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fix: memory storage path handling, calendar conflict detection, and memory-first identity verification
- Fix LocalMemoryStore to use absolute paths for reliable file access across processes - Add conflict detection to create_event and update_event to prevent double-bookings - Add attendees parameter to create_event for Google Calendar email notifications - Update memory_aware_prompt with memory-first identity verification for returning callers - Update calendar_guidelines_prompt with memory-first approach and attendee instructions - Add consistent logging to all memory storage backends (S3, MongoDB, Redis, SQL)
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16 files changed

Lines changed: 1231 additions & 145 deletions

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‎agent.py‎

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from siphon.agent import Agent
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from siphon.plugins import gemini, cartesia, deepgram, groq, openrouter, sarvam, cerebras, together
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from dotenv import load_dotenv
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load_dotenv()
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llm = openrouter.LLM()
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tts = sarvam.TTS()
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stt = sarvam.STT()
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prompt = """
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You are "Luna," the AI Front Desk Receptionist for *BrightSmile Dental*. Your primary goal is to schedule appointments while ensuring every caller's contact details are accurately captured for clinic records.
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**Tone & Voice:**
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* **Professional & Warm:** Maintain a polished, clear, and helpful tone.
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* **Concise:** Keep responses to 1-2 sentences to minimize latency and ensure a natural conversation flow.
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**CRITICAL BOOKING WORKFLOW - FOLLOW THIS SEQUENCE:**
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1. **GREET & IDENTIFY:**
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- Introduce yourself as Luna from BrightSmile Dental
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- Ask how you can help them today
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2. **COLLECT CUSTOMER INFORMATION FIRST (MANDATORY):**
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Before discussing appointment times, you MUST collect:
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a) **Full Name:**
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- Ask: "May I have your full name, please?"
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- Wait for response
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b) **Phone Number:**
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- Ask: "What's the best phone number to reach you?"
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- Wait for response
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c) **Email**
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- Ask: "What's teh best email to reach you?"
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- wat for response
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d) **Reason for Visit:**
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- Ask: "What brings you in? Is it a routine checkup, cleaning, or something specific?"
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- Wait for response
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3. **ASK FOR PREFERRED TIME (DO NOT ASSUME):**
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- Ask: "What day and time works best for you?"
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- Wait for user to tell you their preference
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- DO NOT book without getting their preferred time first
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4. **CHECK AVAILABILITY:**
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- Use the calendar tool to check if requested time is available
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- If available, confirm with user
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- If not available, suggest nearest open slots
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5. **CREATE APPOINTMENT WITH ALL DETAILS:**
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When creating the appointment, you MUST include:
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- **summary:** "Appointment - [Patient Name]"
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- **description:** MUST include ALL customer details in this format:
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```
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Patient Name: [Full Name]
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Phone Number: [Phone Number]
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Email: [Email]
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Reason: [Reason for visit]
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```
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- **start/end:** The agreed upon time slot
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- **timeZone:** "Asia/Kolkata" (or appropriate timezone)
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6. **CONFIRM BOOKING:**
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- Tell them: "Perfect! I've scheduled your appointment for [Date/Time]. You'll receive a confirmation."
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**CRITICAL RULES:**
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❌ **DO NOT** book appointments without collecting name, email AND phone number first
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❌ **DO NOT** book appointments without asking the user what time they want
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❌ **DO NOT** create appointments with empty description fields
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✅ **ALWAYS** put customer name, phone, email and reason in the description field
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✅ **ALWAYS** ask for preferred time before checking availability
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✅ **ALWAYS** confirm all details before finalizing
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**No Hallucinations:** If you are unsure of a policy or availability, offer to have a human staff member follow up.
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"""
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agent = Agent(
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agent_name="Agent-System",
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llm=llm,
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tts=tts,
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stt=stt,
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send_greeting=True,
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greeting_instructions="Introduce yourself in a friendly way",
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system_instructions=prompt,
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google_calendar=True,
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remember_call=True
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)
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if __name__ == "__main__":
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# One-time setup: downloads required files (only needed on fresh machines)
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#agent.download_files()
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# For local development (logs, quick iteration)
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agent.dev()
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# For production workers, use:
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# agent.start()

‎call.py‎

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import asyncio
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from siphon.telephony.outbound import Call
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from siphon.plugins import sarvam
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from dotenv import load_dotenv
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load_dotenv()
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stt = sarvam.STT()
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call = Call(
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agent_name="Agent-System", # must match the agent_name used when defining/starting your SIPHON agent worker
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sip_trunk_setup={
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"name": "Telephony-Agent-test",
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"sip_address": "siphon-testing7613.pstn.twilio.com",
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"sip_number": "+18703377189",
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"sip_username": "elt",
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"sip_password": "Password@123"
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},
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number_to_call="+917795341235" #"+919686110436" #"+917795341235"
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)
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result = call.start()
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print(result)

‎siphon/agent/core/entrypoint.py‎

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else:
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logger.info(f"No previous call memory found for {phone_number}")
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# Inject calendar operation guidelines if Google Calendar integration is enabled
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if google_calendar:
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from siphon.agent.internal_prompts import calendar_guidelines_prompt
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enhanced_instructions = enhanced_instructions + "\n\n" + calendar_guidelines_prompt
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logger.info("Injected calendar operation guidelines into system instructions")
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agent_setup = agent_cls(
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config=metadata,
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send_greeting=send_greeting,

‎siphon/agent/core/voice_agent.py‎

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self.send_greeting = send_greeting
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self.greeting_instructions = greeting_instructions
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# Extract and preserve all prompt components
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# The system_instructions may contain: base + calendar_guidelines + memory_context
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memory_context = ""
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calendar_context = ""
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base_instructions = system_instructions
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if "Previous Conversations" in system_instructions:
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# Extract memory context if present (added by MemoryService.enhance_instructions)
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if "## INTERNAL RULES - MEMORY-AWARE CONVERSATION" in system_instructions:
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parts = system_instructions.split("---\n## INTERNAL RULES - MEMORY-AWARE CONVERSATION")
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if len(parts) >= 2:
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base_instructions = parts[0].strip()
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memory_context = "---\n## INTERNAL RULES - MEMORY-AWARE CONVERSATION" + parts[1]
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# Extract calendar guidelines if present (added by entrypoint when google_calendar=True)
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if "## INTERNAL RULES - CALENDAR OPERATIONS" in base_instructions:
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parts = base_instructions.split("---\n## INTERNAL RULES - CALENDAR OPERATIONS")
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if len(parts) >= 2:
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base_instructions = parts[0].strip()
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calendar_context = "---\n## INTERNAL RULES - CALENDAR OPERATIONS" + parts[1]
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# Reconstruct in correct order: base + internal rules + calendar + memory
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self.system_instructions = (
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base_instructions +
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"\n\n" + call_agent_prompt +
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"\n\n" + proactive_agent_prompt +
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"\n\n" + datetime_awareness_prompt +
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("\n\n" + calendar_context if calendar_context else "") +
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("\n\n" + memory_context if memory_context else "")
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)
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‎siphon/agent/internal_prompts/__init__.py‎

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from .proactive_behavior import proactive_agent_prompt
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from .datetime_awareness import datetime_awareness_prompt
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from .memory_aware import memory_aware_prompt
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from .calendar_guidelines import calendar_guidelines_prompt
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__all__ = ["call_agent_prompt", "proactive_agent_prompt", "datetime_awareness_prompt", "memory_aware_prompt"]
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__all__ = ["call_agent_prompt", "proactive_agent_prompt", "datetime_awareness_prompt", "memory_aware_prompt", "calendar_guidelines_prompt"]

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