Migrate Rig tool flow to domain runtime

This commit is contained in:
2026-08-04 14:14:51 -05:00
parent 4c7270db8d
commit 91d8bd0381
34 changed files with 2728 additions and 374 deletions
+139 -61
View File
@@ -4,13 +4,14 @@ use futures::channel::oneshot;
use futures::{FutureExt, StreamExt};
use galaxy_agent_core::{
turn_control, AgentError, AgentEvent, AgentRuntime, MessageContent, MessageRole, StopReason,
TurnCommand, TurnRequest, Usage,
ToolCall, ToolCallDecision, ToolEvent, ToolPolicy, ToolResult, TurnCommand, Usage,
};
use galaxy_agent_rig::{OpenAICompatibleRuntime, OpenAICompatibleRuntimeConfig};
use uuid::Uuid;
use warp_multi_agent_api::response_event::stream_finished;
use warp_multi_agent_api::{self as api, ClientAction, ResponseEvent};
use warp_multi_agent_api::{self as api, ClientAction, ResponseEvent, ToolType};
use super::rig_request::{prepare_rig_turn, PreparedRigTurn};
use crate::ai::agent::api::{Event, RequestParams, ResponseStream};
use crate::ai::bedrock::response_translator::{
build_add_agent_output_message, build_append_text, build_create_task, build_stream_init,
@@ -18,56 +19,30 @@ use crate::ai::bedrock::response_translator::{
};
use crate::ai::openai::client::OpenAIClientConfig;
use crate::ai::openai::response_translator::{build_stream_finished, StreamUsage};
use crate::ai::openai::translator::{prepare_turn, PreparedTurn, TranslatorRequest};
use crate::ai::provider::types::ConversationMessage;
use crate::ai::provider::types::{ContentPart, ConversationMessage};
use crate::server::server_api::AIApiError;
pub(crate) fn rig_openai_response_stream(
config: OpenAIClientConfig,
params: RequestParams,
request: &mut api::Request,
supported_tools: Vec<ToolType>,
supported_cli_agent_tools: Vec<ToolType>,
cancellation_rx: oneshot::Receiver<()>,
) -> ResponseStream {
let translator_request = TranslatorRequest {
config: config.clone(),
model_id: params.model.as_str().to_string(),
root_task_id: params.root_task_id,
message_history: params.bedrock_message_history,
tool_result_archive: params.bedrock_tool_result_archive,
progressive_summary: params.bedrock_progressive_summary,
messages_sent: params.bedrock_messages_sent,
global_rules: params.global_rules,
};
let PreparedTurn {
let PreparedRigTurn {
task_id,
needs_create_task,
user_query,
messages,
system_prompt,
tools: _,
model_id,
persistent_message_count,
} = prepare_turn(&translator_request, request);
request: turn_request,
persistent_messages,
tool_result_archive,
messages_sent,
} = prepare_rig_turn(&config, params, supported_tools, supported_cli_agent_tools);
store_messages_sent(&messages_sent, &persistent_messages);
store_messages_sent(
&translator_request.messages_sent,
&messages,
persistent_message_count,
);
let conversation_id = request
.metadata
.as_ref()
.map(|metadata| metadata.conversation_id.clone())
.filter(|id| !id.is_empty());
let mut turn_request = TurnRequest::new(model_id.clone(), messages);
turn_request.conversation_id = conversation_id.clone();
turn_request.system_prompt = system_prompt;
// Phase 2 deliberately validates the model streaming seam. Galaxy tool
// execution moves behind AgentRuntime in Phase 3; exposing the legacy tool
// list here would split ownership across both systems.
