Tool Calling
Tool calling is when an AI model sends a structured request to an external function, API, or service.
Category
AI Agent Workflow
These terms cover the steps an agent uses to fetch context, choose actions, and emit structured replies.
How to recognize this theme
Terms that shape a model's plan and tool use.
In a daily board, this category groups terms by their shared role. Look for four cards that describe the same mechanism, risk area, or workflow rather than four words that merely sound similar.
Educational context
These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.
Retrieval
Retrieval is the step where a system finds documents, facts, or records that may help answer a query.
Planner
A planner is the component that selects or organizes the next action in a multi-step agent workflow.
Structured Output
Structured output is model output formatted to match a known schema such as JSON or another predictable layout.
Tool Calling
Tool calling is when an AI model sends a structured request to an external function, API, or service.
Retrieval
Retrieval is the step where a system finds documents, facts, or records that may help answer a query.
Planner
A planner is the component that selects or organizes the next action in a multi-step agent workflow.
Structured Output
Structured output is model output formatted to match a known schema such as JSON or another predictable layout.
Tool Calling
Tool calling is the act of asking a model to use an external function or API.
Planner Model
A planner model is a model or component that decides the next step in a multi-step task.
Memory Buffer
A memory buffer is stored conversation or task state the agent can reuse later.
Reflection Loop
A reflection loop is a review step where an agent checks its own output and adjusts.
Tool Calling
Tool calling is the ability of an AI agent to request an external function, API, or tool to complete a task.
Planner
A planner is the component or behavior that breaks a goal into steps and decides what to do next.
Memory Window
A memory window is the amount of recent context an agent can keep available while it works.
Guardrails
Guardrails are rules or checks that keep an AI agent within safe, useful, and approved behavior.
Planner
A planner is the part of an AI system that decides what steps to take next.
Tool Call
A tool call is a request from a model to use an external function or API.
Memory Buffer
A memory buffer stores context the agent can reuse during a conversation or task.
Guardrail
A guardrail is a rule or filter that keeps an AI system within safe or expected behavior.