---

name: fireflies-sdk-patterns description: | Apply production-ready Fireflies.ai SDK patterns for TypeScript and Python. Use when implementing Fireflies.ai integrations, refactoring SDK usage, or establishing team coding standards for Fireflies.ai. Trigger with phrases like "fireflies SDK patterns", "fireflies best practices", "fireflies code patterns", "idiomatic fireflies". allowed-tools: Read, Write, Edit version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io

Fireflies.ai SDK Patterns

Overview

Production-ready patterns for Fireflies.ai SDK usage in TypeScript and Python.

Prerequisites

• Completed fireflies-install-auth setup
• Familiarity with async/await patterns
• Understanding of error handling best practices

Instructions

Step 1: Implement Singleton Pattern (Recommended)

// src/fireflies/client.ts
import { Fireflies.aiClient } from '@fireflies/sdk';

let instance: Fireflies.aiClient | null = null;

export function getFireflies.aiClient(): Fireflies.aiClient {
  if (!instance) {
    instance = new Fireflies.aiClient({
      apiKey: process.env.FIREFLIES_API_KEY!,
      // Additional options
    });
  }
  return instance;
}

Step 2: Add Error Handling Wrapper

import { Fireflies.aiError } from '@fireflies/sdk';

async function safeFireflies.aiCall<T>(
  operation: () => Promise<T>
): Promise<{ data: T | null; error: Error | null }> {
  try {
    const data = await operation();
    return { data, error: null };
  } catch (err) {
    if (err instanceof Fireflies.aiError) {
      console.error({
        code: err.code,
        message: err.message,
      });
    }
    return { data: null, error: err as Error };
  }
}

Step 3: Implement Retry Logic

async function withRetry<T>(
  operation: () => Promise<T>,
  maxRetries = 3,
  backoffMs = 1000
): Promise<T> {
  for (let attempt = 1; attempt <= maxRetries; attempt++) {
    try {
      return await operation();
    } catch (err) {
      if (attempt === maxRetries) throw err;
      const delay = backoffMs * Math.pow(2, attempt - 1);
      await new Promise(r => setTimeout(r, delay));
    }
  }
  throw new Error('Unreachable');
}

Output

• Type-safe client singleton
• Robust error handling with structured logging
• Automatic retry with exponential backoff
• Runtime validation for API responses

Error Handling

Pattern	Use Case	Benefit
Safe wrapper	All API calls	Prevents uncaught exceptions
Retry logic	Transient failures	Improves reliability
Type guards	Response validation	Catches API changes
Logging	All operations	Debugging and monitoring

Examples

Factory Pattern (Multi-tenant)

const clients = new Map<string, Fireflies.aiClient>();

export function getClientForTenant(tenantId: string): Fireflies.aiClient {
  if (!clients.has(tenantId)) {
    const apiKey = getTenantApiKey(tenantId);
    clients.set(tenantId, new Fireflies.aiClient({ apiKey }));
  }
  return clients.get(tenantId)!;
}

Python Context Manager

from contextlib import asynccontextmanager
from fireflies import Fireflies.aiClient

@asynccontextmanager
async def get_fireflies_client():
    client = Fireflies.aiClient()
    try:
        yield client
    finally:
        await client.close()

Zod Validation

import { z } from 'zod';

const firefliesResponseSchema = z.object({
  id: z.string(),
  status: z.enum(['active', 'inactive']),
  createdAt: z.string().datetime(),
});

Resources

• Fireflies.ai SDK Reference
• Fireflies.ai API Types
• Zod Documentation

Next Steps

Apply patterns in fireflies-core-workflow-a for real-world usage.