## Summary
- Keep the guardian policy installed as guardian base instructions.
- Clear inherited parent `developer_instructions` for guardian review
sessions.
- Update guardian config tests to assert developer instructions are
cleared and policy text is sourced from base instructions.
## Why
Guardian review sessions are intended to run under an isolated guardian
policy. Because the guardian config is cloned from the parent config,
inherited custom or managed developer instructions could otherwise
remain active and conflict with guardian review behavior.
## Validation
- `just fmt`
- `cargo test -p codex-core guardian_review_session_config`
Co-authored-by: Codex <noreply@openai.com>
## Summary
Allow guardian to skip other fields and output only
`{"outcome":"allow"}` when the command is low risk.
This change lets guardian reviews use a non-strict text format while
keeping the JSON schema itself as plain user-visible schema data, so
transport strictness is carried out-of-band instead of through a schema
marker key.
## What changed
- Add an explicit `output_schema_strict` flag to model prompts and pass
it into `codex-api` text formatting.
- Set guardian reviewer prompts to non-strict schema validation while
preserving strict-by-default behavior for normal callers.
- Update the guardian output contract so definitely-low-risk decisions
may return only `{"outcome":"allow"}`.
- Treat bare allow responses as low-risk approvals in the guardian
parser.
- Add tests and snapshots covering the non-strict guardian request and
optional guardian output fields.
## Verification
- `cargo test -p codex-core guardian::tests::guardian`
- `cargo test -p codex-core guardian::tests::`
- `cargo test -p codex-core client_common::tests::`
- `cargo test -p codex-protocol
user_input_serialization_includes_final_output_json_schema`
- `cargo test -p codex-api`
- `git diff --check`
Note: `cargo test -p codex-core` was also attempted, but this desktop
environment injects ambient config/proxy state that causes unrelated
config/session tests expecting pristine defaults to fail.
---------
Co-authored-by: Dylan Hurd <dylan.hurd@openai.com>
Co-authored-by: Codex <noreply@openai.com>
## Description
We reuse a guardian thread for a given user thread when we can. However,
we had always sent the full transcript history every time we made a
followup review request to an existing guardian thread.
This is especially bad for long guardian threads since we keep
re-appending old transcript entries instead of just what has changed.
The fix is to just send what's new.
**Caveat**: Whenever a thread is compacted or rolled back, we fall back
to sending the full transcript to guardian again since the thread's
history has been modified. However in the happy path we get a nice
optimization.
## Before
Initial guardian review sends the full parent transcript:
```
The following is the Codex agent history whose request action you are assessing...
>>> TRANSCRIPT START
[1] user: Please check the repo visibility and push the docs fix if needed.
[2] tool gh_repo_view call: {"repo":"openai/codex"}
[3] tool gh_repo_view result: repo visibility: public
[4] assistant: The repo is public; I now need approval to push the docs fix.
>>> TRANSCRIPT END
The Codex agent has requested the following action:
>>> APPROVAL REQUEST START
...
>>> APPROVAL REQUEST END
```
And a followup to the same guardian thread would send the full
transcript again (including items 1-4 we already sent):
```
The following is the Codex agent history whose request action you are assessing...
>>> TRANSCRIPT START
[1] user: Please check the repo visibility and push the docs fix if needed.
[2] tool gh_repo_view call: {"repo":"openai/codex"}
[3] tool gh_repo_view result: repo visibility: public
[4] assistant: The repo is public; I now need approval to push the docs fix.
[5] user: Please push the second docs fix too.
[6] assistant: I need approval for the second docs fix.
>>> TRANSCRIPT END
The Codex agent has requested the following action:
>>> APPROVAL REQUEST START
...
>>> APPROVAL REQUEST END
```
## After
Initial guardian review sends the full parent transcript (this is
unchanged):
```
The following is the Codex agent history whose request action you are assessing...
>>> TRANSCRIPT START
[1] user: Please check the repo visibility and push the docs fix if needed.
[2] tool gh_repo_view call: {"repo":"openai/codex"}
[3] tool gh_repo_view result: repo visibility: public
[4] assistant: The repo is public; I now need approval to push the docs fix.
>>> TRANSCRIPT END
The Codex agent has requested the following action:
>>> APPROVAL REQUEST START
...
>>> APPROVAL REQUEST END
```
But a followup now sends:
```
The following is the Codex agent history added since your last approval assessment. Continue the same review conversation...
>>> TRANSCRIPT DELTA START
[5] user: Please push the second docs fix too.
[6] assistant: I need approval for the second docs fix.
>>> TRANSCRIPT DELTA END
The Codex agent has requested the following next action:
>>> APPROVAL REQUEST START
...
>>> APPROVAL REQUEST END
```
## Summary
- add a short guardian follow-up developer reminder before reused
reviews
- cache prior-review state on the guardian session instead of rescanning
full history on each request
- update guardian follow-up coverage and snapshot expectations
---------
Co-authored-by: Codex <noreply@openai.com>
## Summary
- move `guardian_developer_instructions` from managed config into
workspace-managed `requirements.toml`
- have guardian continue using the override when present and otherwise
fall back to the bundled local guardian prompt
- keep the generalized prompt-quality improvements in the shared
guardian default prompt
- update requirements parsing, layering, schema, and tests for the new
source of truth
## Context
This replaces the earlier managed-config / MDM rollout plan.
The intended rollout path is workspace-managed requirements, including
cloud enterprise policies, rather than backend model metadata, Statsig,
or Jamf-managed config. That keeps the default/fallback behavior local
to `codex-rs` while allowing faster policy updates through the
enterprise requirements plane.
This is intentionally an admin-managed policy input, not a user
preference: the guardian prompt should come either from the bundled
`codex-rs` default or from enterprise-managed `requirements.toml`, and
normal user/project/session config should not override it.
## Updating The OpenAI Prompt
After this lands, the OpenAI-specific guardian prompt should be updated
through the workspace Policies UI at `/codex/settings/policies` rather
than through Jamf or codex-backend model metadata.
Operationally:
- open the workspace Policies editor as a Codex admin
- edit the default `requirements.toml` policy, or a higher-precedence
group-scoped override if we ever want different behavior for a subset of
users
- set `guardian_developer_instructions = """..."""` to the full
OpenAI-specific guardian prompt text
- save the policy; codex-backend stores the raw TOML and `codex-rs`
fetches the effective requirements file from `/wham/config/requirements`
When updating the OpenAI-specific prompt, keep it aligned with the
shared default guardian policy in `codex-rs` except for intentional
OpenAI-only additions.
## Testing
- `cargo check --tests -p codex-core -p codex-config -p
codex-cloud-requirements --message-format short`
- `cargo run -p codex-core --bin codex-write-config-schema`
- `cargo fmt`
- `git diff --check`
Co-authored-by: Codex <noreply@openai.com>
## Summary
- reuse a guardian subagent session across approvals so reviews keep a
stable prompt cache key and avoid one-shot startup overhead
- clear the guardian child history before each review so prior guardian
decisions do not leak into later approvals
- include the `smart_approvals` -> `guardian_approval` feature flag
rename in the same PR to minimize release latency on a very tight
timeline
- add regression coverage for prompt-cache-key reuse without
prior-review prompt bleed
## Request
- Bug/enhancement request: internal guardian prompt-cache and latency
improvement request
---------
Co-authored-by: Codex <noreply@openai.com>
Won ParkandGitHub
Owen LinandGitHub
