Michael Chihlas fa61376303
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feat(pilot): Phase 5 — inline Script Generator integration
Wires the SuggestedFix card to an inline panel that handles both cases:
template-matched fixes open the Script Library generator with parameters
pre-filled from session context; un-matched fixes open the three-option
dialog (one_off / draft_template / build_template). The decision endpoint
records the path choice with side effects: draft_template persists a
draft_templates row via a Sonnet-driven TemplateExtractionService;
build_template returns a redirect to the Script Builder; one_off just
records the choice.

Backend:
- TemplateExtractionService: drafts a parameter schema from a concrete
  rendered script. Conservative by default ("prefer fewer parameters").
  Round-trip-validates that templated_body only references declared
  parameters; missing-key mismatch falls back to the original script
  with no params. LLM/parse failures fall back identically — the
  engineer can still create a draft and refine in the post-resolve
  prompt (Phase 6).
- /suggested-fixes/{fix_id}/decision side effects:
  * one_off → returns rendered_script (engineer's edited version or the
    fix's ai_drafted_script verbatim)
  * draft_template → same + creates draft_templates row with extracted
    params, returns draft_template_id
  * build_template → returns redirect_path=/scripts/builder?from_session=
    &fix= so the frontend can navigate to the builder pre-loaded
- 400 when a non-template fix has no ai_drafted_script (template-matched
  fixes take the dedicated /scripts/generate path, not this endpoint).
- 12 tests: TemplateExtractionService parse + fallback paths, all four
  decision branches, edited_script override, missing-script 400.

Frontend:
- src/components/pilot/script/{TemplateMatchPanel, NoTemplateDialog,
  ParameterizationPreview}.tsx — inline panels rendered in the task
  lane's bottom slot when the engineer clicks a SuggestedFix card.
- TemplateMatchPanel: loads template via /scripts/templates/{id},
  pre-fills params from fix.ai_drafted_parameters with cyan "from
  session" tags, generates via existing /scripts/generate (already
  bumps state_version on ai_session_id from Phase 3). 404 falls back
  with a clear message instead of erroring.
- NoTemplateDialog: shows the AI-drafted script with proposed parameter
  values highlighted in amber via ParameterizationPreview; three option
  cards with the middle (draft_template) flagged Recommended; inline
  edit on the script body before deciding.
- SuggestedFix card now clickable: onActivate toggles the inline panel.
- AssistantChatPage: scriptPanelOpen state + handleScriptDecision that
  navigates on build_template and toasts on the other paths. Active fix
  changes auto-close the panel so engineers don't act on stale state.
- Cmd+K → "Open inline Script Generator" palette entry surfaces only on
  /pilot/:id routes; fires a window event the chat page subscribes to.
  No Resolve shortcut added per Section 14 decision (browser ⌘R conflict).

Verified 2026-04-22 against the dev stack:
- one_off / draft_template / build_template all return the right shape
  with real Sonnet TemplateExtractionService for the draft path.
- Conservative extraction confirmed: cmdkey + Restart-Process script
  yielded zero proposed parameters as intended.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-22 00:15:29 -04:00

ResolutionFlow

Stop writing ticket notes. Start generating them.

ResolutionFlow is an AI-powered troubleshooting platform for MSP professionals. Engineers follow guided flows while an AI copilot assists — and documentation writes itself as a byproduct of the work.

Production: resolutionflow.com


Quick Start

# Prerequisites: Docker, Python 3.11+, Node.js 20+

# Start PostgreSQL
docker start patherly_postgres

# Backend
cd backend
source venv/bin/activate
pip install -r requirements.txt
alembic upgrade head
uvicorn app.main:app --reload

# Frontend (separate terminal)
cd frontend
npm install
npm run dev

See DEV-ENV.md for full environment setup (devserver, Docker, CORS).


Features

FlowPilot AI Copilot

Like having a senior engineer on every call. FlowPilot guides troubleshooting decisions, suggests next steps with context-aware intelligence, and automatically captures documentation as a byproduct of the session.

