Files
llmx/codex-rs/app-server/tests/suite/v2/model_list.rs
Owen Lin fdb9fa301e chore: move relevant tests to app-server/tests/suite/v2 (#6289)
These are technically app-server v2 APIs, so move them to the same
directory as the others.
2025-11-06 10:53:17 -08:00

187 lines
6.3 KiB
Rust

use std::time::Duration;
use anyhow::Result;
use anyhow::anyhow;
use app_test_support::McpProcess;
use app_test_support::to_response;
use codex_app_server_protocol::JSONRPCError;
use codex_app_server_protocol::JSONRPCResponse;
use codex_app_server_protocol::Model;
use codex_app_server_protocol::ModelListParams;
use codex_app_server_protocol::ModelListResponse;
use codex_app_server_protocol::ReasoningEffortOption;
use codex_app_server_protocol::RequestId;
use codex_protocol::config_types::ReasoningEffort;
use pretty_assertions::assert_eq;
use tempfile::TempDir;
use tokio::time::timeout;
const DEFAULT_TIMEOUT: Duration = Duration::from_secs(10);
const INVALID_REQUEST_ERROR_CODE: i64 = -32600;
#[tokio::test]
async fn list_models_returns_all_models_with_large_limit() -> Result<()> {
let codex_home = TempDir::new()?;
let mut mcp = McpProcess::new(codex_home.path()).await?;
timeout(DEFAULT_TIMEOUT, mcp.initialize()).await??;
let request_id = mcp
.send_list_models_request(ModelListParams {
limit: Some(100),
cursor: None,
})
.await?;
let response: JSONRPCResponse = timeout(
DEFAULT_TIMEOUT,
mcp.read_stream_until_response_message(RequestId::Integer(request_id)),
)
.await??;
let ModelListResponse {
data: items,
next_cursor,
} = to_response::<ModelListResponse>(response)?;
let expected_models = vec![
Model {
id: "gpt-5-codex".to_string(),
model: "gpt-5-codex".to_string(),
display_name: "gpt-5-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: true,
},
Model {
id: "gpt-5".to_string(),
model: "gpt-5".to_string(),
display_name: "gpt-5".to_string(),
description: "Broad world knowledge with strong general reasoning.".to_string(),
supported_reasoning_efforts: vec![
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::Minimal,
description: "Fastest responses with little reasoning".to_string(),
},
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(),
},
ReasoningEffortOption {
reasoning_effort: ReasoningEffort::High,
description: "Maximizes reasoning depth for complex or ambiguous problems"
.to_string(),
},
],
default_reasoning_effort: ReasoningEffort::Medium,
is_default: false,
},
];
assert_eq!(items, expected_models);
assert!(next_cursor.is_none());
Ok(())
}
#[tokio::test]
async fn list_models_pagination_works() -> Result<()> {
let codex_home = TempDir::new()?;
let mut mcp = McpProcess::new(codex_home.path()).await?;
timeout(DEFAULT_TIMEOUT, mcp.initialize()).await??;
let first_request = mcp
.send_list_models_request(ModelListParams {
limit: Some(1),
cursor: None,
})
.await?;
let first_response: JSONRPCResponse = timeout(
DEFAULT_TIMEOUT,
mcp.read_stream_until_response_message(RequestId::Integer(first_request)),
)
.await??;
let ModelListResponse {
data: first_items,
next_cursor: first_cursor,
} = to_response::<ModelListResponse>(first_response)?;
assert_eq!(first_items.len(), 1);
assert_eq!(first_items[0].id, "gpt-5-codex");
let next_cursor = first_cursor.ok_or_else(|| anyhow!("cursor for second page"))?;
let second_request = mcp
.send_list_models_request(ModelListParams {
limit: Some(1),
cursor: Some(next_cursor.clone()),
})
.await?;
let second_response: JSONRPCResponse = timeout(
DEFAULT_TIMEOUT,
mcp.read_stream_until_response_message(RequestId::Integer(second_request)),
)
.await??;
let ModelListResponse {
data: second_items,
next_cursor: second_cursor,
} = to_response::<ModelListResponse>(second_response)?;
assert_eq!(second_items.len(), 1);
assert_eq!(second_items[0].id, "gpt-5");
assert!(second_cursor.is_none());
Ok(())
}
#[tokio::test]
async fn list_models_rejects_invalid_cursor() -> Result<()> {
let codex_home = TempDir::new()?;
let mut mcp = McpProcess::new(codex_home.path()).await?;
timeout(DEFAULT_TIMEOUT, mcp.initialize()).await??;
let request_id = mcp
.send_list_models_request(ModelListParams {
limit: None,
cursor: Some("invalid".to_string()),
})
.await?;
let error: JSONRPCError = timeout(
DEFAULT_TIMEOUT,
mcp.read_stream_until_error_message(RequestId::Integer(request_id)),
)
.await??;
assert_eq!(error.id, RequestId::Integer(request_id));
assert_eq!(error.error.code, INVALID_REQUEST_ERROR_CODE);
assert_eq!(error.error.message, "invalid cursor: invalid");
Ok(())
}