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    If you've built CLI tools, you've written code like this: if (opts.reporter === "junit" && !opts.outputFile) { throw new Error("--output-file is required for junit reporter"); } if (opts.reporter === "html" && !opts.outputFile) { throw new Error("--output-file is required for html reporter"); } if (opts.reporter === "console" && opts.outputFile) { console.warn("--output-file is ignored for console reporter"); } A few months ago, I wrote Stop writing CLI validation. Parse it right the first time. about parsing individual option values correctly. But it didn't cover the relationships between options. In the code above, --output-file only makes sense when --reporter is junit or html. When it's console, the option shouldn't exist at all. We're using TypeScript. We have a powerful type system. And yet, here we are, writing runtime checks that the compiler can't help with. Every time we add a new reporter type, we need to remember to update these checks. Every time we refactor, we hope we didn't miss one. The state of TypeScript CLI parsers The old guard—Commander, yargs, minimist—were built before TypeScript became mainstream. They give you bags of strings and leave type safety as an exercise for the reader. But we've made progress. Modern TypeScript-first libraries like cmd-ts and Clipanion (the library powering Yarn Berry) take types seriously: // cmd-ts const app = command({ args: { reporter: option({ type: string, long: 'reporter' }), outputFile: option({ type: string, long: 'output-file' }), }, handler: (args) => { // args.reporter: string // args.outputFile: string }, }); // Clipanion class TestCommand extends Command { reporter = Option.String('--reporter'); outputFile = Option.String('--output-file'); } These libraries infer types for individual options. --port is a number. --verbose is a boolean. That's real progress. But here's what they can't do: express that --output-file is required when --reporter is junit, and forbidden when --reporter is console. The relationship between options isn't captured in the type system. So you end up writing validation code anyway: handler: (args) => { // Both cmd-ts and Clipanion need this if (args.reporter === "junit" && !args.outputFile) { throw new Error("--output-file required for junit"); } // args.outputFile is still string | undefined // TypeScript doesn't know it's definitely string when reporter is "junit" } Rust's clap and Python's Click have requires and conflicts_with attributes, but those are runtime checks too. They don't change the result type. If the parser configuration knows about option relationships, why doesn't that knowledge show up in the result type? Modeling relationships with conditional() Optique treats option relationships as a first-class concept. Here's the test reporter scenario: import { conditional, object } from "@optique/core/constructs"; import { option } from "@optique/core/primitives"; import { choice, string } from "@optique/core/valueparser"; import { run } from "@optique/run"; 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()), openBrowser: option("--open-browser"), }), } ); const [reporter, config] = run(parser); The conditional() combinator takes a discriminator option (--reporter) and a map of branches. Each branch defines what other options are valid for that discriminator value. TypeScript infers the result type automatically: type Result = | ["console", {}] | ["junit", { outputFile: string }] | ["html", { outputFile: string; openBrowser: boolean }]; When reporter is "junit", outputFile is string—not string | undefined. The relationship is encoded in the type. Now your business logic gets real type safety: const [reporter, config] = run(parser); switch (reporter) { case "console": runWithConsoleOutput(); break; case "junit": // TypeScript knows config.outputFile is string writeJUnitReport(config.outputFile); break; case "html": // TypeScript knows config.outputFile and config.openBrowser exist writeHtmlReport(config.outputFile); if (config.openBrowser) openInBrowser(config.outputFile); break; } No validation code. No runtime checks. If you add a new reporter type and forget to handle it in the switch, the compiler tells you. A more complex example: database connections Test reporters are a nice example, but let's try something with more variation. Database connection strings: myapp --db=sqlite --file=./data.db myapp --db=postgres --host=localhost --port=5432 --user=admin myapp --db=mysql --host=localhost --port=3306 --user=root --ssl Each database type needs completely different options: SQLite just needs a file path PostgreSQL needs host, port, user, and optionally password MySQL needs host, port, user, and has an SSL flag Here's how you model this: import { conditional, object } from "@optique/core/constructs"; import { withDefault, optional } from "@optique/core/modifiers"; import { option } from "@optique/core/primitives"; import { choice, string, integer } from "@optique/core/valueparser"; const dbParser = conditional( option("--db", choice(["sqlite", "postgres", "mysql"])), { sqlite: object({ file: option("--file", string()), }), postgres: object({ host: option("--host", string()), port: withDefault(option("--port", integer()), 5432), user: option("--user", string()), password: optional(option("--password", string())), }), mysql: object({ host: option("--host", string()), port: withDefault(option("--port", integer()), 3306), user: option("--user", string()), ssl: option("--ssl"), }), } ); The inferred type: type DbConfig = | ["sqlite", { file: string }] | ["postgres", { host: string; port: number; user: string; password?: string }] | ["mysql", { host: string; port: number; user: string; ssl: boolean }]; Notice the details: PostgreSQL defaults to port 5432, MySQL to 3306. PostgreSQL has an optional password, MySQL has an SSL flag. Each database type has exactly the options it needs—no more, no less. With this structure, writing dbConfig.ssl when the mode is sqlite isn't a runtime error—it's a compile-time impossibility. Try expressing this with requires_if attributes. You can't. The relationships are too rich. The pattern is everywhere Once you see it, you find this pattern in many CLI tools: Authentication modes: const authParser = conditional( option("--auth", choice(["none", "basic", "token", "oauth"])), { none: object({}), basic: object({ username: option("--username", string()), password: option("--password", string()), }), token: object({ token: option("--token", string()), }), oauth: object({ clientId: option("--client-id", string()), clientSecret: option("--client-secret", string()), tokenUrl: option("--token-url", url()), }), } ); Deployment targets, output formats, connection protocols—anywhere you have a mode selector that determines what other options are valid. Why conditional() exists Optique already has an or() combinator for mutually exclusive alternatives. Why do we need conditional()? The or() combinator distinguishes branches based on structure—which options are present. It works well for subcommands like git commit vs git push, where the arguments differ completely. But in the reporter example, the structure is identical: every branch has a --reporter flag. The difference lies in the flag's value, not its presence. // This won't work as intended const parser = or( object({ reporter: option("--reporter", choice(["console"])) }), object({ reporter: option("--reporter", choice(["junit", "html"])), outputFile: option("--output-file", string()) }), ); When you pass --reporter junit, or() tries to pick a branch based on what options are present. Both branches have --reporter, so it can't distinguish them structurally. conditional() solves this by reading the discriminator's value first, then selecting the appropriate branch. It bridges the gap between structural parsing and value-based decisions. The structure is the constraint Instead of parsing options into a loose type and then validating relationships, define a parser whose structure is the constraint. Traditional approach Optique approach Parse → Validate → Use Parse (with constraints) → Use Types and validation logic maintained separately Types reflect the constraints Mismatches found at runtime Mismatches found at compile time The parser definition becomes the single source of truth. Add a new reporter type? The parser definition changes, the inferred type changes, and the compiler shows you everywhere that needs updating. Try it If this resonates with a CLI you're building: Documentation Tutorial conditional() reference GitHub Next time you're about to write an if statement checking option relationships, ask: could the parser express this constraint instead? The structure of your parser is the constraint. You might not need that validation code at all.
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    CLIパーサーの新しい記事を書きました。--reporterの値によって--output-fileが必須になったり禁止になったり…そういう関係、型で表現できたら楽じゃないですか? https://zenn.dev/hongminhee/articles/201ca6d2e57764 #TypeScript #CLI #Optique
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    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.
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    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!
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    Exciting news for #Fedify developers! We've just landed a major milestone for Fedify 2.0—the #CLI now runs natively on #Node.js and #Bun, not just #Deno (#456). If you install @fedify/cli@2.0.0-dev.1761 from npm, you'll get actual JavaScript that executes directly in your runtime, no more pre-compiled binaries from deno compile. This is part of our broader transition to Optique, a new cross-runtime CLI framework we've developed specifically for Fedify's needs (#374). This change means a more natural development experience regardless of your #JavaScript runtime preference. Node.js developers can now run the CLI tools directly through their familiar ecosystem, and the same goes for Bun users. While Fedify 2.0 isn't released yet, we're excited to share this progress with the community—feel free to try out the dev version and let us know how it works for you!
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    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.
