feat(mma): Implement run_tier4_analysis in ai_client.py

ai_client.py

@@ -1764,6 +1764,43 @@ def _send_deepseek(md_content: str, user_message: str, base_dir: str,
         raise _classify_deepseek_error(e) from e
 
 
+def run_tier4_analysis(stderr: str) -> str:
+    """
+    Stateless Tier 4 QA analysis of an error message.
+    Uses gemini-2.5-flash-lite to summarize the error and suggest a fix.
+    """
+    if not stderr or not stderr.strip():
+        return ""
+
+    try:
+        _ensure_gemini_client()
+        prompt = (
+            f"You are a Tier 4 QA Agent specializing in error analysis.\n"
+            f"Analyze the following stderr output from a PowerShell command:\n\n"
+            f"```\n{stderr}\n```\n\n"
+            f"Provide a concise summary of the failure and suggest a fix in approximately 20 words."
+        )
+
+        # Use flash-lite for cost-effective stateless analysis
+        model_name = "gemini-2.5-flash-lite"
+
+        # We don't use the chat session here to keep it stateless
+        resp = _gemini_client.models.generate_content(
+            model=model_name,
+            contents=prompt,
+            config=types.GenerateContentConfig(
+                temperature=0.0,
+                max_output_tokens=150,
+            )
+        )
+
+        analysis = resp.text.strip()
+        return analysis
+    except Exception as e:
+        # We don't want to crash the main loop if QA analysis fails
+        return f"[QA ANALYSIS FAILED] {e}"
+
+
 # ------------------------------------------------------------------ unified send
 
 def send(