+- [Documentation](https://docs.langflow.org)
+- [Discord](https://discord.com/invite/EqksyE2EX9)
# 📦 Installation
-### Locally
-
-You can install Langflow from pip:
+You can install Langflow with pip:
```shell
-# This installs the package without dependencies for local models
-pip install langflow
+# Make sure you have Python 3.10 installed on your system.
+# Install the pre-release version
+python -m pip install langflow --pre --force-reinstall
+
+# or stable version
+python -m pip install langflow -U
```
-To use local models (e.g llama-cpp-python) run:
+Then, run Langflow with:
```shell
-pip install langflow[local]
+python -m langflow run
```
-This will install the following dependencies:
+You can also preview Langflow in [HuggingFace Spaces](https://huggingface.co/spaces/Langflow/Langflow-Preview). [Clone the space using this link](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true), to create your own Langflow workspace in minutes.
-- [CTransformers](https://github.com/marella/ctransformers)
-- [llama-cpp-python](https://github.com/abetlen/llama-cpp-python)
-- [sentence-transformers](https://github.com/UKPLab/sentence-transformers)
+# 🎨 Creating Flows
-You can still use models from projects like LocalAI, Ollama, LM Studio, Jan and others.
+Creating flows with Langflow is easy. Simply drag components from the sidebar onto the canvas and connect them to start building your application.
-Next, run:
+Explore by editing prompt parameters, grouping components into a single high-level component, and building your own Custom Components.
-```shell
-python -m langflow
+Once you’re done, you can export your flow as a JSON file.
+
+Load the flow with:
+
+```python
+from langflow.load import run_flow_from_json
+
+results = run_flow_from_json("path/to/flow.json", input_value="Hello, World!")
```
-or
-
-```shell
-langflow run # or langflow --help
-```
-
-### HuggingFace Spaces
-
-You can also check it out on [HuggingFace Spaces](https://huggingface.co/spaces/Logspace/Langflow) and run it in your browser! You can even clone it and have your own copy of Langflow to play with.
-
# 🖥️ Command Line Interface (CLI)
Langflow provides a command-line interface (CLI) for easy management and configuration.
@@ -83,7 +65,6 @@ Each option is detailed below:
- `--workers`: Sets the number of worker processes. Can be set using the `LANGFLOW_WORKERS` environment variable. The default is `1`.
- `--timeout`: Sets the worker timeout in seconds. The default is `60`.
- `--port`: Sets the port to listen on. Can be set using the `LANGFLOW_PORT` environment variable. The default is `7860`.
-- `--config`: Defines the path to the configuration file. The default is `config.yaml`.
- `--env-file`: Specifies the path to the .env file containing environment variables. The default is `.env`.
- `--log-level`: Defines the logging level. Can be set using the `LANGFLOW_LOG_LEVEL` environment variable. The default is `critical`.
- `--components-path`: Specifies the path to the directory containing custom components. Can be set using the `LANGFLOW_COMPONENTS_PATH` environment variable. The default is `langflow/components`.
@@ -114,50 +95,36 @@ Follow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP)
Alternatively, click the **"Open in Cloud Shell"** button below to launch Google Cloud Shell, clone the Langflow repository, and start an **interactive tutorial** that will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project.
-[](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts/gcp&shellonly=true&tutorial=walkthroughtutorial_spot.md)
+[](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/langflow-ai/langflow&working_dir=scripts/gcp&shellonly=true&tutorial=walkthroughtutorial_spot.md)
## Deploy on Railway
+Use this template to deploy Langflow 1.0 Preview on Railway:
+
+[](https://railway.app/template/UsJ1uB?referralCode=MnPSdg)
+
+Or this one to deploy Langflow 0.6.x:
+
[](https://railway.app/template/JMXEWp?referralCode=MnPSdg)
## Deploy on Render
-
+
-# 🎨 Creating Flows
-
-Creating flows with Langflow is easy. Simply drag components from the sidebar onto the canvas and connect them to start building your application.