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    We're pleased to announce the release of Optique 0.5.0, which brings significant improvements to error handling, help text generation, and overall developer experience. This release maintains full backward compatibility, so you can upgrade without modifying existing code. Better code organization through module separation The large @optique/core/parser module has been refactored into three focused modules that better reflect their purposes. Primitive parsers like option() and argument() now live in @optique/core/primitives, modifier functions such as optional() and withDefault() have moved to @optique/core/modifiers, and combinator functions including object() and or() are now in @optique/core/constructs. // Before: everything from one module import { option, flag, argument, // primitives optional, withDefault, multiple, // modifiers object, or, merge // constructs } from "@optique/core/parser"; // After: organized imports (recommended) import { option, flag, argument } from "@optique/core/primitives"; import { optional, withDefault, multiple } from "@optique/core/modifiers"; import { object, or, merge } from "@optique/core/constructs"; While we recommend importing from these specialized modules for better clarity, all functions continue to be re-exported from the original @optique/core/parser module to ensure your existing code works unchanged. This reorganization makes the codebase more maintainable and helps developers understand the relationships between different parser types. Smarter error handling with automatic conversion One of the most requested features has been better error handling for default value callbacks in withDefault(). Previously, if your callback threw an error—say, when an environment variable wasn't set—that error would bubble up as a runtime exception. Starting with 0.5.0, these errors are automatically caught and converted to parser-level errors, providing consistent error formatting and proper exit codes. // Before (0.4.x): runtime exception that crashes the app const parser = object({ apiUrl: withDefault(option("--url", url()), () => { if (!process.env.API_URL) { throw new Error("API_URL not set"); // Uncaught exception! } return new URL(process.env.API_URL); }) }); // After (0.5.0): graceful parser error const parser = object({ apiUrl: withDefault(option("--url", url()), () => { if (!process.env.API_URL) { throw new Error("API_URL not set"); // Automatically caught and formatted } return new URL(process.env.API_URL); }) }); We've also introduced the WithDefaultError class, which accepts structured messages instead of plain strings. This means you can now throw errors with rich formatting that matches the rest of Optique's error output: import { WithDefaultError, message, envVar } from "@optique/core"; const parser = object({ // Plain error - automatically converted to text databaseUrl: withDefault(option("--db", url()), () => { if (!process.env.DATABASE_URL) { throw new Error("Database URL not configured"); } return new URL(process.env.DATABASE_URL); }), // Rich error with structured message apiToken: withDefault(option("--token", string()), () => { if (!process.env.API_TOKEN) { throw new WithDefaultError( message`Environment variable ${envVar("API_TOKEN")} is required for authentication` ); } return process.env.API_TOKEN; }) }); The new envVar message component ensures environment variables are visually distinct in error messages, appearing bold and underlined in colored output or wrapped in backticks in plain text. More helpful help text with custom default descriptions Default values in help text can sometimes be misleading, especially when they come from environment variables or are computed at runtime. Optique 0.5.0 allows you to customize how default values appear in help output through an optional third parameter to withDefault(). import { withDefault, message, envVar } from "@optique/core"; const parser = object({ // Before: shows actual URL value in help apiUrl: withDefault( option("--api-url", url()), new URL("https://api.example.com") ), // Help shows: --api-url URL [https://api.example.com] // After: shows descriptive text apiUrl: withDefault( option("--api-url", url()), new URL("https://api.example.com"), { message: message`Default API endpoint` } ), // Help shows: --api-url URL [Default API endpoint] }); This is particularly useful for environment variables and computed defaults: const parser = object({ // Environment variable authToken: withDefault( option("--token", string()), () => process.env.AUTH_TOKEN || "anonymous", { message: message`${envVar("AUTH_TOKEN")} or anonymous` } ), // Help shows: --token STRING [AUTH_TOKEN or anonymous] // Computed value workers: withDefault( option("--workers", integer()), () => os.cpus().length, { message: message`Number of CPU cores` } ), // Help shows: --workers INT [Number of CPU cores] // Sensitive information apiKey: withDefault( option("--api-key", string()), () => process.env.SECRET_KEY || "", { message: message`From secure storage` } ), // Help shows: --api-key STRING [From secure storage] }); Instead of displaying the actual default value, you can now show descriptive text that better explains where the value comes from. This is particularly useful for sensitive information like API tokens or for computed defaults like the number of CPU cores. The help system now properly handles ANSI color codes in default value displays, maintaining dim styling even when inner components have their own color formatting. This ensures default values remain visually distinct from the main help text. Comprehensive error message customization We've added a systematic way to customize error messages across all parser types and combinators. Every parser now accepts an errors option that lets you provide context-specific feedback instead of generic error messages. This applies to primitive parsers, value parsers, combinators, and even specialized parsers in companion packages. Primitive parser errors import { option, flag, argument, command } from "@optique/core/primitives"; import { message, optionName, metavar } from "@optique/core/message"; // Option parser with custom errors const serverPort = option("--port", integer(), { errors: { missing: message`Server port is required. Use ${optionName("--port")} to specify.