Keep Retry Evidence for CometAPI Agent Publishing Incidents

Last reviewed: 2026-06-25

Direct answer

When a coding agent publication run retries a CometAPI-backed request, keep the evidence small, source-linked, and reproducible. The goal is not to prove that a provider, model, or account state is universally healthy. The goal is to preserve enough clean evidence for the next operator to understand what happened, repeat the narrow check, and decide whether the run can continue.

A useful retry record answers six questions: which documented API family was checked, which workflow or local command ran the request, what happened on the first attempt, what happened on the retry, which source page was used to verify the request shape, and which sensitive fields were deliberately excluded from logs. That is enough to distinguish a request-format mistake, a local environment issue, an unclear provider response, and a workflow problem without exposing prompts, full responses, credentials, or customer data.

A practical smoke test has five parts:

1. Setup assumptions: the operator has a sandbox CometAPI credential stored outside the repository, a non-production prompt, a selected documented text API family, and a CI job or local shell that can redact secrets from logs. A local environment example should use COMETAPI_API_KEY=<API_KEY_PLACEHOLDER>, never a real key.
2. Happy-path request plan: send one minimal request to the selected CometAPI text endpoint after confirming the current request shape in the official docs. Use the same endpoint family that the publication workflow depends on, rather than testing a convenient but unrelated path.
3. Error-path check: run one intentionally invalid or incomplete request that proves the job captures status, error category, retry count, and redacted request metadata without printing secrets.
4. Minimum assertions: confirm the job records attempt count, terminal status, endpoint family, documentation URL checked, timestamp, and a short operator note.
5. What not to assert: do not assert model availability, prices, rate limits, uptime, latency targets, billing totals, or exact response text unless the current source and account state directly support that assertion.

For adjacent source-handling habits, read Validate CometAPI Source Evidence Before Your Agent Tutorial Ships . For retry cost boundaries, pair this workflow with Cost Guardrails for Agent Model Gateway Retries . Teams that need a gateway starting point can use Start with CometAPI .

Sanitized log-record template:

run_id: "publisher-smoke-YYYYMMDD-HHMM"
endpoint_family: "cometapi-text-chat-or-responses"
docs_checked: "https://apidoc.cometapi.com/api/text/chat"
attempt_count: "2"
first_attempt_status: "placeholder_status"
retry_status: "placeholder_status"
error_category: "placeholder_error_category"
secret_redaction_checked: "yes"
full_response_stored: "no"
operator_result: "pass_or_fail"
operator_note: "short non-secret note"

Who this is for

This guide is for operators who let coding agents prepare or publish static content and route selected model calls through CometAPI. It is especially useful when a retry succeeds after an initial failure and the team needs enough evidence to decide whether to continue, pause, or escalate.

It also helps teams that use GitHub Actions or a similar job runner as the place where retry evidence is easiest to preserve. GitHub Actions documentation describes workflows, jobs, steps, secrets, variables, and logs as separate concepts. That separation is useful for incident notes: a workflow can identify where the retry ran, a step can identify the narrow command, and the log can show redacted status evidence without becoming a transcript of the request content.

The workflow is intentionally conservative. It does not tell the operator to change models, increase retry counts, change pricing assumptions, or broaden access. Those decisions depend on current account settings, current CometAPI documentation, current model availability, and the team’s own risk tolerance.

Key takeaways

• Keep retry evidence tied to public documentation, not memory, screenshots, or copied snippets.
• Separate request-shape checks from commercial or account-specific assumptions.
• Store only redacted request metadata, terminal status, retry count, checked source URL, and operator notes.
• Use workflow evidence for repeatability, but avoid turning logs into a transcript of prompts or responses.
• Treat model names, availability, pricing, and usage limits as values to verify at decision time, not permanent article claims.
• Prefer a narrow pass/fail record over a broad narrative. The next operator should be able to see exactly what was checked and what was deliberately left unclaimed.

Sources checked

• OpenAI Codex AGENTS.md guidance - accessed 2026-06-25; purpose: verify repository instruction-file context for coding agents.
• GitHub Actions documentation - accessed 2026-06-25; purpose: verify workflow runs, jobs, steps, checks, and logs.
• CometAPI documentation - accessed 2026-06-25; purpose: verify current CometAPI documentation navigation.
• CometAPI models overview - accessed 2026-06-25; purpose: verify model catalog discovery guidance.
• CometAPI help center - accessed 2026-06-25; purpose: verify support and escalation documentation areas.

Contract details to verify

Failure modes

• Evidence gap: the operator 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 operator repeat the investigation.
• Overclaiming: a single retry succeeds, and the team turns that into a claim about uptime, pricing, latency, or global model availability. Keep the evidence scoped to the request that was actually run.

Reader next step

Before the next CometAPI-backed publication run, create one retry evidence note for a sandbox path. Start with the endpoint family your workflow already uses, open the current CometAPI reference for that family, and write down the exact source URL checked. Then run one minimal successful request and one deliberately incomplete request through the same local shell or CI step that would be used during a real incident.

The note should contain only redacted fields: run ID, timestamp, endpoint family, docs URL, attempt count, first terminal status, retry terminal status, error category, whether secret redaction was checked, whether full responses were excluded, and the operator’s pass/fail decision. If the evidence is unclear, pause the publishing run and use the current CometAPI help documentation for the next support step rather than changing endpoint families or model selections just to make the run pass.

FAQ

Should the retry log include the full prompt or response?

No. Keep a redacted record with the endpoint family, attempt count, status, error category, checked documentation URL, and a short operator note. Full prompts and responses can expose sensitive project context and make the evidence harder to share.

Can a successful retry prove that CometAPI is healthy?

No. A single smoke test can show that one request path worked for one account and one moment. It should not be used to claim uptime, latency, rate limits, pricing, or general availability.

Which CometAPI endpoint should the operator test?

Use the endpoint family that the publication workflow actually depends on, then verify the current request shape in the official CometAPI reference before running the test. If the workflow uses a chat-style request, check the chat reference. If it uses a responses-style request, check the responses reference.

What should trigger escalation?

Escalate when retries produce inconsistent terminal statuses, the error category is unclear, the selected model cannot be verified in current documentation or account configuration, or the job cannot prove that secrets were redacted.

What should the operator avoid changing during the retry check?

Avoid changing the model, endpoint family, permissions, retry count, or cost assumptions unless the incident decision explicitly requires it and the current source evidence supports it. A retry evidence note is strongest when it explains the observed path without quietly moving to a different one.