-
-Explore by editing prompt parameters, grouping components into a single high-level component, and building your own Custom Components.
-
-Once you’re done, you can export your flow as a JSON file.
-
-Load the flow with:
-
-```python
-from langflow import load_flow_from_json
-
-flow = load_flow_from_json("path/to/flow.json")
-# Now you can use it
-flow("Hey, have you heard of Langflow?")
-```
-
# 👋 Contributing
We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our [contributing guidelines](./CONTRIBUTING.md) and help make Langflow more accessible.
-Join our [Discord](https://discord.com/invite/EqksyE2EX9) server to ask questions, make suggestions, and showcase your projects! 🦾
-
---
-[](https://star-history.com/#logspace-ai/langflow&Date)
+[](https://star-history.com/#langflow-ai/langflow&Date)
# 🌟 Contributors
-[](https://github.com/logspace-ai/langflow/graphs/contributors)
+[](https://github.com/langflow-ai/langflow/graphs/contributors)
# 📄 License
-Langflow is released under the MIT License. See the LICENSE file for details.
+Langflow is released under the MIT License. See the [LICENSE](LICENSE) file for details.
diff --git a/base.Dockerfile b/base.Dockerfile
deleted file mode 100644
index 2293c35dd..000000000
--- a/base.Dockerfile
+++ /dev/null
@@ -1,97 +0,0 @@
-
-
-# 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
-################################
-FROM python:3.10-slim as python-base
-
-# python
-ENV PYTHONUNBUFFERED=1 \
- # prevents python creating .pyc files
- PYTHONDONTWRITEBYTECODE=1 \
- \
- # pip
- PIP_DISABLE_PIP_VERSION_CHECK=on \
- PIP_DEFAULT_TIMEOUT=100 \
- \
- # poetry
- # https://python-poetry.org/docs/configuration/#using-environment-variables
- POETRY_VERSION=1.7.1 \
- # make poetry install to this location
- POETRY_HOME="/opt/poetry" \
- # make poetry create the virtual environment in the project's root
- # it gets named `.venv`
- POETRY_VIRTUALENVS_IN_PROJECT=true \
- # do not ask any interactive question
- POETRY_NO_INTERACTION=1 \
- \
- # paths
- # this is where our requirements + virtual environment will live
- 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
-
-
-# install poetry - respects $POETRY_VERSION & $POETRY_HOME
-# The --mount will mount the buildx cache directory to where
-# Poetry and Pip store their cache so that they can re-use it
-RUN --mount=type=cache,target=/root/.cache \
- curl -sSL https://install.python-poetry.org | python3 -
-
-# copy project requirement files here to ensure they will be cached.
-WORKDIR $PYSETUP_PATH
-COPY poetry.lock pyproject.toml ./
-COPY ./src/backend/langflow/main.py ./src/backend/langflow/main.py
-# Copy README.md to the build context
-COPY README.md .
