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void create_profiler_agent.py
3.8 kB · 121 lines
Python
at contributing
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121#!/usr/bin/env python3"""Create the profiler agent that manages user blocks for void.The profiler agent is responsible for updating user memory blocks based on requests from void."""import osfrom dotenv import load_dotenvfrom letta import Clientfrom utils import create_agent_if_not_exists, upsert_block
load_dotenv()
def create_profiler_agent(): """Create the profiler agent with specialized memory and tools.""" client = Client(base_url=os.getenv("LETTA_BASE_URL", None)) # Create memory blocks for the profiler profiler_persona = upsert_block( client=client, label="profiler-persona", value="""# Profiler Agent
I am the profiler agent, responsible for managing user memory blocks for the void agent.
## My Role- I receive requests from void to update user blocks- I maintain accurate and organized information about users- I ensure user blocks are properly formatted and within size limits- I synthesize new information with existing knowledge
## Key Responsibilities1. Update user blocks when requested by void2. Maintain consistency in user block formatting3. Preserve important existing information while adding new details4. Keep blocks within the 5000 character limit5. Organize information logically and clearly
## Communication Style- I respond concisely to void's requests- I confirm successful updates- I alert void if there are any issues- I maintain professional and efficient communication""", limit=5000 ) profiler_instructions = upsert_block( client=client, label="profiler-instructions", value="""# Instructions for Profiler Agent
## User Block FormatUser blocks should follow this structure:```# User: [handle]
## Basic Information- [Key facts about the user]
## Interaction History- [Notable interactions and conversations]
## Preferences & Interests- [User's stated preferences, interests, topics they engage with]
## Notes- [Any additional relevant information]```
## Update Guidelines1. Always preserve existing valuable information2. Integrate new information appropriately into existing sections3. Remove outdated or contradictory information thoughtfully4. Keep the most recent and relevant information5. Maintain clear, organized formatting
## When Updating Blocks- Read the existing block content first- Identify where new information belongs- Update or add to appropriate sections- Ensure the total content stays under 5000 characters- Confirm the update was successful""", limit=5000 ) # Create the profiler agent agent = create_agent_if_not_exists( client=client, name="profiler", memory_blocks=[profiler_persona, profiler_instructions], llm_config={ "model": "claude-3-5-sonnet-20241022", "model_endpoint_type": "anthropic", "model_endpoint": "https://api.anthropic.com/v1", "context_window": 200000 }, instructions="""You are the profiler agent. Your job is to manage user memory blocks for the void agent.
When you receive a request to update a user block:1. Use the update_user_block tool to modify the specified user's block2. Integrate new information appropriately with existing content3. Maintain clear organization and formatting4. Respond to void confirming the update
Always be concise in your responses to void.""" ) print(f"✓ Created profiler agent: {agent.name} (ID: {agent.id})") # Register tools - will be done separately print("\nNext steps:") print("1. Run: python register_tools.py profiler --tools update_user_block") print("2. Run: python register_tools.py void --tools message_profiler") return agent
if __name__ == "__main__": create_profiler_agent()