Merge branch 'main' into feat-newFreeze

.env.example

@@ -59,8 +59,8 @@ LANGFLOW_OPEN_BROWSER=
 # Example: LANGFLOW_REMOVE_API_KEYS=false
 LANGFLOW_REMOVE_API_KEYS=
 
-# Whether to use RedisCache or InMemoryCache
-# Values: memory, redis
+# Whether to use RedisCache or ThreadingInMemoryCache or AsyncInMemoryCache
+# Values: async, 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)

.github/workflows/docker-build.yml

@@ -137,4 +137,4 @@ jobs:
 
       - name: Restart HuggingFace Spaces Build
         run: |
-          poetry run python ./scripts/factory_restart_space.py --space "Langflow/Langflow-Preview" --token ${{ secrets.HUGGINGFACE_API_TOKEN }}
+          poetry run python ./scripts/factory_restart_space.py --space "Langflow/Langflow" --token ${{ secrets.HUGGINGFACE_API_TOKEN }}

.github/workflows/python_test.yml

@@ -39,6 +39,7 @@ jobs:
           poetry env use ${{ matrix.python-version }}
           poetry install
       - name: Run unit tests
+        timeout-minutes: 12
         run: |
           make unit_tests
       - name: Test CLI

.github/workflows/typescript_test.yml

@@ -110,6 +110,7 @@ jobs:
           cd src/frontend
           npx playwright test --trace on --shard ${{ matrix.shardIndex }}/${{ matrix.shardTotal }} --workers 2
         continue-on-error: true
+        timeout-minutes: 12
 
       # If the test fails, set a flag to indicate that the shard failed
       - name: Set failure flag

.gitignore

@@ -272,3 +272,4 @@ prof/*
 src/frontend/temp
 *-shm
 *-wal
+.history

.vscode/launch.json

@@ -1,6 +1,7 @@
 {
   "version": "0.2.0",
   "configurations": [
+
     {
       "name": "Debug Backend",
       "type": "debugpy",
@@ -22,7 +23,8 @@
       "jinja": true,
       "justMyCode": false,
       "env": {
-        "LANGFLOW_LOG_LEVEL": "debug"
+        "LANGFLOW_LOG_LEVEL": "debug",
+        "LANGFLOW_PROMETHEUS_PORT": "9090"
       },
       "envFile": "${workspaceFolder}/.env"
     },
@@ -38,6 +40,7 @@
         "--env-file",
         "${workspaceFolder}/.env"
       ],
+      // "python": "/path/to/your/python_env/python", // Replace with the path to your Python executable
       "jinja": true,
       "justMyCode": false
     },

README.md

@@ -42,9 +42,13 @@
 
 # 📝 Content
 
+- [](#)
+- [📝 Content](#-content)
 - [📦 Get Started](#-get-started)
 - [🎨 Create Flows](#-create-flows)
 - [Deploy](#deploy)
+  - [DataStax Langflow](#datastax-langflow)
+  - [Deploy Langflow on Hugging Face Spaces](#deploy-langflow-on-hugging-face-spaces)
   - [Deploy Langflow on Google Cloud Platform](#deploy-langflow-on-google-cloud-platform)
   - [Deploy on Railway](#deploy-on-railway)
   - [Deploy on Render](#deploy-on-render)
@@ -64,6 +68,13 @@ You can install Langflow with pip:
 # Make sure you have >=Python 3.10 installed on your system.
 python -m pip install langflow -U
 ```
+Or
+
+If you would like to install from your cloned repo, you can build and install Langflow's frontend and backend with:
+
+```shell
+make install_frontend && make build_frontend && make install_backend
+```
 
 Then, run Langflow with:
 

deploy/.env.example

@@ -1,11 +1,21 @@
 DOMAIN=localhost
 STACK_NAME=langflow-stack
-ENVIRONMENT=development
 
 TRAEFIK_PUBLIC_NETWORK=traefik-public
 TRAEFIK_TAG=langflow-traefik
 TRAEFIK_PUBLIC_TAG=traefik-public
 
+
+# Langflow backend configuration
+LANGFLOW_LOG_LEVEL=debug
+LANGFLOW_SUPERUSER=superuser
+LANGFLOW_SUPERUSER_PASSWORD=superuser
+LANGFLOW_NEW_USER_IS_ACTIVE=False
+
+
+# Langflow frontend configuration
+BACKEND_URL=http://backend:7860
+
 # RabbitMQ configuration
 RABBITMQ_DEFAULT_USER=langflow
 RABBITMQ_DEFAULT_PASS=langflow
@@ -17,17 +27,15 @@ 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
+# Disable until https://github.com/langflow-ai/langflow/pull/2655 gets released
+#LANGFLOW_CACHE_TYPE=redis
 LANGFLOW_REDIS_HOST=result_backend
 LANGFLOW_REDIS_PORT=6379
 LANGFLOW_REDIS_DB=0
@@ -38,20 +46,7 @@ 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=[email protected]
 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

deploy/README.md

@@ -0,0 +1,21 @@
+# Run Langflow
+
+
+## Docker compose
+To run Langflow with Docker compose, you need to have Docker and Docker compose installed on your machine. You can install Docker and Docker compose by following the instructions on the [official Docker documentation](https://docs.docker.com/get-docker/).
+
+The docker-compose file uses `latest` tag; it's recommended to pull the latest version of the images before running the docker-compose file.
+
+```bash
+docker compose pull
+```
+
+To start the Langflow services, run the following command:
+
+```bash
+docker compose up
+```
+
+After running the command, you can access the Langflow services at the following url: http://localhost:80.
+
+Edit the `.env` file to change the port or other configurations.

deploy/docker-compose.override.yml

@@ -1,5 +1,3 @@
-version: "3.8"
-
 services:
   proxy:
     ports: