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    You've probably written something like this in Commander.js. import { Command, Option } from "@commander-js/extra-typings"; const program = new Command() .addOption( new Option("--token <token>", "API token").conflicts([ "username", "password", "oauthClientId", "oauthClientSecret", ]), ) .addOption( new Option("--username <username>", "Basic auth username").conflicts([ "token", "oauthClientId", "oauthClientSecret", ]), ) .addOption( new Option("--password <password>", "Basic auth password").conflicts([ "token", "oauthClientId", "oauthClientSecret", ]), ) .addOption( new Option("--oauth-client-id <id>", "OAuth client id").conflicts([ "token", "username", "password", ]), ) .addOption( new Option("--oauth-client-secret <secret>", "OAuth client secret") .conflicts(["token", "username", "password"]), ); program.parse(); const options = program.opts(); It compiles. It runs. Commander.js rejects --token abc --username alice with the conflict error you'd expect. Look at what TypeScript thinks options is, though. { token?: string | undefined; username?: string | undefined; password?: string | undefined; oauthClientId?: string | undefined; oauthClientSecret?: string | undefined; } Five independent optional fields. Nothing in that type says token, basic auth, and OAuth are three separate worlds. The .conflicts() chains are runtime instructions to a validator. They never touch the type. When your code reaches in and uses options, you still have to narrow by hand. Is token set? If not, can I assume username and password are both there? If you get that branching wrong, the compiler has nothing to say about it. if (options.token != null) { useBasicAuth(options.username!); // [!code error] } The gap between the validator knows and the type knows is what pushed me to start building Optique. It was originally a side project for a CLI I was writing, and it's grown into something people use in earnest. A few days ago I tagged 1.0.0. The part that matters most to me is that the same parser structure now covers environment variables, config files, and prompts instead of stopping at argv. I'll assume you've used Commander.js or Yargs before. I don't want to pretend they're bad; they're mature tools with real users. My goal is to show where they stop, and what's on the other side of that line. Runtime checks aren't type-level knowledge The obvious first objection to everything I just said is that Commander.js's .conflicts() isn't new. It's been there for years. Yargs has it too, along with .implies() on both sides. You can declare that --token conflicts with --username, and Yargs will even let you declare that --username implies --password so the two are required together. These aren't missing features. On current versions, Commander.js 14 with @commander-js/extra-typings 14 handles the simple case correctly. Passing --token abc --username alice produces option '--token <token>' cannot be used with option '--username <username>', which is exactly the message the user needs. Commander.js doesn't give you a type that reflects any of this, though. The Option.conflicts() method in extra-typings returns the Option instance unchanged. There's no generic parameter threading through the chain, accumulating which options are mutually exclusive with which others. So .opts() comes back as five optional fields, and if you write the snippet above, nothing stops you. The non-null assertion will be there in production, waiting for the input where the runtime let both through because they're actually compatible, or for the refactor that moves this code somewhere the invariant no longer holds. Commander.js also has no way to mark a group of options as required together. If you pass --username alice and forget --password, Commander.js runs happily; the user gets a half-configured basic auth at best. .implies() exists, but it's about setting values (“if --free-drink is passed, set --drink to small“), not about requiring co-occurrence. Yargs is stranger. It has .conflicts() and .implies(), and .implies() does enforce co-occurrence: --username without --password fails at runtime. But the interaction between the two gets confusing fast. I tried --token abc --username alice with both wired up. What Yargs told the user was: Missing dependent arguments: username -> password That's the .implies() talking. Yargs checks implies before conflicts, so the real issue (token and username are mutually exclusive) stays buried behind an unrelated complaint about a password the user never mentioned. If you add --password too, then you finally get the mutually-exclusive error. For the user on the receiving end, this is the kind of message that makes them file a bug against you. The Yargs result type is worth seeing as well: { [x: string]: unknown; // [!code error] oauthClientId: string | undefined; "oauth-client-id": string | undefined; // [!code warning] // …the other options, each of them in both kebab- and camel-cased forms } The index signature [x: string]: unknown means any typo on a property access silently becomes unknown. I tried parsed.tokenn and TypeScript accepted it; the value came back undefined at runtime. Each option also shows up under both kebab-case and camelCase keys. None of this has anything to do with the exclusivity constraints I declared. It's just what happens when parser output is typed as a loose dictionary. This is less about missing features than about where the features stop. Once you cross into the return type of .opts() or .parseSync(), the constraints are gone. The compiler sees whatever shape the signature promised, and that shape doesn't know what you declared. Types that know which branch you picked Here's the same CLI in Optique. import { object, or } from "@optique/core/constructs"; import { constant, option } from "@optique/core/primitives"; import { string } from "@optique/core/valueparser"; import { run } from "@optique/run"; const parser = or( object({ auth: constant("token" as const), // [!code highlight] token: option("--token", string({ metavar: "TOKEN" })), }), object({ auth: constant("basic" as const), // [!code highlight] username: option("--username", string({ metavar: "USER" })), password: option("--password", string({ metavar: "PASS" })), }), object({ auth: constant("oauth" as const), // [!code highlight] clientId: option("--oauth-client-id", string({ metavar: "ID" })), clientSecret: option("--oauth-client-secret", string({ metavar: "SECRET" })), }), ); const parsed = run(parser); The shape of the code is different. Instead of declaring each option in isolation and then chaining constraints between them, you describe three complete parsers, one per auth method, and pass them to or(). Each branch is an object() that lists the options belonging to that branch. The