DeepSeek API errors explained: codes, causes and fixes

Use the response status and safe error details to identify whether DeepSeek rejected authentication, balance, capacity or the request itself. Fix the relevant cause before adding retries.

Error format at DeepSeek

Start by recording the HTTP status, selected model, time and sanitized response detail. The official error reference names common failure categories, while individual messages can provide request-specific guidance. Do not assume that every proxy or network failure has the same JSON body as a provider response. Official DeepSeek documentation.

Keep the raw authorization header out of logs and support tickets. A useful diagnostic record can include a safe request shape, the client library version and which optional features were enabled. Replace user material with a minimal harmless example before reproducing the problem. A smaller request often reveals whether the failure follows the account, the identifier or a particular field.

Separate transport success from application success. A response can arrive while the completion is empty, truncated or unusable for the required artifact. Keep the final completion state and validate the returned structure before accepting the task. Use different application outcomes for provider rejection, incomplete generation and output that failed your own checks.

Error code table

HTTP status	Official label	Cause to investigate	Next action
400	Invalid Format	Request shape or conversation state	Correct the body using the relevant feature reference.
401	Authentication Fails	Wrong credential	Check the process environment and endpoint.
402	Insufficient Balance	No usable account balance	Inspect billing before retrying.
422	Invalid Parameters	Rejected parameter	Correct the field identified by the safe error detail.
429	Rate Limit Reached	Requests exceeding admission	Pace outstanding work and inspect shared account capacity.
500	Server Error	Temporary service issue	Wait briefly and retry within a bounded policy.
503	Server Overloaded	Service traffic overload	Wait briefly and keep a clear final task deadline.

These labels come from the provider’s reference; the full returned message can differ. Preserve the distinction when mapping errors to your own interface. A user who needs to correct input should not receive the same instruction as an operator who needs to inspect billing. Official DeepSeek documentation.

Authentication errors

Verify that the running process has DEEPSEEK_API_KEY and points at https://api.deepseek.com for the compatible Chat Completions interface. The official quickstart supplies that configuration. Follow DeepSeek key setup if the credential has not been installed in the environment that actually runs the request. Official DeepSeek documentation.

Check presence without printing the value. Remove accidental surrounding whitespace when transferring a secret through the intended configuration surface, confirm the account and restart the service if its environment is loaded only at startup. A key visible in a console does not prove that a scheduled worker has received it.

If a credential was rotated, check all legitimate users of the old key. A web process and a background worker can load configuration differently. Keep a safe rotation record with application names and deployment times. When a forbidden response does not match the documented categories, inspect the actual sanitized message rather than assigning it an assumed balance or quota meaning.

Rate and quota errors

Treat balance and admission as separate branches in the application. A balance condition needs an account decision; an admission condition needs pacing and capacity review. Read DeepSeek grant conditions and DeepSeek active concurrency for the relevant account rules.

Count all work sharing the account, including other keys and background jobs. Use a bounded queue to avoid sending a burst of retries when several requests fail together. Keep task deadlines and attempt counts so the application can stop work that is no longer useful. Repeatedly sending the same rejected request is not a substitute for identifying which condition caused the rejection.

Use the AI API cost calculator when the investigation reveals a workload larger than expected. Include the complete accepted task and any additional requests it required. A capacity error does not establish what a completed task would cost, and an estimated cost does not establish the account’s remaining usable balance.

Request validation errors

Reduce the request to the documented baseline and add optional fields back one at a time. Inspect the message roles and content types before changing model settings. Keep the SDK call and serialized request aligned; provider-specific fields may need to be passed through the client’s documented extension mechanism.

Thinking-mode tool conversations require the state described in the DeepSeek guide. In particular, preserve the necessary assistant fields when continuing a tool-enabled conversation rather than rebuilding the message from final text alone. A protocol-state problem can appear only on a later turn even though the first call succeeded. Official DeepSeek documentation.

For JSON output, specify the documented response format and give a clear JSON instruction and example. Then parse and validate the application’s required fields. Valid JSON alone does not prove that an extracted value is supported by the input, and an output cut short before completion must not be treated as a valid record. Official DeepSeek documentation.

Model and context errors

Confirm the exact current identifier and required capability using DeepSeek model records. Do not derive an API identifier from a display name or assume an accepted historical alias serves the original backing model. Keep the chosen name in configuration so a migration is deliberate and reviewable.

If the request is too large or the completion is cut short, inspect the entire message set and requested output allowance. Tool results, conversation history and repeated source excerpts can make the actual request larger than the text visible in the latest user message. Select relevant material and retest the task, preserving evidence that the shortened input still supports the answer.

For a failed extraction, retain a safe minimal example that reproduces the missing or malformed field. It may be an application validation issue rather than a rejected provider request. Distinguish those outcomes in monitoring so repeated semantic failures are not hidden among generic connection errors.

Server errors and status

Check DeepSeek’s official service status when unrelated requests fail together. Follow the provider’s temporary-error guidance with a bounded delay and a final outcome when attempts are exhausted. Keep the original safe task record so recovery does not duplicate downstream actions. Official DeepSeek documentation.

A connection that remains alive is not the same as a completed answer. Respect the documented keep-alive format when reading streaming responses and keep a task-level deadline in your own application. If a client disconnects after dispatch, record the outcome as uncertain until you can determine whether the work completed; avoid automatically repeating a downstream side effect.

Return to the DeepSeek API overview for current sources or use the Python tutorial to reestablish a small baseline. Once that baseline passes, reintroduce only the features required to reproduce the original issue and document the change that resolved it.

Frequently asked questions

Should I retry an authentication failure?

Correct the credential or environment first. Repeatedly sending the same invalid configuration does not establish a useful recovery path.

What is the difference between balance and rate failures?

Balance concerns account billing readiness; rate admission concerns accepted work. Inspect the actual status and safe message before deciding on funding or pacing.

Why does a later tool turn fail although the first call works?

Check the documented conversation state. Rebuilding assistant messages from final text alone can discard fields required by a tool-enabled thinking conversation.

Does valid JSON guarantee a correct extraction?

No. Validate the required schema and verify that values are supported by the input. Treat empty or incomplete output as a separate failure.

What should I save for support?

Save time, selected model, safe status and error detail, client version and a harmless reproducer. Exclude credentials and private prompt content.

Can status be healthy while my account fails?

Yes. Public status is service context; your credential, balance, request and account capacity still need their own checks.

Sources

Last verified 12 Sep 2026 · Source ↗