Merge branch 'main' into capture-shell-partial-output

This commit is contained in:
Ahmed Ibrahim
2026-01-19 23:49:40 -08:00
committed by GitHub
97 changed files with 6618 additions and 818 deletions
+16 -4
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@@ -90,6 +90,7 @@ Example (from OpenAI's official VSCode extension):
- `skills/list` — list skills for one or more `cwd` values (optional `forceReload`).
- `skills/config/write` — write user-level skill config by path.
- `mcpServer/oauth/login` — start an OAuth login for a configured MCP server; returns an `authorization_url` and later emits `mcpServer/oauthLogin/completed` once the browser flow finishes.
- `tool/requestUserInput` — prompt the user with 1–3 short questions for a tool call and return their answers (experimental).
- `config/mcpServer/reload` — reload MCP server config from disk and queue a refresh for loaded threads (applied on each thread's next active turn); returns `{}`. Use this after editing `config.toml` without restarting the server.
- `mcpServerStatus/list` — enumerate configured MCP servers with their tools, resources, resource templates, and auth status; supports cursor+limit pagination.
- `feedback/upload` — submit a feedback report (classification + optional reason/logs and conversation_id); returns the tracking thread id.
@@ -470,8 +471,15 @@ Invoke a skill by including `$<skill-name>` in the text input. Add a `skill` inp
"params": {
"threadId": "thread-1",
"input": [
{ "type": "text", "text": "$skill-creator Add a new skill for triaging flaky CI." },
{ "type": "skill", "name": "skill-creator", "path": "/Users/me/.codex/skills/skill-creator/SKILL.md" }
{
"type": "text",
"text": "$skill-creator Add a new skill for triaging flaky CI."
},
{
"type": "skill",
"name": "skill-creator",
"path": "/Users/me/.codex/skills/skill-creator/SKILL.md"
}
]
}
}
@@ -506,10 +514,14 @@ Use `skills/list` to fetch the available skills (optionally scoped by `cwds`, wi
To enable or disable a skill by path:
```json
{ "method": "skills/config/write", "id": 26, "params": {
{
"method": "skills/config/write",
"id": 26,
"params": {
"path": "/Users/me/.codex/skills/skill-creator/SKILL.md",
"enabled": false
} }
}
}
```
## Auth endpoints
@@ -54,6 +54,10 @@ use codex_app_server_protocol::ThreadItem;
use codex_app_server_protocol::ThreadRollbackResponse;
use codex_app_server_protocol::ThreadTokenUsage;
use codex_app_server_protocol::ThreadTokenUsageUpdatedNotification;
use codex_app_server_protocol::ToolRequestUserInputOption;
use codex_app_server_protocol::ToolRequestUserInputParams;
use codex_app_server_protocol::ToolRequestUserInputQuestion;
use codex_app_server_protocol::ToolRequestUserInputResponse;
use codex_app_server_protocol::Turn;
use codex_app_server_protocol::TurnCompletedNotification;
use codex_app_server_protocol::TurnDiffUpdatedNotification;
@@ -83,6 +87,8 @@ use codex_core::review_prompts;
use codex_protocol::ThreadId;
use codex_protocol::plan_tool::UpdatePlanArgs;
use codex_protocol::protocol::ReviewOutputEvent;
use codex_protocol::request_user_input::RequestUserInputAnswer as CoreRequestUserInputAnswer;
use codex_protocol::request_user_input::RequestUserInputResponse as CoreRequestUserInputResponse;
use std::collections::HashMap;
use std::convert::TryFrom;
use std::path::PathBuf;
@@ -258,6 +264,57 @@ pub(crate) async fn apply_bespoke_event_handling(
});
}
},
EventMsg::RequestUserInput(request) => {
if matches!(api_version, ApiVersion::V2) {
let questions = request
.questions
.into_iter()
.map(|question| ToolRequestUserInputQuestion {
id: question.id,
header: question.header,
question: question.question,
options: question.options.map(|options| {
options
.into_iter()
.map(|option| ToolRequestUserInputOption {
label: option.label,
description: option.description,
})
.collect()
}),
})
.collect();
let params = ToolRequestUserInputParams {
thread_id: conversation_id.to_string(),
turn_id: request.turn_id,
item_id: request.call_id,
questions,
};
let rx = outgoing
.send_request(ServerRequestPayload::ToolRequestUserInput(params))
.await;
tokio::spawn(async move {
on_request_user_input_response(event_turn_id, rx, conversation).await;
});
} else {
error!(
"request_user_input is only supported on api v2 (call_id: {})",
request.call_id
);
let empty = CoreRequestUserInputResponse {
answers: HashMap::new(),
};
if let Err(err) = conversation
.submit(Op::UserInputAnswer {
id: event_turn_id,
response: empty,
})
.await
{
error!("failed to submit UserInputAnswer: {err}");
}
}
}
// TODO(celia): properly construct McpToolCall TurnItem in core.
