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docs(35-03): complete client-side wiring plan

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
handoff-20260429-1057
shrimbly 5 months ago
parent
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6bef1656de
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      .planning/STATE.md
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      .planning/phases/35-large-workflow-handling/35-03-SUMMARY.md

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.planning/STATE.md

@ -10,18 +10,18 @@ See: .planning/PROJECT.md (updated 2026-01-09)
## Current Position
Phase: 35 of 35 (Large Workflow Handling)
Plan: 1 of 3 in current phase
Plan: 3 of 3 in current phase
Status: Complete
Last activity: 2026-01-31 - Completed plan 01 (Binary Stripping and Rich Workflow Context)
Last activity: 2026-01-31 - Completed plan 03 (Client-side wiring and selection chip)
Progress: ░░░░░░░░░░ 6%
Progress: ██████████ 100%
## Performance Metrics
**Velocity:**
- Total plans completed: 35
- Average duration: 7 min
- Total execution time: 4.0 hours
- Total plans completed: 37
- Average duration: 6.9 min
- Total execution time: 4.25 hours
**By Phase:**
@ -56,11 +56,11 @@ Progress: ░░░░░░░░░░ 6%
| 32. Chat UI Foundation | 2/2 | 9 min | 4.5 min |
| 33. Workflow Edit Safety | 2/2 | 5 min | 5 min |
| 34. Agentic Workflow Editing | 3/3 | 13 min | 4.3 min |
| 35. Large Workflow Handling | 1/3 | 3 min | 3 min |
| 35. Large Workflow Handling | 3/3 | 18 min | 6 min |
**Recent Trend:**
- Last 5 plans: 5 min, 8 min, <1 min, 10 min, 3 min
- Trend: Phase 35 plan 01 complete - binary stripping and rich context system implemented with TDD
- Last 5 plans: 8 min, <1 min, 10 min, 3 min, 10 min, 5 min
- Trend: Phase 35 complete - large workflow handling with selection-aware chat context (TDD + execution)
## Accumulated Context
@ -215,6 +215,6 @@ Recent decisions affecting current work:
## Session Continuity
Last session: 2026-01-31
Stopped at: Completed Phase 35 Plan 02 (Selection-Aware Subgraph Extraction)
Stopped at: Completed Phase 35 Plan 03 (Client-side wiring and selection chip) - Phase 35 COMPLETE
Resume file: None
Next action: Proceed to plan 35-03 (Chat Context Builder Integration) or continue with parallel plan 35-01
Next action: Phase 35 completes Milestone v1.4 (Agentic Workflow Builder). Ready for Milestone v1.5 (Store Refactoring) or new priorities.

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.planning/phases/35-large-workflow-handling/35-03-SUMMARY.md

