# Limits and context

Three different limits: JSON size, model tokens, and organization request rate.

Source: https://shvydko.ai/en/docs/api/limits

## Current configuration

Runtime values are not frozen in this document. Read GET https://shvydko.ai/api/config for the current service mode, pricing and gateway limits. Read authenticated GET /v1/models for model context limits. Configuration alone does not prove inference availability.

## Check the current configuration

The current configuration panel reads its settings from GET /api/config. They may change between deployments. More keys do not increase an organization's quota.

Body size is measured in UTF-8 bytes, while model context is measured in tokens. Text in any language, JSON syntax, and criteria descriptions take up space. Character count is not an exact token count.

| Limit | What it limits |
| --- | --- |
| max_request_bytes | The full JSON request in bytes |
| max_questions | The number of questions in one request |
| requests_per_minute | The organization's shared API and Playground request rate |
| preview_request_limit | The organization's daily preview request count |
| preview_global_request_limit | Daily preview capacity across the entire service |
| reserve_tokens / max_input_tokens | The gateway's upper bound for usage accounting and financial reservations; this is not the model's context size |

## The model service defines the context

Read the current state and question-branch limits in GET /v1/models → models[].context. The max_input_tokens value from /api/config does not mean a state of that size will fit the model.

A large request can pass the byte-size check and still be rejected for exceeding model context. Select relevant excerpts, remove repetition, and split independent documents into separate requests. Evaluate long-context quality separately.

## Preview and quota resets

Preview has separate daily limits for each organization and the entire service; they reset at 00:00 UTC. Requests accepted for processing that later fail also consume daily quota. HTTP errors before a request is accepted do not create an inference record.

An organization shares one per-minute quota across API and Playground. For parallel processing, limit concurrent requests in your application.

## Related documentation

- [GET /v1/models](https://shvydko.ai/en/docs-markdown/api/models.md)
- [Pricing and usage accounting](https://shvydko.ai/en/docs-markdown/pricing.md)
- [Errors and retries](https://shvydko.ai/en/docs-markdown/api/errors.md)