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galaxy/app/src/ai/agent/api/convert_conversation.rs
T
Ryan WardandClaude Opus 4.6 59cfd0e2f5 Bump version to 1.6.3 
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-06-12 14:17:06 -05:00

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//! Conversions from MAA API types to application types, for loading and restoring conversations.
//! Contains logic necessary for converting proto tasks to application exchanges and conversations.
//! Whenever adding new MAA types, conversions here must be updated for restoration and loading to work.
//! If some UI state is stored in the client, it needs to also be represented in the proto tasks somehow so it can be restored.
//! Some conversions may be lossy if it's not important to recover that UI state.
use crate::ai::agent::api::convert_from::{
convert_user_query_mode, ConversionParams, ConvertAPIMessageToClientOutputMessage,
MaybeAIAgentOutputMessage,
};
use crate::ai::agent::conversation::update_todo_list_from_todo_op;
use crate::ai::agent::conversation::{AIConversation, AIConversationId};
use crate::ai::agent::task::TaskId;
use crate::ai::agent::todos::AIAgentTodoList;
use crate::ai::agent::{
AIAgentActionResult, AIAgentActionResultType, AIAgentContext, AIAgentExchange,
AIAgentExchangeId, AIAgentInput, AIAgentOutput, AIAgentOutputMessage, AIAgentOutputStatus,
CallMCPToolResult, CancellationReason, CloneRepositoryURL, CreateDocumentsResult,
DocumentContext, EditDocumentsResult, FileContext, FileGlobResult, FileGlobV2Match,
FileGlobV2Result, FinishedAIAgentOutput, GrepFileMatch, GrepLineMatch, GrepResult,
ImageContext, InsertReviewCommentsResult, OutputModelInfo, PassiveCodeDiffEntry,
PassiveSuggestionResultType, PassiveSuggestionTrigger, ReadDocumentsResult, ReadFilesResult,
ReadMCPResourceResult, ReadShellCommandOutputResult, RequestCommandOutputResult,
RequestFileEditsResult, SearchCodebaseFailureReason, SearchCodebaseResult, ServerOutputId,
Shared, ShellCommandCompletedTrigger, ShellCommandError, SuggestNewConversationResult,
SuggestPromptResult, TransferShellCommandControlToUserResult, UpdatedFileContext,
UploadArtifactResult, WriteToLongRunningShellCommandResult,
};
use crate::ai::block_context::BlockContext;
use crate::ai::document::ai_document_model::{AIDocumentId, AIDocumentVersion};
use crate::ai::llms::LLMId;
use crate::ai_assistant::execution_context::{WarpAiExecutionContext, WarpAiOsContext};
use crate::terminal::model::block::BlockId;
use crate::terminal::model::terminal_model::BlockIndex;
use ai::agent::action_result::{
AskUserQuestionAnswerItem, AskUserQuestionResult, FetchConversationResult, ReadSkillResult,
RequestComputerUseResult, SendMessageToAgentResult, StartAgentResult, StartAgentVersion,
UseComputerResult,
};
use ai::skills::ParsedSkill;
use chrono::{DateTime, Local, TimeZone};
use galaxy_core::command::ExitCode;
use persistence::model::AgentConversationData;
use std::collections::{HashMap, HashSet};
use std::sync::Arc;
use warp_multi_agent_api as api;
use warp_multi_agent_api::ask_user_question_result::answer_item::Answer as AskUserQuestionAnswer;
use crate::ai::agent::conversation::ServerAIConversationMetadata;
use crate::ai::agent::UserQueryMode;
/// How to restore a conversation from the cloud.
pub enum RestorationMode {
/// Continue the same conversation (use the same server ID).
Continue,
/// Fork from the original conversation.
#[allow(dead_code)]
Fork,
}
/// Converts a cloud ConversationData to an AIConversation.
/// The `metadata` contains all server-side information about the conversation, including usage data.
/// `restoration_mode` controls how the server metadata is handled - we should only keep the metadata when continuing, not forking
pub fn convert_conversation_data_to_ai_conversation(
conversation_id: AIConversationId,
conversation_data: &api::ConversationData,
metadata: ServerAIConversationMetadata,
restoration_mode: RestorationMode,
) -> Option<AIConversation> {
let usage_metadata = Some(metadata.usage.clone());
let agent_conversation_data = match restoration_mode {
RestorationMode::Fork => AgentConversationData {
server_conversation_token: None,
conversation_usage_metadata: usage_metadata,
reverted_action_ids: None,
forked_from_server_conversation_token: Some(
metadata.server_conversation_token.as_str().to_string(),
),
// If we fork, new conversation, artifacts don't carry over
artifacts_json: None,
parent_agent_id: None,
agent_name: None,
parent_conversation_id: None,
run_id: None,
autoexecute_override: None,
last_event_sequence: None,
progressive_summary: None,
messages_summarized_up_to: 0,
},
RestorationMode::Continue => AgentConversationData {
server_conversation_token: Some(
metadata.server_conversation_token.as_str().to_string(),
),
conversation_usage_metadata: usage_metadata,
reverted_action_ids: None,
forked_from_server_conversation_token: None,
artifacts_json: serde_json::to_string(&metadata.artifacts).ok(),
parent_agent_id: None,
agent_name: None,
parent_conversation_id: None,
// TODO: Populate run_id from server metadata once it is exposed
// in ServerAIConversationMetadata. For cloud conversations that
// were spawned via the server API, the run_id is created at task
// dispatch time; adding it here would avoid a round-trip to StreamInit.
run_id: None,
autoexecute_override: None,
last_event_sequence: None,
progressive_summary: None,
messages_summarized_up_to: 0,
},
};
match AIConversation::new_restored(
conversation_id,
conversation_data.tasks.clone(),
Some(agent_conversation_data),
) {
Ok(mut conversation) => {
// Set the server metadata only if we're continuing
// If we're forking, this should be treated as a brand new conversation that doesn't have server metadata yet.
// After the first request, server metadata will be populated.