constant() calls are discriminators; they don't consume input, they just tag the result. The type parsed gets is: | { readonly auth: "token"; readonly token: string } | { readonly auth: "basic"; readonly username: string; readonly password: string } | { readonly auth: "oauth"; readonly clientId: string; readonly clientSecret: string } That's a discriminated union. When you consume the parsed value, TypeScript knows which fields are available based on auth: switch (parsed.auth) { case "token": await callApiWithToken(parsed.token); break; case "basic": await callApiWithBasic(parsed.username, parsed.password); break; case "oauth": await callApiWithOauth(parsed.clientId, parsed.clientSecret); break; } Inside the "token" case, parsed.username is a type error. Inside "basic", parsed.token is a type error. Every field inside its branch is plain string, not string | undefined, so no non-null assertions are asked for. If you add a fourth auth method next year and forget to update the switch, the compiler complains. The runtime errors follow the parser shape too. A token-plus-username mix fails as a conflict: "--token" "abc" and "--username" "alice" cannot be used together. A basic-auth branch without its password fails as missing input: Missing option --password. No check-ordering coincidences. I want to be clear that this idea isn't mine. Parser combinators have been a standard technique in functional programming for decades, and Haskell's optparse-applicative has been applying them to CLI parsing since 2012. TypeScript's conditional types and discriminated union inference happen to be strong enough that this style of API doesn't ask you to write types by hand. You compose parsers, and the types work out. I started on Optique while trying to express this kind of structure in Fedify's CLI. The closest tool for the shape of problem I had was Cliffy, but it didn't fit[^cliffy]. Commander.js and Yargs couldn't express it the way I wanted either. So here we are. [^cliffy]: Two reasons. Cliffy is Deno-only, which rules it out for a CLI that needs to ship on Node.js and Bun. And even in Deno, Cliffy's API is declarative in roughly the same way as Yargs: options and constraints are declared against a runtime validator, not composed into types. The limits we've just been walking through on Commander.js and Yargs show up in Cliffy too, in a different dialect. CLI arguments are one place values come from; there are others So far this example is unrealistically argv-only. Real CLIs pull some values from environment variables (GITHUB_TOKEN, DATABASE_URL, AWS_REGION), some from config files because nobody wants to retype seventeen flags on every invocation, and some from interactive prompts because secrets shouldn't sit in shell history. On Commander.js or Yargs, each of those sources is usually a separate mechanism. Commander.js has .env() on options, which is fine for that one dimension. Config files get a separate library, or a hand-rolled loader at the top of main(). Interactive prompts are Inquirer.js, wired in somewhere. Each has its own validation path, and reconciling precedence between them is your problem. In 1.0, Optique treats these four sources as one problem. One parser, four sources Take the auth example again, but think about where each value really comes from in practice. API tokens come from environment variables; nobody types GITHUB_TOKEN on the command line. Passwords should be prompted, not left in shell history. OAuth client credentials get saved to a config file because they're project-scoped and you want them versioned (the client secret less so, but let's keep the example simple). Here's how you'd wire that up in Optique 1.0. import { object, or } from "@optique/core/constructs"; import { constant, option } from "@optique/core/primitives"; import { string } from "@optique/core/valueparser"; import { bindEnv, createEnvContext } from "@optique/env"; import { bindConfig, createConfigContext } from "@optique/config"; import { prompt } from "@optique/inquirer"; import { runAsync } from "@optique/run"; import { z } from "zod"; const envCtx = createEnvContext({ prefix: "MYAPP_" }); const cfgCtx = createConfigContext({ schema: z.object({ oauth: z.object({ clientId: z.string().optional(), clientSecret: z.string().optional(), }).optional(), }), }); const parser = or( object({ auth: constant("token" as const), token: bindEnv( // [!code highlight] option("--token", string()), { context: envCtx, key: "TOKEN", parser: string() }, ), }), object({ auth: constant("basic" as const), username: option("--username", string()), password: prompt( // [!code highlight] option("--password", string()), { type: "password", message: "Password:", mask: true }, ), }), object({ auth: constant("oauth" as const), clientId: bindConfig( // [!code highlight] option("--oauth-client-id", string()), { context: cfgCtx, key: (c) => c?.oauth?.clientId }, ), clientSecret: bindConfig( // [!code highlight] option("--oauth-client-secret", string()), { context: cfgCtx, key: (c) => c?.oauth?.clientSecret }, ), }), ); const parsed = await runAsync(parser, { contexts: [envCtx, cfgCtx] }); The parser structure hasn't changed. It's still three branches, each an object() of required fields. What changed is that each field is now wrapped with one or more of bindEnv(), bindConfig(), and prompt(). These wrappers don't alter what a field means; they describe where to look for its value if argv didn't supply one. Resolution order follows wrapper nesting from the inside out. Whatever the user put on the command line wins, then the environment variable, then the config file, then the prompt. If the user gave --token explicitly, MYAPP_TOKEN is ignored for this run. If they didn't but it's set in the environment, the prompt never fires. You can stack all four on a single option if you want; a common pattern is prompt(bindEnv(bindConfig(option(…), …), …), …), which gives you CLI then env then config then prompt on one value. The inferred type is unchanged from the pure-argv version above. The branches are still discriminated by auth. Every field in the selected branch is still string, not string | undefined. The type system has no idea that some of these values took a detour through the filesystem or a TTY before they got to you. A small related feature is fail<T>(). Sometimes a value shouldn't be exposed as a CLI flag at all; maybe it's a secret that should only come from config or env. bindConfig(fail<string>(), { … }) expresses that. The parser has no CLI surface for the field, but it still participates in the type, and it still feeds the config value into the result. The “express constraints through structure” idea earns its keep here. Teams who've wanted this combination on Commander.js or Yargs have historically had to stitch it together: .env() here, a config loader