EventMsg::McpToolCallBegin(begin_event) => {
let notification = construct_mcp_tool_call_notification(
@@ -1347,6 +1404,66 @@ async fn on_exec_approval_response(
}
}
async fn on_request_user_input_response(
event_turn_id: String,
receiver: oneshot::Receiver<JsonValue>,
conversation: Arc<CodexThread>,
) {
let response = receiver.await;
let value = match response {
Ok(value) => value,
Err(err) => {
error!("request failed: {err:?}");
let empty = CoreRequestUserInputResponse {
answers: HashMap::new(),
};
if let Err(err) = conversation
.submit(Op::UserInputAnswer {
id: event_turn_id,
response: empty,
})
.await
{
error!("failed to submit UserInputAnswer: {err}");
}
return;
}
};
let response =
serde_json::from_value::<ToolRequestUserInputResponse>(value).unwrap_or_else(|err| {
error!("failed to deserialize ToolRequestUserInputResponse: {err}");
ToolRequestUserInputResponse {
answers: HashMap::new(),
}
});
let response = CoreRequestUserInputResponse {
answers: response
.answers
.into_iter()
.map(|(id, answer)| {
(
id,
CoreRequestUserInputAnswer {
selected: answer.selected,
other: answer.other,
},
)
})
.collect(),
};
if let Err(err) = conversation
.submit(Op::UserInputAnswer {
id: event_turn_id,
response,
})
.await
{
error!("failed to submit UserInputAnswer: {err}");
}
}
const REVIEW_FALLBACK_MESSAGE: &str = "Reviewer failed to output a response.";
fn render_review_output_text(output: &ReviewOutputEvent) -> String {
+1
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@@ -27,6 +27,7 @@ pub use models_cache::write_models_cache_with_models;
pub use responses::create_apply_patch_sse_response;
pub use responses::create_exec_command_sse_response;
pub use responses::create_final_assistant_message_sse_response;
pub use responses::create_request_user_input_sse_response;
pub use responses::create_shell_command_sse_response;
pub use rollout::create_fake_rollout;
pub use rollout::create_fake_rollout_with_text_elements;
@@ -60,3 +60,26 @@ pub fn create_exec_command_sse_response(call_id: &str) -> anyhow::Result<String>
responses::ev_completed("resp-1"),
]))
}
pub fn create_request_user_input_sse_response(call_id: &str) -> anyhow::Result<String> {
let tool_call_arguments = serde_json::to_string(&json!({
"questions": [{
"id": "confirm_path",
"header": "Confirm",
"question": "Proceed with the plan?",
"options": [{
"label": "Yes (Recommended)",
"description": "Continue the current plan."
}, {
"label": "No",
"description": "Stop and revisit the approach."
}]
}]
}))?;
Ok(responses::sse(vec![
responses::ev_response_created("resp-1"),
responses::ev_function_call(call_id, "request_user_input", &tool_call_arguments),
responses::ev_completed("resp-1"),
]))
}
@@ -59,6 +59,7 @@ pub fn create_fake_rollout(
cli_version: "0.0.0".to_string(),
source: SessionSource::Cli,
model_provider: model_provider.map(str::to_string),
base_instructions: None,
};
let payload = serde_json::to_value(SessionMetaLine {
meta,
@@ -136,6 +137,7 @@ pub fn create_fake_rollout_with_text_elements(
cli_version: "0.0.0".to_string(),
source: SessionSource::Cli,
model_provider: model_provider.map(str::to_string),
base_instructions: None,
};
let payload = serde_json::to_value(SessionMetaLine {
meta,
@@ -6,6 +6,7 @@ mod initialize;
mod model_list;
mod output_schema;
mod rate_limits;
mod request_user_input;
mod review;
mod thread_archive;
mod thread_fork;
@@ -0,0 +1,127 @@
use anyhow::Result;
use app_test_support::McpProcess;
use app_test_support::create_final_assistant_message_sse_response;
use app_test_support::create_mock_responses_server_sequence;
use app_test_support::create_request_user_input_sse_response;
use app_test_support::to_response;
use codex_app_server_protocol::JSONRPCResponse;
use codex_app_server_protocol::RequestId;
use codex_app_server_protocol::ServerRequest;
use codex_app_server_protocol::ThreadStartParams;
