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resonate-basic-durable-world-usage-rust

Implement durable Rust workflows using Resonate's #[resonate::function] attribute.

6|Updated Jan 8, 2026
Search Tags:#workflow#rust#async#context-api#durable-functions#resonate
One-click install
npx skills add https://github.com/resonatehq/resonate-skills --skill resonate-basic-durable-world-usage-rust
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: resonate-basic-durable-world-usage-rust
Source: https://github.com/resonatehq/resonate-skills/tree/main/resonate-basic-durable-world-usage-rust
Command: npx skills add https://github.com/resonatehq/resonate-skills --skill resonate-basic-durable-world-usage-rust

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Rust developers building long-running, crash-safe workflows need a structured pattern to declare durable functions, manage context and results, and ensure checkpoint-replay semantics with a clean API surface.

Core Features & Use Cases

  • Durable function patterns: Workflow, Leaf with Info, and Pure leaf shapes using #[resonate::function].
  • Context APIs: Use ctx.run, ctx.rpc, and ctx.sleep (with Duration) and .spawn() for parallelism, plus builder options for timeouts and routing.
  • Use Case: Orchestrate a multi-step Rust workflow that loads data, processes it in parallel, and handles retries with checkpointing.

Quick Start

Define a simple Rust function annotated with #[resonate::function] to implement a small workflow that calls a leaf with ctx.run and returns a Result.

Frequently Asked Questions about resonate-basic-durable-world-usage-rust

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I write durable functions in Rust for long-running workflows?▼

Durable functions in Rust use the #[resonate::function] attribute to define Workflow, Leaf with Info, and Pure leaf shapes, providing checkpoint-replay semantics for crash-safe long-running workflows.

What context APIs are available for orchestrating multi-step Rust workflows?▼

Context APIs for orchestrating Rust workflows include ctx.run for execution, ctx.rpc for remote calls, ctx.sleep with Duration for delays, and .spawn() for parallel processing of multi-step operations.

When do I need durable functions with checkpointing in Rust?▼

Durable functions with checkpointing are needed when building long-running Rust workflows that require crash safety, automatic retries, and replay semantics to prevent data loss during multi-step processing.

Can I execute parallel tasks in a durable Rust workflow?▼

Parallel tasks in durable Rust workflows are executed using the .spawn() method on the context API, enabling concurrent operations with checkpointed results for crash-safe parallel processing.

What's the best way to structure a Rust workflow that loads data and processes it in parallel?▼

The best way to structure parallel Rust workflows is using the Workflow function shape with #[resonate::function], leveraging ctx.run for data loading and .spawn() for parallel processing with automatic checkpointing.

Does the Resonate Rust SDK support timeouts and routing for workflow steps?▼

The Resonate Rust SDK supports builder options for configuring timeouts and routing on context APIs like ctx.run and ctx.rpc, satisfying v0.1.0 SDK requirements for durable function signatures.

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