Seed 20 Odoo+AI prospects and enforce model-only chat responses

Frontend/server/agent/langgraphCrmAgent.ts

@@ -856,30 +856,64 @@ export async function runLangGraphCrmAgentFor(input: {
     { recursionLimit: 30 },
   );
 
+  const extractText = (value: unknown, depth = 0): string => {
+    if (depth > 5 || value == null) return "";
+    if (typeof value === "string") return value.trim();
+    if (Array.isArray(value)) {
+      const parts = value
+        .map((item) => extractText(item, depth + 1))
+        .filter(Boolean);
+      return parts.join("\n").trim();
+    }
+    if (typeof value !== "object") return "";
+
+    const obj = value as Record<string, unknown>;
+    for (const key of ["text", "content", "answer", "output_text", "final_text"]) {
+      const text = extractText(obj[key], depth + 1);
+      if (text) return text;
+    }
+
+    if (Array.isArray(obj.parts)) {
+      const text = extractText(obj.parts, depth + 1);
+      if (text) return text;
+    }
+
+    return "";
+  };
+
+  const messageType = (msg: any): string => {
+    if (typeof msg?._getType === "function") {
+      try {
+        return String(msg._getType() ?? "");
+      } catch {
+        // ignore
+      }
+    }
+    return String(msg?.type ?? msg?.role ?? msg?.constructor?.name ?? "");
+  };
+
   const structured = res?.structuredResponse as { answer?: string; plan?: string[] } | undefined;
   const fallbackText = (() => {
     const messages = Array.isArray(res?.messages) ? res.messages : [];
     for (let i = messages.length - 1; i >= 0; i -= 1) {
       const msg = messages[i];
-      const type = String(msg?.type ?? "").toLowerCase();
-      if (type !== "ai") continue;
-      const content = msg?.content;
-      if (typeof content === "string" && content.trim()) return content.trim();
-      if (Array.isArray(content)) {
-        const text = content
-          .map((part: any) => (typeof part?.text === "string" ? part.text : ""))
-          .filter(Boolean)
-          .join("\n")
-          .trim();
-        if (text) return text;
-      }
+      const type = messageType(msg).toLowerCase();
+      if (!type.includes("ai") && !type.includes("assistant")) continue;
+      const text = extractText(msg?.content) || extractText(msg);
+      if (text) return text;
     }
-    return "";
+    return (
+      extractText(res?.output) ||
+      extractText(res?.response) ||
+      extractText(res?.finalResponse) ||
+      ""
+    );
   })();
-  const text = structured?.answer?.trim() || fallbackText || "Готово.";
-  const plan = Array.isArray(structured?.plan) && structured.plan.length
-    ? structured.plan
-    : ["Собрать данные", "Сформировать ответ"];
+  const text = structured?.answer?.trim() || fallbackText;
+  if (!text) {
+    throw new Error("Model returned empty response");
+  }
+  const plan = Array.isArray(structured?.plan) ? structured.plan : [];
 
   return {
     text,