Troubleshooting

401, 429, 502 API error troubleshooting

Locate the authentication, balance, rate limiting, gateway, upstream model and client timeout issues of the LLM API according to status codes such as 401, 429, 502, 504, etc., and formulate correct retry strategies.

Updated on 2026-07-18Checked 2026-07-18Estimated reading time: 10 minutesApplies to LLM API error troubleshooting
Configuration fields were checked against public documentation. Models, prices, and capabilities can change; verify current values in the console and live API responses.
Special topic: OpenAI Compatible API Access and Troubleshooting Center

When troubleshooting API errors, log them first Status code, response body, request ID, model name, and time of occurrence. Just looking at the words "call failed", it is difficult to determine whether the problem is located on the client, the gateway, or the upstream model.

Check before you start

Reproduce with minimal requests, temporarily turning off streaming output, tool calls, and long contexts. After confirming that the short request also failed, enter the status code troubleshooting.

curl https://www.aifast.club/v1/models \
  -H "Authorization: Bearer $AIFAST_API_KEY" \
  -i

Configuration steps

401 Unauthorized

401 means authentication failed. Check in order:

  1. Whether the Key is complete, valid and belongs to the current account.
  2. Whether the request header is Authorization: Bearer ...
  3. Whether there are spaces, newlines or extra quotation marks before and after Key.
  4. Whether the client automatically adds Bearer, leading to duplication.
  5. Whether the environment variable takes effect in the current process.

401 should generally not be retried automatically. When the authentication information remains unchanged, retrying will only result in repeated failures.

When you need to check request headers, environment variables, and configuration overrides item by item, check out401 invalid_api_key complete troubleshooting

429 Too Many Requests

429 may mean:

  • The request frequency exceeds the limit.
  • The number of concurrency is too high.
  • The account balance or quota is insufficient.
  • The specific model is busy.

Processing sequence: reduce concurrency, increase exponential backoff, check balance and usage, and then confirm whether only a single model is affected.

No. 1 wait times 1 seconds
No. 2 wait times 2 seconds
No. 3 wait times 4 seconds
Stop after reaching the upper limit,No infinite retries

For the handling methods of batch processing, Agent and multi-layer SDK retries, see429 Too Many Requests Complete Troubleshooting

502 Bad Gateway

502 usually occurs when the gateway cannot get a valid response from upstream. Common reasons:

  • The upstream model is temporarily abnormal.
  • Long task exceeds agent timeout.
  • Streaming connection interrupted.
  • The request body is too large or the context is too long.
  • The gateway is incompatible with the upstream protocol.

First switch to short input, turn off streaming output and keep the same model test. If a short request succeeds but a long request fails, the timeout and context are checked first instead of the Key.

if appears stream disconnectedupstream connect error Or just interrupt in streaming mode, viewComplete troubleshooting of 502 and SSE disconnection

504 or client timeout

Distinguish three types of timeouts:

timeout type meaning
Connection timeout Unable to establish network connection in time
Read timeout Connected, but no new data for a long time
total task timeout The entire task exceeds the time allowed by the business

The agent task may temporarily have no text output when executing the tool, and the read timeout cannot be set as short as a normal chat.

FAQ

Should we try again on any errors encountered?

It shouldn't be. Suggestions:

  • 401, 400, model does not exist: correct the configuration and do not try again.
  • 429. Partial 5xx, brief network interruption: limited retry.
  • Tool calls with side effects: ensure idempotence first, then consider retrying.

What do you need to provide to customer service?

Provide time of occurrence, model ID, status code, request ID, and masked error text. Do not send the complete API Key, and do not paste user private data directly into the work order.

Next step

Establish a unified error log and put the request ID, model, time consumption, input and output tokens, number of retries and final status in the same record. This way you can determine whether an error is an occasional issue or a persistent problem.

Source checked

Reference and Check Sources

Next step

Check the model and price first, then create an independent test Key

The model ID, open status and price will change; it will be added to production after passing small-scale verification.

Model PricingCreate Account View API documentation