creating-deployment.py

# ===============================================
# Creating a deployment
# ===============================================

# Let's create a deployment of the `task_maistro` app that we created in module 5.

# ## Code structure

# The following information should be provided to create a LangGraph Platform deployment:

# A LangGraph API Configuration file - langgraph.json
# The graphs that implement the logic of the application - e.g., task_maistro.py
# A file that specifies dependencies required to run the application - requirements.txt
# Supply environment variables needed for the application to run - .env or docker-compose.yml

# ## CLI

# The LangGraph CLI is a command-line interface for creating a LangGraph Platform deployment.

# %%capture --no-stderr
# %pip install -U langgraph-cli

# -----------------------------------------------

# To create a self-hosted deployment, we'll follow a few steps. 

# ### Build Docker Image for LangGraph Server

# First use the langgraph CLI to create a Docker image for the LangGraph Server. 

# This will package our graph and dependencies into a Docker image.

# A Docker image is a template for a Docker container that contains the code and dependencies required to run the application.

# Ensure that Docker is installed and then run the following command to create the Docker image, my-image:

# $ cd module-6/deployment
# $ langgraph build -t my-image

# ### Set Up Redis and PostgreSQL

# If you already have Redis and PostgreSQL running (e.g., locally or on other servers), 
# then create and run the LangGraph Server container by itself with the URIs for Redis and PostgreSQL:

# docker run \
#     --env-file .env \
#     -p 8123:8000 \
#     -e REDIS_URI="foo" \
#     -e DATABASE_URI="bar" \
#     -e LANGSMITH_API_KEY="baz" \
#     my-image


# Alternatively, you can use the provided docker-compose.yml file to create three separate containers based on the services defined: 

# langgraph-redis : Creates a new container using the official Redis image.
# langgraph-postgres : Creates a new container using the official Postgres image.
# langgraph-api : Creates a new container using your pre-built image.

# Simply copy the docker-compose-example.yml and add the following environment variables to run the deployed task_maistro app:

# IMAGE_NAME (e.g., my-image) 
# LANGCHAIN_API_KEY
# OPENAI_API_KEY

# Then, launch the deployment :

# $ cd module-6/deployment
# $ docker compose up