| Name | llm-reka JSON |
| Version |
0.1a0
JSON |
| download |
| home_page | None |
| Summary | Access Reka models via the Reka API |
| upload_time | 2024-04-18 02:26:49 |
| 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-reka
[](https://pypi.org/project/llm-reka/)
[](https://github.com/simonw/llm-reka/releases)
[](https://github.com/simonw/llm-reka/actions/workflows/test.yml)
[](https://github.com/simonw/llm-reka/blob/main/LICENSE)
Access Reka models via the Reka API
## Installation
Install this plugin in the same environment as [LLM](https://llm.datasette.io/).
```bash
llm install llm-reka
```
## Usage
Get [a Reka API key](https://platform.reka.ai/apikeys) and configure it like this:
```bash
llm keys set reka
# Paste in the API key
```
Use `llm -m reka-flash "prompt"` to run prompts against `reka-flash`.
The other models supported are `reka-core` and `reka-edge`.
Core is the most expensive, then Flash, then Edge is cheapest. [Pricing here]().
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
```bash
cd llm-reka
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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