| Name | llm-fireworks JSON |
| Version |
0.1a0
JSON |
| download |
| home_page | None |
| Summary | Access fireworks.ai models via API |
| upload_time | 2024-04-18 23:30:07 |
| 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-fireworks
[](https://pypi.org/project/llm-fireworks/)
[](https://github.com/simonw/llm-fireworks/releases)
[](https://github.com/simonw/llm-fireworks/actions/workflows/test.yml)
[](https://github.com/simonw/llm-fireworks/blob/main/LICENSE)
Access [fireworks.ai](https://fireworks.ai/) models via API
## Installation
Install this plugin in the same environment as [LLM](https://llm.datasette.io/).
```bash
llm install llm-fireworks
```
## Usage
Obtain a [Fireworks API key](https://fireworks.ai/api-keys) and save it like this:
```bash
llm keys set fireworks
# <Paste key here>
```
Run `llm models` to get a list of models.
Run prompts like this:
```bash
llm -m fireworks/models/llama-v3-70b-instruct 'five great names for a pet ocelot'
```
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
```bash
cd llm-fireworks
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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