-# install runtime deps - uses $POETRY_VIRTUALENVS_IN_PROJECT internally
-RUN --mount=type=cache,target=/root/.cache \
- poetry install --without dev --extras deploy
-
-
-################################
-# DEVELOPMENT
-# Image used during development / testing
-################################
-FROM python-base as development
-WORKDIR $PYSETUP_PATH
-
-# copy in our built poetry + venv
-COPY --from=builder-base $POETRY_HOME $POETRY_HOME
-COPY --from=builder-base $PYSETUP_PATH $PYSETUP_PATH
-
-# Copy just one file to avoid rebuilding the whole image
-COPY ./src/backend/langflow/__init__.py ./src/backend/langflow/__init__.py
-# quicker install as runtime deps are already installed
-RUN --mount=type=cache,target=/root/.cache \
- poetry install --with=dev --extras deploy
-
-# copy in our app code
-COPY ./src/backend ./src/backend
-RUN --mount=type=cache,target=/root/.cache \
- poetry install --with=dev --extras deploy
-COPY ./tests ./tests=
-
diff --git a/container-cmd-cdk.sh b/container-cmd-cdk.sh
deleted file mode 100644
index 3ac6400d8..000000000
--- a/container-cmd-cdk.sh
+++ /dev/null
@@ -1,3 +0,0 @@
-export LANGFLOW_DATABASE_URL="mysql+pymysql://${username}:${password}@${host}:3306/${dbname}"
-# echo $LANGFLOW_DATABASE_URL
-uvicorn --factory src.backend.langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --log-level debug
\ No newline at end of file
diff --git a/deploy/docker-compose.yml b/deploy/docker-compose.yml
index 201f9bc97..b1a5f4f06 100644
--- a/deploy/docker-compose.yml
+++ b/deploy/docker-compose.yml
@@ -69,10 +69,7 @@ services:
- traefik.http.routers.${STACK_NAME?Variable not set}-proxy-http.middlewares=${STACK_NAME?Variable not set}-www-redirect,${STACK_NAME?Variable not set}-https-redirect
backend: &backend
- image: "ogabrielluiz/langflow:latest"
- build:
- context: ../
- dockerfile: base.Dockerfile
+ image: "langflowai/langflow:latest"
depends_on:
- db
- broker
@@ -143,9 +140,6 @@ services:
<<: *backend
env_file:
- .env
- build:
- context: ../
- dockerfile: base.Dockerfile
command: celery -A langflow.worker.celery_app worker --loglevel=INFO --concurrency=1 -n lf-worker@%h -P eventlet
healthcheck:
test: "exit 0"
@@ -158,9 +152,6 @@ services:
- .env
networks:
- default
- build:
- context: ../
- dockerfile: base.Dockerfile
environment:
- FLOWER_PORT=5555
diff --git a/docker-compose.debug.yml b/docker-compose.debug.yml
deleted file mode 100644
index c73ff2a60..000000000
--- a/docker-compose.debug.yml
+++ /dev/null
@@ -1,33 +0,0 @@
-version: "3.4"
-
-services:
- backend:
- volumes:
- - ./:/app
- build:
- context: ./
- dockerfile: ./dev.Dockerfile
- command:
- [
- "sh",
- "-c",
- "pip install debugpy -t /tmp && python /tmp/debugpy --wait-for-client --listen 0.0.0.0:5678 -m uvicorn --factory src.backend.langflow.main:create_app --host 0.0.0.0 --port 7860 --reload",
- ]
- ports:
- - 7860:7860
- - 5678:5678
- restart: on-failure
-
- frontend:
- build:
- context: ./src/frontend
- dockerfile: ./dev.Dockerfile
- args:
- - BACKEND_URL=http://backend:7860
- ports:
- - "3000:3000"
- volumes:
- - ./src/frontend/public:/home/node/app/public
- - ./src/frontend/src:/home/node/app/src
- - ./src/frontend/package.json:/home/node/app/package.json
- restart: on-failure
diff --git a/docker/.dockerignore b/docker/.dockerignore
new file mode 100644
index 000000000..737244fba
--- /dev/null
+++ b/docker/.dockerignore
@@ -0,0 +1,9 @@
+.venv/
+**/aws
+node_modules
+**/node_modules/
+dist/
+**/build/
+src/backend/langflow/frontend
+**/langflow-pre.db
+**/langflow.db
\ No newline at end of file
diff --git a/build_and_push.Dockerfile b/docker/build_and_push.Dockerfile
similarity index 69%
rename from build_and_push.Dockerfile
