GPT-6 Astra API Errors: 15 Common Problems and How to Fix Them

The fastest way to make an API incident worse is to retry every error. A malformed schema will not heal with backoff, and a depleted credit balance will not recover because a worker tried ten more times. Diagnose errors by HTTP status, SDK class, error.type, and especially error.code.

A safe error handler

try {
  return await client.responses.create({
    model: "gpt-6-astra",
    input
  });
} catch (error) {
  if (error instanceof OpenAI.APIConnectionError) {
    // Network, proxy, TLS, DNS or firewall path.
  } else if (error instanceof OpenAI.RateLimitError) {
    // Inspect code and Retry-After before deciding to retry.
  } else if (error instanceof OpenAI.APIError) {
    console.error(error.status, error.message, error.code);
  } else {
    throw error;
  }
}

Log the request ID, timestamp and timezone, model, endpoint, status, code, retry count, and sanitized payload characteristics. Never log API keys or confidential prompt content by default.

1. 400 Bad Request

The payload is malformed or incompatible: wrong field, missing input, invalid tool schema, unsupported combination, or badly encoded content. Read the message, compare with the current Responses reference, and add contract tests. Do not retry unchanged input.

2. 401 Authentication Error

The key or token is invalid, expired, revoked, or sent incorrectly. Confirm secret injection and project environment. Rotate exposed keys; never print them while debugging.

3. 401 Incorrect organization or project

A valid key can still target the wrong scope. Check project configuration and any explicit organization/project headers. Align the key, resource, and billing scope.

4. 401 IP not authorized

The request source does not match the configured allowlist. Send from an approved egress IP or update the allowlist through authorized administration. Retrying from the same source does nothing.

5. 403 Permission denied or unsupported region

The caller lacks access to the resource, model, or region. Verify project role, model availability, resource ownership, and supported-country rules. Do not disguise a permission problem as “not found” in internal logs.

6. 404 Not Found

A response, conversation, vector store, file, or other identifier is wrong, expired, or inaccessible. Confirm the exact ID and project. If user-facing, avoid leaking the existence of resources outside that user’s scope.

7. 409 Conflict

Another request changed the resource concurrently. Reload current state, reapply the intended change against the new version, and use optimistic locking or idempotency. Blind immediate retries can repeat the conflict.

8. 422 Unprocessable Entity

The format is syntactically acceptable but the service cannot process it. Validate sizes, encodings, file state, and field combinations. The official table suggests trying again, but first remove deterministic causes.

9. 429 Request or token rate limit

Pace traffic and obey Retry-After when present. Otherwise use bounded exponential backoff with jitter. Coordinate retry budgets across workers so they do not create a thundering herd. Reduce redundant calls and large token bursts.

10. 429 slow_down

This is a ramp-rate signal: traffic grew too quickly even if headline limits appear sufficient. Follow Retry-After, reduce request rate, then increase gradually. OpenAI’s current guidance gives a rule of thumb that after reaching one million input tokens per minute, growth should be no more than 50% every 15 minutes; actual activation varies by model and conditions.

11. 429 credit, spend, or usage limit

Codes include credit_balance_exhausted, organization_spend_limit_exceeded, project_spend_limit_exceeded, and organization_usage_limit_exceeded. These require credits or limit changes. Retrying cannot restore access. Alert an owner and fail fast.

12. 500 Internal Server Error

Retry after a brief wait with a bounded budget and check the status page if failures persist. Capture the request ID for support. For a state-changing workflow, reconcile tool side effects before replaying the whole request.

13. 503 Model overloaded

The documented type/code is service_unavailable_error / server_is_overloaded. Honor Retry-After or back off when absent. Note that current Python SDK guidance distinguishes RateLimitError for 429 from InternalServerError for 503; catch both if your overload logic previously assumed every capacity issue was 429.

14. Connection or timeout errors

APIConnectionError can indicate network, proxy, TLS certificate, DNS, or firewall problems. APITimeoutError means the deadline elapsed. Retry safe reads, inspect corporate proxy settings, and avoid disabling TLS verification. For writes, determine whether the operation happened before retrying.

15. WebSocket state and streaming failures

previous_response_not_found means the referenced state cannot be resolved; official guidance says to resend full input context with previous_response_id set to null. websocket_connection_limit_reached reflects the 60-minute connection limit; open a new connection and continue. Also handle response.failed, response.incomplete, and transport error events rather than assuming socket closure equals completion.

A retry matrix

| Class | Retry unchanged? | Correct action | | 400/401/403/404 | No | Fix request, identity, permission, or ID | | 409 | After reconcile | Reload version and apply safely | | 422 | Sometimes | Check deterministic cause first | | 429 rate/slow_down | Yes, bounded | Respect Retry-After; backoff and jitter | | 429 billing/limits | No | Add credits or change approved limits | | 500/503 | Yes, bounded | Backoff, status check, preserve request ID | | Connection/timeout | Depends | Retry reads; reconcile writes |

Cap attempts and total elapsed retry time. Use a circuit breaker during broad incidents and a dead-letter path for jobs that need operator review. Retries should be observable, not hidden inside stacked SDK and application loops.

FAQ

Should I retry every 429?

No. Rate and ramp errors can retry after the required delay; credit, spend, and usage-limit errors require account action.

Why record the request ID?

It lets support and your own telemetry correlate a failure with a specific API request without exposing the full payload.

Can I retry a timed-out tool call?

Only after determining whether it caused a side effect. Use idempotency keys and read-before-retry reconciliation.

What should users see?

A concise, actionable message and safe retry option where appropriate. Keep stack traces, provider codes, and sensitive details in protected diagnostics.

Conclusion

Reliable GPT-6 Astra error handling begins with classification. Fix deterministic 4xx requests, distinguish rate pressure from billing limits, back off transient 5xx failures, reconcile uncertain writes, and model streaming as a state machine. A bounded retry policy plus good request-level telemetry resolves more incidents than indiscriminate retries ever will.