Skip to content

Piero Bosio Social Web Site Personale Logo Fediverso

Social Forum federato con il resto del mondo. Non contano le istanze, contano le persone

Optique 0.7.0: Smarter error messages and validation library integrations

  • We're thrilled to announce Optique 0.7.0, a release focused on developer experience improvements and expanding Optique's ecosystem with validation library integrations.

    Optique is a type-safe, combinatorial CLI argument parser for TypeScript. Unlike traditional CLI libraries that rely on configuration objects, Optique lets you compose parsers from small, reusable functions—bringing the same functional composition patterns that make Zod powerful to CLI development. If you're new to Optique, check out Why Optique? to learn how this approach unlocks possibilities that configuration-based libraries simply can't match.

    This release introduces automatic “Did you mean?” suggestions for typos, seamless integration with Zod and Valibot validation libraries, duplicate option name detection for catching configuration bugs early, and context-aware error messages that help users understand exactly what went wrong.

    “Did you mean?”: Automatic typo suggestions

    We've all been there: you type --verbos instead of --verbose, and the CLI responds with an unhelpful “unknown option” error. Optique 0.7.0 changes this by automatically suggesting similar options when users make typos:

    const parser = object({
      verbose: option("-v", "--verbose"),
      version: option("--version"),
    });
    
    // User types: --verbos (typo)
    const result = parse(parser, ["--verbos"]);
    // Error: Unexpected option or argument: --verbos.
    //
    // Did you mean one of these?
    //   --verbose
    //   --version
    

    The suggestion system uses Levenshtein distance to find similar names, suggesting up to 3 alternatives when the edit distance is within a reasonable threshold. Suggestions work automatically for both option names and subcommand names across all parser types—option(), flag(), command(), object(), or(), and longestMatch(). See the automatic suggestions documentation for more details.

    Customizing suggestions

    You can customize how suggestions are formatted or disable them entirely through the errors option:

    // Custom suggestion format for option/flag parsers
    const portOption = option("--port", integer(), {
      errors: {
        noMatch: (invalidOption, suggestions) =>
          suggestions.length > 0
            ? message`Unknown option ${invalidOption}. Try: ${values(suggestions)}`
            : message`Unknown option ${invalidOption}.`
      }
    });
    
    // Custom suggestion format for combinators
    const config = object({
      host: option("--host", string()),
      port: option("--port", integer())
    }, {
      errors: {
        suggestions: (suggestions) =>
          suggestions.length > 0
            ? message`Available options: ${values(suggestions)}`
            : []
      }
    });
    

    Zod and Valibot integrations

    Two new packages join the Optique family, bringing powerful validation capabilities from the TypeScript ecosystem to your CLI parsers.

    @optique/zod

    The new @optique/zod package lets you use Zod schemas directly as value parsers:

    import { option, object } from "@optique/core";
    import { zod } from "@optique/zod";
    import { z } from "zod";
    
    const parser = object({
      email: option("--email", zod(z.string().email())),
      port: option("--port", zod(z.coerce.number().int().min(1).max(65535))),
      format: option("--format", zod(z.enum(["json", "yaml", "xml"]))),
    });
    

    The package supports both Zod v3.25.0+ and v4.0.0+, with automatic error formatting that integrates seamlessly with Optique's message system. See the Zod integration guide for complete usage examples.

    @optique/valibot

    For those who prefer a lighter bundle, @optique/valibot integrates with Valibot—a validation library with a significantly smaller footprint (~10KB vs Zod's ~52KB):

    import { option, object } from "@optique/core";
    import { valibot } from "@optique/valibot";
    import * as v from "valibot";
    
    const parser = object({
      email: option("--email", valibot(v.pipe(v.string(), v.email()))),
      port: option("--port", valibot(v.pipe(
        v.string(),
        v.transform(Number),
        v.integer(),
        v.minValue(1),
        v.maxValue(65535)
      ))),
    });
    

    Both packages support custom error messages through their respective error handler options (zodError and valibotError), giving you full control over how validation failures are presented to users. See the Valibot integration guide for complete usage examples.

    Duplicate option name detection

    A common source of bugs in CLI applications is accidentally using the same option name in multiple places. Previously, this would silently cause ambiguous parsing where the first matching parser consumed the option.

