Files
codex/codex-rs/app-server/tests/common/models_cache.rs
Michael Bolin 9a8730f31e ci: verify codex-rs Cargo manifests inherit workspace settings (#16353)
## Why

Bazel clippy now catches lints that `cargo clippy` can still miss when a
crate under `codex-rs` forgets to opt into workspace lints. The concrete
example here was `codex-rs/app-server/tests/common/Cargo.toml`: Bazel
flagged a clippy violation in `models_cache.rs`, but Cargo did not
because that crate inherited workspace package metadata without
declaring `[lints] workspace = true`.

We already mirror the workspace clippy deny list into Bazel after
[#15955](https://github.com/openai/codex/pull/15955), so we also need a
repo-side check that keeps every `codex-rs` manifest opted into the same
workspace settings.

## What changed

- add `.github/scripts/verify_cargo_workspace_manifests.py`, which
parses every `codex-rs/**/Cargo.toml` with `tomllib` and verifies:
  - `version.workspace = true`
  - `edition.workspace = true`
  - `license.workspace = true`
  - `[lints] workspace = true`
- top-level crate names follow the `codex-*` / `codex-utils-*`
conventions, with explicit exceptions for `windows-sandbox-rs` and
`utils/path-utils`
- run that script in `.github/workflows/ci.yml`
- update the current outlier manifests so the check is enforceable
immediately
- fix the newly exposed clippy violations in the affected crates
(`app-server/tests/common`, `file-search`, `feedback`,
`shell-escalation`, and `debug-client`)






---
[//]: # (BEGIN SAPLING FOOTER)
Stack created with [Sapling](https://sapling-scm.com). Best reviewed
with [ReviewStack](https://reviewstack.dev/openai/codex/pull/16353).
* #16351
* __->__ #16353
2026-03-31 21:59:28 +00:00

96 lines
3.9 KiB
Rust

use chrono::DateTime;
use chrono::Utc;
use codex_core::test_support::all_model_presets;
use codex_protocol::config_types::ReasoningSummary;
use codex_protocol::openai_models::ConfigShellToolType;
use codex_protocol::openai_models::ModelInfo;
use codex_protocol::openai_models::ModelPreset;
use codex_protocol::openai_models::ModelVisibility;
use codex_protocol::openai_models::TruncationPolicyConfig;
use codex_protocol::openai_models::default_input_modalities;
use serde_json::json;
use std::path::Path;
/// Convert a ModelPreset to ModelInfo for cache storage.
fn preset_to_info(preset: &ModelPreset, priority: i32) -> ModelInfo {
ModelInfo {
slug: preset.id.clone(),
display_name: preset.display_name.clone(),
description: Some(preset.description.clone()),
default_reasoning_level: Some(preset.default_reasoning_effort),
supported_reasoning_levels: preset.supported_reasoning_efforts.clone(),
shell_type: ConfigShellToolType::ShellCommand,
visibility: if preset.show_in_picker {
ModelVisibility::List
} else {
ModelVisibility::Hide
},
supported_in_api: preset.supported_in_api,
priority,
upgrade: preset.upgrade.as_ref().map(Into::into),
base_instructions: "base instructions".to_string(),
model_messages: None,
supports_reasoning_summaries: false,
default_reasoning_summary: ReasoningSummary::Auto,
support_verbosity: false,
default_verbosity: None,
availability_nux: None,
apply_patch_tool_type: None,
web_search_tool_type: Default::default(),
truncation_policy: TruncationPolicyConfig::bytes(/*limit*/ 10_000),
supports_parallel_tool_calls: false,
supports_image_detail_original: false,
context_window: Some(272_000),
auto_compact_token_limit: None,
effective_context_window_percent: 95,
experimental_supported_tools: Vec::new(),
input_modalities: default_input_modalities(),
used_fallback_model_metadata: false,
supports_search_tool: false,
}
}
/// Write a models_cache.json file to the codex home directory.
/// This prevents ModelsManager from making network requests to refresh models.
/// The cache will be treated as fresh (within TTL) and used instead of fetching from the network.
/// Uses bundled-catalog-derived presets, converted to ModelInfo format.
pub fn write_models_cache(codex_home: &Path) -> std::io::Result<()> {
// Get a stable bundled-catalog-derived preset list and filter for picker-visible entries.
let presets: Vec<&ModelPreset> = all_model_presets()
.iter()
.filter(|preset| preset.show_in_picker)
.collect();
// Convert presets to ModelInfo, assigning priorities (lower = earlier in list).
// Priority is used for sorting, so the first model gets the lowest priority.
let models: Vec<ModelInfo> = presets
.iter()
.enumerate()
.map(|(idx, preset)| {
// Lower priority = earlier in list.
let priority = idx as i32;
preset_to_info(preset, priority)
})
.collect();
write_models_cache_with_models(codex_home, models)
}
/// Write a models_cache.json file with specific models.
/// Useful when tests need specific models to be available.
pub fn write_models_cache_with_models(
codex_home: &Path,
models: Vec<ModelInfo>,
) -> std::io::Result<()> {
let cache_path = codex_home.join("models_cache.json");
// DateTime<Utc> serializes to RFC3339 format by default with serde
let fetched_at: DateTime<Utc> = Utc::now();
let client_version = codex_core::models_manager::client_version_to_whole();
let cache = json!({
"fetched_at": fetched_at,
"etag": null,
"client_version": client_version,
"models": models
});
std::fs::write(cache_path, serde_json::to_string_pretty(&cache)?)
}