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Support SYSTEM skills. (#8220)

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1. Remove PUBLIC skills and introduce SYSTEM skills embedded in the
binary and installed into $CODEX_HOME/skills/.system at startup.
2. Skills are now always enabled (feature flag removed).
3. Update skills/list to accept forceReload and plumb it through (not
used by clients yet).
This commit is contained in:
xl-openai
2025-12-17 18:48:28 -08:00
committed by GitHub
parent 6f102e18c4
commit da3869eeb6
32 changed files with 1965 additions and 723 deletions
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46
codex-rs/core/tests/suite/compact.rs
View File

@@ -589,7 +589,36 @@ async fn multiple_auto_compact_per_task_runs_after_token_limit_hit() {
.body_json::<serde_json::Value>()
.unwrap();
let input = body.get("input").and_then(|v| v.as_array()).unwrap();
let environment_message = input[0]["content"][0]["text"].as_str().unwrap();
fn normalize_inputs(values: &[serde_json::Value]) -> Vec<serde_json::Value> {
values
.iter()
.filter(|value| {
if value
.get("type")
.and_then(|ty| ty.as_str())
.is_some_and(|ty| ty == "function_call_output")
{
return false;
}
let text = value
.get("content")
.and_then(|content| content.as_array())
.and_then(|content| content.first())
.and_then(|item| item.get("text"))
.and_then(|text| text.as_str());
// Ignore the cached UI prefix (project docs + skills) since it is not relevant to
// compaction behavior and can change as bundled skills evolve.
!text.is_some_and(|text| text.starts_with("# AGENTS.md instructions for "))
})
.cloned()
.collect()
}
let initial_input = normalize_inputs(input);
let environment_message = initial_input[0]["content"][0]["text"].as_str().unwrap();
// test 1: after compaction, we should have one environment message, one user message, and one user message with summary prefix
let compaction_indices = [2, 4, 6];
@@ -603,6 +632,7 @@ async fn multiple_auto_compact_per_task_runs_after_token_limit_hit() {
.body_json::<serde_json::Value>()
.unwrap();
let input = body.get("input").and_then(|v| v.as_array()).unwrap();
let input = normalize_inputs(input);
assert_eq!(input.len(), 3);
let environment_message = input[0]["content"][0]["text"].as_str().unwrap();
let user_message_received = input[1]["content"][0]["text"].as_str().unwrap();
@@ -962,20 +992,6 @@ async fn multiple_auto_compact_per_task_runs_after_token_limit_hit() {
]
]);
// ignore local shell calls output because it differs from OS to another and it's out of the scope of this test.
fn normalize_inputs(values: &[serde_json::Value]) -> Vec<serde_json::Value> {
values
.iter()
.filter(|value| {
value
.get("type")
.and_then(|ty| ty.as_str())
.is_none_or(|ty| ty != "function_call_output")
})
.cloned()
.collect()
}
for (i, request) in requests_payloads.iter().enumerate() {
let body = request.body_json::<serde_json::Value>().unwrap();
let input = body.get("input").and_then(|v| v.as_array()).unwrap();