Agentic Systems Glossary
Last updated: 2026-06-24
Action Environment Gap
Definition: The difference between what a language model can describe in text and what it can actually execute in a real-world environment. Sources:
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Agent State Checkpointing
Definition: A technique to preserve state at critical points to prevent full workflow restarts after failures. Sources:
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Agent Substitutability
Definition: A design principle where agents conforming to a shared protocol can handle tasks interchangeably, promoting modularity. Sources:
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Agentic Systems
Definition: Systems that autonomously pursue goals by perceiving context, selecting actions, invoking tools, and iterating on results. Sources:
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Ambiguous Goal
Definition: A high-level objective lacking specific definition, creating multiple valid interpretations and misalignment risks. Sources:
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Assume and Process Strategy
Definition: A strategy for handling ambiguity where an agent makes a reasonable inference and continues execution without human clarification. Sources:
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Audit Logging
Definition: Structured logging of agent handoff events to provide the observability needed to diagnose failures. Sources:
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Authority Boundaries
Definition: The scope of a sub-agent’s permissions and access, guided by the Principle of Least Privilege. Sources:
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CCAF Framework
Definition: A method to mitigate risks associated with designing and building agentic systems. Sources:
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Chatbots
Definition: Stateless conversational systems that cannot perform actions in the real world. Sources:
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Clarify First Strategy
Definition: A cautious approach to handling ambiguity where an agent pauses execution to seek information from a human. Sources:
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Context Capacity
Definition: The amount of information (instructions, history, tool results) a language model can hold in its context window at one time. Sources:
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Context Isolation
Definition: A design principle where sub-agents start with a “blank” context and only see information explicitly handed over by the orchestrator. Sources:
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Decomposed Task
Definition: A sub-task broken down from a larger, more complex goal, designed to be independently retryable, delegatable, and testable. Sources:
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Dependency Graph
Definition: A directed acyclic graph (DAG) used to model the relationships between subtasks in a complex workflow, making the order of operations explicit. Sources:
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- task-decomposition
- sequential-pipeline
- parallel-execution
- true-vs-artificial-dependency
- orchestrator-agentic
Deterministic Workflows
Definition: Fixed sequences of steps designed by developers, providing predictability and control. Sources:
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Dynamic Planning
Definition: The ability of an agent to adapt its plan during execution based on real-time observations from its environment. Sources:
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Dynamic Replanning
Definition: The process of revising a plan mid-execution in response to failures or environment changes. Sources:
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Error Propagation
Definition: The process of surfacing sub-agent failures back to the orchestrator to enable intelligent error management. Sources:
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Error Threshold
Definition: A safety mechanism that stops an agent’s execution loop after a certain number of errors occur. Sources:
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Escalation
Definition: A loop control mechanism where an agent passes a problem it cannot solve to a human operator or fallback system. Sources:
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Evaluator Optimizer
Definition: A workflow pattern using a generate-evaluate-refine cycle to close quality gaps in an agent’s output. Sources:
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False Parallelism
Definition: An anti-pattern where tasks with hidden dependencies are treated as independent and run in parallel, causing hazards. Sources:
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Four-Phase Lifecycle of a Tool Call
Definition: The fundamental mechanic of agent interaction: Decision, Execution, Observation, Feedback. Sources:
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Goal Drift
Definition: A risk where an agent revises its plan to overcome obstacles but strays from its original goals. Sources:
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