Merge branch 'dev' into saveComponent

This commit is contained in:
anovazzi1 2023-10-11 16:13:11 -03:00
commit f0c64112ea
249 changed files with 13468 additions and 5036 deletions

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@ -46,10 +46,20 @@ LANGFLOW_OPEN_BROWSER=
# Example: LANGFLOW_REMOVE_API_KEYS=false
LANGFLOW_REMOVE_API_KEYS=
# Whether to use RedisCache or InMemoryCache
# Values: memory, redis
# Example: LANGFLOW_CACHE_TYPE=memory
# If you want to use redis then the following environment variables must be set:
# LANGFLOW_REDIS_HOST (default: localhost)
# LANGFLOW_REDIS_PORT (default: 6379)
# LANGFLOW_REDIS_DB (default: 0)
# LANGFLOW_REDIS_CACHE_EXPIRE (default: 3600)
LANGFLOW_CACHE_TYPE=
# Superuser username
# Example: LANGFLOW_SUPERUSER=admin
LANGFLOW_SUPERUSER=
# Superuser password
# Example: LANGFLOW_SUPERUSER_PASSWORD=123456
LANGFLOW_SUPERUSER_PASSWORD=
LANGFLOW_SUPERUSER_PASSWORD=

52
.github/workflows/ci.yml vendored Normal file
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@ -0,0 +1,52 @@
name: "Async API tests"
on:
push:
branches:
- dev
paths:
- "tests/**"
- "src/backend/**"
- "pyproject.toml"
pull_request:
branches:
- dev
- main
paths:
- "tests/**"
- "src/backend/**"
- "pyproject.toml"
jobs:
build-and-test:
runs-on: ubuntu-latest
env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
steps:
- name: Checkout code
uses: actions/checkout@v2
- name: Cache Docker layers
uses: actions/cache@v2
with:
path: /tmp/.buildx-cache
key: ${{ runner.os }}-buildx-${{ github.sha }}
restore-keys: |
${{ runner.os }}-buildx-
- name: Set up Docker
run: docker --version && docker-compose --version
- name: "Create env file"
working-directory: ./deploy
run: |
echo "${{ secrets.ENV_FILE }}" > .env
- name: Build and start services
working-directory: ./deploy
run: docker compose up --exit-code-from tests tests result_backend broker celeryworker db --build
continue-on-error: true
- name: Stop services
run: docker compose down

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@ -3,7 +3,16 @@ name: lint
on:
push:
branches: [main]
paths:
- "tests/**"
- "src/backend/**"
- "pyproject.toml"
pull_request:
paths:
- "tests/**"
- "src/backend/**"
- "pyproject.toml"
env:
POETRY_VERSION: "1.4.0"

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@ -45,11 +45,3 @@ jobs:
POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }}
run: |
poetry publish
- name: Trigger build and push on langchain-serve
uses: peter-evans/repository-dispatch@v2
with:
token: ${{ secrets.SERVE_GITHUB_TOKEN }}
repository: jina-ai/langchain-serve
event-type: langflow-push
client-payload: '{"push_token": "${{ secrets.LCSERVE_PUSH_TOKEN }}", "branch": "main"}'

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@ -1,17 +0,0 @@
name: Trigger build and push on langchain-serve
on:
workflow_dispatch:
jobs:
build:
runs-on: ubuntu-latest
steps:
- name: Trigger build and push on langchain-serve
uses: peter-evans/repository-dispatch@v2
with:
token: ${{ secrets.SERVE_GITHUB_TOKEN }}
repository: jina-ai/langchain-serve
event-type: langflow-push
client-payload: '{"push_token": "${{ secrets.LCSERVE_PUSH_TOKEN }}", "branch": "dev"}'

View file

@ -3,11 +3,19 @@ name: test
on:
push:
branches: [main]
paths:
- "tests/**"
- "src/backend/**"
- "pyproject.toml"
pull_request:
branches: [dev]
paths:
- "tests/**"
- "src/backend/**"
- "pyproject.toml"
env:
POETRY_VERSION: "1.4.0"
POETRY_VERSION: "1.5.0"
jobs:
build:
@ -16,6 +24,8 @@ jobs:
matrix:
python-version:
- "3.10"
env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
steps:
- uses: actions/checkout@v3
- name: Install poetry

1
.gitignore vendored
View file

@ -254,3 +254,4 @@ langflow.db
/tmp/*
src/backend/langflow/frontend/
.docker

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@ -12,4 +12,4 @@ WORKDIR $HOME/app
COPY --chown=user . $HOME/app
RUN pip install langflow>==0.0.86 -U --user
CMD ["python", "-m", "langflow", "--host", "0.0.0.0", "--port", "7860"]
CMD ["python", "-m", "langflow", "run", "--host", "0.0.0.0", "--port", "7860"]

View file

@ -20,7 +20,10 @@ coverage:
tests:
@make install_backend
poetry run pytest tests -n auto
poetry run pytest tests
tests_frontend:
cd src/frontend && ./run-tests.sh
format:
poetry run black .
@ -53,19 +56,25 @@ setup_devcontainer:
poetry run langflow --path src/frontend/build
frontend:
make install_frontend
make run_frontend
@-make install_frontend || (echo "An error occurred while installing frontend dependencies. Attempting to fix." && make install_frontendc)
@make run_frontend
frontendc:
make install_frontendc
make run_frontend
install_backend:
poetry install
poetry install --extras deploy
backend:
make install_backend
poetry run uvicorn --factory src.backend.langflow.main:create_app --port 7860 --reload --log-level debug
ifeq ($(login),1)
@echo "Running backend without autologin";
poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser
else
@echo "Running backend with autologin";
LANGFLOW_AUTO_LOGIN=True poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser
endif
build_and_run:
echo 'Removing dist folder'
@ -87,17 +96,6 @@ build:
poetry build --format sdist
rm -rf src/backend/langflow/frontend
lcserve_push:
make build_frontend
@version=$$(poetry version --short); \
lc-serve push --app langflow.lcserve:app --app-dir . \
--image-name langflow --image-tag $${version} --verbose --public
lcserve_deploy:
@:$(if $(uses),,$(error `uses` is not set. Please run `make uses=... lcserve_deploy`))
lc-serve deploy jcloud --app langflow.lcserve:app --app-dir . \
--uses $(uses) --config src/backend/langflow/jcloud.yml --verbose
dev:
make install_frontend
ifeq ($(build),1)