rename to docker/build_and_push.Dockerfile
index f296d83aa..3a34db188 100644
--- a/build_and_push.Dockerfile
+++ b/docker/build_and_push.Dockerfile
@@ -10,7 +10,7 @@
# PYTHON-BASE
# Sets up all our shared environment variables
################################
-FROM python:3.10-slim as python-base
+FROM python:3.12-slim as python-base
# python
ENV PYTHONUNBUFFERED=1 \
@@ -23,7 +23,7 @@ ENV PYTHONUNBUFFERED=1 \
\
# poetry
# https://python-poetry.org/docs/configuration/#using-environment-variables
- POETRY_VERSION=1.7.1 \
+ POETRY_VERSION=1.8.2 \
# make poetry install to this location
POETRY_HOME="/opt/poetry" \
# make poetry create the virtual environment in the project's root
@@ -47,7 +47,7 @@ ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH"
# Used to build deps + create our virtual environment
################################
FROM python-base as builder-base
-RUN
+
RUN apt-get update \
&& apt-get install --no-install-recommends -y \
# deps for installing poetry
@@ -55,25 +55,38 @@ RUN apt-get update \
# deps for building python deps
build-essential \
# npm
- npm
+ npm \
+ # gcc
+ gcc \
+ && apt-get clean \
+ && rm -rf /var/lib/apt/lists/*
+
# Now we need to copy the entire project into the image
WORKDIR /app
COPY pyproject.toml poetry.lock ./
COPY src ./src
+COPY scripts ./scripts
COPY Makefile ./
COPY README.md ./
-RUN curl -sSL https://install.python-poetry.org | python3 - && make build
+RUN --mount=type=cache,target=/root/.cache \
+ curl -sSL https://install.python-poetry.org | python3 -
+RUN useradd -m -u 1000 user && \
+ mkdir -p /app/langflow && \
+ chown -R user:user /app && \
+ chmod -R u+w /app/langflow
-# Final stage for the application
-FROM python-base as final
+# Update PATH with home/user/.local/bin
+ENV PATH="/home/user/.local/bin:${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
# Copy virtual environment and built .tar.gz from builder base
-COPY --from=builder-base /app/dist/*.tar.gz ./
-
+USER user
# Install the package from the .tar.gz
-RUN pip install *.tar.gz
+RUN python -m pip install /app/dist/*.tar.gz --user
-WORKDIR /app
-CMD ["python", "-m", "langflow", "run", "--host", "0.0.0.0", "--port", "7860"]
+ENTRYPOINT ["python", "-m", "langflow", "run"]
+CMD ["--host", "0.0.0.0", "--port", "7860"]
diff --git a/deploy/base.Dockerfile b/docker/build_and_push_base.Dockerfile
similarity index 55%
rename from deploy/base.Dockerfile
rename to docker/build_and_push_base.Dockerfile
index 323663283..f70a517da 100644
--- a/deploy/base.Dockerfile
+++ b/docker/build_and_push_base.Dockerfile
@@ -10,7 +10,7 @@
# PYTHON-BASE
# Sets up all our shared environment variables
################################
-FROM python:3.10-slim as python-base
+FROM python:3.12-slim as python-base
# python
ENV PYTHONUNBUFFERED=1 \
@@ -23,7 +23,7 @@ ENV PYTHONUNBUFFERED=1 \
\
# poetry
# https://python-poetry.org/docs/configuration/#using-environment-variables
- POETRY_VERSION=1.5.1 \
+ POETRY_VERSION=1.8.2 \
# make poetry install to this location
POETRY_HOME="/opt/poetry" \
# make poetry create the virtual environment in the project's root
@@ -52,41 +52,47 @@ RUN apt-get update \
# deps for installing poetry
curl \
# deps for building python deps
- build-essential
+ build-essential \
+ # npm
+ npm \
+ # gcc
+ gcc \
+ && apt-get clean \
+ && rm -rf /var/lib/apt/lists/*
-# install poetry - respects $POETRY_VERSION & $POETRY_HOME
-# The --mount will mount the buildx cache directory to where
-# Poetry and Pip store their cache so that they can re-use it
RUN --mount=type=cache,target=/root/.cache \
curl -sSL https://install.python-poetry.org | python3 -
-# copy project requirement files here to ensure they will be cached.
