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Yandex AI Studio
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In this article:

  • OpenAI-compatible APIs
  • Specialized Yandex Cloud APIs
  1. API references
  2. Overview

Specifics of API implementation in Yandex Cloud AI Studio

Written by
Yandex Cloud
Updated at January 29, 2026
  • OpenAI-compatible APIs
  • Specialized Yandex Cloud APIs

Yandex Cloud AI Studio offers a broad choice of APIs you can use to build various applications and address your business needs with the help of AI models. The APIs fall into two groups:

  • OpenAI-compatible APIs providing a unified interface for models, text and voice agents, files, and search.
  • Specialized APIs developed by Yandex Cloud for text and image generation, classification, model fine-tuning, and batch processing.

OpenAI-compatible APIsOpenAI-compatible APIs

Choose the OpenAI-compatible APIs to create agents, implement RAG scenarios, and for simple model prompting.

API Technology Description
Models API REST Getting a list of available models and their IDs
Chat Completions API REST Prompt-based text generation without dialog management
Conversations API REST Working with dialog history and context
Responses API REST Creating agents. Allows you to generate text, call tools, get structured responses, implement RAG scenarios, and create multi-agent systems
Realtime API WebSocket Low-latency streaming generation of text and audio for voice-input scenarios
Files API REST File upload, storage and management for RAG scenarios
Embeddings API REST Obtaining embeddings for semantic tasks
Vector Store API REST Data indexing and extraction for RAG

Specialized Yandex Cloud APIsSpecialized Yandex Cloud APIs

Use specialized AI Studio APIs for the YandexGPT Lite, YandexGPT Pro, and YandexART models, batch processing, text classification, model fine-tuning, and MCP server management.

Yandex Cloud APIs are designed based on gRPC. The API methods and data structures are described using Protocol Buffers (proto 3).

Unlike the APIs of most Yandex Cloud services, model APIs do not support the resource-based approach because they do not operate resources. Queries to AI Studio models are not idempotent.

API Technology Description
Text Generation API gRPC
REST
Prompt-based text generation, function invocation, structured response
Image Generation API gRPC
REST
Image generation based on text description
Batch Inference API gRPC Asynchronous processing of large request batches
Text Classification API gRPC
REST
Classification, moderation, and topic spotting
Embeddings API gRPC
REST
Text vectorization
Files API gRPC
REST
Loading and storing files and data
Dataset API gRPC Training dataset management
Tuning API gRPC Domain-based model fine-tuning
MCP Gateway API gRPC
REST
Creating, listing, and deleting MCP servers

See alsoSee also

  • gRPC documentation
  • Protocol Buffers documentation
  • Yandex Cloud API concepts

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