    Optique 0.7.0 now validates option names at parse time and fails with a clear error message when duplicates are detected:

    const parser = object({
      input: option("-i", "--input", string()),
      interactive: option("-i", "--interactive"),  // Oops! -i is already used
    });
    
    // Error: Duplicate option name -i found in fields: input, interactive.
    // Each option name must be unique within a parser combinator.
    

    This validation applies to object(), tuple(), merge(), and group() combinators. The or() combinator continues to allow duplicate option names since its branches are mutually exclusive. See the duplicate detection documentation for more details.

    If you have a legitimate use case for duplicate option names, you can opt out with allowDuplicates: true:

    const parser = object({
      input: option("-i", "--input", string()),
      interactive: option("-i", "--interactive"),
    }, { allowDuplicates: true });
    

    Context-aware error messages

    Error messages from combinators are now smarter about what they report. Instead of generic "No matching option or command found" messages, Optique now analyzes what the parser expects and provides specific feedback:

    // When only arguments are expected
    const parser1 = or(argument(string()), argument(integer()));
    // Error: Missing required argument.
    
    // When only commands are expected
    const parser2 = or(command("add", addParser), command("remove", removeParser));
    // Error: No matching command found.
    
    // When both options and arguments are expected
    const parser3 = object({
      port: option("--port", integer()),
      file: argument(string()),
    });
    // Error: No matching option or argument found.
    

    Dynamic error messages with NoMatchContext

    For applications that need internationalization or context-specific messaging, the errors.noMatch option now accepts a function that receives a NoMatchContext object:

    const parser = or(
      command("add", addParser),
      command("remove", removeParser),
      {
        errors: {
          noMatch: ({ hasOptions, hasCommands, hasArguments }) => {
            if (hasCommands && !hasOptions && !hasArguments) {
              return message`일치하는 명령을 찾을 수 없습니다.`;  // Korean
            }
            return message`잘못된 입력입니다.`;
          }
        }
      }
    );
    

    Shell completion naming conventions

    The run() function now supports configuring whether shell completions use singular or plural naming conventions:

    run(parser, {
      completion: {
        name: "plural",  // Uses "completions" and "--completions"
      }
    });
    
    // Or for singular only
    run(parser, {
      completion: {
        name: "singular",  // Uses "completion" and "--completion"
      }
    });
    

    The default "both" accepts either form, maintaining backward compatibility while letting you enforce a consistent style in your CLI.

    Additional improvements

    • Line break handling: formatMessage() now distinguishes between soft breaks (single \n, converted to spaces) and hard breaks (double \n\n, creating paragraph separations), improving multi-line error message formatting.

    • New utility functions: Added extractOptionNames() and extractArgumentMetavars() to the @optique/core/usage module for programmatic access to parser metadata.

    Installation

    deno add --jsr @optique/core @optique/run
    npm  add       @optique/core @optique/run
    pnpm add       @optique/core @optique/run
    yarn add       @optique/core @optique/run
    bun  add       @optique/core @optique/run
    

    For validation library integrations:

    # Zod integration
    deno add jsr:@optique/zod     # Deno
    npm  add     @optique/zod      # npm/pnpm/yarn/bun
    
    # Valibot integration
    deno add jsr:@optique/valibot  # Deno
    npm  add     @optique/valibot  # npm/pnpm/yarn/bun
    

    Looking forward

    This release represents our commitment to making CLI development in TypeScript as smooth as possible. The “Did you mean?” suggestions and validation library integrations were among the most requested features, and we're excited to see how they improve your CLI applications.

    For detailed documentation and examples, visit the Optique documentation. We welcome your feedback and contributions on GitHub!

