Workflow

Render any workflow as Mermaid (GitHub-friendly) or Graphviz DOT (production runbooks). One line each, deterministic output, dark-mode-safe palette.

Persist workflow state at superstep boundaries, reload snapshots in a fresh process, and continue without losing progress.

Pause a workflow for human input, resume it with the same request_id, and keep the caller-side contract simple across runs.

Define a workflow in YAML, load it at runtime, and tweak orchestration without recompiling the Python or .NET app safely.

Use Magentic orchestration for autonomous planning: a manager keeps facts, delegates to workers, reassesses, and replans when stuck.

Let a Triage agent route the conversation to Math or History specialists, handle handbacks, and guard against loops in production.

Use a centralized manager to pick speakers each round, compare round-robin and agent-driven strategies, and cap runaway loops.

Use SequentialBuilder or BuildSequential to pass one conversation through Writer, Reviewer, and Finalizer agents without hand-built adapters.

Fan one input out to an expert panel, aggregate the responses, and keep wall-clock time bounded by the slowest branch cleanly.

Wrap a ChatClientAgent as a workflow executor, chain two translators, and hide adapter plumbing behind AgentWorkflowBuilder.

Model deterministic workflows with executors as nodes, edges as routes, and a Pregel-style scheduler in Python and .NET.

Two kinds of workflow events — lifecycle and custom. Subscribe to the stream in Python and .NET, filter by type, and wire a live progress indicator.