ReddRadar
Agent skill
retellai-sdk-patterns
Apply production-ready Retell AI SDK patterns for TypeScript and Python. Use when implementing Retell AI integrations, refactoring SDK usage, or establishing team coding standards for Retell AI. Trigger with phrases like "retellai SDK patterns", "retellai best practices", "retellai code patterns", "idiomatic retellai".
Stars
163
Forks
31
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/retellai-sdk-patterns
SKILL.md
Retell AI SDK Patterns
Overview
Production-ready patterns for Retell AI SDK usage in TypeScript and Python.
Prerequisites
- Completed
retellai-install-authsetup - Familiarity with async/await patterns
- Understanding of error handling best practices
Instructions
Step 1: Implement Singleton Pattern (Recommended)
typescript
// src/retellai/client.ts
import { RetellAIClient } from '@retellai/sdk';
let instance: RetellAIClient | null = null;
export function getRetell AIClient(): RetellAIClient {
if (!instance) {
instance = new RetellAIClient({
apiKey: process.env.RETELLAI_API_KEY!,
// Additional options
});
}
return instance;
}
Step 2: Add Error Handling Wrapper
typescript
import { Retell AIError } from '@retellai/sdk';
async function safeRetell 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 Retell AIError) {
console.error({
code: err.code,
message: err.message,
});
}
return { data: null, error: err as Error };
}
}
Step 3: Implement Retry Logic
typescript
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)
typescript
const clients = new Map<string, RetellAIClient>();
export function getClientForTenant(tenantId: string): RetellAIClient {
if (!clients.has(tenantId)) {
const apiKey = getTenantApiKey(tenantId);
clients.set(tenantId, new RetellAIClient({ apiKey }));
}
return clients.get(tenantId)!;
}
Python Context Manager
python
from contextlib import asynccontextmanager
from retellai import RetellAIClient
@asynccontextmanager
async def get_retellai_client():
client = RetellAIClient()
try:
yield client
finally:
await client.close()
Zod Validation
typescript
import { z } from 'zod';
const retellaiResponseSchema = z.object({
id: z.string(),
status: z.enum(['active', 'inactive']),
createdAt: z.string().datetime(),
});
Resources
Next Steps
Apply patterns in retellai-core-workflow-a for real-world usage.
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