girard
A Gleam source type annotator, in Gleam!
Runs type inference over Gleam source — replicating the real Gleam compiler — and
reports the inferred type of every expression (by source span) together with each
top-level definition’s signature. Parsing is delegated to
glance.
The project is stable: its inferred types are validated differentially against
the real compiler across the hex ecosystem (see docs/PACKAGES.md).
Why?
The Gleam compiler infers a type for every expression, but it does not expose that information as a library: there is no API a tool can call to ask “what is the type of the expression at this span?”. girard exists to answer exactly that question.
That makes it a building block for language tooling written in Gleam:
- Editor tooling and language servers — code actions, hovers, and completions that need the type of the expression under the cursor. For example, a “wrap this element” refactor only makes sense when it knows the expression already has the element type it is wrapping.
- Linters and analyzers — rules that depend on types rather than syntax alone, and on which member a call resolves to, without reimplementing inference.
- Code generation and refactoring tools — codemods that must know a binding’s signature to rewrite call sites safely.
Because girard consumes glance ASTs and keys
its annotations by source span, a tool that already parses with glance can join
inferred types directly back onto its own AST — no compiler invocation, no AST
fork, no parsing twice.
Usage
Add the package to your Gleam project:
gleam add girard
Then annotate some source:
import girard
import gleam/io
const code = "pub fn double(x) { x + x }"
pub fn main() {
io.println(girard.report(code))
}
This program outputs the following to the console:
double: fn(Int) -> Int
19-20: Int
19-24: Int
23-24: Int
report is the quick, human-readable rendering. For programmatic use,
girard.annotate(code, girard.default_options()) returns a structured
AnnotatedModule: each top-level definition’s Scheme (in functions /
constants) and every expression’s Type keyed by its source span (in
expressions). These are structured girard values —
pattern-match on Named/Fn/Var/Tuple, or render one with
girard.type_to_string. The same record also reports what every reference
resolved to, in resolutions — see Resolving
references.
Command line
gleam run -- path/to/file.gleam # annotate a file
gleam run -- - # annotate stdin
cat file.gleam | gleam run # annotate stdin
gleam run -- --help # usage
Imports are resolved from src/ and build/packages (so import gleam/list
works); ill-typed input prints a single // error: … line.
Annotating a glance AST you already parsed
If you have already parsed the source with
glance, hand the glance.Module to
girard.annotate_module instead of a source string, so the source is parsed
once, not twice. Each expression Annotation carries a glance.Span — the same
span glance puts on every AST node — so you join the inferred types onto your own
tree by span, and inspect them as structured values.
import girard.{type Type, Fn, Named}
import glance
import gleam/dict.{type Dict}
import gleam/list
/// Parse once with glance, then annotate that AST. Returns each expression's
/// inferred type keyed by its glance span, to join onto your own AST nodes.
pub fn types_by_span(source: String) -> Dict(#(Int, Int), Type) {
let assert Ok(module) = glance.module(source)
let assert Ok(annotated) =
girard.annotate_module(module, girard.default_options())
list.fold(annotated.expressions, dict.new(), fn(acc, a) {
dict.insert(acc, #(a.span.start, a.span.end), a.type_)
})
}
/// A definition's generalized signature is a structured `Scheme` (`.type_` is
/// the type, `.vars` are its quantified type-variable ids) you can pattern-match.
pub fn return_kind(source: String, name: String) -> String {
let assert Ok(module) = glance.module(source)
let assert Ok(annotated) =
girard.annotate_module(module, girard.default_options())
case list.key_find(annotated.functions, name) {
Ok(scheme) ->
case scheme.type_ {
Fn(_args, Named("gleam", "Int", [])) -> "returns Int"
Fn(_args, Named("gleam", "List", [_])) -> "returns a List"
Fn(_args, other) -> girard.type_to_string(other)
other -> girard.type_to_string(other)
}
Error(_) -> "no such function"
}
}
(Imported modules are still parsed internally, via the resolver — only the module you pass is taken pre-parsed.)
Resolving references
Every AnnotatedModule also says which member each reference resolved to, in
resolutions. This is the question a linter or a rename asks: given
printer.println(…), is printer a record in scope or the module the import
bound?
import gleam/io as printer
pub type Logger {
Loud(println: fn(String) -> Nil)
Quiet(n: Int)
}
pub fn run(l: Logger) {
case l {
Loud(..) as printer -> printer.println("hi") // RecordField(Logger, "println")
Quiet(..) -> printer.println("quiet") // ModuleFn("gleam/io", "println")
}
}
Each ResolvedReference carries the access’s span — the same span the
Annotation for it carries — the label’s, the accessed value’s, and a
Resolution. A RecordField names the field’s label and the type of the
value it was read from, its receiver:
import girard
import gleam/list
pub fn members(source: String) -> List(String) {
let assert Ok(annotated) = girard.annotate(source, girard.default_options())
list.map(annotated.resolutions, fn(reference) {
case reference.resolution {
girard.RecordField(receiver, label) ->
girard.type_to_string(receiver) <> "." <> label
girard.ModuleFn(module, name) -> module <> "." <> name <> "()"
girard.ModuleConstant(module, name) -> module <> "." <> name
girard.Constructor(module, name) -> module <> "." <> name <> "{}"
girard.LocalVariable(name) -> name
girard.Unresolved(_) -> "?"