120
README.md
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@ -19,7 +19,7 @@
</p>
<a href="https://github.com/logspace-ai/langflow">
<img width="100%" src="https://github.com/logspace-ai/langflow/blob/main/img/langflow-demo.gif?raw=true"></a>
<img width="100%" src="https://github.com/logspace-ai/langflow/blob/dev/img/langflow-demo.gif?raw=true"></a>
<p>
</p>
@ -36,8 +36,6 @@
- [Environment Variables](#environment-variables)
- [Deployment](#deployment)
- [Deploy Langflow on Google Cloud Platform](#deploy-langflow-on-google-cloud-platform)
- [Deploy Langflow on Jina AI Cloud](#deploy-langflow-on-jina-ai-cloud)
- [API Usage](#api-usage)
- [Deploy on Railway](#deploy-on-railway)
- [Deploy on Render](#deploy-on-render)
- [🎨 Creating Flows](#-creating-flows)
@ -78,7 +76,7 @@ python -m langflow
or
```shell
langflow # or langflow --help
langflow run # or langflow --help
```
### HuggingFace Spaces
@ -94,7 +92,7 @@ Langflow provides a command-line interface (CLI) for easy management and configu
You can run the Langflow using the following command:
```shell
langflow [OPTIONS]
langflow run [OPTIONS]
```
Each option is detailed below:
@ -110,7 +108,6 @@ Each option is detailed below:
- `--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`.
- `--log-file`: Specifies the path to the log file. Can be set using the `LANGFLOW_LOG_FILE` environment variable. The default is `logs/langflow.log`.
- `--cache`: Selects the type of cache to use. Options are `InMemoryCache` and `SQLiteCache`. Can be set using the `LANGFLOW_LANGCHAIN_CACHE` environment variable. The default is `SQLiteCache`.
- `--jcloud/--no-jcloud`: Toggles the option to deploy on Jina AI Cloud. The default is `no-jcloud`.
- `--dev/--no-dev`: Toggles the development mode. The default is `no-dev`.
- `--path`: Specifies the path to the frontend directory containing build files. This option is for development purposes only. Can be set using the `LANGFLOW_FRONTEND_PATH` environment variable.
- `--open-browser/--no-open-browser`: Toggles the option to open the browser after starting the server. Can be set using the `LANGFLOW_OPEN_BROWSER` environment variable. The default is `open-browser`.
@ -134,115 +131,6 @@ Alternatively, click the **"Open in Cloud Shell"** button below to launch Google
[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial_spot.md)
## Deploy Langflow on [Jina AI Cloud](https://github.com/jina-ai/langchain-serve)
Langflow integrates with langchain-serve to provide a one-command deployment to Jina AI Cloud.
Start by installing `langchain-serve` with
```bash
pip install langflow[deploy]
# or
pip install -U langchain-serve
```
Then, run:
```bash
langflow --jcloud
```
```text
🎉 Langflow server successfully deployed on Jina AI Cloud 🎉
🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://<your-app>.wolf.jina.ai/
📖 Read more about managing the server: https://github.com/jina-ai/langchain-serve
```
<details>
<summary>Show complete (example) output</summary>
```text
🚀 Deploying Langflow server on Jina AI Cloud
╭───────────────────────── 🎉 Flow is available! ──────────────────────────╮
│ │
│ ID langflow-e3dd8820ec │
│ Gateway (Websocket) wss://langflow-e3dd8820ec.wolf.jina.ai │
│ Dashboard https://dashboard.wolf.jina.ai/flow/e3dd8820ec │
│ │
╰──────────────────────────────────────────────────────────────────────────╯
╭──────────────┬──────────────────────────────────────────────────────────────────────────────╮
│ App ID │ langflow-e3dd8820ec │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Phase │ Serving │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Endpoint │ wss://langflow-e3dd8820ec.wolf.jina.ai │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ App logs │ dashboards.wolf.jina.ai │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Swagger UI │ https://langflow-e3dd8820ec.wolf.jina.ai/docs │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ OpenAPI JSON │ https://langflow-e3dd8820ec.wolf.jina.ai/openapi.json │
╰──────────────┴──────────────────────────────────────────────────────────────────────────────╯
🎉 Langflow server successfully deployed on Jina AI Cloud 🎉
🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://langflow-e3dd8820ec.wolf.jina.ai/
📖 Read more about managing the server: https://github.com/jina-ai/langchain-serve
```
</details>
#### API Usage
You can use Langflow directly on your browser, or use the API endpoints on Jina AI Cloud to interact with the server.
<details>
<summary>Show API usage (with python)</summary>
```python
import requests
BASE_API_URL = "https://langflow-e3dd8820ec.wolf.jina.ai/api/v1/predict"
FLOW_ID = "864c4f98-2e59-468b-8e13-79cd8da07468"
# You can tweak the flow by adding a tweaks dictionary
# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
TWEAKS = {
"ChatOpenAI-g4jEr": {},
"ConversationChain-UidfJ": {}
}
def run_flow(message: str, flow_id: str, tweaks: dict = None) -> dict:
"""
Run a flow with a given message and optional tweaks.
:param message: The message to send to the flow
:param flow_id: The ID of the flow to run
:param tweaks: Optional tweaks to customize the flow
:return: The JSON response from the flow
"""
api_url = f"{BASE_API_URL}/{flow_id}"
payload = {"message": message}
if tweaks:
payload["tweaks"] = tweaks
response = requests.post(api_url, json=payload)
return response.json()
# Setup any tweaks you want to apply to the flow
print(run_flow("Your message", flow_id=FLOW_ID, tweaks=TWEAKS))
```
```json
{
"result": "Great choice! Bangalore in the 1920s was a vibrant city with a rich cultural and political scene. Here are some suggestions for things to see and do:\n\n1. Visit the Bangalore Palace - built in 1887, this stunning palace is a perfect example of Tudor-style architecture. It was home to the Maharaja of Mysore and is now open to the public.\n\n2. Attend a performance at the Ravindra Kalakshetra - this cultural center was built in the 1920s and is still a popular venue for music and dance performances.\n\n3. Explore the neighborhoods of Basavanagudi and Malleswaram - both of these areas have retained much of their old-world charm and are great places to walk around and soak up the atmosphere.\n\n4. Check out the Bangalore Club - founded in 1868, this exclusive social club was a favorite haunt of the British expat community in the 1920s.\n\n5. Attend a meeting of the Indian National Congress - founded in 1885, the INC was a major force in the Indian independence movement and held many meetings and rallies in Bangalore in the 1920s.\n\nHope you enjoy your trip to 1920s Bangalore!"
}
```
</details>
> Read more about resource customization, cost, and management of Langflow apps on Jina AI Cloud in the **[langchain-serve](https://github.com/jina-ai/langchain-serve)** repository.
## Deploy on Railway
[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/template/JMXEWp?referralCode=MnPSdg)
@ -255,7 +143,7 @@ print(run_flow("Your message", flow_id=FLOW_ID, tweaks=TWEAKS))
# 🎨 Creating Flows
Creating flows with Langflow is easy. Simply drag sidebar components onto the canvas and connect them together to create your pipeline. Langflow provides a range of [LangChain components](https://langchain.readthedocs.io/en/latest/reference.html) to choose from, including LLMs, prompt serializers, agents, and chains.
Creating flows with Langflow is easy. Simply drag sidebar components onto the canvas and connect them together to create your pipeline. Langflow provides a range of [LangChain components](https://docs.langchain.com/docs/category/components) to choose from, including LLMs, prompt serializers, agents, and chains.
Explore by editing prompt parameters, link chains and agents, track an agent's thought process, and export your flow.

