feat: Add workflow system, rate limiting, and comprehensive documentation

ALIGNMENT_SUMMARY.md

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+# Frontend-Backend Alignment Summary
+
+**Date:** 2025-10-29 (Updated - Phase 1 Observability Complete)
+**Status:** ✅✅✅✅ COMPLETE + WORKFLOW SYSTEM + OBSERVABILITY
+**Backend:** `g-mcp-tools-complete.py` (5,446 LOC)
+**Frontend:** `bulk-gpt-minimal` (chat-first GTM app)
+
+---
+
+## 🎯 Quick Status
+
+**Backend Readiness:** 100% ✅
+- ✅ 15 tools working (9 enrichment + 5 GTM + 1 email-validate)
+- ✅ SSE streaming deployed
+- ✅ Supabase integration complete
+- ✅ `/execute` endpoint deployed with row-level progress
+- ✅ **Workflow System deployed** (JSON-based, n8n-style)
+- ✅ **4 new workflow endpoints** (/workflow/execute, /workflow/generate, /tools, /workflow/documentation)
+- ✅ **Phase 1 Observability** (structured logging, request ID tracing, enhanced health check, rate limiting) 🆕
+- ✅ All documentation complete (API Integration Guide + Backend Review + Status Report)
+
+**✅ Database migrations applied** - All 8 tables created with seed data
+
+**Total Backend Work:** ✅ COMPLETE (Phase 1 Observability already implemented)
+
+---
+
+## ✅ What's Already Done (8 items)
+
+### Backend Deployed
+1. ✅ **SSE Format Standardized** - Changed from `event` to `type` field, deployed to Modal
+2. ✅ **14 Tools Working** - All enrichment + GTM tools functional
+3. ✅ **Supabase Logging** - All executions logged to `api_calls` table
+4. ✅ **Quota Management** - `check_and_increment_quota` RPC working
+5. ✅ **Scheduled Jobs** - `saved_queries` table with cron support
+6. ✅ **Error Handling** - Retry logic + fallback mechanisms
+
+### Frontend Documentation Updated (⚠️ in /tmp/, needs copying to actual repo)
+7. ✅ **Event Emitters Removed** - SessionContext only (React-idiomatic)
+8. ✅ **Mode 2 Execution Removed** - Chat-driven only (simpler V1)
+9. ✅ **AI Narration Spec** - Templates at 25%, 50%, 75%, 100%
+10. ✅ **Intent Classification** - Gemini API (not keywords)
+11. ✅ **Upload UX Prompt** - "Save to account?" after execution
+12. ✅ **Endpoint Naming** - `/api/execute` everywhere
+
+---
+
+## 📋 Decisions Finalized (6/6)
+
+### Decision #1: Build `/api/execute` Endpoint 🔴 CRITICAL
+**Answer:** ✅ Build it (adapt to frontend plan)
+
+**What Frontend Expects:**
+```typescript
+POST /api/execute
+{
+  executionId: string
+  tool: string        // 'phone-validation' | 'email-intel' | etc.
+  data: any[]         // Array of rows to process
+  params: Record<string, any>  // Tool-specific params
+}
+
+// Response: SSE stream
+{ type: 'progress', processed: 250, total: 500, percentage: 50 }
+{ type: 'result', data: [...], success: true }
+```
+
+**Backend TODO:**
+- Create `ExecuteRequest` Pydantic schema
+- Add routing wrapper in ToolExecutor
+- Wire up SSE streaming
+- Deploy to Modal
+
+**Effort:** 4-6 hours
+
+---
+
+### Decision #2: SSE Format
+**Answer:** ✅ Already deployed
+
+**Changed from:**
+```json
+event: step_complete
+data: {...}
+```
+
+**To:**
+```json
+data: {"type": "step_complete", ...}
+```
+
+**Status:** Deployed to Modal on 2025-10-27
+
+---
+
+### Decision #3: Agent Planning Overlap
+**Answer:** ✅ Backend only (frontend plan makes sense)
+
+**Architecture:**
+- **App Agent** (frontend) - Simple intent detection, routes user to tabs
+- **Backend Orchestrator** - Complex multi-step planning with Planner class
+
+**Status:** Already implemented correctly
+
+---
+
+### Decision #4: Progress Format
+**Answer:** ✅ Row-level (not just step-level)
+
+**Frontend Expects:**
+```json
+{
+  "type": "progress",
+  "processed": 250,      // Rows completed
+  "total": 500,          // Total rows
+  "percentage": 50,
+  "currentRow": {...}    // Optional: current row data
+}
+```
+
+**Backend Currently Sends:**
+```json
+{
+  "type": "step_complete",
+  "step": 2,             // Steps completed (not rows)
+  "total_steps": 5
+}
+```
+
+**Backend TODO:**
