fix(ai): preserve Codex reasoning effort capabilities

This commit is contained in:
Coolomi
2026-07-29 04:27:07 +08:00
committed by GitHub
parent 002a2c85c0
commit 0a5fbb6f8c
3 changed files with 683 additions and 28 deletions
@@ -57,7 +57,7 @@ import { useNavigationTargets } from "@/composables/useNavigationTargets";
import { buildAiContext, runAgentStream, isVectorDbType, isValidActionForMode, defaultActionForMode, type AiAction, type AiAssistantMode, type AiSqlFileContext, type CustomPromptContext } from "@/lib/ai/ai";
import { isAiConfigModelCandidate } from "@/lib/ai/aiConfigCandidates";
import { orderAiConfigsForDisplay } from "@/lib/ai/aiConfigOrdering";
import { effortPreferenceUpdateForCapability, effortSelectionEquals, runtimeEffortFromPreference } from "@/lib/ai/aiEffortPreference";
import { effortSelectionEquals, runtimeEffortFromPreference } from "@/lib/ai/aiEffortPreference";
import { useAiModelCatalog } from "@/composables/useAiModelCatalog";
import { ACTIVE_TEMPLATES_TOTAL_MAX, promptTemplateCharacterCount } from "@/types/promptTemplate";
@@ -394,11 +394,6 @@ watch(providerSelectorOpen, (open) => {
async function ensureModelEffort(config: AiConfigItem, modelId: string, force = false) {
try {
const capability = await resolveEffort(config, modelId, force);
const isActiveModel = settings.activeModel?.configId === config.id && settings.activeModel.modelId === modelId;
if (isActiveModel) {
const preferenceUpdate = effortPreferenceUpdateForCapability(capability, settings.activeEffort);
if (preferenceUpdate !== undefined) settings.updateActiveEffort(preferenceUpdate);
}
syncEffortInputs(capability);
} catch {
// The effort section exposes the scoped retry state.
+671 -22
View File
@@ -1,22 +1,74 @@
use crate::agent_events::AgentEvent;
use crate::ai::{AiCapabilitySource, AiConfig, AiModelInfo, AiTestConnectionResult};
use crate::ai::{
AiCapabilitySource, AiConfig, AiEffortCapability, AiEffortSelection, AiModelInfo, AiReasoningLevel,
AiTestConnectionResult,
};
use crate::ai_cli_agent::{
append_config_overrides, build_cli_agent_prompt, cli_command, dbx_mcp_enabled_tools, dbx_mcp_scope_env,
model_infos, parse_cli_jsonl_event, run_cli_jsonl_agent, toml_string, toml_string_array, CliAgentCommandSpec,
CliAgentJsonlDialect, CliAgentProcessSpec, CliAgentRunOptions,
};
use serde_json::Value;
use serde_json::{json, Value};
use std::collections::hash_map::DefaultHasher;
use std::collections::{BTreeMap, BTreeSet};
use std::env;
use std::future::Future;
use std::hash::{Hash, Hasher};
use std::path::{Path, PathBuf};
use std::process::Stdio;
use std::time::Instant;
use tokio::sync::Notify;
use std::sync::LazyLock;
use std::time::{Duration, Instant};
use tokio::io::{AsyncBufReadExt, AsyncWriteExt, BufReader};
use tokio::sync::{Mutex, Notify};
const DEFAULT_CODEX_MODELS: &[&str] = &["default", "gpt-5.5", "gpt-5.4-mini"];
const CODEX_MODEL_SUCCESS_CACHE_TTL: Duration = Duration::from_secs(5 * 60);
const CODEX_MODEL_COMPATIBILITY_CACHE_TTL: Duration = Duration::from_secs(30);
const CODEX_MODEL_NEGATIVE_CACHE_TTL: Duration = Duration::from_secs(10);
const CODEX_MODEL_DISCOVERY_TIMEOUT: Duration = Duration::from_secs(3);
const CODEX_MODEL_COMPATIBILITY_TIMEOUT: Duration = Duration::from_secs(2);
#[cfg(not(windows))]
const CODEX_PATH_MARKER: &str = "__DBX_CODEX_PATH__";
#[derive(Clone, Copy, Debug, PartialEq, Eq, PartialOrd, Ord)]
enum CodexModelCacheClass {
StaticFallback,
