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skill CX Codex GP ChatGPT official · OpenAI

openai-api-troubleshooting — Codex skill: what it does and install

Diagnoses failed OpenAI API requests in Codex and pinpoints the immediate next action. Covers network blocks, invalid keys, depleted quota, rate limits, and model access issues.

Install into Codex · Skills CLI (Vercel) All methods and platforms ↓
npx skills add openai/plugins --skill openai-api-troubleshooting -a codex
Open on GitHub

What openai-api-troubleshooting does

This skill handles runtime failures that occur after sending a request to the OpenAI API. It routes problems into five clear groups: sandboxed network blockers, authentication errors, credit depletion, rate limits, and access restrictions. Transport failures come first. When a sandboxed run hits DNS errors or connection resets, the skill tests the network route by retrying the call with sandbox_permissions=require_escalated.

The routing logic separates tricky edge cases. Both rate limits and an empty balance can produce HTTP 429, but the skill treats them differently. For rate_limit_exceeded, it suggests pacing or exponential backoff. For insufficient_quota, it directs you to organization billing and points to gpt-5.4-mini as an initial testing option. It leaves key provisioning to openai-platform-api-key and documentation lookups to openai-docs.

Explanations stay brief and actionable. Install this skill if you run automated tasks through Codex and want immediate clarity on API failures without digging through logs.

What it helps with

  • diagnose runtime failures from OpenAI API requests
  • distinguish insufficient_quota billing stops from rate_limit_exceeded pauses
  • rerun sandboxed calls that hit DNS or connection timeouts with escalated permissions
  • identify 403 model or organization access permissions

Example prompts for the agent

  • My OpenAI API call failed with a 429 error, check if this is a rate limit or a billing issue
  • The script cannot reach api.openai.com from the sandbox, help me fix the connection
  • I received a 403 model_not_found error, tell me what permissions or project settings are missing

How to install openai-api-troubleshooting

1Skills CLI (Vercel)

npx skills add openai/plugins --skill openai-api-troubleshooting -a codex

2Manually: put the files in place

.agents/skills/openai-api-troubleshooting/SKILL.md

For all projects use ~/.agents/skills/

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Questions about openai-api-troubleshooting

How do I install openai-api-troubleshooting in Codex?

Run npx skills add openai/plugins --skill openai-api-troubleshooting in your terminal.

What does openai-api-troubleshooting do?

It categorizes failed OpenAI API calls into network issues, authentication errors, quota exhaustion, rate limits, or project permission mismatches.

Does this skill create or rotate API keys?

No, creating and configuring API keys is delegated to the openai-platform-api-key skill.

See also

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