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base.Dockerfile Normal file
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@ -0,0 +1,97 @@
# 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=1.5.1 \
# 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=

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deploy/.env.example Normal file
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@ -0,0 +1,57 @@
DOMAIN=localhost
STACK_NAME=langflow-stack
ENVIRONMENT=development
TRAEFIK_PUBLIC_NETWORK=traefik-public
TRAEFIK_TAG=langflow-traefik
TRAEFIK_PUBLIC_TAG=traefik-public
# RabbitMQ configuration
RABBITMQ_DEFAULT_USER=langflow
RABBITMQ_DEFAULT_PASS=langflow
# Database configuration
DB_USER=langflow
DB_PASSWORD=langflow
DB_HOST=db
DB_PORT=5432
DB_NAME=langflow
# Logging configuration
LOG_LEVEL=debug
# DB configuration
POSTGRES_USER=langflow
POSTGRES_PASSWORD=langflow
POSTGRES_DB=langflow
POSTGRES_PORT=5432
# Flower configuration
LANGFLOW_CACHE_TYPE=redis
LANGFLOW_REDIS_HOST=result_backend
LANGFLOW_REDIS_PORT=6379
LANGFLOW_REDIS_DB=0
LANGFLOW_REDIS_EXPIRE=3600
LANGFLOW_REDIS_PASSWORD=
FLOWER_UNAUTHENTICATED_API=True
BROKER_URL=amqp://langflow:langflow@broker:5672
RESULT_BACKEND=redis://result_backend:6379/0
C_FORCE_ROOT="true"
# Frontend configuration
VITE_PROXY_TARGET=http://backend:7860/api/
BACKEND_URL=http://backend:7860
# PGAdmin configuration
PGADMIN_DEFAULT_EMAIL=admin@admin.com
PGADMIN_DEFAULT_PASSWORD=admin
# OpenAI configuration (for testing purposes)
OPENAI_API_KEY=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
# Superuser configuration
LANGFLOW_SUPERUSER=superuser
LANGFLOW_SUPERUSER_PASSWORD=superuser
# New user configuration
LANGFLOW_NEW_USER_IS_ACTIVE=False

1
deploy/.gitignore vendored Normal file
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@ -0,0 +1 @@
pgadmin

92
deploy/base.Dockerfile Normal file
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@ -0,0 +1,92 @@
# 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=1.5.1 \
# 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 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
COPY ./tests ./tests