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---
phase: 35-large-workflow-handling
plan: 03
subsystem: chat-integration
tags: [client-side, selection-ui, api-integration, subgraph]
requires:
- src/lib/chat/subgraphExtractor.ts (extractSubgraph)
- src/lib/chat/contextBuilder.ts (stripBinaryData)
provides:
- Selection-aware chat workflow state
- Selection chip UI in ChatPanel
- API-side subgraph context building
affects:
- src/components/WorkflowCanvas.tsx (chatWorkflowState computation)
- src/components/ChatPanel.tsx (selection UI, error handling)
- src/app/api/chat/route.ts (subgraph-aware context)
- src/lib/chat/tools.ts (system prompt)
tech-stack:
- React
- TypeScript
- Next.js API Routes
- AI SDK v6
key-files:
- src/components/WorkflowCanvas.tsx (chatWorkflowState with stripped data)
- src/components/ChatPanel.tsx (selection chip UI)
- src/app/api/chat/route.ts (subgraph extraction)
- src/lib/chat/tools.ts (system prompt updates)
key-decisions:
- Client-side binary stripping (not API-side) for smaller HTTP payloads
- selectedNodeIds derived from node.selected state
- Selection chip dismissible per session (resets when selection changes)
- Server-side subgraph extraction in API route
- System prompt includes metadata placeholder notes
- 413 error handling for oversized payloads
duration: 5 minutes
completed: 2026-01-31
---
# Client-side wiring, ChatPanel selection chip, API subgraph integration
## Performance
**Started:** 2026-01-31
**Completed:** 2026-01-31
**Duration:** ~5 minutes
**Code output:** 4 files modified
**Efficiency:** Clean execution phase, all tasks completed successfully
## Accomplishments
Completed the full integration of selection-aware chat context for large workflows:
1. **Client-side binary stripping** - `chatWorkflowState` uses `stripBinaryData()` to create rich but compact node data, removing base64 images/videos and large arrays while preserving all parameters and settings
2. **Selection-aware subgraph scoping** - `selectedNodeIds` computed from `nodes.filter(n => n.selected)` and passed to chat API for focused context
3. **Selection chip UI** - Dismissible "Focused on N selected nodes" chip appears above chat input when nodes are selected, providing clear visual feedback
4. **API-side subgraph extraction** - `extractSubgraph()` called in chat API route before context building, enabling detailed focus on selected nodes with lightweight summaries of the rest
5. **Error handling** - Oversized payload errors return friendly 413 message to user
6. **System prompt updates** - Enhanced with metadata placeholder notes and subgraph summary section to guide LLM understanding of stripped context
## Task Commits
| Task | Commit | Description |
|------|--------|-------------|
| 1 | aaafef4 | feat(35-03): rewrite chatWorkflowState with selection context |
| 2 | 89fca5f | feat(35-03): update API route and system prompt for subgraph-aware context |
| 3 | (checkpoint) | Human verification - approved by user |
## Files Created/Modified
**Created:**
- None (all modifications to existing files)
**Modified:**
- `src/components/WorkflowCanvas.tsx` - Rich stripped `chatWorkflowState` with `selectedNodeIds`
- `src/components/ChatPanel.tsx` - Selection chip UI, `selectedNodeIds` forwarding, error handling
- `src/app/api/chat/route.ts` - Subgraph-aware context building, 413 error handling
- `src/lib/chat/tools.ts` - System prompt with metadata awareness and subgraph summary
## Decisions Made
1. **Client-side stripping** - Call `stripBinaryData()` in WorkflowCanvas (not API-side) to reduce HTTP payload size before network transmission
2. **Selection derivation** - Compute `selectedNodeIds` from `nodes.filter(n => n.selected).map(n => n.id)` rather than maintaining separate state
3. **Chip dismissibility** - Selection chip dismissible per session using local `useState`, resets when selection changes (chip reappears)
4. **Server-side extraction** - Subgraph extraction happens in API route (not client-side) to keep client bundle smaller and logic centralized
5. **Metadata placeholders** - System prompt explicitly notes that `[image: ...]`, `[video: ...]`, `[N image(s)]` are non-editable metadata placeholders representing stripped binary data
6. **Error handling** - 413 status for token/size issues with friendly message: "Workflow too large to send. Try selecting fewer nodes."
## Deviations from Plan
None. Implementation followed plan exactly:
- Binary stripping integrated client-side
- Selection chip UI implemented as specified
- API route modified for subgraph-aware context
- System prompt enhanced with metadata notes
- All checkpoint requirements met
## Issues Encountered
None. Clean execution with no blockers. All tasks completed successfully and checkpoint approved.
## Next Phase Readiness
**Phase 35 complete** - All 3 plans finished:
- Plan 01: Binary stripping and rich workflow context (TDD)
- Plan 02: Selection-aware subgraph extraction (TDD)
- Plan 03: Client-side wiring and integration (execution)
**System capabilities:**
- Chat agent receives rich stripped node data with all parameters
- Users can select nodes to focus LLM attention on specific workflow areas
- Selection chip provides clear visual feedback
- Subgraph extraction enables scalable context for large workflows (50+ nodes)
- Error handling prevents silent failures from oversized payloads
**Ready for next milestone** - Phase 35 completes Milestone v1.4 (Agentic Workflow Builder). Ready to proceed to Milestone v1.5 (Store Refactoring) or address any new priorities.
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