-WORKDIR $PYSETUP_PATH
-COPY ./poetry.lock ./pyproject.toml ./
-# Copy README.md to the build context
-COPY ./README.md ./
-# install runtime deps - uses $POETRY_VIRTUALENVS_IN_PROJECT internally
-RUN --mount=type=cache,target=/root/.cache \
- poetry install --without dev --extras deploy
+# Now we need to copy the entire project into the image
+COPY pyproject.toml poetry.lock ./
+COPY src/frontend/package.json /tmp/package.json
+RUN cd /tmp && npm install
+WORKDIR /app
+COPY src/frontend ./src/frontend
+RUN rm -rf src/frontend/node_modules
+RUN cp -a /tmp/node_modules /app/src/frontend
+COPY scripts ./scripts
+COPY Makefile ./
+COPY README.md ./
+RUN cd src/frontend && npm run build
+COPY src/backend ./src/backend
+RUN cp -r src/frontend/build src/backend/base/langflow/frontend
+RUN rm -rf src/backend/base/dist
+RUN useradd -m -u 1000 user && \
+ mkdir -p /app/langflow && \
+ chown -R user:user /app && \
+ chmod -R u+w /app/langflow
+
+# Update PATH with home/user/.local/bin
+ENV PATH="/home/user/.local/bin:${PATH}"
+RUN cd src/backend/base && $POETRY_HOME/bin/poetry build
+
+# 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/src/backend/base/dist/*.tar.gz --user
-################################
-# DEVELOPMENT
-# Image used during development / testing
-################################
-FROM python-base as development
-WORKDIR $PYSETUP_PATH
-
-# copy in our built poetry + venv
-COPY --from=builder-base $POETRY_HOME $POETRY_HOME
-COPY --from=builder-base $PYSETUP_PATH $PYSETUP_PATH
-
-# Copy just one file to avoid rebuilding the whole image
-COPY ./src/backend/langflow/__init__.py ./src/backend/langflow/__init__.py
-# quicker install as runtime deps are already installed
-RUN --mount=type=cache,target=/root/.cache \
- poetry install --with=dev --extras deploy
-
-# copy in our app code
-COPY ./src/backend ./src/backend
-COPY ./tests ./tests
+ENTRYPOINT ["python", "-m", "langflow", "run"]
+CMD ["--host", "0.0.0.0", "--port", "7860"]
diff --git a/docker-compose.yml b/docker/cdk-docker-compose.yml
similarity index 84%
rename from docker-compose.yml
rename to docker/cdk-docker-compose.yml
index c74447899..987d198aa 100644
--- a/docker-compose.yml
+++ b/docker/cdk-docker-compose.yml
@@ -13,7 +13,7 @@ services:
- "7860:7860"
volumes:
- ./:/app
- command: bash -c "uvicorn --factory src.backend.langflow.main:create_app --host 0.0.0.0 --port 7860 --reload"
+ command: bash -c "uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --loop asyncio"
networks:
- langflow
frontend:
@@ -23,7 +23,7 @@ services:
args:
- BACKEND_URL=http://backend:7860
depends_on:
- - backend
+ - backend
environment:
- VITE_PROXY_TARGET=http://backend:7860
ports:
diff --git a/cdk.Dockerfile b/docker/cdk.Dockerfile
similarity index 92%
rename from cdk.Dockerfile
rename to docker/cdk.Dockerfile
index 670ae49bd..5370c9928 100644
--- a/cdk.Dockerfile
+++ b/docker/cdk.Dockerfile
@@ -15,6 +15,7 @@ COPY ./ ./
# Install dependencies
RUN poetry config virtualenvs.create false && poetry install --no-interaction --no-ansi
-RUN poetry add pymysql==1.0.2
+RUN poetry add botocore
+RUN poetry add pymysql
CMD ["sh", "./container-cmd-cdk.sh"]
diff --git a/docker/container-cmd-cdk.sh b/docker/container-cmd-cdk.sh
new file mode 100644
index 000000000..dbab8f42f
--- /dev/null
+++ b/docker/container-cmd-cdk.sh
@@ -0,0 +1,5 @@
+export LANGFLOW_DATABASE_URL="mysql+pymysql://${username}:${password}@${host}:3306/${dbname}"
+# echo $LANGFLOW_DATABASE_URL
+uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --log-level debug --loop asyncio
+
+# python -m langflow run --host 0.0.0.0 --port 7860
\ No newline at end of file
diff --git a/dev.Dockerfile b/docker/dev.Dockerfile
similarity index 77%
rename from dev.Dockerfile
rename to docker/dev.Dockerfile
index ed3631516..3e5a1d95e 100644
--- a/dev.Dockerfile
+++ b/docker/dev.Dockerfile
@@ -15,4 +15,4 @@ COPY ./ ./
# Install dependencies
RUN poetry config virtualenvs.create false && poetry install --no-interaction --no-ansi
-CMD ["uvicorn", "--factory", "src.backend.langflow.main:create_app", "--host", "0.0.0.0", "--port", "7860", "--reload", "--log-level", "debug"]
+CMD ["uvicorn", "--factory", "langflow.main:create_app", "--host", "0.0.0.0", "--port", "7860", "--reload", "--log-level", "debug", "--loop", "asyncio"]
diff --git a/Dockerfile b/docker/render.Dockerfile
similarity index 100%
rename from Dockerfile
rename to docker/render.Dockerfile
diff --git a/docker_example/Dockerfile b/docker_example/Dockerfile
index 346348c0a..e7f0b422a 100644
--- a/docker_example/Dockerfile
+++ b/docker_example/Dockerfile
@@ -1,15 +1,3 @@
-FROM python:3.10-slim
+FROM langflowai/langflow:latest
-RUN apt-get update && apt-get install gcc g++ git make -y && apt-get clean \
- && rm -rf /var/lib/apt/lists/*
-RUN useradd -m -u 1000 user
-USER user
-ENV HOME=/home/user \
- PATH=/home/user/.local/bin:$PATH
-
-WORKDIR $HOME/app
-
-COPY --chown=user . $HOME/app
-
-RUN pip install langflow>==0.5.0 -U --user
CMD ["python", "-m", "langflow", "run", "--host", "0.0.0.0", "--port", "7860"]
diff --git a/docker_example/README.md b/docker_example/README.md
index 9e72dc645..c5d2adb26 100644
--- a/docker_example/README.md
+++ b/docker_example/README.md
@@ -1,9 +1,65 @@
-# LangFlow Docker Running
+# Running LangFlow with Docker
-```sh
-git clone git@github.com:logspace-ai/langflow.git
-cd langflow/docker_example
-docker compose up
-```
+This guide will help you get LangFlow up and running using Docker and Docker Compose.
-The web UI will be accessible on port [7860](http://localhost:7860/)
\ No newline at end of file
+## Prerequisites
+
+- Docker
+- Docker Compose
+
+## Steps
+
+1. Clone the LangFlow repository:
+
+ ```sh
+ git clone https://github.com/langflow-ai/langflow.git
+ ```
+
+2. Navigate to the `docker_example` directory:
+
+ ```sh
+ cd langflow/docker_example
+ ```
+
+3. Run the Docker Compose file:
+
+ ```sh
+ docker compose up
+ ```
+
+LangFlow will now be accessible at [http://localhost:7860/](http://localhost:7860/).
+
+## Docker Compose Configuration
+
+The Docker Compose configuration spins up two services: `langflow` and `postgres`.
+
+### LangFlow Service
+
+The `langflow` service uses the `langflowai/langflow:latest` Docker image and exposes port 7860. It depends on the `postgres` service.
+
+Environment variables:
+
+- `LANGFLOW_DATABASE_URL`: The connection string for the PostgreSQL database.
+- `LANGFLOW_CONFIG_DIR`: The directory where LangFlow stores logs, file storage, monitor data, and secret keys.
+
+Volumes:
+
+- `langflow-data`: This volume is mapped to `/var/lib/langflow` in the container.
+
+### PostgreSQL Service
+
+The `postgres` service uses the `postgres:16` Docker image and exposes port 5432.
+
+Environment variables:
+
+- `POSTGRES_USER`: The username for the PostgreSQL database.
+- `POSTGRES_PASSWORD`: The password for the PostgreSQL database.
+- `POSTGRES_DB`: The name of the PostgreSQL database.
