| Name | llm-council JSON |
| Version |
0.1.3
JSON |
| download |
| home_page | None |
| Summary | Use LLM to generate and execute commands in your shell |
| upload_time | 2025-02-01 00:55:27 |
| maintainer | None |
| docs_url | None |
| author | Simon Willison |
| requires_python | None |
| license | MIT |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# llm-council
Get a council of LLMs to advise consult for you!
## Installation
This plugin should be installed in the same environment as [LLM](https://llm.datasette.io/).
```bash
llm install llm-council
```
### Supported models/providers
The models themselves are fixed as of now with:
- `openai`: `gpt-4o`
- `anthropic`: `clause-3.5-sonnet`
- `google`: `gemini-1.5-flash-latest`
The necessary `llm plugins` are already installed. But you still need to set the keys
```bash
llm keys set openai
llm keys set claude
llm keys set gemini
```
## Usage
I usually run every query on all LLMs just to see what they have to say. And I love the llm library. You can now assemble your own council of advisors by simply running `llm council` like this:
```bash
llm council 'whats the california traffic law around double white lines?'
```
By default, it uses `openai` and `anthropic`. But you can specify the providers by:
```bash
llm council -p openai -p anthropic 'tell me a joke'
```
Press Q or Ctrl + C to exit.
## The system prompt
This is the prompt used by this tool:
> Keep your answers brief and to the point.
Feel free to modify it by passing the `--system` arg.
## Development
To set up this plugin locally, first checkout the code. Then create a new virtual environment:
```bash
cd llm-council
uv venv
source .venv/bin/activate
uv pip install -r pyproject.toml
```
Now install the plugin with:
```bash
llm install -e .
```
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