Name | openmltelemetry JSON |
Version |
0.0.1.dev1
JSON |
| download |
home_page | |
Summary | End-to-end observability with built-in security guardrails. |
upload_time | 2024-02-06 00:22:34 |
maintainer | |
docs_url | None |
author | WhyLabs.ai |
requires_python | >=3.8,<4.0 |
license | Apache-2.0 |
keywords |
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VCS |
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bugtrack_url |
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requirements |
No requirements were recorded.
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No Travis.
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coveralls test coverage |
No coveralls.
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# llm-traceguard
**llm-traceguard** is an open-source Python library that provides Open Telemetry integration with Large Language Models (LLMs). It is designed to facilitate tracing and safeguarding applications that leverage LLMs, ensuring better monitoring and reliability.
## Features
- Easy integration with Open Telemetry for LLM applications.
- Real-time tracing and monitoring of LLM-based systems.
- Enhanced safeguards and insights for your LLM applications.
## Installation
To install **llm-traceguard**, simply use pip:
```bash
pip install llm-traceguard
```
## Usage 🚀
Here's a basic example of how to use **llm-traceguard** in your project:
```python
import llm_traceguard
llm_traceguard.instrument()
```
## Requirements 📋
- Python 3.8 or higher
- opentelemetry-api
- opentelemetry-sdk
## Contributing 👐
Contributions are welcome! For major changes, please open an issue first to discuss what you would like to change. Please make sure to update tests as appropriate.
## License 📄
**llm-traceguard** is licensed under the Apache-2.0 License. See [LICENSE](LICENSE) for more details.
## Contact 📧
For support or any questions, feel free to contact us at support@whylabs.ai.
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