Skip to main content

PyLoops

Unofficial Python SDK for Loops.so.

PyPI version Python 3.12+

Installation

pip install pyloops

Or with uv:

uv add pyloops

Quick Start

PyLoops offers two ways to interact with the Loops API:

High-Level API

import pyloops

# Configure once (or set LOOPS_API_KEY environment variable)
pyloops.configure(api_key="your_api_key_here")

# Get the client
client = pyloops.get_client()

# Upsert a contact
await client.upsert_contact(
    email="user@example.com",
    first_name="John",
    last_name="Doe",
    subscribed=True,
)

# Find a contact
contacts = await client.find_contact(email="user@example.com")

# Send an event
await client.send_event(
    event_name="user_signup",
    email="user@example.com",
    event_properties={"plan": "premium"},
)

# List mailing lists
mailing_lists = await client.list_mailing_lists()

Low-Level API

For more control, use the auto-generated low-level API directly:

from pyloops import AuthenticatedClient
from pyloops._generated.api.contacts import put_v1_contacts_update
from pyloops._generated.models import ContactUpdateRequest

# Note: the base URL must NOT include the "/v1" segment — it is now part of
# each endpoint path (e.g. /v1/contacts/update).
client = AuthenticatedClient(
    base_url="https://app.loops.so/api",
    token="your_api_key_here",
)

response = await put_v1_contacts_update.asyncio(
    client=client,
    body=ContactUpdateRequest(
        email="user@example.com",
        first_name="John",
        last_name="Doe"
    )
)

Authentication

All API calls require a Loops API key. Get your API key from your Loops account settings.

There are three ways to configure authentication:

  1. Environment variable:
export LOOPS_API_KEY="your_api_key_here"
  1. Module-level configuration:
import pyloops
pyloops.configure(api_key="your_api_key_here")
  1. Per-client configuration:
import pyloops
client = pyloops.LoopsClient(api_key="your_api_key_here")

Features

This SDK provides access to all Loops.so API endpoints:

  • Contacts: Create, update, find, and delete contacts
  • Contact Properties: Manage custom contact properties
  • Mailing Lists: View available mailing lists
  • Events: Trigger event-based emails
  • Transactional Emails: Send and list transactional emails
  • Sending IPs: Retrieve dedicated sending IP addresses

Safe Mode

When developing locally, you can enable safe mode to prevent accidentally sending emails or syncing contacts to real addresses. With safe mode enabled, only emails matching your allowed domains will be accepted — all others will raise a LoopsUnsafeEmailError.

import pyloops

pyloops.configure(
    api_key="your_api_key_here",
    safe_mode=True,
    safe_mode_allowed_domains=("@test.com", "@example.com", "@yourcompany.com"),
)

client = pyloops.get_client()

# This works
await client.send_transactional_email(
    transactional_id="welcome",
    email="dev@test.com",
)

# This raises LoopsUnsafeEmailError
await client.send_transactional_email(
    transactional_id="welcome",
    email="real-user@gmail.com",
)

You can also set it per-client:

client = pyloops.LoopsClient(
    api_key="your_api_key_here",
    safe_mode=True,
    safe_mode_allowed_domains=("@test.com",),
)

Testing

PyLoops ships a testing module that mocks all Loops API endpoints at the HTTP transport level using respx. Your real client code runs end-to-end, but no actual API requests leave the process.

Install with the testing extra:

pip install pyloops[testing]

Basic usage

import json
import pyloops
from pyloops.testing import loops_respx_mock

async def test_sends_welcome_email():
    with loops_respx_mock() as api:
        client = pyloops.get_client()
        await client.send_transactional_email(
            transactional_id="welcome",
            email="user@test.com",
            data_variables={"name": "Jan"},
        )

        # Inspect the HTTP request that pyloops made
        request = api["transactional"].calls[0].request
        body = json.loads(request.content)
        assert body["transactionalId"] == "welcome"
        assert body["email"] == "user@test.com"

Pytest fixture

import pytest
from pyloops.testing import loops_respx_mock

@pytest.fixture
def loops_api():
    with loops_respx_mock() as router:
        yield router

async def test_create_contact(loops_api):
    client = pyloops.get_client()
    result = await client.create_contact(email="new@test.com")
    assert result.success is True
    assert loops_api["create_contact"].called

Simulating errors

Override any route to return custom responses:

from httpx import Response

async def test_handles_rate_limit(loops_api):
    loops_api["transactional"].mock(
        return_value=Response(
            429,
            json={"success": False},
            headers={"x-ratelimit-limit": "10", "x-ratelimit-remaining": "0"},
        )
    )
    client = pyloops.get_client()
    with pytest.raises(pyloops.LoopsRateLimitError):
        await client.send_transactional_email(transactional_id="abc", email="user@test.com")

