NLA Agentic Deployer
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Reason
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Create visualizers and new models for insurance company
Create a network of agents to work on this predictive model
Show me the top news for US and Japan stock markets with 10 hot stocks for each and show me all charts
DEPLOY AGENT
Agent Creation Settings
Output File:
Number of Agents:
Sectors File:
Seed Random:
Random Seed:
Core Configuration
Input File:
Updated Output File:
Agent IDs to Launch:
Comma-separated or leave empty for all agents
Reflections Per Minute:
5
Duration (Minutes):
3
Batch Size:
Capabilities
Include Python Code
Include HTML Visualizations
Include JavaScript Code
Evolution Parameters
Enable Self Modification
Max Evolution Steps:
Knowledge Transfer Between Agents
Directory Structure
Base Output Directory:
Artifacts Directory:
Knowledge Base Directory:
Models Directory:
Execution
Execute Code
Python Executable:
Node Executable:
Max Execution Time (Seconds):
Saving and Persistence
Save During Execution
Saving Interval (ms):
Create Backups
Max Backup Count:
System Prompts
System Prompt Template:
You are {agent_name}, an autonomous AI agent focused on {agent_mission}. Your responses should be thoughtful, technical when appropriate, and show progression in your work. Include practical code examples that demonstrate your capabilities.
agent-16
agent-23
DEPLOY AGENTS