there, an Inquirer.js block inside the action handler, then a pile of if-statements reconciling what to believe when two sources disagree. The reconciliation code is where the bugs live. bindEnv(bindConfig(…)) is that reconciliation, but written once and tested once instead of re-implemented per CLI. Constraints that don't leak There's a subtler problem that I didn't fully appreciate until late in the 0.x cycle. Consider this: option("--port", integer({ min: 1024, max: 65535 })) At the CLI, the parser rejects --port 80. Good. Now wrap it in bindEnv(): bindEnv( option("--port", integer({ min: 1024, max: 65535 })), { context: envCtx, key: "PORT", parser: integer() }, // [!code warning] ) In 0.x, if the user left --port off and set PORT=80 in the environment, the value 80 would flow through untouched. The env-level parser here is integer() without bounds, so it accepted. The CLI-level parser's constraints never ran on values that didn't arrive via argv. Config files had the same hole: a constraint written into the CLI option could be silently bypassed by a different source. This isn't the sort of bug that shows up in the tests you'd normally write. It shows up when somebody sets an environment variable in production and a value that should've been rejected sails through to the rest of the application. 1.0 adds a Parser.validateValue() method that fallback paths use. Environment values, config values, and defaults are now re-validated against the CLI parser's constraints on their way in. The rule is consistent: if a value wouldn't be accepted from argv, it's not accepted from anywhere else either. I'd always described Optique as a “parse, don't validate” library. The phrase is shorthand for an approach where you don't run a separate validation pass after parsing; the parser itself rejects invalid input up front. 0.x mostly delivered on that for argv. 1.0 extends it to every source a value can enter from. When Optique isn't the right choice If your CLI has four flags and no subcommands, use Commander.js. You'll be done faster, your bundle will be smaller, and whoever reviews the PR won't have to learn a new mental model. Optique pays off once you have nontrivial structure: mutually exclusive groups, co-required options, values that arrive from multiple sources, subcommands with per-subcommand option sets. Below that complexity bar, its abstractions are overhead you're paying for no return. If you have a large Commander.js codebase that works, don't port it. The path from imperative configuration to parser combinators isn't a three-hour rewrite, and the bug you introduce during the rewrite is rarely worth the cleaner types afterward. I'd reach for Optique on a new CLI, or on a new subcommand being added to an existing app, not on a retroactive migration. If you need a specific Commander.js or Yargs plugin that does something exotic, Optique's ecosystem is smaller. I expect that to change. I shouldn't pretend it isn't smaller today. There's a more uncomfortable question too. If your CLI is complex enough to benefit from Optique, maybe the CLI itself has too many knobs. Optique helps you build a TV remote where every button is correctly wired and no two conflict, but it doesn't ask whether the remote should have that many buttons in the first place. If you find yourself reaching for deeply nested or() trees, consider simplifying the interface before modeling it more precisely. I think about this sometimes. Some interfaces genuinely need cockpit-level density: database admin tools, deployment pipelines, build systems. Optique is at its best when the complexity is real. When it's accumulated through feature creep, no parser library will save you. 1.0 means I can stop adding footnotes Through most of 0.x, recommending Optique to anyone required footnotes. The env package isn't stable yet. The prompt API might change. runWithConfig is on the way out, use X for now. This constraint doesn't carry across env boundaries, so double-check. The library worked, but the surface I was asking people to commit to was moving. That's what 1.0 changes for me. I can send someone the docs link without a page of caveats first. Documentation is at optique.dev. The 1.0 announcement and changelog are on GitHub. Issues and discussions are the place to tell me where the sharp edges still are.
  • #Optique 1.0.0을 릴리스했습니다.

    Mondo optique typescript cli deno node bun
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    #Optique 1.0.0을 릴리스했습니다. Haskell의 optparse-applicative 스타일의 #TypeScript #CLI 파서가 필요해서 만들었습니다. 작은 타입 파서들을 조합하면 TypeScript가 결과 타입을 자동으로 추론합니다. 서브커맨드, 옵션 간 의존성, 셸 완성, 맨(man) 페이지 생성 등을 지원하고, #Deno, #Node.js, #Bun 등에서 동작합니다. 이번 버전에서는 @optique/env (환경 변수 폴백) 패키지와 @optique/inquirer (Inquirer.js 프롬프트 폴백) 패키지를 추가했습니다. API의 어색한 부분들도 많이 정리하고, 다섯 가지 셸의 완성 스크립트 버그도 한꺼번에 잡았습니다. JSR과 npm에서 설치하실 수 있습니다. https://github.com/dahlia/optique/discussions/796
  • #Optique 1.0.0 is out!

    Mondo bun cli deno node optique typescript
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    #Optique 1.0.0 is out! If you build #CLI tools with #TypeScript, it might be worth a look. I started it because I wanted a TypeScript CLI parser that felt more like optparse-applicative than the usual builder-style APIs. You build up small typed parsers, compose them, and TypeScript infers the result. It handles subcommands, option dependencies, shell completion, and man pages, and it runs on #Deno, #Node.js, and #Bun. For 1.0 I added @optique/env, so env vars can fill in missing flags, and @optique/inquirer, so missing values can fall back to Inquirer.js prompts. I also cleaned up a lot of awkward API edges and fixed a long backlog of completion bugs across five shells. Packages are on JSR and npm. https://github.com/dahlia/optique/discussions/796
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    How to record command line #CLI sessions and view them later?How can I explain what exactly I'm doing to accomplish X on the command line to my colleagues, e.g. to my holiday replacement? I don't like the idea of making clumsy videos, without a chance to copy & paste text out of it.I know, there's 'script' , but script doesn't handle TUIs well. Solution: #asciinema: Record with `ascinema rec` and replay with `ascinema play`, optionally upload to asciinema.org similar to Youtube.Beautiful #Asciiart can be published this way was well, have a look:https://asciinema.org/a/746358
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    @Larvitz You must tell in your article about Alt-[0-9] (really Alt-n where n is a number) feature when you talk about ALT-F, ALT-B and ALT-. , CTRL-W and maybe more ...It allow you to modify the target. Move n words before / after o select the n th argument, removing n words ... Great post!!
  • [Optique] just crossed 600 GitHub stars!

