Together AI Production Checklist

Overview

Together AI provides OpenAI-compatible inference across 100+ open-source models (Llama, Mixtral, Qwen, FLUX) plus fine-tuning and batch processing. A production integration routes completions, embeddings, or image generation through Together's API. Failures mean inference latency spikes, model availability gaps, or unexpected cost overruns from uncontrolled batch jobs.

Authentication & Secrets

• TOGETHER_API_KEY stored in secrets manager (not source code)
• API key restricted to production workspace
• Key rotation schedule documented (90-day cycle)
• Separate keys for dev/staging/prod environments
• Fine-tuning job tokens scoped separately from inference tokens

API Integration

• Production base URL configured (https://api.together.xyz/v1)
• Rate limit handling with exponential backoff
• Model IDs validated against client.models.list() before deployment
• Completion streaming implemented for real-time use cases
• Embedding batch size optimized (max 2048 inputs per request)
• Batch inference configured for non-real-time workloads (50% cost savings)
• Fallback model configured if primary model is unavailable

Error Handling & Resilience

• Circuit breaker configured for Together API outages
• Retry with backoff for 429/5xx responses
• Model-not-found errors caught before user-facing requests
• Token usage tracked per request to prevent budget overruns
• Fine-tuning job failure alerts configured
• Timeout handling for long-running generation requests (>30s)

Monitoring & Alerting

• API latency tracked per model and endpoint (chat, embeddings, images)
• Error rate alerts set (threshold: >5% over 5 minutes)
• Token consumption monitored against daily/monthly budget caps
• Model availability checked (Together status page integration)
• Batch job completion rate tracked

Validation Script

async function checkTogetherReadiness(): Promise<void> {
  const checks: { name: string; pass: boolean; detail: string }[] = [];
  // API connectivity
  try {
    const res = await fetch('https://api.together.xyz/v1/models', {
      headers: { Authorization: `Bearer ${process.env.TOGETHER_API_KEY}` },
    });
    checks.push({ name: 'Together API', pass: res.ok, detail: res.ok ? 'Connected' : `HTTP ${res.status}` });
  } catch (e: any) { checks.push({ name: 'Together API', pass: false, detail: e.message }); }
  // Credentials present
  checks.push({ name: 'API Key Set', pass: !!process.env.TOGETHER_API_KEY, detail: process.env.TOGETHER_API_KEY ? 'Present' : 'MISSING' });
  // Inference test
  try {
    const res = await fetch('https://api.together.xyz/v1/chat/completions', {
      method: 'POST',
      headers: { Authorization: `Bearer ${process.env.TOGETHER_API_KEY}`, 'Content-Type': 'application/json' },
      body: JSON.stringify({ model: 'meta-llama/Llama-3-8b-chat-hf', messages: [{ role: 'user', content: 'ping' }], max_tokens: 5 }),
    });
    checks.push({ name: 'Inference', pass: res.ok, detail: res.ok ? 'Model responding' : `HTTP ${res.status}` });
  } catch (e: any) { checks.push({ name: 'Inference', pass: false, detail: e.message }); }
  for (const c of checks) console.log(`[${c.pass ? 'PASS' : 'FAIL'}] ${c.name}: ${c.detail}`);
}
checkTogetherReadiness();

Error Handling

Resources

• Together AI Docs
• API Reference
• Model List

Next Steps

See together-security-basics for API key management and cost controls.