if matches!(restoration_mode, RestorationMode::Continue) {
conversation.set_server_metadata(metadata);
}
Some(conversation)
}
Err(e) => {
log::warn!("Failed to convert ConversationData to AIConversation: {e:?}");
None
}
}
}
/// Converts InputContext from the API to the application type `Arc<[AIAgentContext]>`
#[allow(clippy::single_range_in_vec_init)]
pub(crate) fn convert_input_context(context: Option<&api::InputContext>) -> Arc<[AIAgentContext]> {
let Some(context) = context else {
return Arc::new([]);
};
let mut result = Vec::new();
// Convert executed shell commands
#[allow(deprecated)]
for executed_shell_command in &context.executed_shell_commands {
if !executed_shell_command.command.is_empty() {
result.push(AIAgentContext::Block(Box::new(BlockContext {
id: BlockId::default(),
index: BlockIndex::from(0),
command: executed_shell_command.command.clone(),
output: executed_shell_command.output.clone(),
exit_code: ExitCode::from(executed_shell_command.exit_code),
is_auto_attached: executed_shell_command.is_auto_attached,
started_ts: executed_shell_command
.started_ts
.as_ref()
.map(|ts| proto_timestamp_to_local_datetime(ts.seconds, ts.nanos)),
finished_ts: executed_shell_command
.finished_ts
.as_ref()
.map(|ts| proto_timestamp_to_local_datetime(ts.seconds, ts.nanos)),
pwd: None,
shell: None,
username: None,
hostname: None,
git_branch: None,
os: None,
session_id: None,
})));
}
}
// Convert directory context
if let Some(directory) = &context.directory {
result.push(AIAgentContext::Directory {
pwd: if directory.pwd.is_empty() {
None
} else {
Some(directory.pwd.clone())
},
home_dir: if directory.home.is_empty() {
None
} else {
Some(directory.home.clone())
},
are_file_symbols_indexed: directory.pwd_file_symbols_indexed,
});
}
// Convert operating system and shell to execution environment
if let (Some(os), Some(shell)) = (&context.operating_system, &context.shell) {
result.push(AIAgentContext::ExecutionEnvironment(
WarpAiExecutionContext {
os: WarpAiOsContext {
category: if os.platform.is_empty() {
None
} else {
Some(os.platform.clone())
},
distribution: if os.distribution.is_empty() {
None
} else {
Some(os.distribution.clone())
},
},
shell_name: shell.name.clone(),
shell_version: if shell.version.is_empty() {
None
} else {
Some(shell.version.clone())
},
},
));
}
// Convert current time
if let Some(current_time) = &context.current_time {
let datetime = proto_timestamp_to_local_datetime(current_time.seconds, current_time.nanos);
result.push(AIAgentContext::CurrentTime {
current_time: datetime,
});
}
// Convert selected text
for selected_text in &context.selected_text {
if !selected_text.text.is_empty() {
result.push(AIAgentContext::SelectedText(selected_text.text.clone()));
}
}
// Convert images
for image in &context.images {
if !image.data.is_empty() {
let mime_type = if image.mime_type.is_empty() {
"image/jpeg".to_string() // Default MIME type
} else {
image.mime_type.clone()
};
// Convert binary data to base64
use base64::{engine::general_purpose, Engine};
let data = general_purpose::STANDARD.encode(&image.data);
result.push(AIAgentContext::Image(ImageContext {
data,
mime_type,
file_name: "image".to_string(), // Default file name since proto doesn't have it
is_figma: false, // This field is only used for detecting Figma pngs in the input and is not meaningful for restored conversations.
}));
}
}
// Convert files
for file in &context.files {
if let Some(content) = &file.content {
let file_context = FileContext::from(content.clone());
if !file_context.file_name.is_empty() && !file_context.content.is_empty() {
result.push(AIAgentContext::File(file_context.clone()));
}
}
}
// Convert project rules
for project_rules in &context.project_rules {
if !project_rules.root_path.is_empty()
&& (!project_rules.active_rule_files.is_empty()
|| !project_rules.additional_rule_file_paths.is_empty())
{
result.push(AIAgentContext::ProjectRules {
root_path: project_rules.root_path.clone(),
active_rules: project_rules
.active_rule_files
.iter()
.map(|file_content| FileContext::from(file_content.clone()))
.collect(),
additional_rule_paths: project_rules.additional_rule_file_paths.clone(),
});
}
}
// Convert codebases
for codebase in &context.codebases {
if !codebase.path.is_empty() && !codebase.name.is_empty() {
result.push(AIAgentContext::Codebase {
path: codebase.path.clone(),
name: codebase.name.clone(),
});
}
}
result.into()
}
/// Trait for converting task messages into AIAgentExchange objects
/// for display in the UI as restored AI blocks.
pub trait ConvertToExchanges {
fn into_exchanges(self) -> Vec<AIAgentExchange>;
}
impl ConvertToExchanges for &api::Task {
/// Converts a list of tasks into AIAgentExchange objects.
///
/// Note: for now, we only restore messages from the root task (task with no parent).
fn into_exchanges(self) -> Vec<AIAgentExchange> {
let mut exchanges = Vec::new();
let mut todo_lists: Vec<AIAgentTodoList> = Vec::new();
// Build a map of message_id -> message for quick lookup
let mut message_map: HashMap<&str, &api::Message> = HashMap::new();
// Build a map of tool_call_id -> tool_call for cancelled results
let mut tool_call_map: HashMap<String, &api::message::ToolCall> = HashMap::new();
for message in &self.messages {
message_map.insert(message.id.as_str(), message);
// If this is a tool call message, add it to the tool call map
if let Some(api::message::Message::ToolCall(tool_call)) = &message.message {
tool_call_map.insert(tool_call.tool_call_id.clone(), tool_call);
}
}
// Process messages in chronological order
let mut current_inputs = Vec::new();
let mut current_outputs = Vec::new();
let mut current_message_ids = HashSet::new();
let mut document_versions: HashMap<AIDocumentId, AIDocumentVersion> = HashMap::new();
let mut current_request_id: Option<String> = None;
// Almost all messages should be ingested as outputs, except for some special cases:
// 1. User queries
// 2. System queries, but only if they are displayed as user queries/initiate conversations, like queries:
// * from the new project flow (displayed as user queries)
// * from the clone repository flow (displayed as user queries)
// * from auto code diff queries (initiate new conversations)
// 3. tool call results (as we also render these like inputs)
for api_message in self.messages.iter() {
let Some(message) = &api_message.message else {
continue;
};
let task_id = TaskId::new(api_message.task_id.clone());
// Check if request_id has changed - if so, create an exchange from accumulated messages
let message_request_id = if api_message.request_id.is_empty() {
None
} else {
Some(api_message.request_id.clone())
};
// Create exchange if request_id changed and we have accumulated messages
if message_request_id != current_request_id
&& current_request_id.is_some()
&& (!current_inputs.is_empty() || !current_outputs.is_empty())
{
let is_output_tool_call_canceled = current_inputs
.last()
.and_then(|input: &AIAgentInput| input.action_result())
.map(|result| result.result.is_cancelled())
.unwrap_or(false);
if let Some(exchange) = create_exchange_from_messages(
&current_inputs,
&current_outputs,
is_output_tool_call_canceled,
&current_message_ids,
&message_map,
current_request_id.as_deref(),
) {
exchanges.push(exchange);
}
current_inputs.clear();
current_outputs.clear();
current_message_ids.clear();
}
// Update current_request_id
current_request_id = message_request_id;
// Track this message ID for the current exchange
current_message_ids.insert(api_message.id.clone());
let added_message_as_exchange_input = match message {
api::message::Message::UserQuery(user_query) => {
// Add user query as input
current_inputs.push(AIAgentInput::UserQuery {
query: user_query.query.clone(),
context: convert_input_context(user_query.context.as_ref()),
static_query_type: None,
referenced_attachments: HashMap::new(),
user_query_mode: convert_user_query_mode(user_query.mode.as_ref()),
running_command: None,
intended_agent: Some(user_query.intended_agent()),
});
true
}
api::message::Message::SystemQuery(query) => {
let Some(query_type) = &query.r#type else {
continue;
};
match query_type {
api::message::system_query::Type::CreateNewProject(auto_code_diff) => {
current_inputs.push(AIAgentInput::UserQuery {
query: auto_code_diff.query.clone(),
context: convert_input_context(query.context.as_ref()),
static_query_type: None,
referenced_attachments: HashMap::new(),
user_query_mode: UserQueryMode::default(), // SystemQuery doesn't have mode field
running_command: None,
intended_agent: None,
});
true
}
api::message::system_query::Type::CloneRepository(clone_repo) => {
current_inputs.push(AIAgentInput::CloneRepository {
clone_repo_url: CloneRepositoryURL::new(clone_repo.url.clone()),
context: convert_input_context(query.context.as_ref()),
});
true
}
api::message::system_query::Type::AutoCodeDiff(auto_code_diff) => {
current_inputs.push(AIAgentInput::AutoCodeDiffQuery {
query: auto_code_diff.query.clone(),
context: convert_input_context(query.context.as_ref()),
});
true
}
api::message::system_query::Type::FetchReviewComments(fetch) => {
current_inputs.push(AIAgentInput::FetchReviewComments {
repo_path: fetch.repo_path.clone(),
context: convert_input_context(query.context.as_ref()),
});
true
}
// TriggerSuggestPrompt is not rendered as user input, so we don't want to include it as an input in the exchange.