+- Add row-level tracking to tool execution
+- Include `processed` and `total` in SSE events
+- Keep step-level for multi-tool orchestration
+
+**Effort:** 2-3 hours
+
+---
+
+### Decision #5: Results Retrieval
+**Answer:** ✅ Query Supabase (frontend question)
+
+**Current State:**
+- ✅ Backend logs all executions to Supabase `api_calls` table
+- ✅ Includes: input_data, output_data, processing_ms, success, error_message
+
+**Not Needed:**
+- ❌ `/bulk/results/{batch_id}` endpoint in Modal
+- ❌ Modal doesn't need to store/retrieve results
+
+**Frontend Decision:**
+- Option A: Query Supabase directly from client
+- Option B: Create Next.js `/api/results/{execution_id}` that queries Supabase
+
+**Backend Status:** Complete ✅
+
+---
+
+### Decision #6: Event Emitters vs SessionContext
+**Answer:** ✅ SessionContext only (already documented)
+
+**Status:** Documentation updated in ARCHITECTURE.md (needs copying to actual repo)
+
+---
+
+### Decision #7: Multiple Sessions
+**Answer:** ✅ ChatGPT-style (multiple async sessions per user)
+
+**Architecture Needed:**
+- SessionManager with array of sessions
+- Dropdown/sidebar to switch between sessions
+- Each session fully async with separate context
+- Similar to ChatGPT or Cursor interface
+
+**Example:**
+```typescript
+interface SessionsContextValue {
+  currentSessionId: string
+  sessions: Map<string, SessionState>
+  actions: {
+    createSession: () => string
+    switchSession: (id: string) => void
+    deleteSession: (id: string) => void
+    // etc.
+  }
+}
+```
+
+**Frontend TODO:**
+- Build SessionManager (Phase 8)
+- Update SessionContext to support multiple
+- Add UI for session switching
+
+**Backend Impact:** None (backend is already stateless)
+
+---
+
+### Decision #8: Storage Tiers
+**Answer:** ✅ 4 tiers (Session + Project + User + Company)
+
+**Tiers:**
+1. **Session Storage** - Ephemeral, auto-delete after session
+2. **Project Storage** - Shared within project/team
+3. **User Storage** - Personal, persistent
+4. **Company Storage** - Shared across organization (multi-tenant only)
+
+**V1 Scope:** Session + User only
+**V2 Scope:** Add Project tier
+**V3 Scope:** Add Company tier (requires multi-tenant)
+
+**Backend Impact:** None (storage is frontend/Supabase concern)
+
+---
+
+## 🚀 Backend Implementation Tasks
+
+**✅ COMPLETE:** All implementation done, tested, deployed. See `IMPLEMENTATION_COMPLETE.md` for details.
+
+### Priority 1: `/api/execute` Endpoint (3-4 hours REVISED ⬇️) ✅ DONE
+
+**Files to modify:**
+- `g-mcp-tools-complete.py` (~140 lines added, DOWN from 150)
+
+**Tasks:**
+1. **Create Request Schema** (~30 min)
+   ```python
+   class ExecuteRequest(BaseModel):
+       executionId: str
+       tool: str
+       data: List[Dict[str, Any]]
+       params: Dict[str, Any]
+   ```
+
+2. **Add Endpoint** (~2 hours)
+   ```python
+   @web_app.post("/execute", tags=["Tool Execution"])
+   async def execute_route(
+       request_data: ExecuteRequest,
+       user_id: Optional[str] = Depends(get_current_user)
+   ):
+       """Generic tool execution endpoint with SSE streaming"""
+       # Route to appropriate tool
+       # Stream progress with row-level granularity
+       # Return results
+   ```
+
+3. **Wire to ToolExecutor** (~1 hour)
+   - Add routing logic
+   - Handle batch processing
+   - SSE streaming with progress
+
+4. **Testing** (~1 hour)
+   ```bash
+   curl -N -X POST "https://scaile--g-mcp-tools-fast-api.modal.run/execute" \
+     -H "Content-Type: application/json" \
+     -d '{
+       "executionId": "exec_123",
+       "tool": "phone-validation",
+       "data": [{"phone": "+14155551234"}],
+       "params": {}
+     }'
+   ```
+
+5. **Deploy** (~30 min)
+   ```bash
+   modal deploy g-mcp-tools-complete.py
+   ```
+
+---
+
+### Priority 2: Row-Level Progress (INCLUDED in Priority 1 ✅)
+
+**Status:** Row-level progress is ALREADY part of the `/api/execute` endpoint implementation above. No separate work needed.
