glpi-python-client

glpi-python-client is a typed Python client for the GLPI REST API.

The goal is to let GLPI integrations work with domain objects instead of raw JSON payloads. The package exposes Pydantic models for tickets, users, followups, documents, locations, and related records, while converting GLPI HTML content into Markdown for Python-side workflows and rendering Markdown back to HTML for outgoing payloads.

It currently focuses on ticket-centric workflows and exposes two high-level clients built on top of the GLPI v2 REST API:

• GlpiClient — synchronous, blocking client (single source of truth for endpoint behaviour).
• AsyncGlpiClient — asynchronous facade that wraps every synchronous method into a coroutine and dispatches it to a worker thread.

Note that all integration tests using this package are made on GLPI 11. I cannot make any guarantee of the behaviour on previous versions.

While the package is preparing for 1.0, alot of potential breaking change might happen between versions. A deprecation policy will be put in place once 1.0 is out and the package have been stabilized.

Installation

pip install glpi-python-client

For local development:

python -m pip install -e .[dev]
python -m pytest

Quick Start

Create a client with your GLPI v2 API URL and at least one complete auth pair:

• client_id and client_secret
• username and password
• both pairs together

Synchronous client

from glpi_python_client import GlpiClient, PostTicket

with GlpiClient(
    glpi_api_url="https://glpi.example.com/api.php/v2",
    client_id="oauth-client-id",
    client_secret="oauth-client-secret",
    username="api-user",
    password="api-password",
) as glpi:
    ticket_id = glpi.create_ticket(
        PostTicket(
            name="Printer issue",
            content="The printer is not reachable from the office network.",
        )
    )
    ticket = glpi.get_ticket(ticket_id)
    print(ticket.id, ticket.name)

Asynchronous client

import asyncio

from glpi_python_client import AsyncGlpiClient, PostTicket


async def main() -> None:
    async with AsyncGlpiClient(
        glpi_api_url="https://glpi.example.com/api.php/v2",
        client_id="oauth-client-id",
        client_secret="oauth-client-secret",
        username="api-user",
        password="api-password",
    ) as glpi:
        ticket_id = await glpi.create_ticket(
            PostTicket(
                name="Printer issue",
                content="The printer is not reachable from the office network.",
            )
        )
        ticket = await glpi.get_ticket(ticket_id)
        print(ticket.id, ticket.name)


asyncio.run(main())

GlpiClient.from_env() and AsyncGlpiClient.from_env() are also available when the credentials are already exposed as GLPI_-prefixed environment variables.

Sync or async?

Both clients expose the exact same endpoint surface and accept the same constructor arguments. The async client is a thin facade that wraps each synchronous method into a coroutine dispatched to a worker thread via asyncio.to_thread (or a caller-supplied concurrent.futures.Executor). A shared threading.Lock serialises OAuth token acquisition so concurrent asyncio.gather(...) fan-outs cannot race. Pick GlpiClient for plain scripts, CLI tools, and synchronous services; pick AsyncGlpiClient when your application already runs an event loop or when you need concurrent fan-out (the aggregated get_ticket_context and per-ticket get_task_statistics helpers use asyncio.gather on the async client).

Documentation

• Hosted documentation
• API reference
• Installation guide
• Development guide

To build the Sphinx documentation locally:

python -m pip install -e .[docs]
python -m sphinx -b html docs docs/_build/html

Sponsoring & Professional services

The development of this package is indirectly supported by Novahé & Constellation.

If you need professional help or services around GLPI, we offer consulting and engineering services to install, maintain or upgarde GLPI instance, as an official GLPI partner.