Chat and text-enhancement flow

Understand HTML code-fence stripping

Review how a response wrapped in an html code fence is cleaned.

Audience: CRM administrators and authorised staffPermission: Technical administratorModule v1.0.0
Exact navigationCode-backed reference → OpenAiProvider::chat
Before you begin
  • Use an account with Technical administrator and confirm the intended record or setting before making a change.
  • Follow the exact route above. If the screen or action is absent, check module activation, ownership and permissions rather than using another person’s account.
  • Use controlled test data for configuration, integration, email, AI, payment, portal or automation changes before production-wide use.

What this guide covers

Review how a response wrapped in an html code fence is cleaned. The instructions reflect the supplied module’s registered menus, controller actions, views, settings and code-backed validation flow.

Exact step-by-step process

  1. Open Code-backed reference → OpenAiProvider::chat.
  2. Select the relevant record, filter, report, model or configuration described below.
  3. Use the displayed action or read the current values without altering unrelated data.
  4. Compare the output with the code-backed rules and expected result in this guide.
  5. Record or correct any mismatch before relying on the output in production.

Fields, choices and supported possibilities

ActionUnderstand HTML code-fence stripping
Exact navigationCode-backed reference → OpenAiProvider::chat
Module version1.0.0
VerificationConfirm the saved record, status, output or setting in the same workspace and review any linked activity, file or notification.

Code-backed validations and workflow rules

  • The return expression trims characters matching the leading ```html set and trailing ``` set.
  • Review generated HTML because this is not a full Markdown code-fence parser or sanitizer.

Expected result and verification

  • The supported understand html code-fence stripping flow completes without bypassing permission or validation checks.
  • The resulting record, setting, status, file, delivery event or external response is visible from the relevant workspace.
  • Unexpected validation, provider or linked-record errors are investigated before retrying.

Security, privacy and operational checks

  • Restrict the API key and AI settings to authorised administrators.
  • Do not submit confidential, special-category or unnecessary personal data to the external AI provider.
  • Review generated text before using it in customer, staff, legal, financial or compliance communication.
  • Monitor provider billing and retention independently because this module has no built-in cost dashboard.