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feat: make list_models non-blocking (#8198)

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### Summary
* Make `app_server.list_models` to be non-blocking and consumers (i.e.
extension) can manage the flow themselves.
* Force config to use remote models and therefore fetch codex-auto model
list.
This commit is contained in:
Shijie Rao
2025-12-17 12:13:16 -08:00
committed by GitHub
parent 1e9babe178
commit df35189366
2 changed files with 92 additions and 77 deletions
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140
codex-rs/app-server/tests/suite/v2/model_list.rs
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@@ -48,74 +48,32 @@ async fn list_models_returns_all_models_with_large_limit() -> Result<()> {
let expected_models = vec![
Model {
id: "gpt-5.1-codex-max".to_string(),
model: "gpt-5.1-codex-max".to_string(),
display_name: "gpt-5.1-codex-max".to_string(),
description: "Latest Codex-optimized flagship for deep and fast reasoning.".to_string(),
id: "gpt-5.1".to_string(),
model: "gpt-5.1".to_string(),
display_name: "gpt-5.1".to_string(),
description: "Broad world knowledge with strong general reasoning.".to_string(),
supported_reasoning_efforts: vec![
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::Low,
description: "Fast responses with lighter reasoning".to_string(),
description: "Balances speed with some reasoning; useful for straightforward \
queries and short explanations"
.to_string(),
},
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::Medium,
description: "Balances speed and reasoning depth for everyday tasks"
description: "Provides a solid balance of reasoning depth and latency for \
general-purpose tasks"
.to_string(),
},
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::High,
description: "Greater reasoning depth for complex problems".to_string(),
},
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::XHigh,
description: "Extra high reasoning depth for complex problems".to_string(),
description: "Maximizes reasoning depth for complex or ambiguous problems"
.to_string(),
},
],
default_reasoning_effort: ReasoningEffort::Medium,
is_default: true,
},
Model {
id: "gpt-5.1-codex".to_string(),
model: "gpt-5.1-codex".to_string(),
display_name: "gpt-5.1-codex".to_string(),
description: "Optimized for codex.".to_string(),
supported_reasoning_efforts: vec![
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::Low,
description: "Fastest responses with limited reasoning".to_string(),
},
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::Medium,
description: "Dynamically adjusts reasoning based on the task".to_string(),
},
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::High,
description: "Maximizes reasoning depth for complex or ambiguous problems"
.to_string(),
},
],
default_reasoning_effort: ReasoningEffort::Medium,
is_default: false,
},
Model {
id: "gpt-5.1-codex-mini".to_string(),
model: "gpt-5.1-codex-mini".to_string(),
display_name: "gpt-5.1-codex-mini".to_string(),
description: "Optimized for codex. Cheaper, faster, but less capable.".to_string(),
supported_reasoning_efforts: vec![
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::Medium,
description: "Dynamically adjusts reasoning based on the task".to_string(),
},
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::High,
description: "Maximizes reasoning depth for complex or ambiguous problems"
.to_string(),
},
],
default_reasoning_effort: ReasoningEffort::Medium,
is_default: false,
},
Model {
id: "gpt-5.2".to_string(),
model: "gpt-5.2".to_string(),
@@ -150,22 +108,14 @@ async fn list_models_returns_all_models_with_large_limit() -> Result<()> {
is_default: false,
},
Model {
id: "gpt-5.1".to_string(),
model: "gpt-5.1".to_string(),
display_name: "gpt-5.1".to_string(),
description: "Broad world knowledge with strong general reasoning.".to_string(),
id: "gpt-5.1-codex-mini".to_string(),
model: "gpt-5.1-codex-mini".to_string(),
display_name: "gpt-5.1-codex-mini".to_string(),
description: "Optimized for codex. Cheaper, faster, but less capable.".to_string(),
supported_reasoning_efforts: vec![
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::Low,
description: "Balances speed with some reasoning; useful for straightforward \
queries and short explanations"
.to_string(),
},
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::Medium,
description: "Provides a solid balance of reasoning depth and latency for \
general-purpose tasks"
.to_string(),
description: "Dynamically adjusts reasoning based on the task".to_string(),
},
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::High,
@@ -176,6 +126,56 @@ async fn list_models_returns_all_models_with_large_limit() -> Result<()> {
default_reasoning_effort: ReasoningEffort::Medium,
is_default: false,
},
Model {
id: "gpt-5.1-codex".to_string(),
model: "gpt-5.1-codex".to_string(),
display_name: "gpt-5.1-codex".to_string(),
description: "Optimized for codex.".to_string(),
supported_reasoning_efforts: vec![
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::Low,
description: "Fastest responses with limited reasoning".to_string(),
},
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::Medium,
description: "Dynamically adjusts reasoning based on the task".to_string(),
},
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::High,
description: "Maximizes reasoning depth for complex or ambiguous problems"
.to_string(),
},
],
default_reasoning_effort: ReasoningEffort::Medium,
is_default: false,
},
Model {
id: "gpt-5.1-codex-max".to_string(),
model: "gpt-5.1-codex-max".to_string(),
display_name: "gpt-5.1-codex-max".to_string(),
description: "Latest Codex-optimized flagship for deep and fast reasoning.".to_string(),
supported_reasoning_efforts: vec![
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::Low,
description: "Fast responses with lighter reasoning".to_string(),
},
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::Medium,
description: "Balances speed and reasoning depth for everyday tasks"
.to_string(),
},
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::High,
description: "Greater reasoning depth for complex problems".to_string(),
},
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::XHigh,
description: "Extra high reasoning depth for complex problems".to_string(),
},
],
default_reasoning_effort: ReasoningEffort::Medium,
is_default: false,
},
];
assert_eq!(items, expected_models);
@@ -210,7 +210,7 @@ async fn list_models_pagination_works() -> Result<()> {
} = to_response::<ModelListResponse>(first_response)?;
assert_eq!(first_items.len(), 1);
assert_eq!(first_items[0].id, "gpt-5.1-codex-max");
assert_eq!(first_items[0].id, "gpt-5.1");
let next_cursor = first_cursor.ok_or_else(|| anyhow!("cursor for second page"))?;
let second_request = mcp
@@ -232,7 +232,7 @@ async fn list_models_pagination_works() -> Result<()> {
} = to_response::<ModelListResponse>(second_response)?;
assert_eq!(second_items.len(), 1);
assert_eq!(second_items[0].id, "gpt-5.1-codex");
assert_eq!(second_items[0].id, "gpt-5.2");
let third_cursor = second_cursor.ok_or_else(|| anyhow!("cursor for third page"))?;
let third_request = mcp
@@ -276,7 +276,7 @@ async fn list_models_pagination_works() -> Result<()> {
} = to_response::<ModelListResponse>(fourth_response)?;
assert_eq!(fourth_items.len(), 1);
assert_eq!(fourth_items[0].id, "gpt-5.2");
assert_eq!(fourth_items[0].id, "gpt-5.1-codex");
let fifth_cursor = fourth_cursor.ok_or_else(|| anyhow!("cursor for fifth page"))?;
let fifth_request = mcp
@@ -298,7 +298,7 @@ async fn list_models_pagination_works() -> Result<()> {
} = to_response::<ModelListResponse>(fifth_response)?;
assert_eq!(fifth_items.len(), 1);
assert_eq!(fifth_items[0].id, "gpt-5.1");
assert_eq!(fifth_items[0].id, "gpt-5.1-codex-max");
assert!(fifth_cursor.is_none());
Ok(())
}