---
title: "Get Configs"
method: GET
path: "/api/configs/{config_ext_id}"
tags: ["configs"]
---

# Get Configs

`GET /api/configs/{config_ext_id}`

Read configurations from database to be displayed in the UI

## Path parameters

- `config_ext_id` string, required — Config name: 'cfg-XXXXXXXX' or 'default' for system default

## Response `200`

Successful Response

- union
  - AllConfigs
    - `QueryLLM` QueryLLMConfig
      - `MODEL_NAME` string — The name of the model to be used.
      - `API_TYPE` 'local' | 'remote' — The inference type (local or remote).
      - `SYSTEM_INSTRUCTION` string — The system instruction string.
      - `MAX_CHAR_SIZE_TO_ANSWER` integer — Maximum character size to answer.
      - `TEMPERATURE` number — Temperature value for randomness.
      - `MAX_TOKENS` integer — Maximum number of tokens allowed.
    - `TitleLLM` TitleLLMConfig
      - `MODEL_NAME` string — The name of the model to be used.
      - `API_TYPE` 'local' | 'remote' — The inference type (local or remote).
      - `SYSTEM_INSTRUCTION` string
      - `MAX_CHAR_SIZE_TO_ANSWER` integer — Maximum character size to answer.
      - `TEMPERATURE` number — Temperature value for randomness.
      - `MAX_TOKENS` integer — Maximum number of tokens allowed.
    - `DocumentDateExtractorLLM` DocumentDateExtractorLLMConfig
      - `MODEL_NAME` string — The name of the model to be used.
      - `API_TYPE` 'local' | 'remote' — The inference type (local or remote).
      - `SYSTEM_INSTRUCTION` string
      - `MAX_CHAR_SIZE_TO_ANSWER` integer — Maximum character size to answer.
      - `TEMPERATURE` number — Temperature value for randomness.
      - `MAX_TOKENS` integer — Maximum number of tokens allowed.
    - `ModelCitation` ModelCitationConfig
      - `SIM_THREASHOLD` number — How similar does the statement needs to be to be considered as citation.
      - `MIN_CHAR_SIZE_TO_ANSWER` integer — Minimum character length to be considered as a statement for citation.
      - `MAX_NUMB_CITATIONS` integer — Maximum number of citations to return per statement.
      - `SIM_MODEL_NAME` string — Name of the model to be used.
    - `Retriever` RetrieverConfig
      - `MIN_RETRIEVAL_SIM_SCORE` number — Minimum similarity score for retrieval of a chunk.
      - `MAX_DISTINCT_DOCUMENTS` integer — Maximum number of distinct documents to search for.
      - `MAX_TOTAL_CHUNKS_TO_RETRIEVE` integer — Maximum total number of chunks to retrieve for all documents retrieved.
      - `GROUP_SIZE` integer — Maximum number of chunks per document for retrieval.
    - `Reranker` RerankerConfig
      - `MAX_NUMB_OF_CHUNKS` integer — Maximum number of chunks to return after reranking.
      - `MODEL_NAME` string — Name of the reranking model to use.
      - `API_TYPE` 'local' | 'remote' — The inference type (local or remote).
    - `Parser` ParserConfig
    - `Chunker` ChunkerConfig
    - `Embedder` EmbedderConfig
      - `MODEL_NAME` string — The name of the embedder model.
      - `API_TYPE` 'local' | 'remote' — The inference type (local or remote).
  - NonDeveloperConfig — Limited configuration response for non-developer users
    - `QueryLLM` object, required

## Other responses

- `422` — Validation Error

---

[API](https://skmtc.dev/arbicity/apis/arbi.md) · [All operations](https://skmtc.dev/arbicity/apis/arbi/llms.txt) · [OpenAPI document](https://skmtc.dev/arbicity/apis/arbi/revisions/84efd317dcde?raw)