and offering extensive audio track style adjustment capabilities. - During the implementation of the TTS feature in LobeChat, we found that there was no good frontend + During the implementation of the TTS feature in Mr.🆖 AI, we found that there was no good frontend TTS library on the market, which resulted in a lot of effort being spent on implementation, including data conversion, audio progress management, and speech visualization. Adhering to the "Community First" concept, we have polished and open-sourced this implementation, hoping to help diff --git a/docs/usage/features/tts.zh-CN.mdx b/docs/usage/features/tts.zh-CN.mdx index 6b5a72d5179e..b57d0951367c 100644 --- a/docs/usage/features/tts.zh-CN.mdx +++ b/docs/usage/features/tts.zh-CN.mdx @@ -1,11 +1,11 @@ --- -title: LobeChat 支持 TTS & STT 语音会话 -description: LobeChat 支持文字转语音(TTS)和语音转文字(STT)技术,提供高品质声音选项,个性化交流体验。了解更多关于 Lobe TTS 工具包。 +title: Mr.🆖 AI 支持 TTS & STT 语音会话 +description: Mr.🆖 AI 支持文字转语音(TTS)和语音转文字(STT)技术,提供高品质声音选项,个性化交流体验。了解更多关于 Lobe TTS 工具包。 tags: - TTS - STT - 语音会话 - - LobeChat + - Mr.🆖 AI - Lobe TTS - 文字转语音 - 语音转文字 @@ -22,9 +22,9 @@ tags: } /> -LobeChat 支持文字转语音(Text-to-Speech,TTS)和语音转文字(Speech-to-Text,STT)技术,我们的应用能够将文本信息转化为清晰的语音输出,用户可以像与真人交谈一样与我们的对话代理进行交流。用户可以从多种声音中选择,给助手搭配合适的音源。 同时,对于那些倾向于听觉学习或者想要在忙碌中获取信息的用户来说,TTS 提供了一个极佳的解决方案。 +Mr.🆖 AI 支持文字转语音(Text-to-Speech,TTS)和语音转文字(Speech-to-Text,STT)技术,我们的应用能够将文本信息转化为清晰的语音输出,用户可以像与真人交谈一样与我们的对话代理进行交流。用户可以从多种声音中选择,给助手搭配合适的音源。 同时,对于那些倾向于听觉学习或者想要在忙碌中获取信息的用户来说,TTS 提供了一个极佳的解决方案。 -在 LobeChat 中,我们精心挑选了一系列高品质的声音选项 (OpenAI Audio, Microsoft Edge Speech),以满足不同地域和文化背景用户的需求。用户可以根据个人喜好或者特定场景来选择合适的语音,从而获得个性化的交流体验。 +在 Mr.🆖 AI 中,我们精心挑选了一系列高品质的声音选项 (OpenAI Audio, Microsoft Edge Speech),以满足不同地域和文化背景用户的需求。用户可以根据个人喜好或者特定场景来选择合适的语音,从而获得个性化的交流体验。 ## Lobe TTS @@ -40,7 +40,7 @@ LobeChat 支持文字转语音(Text-to-Speech,TTS)和语音转文字(Spe - **浏览器**:提供了高质量的 React Hooks 与可视化音频组件,支持加载、播放、暂停、拖动时间轴等常用功能,且提供了非常丰富的音轨样式调整能力。 - 我们在实现 LobeChat 的 TTS 功能过程中,发现市面上并没有一款很好的 TTS + 我们在实现 Mr.🆖 AI 的 TTS 功能过程中,发现市面上并没有一款很好的 TTS 前端库,导致在实现上耗费了很多精力,包括数据转换、音频进度管理、语音可视化等。秉承「 Community First 」 的理念,我们把这套实现打磨并开源了出来,希望能帮助到想要实现 TTS 的社区开发者们。 diff --git a/docs/usage/features/vision.mdx b/docs/usage/features/vision.mdx index bf14216087e9..bd7a11829d1e 100644 --- a/docs/usage/features/vision.mdx +++ b/docs/usage/features/vision.mdx @@ -1,11 +1,11 @@ --- -title: LobeChat support Vision Recognition +title: Mr.🆖 AI support Vision Recognition description: >- - Discover how LobeChat integrates visual recognition capabilities like OpenAI's + Discover how Mr.🆖 AI integrates visual recognition capabilities like OpenAI's gpt-4-vision and Google Gemini Pro vision for intelligent conversations based on uploaded images. tags: - - LobeChat + - Mr.🆖 AI - Model Vision Recognition - Multimodal Interaction - Visual Elements @@ -23,6 +23,6 @@ tags: } /> -LobeChat now supports large language models with visual recognition capabilities such as OpenAI's [`gpt-4-vision`](https://platform.openai.com/docs/guides/vision), Google Gemini Pro vision, and Zhipu GLM-4 Vision, enabling LobeChat to have multimodal interaction capabilities. Users can easily upload or drag and drop images into the chat box, and the assistant will be able to recognize the content of the images and engage in intelligent conversations based on them, creating more intelligent and diverse chat scenarios. +Mr.🆖 AI now supports large language models with visual recognition capabilities such as OpenAI's [`gpt-4-vision`](https://platform.openai.com/docs/guides/vision), Google Gemini Pro vision, and Zhipu GLM-4 Vision, enabling Mr.🆖 AI to have multimodal interaction capabilities. Users can easily upload or drag and drop images into the chat box, and the assistant will be able to recognize the content of the images and engage in intelligent conversations based on them, creating more intelligent and diverse chat scenarios. This feature opens up new ways of interaction, allowing communication to extend beyond text and encompass rich visual elements. Whether it's sharing images in daily use or interpreting images in specific industries, the assistant can provide an excellent conversational experience. diff --git a/docs/usage/features/vision.zh-CN.mdx b/docs/usage/features/vision.zh-CN.mdx index 1e2bf3b2ee4b..265666f8de2a 100644 --- a/docs/usage/features/vision.zh-CN.mdx +++ b/docs/usage/features/vision.zh-CN.mdx @@ -1,8 +1,8 @@ --- -title: LobeChat 支持多模态交互:视觉识别助力智能对话 -description: LobeChat 支持多种具有视觉识别能力的大语言模型,用户可上传或拖拽图片,助手将识别内容并展开智能对话,打造更智能、多元化的聊天场景。 +title: Mr.🆖 AI 支持多模态交互:视觉识别助力智能对话 +description: Mr.🆖 AI 支持多种具有视觉识别能力的大语言模型,用户可上传或拖拽图片,助手将识别内容并展开智能对话,打造更智能、多元化的聊天场景。 tags: - - LobeChat + - Mr.🆖 AI - 多模态交互 - 视觉识别 - 智能对话 @@ -20,6 +20,6 @@ tags: } /> -LobeChat 已经支持 OpenAI 的 [`gpt-4-vision`](https://platform.openai.com/docs/guides/vision) 、Google Gemini Pro vision、智谱 GLM-4 Vision 等具有视觉识别能力的大语言模型,这使得 LobeChat 具备了多模态交互的能力。用户可以轻松上传图片或者拖拽图片到对话框中,助手将能够识别图片内容,并在此基础上进行智能对话,构建更智能、更多元化的聊天场景。 +Mr.🆖 AI 已经支持 OpenAI 的 [`gpt-4-vision`](https://platform.openai.com/docs/guides/vision) 、Google Gemini Pro vision、智谱 GLM-4 Vision 等具有视觉识别能力的大语言模型,这使得 Mr.🆖 AI 具备了多模态交互的能力。用户可以轻松上传图片或者拖拽图片到对话框中,助手将能够识别图片内容,并在此基础上进行智能对话,构建更智能、更多元化的聊天场景。 这一特性打开了新的互动方式,使得交流不再局限于文字,而是可以涵盖丰富的视觉元素。无论是日常使用中的图片分享,还是在特定行业内的图像解读,助手都能提供出色的对话体验。 diff --git a/docs/usage/foundation/share.mdx b/docs/usage/foundation/share.mdx index 25b438fee589..ce9379adbe92 100644 --- a/docs/usage/foundation/share.mdx +++ b/docs/usage/foundation/share.mdx @@ -1,7 +1,7 @@ --- title: Share Conversation Records - Screenshot Sharing & ShareGPT description: >- - Learn how to share conversation records in LobeChat using Screenshot Sharing + Learn how to share conversation records in Mr.🆖 AI using Screenshot Sharing and ShareGPT methods. Capture conversation details in images or generate permanent links effortlessly. tags: @@ -20,7 +20,7 @@ tags: src={'https://github.com/user-attachments/assets/00acc7d6-dc66-4998-b1c6-15238be4c3c8'} /> -By clicking the `Share` button in the top right corner of the chat window, you can share the current conversation records with others. LobeChat supports two sharing methods: `Screenshot Sharing` and `ShareGPT Sharing`. +By clicking the `Share` button in the top right corner of the chat window, you can share the current conversation records with others. Mr.🆖 AI supports two sharing methods: `Screenshot Sharing` and `ShareGPT Sharing`. ## Screenshot Sharing @@ -33,7 +33,7 @@ The screenshot sharing feature will generate and save an image of the current co - Include Assistant Role Settings: Display the assistant's Prompt information in the screenshot. - Include Background Image: Add a gradient background to the generated image. -- Include Footer: Add LobeChat footer information to the generated image. +- Include Footer: Add Mr.🆖 AI footer information to the generated image. - Image Format: Choose the format for saving the image. ## ShareGPT @@ -43,4 +43,4 @@ The screenshot sharing feature will generate and save an image of the current co src={'https://github.com/user-attachments/assets/dea7c748-36e6-4f1b-aa21-acee2bf70d7d'} /> -[ShareGPT](https://sharegpt.com/) is an AI conversation sharing platform that allows users to easily share their conversations with Large Language Models (LLMs). Users can generate a permanent link with just one click, making it convenient to share these conversations with friends or others. By integrating ShareGPT functionality, LobeChat can generate links for conversation records with just one click, making sharing easy. +[ShareGPT](https://sharegpt.com/) is an AI conversation sharing platform that allows users to easily share their conversations with Large Language Models (LLMs). Users can generate a permanent link with just one click, making it convenient to share these conversations with friends or others. By integrating ShareGPT functionality, Mr.🆖 AI can generate links for conversation records with just one click, making sharing easy. diff --git a/docs/usage/foundation/share.zh-CN.mdx b/docs/usage/foundation/share.zh-CN.mdx index c8be6fa65f88..432eea8648d2 100644 --- a/docs/usage/foundation/share.zh-CN.mdx +++ b/docs/usage/foundation/share.zh-CN.mdx @@ -1,8 +1,8 @@ --- -title: 分享会话记录 - LobeChat 分享功能介绍 -description: 了解如何通过 LobeChat 的分享功能分享会话记录,包括截图分享和 ShareGPT 分享方式。