Agent Lifecycle

Overview

The Axicov SDK implements a sophisticated agent lifecycle management system that optimizes resource utilization while maintaining contextual continuity. This document outlines the complete lifecycle of an agent from initialization to state persistence.

Initialization Phase

Agent Configuration Establishment

• The system initializes the Agent toolset by integrating capabilities from connected clients and custom tools

• During initialization, two critical parameter sets are established:

  • params: Persistent configuration data defining the agent's core capabilities and identity

  • runtimeParams: Dynamic session data generated during initialization for runtime operation

• The fully configured Agent class definition (not an instance) is mapped to a unique thread identifier and stored in a thread-mapped repository

Tool Registry Population

• Available tools and toolsets are registered with their respective metadata

• Tool indices are assigned to enable selective activation during runtime

• Client-specific capabilities are integrated into the available tool ecosystem

Configuration Structure

Agents are configured with a structured parameter framework:

• agentId: Unique identifier enabling thread-specific operations

• params: Persistent configuration defining core capabilities and identity

• runtimeParams: Dynamic session data generated during initialization

• toolNumbers: Indices of tools or toolsets to be activated

• clients: Platform interfaces through which the agent operates

• tools: Available functional capabilities for agent use

Interaction Processing Phase

Message Reception and Analysis

• User sends a message to the system, which is received and associated with the appropriate thread identifier

• The message content is analyzed to determine intent, requirements, and execution context

Orchestration and Agent Instantiation

• The Orchestrator retrieves the thread-specific Agent class definition with its pre-established parameters

• Based on message analysis, the Orchestrator selects the appropriate subset of tools required for processing

• The Orchestrator dynamically instantiates a new Agent instance, applying:

  • The retrieved params and runtimeParams from initialization

  • The contextually selected tools and capabilities

  • Any additional runtime configurations required for the specific request

Cognitive Processing and Tool Execution

• The instantiated Agent processes user messages through its unified reasoning-action paradigm

• The Agent selects and executes appropriate tools based on context

• Tools perform their functions and return results

• The Agent integrates results into its reasoning to formulate comprehensive responses

Iterative Problem-Solving Cycle

The Agent operates through a continuous cycle of:

1. Processing incoming user messages to understand requirements

2. Analyzing available tools and capabilities within the current context

3. Formulating strategic approaches through LLM-based reasoning

4. Executing selected tools with appropriate parameters

5. Evaluating outcomes and refining subsequent actions

State Persistence Phase

Semantic Checkpoint Creation

The system generates a semantic checkpoint capturing the complete state of:

• Agent reasoning and decision patterns

• Tool execution results and intermediate data

• Contextual information and interaction history

Memory Isolation and Storage

• All generated data is segregated according to the unique agent identifier (agentId)

• The Semantic Checkpoint Saver persists this information in a structured, retrievable format

• Clear contextual boundaries ensure memory isolation between different agent instances

State Continuity Management

• The persistent storage enables seamless state restoration for subsequent interactions

• The system maintains temporal coherence through sequential checkpoint management

• Memory retrieval mechanisms ensure appropriate context is available for future processing

Continuous Operation Cycle

The workflow cycles continuously as new user messages are received:

• Each iteration builds upon the contextual foundation established by previous interactions

• Strict memory isolation is maintained between different agent threads

• The Orchestrator instantiates new agent instances for each interaction while preserving contextual continuity

Key Advantages

Resource Efficiency

• Agent instances are created only when needed rather than maintaining persistent instances

• The "just-in-time" agent activation model optimizes system resources

• Selective tool loading prevents unnecessary memory consumption

Scalability

• The architecture easily accommodates concurrent requests across multiple threads

• On-demand instantiation allows the system to scale with increasing load

• Memory isolation prevents resource contention between agent instances

Request Isolation

• Each user message is processed within its own agent instance

• Clean separation between different requests while maintaining thread continuity

• Contextual boundaries prevent cross-contamination between agent instances

Configuration Consistency

• Pre-established parameters ensure each newly instantiated agent inherits the correct configuration

• Thread-specific context is maintained across multiple interactions

• Parameter segregation enables personalized agent experiences

This lifecycle management approach enables the Axicov SDK to deliver sophisticated agent capabilities while maintaining optimal performance and scalability across diverse deployment scenarios.