## Stack
This is PR 2 of the simplified HAI single-run-task stack:
- [#19047](https://github.com/openai/codex/pull/19047) Agent Identity
assertion and task-registration primitives, including the shared
run-task helper used by existing Agent Identity JWT auth.
- [#19049](https://github.com/openai/codex/pull/19049)
Disabled-by-default ChatGPT auth opt-in that provisions/reuses persisted
Agent Identity runtime auth and its single run task.
- [#19051](https://github.com/openai/codex/pull/19051) Run-scoped
provider auth that uses one backend-owned task id for first-party
inference and compaction requests.
[#19054](https://github.com/openai/codex/pull/19054) collapsed out of
the active stack because the simplified design no longer needs a
separate background/control-plane task helper.
## Summary
This PR adds the disabled-by-default path for normal ChatGPT-login Codex
sessions to obtain Agent Identity runtime auth through the Codex
backend. Existing Agent Identity JWT startup mode remains a separate
path and does not require the feature flag.
What changed:
- adds the experimental `use_agent_identity` feature flag and config
schema entry
- adds an explicit `AgentIdentityAuthPolicy` so call sites choose
`JwtOnly` or `ChatGptAuth` instead of passing a bare boolean
- stores standalone Agent Identity JWT credentials separately from
backend-registered Agent Identity records
- persists the registered Agent Identity record, private key, and single
run task id in `auth.json` so process restarts reuse the same identity
- derives the agent/task registration base URL from ChatGPT/Codex auth
config while keeping JWT JWKS lookup separate
- provisions and caches ChatGPT-derived Agent Identity runtime auth when
`use_agent_identity` is enabled
- reuses the shared run-task registration helper from PR1 rather than
adding a second task-registration path
This PR intentionally does not switch model inference over to
`AgentAssertion` auth. The provider-auth integration lands in the next
PR.
## Testing
- `just test -p codex-login`
## Why
Windows Credential Manager limits generic credential blobs to 2,560
bytes. Large serialized ChatGPT auth payloads can exceed that limit, so
keyring-mode CLI auth needs a backend that keeps only the encryption key
in the OS keyring and stores the payload in Codex's encrypted
local-secrets file.
This is the third PR in the encrypted-auth stack:
1. #27504 — feature and config selection
2. #27535 — auth-specific local-secrets namespaces
3. This PR — CLI auth implementation and activation
4. MCP OAuth implementation and activation
## What Changed
- Added encrypted CLI-auth storage using the `CliAuth` secrets
namespace.
- Preserved direct keyring storage for platforms/configurations where it
remains selected.
- Selected the backend consistently for login, logout, refresh,
device-code login, auth loading, and login restrictions.
- Threaded resolved bootstrap/full config through CLI, exec, TUI,
app-server account handling, cloud config, and cloud tasks.
- Removed stale `auth.json` fallback data after successful encrypted
saves and removed encrypted, direct-keyring, and fallback data during
logout.
- Added storage and integration coverage for both direct and encrypted
keyring modes.
MCP OAuth persistence is intentionally left to the next PR.
## Validation
- `just test -p codex-login` — 131 passed
- `just test -p codex-cli` — 280 passed
- `just test -p codex-app-server v2::account` — 25 passed
- `just test -p codex-cloud-config service` — 21 passed, 7 skipped
- `just fix -p codex-login`
- `just fix -p codex-cli`
- `just fmt`
## Summary
- Splits the monolithic `codex-cloud-config` implementation into focused
modules.
- Keeps behavior unchanged from the preceding config bundle runtime
switch.
## Details
This is the reviewability follow-up after the lineage-preserving
migration PRs. The split separates backend transport, loader
construction, cache handling, metrics, validation, service
orchestration, and focused tests into named files.
Verification: `just fmt`; `just test -p codex-cloud-config`.
Adrian ·
Celia Chen ·
joeflorencio-openai ·