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Fast Debug Guide for API 401, 402, 429, 5xx

A quick triage before you dig in

When an API request fails, do not start by rewriting your app. First, classify the failure by status code and confirm which layer is broken: authentication, billing, throttling, or the provider itself. Capture the full response body, status code, and headers. If you are using a relay like 59API, also note the exact base URL: https://api.59api.com. That small detail catches a surprising number of problems.

For busy developers, the fastest path is: reproduce with a single request, inspect the error payload, then test the same request in a minimal client such as curl or a tiny SDK script. If the minimal version fails too, you have a real API issue, not a frontend bug.

401 Unauthorized: check identity first

A 401 usually means your request is missing valid credentials or is sending them in the wrong place. Look for expired keys, typos, incorrect environment variables, or a broken authorization header. If you are calling 59API, make sure your client is pointing to the relay base URL and not directly to another provider endpoint. Relays are often compatible with Claude Code, Codex, and OpenAI SDKs, but the credentials still need to be correct.

• Confirm the API key is present in the runtime environment, not only on your laptop.
• Verify the Authorization header is being set on every request.
• Check whether your SDK is reading a stale cached key after a deploy.
• Try a single request with a fresh key to rule out secret rotation issues.

If you recently switched providers, review model and endpoint names as well. A valid key sent to the wrong base URL can look like an auth failure even when the key itself is fine.

402 Payment Required: treat it as a balance or plan problem

Not every API uses 402, but many relays and billing layers do when funds or quota are exhausted. If you see 402, assume the request was accepted technically but blocked by account state. With 59API’s pay-as-you-go model, this often means your balance is empty, your spending limit is reached, or your account has not been fully activated.

• Check your remaining balance and usage dashboard.
• Look for per-model pricing differences, since larger models cost more per token.
• Verify whether your account needs a top-up before retries will succeed.
• Review any team or project limits that may be capping spend.

This is where 59API can be especially convenient for cost-conscious teams: it offers cheap, pay-as-you-go access to native, official-quality Claude and GPT models, so you avoid paying for more capacity than you need. It also includes a referral rebate, which can reduce ongoing costs if you share it with other developers.

429 Too Many Requests: fix bursts, not just retries

A 429 means your client is sending requests faster than the service allows. The mistake many teams make is adding a blind retry loop. That can turn a small spike into a bigger failure. Instead, find the source of the burst and smooth it out.

• Throttle concurrent requests in your worker queue.
• Add exponential backoff with jitter, not fixed-interval retries.
• Respect any Retry-After header returned by the API.
• Batch where possible, especially for background jobs and bulk generation.
• Separate user-facing traffic from batch traffic so one does not starve the other.

If your app is scaling fast, a relay like 59API can help keep costs predictable while you tune throughput. Because it is compatible with standard OpenAI-style SDKs, you can usually add rate-limit handling once and reuse it across multiple model calls.

5xx errors: assume the service is struggling, then isolate the impact

5xx responses usually mean the server, upstream provider, or relay had a transient problem. Do not keep hammering the endpoint. First, confirm whether the error is widespread or limited to one model, one prompt shape, or one account.

• Retry the exact same request after a short delay.
• Switch to a smaller or different model to test whether the failure is model-specific.
• Check whether long prompts, large attachments, or extreme token counts are triggering timeouts.
• Log request IDs and timestamps so support can trace the failure.

If the same request fails across multiple attempts, capture the payload and headers, then test from another network or machine. That helps separate client-side timeout issues from upstream instability.

A practical debugging checklist you can reuse

• Verify the base URL, key, and model name.
• Log status code, response body, and relevant headers.
• Reproduce with one minimal request.
• Fix auth for 401, funding for 402, throttling for 429, and resilience for 5xx.
• Add structured retries only after you know the error class.

If you want a low-cost place to test this workflow, 59API is a solid fit: it supports Claude and GPT models through a familiar API, works with Claude Code, Codex, and OpenAI SDKs, and keeps pricing lean with official-quality models and pay-as-you-go billing. If you are tired of overpaying while debugging, it is worth signing up and trying your next request there.

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