Codex CLI Integration

Overview

Execute Codex CLI commands and parse structured JSON responses. Supports file references via @ syntax, multiple models, and sandbox controls.

When to Use

•Complex code analysis requiring deep understanding
•Large-scale refactoring across multiple files
•Automated code generation with safety controls
•Tasks requiring specialized reasoning models (gpt-5.1, gpt-5.1-codex)

Usage

推荐方式（使用 uv run，自动管理 Python 环境）：

bash

uv run ~/.claude/skills/codex/scripts/codex.py "<task>" [model] [working_dir]

备选方式（直接执行或使用 Python）：

bash

~/.claude/skills/codex/scripts/codex.py "<task>" [model] [working_dir]
# 或
python3 ~/.claude/skills/codex/scripts/codex.py "<task>" [model] [working_dir]

恢复会话:

bash

uv run ~/.claude/skills/codex/scripts/codex.py resume <session_id> "<task>" [model] [working_dir]

Timeout Control

•Built-in: Script enforces 2-hour timeout by default
•Override: Set CODEX_TIMEOUT environment variable (in milliseconds, e.g., CODEX_TIMEOUT=3600000 for 1 hour)
•Behavior: On timeout, sends SIGTERM, then SIGKILL after 5s if process doesn't exit
•Exit code: Returns 124 on timeout (consistent with GNU timeout)
•Bash tool: Always set timeout: 7200000 parameter for double protection

Parameters

•task (required): Task description, supports @file references
•
model (optional): Model to use (default: gpt-5.1-codex)
- •gpt-5.1-codex: Default, optimized for code
- •gpt-5.1: Fast general purpose
•working_dir (optional): Working directory (default: current)

Return Format

Extracts agent_message from Codex JSON stream and appends session ID:

code

Agent response text here...

---
SESSION_ID: 019a7247-ac9d-71f3-89e2-a823dbd8fd14

Error format (stderr):

code

ERROR: Error message

Invocation Pattern

When calling via Bash tool, always include the timeout parameter:

code

Bash tool parameters:
- command: uv run ~/.claude/skills/codex/scripts/codex.py "<task>" [model] [working_dir]
- timeout: 7200000
- description: <brief description of the task>

Alternatives:

code

# Direct execution (simplest)
- command: ~/.claude/skills/codex/scripts/codex.py "<task>" [model] [working_dir]

# Using python3
- command: python3 ~/.claude/skills/codex/scripts/codex.py "<task>" [model] [working_dir]

Examples

Basic code analysis:

bash

# Recommended: via uv run (auto-manages Python environment)
uv run ~/.claude/skills/codex/scripts/codex.py "explain @src/main.ts"
# timeout: 7200000

# Alternative: direct execution
~/.claude/skills/codex/scripts/codex.py "explain @src/main.ts"

Refactoring with specific model:

bash

uv run ~/.claude/skills/codex/scripts/codex.py "refactor @src/utils for performance" "gpt-5.1-codex"
# timeout: 7200000

Multi-file analysis:

bash

uv run ~/.claude/skills/codex/scripts/codex.py "analyze @. and find security issues" "gpt-5.1-codex" "/path/to/project"
# timeout: 7200000

Resume previous session:

bash

# First session
uv run ~/.claude/skills/codex/scripts/codex.py "add comments to @utils.js" "gpt-5.1-codex"
# Output includes: SESSION_ID: 019a7247-ac9d-71f3-89e2-a823dbd8fd14

# Continue the conversation
uv run ~/.claude/skills/codex/scripts/codex.py resume 019a7247-ac9d-71f3-89e2-a823dbd8fd14 "now add type hints"
# timeout: 7200000

Using python3 directly (alternative):

bash

python3 ~/.claude/skills/codex/scripts/codex.py "your task here"

Notes

•Recommended: Use uv run for automatic Python environment management (requires uv installed)
•Alternative: Direct execution ./codex.py (uses system Python via shebang)
•Python implementation using standard library (zero dependencies)
•Cross-platform compatible (Windows/macOS/Linux)
•PEP 723 compliant (inline script metadata)
•Runs with --dangerously-bypass-approvals-and-sandbox for automation (new sessions only)
•Uses --skip-git-repo-check to work in any directory
•Streams progress, returns only final agent message
•Every execution returns a session ID for resuming conversations
•Requires Codex CLI installed and authenticated