patterns

Multi-agent coordination requires reusable design templates that manage tool handlers, agent state, and task lifecycles. Langroid patterns provide these templates, reducing ad-hoc implementations and increasing reliability across agent interactions.

Task termination in multi-agent systems is controlled using done_sequences, which allow fine-grained task lifecycles across multiple tools. This mechanism ensures deterministic task endings based on tool emission and handler responses.

Automatic retries for failed tool calls are handled using stateful tool handlers and agent-side validation patterns. These mechanisms enable dependable retry logic by maintaining tool state and validating responses within multi-agent workflows.

Batch processing and MCP integrations scale multi-agent workflows by reusing patterns across multiple inputs and connecting to external tool ecosystems. This extends agent capabilities beyond isolated tasks to bulk processing environments.

To start building a multi-agent workflow, create a simple agent, enable a ToolMessage with a basic task, and observe how the task terminates or retries based on tool emission and handler responses.

Ad-hoc implementations for multi-agent task control lack precise termination handling and stateful tool validation, leading to unreliable workflows. Without structured patterns, coordinating tool usage and task lifecycles across agents becomes error-prone.