mirror of
https://github.com/openai/codex.git
synced 2026-04-29 00:55:38 +00:00
shell_command returns freeform output (#6860)
Instead of returning structured out and then re-formatting it into freeform, return the freeform output from shell_command tool. Keep `shell` as the default tool for GPT-5.
This commit is contained in:
pakrym-oai
@@ -102,19 +102,6 @@ async fn model_selects_expected_tools() {
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"codex-mini-latest should expose the local shell tool",
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);
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let o3_tools = collect_tool_identifiers_for_model("o3").await;
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assert_eq!(
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o3_tools,
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vec![
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"shell".to_string(),
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"list_mcp_resources".to_string(),
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"list_mcp_resource_templates".to_string(),
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"read_mcp_resource".to_string(),
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"update_plan".to_string()
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],
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"o3 should expose the generic shell tool",
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);
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let gpt5_codex_tools = collect_tool_identifiers_for_model("gpt-5-codex").await;
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assert_eq!(
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gpt5_codex_tools,
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@@ -143,6 +130,19 @@ async fn model_selects_expected_tools() {
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"gpt-5.1-codex should expose the apply_patch tool",
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);
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let gpt5_tools = collect_tool_identifiers_for_model("gpt-5").await;
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assert_eq!(
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gpt5_tools,
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vec![
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"shell".to_string(),
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"list_mcp_resources".to_string(),
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"list_mcp_resource_templates".to_string(),
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"read_mcp_resource".to_string(),
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"update_plan".to_string(),
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],
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"gpt-5 should expose the apply_patch tool",
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);
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let gpt51_tools = collect_tool_identifiers_for_model("gpt-5.1").await;
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assert_eq!(
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gpt51_tools,
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@@ -1,6 +1,5 @@
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#![allow(clippy::unwrap_used)]
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use codex_core::config::OPENAI_DEFAULT_MODEL;
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use codex_core::features::Feature;
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use codex_core::model_family::find_family_for_model;
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use codex_core::protocol::AskForApproval;
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@@ -19,7 +18,6 @@ use core_test_support::skip_if_no_network;
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use core_test_support::test_codex::TestCodex;
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use core_test_support::test_codex::test_codex;
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use core_test_support::wait_for_event;
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use std::collections::HashMap;
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use tempfile::TempDir;
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fn text_user_input(text: String) -> serde_json::Value {
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@@ -156,62 +154,15 @@ async fn prompt_tools_are_consistent_across_requests() -> anyhow::Result<()> {
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.await?;
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wait_for_event(&codex, |ev| matches!(ev, EventMsg::TaskComplete(_))).await;
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// our internal implementation is responsible for keeping tools in sync
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// with the OpenAI schema, so we just verify the tool presence here
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let tools_by_model: HashMap<&'static str, Vec<&'static str>> = HashMap::from([
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(
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"gpt-5.1",
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vec![
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"shell_command",
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"list_mcp_resources",
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"list_mcp_resource_templates",
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"read_mcp_resource",
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"update_plan",
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"apply_patch",
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"view_image",
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],
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),
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(
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"arcticfox",
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vec![
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"shell_command",
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"list_mcp_resources",
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"list_mcp_resource_templates",
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"read_mcp_resource",
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"update_plan",
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"apply_patch",
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"view_image",
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],
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),
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(
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"gpt-5.1-codex",
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vec![
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"shell_command",
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"list_mcp_resources",
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"list_mcp_resource_templates",
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"read_mcp_resource",
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"update_plan",
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"apply_patch",
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"view_image",
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],
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),
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(
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"gpt-5.1-codex",
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vec![
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"shell_command",
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"list_mcp_resources",
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"list_mcp_resource_templates",
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"read_mcp_resource",
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"update_plan",
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"apply_patch",
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"view_image",
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],
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),
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]);
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let expected_tools_names = tools_by_model
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.get(OPENAI_DEFAULT_MODEL)
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.unwrap_or_else(|| panic!("expected tools to be defined for model {OPENAI_DEFAULT_MODEL}"))
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.as_slice();
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let expected_tools_names = vec![
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"shell_command",
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"list_mcp_resources",
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"list_mcp_resource_templates",
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"read_mcp_resource",
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"update_plan",
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"apply_patch",
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"view_image",
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];
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let body0 = req1.single_request().body_json();
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let expected_instructions = if expected_tools_names.contains(&"apply_patch") {
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@@ -228,14 +179,14 @@ async fn prompt_tools_are_consistent_across_requests() -> anyhow::Result<()> {
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body0["instructions"],
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serde_json::json!(expected_instructions),
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);
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assert_tool_names(&body0, expected_tools_names);
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assert_tool_names(&body0, &expected_tools_names);
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let body1 = req2.single_request().body_json();
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assert_eq!(
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body1["instructions"],
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serde_json::json!(expected_instructions),
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);
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assert_tool_names(&body1, expected_tools_names);
