Agent application learning paths

Ordinary interfaces are usually executed in fixed steps; the Agent can continue to call tools based on the next step suggestions given by the model. The runtime is still responsible for verification, execution and stopping.

Check the acceptance conditions of the task first. Model text can only be candidate results; there should be a clear end state when conditions, step limits, or unrecoverable errors are encountered.

Let the model continue to make decisions based on real receipts. The response receipt should differentiate between success, failure and unknown results, and failure should not be packaged as completed.

Not necessarily. Schema checks the structure and type; business conditions such as amount range and resource ownership also need to be verified on the server side.

No. The identity of the caller comes from the trusted session, and the model parameters can only describe the request object, but cannot determine who they are or what permissions they have.

Return stable error codes and correctable information, such as INVALID_AMOUNT; do not execute the tool and do not report failure as success.

The retriever finds candidate material, and the model generates an answer from the context actually supplied. Inspect retrieval and context first, then assess whether the answer is faithful to them.

Not enough. Make sure the paragraph contains the facts you need to answer, and check that the paragraph enters the context of the model.

Return insufficient information and indicate which piece of evidence is missing. A seemingly reasonable company rule cannot be made up based on common sense.

No. Chat history is a message; task status records the stages and intermediate results of this task; long-term memory stores filtered information that can be used in subsequent tasks.

Usually not required. It belongs to the current task status and will be processed according to the life cycle after the task is completed; long-term storage requires clear purpose and scope.

Because similar content may come from other users or projects. Reads must be restricted by trusted organization, user or thread identities and cannot be matched by keywords only.

Not necessarily. The request may have been executed, but the response was lost. The write operation should first check the receipt or use a stable idempotency key, and cannot directly replace the request with a new one and try again.

No. External writes may not be in the same transaction as the local checkpoint and will be replayed during recovery. Operational idempotency and queryable receipts are also required.

It shouldn't be. Parameter and permission errors are corrected first, and transient errors are retried with limited time. Limit times and deadlines, and retain status in case of cancellation or budget exhaustion.

Not equal to. Also check facts, citations, permissions, and actual business receipts; legitimate JSON may also contain incorrect answers.

The normal path cannot expose problems such as insufficient evidence, overstepping of authority, and duplication of recovery. The failure use case checks whether the system has stopped safely and reports the results truthfully.

No. It is only possible to report which use cases were tested, what results were observed, and the boundaries that were not covered. Production judgment also requires representative data and more complete verification.

Let’s first talk about user tasks, input and output, and acceptance, and then talk about how models, tools, and states work together. This way every design choice has a clear purpose.

No. It should be stated that it is an introductory experiment for local mocking. Which specific behaviors have been verified, and which ones involve the real model, persistence or online capabilities have not yet been verified.

Start by choosing the smallest option based on status, recovery, and collaboration needs. This introductory experiment can use ordinary code loops; more complex solutions must have clear requirements and comparative evidence.