Fireworks AI 429 Too Many Requests on serverless inference

TL;DR

For a 429 on serverless, wait briefly and retry with exponential backoff, smooth sudden bursts or spread traffic more evenly over time, check the rate-limit response headers returned with the requests, and review the serverless rate limits if more headroom is needed.

Fix

1. For a 429 on serverless, wait briefly and retry with exponential backoff, smooth sudden bursts or spread traffic more evenly over time, check the rate-limit response headers returned with the requests, and review the serverless rate limits if more headroom is needed. Expected: you can confirm this matches your situation.

When to use

• You are dealing with this situation.
• The symptom matches: Fireworks AI 429 Too Many Requests on serverless inference.

When NOT to use

• Unrelated issues with a different cause.
• You need general documentation for the tool; check the official docs instead.

Compatibility

Reported per the linked source. Source: https://docs.fireworks.ai/guides/inference-error-codes.

Variant phrasings

Fireworks AI 429 Too Many Requests on serverless inference

Why it happens

Inference calls to Fireworks AI fail with HTTP 429 Too Many Requests. On serverless deployments this means the account has exceeded its current serverless request or TPM limit; Fireworks uses a public rate-limit policy combining request-rate limits with adaptive TPM limits designed to prevent very spiky traffic.

Edge cases

• If your error message differs even slightly, this is probably a different issue; search the exact text.
• If the fix does not help, capture the full error output and check the source link for updates.

Source

https://docs.fireworks.ai/guides/inference-error-codes

Source: Inference calls to Fireworks AI fail with HTTP 429 Too Many Requests. On serverless deployments this means the account has exceeded its current serverless request or TPM limit; Fireworks uses a public rate-limit policy combining request-rate limits with adaptive TPM limits designed to prevent very spiky traffic.

Verified resolution: [Fireworks AI docs, Inference Error Codes]: For a 429 on serverless, wait briefly and retry with exponential backoff, smooth sudden bursts or spread traffic more evenly over time, check the rate-limit response headers returned with the requests, and review the serverless rate limits if more headroom is needed. For dedicated capacity with no serverless rate limits, switch to an on-demand deployment.

Source URL: https://docs.fireworks.ai/guides/inference-error-codes