use codex_app_server_protocol::ThreadStartResponse;
use codex_app_server_protocol::TurnStartParams;
use codex_app_server_protocol::TurnStartResponse;
use codex_app_server_protocol::UserInput as V2UserInput;
use codex_protocol::openai_models::ReasoningEffort;
use tokio::time::timeout;
const DEFAULT_READ_TIMEOUT: std::time::Duration = std::time::Duration::from_secs(10);
#[tokio::test(flavor = "multi_thread", worker_threads = 4)]
async fn request_user_input_round_trip() -> Result<()> {
let codex_home = tempfile::TempDir::new()?;
let responses = vec![
create_request_user_input_sse_response("call1")?,
create_final_assistant_message_sse_response("done")?,
];
let server = create_mock_responses_server_sequence(responses).await;
create_config_toml(codex_home.path(), &server.uri())?;
let mut mcp = McpProcess::new(codex_home.path()).await?;
timeout(DEFAULT_READ_TIMEOUT, mcp.initialize()).await??;
let thread_start_id = mcp
.send_thread_start_request(ThreadStartParams {
model: Some("mock-model".to_string()),
..Default::default()
})
.await?;
let thread_start_resp: JSONRPCResponse = timeout(
DEFAULT_READ_TIMEOUT,
mcp.read_stream_until_response_message(RequestId::Integer(thread_start_id)),
)
.await??;
let ThreadStartResponse { thread, .. } = to_response(thread_start_resp)?;
let turn_start_id = mcp
.send_turn_start_request(TurnStartParams {
thread_id: thread.id.clone(),
input: vec![V2UserInput::Text {
text: "ask something".to_string(),
text_elements: Vec::new(),
}],
model: Some("mock-model".to_string()),
effort: Some(ReasoningEffort::Medium),
..Default::default()
})
.await?;
let turn_start_resp: JSONRPCResponse = timeout(
DEFAULT_READ_TIMEOUT,
mcp.read_stream_until_response_message(RequestId::Integer(turn_start_id)),
)
.await??;
let TurnStartResponse { turn, .. } = to_response(turn_start_resp)?;
let server_req = timeout(
DEFAULT_READ_TIMEOUT,
mcp.read_stream_until_request_message(),
)
.await??;
let ServerRequest::ToolRequestUserInput { request_id, params } = server_req else {
panic!("expected ToolRequestUserInput request, got: {server_req:?}");
};
assert_eq!(params.thread_id, thread.id);
assert_eq!(params.turn_id, turn.id);
assert_eq!(params.item_id, "call1");
assert_eq!(params.questions.len(), 1);
mcp.send_response(
request_id,
serde_json::json!({
"answers": {
"confirm_path": { "selected": ["yes"], "other": serde_json::Value::Null }
}
}),
)
.await?;
timeout(
DEFAULT_READ_TIMEOUT,
mcp.read_stream_until_notification_message("codex/event/task_complete"),
)
.await??;
timeout(
DEFAULT_READ_TIMEOUT,
mcp.read_stream_until_notification_message("turn/completed"),
)
.await??;
Ok(())
}
fn create_config_toml(codex_home: &std::path::Path, server_uri: &str) -> std::io::Result<()> {
let config_toml = codex_home.join("config.toml");
std::fs::write(
config_toml,
format!(
r#"
model = "mock-model"
approval_policy = "untrusted"
sandbox_mode = "read-only"
model_provider = "mock_provider"
[features]
collaboration_modes = true
[model_providers.mock_provider]
name = "Mock provider for test"
base_url = "{server_uri}/v1"
wire_api = "responses"
request_max_retries = 0
stream_max_retries = 0
"#
),
)
}
@@ -1471,8 +1471,18 @@ unified_exec = true
unreachable!("loop ensures we break on command execution items");
};
assert_eq!(completed_id, "uexec-1");
assert_eq!(completed_status, CommandExecutionStatus::Completed);
assert_eq!(exit_code, Some(0));
assert!(
matches!(
completed_status,
CommandExecutionStatus::Completed | CommandExecutionStatus::Failed
),
"unexpected command execution status: {completed_status:?}"
);
if completed_status == CommandExecutionStatus::Completed {
assert_eq!(exit_code, Some(0));
} else {
assert!(exit_code.is_some(), "expected exit_code for failed command");
}
assert_eq!(
completed_process_id.as_deref(),
Some(started_process_id.as_str())