    Mondo cli optique typescript
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    Optique just crossed 600 GitHub stars! For those unfamiliar: #Optique is a #CLI parsing library for #TypeScript that takes a parser combinator approach, inspired by Haskell's optparse-applicative. The core idea is “parse, don't validate”—you express constraints like mutually exclusive options or dependent flags through types, and TypeScript infers the rest automatically. No runtime validation boilerplate needed. It started as something I built out of frustration while working on Fedify, an ActivityPub framework, when no existing CLI library could express the constraints I needed in a type-safe way. Apparently I wasn't the only one who felt that way. Thank you all for the support. https://github.com/dahlia/optique
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    @darrenburns I’ve been desperate for more options like this. Just created a directory to make my own today 😅
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    @tommi @xpub WHAT WILL I GET IF I WIN
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    🎉 ratatui_ruby v1.0.0-beta.1 is out!Ruby bindings to Ratatui, the Rust TUI library. Native performance, Ruby expressiveness.Why 1.0? The API is stable. Projects like Sidekiq are building on it. Beta means we need real-world usage to find edge-case bugs.New website: https://www.ratatui-ruby.devgem install ratatui_ruby --preHelp shape the 1.0.0 final release: try it and report bugs!rubygems.org/gems/ratatui_ruby#ruby #rust #tui #cli #ratatui #programming #software #coding #ui
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    Consider Git's -C option: git -C /path/to/repo checkout <TAB> When you hit <kbd>Tab</kbd>, Git completes branch names from /path/to/repo, not your current directory. The completion is context-aware—it depends on the value of another option. Most CLI parsers can't do this. They treat each option in isolation, so completion for --branch has no way of knowing the --repo value. You end up with two unpleasant choices: either show completions for all possible branches across all repositories (useless), or give up on completion entirely for these options. Optique 0.10.0 introduces a dependency system that solves this problem while preserving full type safety. Static dependencies with or() Optique already handles certain kinds of dependent options via the or() combinator: import { flag, object, option, or, string } from "@optique/core"; const outputOptions = or( object({ json: flag("--json"), pretty: flag("--pretty"), }), object({ csv: flag("--csv"), delimiter: option("--delimiter", string()), }), ); TypeScript knows that if json is true, you'll have a pretty field, and if csv is true, you'll have a delimiter field. The parser enforces this at runtime, and shell completion will suggest --pretty only when --json is present. This works well when the valid combinations are known at definition time. But it can't handle cases where valid values depend on runtime input—like branch names that vary by repository. Runtime dependencies Common scenarios include: A deployment CLI where --environment affects which services are available A database tool where --connection affects which tables can be completed A cloud CLI where --project affects which resources are shown In each case, you can't know the valid values until you know what the user typed for the dependency option. Optique 0.10.0 introduces dependency() and derive() to handle exactly this. The dependency system The core idea is simple: mark one option as a dependency source, then create derived parsers that use its value. import { choice, dependency, message, object, option, string, } from "@optique/core"; function getRefsFromRepo(repoPath: string): string[] { // In real code, this would read from the Git repository return ["main", "develop", "feature/login"]; } // Mark as a dependency source const repoParser = dependency(string()); // Create a derived parser const refParser = repoParser.derive({ metavar: "REF", factory: (repoPath) => { const refs = getRefsFromRepo(repoPath); return choice(refs); }, defaultValue: () => ".", }); const parser = object({ repo: option("--repo", repoParser, { description: message`Path to the repository`, }), ref: option("--ref", refParser, { description: message`Git reference`, }), }); The factory function is where the dependency gets resolved. It receives the actual value the user provided for --repo and returns a parser that validates against refs from that specific repository. Under the hood, Optique uses a three-phase parsing strategy: Parse all options in a first pass, collecting dependency values Call factory functions with the collected values to create concrete parsers Re-parse derived options using those dynamically created parsers This means both validation and completion work correctly—if the user has already typed --repo /some/path, the --ref completion will show refs from that path. Repository-aware completion with @optique/git The @optique/git package provides async value parsers that read from Git repositories. Combined with the dependency system, you can build CLIs with repository-aware completion: import { command, dependency, message, object, option, string, } from "@optique/core"; import { gitBranch } from "@optique/git"; const repoParser = dependency(string()); const branchParser = repoParser.deriveAsync({ metavar: "BRANCH", factory: (repoPath) => gitBranch({ dir: repoPath }), defaultValue: () => ".", }); const checkout = command( "checkout", object({ repo: option("--repo", repoParser, { description: message`Path to the repository`, }), branch: option("--branch", branchParser, { description: message`Branch to checkout`, }), }), ); Now when you type my-cli checkout --repo /path/to/project --branch <TAB>, the completion will show branches from /path/to/project. The defaultValue of "." means that if --repo isn't specified, it falls back to the current directory. Multiple dependencies Sometimes a parser needs values from multiple options. The deriveFrom() function handles this: import { choice, dependency, deriveFrom, message, object, option, } from "@optique/core"; function getAvailableServices(env: string, region: string): string[] { return [`${env}-api-${region}`, `${env}-web-${region}`]; } const envParser = dependency(choice(["dev", "staging", "prod"] as const)); const regionParser = dependency(choice(["us-east", "eu-west"] as const)); const serviceParser = deriveFrom({ dependencies: [envParser, regionParser] as const, metavar: "SERVICE", factory: (env, region) => { const services = getAvailableServices(env, region); return choice(services); }, defaultValues: () => ["dev", "us-east"] as const, }); const parser = object({ env: option("--env", envParser, { description: message`Deployment environment`, }), region: option("--region", regionParser, { description: message`Cloud region`, }), service: option("--service", serviceParser, { description: message`Service to deploy`, }), }); The factory receives values in the same order as the dependency array. If some dependencies aren't provided, Optique uses the defaultValues. Async support Real-world dependency resolution often involves I/O—reading from Git repositories, querying APIs, accessing databases. Optique provides async variants for these cases: import { dependency, string } from "@optique/core"; import { gitBranch } from "@optique/git"; const repoParser = dependency(string()); const branchParser = repoParser.deriveAsync({ metavar: "BRANCH", factory: (repoPath) => gitBranch({ dir: repoPath }), defaultValue: () => ".", }); The @optique/git package uses isomorphic-git under the hood, so gitBranch(), gitTag(), and gitRef() all work in both Node.js and Deno. There's also deriveSync() for when you need to be explicit about synchronous behavior, and deriveFromAsync() for multiple async dependencies. Wrapping up The dependency system lets you build CLIs where options are aware of each other—not just for validation, but for shell completion too. You get type safety throughout: TypeScript knows the relationship between your dependency sources and derived parsers, and invalid combinations are caught at compile time. This is particularly useful for tools that interact with external systems where the set of valid values isn't known until runtime. Git repositories, cloud providers, databases, container registries—anywhere the completion choices depend on context the user has already provided. This feature will be available in Optique 0.10.0. To try the pre-release: deno add jsr:@optique/core@0.10.0-dev.311 Or with npm: npm install @optique/core@0.10.0-dev.311 See the documentation for more details.