CompatibilityFallback,
Capability,
}
impl CodexModelCacheClass {
fn ttl(self) -> Duration {
match self {
Self::Capability => CODEX_MODEL_SUCCESS_CACHE_TTL,
Self::CompatibilityFallback => CODEX_MODEL_COMPATIBILITY_CACHE_TTL,
Self::StaticFallback => CODEX_MODEL_NEGATIVE_CACHE_TTL,
}
}
}
#[derive(Clone)]
struct CodexModelDiscovery {
class: CodexModelCacheClass,
models: Vec<AiModelInfo>,
}
#[derive(Clone)]
struct CachedCodexModels {
key: u64,
loaded_at: Instant,
class: CodexModelCacheClass,
models: Vec<AiModelInfo>,
}
impl CachedCodexModels {
fn is_fresh(&self, key: u64, now: Instant) -> bool {
self.key == key && now.saturating_duration_since(self.loaded_at) < self.class.ttl()
}
}
static CODEX_MODEL_CACHE: LazyLock<Mutex<Option<CachedCodexModels>>> = LazyLock::new(|| Mutex::new(None));
pub type CodexRunOptions = CliAgentRunOptions;
pub type CodexCommandSpec = CliAgentCommandSpec;
@@ -67,7 +119,26 @@ fn windows_npm_codex_shim_command(program: &str) -> Option<CodexCommandSpec> {
}
fn codex_process_env(config: &AiConfig, command: &CodexCommandSpec) -> Result<Vec<(String, String)>, String> {
let inherited_env_keys = env::vars_os().map(|(key, _)| key.to_string_lossy().into_owned()).collect::<Vec<_>>();
codex_process_env_with_system_proxy(
config,
command,
crate::update::system_proxy_url().as_deref(),
&inherited_env_keys,
)
}
fn codex_process_env_with_system_proxy(
config: &AiConfig,
command: &CodexCommandSpec,
system_proxy: Option<&str>,
inherited_env_keys: &[String],
) -> Result<Vec<(String, String)>, String> {
let mut env = BTreeMap::from_iter(codex_cli_env(config)?);
if let Some(proxy) = system_proxy.filter(|proxy| !proxy.trim().is_empty()) {
insert_env_if_absent(&mut env, inherited_env_keys, "HTTP_PROXY", proxy);
insert_env_if_absent(&mut env, inherited_env_keys, "HTTPS_PROXY", proxy);
}
if let Some(dir) = command.parent_dir() {
let user_path = env.get("PATH").map(String::as_str);
env.insert("PATH".to_string(), merged_path_with_dir(&dir, user_path));
@@ -75,6 +146,14 @@ fn codex_process_env(config: &AiConfig, command: &CodexCommandSpec) -> Result<Ve
Ok(env.into_iter().collect())
}
fn insert_env_if_absent(env: &mut BTreeMap<String, String>, inherited_env_keys: &[String], key: &str, value: &str) {
// Child processes inherit the parent environment, so an inherited lowercase proxy must also block uppercase injection.
let is_present = env.keys().chain(inherited_env_keys).any(|existing| existing.eq_ignore_ascii_case(key));
if !is_present {
env.insert(key.to_string(), value.to_string());
}
}
trait CommandParentDir {
fn parent_dir(&self) -> Option<String>;
}
@@ -444,22 +523,283 @@ pub fn build_codex_prompt(system_prompt: &str, messages: &[crate::ai::AiMessage]
pub async fn list_codex_models(config: &AiConfig) -> Result<Vec<AiModelInfo>, String> {
validate_codex_program(config)?;
let command = resolve_codex_command(config).await;
let output = cli_command(&command.program)
.args(command.args.iter().map(String::as_str))
.args(["debug", "models"])
.envs(codex_process_env(config, &command)?.iter().map(|(key, value)| (key.as_str(), value.as_str())))
.output()
.await;
let process_env = codex_process_env(config, &command)?;
let cache_key = codex_model_cache_key(&command, &process_env);
Ok(list_codex_models_cached(&CODEX_MODEL_CACHE, cache_key, || async {
list_codex_models_uncached(&command, &process_env).await
})
.await)
}
let Ok(output) = output else {
return Ok(model_infos(DEFAULT_CODEX_MODELS));