+
+Volumes:
+
+- `langflow-postgres`: This volume is mapped to `/var/lib/postgresql/data` in the container.
+
+## Switching to a Specific LangFlow Version
+
+If you want to use a specific version of LangFlow, you can modify the `image` field under the `langflow` service in the Docker Compose file. For example, to use version 1.0-alpha, change `langflowai/langflow:latest` to `langflowai/langflow:1.0-alpha`.
diff --git a/docker_example/docker-compose.yml b/docker_example/docker-compose.yml
index da68b4471..a8fddac71 100644
--- a/docker_example/docker-compose.yml
+++ b/docker_example/docker-compose.yml
@@ -1,10 +1,30 @@
-version: '3'
+version: "3.8"
services:
langflow:
- build:
- context: .
- dockerfile: Dockerfile
+ image: langflowai/langflow:latest
ports:
- "7860:7860"
- command: langflow run --host 0.0.0.0
+ depends_on:
+ - postgres
+ environment:
+ - LANGFLOW_DATABASE_URL=postgresql://langflow:langflow@postgres:5432/langflow
+ # This variable defines where the logs, file storage, monitor data and secret keys are stored.
+ - LANGFLOW_CONFIG_DIR=/var/lib/langflow
+ volumes:
+ - langflow-data:/var/lib/langflow
+
+ postgres:
+ image: postgres:16
+ environment:
+ POSTGRES_USER: langflow
+ POSTGRES_PASSWORD: langflow
+ POSTGRES_DB: langflow
+ ports:
+ - "5432:5432"
+ volumes:
+ - langflow-postgres:/var/lib/postgresql/data
+
+volumes:
+ langflow-postgres:
+ langflow-data:
diff --git a/docker_example/pre.Dockerfile b/docker_example/pre.Dockerfile
new file mode 100644
index 000000000..a72b72595
--- /dev/null
+++ b/docker_example/pre.Dockerfile
@@ -0,0 +1,3 @@
+FROM langflowai/langflow:1.0-alpha
+
+CMD ["python", "-m", "langflow", "run", "--host", "0.0.0.0", "--port", "7860"]
diff --git a/docker_example/pre.docker-compose.yml b/docker_example/pre.docker-compose.yml
new file mode 100644
index 000000000..3df573df5
--- /dev/null
+++ b/docker_example/pre.docker-compose.yml
@@ -0,0 +1,30 @@
+version: "3.8"
+
+services:
+ langflow:
+ image: langflowai/langflow:1.0-alpha
+ ports:
+ - "7860:7860"
+ depends_on:
+ - postgres
+ environment:
+ - LANGFLOW_DATABASE_URL=postgresql://langflow:langflow@postgres:5432/langflow
+ # This variable defines where the logs, file storage, monitor data and secret keys are stored.
+ - LANGFLOW_CONFIG_DIR=app/langflow
+ volumes:
+ - langflow-data:/app/langflow
+
+ postgres:
+ image: postgres:16
+ environment:
+ POSTGRES_USER: langflow
+ POSTGRES_PASSWORD: langflow
+ POSTGRES_DB: langflow
+ ports:
+ - "5432:5432"
+ volumes:
+ - langflow-postgres:/var/lib/postgresql/data
+
+volumes:
+ langflow-postgres:
+ langflow-data:
diff --git a/docs/docs/guidelines/api.mdx b/docs/docs/administration/api.mdx
similarity index 77%
rename from docs/docs/guidelines/api.mdx
rename to docs/docs/administration/api.mdx
index 8bba633fb..103c43f81 100644
--- a/docs/docs/guidelines/api.mdx
+++ b/docs/docs/administration/api.mdx
@@ -1,18 +1,24 @@
import useBaseUrl from "@docusaurus/useBaseUrl";
import ZoomableImage from "/src/theme/ZoomableImage.js";
+import Admonition from "@theme/Admonition";
# API Keys
-## Introduction
+Langflow provides an API key functionality that allows users to access their individual components and flows without traditional login authentication. The API key is a user-specific token that can be included in the request header or query parameter to authenticate API calls. This documentation outlines how to generate, use, and manage API keys in Langflow.
