Codex usage_limit_reached 429 retries exhausted pool credential once before rotating
Fix OpenAI Codex API returning 429 usage_limit_reached; credential pool keeps retrying exhausted OAuth accounts instead of rotating to available ones Includes evidence for OpenAI API troubleshooting demand.
Source-backedLast updated May 20, 20261 sourceNeeds local verification
HTTP 429 error.type="usage_limit_reached" message "The usage limit has been reached" — credential pool retries same exhausted account instead of immediate rotation
Quick fix
Verify the account session, API key, provider settings, and environment where the failing tool is running.
Updated
Verification status
Source-backed
Evidence
1 public source URL
Before you change production
This page includes public source URLs in the imported troubleshooting record. Compare those references with your version and environment before applying changes.
Reproduce the smallest failing action and save non-secret logs before changing configuration.
Check versions for OpenAI API, related SDKs, package managers, CI runners, and hosting providers.
Change one setting or dependency at a time, then rerun the same failing command or request.
Avoid destructive commands, credential rotation, billing changes, or security relaxations without a rollback plan.
What this error means
HTTP 429 error.type="usage_limit_reached" message "The usage limit has been reached" — credential pool retries same exhausted account instead of immediate rotation is a OpenAI API failure pattern reported for developers trying to fix openai codex api returning 429 usage_limit_reached; credential pool keeps retrying exhausted oauth accounts instead of rotating to available ones. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub issue hermes-agent#26388 (May 15, 2026) details how AIAgent._extract_api_error_context() ignores payload['type'], so OpenAI usage_limit_reached type is lost. Pool recovery treats all 429s as transient rate_limit, retrying exhausted credentials. Merged via PR #27162. High billing/quota impact on paid users.
Common causes
GitHub issue hermes-agent#26388 (May 15, 2026) details how AIAgent._extract_api_error_context() ignores payload['type'], so OpenAI usage_limit_reached type is lost. Pool recovery treats all 429s as transient rate_limit, retrying exhausted credentials. Merged via PR #27162. High billing/quota impact on paid users.
Quick fixes
Confirm the exact error signature matches HTTP 429 error.type="usage_limit_reached" message "The usage limit has been reached" — credential pool retries same exhausted account instead of immediate rotation.
Check the OpenAI API account, local tool state, and provider configuration involved in the failing workflow.
Verify the account session, API key, provider settings, and environment where the failing tool is running.
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.
Diagnostic flow for this page
Match HTTP 429 error.type="usage_limit_reached" message "The usage limit has been reached" — credential pool retries same exhausted account instead of immediate rotation exactly before applying the quick fix.
Compare the failing environment with OpenAI API versions, account scope, provider settings, and deployment context.
Check the listed common causes in order, starting with the cause that best matches your logs.
Use the evidence status below to decide whether to confirm against public sources or official documentation.
Apply one reversible change, rerun the smallest failing action, and keep rollback notes.