Files

Michal a869f77070 merge: AgentProject membership — the junction is now load-bearing

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

2026-08-09 23:34:18 +01:00

2.0 KiB

Raw Blame History

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:

Create /src/mcpd/src/services/prompt-summary.service.ts:

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
  }
}

Integrate with PromptService:
- Call generateSummary on prompt create
- Call generateSummary on prompt update (when content changes)
- Cache results on the prompt record
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

2.0 KiB Raw Blame History

Task ID: 42

2.0 KiB

Raw Blame History