Edit Agent Outputs in Approvals Inbox Before Execution

Edit Agent Outputs in Approvals Inbox Before Execution

The approvals inbox lets you review and change every output an agent produces before it touches your runtime. This step keeps sensitive actions under direct human control while preserving the single versioned config object that defines all prompts, tools, and autonomy levels.

Key takeaways:

• Every sensitive action routes through the approvals inbox by default.
• You can edit outputs directly without altering the underlying config object.
• Changes remain logged with token usage and cost estimates for later review.
• Edits follow rules stored in the single config object.

How the Approvals Inbox Captures Outputs

When an agent completes a step that the config object marks as sensitive, the full output lands in the approvals inbox. The inbox records the proposed action, intermediate results, token usage, and a cost estimate before any execution occurs on your agent runtime backend.

You review the entry in one place. No action proceeds until you approve, reject, or edit the content. Execution history logs capture the exact payload at the moment it enters the inbox, including model parameters and any intermediate outputs generated during the run.

For teams running multiple agents, the inbox aggregates entries across all schedules defined in the config object. This aggregation prevents duplicate reviews and surfaces patterns in token consumption over repeated executions.

Steps to Edit an Agent Output

Follow these steps to modify an output safely:

• Open the approvals inbox in the Agent Command Center.
• Select the pending entry and review the full payload.
• Apply edits only to the fields the config object allows.
• Save the revised output; the system logs the change and version.
• Choose approve, reject, or return for further agent work.

This sequence ensures every edit stays traceable against the versioned config object. In practice, an edit to a tool parameter might reduce token usage from 1,450 to 1,120 while preserving the original intent.

What You Can Modify in the Inbox

The single config object determines which fields appear editable. Typical options include:

• Text content of generated responses
• Parameter values passed to tools
• Scheduled next-run times
• Model choice within pre-approved limits
• Cost estimate thresholds

You cannot change core role prompts or tool definitions here; those live only in the config object. Additional modifiable areas often include retry counts and fallback model selections when those options are explicitly enabled in the versioned object.

Rules Stored in the Config Object

Define edit permissions once in the versioned config object. The object contains:

• A list of editable fields per action type
• Required approval roles for each edit
• Maximum token changes allowed per edit
• Audit flags that force logging of every modification

Learn how to define action sensitivity levels in config object so the inbox always presents the correct options.

Comparison of Edit Workflows

The inbox workflow keeps all changes inside the control plane while external tools often lose version history.

Audit Cost Estimates After Edits

Every edit updates the cost estimate shown in the inbox. You can compare the original and revised estimates before approval. Audit cost estimates approvals inbox entries to set thresholds that block high-cost changes.

• Record original and edited token counts
• Flag edits that exceed 20 percent of the original estimate
• Require secondary approval for any cost increase
• Compare estimates against per-role token limits defined in the config object
• Export revised estimates for monthly budget reviews

Inspect State Changes After Approval

Once you approve an edited output, the execution history records the new state. Inspect agent state changes execution history logs to confirm the edited payload reached the runtime correctly.

Logs include the editor identity, timestamp, and diff of the output. This record supports compliance reviews without leaving the Agent Command Center. State changes also capture any downstream effects on scheduled tasks listed in the same config object.

Compare Inbox Edits to External Ticketing

Some teams route agent actions through ticketing systems. The built-in approvals inbox offers tighter integration with your config object. Approvals inbox vs ticketing for agent action control shows the trade-offs in logging and version control.

• Inbox edits stay inside the single config object
• External tickets require separate mapping of fields
• Inbox changes update token usage and cost estimates automatically
• Ticketing systems may introduce latency of several hours
• Inbox maintains direct linkage to live visibility streams

Export Logs for Compliance

After edits and approvals, export the full history. Export execution logs for compliance audits to produce records that include every inbox modification.

Align Edits with Established AI Governance Standards

Organizations that manage autonomous agents benefit from aligning inbox edits with recognized governance frameworks. These frameworks emphasize documentation of human interventions and traceability of changes to model outputs. The single config object already supports many of these requirements by storing edit rules alongside sensitivity levels.

When editing outputs, record the rationale for each change directly in the inbox comment field. This practice creates an auditable trail that satisfies common control objectives found in enterprise risk programs.

Consider these practices when incorporating external standards:

• Map each editable field to a corresponding control in your chosen framework
• Require justification text for edits that alter more than 15 percent of original content
• Retain both original and edited versions for a minimum of 90 days
• Review edit patterns quarterly against token usage trends
• Update the config object whenever framework guidance changes

For detailed guidance, refer to the NIST AI Risk Management Framework when defining approval thresholds. Teams handling large language model agents should also consult the OWASP LLM Top 10 guidelines to identify prompt and output risks that warrant stricter inbox rules. Additional reference material appears in the IEEE Ethically Aligned Design recommendations for human oversight mechanisms.

These alignments help ensure that every edit performed in the approvals inbox remains consistent with broader organizational policies without requiring separate tooling.

Conclusion

Use the approvals inbox to edit outputs while the single config object enforces consistent rules. This approach maintains human in the loop control for every action that touches the real world.

Next steps:

• Review your current config object for editable fields
• Test an edit on a non-production agent
• Set cost thresholds that trigger secondary review
• Enable full logging for all inbox changes
• Schedule a quarterly audit of edited outputs

FAQ

How do I enable editing in the approvals inbox?

Set the editable fields list inside the single config object. The inbox then presents only those fields for modification.

Can edits bypass the human approval step?

No. Every edited output still requires explicit approval before it reaches your agent runtime backend.

Where are edit rules stored?

All rules live in the versioned config object. Changes to those rules create a new version that applies to future runs.

Does editing affect token usage tracking?

Yes. The inbox recalculates token usage and cost estimates after each edit and records both values in the execution log.

Can I revert an edit after approval?

Reversion requires a new config object version or a fresh agent run. The original edited output remains in the history for audit purposes.