Koios Client
Typed Python SDK for the Koios IoT platform. Provides two API layers:
- High-level resource API —
Device,Tag,Modelobjects with intuitive methods like.enable(),.update(),.delete() - Low-level GraphQL client — fully-typed generated client via
client.gqlwith IDE autocomplete
Plus REST helpers for file operations, import/export, backups, and trend data.
Installation
pip install koios-client
Or install from source:
pip install -e ".[dev]"
Compatibility
The client's minor tracks the server's: install the line that matches the Koios you run.
| Client | Koios server |
|---|---|
| 1.2.x | 1.2.x |
| 1.1.x | 1.1.x |
| 1.0.x | 1.0.x |
pip install "koios-client~=1.2.0"
The client is generated from the server's GraphQL schema, so a newer client against an older server will offer operations that server does not have.
Two changes in 1.2.0 follow removals on the 1.2 server, and are the only ones that can break working code:
- Events are read-and-manage only. Creating or editing an event through the API is no longer possible, and the request header that grouped new events under a root event is gone. Acknowledging, deleting, clearing, and marking events seen all still work. Integrations that wrote events into Koios need another route.
- Sorts that never worked are gone:
statuson models and on model bindings, andfilenameon model files. Passing them previously raised an error, so dropping them is the fix rather than a regression. Model binding filters no longer requirestatus, which makes that filter usable on its own.
Quick Start
from koios_client import KoiosClient
client = KoiosClient(
hostname="koios.example.com",
client_id="your-client-uuid",
client_secret="your-client-secret",
)
# High-level resource API — fetch by ID (default) or slug
device = client.device(1)
device.enable()
for tag in device.tags():
print(tag.name, tag.value)
# Low-level GraphQL (fully typed — IDE autocomplete works)
result = client.gql.get_devices()
for device in result.devices.results:
print(device.name, device.status)
client.close()
Use as a context manager for automatic cleanup:
with KoiosClient("koios.example.com", "client-id", "secret") as client:
device = client.device(1)
print(device.name, device.enabled)
High-Level Resource API
The resource layer wraps the generated GraphQL client with intuitive Python objects. All resource classes are importable from the top-level package:
from koios_client import Device, Tag, Model, PaginatedList
Fetching Resources
Every resource can be fetched by ID (default positional arg) or slug (UUID).
# By ID (default — integer database primary key)
device = client.device(1)
tag = client.tag(42)
model = client.model(5)
# By slug (UUID — useful when you already have the identifier)
device = client.device(slug="550e8400-e29b-41d4-a716-446655440000")
# By name — use the list query with filters
from koios_client.types import DeviceFilter, StrFilterLookup
devices = client.devices(filters=DeviceFilter(name=StrFilterLookup(exact="My Device")))
device = devices[0]
# List with filtering, ordering, and pagination
from koios_client.types import OffsetPaginationInput
devices = client.devices(
filters=DeviceFilter(enabled=True),
pagination=OffsetPaginationInput(limit=50),
)
print(f"{devices.total_count} total devices")
for device in devices:
print(device.name, device.slug, device.enabled)
PaginatedList supports iteration, indexing, len(), and bool():
tags = client.tags()
print(len(tags)) # Number of items on this page
print(tags.total_count) # Total matching items on server
first = tags[0] # Index access
CRUD Operations
from koios_client.types import DeviceInput, OneToManyInput
# Create — `protocol` takes a OneToManyInput pointing at the protocol's ID
device = client.create_device(DeviceInput(
name="New Device",
protocol=OneToManyInput(set="1"),
scan_rate=5.0,
))
# Update (returns a fresh object with all fields refreshed)
device = device.update(name="Renamed Device", scan_rate=5.0, enabled=True)
# Enable / Disable (convenience wrappers around update)
device = device.enable()
device = device.disable()
# Duplicate
copy = device.duplicate("Device Copy", description="Cloned from original")
# Delete
device.delete()
Parent-Child Accessors
# Device → Tags
device = client.device(1)
tags = device.tags(
filters=TagFilter(enabled=True),
pagination=OffsetPaginationInput(limit=100),
)
# Model → Bindings
model = client.model(5)
for binding in model.bindings():
print(binding.name, binding.usage, binding.normalization_type)
binding.update(normalization_type="MIN_MAX")
Bulk Operations
# Bulk enable / disable
client.enable_devices(["1", "2", "3"])
client.disable_tags(["10", "11", "12"])
# Bulk delete
client.delete_devices(["1", "2", "3"])
client.delete_tags(["10", "11", "12"])
client.delete_models(["20", "21"])
client.delete_scan_groups(["30", "31"])
client.delete_device_sets(["40", "41"])
Live Data
Fetch real-time values from the Redis cache:
device = client.device(1)
live = device.live()
print(live.get("status"), live.get("error_message"))
tag = client.tag(42)
live = tag.live()
print(live.get("value"), live.get("timestamp"), live.get("quality"))
Import / Export with Resources
# Import with dry_run (default) — returns preview without applying
preview = client.import_devices("devices.csv")
print(preview)
# Import for real
result = client.import_devices("devices.csv", dry_run=False)
# Export a single device/model
csv_bytes = device.export_csv()
zip_bytes = model.export()
All Resource Types
All singular methods accept id (positional, integer) or slug= (UUID). Exactly one must be provided.