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@ -0,0 +1,67 @@
version: "3.8"
services:
proxy:
ports:
- "80:80"
- "8090:8080"
command:
# Enable Docker in Traefik, so that it reads labels from Docker services
- --providers.docker
# Add a constraint to only use services with the label for this stack
# from the env var TRAEFIK_TAG
- --providers.docker.constraints=Label(`traefik.constraint-label-stack`, `${TRAEFIK_TAG?Variable not set}`)
# Do not expose all Docker services, only the ones explicitly exposed
- --providers.docker.exposedbydefault=false
# Disable Docker Swarm mode for local development
# - --providers.docker.swarmmode
# Enable the access log, with HTTP requests
- --accesslog
# Enable the Traefik log, for configurations and errors
- --log
# Enable the Dashboard and API
- --api
# Enable the Dashboard and API in insecure mode for local development
- --api.insecure=true
labels:
- traefik.enable=true
- traefik.http.routers.${STACK_NAME?Variable not set}-traefik-public-http.rule=Host(`${DOMAIN?Variable not set}`)
- traefik.http.services.${STACK_NAME?Variable not set}-traefik-public.loadbalancer.server.port=80
result_backend:
ports:
- "6379:6379"
pgadmin:
ports:
- "5050:5050"
flower:
ports:
- "5555:5555"
backend:
labels:
- traefik.enable=true
- traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set}
- traefik.http.routers.${STACK_NAME?Variable not set}-backend-http.rule=PathPrefix(`/api/v1`) || PathPrefix(`/docs`) || PathPrefix(`/health`)
- traefik.http.services.${STACK_NAME?Variable not set}-backend.loadbalancer.server.port=7860
frontend:
labels:
- traefik.enable=true
- traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set}
- traefik.http.routers.${STACK_NAME?Variable not set}-frontend-http.rule=PathPrefix(`/`)
- traefik.http.services.${STACK_NAME?Variable not set}-frontend.loadbalancer.server.port=80
celeryworker:
labels:
- traefik.enable=true
- traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set}
- traefik.http.routers.${STACK_NAME?Variable not set}-celeryworker-http.rule=PathPrefix(`/api/v1`) || PathPrefix(`/docs`) || PathPrefix(`/health`)
- traefik.http.services.${STACK_NAME?Variable not set}-celeryworker.loadbalancer.server.port=7860
networks:
traefik-public:
# For local dev, don't expect an external Traefik network
external: false

