semvec/pypi-packages huggingface dataset:
botrun-litellm 0.2.6
A wrapper for litellm with TAIDE configuration support
Requires Python: >=3.11

# README.md
# botrun_litellm

A wrapper for litellm with TAIDE configuration support.

## Installation

```bash
pip install botrun_litellm
```

## Usage

```python
from botrun_litellm import botrun_litellm_completion

response = botrun_litellm_completion(
    messages=[{"role": "user", "content": "Hello!"}],
    model="openai/gpt-4"
)
```
## Usage 2
```python
from botrun_litellm import botrun_litellm_completion

response = botrun_litellm_completion(
    messages=[{"role": "user", "content": "Hello!"}],
    model="taide/openai/Llama3-TAIDE-LX-70B-Chat",
    api_base: "base_url",
    api_key: "api_key"

)
```


## Environment Variables

The following environment variables are required:

- `TAIDE_BASE_URL`: Base URL for TAIDE API
- `TAIDE_API_KEY`: API key for TAIDE

## Supported models
- "taide/openai/Llama-3.1-405B-Instruct-FP8",
- "taide/openai/Llama-3.1-70B",
- "taide/openai/Llama-3.1-Nemotron-70B-Instruct",
- "taide/openai/Llama3-TAIDE-LX-70B-Chat",
- "taide/openai/TAIDE-LX-70B-Chat"


## License

MIT License

# export requirements.txt
```bash
poetry export -f requirements.txt --output requirements.txt --without-hashes --without-urls
```
meegsim 0.0.2
Building blocks (waveforms, SNR, connectivity) for M/EEG simulations with MNE-Python
Requires Python: >=3.9
Keywords: EEG, MEG, connectivity, simulation

# MEEGsim

[![DOI](https://zenodo.org/badge/832185753.svg)](https://doi.org/10.5281/zenodo.15106042)

## Overview

**MEEGsim** is a Python package that provides template waveforms for simulating M/EEG data with known ground truth source activity. In addition, it simplifies the manipulation of relevant simulation parameters (e.g., signal-to-noise ratio and source connectivity). As a result, the users can focus on _what_ to simulate, not on _how_ to implement the simulation. The package is compatible with MNE-Python and re-uses the forward and inverse modeling functionality provided by MNE.

Find more details about the package in the [documentation](https://meegsim.readthedocs.io/en/latest/). For a brief overview of the functionality, check the [poster](https://drive.google.com/file/d/14KVjHdnnEdUFOrbRWb59Rqsj_cwjElHV/view?usp=sharing) about MEEGsim that was presented at the [CuttingEEGX](https://cuttingeegx.org/) conference (28-31.10.2024, Nijmegen, The Netherlands, and online).

## Development

### Creating a Local Copy of the Project

1. Clone the repository.

2. Create an environment (conda/mamba/virtualenv).

3. Switch to the project folder and install the package and all dependencies:

```bash
cd meegsim
pip install -e .[dev]
```

4. You're ready to start now!

### Running Tests

```
pytest
```

### Building the Documentation

1. Install the required packages.

```bash
pip install -e .[docs]
```

2. Build the documentation.

```bash
make html
```

3. Open it in the web browser.

```bash
make show
```