| Method | Returns | Notes |
|---|---|---|
client.device(id, slug=) |
Device |
|
client.devices(...) |
PaginatedList[Device] |
filters, order, pagination |
client.create_device(data) |
Device |
|
client.enable_devices(ids) |
list[Device] |
|
client.disable_devices(ids) |
list[Device] |
|
client.delete_devices(ids) |
None |
|
client.import_devices(file) |
dict |
dry_run=True by default |
client.tag(id, slug=) |
Tag |
|
client.tags(...) |
PaginatedList[Tag] |
|
client.create_tag(data) |
Tag |
|
client.enable_tags(ids) |
list[Tag] |
|
client.disable_tags(ids) |
list[Tag] |
|
client.delete_tags(ids) |
None |
|
client.import_tags(file) |
dict |
dry_run=True by default |
client.model(id, slug=) |
Model |
|
client.models(...) |
PaginatedList[Model] |
|
client.create_model(data) |
Model |
|
client.enable_models(ids) |
list[Model] |
|
client.disable_models(ids) |
list[Model] |
|
client.delete_models(ids) |
None |
|
client.import_models(file) |
dict |
dry_run=True by default |
client.scan_group(id, slug=) |
ScanGroup |
|
client.scan_groups(...) |
PaginatedList[ScanGroup] |
|
client.create_scan_group(data) |
ScanGroup |
|
client.enable_scan_groups(ids) |
list[ScanGroup] |
|
client.disable_scan_groups(ids) |
list[ScanGroup] |
|
client.delete_scan_groups(ids) |
None |
|
client.device_set(id, slug=) |
DeviceSet |
supports .update(), .delete(), .set_active_device(item_id) |
client.device_sets(...) |
PaginatedList[DeviceSet] |
|
client.create_device_set(data) |
DeviceSet |
|
client.delete_device_sets(ids) |
None |
|
client.protocol(id, slug=) |
Protocol |
read-only, supports .set_visible(bool) |
client.protocols() |
list[Protocol] |
not paginated |
Device Sets (Redundancy Groups)
Device sets group multiple devices for failover. Member devices are added as
DeviceSetItem records via the low-level GraphQL client, and the active
member is controlled by set_active_device:
from koios_client.types import (
DeviceSetInput,
DeviceSetItemInput,
OneToManyInput,
)
ds = client.create_device_set(DeviceSetInput(
name="Redundant Pair",
protocol=OneToManyInput(set="1"),
))
# Add two member devices with priority 1 (primary) and 2 (backup).
item1 = KoiosClient.check_operation(
client.gql.create_device_set_item(
data=DeviceSetItemInput(
device_set=OneToManyInput(set=ds.id),
device=OneToManyInput(set="10"),
priority=1,
)
).create_device_set_item
)
item2 = KoiosClient.check_operation(
client.gql.create_device_set_item(
data=DeviceSetItemInput(
device_set=OneToManyInput(set=ds.id),
device=OneToManyInput(set="11"),
priority=2,
)
).create_device_set_item
)
# Switch which member is active — identified by the DeviceSetItem ID, not the Device ID.
ds = ds.set_active_device(item2.id)
Endpoint Clients
# List endpoint clients
clients = client.endpoint_clients()
# Get a single endpoint client by ID
ec = client.endpoint_client("123")
# Create a new endpoint client (returns one-time secret)
result = client.create_endpoint_client("My Integration", description="Data pipeline")
# Set permissions
client.set_endpoint_client_permissions(
client_id="123",
permission_ids=["1", "2", "3"],
)
Low-Level GraphQL Client
All GraphQL queries and mutations are available via client.gql with fully typed parameters and return values.