Available mock routes

All routes are accessible by name on the yielded router:

Name Method Endpoint
health GET /api-key
transactional POST /transactional
list_transactional GET /transactional
create_contact POST /contacts/create
upsert_contact PUT /contacts/update
find_contact GET /contacts/find
delete_contact POST /contacts/delete
list_contact_properties GET /contacts/properties
create_contact_property POST /contacts/properties
send_event POST /events/send
list_mailing_lists GET /lists
list_sending_ips GET /dedicated-sending-ips

Testing with safe mode

The mock disables safe mode by default. To test safe mode behavior, pass safe_mode=True and your allowed domains:

with loops_respx_mock(safe_mode=True, safe_mode_allowed_domains=("@test.com",)) as api:
    client = pyloops.get_client()
    await client.send_transactional_email(transactional_id="t1", email="dev@test.com")  # OK
    await client.send_transactional_email(transactional_id="t1", email="user@gmail.com")  # raises

Documentation

For detailed API documentation, visit the Loops.so API docs.

Automated Updates

This SDK is automatically updated to match the latest Loops.so API specification. The package version corresponds to the Loops API version (current: 1.21.2).

A GitHub Action checks for API updates daily and creates a pull request when changes are detected. After review and merge, a new version is automatically published to PyPI.

Development

Setup

# Clone the repository
git clone https://github.com/doctorgpt-corp/pyloops.git
cd pyloops

# Install dependencies with uv
uv sync --all-groups

Running Tests

Using just:

just check      # Run linting + type checking
just lint       # Run linting only
just typecheck  # Run type checking only
just fmt        # Format code

Or directly with uv:

uv run ruff check src/
uv run pyright src/

Project Structure

src/pyloops/
├── __init__.py          # Main exports
├── client.py            # High-level LoopsClient wrapper
├── config.py            # Configuration
├── exceptions.py        # Exceptions
├── api/                 # Re-exports from _generated.api
├── models/              # Re-exports from _generated.models
└── _generated/          # ALL auto-generated code
    ├── client.py
    ├── api/
    ├── models/
    └── types.py

Regenerate SDK

To manually regenerate the SDK from the latest OpenAPI spec:

just generate

Or manually:

rm -rf src/pyloops/_generated
uv tool run openapi-python-client generate --url https://app.loops.so/openapi.yaml --meta uv
mv loops-open-api-spec-client/loops_open_api_spec_client src/pyloops/_generated
rm -rf loops-open-api-spec-client openapi.yaml

Custom code is never touched during regeneration.

License

MIT

Disclaimer

This is an unofficial SDK and is not affiliated with or endorsed by Loops.so.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyloops-1.21.2.1.tar.gz (113.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyloops-1.21.2.1-py3-none-any.whl (357.7 kB view details)

Uploaded Python 3

File details

Details for the file pyloops-1.21.2.1.tar.gz.

File metadata

  • Download URL: pyloops-1.21.2.1.tar.gz
  • Upload date:
  • Size: 113.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for pyloops-1.21.2.1.tar.gz
Algorithm Hash digest
SHA256 0ef39d4e1b5235e752baef0a09c140cb786ed2475f35fbbf690d2c6e087666ab
MD5 302cdfc82afef2c89e4d17ccf9ba9fcf
BLAKE2b-256 544aa522dad222e2fc5b4b59b491d4db34f707273f8cfcef40efaaff6117834f

See more details on using hashes here.

Provenance

The following attestation bundles were made for pyloops-1.21.2.1.tar.gz:

Publisher: publish.yml on doctorgpt-corp/pyloops

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file pyloops-1.21.2.1-py3-none-any.whl.

File metadata

  • Download URL: pyloops-1.21.2.1-py3-none-any.whl
  • Upload date:
  • Size: 357.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.14

File hashes

Hashes for pyloops-1.21.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 cca6eeaaf38a10f105f4c5a26bb3e44101c07c64ac19321df537c85b3e643f8f
MD5 98521c4ae691952567c5f303f0d347ad
BLAKE2b-256 7bb58a89cca99ba614e0ae2dcd16f33aa80b0e98a8764f2f7265b1b5712951d9

See more details on using hashes here.

Provenance

The following attestation bundles were made for pyloops-1.21.2.1-py3-none-any.whl:

Publisher: publish.yml on doctorgpt-corp/pyloops

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

1.21.7.1

2 files

1.21.7

2 files

This release

1.21.2.1 This release

2 files

1.14.2

2 files

1.8.0

2 files

1.7.0.1

2 files

1.7.0

2 files

1.6.1.4

2 files

1.6.1.3

2 files

1.6.1.2

2 files

1.6.1.1

2 files

1.6.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page