e2e testing

This commit is contained in:
2026-08-10 07:22:56 -05:00
parent fa43f723a5
commit 88ad290c7e
29 changed files with 1695 additions and 99 deletions
@@ -106,6 +106,27 @@ use crate::util::image::{
use crate::util::openable_file_type::is_binary_file;
use crate::BlocklistAIHistoryModel;
const CHILD_AGENT_DELEGATION_DENIAL_REASON: &str =
"Child agents are leaf workers and cannot launch additional agents. Complete the assigned task directly or report the blocker to the lead agent.";
const CHILD_AGENT_LEAF_INSTRUCTIONS: &str = r#"You are a leaf worker launched by a lead agent.
- Complete the assigned task directly and stay within its stated scope.
- Do not launch, delegate to, or create additional agents.
- Report blockers and completion to the lead through the available coordination channel."#;
pub(super) fn child_agent_delegation_denial_reason(
conversation_id: AIConversationId,
ctx: &AppContext,
) -> Option<String> {
BlocklistAIHistoryModel::as_ref(ctx)
.conversation(&conversation_id)
.is_some_and(|conversation| conversation.is_child_agent_conversation())
.then(|| CHILD_AGENT_DELEGATION_DENIAL_REASON.to_string())
}
pub(super) fn compose_leaf_agent_prompt(task_prompt: &str) -> String {
format!("{CHILD_AGENT_LEAF_INSTRUCTIONS}\n\nAssigned task:\n{task_prompt}")
}
/// Types of actions that can be executed in parallel.
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub(super) enum ParallelExecutionPolicy {
@@ -2,7 +2,7 @@
//!
//! Fans out per-child via [`super::start_agent::StartAgentExecutor::dispatch`]
//! and aggregates the outcomes into a single `RunAgentsResult`.
use std::collections::HashMap;
use std::collections::{HashMap, HashSet};
use std::time::Duration;
use ai::agent::action::{RunAgentsAgentRunConfig, RunAgentsExecutionMode, RunAgentsRequest};
@@ -20,7 +20,10 @@ use warp_cli::agent::Harness;
use warpui::{Entity, EntityId, ModelContext, ModelHandle, SingletonEntity};
use super::start_agent::{StartAgentExecutor, StartAgentOutcome};
use super::{ActionExecution, AnyActionExecution, ExecuteActionInput, PreprocessActionInput};
use super::{
child_agent_delegation_denial_reason, ActionExecution, AnyActionExecution, ExecuteActionInput,
PreprocessActionInput,
};
use crate::ai::agent::conversation::AIConversationId;
use crate::ai::agent::{
AIAgentAction, AIAgentActionId, AIAgentActionResultType, AIAgentActionType, AIAgentInput,
@@ -413,6 +416,9 @@ impl RunAgentsExecutor {
let AIAgentActionType::RunAgents(request) = &input.action.action else {
return false;
};
if child_agent_delegation_denial_reason(input.conversation_id, ctx).is_some() {
return true;
}
if AppExecutionMode::as_ref(ctx).is_autonomous() {
return true;
}
@@ -476,9 +482,9 @@ fn resolve_request_from_approved_config(
/// Normalizes the request and returns a denial reason when launch is blocked.
///
/// Autonomous agents always run: their calls may still inherit approved plan
/// config fields and default auth secrets, but they bypass interactive policy
/// denials because they cannot present a confirmation card.
/// Root autonomous agents bypass interactive policy denials because they cannot
/// present a confirmation card. Child-agent delegation is rejected before that
/// bypass, while allowed root calls still inherit approved config and auth fields.