// ResumeConversation is actually added to the task's messages as a plain UserQuery, so we don't expect to encounter it in the task's messages.
api::message::system_query::Type::ResumeConversation(_)
| api::message::system_query::Type::GeneratePassiveSuggestions(_)
// TODO: Implement this for real. ZB adding this to bump proto version for unrelated API changes.
| api::message::system_query::Type::SummarizeConversation(_)=> false,
}
}
api::message::Message::ToolCallResult(tool_call_result) => {
// Try to convert tool call result - returns None for ServerToolCalls
if let Some(input) = convert_tool_call_result_to_input(
&task_id,
tool_call_result,
&tool_call_map,
&mut document_versions,
) {
// Add tool call result as input
current_inputs.push(input);
}
true
}
api::message::Message::UpdateTodos(update) => {
if let Some(operation) = &update.operation {
update_todo_list_from_todo_op(&mut todo_lists, operation.clone());
}
false
}
api::message::Message::InvokeSkill(invoke_skill) => {
if let Some(api_skill) = invoke_skill.skill.clone() {
if let Ok(parsed_skill) = ParsedSkill::try_from(api_skill) {
let user_query = invoke_skill
.user_query
.clone()
.map(|user_query| crate::ai::agent::InvokeSkillUserQuery {
query: user_query.query,
// Restored conversations currently do not hydrate invoke-skill
// inline attachments back into client-side attachment structs.
// TODO(APP-3101): support rehydration of attachments.
referenced_attachments: HashMap::new(),
});
let input = AIAgentInput::InvokeSkill {
context: Arc::new([]),
skill: parsed_skill,
user_query,
};
current_inputs.push(input);
};
};
true
}
// Preserve EventsFromAgents as an explicit input in restored conversations
// so orchestration state (including lifecycle timestamps) survives roundtrip.
api::message::Message::EventsFromAgents(events) => {
current_inputs.push(AIAgentInput::EventsFromAgents {
events: events.agent_events.clone(),
});
true
}
api::message::Message::PassiveSuggestionResult(passive_result) => {
if let Some(input) =
convert_passive_suggestion_result_to_input(passive_result)
{
current_inputs.push(input);
}
true
}
api::message::Message::AgentOutput(_)
| api::message::Message::AgentReasoning(_)
| api::message::Message::Summarization(_)
| api::message::Message::ToolCall(_)
| api::message::Message::ServerEvent(_)
| api::message::Message::UpdateReviewComments(_)
| api::message::Message::CodeReview(_)
// TODO(advait): Handle this for restored + forked conversations w/ web searches/fetches.
| api::message::Message::WebSearch(_)
| api::message::Message::WebFetch(_)
| api::message::Message::DebugOutput(_)
| api::message::Message::ArtifactEvent(_)
| api::message::Message::MessagesReceivedFromAgents(_)
| api::message::Message::ModelUsed(_) => false,
};
if !added_message_as_exchange_input {
if let Ok(MaybeAIAgentOutputMessage::Message(output_msg)) = (*api_message)
.clone()
.to_client_output_message(ConversionParams {
current_todo_list: todo_lists.last(),
// TODO(alokedesai): Support persistence for the code review state.
active_code_review: None,
task_id: &TaskId::new(api_message.task_id.clone()),
})
{
current_outputs.push(output_msg);
}
}
}
// At the end, if we have remaining inputs or outputs, create the last exchange.
if !current_inputs.is_empty() || !current_outputs.is_empty() {
// If the last message is a tool call (i.e. we have no corresponding result)
// we will assume the tool call was cancelled.
let is_output_tool_call_canceled = self.messages.last().is_some_and(|message| {
matches!(message.message, Some(api::message::Message::ToolCall(_)))
});
if let Some(exchange) = create_exchange_from_messages(
&current_inputs,
&current_outputs,
is_output_tool_call_canceled,
&current_message_ids,
&message_map,
current_request_id.as_deref(),
) {
exchanges.push(exchange);
}
}
exchanges
}
}
/// Convert a ToolCallResult to an AIAgentInput::ActionResult
/// Returns None if the tool call result is a ServerToolCallResult
/// `document_versions` tracks the latest version per document for CreateDocuments and EditDocuments results.
/// Each new document (CreateDocuments) starts at the default version; edits increment the specific document's version.
#[allow(clippy::single_range_in_vec_init)]
pub(crate) fn convert_tool_call_result_to_input(
task_id: &TaskId,
tool_call_result: &api::message::ToolCallResult,
tool_call_map: &HashMap<String, &api::message::ToolCall>,
document_versions: &mut HashMap<AIDocumentId, AIDocumentVersion>,
) -> Option<AIAgentInput> {
use warp_multi_agent_api::message::tool_call_result::Result as ToolCallResultType;
let tool_call_id = tool_call_result.tool_call_id.clone();
let context = convert_input_context(tool_call_result.context.as_ref());
match tool_call_result.result.as_ref() {
Some(ToolCallResultType::RunShellCommand(result)) => {
// Convert RunShellCommand result to RequestCommandOutputResult
let command_output_result = match &result.result {
Some(api::run_shell_command_result::Result::CommandFinished(finished)) => {
RequestCommandOutputResult::Completed {
block_id: finished.command_id.clone().into(),
command: result.command.clone(),
output: finished.output.clone(),
exit_code: ExitCode::from(finished.exit_code),
}
}
Some(api::run_shell_command_result::Result::LongRunningCommandSnapshot(
snapshot,
)) => RequestCommandOutputResult::LongRunningCommandSnapshot {
command: result.command.clone(),
block_id: snapshot.command_id.clone().into(),
grid_contents: snapshot.output.clone(),
cursor: snapshot.cursor.clone(),
is_alt_screen_active: snapshot.is_alt_screen_active,
},
Some(api::run_shell_command_result::Result::PermissionDenied(
api::PermissionDenied { .. },
))
| None => {
// If no result is present, treat as cancelled
RequestCommandOutputResult::CancelledBeforeExecution
}
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::RequestCommandOutput(command_output_result),
},
context,
})
}
Some(ToolCallResultType::WriteToLongRunningShellCommand(result)) => {
let write_result = match &result.result {
Some(api::write_to_long_running_shell_command_result::Result::LongRunningCommandSnapshot(
snapshot,
)) => WriteToLongRunningShellCommandResult::Snapshot {
block_id: snapshot.command_id.clone().into(),
grid_contents: snapshot.output.clone(),
cursor: snapshot.cursor.clone(),
is_alt_screen_active: snapshot.is_alt_screen_active,
is_preempted: snapshot.is_preempted,
},
Some(api::write_to_long_running_shell_command_result::Result::CommandFinished(
finished,
)) => WriteToLongRunningShellCommandResult::CommandFinished {
block_id: finished.command_id.clone().into(),
output: finished.output.clone(),
exit_code: ExitCode::from(finished.exit_code),
},
Some(api::write_to_long_running_shell_command_result::Result::Error(api::ShellCommandError{
r#type: Some(api::shell_command_error::Type::CommandNotFound(()))
})) => WriteToLongRunningShellCommandResult::Error(ShellCommandError::BlockNotFound),
Some(api::write_to_long_running_shell_command_result::Result::Error(_)) | None => WriteToLongRunningShellCommandResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::WriteToLongRunningShellCommand(write_result),
},
context,
})
}
Some(ToolCallResultType::ReadFiles(result)) => {
let read_result = match &result.result {
Some(api::read_files_result::Result::AnyFilesSuccess(success)) => {
let files = success
.files
.iter()
.map(|file| FileContext::from(file.clone()))
.collect();
ReadFilesResult::Success { files }
}
Some(api::read_files_result::Result::TextFilesSuccess(success)) => {
let files = success
.files
.iter()
.map(|file| FileContext::from(file.clone()))
.collect();
ReadFilesResult::Success { files }
}
Some(api::read_files_result::Result::Error(error)) => {
ReadFilesResult::Error(error.message.clone())
}
None => ReadFilesResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::ReadFiles(read_result),
},
context,
})
}
Some(ToolCallResultType::UploadFileArtifact(result)) => {
let upload_result = match &result.result {
Some(api::upload_file_artifact_result::Result::Success(success)) => {
UploadArtifactResult::Success {
artifact_uid: success.artifact_uid.clone(),
filepath: None,
mime_type: success.mime_type.clone(),
description: None,
size_bytes: success.size_bytes,
}
}
Some(api::upload_file_artifact_result::Result::Error(error)) => {
UploadArtifactResult::Error(error.message.clone())
}
None => UploadArtifactResult::Error(
"Upload artifact tool call returned no result".to_string(),
),
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::UploadArtifact(upload_result),
},
context,
})
}
Some(ToolCallResultType::SearchCodebase(result)) => {
let search_result = match &result.result {
Some(api::search_codebase_result::Result::Success(success)) => {
let files = success
.files
.iter()
.map(|file| FileContext::from(file.clone()))
.collect();
SearchCodebaseResult::Success { files }
}
Some(api::search_codebase_result::Result::Error(error)) => {
SearchCodebaseResult::Failed {
reason: SearchCodebaseFailureReason::ClientError,
message: error.message.clone(),
}
}
None => SearchCodebaseResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::SearchCodebase(search_result),
},
context,
})
}
Some(ToolCallResultType::ApplyFileDiffs(result)) => {
let edit_result = match &result.result {
Some(api::apply_file_diffs_result::Result::Success(success)) => {
let updated_files = success
.updated_files_v2
.iter()
.filter_map(|updated_file| {
updated_file.file.as_ref().map(|file| UpdatedFileContext {
was_edited_by_user: updated_file.was_edited_by_user,
file_context: FileContext::from(file.clone()),
})
})
.collect();
RequestFileEditsResult::Success {
diff: "".to_string(), // This is a legacy-only field that should be removed
updated_files,
deleted_files: success
.deleted_files
.iter()
.map(|f| f.file_path.clone())
.collect(),
// Line counts are not available in legacy persisted data
lines_added: 0,
lines_removed: 0,
}
}
Some(api::apply_file_diffs_result::Result::Error(error)) => {
RequestFileEditsResult::DiffApplicationFailed {
error: error.message.clone(),
}
}
None => RequestFileEditsResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::RequestFileEdits(edit_result),
},
context,
})
}
Some(ToolCallResultType::Grep(result)) => {
let grep_result = match &result.result {
Some(api::grep_result::Result::Success(success)) => {
let matched_files = success
.matched_files
.iter()
.map(|file| {
let matched_lines = file
.matched_lines
.iter()
.map(|line| GrepLineMatch {
line_number: line.line_number as usize,
})
.collect();
GrepFileMatch {
file_path: file.file_path.clone(),
matched_lines,
}
})
.collect();
GrepResult::Success { matched_files }
}
Some(api::grep_result::Result::Error(error)) => {
GrepResult::Error(error.message.clone())
}
None => GrepResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::Grep(grep_result),
},
context,
})
}
#[allow(deprecated)]
Some(ToolCallResultType::FileGlob(result)) => {
let glob_result = match &result.result {
Some(api::file_glob_result::Result::Success(success)) => FileGlobResult::Success {
matched_files: success.matched_files.clone(),
},
Some(api::file_glob_result::Result::Error(error)) => {
FileGlobResult::Error(error.message.clone())
}
None => FileGlobResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::FileGlob(glob_result),
},
context,
})
}
Some(ToolCallResultType::FileGlobV2(result)) => {
let glob_result = match &result.result {
Some(api::file_glob_v2_result::Result::Success(success)) => {
let matched_files = success
.matched_files
.iter()
.map(|file| FileGlobV2Match {
file_path: file.file_path.clone(),
})
.collect();
FileGlobV2Result::Success {
matched_files,
warnings: Some(success.warnings.clone()).filter(|s| !s.is_empty()),
}
}
Some(api::file_glob_v2_result::Result::Error(error)) => {
FileGlobV2Result::Error(error.message.clone())
}
None => FileGlobV2Result::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::FileGlobV2(glob_result),
},
context,
})
}
Some(ToolCallResultType::ReadMcpResource(result)) => {
let mcp_result = match &result.result {
Some(api::read_mcp_resource_result::Result::Success(success)) => {
let resource_contents = success
.contents
.iter()
.map(|content| {
match &content.content_type {
Some(api::mcp_resource_content::ContentType::Text(text)) => {
rmcp::model::ResourceContents::TextResourceContents {
uri: content.uri.clone(),
mime_type: Some(text.mime_type.clone()),
text: text.content.clone(),
meta: None,
}
}
Some(api::mcp_resource_content::ContentType::Binary(binary)) => {
rmcp::model::ResourceContents::BlobResourceContents {
uri: content.uri.clone(),
mime_type: Some(binary.mime_type.clone()),
blob: String::from_utf8_lossy(&binary.data).into_owned(),
meta: None,
}
}
None => {
// Default to text if no content type is specified
rmcp::model::ResourceContents::TextResourceContents {
uri: content.uri.clone(),
mime_type: None,
text: "".to_string(),
meta: None,
}
}
}
})
.collect();
ReadMCPResourceResult::Success { resource_contents }
}
Some(api::read_mcp_resource_result::Result::Error(error)) => {
ReadMCPResourceResult::Error(error.message.clone())
}
None => ReadMCPResourceResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::ReadMCPResource(mcp_result),
},
context,
})
}
Some(ToolCallResultType::CallMcpTool(result)) => {
let mcp_tool_result = match &result.result {
Some(api::call_mcp_tool_result::Result::Success(success)) => {
let results = success
.results
.iter()
.map(|api_result| match &api_result.result {
Some(api::call_mcp_tool_result::success::result::Result::Text(
text,
)) => rmcp::model::Content::text(text.text.clone()),
Some(api::call_mcp_tool_result::success::result::Result::Image(
image,
)) => rmcp::model::Content::image(
String::from_utf8_lossy(&image.data).to_string(),
image.mime_type.clone(),
),
Some(api::call_mcp_tool_result::success::result::Result::Resource(
resource,
)) => match &resource.content_type {
Some(api::mcp_resource_content::ContentType::Text(text)) => {
rmcp::model::Content::resource(
rmcp::model::ResourceContents::text(
text.content.clone(),
resource.uri.clone(),
),
)
}
Some(api::mcp_resource_content::ContentType::Binary(binary)) => {
rmcp::model::Content::resource(
rmcp::model::ResourceContents::BlobResourceContents {
uri: resource.uri.clone(),
mime_type: Some(binary.mime_type.clone()),
blob: String::from_utf8_lossy(&binary.data).to_string(),
meta: None,
},
)
}
None => rmcp::model::Content::resource(
rmcp::model::ResourceContents::text(
String::new(),
resource.uri.clone(),
),
),
},
None => rmcp::model::Content::text(String::new()),
})
.collect();
let result = rmcp::model::CallToolResult::success(results);
CallMCPToolResult::Success { result }
}
Some(api::call_mcp_tool_result::Result::Error(error)) => {
CallMCPToolResult::Error(error.message.clone())
}
None => CallMCPToolResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::CallMCPTool(mcp_tool_result),
},
context,
})
}
Some(ToolCallResultType::ReadSkill(result)) => {
let read_skill_result = match &result.result {
Some(api::read_skill_result::Result::Success(success)) => {
if let Some(content) = &success.content {
let context = FileContext::from(content.clone());
ReadSkillResult::Success { content: context }
} else {
ReadSkillResult::Error("FileContent is None".to_string())
}
}
Some(api::read_skill_result::Result::Error(error)) => {
ReadSkillResult::Error(error.message.clone())
}
None => ReadSkillResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::ReadSkill(read_skill_result),
},
context,
})
}
Some(ToolCallResultType::SuggestNewConversation(result)) => {
