+
+
+ 
+
++ Um framework visual para criar apps de agentes autônomos e RAG +
++ Open-source, construído em Python, totalmente personalizável, agnóstico em relação a modelos e databases +
+ ++ Docs - + Junte-se ao nosso Discord - + Siga-nos no X - + Demonstração +
+ + + +
+ 
+
+ 
+
+
+
+# 🖥️ Interface de Linha de Comando (CLI)
+
+O Langflow fornece uma interface de linha de comando (CLI) para fácil gerenciamento e configuração.
+
+## Uso
+
+Você pode executar o Langflow usando o seguinte comando:
+
+```shell
+langflow run [OPTIONS]
+```
+
+Cada opção é detalhada abaixo:
+
+- `--help`: Exibe todas as opções disponíveis.
+- `--host`: Define o host para vincular o servidor. Pode ser configurado usando a variável de ambiente `LANGFLOW_HOST`. O padrão é `127.0.0.1`.
+- `--workers`: Define o número de processos. Pode ser configurado usando a variável de ambiente `LANGFLOW_WORKERS`. O padrão é `1`.
+- `--timeout`: Define o tempo limite do worker em segundos. O padrão é `60`.
+- `--port`: Define a porta para escutar. Pode ser configurado usando a variável de ambiente `LANGFLOW_PORT`. O padrão é `7860`.
+- `--env-file`: Especifica o caminho para o arquivo .env contendo variáveis de ambiente. O padrão é `.env`.
+- `--log-level`: Define o nível de log. Pode ser configurado usando a variável de ambiente `LANGFLOW_LOG_LEVEL`. O padrão é `critical`.
+- `--components-path`: Especifica o caminho para o diretório contendo componentes personalizados. Pode ser configurado usando a variável de ambiente `LANGFLOW_COMPONENTS_PATH`. O padrão é `langflow/components`.
+- `--log-file`: Especifica o caminho para o arquivo de log. Pode ser configurado usando a variável de ambiente `LANGFLOW_LOG_FILE`. O padrão é `logs/langflow.log`.
+- `--cache`: Seleciona o tipo de cache a ser usado. As opções são `InMemoryCache` e `SQLiteCache`. Pode ser configurado usando a variável de ambiente `LANGFLOW_LANGCHAIN_CACHE`. O padrão é `SQLiteCache`.
+- `--dev/--no-dev`: Alterna o modo de desenvolvimento. O padrão é `no-dev`.
+- `--path`: Especifica o caminho para o diretório frontend contendo os arquivos de build. Esta opção é apenas para fins de desenvolvimento. Pode ser configurado usando a variável de ambiente `LANGFLOW_FRONTEND_PATH`.
+- `--open-browser/--no-open-browser`: Alterna a opção de abrir o navegador após iniciar o servidor. Pode ser configurado usando a variável de ambiente `LANGFLOW_OPEN_BROWSER`. O padrão é `open-browser`.
+- `--remove-api-keys/--no-remove-api-keys`: Alterna a opção de remover as chaves de API dos projetos salvos no banco de dados. Pode ser configurado usando a variável de ambiente `LANGFLOW_REMOVE_API_KEYS`. O padrão é `no-remove-api-keys`.
+- `--install-completion [bash|zsh|fish|powershell|pwsh]`: Instala a conclusão para o shell especificado.
+- `--show-completion [bash|zsh|fish|powershell|pwsh]`: Exibe a conclusão para o shell especificado, permitindo que você copie ou personalize a instalação.
+- `--backend-only`: Este parâmetro, com valor padrão `False`, permite executar apenas o servidor backend sem o frontend. Também pode ser configurado usando a variável de ambiente `LANGFLOW_BACKEND_ONLY`.
+- `--store`: Este parâmetro, com valor padrão `True`, ativa os recursos da loja, use `--no-store` para desativá-los. Pode ser configurado usando a variável de ambiente `LANGFLOW_STORE`.
+
+Esses parâmetros são importantes para usuários que precisam personalizar o comportamento do Langflow, especialmente em cenários de desenvolvimento ou deploy especializado.
+
+### Variáveis de Ambiente
+
+Você pode configurar muitas das opções de CLI usando variáveis de ambiente. Estas podem ser exportadas no seu sistema operacional ou adicionadas a um arquivo `.env` e carregadas usando a opção `--env-file`.
