https://github.com/dtedesco1/llm_nexus

https://github.com/dtedesco1/llm_nexus

Last synced: 11 days ago
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• Host: GitHub
• URL: https://github.com/dtedesco1/llm_nexus
• Owner: dtedesco1
• License: mit
• Created: 2024-07-20T02:43:51.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2025-01-01T01:59:03.000Z (28 days ago)
• Last Synced: 2025-01-01T02:15:11.853Z (28 days ago)
• Language: Python
• Size: 37.1 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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README

        
# LLM Nexus

LLM Nexus is a Python package that provides a unified interface for interacting with multiple Language Model providers, including OpenAI, Anthropic, and Google AI.

## Features

- Unified API for multiple LLM providers

- Support for text completions and function calls

- Easy integration with OpenAI, Anthropic, and Google AI models

## Installation

You can install LLM Nexus using pip:

```

pip install llm-nexus

```

## Usage

Here's a quick example of how to use LLM Nexus:

```python

from llm_nexus import ModelProvider

provider = ModelProvider(openai_api_key="your-openai-key", anthropic_api_key="your-anthropic-key", googleai_api_key="your-googleai-key")

result = provider.completion(

    instructions="Return a rhyme.",

    user_prompt="Would a rose by any other name smell as sweet?",

    provider_name="openai",

    model_name="gpt-3.5-turbo"

)

print(result)

# Example response:  "Yes, a rose's fragrance can't be beat."

```

For function calls:

```python

from llm_nexus import ModelProvider, Function, Argument, ParamType

provider = ModelProvider(openai_api_key="your-openai-key", anthropic_api_key="your-anthropic-key", googleai_api_key="your-googleai-key")

function = Function(

    name="underrated_historical_events",

    description="Name up to 3 underrated historical events based on the user's request",

    arguments=[

        Argument(name="event", param_type=ParamType.STRING, description="The name of the event."),

        Argument(name="year", param_type=ParamType.INTEGER, description="The year the event began."),

        Argument(name="reasoning", param_type=ParamType.STRING, description="A brief description of why you feel this event is underrated.")

    ],

)

result = provider.function_call(

    user_prompt="What are some underrated A.D. events in African history?",

    function=function,

    provider_name="openai",

    model_name="gpt-3.5-turbo",

    return_array=True

)

print(result)

# Example reponse: 

# {

#     "array": [

#         {

#             "event": "Kingdom of Aksum",

#             "year": 100,

#             "reasoning": "One of the most powerful early medieval empires in East Africa, yet not widely known or studied in history classes."

#         },

#         {

#             "event": "Mali Empire",

#             "year": 1235,

#             "reasoning": "A prosperous West African empire centered in Mali that controlled trade routes across the Sahara. Advanced cities and universities but its achievements are not always emphasized."

#         },

#         {

#             "event": "Great Zimbabwe",

#             "year": 1450,

#             "reasoning": "Sophisticated city and trade center indicating a highly organized society, but origins are still debated and its influence on the region could be discussed more."

#         }

#     ]

# }

```

## Supported Python Versions

LLM Nexus supports Python 3.7 and above.

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.