let conversation_result = match &result.result {
Some(api::suggest_new_conversation_result::Result::Accepted(accepted)) => {
SuggestNewConversationResult::Accepted {
message_id: accepted.message_id.clone(),
}
}
Some(api::suggest_new_conversation_result::Result::Rejected(_)) => {
SuggestNewConversationResult::Rejected
}
None => SuggestNewConversationResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::SuggestNewConversation(conversation_result),
},
context,
})
}
Some(ToolCallResultType::SuggestPrompt(result)) => {
let prompt_result = match &result.result {
Some(api::suggest_prompt_result::Result::Accepted(_)) => {
// Find the accepted query from the original SuggestPrompt tool call
let query = tool_call_map.get(&tool_call_id)
.and_then(|tool_call| {
if let Some(api::message::tool_call::Tool::SuggestPrompt(suggest_prompt)) = &tool_call.tool {
match &suggest_prompt.display_mode {
Some(api::message::tool_call::suggest_prompt::DisplayMode::InlineQueryBanner(
inline_query_banner,
)) => Some(inline_query_banner.query.clone()),
_ => None,
}
} else {
None
}
})
.unwrap_or_default();
SuggestPromptResult::Accepted { query }
}
_ => SuggestPromptResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::SuggestPrompt(prompt_result),
},
context,
})
}
Some(ToolCallResultType::OpenCodeReview(_)) => Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::OpenCodeReview,
},
context,
}),
Some(ToolCallResultType::InitProject(_)) => Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::InitProject,
},
context,
}),
Some(ToolCallResultType::ReadDocuments(result)) => {
let read_result = match &result.result {
Some(api::read_documents_result::Result::Success(success)) => {
let documents = success
.documents
.iter()
.filter_map(|doc| {
AIDocumentId::try_from(doc.document_id.clone())
.ok()
.map(|id| {
DocumentContext {
document_id: id,
// Version is a placeholder here - the actual current version
// will be determined when the document is accessed from AIDocumentModel
document_version: AIDocumentVersion(1),
content: doc.content.clone(),
line_ranges: vec![],
}
})
})
.collect();
ReadDocumentsResult::Success { documents }
}
Some(api::read_documents_result::Result::Error(error)) => {
ReadDocumentsResult::Error(error.message.clone())
}
None => ReadDocumentsResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::ReadDocuments(read_result),
},
context,
})
}
Some(ToolCallResultType::EditDocuments(result)) => {
let edit_result = match &result.result {
Some(api::edit_documents_result::Result::Success(success)) => {
let updated_documents = success
.updated_documents
.iter()
.map(|doc| {
AIDocumentId::try_from(doc.document_id.clone())
.ok()
.map(|id| {
// Each edit produces a new version. Increment the
// tracked version for this document and use the result.
let entry = document_versions.entry(id).or_default();
let version = entry.next();
*entry = version;
DocumentContext {
document_id: id,
document_version: version,
content: doc.content.clone(),
line_ranges: vec![],
}
})
})
.collect::<Option<Vec<_>>>()
.unwrap_or_default();
EditDocumentsResult::Success { updated_documents }
}
Some(api::edit_documents_result::Result::Error(error)) => {
EditDocumentsResult::Error(error.message.clone())
}
None => EditDocumentsResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::EditDocuments(edit_result),
},
context,
})
}
Some(ToolCallResultType::CreateDocuments(result)) => {
let create_result = match &result.result {
Some(api::create_documents_result::Result::Success(success)) => {
let created_documents = success
.created_documents
.iter()
.map(|doc| {
AIDocumentId::try_from(doc.document_id.clone())
.ok()
.map(|id| {
// New documents always start at the default version.
let version = AIDocumentVersion::default();
document_versions.insert(id, version);
DocumentContext {
document_id: id,
document_version: version,
content: doc.content.clone(),
line_ranges: vec![],
}
})
})
.collect::<Option<Vec<_>>>()
.unwrap_or_default();
CreateDocumentsResult::Success { created_documents }
}
Some(api::create_documents_result::Result::Error(error)) => {
CreateDocumentsResult::Error(error.message.clone())
}
None => CreateDocumentsResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::CreateDocuments(create_result),
},
context,
})
}
Some(ToolCallResultType::ReadShellCommandOutput(result)) => {
let read_result = match &result.result {
Some(api::read_shell_command_output_result::Result::CommandFinished(finished)) => {
ReadShellCommandOutputResult::CommandFinished {
command: result.command.clone(),
block_id: finished.command_id.clone().into(),
output: finished.output.clone(),
exit_code: ExitCode::from(finished.exit_code),
}
}
Some(
api::read_shell_command_output_result::Result::LongRunningCommandSnapshot(
snapshot,
),
) => ReadShellCommandOutputResult::LongRunningCommandSnapshot {
command: result.command.clone(),
block_id: snapshot.command_id.clone().into(),
grid_contents: snapshot.output.clone(),
cursor: snapshot.cursor.clone(),
is_alt_screen_active: snapshot.is_alt_screen_active,
is_preempted: snapshot.is_preempted,
},
Some(api::read_shell_command_output_result::Result::Error(
api::ShellCommandError {
r#type: Some(api::shell_command_error::Type::CommandNotFound(())),
},
)) => ReadShellCommandOutputResult::Error(ShellCommandError::BlockNotFound),
Some(api::read_shell_command_output_result::Result::Error(_)) | None => {
ReadShellCommandOutputResult::Cancelled
}
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::ReadShellCommandOutput(read_result),
},
context,
})
}
Some(ToolCallResultType::TransferShellCommandControlToUser(result)) => {
let transfer_result = match &result.result {
Some(
api::transfer_shell_command_control_to_user_result::Result::LongRunningCommandSnapshot(snapshot),
) => TransferShellCommandControlToUserResult::Snapshot {
block_id: snapshot.command_id.clone().into(),
grid_contents: snapshot.output.clone(),
cursor: snapshot.cursor.clone(),
is_alt_screen_active: snapshot.is_alt_screen_active,
is_preempted: snapshot.is_preempted,
},
Some(
api::transfer_shell_command_control_to_user_result::Result::CommandFinished(finished),
) => TransferShellCommandControlToUserResult::CommandFinished {
block_id: finished.command_id.clone().into(),
output: finished.output.clone(),
exit_code: ExitCode::from(finished.exit_code),
},
Some(api::transfer_shell_command_control_to_user_result::Result::Error(
api::ShellCommandError {
r#type: Some(api::shell_command_error::Type::CommandNotFound(())),
},
)) => TransferShellCommandControlToUserResult::Error(
ShellCommandError::BlockNotFound,
),
Some(api::transfer_shell_command_control_to_user_result::Result::Error(_))
| None => TransferShellCommandControlToUserResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::TransferShellCommandControlToUser(
transfer_result,
),
},
context,
})
}
Some(ToolCallResultType::InsertReviewComments(api_result)) => {
let res = AIAgentActionResultType::InsertReviewComments(match &api_result.result {
Some(api::insert_review_comments_result::Result::Success(_)) => {
InsertReviewCommentsResult::Success {
repo_path: api_result.repo_path.clone(),
}
}
Some(api::insert_review_comments_result::Result::Error(err)) => {
InsertReviewCommentsResult::Error {
repo_path: api_result.repo_path.clone(),
message: err.message.clone(),
}
}
None => InsertReviewCommentsResult::Cancelled,
});
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: res,
},
context,
})
}
Some(ToolCallResultType::UseComputer(result)) => {
let use_computer_result = match &result.result {
Some(api::use_computer_result::Result::Success(success)) => {
let screenshot = success.screenshot.as_ref().map(|s| {
// The original dimensions are not preserved through the API, so we use
// the current dimensions for both.