+
+Um arquivo de exemplo `.env` chamado `.env.example` está incluído no projeto. Copie este arquivo para um novo arquivo chamado `.env` e substitua os valores de exemplo pelas suas configurações reais. Se você estiver definindo valores tanto no seu sistema operacional quanto no arquivo `.env`, as configurações do `.env` terão precedência.
+
+# 👋 Contribuir
+
+Aceitamos contribuições de desenvolvedores de todos os níveis para nosso projeto open-source no GitHub. Se você deseja contribuir, por favor, confira nossas [diretrizes de contribuição](./CONTRIBUTING.md) e ajude a tornar o Langflow mais acessível.
+
+---
+
+[](https://star-history.com/#langflow-ai/langflow&Date)
+
+# 🌟 Contribuidores
+
+[](https://github.com/langflow-ai/langflow/graphs/contributors)
+
+# 📄 Licença
+
+O Langflow é lançado sob a licença MIT. Veja o arquivo [LICENSE](LICENSE) para detalhes.
diff --git a/README.md b/README.md
index 3c29e83e2..940855bb1 100644
--- a/README.md
+++ b/README.md
@@ -25,13 +25,17 @@
+
+
+
+ 一种用于构建多智能体和RAG应用的可视化框架 +
++ 开源、Python驱动、完全可定制、大模型且不依赖于特定的向量存储 +
+ ++ 文档 - + 加入我们的Discord社区 - + 在X上关注我们 - + 在线体验 +
+ + + +
+
+
+
+
+
+
+# 🖥️ 命令行界面 (CLI)
+
+Langflow提供了一个命令行界面以便于平台的管理和配置。
+
+## 用法
+
+您可以使用以下命令运行Langflow：
+
+```shell
+langflow run [OPTIONS]
+```
+
+命令行参数的详细说明：
+
+- `--help`: 显示所有可用参数。
+- `--host`: 定义绑定服务器的主机host参数，可以使用 LANGFLOW_HOST 环境变量设置，默认值为 127.0.0.1。
+- `--workers`: 设置工作进程的数量，可以使用 LANGFLOW_WORKERS 环境变量设置，默认值为 1。
+- `--timeout`: 设置工作进程的超时时间（秒），默认值为 60。
+- `--port`: 设置服务监听的端口，可以使用 LANGFLOW_PORT 环境变量设置，默认值为 7860。
+- `--config`: 定义配置文件的路径，默认值为 config.yaml。
+- `--env-file`: 指定包含环境变量的 .env 文件路径，默认值为 .env。
+- `--log-level`: 定义日志记录级别，可以使用 LANGFLOW_LOG_LEVEL 环境变量设置，默认值为 critical。
+- `--components-path`: 指定包含自定义组件的目录路径，可以使用 LANGFLOW_COMPONENTS_PATH 环境变量设置，默认值为 langflow/components。
+- `--log-file`: 指定日志文件的路径，可以使用 LANGFLOW_LOG_FILE 环境变量设置，默认值为 logs/langflow.log。
+- `--cache`: 选择要使用的缓存类型，可选项为 InMemoryCache 和 SQLiteCache，可以使用 LANGFLOW_LANGCHAIN_CACHE 环境变量设置，默认值为 SQLiteCache。
+- `--dev/--no-dev`: 切换开发/非开发模式，默认值为 no-dev即非开发模式。
+- `--path`: 指定包含前端构建文件的目录路径，此参数仅用于开发目的，可以使用 LANGFLOW_FRONTEND_PATH 环境变量设置。
+- `--open-browser/--no-open-browser`: 切换启动服务器后是否打开浏览器，可以使用 LANGFLOW_OPEN_BROWSER 环境变量设置，默认值为 open-browser即启动后打开浏览器。
+- `--remove-api-keys/--no-remove-api-keys`: 切换是否从数据库中保存的项目中移除 API 密钥，可以使用 LANGFLOW_REMOVE_API_KEYS 环境变量设置，默认值为 no-remove-api-keys。
+- `--install-completion [bash|zsh|fish|powershell|pwsh]`: 为指定的 shell 安装自动补全。
+- `--show-completion [bash|zsh|fish|powershell|pwsh]`: 显示指定 shell 的自动补全，使您可以复制或自定义安装。
+- `--backend-only`: 此参数默认为 False，允许仅运行后端服务器而不运行前端，也可以使用 LANGFLOW_BACKEND_ONLY 环境变量设置。
+- `--store`: 此参数默认为 True，启用存储功能，使用 --no-store 可禁用它，可以使用 LANGFLOW_STORE 环境变量配置。
+
+这些参数对于需要定制 Langflow 行为的用户尤其重要，特别是在开发或者特殊部署场景中。
+
+### 环境变量
+
+您可以使用环境变量配置许多 CLI 参数选项。这些变量可以在操作系统中导出，或添加到 .env 文件中，并使用 --env-file 参数加载。
+
+项目中包含一个名为 .env.example 的示例 .env 文件。将此文件复制为新文件 .env，并用实际设置值替换示例值。如果同时在操作系统和 .env 文件中设置值，则 .env 设置优先。
+
+# 👋 贡献
+
+我们欢迎各级开发者为我们的 GitHub 开源项目做出贡献，并帮助 Langflow 更加易用，如果您想参与贡献，请查看我们的贡献指南 [contributing guidelines](./CONTRIBUTING.md) 。
+
+---
+
+[](https://star-history.com/#langflow-ai/langflow&Date)
+
+# 🌟 贡献者
+
+[](https://github.com/langflow-ai/langflow/graphs/contributors)
+
+# 📄 许可证
+
+Langflow 以 MIT 许可证发布。有关详细信息，请参阅 [LICENSE](LICENSE) 文件。
diff --git a/docker/build_and_push.Dockerfile b/docker/build_and_push.Dockerfile
index 3a34db188..cabc1a753 100644
--- a/docker/build_and_push.Dockerfile
+++ b/docker/build_and_push.Dockerfile
@@ -1,21 +1,13 @@
-
-