fn prepare_request_for_execution(
request: &mut RunAgentsRequest,
parent_conversation_id: AIConversationId,
@@ -486,6 +492,10 @@ fn prepare_request_for_execution(
launched_agents: &HashMap<AIConversationId, HashMap<String, ExistingLaunchedAgent>>,
ctx: &ModelContext<RunAgentsExecutor>,
) -> Option<String> {
if let Some(reason) = child_agent_delegation_denial_reason(parent_conversation_id, ctx) {
return Some(reason);
}
let status = resolve_request_from_approved_config(request, parent_conversation_id, ctx);
populate_default_auth_secret_for_execution(request, ctx);
if let Some(reason) =
@@ -544,8 +554,11 @@ fn duplicate_launched_agents_reason(
let duplicates = requested_agents
.iter()
.map(|(normalized_name, _)| existing_agents.get(normalized_name))
.collect::<Option<Vec<_>>>()?;
.filter_map(|(normalized_name, _)| existing_agents.get(normalized_name))
.collect::<Vec<_>>();
if duplicates.is_empty() {
return None;
}
let duplicate_list = duplicates
.iter()
.map(|agent| format!("{} ({})", agent.name, agent.agent_id))
@@ -696,6 +709,20 @@ fn validate_request(request: &RunAgentsRequest) -> Result<(), String> {
if request.agent_run_configs.is_empty() {
return Err("orchestrate: empty agent_run_configs".to_string());
}
let mut normalized_names = HashSet::new();
for config in &request.agent_run_configs {
let Some(normalized_name) = normalize_agent_name(&config.name) else {
return Err("orchestrate: agent names must not be empty".to_string());
};
if !normalized_names.insert(normalized_name) {
return Err(format!(
"orchestrate: duplicate agent name '{}' in the same batch",
config.name.trim()
));
}
}
if matches!(request.execution_mode, RunAgentsExecutionMode::Local) {
if let Some(harness) = Harness::parse_local_child_harness(&request.harness_type) {
if let Some(message) = local_harness_product_disabled_message(harness) {
@@ -91,6 +91,15 @@ fn persist_plan_config_with_harness(
});
}
fn mark_conversation_as_child(app: &mut App, conversation_id: AIConversationId) {
BlocklistAIHistoryModel::handle(app).update(app, |history, _ctx| {
history
.conversation_mut(&conversation_id)
.expect("conversation should exist")
.set_parent_agent_id("parent-agent".to_string());
});
}
#[test]
fn should_autoexecute_duplicate_launched_agent_denial() {
App::test((), |mut app| async move {
@@ -162,6 +171,159 @@ fn execute_denies_duplicate_launched_agent() {
});
}
#[test]
fn execute_denies_run_agents_from_child_conversation() {
App::test((), |mut app| async move {
let state = initialize_run_agents_test(&mut app, ExecutionMode::App);
mark_conversation_as_child(&mut app, state.conversation_id);
let action = remote_run_agents_action("oz");
let should_autoexecute = state.executor.update(&mut app, |executor, ctx| {
executor.should_autoexecute(
ExecuteActionInput {
action: &action,
conversation_id: state.conversation_id,
},
ctx,
)
});
assert!(
should_autoexecute,
"the denial should not require user approval"
);
let execution = state.executor.update(&mut app, |executor, ctx| {
executor
.execute(
ExecuteActionInput {
action: &action,
conversation_id: state.conversation_id,
},
ctx,
)
.into()
});
assert!(matches!(
execution,
AnyActionExecution::Sync(AIAgentActionResultType::RunAgents(
RunAgentsResult::Denied { reason }
)) if reason.contains("leaf workers")
));
});
}
#[test]
fn autonomous_mode_still_denies_run_agents_from_child_conversation() {
App::test((), |mut app| async move {
let state = initialize_run_agents_test(&mut app, ExecutionMode::Sdk);
mark_conversation_as_child(&mut app, state.conversation_id);
let action = remote_run_agents_action("oz");
let execution = state.executor.update(&mut app, |executor, ctx| {
executor
.execute(
ExecuteActionInput {
action: &action,
conversation_id: state.conversation_id,
},
ctx,
)
.into()
});
assert!(matches!(
execution,
AnyActionExecution::Sync(AIAgentActionResultType::RunAgents(
RunAgentsResult::Denied { reason }
)) if reason.contains("leaf workers")
));
});
}
#[test]
fn execute_denies_mixed_batch_containing_launched_agent() {
App::test((), |mut app| async move {
let state = initialize_run_agents_test(&mut app, ExecutionMode::App);
state.executor.update(&mut app, |executor, _ctx| {
executor.record_launched_agents(
state.conversation_id,
&[RunAgentsAgentOutcome {
name: "child".to_string(),
kind: RunAgentsAgentOutcomeKind::Launched {
agent_id: "agent-123".to_string(),
},
}],
);
});
let mut action = remote_run_agents_action("oz");