  • hongminhee@hollo.socialundefined hongminhee@hollo.social shared this topic on

Gli ultimi otto messaggi ricevuti dalla Federazione
Post suggeriti
  • 0 Votes
    1 Posts
    8 Views
    "Fedify 2.0.0 está aqui!Esta é a maior atualização da história do Fedify. Destaques:**Arquitetura modular** – O pacote monolítico `@fedify/fedify` foi dividido em pacotes independentes e focados: `@fedify/vocab`, `@fedify/vocab-runtime`, `@fedify/vocab-tools`, `@fedify/webfinger` e outros. Pacotes menores, imports mais limpos e a possibilidade de estender o ActivityPub com tipos de vocabulário personalizados.**Painel de depuração em tempo real** – O novo pacote `@fedify/debugger` oferece um dashboard ao vivo em `/__debug__/` que mostra todo o tráfego de federação: traces, detalhes das atividades, verificação de assinaturas e logs correlacionados. Basta envolver seu objeto `Federation` e pronto.**Suporte a relay do ActivityPub** – Suporte nativo a relays via `@fedify/relay` e o comando CLI `fedify relay`. Compatível com os protocolos Mastodon-style e LitePub-style (FEP-ae0c).**Entrega ordenada de mensagens** – A nova opção `orderingKey` resolve o problema do "post zumbi", quando um `Delete` chega antes do seu `Create`. Atividades com a mesma chave são entregues garantidamente na ordem FIFO.**Tratamento de falhas permanentes** – `setOutboxPermanentFailureHandler()` permite reagir quando uma inbox remota retorna 404 ou 410, possibilitando limpar seguidores inacessíveis em vez de tentar reenviar indefinidamente.Outras novidades incluem negociação de conteúdo no nível do middleware, `@fedify/lint` para regras compartilhadas de linting, `@fedify/create` para scaffolding rápido de projetos, arquivos de configuração para a CLI, suporte nativo à CLI em Node.js/Bun e diversos fixes de bugs.Esta versão conta com contribuições significativas de participantes do OSSCA da Coreia. Agradecemos imensamente a todos envolvidos!Trata-se de uma release major com breaking changes. Consulte o guia de migração antes de atualizar.Notas completas da release: https://github.com/fedify-dev/fedify/discussions/580#Fedify #ActivityPub #fediverso #fedidev #TypeScript"@fediverse @tecnologia @academicos @internet (pode seguir para acompanhar os assuntos ou marcar para amplificar a postagem até no #lemmy tb)@fedify https://hollo.social/@fedify/019c8521-92ef-7d5f-be4d-c50eae575742
  • 0 Votes
    1 Posts
    7 Views
    Fedify 1.10.0: Observability foundations for the future debug dashboard Fedify is a #TypeScript framework for building #ActivityPub servers that participate in the #fediverse. It reduces the complexity and boilerplate typically required for ActivityPub implementation while providing comprehensive federation capabilities. We're excited to announce #Fedify 1.10.0, a focused release that lays critical groundwork for future debugging and observability features. Released on December 24, 2025, this version introduces infrastructure improvements that will enable the upcoming debug dashboard while maintaining full backward compatibility with existing Fedify applications. This release represents a transitional step toward Fedify 2.0.0, introducing optional capabilities that will become standard in the next major version. The changes focus on enabling richer observability through OpenTelemetry enhancements and adding prefix scanning capabilities to the key–value store interface. Enhanced OpenTelemetry instrumentation Fedify 1.10.0 significantly expands OpenTelemetry instrumentation with span events that capture detailed ActivityPub data. These enhancements enable richer observability and debugging capabilities without relying solely on span attributes, which are limited to primitive values. The new span events provide complete activity payloads and verification status, making it possible to build comprehensive debugging tools that show the full context of federation operations: activitypub.activity.received event on activitypub.inbox span — records the full activity JSON, verification status (activity verified, HTTP signatures verified, Linked Data signatures verified), and actor information activitypub.activity.sent event on activitypub.send_activity span — records the full activity JSON and target inbox URL activitypub.object.fetched event on activitypub.lookup_object span — records the fetched object's type and complete JSON-LD representation Additionally, Fedify now instruments previously uncovered operations: activitypub.fetch_document span for document loader operations, tracking URL fetching, HTTP redirects, and final document URLs activitypub.verify_key_ownership span for cryptographic key ownership verification, recording actor ID, key ID, verification result, and the verification method used These instrumentation improvements emerged from work on issue #234 (Real-time ActivityPub debug dashboard). Rather than introducing a custom observer interface as originally proposed in #323, we leveraged Fedify's existing OpenTelemetry infrastructure to capture rich federation data through span events. This approach provides a standards-based foundation that's composable with existing observability tools like Jaeger, Zipkin, and Grafana Tempo. Distributed trace