wire llms, ui tweaks

mcp_servers/ops/server.py

@@ -100,17 +100,36 @@ def get_pending_rebookings(hub: str, limit: int = 20) -> list[dict]:
 
 
 @mcp.tool()
-def generate_narrative(context: dict) -> str:
+async def generate_narrative(context: dict) -> str:
     """Synthesizes aggregated operational context into a structured
     handover brief for ops managers.
 
-    Uses Claude Sonnet via AWS Bedrock Converse API.
+    Uses Claude via Anthropic SDK (or Bedrock when USE_BEDROCK=true).
     Output: prioritized, concise, structured by IMMEDIATE / MONITOR / FYI.
-
-    NOTE: In v1, this returns a structured template from the context data.
-    LLM integration will be added when Bedrock is wired up.
+    Falls back to template if no API key is configured.
     """
-    # V1: structured template — will be replaced with Bedrock call
+    try:
+        from mcp_servers.shared_llm import generate, _get_provider
+
+        hub = context.get("hub", "ALL")
+        shift_time = context.get("shift_time", datetime.now(timezone.utc).strftime("%H:%M UTC"))
+
+        system_prompt = (
+            f"You are an airline operations shift handover briefing system. "
+            f"Generate a concise handover brief for {hub} at {shift_time}. "
+            f"Structure as: HEADER, then IMMEDIATE ACTION (items needing action within 2h), "
+            f"MONITOR (items that could escalate), FYI (resolved or low-risk). "
+            f"Be concise — ops managers scan, they don't read paragraphs. "
+            f"Use the data provided. Do not invent details."
+        )
+        text = await generate(system_prompt, json.dumps(context, indent=2))
+        return json.dumps({"text": text, "provider": _get_provider()})
+    except Exception:
+        return json.dumps({"text": _template_narrative(context), "provider": "template"})
+
+
+def _template_narrative(context: dict) -> str:
+    """Structured template fallback when LLM is unavailable."""
     sections = []
     immediate = context.get("immediate", [])
     monitor = context.get("monitor", [])
@@ -119,8 +138,7 @@ def generate_narrative(context: dict) -> str:
     hub = context.get("hub", "ALL")
     shift_time = context.get("shift_time", datetime.now(timezone.utc).strftime("%H:%M UTC"))
 
-    header = f"SHIFT HANDOVER BRIEF — {hub} / {shift_time}"
-    sections.append(header)
+    sections.append(f"SHIFT HANDOVER BRIEF — {hub} / {shift_time}")
     sections.append(f"Generated: {datetime.now(timezone.utc).strftime('%H:%M UTC')}")
     sections.append("")