};
if !output.status.success() {
return Ok(model_infos(DEFAULT_CODEX_MODELS));
async fn list_codex_models_cached<F, Fut>(
cache: &Mutex<Option<CachedCodexModels>>,
cache_key: u64,
discover: F,
) -> Vec<AiModelInfo>
where
F: FnOnce() -> Fut,
Fut: Future<Output = CodexModelDiscovery>,
{
let now = Instant::now();
if let Some(models) = {
let cache = cache.lock().await;
cache.as_ref().filter(|entry| entry.is_fresh(cache_key, now)).map(|entry| entry.models.clone())
} {
return models;
}
Ok(parse_codex_models(&String::from_utf8_lossy(&output.stdout))
.unwrap_or_else(|| model_infos(DEFAULT_CODEX_MODELS)))
let discovery = discover().await;
let loaded_at = Instant::now();
let mut cache = cache.lock().await;
if let Some(entry) = cache.as_ref().filter(|entry| entry.is_fresh(cache_key, loaded_at)) {
if entry.class >= discovery.class {
return entry.models.clone();
}
}
*cache =
Some(CachedCodexModels { key: cache_key, loaded_at, class: discovery.class, models: discovery.models.clone() });
discovery.models
}
fn codex_model_cache_key(command: &CodexCommandSpec, process_env: &[(String, String)]) -> u64 {
let mut hasher = DefaultHasher::new();
command.program.hash(&mut hasher);
command.args.hash(&mut hasher);
process_env.hash(&mut hasher);
for name in [
"CODEX_HOME",
"OPENAI_API_KEY",
"CODEX_API_KEY",
"OPENAI_BASE_URL",
"OPENAI_ORGANIZATION",
"OPENAI_PROJECT",
"HOME",
"USERPROFILE",
"PATH",
"HTTP_PROXY",
"HTTPS_PROXY",
"NO_PROXY",
"http_proxy",
"https_proxy",
"no_proxy",
] {
name.hash(&mut hasher);
env::var_os(name).hash(&mut hasher);
}
hasher.finish()
}
async fn list_codex_models_uncached(
command: &CodexCommandSpec,
process_env: &[(String, String)],
) -> CodexModelDiscovery {
if let Ok(models) = list_codex_models_via_app_server(command, process_env).await {
return CodexModelDiscovery { class: CodexModelCacheClass::Capability, models };
}
let mut compatibility_command = cli_command(&command.program);
compatibility_command
.args(command.args.iter().map(String::as_str))
.args(["debug", "models"])
.envs(process_env.iter().map(|(key, value)| (key.as_str(), value.as_str())))
.kill_on_drop(true);
let output = with_codex_model_discovery_timeout(CODEX_MODEL_COMPATIBILITY_TIMEOUT, async move {
compatibility_command.output().await.map_err(|error| error.to_string())
})
.await;
let Ok(output) = output else {
return CodexModelDiscovery {
class: CodexModelCacheClass::StaticFallback,
models: model_infos(DEFAULT_CODEX_MODELS),
};
};
if !output.status.success() {
return CodexModelDiscovery {
class: CodexModelCacheClass::StaticFallback,
models: model_infos(DEFAULT_CODEX_MODELS),
};
}
match parse_codex_models(&String::from_utf8_lossy(&output.stdout)) {
Some(models) => CodexModelDiscovery { class: CodexModelCacheClass::CompatibilityFallback, models },
None => CodexModelDiscovery {
class: CodexModelCacheClass::StaticFallback,
models: model_infos(DEFAULT_CODEX_MODELS),
},
}
}
async fn list_codex_models_via_app_server(
command: &CodexCommandSpec,
process_env: &[(String, String)],
) -> Result<Vec<AiModelInfo>, String> {
with_codex_model_discovery_timeout(
CODEX_MODEL_DISCOVERY_TIMEOUT,
list_codex_models_via_app_server_inner(command, process_env),
)
.await
}
async fn with_codex_model_discovery_timeout<T, F>(timeout: Duration, discovery: F) -> Result<T, String>
where
F: Future<Output = Result<T, String>>,
{
tokio::time::timeout(timeout, discovery).await.map_err(|_| "Codex model discovery timed out".to_string())?
