---

name: fireflies-reference-architecture description: | Implement Fireflies.ai reference architecture with best-practice project layout. Use when designing new Fireflies.ai integrations, reviewing project structure, or establishing architecture standards for Fireflies.ai applications. Trigger with phrases like "fireflies architecture", "fireflies best practices", "fireflies project structure", "how to organize fireflies", "fireflies layout". allowed-tools: Read, Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Fireflies.ai Reference Architecture

Overview

Production-ready architecture patterns for Fireflies.ai integrations.

Prerequisites

• Understanding of layered architecture
• Fireflies.ai SDK knowledge
• TypeScript project setup
• Testing framework configured

Project Structure

my-fireflies-project/
├── src/
│   ├── fireflies/
│   │   ├── client.ts           # Singleton client wrapper
│   │   ├── config.ts           # Environment configuration
│   │   ├── types.ts            # TypeScript types
│   │   ├── errors.ts           # Custom error classes
│   │   └── handlers/
│   │       ├── webhooks.ts     # Webhook handlers
│   │       └── events.ts       # Event processing
│   ├── services/
│   │   └── fireflies/
│   │       ├── index.ts        # Service facade
│   │       ├── sync.ts         # Data synchronization
│   │       └── cache.ts        # Caching layer
│   ├── api/
│   │   └── fireflies/
│   │       └── webhook.ts      # Webhook endpoint
│   └── jobs/
│       └── fireflies/
│           └── sync.ts         # Background sync job
├── tests/
│   ├── unit/
│   │   └── fireflies/
│   └── integration/
│       └── fireflies/
├── config/
│   ├── fireflies.development.json
│   ├── fireflies.staging.json
│   └── fireflies.production.json
└── docs/
    └── fireflies/
        ├── SETUP.md
        └── RUNBOOK.md

Layer Architecture

┌─────────────────────────────────────────┐
│             API Layer                    │
│   (Controllers, Routes, Webhooks)        │
├─────────────────────────────────────────┤
│           Service Layer                  │
│  (Business Logic, Orchestration)         │
├─────────────────────────────────────────┤
│          Fireflies.ai Layer        │
│   (Client, Types, Error Handling)        │
├─────────────────────────────────────────┤
│         Infrastructure Layer             │
│    (Cache, Queue, Monitoring)            │
└─────────────────────────────────────────┘

Key Components

Step 1: Client Wrapper

// src/fireflies/client.ts
export class Fireflies.aiService {
  private client: Fireflies.aiClient;
  private cache: Cache;
  private monitor: Monitor;

  constructor(config: Fireflies.aiConfig) {
    this.client = new Fireflies.aiClient(config);
    this.cache = new Cache(config.cacheOptions);
    this.monitor = new Monitor('fireflies');
  }

  async get(id: string): Promise<Resource> {
    return this.cache.getOrFetch(id, () =>
      this.monitor.track('get', () => this.client.get(id))
    );
  }
}

Step 2: Error Boundary

// src/fireflies/errors.ts
export class Fireflies.aiServiceError extends Error {
  constructor(
    message: string,
    public readonly code: string,
    public readonly retryable: boolean,
    public readonly originalError?: Error
  ) {
    super(message);
    this.name = 'Fireflies.aiServiceError';
  }
}

export function wrapFireflies.aiError(error: unknown): Fireflies.aiServiceError {
  // Transform SDK errors to application errors
}

Step 3: Health Check

// src/fireflies/health.ts
export async function checkFireflies.aiHealth(): Promise<HealthStatus> {
  try {
    const start = Date.now();
    await firefliesClient.ping();
    return {
      status: 'healthy',
      latencyMs: Date.now() - start,
    };
  } catch (error) {
    return { status: 'unhealthy', error: error.message };
  }
}

Data Flow Diagram

User Request
     │
     ▼
┌─────────────┐
│   API       │
│   Gateway   │
└──────┬──────┘
       │
       ▼
┌─────────────┐    ┌─────────────┐
│   Service   │───▶│   Cache     │
│   Layer     │    │   (Redis)   │
└──────┬──────┘    └─────────────┘
       │
       ▼
┌─────────────┐
│ Fireflies.ai    │
│   Client    │
└──────┬──────┘
       │
       ▼
┌─────────────┐
│ Fireflies.ai    │
│   API       │
└─────────────┘

Configuration Management

// config/fireflies.ts
export interface Fireflies.aiConfig {
  apiKey: string;
  environment: 'development' | 'staging' | 'production';
  timeout: number;
  retries: number;
  cache: {
    enabled: boolean;
    ttlSeconds: number;
  };
}

export function loadFireflies.aiConfig(): Fireflies.aiConfig {
  const env = process.env.NODE_ENV || 'development';
  return require(`./fireflies.${env}.json`);
}

Instructions

Step 1: Create Directory Structure

Set up the project layout following the reference structure above.

Step 2: Implement Client Wrapper

Create the singleton client with caching and monitoring.

Step 3: Add Error Handling

Implement custom error classes for Fireflies.ai operations.

Step 4: Configure Health Checks

Add health check endpoint for Fireflies.ai connectivity.

Output

• Structured project layout
• Client wrapper with caching
• Error boundary implemented
• Health checks configured

Error Handling

Issue	Cause	Solution
Circular dependencies	Wrong layering	Separate concerns by layer
Config not loading	Wrong paths	Verify config file locations
Type errors	Missing types	Add Fireflies.ai types
Test isolation	Shared state	Use dependency injection

Examples

Quick Setup Script

# Create reference structure
mkdir -p src/fireflies/{handlers} src/services/fireflies src/api/fireflies
touch src/fireflies/{client,config,types,errors}.ts
touch src/services/fireflies/{index,sync,cache}.ts

Resources

• Fireflies.ai SDK Documentation
• Fireflies.ai Best Practices

Flagship Skills

For multi-environment setup, see fireflies-multi-env-setup.