AI Agent Workflow State

An AI Agent Workflow State is an AI agent state that is a process state that represents AI agent task progress, AI agent execution context, and AI agent workflow variables.

• AKA: Agent Process State, Agent Task State, Agent Execution State.
• Context:
  • It can typically track AI Agent Current Step in multi-step processes.
  • It can typically store AI Agent Intermediate Results from completed tasks.
  • It can typically maintain AI Agent Execution Context through state variables.
  • It can typically preserve AI Agent Decision History via choice records.
  • It can typically contain AI Agent Resource Allocations for task execution.
  • ...
  • It can often include AI Agent Retry Counters for error handling.
  • It can often store AI Agent Performance Metrics for optimization.
  • It can often maintain AI Agent Dependency States for task coordination.
  • It can often track AI Agent Deadline Information for time management.
  • ...
  • It can range from being a Simple AI Agent Workflow State to being a Complex AI Agent Workflow State, depending on its AI agent workflow complexity.
  • It can range from being a Sequential AI Agent Workflow State to being a Parallel AI Agent Workflow State, depending on its AI agent execution model.
  • ...
  • It can be persisted by AI Agent State Checkpointer for workflow recovery.
  • It can be restored by AI Agent State Recovery Capability after interruption.
  • It can be coordinated with AI Agent Conversation State for unified context.
  • ...
• Example(s):
  • AI Agent Workflow Types, such as:
    • Document Processing AI Agent Workflow State with parsing progress and extraction results.
    • Data Analysis AI Agent Workflow State with computation stages and partial results.
    • Multi-Stage AI Agent Workflow State with pipeline position and stage outputs.
  • AI Agent Workflow Components, such as:
    • AI Agent Task Queue State for pending operations.
    • AI Agent Progress Tracker State for completion percentage.
    • AI Agent Error State for failure information.
  • ...
• Counter-Example(s):
  • Static Configuration State, which contains fixed settings rather than dynamic workflow progress.
  • User Session State, which tracks user information rather than AI agent task state.
  • System Resource State, which monitors hardware usage rather than AI agent workflow progress.
• See: AI Agent State Checkpointer, AI Agent Conversation State, AI Agent State Persistence Task, Workflow Management System.

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