These are technically app-server v2 APIs, so move them to the same directory as the others.
187 lines
6.3 KiB
Rust
187 lines
6.3 KiB
Rust
use std::time::Duration;
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use anyhow::Result;
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use anyhow::anyhow;
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use app_test_support::McpProcess;
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use app_test_support::to_response;
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use codex_app_server_protocol::JSONRPCError;
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use codex_app_server_protocol::JSONRPCResponse;
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use codex_app_server_protocol::Model;
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use codex_app_server_protocol::ModelListParams;
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use codex_app_server_protocol::ModelListResponse;
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use codex_app_server_protocol::ReasoningEffortOption;
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use codex_app_server_protocol::RequestId;
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use codex_protocol::config_types::ReasoningEffort;
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use pretty_assertions::assert_eq;
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use tempfile::TempDir;
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use tokio::time::timeout;
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const DEFAULT_TIMEOUT: Duration = Duration::from_secs(10);
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const INVALID_REQUEST_ERROR_CODE: i64 = -32600;
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#[tokio::test]
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async fn list_models_returns_all_models_with_large_limit() -> Result<()> {
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let codex_home = TempDir::new()?;
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let mut mcp = McpProcess::new(codex_home.path()).await?;
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timeout(DEFAULT_TIMEOUT, mcp.initialize()).await??;
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let request_id = mcp
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.send_list_models_request(ModelListParams {
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limit: Some(100),
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cursor: None,
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})
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.await?;
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let response: JSONRPCResponse = timeout(
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DEFAULT_TIMEOUT,
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mcp.read_stream_until_response_message(RequestId::Integer(request_id)),
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)
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.await??;
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let ModelListResponse {
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data: items,
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next_cursor,
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} = to_response::<ModelListResponse>(response)?;
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let expected_models = vec![
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Model {
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id: "gpt-5-codex".to_string(),
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model: "gpt-5-codex".to_string(),
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display_name: "gpt-5-codex".to_string(),
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description: "Optimized for codex.".to_string(),
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supported_reasoning_efforts: vec![
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ReasoningEffortOption {
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reasoning_effort: ReasoningEffort::Low,
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description: "Fastest responses with limited reasoning".to_string(),
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},
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ReasoningEffortOption {
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reasoning_effort: ReasoningEffort::Medium,
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description: "Dynamically adjusts reasoning based on the task".to_string(),
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},
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ReasoningEffortOption {
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reasoning_effort: ReasoningEffort::High,
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description: "Maximizes reasoning depth for complex or ambiguous problems"
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.to_string(),
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},
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],
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default_reasoning_effort: ReasoningEffort::Medium,
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is_default: true,
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},
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Model {
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id: "gpt-5".to_string(),
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model: "gpt-5".to_string(),
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display_name: "gpt-5".to_string(),
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description: "Broad world knowledge with strong general reasoning.".to_string(),
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supported_reasoning_efforts: vec![
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ReasoningEffortOption {
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reasoning_effort: ReasoningEffort::Minimal,
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description: "Fastest responses with little reasoning".to_string(),
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},
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ReasoningEffortOption {
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reasoning_effort: ReasoningEffort::Low,
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description: "Balances speed with some reasoning; useful for straightforward \
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queries and short explanations"
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.to_string(),
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},
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ReasoningEffortOption {
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reasoning_effort: ReasoningEffort::Medium,
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description: "Provides a solid balance of reasoning depth and latency for \
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general-purpose tasks"
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.to_string(),
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},
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ReasoningEffortOption {
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reasoning_effort: ReasoningEffort::High,
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description: "Maximizes reasoning depth for complex or ambiguous problems"
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.to_string(),
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},
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],
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default_reasoning_effort: ReasoningEffort::Medium,
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is_default: false,
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},
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];
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assert_eq!(items, expected_models);
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assert!(next_cursor.is_none());
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Ok(())
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}
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#[tokio::test]
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async fn list_models_pagination_works() -> Result<()> {
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let codex_home = TempDir::new()?;
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let mut mcp = McpProcess::new(codex_home.path()).await?;
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timeout(DEFAULT_TIMEOUT, mcp.initialize()).await??;
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let first_request = mcp
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.send_list_models_request(ModelListParams {
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limit: Some(1),
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cursor: None,
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})
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.await?;
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let first_response: JSONRPCResponse = timeout(
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DEFAULT_TIMEOUT,
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mcp.read_stream_until_response_message(RequestId::Integer(first_request)),
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)
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.await??;
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let ModelListResponse {
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data: first_items,
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next_cursor: first_cursor,
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} = to_response::<ModelListResponse>(first_response)?;
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assert_eq!(first_items.len(), 1);
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assert_eq!(first_items[0].id, "gpt-5-codex");
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let next_cursor = first_cursor.ok_or_else(|| anyhow!("cursor for second page"))?;
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let second_request = mcp
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.send_list_models_request(ModelListParams {
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limit: Some(1),
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cursor: Some(next_cursor.clone()),
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})
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.await?;
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let second_response: JSONRPCResponse = timeout(
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DEFAULT_TIMEOUT,
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mcp.read_stream_until_response_message(RequestId::Integer(second_request)),
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)
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.await??;
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let ModelListResponse {
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data: second_items,
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next_cursor: second_cursor,
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} = to_response::<ModelListResponse>(second_response)?;
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assert_eq!(second_items.len(), 1);
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assert_eq!(second_items[0].id, "gpt-5");
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assert!(second_cursor.is_none());
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Ok(())
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}
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#[tokio::test]
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async fn list_models_rejects_invalid_cursor() -> Result<()> {
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let codex_home = TempDir::new()?;
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let mut mcp = McpProcess::new(codex_home.path()).await?;
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timeout(DEFAULT_TIMEOUT, mcp.initialize()).await??;
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let request_id = mcp
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.send_list_models_request(ModelListParams {
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limit: None,
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cursor: Some("invalid".to_string()),
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})
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.await?;
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let error: JSONRPCError = timeout(
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DEFAULT_TIMEOUT,
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mcp.read_stream_until_error_message(RequestId::Integer(request_id)),
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)
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.await??;
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assert_eq!(error.id, RequestId::Integer(request_id));
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assert_eq!(error.error.code, INVALID_REQUEST_ERROR_CODE);
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assert_eq!(error.error.message, "invalid cursor: invalid");
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Ok(())
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}
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