juniper-cascor-worker

PyPI Python 3.12+ License: MIT

Distributed candidate-training worker for the Juniper Cascade-Correlation platform.

juniper-cascor-worker connects outbound to a running juniper-cascor instance, receives candidate-unit training tasks, trains them, and returns the trained candidates for selection into the growing network. Run several workers to parallelise candidate-pool training across hosts.

Part of the Juniper platform. juniper-cascor-worker is the distributed candidate-training worker for juniper-cascor in Juniper — a multi-package ML research platform built around constructive (Cascade-Correlation) and recurrent neural networks. It is managed by cascor over a wire protocol, with no code-import dependency between the two.

Install

pip install juniper-cascor-worker

Run

The default WebSocket mode connects to a juniper-cascor instance:

juniper-cascor-worker \
  --server-url ws://<cascor-host>:8200/ws/v1/workers \
  --auth-token <worker-token>

…or via the canonical environment variables:

export JUNIPER_CASCOR_WORKER_SERVER_URL=ws://<cascor-host>:8200/ws/v1/workers
export JUNIPER_CASCOR_WORKER_AUTH_TOKEN=<worker-token>
juniper-cascor-worker

Legacy --legacy mode (a multiprocessing.managers worker) is deprecated and kept only for transitional deployments.

Configuration

Key environment variables (WebSocket mode); the full surface and the deprecated CASCOR_* legacy aliases (pre-CFG-06) are documented in AGENTS.md:

Variable Required Default Notes
JUNIPER_CASCOR_WORKER_SERVER_URL Yes — Worker endpoint URL (ws:// or wss://)
JUNIPER_CASCOR_WORKER_AUTH_TOKEN No empty Token sent as the X-API-Key header
JUNIPER_CASCOR_WORKER_HEARTBEAT_INTERVAL No 10.0 Seconds between heartbeats
JUNIPER_CASCOR_WORKER_TASK_TIMEOUT No 3600.0 Max seconds for a single training task
JUNIPER_CASCOR_WORKER_TLS_CERT / _TLS_KEY / _TLS_CA No unset mTLS client cert / key / CA bundle

Docker

docker build -t juniper-cascor-worker:latest .
docker run --rm \
  -e JUNIPER_CASCOR_WORKER_SERVER_URL=ws://<cascor-host>:8200/ws/v1/workers \
  -e JUNIPER_CASCOR_WORKER_AUTH_TOKEN=<worker-token> \
  juniper-cascor-worker:latest

The Dockerfile defaults to WebSocket mode against ws://juniper-cascor:8200/ws/v1/workers. For the full stack, see juniper-deploy.

Status

Live on PyPI. The current version is shown by the badge above; see CHANGELOG.md.

License

MIT — see LICENSE.

Project links

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Owner

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Credits

Author: Paul Calnon

GitHub Statistics

Data verified by PyPI on Jul 23, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
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Requires

Python >=3.12

Provides Extra

test dev

Tags

juniper cascade-correlation neural-network distributed-training

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