}
})
}
A module is always named by its canonical path, never the alias it was imported
under, and a constructor by the name it is declared with — Near, even where it
was imported as Close.
The contract is exact: an entry is recorded for every field access, wherever
it sits, and for every bare name in call position — the callee of a call, a
capture or a use, and a bare pipe target. Nothing else, so a name read outside
call position (let g = greet), the constructor of a record update or of a
pattern, and a tuple index have no entry. A span with no entry was therefore
either not a recorded position or one girard never walked — see Definitions
dropped for the target for the three
shapes that takes.
Definitions dropped for the target
Gleam’s @target picks a build, so a definition annotated for the target
girard is not typing is dropped before inference, exactly as the compiler
omits it. Those definitions are named in dropped, with the span glance gave
each one, sorted by span:
@target(javascript)
pub fn platform() { "js" } // Dropped("platform", Span(20, 46))
pub fn greet() { "hi" }
That closes the last gap in reading an absence. A span with no annotation and
no resolution is one of exactly three things, and a consumer can now tell them
apart: not a recorded position at all, inside a definition annotate_package
reports as skipped (with the error that declined it), or inside one dropped
for the target.
Only functions and constants are listed. @target drops imports, custom types
and type aliases too, but none has a body, so no missing annotation is ever
inside one.
Options: resolver and target
annotate, annotate_module, and annotate_package all take an Options
value. Build it from girard.default_options() (disk resolver, Erlang target)
and customize it with the with_* setters:
girard.default_options()
|> girard.with_target(girard.JavaScript) // type for the JS target
|> girard.with_resolver(fn(_) { Error(Nil) }) // resolve no imports
The resolver is fn(module_path) -> Result(source, Nil); inject your own to
resolve imports from anywhere (an in-memory map, a build tree, …).
Reusing imported interfaces
An editor or package-walking tool can carry a Cache between annotations so
shared imports are parsed and inferred once:
let options = girard.default_options()
let cache = girard.new_cache()
let #(first_result, cache) =
girard.annotate_with_cache(first_source, options, cache)
let #(second_result, cache) =
girard.annotate_with_cache(second_source, options, cache)
A cache assumes the same resolver and target for its whole lifetime. When an imported module changes, invalidate its module path before the next call:
let cache = girard.invalidate(cache, "my_app/shared")
invalidate removes only that module. If its public interface changed, also
invalidate cached importers, or start again from new_cache().
Annotating a whole package
girard.annotate_package(modules, options) annotates many modules in one pass,
inferring a shared import only once across the whole run. modules is a list of
#(module_path, glance.Module); the result maps each path to a ModuleResult
(.annotated plus .skipped; the definitions dropped for the target are in
.annotated.dropped, since a module annotated on its own drops them too).
Unlike annotate/annotate_module, it is best-effort per definition: a
top-level function or constant that does not type — along with anything that
depends on it — is listed in that module’s .skipped (with the error that
declined it) rather than failing the module, and every other definition is still
annotated. A strict check is just result.skipped == [].
The resolver must be able to load package-local imports as well as external
dependencies. Supplying a module in modules gives girard its AST to annotate;
it does not implicitly add that source to the resolver. An in-memory package can
provide both views from one source table:
import girard
import glance
import gleam/dict
import gleam/list
let sources =
dict.from_list([
#("my_app/a", "pub fn answer() { 42 }"),
#(
"my_app/b",
"import my_app/a\npub fn answer() { a.answer() }",
),
])
let resolver = fn(path) { dict.get(sources, path) }
let modules =
sources
|> dict.to_list
|> list.map(fn(entry) {
let #(path, source) = entry
let assert Ok(module) = glance.module(source)
#(path, module)
})
let options =
girard.default_options()
|> girard.with_resolver(resolver)
let results = girard.annotate_package(modules, options)
Limitations
-
Parsing is bounded by
glance. girard does not parse Gleam itself, so source thatglancecannot parse, girard cannot annotate. Since imports are resolved by parsing, an unparseable module also makes its dependents fail withunbound variable. Such failures areglancelimitations, not girard inference errors. -
Inferred types, not diagnostics. girard reproduces the types the compiler infers, but it is not a full type checker: when a module cannot be typed it returns a single
Errorfor the first problem found, not the compiler’s full set of diagnostics. -
Scoped to compilable code. Inference is validated against programs the real compiler accepts; packages that do not compile with current tooling are out of scope, since the compiler cannot type them either.
Contributing
See CONTRIBUTING.md for the development workflow,
differential testing, and code and commit conventions. See
AGENTS.md for the architecture, inference pipeline, state model,
and design decisions.
API documentation is available at https://hexdocs.pm/girard.