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@ -0,0 +1,277 @@
version: "3.8"
services:
proxy:
image: traefik:v3.0
env_file:
- .env
networks:
- ${TRAEFIK_PUBLIC_NETWORK?Variable not set}
- default
volumes:
- /var/run/docker.sock:/var/run/docker.sock
command:
# Enable Docker in Traefik, so that it reads labels from Docker services
- --providers.docker
# Add a constraint to only use services with the label for this stack
# from the env var TRAEFIK_TAG
- --providers.docker.constraints=Label(`traefik.constraint-label-stack`, `${TRAEFIK_TAG?Variable not set}`)
# Do not expose all Docker services, only the ones explicitly exposed
- --providers.docker.exposedbydefault=false
# Enable the access log, with HTTP requests
- --accesslog
# Enable the Traefik log, for configurations and errors
- --log
# Enable the Dashboard and API
- --api
deploy:
placement:
constraints:
- node.role == manager
labels:
# Enable Traefik for this service, to make it available in the public network
- traefik.enable=true
# Use the traefik-public network (declared below)
- traefik.docker.network=${TRAEFIK_PUBLIC_NETWORK?Variable not set}
# Use the custom label "traefik.constraint-label=traefik-public"
# This public Traefik will only use services with this label
- traefik.constraint-label=${TRAEFIK_PUBLIC_TAG?Variable not set}
# traefik-http set up only to use the middleware to redirect to https
- traefik.http.middlewares.${STACK_NAME?Variable not set}-https-redirect.redirectscheme.scheme=https
- traefik.http.middlewares.${STACK_NAME?Variable not set}-https-redirect.redirectscheme.permanent=true
# Handle host with and without "www" to redirect to only one of them
# Uses environment variable DOMAIN
# To disable www redirection remove the Host() you want to discard, here and
# below for HTTPS
- traefik.http.routers.${STACK_NAME?Variable not set}-proxy-http.rule=Host(`${DOMAIN?Variable not set}`) || Host(`www.${DOMAIN?Variable not set}`)
- traefik.http.routers.${STACK_NAME?Variable not set}-proxy-http.entrypoints=http
# traefik-https the actual router using HTTPS
- traefik.http.routers.${STACK_NAME?Variable not set}-proxy-https.rule=Host(`${DOMAIN?Variable not set}`) || Host(`www.${DOMAIN?Variable not set}`)
- traefik.http.routers.${STACK_NAME?Variable not set}-proxy-https.entrypoints=https
- traefik.http.routers.${STACK_NAME?Variable not set}-proxy-https.tls=true
# Use the "le" (Let's Encrypt) resolver created below
- traefik.http.routers.${STACK_NAME?Variable not set}-proxy-https.tls.certresolver=le
# Define the port inside of the Docker service to use
- traefik.http.services.${STACK_NAME?Variable not set}-proxy.loadbalancer.server.port=80
# Handle domain with and without "www" to redirect to only one
# To disable www redirection remove the next line
- traefik.http.middlewares.${STACK_NAME?Variable not set}-www-redirect.redirectregex.regex=^https?://(www.)?(${DOMAIN?Variable not set})/(.*)
# Redirect a domain with www to non-www
# To disable it remove the next line
- traefik.http.middlewares.${STACK_NAME?Variable not set}-www-redirect.redirectregex.replacement=https://${DOMAIN?Variable not set}/$${3}
# Redirect a domain without www to www
# To enable it remove the previous line and uncomment the next
# - traefik.http.middlewares.${STACK_NAME}-www-redirect.redirectregex.replacement=https://www.${DOMAIN}/$${3}
# Middleware to redirect www, to disable it remove the next line
- traefik.http.routers.${STACK_NAME?Variable not set}-proxy-https.middlewares=${STACK_NAME?Variable not set}-www-redirect
# Middleware to redirect www, and redirect HTTP to HTTPS
# to disable www redirection remove the section: ${STACK_NAME?Variable not set}-www-redirect,
- traefik.http.routers.${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
depends_on:
- db
- broker
- result_backend
env_file:
- .env
volumes:
- ../:/app
- ./startup-backend.sh:/startup-backend.sh # Ensure the paths match
command: /startup-backend.sh # Fixed the path
healthcheck:
test: "exit 0"
deploy:
labels:
- traefik.enable=true
- traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set}
- traefik.http.routers.${STACK_NAME?Variable not set}-backend-http.rule=PathPrefix(`/api/v1`) || PathPrefix(`/docs`) || PathPrefix(`/health`)
- traefik.http.services.${STACK_NAME?Variable not set}-backend.loadbalancer.server.port=7860
db:
image: postgres:15.4
volumes:
- app-db-data:/var/lib/postgresql/data/pgdata
environment:
- PGDATA=/var/lib/postgresql/data/pgdata
deploy:
placement:
constraints:
- node.labels.app-db-data == true
healthcheck:
test: "exit 0"
env_file:
- .env
pgadmin:
image: dpage/pgadmin4
networks:
- ${TRAEFIK_PUBLIC_NETWORK?Variable not set}
- default
volumes:
- pgadmin-data:/var/lib/pgadmin
env_file:
- .env
deploy:
labels:
- traefik.enable=true
- traefik.docker.network=${TRAEFIK_PUBLIC_NETWORK?Variable not set}
