Overview

High-performance API for production AI inference, fully compatible with the OpenAI endpoint.

AnotherAI's inference API provides a unified, OpenAI-compatible interface for accessing AI models from multiple providers. With built-in features like structured outputs, caching, and cost tracking, it's designed for production-scale AI applications.

OpenAI Compatible - Drop-in replacement for OpenAI's API. Use your existing code with minimal changes.
Multi-Provider Support - Access models from OpenAI, Anthropic, Google, and more through a single API endpoint.
Structured Outputs - Generate type-safe JSON responses using Pydantic, Zod, or JSON Schema for reliable data extraction.
Cost Monitoring - Track estimated costs per request with detailed metadata showing token usage and pricing information.
Request Caching - Reduce costs and latency by automatically caching repeated requests with configurable TTL settings.

Explore the Inference API

Models

Access and manage AI models from multiple providers. Learn how to list available models, switch between them, and use model versioning.

Reasoning Models

Enable step-by-step reasoning with supported models. Get detailed thought processes and explanations for complex problem-solving.

Structured Outputs

Generate type-safe JSON responses using Pydantic, Zod, or JSON Schema. Ensure reliable, validated data extraction from AI models.

Caching

Reduce costs and latency with intelligent caching. Configure caching strategies for both text and image-based requests.

Cost Tracking

Monitor API usage with detailed cost metadata. Track estimated costs per request and optimize your AI spending.

Modalities

Work with text, images, and other modalities. Learn how AnotherAI handles different input and output types.