-Langflow offers an API Key functionality that allows users to access their individual components and flows without going through traditional login authentication. The API Key is a user-specific token that can be included in the request's header or query parameter to authenticate API calls. The following documentation outlines how to generate, use, and manage these API Keys in Langflow.
+- We appreciate your understanding as we polish our documentation – it may - contain some rough edges. Share your feedback or report issues to help us - improve! 🛠️📝 -
++ Thank you for your patience while we enhance our documentation. It may + have some imperfections. Share your feedback or report issues to help us + improve! 🛠️📝 +
- We appreciate your understanding as we polish our documentation – it may - contain some rough edges. Share your feedback or report issues to help us - improve! 🛠️📝 -
-
+ Customize the build_config and build methods according to your requirements.
+
+ 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 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 of the _`Record`_ will be updated with the _`Sender`_, _`Sender Name`_, and _`Session ID`_. -
-- The `TextInput` component serves as a straightforward means for setting Text input values in the chat window. It ensures that textual data can be seamlessly passed to subsequent components in the flow. -
-- The `TextOutput` component serves as a straightforward means for displaying text data. It ensures that textual data can be seamlessly observed in the chat window throughout your flow. -
-- We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝 -
-- We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝 + Thanks for your patience as we improve our documentation—it might have some rough edges. Share your feedback or report issues to help us enhance it! 🛠️📝
- The component retrieves messages based on the provided criteria, including the specific file path for stored messages. If no specific criteria are provided, it will return the most recent messages up to the specified limit. This component can be used to review past interactions and analyze the flow of conversations. + The component retrieves messages based on the provided criteria, including the specific file path for stored messages. If no specific criteria are provided, it returns the most recent messages up to the specified limit. This component can be used to review past interactions and analyze conversation flows.
+ Thank you for your patience as we refine our documentation. You might encounter some inconsistencies. Please help us improve by sharing your feedback or reporting any issues! 🛠️📝 +
++ Ensure that necessary credentials are provided to connect to the Amazon + Bedrock API. If connection fails, a ValueError will be raised. +
++ 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`. +
+- We appreciate your understanding as we polish our documentation – it may - contain some rough edges. Share your feedback or report issues to help us - improve! 🛠️📝 + 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!
- We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝 + We appreciate your patience as we enhance our documentation. It may have some imperfections. Please share your feedback or report issues to help us improve. 🛠️📝
- We appreciate your understanding as we polish our documentation – it may - contain some rough edges. Share your feedback or report issues to help us - improve! 🛠️📝 + Thank you for your patience as we enhance our documentation. It might + currently have some rough edges. Please share your feedback or report any + issues to assist us in improving! 🛠️📝
- We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝 + Thanks for your patience as we refine our documentation. It might have some rough edges currently. Please share your feedback or report issues to help us enhance it! 🛠️📝
- We appreciate your understanding as we polish our documentation – it may - contain some rough edges. Share your feedback or report issues to help us - improve! 🛠️📝 -
+- The Unique ID Generator is crucial for scenarios requiring distinct identifiers, such as session management, transaction tracking, or any context where different instances or entities must be uniquely identified. The generated UUID is provided as a hexadecimal string, offering a high level of uniqueness and security for identification purposes. -
+ The Unique ID Generator is crucial for scenarios requiring distinct identifiers, such as session management, transaction tracking, or any context where different instances or entities must be uniquely identified. The generated UUID is provided as a hexadecimal string, offering a high level of uniqueness and security for identification purposes.- We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! 🛠️📝 -
-- We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report 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.
++ While this should work most of the time, it might not work for all flows. + You might need to update the Chain or Agent component to the latest version. + Please let us know if you encounter any issues. +
++ We are currently working on updating this guide to provide the most accurate + and up-to-date information on migrating to Langflow 1.0. We will be adding + more content and examples to help you navigate the changes and improvements + in the new version. +
+- {line} -
- ))} -