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assert_tool_names(&body1, &expected_tools_names);
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Ok(())
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}
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@@ -101,7 +101,6 @@ fn shell_responses(
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#[tokio::test(flavor = "multi_thread", worker_threads = 2)]
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#[test_case(ShellModelOutput::Shell)]
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#[test_case(ShellModelOutput::ShellCommand)]
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#[test_case(ShellModelOutput::LocalShell)]
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async fn shell_output_stays_json_without_freeform_apply_patch(
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output_type: ShellModelOutput,
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@@ -213,7 +212,6 @@ freeform shell
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#[tokio::test(flavor = "multi_thread", worker_threads = 2)]
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#[test_case(ShellModelOutput::Shell)]
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#[test_case(ShellModelOutput::ShellCommand)]
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#[test_case(ShellModelOutput::LocalShell)]
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async fn shell_output_preserves_fixture_json_without_serialization(
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output_type: ShellModelOutput,
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@@ -760,7 +758,7 @@ Output:
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}
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#[tokio::test(flavor = "multi_thread", worker_threads = 2)]
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async fn shell_command_output_is_structured() -> Result<()> {
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async fn shell_command_output_is_freeform() -> Result<()> {
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skip_if_no_network!(Ok(()));
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let server = start_mock_server().await;
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@@ -812,6 +810,118 @@ shell command
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Ok(())
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}
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#[tokio::test(flavor = "multi_thread", worker_threads = 2)]
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async fn shell_command_output_is_not_truncated_under_10k_bytes() -> Result<()> {
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skip_if_no_network!(Ok(()));
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let server = start_mock_server().await;
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let mut builder = test_codex()
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.with_model("gpt-5.1")
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.with_config(move |config| {
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config.features.enable(Feature::ShellCommandTool);
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});
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let test = builder.build(&server).await?;
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let call_id = "shell-command";
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let args = json!({
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"command": "perl -e 'print \"1\" x 10000'",
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"timeout_ms": 1000,
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});
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let responses = vec![
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sse(vec![
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json!({"type": "response.created", "response": {"id": "resp-1"}}),
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ev_function_call(call_id, "shell_command", &serde_json::to_string(&args)?),
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ev_completed("resp-1"),
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]),
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sse(vec![
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ev_assistant_message("msg-1", "shell_command done"),
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ev_completed("resp-2"),
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]),
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];
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let mock = mount_sse_sequence(&server, responses).await;
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test.submit_turn_with_policy(
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"run the shell_command script in the user's shell",
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SandboxPolicy::DangerFullAccess,
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)
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.await?;
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let req = mock
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.last_request()
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.expect("shell_command output request recorded");
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let output_item = req.function_call_output(call_id);
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let output = output_item
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.get("output")
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.and_then(Value::as_str)
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.expect("shell_command output string");
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let expected_pattern = r"(?s)^Exit code: 0
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Wall time: [0-9]+(?:\.[0-9]+)? seconds
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Output:
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1{5000}$"; // TODO: this is very wrong!!!
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assert_regex_match(expected_pattern, output);
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Ok(())
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}
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#[tokio::test(flavor = "multi_thread", worker_threads = 2)]
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async fn shell_command_output_is_not_truncated_over_10k_bytes() -> Result<()> {
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skip_if_no_network!(Ok(()));
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let server = start_mock_server().await;
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let mut builder = test_codex()
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.with_model("gpt-5.1")
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.with_config(move |config| {
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config.features.enable(Feature::ShellCommandTool);
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});
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let test = builder.build(&server).await?;
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let call_id = "shell-command";
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let args = json!({
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"command": "perl -e 'print \"1\" x 10001'",
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"timeout_ms": 1000,
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});
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let responses = vec![
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sse(vec![
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json!({"type": "response.created", "response": {"id": "resp-1"}}),
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ev_function_call(call_id, "shell_command", &serde_json::to_string(&args)?),
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ev_completed("resp-1"),
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]),
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sse(vec![
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ev_assistant_message("msg-1", "shell_command done"),
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ev_completed("resp-2"),
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]),
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];
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let mock = mount_sse_sequence(&server, responses).await;
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test.submit_turn_with_policy(
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"run the shell_command script in the user's shell",
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SandboxPolicy::DangerFullAccess,
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)
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.await?;
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let req = mock
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.last_request()
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.expect("shell_command output request recorded");
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let output_item = req.function_call_output(call_id);
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let output = output_item
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.get("output")
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.and_then(Value::as_str)
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.expect("shell_command output string");
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let expected_pattern = r"(?s)^Exit code: 0
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Wall time: [0-9]+(?:\.[0-9]+)? seconds
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Total output lines: 1
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Output:
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1*
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\[... removed 1 bytes to fit 10000 byte limit ...\]
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$";
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assert_regex_match(expected_pattern, output);
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Ok(())
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}
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#[tokio::test(flavor = "multi_thread", worker_threads = 2)]
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async fn local_shell_call_output_is_structured() -> Result<()> {
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skip_if_no_network!(Ok(()));
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