guide.select.ax
Developer guides for AI routing
Practical how-to guides for reducing inference costs, routing model traffic, using OpenAI-compatible APIs, and building more resilient AI applications.
Select guide
How to Reduce Inference Costs with DeepSeek V4
Learn actionable strategies to reduce inference costs for DeepSeek V4. Optimize token usage, implement caching, and save on your LLM API bills effectively.
Read guide
Select guide
How to Build Agentic Coding Workflows with Kimi K2
Learn to build agentic coding workflows using Kimi K2 and the OpenAI SDK. Follow this practical guide to automate code generation, debugging, and refactoring.
Read guide
Select guide
How to Switch from OpenAI to Select.ax
Learn how to migrate your LLM integration from OpenAI to Select.ax. Follow this guide to update your SDK configuration and start using the smart-select model.
Read guide
Select guide
How to Implement Smart Routing AI Agents for Cost-Efficient Inference
Learn how to reduce AI inference costs by implementing smart routing agents. Route queries dynamically with the 'smart-select' model and OpenAI SDK.
Read guide
Select guide
How to Configure a Custom Endpoint for Hermes Agent
Learn how to configure custom endpoints in Hermes Agent to connect to self-hosted or OpenAI-compatible inference servers using our step-by-step developer guide.
Read guide
Select guide
How to Use DeepSeek V4 for RAG Applications
Learn to integrate DeepSeek V4 into your RAG pipeline using the OpenAI SDK. Step-by-step guide for developers to build accurate, context-aware AI systems.
Read guide
Select guide
How to Run Multiple AI Models with One API Key
Learn how to streamline your AI development by running multiple LLM models through a single API key using a unified gateway proxy pattern.
Read guide
Select guide
How to Use Qwen3 for Coding
Learn how to use Qwen3 for coding tasks. Follow this developer guide to integrate Qwen3 via API for efficient code generation, debugging, and refactoring.
Read guide
Select guide
How to Build an Agentic Workflow with DeepSeek
Learn to build autonomous agentic workflows using DeepSeek. Follow this developer guide to implement tool calling with the OpenAI SDK.
Read guide
Select guide
How to Reduce API Inference Costs by Routing to Open Models
Learn how to reduce API inference costs by routing tasks to optimized open models. Implement smart model switching and cut your monthly AI spend effectively.
Read guide
Select guide
How to Utilize Minimax M2 for Extended Context Processing
Learn how to use Minimax M2 for long context processing using the OpenAI SDK. Step-by-step guide for handling massive token windows in your applications.
Read guide
Select guide
How to Set Up an OpenAI-Compatible Inference Router
Learn to set up an OpenAI-compatible inference router to centralize LLM requests, reduce vendor lock-in, and optimize costs with a simple API configuration.
Read guide
Select guide
How to Use Select.ax with the Python SDK
Learn to use Select.ax with the Python SDK. Optimize your LLM inference costs and routing with this developer-focused guide using the OpenAI client.
Read guide
Select guide
How to Use Select.ax with TypeScript
Learn how to integrate Select.ax into your TypeScript application using the OpenAI SDK. Follow this guide to configure the baseURL and start making calls.
Read guide
Select guide
How to Benchmark LLM Inference Providers
Learn to benchmark LLM inference providers accurately by measuring TTFT and throughput. Follow this developer guide using OpenAI-compatible SDKs.
Read guide
Select guide
How to Implement Model Fallback for Resilient AI Apps
Learn how to implement model fallback in your AI application to ensure high availability and reliability using the OpenAI SDK pattern.
Read guide
Select guide
How to Use GLM-4 Vision Capabilities for Image Analysis
Learn how to use GLM-4 vision capabilities for image analysis using the OpenAI SDK and base64-encoded inputs in this step-by-step developer guide.
Read guide
Select guide
How to Calculate Inference Cost per Token for LLM APIs
Learn how to programmatically calculate inference costs per token using the OpenAI SDK. Automate your AI budget tracking and optimize LLM spending today.
Read guide
Select guide
How to Migrate Your LangChain App to Select Ax
Learn how to migrate your LangChain application to Select Ax to access frontier models with Smart Select routing via a simple OpenAI-compatible API swap.
Read guide
Select guide
How to Integrate Select.ax into Cursor IDE for Enhanced Code Completion
Learn how to integrate Select.ax into Cursor IDE. Configure the API endpoint, set the smart-select model, and optimize your coding workflow today.
Read guide
Select guide
How to Monitor AI Model Uptime and API Availability
Learn how to effectively monitor AI model uptime and latency using the OpenAI SDK. Build reliable observability pipelines for your LLM deployments today.
Read guide
Select guide
How to Integrate Kimi K2 with the OpenAI SDK
Learn to integrate Kimi K2 with the OpenAI SDK. Follow this practical guide to configure the base URL and start making API requests in your Python projects.
Read guide
Select guide
Optimizing Inference Costs: Dynamic Model Selection
Learn to reduce LLM inference costs by dynamically routing queries to the right model based on complexity, using cost vs quality best practices.
Read guide
Select guide
How to Integrate Chutes AI with Python Using the OpenAI SDK
Learn how to integrate Chutes AI into your Python projects using the OpenAI SDK. Follow this step-by-step guide to configure your API calls efficiently.
Read guide
Select guide
How to Reduce AI API Latency in Production
Learn to reduce AI API latency with actionable tips: implement streaming, optimize token output, and use parallel requests for faster LLM performance.
Read guide
Select guide
How to Use DeepSeek V4 for High-Performance Code Generation
Learn how to use DeepSeek V4 for efficient code generation using the OpenAI SDK. Follow this step-by-step guide to integrate high-performance AI into your workflow.
Read guide
Select guide
How to Implement Session Pinning for AI Routing
Learn how to implement session pinning in AI routing to ensure stateful conversational consistency and improve streaming performance for LLM applications.
Read guide
Select guide
How to Build with Featherless AI Models
Learn how to integrate open-source AI models into your app using the Featherless serverless inference platform and OpenAI-compatible SDKs.
Read guide
Select guide
How to Stream Responses from an OpenAI-Compatible API
Learn to stream LLM responses using the OpenAI SDK and custom endpoints. Improve latency and user experience with this practical, code-focused guide.
Read guide
Select guide
How to Choose Between DeepSeek and Claude for Your AI Workflows
Learn how to compare DeepSeek and Claude for your application. Follow this guide to evaluate latency, cost, and reasoning accuracy for your LLM implementation.
Read guide