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    We've all been there. You start a quick TypeScript CLI with process.argv.slice(2), add a couple of options, and before you know it you're drowning in if/else blocks and parseInt calls. It works, until it doesn't. In this guide, we'll move from manual argument parsing to a fully type-safe CLI with subcommands, mutually exclusive options, and shell completion. The naïve approach: parsing process.argv Let's start with the most basic approach. Say we want a greeting program that takes a name and optionally repeats the greeting: // greet.ts const args = process.argv.slice(2); let name: string | undefined; let count = 1; for (let i = 0; i < args.length; i++) { if (args[i] === "--name" || args[i] === "-n") { name = args[++i]; } else if (args[i] === "--count" || args[i] === "-c") { count = parseInt(args[++i], 10); } } if (!name) { console.error("Error: --name is required"); process.exit(1); } for (let i = 0; i < count; i++) { console.log(`Hello, ${name}!`); } Run node greet.js --name Alice --count 3 and you'll get three greetings. But this approach is fragile. count could be NaN if someone passes --count foo, and we'd silently proceed. There's no help text. If someone passes --name without a value, we'd read the next option as the name. And the boilerplate grows fast with each new option. The traditional libraries You've probably heard of Commander.js and Yargs. They've been around for years and solve the basic problems: // With Commander.js import { program } from "commander"; program .requiredOption("-n, --name <n>", "Name to greet") .option("-c, --count <number>", "Number of times to greet", "1") .parse(); const opts = program.opts(); These libraries handle help text, option parsing, and basic validation. But they were designed before TypeScript became mainstream, and the type safety is bolted on rather than built in. The real problem shows up when you need mutually exclusive options. Say your CLI works either in "server mode" (with --port and --host) or "client mode" (with --url). With these libraries, you end up with a config object where all options are potentially present, and you're left writing runtime checks to ensure the user didn't mix incompatible flags. TypeScript can't help you because the types don't reflect the actual constraints. Enter Optique Optique takes a different approach. Instead of configuring options declaratively, you build parsers by composing smaller parsers together. The types flow naturally from this composition, so TypeScript always knows exactly what shape your parsed result will have. Optique works across JavaScript runtimes: Node.js, Deno, and Bun are all supported. The core parsing logic has no runtime-specific dependencies, so you can even use it in browsers if you need to parse CLI-like arguments in a web context. Let's rebuild our greeting program: import { object } from "@optique/core/constructs"; import { option } from "@optique/core/primitives"; import { integer, string } from "@optique/core/valueparser"; import { withDefault } from "@optique/core/modifiers"; import { run } from "@optique/run"; const parser = object({ name: option("-n", "--name", string()), count: withDefault(option("-c", "--count", integer({ min: 1 })), 1), }); const config = run(parser); // config is typed as { name: string; count: number } for (let i = 0; i < config.count; i++) { console.log(`Hello, ${config.name}!`); } Types are inferred automatically. config.name is string, not string | undefined. config.count is number, guaranteed to be at least 1. Validation is built in: integer({ min: 1 }) rejects non-integers and values below 1 with clear error messages. Help text is generated automatically, and the run() function handles errors and exits with appropriate codes. Install it with your package manager of choice: npm add @optique/core @optique/run # or: pnpm add, yarn add, bun add, deno add jsr:@optique/core jsr:@optique/run Building up: a file converter Let's build something more realistic: a file converter that reads from an input file, converts to a specified format, and writes to an output file. import { object } from "@optique/core/constructs"; import { optional, withDefault } from "@optique/core/modifiers"; import { argument, option } from "@optique/core/primitives"; import { choice, string } from "@optique/core/valueparser"; import { run } from "@optique/run"; const parser = object({ input: argument(string({ metavar: "INPUT" })), output: option("-o", "--output", string({ metavar: "FILE" })), format: withDefault( option("-f", "--format", choice(["json", "yaml", "toml"])), "json" ), pretty: option("-p", "--pretty"), verbose: option("-v", "--verbose"), }); const config = run(parser, { help: "both", version: { mode: "both", value: "1.0.0" }, }); // config.input: string // config.output: string // config.format: "json" | "yaml" | "toml" // config.pretty: boolean // config.verbose: boolean The type of config.format isn't just string. It's the union "json" | "yaml" | "toml". TypeScript will catch typos like config.format === "josn" at compile time. The choice() parser is useful for any option with a fixed set of valid values: log levels, output formats, environment names, and so on. You get both runtime validation (invalid values are rejected with helpful error messages) and compile-time checking (TypeScript knows the exact set of possible values). Mutually exclusive options Now let's tackle the case that trips up most CLI libraries: mutually exclusive options. Say our tool can either run as a server or connect as a client, but not both: import { object, or } from "@optique/core/constructs"; import { withDefault } from "@optique/core/modifiers"; import { argument, constant, option } from "@optique/core/primitives"; import { integer, string, url } from "@optique/core/valueparser"; import { run } from "@optique/run"; const parser = or( // Server mode object({ mode: constant("server"), port: option("-p", "--port", integer({ min: 1, max: 65535 })), host: withDefault(option("-h", "--host", string()), "0.0.0.0"), }), // Client mode object({ mode: constant("client"), url: argument(url()), }), ); const config = run(parser); The or() combinator tries each alternative in order. The first one that successfully parses wins. The constant() parser adds a literal value to the result without