Codex FAQs

Question 1

How does Codex ensure reliability and resilience?

Accepted Answer

Codex includes automatic model fallback (e.g., `gpt-5.3-codex` to `gpt-5.2-codex`) for resilience on authentication errors, and robust timeout handling with SIGTERM to SIGKILL escalation.

Question 2

What are the prerequisites to install and use Codex?

Accepted Answer

To use Codex, you need the OpenAI Codex CLI installed globally (`npm i -g @openai/codex`) and Python 3.11+.

Question 3

What is Codex and how does it enhance development?

Accepted Answer

Codex integrates the OpenAI Codex CLI into an MCP server, empowering developers with AI tools for structured code reviews, inline conversational questioning, and flexible custom prompt execution directly within their workflow.

Question 4

Can I execute custom prompts with Codex?

Accepted Answer

Yes, `codex_exec` allows you to send raw prompts to Codex with full control, including the ability to define custom JSON output schemas for tailored results.

Question 5

What are the main features of Codex for code review?

Accepted Answer

Codex provides `codex_review` to analyze git diffs for bugs, security, and correctness, offering structured JSON output. You can also ask inline questions with `codex_ask` using conversation context.

Codex

Codex

Key Features

Use Cases

Key Features

Use Cases