通过分享功能,轻松与他人分享您的对话。 +title: 分享会话记录 - Mr.🆖 AI 分享功能介绍 +description: 了解如何通过 Mr.🆖 AI 的分享功能分享会话记录,包括截图分享和 ShareGPT 分享方式。通过分享功能,轻松与他人分享您的对话。 tags: - - LobeChat + - Mr.🆖 AI - 分享会话记录 - 截图分享 - ShareGPT @@ -17,7 +17,7 @@ tags: src={'https://github.com/user-attachments/assets/00acc7d6-dc66-4998-b1c6-15238be4c3c8'} /> -通过会话窗口右上角的`分享`按钮,您可以将当前会话记录分享给其他人。LobeChat 支持两种分享方式:`截图分享`和 `ShareGPT 分享`。 +通过会话窗口右上角的`分享`按钮,您可以将当前会话记录分享给其他人。Mr.🆖 AI 支持两种分享方式:`截图分享`和 `ShareGPT 分享`。 ## 截图分享 @@ -30,7 +30,7 @@ tags: - 包含助手角色设置:在截图中显示助手的 Prompt 信息。 - 包含背景图:在生成的图片中添加渐变背景。 -- 包含页脚:在生成的图片中添加 LobeChat 页脚信息。 +- 包含页脚:在生成的图片中添加 Mr.🆖 AI 页脚信息。 - 图片格式:选择保存图片的格式。 ## ShareGPT @@ -40,4 +40,4 @@ tags: src={'https://github.com/user-attachments/assets/dea7c748-36e6-4f1b-aa21-acee2bf70d7d'} /> -[ShareGPT](https://sharegpt.com/) 是一个 AI 对话分享平台,允许用户便捷地分享他们与大型语言模型 (LLM) 的对话。用户只需点击即可生成永久链接,方便与朋友或其他人分享这些对话。LobeChat 通过集成 ShareGPT 功能,可以一键将对话记录生成链接,方便分享。 +[ShareGPT](https://sharegpt.com/) 是一个 AI 对话分享平台,允许用户便捷地分享他们与大型语言模型 (LLM) 的对话。用户只需点击即可生成永久链接,方便与朋友或其他人分享这些对话。Mr.🆖 AI 通过集成 ShareGPT 功能,可以一键将对话记录生成链接,方便分享。 diff --git a/docs/usage/foundation/text2image.mdx b/docs/usage/foundation/text2image.mdx index 767ba327a0d8..9e8dd595bbd9 100644 --- a/docs/usage/foundation/text2image.mdx +++ b/docs/usage/foundation/text2image.mdx @@ -1,20 +1,20 @@ --- -title: Guide to Using Text-to-Image Models in LobeChat +title: Guide to Using Text-to-Image Models in Mr.🆖 AI description: >- - Learn how to utilize text-to-image generation in LobeChat using DALL-E and + Learn how to utilize text-to-image generation in Mr.🆖 AI using DALL-E and Midjourney plugins. Generate images seamlessly with AI assistance. tags: - Text-to-Image Models - - LobeChat + - Mr.🆖 AI - DALL-E - Midjourney - Plugin Installation - AI Assistance --- -# Guide to Using Text-to-Image Models in LobeChat +# Guide to Using Text-to-Image Models in Mr.🆖 AI -LobeChat supports text-to-image generation through a plugin mechanism. Currently, LobeChat comes with the built-in DALL-E plugin, which allows users to generate images using OpenAI's DALL-E model. Additionally, users can also install the official Midjourney plugin to utilize the Midjourney text-to-image feature. +Mr.🆖 AI supports text-to-image generation through a plugin mechanism. Currently, Mr.🆖 AI comes with the built-in DALL-E plugin, which allows users to generate images using OpenAI's DALL-E model. Additionally, users can also install the official Midjourney plugin to utilize the Midjourney text-to-image feature. ## DALL-E Model @@ -29,7 +29,7 @@ If the DALL-E plugin is not available, please check if the OpenAI API key has be ## Midjourney Model -LobeChat also offers the Midjourney plugin, which generates images by calling the Midjourney API. Please install the Midjourney plugin in the plugin store beforehand. +Mr.🆖 AI also offers the Midjourney plugin, which generates images by calling the Midjourney API. Please install the Midjourney plugin in the plugin store beforehand. {'Midjourney- - Learn how to translate conversation content in LobeChat with just one click. + Learn how to translate conversation content in Mr.🆖 AI with just one click. Customize translation models for accurate results. tags: - Translation @@ -19,7 +19,7 @@ tags: ## Translating Conversation Content -LobeChat supports users to translate conversation content into a specified language with just one click. After selecting the target language, LobeChat will use a pre-set AI model for translation and display the translated results in real-time in the chat window. +Mr.🆖 AI supports users to translate conversation content into a specified language with just one click. After selecting the target language, Mr.🆖 AI will use a pre-set AI model for translation and display the translated results in real-time in the chat window. {'Displaying- - Learn how to use LobeChat's text-to-speech (TTS) feature for voice input and + Learn how to use Mr.