}
async fn list_codex_models_via_app_server_inner(
command: &CodexCommandSpec,
process_env: &[(String, String)],
) -> Result<Vec<AiModelInfo>, String> {
let mut process = cli_command(&command.program);
process
.args(command.args.iter().map(String::as_str))
.arg("app-server")
.envs(process_env.iter().map(|(key, value)| (key.as_str(), value.as_str())))
.stdin(Stdio::piped())
.stdout(Stdio::piped())
.stderr(Stdio::null())
.kill_on_drop(true);
let mut child = process.spawn().map_err(|error| error.to_string())?;
let mut stdin = child.stdin.take().ok_or_else(|| "Codex app-server stdin is unavailable".to_string())?;
let stdout = child.stdout.take().ok_or_else(|| "Codex app-server stdout is unavailable".to_string())?;
let mut lines = BufReader::new(stdout).lines();
let mut model_values = Vec::new();
let mut model_list_request_id = 2;
write_codex_app_server_message(
&mut stdin,
&json!({
"method": "initialize",
"id": 1,
"params": {
"clientInfo": {
"name": "dbx",
"title": "DBX",
"version": env!("CARGO_PKG_VERSION")
}
}
}),
)
.await?;
while let Some(line) = lines.next_line().await.map_err(|error| error.to_string())? {
let Ok(message) = serde_json::from_str::<Value>(&line) else {
continue;
};
match message.get("id").and_then(Value::as_u64) {
Some(1) => {
if let Some(error) = message.get("error") {
return Err(format!("Codex app-server initialization failed: {error}"));
}
write_codex_app_server_message(&mut stdin, &json!({ "method": "initialized" })).await?;
write_codex_model_list_request(&mut stdin, model_list_request_id, None).await?;
}
Some(id) if id == model_list_request_id => {
if let Some(error) = message.get("error") {
return Err(format!("Codex model/list failed: {error}"));
}
let page = message
.pointer("/result/data")
.or_else(|| message.pointer("/result/models"))
.and_then(Value::as_array)
.ok_or_else(|| "Codex model/list returned an invalid response".to_string())?;
model_values.extend(page.iter().cloned());
let next_cursor = message
.pointer("/result/nextCursor")
.or_else(|| message.pointer("/result/next_cursor"))
.and_then(Value::as_str)
.map(str::trim)
.filter(|cursor| !cursor.is_empty());
if let Some(next_cursor) = next_cursor {
model_list_request_id += 1;
write_codex_model_list_request(&mut stdin, model_list_request_id, Some(next_cursor)).await?;
continue;
}
return parse_codex_app_server_models(&json!({ "result": { "data": model_values } }))
.ok_or_else(|| "Codex model/list returned no models".to_string());
}
_ => {}
}
}
Err("Codex app-server exited before model/list completed".to_string())
}
async fn write_codex_app_server_message(stdin: &mut tokio::process::ChildStdin, message: &Value) -> Result<(), String> {
let mut payload = serde_json::to_vec(message).map_err(|error| error.to_string())?;
payload.push(b'\n');
stdin.write_all(&payload).await.map_err(|error| error.to_string())?;
stdin.flush().await.map_err(|error| error.to_string())
}
async fn write_codex_model_list_request(
stdin: &mut tokio::process::ChildStdin,
request_id: u64,
cursor: Option<&str>,
) -> Result<(), String> {
let params = cursor.map_or_else(|| json!({}), |cursor| json!({ "cursor": cursor }));
write_codex_app_server_message(stdin, &json!({ "method": "model/list", "id": request_id, "params": params })).await
}
fn parse_codex_app_server_models(message: &Value) -> Option<Vec<AiModelInfo>> {
let models =
message.pointer("/result/data").or_else(|| message.pointer("/result/models")).and_then(Value::as_array)?;
let mut default_capability = None;
let mut concrete_models = Vec::new();
for model in models {
let Some(id) = model
.get("id")
.and_then(Value::as_str)
.or_else(|| model.get("model").and_then(Value::as_str))
.map(str::trim)
.filter(|id| !id.is_empty())
else {
continue;
};
if concrete_models.iter().any(|existing: &AiModelInfo| existing.id == id) {
continue;
}
let display_name = model
.get("displayName")
.or_else(|| model.get("display_name"))
