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# Task ID: 42
**Title:** Implement prompt summary generation service
**Status:** done
**Dependencies:** 37 ✓
**Priority:** high
**Description:** Create a service that auto-generates summary (20 words) and chapters (key sections) for prompts, using fast LLM when available or regex fallback.
**Details:**
1. Create `/src/mcpd/src/services/prompt-summary.service.ts`:
```typescript
export class PromptSummaryService {
constructor(
private llmClient: LlmClient | null,
private promptRepo: IPromptRepository
) {}
async generateSummary(content: string): Promise<{ summary: string; chapters: string[] }> {
if (this.llmClient) {
return this.generateWithLlm(content);
}
return this.generateWithRegex(content);
}
private async generateWithLlm(content: string): Promise<...> {
// Send content to fast LLM with prompt:
// "Generate a 20-word summary and extract key section topics..."
}
private generateWithRegex(content: string): { summary: string; chapters: string[] } {
// summary: first sentence of content (truncated to ~20 words)
// chapters: extract markdown headings via regex /^#+\s+(.+)$/gm
}
}
```
2. Integrate with PromptService:
- Call generateSummary on prompt create
- Call generateSummary on prompt update (when content changes)
- Cache results on the prompt record
3. Handle LLM availability check via existing LlmConfig patterns
**Test Strategy:**
- Unit test: generateWithRegex extracts first sentence as summary
- Unit test: generateWithRegex extracts markdown headings as chapters
- Unit test: generateWithLlm calls LLM with correct prompt (mock LLM)
- Unit test: generateSummary uses LLM when available
- Unit test: generateSummary falls back to regex when no LLM
- Unit test: Empty content handled gracefully
- Unit test: Content without headings returns empty chapters array
- Integration test: Creating prompt triggers summary generation