> For the complete documentation index, see [llms.txt](https://ai-os-and-trend-finder.gitbook.io/ai-os-and-trend-finder-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-os-and-trend-finder.gitbook.io/ai-os-and-trend-finder-docs/.spec_system/archive/sessions/phase26-session02-graph-read-bridge-registry-endpoints/implementation_summary.md). # Implementation Summary **Session ID**: `phase26-session02-graph-read-bridge-registry-endpoints` **Completed**: 2026-06-09 **Duration**: 0.3 hours *** ## Overview Implemented the loopback-only Knowledge Graph read bridge for Phase 26. The session added the registry list endpoint and confined graph stream endpoint, registered both handlers through the Vite dev middleware, and verified the bridge with focused tests and script typechecking. *** ## Deliverables ### Files Created | File | Purpose | Lines | | ----------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------ | ----- | | `scripts/lib/knowledge-graph-dev-bridge.ts` | Loopback-only graph registry list and graph stream bridge | \~390 | | `scripts/lib/__tests__/knowledge-graph-dev-bridge.test.ts` | Focused bridge tests for success, pruning, fallback, and rejection paths | \~430 | | `.spec_system/specs/phase26-session02-graph-read-bridge-registry-endpoints/IMPLEMENTATION_SUMMARY.md` | Session closeout summary | \~70 | ### Files Modified | File | Changes | | --------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------- | | `vite.config.ts` | Registered the Knowledge Graph dev bridge in the existing dev middleware plugin | | `.spec_system/specs/phase26-session02-graph-read-bridge-registry-endpoints/spec.md` | Session spec remained the source of truth for scope and validation | | `.spec_system/specs/phase26-session02-graph-read-bridge-registry-endpoints/tasks.md` | All 22 tasks were completed and checked off | | `.spec_system/specs/phase26-session02-graph-read-bridge-registry-endpoints/implementation-notes.md` | Recorded task-by-task implementation notes and validation evidence | | `.spec_system/specs/phase26-session02-graph-read-bridge-registry-endpoints/validation.md` | Recorded the PASS validation result | | `.spec_system/state.json` | Cleared the active session and appended completion history | | `.spec_system/PRD/phase_26/PRD_phase_26.md` | Marked Session 02 complete and updated phase progress | | `package.json` | Bumped the project patch version | | `README.md` | Bumped the visible project version line | *** ## Technical Decisions 1. **Bridge module boundary**: Kept graph read endpoint code out of `vite.config.ts` and exposed a dedicated bridge module for testability and reuse. 2. **Fail-closed graph access**: Used strict id validation and path confinement so invalid ids and path escapes are rejected before any file stream begins. 3. **Seed fallback behavior**: Allowed safe missing graph artifacts to fall back to the bundled AI OS seed graph so downstream route work stays usable. *** ## Test Results | Metric | Value | | -------- | ------------ | | Tests | 2 commands | | Passed | 2 | | Coverage | Not measured | *** ## Lessons Learned 1. The registry list and graph stream paths are easier to validate when the bridge owns path normalization instead of Vite config inlining the logic. 2. Keeping response helpers centralized makes the loopback read contract easier to test and safer to extend. *** ## Future Considerations Items for future sessions: 1. Add the admin-gated graph ingest and removal bridge on the same graph directory and registry contract. 2. Consume the read bridge from the Knowledge Graph route, hook, and renderer work in later Phase 26 sessions. *** ## Session Statistics * **Tasks**: 22 completed * **Files Created**: 3 * **Files Modified**: 9 * **Tests Added**: 1 test file * **Blockers**: 0 resolved --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. 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