Querying Data
from koios_client.types import (
DeviceFilter,
OffsetPaginationInput,
StatusChoices,
)
# Paginated queries
devices = client.gql.get_devices(
pagination=OffsetPaginationInput(limit=50),
)
print(f"Total: {devices.devices.total_count}")
for device in devices.devices.results:
print(device.name, device.status, device.protocol.name)
# Filtered queries
tags = client.gql.get_tags(
filters=TagFilter(enabled=True),
pagination=OffsetPaginationInput(limit=100),
)
# Single item by slug
device = client.gql.get_device(slug="my-device")
tag = client.gql.get_tag(slug="my-tag")
Mutations
Single-item mutations return a union of the entity type or OperationInfo. Use check_operation to unwrap:
from koios_client.types import DeviceInput, OneToManyInput
raw = client.gql.create_device(data=DeviceInput(
name="New Device",
protocol=OneToManyInput(set="1"),
))
# Raises OperationError if the server returned validation/permission errors
device = KoiosClient.check_operation(raw.create_device)
print(f"Created: {device.name} ({device.slug})")
Available Enums
All GraphQL enums are available as typed Python enums:
from koios_client.types import (
StatusChoices, # RUNNING, STOPPED, FAILED
UsageChoices, # INPUT, OUTPUT, VIRTUAL
AggregateFunction, # MEAN, SUM, MIN, MAX, FIRST, LAST, COUNT
DeviceErrorCodeChoices,
TagErrorCodeChoices,
ProtocolReferenceCodeChoices, # OPCUA, MODBUS_TCP, ETHERNET_IP, ...
)
REST API
Operations that involve file uploads, background tasks, or binary responses use REST endpoints exposed directly on the client.
Export / Import
# Export devices as CSV
csv_bytes = client.export_devices_csv()
with open("devices.csv", "wb") as f:
f.write(csv_bytes)
# Export specific tags
csv_bytes = client.export_tags_csv(ids=[1, 2, 3])
# Export models as ZIP (includes bindings)
zip_bytes = client.export_models()
# Two-step import: preview then confirm
preview = client.import_tags_preview("tags.csv")
print(f"Will import {preview['result']['total_rows']} rows")
if preview["can_import"]:
result = client.import_tags_confirm(
preview["tmp_storage_name"],
preview["file_name"],
)
print(f"Imported {result['imported_count']} tags")
Model Files
# Upload a model file
result = client.upload_model_file(
"model.onnx",
model_slug="my-model",
version="1.0",
set_active=True,
)
# Download a model file
model_bytes = client.download_model_file("model-file-slug")
# Get model structure (weights stripped for ONNX)
structure = client.get_model_file_structure("model-file-slug")
Backups
# Create a backup
task = client.create_backup(tier="full")
# Poll for completion
import time
while True:
status = client.get_backup_status(task["task_id"])
if status["status"] == "completed":
break
time.sleep(2)
# List and download
backups = client.list_backups()
for backup in backups["backups"]:
print(backup["filename"], backup["size_bytes"])
data = client.download_backup(backups["backups"][0]["filename"])
# Restore from backup
upload = client.upload_restore_file("backup.tar.gz")
task = client.start_restore(upload["restore_file_path"])
Trend Data Export
# Start an export task
task = client.create_trend_export(
tag_ids=[1, 2, 3],
start="2026-01-01T00:00:00Z",
stop="2026-02-01T00:00:00Z",
mode="resampled",
resample_interval="5m",
aggregate_fn="mean",
output_format="csv",
)
# Poll and download
status = client.get_trend_export_status(task["task_id"])
if status["status"] == "completed":
data = client.download_trend_export(status["filename"])
# Estimate before exporting
estimate = client.estimate_trend_export(
tag_ids=[1, 2, 3],
export_all=True,
)
print(f"~{estimate['estimated_size_bytes'] / 1e6:.1f} MB")
Component Libraries
result = client.upload_component_library("my-component.kcl")
print(f"Uploaded: {result['name']} v{result['version']}")
OPC-UA Certificates
# Upload a certificate + key pair
result = client.upload_opcua_certificate(
"cert.der", "key.pem", name="My Certificate"
