feat(frontend): Update chat service and UI to support Orchestrator architecture and native subgraph streaming

frontend/src/components/chat/ExecutionStatus.tsx

@@ -9,9 +9,9 @@ interface ExecutionStatusProps {
 
 const PHASE_CONFIG = [
   { label: "Analyzing query...", match: "Query analysis complete." },
-  { label: "Generating strategic plan...", match: "Strategic plan generated." },
-  { label: "Writing analysis code...", match: "Analysis code generated." },
-  { label: "Performing data analysis...", match: "Data analysis and visualization complete." }
+  { label: "Generating high-level plan...", match: "Checklist generated." },
+  { label: "Delegating to specialists...", match: "Task assigned." },
+  { label: "Synthesizing final answer...", match: "Final synthesis complete." }
 ]
 
 export function ExecutionStatus({ steps, isComplete, className }: ExecutionStatusProps) {

frontend/src/services/chat.test.ts

@@ -3,21 +3,21 @@ import { ChatService, type ChatEvent, type MessageResponse } from "./chat"
 
 describe("ChatService SSE Parsing", () => {
   it("should correctly parse a text stream chunk", () => {
-    const rawChunk = `data: {"type": "on_chat_model_stream", "name": "summarizer", "data": {"chunk": "Hello"}}\n\n`
+    const rawChunk = `data: {"type": "on_chat_model_stream", "name": "synthesizer", "data": {"chunk": "Hello"}}\n\n`
     const events = ChatService.parseSSEChunk(rawChunk)
     
     expect(events).toHaveLength(1)
     expect(events[0]).toEqual({
       type: "on_chat_model_stream",
-      name: "summarizer",
+      name: "synthesizer",
       data: { chunk: "Hello" }
     })
   })
 
   it("should handle multiple events in one chunk", () => {
     const rawChunk = 
-      `data: {"type": "on_chat_model_stream", "name": "summarizer", "data": {"chunk": "Hello"}}\n\n` +
-      `data: {"type": "on_chat_model_stream", "name": "summarizer", "data": {"chunk": " World"}}\n\n`
+      `data: {"type": "on_chat_model_stream", "name": "synthesizer", "data": {"chunk": "Hello"}}\n\n` +
+      `data: {"type": "on_chat_model_stream", "name": "synthesizer", "data": {"chunk": " World"}}\n\n`
     
     const events = ChatService.parseSSEChunk(rawChunk)
     
@@ -25,8 +25,8 @@ describe("ChatService SSE Parsing", () => {
     expect(events[1].data!.chunk).toBe(" World")
   })
 
-  it("should parse encoded plots from executor node", () => {
-    const rawChunk = `data: {"type": "on_chain_end", "name": "executor", "data": {"encoded_plots": ["base64data"]}}\n\n`
+  it("should parse encoded plots from data_analyst_worker node", () => {
+    const rawChunk = `data: {"type": "on_chain_end", "name": "data_analyst_worker", "data": {"encoded_plots": ["base64data"]}}\n\n`
     const events = ChatService.parseSSEChunk(rawChunk)
     
     expect(events[0].data!.encoded_plots).toEqual(["base64data"])
@@ -45,7 +45,7 @@ describe("ChatService Message State Management", () => {
     const messages: MessageResponse[] = [{ id: "1", role: "assistant", content: "Initial", created_at: new Date().toISOString() }]
     const event: ChatEvent = {
       type: "on_chat_model_stream",
-      node: "summarizer",
+      node: "synthesizer",
       data: { chunk: { content: " text" } }
     }
     
@@ -57,7 +57,7 @@ describe("ChatService Message State Management", () => {
     const messages: MessageResponse[] = [{ id: "1", role: "assistant", content: "Analysis", created_at: new Date().toISOString(), plots: [] }]
     const event: ChatEvent = {
       type: "on_chain_end",
-      name: "executor",
+      name: "data_analyst_worker",
       data: { encoded_plots: ["plot1"] }
     }
     

frontend/src/services/chat.ts

@@ -86,7 +86,8 @@ export const ChatService = {
     const { type, name, node, data } = event
     
     // 1. Handle incremental LLM chunks for terminal nodes
-    if (type === "on_chat_model_stream" && (node === "summarizer" || node === "researcher" || node === "clarification")) {
+    // Now using 'synthesizer' for the final user response
+    if (type === "on_chat_model_stream" && (node === "synthesizer" || node === "clarification")) {
       const chunk = data?.chunk?.content || ""
       if (!chunk) return messages
       
@@ -110,7 +111,7 @@ export const ChatService = {
       if (!lastMsg || lastMsg.role !== "assistant") return messages
 
       // Terminal nodes final text
-      if (name === "summarizer" || name === "researcher" || name === "clarification") {
+      if (name === "synthesizer" || name === "clarification") {
         const messages_list = data?.output?.messages
         const msg = messages_list ? messages_list[messages_list.length - 1]?.content : null
         
@@ -121,8 +122,8 @@ export const ChatService = {
         }
       }
 
-      // Plots from executor
-      if (name === "executor" && data?.encoded_plots) {
+      // Plots from data analyst worker
+      if (name === "data_analyst_worker" && data?.encoded_plots) {
         lastMsg.plots = [...(lastMsg.plots || []), ...data.encoded_plots]
         // Filter out the 'active' step and replace with 'complete'
         const filteredSteps = (lastMsg.steps || []).filter(s => s !== "Performing data analysis...");
@@ -134,15 +135,25 @@ export const ChatService = {
       // Status for intermediate nodes (completion)
       const statusMap: Record<string, string> = {
         "query_analyzer": "Query analysis complete.",
-        "planner": "Strategic plan generated.",
-        "coder": "Analysis code generated."
+        "planner": "Checklist generated.",
+        "delegate": "Task assigned.",
+        "reflector": "Result verified.",
+        "coder": "Analysis code generated.",
+        "executor": "Code execution complete.",
+        "searcher": "Web search complete.",
+        "summarizer": "Task summary generated."
       }
 
       if (name && statusMap[name]) {
         // Find and replace the active status if it exists
         const activeStatus = name === "query_analyzer" ? "Analyzing query..." : 
-                           name === "planner" ? "Generating strategic plan..." : 
-                           name === "coder" ? "Writing analysis code..." : null;
+                           name === "planner" ? "Generating high-level plan..." : 
+                           name === "delegate" ? "Routing task..." :
+                           name === "reflector" ? "Evaluating results..." :
+                           name === "coder" ? "Writing analysis code..." :
+                           name === "executor" ? "Executing code..." :
+                           name === "searcher" ? "Searching web..." :
+                           name === "summarizer" ? "Summarizing results..." : null;
         
         let filteredSteps = lastMsg.steps || [];
         if (activeStatus) {
@@ -159,9 +170,13 @@ export const ChatService = {
     if (type === "on_chain_start") {
       const startStatusMap: Record<string, string> = {
         "query_analyzer": "Analyzing query...",
-        "planner": "Generating strategic plan...",
+        "planner": "Generating high-level plan...",
+        "delegate": "Routing task...",
+        "reflector": "Evaluating results...",
         "coder": "Writing analysis code...",
-        "executor": "Performing data analysis..."
+        "executor": "Executing code...",
+        "searcher": "Searching web...",
+        "summarizer": "Summarizing results..."
       }
 
       if (name && startStatusMap[name]) {