🆖 AI's text-to-speech (TTS) feature for voice input and output. Explore speech-to-text (STT) functionality and customize TTS settings. tags: - Text-to-Speech @@ -13,7 +13,7 @@ tags: # Guide to Text-to-Speech Conversion -LobeChat supports text-to-speech conversion, allowing users to input content through voice and have the AI output read aloud through speech. +Mr.🆖 AI supports text-to-speech conversion, allowing users to input content through voice and have the AI output read aloud through speech. ## Text-to-Speech (TTS) @@ -26,7 +26,7 @@ Select any content in the chat window, choose `Text-to-Speech`, and the AI will ## Speech-to-Text (STT) -Select the voice input feature in the input window, and LobeChat will convert your speech to text and input it into the text box. After completing the input, you can send it directly to the AI. +Select the voice input feature in the input window, and Mr.🆖 AI will convert your speech to text and input it into the text box. After completing the input, you can send it directly to the AI. {'STT'}- - Explore how LobeChat integrates visual recognition capabilities into large + Explore how Mr.🆖 AI integrates visual recognition capabilities into large language models, enabling multimodal interactions for enhanced user experiences. tags: - Visual Recognition - Multimodal Interaction - Large Language Models - - LobeChat + - Mr.🆖 AI - Custom Model Configuration --- # Visual Model User Guide -The ecosystem of large language models that support visual recognition is becoming increasingly rich. Starting from `gpt-4-vision`, LobeChat now supports various large language models with visual recognition capabilities, enabling LobeChat to have multimodal interaction capabilities. +The ecosystem of large language models that support visual recognition is becoming increasingly rich. Starting from `gpt-4-vision`, Mr.🆖 AI now supports various large language models with visual recognition capabilities, enabling Mr.🆖 AI to have multimodal interaction capabilities. -### Step 3: Configure Amazon Bedrock in LobeChat +### Step 3: Configure Amazon Bedrock in Mr.🆖 AI -- Access the `Settings` interface in LobeChat +- Access the `Settings` interface in Mr.🆖 AI - Find the setting for `Amazon Bedrock` under `Language Models` and open it {'Enter @@ -136,4 +136,4 @@ This document will guide you on how to use Amazon Bedrock in LobeChat: -You can now engage in conversations using the models provided by Amazon Bedrock in LobeChat. +You can now engage in conversations using the models provided by Amazon Bedrock in Mr.🆖 AI. diff --git a/docs/usage/providers/bedrock.zh-CN.mdx b/docs/usage/providers/bedrock.zh-CN.mdx index ef70dc3b60e3..a3d36d7d1cec 100644 --- a/docs/usage/providers/bedrock.zh-CN.mdx +++ b/docs/usage/providers/bedrock.zh-CN.mdx @@ -1,6 +1,6 @@ --- -title: 在 LobeChat 中使用 Amazon Bedrock API Key -description: 学习如何在 LobeChat 中配置和使用 Amazon Bedrock,一个完全托管的基础模型API服务,以便开始对话。 +title: 在 Mr.🆖 AI 中使用 Amazon Bedrock API Key +description: 学习如何在 Mr.🆖 AI 中配置和使用 Amazon Bedrock,一个完全托管的基础模型API服务,以便开始对话。 tags: - Amazon Bedrock - Claude 3.5 sonnect @@ -9,17 +9,17 @@ tags: - Web UI --- -# 在 LobeChat 中使用 Amazon Bedrock +# 在 Mr.🆖 AI 中使用 Amazon Bedrock {'在 Amazon Bedrock 是一个完全托管的基础模型API服务,允许用户通过API访问来自领先AI公司(如AI21 Labs、Anthropic、Cohere、Meta、Stability AI)和Amazon自家的基础模型。 -本文档将指导你如何在 LobeChat 中使用 Amazon Bedrock: +本文档将指导你如何在 Mr.🆖 AI 中使用 Amazon Bedrock: ### 步骤一:在 AWS 中打开 Amazon Bedrock 模型的访问权限 @@ -105,13 +105,13 @@ Amazon Bedrock 是一个完全托管的基础模型API服务,允许用户通过A 请安全地存储密钥,因为它只会出现一次。如果您意外丢失它,您将需要创建一个新访问密钥。 -### 步骤三:在 LobeChat 中配置 Amazon Bedrock +### 步骤三:在 Mr.🆖 AI 中配置 Amazon Bedrock -- 访问LobeChat的`设置`界面 +- 访问Mr.🆖 AI的`设置`界面 - 在`语言模型`下找到`Amazon Bedrock`的设置项并打开 {'LobeChat @@ -131,4 +131,4 @@ Amazon Bedrock 是一个完全托管的基础模型API服务,允许用户通过A -至此你已经可以在 LobeChat 中使用 Amazone Bedrock 提供的模型进行对话了。 +至此你已经可以在 Mr.🆖 AI 中使用 Amazone Bedrock 提供的模型进行对话了。 