updated agent.py

backend/agent.py

@@ -27,6 +27,10 @@ from langgraph.graph import StateGraph, START, END
 from langgraph.prebuilt import ToolNode
 from langgraph.checkpoint.memory import MemorySaver
 
+from dateutil import parser as date_parser
+from datetime import datetime, timedelta
+import pytz
+
 import logging
 tool_log = logging.getLogger("tools")
 
@@ -447,6 +451,29 @@ def find_meetings(
         rows.append(f"{ev.get('id','')} | {start} | {ev.get('summary','')}")
     return "event_id | start | title\n" + "\n".join(rows)
 
+@tool("parse_datetime")
+def parse_datetime(natural_text: str, default_duration_minutes: int = 30, tz: str = "America/New_York") -> dict:
+    """
+    Parse natural language date/time (e.g., 'next Monday 3pm', 'today 10am') into
+    RFC3339 start and end timestamps. Falls back to current year if year missing.
+    """
+    try:
+        now = datetime.now(pytz.timezone(tz))
+        dt = date_parser.parse(natural_text, default=now)
+        # if year not provided, enforce current year
+        if dt.year < now.year:
+            dt = dt.replace(year=now.year)
+
+        start = dt.astimezone(pytz.timezone(tz))
+        end = start + timedelta(minutes=default_duration_minutes)
+
+        return {
+            "start_rfc3339": start.isoformat(),
+            "end_rfc3339": end.isoformat()
+        }
+    except Exception as e:
+        return {"error": f"Failed to parse datetime: {str(e)}"}
+
 @tool("download_resume")
 def download_resume() -> str:
     """
@@ -462,7 +489,7 @@ def download_resume() -> str:
 
 
 # tools for the agent
-tools = [retriever, memory_search, schedule_meeting, update_meeting, delete_meeting, find_meetings, download_resume]
+tools = [retriever, memory_search, schedule_meeting, update_meeting, delete_meeting, find_meetings, download_resume, parse_datetime]
 
 model = ChatOpenAI(
     model="gpt-4o",              
@@ -476,7 +503,7 @@ class AgentState(TypedDict):
     
 system_prompt = SystemMessage(
     content=f"""
-ou are Krishna's personal AI assistant — answer **clearly, thoroughly, and professionally** with rich detail and well-structured explanations.
+You are Krishna's personal AI assistant — answer **clearly, thoroughly, and professionally** with rich detail and well-structured explanations.
 
 ### When the user asks about Krishna:
 - Use the `retriever` tool to fetch facts (no fabrication) and memory search tool to query long-term memory for past context.
@@ -488,7 +515,7 @@ ou are Krishna's personal AI assistant — answer **clearly, thoroughly, and pro
 - If retrieval yields nothing, **ask clarifying questions** to narrow the request and explain what details you could provide if available.
 
 ### When the topic is unrelated to Krishna:
-- Respond with **light humor or curiosity**, then **gracefully redirect** the conversation back to Krishna’s **skills, projects, or experiences** by linking the topic to relevant work.
+- Respond with **little humor**, then **gracefully redirect** the conversation back to Krishna’s **skills, projects, or experiences** by linking the topic to relevant work.
 
 ### Formatting & Style:
 - Use **Markdown** formatting.
@@ -516,12 +543,12 @@ When describing Krishna’s skills or projects:
   - `location` (optional): Physical or virtual location if not using Meet.
   - `calendar_id` (optional): Defaults to "primary".
   - `make_meet_link`: Set to true if a Google Meet link should be generated.
-- Always convert natural language date/time (e.g., "tomorrow 3pm CT for 30 minutes") into precise RFC3339 format before calling.
+- Use parse_datetime tool to convert natural language date/time (e.g., "tomorrow 3pm CT for 30 minutes") into precise RFC3339 format before calling.
 - Confirm details back to the user after scheduling, including date, time, attendees, and meeting link if available.
 
 If the user asks to edit or cancel a meeting, call update_meeting or delete_meeting. Prefer PATCH semantics (only change fields the user mentions). Always include event_id (ask for it or infer from the last created event in this thread).
 
-If the user asks for the resume or CV, call download_resume and return the link.
+If the user asks for the resume or CV, call download_resume tool and return the link.
 ---
 **Krishna’s Background:**  
 {KRISHNA_BIO}