# ConnectLM
The goal of ConnectLM is providing python library that enables developers to effortlessly interface with various LLMs such as OpenAI's GPT-4, Google's BERT, and others.
This package encapsulates the complex interactions with these LLMs behind intuitive and user-friendly proxy classes, allowing developers to focus on leveraging the power of these advanced models, without being bogged down by intricate API details and interfacing code.
## Features (WIP)
1. **Multiple LLM Support:** The package supports multiple LLMs, including but not limited to GPT-4, BERT, and others. It is also designed with flexibility in mind to accommodate future models.
2. **Uniform API:** It provides a uniform API for different LLMs, allowing developers to switch between models without the need to extensively change the codebase.
3. **Error Handling:** It includes built-in error handling and retry logic, ensuring that your application remains resilient against minor network hiccups and transient errors.
4. **Optimized Performance:** With caching and other optimizations, this package makes sure you get the best possible performance out of your chosen LLM.
5. **Asynchronous Support:** For developers who require high performance and non-blocking code execution, this package offers asynchronous methods.
## Installation
You can install the `connectlm` package via pip:
```bash
pip install connectlm
```
## Quickstart
Here's an example of how to connect to ChatGPT and use it to generate text:
```python
import connectlm as cm
query = cm.QueryChat()
while (prompt := input("you : ")) != "exit":
message = query.send(prompt)
print(f"\n{message['role']} : {message['content']}\n")
```
## Documentation
For detailed information on using this package, please refer to our [documentation](link_to_documentation).
## Contributing
We welcome contributions! Please see our [contributing guidelines](link_to_contributing_guidelines) for details.
## License
This project is licensed under the terms of the MIT license. See [LICENSE](link_to_license) for more details.
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"description": "# ConnectLM\n\nThe goal of ConnectLM is providing python library that enables developers to effortlessly interface with various LLMs such as OpenAI's GPT-4, Google's BERT, and others. \n\nThis package encapsulates the complex interactions with these LLMs behind intuitive and user-friendly proxy classes, allowing developers to focus on leveraging the power of these advanced models, without being bogged down by intricate API details and interfacing code.\n\n## Features (WIP)\n\n1. **Multiple LLM Support:** The package supports multiple LLMs, including but not limited to GPT-4, BERT, and others. It is also designed with flexibility in mind to accommodate future models.\n\n2. **Uniform API:** It provides a uniform API for different LLMs, allowing developers to switch between models without the need to extensively change the codebase.\n\n3. **Error Handling:** It includes built-in error handling and retry logic, ensuring that your application remains resilient against minor network hiccups and transient errors.\n\n4. **Optimized Performance:** With caching and other optimizations, this package makes sure you get the best possible performance out of your chosen LLM.\n\n5. **Asynchronous Support:** For developers who require high performance and non-blocking code execution, this package offers asynchronous methods.\n\n## Installation\n\nYou can install the `connectlm` package via pip:\n\n```bash\npip install connectlm\n```\n\n\n## Quickstart\n\nHere's an example of how to connect to ChatGPT and use it to generate text:\n\n```python\nimport connectlm as cm\n\nquery = cm.QueryChat()\nwhile (prompt := input(\"you : \")) != \"exit\":\n message = query.send(prompt)\n print(f\"\\n{message['role']} : {message['content']}\\n\")\n```\n\n\n## Documentation\n\nFor detailed information on using this package, please refer to our [documentation](link_to_documentation).\n\n\n## Contributing\n\nWe welcome contributions! Please see our [contributing guidelines](link_to_contributing_guidelines) for details.\n\n\n## License\n\nThis project is licensed under the terms of the MIT license. See [LICENSE](link_to_license) for more details.\n",
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