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    @tommi @xpub WHAT WILL I GET IF I WIN
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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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    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!
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    @JenJen @brunogirin I think that might be where you customize the message that appears when you're offline, maybe?