Last reviewed: 2026-07-16

Direct answer

Limit manually triggered gateway workflows until the coding agent pull request has a small, reviewable evidence packet: the workflow file, the selected inputs, the token permissions, the secret boundary, and a sanitized smoke-test log. GitHub Actions documents manual workflows through workflow_dispatch inputs, and its workflow syntax reference includes permission settings that can be declared at the workflow or job level. Use those controls to keep gateway checks narrow before a maintainer relies on their result.

A good manual gateway workflow proves one contract at a time. It should not try to prove pricing, account entitlement, model availability, uptime, support response time, or production readiness. Those details need current documentation or account evidence. The manual run should answer a smaller question: did this pull request preserve the route, input profile, secret boundary, and expected pass or fail behavior for the specific gateway check being reviewed?

For adjacent pull request handoff structure, see How to Hand Off Coding Agent Pull Requests for Review . For secret-handling boundaries that pair with this workflow, see Set Safe Permission and Secret Boundaries for Coding Agents .

Use this operator workflow:

  1. Setup assumptions: the branch has an open pull request, the manual workflow file is stored in .github/workflows, required inputs are documented in the workflow, credentials are stored in the platform secret store, and the job token has only the permissions needed for this check.
  2. Happy-path request plan: trigger the workflow with a named test input profile, call the gateway using <API_KEY_PLACEHOLDER> from the secret store, and record only the status class, contract area, run identifier, and artifact path.
  3. Error-path check: run one request with a deliberately invalid placeholder value or a missing optional input and confirm the job records a controlled failure without exposing credentials, prompts, full responses, or account-specific details.
  4. Minimum assertions: workflow input validation ran, token permissions were explicit, secrets were not printed, the gateway check produced a pass or fail result, and the pull request has a short evidence note.
  5. Pass/fail logging fields: run_id, pull_request_ref, workflow_input_profile, permission_profile, secret_source, gateway_contract_area, result, failure_class, artifact_path, and maintainer_note.
  6. What not to assert: do not assert exact pricing, billing totals, rate limits, uptime, latency, support commitments, model availability, or account-specific entitlement from this smoke test.

When the gateway check is part of a CometAPI workflow, keep the run small and verify commercial or account-specific assumptions in the linked CometAPI documentation before increasing usage. Start with CometAPI .

Sanitized log template:

run_id: "manual-run-placeholder"
pull_request_ref: "refs/pull/PLACEHOLDER/head"
workflow_input_profile: "gateway-smoke-test"
permission_profile: "explicit-minimum"
secret_source: "platform-secret-store"
gateway_contract_area: "request-routing-or-error-handling"
result: "pass|fail"
failure_class: "none|input-validation|auth-placeholder|gateway-response|logging-policy"
artifact_path: "artifact://placeholder"
maintainer_note: "Short evidence summary only."

Who this is for

This guide is for maintainers who let coding agents prepare pull requests and want a manual gateway check without turning that check into an open-ended deployment, billing, or support probe. It is especially useful when the pull request touches model routing, API gateway setup, workflow files, or secret-handling examples.

It is also useful for teams that need a repeatable way to decide whether a pull request is ready for deeper review. A coding agent may repair tests, edit configuration, update examples, or change request routing. A manual workflow gives the team a constrained place to check the risky boundary without asking every maintainer to rerun local commands or inspect raw gateway responses.

Do not use this pattern as a replacement for normal CI, source review, or account-owner checks. Use it as a narrow confirmation step before a pull request claims that a gateway-facing change is safe to merge.

Key takeaways

  • Use manual workflow inputs to make each gateway check narrow, named, and repeatable.
  • Declare job permissions explicitly so a pull request check does not receive broader token access than it needs.
  • Keep credentials in the workflow secret store and avoid printing credentials, prompts, full responses, or account-specific details.
  • Treat CometAPI pricing, support, concurrency, and maintenance details as documentation-backed checks, not assumptions baked into a pull request.
  • Record a small pass/fail evidence packet that a maintainer can inspect without rerunning the gateway call.
  • Stop the workflow from expanding into deployment, load testing, billing analysis, or model availability claims unless those tasks have their own source-backed plan.

