LLM workflows

An LLM workflow spans more than a model response. Source records, tool descriptions, application policy, and evaluation all influence whether the final answer is useful. This topic groups guides that explore those layers with concrete fictional tasks rather than broad claims about autonomous integration.

Start with context preparation if the assistant is choosing the wrong source. Read the provider-specific guides when you need to design a callable capability. Use the prompt articles when extraction or final-answer fidelity needs closer testing. These are different problems and may require changes in different parts of the application.

Every workflow benefits from clear unknowns and honest completion language. A proposed action is not a completed action, and a retrieved sample is not proof of total coverage. The integration overview connects the provider paths, while developer resources offers a task-based way to read the wider library.