storage with FedifySpanExporter Building on the enhanced instrumentation, Fedify 1.10.0 introduces FedifySpanExporter, a new OpenTelemetry SpanExporter that persists ActivityPub activity traces to a KvStore. This enables distributed tracing support across multiple nodes in a Fedify deployment, which is essential for building debug dashboards that can show complete request flows across web servers and background workers. The new @fedify/fedify/otel module provides the following types and interfaces: import { MemoryKvStore } from "@fedify/fedify"; import { FedifySpanExporter } from "@fedify/fedify/otel"; import { BasicTracerProvider, SimpleSpanProcessor, } from "@opentelemetry/sdk-trace-base"; const kv = new MemoryKvStore(); const exporter = new FedifySpanExporter(kv, { ttl: Temporal.Duration.from({ hours: 1 }), }); const provider = new BasicTracerProvider(); provider.addSpanProcessor(new SimpleSpanProcessor(exporter)); The stored traces can be queried for display in debugging interfaces: // Get all activities for a specific trace const activities = await exporter.getActivitiesByTraceId(traceId); // Get recent traces with summary information const recentTraces = await exporter.getRecentTraces({ limit: 100 }); The exporter supports two storage strategies depending on the KvStore capabilities. When the list() method is available (preferred), it stores individual records with keys like [prefix, traceId, spanId]. When only cas() is available, it uses compare-and-swap operations to append records to arrays stored per trace. This infrastructure provides the foundation for implementing a comprehensive debug dashboard as a custom SpanExporter, as outlined in the updated implementation plan for issue #234. Optional list() method for KvStore interface Fedify 1.10.0 adds an optional list() method to the KvStore interface for enumerating entries by key prefix. This method enables efficient prefix scanning, which is useful for implementing features like distributed trace storage, cache invalidation by prefix, and listing related entries. interface KvStore { // ... existing methods list?(prefix?: KvKey): AsyncIterable<KvStoreListEntry>; } When the prefix parameter is omitted or empty, list() returns all entries in the store. This is useful for debugging and administrative purposes. All official KvStore implementations have been updated to support this method: MemoryKvStore — filters in-memory keys by prefix SqliteKvStore — uses LIKE query with JSON key pattern PostgresKvStore — uses array slice comparison RedisKvStore — uses SCAN with pattern matching and key deserialization DenoKvStore — delegates to Deno KV's built-in list() API WorkersKvStore — uses Cloudflare Workers KV list() with JSON key prefix pattern While list() is currently optional to give existing custom KvStore implementations time to add support, it will become a required method in Fedify 2.0.0 (tracked in issue #499). This migration path allows implementers to gradually adopt the new capability throughout the 1.x release cycle. The addition of list() support was implemented in pull request #500, which also included the setup of proper testing infrastructure for WorkersKvStore using Vitest with @cloudflare/vitest-pool-workers. NestJS 11 and Express 5 support Thanks to a contribution from Cho Hasang (@crohasang@hackers.pub), the @fedify/nestjs package now supports NestJS 11 environments that use Express 5. The peer dependency range for Express has been widened to ^4.0.0 || ^5.0.0, eliminating peer dependency conflicts in modern NestJS projects while maintaining backward compatibility with Express 4. This change, implemented in pull request #493, keeps the workspace catalog pinned to Express 4 for internal development and test stability while allowing Express 5 in consuming applications. What's next Fedify 1.10.0 serves as a stepping stone toward the upcoming 2.0.0 release. The optional list() method introduced in this version will become required in 2.0.0, simplifying the interface contract and allowing Fedify internals to rely on prefix scanning being universally available. The enhanced #OpenTelemetry instrumentation and FedifySpanExporter provide the foundation for implementing the debug dashboard proposed in issue #234. The next steps include building the web dashboard UI with real-time activity lists, filtering, and JSON inspection capabilities—all as a separate package that leverages the standards-based observability infrastructure introduced in this release. Depending on the development timeline and feature priorities, there may be additional 1.x releases before the 2.0.0 migration. For developers building custom KvStore implementations, now is the time to add list() support to prepare for the eventual 2.0.0 upgrade. The implementation patterns used in the official backends provide clear guidance for various storage strategies. Acknowledgments Special thanks to Cho Hasang (@crohasang@hackers.pub) for the NestJS 11 compatibility improvements, and to all community members who provided feedback and testing for the new observability features. For the complete list of changes, bug fixes, and improvements, please refer to the CHANGES.md file in the repository. #fedidev #release