let AIAgentActionType::RunAgents(request) = &mut action.action else {
panic!("expected run_agents action");
};
request.agent_run_configs.push(RunAgentsAgentRunConfig {
name: "new-child".to_string(),
prompt: "Do separate work".to_string(),
title: String::new(),
});
let execution = state.executor.update(&mut app, |executor, ctx| {
executor
.execute(
ExecuteActionInput {
action: &action,
conversation_id: state.conversation_id,
},
ctx,
)
.into()
});
assert!(matches!(
execution,
AnyActionExecution::Sync(AIAgentActionResultType::RunAgents(
RunAgentsResult::Denied { reason }
)) if reason.contains("child (agent-123)")
));
});
}
#[test]
fn validate_request_rejects_blank_and_duplicate_agent_names() {
let AIAgentActionType::RunAgents(mut request) = remote_run_agents_action("oz").action else {
panic!("expected run_agents action");
};
request.agent_run_configs[0].name = " ".to_string();
assert_eq!(
validate_request(&request),
Err("orchestrate: agent names must not be empty".to_string())
);
request.agent_run_configs[0].name = "Child".to_string();
request.agent_run_configs.push(RunAgentsAgentRunConfig {
name: " child ".to_string(),
prompt: "Do separate work".to_string(),
title: String::new(),
});
assert_eq!(
validate_request(&request),
Err("orchestrate: duplicate agent name 'child' in the same batch".to_string())
);
}
#[test]
fn validate_request_allows_unique_sibling_names() {
let AIAgentActionType::RunAgents(mut request) = remote_run_agents_action("oz").action else {
panic!("expected run_agents action");
};
request.agent_run_configs.push(RunAgentsAgentRunConfig {
name: "second-child".to_string(),
prompt: "Do separate work".to_string(),
title: String::new(),
});
assert_eq!(validate_request(&request), Ok(()));
}
fn initialize_run_agents_test(app: &mut App, mode: ExecutionMode) -> RunAgentsTestState {
initialize_settings_for_tests_with_mode(app, mode, false);
let global_resource_handles = GlobalResourceHandles::mock(app);
@@ -6,7 +6,10 @@ use galaxy_cli::agent::Harness;
use galaxyui::{Entity, ModelContext, ModelHandle, SingletonEntity};
use shell_words::split as split_shell_words;
use super::{ActionExecution, AnyActionExecution, ExecuteActionInput, PreprocessActionInput};
use super::{
child_agent_delegation_denial_reason, compose_leaf_agent_prompt, ActionExecution,
AnyActionExecution, ExecuteActionInput, PreprocessActionInput,
};
use crate::ai::agent::conversation::{AIConversation, AIConversationId, ConversationStatus};
use crate::ai::agent::{
AIAgentAction, AIAgentActionId, AIAgentActionResultType, AIAgentActionType, LifecycleEventType,
@@ -400,12 +403,19 @@ impl StartAgentExecutor {
return ActionExecution::InvalidAction;
};
let prompt = prompt.clone();
let version = *version;
let action_id = input.action.id.clone();
let parent_conversation_id = input.conversation_id;
if let Some(error) = child_agent_delegation_denial_reason(parent_conversation_id, ctx) {
return ActionExecution::Sync(AIAgentActionResultType::StartAgent(
StartAgentResult::Error { error, version },
));
}
let prompt = prompt.clone();
let action_id = input.action.id.clone();
let (prompt, execution_mode) =
normalize_legacy_local_child_harness_command(prompt, execution_mode.clone());
let prompt = compose_leaf_agent_prompt(&prompt);
let (execution_mode, parent_run_id) = match execution_mode {
StartAgentExecutionMode::Local {
harness_type: None,
@@ -597,9 +607,15 @@ impl StartAgentExecutor {
parent_run_id: Option<String>,
ctx: &mut ModelContext<Self>,
) -> async_channel::Receiver<StartAgentOutcome> {
let (sender, receiver) = async_channel::bounded(1);
if let Some(error) = child_agent_delegation_denial_reason(parent_conversation_id, ctx) {
let _ = sender.try_send(StartAgentOutcome::Error(error));
return receiver;
}
let (prompt, execution_mode) =
normalize_legacy_local_child_harness_command(prompt, execution_mode);
let (sender, receiver) = async_channel::bounded(1);
let prompt = compose_leaf_agent_prompt(&prompt);
let request_id = self.next_request_id();
self.pending.insert(
request_id,
@@ -28,6 +28,28 @@ impl Entity for CapturedDirectProviderChildLinks {
type Event = ();
}
#[derive(Default)]
struct CapturedStartAgentPrompts(Vec<String>);
impl Entity for CapturedStartAgentPrompts {
type Event = ();
}
fn capture_start_agent_prompts(
app: &mut App,
executor: &ModelHandle<StartAgentExecutor>,
) -> ModelHandle<CapturedStartAgentPrompts> {
let captured = app.add_model(|_| CapturedStartAgentPrompts::default());
captured.update(app, |_, ctx| {
