Checkpoint: Phase 7 complete: Orchestrator Agent добавлен в /agents с меткой CROWN/SYSTEM, кнопками Configure и Open Chat. /chat читает конфиг оркестратора из БД (модель, промпт, инструменты). AgentDetailModal поддерживает isOrchestrator. 24 теста пройдены.

server/orchestrator.ts

@@ -443,13 +443,66 @@ Response style:
 
 You are running on a Linux server with Node.js, Docker, and full internet access.`;
 
+/**
+ * Load orchestrator config from DB.
+ * Returns { model, systemPrompt, allowedTools } from the agent with isOrchestrator=true.
+ * Falls back to defaults if not found.
+ */
+export async function getOrchestratorConfig(): Promise<{
+  id: number | null;
+  name: string;
+  model: string;
+  systemPrompt: string;
+  allowedTools: string[];
+  temperature: number;
+  maxTokens: number;
+}> {
+  try {
+    const db = await getDb();
+    if (!db) throw new Error("DB not available");
+    const [orch] = await db
+      .select()
+      .from(agents)
+      .where(eq(agents.isOrchestrator, true))
+      .limit(1);
+    if (orch) {
+      return {
+        id: orch.id,
+        name: orch.name,
+        model: orch.model,
+        systemPrompt: orch.systemPrompt ?? ORCHESTRATOR_SYSTEM_PROMPT,
+        allowedTools: (orch.allowedTools as string[]) ?? [],
+        temperature: parseFloat(orch.temperature ?? "0.5"),
+        maxTokens: orch.maxTokens ?? 8192,
+      };
+    }
+  } catch (err) {
+    console.error("[Orchestrator] Failed to load config from DB:", err);
+  }
+  // Fallback defaults
+  return {
+    id: null,
+    name: "Orchestrator",
+    model: "qwen2.5:7b",
+    systemPrompt: ORCHESTRATOR_SYSTEM_PROMPT,
+    allowedTools: [],
+    temperature: 0.5,
+    maxTokens: 8192,
+  };
+}
+
 export async function orchestratorChat(
   messages: OrchestratorMessage[],
-  model: string = "qwen2.5:7b",
+  model?: string,
   maxToolIterations: number = 10
 ): Promise<OrchestratorResult> {
   const toolCalls: ToolCallStep[] = [];
 
+  // Load config from DB — model and systemPrompt are configurable
+  const config = await getOrchestratorConfig();
+  const activeModel = model ?? config.model;
+  const activeSystemPrompt = config.systemPrompt;
+
   // Build conversation with system prompt
   const conversation: Array<{
     role: "system" | "user" | "assistant" | "tool" | "function";
@@ -457,14 +510,14 @@ export async function orchestratorChat(
     tool_call_id?: string;
     name?: string;
   }> = [
-    { role: "system", content: ORCHESTRATOR_SYSTEM_PROMPT },
+    { role: "system", content: activeSystemPrompt },
     ...messages.map((m) => ({ role: m.role, content: m.content })),
   ];
 
   let iterations = 0;
   let finalResponse = "";
   let lastUsage: any;
-  let lastModel: string = model;
+  let lastModel: string = activeModel;
 
   while (iterations < maxToolIterations) {
     iterations++;
@@ -480,7 +533,7 @@ export async function orchestratorChat(
     } catch (err: any) {
       // Fallback: try without tools if LLM doesn't support them
       try {
-        const fallbackResult = await chatCompletion(model, conversation as any, {
+        const fallbackResult = await chatCompletion(activeModel, conversation as any, {
           temperature: 0.7,
           max_tokens: 4096,
         });