  • 0 Votes
    1 Posts
    10 Views
    We're excited to announce Optique 0.8.0! This release introduces powerful new features for building sophisticated CLI applications: the conditional() combinator for discriminated union patterns, the passThrough() parser for wrapper tools, and the new @optique/logtape package for seamless logging configuration. Optique is a type-safe combinatorial CLI parser for TypeScript, providing a functional approach to building command-line interfaces with composable parsers and full type inference. New conditional parsing with conditional() Ever needed to enable different sets of options based on a discriminator value? The new conditional() combinator makes this pattern first-class. It creates discriminated unions where certain options only become valid when a specific discriminator value is selected. import { conditional, object } from "@optique/core/constructs"; import { option } from "@optique/core/primitives"; import { choice, string } from "@optique/core/valueparser"; const parser = conditional( option("--reporter", choice(["console", "junit", "html"])), { console: object({}), junit: object({ outputFile: option("--output-file", string()) }), html: object({ outputFile: option("--output-file", string()) }), } ); // Result type: ["console", {}] | ["junit", { outputFile: string }] | ... Key features: Explicit discriminator option determines which branch is selected Tuple result [discriminator, branchValue] for clear type narrowing Optional default branch for when discriminator is not provided Clear error messages indicating which options are required for each discriminator value The conditional() parser provides a more structured alternative to or() for discriminated union patterns. Use it when you have an explicit discriminator option that determines which set of options is valid. See the conditional() documentation for more details and examples. Pass-through options with passThrough() Building wrapper CLI tools that need to forward unrecognized options to an underlying tool? The new passThrough() parser enables legitimate wrapper/proxy patterns by capturing unknown options without validation errors. import { object } from "@optique/core/constructs"; import { option, passThrough } from "@optique/core/primitives"; const parser = object({ debug: option("--debug"), extra: passThrough(), }); // mycli --debug --foo=bar --baz=qux // → { debug: true, extra: ["--foo=bar", "--baz=qux"] } Key features: Three capture formats: "equalsOnly" (default, safest), "nextToken" (captures --opt val pairs), and "greedy" (captures all remaining tokens) Lowest priority (−10) ensures explicit parsers always match first Respects -- options terminator in "equalsOnly" and "nextToken" modes Works seamlessly with object(), subcommands, and other combinators This feature is designed for building Docker-like CLIs, build tool wrappers, or any tool that proxies commands to another process. See the passThrough() documentation for usage patterns and best practices. LogTape logging integration The new @optique/logtape package provides seamless integration with LogTape, enabling you to configure logging through command-line arguments with various parsing strategies. # Deno deno add --jsr @optique/logtape @logtape/logtape # npm npm add @optique/logtape @logtape/logtape Quick start with the loggingOptions() preset: import { loggingOptions, createLoggingConfig } from "@optique/logtape"; import { object } from "@optique/core/constructs"; import { parse } from "@optique/core/parser"; import { configure } from "@logtape/logtape"; const parser = object({ logging: loggingOptions({ level: "verbosity" }), }); const args = ["-vv", "--log-output=-"]; const result = parse(parser, args); if (result.success) { const config = await createLoggingConfig(result.value.logging); await configure(config); } The package offers multiple approaches to control log verbosity: verbosity() parser: The classic -v/-vv/-vvv pattern where each flag increases verbosity (no flags → "warning", -v → "info", -vv → "debug", -vvv → "trace") debug() parser: Simple --debug/-d flag that toggles between normal and debug levels logLevel() value parser: Explicit --log-level=debug option for direct level selection logOutput() parser: Log output destination with - for console or file path for file output See the LogTape integration documentation for complete examples and configuration options. Bug fix: negative integers now accepted Fixed an issue where the integer() value parser rejected negative integers when using type: "number". The regex pattern has been updated from /^\d+$/ to /^-?\d+$/ to correctly handle values like -42. Note that type: "bigint" already accepted negative integers, so this change brings consistency between the two types. Installation # Deno deno add jsr:@optique/core # npm npm add @optique/core # pnpm pnpm add @optique/core # Yarn yarn add @optique/core # Bun bun add @optique/core For the LogTape integration: # Deno deno add --jsr @optique/logtape @logtape/logtape # npm npm add @optique/logtape @logtape/logtape # pnpm pnpm add @optique/logtape @logtape/logtape # Yarn yarn add @optique/logtape @logtape/logtape # Bun bun add @optique/logtape @logtape/logtape Looking forward Optique 0.8.0 continues our focus on making CLI development more expressive and type-safe. The conditional() combinator brings discriminated union patterns to the forefront, passThrough() enables new wrapper tool use cases, and the LogTape integration makes logging configuration a breeze. As always, all new features maintain full backward compatibility—your existing parsers continue to work unchanged. We're grateful to the community for feedback and suggestions. If you have ideas for future improvements or encounter any issues, please let us know through GitHub Issues. For more information about Optique and its features, visit the documentation or check out the full changelog.