# syntax=docker/dockerfile:1
# Keep this syntax directive! It's used to enable Docker BuildKit
-# Based on https://github.com/python-poetry/poetry/discussions/1879?sort=top#discussioncomment-216865
-# but I try to keep it updated (see history)
-
################################
-# PYTHON-BASE
-# Sets up all our shared environment variables
+# BUILDER-BASE
+# Used to build deps + create our virtual environment
################################
-FROM python:3.12-slim as python-base
+FROM python:3.12-slim as builder-base
-# python
-ENV PYTHONUNBUFFERED=1 \
- # prevents python creating .pyc files
- PYTHONDONTWRITEBYTECODE=1 \
+ENV PYTHONDONTWRITEBYTECODE=1 \
\
# pip
PIP_DISABLE_PIP_VERSION_CHECK=on \
@@ -37,56 +29,49 @@ ENV PYTHONUNBUFFERED=1 \
PYSETUP_PATH="/opt/pysetup" \
VENV_PATH="/opt/pysetup/.venv"
-
-# prepend poetry and venv to path
-ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH"
-
-
-################################
-# BUILDER-BASE
-# Used to build deps + create our virtual environment
-################################
-FROM python-base as builder-base
-
RUN apt-get update \
&& apt-get install --no-install-recommends -y \
# deps for installing poetry
curl \
# deps for building python deps
- build-essential \
- # npm
- npm \
+ build-essential npm \
# gcc
gcc \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
-
-
-# Now we need to copy the entire project into the image
-WORKDIR /app
-COPY pyproject.toml poetry.lock ./
-COPY src ./src
-COPY scripts ./scripts
-COPY Makefile ./
-COPY README.md ./
RUN --mount=type=cache,target=/root/.cache \
curl -sSL https://install.python-poetry.org | python3 -
-RUN useradd -m -u 1000 user && \
- mkdir -p /app/langflow && \
- chown -R user:user /app && \
- chmod -R u+w /app/langflow
-# Update PATH with home/user/.local/bin
-ENV PATH="/home/user/.local/bin:${PATH}"
-RUN python -m pip install requests && cd ./scripts && python update_dependencies.py
-RUN $POETRY_HOME/bin/poetry lock
-RUN $POETRY_HOME/bin/poetry build
+WORKDIR /app
+COPY pyproject.toml poetry.lock README.md ./
+COPY src/ ./src
+COPY scripts/ ./scripts
+
+RUN python -m pip install requests --user && cd ./scripts && python update_dependencies.py
+RUN $POETRY_HOME/bin/poetry lock --no-update \
+ && $POETRY_HOME/bin/poetry install --no-interaction --no-ansi -E deploy \
+ && $POETRY_HOME/bin/poetry build -f wheel \
+ && $POETRY_HOME/bin/poetry run pip install dist/*.whl
+
+################################
+# RUNTIME
+# Setup user, utilities and copy the virtual environment only
+################################
+FROM python:3.12-slim as runtime
+
+LABEL org.opencontainers.image.title=langflow
+LABEL org.opencontainers.image.authors=['Langflow']
+LABEL org.opencontainers.image.licenses=MIT
+LABEL org.opencontainers.image.url=https://github.com/langflow-ai/langflow
+LABEL org.opencontainers.image.source=https://github.com/langflow-ai/langflow
+
+RUN useradd user -u 1000 -g 0 --no-create-home --home-dir /app/data
+COPY --from=builder-base --chown=1000 /app/.venv /app/.venv
+ENV PATH="/app/.venv/bin:${PATH}"
-# Copy virtual environment and built .tar.gz from builder base
USER user
-# Install the package from the .tar.gz
-RUN python -m pip install /app/dist/*.tar.gz --user
+WORKDIR /app
ENTRYPOINT ["python", "-m", "langflow", "run"]
-CMD ["--host", "0.0.0.0", "--port", "7860"]
+CMD ["--host", "0.0.0.0", "--port", "7860"]
\ No newline at end of file
diff --git a/docker/build_and_push_backend.Dockerfile b/docker/build_and_push_backend.Dockerfile
new file mode 100644
index 000000000..8b82da524
--- /dev/null
