Proxmox Home Assistant Integration Service

An asynchronous, type-safe Python client tailored for extracting raw performance telemetry out of Proxmox VE clusters, nodes, and guests.

The Backstory: Why "PHAIS"?

PHAISE stands for Proxmox Home Assistant Integration Service.

But there is an intentional double meaning here: it is hopefully just a PHASE.

This library was built out of necessity because existing ecosystem integrations and underlying client libraries have structural limitations—whether they are synchronous bottlenecks, missing granular unnested endpoint layouts, or lacking strict runtime type enforcement via tools like Mashumaro. PHAIS serves as our high-performance bridge today while we wait for mainstream upstream libraries to catch up, open up, or accept modern async paradigms. Once they do, this phase can comfortably conclude.

Features

• Strict Asynchronous Execution: Native aiohttp implementation designed never to block the event loop.
• Unified REST Client: Centralized HTTP architecture managing internal auth tickets, cookie construction, and CSRF token propagation seamlessly.
• Granular Telemetry Models: Distinct dataclasses separating cluster maps from deep host (NodeStatus), VM (QemuStatus), and container (LXCStatus) sensor profiles.
• Smart Reconciliation: Automated cache pruning to instantly evict vanished or decommissioned resources from tracking tables using fast set operations.

Usage

The library provides a modern, fluent interface built on asyncio and aiohttp, designed to mirror the structure of the Proxmox VE API while maintaining strict type safety via dataclasses.

Instead of passing endpoints via string formatting or multi-level item lookups, phais exposes clean, chainable proxy paths. All data responses are fully validated dataclass objects rather than raw nested dictionaries.

import asyncio
import aiohttp
import phais

async def main():
    async with aiohttp.ClientSession() as session:
        # Initialize the type-safe client backend
        pve = phais.Backend(
            session=session,
            host="192.168.1.100",
            user="root@pam",
            password="your_secure_password",
            verify_ssl=False
        )

        cluster = await pve.connect()
        print(f"Connected to cluster with: {len(cluster.resources)} resources")

        lxc_status = await pve.nodes("pvex").lxc(501).status.current()
        print(f"Container Memory: {lxc_status.mem} bytes")

        cluster_resources = await pve.cluster.resources()
        print(f"Total cluster resources tracked: {len(cluster_resources.resources)}")

        node_status = await pve.nodes("pvex").status()
        print(f"Node CPU usage: {node_status.cpu * 100}%")

        vm_status = await pve.nodes("pvex").qemu(102).status.current()
        print(f"VM {vm_status.name} Status: {vm_status.status}")


if __name__ == "__main__":
    asyncio.run(main())

Contrast from Proxmoxer

Feature	proxmoxer (Generic String Wrapper)	phais (Type-Safe Telemetry Client)
I/O Strategy	Synchronous (blocks the event loop)	Native Asynchronous (aiohttp)
Path Navigation	Verbatim endpoint strings / properties	Fluid, chainable proxy paths
Terminal Calls	Explicit method tags required (.get())	Direct execution or explicit telemetry targets
Data Format	Untyped primitives (dict / list)	Validated Mashumaro Dataclasses

from proxmoxer import ProxmoxAPI

# Initialize synchronous client
proxmox = ProxmoxAPI(
    "192.168.1.100",
    user="root@pam",
    password="your_secure_password",
    verify_ssl=False
)

# 1. Fetch cluster resources (returns raw lists of dicts)
resources = proxmox.cluster.resources.get()
print(f"Total cluster resources tracked: {len(resources)}")

# 2. Fetch specific physical node status
node_status = proxmox.nodes("pvex").status.get()
print(f"Node CPU usage: {node_status.get('cpu', 0) * 100}%")

# 3. Fetch QEMU VM status
vm_status = proxmox.nodes("pvex").qemu(102).status.current.get()
print(f"VM Status: {vm_status.get('status')}")

# 4. Fetch LXC container status
lxc_status = proxmox.nodes("pvex").lxc(501).status.current.get()
print(f"Container Memory: {lxc_status.get('mem')} bytes")

Development Diagnostics

The repository provides a diagnostic CLI utility to verify authentication mechanics, cookie/ticket attachment, and data serialization against live systems.

Running the Live Test Script

Execute the script from the root directory by providing your targeted cluster parameters:

scripts/live_test.py <host-ip-or-fqdn> "<user@realm>" "<password>"