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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
YANDEX_API_KEYYesYour Yandex API key. Obtain from Yandex Cloud console.
YANDEX_FOLDER_IDYesYour Yandex folder ID. Obtain from Yandex Cloud console.

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
completeA

Генерация текста через YandexGPT. Синхронный запрос с ожиданием ответа.

complete_asyncB

Асинхронная генерация текста через YandexGPT. Возвращает ID операции для проверки статуса.

get_operationA

Проверить статус асинхронной операции по ID.

embed_textB

Получить эмбеддинг (векторное представление) одного текста.

embed_documentsB

Получить эмбеддинги для массива текстов (batch).

classifyC

Zero-shot классификация текста по заданным меткам.

summarizeC

Суммаризация текста с помощью YandexGPT.

tokenizeB

Токенизация текста моделью YandexGPT. Возвращает список токенов и их количество.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.5/5.0

Scored across 8 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: synchronous generation, asynchronous generation, status checking, single embedding, batch embeddings, classification, summarization, and tokenization. No overlap or ambiguity.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern (e.g., complete_async, get_operation, embed_documents). No mixing of conventions or vague verbs.

Tool Count5/5

8 tools is well-scoped for a language model server, covering generation, embeddings, classification, summarization, and tokenization without excess or deficiency.

Completeness4/5

Core functionalities are covered, including both sync and async generation with status tracking, embeddings, classification, summarization, and tokenization. Minor gaps like lack of cancellation for async operations or model listing.

Maintenance

ActivitySlowing
ResponsivenessNo issues