+++ b/docker/build_and_push_backend.Dockerfile
@@ -0,0 +1,8 @@
+# syntax=docker/dockerfile:1
+# Keep this syntax directive! It's used to enable Docker BuildKit
+
+ARG LANGFLOW_IMAGE
+FROM $LANGFLOW_IMAGE
+
+RUN rm -rf /app/.venv/langflow/frontend
+CMD ["--host", "0.0.0.0", "--port", "7860", "--backend-only"]
diff --git a/docker/frontend/build_and_push_frontend.Dockerfile b/docker/frontend/build_and_push_frontend.Dockerfile
new file mode 100644
index 000000000..e954a801e
--- /dev/null
+++ b/docker/frontend/build_and_push_frontend.Dockerfile
@@ -0,0 +1,27 @@
+# syntax=docker/dockerfile:1
+# Keep this syntax directive! It's used to enable Docker BuildKit
+
+################################
+# BUILDER-BASE
+################################
+FROM node:lts-bookworm-slim as builder-base
+COPY src/frontend /frontend
+
+RUN cd /frontend && npm install && npm run build
+
+################################
+# RUNTIME
+################################
+FROM nginxinc/nginx-unprivileged:stable-bookworm-perl as runtime
+
+LABEL org.opencontainers.image.title=langflow-frontend
+LABEL org.opencontainers.image.authors=['Langflow']
+LABEL org.opencontainers.image.licenses=MIT
+LABEL org.opencontainers.image.url=https://github.com/langflow-ai/langflow
+LABEL org.opencontainers.image.source=https://github.com/langflow-ai/langflow
+
+COPY --from=builder-base --chown=nginx /frontend/build /usr/share/nginx/html
+COPY --chown=nginx ./docker/frontend/nginx.conf /etc/nginx/conf.d/default.conf
+COPY --chown=nginx ./docker/frontend/start-nginx.sh /start-nginx.sh
+RUN chmod +x /start-nginx.sh
+ENTRYPOINT ["/start-nginx.sh"]
\ No newline at end of file
diff --git a/docker/frontend/nginx.conf b/docker/frontend/nginx.conf
new file mode 100644
index 000000000..d5ecfce43
--- /dev/null
+++ b/docker/frontend/nginx.conf
@@ -0,0 +1,22 @@
+server {
+ gzip on;
+ gzip_comp_level 2;
+ gzip_min_length 1000;
+ gzip_types text/xml text/css;
+ gzip_http_version 1.1;
+ gzip_vary on;
+ gzip_disable "MSIE [4-6] \.";
+
+ listen 80;
+
+ location / {
+ root /usr/share/nginx/html;
+ index index.html index.htm;
+ try_files $uri $uri/ /index.html =404;
+ }
+ location /api {
+ proxy_pass __BACKEND_URL__;
+ }
+
+ include /etc/nginx/extra-conf.d/*.conf;
+}
diff --git a/docker/frontend/start-nginx.sh b/docker/frontend/start-nginx.sh
new file mode 100644
index 000000000..3607adf7d
--- /dev/null
+++ b/docker/frontend/start-nginx.sh
@@ -0,0 +1,16 @@
+#!/bin/sh
+set -e
+trap 'kill -TERM $PID' TERM INT
+if [ -z "$BACKEND_URL" ]; then
+ BACKEND_URL="$1"
+fi
+if [ -z "$BACKEND_URL" ]; then
+ echo "BACKEND_URL must be set as an environment variable or as first parameter. (e.g. http://localhost:7860)"
+ exit 1
+fi
+sed -i "s|__BACKEND_URL__|$BACKEND_URL|g" /etc/nginx/conf.d/default.conf
+cat /etc/nginx/conf.d/default.conf
+
+
+# Start nginx
+exec nginx -g 'daemon off;'
diff --git a/docs/docs/administration/global-env.mdx b/docs/docs/administration/global-env.mdx
index c23ca8dd1..51e5d633e 100644
--- a/docs/docs/administration/global-env.mdx
+++ b/docs/docs/administration/global-env.mdx
@@ -1,31 +1,39 @@
+import ThemedImage from "@theme/ThemedImage";
+import useBaseUrl from "@docusaurus/useBaseUrl";
import ZoomableImage from "/src/theme/ZoomableImage.js";
-import Admonition from "@theme/Admonition";
import ReactPlayer from "react-player";
+import Admonition from "@theme/Admonition";
-# Global Environment Variables
+# Global Variables
-Langflow 1.0 alpha includes the option to add **Global Environment Variables** for your application.
