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timmy-config/docs/NOTEBOOK_WORKFLOW.md
STEP35 Burn Agent 380012c791
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docs/security/wizard-bootstrap: extract from hermes-sovereign to top-level (#337)
Extract organizational artifacts from hermes-sovereign/ subdirectory to
timmy-config top-level directories for clearer separation of concerns.

Moved:
- docs/: 19 markdown files from hermes-sovereign/docs/ (DEPLOY.md,
  SECURITY_AUDIT_REPORT.md, SECURE_CODING_GUIDELINES.md,
  PERFORMANCE_ANALYSIS_REPORT.md, PERFORMANCE_HOTSPOTS_QUICKREF.md,
  PERFORMANCE_OPTIMIZATIONS.md, SECURITY_FIXES_CHECKLIST.md,
  SECURITY_MITIGATION_ROADMAP.md, TEST_ANALYSIS_REPORT.md,
  TEST_OPTIMIZATION_GUIDE.md, V-006_FIX_SUMMARY.md, and more)
- security/: validate_security.py from hermes-sovereign/security/
  (creates top-level security/ directory)
- wizard-bootstrap/: 7 files from hermes-sovereign/wizard-bootstrap/
  (FORGE_OPERATIONS_GUIDE.md, WIZARD_ENVIRONMENT_CONTRACT.md,
  dependency_checker.py, monthly_audit.py, skills_audit.py,
  wizard_bootstrap.py, __init__.py)
- docs/notebooks/: 2 notebook files from hermes-sovereign/notebooks/
  (agent_task_system_health.ipynb, agent_task_system_health.py)

Empty source directories (hermes-sovereign/docs/, security/,
wizard-bootstrap/, notebooks/) removed.

This reorganization establishes timmy-config as the canonical home
for operational documentation, security tooling, and wizard bootstrap
infrastructure — extracted from the hermes-agent sidecar subtree.

Closes #337
2026-04-30 01:40:46 -04:00

2.2 KiB

Notebook Workflow for Agent Tasks

This directory demonstrates a sovereign, version-controlled workflow for LLM agent tasks using Jupyter notebooks.

Philosophy

  • **.py files are the source of truth** — authored and reviewed as plain Python with # %%` cell markers (via Jupytext)
  • .ipynb files are generated artifacts — auto-created from .py for execution and rich viewing
  • Papermill parameterizes and executes — each run produces an output notebook with code, narrative, and results preserved
  • Output notebooks are audit artifacts — every execution leaves a permanent, replayable record

File Layout

notebooks/
  agent_task_system_health.py      # Source of truth (Jupytext)
  agent_task_system_health.ipynb   # Generated from .py
docs/
  NOTEBOOK_WORKFLOW.md             # This document
.gitea/workflows/
  notebook-ci.yml                  # CI gate: executes notebooks on PR/push

How Agents Work With Notebooks

  1. Create — Agent generates a .py notebook using # %% [markdown] and # %% code blocks
  2. Review — PR reviewers see clean diffs in Gitea (no JSON noise)
  3. Generatejupytext --to ipynb produces the .ipynb before merge
  4. Execute — Papermill runs the notebook with injected parameters
  5. Archive — Output notebook is committed to a reports/ branch or artifact store

Converting Between Formats

# .py -> .ipynb
jupytext --to ipynb notebooks/agent_task_system_health.py

# .ipynb -> .py
jupytext --to py notebooks/agent_task_system_health.ipynb

# Execute with parameters
papermill notebooks/agent_task_system_health.ipynb output.ipynb \
  -p threshold 1.0 -p hostname forge-vps-01

CI Gate

The notebook-ci.yml workflow executes all notebooks in notebooks/ on every PR and push, ensuring that checked-in notebooks still run and produce outputs.

Why This Matters

Problem Notebook Solution
Ephemeral agent reasoning Markdown cells narrate the thought process
Stateless single-turn tools Stateful cells persist variables across steps
Unreviewable binary artifacts .py source is diffable and PR-friendly
No execution audit trail Output notebook preserves code + outputs + metadata