
config-codex-cli
Step-by-step agent workflow to configure the OpenAI Codex CLI on any machine (Linux, macOS, Windows) to use OmniRoute as an OpenAI-compatible backend. Detects OS and shell, writes config.toml and 7 named profiles, sets environment variables, and verifies the setup.
- Installs
- 1K
- Last 24h
- +22
- Trending rank
- #5564
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/cheaper-inference/omniroute --skill config-codex-cli- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads config-codex-cli automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Overview
Step-by-step agent workflow to configure the OpenAI Codex CLI on any machine (Linux, macOS, Windows) to use OmniRoute as an OpenAI-compatible backend. Detects OS and shell, writes config.toml and 7 named profiles, sets environment variables, and verifies the setup.
Quick install
npm install -g omniroute # or: npx omniroute
omniroute --version
Subcommands
No CLI subcommands mapped for this family yet.
<!-- skill:custom-start -->Long-running Codex tasks (#7287)
Two OmniRoute defaults silently break multi-hour Codex sessions. Document them whenever configuring Codex for overnight / multi-hour work. Full guide: docs/guides/CODEX-CLI-CONFIGURATION.md → Long-running tasks.
Session affinity (default off)
- Setting:
sessionAffinityTtlMs(ms; UI shows Affinity TTL (seconds) under Dashboard → Settings → Routing → Session affinity). Legacy alias:codexSessionAffinityTtlMs. - Default
0= disabled. Each turn can land on a different account and break prompt-cache / session continuity. - Codex session keys (
x-codex-session-id,x-session-id,x-omniroute-session, bodyprompt_cache_key/session_id) are only used for pinning when TTL > 0. - Max:
86400seconds /86400000ms (24h). Set TTL above the expected task length (e.g.43200s for ~12h).
Stream idle timeout (default 10 minutes)
- Env:
STREAM_IDLE_TIMEOUT_MS(default600000). Also considerFETCH_BODY_TIMEOUT_MS(same baseline;0disables). - Synthetic SSE heartbeats do not reset the idle clock — only real upstream chunks do.
- A quiet reasoning turn past the idle window is force-closed (
stream_idle_timeout/StreamIdleTimeoutError). Grep logs forIdle timeout: no data from.
Recommended multi-hour recipe
- Dashboard → Settings → Routing → Session affinity → Affinity TTL =
43200(12h) or86400(24h max). - OmniRoute environment:
STREAM_IDLE_TIMEOUT_MS=0
FETCH_BODY_TIMEOUT_MS=0
- Restart OmniRoute. Leave Codex
config.tomlas usual (wire_api = "responses", correctbase_url).
Defaults decision
Do not flip ship defaults in code for this skill: sessionAffinityTtlMs stays 0 and STREAM_IDLE_TIMEOUT_MS stays 600000. Long-running operators must opt in. See Discussion #5718 and issue #7287.
FAQ
What does the config-codex-cli skill do?
Step-by-step agent workflow to configure the OpenAI Codex CLI on any machine (Linux, macOS, Windows) to use OmniRoute as an OpenAI-compatible backend. Detects OS and shell, writes config.toml and 7 named profiles, sets environment variables, and verifies the setup.
How do I install config-codex-cli?
Run npx skills add https://github.com/cheaper-inference/omniroute --skill config-codex-cli in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/config-codex-cli/ (personal) or .claude/skills/config-codex-cli/ (project).
Which AI agents can use config-codex-cli?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is config-codex-cli safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains config-codex-cli?
It is published by cheaper-inference in cheaper-inference/omniroute. It has 1,012 recorded installs.
More from cheaper-inference/omniroute
omni-combos-routing
cheaper-inference/omniroute
Create and manage routing combos with 19 strategies (priority, weighted, round-robin, Auto-combo, and more). Configure fallback chains, test routing outcomes, and retrieve combo metrics.
cli-setup
cheaper-inference/omniroute
Run initial setup, configure global CLI settings, manage environment variables, check for updates, and configure autostart via the CLI setup and config commands.
omni-mcp
cheaper-inference/omniroute
Connect to the OmniRoute MCP server (110 tools, 3 transports: SSE/stdio/HTTP). Covers routing, cache, compression, memory, skills, providers, and audit tools across 33 permission scopes.
omni-providers
cheaper-inference/omniroute
Manage provider connections, API keys, OAuth flows, and connection tests via the REST API. List, add, update, remove, and test AI provider integrations across OmniRoute's 375-provider catalog.
cli-routing
cheaper-inference/omniroute
Create, list, update, and delete routing combos from the CLI. Test routing strategies, inspect combo metrics, and configure fallback chains interactively.
omni-auth
cheaper-inference/omniroute
Manage API key authentication and session tokens. Start here to authenticate requests via Bearer token, obtain session cookies, and configure login requirements for the OmniRoute API.
Popular ai & agents skills
google-agents-cli-publish
google/agents-cli
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).
google-agents-cli-eval
google/agents-cli
This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
skill-creator
anthropics/skills
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
codex-pet
prime-skills/runcomfy-agent-skills
Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.
full-output-enforcement
leonxlnx/taste-skill
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
executing-plans
obra/superpowers
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available