Assistants Guide
Assistants Assistants give developers a quick and easy way to modify and version agents for experimentation. Supplying configuration to the graph Our task_maistro graph is already set up to use assistants! It has a configuration.py file defined and loaded in the graph. We access configurable fields (user_id, todo_category, task_maistro_role) inside the graph nodes. Creating assistants Now, what is a practical use case for assistants with the task_maistro app that we've been building? For me, it's the ability to have separate ToDo lists for different categories of tasks. For example, I want one assistant for my personal tasks and another for my work tasks. These are easily configurable using the todo_category and task_maistro_role configurable fields.
When to use Assistants
Assistants Assistants give developers a quick and easy way to modify and version agents for experimentation. Supplying configuration to the graph Our task_maistro graph is already set up to use assistants! It has a configuration.py file defined and loaded in the graph. We access configurable fields (user_id, todo_category, task_maistro_role) inside the graph nodes. Creating assistants Now, what is a practical use case for assistants with the task_maistro app that we've been building? For me, it's the ability to have separate ToDo lists for different categories of tasks. For example, I want one assistant for my personal tasks and another for my work tasks. These are easily configurable using the todo_category and task_maistro_role configurable fields.
How to use Assistants
Assistants 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