LLM Connectors

A Python library providing connectors for popular AI platforms including ChatGPT, Copilot, Gemini, and DeepSeek.

Installation

pip install llm-connectors

Usage

ChatGPT

from llm_connectors import ChatGPTConnector

# Initialize the connector
chatgpt = ChatGPTConnector(api_key="your-openai-api-key")

# Chat example
messages = [
    {"role": "user", "content": "Hello, how are you?"}
]
response = await chatgpt.chat(messages)
print(response["content"])

# Text generation example
text = await chatgpt.generate_text("Write a poem about AI")
print(text)

# Get embeddings
embeddings = await chatgpt.get_embeddings("Hello, world!")
print(embeddings)

Gemini

from llm_connectors import GeminiConnector

# Initialize the connector
gemini = GeminiConnector(api_key="your-google-api-key")

# Chat example
messages = [
    {"role": "user", "content": "Hello, how are you?"}
]
response = await gemini.chat(messages)
print(response["content"])

# Text generation example
text = await gemini.generate_text("Write a poem about AI")
print(text)

# Get embeddings
embeddings = await gemini.get_embeddings("Hello, world!")
print(embeddings)

Copilot and DeepSeek

Note: These connectors are currently placeholders and will be implemented when their respective APIs become available.

Features

• Unified interface for multiple AI platforms
• Async support for better performance
• Consistent API across different providers
• Support for chat, text generation, and embeddings
• Type hints for better IDE support

Requirements

• Python 3.8+
• OpenAI API key (for ChatGPT)
• Google API key (for Gemini)
• Microsoft API key (for Copilot, when available)
• DeepSeek API key (when available)

License

MIT License