friedeggjellyfish 0.1.0

Real-time visual monitoring for code-built automations. See your automations glow.

friedeggjellyfish

Real-time visual monitoring for code-built automations.

When you build automations with AI coding tools, the workflow becomes invisible — no flowchart, no status indicators, no way to see what's running or what failed. friedeggjellyfish gives you that visual layer back.

Add four lines to your script. Open the dashboard. Watch your automation glow.

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Install

pip install friedeggjellyfish

Requires Python 3.10+.

Quick start

1. Add monitoring to your script:

from friedeggjellyfish import monitor

monitor.start("Daily Lead Report")
monitor.step("Connect to HubSpot API")
monitor.step("Pull new leads")
monitor.step("Send summary email")
monitor.done()

2. Launch the dashboard in a separate terminal:

friedeggjellyfish dashboard

Your browser opens at http://127.0.0.1:8765. Run your script — each step appears in real time.

Error reporting

try:
    pull_leads()
except Exception as e:
    monitor.error("Failed to pull leads", details=str(e))

The dashboard displays the error in plain English alongside the failed step.

API reference

monitor.start(workflow_name, description=None, ws_url=...)

Begins a new monitored workflow run. Call this once at the top of your script.

Parameter	Type	Description
workflow_name	str	Name shown in the dashboard header
description	str | None	Optional subtitle
ws_url	str	Dashboard WebSocket URL (default: ws://127.0.0.1:8765/ws/ingest)

Returns the run_id string (UUID). You can ignore it.

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monitor.step(step_name, description=None, metadata=None)

Marks a step in the workflow. Call once per step as it begins.

Parameter	Type	Description
step_name	str	Label shown on the dashboard node
description	str | None	Optional subtitle for the step
metadata	dict | None	Optional key/value pairs attached to the step

Auto-timing: friedeggjellyfish measures how long each step took and displays the duration.

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monitor.warn(message, details=None, step_name=None)

Reports a non-fatal warning on the current or named step. The workflow continues.

Parameter	Type	Description
message	str	Plain-English description of the warning
details	str | None	Extra context
step_name	str | None	Which step (defaults to the last active step)

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monitor.error(message, details=None, step_name=None)

Reports an error on the current or named step. Informational only — your script controls flow.

Parameter	Type	Description
message	str	Plain-English description of what failed
details	str | None	Full traceback or extra context (auto-captured if omitted)
step_name	str | None	Which step failed (defaults to the last active step)

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monitor.done()

Marks the workflow complete. Always call this at the end of your script.

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Dashboard CLI

friedeggjellyfish dashboard [--host HOST] [--port PORT] [--no-browser] [--log-level LEVEL]

Flag	Default	Description
--host	127.0.0.1	Bind address
--port	8765	Port
--no-browser	off	Skip auto-opening the browser
--log-level	warning	Server verbosity (debug, info, warning, error, critical)

Silent fail

If the dashboard isn't running when your script starts, friedeggjellyfish logs a single warning and your automation continues normally. Nothing breaks.

How it works

your script  →  WebSocket (localhost)  →  FEJ server  →  browser dashboard

All data stays on your machine. Nothing is sent to any external service.

License

MIT. See LICENSE.

Attribution

Built by Kenneth Ebilane / AVI Lane Digital.