How it works
Orchestration turns a broad goal into a task flow. A coordinator component can analyze the request, pick an agent, provide the necessary context and forward the response to the next step. The flow can also run independent activities in parallel and merge the results afterwards.
To work predictably, the system defines inputs and outputs for each step. It can record the goal, completed tasks, pending decisions and available tools. Attempt limits, permissions and stop conditions prevent the flow from repeating actions indefinitely or doing something out of scope.
Orchestration can be simple, with a fixed sequence, or more dynamic, with choices made based on the result received. A fixed sequence is easier to understand and test. A dynamic flow can handle more situations, but requires clear rules to explain why a task was routed to a particular agent.
Practical example
Imagine a team that uses agents to implement a small improvement in an app. The first agent turns the request into acceptance criteria. The second examines the files and proposes the change. A third runs tests and reports failures. Orchestration determines the order and what each agent should return.
If tests fail, the result can go back to the implementation agent with the error description. The flow needs to limit how many times this loop happens and record which changes were made. Before merging code, a person reviews the diff and decides if it meets the requirements.
Without this coordination, agents can receive different instructions, duplicate work or lose previous decisions. A shared state and messages with a defined format help preserve context, but they must also prevent an agent from treating unverified information from another as reliable.
What it is for
Orchestration is useful when work has distinct steps, requires different tools or benefits from review. It lets you organize specialist agents into an observable process, instead of relying on a long conversation without clear completion criteria.
It also makes it easier to define responsibilities: which tasks are automatic, which require approval and which data each agent can access. In a business flow, this helps separate preparation from a final decision. In software development, it can organize planning, editing and testing without removing the responsibility of whoever approves the change.
Orchestrating does not guarantee quality. A well built sequence can still propagate a wrong premise, and each handoff can add latency and failure points. Start with a small flow, check intermediate responses and compare with a single agent solution to confirm whether the complexity is worth it.
Difference between orchestrator and agents
An agent is the component that interprets a task and can use tools to produce a result. An orchestrator is the logic that organizes tasks, chooses routings and tracks the flow. In some products these functions may appear combined, but they remain different responsibilities.
The orchestrator does not need to be an AI model. It can follow explicit rules, call agents according to a sequence and validate exit conditions. Using rules for critical decisions makes the process more predictable and allows reserving models for tasks that really require language interpretation.