Files
wehub-resource-sync a9cd7750f4
CI / unit-test (push) Has been cancelled
CI / detect-changes (push) Has been cancelled
CI / build (push) Has been cancelled
Publish docs via GitHub Pages / Deploy docs (push) Has been cancelled
CI / test-harness (push) Has been cancelled
CI / generate-e2e-matrix (push) Has been cancelled
CI / e2e (push) Has been cancelled
CI / build-ui (push) Has been cancelled
Release Drafter / update_release_draft (push) Has been cancelled
UI v2 Integration CI / E2E (Integration) (push) Has been cancelled
UI v2 CI / Lint, Format & Test (push) Has been cancelled
UI v2 CI / E2E (Mocked) (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 12:37:56 +08:00

1.8 KiB

description
description
Conductor cookbook — copy-paste workflow orchestration recipes for microservice orchestration, dynamic parallelism, event-driven patterns, AI agent orchestration, LLM orchestration, workflow automation, and RAG pipelines.

Cookbook

Production-ready workflow recipes. Each recipe includes the complete JSON workflow definition and commands to register and run it.

  • Microservice orchestration

    HTTP service chains, conditional branching, parallel HTTP calls with Fork/Join.

  • Dynamic parallelism

    Dynamic forks — different tasks per branch, fan-out with same task, parallel sub-workflows.

  • Wait and timer patterns

    Fixed delays, scheduled execution, external signals, and human-in-the-loop approvals.

  • Task timeouts and retries

    Exponential backoff with cap and jitter, lease extension for long-running workers, hard SLA with totalTimeoutSeconds, and thundering herd prevention.

  • Scheduled workflows

    Cron-triggered execution, catchup after downtime, bounded time windows, input parameterization, and concurrent execution handling.

  • Event-driven recipes

    Publish to Kafka/NATS/RabbitMQ/SQS, event handlers to trigger workflows, complete tasks from events.

  • AI & LLM orchestration recipes

    Chat completion, RAG pipelines, MCP agents with function calling, image generation, LLM-to-PDF, and provider configuration.

  • Dynamic workflows as code

    Workflow as code in Python — sequential chains, conditional branching, parallel execution, loops, sub-workflows, and runtime-generated definitions.