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https://github.com/langbot-app/LangBot.git
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docs: add langflow stuff (#58)
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@@ -139,6 +139,7 @@ export default defineConfig({
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items: [
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{ text: "Dify", link: "/zh/deploy/pipelines/dify" },
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{ text: "n8n", link: "/zh/deploy/pipelines/n8n" },
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{ text: "Langflow", link: "/zh/deploy/pipelines/langflow" },
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],
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},
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{
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@@ -356,6 +357,7 @@ export default defineConfig({
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items: [
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{ text: "Dify", link: "/en/deploy/pipelines/dify" },
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{ text: "n8n", link: "/en/deploy/pipelines/n8n" },
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{ text: "Langflow", link: "/en/deploy/pipelines/langflow" },
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],
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},
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{
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# Using Langflow with LangBot
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[Langflow](https://langflow.com/) is an open-source project for building and deploying AI-based Agents and Workflows. It supports local and cloud deployment, and provides APIs for other applications to integrate.
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LangBot currently supports using Langflow as the runner.
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## Creating a Workflow in Langflow
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Please follow the [Langflow documentation](https://langflow.com/docs/introduction) to deploy Langflow instance.
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As an example of the default template's Simple Agent:
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You can modify the workflow according to your needs:
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## Configuring LangBot
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Open the LangBot WebUI page, add a new pipeline or switch to the AI capability configuration page in an existing pipeline, and select `Langflow API` as the runner.
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Fill in the other settings according to the prompts, including `Base URL` (fill in according to actual network conditions), `API Key`, `Flow ID`, etc. The API Key can be obtained from Langflow's Settings:
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Flow ID can be obtained by clicking the `Share` -> `API access` button in the top right corner of the edit page and obtaining it from the example code:
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@@ -32,6 +32,8 @@ LangBot is an open-source LLM native instant messaging robot development platfor
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| [Zhipu AI](https://open.bigmodel.cn/) | ✅ | |
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| [CompShare](https://www.compshare.cn/?ytag=GPU_YY-gh_langbot) | ✅ | LLM and GPU resource platform |
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| [Dify](https://dify.ai) | ✅ | LLMOps platform |
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| [n8n](https://n8n.io/) | ✅ | LLMOps platform |
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| [Langflow](https://langflow.org/) | ✅ | LLMOps platform |
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| [PPIO](https://ppio.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | LLM and GPU resource platform |
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| [ShengSuanYun](https://www.shengsuanyun.com/login?code=7DS2QLH5) | ✅ | LLM and GPU resource platform |
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| [302.AI](https://share.302.ai/SuTG99) | ✅ | LLM gateway(MaaS) |
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# 在 LangBot 上使用 Langflow
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Langflow 是一个开源的用于构建和部署基于 AI 的 Agent 和工作流的项目。其支持本地和云端部署,并提供 API 供其他应用接入。
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LangBot 目前支持使用 Langflow 作为运行器。
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## 在 Langflow 上创建工作流
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请根据 [Langflow 文档](https://langflow.com/docs/introduction) 部署 Langflow 实例。
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以默认模板中的 Simple Agent 为例:
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您可根据需求修改工作流:
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## 配置 LangBot
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打开 LangBot WebUI 页面,添加一个新的流水线或在已有流水线中切换到 AI 能力配置页面,选择`Langflow API` 作为运行器。
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根据提示填入`Base URL`(根据实际网络情况填写) `API Key` `Flow ID` 等信息,API Key 可在 Langflow 的 Settings 中获取:
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Flow ID 可点击编辑页右上角的`Share` -> `API access` 并示例代码中获取:
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@@ -37,6 +37,8 @@ LangBot 是一个开源的大语言模型原生即时通信机器人开发平台
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| [302.AI](https://share.302.ai/SuTG99) | ✅ | 大模型聚合平台 |
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| [Google Gemini](https://aistudio.google.com/prompts/new_chat) | ✅ | |
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| [Dify](https://dify.ai) | ✅ | LLMOps 平台 |
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| [n8n](https://n8n.io/) | ✅ | LLMOps 平台 |
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| [Langflow](https://langflow.org/) | ✅ | LLMOps 平台 |
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| [Ollama](https://ollama.com/) | ✅ | 本地大模型运行平台 |
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| [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型运行平台 |
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| [GiteeAI](https://ai.gitee.com/) | ✅ | 大模型接口聚合平台 |
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