Best AI API Router From APIYI.com
Common issues and solutions when using AI models
"Why does my Claude model keep disconnecting in OpenCode?" This is a major headache for many developers using OpenCode (now rebranded as Crush) to access Claude models. The core reason is simple: OpenCode uses the native Anthropic SDK to invoke Claude, while many third-party API proxy services only support the OpenAI-compatible format. This format mismatch … Read more
Ever run into this situation: you're using the claude-opus-4-6-thinking model, and calls via /v1/chat/completions (OpenAI format) work perfectly fine, but when you switch to /v1/messages (Anthropic native format), you get the error content: Input should be a valid list? This seemingly counterintuitive phenomenon actually reveals a deep compatibility issue with the Thinking model across the … Read more
Author's Note: A detailed look at how Large Language Model APIs like GPT-4o, Claude, Gemini, and DeepSeek handle PDF inputs, including three processing strategies: text extraction, image understanding, and client-side handling. "Can I pass a PDF directly into a Large Language Model API?" This is one of the most common questions developers ask. The answer … Read more
title: "Claude Code Prompt Caching: TTL Mechanics, Costs, and Optimization Strategies" description: "A deep dive into Claude Code's prompt caching TTL, the differences between 5-minute and 1-hour tiers, and how to optimize costs across Anthropic API and AWS Bedrock." Author's Note: This guide breaks down the TTL mechanism for Claude Code prompt caching, explains the … Read more
Author's Note: Analysis of the frequent 503 "high demand" errors with Nano Banana 2: It's not your code, it's Google's server capacity. 4 solutions with code included. The recommended approach is to temporarily switch to Nano Banana Pro to ensure your service isn't interrupted. If you've been frequently seeing this error when calling Nano Banana … Read more
Author's Note: A detailed analysis of the root cause of the 429 rate limit issue with Gemini 3.1 Flash Image Preview image generation, comparing rate limiting strategies across AI Studio, Vertex AI, and third-party platforms, and providing 4 proven solutions. When generating images with Gemini 3.1 Flash Image Preview, the most frustrating part isn't the … Read more
When using Nano Banana 2 for image generation, you might have encountered this error: The input token count exceeds the maximum number of tokens allowed (65536). This is one of the most common confusions developers face when calling the Gemini image generation API — the official model card clearly states an Input token limit of … Read more
Encountering an IMAGE_SAFETY error while using Nano Banana Pro for image editing is a common point of confusion for many developers. This article dives deep into Nano Banana Pro's five major minor protection mechanisms to help you understand why images suspected of featuring minors are rejected by the system. Core Value: By the end of … Read more
Dealing with long response times when calling the Gemini 3 Flash Preview model is a common challenge for developers. In this post, we'll dive into configuration tips for key parameters like timeout, max_tokens, and thinking_level to help you master response time optimization for Gemini 3 Flash Preview. Core Value: By the end of this guide, … Read more
Handling AI understanding for huge video files has always been a pain point for developers—uploads timeout, base64 encoding causes memory overflows, and APIs return 413 errors. The good news is that in January 2026, Google significantly boosted Gemini API's file handling capabilities: inline upload limits increased from 20MB to 100MB, Files API now supports up … Read more