+Global Variables are a useful feature of Langflow, allowing you to define reusable variables accessed from any Text field in your project.
-## Add a global variable to a project
+## TL;DR
-In this example, you'll add the `openai_api_key` credential as a global environment variable to the **Basic Prompting** starter project.
+- Global Variables are reusable variables accessible from any Text field in your project.
+- To create one, click the 🌐 button in a Text field and then **+ Add New Variable**.
+- Define the **Name**, **Type**, and **Value** of the variable.
+- Click **Save Variable** to create it.
+- All Credential Global Variables are encrypted and accessible only by you.
+- Set _`LANGFLOW_STORE_ENVIRONMENT_VARIABLES`_ to _`true`_ in your `.env` file to add all variables in _`LANGFLOW_VARIABLES_TO_GET_FROM_ENVIRONMENT`_ to your user's Global Variables.
-For more information on the starter flow, see [Basic prompting](../starter-projects/basic-prompting.mdx).
+## Creating and Adding a Global Variable
-1. From the Langflow dashboard, click **New Project**.
-2. Select **Basic Prompting**.
+To create and add a global variable, click the 🌐 button in a Text field, and then click **+ Add New Variable**.
-The **Basic Prompting** flow is created.
+Text fields are where you write text without opening a Text area, and are identified with the 🌐 icon.
-3. To create an environment variable for the **OpenAI** component:
- 1. In the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**.
- 2. In the **Variable Name** field, enter `openai_api_key`.
- 3. In the **Value** field, paste your OpenAI API Key (`sk-...`).
- 4. For the variable **Type**, select **Credential**.
- 5. In the **Apply to Fields** field, select **OpenAI API Key** to apply this variable to all fields named **OpenAI API Key**.
- 6. Click **Save Variable**.
+For example, to create an environment variable for the **OpenAI** component:
+
+1. In the **OpenAI API Key** text field, click the 🌐 button, then **Add New Variable**.
+2. Enter `openai_api_key` in the **Variable Name** field.
+3. Paste your OpenAI API Key (`sk-...`) in the **Value** field.
+4. Select **Credential** for the **Type**.
+5. Choose **OpenAI API Key** in the **Apply to Fields** field to apply this variable to all fields named **OpenAI API Key**.
+6. Click **Save Variable**.
You now have a `openai_api_key` global environment variable for your Langflow project.
+Subsequently, clicking the 🌐 button in a Text field will display the new variable in the dropdown.
+ If `As Record` is `true` and the `Message` is a `Record`, the data of the + `Record` will be updated with the `Sender`, `Sender Name`, and `Session ID`. +
++ If `As Record` is `true` and the `Message` is a `Record`, the data in the + `Record` is updated with the `Sender`, `Sender Name`, and `Session ID`. +
+- If `As Record` is `true` and the `Message` is a `Record`, the data - of the `Record` will be updated with the `Sender`, `Sender Name`, and - `Session ID`. -
-- If `As Record` is `true` and the `Message` is a `Record`, the data in the `Record` is updated with the `Sender`, `Sender Name`, and `Session ID`. -
-- Thank you for your patience as we refine our documentation. It may - still have some areas under development. Please share your feedback or report any issues to help us improve! -
-ConversationChain component, you
- will see orange o and purple{" "}
- o input handles. They indicate that
- this component accepts an LLM and a Memory component as inputs. The red
- asterisk * means that at least one input
- of that type is required.
-