  • 0 Votes
    1 Posts
    11 Views
    Optique 0.6.0 is here, bringing intelligent shell completion to your type-safe command-line applications. This release introduces built-in completion support for Bash, zsh, fish, PowerShell, and Nushell, making your CLIs more discoverable and user-friendly—all without sacrificing type safety or requiring duplicate definitions. For those new to [Optique]: it's a TypeScript CLI parser library that takes a fundamentally different approach from traditional configuration-based parsers. Instead of describing your CLI with configuration objects, you compose parsers from small, type-safe functions. TypeScript automatically infers the exact types of your parsed data, ensuring compile-time safety while the parser structure itself provides runtime validation. Think of it as bringing the composability of parser combinators (inspired by Haskell's optparse-applicative) together with the type safety of TypeScript's type system. Shell completion that just works The standout feature of this release is comprehensive shell completion support. Unlike many CLI frameworks that require separate completion definitions, Optique's completion system leverages the same parser structure used for argument parsing. This means your completion suggestions automatically stay synchronized with your CLI's actual behavior—no duplicate definitions, no manual maintenance. import { object } from "@optique/core/constructs"; import { argument, option } from "@optique/core/primitives"; import { string, choice } from "@optique/core/valueparser"; import { run } from "@optique/run"; const parser = object({ format: option("-f", "--format", choice(["json", "yaml", "xml"])), output: option("-o", "--output", string({ metavar: "FILE" })), verbose: option("-v", "--verbose"), input: argument(string({ metavar: "INPUT" })), }); // Enable completion with a single option const config = run(parser, { completion: "both" }); Users can now press Tab to get intelligent suggestions: myapp <TAB> # Shows available commands and options myapp --format <TAB> # Shows: json, yaml, xml myapp --format=<TAB> # Same suggestions with equals syntax myapp -<TAB> # Shows: -f, -o, -v, and other short options Setting up completion is straightforward. Users generate a completion script for their shell and source it: # Bash myapp completion bash > ~/.bashrc.d/myapp.bash source ~/.bashrc.d/myapp.bash # zsh myapp completion zsh > ~/.zsh/completions/_myapp # fish myapp completion fish > ~/.config/fish/completions/myapp.fish # PowerShell myapp completion pwsh > myapp-completion.ps1 . ./myapp-completion.ps1 # Nushell myapp completion nu | save myapp-completion.nu source myapp-completion.nu The completion system works automatically with all Optique parser types. When you use choice() value parsers, the available options become completion suggestions. When you use path() parsers, file system completion kicks in with proper handling of extensions and file types. Subcommands, options, and arguments all provide context-aware suggestions. What makes Optique's completion special is that it leverages the same parser structure used for argument parsing. Every parser has an optional suggest() method that provides context-aware suggestions based on the current input. Parser combinators like object() and or() automatically aggregate suggestions from their constituent parsers, ensuring your completion logic stays in your TypeScript code where it benefits from type safety and testing. Optique handles the differences between shells transparently. Bash uses the complete command with proper handling of word splitting, zsh leverages its powerful compdef system with completion descriptions, fish provides tab-separated format with automatic file type detection, PowerShell uses Register-ArgumentCompleter with AST-based parsing, and Nushell integrates with its external completer system. For file and directory completions, Optique delegates to each shell's native file completion system, ensuring proper handling of spaces, symlinks, and platform-specific path conventions. Custom completion suggestions For domain-specific value parsers, you can implement custom completion logic that provides intelligent suggestions based on your application's needs: import type { ValueParser, ValueParserResult } from "@optique/core/valueparser"; import type { Suggestion } from "@optique/core/parser"; import { message } from "@optique/core/message"; function httpMethod(): ValueParser<string> { const methods = ["GET", "POST", "PUT", "DELETE", "PATCH", "HEAD", "OPTIONS"]; return { metavar: "METHOD", parse(input: string): ValueParserResult<string> { const method = input.toUpperCase(); if (methods.includes(method)) { return { success: true, value: method }; } return { success: false, error: message`Invalid HTTP method: ${input}. Valid methods: ${methods.join(", ")}.