)
# Download cert or key
cert_bytes = client.download_opcua_certificate("cert-slug")
key_bytes = client.download_opcua_key("cert-slug")
EDS Files
# Upload an EDS file for a device
result = client.upload_eds_file("device.eds")
# Delete the EDS file from a device
client.delete_eds_file(device_id=1)
Log Downloads
log = client.download_device_log("my-device")
log = client.download_model_log("my-model")
log = client.download_scan_group_log("scan-group-1")
log = client.download_component_log("instance-1")
log = client.download_service_log("datacollector")
Connection Options
client = KoiosClient(
hostname="koios.example.com",
client_id="your-uuid",
client_secret="your-secret",
port=443, # Default: 443 (HTTPS) or 80 (HTTP)
ssl=True, # Default: True
verify_ssl=True, # Default: True (set False for self-signed certs)
timeout=30.0, # Default: 30 seconds
)
Error Handling
from koios_client import (
KoiosError, # Base exception
AuthenticationError, # Bad credentials or expired token
NotFoundError, # Resource not found (e.g. client.device(999))
OperationError, # Mutation returned OperationInfo
GraphQLError, # GraphQL response errors
KoiosConnectionError, # Network connectivity issues
KoiosPermissionError, # Insufficient permissions
ValidationError, # Input validation failures
)
try:
device = client.device(1)
device.update(name="New Name")
except NotFoundError:
print("Device not found")
except OperationError as e:
for msg in e.messages:
print(f"{msg.kind}: {msg.field}: {msg.message}")
except AuthenticationError:
print("Check your client credentials")
Development
# Install with dev dependencies
make install
# Format and lint
make format # ruff check --fix + format
make lint # ruff check + format --check
# Type check and run unit tests
make typecheck # basedpyright
make test # pytest (mocked HTTP; no live server needed)
make ci # lint + typecheck + test
# Regenerate GraphQL client (requires a running Koios dev server at :8080)
make codegen
Integration tests
make test-integration runs the suite under tests/integration/ against a live
Koios server. These tests are skipped by the default make test /
make ci runs — they exist so releases can be verified against a real
container.
Copy tests/integration/.env.example to tests/integration/.env and fill in
an endpoint client ID/secret from the target server:
cp tests/integration/.env.example tests/integration/.env
# Edit tests/integration/.env with KOIOS_HOST, KOIOS_CLIENT_ID, KOIOS_CLIENT_SECRET
make test-integration
Releasing
# Bump pyproject.toml version, land via PR, then tag:
make tag # reads version from pyproject.toml, creates matching git tag
License
Licensed under the Apache License, Version 2.0 — see LICENSE.
Copyright 2024 Ai-OPs, Inc.
Metadata
Release files for koios-client 1.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| koios_client-1.2.0.tar.gz | 109.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| koios_client-1.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 269.0 kB
Release files / koios_client-1.2.0.tar.gz
| Download URL | koios_client-1.2.0.tar.gz |
|---|---|
| Size | 109.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f85ec61c8dcfef1d92eb4b727e3da512328ee9083139a5f9c8144f9f783e6a42
|
|
BLAKE2b-256 checksum How to use checksums |
967d508eae32208ef6e8b95e041c922f06cc9aff0d3cec2c99c8fc187ac4091a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 30, 2026.
Transparency logRelease files / koios_client-1.2.0-py3-none-any.whl
| Download URL | koios_client-1.2.0-py3-none-any.whl |
|---|---|
| Size | 159.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1536393569429417f375ef08366618249074156d48250ce04cc1c7444a2d20dd
|
|
BLAKE2b-256 checksum How to use checksums |
6311c1b85465378701ba7d6a5c24a1b4d1851ed12acb65a2e0a192a92ae3feca
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 30, 2026.
Transparency log