ctx.subscribe_to_model(executor, |captured, _, event, _ctx| {
if let StartAgentExecutorEvent::CreateAgent(request) = event {
captured.0.push(request.prompt.clone());
}
});
});
captured
}
fn capture_direct_provider_child_links(
app: &mut App,
executor: &ModelHandle<StartAgentExecutor>,
@@ -79,6 +101,126 @@ fn build_start_agent_action_with_prompt(
}
}
#[test]
fn execute_wraps_child_prompt_with_leaf_worker_contract() {
App::test((), |mut app| async move {
let terminal_view_id = EntityId::new();
let history_model = app.add_singleton_model(|_| BlocklistAIHistoryModel::new_for_test());
let executor = app.add_model(StartAgentExecutor::new);
let captured = capture_start_agent_prompts(&mut app, &executor);
let root_conversation_id = history_model.update(&mut app, |history, ctx| {
history.start_new_conversation(terminal_view_id, false, false, false, ctx)
});
let action = build_start_agent_action(
StartAgentVersion::V1,
StartAgentExecutionMode::local_with_defaults(),
);
let execution = executor.update(&mut app, |executor, ctx| {
executor
.execute(
ExecuteActionInput {
action: &action,
conversation_id: root_conversation_id,
},
ctx,
)
.into()
});
assert!(matches!(execution, AnyActionExecution::Async { .. }));
captured.read(&app, |captured, _ctx| {
assert_eq!(captured.0.len(), 1);
assert!(captured.0[0].contains("You are a leaf worker"));
assert!(
captured.0[0].contains("Do not launch, delegate to, or create additional agents")
);
assert!(captured.0[0].ends_with("Assigned task:\nInvestigate the failure"));
});
});
}
#[test]
fn execute_denies_start_agent_from_child_conversation() {
App::test((), |mut app| async move {
let terminal_view_id = EntityId::new();
let history_model = app.add_singleton_model(|_| BlocklistAIHistoryModel::new_for_test());
let executor = app.add_model(StartAgentExecutor::new);
let child_conversation_id = history_model.update(&mut app, |history, ctx| {
let conversation_id =
history.start_new_conversation(terminal_view_id, false, false, false, ctx);
history
.conversation_mut(&conversation_id)
.expect("conversation should exist")
.set_parent_agent_id("parent-agent".to_string());
conversation_id
});
let action = build_start_agent_action(
StartAgentVersion::V1,
StartAgentExecutionMode::local_with_defaults(),
);
let execution = executor.update(&mut app, |executor, ctx| {
executor
.execute(
ExecuteActionInput {
action: &action,
conversation_id: child_conversation_id,
},
ctx,
)
.into()
});
assert!(matches!(
execution,
AnyActionExecution::Sync(AIAgentActionResultType::StartAgent(
StartAgentResult::Error { error, .. }
)) if error.contains("leaf workers")
));
executor.read(&app, |executor, _ctx| {
assert!(executor.pending.is_empty());
});
});
}
#[test]
fn dispatch_denies_child_conversation_defense_in_depth() {
App::test((), |mut app| async move {
let terminal_view_id = EntityId::new();
let history_model = app.add_singleton_model(|_| BlocklistAIHistoryModel::new_for_test());
let executor = app.add_model(StartAgentExecutor::new);
let child_conversation_id = history_model.update(&mut app, |history, ctx| {
let conversation_id =
history.start_new_conversation(terminal_view_id, false, false, false, ctx);
history
.conversation_mut(&conversation_id)
.expect("conversation should exist")
.set_parent_agent_id("parent-agent".to_string());
conversation_id
});
let receiver = executor.update(&mut app, |executor, ctx| {
executor.dispatch(
"grandchild".to_string(),
"Do more work".to_string(),
StartAgentExecutionMode::local_with_defaults(),
None,
child_conversation_id,
None,
ctx,
)
});
assert!(matches!(
receiver.try_recv(),
Ok(StartAgentOutcome::Error(error)) if error.contains("leaf workers")
));
executor.read(&app, |executor, _ctx| {
assert!(executor.pending.is_empty());
});
});
}
#[test]
fn legacy_local_codex_command_prompt_normalizes_to_local_harness() {
let (prompt, execution_mode) = normalize_legacy_local_child_harness_command(
+7
View File
@@ -3044,6 +3044,13 @@ impl BlocklistAIController {
});
request_params.parent_agent_id = parent_agent_id;
request_params.agent_name = agent_name;
if history_model
.as_ref(ctx)
.conversation(&conversation_id)
.is_some_and(|conversation| conversation.is_child_agent_conversation())
{
request_params.orchestration_enabled = false;
}
request_params.message_history = bedrock_history;
request_params.tool_result_archive = bedrock_tool_result_archive;
request_params.progressive_summary = bedrock_progressive_summary;