computer_use::Screenshot {
width: s.width as usize,
height: s.height as usize,
original_width: s.width as usize,
original_height: s.height as usize,
data: s.data.clone(),
mime_type: s.mime_type.clone().into(),
}
});
let cursor_position = success
.cursor_position
.as_ref()
.map(|c| computer_use::Vector2I::new(c.x, c.y));
UseComputerResult::Success(computer_use::ActionResult {
screenshot,
cursor_position,
})
}
Some(api::use_computer_result::Result::Error(error)) => {
UseComputerResult::Error(error.message.clone())
}
None => UseComputerResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::UseComputer(use_computer_result),
},
context,
})
}
Some(ToolCallResultType::RequestComputerUseResult(result)) => {
let request_result = match &result.result {
Some(api::request_computer_use_result::Result::Approved(approved)) => {
match (approved, convert_api_platform(approved.platform)) {
(
api::request_computer_use_result::Approved {
screen_dimensions: Some(screen_dimensions),
initial_screenshot: Some(initial_screenshot),
..
},
Some(platform),
) => RequestComputerUseResult::Approved {
screenshot: computer_use::Screenshot {
width: initial_screenshot.width as usize,
height: initial_screenshot.height as usize,
original_width: screen_dimensions.width_px as usize,
original_height: screen_dimensions.height_px as usize,
data: initial_screenshot.data.clone(),
mime_type: initial_screenshot.mime_type.clone().into(),
},
platform,
},
_ => RequestComputerUseResult::Error(
"Missing screen dimensions, initial screenshot, or valid platform"
.to_string(),
),
}
}
Some(api::request_computer_use_result::Result::Rejected(_)) => {
RequestComputerUseResult::Cancelled
}
Some(api::request_computer_use_result::Result::Error(error)) => {
RequestComputerUseResult::Error(error.message.clone())
}
None => RequestComputerUseResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::RequestComputerUse(request_result),
},
context,
})
}
Some(ToolCallResultType::FetchConversation(result)) => {
let fetch_result = match &result.result {
Some(api::fetch_conversation_result::Result::Success(success)) => {
FetchConversationResult::Success {
directory_path: success.directory_path.clone(),
}
}
Some(api::fetch_conversation_result::Result::Error(error)) => {
FetchConversationResult::Error(error.message.clone())
}
None => FetchConversationResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::FetchConversation(fetch_result),
},
context,
})
}
Some(ToolCallResultType::Server(_)) => {
// Server results should not create exchanges - return None
None
}
Some(ToolCallResultType::Cancel(_)) => {
// Cancel results indicate the tool call was explicitly cancelled
// Look up the original tool call to determine the correct result type
create_cancelled_result_for_tool_call(task_id, &tool_call_id, tool_call_map, context)
}
Some(ToolCallResultType::Subagent(_)) => None,
Some(ToolCallResultType::StartAgent(result)) => {
let start_agent_result = match &result.result {
Some(api::start_agent_result::Result::Success(success)) => {
StartAgentResult::Success {
agent_id: success.agent_id.clone(),
version: StartAgentVersion::V1,
}
}
Some(api::start_agent_result::Result::Error(error)) => StartAgentResult::Error {
error: error.error.clone(),
version: StartAgentVersion::V1,
},
None => StartAgentResult::Cancelled {
version: StartAgentVersion::V1,
},
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::StartAgent(start_agent_result),
},
context,
})
}
Some(ToolCallResultType::StartAgentV2(result)) => {
let start_agent_result = match &result.result {
Some(api::start_agent_v2_result::Result::Success(success)) => {
StartAgentResult::Success {
agent_id: success.agent_id.clone(),
version: StartAgentVersion::V2,
}
}
Some(api::start_agent_v2_result::Result::Error(error)) => StartAgentResult::Error {
error: error.error.clone(),
version: StartAgentVersion::V2,
},
None => StartAgentResult::Cancelled {
version: StartAgentVersion::V2,
},
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::StartAgent(start_agent_result),
},
context,
})
}
Some(ToolCallResultType::AskUserQuestion(result)) => {
let ask_result = match &result.result {
Some(warp_multi_agent_api::ask_user_question_result::Result::Success(success)) => {
AskUserQuestionResult::Success {
answers: success
.answers
.iter()
.map(|a| match &a.answer {
Some(AskUserQuestionAnswer::MultipleChoice(mc)) => {
AskUserQuestionAnswerItem::Answered {
question_id: a.question_id.clone(),
selected_options: mc.selected_options.clone(),
other_text: mc.other_text.clone(),
}
}
Some(AskUserQuestionAnswer::Skipped(())) | None => {
AskUserQuestionAnswerItem::Skipped {
question_id: a.question_id.clone(),
}
}
})
.collect(),
}
}
Some(warp_multi_agent_api::ask_user_question_result::Result::Error(err)) => {
AskUserQuestionResult::Error(err.message.clone())
}
None => AskUserQuestionResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::AskUserQuestion(ask_result),
},
context,
})
}
Some(ToolCallResultType::SendMessageToAgent(result)) => {
let send_message_result = match &result.result {
Some(api::send_message_to_agent_result::Result::Success(success)) => {
SendMessageToAgentResult::Success {
message_id: success.message_id.clone(),
}
}
Some(api::send_message_to_agent_result::Result::Error(error)) => {
SendMessageToAgentResult::Error(error.message.clone())
}
None => SendMessageToAgentResult::Cancelled,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::SendMessageToAgent(send_message_result),
},
context,
})
}
// Deprecated/unused result types or absent result.