.and_then(Value::as_str)
.map(str::trim)
.filter(|name| !name.is_empty())
.map(ToString::to_string);
let levels = model
.get("supportedReasoningEfforts")
.or_else(|| model.get("supported_reasoning_efforts"))
.and_then(Value::as_array)
.into_iter()
.flatten()
.filter_map(|level| {
level
.as_str()
.or_else(|| level.get("reasoningEffort").and_then(Value::as_str))
.or_else(|| level.get("reasoning_effort").and_then(Value::as_str))
.or_else(|| level.get("effort").and_then(Value::as_str))
});
let capability = crate::ai_effort::dynamic_enum_capability(levels, AiCapabilitySource::LocalCli);
if model.get("isDefault").or_else(|| model.get("is_default")).and_then(Value::as_bool).unwrap_or(false) {
default_capability = capability.clone();
}
let mut info = AiModelInfo::new(id, display_name);
info.effort_capability = capability;
concrete_models.push(info);
}
if concrete_models.is_empty() {
return None;
}
let mut default_model = AiModelInfo::new("default", Some("Default".to_string()));
default_model.effort_capability = default_capability;
let mut result = Vec::with_capacity(concrete_models.len() + 1);
result.push(default_model);
result.extend(concrete_models);
Some(result)
}
fn parse_codex_models(stdout: &str) -> Option<Vec<AiModelInfo>> {
@@ -507,6 +847,49 @@ fn parse_codex_models(stdout: &str) -> Option<Vec<AiModelInfo>> {
(result.len() > 1).then_some(result)
}
fn capability_supports_effort(capability: &AiEffortCapability, effort: &str) -> bool {
let AiEffortCapability::Enum { options, .. } = capability else {
return false;
};
options.iter().any(|option| option.selection.explicit_string() == Some(effort))
}
fn legacy_minimal_effort(capability: Option<&AiEffortCapability>) -> &'static str {
let Some(capability) = capability else {
return "minimal";
};
if capability_supports_effort(capability, "minimal") {
"minimal"
} else if capability_supports_effort(capability, "low") {
"low"
} else {
"minimal"
}
}
async fn capability_aware_codex_config(config: &AiConfig) -> AiConfig {
if config.runtime_effort.is_some() || config.reasoning_level != AiReasoningLevel::Minimal {
return config.clone();
}
let mut effective = config.clone();
let selected_model = config.model.trim();
let selected_model = if selected_model.is_empty() || selected_model.eq_ignore_ascii_case("default") {
"default"
} else {
selected_model
};
let capability = list_codex_models(config)
.await
.ok()
.and_then(|models| models.into_iter().find(|model| model.id == selected_model))
.and_then(|model| model.effort_capability);
if legacy_minimal_effort(capability.as_ref()) == "low" {
effective.runtime_effort = Some(AiEffortSelection::Enum("low".to_string()));
}
effective
}
pub async fn test_codex_connection(config: &AiConfig) -> Result<AiTestConnectionResult, String> {
let start = Instant::now();
validate_codex_program(config)?;
@@ -577,7 +960,8 @@ pub async fn run_codex_agent(
on_event: impl Fn(AgentEvent) + Send + Sync + 'static,
) -> Result<String, String> {
validate_codex_program(config)?;
let mut command = build_codex_exec_command(config, prompt, &options);
let effective_config = capability_aware_codex_config(config).await;
let mut command = build_codex_exec_command(&effective_config, prompt, &options);
let resolved_command = resolve_codex_command(config).await;
command.program = resolved_command.program;
command.args.splice(0..0, resolved_command.args);
@@ -603,19 +987,32 @@ mod tests {
#[cfg(not(windows))]
use super::shell_quote;
use super::{
build_codex_exec_command, classify_codex_spawn_error, codex_cli_env, codex_enabled_tools, is_path_like_program,
parse_codex_jsonl_event, parse_codex_models, validate_codex_program, CodexRunOptions, DEFAULT_CODEX_MODELS,
build_codex_exec_command, classify_codex_spawn_error, codex_cli_env, codex_enabled_tools,
codex_model_cache_key, is_path_like_program, legacy_minimal_effort, list_codex_models_cached,
