init

.gitignore

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+.venv
+__pycache__/
+*.py[cod]
+*$py.class
+venv
+.eggs
+.pytest_cache
+*.egg-info
+.DS_Store
+.vscode
+dist
+build

LICENSE

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+ISC LICENSE
+
+Copyright James Eversole (james@eversole.co)
+
+Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies.
+
+THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.

README.md

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+# llm-tools-tricu-bridge
+
+[![PyPI](https://img.shields.io/pypi/v/llm-tools-tricu-bridge.svg)](https://pypi.org/project/llm-tools-tricu-bridge/)
+
+A tool that allows running Tricu expressions
+
+## Installation
+
+Install this plugin in the same environment as [LLM](https://llm.datasette.io/).
+```bash
+llm install llm-tools-tricu-bridge
+```
+## Usage
+
+To use this with the [LLM command-line tool](https://llm.datasette.io/en/stable/usage.html):
+
+```bash
+llm --tool tricu-bridge "Example prompt goes here" --tools-debug
+```
+
+With the [LLM Python API](https://llm.datasette.io/en/stable/python-api.html):
+
+```python
+import llm
+from llm_tools_tricu_bridge import tricu-bridge
+
+model = llm.get_model("gpt-4.1-mini")
+
+result = model.chain(
+    "Example prompt goes here",
+    tools=[tricu-bridge]
+).text()
+```
+
+## Development
+
+To set up this plugin locally, first checkout the code. Then create a new virtual environment:
+```bash
+cd llm-tools-tricu-bridge
+python -m venv venv
+source venv/bin/activate
+```
+Now install the dependencies and test dependencies:
+```bash
+llm install -e '.[test]'
+```
+To run the tests:
+```bash
+python -m pytest
+```

llm_tools_tricu_bridge.py

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+import llm
+
+
+def tricu-bridge(input: str) -> str:
+    """
+    Description of tool goes here.
+    """
+    return f"hello {input}"
+
+
+@llm.hookimpl
+def register_tools(register):
+    register(tricu-bridge)

pyproject.toml

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+[project]
+name = "llm-tools-tricu-bridge"
+version = "0.1"
+description = "A tool that allows running Tricu expressions"
+readme = "README.md"
+authors = [{name = "James Eversole"}]
+license = "Apache-2.0"
+classifiers = []
+requires-python = ">=3.9"
+dependencies = [
+    "llm>=0.26"
+]
+
+[build-system]
+requires = ["setuptools"]
+build-backend = "setuptools.build_meta"
+
+[project.entry-points.llm]
+llm_tools_tricu_bridge = "llm_tools_tricu_bridge"
+
+[project.optional-dependencies]
+test = ["pytest", "llm-echo>=0.3a1"]

tests/test_llm_tools_tricu_bridge.py

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+import llm
+import json
+from llm_tools_tricu_bridge import tricu-bridge
+
+
+def test_tool():
+    model = llm.get_model("echo")
+    chain_response = model.chain(
+        json.dumps(
+            {
+                "tool_calls": [
+                    {"name": "tricu-bridge", "arguments": {"input": "pelican"}}
+                ]
+            }
+        ),
+        tools=[tricu-bridge],
+    )
+    responses = list(chain_response.responses())
+    tool_results = json.loads(responses[-1].text())["tool_results"]
+    assert tool_results == [
+        {"name": "tricu-bridge", "output": "hello pelican", "tool_call_id": None}
+    ]