diff --git a/docs/usage/providers/cloudflare.mdx b/docs/usage/providers/cloudflare.mdx index a718ccc58c4e..74183884fe3c 100644 --- a/docs/usage/providers/cloudflare.mdx +++ b/docs/usage/providers/cloudflare.mdx @@ -1,8 +1,8 @@ --- -title: Using Cloudflare Workers AI in LobeChat -description: Learn how to integrate and utilize Cloudflare Workers AI Models in LobeChat. +title: Using Cloudflare Workers AI in Mr.🆖 AI +description: Learn how to integrate and utilize Cloudflare Workers AI Models in Mr.🆖 AI. tags: - - LobeChat + - Mr.🆖 AI - Cloudflare - Workers AI - Provider @@ -10,7 +10,7 @@ tags: - Web UI --- -# Using Cloudflare Workers AI in LobeChat +# Using Cloudflare Workers AI in Mr.🆖 AI @@ -51,9 +51,9 @@ This document will guide you on how to use Cloudflare Workers AI in LobeChat: -### Step 2: Configure Cloudflare Workers AI in LobeChat +### Step 2: Configure Cloudflare Workers AI in Mr.🆖 AI -- Go to the `Settings` interface in LobeChat. +- Go to the `Settings` interface in Mr.🆖 AI. - Under `Language Model`, find the `Cloudflare` settings. -At this point, you can start conversing with the model provided by Cloudflare Workers AI in LobeChat. +At this point, you can start conversing with the model provided by Cloudflare Workers AI in Mr.🆖 AI. diff --git a/docs/usage/providers/cloudflare.zh-CN.mdx b/docs/usage/providers/cloudflare.zh-CN.mdx index 8d8c6467e3d8..a5946717108e 100644 --- a/docs/usage/providers/cloudflare.zh-CN.mdx +++ b/docs/usage/providers/cloudflare.zh-CN.mdx @@ -1,8 +1,8 @@ --- -title: 在 LobeChat 中使用 Cloudflare Workers AI -description: 学习如何在 LobeChat 中配置和使用 Cloudflare Workers AI 的 API Key,以便开始对话和交互。 +title: 在 Mr.🆖 AI 中使用 Cloudflare Workers AI +description: 学习如何在 Mr.🆖 AI 中配置和使用 Cloudflare Workers AI 的 API Key,以便开始对话和交互。 tags: - - LobeChat + - Mr.🆖 AI - Cloudflare - Workers AI - 供应商 @@ -10,7 +10,7 @@ tags: - Web UI --- -# 在 LobeChat 中使用 Cloudflare Workers AI +# 在 Mr.🆖 AI 中使用 Cloudflare Workers AI @@ -49,9 +49,9 @@ tags: - 请安全地存储 API 令牌,因为它只会出现一次。如果您意外丢失它,您将需要创建一个新令牌。 -### 步骤二: 在 LobeChat 中配置 Cloudflare Workers AI +### 步骤二: 在 Mr.🆖 AI 中配置 Cloudflare Workers AI -- 访问 LobeChat 的`设置`界面 +- 访问 Mr.🆖 AI 的`设置`界面 - 在`语言模型`下找到 `Cloudflare` 的设置项 -至此你已经可以在 LobeChat 中使用 Cloudflare Workers AI 提供的模型进行对话了。 +至此你已经可以在 Mr.🆖 AI 中使用 Cloudflare Workers AI 提供的模型进行对话了。 diff --git a/docs/usage/providers/deepseek.mdx b/docs/usage/providers/deepseek.mdx index fb5c77c42e45..bf7299ceb4d1 100644 --- a/docs/usage/providers/deepseek.mdx +++ b/docs/usage/providers/deepseek.mdx @@ -1,27 +1,27 @@ --- -title: Using DeepSeek API Key in LobeChat +title: Using DeepSeek API Key in Mr.🆖 AI description: >- - Learn how to use DeepSeek-V2 in LobeChat, obtain API keys. Get started with + Learn how to use DeepSeek-V2 in Mr.🆖 AI, obtain API keys. Get started with DeepSeek integration now! tags: - DeepSeek - - LobeChat + - Mr.🆖 AI - DeepSeek-V2 - API Key - Web UI --- -# Using DeepSeek in LobeChat +# Using DeepSeek in Mr.🆖 AI {'Using [DeepSeek](https://www.deepseek.com/) is an advanced open-source Large Language Model (LLM). The latest version, DeepSeek-V2, has made significant optimizations in architecture and performance, reducing training costs by 42.5% and inference costs by 93.3%. -This document will guide you on how to use DeepSeek in LobeChat: +This document will guide you on how to use DeepSeek in Mr.🆖 AI: @@ -60,9 +60,9 @@ This document will guide you on how to use DeepSeek in LobeChat: need to create a new key. -### Step 2: Configure DeepSeek in LobeChat +### Step 2: Configure DeepSeek in Mr.🆖 AI -- Access the `App Settings` interface in LobeChat. +- Access the `App Settings` interface in Mr.🆖 AI. - Find the setting for `DeepSeek` under `Language Models`. -You can now engage in conversations using the models provided by Deepseek in LobeChat. +You can now engage in conversations using the models provided by Deepseek in Mr.🆖 AI. diff --git a/docs/usage/providers/deepseek.zh-CN.mdx b/docs/usage/providers/deepseek.zh-CN.mdx index 7cbb4a016809..af0276b921ca 100644 --- a/docs/usage/providers/deepseek.zh-CN.mdx +++ b/docs/usage/providers/deepseek.zh-CN.mdx @@ -1,24 +1,24 @@ --- -title: 在 LobeChat 中使用 DeepSeek API Key -description: 学习如何在 LobeChat 中配置和使用 DeepSeek 语言模型,获取 API 密钥并开始对话。 +title: 在 Mr.🆖 AI 中使用 DeepSeek API Key +description: 学习如何在 Mr.🆖 AI 中配置和使用 DeepSeek 语言模型,获取 API 密钥并开始对话。 tags: - - LobeChat + - Mr.🆖 AI - DeepSeek - API密钥 - Web UI --- -# 在 LobeChat 中使用 DeepSeek +# 在 Mr.🆖 AI 中使用 DeepSeek {'在 [DeepSeek](https://www.deepseek.com/) 是一款先进的开源大型语言模型(LLM)。最新版本 DeepSeek-V2 在架构和性能上进行了显著优化,同时训练成本降低了42.5%,推理成本降低了93.3%。 -本文档将指导你如何在 LobeChat 中使用 DeepSeek: +本文档将指导你如何在 Mr.🆖 AI 中使用 DeepSeek: @@ -56,9 +56,9 @@ tags: 请安全地存储密钥,因为它只会出现一次。如果你意外丢失它,您将需要创建一个新密钥。 -### 步骤二:在 LobeChat 中配置 DeepSeek +### 步骤二:在 Mr.🆖 AI 中配置 DeepSeek -- 访问 LobeChat 的 `应用设置`界面 +- 访问 Mr.🆖 AI 的 `应用设置`界面 - 在 `语言模型` 下找到 `DeepSeek` 的设置项 -至此你已经可以在 LobeChat 中使用 Deepseek 提供的模型进行对话了。 +至此你已经可以在 Mr.🆖 AI 中使用 Deepseek 提供的模型进行对话了。 diff --git a/docs/usage/providers/fireworksai.mdx b/docs/usage/providers/fireworksai.mdx index 64e93632897a..e315d11b23a7 100644 --- a/docs/usage/providers/fireworksai.mdx +++ b/docs/usage/providers/fireworksai.mdx @@ -1,16 +1,16 @@ --- -title: Using Fireworks AI in LobeChat +title: Using Fireworks AI in Mr.🆖 AI description: >- Learn how to integrate and utilize Fireworks AI's language model APIs in - LobeChat. + Mr.🆖 AI. tags: - - LobeChat + - Mr.🆖 AI - Fireworks AI - API Key - Web UI --- -# Using Fireworks AI in LobeChat +# Using Fireworks AI in Mr.🆖 AI ### Step 1: Obtain an API Key for Fireworks AI @@ -47,9 +47,9 @@ This article will guide you on how to use Fireworks AI in LobeChat. need to create a new key. -### Step 2: Configure Fireworks AI in LobeChat +### Step 2: Configure Fireworks AI in Mr.🆖 AI -- Access the `Settings` interface in LobeChat +- Access the `Settings` interface in Mr.🆖 AI - Under `Language Model`, locate the settings for `Fireworks AI` -You are now ready to use the models provided by Fireworks AI for conversations in LobeChat. +You are now ready to use the models provided by Fireworks AI for conversations in Mr.🆖 AI. diff --git a/docs/usage/providers/fireworksai.zh-CN.mdx b/docs/usage/providers/fireworksai.zh-CN.mdx index 8fab3414de87..1ab4ef0303a3 100644 --- a/docs/usage/providers/fireworksai.zh-CN.mdx +++ b/docs/usage/providers/fireworksai.zh-CN.mdx @@ -1,14 +1,14 @@ --- -title: 在 LobeChat 中使用 Fireworks AI -description: 学习如何在 LobeChat 中配置和使用 Fireworks AI 的API Key,以便开始对话和交互。 +title: 在 Mr.🆖 AI 中使用 Fireworks AI +description: 学习如何在 Mr.🆖 AI 中配置和使用 Fireworks AI 的API Key,以便开始对话和交互。 tags: - - LobeChat + - Mr.🆖 AI - Fireworks AI - API密钥 - Web UI --- -# 在 LobeChat 中使用 Fireworks AI +# 在 Mr.🆖 AI 中使用 Fireworks AI ### 步骤一:获得 Fireworks AI 的 API Key @@ -44,9 +44,9 @@ tags: 请安全地存储密钥,因为它只会出现一次。如果您意外丢失它,您将需要创建一个新密钥。 -### 步骤二:在 LobeChat 中配置 Fireworks AI +### 步骤二:在 Mr.🆖 AI 中配置 Fireworks AI -- 访问 LobeChat 的`设置`界面 +- 访问 Mr.🆖 AI 的`设置`界面 - 在`语言模型`下找到 `Fireworks AI` 的设置项 -至此你已经可以在 LobeChat 中使用 Fireworks AI 提供的模型进行对话了。 +至此你已经可以在 Mr.🆖 AI 中使用 Fireworks AI 提供的模型进行对话了。 diff --git a/docs/usage/providers/gemini.mdx b/docs/usage/providers/gemini.mdx index 74929374d952..3e1b599ee89e 100644 --- a/docs/usage/providers/gemini.mdx +++ b/docs/usage/providers/gemini.mdx @@ -1,7 +1,7 @@ --- -title: Using Google Gemini API Key in LobeChat +title: Using Google Gemini API Key in Mr.🆖 AI description: >- - Learn how to integrate and utilize Google Gemini AI in LobeChat to enhance + Learn how to integrate and utilize Google Gemini AI in Mr.🆖 AI to enhance your conversational experience. Follow these steps to configure Google Gemini and start leveraging its powerful capabilities. tags: @@ -11,17 +11,17 @@ tags: - Web UI --- -# Using Google Gemini in LobeChat +# Using Google Gemini in Mr.🆖 AI {'Using Gemini AI is a set of large language models (LLMs) created by Google AI, known for its cutting-edge advancements in multimodal understanding and processing. It is essentially a powerful artificial intelligence tool capable of handling various tasks involving different types of data, not just text. -This document will guide you on how to use Google Gemini in LobeChat: +This document will guide you on how to use Google Gemini in Mr.