parse_codex_app_server_models, parse_codex_jsonl_event, parse_codex_models, validate_codex_program,
with_codex_model_discovery_timeout, CachedCodexModels, CodexModelCacheClass, CodexModelDiscovery,
CodexRunOptions, CODEX_MODEL_COMPATIBILITY_CACHE_TTL, CODEX_MODEL_COMPATIBILITY_TIMEOUT,
CODEX_MODEL_DISCOVERY_TIMEOUT, CODEX_MODEL_NEGATIVE_CACHE_TTL, CODEX_MODEL_SUCCESS_CACHE_TTL,
DEFAULT_CODEX_MODELS,
};
#[cfg(not(windows))]
use super::{codex_process_env, common_executable_dirs, merged_path_with_dir};
use super::{codex_process_env, codex_process_env_with_system_proxy, common_executable_dirs, merged_path_with_dir};
#[cfg(windows)]
use super::{
direct_program_path, first_windows_program_path, program_path_candidates, resolve_codex_command,
windows_npm_codex_shim_command,
};
use crate::agent_events::AgentEvent;
use crate::ai::{AiApiStyle, AiAuthMethod, AiConfig, AiEffortSelection, AiProvider, AiReasoningLevel};
use crate::ai::{
AiApiStyle, AiAuthMethod, AiCapabilitySource, AiConfig, AiEffortCapability, AiEffortSelection, AiProvider,
AiReasoningLevel,
};
use crate::ai_cli_agent::{model_infos, CliAgentCommandSpec};
use serde_json::json;
use std::sync::atomic::{AtomicUsize, Ordering};
use std::sync::Arc;
use std::time::{Duration, Instant};
use tokio::sync::{Barrier, Mutex, Notify};
fn codex_config(model: &str) -> AiConfig {
AiConfig {
@@ -654,6 +1051,10 @@ mod tests {
}
}
fn model_discovery(class: CodexModelCacheClass, ids: &[&str]) -> CodexModelDiscovery {
CodexModelDiscovery { class, models: model_infos(ids) }
}
#[test]
fn builds_codex_command_with_scoped_mcp_and_omits_default_model() {
let spec = build_codex_exec_command(&codex_config("default"), "hello", &run_options());
@@ -708,6 +1109,17 @@ mod tests {
assert!(spec.args.contains(&"model_reasoning_effort=\"high\"".to_string()));
}
#[test]
fn keeps_minimal_reasoning_literal_without_capability_fallback() {
let mut config = codex_config("default");
config.reasoning_level = AiReasoningLevel::Minimal;
let spec = build_codex_exec_command(&config, "hello", &run_options());
assert!(spec.args.contains(&"model_reasoning_effort=\"minimal\"".to_string()));
assert!(!spec.args.contains(&"model_reasoning_effort=\"low\"".to_string()));
}
#[test]
fn runtime_effort_takes_priority_over_legacy_reasoning_level() {
let mut config = codex_config("default");
@@ -907,6 +1319,45 @@ mod tests {
assert!(dirs.iter().any(|dir| dir == std::path::Path::new("/custom/bin")));
}
#[test]
fn codex_process_env_uses_system_proxy_when_not_configured() {
let config = codex_config("default");
let command = CliAgentCommandSpec { program: "/opt/homebrew/bin/codex".to_string(), args: Vec::new() };
let env = codex_process_env_with_system_proxy(&config, &command, Some("http://127.0.0.1:7897"), &[]).unwrap();
assert!(env.contains(&("HTTP_PROXY".to_string(), "http://127.0.0.1:7897".to_string())));
assert!(env.contains(&("HTTPS_PROXY".to_string(), "http://127.0.0.1:7897".to_string())));
}
#[test]
fn explicit_codex_proxy_env_overrides_system_proxy() {
let mut config = codex_config("default");
config.codex_cli_env.insert("http_proxy".to_string(), "http://manual-http:9800".to_string());
config.codex_cli_env.insert("HTTPS_PROXY".to_string(), "http://manual-https:9801".to_string());
let command = CliAgentCommandSpec { program: "/opt/homebrew/bin/codex".to_string(), args: Vec::new() };
let env = codex_process_env_with_system_proxy(&config, &command, Some("http://127.0.0.1:7897"), &[]).unwrap();
assert!(env.contains(&("http_proxy".to_string(), "http://manual-http:9800".to_string())));
assert!(env.contains(&("HTTPS_PROXY".to_string(), "http://manual-https:9801".to_string())));
assert!(!env.iter().any(|(_, value)| value == "http://127.0.0.1:7897"));
}
#[test]
fn inherited_proxy_env_overrides_system_proxy() {
let config = codex_config("default");
let command = CliAgentCommandSpec { program: "/opt/homebrew/bin/codex".to_string(), args: Vec::new() };