- traefik.constraint-label=${TRAEFIK_PUBLIC_TAG?Variable not set}
- traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-http.rule=Host(`pgadmin.${DOMAIN?Variable not set}`)
- traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-http.entrypoints=http
- traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-http.middlewares=${STACK_NAME?Variable not set}-https-redirect
- traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-https.rule=Host(`pgadmin.${DOMAIN?Variable not set}`)
- traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-https.entrypoints=https
- traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-https.tls=true
- traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-https.tls.certresolver=le
- traefik.http.services.${STACK_NAME?Variable not set}-pgadmin.loadbalancer.server.port=5050
result_backend:
image: redis:6.2.5
env_file:
- .env
# ports:
# - 6379:6379
healthcheck:
test: "exit 0"
celeryworker:
<<: *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
healthcheck:
test: "exit 0"
deploy:
replicas: 1
flower:
<<: *backend
env_file:
- .env
networks:
- default
build:
context: ../
dockerfile: base.Dockerfile
environment:
- FLOWER_PORT=5555
command: /bin/sh -c "celery -A langflow.worker.celery_app --broker=${BROKER_URL?Variable not set} flower --port=5555"
deploy:
labels:
- traefik.enable=true
- traefik.docker.network=${TRAEFIK_PUBLIC_NETWORK?Variable not set}
- traefik.constraint-label=${TRAEFIK_PUBLIC_TAG?Variable not set}
- traefik.http.routers.${STACK_NAME?Variable not set}-flower-http.rule=Host(`flower.${DOMAIN?Variable not set}`)
- traefik.http.routers.${STACK_NAME?Variable not set}-flower-http.entrypoints=http
- traefik.http.routers.${STACK_NAME?Variable not set}-flower-http.middlewares=${STACK_NAME?Variable not set}-https-redirect
- traefik.http.routers.${STACK_NAME?Variable not set}-flower-https.rule=Host(`flower.${DOMAIN?Variable not set}`)
- traefik.http.routers.${STACK_NAME?Variable not set}-flower-https.entrypoints=https
- traefik.http.routers.${STACK_NAME?Variable not set}-flower-https.tls=true
- traefik.http.routers.${STACK_NAME?Variable not set}-flower-https.tls.certresolver=le
- traefik.http.services.${STACK_NAME?Variable not set}-flower.loadbalancer.server.port=5555
frontend:
image: "ogabrielluiz/langflow_frontend:latest"
env_file:
- .env
# user: your-non-root-user
build:
context: ../src/frontend
dockerfile: Dockerfile
args:
- BACKEND_URL=http://backend:7860
restart: on-failure
deploy:
labels:
- traefik.enable=true
- traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set}
- traefik.http.routers.${STACK_NAME?Variable not set}-frontend-http.rule=PathPrefix(`/`)
- traefik.http.services.${STACK_NAME?Variable not set}-frontend.loadbalancer.server.port=80
broker:
# RabbitMQ management console
image: rabbitmq:3-management
environment:
- RABBITMQ_DEFAULT_USER=${RABBITMQ_DEFAULT_USER:-admin}
- RABBITMQ_DEFAULT_PASS=${RABBITMQ_DEFAULT_PASS:-admin}
volumes:
- rabbitmq_data:/etc/rabbitmq/
- rabbitmq_data:/var/lib/rabbitmq/
- rabbitmq_log:/var/log/rabbitmq/
ports:
- 5672:5672
- 15672:15672
prometheus:
image: prom/prometheus:v2.37.9
env_file:
- .env
volumes:
- ./prometheus.yml:/etc/prometheus/prometheus.yml
command:
- "--config.file=/etc/prometheus/prometheus.yml"
# ports:
# - 9090:9090
healthcheck:
test: "exit 0"
deploy:
labels:
- traefik.enable=true
- traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set}
- traefik.http.routers.${STACK_NAME?Variable not set}-prometheus-http.rule=PathPrefix(`/metrics`)
- traefik.http.services.${STACK_NAME?Variable not set}-prometheus.loadbalancer.server.port=9090
grafana:
image: grafana/grafana:8.2.6
env_file:
- .env
# ports:
# - 3000:3000
volumes:
- grafana_data:/var/lib/grafana
deploy:
labels:
- traefik.enable=true
- traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set}
- traefik.http.routers.${STACK_NAME?Variable not set}-grafana-http.rule=PathPrefix(`/grafana`)
- traefik.http.services.${STACK_NAME?Variable not set}-grafana.loadbalancer.server.port=3000
tests:
extends:
file: docker-compose.yml
service: backend
env_file:
- .env
build:
context: ../
dockerfile: base.Dockerfile
command: pytest -vv
healthcheck:
test: "exit 0"
# override deploy labels to avoid conflicts with the backend service
labels:
- traefik.enable=true
- traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set}
- traefik.http.routers.${STACK_NAME?Variable not set}-tests-http.rule=PathPrefix(`/api/v1`) || PathPrefix(`/docs`) || PathPrefix(`/health`)
- traefik.http.services.${STACK_NAME?Variable not set}-tests.loadbalancer.server.port=7861
volumes:
grafana_data:
app-db-data:
rabbitmq_data:
rabbitmq_log:
pgadmin-data:
networks:
traefik-public:
# Allow setting it to false for testing
external: false # ${TRAEFIK_PUBLIC_NETWORK_IS_EXTERNAL-true}