`, }; }, format(value: string): string { return value; }, *suggest(prefix: string): Iterable<Suggestion> { for (const method of methods) { if (method.toLowerCase().startsWith(prefix.toLowerCase())) { yield { kind: "literal", text: method, description: message`HTTP ${method} request method` }; } } }, }; } The built-in value parsers also provide intelligent suggestions. For instance, the locale() parser suggests common locale identifiers, the url() parser offers protocol completions when configured with allowedProtocols, and the timezone parsers from @optique/temporal use Intl.supportedValuesOf() for dynamic timezone suggestions. Enhanced command documentation This release also introduces new documentation capabilities for the command() parser. You can now provide separate brief and description texts, along with a footer for examples and additional information: import { command, object, constant } from "@optique/core/primitives"; import { message } from "@optique/core/message"; const deployCommand = command( "deploy", object({ action: constant("deploy"), // ... options }), { brief: message`Deploy application to production`, // Shown in command list description: message`Deploy the application to the production environment. This command handles database migrations, asset compilation, and cache warming automatically. It performs health checks before switching traffic to ensure zero-downtime deployment.`, // Shown in detailed help footer: message`Examples: myapp deploy --environment staging --dry-run myapp deploy --environment production --force For deployment documentation, see: https://docs.example.com/deploy` } ); The brief text appears when listing commands (like myapp help), while description provides detailed information when viewing command-specific help (myapp deploy --help or myapp help deploy). The footer appears at the bottom of the help text, perfect for examples and additional resources. Command-line example formatting To make help text and examples clearer, we've added a new commandLine() message term type. This displays command-line snippets with distinct cyan coloring in terminals, making it immediately clear what users should type: import { message, commandLine } from "@optique/core/message"; import { run } from "@optique/run"; const config = run(parser, { footer: message`Examples: ${commandLine("myapp --format json input.txt")} ${commandLine("myapp --format=yaml --output result.yml data.txt")} To enable shell completion: ${commandLine("myapp completion bash > ~/.bashrc.d/myapp.bash")} ${commandLine("source ~/.bashrc.d/myapp.bash")}`, completion: "both" }); These command examples stand out visually in help text, making it easier for users to understand how to use your CLI. Migration guide If you're already using Optique, adding completion support is straightforward: Update to Optique 0.6.0 Add the completion option to your run() configuration: // Before const config = run(parser, { help: "both" }); // After const config = run(parser, { help: "both", completion: "both" // Adds both 'completion' command and '--completion' option }); That's it! Your CLI now supports shell completion. The completion option accepts three modes: "command": Only the completion subcommand (e.g., myapp completion bash) "option": Only the --completion option (e.g., myapp --completion bash) "both": Both patterns work For custom value parsers, you can optionally add a suggest() method to provide domain-specific completions. Existing parsers continue to work without modification—they just won't provide custom suggestions beyond what the parser structure implies. Looking forward Shell completion has been one of the most requested features for Optique, and we're thrilled to deliver it in a way that maintains our core principles: type safety, composability, and zero duplication. Your parser definitions remain the single source of truth for both parsing and completion behavior. This release represents a significant step toward making Optique-based CLIs as user-friendly as they are developer-friendly. The completion system proves that we can provide sophisticated runtime features without sacrificing the compile-time guarantees that make Optique unique. We hope you find the new shell completion feature useful and look forward to seeing what you build with it! Getting started To start using Optique 0.6.0: deno add --jsr @optique/core@^0.6.0 @optique/run@^0.6.0 npm add @optique/core@^0.6.0 @optique/run@^0.6.0 pnpm add @optique/core@^0.6.0 @optique/run@^0.6.0 yarn add @optique/core@^0.6.0 @optique/run@^0.6.0 bun add @optique/core@^0.6.0 @optique/run@^0.6.0 For complete documentation, visit optique.dev. Check out the new shell completion guide for detailed setup instructions and advanced usage patterns. For bug reports and feature requests, please visit our GitHub repository.