feature to use our gpt models deployed on the Azure OpenAI service

Currently, Chatwith's bots rely solely on OpenAI models. While OpenAI offers excellent language capabilities, other LLMs like Claude, Gemini, and Lllama 3 are emerging as strong contenders with distinct advantages, particularly in areas like:

Function Calling: These models excel at executing external functions, enabling chatbots to perform actions beyond simply responding with text. This could involve accessing databases, retrieving information, generating images, or interacting with third-party services - all within the chatbot flow.

Cost-effectiveness: Compared to OpenAI's models, alternatives like Claude and Gemini often offer comparable performance at a lower cost, making them a more budget-friendly option for chatbot developers.

Real-world performance: Independent benchmarks and user feedback indicate that these LLMs often outperform OpenAI in terms of accuracy, responsiveness, and overall user experience in real-world scenarios.

Any additional details:

Integrating these LLMs with their function calling capabilities would offer immense value to Chatwith users:

Enhanced chatbot functionality: Chatbots could become more dynamic and interactive, performing real-world tasks and delivering more personalized and relevant responses.

Increased flexibility: Developers would have more options to tailor their chatbots to specific needs and budgets, choosing the LLM that best suits their requirements.

Competitive edge: Offering alternative LLMs would position Chatwith as a more robust and modern chatbot platform, attracting users seeking advanced capabilities.

Request:

We request that Chatwith expands its LLM support to include robust models with function calling features, like Claude, Gemini, and Lllama 3. This would unlock a new level of functionality, improve cost-effectiveness, and enhance the overall chatbot development experience within the Chatwith ecosystem.