Michael Chihlas 2375948b7a feat(auth): distinguish idle expiry from invalid refresh tokens
Second commit in the session-expiration-policy series. Lands the
error-detail taxonomy from §4.10 of the plan; no UI-visible change yet
because the frontend interceptor (commit 7) doesn't read the new detail
strings, but the wire is now ready for it.

Today every /auth/refresh failure returns 401 "Invalid refresh token"
regardless of cause, so the frontend has no way to distinguish "your
session ended for security" from "we don't recognize this token at
all." This commit introduces:

- decode_refresh_token_strict(): wraps jose.jwt.decode and raises a new
  IdleTokenExpired exception (from ExpiredSignatureError) so callers
  can branch on idle expiry. All other jose failures still propagate
  as JWTError. The legacy decode_token() is preserved for access-token,
  password-reset, and email-verification paths that don't need the
  distinction.
- get_refresh_token_payload(): now maps IdleTokenExpired ->
  "session_expired_idle", JWTError and wrong-type tokens ->
  "invalid_refresh_token".
- test_session_policy.py: new test file (will accumulate cases across
  the series). Three tests for the taxonomy: idle-expired returns
  session_expired_idle; wrong type returns invalid_refresh_token; bad
  signature returns invalid_refresh_token.

20/20 across test_session_policy + test_auth + test_oauth_callbacks.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-13 16:11:01 -04:00
2026-04-24 23:17:06 -04:00
2026-04-24 23:17:06 -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 3.12, Node.js 20+

# Start PostgreSQL (and the rest of the dev stack)
docker compose -f docker-compose.dev.yml up -d

# 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

resolutionflow/
├── backend/
│   ├── app/
│   │   ├── main.py                 # FastAPI entry point
│   │   ├── api/endpoints/          # Route handlers (50+ endpoints)
│   │   ├── core/                   # Config, database, permissions, security
│   │   ├── models/                 # SQLAlchemy models
│   │   ├── schemas/                # Pydantic schemas
│   │   └── services/psa/           # PSA provider abstraction layer
│   ├── alembic/                    # Database migrations
│   ├── scripts/                    # Seed + sync scripts (incl. sync_stripe_plan_ids.py)
│   └── tests/                      # Integration tests (100+)
├── frontend/
│   ├── src/
│   │   ├── components/             # UI components by domain
│   │   ├── pages/                  # Page components
│   │   ├── store/                  # Zustand stores
│   │   └── types/                  # TypeScript interfaces
├── .ai/                            # Dual-agent handoff system (PROJECT_CONTEXT, HANDOFF, etc.)
├── docs/                           # Design docs, plans, ConnectWise reference
├── brand-assets/                   # SVGs, brand guide
├── CLAUDE.md                       # AI assistant project context (Claude Code)
├── AGENTS.md                       # AI assistant project context (Codex; shared protocol with CLAUDE.md)
├── CURRENT-STATE.md                # Detailed feature status
├── DESIGN-SYSTEM.md                # Visual + interaction design system
├── PRODUCT.md                      # Design intent and brand personality
└── CHANGELOG.md                    # Release history

The on-disk repo path is resolutionflow/. patherly is the legacy internal name — still appears in some Railway service names and the prod DB name. Treat as an alias, not canonical.


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 Project context for Claude Code
AGENTS.md Project context for Codex (shared protocol with CLAUDE.md)
.ai/PROJECT_CONTEXT.md Stable architectural truth
CURRENT-STATE.md Detailed feature status
03-DEVELOPMENT-ROADMAP.md Development roadmap
DESIGN-SYSTEM.md Visual + interaction design system (charcoal palette + electric blue accent)
PRODUCT.md Design intent, users, brand personality
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%