Sources checked

Contract details to verify

AreaWhat to verifySource URLAccessedSafe candidate wording
Manual trigger scopeConfirm the workflow uses workflow_dispatch inputs and that the workflow file is placed where GitHub can receive the event.https://docs.github.com/en/actions/reference/workflows-and-actions/workflow-syntax2026-07-16“Use manual workflow inputs to keep the gateway check narrow and repeatable.”
Token permission scopeConfirm the workflow or job declares only the permissions needed for the check.https://docs.github.com/en/actions/reference/workflows-and-actions/workflow-syntax2026-07-16“Declare job permissions explicitly before a gateway check runs.”
Secret handlingConfirm credentials are provided through the workflow secret mechanism and are not printed in logs.https://docs.github.com/actions/reference/encrypted-secrets2026-07-16“Keep API credentials in the platform secret store and log only sanitized outcomes.”
Pull request handoffConfirm the pull request contains enough context for maintainers to inspect the change and the gateway evidence.https://docs.github.com/en/pull-requests2026-07-16“Attach a short pull request note that explains what the manual run checked.”
Support and operational caveatsConfirm support and escalation details before treating a smoke test as production readiness.https://apidoc.cometapi.com/support/help-center2026-07-16“Use support documentation for escalation planning instead of inferring support behavior from a test run.”

Failure modes

  • Evidence gap: the agent cannot inspect the failing log, source page, pull request, or local command output. The safe action is to stop and record the missing evidence instead of guessing.
  • Scope drift: the agent edits files that are not connected to the observed failure. Keep the repair tied to the failing signal and leave unrelated cleanup for a separate task.
  • Environment mismatch: the local check uses different versions, credentials, feature flags, or runtime settings than the hosted path. Record the mismatch before treating the result as proof.
  • Unreviewed fallback: the agent changes models, endpoints, permissions, or retry behavior to make a run pass without preserving the review boundary. Treat access and provider failures as operational blockers, not topic failures.
  • Weak handoff: the final note says the issue is fixed but omits the command, result, changed files, and remaining uncertainty. That makes the next maintainer repeat the investigation.
  • Overbroad manual inputs: the workflow accepts free-form targets, environment names, or request payloads that let a pull request run a broader gateway probe than intended. Replace broad inputs with named profiles.
  • Log leakage: the workflow records a credential, prompt, response body, or account detail while trying to make the run easier to debug. Prefer status class, failure class, and artifact location.

Reader next step

Before you add a manual gateway workflow to the next coding agent pull request, write a one-page run profile. Name the contract area, list the exact workflow inputs, choose the minimum token permissions, identify which secret is read from the platform store, and define the pass/fail fields that may appear in the log.

Then open the pull request and add a short note with three items: why the manual run is needed, which source pages support the workflow assumptions, and which claims the run must not make. If the pull request touches CometAPI routing or usage, keep the CTA and source checks separate: readers can Start with CometAPI , while maintainers should still verify pricing and support details from the public CometAPI documentation before relying on them.

FAQ

Should every coding agent pull request run a manual gateway workflow?

No. Use it when the pull request changes gateway configuration, workflow behavior, secret handling, or examples that readers may copy. Routine text-only edits usually need source review and normal CI instead.

What should the manual workflow prove?

It should prove that the selected inputs, permissions, secret boundary, and gateway contract check behave as expected for the narrow scenario being reviewed.

Can the smoke test prove CometAPI pricing or availability?

No. Pricing, billing, maintenance, concurrency, support behavior, and account-specific access need current documentation or account evidence. The smoke test should not turn those areas into implied claims.

What should maintainers look for in the evidence packet?

Maintainers should see the workflow input profile, the permission profile, a sanitized pass/fail result, any failure class, and a short note explaining what was checked.

Where should credentials appear in examples?

Use <API_KEY_PLACEHOLDER> in public examples. Real credentials should stay in the platform secret store and should not appear in logs, pull request comments, or artifacts.

What should happen when the manual run fails?

Classify the failure before changing code. Input validation, permission scope, secret access, gateway response shape, and logging policy failures point to different repairs. If the failure cannot be classified from the available evidence, stop and ask for the missing log or source detail instead of widening the workflow.