consuming any input, which serves as a discriminator. TypeScript infers a discriminated union: type Config = | { mode: "server"; port: number; host: string } | { mode: "client"; url: URL }; Now you can write type-safe code that handles each mode: if (config.mode === "server") { console.log(`Starting server on ${config.host}:${config.port}`); } else { console.log(`Connecting to ${config.url.hostname}`); } Try accessing config.url in the server branch. TypeScript won't let you. The compiler knows that when mode is "server", only port and host exist. This is the key difference from configuration-based libraries. With Commander or Yargs, you'd get a type like { port?: number; host?: string; url?: string } and have to check at runtime which combination of fields is actually present. With Optique, the types match the actual constraints of your CLI. Subcommands For larger tools, you'll want subcommands. Optique handles this with the command() parser: import { object, or } from "@optique/core/constructs"; import { optional } from "@optique/core/modifiers"; import { argument, command, constant, option } from "@optique/core/primitives"; import { string } from "@optique/core/valueparser"; import { run } from "@optique/run"; const parser = or( command("add", object({ action: constant("add"), key: argument(string({ metavar: "KEY" })), value: argument(string({ metavar: "VALUE" })), })), command("remove", object({ action: constant("remove"), key: argument(string({ metavar: "KEY" })), })), command("list", object({ action: constant("list"), pattern: optional(option("-p", "--pattern", string())), })), ); const result = run(parser, { help: "both" }); switch (result.action) { case "add": console.log(`Adding ${result.key}=${result.value}`); break; case "remove": console.log(`Removing ${result.key}`); break; case "list": console.log(`Listing${result.pattern ? ` (filter: ${result.pattern})` : ""}`); break; } Each subcommand gets its own help text. Run myapp add --help and you'll see only the options relevant to add. Run myapp --help and you'll see a summary of all available commands. The pattern here is the same as mutually exclusive options: or() to combine alternatives, constant() to add a discriminator. This consistency is one of Optique's strengths. Once you understand the basic combinators, you can build arbitrarily complex CLI structures by composing them. Shell completion Optique has built-in shell completion for Bash, zsh, fish, PowerShell, and Nushell. Enable it by passing completion: "both" to run(): const config = run(parser, { help: "both", version: { mode: "both", value: "1.0.0" }, completion: "both", }); Users can then generate completion scripts: $ myapp --completion bash >> ~/.bashrc $ myapp --completion zsh >> ~/.zshrc $ myapp --completion fish > ~/.config/fish/completions/myapp.fish The completions are context-aware. They know about your subcommands, option values, and choice() alternatives. Type myapp --format <TAB> and you'll see json, yaml, toml as suggestions. Type myapp a<TAB> and it'll complete to myapp add. Completion support is often an afterthought in CLI tools, but it makes a real difference in user experience. With Optique, you get it essentially for free. Integrating with validation libraries Already using Zod for validation in your project? The @optique/zod package lets you reuse those schemas as CLI value parsers: import { z } from "zod"; import { zod } from "@optique/zod"; import { option } from "@optique/core/primitives"; const email = option("--email", zod(z.string().email())); const port = option("--port", zod(z.coerce.number().int().min(1).max(65535))); Your existing validation logic just works. The Zod error messages are passed through to the user, so you get the same helpful feedback you're used to. Prefer Valibot? The @optique/valibot package works the same way: import * as v from "valibot"; import { valibot } from "@optique/valibot"; import { option } from "@optique/core/primitives"; const email = option("--email", valibot(v.pipe(v.string(), v.email()))); Valibot's bundle size is significantly smaller than Zod's (~10KB vs ~52KB), which can matter for CLI tools where startup time is noticeable. Tips A few things I've learned building CLIs with Optique: Start simple. Begin with object() and basic options. Add or() for mutually exclusive groups only when you need them. It's easy to over-engineer CLI parsers. Use descriptive metavars. Instead of string(), write string({ metavar: "FILE" }) or string({ metavar: "URL" }). The metavar appears in help text and error messages, so it's worth the extra few characters. Leverage withDefault(). It's better than making options optional and checking for undefined everywhere. Your code becomes cleaner when you can assume values are always present. Test your parser. Optique's core parsing functions work without process.argv, so you can unit test your parser logic: import { parse } from "@optique/core/parser"; const result = parse(parser, ["--name", "Alice", "--count", "3"]); if (result.success) { assert.equal(result.value.name, "Alice"); assert.equal(result.value.count, 3); } This is especially valuable for complex parsers with many edge cases. Going further We've covered the fundamentals, but Optique has more to offer: Async value parsers for validating against external sources, like checking if a Git branch exists or if a URL is reachable Path validation with path() for checking file existence, directory structure, and file extensions Custom value parsers for domain-specific types (though Zod/Valibot integration is usually easier) Reusable option groups with merge() for sharing common options across subcommands The @optique/temporal package for parsing dates and times using the Temporal API Check out the documentation for the full picture. The tutorial walks through the concepts in more depth, and the cookbook has patterns for common scenarios. That's it Building CLIs in TypeScript doesn't have to mean fighting with types or writing endless runtime validation. Optique lets you express constraints in a way that TypeScript actually understands, so the compiler catches mistakes before they reach production. The source is on GitHub, and packages are available on both npm and JSR. Questions or feedback? Find me on the fediverse or open an issue on the GitHub repo.
  • #Optique 0.9.0 is here!

