95d65a1155
Extracted 52 files from Timmy_Foundation/hermes-agent (gitea/main) into hermes-sovereign/ directory to restore clean upstream tracking. Layout: docs/ 19 files — deploy guides, performance reports, security docs, research security/ 5 files — audit workflows, PR checklists, validation scripts wizard-bootstrap/ 7 files — wizard environment, dependency checking, auditing notebooks/ 2 files — Jupyter health monitoring notebooks scripts/ 5 files — forge health, smoke tests, syntax guard, deploy validation ci/ 2 files — Gitea CI workflow definitions githooks/ 3 files — pre-commit hooks and config devkit/ 8 files — developer toolkit (Gitea client, health, notebook runner) README.md 1 file — directory overview Addresses: #337, #338
42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
# ---
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# jupyter:
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# jupytext:
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# text_representation:
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# extension: .py
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# format_name: percent
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# format_version: '1.3'
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# jupytext_version: 1.19.1
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# kernelspec:
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# display_name: Python 3
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# language: python
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# name: python3
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# ---
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# %% [markdown]
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# # Parameterized Agent Task: System Health Check
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#
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# This notebook demonstrates how an LLM agent can generate a task notebook,
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# a scheduler can parameterize and execute it via papermill,
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# and the output becomes a persistent audit artifact.
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# %% tags=["parameters"]
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# Default parameters — papermill will inject overrides here
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threshold = 1.0
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hostname = "localhost"
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# %%
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import json, subprocess, datetime
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gather_time = datetime.datetime.now().isoformat()
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load_avg = subprocess.check_output(["cat", "/proc/loadavg"]).decode().strip()
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load_values = [float(x) for x in load_avg.split()[:3]]
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avg_load = sum(load_values) / len(load_values)
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intervention_needed = avg_load > threshold
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report = {
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"hostname": hostname,
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"threshold": threshold,
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"avg_load": round(avg_load, 3),
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"intervention_needed": intervention_needed,
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"gathered_at": gather_time
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}
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print(json.dumps(report, indent=2))
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