Some(ToolCallResultType::SuggestCreatePlan(..))
| Some(ToolCallResultType::SuggestPlan(..))
| None => {
log::warn!("No result present for tool call ID: {tool_call_id}");
None
}
}
}
/// Create a cancelled result for a tool call based on the original tool call type
fn create_cancelled_result_for_tool_call(
task_id: &TaskId,
tool_call_id: &str,
tool_call_map: &HashMap<String, &api::message::ToolCall>,
context: Arc<[AIAgentContext]>,
) -> Option<AIAgentInput> {
use api::message::tool_call::Tool as ToolType;
let Some(original_tool_call) = tool_call_map.get(tool_call_id) else {
log::warn!("No original tool call found for cancelled tool call ID: {tool_call_id}");
// Default to RequestCommandOutput if we can't find the original tool call
let cancelled_result = RequestCommandOutputResult::CancelledBeforeExecution;
return Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.to_string().into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::RequestCommandOutput(cancelled_result),
},
context,
});
};
let Some(tool) = &original_tool_call.tool else {
log::warn!("No tool found in original tool call for ID: {tool_call_id}");
// Default to RequestCommandOutput if we can't find the tool type
let cancelled_result = RequestCommandOutputResult::CancelledBeforeExecution;
return Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.to_string().into(),
task_id: task_id.clone(),
result: AIAgentActionResultType::RequestCommandOutput(cancelled_result),
},
context,
});
};
let result_type = match tool {
ToolType::RunShellCommand(_) => AIAgentActionResultType::RequestCommandOutput(
RequestCommandOutputResult::CancelledBeforeExecution,
),
ToolType::WriteToLongRunningShellCommand(_) => {
AIAgentActionResultType::WriteToLongRunningShellCommand(
WriteToLongRunningShellCommandResult::Cancelled,
)
}
ToolType::ReadFiles(_) => AIAgentActionResultType::ReadFiles(ReadFilesResult::Cancelled),
ToolType::UploadFileArtifact(_) => {
AIAgentActionResultType::UploadArtifact(UploadArtifactResult::Cancelled)
}
ToolType::SearchCodebase(_) => {
AIAgentActionResultType::SearchCodebase(SearchCodebaseResult::Cancelled)
}
ToolType::ApplyFileDiffs(_) => {
AIAgentActionResultType::RequestFileEdits(RequestFileEditsResult::Cancelled)
}
ToolType::Grep(_) => AIAgentActionResultType::Grep(GrepResult::Cancelled),
#[allow(deprecated)]
ToolType::FileGlob(_) => AIAgentActionResultType::FileGlob(FileGlobResult::Cancelled),
ToolType::FileGlobV2(_) => AIAgentActionResultType::FileGlobV2(FileGlobV2Result::Cancelled),
ToolType::ReadMcpResource(_) => {
AIAgentActionResultType::ReadMCPResource(ReadMCPResourceResult::Cancelled)
}
ToolType::CallMcpTool(_) => {
AIAgentActionResultType::CallMCPTool(CallMCPToolResult::Cancelled)
}
ToolType::ReadSkill(_) => AIAgentActionResultType::ReadSkill(ReadSkillResult::Cancelled),
ToolType::SuggestNewConversation(_) => {
AIAgentActionResultType::SuggestNewConversation(SuggestNewConversationResult::Cancelled)
}
ToolType::SuggestPrompt(_) => {
AIAgentActionResultType::SuggestPrompt(SuggestPromptResult::Cancelled)
}
ToolType::OpenCodeReview(_) => AIAgentActionResultType::OpenCodeReview,
ToolType::InsertReviewComments(_) => {
AIAgentActionResultType::InsertReviewComments(InsertReviewCommentsResult::Cancelled)
}
ToolType::InitProject(_) => AIAgentActionResultType::InitProject,
ToolType::ReadDocuments(_) => {
AIAgentActionResultType::ReadDocuments(ReadDocumentsResult::Cancelled)
}
ToolType::EditDocuments(_) => {
AIAgentActionResultType::EditDocuments(EditDocumentsResult::Cancelled)
}
ToolType::CreateDocuments(_) => {
AIAgentActionResultType::CreateDocuments(CreateDocumentsResult::Cancelled)
}
ToolType::ReadShellCommandOutput(_) => {
AIAgentActionResultType::ReadShellCommandOutput(ReadShellCommandOutputResult::Cancelled)
}
ToolType::TransferShellCommandControlToUser(_) => {
AIAgentActionResultType::TransferShellCommandControlToUser(
TransferShellCommandControlToUserResult::Cancelled,
)
}
ToolType::UseComputer(_) => {
AIAgentActionResultType::UseComputer(UseComputerResult::Cancelled)
}
ToolType::RequestComputerUse(_) => {
AIAgentActionResultType::RequestComputerUse(RequestComputerUseResult::Cancelled)
}
ToolType::FetchConversation(_) => {
AIAgentActionResultType::FetchConversation(FetchConversationResult::Cancelled)
}
ToolType::Server(_) => {
return None;
}
ToolType::Subagent(_) => return None,
ToolType::StartAgent(_) => {
AIAgentActionResultType::StartAgent(StartAgentResult::Cancelled {
version: StartAgentVersion::V1,
})
}
ToolType::StartAgentV2(_) => {
AIAgentActionResultType::StartAgent(StartAgentResult::Cancelled {
version: StartAgentVersion::V2,
})
}
ToolType::AskUserQuestion(_) => {
AIAgentActionResultType::AskUserQuestion(AskUserQuestionResult::Cancelled)
}
ToolType::SendMessageToAgent(_) => {
AIAgentActionResultType::SendMessageToAgent(SendMessageToAgentResult::Cancelled)
}
// These tools are deprecated.
ToolType::SuggestCreatePlan(_) | ToolType::SuggestPlan(_) => return None,
};
Some(AIAgentInput::ActionResult {
result: AIAgentActionResult {
id: tool_call_id.to_string().into(),
task_id: task_id.clone(),
result: result_type,
},
context,
})
}
fn create_exchange_from_messages(
inputs: &[AIAgentInput],
outputs: &[AIAgentOutputMessage],
is_output_tool_call_canceled: bool,
message_ids: &HashSet<String>,
message_map: &HashMap<&str, &api::Message>,
server_output_id: Option<&str>,
) -> Option<AIAgentExchange> {
// Allow exchanges with only outputs (e.g., when returning from a subtask).
if inputs.is_empty() && outputs.is_empty() {
return None;
}
let exchange_id = AIAgentExchangeId::new();
// get the exchange's start time from the latest input's context
let start_time = inputs
.last()
.and_then(|input| input.context())
.and_then(|contexts| {
contexts.iter().find_map(|context| match context {
AIAgentContext::CurrentTime { current_time } => Some(*current_time),
_ => None,
})
})
// Fall back to any timestamp from the messages in this exchange
.or_else(|| {
message_ids.iter().find_map(|message_id| {
message_map.get(message_id.as_str()).and_then(|message| {
message.timestamp.as_ref().map(|timestamp| {
proto_timestamp_to_local_datetime(timestamp.seconds, timestamp.nanos)
})
})
})
})
.unwrap_or_default();
// Get the exchange's finish time from the last message timestamp in this exchange.
let finish_time = message_ids
.iter()
.filter_map(|message_id| {
message_map.get(message_id.as_str()).and_then(|message| {
message.timestamp.as_ref().map(|timestamp| {
proto_timestamp_to_local_datetime(timestamp.seconds, timestamp.nanos)
})
})
})
.max();
// Compute time to first token from the first non-input message in this exchange,
// reusing the same logic we expose for restored/forked conversations.
let time_to_first_token_ms = compute_time_to_first_token_ms_from_messages(
start_time,
message_ids
.iter()
.filter_map(|message_id| message_map.get(message_id.as_str()).copied()),
);
// Collect all citations from the output messages.
let mut citations = Vec::new();
for output in outputs {
citations.extend(output.citations.clone());
}
let model_used = message_ids
.iter()
.filter_map(|message_id| message_map.get(message_id.as_str()))
.find_map(|message| {
message.message.as_ref().and_then(|message| match message {
api::message::Message::ModelUsed(model_used) => Some(model_used),
_ => None,
})
});
// Create AIAgentOutput from the output messages
let ai_output = AIAgentOutput {
messages: outputs.to_vec(),
citations,
api_metadata_bytes: None,
server_output_id: server_output_id.map(|id| ServerOutputId::new(id.to_owned())),
suggestions: None,
telemetry_events: vec![],
model_info: model_used.map(|model| OutputModelInfo {
model_id: model.model_id.clone().into(),
display_name: model.model_display_name.clone(),
is_fallback: model.is_fallback,
}),
request_cost: None,
};
// There is a special case where an exchange consists of only ActionResults with no outputs
// (i.e. if a passive code diff is accepted and the agent doesn't follow up, which it shouldn't).
