---
title: "Standalone query rewriter"
method: POST
path: "/ai/prediction/standalone-query-rewriter/{MODEL_ID}"
tags: ["Get predictions"]
---

# Standalone query rewriter

`POST /ai/prediction/standalone-query-rewriter/{MODEL_ID}`

The standalone query rewriter use case rewrites the text in reference to the context based on the memoryUuid.

## Headers

- `Authorization` string, required
- `Content-Type` string

## Request body

- StandaloneQueryRewriterRequest
  - `batch` object[] — The batch of key:value pairs used as inputs in the prediction. Up to 32 inputs per request are allowed.
    - `text` string — The content the model analyzes.
  - `useCaseConfig` UseCaseConfigStandalone
    - `memoryUuid` string — The universal unique identifier (UUID) stored in the trained set of data in the model that is used in the model request. This parameter is optional, and is used when previous chat history reference information is available.
  - `modelConfig` ModelConfig — Provides fields and values that specify ranges for tokens.
    - `vectorQuantizationMethod` string — Vector quantization compresses data size, as well as reducing memory usage. The methods are: * `min-max` - Creates tensors of the text and converts it to uint8 by normalizing it to the range [0, 255]. * `max-scale` - Finds the maximum absolute value for the encoded text, normalizes it by scaling the text to a range of -127 to 127, and then returns the quantized text as an 8-bit integer tensor.
    - `dimReductionSize` integer — Used to reduce vector size while maintaining good quality. This field allows any integer above 0, but less than or equal to the vector dimension of the model. If you send a vector dimension larger than the model, a 400 Bad Request error is returned. Not every model is designed to support this parameter. In this scenario, a warning message is generated that indicates quality can decrease.

## Response `200`

OK

- StandaloneResponse
  - `predictions` StandaloneResponseTokens[]
    - `response` string — The results returned from the request.
    - `tokensUsed` Token
      - `promptTokens` integer — The number of tokens generated to prompt the model to continue generating results.
      - `completionTokens` integer — The number of tokens used until the model completes.
      - `totalTokens` integer — The sum of the prompt and completion tokens used in the model.

---

[API](https://skmtc.dev/lucidworks/apis/rules-rewrites-api.md) · [All operations](https://skmtc.dev/lucidworks/apis/rules-rewrites-api/llms.txt) · [OpenAPI document](https://skmtc-service-production.skmtc.workers.dev/v1/apis/lucidworks/rules-rewrites-api/revisions/f2d3747848e8/schema)