258
deploy/docker-compose.yml Normal file
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@ -0,0 +1,258 @@
version: "3.8"
services:
proxy:
image: traefik:v3.0
env_file:
- .env
networks:
- ${TRAEFIK_PUBLIC_NETWORK?Variable not set}
- default
volumes:
- /var/run/docker.sock:/var/run/docker.sock
command:
# Enable Docker in Traefik, so that it reads labels from Docker services
- --providers.docker
# Add a constraint to only use services with the label for this stack
# from the env var TRAEFIK_TAG
- --providers.docker.constraints=Label(`traefik.constraint-label-stack`, `${TRAEFIK_TAG?Variable not set}`)
# Do not expose all Docker services, only the ones explicitly exposed
- --providers.docker.exposedbydefault=false
# Enable the access log, with HTTP requests
- --accesslog
# Enable the Traefik log, for configurations and errors
- --log
# Enable the Dashboard and API
- --api
deploy:
placement:
constraints:
- node.role == manager
labels:
# Enable Traefik for this service, to make it available in the public network
- traefik.enable=true
# Use the traefik-public network (declared below)
- traefik.docker.network=${TRAEFIK_PUBLIC_NETWORK?Variable not set}
# Use the custom label "traefik.constraint-label=traefik-public"
# This public Traefik will only use services with this label
- traefik.constraint-label=${TRAEFIK_PUBLIC_TAG?Variable not set}
# traefik-http set up only to use the middleware to redirect to https
- traefik.http.middlewares.${STACK_NAME?Variable not set}-https-redirect.redirectscheme.scheme=https
- traefik.http.middlewares.${STACK_NAME?Variable not set}-https-redirect.redirectscheme.permanent=true
# Handle host with and without "www" to redirect to only one of them
# Uses environment variable DOMAIN
# To disable www redirection remove the Host() you want to discard, here and
# below for HTTPS
- traefik.http.routers.${STACK_NAME?Variable not set}-proxy-http.rule=Host(`${DOMAIN?Variable not set}`) || Host(`www.${DOMAIN?Variable not set}`)
- traefik.http.routers.${STACK_NAME?Variable not set}-proxy-http.entrypoints=http
# traefik-https the actual router using HTTPS
- traefik.http.routers.${STACK_NAME?Variable not set}-proxy-https.rule=Host(`${DOMAIN?Variable not set}`) || Host(`www.${DOMAIN?Variable not set}`)
- traefik.http.routers.${STACK_NAME?Variable not set}-proxy-https.entrypoints=https
- traefik.http.routers.${STACK_NAME?Variable not set}-proxy-https.tls=true
# Use the "le" (Let's Encrypt) resolver created below
- traefik.http.routers.${STACK_NAME?Variable not set}-proxy-https.tls.certresolver=le
# Define the port inside of the Docker service to use
- traefik.http.services.${STACK_NAME?Variable not set}-proxy.loadbalancer.server.port=80
# Handle domain with and without "www" to redirect to only one
# To disable www redirection remove the next line
- traefik.http.middlewares.${STACK_NAME?Variable not set}-www-redirect.redirectregex.regex=^https?://(www.)?(${DOMAIN?Variable not set})/(.*)
# Redirect a domain with www to non-www
# To disable it remove the next line
- traefik.http.middlewares.${STACK_NAME?Variable not set}-www-redirect.redirectregex.replacement=https://${DOMAIN?Variable not set}/$${3}
# Redirect a domain without www to www
# To enable it remove the previous line and uncomment the next
# - traefik.http.middlewares.${STACK_NAME}-www-redirect.redirectregex.replacement=https://www.${DOMAIN}/$${3}
# Middleware to redirect www, to disable it remove the next line
- traefik.http.routers.${STACK_NAME?Variable not set}-proxy-https.middlewares=${STACK_NAME?Variable not set}-www-redirect
# Middleware to redirect www, and redirect HTTP to HTTPS
# to disable www redirection remove the section: ${STACK_NAME?Variable not set}-www-redirect,
- traefik.http.routers.${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
depends_on:
- db
- broker
- result_backend
env_file:
- .env
volumes:
- ../:/app
- ./startup-backend.sh:/startup-backend.sh # Ensure the paths match
command: /startup-backend.sh # Fixed the path
healthcheck:
test: "exit 0"
deploy:
labels:
- traefik.enable=true
- traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set}
- traefik.http.routers.${STACK_NAME?Variable not set}-backend-http.rule=PathPrefix(`/api/v1`) || PathPrefix(`/docs`) || PathPrefix(`/health`)
- traefik.http.services.${STACK_NAME?Variable not set}-backend.loadbalancer.server.port=7860
db:
image: postgres:15.4
volumes:
- app-db-data:/var/lib/postgresql/data/pgdata
environment:
- PGDATA=/var/lib/postgresql/data/pgdata
deploy:
placement:
constraints:
- node.labels.app-db-data == true
healthcheck:
test: "exit 0"
env_file:
- .env
pgadmin:
image: dpage/pgadmin4
networks:
- ${TRAEFIK_PUBLIC_NETWORK?Variable not set}
- default
volumes:
- pgadmin-data:/var/lib/pgadmin
env_file:
- .env
deploy:
labels:
- traefik.enable=true
- traefik.docker.network=${TRAEFIK_PUBLIC_NETWORK?Variable not set}
- traefik.constraint-label=${TRAEFIK_PUBLIC_TAG?Variable not set}
- traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-http.rule=Host(`pgadmin.${DOMAIN?Variable not set}`)
- traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-http.entrypoints=http
- traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-http.middlewares=${STACK_NAME?Variable not set}-https-redirect
- traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-https.rule=Host(`pgadmin.${DOMAIN?Variable not set}`)
- traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-https.entrypoints=https
- traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-https.tls=true
- traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-https.tls.certresolver=le
- traefik.http.services.${STACK_NAME?Variable not set}-pgadmin.loadbalancer.server.port=5050
result_backend:
image: redis:6.2.5
env_file:
- .env
# ports:
# - 6379:6379
healthcheck:
test: "exit 0"
celeryworker:
<<: *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
healthcheck:
test: "exit 0"
deploy:
replicas: 1
flower:
<<: *backend
env_file:
- .env
networks:
- default
build:
context: ../
dockerfile: base.Dockerfile
environment:
- FLOWER_PORT=5555
command: /bin/sh -c "celery -A langflow.worker.celery_app --broker=${BROKER_URL?Variable not set} flower --port=5555"
deploy:
labels:
- traefik.enable=true
- traefik.docker.network=${TRAEFIK_PUBLIC_NETWORK?Variable not set}
- traefik.constraint-label=${TRAEFIK_PUBLIC_TAG?Variable not set}
- traefik.http.routers.${STACK_NAME?Variable not set}-flower-http.rule=Host(`flower.${DOMAIN?Variable not set}`)
- traefik.http.routers.${STACK_NAME?Variable not set}-flower-http.entrypoints=http
- traefik.http.routers.${STACK_NAME?Variable not set}-flower-http.middlewares=${STACK_NAME?Variable not set}-https-redirect
- traefik.http.routers.${STACK_NAME?Variable not set}-flower-https.rule=Host(`flower.${DOMAIN?Variable not set}`)
- traefik.http.routers.${STACK_NAME?Variable not set}-flower-https.entrypoints=https
- traefik.http.routers.${STACK_NAME?Variable not set}-flower-https.tls=true
- traefik.http.routers.${STACK_NAME?Variable not set}-flower-https.tls.certresolver=le
- traefik.http.services.${STACK_NAME?Variable not set}-flower.loadbalancer.server.port=5555
frontend:
image: "ogabrielluiz/langflow_frontend:latest"
env_file:
- .env
# user: your-non-root-user
build:
context: ../src/frontend
dockerfile: Dockerfile
args:
- BACKEND_URL=http://backend:7860
restart: on-failure
deploy:
labels:
- traefik.enable=true
- traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set}
- traefik.http.routers.${STACK_NAME?Variable not set}-frontend-http.rule=PathPrefix(`/`)
- traefik.http.services.${STACK_NAME?Variable not set}-frontend.loadbalancer.server.port=80
broker:
# RabbitMQ management console
image: rabbitmq:3-management
environment:
- RABBITMQ_DEFAULT_USER=${RABBITMQ_DEFAULT_USER:-admin}
- RABBITMQ_DEFAULT_PASS=${RABBITMQ_DEFAULT_PASS:-admin}
volumes:
- rabbitmq_data:/etc/rabbitmq/
- rabbitmq_data:/var/lib/rabbitmq/
- rabbitmq_log:/var/log/rabbitmq/
ports:
- 5672:5672
- 15672:15672
prometheus:
image: prom/prometheus:v2.37.9
env_file:
- .env
volumes:
- ./prometheus.yml:/etc/prometheus/prometheus.yml
command:
- "--config.file=/etc/prometheus/prometheus.yml"
# ports:
# - 9090:9090
healthcheck:
test: "exit 0"
deploy:
labels:
- traefik.enable=true
- traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set}
- traefik.http.routers.${STACK_NAME?Variable not set}-prometheus-http.rule=PathPrefix(`/metrics`)
- traefik.http.services.${STACK_NAME?Variable not set}-prometheus.loadbalancer.server.port=9090
grafana:
image: grafana/grafana:8.2.6
env_file:
- .env
# ports:
# - 3000:3000
volumes:
- grafana_data:/var/lib/grafana
deploy:
labels:
- traefik.enable=true
- traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set}
- traefik.http.routers.${STACK_NAME?Variable not set}-grafana-http.rule=PathPrefix(`/grafana`)
- traefik.http.services.${STACK_NAME?Variable not set}-grafana.loadbalancer.server.port=3000
volumes:
grafana_data:
app-db-data:
rabbitmq_data:
rabbitmq_log:
pgadmin-data:
networks:
traefik-public:
# Allow setting it to false for testing
external: false # ${TRAEFIK_PUBLIC_NETWORK_IS_EXTERNAL-true}