`, invalidValue: (error) => message`Invalid port number: ${error}`, endOfInput: message`${optionName("--port")} requires a ${metavar("PORT")} number.` } }); // Command parser with custom errors const deployCommand = command("deploy", deployParser, { errors: { notMatched: (expected, actual) => message`Unknown command "${actual}". Did you mean "${expected}"?` } }); Value parser errors Error customization can be static messages for consistent errors or dynamic functions that incorporate the problematic input: import { integer, choice, string } from "@optique/core/valueparser"; // Integer with range validation const port = integer({ min: 1024, max: 65535, errors: { invalidInteger: message`Port must be a valid number.`, belowMinimum: (value, min) => message`Port ${String(value)} is reserved. Use ${String(min)} or higher.`, aboveMaximum: (value, max) => message`Port ${String(value)} exceeds maximum. Use ${String(max)} or lower.` } }); // Choice with helpful suggestions const logLevel = choice(["debug", "info", "warn", "error"], { errors: { invalidChoice: (input, choices) => message`"${input}" is not a valid log level. Choose from: ${values(choices)}.` } }); // String with pattern validation const email = string({ pattern: /^[^@]+@[^@]+\.[^@]+$/, errors: { patternMismatch: (input) => message`"${input}" is not a valid email address. Use format: user@example.com` } }); Combinator errors import { or, multiple, object } from "@optique/core/constructs"; // Or combinator with custom no-match error const format = or( flag("--json"), flag("--yaml"), flag("--xml"), { errors: { noMatch: message`Please specify an output format: --json, --yaml, or --xml.`, unexpectedInput: (token) => message`Unknown format option "${token}".` } } ); // Multiple parser with count validation const inputFiles = multiple(argument(string()), { min: 1, max: 5, errors: { tooFew: (count, min) => message`At least ${String(min)} file required, but got ${String(count)}.`, tooMany: (count, max) => message`Maximum ${String(max)} files allowed, but got ${String(count)}.` } }); Package-specific errors Both @optique/run and @optique/temporal packages have been updated with error customization support for their specialized parsers: // @optique/run path parser import { path } from "@optique/run/valueparser"; const configFile = option("--config", path({ mustExist: true, type: "file", extensions: [".json", ".yaml"], errors: { pathNotFound: (input) => message`Configuration file "${input}" not found. Please check the path.`, notAFile: (input) => message`"${input}" is a directory. Please specify a file.`, invalidExtension: (input, extensions, actual) => message`Invalid config format "${actual}". Use ${values(extensions)}.` } })); // @optique/temporal instant parser import { instant, duration } from "@optique/temporal"; const timestamp = option("--time", instant({ errors: { invalidFormat: (input) => message`"${input}" is not a valid timestamp. Use ISO 8601 format: 2024-01-01T12:00:00Z` } })); const timeout = option("--timeout", duration({ errors: { invalidFormat: (input) => message`"${input}" is not a valid duration. Use ISO 8601 format: PT30S (30 seconds), PT5M (5 minutes)` } })); Error customization integrates seamlessly with Optique's structured message format, ensuring consistent styling across all error output. The system helps you provide helpful, actionable feedback that guides users toward correct usage rather than leaving them confused by generic error messages. Looking forward This release focuses on improving the developer experience without breaking existing code. Every new feature is opt-in, and all changes maintain backward compatibility. We believe these improvements make Optique more pleasant to work with, especially when building user-friendly CLI applications that need clear error messages and helpful documentation. We're grateful to the community members who suggested these improvements and helped shape this release through discussions and issue reports. Your feedback continues to drive Optique's evolution toward being a more capable and ergonomic CLI parser for TypeScript. To upgrade to Optique 0.5.0, simply update your dependencies: npm update @optique/core @optique/run # or deno update For detailed migration guidance and API documentation, please refer to the official documentation. While no code changes are required, we encourage you to explore the new error customization options and help text improvements to enhance your CLI applications.
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    @hongminhee this is cool! I've never used NodeJS CLI apps, but I run into similar issues to the ones you described when using Python
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    @shollyethan oooh thank you for the heads-up Ethan! 🙏I’m not close to being ready yet (I need a few more months)… but good to hear there’s a v6.1 already 😅

