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Fix Claude Code API Error 500: Rate Limits & Timeouts

Updated ยท Sources & corrections

In this guide
  1. 1. Capture the failure before changing the setup
  2. 2. Distinguish server errors from limits and transport failures
  3. 3. Check status without treating it as a complete diagnosis
  4. 4. Bound retries and account for work already performed
  5. 5. Inspect the client and network path reversibly
  6. 6. Separate streaming, session and tool failures
  7. 7. Prepare a minimal support record
  8. Corrections and verification scope
Short answer: record the exact error, provider and timestamp, check the relevant status page, then retry cautiously if the failure is transient. A direct Claude API 500 indicates an internal API error, but a bare 500 seen through a gateway does not identify every component involved. Do not repeatedly rerun a coding task or erase configuration as a first response.

This guide separates Claude Code troubleshooting from direct SDK/API handling. Subscription login, a direct API account, a cloud-provider deployment and a third-party gateway can have different routing and diagnostics. Use the provider named in your actual configuration and error message.

1. Capture the failure before changing the setup

Retain the CLI version, exact error text, model, time with timezone and whether failure happened before output, during streaming or after a tool action. If an API request identifier is available, retain it for support. Do not paste an entire environment dump, API key, authorization header or private repository content into a report.

claude --version
claude --help

These commands inspect the installed client; they do not reproduce a model request. Check your install method and command resolution if the version is unexpected. Our Claude Code installation guide covers setup. The official CLI reference documents command behaviour.

2. Distinguish server errors from limits and transport failures

Observed resultInterpretation for the direct Claude APINext check
500 api_errorAn internal API error.Check status, retry with backoff if appropriate and retain the request identifier.
529 overloaded_errorTemporary API overload.Pause and check provider guidance rather than increasing request volume.
429Rate or usage/spend limits can apply.Read the actual message and headers; not every limit clears after a short wait.
401 or403Authentication or permission failure.Check the selected account/provider and access configuration.
No HTTP response, TLS failure or timeoutA different observation from a confirmed 500.Inspect the network path and deadline separately.

The official API error reference defines status meanings, retry guidance and request identifiers. Gateway error mappings may differ. A status code alone does not prove that credentials, routing and configuration are all correct, or that they are the cause.

3. Check status without treating it as a complete diagnosis

For Anthropic-hosted service failures, check Claude Status. For another provider or intermediary, check that provider’s incident information as well. Match the affected component and incident time to your record; an unrelated incident does not explain every failure.

A green dashboard is not proof that a request-specific fault is local. Likewise, an incident does not require you to change working local settings. Preserve evidence and avoid promising a recovery time that the provider has not published. This article does not claim an outage is happening now.

4. Bound retries and account for work already performed

Let the installed client’s documented transient-error handling complete. For a direct SDK integration, inspect its configured retry policy; do not apply an SDK retry count as if it described every Claude Code release.

Before manually retrying a coding task, inspect repository changes and completed external actions. A failed response does not establish that no earlier tool action happened. Repeating an entire command can duplicate work. Prefer resuming from known state over an unconditional shell loop that starts the task again.

If you control a retrying application, set an attempt limit and a total deadline, space attempts with backoff and jitter, and avoid multiplying retries in the SDK, proxy and wrapper. Honour applicable response guidance. These are design checks, not a claim that a particular wait duration guarantees recovery. Stop on persistent failure and prepare a support record.

5. Inspect the client and network path reversibly

The official troubleshooting guide recommends its diagnostics and reporting tools. From the shell you can start with:

claude doctor

Review proposed actions rather than automatically applying every suggestion. A successful diagnostic is not proof that the failing model request will succeed. Updating can address client issues, but record the current version and follow the supported method for your installation instead of blindly reinstalling or deleting settings.

Consult the network configuration reference for proxies, certificates and managed environments. A successful request to one URL does not establish that another endpoint, streaming connection or provider route works. Do not remove a required corporate proxy or disable certificate verification to make a test pass.

If you compare a smaller request, keep the same provider and model and change one variable at a time. Save the result as evidence, not proof that request size was the sole cause. Preserve needed conversation context before starting a fresh session. A failed compaction operation may depend on the same unavailable service.

6. Separate streaming, session and tool failures

Check whether partial output or a tool result arrived before the error. An initially successful HTTP status does not establish a completed stream. Keep the final error and completion state alongside any partial response.

Do not treat an MCP startup failure as a model API 500. Use our MCP inspection guide to identify the failing layer. Similarly, if a command invoked by Claude fails locally, its exit status and logs need their own diagnosis; changing an API account may be irrelevant.

7. Prepare a minimal support record

Use a record like this with private content removed. The values are blank placeholders, not captured incident data:

{
  "timestamp_with_timezone": null,
  "client_version": null,
  "provider_and_model": null,
  "error_status_and_type": null,
  "request_id_if_available": null,
  "failure_stage": null,
  "minimal_reproduction_without_secrets": null,
  "completed_actions_checked": null
}

The troubleshooting reference describes /feedback and support paths. Review what you share and use the correct provider’s channel. A useful report connects a specific request, time and failure stage; repeated screenshots of a generic status code add less evidence.

Next step: classify the actual response, check matching service information, inspect work already completed and attempt only a bounded retry when appropriate. Escalate persistent failures with the sanitized record instead of cycling through credentials, plans and reinstallations without evidence.

Corrections and verification scope

Updated 27 October 2026: removed unconditional attribution and recovery-time claims, the repeated task-execution loop and broken credential-bearing curl example. Added provider boundaries, retry limits and evidence collection. Shell syntax and blank JSON were checked; no authenticated API call, paid request, outage reproduction or live Claude Code task was run. Original publication date retained. Read the AI Models News sourcing and correction policy.