What this error means
404 Not Found — POST /v1/messages/count_tokens is a Anthropic API failure pattern reported for developers trying to fix 404 error when calling anthropic count_tokens endpoint, or resolve unexpected rate limiting caused by sdk fallback behavior. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
New-api PR #4441 documents a real production incident: a single Claude Code Desktop session sends 250 count_tokens probe requests per minute when the endpoint returns 404, each request ~53KB with full tool schema but max_tokens=1, exhausting upstream RPM quota and causing 429 for all users on the channel for ~2 minutes.
Common causes
- When the /v1/messages/count_tokens endpoint returns 404, Claude SDK/CLI falls back to sending max_tokens=1 probe requests to estimate token count. A single session can fire 250+ such probes per minute (each ~53KB with tool schema), exhausting the RPM quota and causing 429 errors for all users on the same API channel.
- New-api PR #4441 documents a real production incident: a single Claude Code Desktop session sends 250 count_tokens probe requests per minute when the endpoint returns 404, each request ~53KB with full tool schema but max_tokens=1, exhausting upstream RPM quota and causing 429 for all users on the channel for ~2 minutes.
Quick fixes
- Confirm the exact error signature matches
404 Not Found — POST /v1/messages/count_tokens. - Check the Anthropic API account, local tool state, and provider configuration involved in the failing workflow.
- Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.
Platform/tool-specific checks
- Verify the command, editor, extension, or API client that produced the error.
- Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
- Avoid deleting credentials, local model data, or project settings until the failing scope is clear.
Step-by-step troubleshooting
- Capture the exact error message and the command, editor action, or request that triggered it.
- Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
- Review the source evidence below and compare it with your environment.
- Apply one change at a time and rerun the smallest failing action.
- Keep the working fix documented for the team or deployment environment.
How to prevent it
- Keep provider/tool configuration documented.
- Record non-secret diagnostics such as tool version, provider name, model name, and command path.
- Add a lightweight check before CI or production workflows depend on the tool.