// In this case, we should not mark the exchange as cancelled.
let last_input_is_action_result = inputs
.last()
.map(|input| matches!(input, AIAgentInput::ActionResult { .. }))
.unwrap_or(false);
// Create exchange with finished status
let output_status = if outputs.is_empty() && !last_input_is_action_result {
AIAgentOutputStatus::Finished {
finished_output: FinishedAIAgentOutput::Cancelled {
output: None,
reason: CancellationReason::ManuallyCancelled,
},
}
} else if is_output_tool_call_canceled {
AIAgentOutputStatus::Finished {
finished_output: FinishedAIAgentOutput::Cancelled {
output: Some(Shared::new(ai_output)),
reason: CancellationReason::ManuallyCancelled,
},
}
} else {
AIAgentOutputStatus::Finished {
finished_output: FinishedAIAgentOutput::Success {
output: Shared::new(ai_output),
},
}
};
// Extract working directory from the first input that has a Directory context
let working_directory = inputs.iter().find_map(|input| {
input.context().and_then(|contexts| {
contexts.iter().find_map(|context| {
if let AIAgentContext::Directory { pwd, .. } = context {
pwd.clone()
} else {
None
}
})
})
});
// Use a default LLM ID for restored exchanges
let default_model_id = LLMId::from("auto");
Some(AIAgentExchange {
id: exchange_id,
input: inputs.to_vec(),
output_status,
start_time,
finish_time,
time_to_first_token_ms,
working_directory,
model_id: default_model_id.clone(),
request_cost: None,
coding_model_id: default_model_id.clone(),
cli_agent_model_id: default_model_id.clone(),
computer_use_model_id: default_model_id,
response_initiator: None,
added_message_ids: message_ids.iter().map(|s| s.clone().into()).collect(),
})
}
/// Compute the time to first token for an exchange from a sequence of server messages.
pub(crate) fn compute_time_to_first_token_ms_from_messages<'a, I>(
start_time: DateTime<Local>,
messages: I,
) -> Option<i64>
where
I: Iterator<Item = &'a api::Message>,
{
let first_output_time = messages
.filter_map(|message| {
let msg = message.message.as_ref()?;
match msg {
// Messages treated as inputs in create_exchange_from_messages
api::message::Message::UserQuery(_)
| api::message::Message::SystemQuery(_)
| api::message::Message::ToolCallResult(_)
| api::message::Message::UpdateTodos(_)
| api::message::Message::MessagesReceivedFromAgents(_)
| api::message::Message::EventsFromAgents(_)
| api::message::Message::PassiveSuggestionResult(_) => None,
// Anything else is considered agent/stream activity we want to measure
api::message::Message::AgentOutput(_)
| api::message::Message::AgentReasoning(_)
| api::message::Message::Summarization(_)
| api::message::Message::ToolCall(_)
| api::message::Message::ServerEvent(_)
| api::message::Message::UpdateReviewComments(_)
| api::message::Message::CodeReview(_)
| api::message::Message::WebSearch(_)
| api::message::Message::WebFetch(_)
| api::message::Message::DebugOutput(_)
| api::message::Message::ArtifactEvent(_)
| api::message::Message::InvokeSkill(_)
| api::message::Message::ModelUsed(_) => {
message.timestamp.as_ref().map(|timestamp| {
proto_timestamp_to_local_datetime(timestamp.seconds, timestamp.nanos)
})
}
}
})
.min()?;
if first_output_time < start_time {
return None;
}
Some(
first_output_time
.signed_duration_since(start_time)
.num_milliseconds()
.max(0),
)
}
impl From<api::ExecutedShellCommand> for BlockContext {
fn from(cmd: api::ExecutedShellCommand) -> Self {
BlockContext {
id: cmd.command_id.into(),
index: BlockIndex::from(0),
command: cmd.command,
output: cmd.output,
exit_code: ExitCode::from(cmd.exit_code),
is_auto_attached: cmd.is_auto_attached,
started_ts: cmd
.started_ts
.as_ref()
.map(|ts| proto_timestamp_to_local_datetime(ts.seconds, ts.nanos)),
finished_ts: cmd
.finished_ts
.as_ref()
.map(|ts| proto_timestamp_to_local_datetime(ts.seconds, ts.nanos)),
pwd: None,
shell: None,
username: None,
hostname: None,
git_branch: None,
os: None,
session_id: None,
}
}
}
/// Converts a persisted `PassiveSuggestionResult` message back to an
/// [`AIAgentInput::PassiveSuggestionResult`] so the trigger block information
/// is available after conversation restoration.
fn convert_passive_suggestion_result_to_input(
passive_result: &api::message::PassiveSuggestionResult,
) -> Option<AIAgentInput> {
let api_result = passive_result.result.as_ref()?;
let trigger = match &api_result.trigger {
Some(api::passive_suggestion_result_type::Trigger::ExecutedShellCommand(cmd)) => {
PassiveSuggestionTrigger::ShellCommandCompleted(ShellCommandCompletedTrigger {
executed_shell_command: Box::new(cmd.clone().into()),
// Relevant files are not persisted in the proto message.
relevant_files: vec![],
})
}
Some(api::passive_suggestion_result_type::Trigger::AgentResponseCompleted(_)) => {
// The exchange_id is not stored in the proto; use a placeholder.
PassiveSuggestionTrigger::AgentResponseCompleted {
exchange_id: AIAgentExchangeId::default(),
}
}
None => return None,
};
let suggestion = match &api_result.suggestion {
Some(api::passive_suggestion_result_type::Suggestion::Prompt(p)) => {
PassiveSuggestionResultType::Prompt {
prompt: p.prompt.clone(),
}
}
Some(api::passive_suggestion_result_type::Suggestion::CodeDiff(cd)) => {
PassiveSuggestionResultType::CodeDiff {
diffs: cd
.diffs
.iter()
.map(|d| PassiveCodeDiffEntry {
file_path: d.file_path.clone(),
search: d.search.clone(),
replace: d.replace.clone(),
})
.collect(),
summary: cd.summary.clone(),
accepted: cd.accepted,
}
}
None => return None,
};
let context = convert_input_context(passive_result.context.as_ref());
Some(AIAgentInput::PassiveSuggestionResult {
trigger: Some(trigger),
suggestion,
context,
})
}
fn proto_timestamp_to_local_datetime(seconds: i64, nanos: i32) -> DateTime<Local> {
let nanos = if nanos < 0 { 0 } else { nanos as u32 };
Local
.timestamp_opt(seconds, nanos)
.single()
.unwrap_or_else(|| Local.timestamp_opt(0, 0).unwrap())
}
impl From<String> for crate::ai::agent::MessageId {
fn from(s: String) -> Self {
crate::ai::agent::MessageId(s)
}
}
fn convert_api_platform(platform: i32) -> Option<computer_use::Platform> {
use api::request_computer_use_result::approved::Platform;
match Platform::try_from(platform) {
Ok(Platform::Macos) => Some(computer_use::Platform::Mac),
Ok(Platform::Windows) => Some(computer_use::Platform::Windows),
Ok(Platform::LinuxX11) => Some(computer_use::Platform::LinuxX11),
Ok(Platform::LinuxWayland) => Some(computer_use::Platform::LinuxWayland),
Err(_) => {
log::warn!("Unknown platform value: {platform}");
None
}
}
}
#[cfg(test)]
#[path = "convert_conversation_tests.rs"]
mod tests;
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