Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/retellai-sdk-patterns/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill retellai-sdk-patterns. Copyright stays with the author (MIT).

Retell AI SDK Patterns

Overview

Production-ready patterns for Retell AI: client singletons, typed agent configurations, call management, and error handling.

Prerequisites

• Completed retellai-install-auth
• retell-sdk installed

Instructions

Step 1: Singleton Client

import Retell from 'retell-sdk';

let _retell: Retell | null = null;

export function getRetellClient(): Retell {
  if (!_retell) {
    _retell = new Retell({ apiKey: process.env.RETELL_API_KEY! });
  }
  return _retell;
}

Step 2: Typed Agent Configuration

interface AgentConfig {
  name: string;
  voiceId: string;
  prompt: string;
  functions?: FunctionConfig[];
  maxCallDurationMs?: number;
  endCallAfterSilenceMs?: number;
}

async function createAgent(config: AgentConfig) {
  const retell = getRetellClient();

  const llm = await retell.llm.create({
    model: 'gpt-4o',
    general_prompt: config.prompt,
    functions: config.functions,
  });

  const agent = await retell.agent.create({
    response_engine: { type: 'retell-llm', llm_id: llm.llm_id },
    voice_id: config.voiceId,
    agent_name: config.name,
    max_call_duration_ms: config.maxCallDurationMs || 300000,
    end_call_after_silence_ms: config.endCallAfterSilenceMs || 10000,
  });

  return { agentId: agent.agent_id, llmId: llm.llm_id };
}

Step 3: Call Manager with Retry

async function makeCallWithRetry(
  fromNumber: string, toNumber: string, agentId: string, maxRetries = 2
) {
  const retell = getRetellClient();
  for (let attempt = 0; attempt <= maxRetries; attempt++) {
    try {
      const call = await retell.call.createPhoneCall({
        from_number: fromNumber,
        to_number: toNumber,
        override_agent_id: agentId,
      });
      return call;
    } catch (err: any) {
      if (attempt === maxRetries || err.status < 500) throw err;
      await new Promise(r => setTimeout(r, 2000 * (attempt + 1)));
    }
  }
}

Step 4: Batch Call Campaign

async function runCallCampaign(
  numbers: string[], agentId: string, concurrency = 3, delayMs = 2000
) {
  const results: Array<{ number: string; callId?: string; error?: string }> = [];
  const queue = [...numbers];
  const active = new Set<Promise<void>>();

  while (queue.length > 0 || active.size > 0) {
    while (active.size < concurrency && queue.length > 0) {
      const number = queue.shift()!;
      const p = (async () => {
        try {
          const call = await makeCallWithRetry(process.env.RETELL_PHONE_NUMBER!, number, agentId);
          results.push({ number, callId: call.call_id });
        } catch (err: any) {
          results.push({ number, error: err.message });
        }
        await new Promise(r => setTimeout(r, delayMs));
      })();
      active.add(p);
      p.finally(() => active.delete(p));
    }
    if (active.size > 0) await Promise.race(active);
  }
  return results;
}

Output

• Singleton Retell client
• Typed agent creation with LLM configuration
• Retry logic for call creation
• Concurrent call campaign manager

Error Handling

Examples

Use an idempotency boundary around call creation

Generate a request identifier at the application edge and persist its state before invoking the Retell SDK. If the network response is lost, retrieve the existing result by that identifier or operator-visible correlation data before attempting another call. Keep retries bounded and limited to operations whose outcome can be established; this prevents a transient client failure from creating multiple customer calls.

Resources

• retell-sdk npm
• Retell AI Documentation

Next Steps

Apply in retellai-core-workflow-a for agent building.