  • Confidence-tiered model routing (fast responses for simple steps, deeper reasoning for complex decisions)
  • AI-generated ticket summaries and session documentation
  • Standalone assistant chat with RAG for open-ended troubleshooting
  • Knowledge Flywheel: AI analyzes completed sessions and proposes new flows automatically

Guided Flows

  • Troubleshooting Flows — Decision trees with branching paths for diagnosing issues
  • Procedural Flows (Projects) — Step-by-step checklists for onboarding, migrations, deployments
  • Maintenance Flows — Scheduled recurring tasks with batch execution across multiple targets
  • Visual Flow Editor with drag-and-drop canvas, undo/redo, markdown support
  • AI Flow Builder — describe what you need, get a complete flow generated

Auto-Documentation

Every session generates timestamped, detailed notes formatted for your PSA. Engineers never write another ticket note.

  • Export to Markdown, plain text, or HTML
  • Sensitive data redaction
  • One-click push to ConnectWise PSA tickets

ConnectWise PSA Integration

  • Post session documentation directly to ConnectWise tickets as internal notes
  • Pull ticket details and client context into FlowPilot sessions
  • Member mapping between ResolutionFlow and ConnectWise users
  • Credentials encrypted at rest (Fernet), stored per-team

Team & Knowledge Management

  • Role-based access (super_admin, team_admin, engineer, viewer)
  • Shared flow library with categories, tags, folders, full-text search
  • Step Library — reusable troubleshooting steps with ratings and reviews
  • Session sharing via link (authenticated and public views)
  • Escalation workflow with AI-enhanced briefing packages
  • Flow proposals from AI analysis (review queue for team leads)

Tech Stack

Layer Technology
Frontend React 19, TypeScript, Vite, Tailwind CSS v4
State Zustand (immer + zundo for undo/redo)
Routing React Router v7
Canvas @xyflow/react (React Flow) + dagre
Backend Python FastAPI, async SQLAlchemy 2.0 + asyncpg
Database PostgreSQL 16
Migrations Alembic (75+ migrations)
Auth JWT (python-jose) + bcrypt, refresh token rotation
AI Anthropic Claude API (tiered model routing)
Embeddings Voyage AI (semantic search)
Scheduling APScheduler 3.x (async)
Analytics PostHog
Hosting Railway (auto-deploy on push to main)

Project Structure

patherly/
├── backend/
│   ├── app/
│   │   ├── main.py                 # FastAPI entry point
│   │   ├── api/endpoints/          # Route handlers (35+ endpoints)
│   │   ├── core/                   # Config, database, permissions, security
│   │   ├── models/                 # SQLAlchemy models
│   │   ├── schemas/                # Pydantic schemas
│   │   └── services/psa/           # PSA provider abstraction layer
│   ├── alembic/                    # Database migrations
│   └── tests/                      # Integration tests (100+)
├── frontend/
│   ├── src/
│   │   ├── components/             # UI components by domain
│   │   ├── pages/                  # Page components
│   │   ├── store/                  # Zustand stores
│   │   └── types/                  # TypeScript interfaces
├── docs/                           # Design docs, plans, ConnectWise reference
├── brand-assets/                   # SVGs, brand guide
├── CLAUDE.md                       # AI assistant project context
├── CURRENT-STATE.md                # Detailed feature status
└── CHANGELOG.md                    # Release history

Running Tests

# Backend integration tests
cd backend
pytest --override-ini="addopts="

# Frontend build (stricter than tsc --noEmit)
cd frontend
npm run build

Documentation

Document Purpose
CLAUDE.md Full project context for AI-assisted development
CURRENT-STATE.md Detailed feature status
03-DEVELOPMENT-ROADMAP.md Development roadmap
UI-DESIGN-SYSTEM.md Design system (Slate & Ice)
DEV-ENV.md Development environment setup
CHANGELOG.md Release history

License

Proprietary. All rights reserved.

Description
Troubleshooting decision tree application for MSP engineers - automatically generates professional documentation from guided diagnostic workflows
Readme 16 MiB
Languages
Python 54.7%
TypeScript 43.5%
HTML 1.1%
CSS 0.6%