a869f77070
Merges feat/agent-project-membership (task 166/152). An agent can finally join many projects: membership routes, per-membership role and optional brain override, chat resolving context from the membership, and CLI attach-agent / detach-agent / get memberships. The legacy Agent.projectId fallback is kept for this release as the schema comment promises. Conflict resolved in main.ts: that branch added its RBAC case to mapUrlToPermission inline, while this branch had extracted the function to middleware/url-permission.ts so it could be tested. Kept the extraction and ported the case into it — joining a team is `edit:agents:<name>`, not `create:agents`, which is the authority to mint a whole agent. Also fixes something the extraction makes possible. security.test.ts contained a hand-copied reproduction of mapUrlToPermission, because main.ts self-invokes main() and nothing in it was importable. A security test asserting against a copy stops testing the system the moment the real one changes, and this copy had already drifted. It now imports the real function; all 18 assertions still pass, against the code that actually runs. Local: build clean, workspace 2550 passed, lint unchanged at 794 errors. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01N4wNHWf7xSwnZCWpJcyv9p
59 lines
2.0 KiB
Markdown
59 lines
2.0 KiB
Markdown
# Task ID: 42
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**Title:** Implement prompt summary generation service
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**Status:** done
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**Dependencies:** 37 ✓
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**Priority:** high
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**Description:** Create a service that auto-generates summary (20 words) and chapters (key sections) for prompts, using fast LLM when available or regex fallback.
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**Details:**
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1. Create `/src/mcpd/src/services/prompt-summary.service.ts`:
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```typescript
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export class PromptSummaryService {
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constructor(
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private llmClient: LlmClient | null,
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private promptRepo: IPromptRepository
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) {}
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async generateSummary(content: string): Promise<{ summary: string; chapters: string[] }> {
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if (this.llmClient) {
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return this.generateWithLlm(content);
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}
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return this.generateWithRegex(content);
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}
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private async generateWithLlm(content: string): Promise<...> {
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// Send content to fast LLM with prompt:
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// "Generate a 20-word summary and extract key section topics..."
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}
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private generateWithRegex(content: string): { summary: string; chapters: string[] } {
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// summary: first sentence of content (truncated to ~20 words)
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// chapters: extract markdown headings via regex /^#+\s+(.+)$/gm
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}
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}
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```
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2. Integrate with PromptService:
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- Call generateSummary on prompt create
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- Call generateSummary on prompt update (when content changes)
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- Cache results on the prompt record
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3. Handle LLM availability check via existing LlmConfig patterns
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**Test Strategy:**
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- Unit test: generateWithRegex extracts first sentence as summary
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- Unit test: generateWithRegex extracts markdown headings as chapters
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- Unit test: generateWithLlm calls LLM with correct prompt (mock LLM)
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- Unit test: generateSummary uses LLM when available
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- Unit test: generateSummary falls back to regex when no LLM
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- Unit test: Empty content handled gracefully
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- Unit test: Content without headings returns empty chapters array
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- Integration test: Creating prompt triggers summary generation
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