cogniac 3.0.2

Python SDK for Cogniac Public API

Cogniac Python SDK

Python SDK for the Cogniac public API. Provides both synchronous and asynchronous (async/await) interfaces.

Requires Python 3.11+

Installation

pip install cogniac

Configuration

Authentication is configured via environment variables or constructor arguments:

Variable	Description
COG_USER	Cogniac username (usually an email address)
COG_PASS	Cogniac password
COG_API_KEY	API key (alternative to username/password)
COG_TENANT	Tenant ID (required if user belongs to multiple tenants)
COG_URL_PREFIX	API endpoint (default: https://api.cogniac.io/)

Synchronous API

import cogniac

cc = cogniac.CogniacConnection()

# Tenants and users
tenant = cc.get_tenant()
print(tenant.name)

# Applications
apps = cc.get_all_applications()
app = cc.get_application(application_id)

# Subjects
subjects = cc.get_all_subjects()
subject = cc.create_subject(name="my-subject", description="example")
subject.description = "updated"  # auto-syncs to API
subject.delete()

# Media
media = cc.create_media("image.jpg", meta_tags=["test"])
fetched = cc.get_media(media.media_id)
image_bytes = fetched.download()          # returns bytes
with open("out.jpg", "wb") as f:          # or write to file
    fetched.download(f)                   # takes open file object, NOT a path string

# Paginated results via generators
for detection in app.detections(limit=100):
    print(detection)

Entity Classes

Class	Description
CogniacConnection	Authentication and HTTP session management
CogniacApplication	Vision applications (detection, classification, etc.)
CogniacSubject	Organizational groupings of media
CogniacMedia	Image and video files
CogniacTenant	Tenant (organization) management
CogniacUser	User accounts and API keys
CogniacEdgeFlow	Edge computing devices
CogniacNetworkCamera	Network camera configuration
CogniacExternalResult	External inspection results
CogniacOpsReview	Operations review queue

Async API

The async interface mirrors the sync API. Use AsyncCogniacConnection.create() as an async factory:

import asyncio
import cogniac

async def main():
    async with await cogniac.AsyncCogniacConnection.create() as cc:
        # List subjects
        subjects = await cogniac.AsyncCogniacSubject.get_all(cc)
        for s in subjects:
            print(s.name, s.subject_uid)

        # Create and update
        s = await cogniac.AsyncCogniacSubject.create(cc, name="my-subject")
        await s.set(description="updated")  # explicit async setter
        await s.delete()

        # Download media
        media = await cogniac.AsyncCogniacMedia.get(cc, media_id)
        image_bytes = await media.download()      # returns bytes
        with open("out.jpg", "wb") as f:           # or write to file
            await media.download(f)                # takes open file object, NOT a path string

        # Async generators for paginated endpoints
        apps = await cogniac.AsyncCogniacApplication.get_all(cc)
        async for detection in apps[0].detections(limit=10):
            print(detection)

asyncio.run(main())

Every sync entity class has an async counterpart prefixed with Async (e.g., AsyncCogniacSubject, AsyncCogniacMedia).

Key Differences from Sync API

• Connection: await AsyncCogniacConnection.create(...) instead of CogniacConnection(...)
• Attribute updates: await subject.set(name="new") instead of subject.name = "new" (batches multiple fields in one API call)
• Pagination: async for with generators (detections, media_associations, usage, etc.)
• Cleanup: supports async with context manager for automatic session cleanup

CLI Tools

cogniac

Agent-friendly CLI with JSON output (default) or --format table.

cogniac auth                            # check credentials
cogniac tenant                          # current tenant info
cogniac apps list                       # list applications
cogniac apps leaderboard <id>           # ranked candidate-model snapshot
cogniac apps eval-metrics <id>          # active evaluation metrics
cogniac subjects list                   # list subjects
cogniac subjects search --prefix test   # search subjects
cogniac media get <media_id>            # get media metadata
cogniac media download <media_id> -o f  # download media to file
cogniac edgeflows list                  # list edge devices

icogniac

Interactive IPython shell with pre-loaded Cogniac connection:

icogniac [optional tenant name or ID]

cogupload

Parallel media upload (24 threads) to a subject:

cogupload <subject_uid> <directory>

cogstats

EdgeFlow statistics aggregation:

cogstats -t TENANT_ID [-g GATEWAY_ID] [-s START] [-e END]

Support

Please email [e-mail] with feedback.