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- rag_example: rewrite for current haiku.rag. The MCP server is `haiku-rag mcp` and opens the database read-only, so documents are added with the CLI; the page described `serve`, SQLite storage and add/delete tools that no longer exist. - mcp: stdio servers accept cwd and inherit HOME, LOGNAME, PATH, SHELL, TERM and USER. - app_config: each openaiCompatible endpoint is its own provider; XDG_DATA_HOME applies everywhere but Windows; list OTERM_OLLAMA_IMAGE_MODEL and everything under OTERM_DATA_DIR. - commands: add Copy message, an Images section and the command-line options; clicking a code block copies the whole message. - installation: document the speak extra and nix updates; drop the 0.13.1 tap note. - development: uv-based setup; docs are built with Zensical. - One H1 per page; no em dashes. - README points at the CHANGELOG; drop the stale announcement banner. |
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| .python-version | ||
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| README.md | ||
Oracle: example oterm tool plugin
A minimal example of how to ship a Python package whose function is auto-discovered as an oterm tool.
The tool itself is trivial, oracle(question) always answers "oterm", so you can focus on the packaging:
-
src/oracle/tool.pydefines the function. Its name, docstring, and type annotations are what oterm passes to the model. -
pyproject.tomlregisters the function under theoterm.toolsentry-point group:[project.entry-points."oterm.tools"] oracle = "oracle.tool:oracle"
Install it into the same environment as oterm:
cd docs/oracle
uv pip install . # or: pip install .
After restart, the oracle tool appears in the new-chat tool selector.
See the tools guide for the full walkthrough.