Description

1. Alternate Model Retry: In case of failed requests, ReliableGPT can intelligently retry with alternative models like GPT-4, GPT3.5, GPT3.5 16k, or text-davinci-003. This ensures that even if one model encounters issues, your application can seamlessly switch to a reliable backup.

2. Larger Context Window Models: To address Context Window Errors, ReliableGPT can retry requests with models that support larger context windows. This feature enhances the model's ability to understand and generate context-rich responses.

3. Semantic Similarity-based Cached Response: Efficiently handle errors by providing cached responses based on semantic similarity. This means that even if a request fails, ReliableGPT can offer responses that closely match the intended content, improving user satisfaction.

4. Fallback API Key Retry: When faced with Invalid API Key errors, ReliableGPT can automatically retry requests using a fallback API key. This redundancy ensures that your application remains operational even if there are issues with the primary key.

5. Switch between Azure OpenAI and raw OpenAI: ReliableGPT offers the flexibility to seamlessly switch between Azure OpenAI and raw OpenAI services, allowing you to tailor your setup to specific requirements or preferences.

6. Caching for Overloaded Servers: To handle server overload situations gracefully, ReliableGPT incorporates caching mechanisms. This helps maintain smooth operation during peak usage times, preventing service disruptions.

7. Rotated Key Handling: Managing rotated keys can be a complex task, but ReliableGPT simplifies this process. It ensures that your service remains uninterrupted even when you need to update or rotate API keys.

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