w.custom_llms: Custom LLMs Service

class databricks.sdk.service.aibuilder.CustomLlmsAPI

The Custom LLMs service manages state and powers the UI for the Custom LLM product.

cancel(id: str)

Cancel a Custom LLM Optimization Run.

Parameters:

id – str

create(id: str) → CustomLlm

Start a Custom LLM Optimization Run.

Parameters:

id – str The Id of the tile.

Returns:

CustomLlm

get(id: str) → CustomLlm

Get a Custom LLM.

Parameters:

id – str The id of the custom llm

Returns:

CustomLlm

update(id: str, custom_llm: CustomLlm, update_mask: str) → CustomLlm

Update a Custom LLM.

Parameters:

• id – str The id of the custom llm

• custom_llm – CustomLlm The CustomLlm containing the fields which should be updated.

• update_mask –

  str The list of the CustomLlm fields to update. These should correspond to the values (or lack thereof) present in custom_llm.

  The field mask must be a single string, with multiple fields separated by commas (no spaces). The field path is relative to the resource object, using a dot (.) to navigate sub-fields (e.g., author.given_name). Specification of elements in sequence or map fields is not allowed, as only the entire collection field can be specified. Field names must exactly match the resource field names.

  A field mask of * indicates full replacement. It’s recommended to always explicitly list the fields being updated and avoid using * wildcards, as it can lead to unintended results if the API changes in the future.

Returns:

CustomLlm