aleff

Algebraic effects for Python — deep and shallow, stateful, composable, multi-shot handlers.

Doc | PyPI | GitHub

from aleff import effect, create_handler

choose = effect("choose")
h = create_handler(choose)

@h.on(choose)
def _(k, *values):
    return sum((k(v) for v in values), [])

print(h(lambda: [choose("A", "B") + choose("C", "D")]))
# ['AC', 'AD', 'BC', 'BD']

Features

  • Deep handlers — effects propagate through nested function calls without annotation
  • Shallow handlers — handle an effect once, then delegate re-installation to the handler function; enables state machines, shift0/reset0, and strategy changes between invocations
  • Stateful handlers — handlers can maintain and update state across multiple effect invocations, either via mutable variables (deep) or re-installation with new state (shallow); enables get/put state, transactions, and reverse-mode AD
  • Multi-shot continuations — resume can be called multiple times in a single handler, enabling backtracking search, non-determinism, and other advanced patterns
  • Sync and async — both synchronous (Handler) and asynchronous (AsyncHandler) handlers are supported, with transparent bridging between the two
  • Effect composition — handler functions can perform effects themselves, dispatched to enclosing handlers; enables layered architectures and modular effect stacking
  • Dynamic wind — wind context manager establishes before/after guards that are re-invoked on multi-shot re-entry, with optional auto-management of context managers returned by before
  • Effect annotation — @effect(step1, step2) collects effect sets transitively from decorated functions
  • Introspection — effects(fn) and unhandled_effects(fn, h) for querying and validating effect coverage
  • Typed — effect parameters and return types are checked by type checkers (pyright)
  • No macros, no code generation — pure Python library built on greenlet and a small CPython C extension

Requirements

  • CPython >=3.12
    • Tested versions:
      • 3.12.13
      • 3.13.12
      • 3.14.3
      • 3.14.3t (free-threaded)
  • greenlet >= 3.3.2
  • Linux / macOS / Windows

Installation

# uv
uv add aleff

# pip
pip install aleff

Quick start

from aleff import effect, Effect, Resume, create_handler

# Define effects
read: Effect[[], str] = effect("read")
write: Effect[[str], int] = effect("write")

# Write business logic using effects
def run():
    s = read()
    return write(s)

# Provide handler implementations
h = create_handler(read, write)

@h.on(read)
def _read(k: Resume[str, int]):
    return k("file contents")

@h.on(write)
def _write(k: Resume[int, int], contents: str):
    print(f"writing: {contents}")
    return k(len(contents))

result = h(run)
print(result)  # 13

Multi-shot example

from aleff import effect, Effect, Handler, Resume, create_handler

choose: Effect[[int], int] = effect("choose")

h: Handler[list[int]] = create_handler(choose)

@h.on(choose)
def _choose(k: Resume[int, list[int]], n: int):
    # Resume once for each choice and collect all results
    results: list[int] = []
    for i in range(n):
        results += k(i)
    return results

def computation():
    x = choose(3)  # 0, 1, or 2
    y = choose(2)  # 0 or 1
    return [x * 10 + y]

result = h(computation)
print(result)  # [0, 1, 10, 11, 20, 21]

Effect composition

Handler functions can perform effects that are handled by enclosing handlers:

from aleff import effect, Effect, Resume, create_handler

log: Effect[[str], None] = effect("log")
parse: Effect[[str], int] = effect("parse")

# Outer handler: logging
h_log = create_handler(log)

@h_log.on(log)
def _log(k: Resume[None, int], msg: str):
    print(f"[LOG] {msg}")
    return k(None)

# Inner handler: parsing with logging
h_parse = create_handler(parse)

@h_parse.on(parse)
def _parse(k: Resume[int, int], s: str):
    log(f"parsing: {s}")       # handled by the outer handler
    return k(int(s))

result = h_log(lambda: h_parse(lambda: parse("42") + 1))
# prints: [LOG] parsing: 42
print(result)  # 43

Dynamic wind

The wind context manager establishes before/after guards around a dynamic extent. When a multi-shot continuation captured inside the with block is resumed, the before thunk is called again; when it exits, the after thunk runs.

from aleff import effect, Effect, Resume, Handler, create_handler, wind

choose: Effect[[], int] = effect("choose")
h: Handler[list[int]] = create_handler(choose)

@h.on(choose)
def _choose(k: Resume[int, list[int]]):
    return k(1) + k(2)

log: list[str] = []

def run() -> list[int]:
    with wind(lambda: log.append("before"), lambda: log.append("after")):
        return [choose() * 10]

result = h(run)
print(result)  # [10, 20]
print(log)     # ['before', 'after', 'before', 'after']