let inherited_env_keys = vec!["https_proxy".to_string()];
let env =
codex_process_env_with_system_proxy(&config, &command, Some("http://127.0.0.1:7897"), &inherited_env_keys)
.unwrap();
assert!(env.contains(&("HTTP_PROXY".to_string(), "http://127.0.0.1:7897".to_string())));
assert!(!env.iter().any(|(key, _)| key.eq_ignore_ascii_case("HTTPS_PROXY")));
}
#[test]
#[cfg(not(windows))]
fn shell_quote_handles_codex_program_names() {
@@ -996,6 +1447,204 @@ mod tests {
assert!(!models.iter().any(|model| model.id == "priority" || model.id == "Priority"));
}
#[test]
fn app_server_default_inherits_selected_model_effort_capability() {
let models = parse_codex_app_server_models(&json!({
"id": 2,
"result": {
"data": [
{
"id": "gpt-low-only",
"displayName": "GPT low only",
"isDefault": true,
"supportedReasoningEfforts": [
{ "reasoningEffort": "low" },
{ "reasoningEffort": "medium" },
{ "reasoningEffort": "high" }
]
},
{
"id": "gpt-minimal",
"displayName": "GPT minimal",
"isDefault": false,
"supportedReasoningEfforts": [
{ "reasoningEffort": "minimal" },
{ "reasoningEffort": "low" }
]
}
],
"nextCursor": null
}
}))
.unwrap();
assert_eq!(
models.iter().map(|model| model.id.as_str()).collect::<Vec<_>>(),
["default", "gpt-low-only", "gpt-minimal"]
);
assert_eq!(legacy_minimal_effort(models[0].effort_capability.as_ref()), "low");
assert_eq!(legacy_minimal_effort(models[1].effort_capability.as_ref()), "low");
assert_eq!(legacy_minimal_effort(models[2].effort_capability.as_ref()), "minimal");
}
#[test]
fn legacy_minimal_preserves_unknown_or_non_enum_capabilities() {
assert_eq!(legacy_minimal_effort(None), "minimal");
assert_eq!(legacy_minimal_effort(Some(&AiEffortCapability::Unsupported)), "minimal");
assert_eq!(
legacy_minimal_effort(Some(&AiEffortCapability::FreeText {
placeholder: None,
source: AiCapabilitySource::LocalCli,
})),
"minimal"
);
}
#[test]
fn model_cache_uses_bounded_success_fallback_and_negative_ttls() {
assert_eq!(CODEX_MODEL_DISCOVERY_TIMEOUT, Duration::from_secs(3));
assert_eq!(CODEX_MODEL_COMPATIBILITY_TIMEOUT, Duration::from_secs(2));
assert_eq!(CODEX_MODEL_SUCCESS_CACHE_TTL, Duration::from_secs(5 * 60));
assert_eq!(CODEX_MODEL_COMPATIBILITY_CACHE_TTL, Duration::from_secs(30));
assert_eq!(CODEX_MODEL_NEGATIVE_CACHE_TTL, Duration::from_secs(10));
let loaded_at = Instant::now();
for class in [
CodexModelCacheClass::Capability,
CodexModelCacheClass::CompatibilityFallback,
CodexModelCacheClass::StaticFallback,
] {
let entry = CachedCodexModels { key: 7, loaded_at, class, models: Vec::new() };
assert!(entry.is_fresh(7, loaded_at + class.ttl() - Duration::from_millis(1)));
assert!(!entry.is_fresh(7, loaded_at + class.ttl()));
assert!(!entry.is_fresh(8, loaded_at));
}
}
#[test]
fn model_cache_key_tracks_resolved_command_and_process_env() {
let command =
CliAgentCommandSpec { program: "/opt/codex/bin/codex".to_string(), args: vec!["shim.js".to_string()] };
let process_env = vec![("CODEX_HOME".to_string(), "/tmp/codex-a".to_string())];
let key = codex_model_cache_key(&command, &process_env);
assert_eq!(key, codex_model_cache_key(&command, &process_env));
assert_ne!(
key,
codex_model_cache_key(
&CliAgentCommandSpec { program: "/usr/local/bin/codex".to_string(), args: command.args.clone() },
&process_env,
)
);
assert_ne!(key, codex_model_cache_key(&command, &[("CODEX_HOME".to_string(), "/tmp/codex-b".to_string())],));
}
#[tokio::test]
async fn concurrent_cache_misses_do_not_hold_the_mutex_during_discovery() {
let cache = Arc::new(Mutex::new(None));
let barrier = Arc::new(Barrier::new(2));
let probes = Arc::new(AtomicUsize::new(0));
let mut tasks = Vec::new();
for _ in 0..2 {
let cache = cache.clone();
let barrier = barrier.clone();
let probes = probes.clone();
tasks.push(tokio::spawn(async move {
list_codex_models_cached(cache.as_ref(), 7, || async move {
probes.fetch_add(1, Ordering::SeqCst);
barrier.wait().await;
