cemi-cli 0.1.2

CEMI: An Edge AI MLOps Tool for Model Compression and Embedded Deployment

Capicú Edge ML Inference

Capicú Edge ML Inference (CEMI) is an Edge AI/TinyML experiment workspace managing and analyzing runs, comparisons, and explicit action-event streams across local and extensible testing of model compression and evaluation workflows.

cemi-cli is the packaged command-line distribution for Capicu Edge ML Inference (CEMI).

It provides the local-first workflow for:

• serving the CEMI workspace locally
• opening saved runs in the browser
• launching instrumented commands with CEMI environment wiring
• reading and serving run data from a shared local save directory

What This Package Includes

Component	Description
cemi CLI	Starts the local gateway, opens the workspace, and launches monitored commands
cemi.writer	Python APIs for logging runs, metrics, parameters, summaries, artifacts, and action events
Gateway	Reads run snapshots and artifacts from disk and serves the workspace UI
workspace	Bundled frontend served by the local gateway

Install

From PyPI

pip install cemi-cli

From source

From the repository root:

pip install -e ./cli

For local development and tests:

pip install -e "./cli[dev]"
pytest cli/tests/ -q

Quickstart

Minimal example

from cemi.writer import create_writer

writer = create_writer(project="demo", log_dir=".cemi")
writer.start_run(name="baseline")
writer.log_parameter(key="learning_rate", value=0.001)
writer.log_metric(name="loss", value=0.42, step=1)
writer.log_summary_metrics({"final_accuracy": 0.95})
writer.emit_run_record()
writer.end_run(status="succeeded")
writer.emit_run_record()

Start the local gateway:

cemi gateway

Open the workspace:

cemi view

Or visit:

http://127.0.0.1:3141/workspace

Command Summary

Command	Description
cemi help	Show the command list and general usage
cemi config	Display local CLI configuration
cemi config set <key> <value>	Persist supported local config values
cemi gateway	Start the local gateway and serve the embedded workspace
cemi view	Open the workspace without creating a run
cemi start -- <cmd>	Start the gateway if needed, open the workspace, and run a command with CEMI env vars injected
cemi stop	Stop background local services started by dev flows

Documentation

Visit https://docs.capicu.ai for more information.