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".
From retellai-packnpx claudepluginhub nickloveinvesting/nick-love-plugins --plugin retellai-packThis skill is limited to using the following tools:
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Migrates code, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to Opus 4.5, updating model strings on Anthropic, AWS, GCP, Azure platforms.
Details PluginEval's skill quality evaluation: 3 layers (static, LLM judge), 10 dimensions, rubrics, formulas, anti-patterns, badges. Use to interpret scores, improve triggering, calibrate thresholds.
Production-ready patterns for Retell AI SDK usage in TypeScript and Python.
retellai-install-auth setup// 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;
}
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 };
}
}
async function withRetry<T>(
operation: () => Promise<T>,
maxRetries = 3,
backoffMs = 1000 # 1000: 1 second in ms
): 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');
}
| 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 |
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)!;
}
from contextlib import asynccontextmanager
from retellai import RetellAIClient
@asynccontextmanager
async def get_retellai_client():
client = RetellAIClient()
try:
yield client
finally:
await client.close()
import { z } from 'zod';
const retellaiResponseSchema = z.object({
id: z.string(),
status: z.enum(['active', 'inactive']),
createdAt: z.string().datetime(),
});
Apply patterns in retellai-core-workflow-a for real-world usage.