If before returns a context manager and auto_exit=True (the default), __enter__ and __exit__ are called automatically:

with wind(lambda: open("data.txt")) as ref:
    ref.unwrap().read()
# file is closed on exit

wind_range is a multi-shot-safe replacement for range() in for loops. Python's range() iterator is shared across shots and exhausted after the first; wind_range saves and restores the iterator position automatically:

with wind_range(n) as r:
    for i in r:
        v = choose()  # multi-shot safe

How it works

Effects are declared as typed values and invoked like regular function calls. A Handler intercepts these calls via greenlet-based context switching:

  1. Business logic runs in a greenlet
  2. When an effect is invoked, control switches to the handler
  3. The handler processes the effect and calls resume(value) to return a value
  4. If resume is called multiple times, each call restores a snapshot of the continuation's frames (multi-shot)
  5. If the handler returns without calling resume, the computation is aborted (early exit)

Because handlers use greenlets (not exceptions), the control flow is:

  • Transparent — no yield, await, or special syntax in business logic
  • Non-stack-cutting — code after resume in the handler runs after the continuation completes, enabling reverse-order execution (useful for backpropagation, transactions, etc.)

Multi-shot continuations are implemented via a CPython C extension (aleff._multishot.v1._aleff) that snapshots and restores interpreter frame chains.

Package structure

Package Description
aleff Default: re-exports aleff.multishot (multi-shot handlers)
aleff.multishot Multi-shot handlers with frame snapshot/restore
aleff.oneshot One-shot handlers (no C extension required)

Examples

See examples/ for demonstrations:

  • N-Queens — backtracking search via multi-shot continuations
  • Amb / Logic puzzle — Scheme-style amb operator and constraint solving (SICP Exercise 4.42)
  • Probability — exact discrete probability distributions via weighted multi-shot
  • Dependency injection — swap DB/email/logging implementations
  • Record/Replay — record effect results, replay without side effects
  • Transactions — buffer writes, commit on success, rollback on failure
  • Automatic differentiation — forward-mode (dual numbers) and reverse-mode (backpropagation) with the same math expressions
  • Shallow state machine — mutable state (get/put) and traffic light controller via shallow handler re-installation
  • shift/reset, shift0/reset0 — delimited continuations: deep = shift/reset, shallow = shift0/reset0, with generator example

API reference

Function / Class Description
effect("name") Create a new Effect
@effect(e1, e2, ...) Decorate a function to declare its effects
create_handler(*effects, shallow=False) Create a synchronous handler
create_async_handler(*effects, shallow=False) Create an asynchronous handler
h.on(effect) Register a handler function (decorator)
h(caller) Run caller with the handler active
effects(fn) Get the declared effect set of a function
unhandled_effects(fn, *handlers) Get effects not covered by the given handlers
Effect[P, R] Effect protocol (parameters P, return type R)
Handler[V] Sync handler protocol
AsyncHandler[V] Async handler protocol
Resume[R, V] Sync continuation (k(value) -> V)
ResumeAsync[R, V] Async continuation (await k(value) -> V)
wind(before, after, *, auto_exit=True) Dynamic wind context manager
wind_range(stop) / wind_range(start, stop, step) Multi-shot-safe range() for for loops
Ref[T] Reference wrapper returned by wind; call unwrap() to get the value

Development

From source:

git clone https://github.com/hnmr293/aleff.git
cd aleff
uv sync

# Run tests
uv run pytest

# Run tests on all supported Python versions
./run_tests.sh

# Format
uv run ruff format

# Lint
uv run pyright

License

aleff's original code is licensed under Apache-2.0. Portions of the CPython integration and continuation adapters are derived from CPython and remain subject to PSF-2.0. See LICENSE, NOTICE, and LICENSES/CPython.txt.

Project links

Data verified by PyPI on Sep 2, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Newer release available (0.5.0)

1 maintainer

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Avatar for hnmr from gravatar.com hnmr

Credits

Author: hnmr

GitHub Statistics

Data verified by PyPI on Sep 2, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

Apache-2.0 AND PSF-2.0
View SPDX License List

Requires

Python <3.15, >=3.12

Tags

Python greenlet algebraic-effects effects effect systems delimited-continuations multi-shot continuations stateful handlers deep handlers shallow handlers composable handlers

Classifiers

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0.5.0

17 files

This release

0.4.1 This release

17 files

0.4.0

17 files

0.3.2

17 files

0.3.1

17 files

0.3.0

13 files

0.2.0

9 files

0.1.0

1 file

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