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## Why `features.multi_agent_v2.max_concurrent_threads_per_session` is meant to be the MultiAgentV2-specific session thread cap: it counts the root thread and all open subagent threads. The previous implementation kept this surface tied to `agents.max_threads`, which made it a global subagent-only cap and allowed the legacy setting to coexist with MultiAgentV2. ## What Changed - Added `max_concurrent_threads_per_session` to `[features.multi_agent_v2]` with default `4`. - Removed the `[agents] max_concurrent_threads_per_session` alias to `agents.max_threads`. - When MultiAgentV2 is enabled, reject `agents.max_threads` and derive the existing internal subagent slot limit as `max_concurrent_threads_per_session - 1`. - Regenerated `core/config.schema.json` and added coverage for the new config semantics. ## Result ``` ➜ codex git:(jif/clean-multi-agent-v2-config) codex -c features.multi_agent_v2.enabled=true -c features.multi_agent_v2.max_concurrent_threads_per_session=3 ╭────────────────────────────────────────────────────╮ │ >_ OpenAI Codex (v0.0.0) │ │ │ │ model: gpt-5.5 xhigh fast /model to change │ │ directory: ~/code/codex │ ╰────────────────────────────────────────────────────╯ Tip: Update Required - This version will no longer be supported starting May 8th. Please upgrade to the latest version (https://github.com/openai/codex/releases/latest) using your preferred package manager. › Can you try to spawn 4 agents • I’ll try to start four lightweight agents at once and report exactly what the runtime accepts. • Spawned Russell [no-apps] (gpt-5.5 xhigh) └ Spawn probe 1: reply briefly that you started, then wait for further instructions. Do not do any repo work. • Spawned Descartes [no-apps] (gpt-5.5 xhigh) └ Spawn probe 2: reply briefly that you started, then wait for further instructions. Do not do any repo work. • Agent spawn failed └ Spawn probe 3: reply briefly that you started, then wait for further instructions. Do not do any repo work. • Agent spawn failed └ Spawn probe 4: reply briefly that you started, then wait for further instructions. Do not do any repo work. • The runtime accepted the first two and rejected the next two with agent thread limit reached. I’m checking whether the two accepted probes have returned cleanly, then I’ll close them if needed. ``` --------- Co-authored-by: Codex <noreply@openai.com>
f8c527e529
·
2026-04-27 13:31:56 +02:00
5,843 Commits
npm i -g @openai/codex
or brew install --cask codex
Codex CLI is a coding agent from OpenAI that runs locally on your computer.
If you want Codex in your code editor (VS Code, Cursor, Windsurf), install in your IDE.
If you want the desktop app experience, run
codex app or visit the Codex App page.
If you are looking for the cloud-based agent from OpenAI, Codex Web, go to chatgpt.com/codex.
Quickstart
Installing and running Codex CLI
Install globally with your preferred package manager:
# Install using npm
npm install -g @openai/codex
# Install using Homebrew
brew install --cask codex
Then simply run codex to get started.
You can also go to the latest GitHub Release and download the appropriate binary for your platform.
Each GitHub Release contains many executables, but in practice, you likely want one of these:
- macOS
- Apple Silicon/arm64:
codex-aarch64-apple-darwin.tar.gz - x86_64 (older Mac hardware):
codex-x86_64-apple-darwin.tar.gz
- Apple Silicon/arm64:
- Linux
- x86_64:
codex-x86_64-unknown-linux-musl.tar.gz - arm64:
codex-aarch64-unknown-linux-musl.tar.gz
- x86_64:
Each archive contains a single entry with the platform baked into the name (e.g., codex-x86_64-unknown-linux-musl), so you likely want to rename it to codex after extracting it.
Using Codex with your ChatGPT plan
Run codex and select Sign in with ChatGPT. We recommend signing into your ChatGPT account to use Codex as part of your Plus, Pro, Business, Edu, or Enterprise plan. Learn more about what's included in your ChatGPT plan.
You can also use Codex with an API key, but this requires additional setup.
Docs
This repository is licensed under the Apache-2.0 License.