ai-context-tools 0.8.5

AI workflow utilities for the AI Context Standard

ai-context-tools

AI workflow utilities for the AI Context Standard.

Version: tracks AI Context Standard version (currently 0.8.4)

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Installation

pip install ai-context-tools

Or for development (from the workspace):

pip install -e C:/Users/takahashi/GitHub/ai-context-tools

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Publishing to PyPI

Uses GitHub Actions with PyPI Trusted Publisher (OIDC — no API token needed).

One-time setup on PyPI: Configure a Trusted Publisher at
https://pypi.org/manage/account/publishing/
(or for a new package not yet on PyPI, use the "pending publisher" form)

Settings to enter:

• PyPI project name: ai-context-tools
• Owner: freesemt
• Repository: ai-context-tools
• Workflow: upload_to_pypi.yml
• Environment: (leave blank)

To publish: Go to Actions → "Manual Upload Python Package to PyPI" → Run workflow.

The workflow builds the package, uploads to PyPI via OIDC, and creates a version tag (e.g. v0.8.2).

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Tools

aic_tools.notebook — Read notebook cell outputs

Bypasses the built-in read_notebook_cell_output tool size limit by reading the .ipynb JSON directly from disk.

When to use (routing rule for AI assistants): After copilot_getNotebookSummary, check each cell's mime types. If a cell has application/vnd.code.notebook.stdout, use this tool — the built-in tool will fail silently with "output too large".

CLI:

python -m aic_tools.notebook <notebook.ipynb> <cell_number> [max_lines]

# Examples:
python -m aic_tools.notebook experiments/08d.ipynb 14
python -m aic_tools.notebook experiments/08d.ipynb 14 0   # all lines

Entry point (after install):

aic-notebook experiments/08d.ipynb 14

Python API:

from aic_tools.notebook import read_cell_output
read_cell_output("experiments/08d.ipynb", 14)
read_cell_output("experiments/08d.ipynb", 14, max_lines=0)  # all lines

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aic_tools.runcell — Execute a notebook cell with fresh outputs

Executes cells 1..N of a notebook via nbclient and prints the target cell's outputs to the terminal with no size limit. The companion to aic_tools.notebook (which reads stale outputs from disk).

When to use (routing rule for AI assistants):

• Use aic_tools.notebook when the cell's last-saved output is enough.
• Use aic_tools.runcell when you need fresh output — e.g. after editing code that the cell depends on, or when verifying a one-line fix without re-running the entire notebook in the GUI.

Install execution dependencies (nbclient, nbformat, ipykernel):

pip install ai-context-tools[run]

CLI:

python -m aic_tools.runcell <notebook.ipynb> <cell_number> \
    [--kernel NAME] [--timeout SEC] [--write] [--max-lines N]

# Examples:
python -m aic_tools.runcell experiments/08d.ipynb 14
python -m aic_tools.runcell experiments/08d.ipynb 14 --write    # save outputs
python -m aic_tools.runcell experiments/08d.ipynb 14 --kernel python3

Entry point (after install):

aic-runcell experiments/08d.ipynb 14

Python API:

from aic_tools.runcell import run_up_to_cell
cell = run_up_to_cell("experiments/08d.ipynb", 14)

Behaviour:

• Executes cells 1 through cell_number in order (markdown cells are skipped by nbclient automatically) so the kernel state is correctly built up.
• Read-only by default — the .ipynb is not modified unless --write is passed.
• Exit code 1 on cell error, file-not-found, or invalid arguments.

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Versioning

Package version tracks the AI Context Standard version that introduced each tool. 0.8.2 = notebook reader introduced in Standard v0.8.2.

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Relationship to other tools

Tool	Language	Role
ai-context-vscode	TypeScript / VS Code extension	Live notebook cell output reading + VS Code version recording (supersedes vscode-version-recorder)
ai-context-tools (this package)	Python	AI workflow utilities (notebook output reading, etc.)

All tools support the AI Context Standard.

VS Code users: The ai-context-vscode extension reads live cell outputs from the VS Code document model — no save required. This Python package serves as the fallback for terminal-only sessions or non-VS Code editors.

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License

MIT