caniollama
Does this local Ollama model actually support tool calling? Find out in seconds, not by reading a six-month-old blog post.
uvx caniollama check qwen2.5-coder:7b
or test everything you've pulled:
uvx caniollama check
What it does
Runs a small, fixed test suite against a locally running Ollama instance and classifies the result into one of three real answers:
- Structured pass -- the model returns a proper
tool_callsfield. - JSON-in-content fallback -- the model knows tool calling exists but emits the intent as JSON-shaped text instead of the structured field.
- Rejected by backend -- Ollama 400s the moment
toolsis included.
After a run, you'll be asked -- every time, explicitly -- whether to submit the result
(metadata only: model name, quantization, Ollama version, pass/fail per case) to the
public caniollama registry. See
docs/privacy.md for exactly what is and isn't ever sent.
Install
No install needed for a one-off check:
uvx caniollama check <model>
# or
pipx run caniollama check <model>
For repeated use:
uv tool install caniollama
Development
uv sync
uv run pytest
uv run ruff check .
uv run mypy src
License
MIT
1 maintainer
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