Gli ultimi otto messaggi ricevuti dalla Federazione
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  • @filippodb @fediverso grazie 🙏🏻

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  • @elettrona @fediverso Ciao, questa lista è un atto d’amore verso una parte della community che è minoritaria e spesso troppo poco visibile, ma che contribuisce in modo attivo e concreto a rendere mastodon.uno un posto migliore.

    Inoltre, non ho il tempo (né la pretesa) di monitorare o mantenere aggiornata una lista che includa tutti gli account di donne italiane nel Fediverso: l’idea è semplicemente dare rilievo e riconoscimento a chi, ogni giorno, fa crescere e rafforza questa community.

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  • @filippodb @fediverso Pardon, mi era sfuggito il discorso del sistema automatico (non è un blogroll ma un sistema che monitora gli account e ne permette il follow)
    secondo me è voluta. Vista la posizione che questa signora ricopre, immagino che la aggiungeranno cani e, letteralmente, PORCI. Senza che lei abbia mai chiesto "AVETE DOMANDE DA PORCI?" [sarcasmo]

    Fra l'altro ho beccato un bug di altbot e appena posso lo segnalo: indicare come indirizzo email un utente palesemente con la chiocciola all'inizio e quella in mezzo. La chiocciola iniziale indica che è un utente fediverso. Voglio capire se la colpa è di altbot o dei motori llm a cui si appoggia.
    E voglio pure evitare equivoci tipo quello di ieri dove ho preso castopod "mannaggia alle artwork obbligatorie" e invece non è colpa loro, ma delle piattaforme podcasting esterne/chiuse che ti obbligano a mettercela. Loro "vittima" dello stesso problema che ho io, che arriva dai commerciali.
    Ci facciamo una scommessa? I motori llm non hanno interesse a riconoscere i profili fediverso e descriverli come tali?

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  • @elettrona @fediverso assolutamente dovrebbe essere dentro ma purtroppo molti account non si posso aggiungere perchè non hanno attivato la piena visibilità, che consiste nell'attivare le prima 4 opzioni di privacy su: https://mastodon.uno/settings/privacy

    bisognerebbe capire so se sia una scelta voluta o abbia lasciato tutto disattivato di default.

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  • @filippodb @fediverso Come donna interessante nel Fediverso, c'è anche la fondatrice del DAIR (Distributed Artificial Intelligence Research) Institute. Si chiama Timnit Gebru, è una signora che hanno licenziato da google dopo che ha messo in luce rischi e problemi etici dei modelli linguistici conversazionali specie in merito a razzismo.

    https://dair-community.social/@timnitgebru

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  • @filippodb @fediverso

    daje! Sorellanza first!

    Sorelle siamo qui a sostenerci ❤️

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  • @filippodb @fediverso casomai metti anche questo (l'account serio) - il fool around è quello per il

    Volendo c'è anche Michelle Frechette e Patricia BT, non so però loro quanto scrivano.
    Tra parentesi, io settimana prossima mi organizzo per cercare di portare nel fediverso quelle di SheTech Italy

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