    Mondo cli async optique typescript
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    #Optique 0.9.0 is here! This release brings #async/await support to #CLI parsers. Now you can validate input against external resources—databases, APIs, Git repositories—directly at parse time, with full #TypeScript type safety. The new @optique/git package showcases this: validate branch names, tags, and commit SHAs against an actual Git repo, complete with shell completion suggestions. Other highlights: Hidden option support for deprecated/internal flags Numeric choices in choice() Security fix for shell completion scripts Fully backward compatible—your existing parsers work unchanged. https://github.com/dahlia/optique/discussions/75
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    I recently added sync/async mode support to Optique, a type-safe CLI parser for TypeScript. It turned out to be one of the trickier features I've implemented—the object() combinator alone needed to compute a combined mode from all its child parsers, and TypeScript's inference kept hitting edge cases. What is Optique? Optique is a type-safe, combinatorial CLI parser for TypeScript, inspired by Haskell's optparse-applicative. Instead of decorators or builder patterns, you compose small parsers into larger ones using combinators, and TypeScript infers the result types. Here's a quick taste: import { object } from "@optique/core/constructs"; import { argument, option } from "@optique/core/primitives"; import { string, integer } from "@optique/core/valueparser"; import { run } from "@optique/run"; const cli = object({ name: argument(string()), count: option("-n", "--count", integer()), }); // TypeScript infers: { name: string; count: number | undefined } const result = run(cli); // sync by default The type inference works through arbitrarily deep compositions—in most cases, you don't need explicit type annotations. How it started Lucas Garron (@lgarron@mastodon.social) opened an issue requesting async support for shell completions. He wanted to provide <kbd>Tab</kbd>-completion suggestions by running shell commands like git for-each-ref to list branches and tags. // Lucas's example: fetching Git branches and tags in parallel const [branches, tags] = await Promise.all([ $`git for-each-ref --format='%(refname:short)' refs/heads/`.text(), $`git for-each-ref --format='%(refname:short)' refs/tags/`.text(), ]); At first, I didn't like the idea. Optique's entire API was synchronous, which made it simpler to reason about and avoided the “async infection” problem where one async function forces everything upstream to become async. I argued that shell completion should be near-instantaneous, and if you need async data, you should cache it at startup. But Lucas pushed back. The filesystem is a database, and many useful completions inherently require async work—Git refs change constantly, and pre-caching everything at startup doesn't scale for large repos. Fair point. What I needed to solve So, how do you support both sync and async execution modes in a composable parser library while maintaining type safety? The key requirements were: parse() returns T or Promise<T> complete() returns T or Promise<T> suggest() returns Iterable<T> or AsyncIterable<T> When combining parsers, if any parser is async, the combined result must be async Existing sync code should continue to work unchanged The fourth requirement is the tricky one. Consider this: const syncParser = flag("--verbose"); const asyncParser = option("--branch", asyncValueParser); // What's the type of this? const combined = object({ verbose: syncParser, branch: asyncParser }); The combined parser should be async because one of its fields is async. This means we need type-level logic to compute the combined mode. Five design options I explored five different approaches, each with its own trade-offs. Option A: conditional types with mode parameter Add a mode type parameter to Parser and use conditional types: type Mode = "sync" | "async"; type ModeValue<M extends Mode, T> = M extends "async" ? Promise<T> : T; interface Parser<M extends Mode, TValue, TState> { parse(context: ParserContext<TState>): ModeValue<M, ParserResult<TState>>; // ... } The challenge is computing combined modes: type CombineModes<T extends Record<string, Parser<any, any, any>>> = T[keyof T] extends Parser<infer M, any, any> ? M extends "async" ? "async" : "sync" : never; Option B: mode parameter with default value A variant of Option A, but place the mode parameter first with a default of "sync": interface Parser<M extends Mode = "sync", TValue, TState> { readonly $mode: M; // ... } The default value maintains backward compatibility—existing user code keeps working without changes. Option C: separate interfaces Define completely separate Parser and AsyncParser interfaces with explicit conversion: interface Parser<TValue, TState> { /* sync methods */ } interface AsyncParser<TValue, TState> { /* async methods */ } function toAsync<T, S>(parser: Parser<T, S>): AsyncParser<T, S>; Simpler to understand, but requires code duplication and explicit conversions. Option D: union return types for suggest() only The minimal approach. Only allow suggest() to be async: interface Parser<TValue, TState> { parse(context: ParserContext<TState>): ParserResult<TState>; // always sync suggest(context: ParserContext<TState>, prefix: string): Iterable<Suggestion> | AsyncIterable<Suggestion>; // can be either } This addresses the original use case but doesn't help if async parse() is ever needed. Option E: fp-ts style HKT simulation Use the technique from fp-ts to simulate Higher-Kinded Types: interface URItoKind<A> { Identity: A; Promise: Promise<A>; } type Kind<F extends keyof URItoKind<any>, A> = URItoKind<A>[F]; interface Parser<F extends keyof URItoKind<any>, TValue, TState> { parse(context: ParserContext<TState>): Kind<F, ParserResult<TState>>; } The most flexible approach, but with a steep learning curve. Testing the idea Rather than commit to an approach based on theoretical analysis, I created a prototype to test how well TypeScript handles the type inference in practice. I published my findings in the GitHub issue: Both approaches correctly handle the “any async → all async” rule at the type level. (…) Complex conditional types like ModeValue<CombineParserModes<T>, ParserResult<TState>> sometimes require explicit type casting in the implementation. This only affects library internals. The user-facing API remains clean. The prototype validated that Option B (explicit mode parameter with default) would work. I chose it for these reasons: Backward compatible: The default "sync" keeps existing code working Explicit: The mode is visible in both types and runtime (via a $mode property) Debuggable: Easy to inspect the current mode at runtime Better IDE support: Type information is more predictable How CombineModes works The CombineModes type computes whether a combined parser should be sync or async: type CombineModes<T extends readonly Mode[]> = "async" extends T[number] ? "async" : "sync"; This type checks if "async" is present anywhere in the tuple of modes. If so, the result is "async"; otherwise, it's "sync". For combinators like object(), I needed to extract modes from parser objects and combine them: // Extract the mode from a single parser type ParserMode<T> = T extends Parser<infer M, unknown, unknown> ? M : never; // Combine modes from all values in a record of parsers type CombineObjectModes<T extends Record<string, Parser<Mode, unknown, unknown>>> = CombineModes<{ [K in keyof T]: ParserMode<T[K]> }[keyof T][]>; Runtime implementation The type system handles compile-time safety, but the implementation also needs runtime logic. Each parser has a $mode property that indicates its execution mode: const syncParser = option("-n", "--name", string()); console.log(syncParser.