model_discovery(CodexModelCacheClass::Capability, &["default", "gpt-minimal"])
})
.await
}));
}
let (first, second) = tokio::time::timeout(Duration::from_millis(500), async {
tokio::try_join!(tasks.remove(0), tasks.remove(0))
})
.await
.expect("concurrent discovery should not serialize behind the cache mutex")
.unwrap();
assert_eq!(probes.load(Ordering::SeqCst), 2);
assert_eq!(first, model_infos(&["default", "gpt-minimal"]));
assert_eq!(second, first);
}
#[tokio::test]
async fn slower_fallback_does_not_replace_a_fresh_capability_result() {
let cache = Arc::new(Mutex::new(None));
let fallback_started = Arc::new(Notify::new());
let release_fallback = Arc::new(Notify::new());
let fallback_task = {
let cache = cache.clone();
let fallback_started = fallback_started.clone();
let release_fallback = release_fallback.clone();
tokio::spawn(async move {
list_codex_models_cached(cache.as_ref(), 9, || async move {
fallback_started.notify_one();
release_fallback.notified().await;
model_discovery(CodexModelCacheClass::StaticFallback, &["default", "fallback"])
})
.await
})
};
fallback_started.notified().await;
let capability = list_codex_models_cached(cache.as_ref(), 9, || async {
model_discovery(CodexModelCacheClass::Capability, &["default", "gpt-minimal"])
})
.await;
release_fallback.notify_one();
let fallback_result = tokio::time::timeout(Duration::from_millis(500), fallback_task)
.await
.expect("fallback discovery should finish after release")
.unwrap();
assert_eq!(capability, model_infos(&["default", "gpt-minimal"]));
assert_eq!(fallback_result, capability);
assert_eq!(cache.lock().await.as_ref().unwrap().class, CodexModelCacheClass::Capability);
}
#[tokio::test]
async fn compatibility_and_static_fallbacks_are_cached_briefly() {
for (key, class) in
[(11, CodexModelCacheClass::CompatibilityFallback), (12, CodexModelCacheClass::StaticFallback)]
{
let cache = Mutex::new(None);
let probes = Arc::new(AtomicUsize::new(0));
let first_probes = probes.clone();
let first = list_codex_models_cached(&cache, key, || async move {
first_probes.fetch_add(1, Ordering::SeqCst);
model_discovery(class, &["default", "fallback"])
})
.await;
let second_probes = probes.clone();
let second = list_codex_models_cached(&cache, key, || async move {
second_probes.fetch_add(1, Ordering::SeqCst);
model_discovery(CodexModelCacheClass::Capability, &["default", "unexpected"])
})
.await;
assert_eq!(probes.load(Ordering::SeqCst), 1);
assert_eq!(first, model_infos(&["default", "fallback"]));
assert_eq!(second, first);
}
}
#[tokio::test]
async fn discovery_timeout_can_be_tested_without_a_real_slow_process() {
let result = with_codex_model_discovery_timeout(
Duration::from_millis(5),
std::future::pending::<Result<Vec<crate::ai::AiModelInfo>, String>>(),
)
.await;
assert_eq!(result.unwrap_err(), "Codex model discovery timed out");
}
#[test]
fn classifies_windows_command_line_too_long_spawn_error() {
let err = classify_codex_spawn_error("文件名或扩展名太长。 (os error 206)");
+11
View File
@@ -59,6 +59,17 @@ test("AI effort control opens as a hoverable side submenu", () => {
assert.doesNotMatch(selector, /v-if="effortPanelOpen"/);
});
test("AI model and effort menu refreshes do not persist effort settings", () => {
const loaderStart = source.indexOf("async function ensureModelEffort");
const loaderEnd = source.indexOf("function handleModelSelect", loaderStart);
const loader = source.slice(loaderStart, loaderEnd);
assert.notEqual(loaderStart, -1, "the effort capability loader should exist");
assert.notEqual(loaderEnd, -1, "the model selection handler should follow the effort loader");
assert.match(loader, /await resolveEffort\(config, modelId, force\)/);
assert.doesNotMatch(loader, /updateActiveEffort|persistAiChatSelection/);
});
test("AI composer template remains compilable", () => {
const { descriptor, errors } = parse(source, { filename: aiAssistantPath });
assert.deepEqual(errors, []);