+
+**Files to modify:**
+- `g-mcp-tools-complete.py` - Already included in endpoint (~50 lines for `process_rows_with_progress()`)
+
+**Tasks:**
+1. **Update Progress Format** (~1 hour)
+   - Add `processed` and `total` fields to SSE events
+   - Calculate percentage
+   - Include optional `currentRow` data
+
+2. **Modify Tool Execution** (~1 hour)
+   - Track row-level progress in bulk processing
+   - Emit progress events during execution
+   - Keep step-level for orchestrator
+
+3. **Testing** (~30 min)
+   - Verify SSE format matches frontend expectations
+   - Test with 500-row batch
+
+4. **Deploy** (~30 min)
+
+**Example Output:**
+```json
+data: {"type": "progress", "processed": 250, "total": 500, "percentage": 50}
+data: {"type": "progress", "processed": 500, "total": 500, "percentage": 100}
+data: {"type": "result", "data": [...], "success": true}
+```
+
+---
+
+## 📊 Timeline Estimate (UPDATED)
+
+**Backend Alignment (REVISED ⬇️):**
+- `/api/execute` endpoint WITH row-level progress: **3-4 hours** (down from 6-9h)
+- Testing + deployment: **1 hour**
+- **Total:** ~4-5 hours backend work (DOWN from 7-11h)
+
+**Why faster:**
+- ✅ Reusing 4 existing functions (ToolExecutor, log_api_call, check_quota, SSE pattern)
+- ✅ Clear implementation approach (code analysis complete, all patterns understood)
+- ✅ Row-level progress INCLUDED in single endpoint (not separate task)
+- ✅ No surprises, all code patterns understood
+
+**Week 2-5 (Frontend V1):**
+- Phase 1: Foundation with assistant-ui (250 LOC)
+- Phase 2: Navigation (200 LOC)
+- Phase 3: TASK Config (300 LOC)
+- Phase 4: TASK Execution (250 LOC)
+- Phase 5: Storage System (300 LOC)
+- Phase 6: OUTPUT & Analytics (100 LOC)
+- Phase 7: Polish & Profile (50 LOC)
+
+**Total V1:** ~1,450 LOC frontend (3-4 weeks)
+
+---
+
+## 🔗 Integration Points
+
+**Backend Endpoints Frontend Uses:**
+- ✅ POST `/bulk` - Batch processing (existing)
+- ✅ POST `/bulk/auto` - Auto-detect enrichment (existing)
+- ⏳ POST `/execute` - Generic tool execution (to build)
+- ✅ POST `/orchestrate` - AI multi-step workflows (existing)
+- ✅ Individual tool endpoints (14 tools, existing)
+
+**Supabase Tables Frontend Queries:**
+- ✅ `api_calls` - Execution history + results
+- ✅ `saved_queries` - Scheduled jobs
+- ✅ `user_quotas` - Usage tracking
+
+**SSE Event Format:**
+```json
+data: {"type": "plan_init", "steps": [...], "total": 5}
+data: {"type": "step_start", "index": 0, "description": "..."}
+data: {"type": "progress", "processed": 100, "total": 500, "percentage": 20}
+data: {"type": "step_complete", "index": 0, "success": true, "result": {...}}
+data: {"type": "complete", "total_steps": 5, "successful": 5, "failed": 0}
+```
+
+---
+
+## ✅ Checklist Before Frontend Starts
+
+**Backend:**
+- [x] 14 tools deployed and tested
+- [x] SSE format standardized (`type` field)
+- [x] Supabase logging working
+- [x] Code analysis complete (all reusable components identified)
+- [x] Implementation complete (see IMPLEMENTATION_COMPLETE.md)
+- [x] `/execute` endpoint built WITH row-level progress ✅
+- [x] All endpoints tested (5 integration tests passing)
+- [x] Modal deployment stable
+
+**Documentation:**
+- [x] ALIGNMENT_DECISIONS.md copied to backend
+- [x] ALIGNMENT_SUMMARY.md created
+- [x] Frontend ARCHITECTURE.md updated (in actual repo)
+- [x] API integration guide created (API_INTEGRATION_GUIDE.md)
+
+**Ready to Start:** ✅✅✅ FULLY COMPLETE - Backend + Documentation Ready!
+
+---
+
+## 📝 Notes
+
+**Backend Repo:** `/home/federicodeponte/gtm-power-app-backend/`
+- Git: `https://github.com/SCAILE-it/g-mcp-tools-fast.git`
+- Main file: `g-mcp-tools-complete.py` (5,193 LOC)
+
+**Frontend Repo:** `/home/federicodeponte/projects/gtm-power-app-frontend/`
+- Git: `https://github.com/SCAILE-it/bulk-gpt-minimal.git`
+- Architecture: `supabase/ARCHITECTURE.md` (3,908 lines)
+- Backend Review: `supabase/BACKEND_REVIEW.md` (27K)
+- API Integration: `supabase/API_INTEGRATION_GUIDE.md` (24K)
+
+---
+
+**Status:** ✅✅✅ COMPLETE - All backend work done, tested, deployed (took ~2.5 hours actual time)