11
deploy/prometheus.yml Normal file
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@ -0,0 +1,11 @@
global:
scrape_interval: 15s
evaluation_interval: 15s
scrape_configs:
- job_name: prometheus
static_configs:
- targets: ["prometheus:9090"]
- job_name: flower
static_configs:
- targets: ["flower:5555"]

17
deploy/startup-backend.sh Executable file
View file

@ -0,0 +1,17 @@
#!/bin/bash
export LANGFLOW_DATABASE_URL="postgresql://${DB_USER}:${DB_PASSWORD}@${DB_HOST}:${DB_PORT}/${DB_NAME}"
# Your command to start the backend
# If the ENVIRONMENT variable is set to "development", then start the backend in development mode
# else start the backend in production mode with guvicorn
if [ "$ENVIRONMENT" = "development" ]; then
echo "Starting backend in development mode"
exec python -m uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --log-level ${LOG_LEVEL:-info} --workers 2 --reload
else
echo "Starting backend in production mode"
exec langflow run --host 0.0.0.0 --port 7860 --log-level ${LOG_LEVEL:-info} --workers -1 --backend-only
fi

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@ -1,101 +0,0 @@
# Deploy on Jina AI Cloud
Langflow integrates with langchain-serve to provide a one-command deployment to [Jina AI Cloud](https://github.com/jina-ai/langchain-serve).
Start by installing `langchain-serve` with
```bash
pip install -U langchain-serve
```
Then, run:
```bash
langflow --jcloud
```
```text
🎉 Langflow server successfully deployed on Jina AI Cloud 🎉
🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://<your-app>.wolf.jina.ai/
📖 Read more about managing the server: https://github.com/jina-ai/langchain-serve
```
**Complete (example) output:**
```text
🚀 Deploying Langflow server on Jina AI Cloud
╭───────────────────────── 🎉 Flow is available! ──────────────────────────╮
│ │
│ ID langflow-e3dd8820ec │
│ Gateway (Websocket) wss://langflow-e3dd8820ec.wolf.jina.ai │
│ Dashboard https://dashboard.wolf.jina.ai/flow/e3dd8820ec │
│ │
╰──────────────────────────────────────────────────────────────────────────╯
╭──────────────┬──────────────────────────────────────────────────────────────────────────────╮
│ App ID │ langflow-e3dd8820ec │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Phase │ Serving │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Endpoint │ wss://langflow-e3dd8820ec.wolf.jina.ai │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ App logs │ dashboards.wolf.jina.ai │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Swagger UI │ https://langflow-e3dd8820ec.wolf.jina.ai/docs │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ OpenAPI JSON │ https://langflow-e3dd8820ec.wolf.jina.ai/openapi.json │
╰──────────────┴──────────────────────────────────────────────────────────────────────────────╯
🎉 Langflow server successfully deployed on Jina AI Cloud 🎉
🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://langflow-e3dd8820ec.wolf.jina.ai/
📖 Read more about managing the server: https://github.com/jina-ai/langchain-serve
```
## API Usage (with python)
You can use Langflow directly on your browser or the API endpoints on Jina AI Cloud to interact with the server.
```python
import requests
BASE_API_URL = "https://langflow-e3dd8820ec.wolf.jina.ai/api/v1/predict"
FLOW_ID = "864c4f98-2e59-468b-8e13-79cd8da07468"
# You can tweak the flow by adding a tweaks dictionary
# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
TWEAKS = {
"ChatOpenAI-g4jEr": {},
"ConversationChain-UidfJ": {}
}
def run_flow(message: str, flow_id: str, tweaks: dict = None) -> dict:
"""
Run a flow with a given message and optional tweaks.
:param message: The message to send to the flow
:param flow_id: The ID of the flow to run
:param tweaks: Optional tweaks to customize the flow
:return: The JSON response from the flow
"""
api_url = f"{BASE_API_URL}/{flow_id}"
payload = {"message": message}
if tweaks:
payload["tweaks"] = tweaks
response = requests.post(api_url, json=payload)
return response.json()
# Setup any tweaks you want to apply to the flow
print(run_flow("Your message", flow_id=FLOW_ID, tweaks=TWEAKS))
```
```json
{
"result": "Great choice! Bangalore in the 1920s was a vibrant city with a rich cultural and political scene. Here are some suggestions for things to see and do:\n\n1. Visit the Bangalore Palace - built in 1887, this stunning palace is a perfect example of Tudor-style architecture. It was home to the Maharaja of Mysore and is now open to the public.\n\n2. Attend a performance at the Ravindra Kalakshetra - this cultural center was built in the 1920s and is still a popular venue for music and dance performances.\n\n3. Explore the neighborhoods of Basavanagudi and Malleswaram - both of these areas have retained much of their old-world charm and are great places to walk around and soak up the atmosphere.\n\n4. Check out the Bangalore Club - founded in 1868, this exclusive social club was a favorite haunt of the British expat community in the 1920s.\n\n5. Attend a meeting of the Indian National Congress - founded in 1885, the INC was a major force in the Indian independence movement and held many meetings and rallies in Bangalore in the 1920s.\n\nHope you enjoy your trip to 1920s Bangalore!"
}
```
:::info
Read more about resource customization, cost, and management of Langflow apps on Jina AI Cloud in the **[langchain-serve](https://github.com/jina-ai/langchain-serve)** repository.
:::

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