🆖 AI: @@ -52,13 +52,13 @@ This document will guide you on how to use Google Gemini in LobeChat: src={'https://github.com/lobehub/lobe-chat/assets/34400653/28d89add-cb18-4b86-9807-f2a5ed65ceba'} /> -### Step 2: Configure OpenAI in LobeChat +### Step 2: Configure OpenAI in Mr.🆖 AI -- Go to the `Settings` interface in LobeChat +- Go to the `Settings` interface in Mr.🆖 AI - Find the setting for `Google Gemini` under `Language Models` {'Enter @@ -79,4 +79,4 @@ This document will guide you on how to use Google Gemini in LobeChat: -Congratulations! You can now use Google Gemini in LobeChat. +Congratulations! You can now use Google Gemini in Mr.🆖 AI. diff --git a/docs/usage/providers/gemini.zh-CN.mdx b/docs/usage/providers/gemini.zh-CN.mdx index de796fc72209..4d3d38055635 100644 --- a/docs/usage/providers/gemini.zh-CN.mdx +++ b/docs/usage/providers/gemini.zh-CN.mdx @@ -1,6 +1,6 @@ --- -title: 在 LobeChat 中使用 Google Gemini API Key -description: 本文将指导你如何在 LobeChat 中配置并使用 Google Gemini,一个由 Google AI 创建的强大语言模型。 +title: 在 Mr.🆖 AI 中使用 Google Gemini API Key +description: 本文将指导你如何在 Mr.🆖 AI 中配置并使用 Google Gemini,一个由 Google AI 创建的强大语言模型。 tags: - Google Gemini - Google AI @@ -8,17 +8,17 @@ tags: - Web UI --- -# 在 LobeChat 中使用 Google Gemini +# 在 Mr.🆖 AI 中使用 Google Gemini {'在 Gemini AI是由 Google AI 创建的一组大型语言模型(LLM),以其在多模式理解和处理方面的尖端进步而闻名。它本质上是一个强大的人工智能工具,可以处理涉及不同类型数据的各种任务,而不仅仅是文本。 -本文档将指导你如何在 LobeChat 中使用 Google Gemini: +本文档将指导你如何在 Mr.🆖 AI 中使用 Google Gemini: @@ -49,13 +49,13 @@ Gemini AI是由 Google AI 创建的一组大型语言模型(LLM),以其在 src={'https://github.com/lobehub/lobe-chat/assets/34400653/28d89add-cb18-4b86-9807-f2a5ed65ceba'} /> -### 步骤二:在 LobeChat 中配置OpenAI +### 步骤二:在 Mr.🆖 AI 中配置OpenAI -- 访问LobeChat的`设置`界面 +- 访问Mr.🆖 AI的`设置`界面 - 在`语言模型`下找到`Google Gemini`的设置项 {'LobeChat @@ -75,4 +75,4 @@ Gemini AI是由 Google AI 创建的一组大型语言模型(LLM),以其在 -至此,你已经可以在 LobeChat 中使用 Google Gemini 啦。 +至此,你已经可以在 Mr.🆖 AI 中使用 Google Gemini 啦。 diff --git a/docs/usage/providers/giteeai.mdx b/docs/usage/providers/giteeai.mdx index 2379b4e97443..a71484c56a2a 100644 --- a/docs/usage/providers/giteeai.mdx +++ b/docs/usage/providers/giteeai.mdx @@ -1,16 +1,16 @@ --- -title: Using Gitee AI in LobeChat +title: Using Gitee AI in Mr.🆖 AI description: >- - Learn how to configure and use Gitee AI's API Key in LobeChat to start + Learn how to configure and use Gitee AI's API Key in Mr.🆖 AI to start conversations and interactions. tags: - - LobeChat + - Mr.🆖 AI - Gitee AI - API Key - Web UI --- -# Using Gitee AI in LobeChat +# Using Gitee AI in Mr.🆖 AI @@ -49,9 +49,9 @@ This article will guide you on how to use Gitee AI in LobeChat. will need to create a new one. -### Step 2: Configure Gitee AI in LobeChat +### Step 2: Configure Gitee AI in Mr.🆖 AI -- Access the `Settings` page in LobeChat +- Access the `Settings` page in Mr.🆖 AI - Under `Language Models`, find the settings for `Gitee AI` -Now you can start having conversations using the models provided by Gitee AI in LobeChat! +Now you can start having conversations using the models provided by Gitee AI in Mr.🆖 AI! diff --git a/docs/usage/providers/giteeai.zh-CN.mdx b/docs/usage/providers/giteeai.zh-CN.mdx index 6008bb2bde7d..f495ca77adc1 100644 --- a/docs/usage/providers/giteeai.zh-CN.mdx +++ b/docs/usage/providers/giteeai.zh-CN.mdx @@ -1,14 +1,14 @@ --- -title: 在 LobeChat 中使用 Gitee AI -description: 学习如何在 LobeChat 中配置和使用 Gitee AI 的 API Key,以便开始对话和交互。 +title: 在 Mr.🆖 AI 中使用 Gitee AI +description: 学习如何在 Mr.🆖 AI 中配置和使用 Gitee AI 的 API Key,以便开始对话和交互。 tags: - - LobeChat + - Mr.🆖 AI - Gitee AI - API密钥 - Web UI --- -# 在 LobeChat 中使用 Gitee AI +# 在 Mr.🆖 AI 中使用 Gitee AI @@ -46,9 +46,9 @@ tags: 妥善保存弹窗中的访问令牌,它只会出现一次,如果不小心丢失了,你需要重新创建一个访问令牌。 -### 步骤二:在 LobeChat 中配置 Gitee AI +### 步骤二:在 Mr.🆖 AI 中配置 Gitee AI -- 访问 LobeChat 的`设置`界面 +- 访问 Mr.🆖 AI 的`设置`界面 - 在`语言模型`下找到 `Gitee AI` 的设置项 -至此你已经可以在 LobeChat 中使用 Gitee AI 提供的模型进行对话了。 +至此你已经可以在 Mr.🆖 AI 中使用 Gitee AI 提供的模型进行对话了。 diff --git a/docs/usage/providers/github.mdx b/docs/usage/providers/github.mdx index 644a01044ceb..c55421a975e8 100644 --- a/docs/usage/providers/github.mdx +++ b/docs/usage/providers/github.mdx @@ -1,15 +1,15 @@ --- -title: Using GitHub Models in LobeChat -description: Learn how to integrate and utilize GitHub Models in LobeChat. +title: Using GitHub Models in Mr.