Stream model events to activity panel

frontend/app/app/api/chat/route.ts

@@ -32,13 +32,16 @@ type ClawChatResponse = {
 type ClawRuntimeEvent = {
 	type?: string;
 	run_id?: string;
+	tool_call_index?: number | null;
 	tool_name?: string;
 	tool_call_id?: string;
 	arguments?: unknown;
+	arguments_delta?: string;
 	assistant_content?: string;
 	metadata?: Record<string, unknown>;
 	ok?: boolean;
 	delta?: string;
+	finish_reason?: string | null;
 	elapsed_ms?: number;
 };
 
@@ -52,6 +55,7 @@ type StreamState = {
 	textStreamed: boolean;
 	phase: "waiting" | "queued" | "running" | "done";
 	runId?: string;
+	announcedToolCallKeys: Set<string>;
 };
 
 type ChatRequestBody = {
@@ -107,6 +111,7 @@ export async function POST(req: Request) {
 				textStarted: false,
 				textStreamed: false,
 				phase: "waiting",
+				announcedToolCallKeys: new Set<string>(),
 			};
 			writer.write({ type: "start" });
 			writer.write({ type: "start-step" });
@@ -491,6 +496,28 @@ function writeRuntimeEvent(
 			delta: `\n${phase}${elapsed}。`,
 		});
 	}
+	if (event.type === "content_delta" && event.delta) {
+		writer.write({
+			type: "reasoning-delta",
+			id: "reasoning-1",
+			delta: event.delta,
+		});
+	}
+	if (event.type === "tool_call_delta") {
+		const key =
+			event.tool_call_id ??
+			(event.tool_call_index === null || event.tool_call_index === undefined
+				? undefined
+				: `index:${event.tool_call_index}`);
+		if (key && !streamState?.announcedToolCallKeys.has(key)) {
+			streamState?.announcedToolCallKeys.add(key);
+			writer.write({
+				type: "reasoning-delta",
+				id: "reasoning-1",
+				delta: `\n准备调用 ${event.tool_name ?? "工具"}。`,
+			});
+		}
+	}
 	if (event.type === "final_text_start") {
 		if (!streamState?.textStarted) {
 			writer.write({ type: "text-start", id: "text-1" });

src/agent_runtime.py

@@ -692,7 +692,11 @@ class LocalCodingAgent:
                 self.last_run_result = result
                 return result
             try:
-                turn, turn_events = self._query_model(session, tool_specs)
+                turn, turn_events = self._query_model(
+                    session,
+                    tool_specs,
+                    stream_events=stream_events,
+                )
             except OpenAICompatError as exc:
                 if self._is_prompt_too_long_error(exc) and self._reactive_compact_session(
                     session,
@@ -700,7 +704,11 @@ class LocalCodingAgent:
                     turn_index=turn_index,
                 ):
                     try:
-                        turn, turn_events = self._query_model(session, tool_specs)
+                        turn, turn_events = self._query_model(
+                            session,
+                            tool_specs,
+                            stream_events=stream_events,
+                        )
                     except OpenAICompatError as retry_exc:
                         exc = retry_exc
                     else:
@@ -1479,6 +1487,8 @@ class LocalCodingAgent:
         self,
         session: AgentSessionState,
         tool_specs: list[dict[str, object]],
+        *,
+        stream_events: list[dict[str, object]] | None = None,
     ) -> tuple[AssistantTurn, tuple[StreamEvent, ...]]:
         if not self.runtime_config.stream_model_responses:
             turn = self.client.complete(
@@ -1520,7 +1530,10 @@ class LocalCodingAgent:
             tool_specs,
             output_schema=self.runtime_config.output_schema,
         ):
+            if stream_events is None:
                 events.append(event)
+            else:
+                stream_events.append(event.to_dict())
             if event.type == 'content_delta':
                 session.append_assistant_delta(assistant_index, event.delta)
             elif event.type == 'tool_call_delta':