Refactored the AI prompt system to use proper language-specific prompts (en and ro) instead of a single wildcard prompt with runtime {{languageName}} placeholder substitution.
Benefits:
- Language-specific instructions optimized for each language
- Better control over LLM behavior per language
- Cleaner code without placeholder substitution
- Easier to maintain and update prompts per language
Changes:
- Updated cvMatcher InitialSchema migration to seed en and ro prompts separately
- Modified CvMatcherService to retrieve language-specific prompts directly
- Removed LanguageName() helper method (no longer needed)
- Added fallback prompts in service for safety
The English and Romanian prompts now include specific JSON examples in their respective languages, ensuring the LLM understands the expected output format for each language variant.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Added seeding of the ai.cv-match.system-prompt to the AiPrompts table. This prompt is retrieved by CvMatcherService when scoring CV-job pairs with the LLM. The {{languageName}} placeholder is substituted at runtime based on the requested language.
The prompt has a fallback in the service code, but seeding it ensures the proper version is used and avoids relying on the hardcoded fallback.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
Deleted all incremental migrations and regenerated fresh InitialSchema migrations
that contain the complete, correct schema from the start:
- CvMatcher: InitialSchema with 3-column unique constraint on Results
(CvDocumentId, JobDocumentId, Language)
- Email: InitialSchema with Templates table (consolidated from EmailTemplates)
This creates a cleaner migration history and faster fresh deployments. Since there
is no production data, consolidation is safe and improves maintainability.
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
claude