| Name | llm-command-r JSON |
| Version |
0.1
JSON |
| download |
| home_page | None |
| Summary | Access the Cohere Command R family of models |
| upload_time | 2024-04-04 14:33:06 |
| maintainer | None |
| docs_url | None |
| author | Simon Willison |
| requires_python | None |
| license | Apache-2.0 |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# llm-command-r
[](https://pypi.org/project/llm-command-r/)
[](https://github.com/simonw/llm-command-r/releases)
[](https://github.com/simonw/llm-command-r/actions/workflows/test.yml)
[](https://github.com/simonw/llm-command-r/blob/main/LICENSE)
Access the [Cohere Command R](https://docs.cohere.com/docs/command-r) family of models via the Cohere API
## Installation
Install this plugin in the same environment as [LLM](https://llm.datasette.io/).
```bash
llm install llm-command-r
```
## Configuration
You will need a [Cohere API key](https://dashboard.cohere.com/api-keys). Configure it like this:
```bash
llm keys set cohere
# Paste key here
```
## Usage
This plugin adds two models.
```bash
llm -m command-r 'Say hello from Command R'
llm -m command-r-plus 'Say hello from Command R Plus'
```
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
```bash
cd llm-command-r
python3 -m venv venv
source venv/bin/activate
```
Now install the dependencies and test dependencies:
```bash
llm install -e '.[test]'
```
To run the tests:
```bash
pytest
```
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