insightfactory-sdk

Async Python client for the Insight Factory REST API.

from insightfactory_sdk import ApiClient, Configuration
from insightfactory_sdk.api.tasks_api import TasksApi

config = Configuration(
    host="https://your-factory.insightfactory.ai", access_token=token
)

async with ApiClient(config) as client:
    tasks = await TasksApi(client).tasks_get()

Every operation is async and non-blocking, over a pooled httpx.AsyncClient. Each also has a _sync twin for scripts and notebooks — note this builds its own client, outside any async with block:

sync_client = ApiClient(config)
tasks = TasksApi(sync_client).tasks_get_sync()

_sync runs the coroutine on a dedicated background event loop, so it must not be called from inside async code — await the async method there instead.

Don't mix the two on one ApiClient. The connection pool is created on the first request and bound to whichever loop issued it, so a client used both ways binds its pool to one loop and fails on the other — usually as an Event loop is closed far from the call that caused it. Use a separate client for each style.

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Owner

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Credits

Author: insightfactory.ai Support

Requires

Python >=3.10

Tags

insightfactory.ai openapi sdk

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