Review Sources Before Publishing CometAPI Code Samples

Last reviewed: July 3, 2026.

Direct answer

Before publishing a CometAPI integration tutorial, check the official documentation entry point, the specific endpoint reference used by the sample, the model documentation when a sample names a model, and the help center path readers can use when their account behaves differently. For chat examples, verify the Chat Completions reference. For response-style examples, verify the Responses reference. If the article depends on model selection, check the current model documentation before naming or recommending any model.

Treat every code sample as a claim about the API contract. A sample that shows an endpoint family, a request body, an authorization pattern, a streaming setting, or a response object should point back to a current public source. If the source does not support the exact wording, narrow the wording. It is better to say that the tutorial author should verify a value in the current documentation than to freeze a model name, price, limit, or behavior that can change.

A useful operator workflow is straightforward:

1. Setup assumptions: the operator has a CometAPI account, a valid credential stored outside the article, and a local test environment that can substitute <API_KEY_PLACEHOLDER> without printing the real value.
2. Happy-path request plan: choose the endpoint family the tutorial actually teaches, then run one minimal request using a harmless test prompt and a placeholder model chosen from the current model documentation.
3. Error-path check: run one request with a deliberately invalid placeholder credential and confirm the client records an authentication failure without exposing the credential.
4. Minimum assertions: record whether the documented endpoint path, required authorization area, request body shape, streaming choice, and response object family match the official reference used by the tutorial.
5. Pass/fail logging fields: record date, endpoint family, docs URL, credential source label, request fixture ID, result status, response object family, error category, and operator initials.
6. What not to assert: do not claim model availability, price, rate limit, latency, uptime, billing behavior, or provider-specific behavior unless the linked source directly documents that exact claim.

For a narrower endpoint check, compare this guide with How to Smoke-test the CometAPI Chat Completion Contract . For a broader release review, use Release Checklist for OpenAI-Compatible CometAPI Tutorials .

Who this is for

This guide is for tutorial authors, integration maintainers, and operators who need CometAPI code samples to stay aligned with the current public documentation. It is especially useful before publishing examples that mention Chat Completions, Responses, authorization, streaming, structured output, tool calls, request headers, error handling, or model selection.

It is also useful when a team inherits an older tutorial and cannot tell whether the code sample came from the current docs, a previous draft, a local experiment, or a copied snippet. The review process gives the author a repeatable way to decide what can be stated directly, what should be softened, and what should be left as a reader-side verification step.

Key takeaways

• Start every CometAPI tutorial update from the current documentation, not from an older code sample.
• Match each code sample to the endpoint family it actually uses: Chat Completions for chat-style examples or Responses for response-style examples.
• Keep credentials as placeholders and never print a real key in logs, screenshots, snippets, or article examples.
• Treat model names, pricing, quotas, limits, billing behavior, and provider-specific behavior as verification items unless a current public source supports the exact wording.
• Capture enough evidence for a later maintainer to repeat the check without depending on memory or private chat notes.
• Keep source links clean. Reader-facing citations should point to public documentation pages, not campaign URLs or private tools.

Sanitized log-record template:

review_date: YYYY-MM-DD
endpoint_family: chat_completions_or_responses
docs_url: https://apidoc.cometapi.com/path/to/reference
credential_source: local_secret_store_label
request_fixture_id: fixture-placeholder-001
result_status: pass_or_fail
response_object_family: documented_object_family_or_not_checked
error_category: none_or_authentication_or_request_shape_or_unexpected
notes: placeholder summary without prompts, credentials, prices, limits, or full responses

A good log is intentionally boring. It should tell the next maintainer which public page was checked, which fixture was used, and which broad result category appeared. It should not include a real credential, a full prompt, a full model response, account-specific billing details, or private provider information.

Sources checked

• CometAPI chat completions reference - accessed 2026-07-03; purpose: verify chat completion contract areas.
• CometAPI documentation - accessed 2026-07-03; purpose: verify current CometAPI documentation navigation.
• CometAPI help center - accessed 2026-07-03; purpose: verify support and escalation documentation areas.
• CometAPI responses reference - accessed 2026-07-03; purpose: verify responses endpoint contract areas.
• CometAPI models overview - accessed 2026-07-03; purpose: verify model catalog discovery guidance.

Contract details to verify

Failure modes

• Evidence gap: the author 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 article changes endpoint families, model choices, retries, or permissions to make a sample look cleaner. Keep the repair tied to the documented behavior and leave unrelated cleanup for another update.
• Environment mismatch: the local check uses different credentials, feature flags, SDK versions, or runtime settings than the reader will use. Record the mismatch before treating the result as proof.
• Unreviewed fallback: the sample silently switches models, endpoints, or retry behavior after a failure. Treat access and provider failures as things to document or escalate, not as permission to invent a new contract.
• Weak handoff: the final note says the sample is checked but omits the docs URL, result, fixture label, and remaining uncertainty. That makes the next maintainer repeat the investigation.
• Overclaiming from a smoke test: one successful request can support a request-shape check, but it does not prove cost, rate limit, uptime, latency, billing, or long-term availability.

Reader next step

Pick one unpublished or recently changed tutorial sample and run the review in this order. First, write down the endpoint family the sample claims to teach. Second, open the matching CometAPI reference page and confirm that the sample uses the same family, request shape, and response object family. Third, check the model documentation before naming a model, or replace the model name with a clear placeholder if the article does not need a specific one. Fourth, run one local happy-path fixture and one invalid-credential fixture while keeping the real credential outside the article. Finally, paste only the sanitized log fields into your working notes.

If any step cannot be completed, do not patch around it in the public tutorial. Mark the unsupported claim as a verification item, link to the relevant public docs page, and keep the sample narrow enough that a reader can repeat the check.

Use Chat Schema Notes for Tutorial Maintainers as the next comparison point. Keep Verify CometAPI Base URLs Before Publishing Tutorial Examples nearby for setup and permission checks.

FAQ

Should a tutorial include a real CometAPI key?

No. Use <API_KEY_PLACEHOLDER> in examples and keep real credentials in a local secret store or environment variable outside the article.

Can I copy an old request fixture into a new tutorial?

Only after checking the current endpoint reference. The fixture should match the documented endpoint family, request shape, streaming choice, and response object family used by the tutorial.

Can I recommend a model in the article?

Only if the current model documentation supports the exact model wording you plan to publish. Otherwise, use a placeholder and tell readers to choose from the current model documentation.

Should the smoke test prove cost, rate limit, or uptime behavior?

No. A basic tutorial smoke test should verify request shape and documented response areas. Cost, limits, billing, latency, and uptime require direct current evidence and account-specific confirmation.

What should I do when the local result differs from the documentation?

Record the fixture ID, endpoint family, docs URL, result status, and error category. Then use the public help center or account support path without exposing prompts, credentials, or full responses.

How often should the source review be repeated?

Repeat it whenever a tutorial changes endpoint families, request bodies, response handling, model selection, streaming behavior, authentication handling, or support instructions. Repeat it again before reviving an older sample that has not been checked against the current documentation.