semvec/pypi-packages huggingface dataset:
hermes-system-nodes 1.0.1
Nodes to capture system metrics
Requires Python: >=3.10

# Hermes system nodes
[![PyPI version](https://badge.fury.io/py/hermes-system-nodes.svg)](https://pypi.org/project/hermes-system-nodes)

A collection of nodes related capturing system metrics.

## Installation

### From PyPI

Install the package directly from PyPI using pip:

```bash
pip install hermes-system-nodes
```

### From Source

Clone the repository and install dependencies:

```bash
git clone https://github.com/node-hermes/hermes-system-nodes
pip install -e hermes-system-nodes
```

## Development

This project depends on UV for managing dependencies.
Make sure you have UV installed and set up in your environment.

You can find more information about UV [here](https://docs.astral.sh/uv/getting-started/installation/).

```bash
uv venv
```

```bash
uv sync --all-extras --dev
```
sticklight 0.1.7
The Official Sticklight Python SDK
Requires Python: >=3.10
Keywords: agent, ai, analytics, anthropic, chatbot, customer support, data, data-driven, gpt, insights, llm, logging, metrics, observability, openai, platform, product, product analytics, sticklight, support

# Sticklight Python SDK

The official Python SDK for [Sticklight](https://sticklight.io).

## Installation

```sh
pip install sticklight
# OR
uv add sticklight
```

## Quick Start

```python
import sticklight as sl

# Authenticate with your API key
sl.init("your-api-key")

# Publish an event
sl.capture(
    "user_sent_message",
    user_id="user_123",
    message="I need help with your new feature",
    #  ... Any other data you want to track
)
```

## Authentication

You'll need a Sticklight API key to use this SDK. You can either:

1. Set it as an environment variable:
   ```sh
   export STICKLIGHT_API_KEY="your-api-key"
   ```

2. Use `init` to authenticate at the start of your application:
   ```python
   sl.init("your-api-key")
   ```

To get your API key, go to the [Sticklight Platform] and create a new key.

## Requirements

- Python 3.11 or higher

## About Sticklight

Sticklight provides precise and actionable analytics for AI-powered products, giving product managers and developers deep insights into how users interact with their AI features. Our platform helps you:

- Understand user patterns and behaviors in LLM interactions
- Identify where users struggle and detect critical issues in real-time
- Make data-driven decisions for your AI product roadmap

Think of it as product analytics, but specifically designed for the unique challenges of AI applications. Whether you're running a support chatbot, internal agentic architecture, or any other LLM-oriented product, Sticklight instills deep confidence and clarity in your product decisions.

## Development

```sh
# Clone the repository
git clone https://github.com/sticklight-io/sticklight-python.git
cd sticklight-python

# Install dependencies
uv sync --dev

# Run tests
uv run scripts/test

# Run lint
uv run scripts/lint
```

## License

Apache 2.0

## Support

- [Website](https://sticklight.io)
- [Documentation](https://docs.sticklight.io)
- [GitHub Issues](https://github.com/sticklight-io/sticklight-python/issues)
- [Email](mailto:support@sticklight.io)
- [Book a demo](https://calendly.com/matan-sticklight/30min)

[Sticklight Platform]: https://platform.sticklight.io