Creating a deployment Guide
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 We have this already in the module-6/deployment directory! CLI The LangGraph CLI is a command-line interface for creating a LangGraph Platform deployment.
When to use Creating a deployment
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 We have this already in the module-6/deployment directory! CLI The LangGraph CLI is a command-line interface for creating a LangGraph Platform deployment.
How to use Creating a deployment
Creating a deployment is a single agent agent built on the LangGraph framework. Set it up from the source repository, configure your model credentials, and invoke it for tasks that match its description. Review the safety profile below before running it against production data or systems.
Safety profile
Autonomy
Semi-autonomous
Sandbox-aware
No declared sandbox guidance
Network access
Unspecified
Filesystem access
Unspecified