turn_request.tools = Vec::new();
turn_request.max_output_tokens = config.max_output_tokens.map(u64::from);
let conversation_id = turn_request.conversation_id.clone();
let model_id = turn_request.model.as_str().to_string();
let tool_policy = ToolPolicy::new(&turn_request.tools);
let runtime = OpenAICompatibleRuntime::new(OpenAICompatibleRuntimeConfig {
base_url: config.base_url,
@@ -76,7 +51,6 @@ pub(crate) fn rig_openai_response_stream(
max_output_tokens: config.max_output_tokens.map(u64::from),
supports_system_messages: config.supports_system_messages,
});
let messages_sent = translator_request.messages_sent;
let max_context_tokens = config.max_input_tokens;
let stream = async_stream::stream! {
let (control_sender, control) = turn_control();
@@ -110,6 +84,8 @@ pub(crate) fn rig_openai_response_stream(
let mut current_text_message_id: Option<String> = None;
let mut current_reasoning_message_id: Option<String> = None;
let mut full_text = String::new();
let mut proposed_tools = Vec::new();
let mut assistant_history_index = None;
let mut usage = Usage::default();
loop {
@@ -163,11 +139,57 @@ pub(crate) fn rig_openai_response_stream(
}
}
AgentEvent::UsageUpdated { usage: updated } => usage = updated,
AgentEvent::Tool {
event: ToolEvent::Proposed { call },
} => {
proposed_tools.push(call.clone());
sync_assistant_turn(
&messages_sent,
&full_text,
&proposed_tools,
&mut assistant_history_index,
);
let history = messages_sent
.lock()
.map(|sent| sent.clone())
.unwrap_or_default();
match tool_policy.decide(&call, &history, &tool_result_archive) {
ToolCallDecision::Execute => {
yield Ok(build_tool_proposed(&task_id, &call));
}
ToolCallDecision::Inline(result) => {
append_tool_result(&messages_sent, result);
}
ToolCallDecision::Reject(result) => {
log::warn!(
"Rig model called unavailable tool '{}' (id={})",
call.name,
call.id
);
let error_display = format!(
"Failed tool call: `{}`\n\n{}",
call.name, result.content
);
append_tool_result(&messages_sent, result);
let message_id = Uuid::new_v4().to_string();
yield Ok(build_add_agent_output_message(
&task_id,
&message_id,
&error_display,
));
}
}
}
AgentEvent::TurnStopped { reason } => {
if !initialized {
yield Ok(build_stream_init(&request_id, &conversation_id));
}
store_assistant_text(&messages_sent, full_text);
sync_assistant_turn(
&messages_sent,
&full_text,
&proposed_tools,
&mut assistant_history_index,
);
yield Ok(build_stream_finished(
map_stop_reason(reason),
StreamUsage {
@@ -184,13 +206,10 @@ pub(crate) fn rig_openai_response_stream(
));
return;
}
AgentEvent::ToolProposed { .. }
| AgentEvent::PermissionRequested { .. }
| AgentEvent::ToolStarted { .. }
| AgentEvent::ToolCompleted { .. } => {
AgentEvent::Tool { .. } => {
yield Err(agent_error(AgentError::new(
galaxy_agent_core::AgentErrorKind::Protocol,
"the Phase 2 Rig runtime emitted a tool event while tools are disabled",
"the provider runtime attempted to execute a tool outside Galaxy's permission boundary",
)));
return;
}
@@ -206,31 +225,90 @@ pub(crate) fn rig_openai_response_stream(
fn store_messages_sent(
messages_sent: &std::sync::Arc<std::sync::Mutex<Vec<ConversationMessage>>>,
messages: &[ConversationMessage],
persistent_message_count: usize,
) {
let Ok(mut sent) = messages_sent.lock() else {
return;
};
if persistent_message_count > 0 && messages.len() >= persistent_message_count {
*sent = messages[messages.len() - persistent_message_count..].to_vec();
} else {
*sent = messages.to_vec();
*sent = messages.to_vec();
}
fn append_tool_result(
messages_sent: &std::sync::Arc<std::sync::Mutex<Vec<ConversationMessage>>>,
result: ToolResult,
) {
let is_error = result.is_error();
let message = ConversationMessage {
role: MessageRole::User,
content: MessageContent::ToolResult {
tool_use_id: result.call_id,
content: result.content,
is_error,
},
};
if let Ok(mut sent) = messages_sent.lock() {
sent.push(message);
}
}
fn store_assistant_text(
fn sync_assistant_turn(
messages_sent: &std::sync::Arc<std::sync::Mutex<Vec<ConversationMessage>>>,
text: String,
text: &str,
tool_calls: &[ToolCall],
history_index: &mut Option<usize>,
) {
if text.is_empty() {
let mut parts = Vec::with_capacity(usize::from(!text.is_empty()) + tool_calls.len());
if !text.is_empty() {
parts.push(ContentPart::Text(text.to_string()));
}
parts.extend(tool_calls.iter().map(|call| ContentPart::ToolUse {
tool_use_id: call.id.clone(),
name: call.name.clone(),
input: call.arguments.clone(),
}));
if parts.is_empty() {
return;
}
if let Ok(mut sent) = messages_sent.lock() {
sent.push(ConversationMessage {
role: MessageRole::Assistant,
content: MessageContent::Text(text),
});
let content = if parts.len() == 1 {
match parts.pop().unwrap() {
ContentPart::Text(text) => MessageContent::Text(text),
ContentPart::ToolUse {
tool_use_id,
name,
input,
} => MessageContent::ToolUse {
tool_use_id,
name,
input,
},
ContentPart::Image { .. } | ContentPart::ToolResult { .. } => unreachable!(),
}
} else {
MessageContent::MultiPart(parts)
};
let message = ConversationMessage {
role: MessageRole::Assistant,
content,
};
let Ok(mut sent) = messages_sent.lock() else {
return;
};
if let Some(index) = *history_index {
if index < sent.len() {
sent[index] = message;
return;
}
}
*history_index = Some(sent.len());
sent.push(message);
}
fn build_tool_proposed(task_id: &str, call: &ToolCall) -> ResponseEvent {
let arguments = serde_json::to_string(&call.arguments).unwrap_or_else(|_| "{}".to_string());
crate::ai::bedrock::response_translator::build_tool_call_message(
task_id, &call.id, &call.name, &arguments,
)
}
fn build_add_reasoning(task_id: &str, message_id: &str, text: &str) -> ResponseEvent {