Orchestration of AI Agent Tools: Context and Planning
Mikhail T. (Sh0ny)
25 июня 20261 min read
In short
Orchestrating the work of an AI agent goes beyond simply selecting tools—it requires building context, reading memory, and planning a sequence of steps. This article explores strategies for building context, selecting tools, and designing topologies for multi-step tasks.
When an AI agent has a set of tools at its disposal, the question arises of how to orchestrate them effectively. It’s not just a matter of invoking the right tool at the right moment—it’s essential to provide the correct context for each interaction with the model so that its actions are meaningful and effective.
What Is Orchestration
Orchestration is the process by which a system uses available resources to process user requests. For simple tasks, a single tool and minimal context are sufficient, but complex workflows require careful planning.
Key Elements
- Building a dynamic context—relevant information must be retrieved from the agent’s memory for each step.
- Tool Selection — the model must determine which tools to invoke and in what order.
- Execution and Scheduling — the sequence of actions and the topology of component interactions.
Why It’s Necessary
Proper orchestration allows agents to solve multi-step real-world tasks reliably and efficiently. Without it, complex scenarios quickly fail due to loss of context or incorrect choice of actions.
Source: Habr