$mode); // "sync" const asyncParser = option("-b", "--branch", asyncValueParser); console.log(asyncParser.$mode); // "async" Combinators compute their mode at construction time: function object<T extends Record<string, Parser<Mode, unknown, unknown>>>( parsers: T ): Parser<CombineObjectModes<T>, ObjectValue<T>, ObjectState<T>> { const parserKeys = Reflect.ownKeys(parsers); const combinedMode: Mode = parserKeys.some( (k) => parsers[k as keyof T].$mode === "async" ) ? "async" : "sync"; // ... implementation } Refining the API Lucas suggested an important refinement during our discussion. Instead of having run() automatically choose between sync and async based on the parser mode, he proposed separate functions: Perhaps run(…) could be automatic, and runSync(…) and runAsync(…) could enforce that the inferred type matches what is expected. So we ended up with: run(): automatic based on parser mode runSync(): enforces sync mode at compile time runAsync(): enforces async mode at compile time // Automatic: returns T for sync parsers, Promise<T> for async const result1 = run(syncParser); // string const result2 = run(asyncParser); // Promise<string> // Explicit: compile-time enforcement const result3 = runSync(syncParser); // string const result4 = runAsync(asyncParser); // Promise<string> // Compile error: can't use runSync with async parser const result5 = runSync(asyncParser); // Type error! I applied the same pattern to parse()/parseSync()/parseAsync() and suggest()/suggestSync()/suggestAsync() in the facade functions. Creating async value parsers With the new API, creating an async value parser for Git branches looks like this: import type { Suggestion } from "@optique/core/parser"; import type { ValueParser, ValueParserResult } from "@optique/core/valueparser"; function gitRef(): ValueParser<"async", string> { return { $mode: "async", metavar: "REF", parse(input: string): Promise<ValueParserResult<string>> { return Promise.resolve({ success: true, value: input }); }, format(value: string): string { return value; }, async *suggest(prefix: string): AsyncIterable<Suggestion> { const { $ } = await import("bun"); const [branches, tags] = await Promise.all([ $`git for-each-ref --format='%(refname:short)' refs/heads/`.text(), $`git for-each-ref --format='%(refname:short)' refs/tags/`.text(), ]); for (const ref of [...branches.split("\n"), ...tags.split("\n")]) { const trimmed = ref.trim(); if (trimmed && trimmed.startsWith(prefix)) { yield { kind: "literal", text: trimmed }; } } }, }; } Notice that parse() returns Promise.resolve() even though it's synchronous. This is because the ValueParser<"async", T> type requires all methods to use async signatures. Lucas pointed out this is a minor ergonomic issue. If only suggest() needs to be async, you still have to wrap parse() in a Promise. I considered per-method mode granularity (e.g., ValueParser<ParseMode, SuggestMode, T>), but the implementation complexity would multiply substantially. For now, the workaround is simple enough: // Option 1: Use Promise.resolve() parse(input) { return Promise.resolve({ success: true, value: input }); } // Option 2: Mark as async and suppress the linter // biome-ignore lint/suspicious/useAwait: sync implementation in async ValueParser async parse(input) { return { success: true, value: input }; } What it cost Supporting dual modes added significant complexity to Optique's internals. Every combinator needed updates: Type signatures grew more complex with mode parameters Mode propagation logic had to be added to every combinator Dual implementations were needed for sync and async code paths Type casts were sometimes necessary in the implementation to satisfy TypeScript For example, the object() combinator went from around 100 lines to around 250 lines. The internal implementation uses conditional logic based on the combined mode: if (combinedMode === "async") { return { $mode: "async" as M, // ... async implementation with Promise chains async parse(context) { // ... await each field's parse result }, }; } else { return { $mode: "sync" as M, // ... sync implementation parse(context) { // ... directly call each field's parse }, }; } This duplication is the cost of supporting both modes without runtime overhead for sync-only use cases. Lessons learned Listen to users, but validate with prototypes My initial instinct was to resist async support. Lucas's persistence and concrete examples changed my mind, but I validated the approach with a prototype before committing. The prototype revealed practical issues (like TypeScript inference limits) that pure design analysis would have missed. Backward compatibility is worth the complexity Making "sync" the default mode meant existing code continued to work unchanged. This was a deliberate choice. Breaking changes should require user action, not break silently. Unified mode vs per-method granularity I chose unified mode (all methods share the same sync/async mode) over per-method granularity. This means users occasionally write Promise.resolve() for methods that don't actually need async, but the alternative was multiplicative complexity in the type system. Designing in public The entire design process happened in a public GitHub issue. Lucas, Giuseppe, and others contributed ideas that shaped the final API. The runSync()/runAsync() distinction came directly from Lucas's feedback. Conclusion This was one of the more challenging features I've implemented in Optique. TypeScript's type system is powerful enough to encode the “any async means all async” rule at compile time, but getting there required careful design work and prototyping. What made it work: conditional types like ModeValue<M, T> can bridge the gap between sync and async worlds. You pay for it with implementation complexity, but the user-facing API stays clean and type-safe. Optique 0.9.0 with async support is currently in pre-release testing. If you'd like to try it, check out PR #70 or install the pre-release: npm add @optique/core@0.9.0-dev.212 @optique/run@0.9.0-dev.212 deno add --jsr @optique/core@0.9.0-dev.212 @optique/run@0.9.0-dev.212 Feedback is welcome!
  • Mutt is not nostalgic --it’s timeless

    Mondo unix cli mutt slackware
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    Mutt is not nostalgic --it’s timeless.Like nvi, ed, mailx, tmux, or Slackware itself.Some tools don’t age.They wait.#Unix #CLI #Mutt #Slackware
  • twitch-dl 3.3.0 - Twitch CLI downloader

    Mondo twitch cli
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    twitch-dl 3.3.0 - Twitch CLI downloaderThis version lets you download HD streams (1440p, 2160p, where available) without being logged in and regardless of your geo location.https://github.com/ihabunek/twitch-dl/releases/tag/3.3.0#twitch #cli
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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!