Using Cometapi and OpenAI Official API Retry Logic Documentation

Introduction

This documentation aims to help you understand how to implement automatic request switching and retry logic when using cometapi and OpenAI official API. Priority is given to initiating requests through cometapi, and when error responses are received, the system automatically switches to OpenAI official API to retry the request.

Retry Logic Overview

The retry logic is divided into two main steps:

Prioritize cometapi: First attempt to make API requests using cometapi. If the request is successful, return the response result. If the request fails (e.g., encounters an HTTP error), proceed to step two.

Switch to OpenAI Official API: When a cometapi request fails, the program automatically switches to OpenAI official API to make the same request. If the request is successful, return the response result. If the request fails, return an error message to the user.

Implementation Details

Environment Setup

Before starting implementation, ensure you have installed the necessary Python libraries. This example uses OpenAI's Python client library, so you need to make sure it's installed:

Implementation Steps

Here are the specific implementation steps:

Initialize API Clients:

Create a cometapi client instance, set its base_url and api_key.

Create an OpenAI official API client instance, only requiring setting the api_key.

Implement Request Logic:

Attempt to make requests through the cometapi client.

Catch potential API errors (such as 400 or 500 errors). These errors are typically caused by request failures or error codes in responses.

If an error occurs, switch to the OpenAI official API client and make the same request.

For each request method, record and output error information (if any).

Return Response or Error Message:

If any request method succeeds, return the request result message.

If both request methods fail, return a string containing error information.

Example Code

Below is a Python example code implementing the retry logic:

Notes

Error Handling: In production environments, extend error logging functionality for better error handling and recording.

Performance Monitoring: Frequent switching to OpenAI official API may indicate issues with cometapi that require further investigation and optimization.

The implementation of this retry logic is designed to improve system robustness and request success rate, ensuring that the system can still provide normal service when specific API nodes experience problems.

Retry Logic Documentation for CometAPI and OpenAI Official API

Using Cometapi and OpenAI Official API Retry Logic Documentation#

Introduction#

Retry Logic Overview#

Implementation Details#

Environment Setup#

Implementation Steps#

Example Code#

Notes#