AI agent audit logs: how to trace API requests and actions

AI agent audit logs help answer which identity attempted an API request, which service it targeted, and what happened to that request. In Loggie, the Audit Logs view records activity through agent profiles and their assigned connections, including policy decisions and request details.

This is useful when an employee asks why a report failed or someone needs to investigate a possible change to a business record. A chat transcript can show what the assistant said it did. The request log gives you another source of evidence to compare with the provider's records.

Loggie's logs cover requests through Loggie. They are not a recording of every shell command, every separate connector, or the model's internal reasoning.

Know what each part of the log tells you

Start with the profile, connection, timestamp, method, and path. Together they identify the credential context and intended API operation.

Then inspect the policy decision. Loggie distinguishes allowed, denied, rate_limited, error, and pending_approval. The request details can include the matching rule and decision reason, alongside the upstream status and request duration.

Log detail	Question it helps answer
Profile and connection	Which access identity and connected service were involved?
Method, path, and timestamp	Which operation was attempted, and when?
Decision and matching rule	How did the access policy handle the request?
Upstream status and duration	What response did the upstream request receive, if it ran?
Approval status and timeline	Did this request need review, and what happened during that review?

An allowed decision means the policy permitted the request. It does not prove that the provider accepted it or that the intended business outcome occurred. A provider can reject a permitted request because of missing fields or its own authorization rules. Some APIs also return application-level errors inside an otherwise successful HTTP response.

For a write, the provider's record remains an important part of verification. Check the returned object or action result and, when necessary, inspect the record in the provider's interface.

Investigate one reported problem

Suppose an employee says, "My assistant couldn't update a task, and I'm not sure whether it tried again."

Begin with a narrow time window and the employee's profile. In Loggie's Audit Logs view, use the profile and connection filters, then search for the relevant path or inspect the requests around that time. Check the timezone used in the report against the displayed timestamps.

This fictional sequence shows a successful read followed by two refused updates:

Time	Attempt	Decision	Result
09:14:02	Read task details	allowed	Upstream HTTP 200
09:14:08	Update the task	denied	Policy refused the operation
09:14:15	Retry the update	denied	Policy refused the operation again

Open both denied requests and compare their details. If the policy intentionally prevents updates, the denials are the expected result. A retry does not solve a permission restriction.

Ask whether the workflow needs the write at all. The employee may only need a draft recommendation. If the update is appropriate, an administrator can review the policy separately and choose direct permission or an approval requirement. Do not broaden access simply to make the error disappear.

If the request was permitted but failed upstream, inspect the status and available error details. A policy change will not fix an invalid provider payload. If a write timed out, check the provider before retrying: the operation may have completed even though the caller did not receive its response.

Follow approvals through to their outcome

A pending_approval decision means the request entered a review flow. Open its details and inspect the approval status and timeline. Approval status can be pending, approved, rejected, or expired.

Treat approval and execution as separate facts. An approved request still needs an execution result before you can say what happened at the provider. Use the timeline and associated request details, then confirm the business record if the change matters.

For a rejected or expired request, explain the review outcome to the employee. Repeatedly submitting the same action can create more review work without addressing why it was refused.

The Slack approval walkthrough explains how to put human review around selected agent actions. The audit view helps you investigate that flow afterward; it should not replace checking the actual request before approving it.

Give people separate identities

If everyone shares one profile credential, a log can tell you that the shared profile made a request. It cannot reliably identify the person who held the keyboard.

Use a separate profile for each employee, and separate unattended automations when they need their own access lifecycle. That makes a profile's activity more useful during support and offboarding.

Even then, a profile identifies the credential used for the request. It is not proof of the human operator's identity if someone shared or stole that credential. Investigations may need device information or other records outside Loggie.

When a credential is suspected of being exposed, revoke or suspend the affected access and review recent activity. Check pending approvals separately. Our employee access guide includes a practical offboarding checklist and the limits of revocation.

Decide whether you need request and response bodies

Loggie's body logging is optional and off by default. It is configured per profile. Request metadata remains useful without retaining full payloads: you can still inspect the connection, operation, policy decision, and available status information.

Bodies can help explain why a provider rejected a request or which fields an agent attempted to change. They can also contain customer messages, financial details, or credentials placed in unexpected fields.

Sensitive-header handling does not guarantee that every secret embedded in a body will be removed. Before enabling body logging, decide who may inspect the logs and how that stored data fits your retention and privacy requirements. Check the actual configuration and behavior rather than assuming a particular retention period.

Use a test account or synthetic payload to inspect what gets recorded. Keep logging limited to the profiles that need it, and revisit the setting after the investigation. Avoid copying full production payloads into shared troubleshooting chats.

Response redaction controls selected fields returned to the agent. Review logging separately; agent-facing redaction should not be treated as a blanket guarantee about every diagnostic record.

Build a review habit around exceptions

You do not need to read every successful request manually. A regular review can begin with denied writes, repeated retries, and errors around important workflows. Inspect unfamiliar connection usage or a sudden change in request volume when it warrants attention.

A denial may be harmless discovery of an unavailable operation. For repeated denials, compare the employee's task with the permitted operations and inspect what the agent actually requested before drawing conclusions about intent.

For each investigation, record the relevant request IDs, time window, profile, and provider record references. State what you confirmed and what remains unknown. For example: "Both update attempts were denied by Loggie" is supported by the fictional sequence above. "The task could not have changed through any route" would require checking access outside Loggie as well.

When closing the issue, verify the permitted workflow through the intended profile and confirm the outcome at the provider. Preserve enough references that the next person can follow the investigation without sharing credentials or unnecessary customer data.