🆖 AI +description: Learn how to integrate and utilize GitHub Models in Mr.🆖 AI. tags: - - LobeChat + - Mr.🆖 AI - GitHub - GitHub Models - API Key - Web UI --- -# Using GitHub Models in LobeChat +# Using GitHub Models in Mr.🆖 AI -### Step 2: Configure GitHub Models in LobeChat +### Step 2: Configure GitHub Models in Mr.🆖 AI -- Navigate to the `Settings` interface in LobeChat. +- Navigate to the `Settings` interface in Mr.🆖 AI. - Under `Language Models`, find the GitHub settings. -You are now ready to use the models provided by GitHub for conversations within LobeChat. +You are now ready to use the models provided by GitHub for conversations within Mr.🆖 AI. diff --git a/docs/usage/providers/github.zh-CN.mdx b/docs/usage/providers/github.zh-CN.mdx index 9258d8a2c22b..1ad2844e5ca5 100644 --- a/docs/usage/providers/github.zh-CN.mdx +++ b/docs/usage/providers/github.zh-CN.mdx @@ -1,15 +1,15 @@ --- -title: 在 LobeChat 中使用 GitHub Models -description: 学习如何在 LobeChat 中配置和使用 GitHub 的 API Key,以便开始对话和交互。 +title: 在 Mr.🆖 AI 中使用 GitHub Models +description: 学习如何在 Mr.🆖 AI 中配置和使用 GitHub 的 API Key,以便开始对话和交互。 tags: - - LobeChat + - Mr.🆖 AI - GitHub - GitHub Models - API密钥 - Web UI --- -# 在 LobeChat 中使用 GitHub Models +# 在 Mr.🆖 AI 中使用 GitHub Models -### 步骤二:在 LobeChat 中配置 GitHub Models +### 步骤二:在 Mr.🆖 AI 中配置 GitHub Models -- 访问 LobeChat 的`设置`界面 +- 访问 Mr.🆖 AI 的`设置`界面 - 在`语言模型`下找到 `GitHub` 的设置项 -至此你已经可以在 LobeChat 中使用 GitHub 提供的模型进行对话了。 +至此你已经可以在 Mr.🆖 AI 中使用 GitHub 提供的模型进行对话了。 diff --git a/docs/usage/providers/groq.mdx b/docs/usage/providers/groq.mdx index 7bf7e75d103c..3511a18aa8df 100644 --- a/docs/usage/providers/groq.mdx +++ b/docs/usage/providers/groq.mdx @@ -1,7 +1,7 @@ --- -title: Using Groq API Key in LobeChat +title: Using Groq API Key in Mr.🆖 AI description: >- - Learn how to obtain GroqCloud API keys and configure Groq in LobeChat for + Learn how to obtain GroqCloud API keys and configure Groq in Mr.🆖 AI for optimal performance. tags: - LPU Inference Engine @@ -12,15 +12,15 @@ tags: - Web UI --- -# Using Groq in LobeChat +# Using Groq in Mr.🆖 AI {'Using -Groq's [LPU Inference Engine](https://wow.groq.com/news_press/groq-lpu-inference-engine-leads-in-first-independent-llm-benchmark/) has excelled in the latest independent Large Language Model (LLM) benchmark, redefining the standard for AI solutions with its remarkable speed and efficiency. By integrating LobeChat with Groq Cloud, you can now easily leverage Groq's technology to accelerate the operation of large language models in LobeChat. +Groq's [LPU Inference Engine](https://wow.groq.com/news_press/groq-lpu-inference-engine-leads-in-first-independent-llm-benchmark/) has excelled in the latest independent Large Language Model (LLM) benchmark, redefining the standard for AI solutions with its remarkable speed and efficiency. By integrating Mr.🆖 AI with Groq Cloud, you can now easily leverage Groq's technology to accelerate the operation of large language models in Mr.🆖 AI. Groq's LPU Inference Engine achieved a sustained speed of 300 tokens per second in internal @@ -29,7 +29,7 @@ Groq's [LPU Inference Engine](https://wow.groq.com/news_press/groq-lpu-inference output tokens (0.8 seconds). -This document will guide you on how to use Groq in LobeChat: +This document will guide you on how to use Groq in Mr.🆖 AI: ### Obtaining GroqCloud API Keys @@ -57,14 +57,14 @@ Create an API Key in the `API Keys` menu of the console. will need to create a new key. -### Configure Groq in LobeChat +### Configure Groq in Mr.🆖 AI You can find the Groq configuration option in `Settings` -> `Language Model`, where you can input the API Key you just obtained. {'Groq -Next, select a Groq-supported model in the assistant's model options, and you can experience the powerful performance of Groq in LobeChat. +Next, select a Groq-supported model in the assistant's model options, and you can experience the powerful performance of Groq in Mr.🆖 AI.