Create a Google Vertex AI inference endpoint

The maximum size of a chunk in words. This value cannot be lower than 20 (for sentence strategy) or 10 (for word strategy). This value should not exceed the window size for the associated model.

The number of overlapping words for chunks. It is applicable only to a word chunking strategy. This value cannot be higher than half the max_chunk_size value.

The number of overlapping sentences for chunks. It is applicable only for a sentence chunking strategy. It can be either 1 or 0.

Only applicable to the recursive strategy and required when using it.

Sets a predefined list of separators in the saved chunking settings based on the selected text type. Values can be markdown or plaintext.

Using this parameter is an alternative to manually specifying a custom separators list.

Only applicable to the recursive strategy and required when using it.

A list of strings used as possible split points when chunking text.

Each string can be a plain string or a regular expression (regex) pattern. The system tries each separator in order to split the text, starting from the first item in the list.

After splitting, it attempts to recombine smaller pieces into larger chunks that stay within the max_chunk_size limit, to reduce the total number of chunks generated.

The name of the Google Model Garden Provider for completion and chat_completion tasks. In order for a Google Model Garden endpoint to be used provider must be defined and be other than google. Modes:

• Google Model Garden (third-party models): set provider to a supported non-google value and provide url and/or streaming_url.
• Google Vertex AI: omit provider or set it to google. In this mode, do not set url or streaming_url and Elastic will construct the endpoint url from location, model_id, and project_id parameters.

The URL for non-streaming completion requests to a Google Model Garden provider endpoint. If both url and streaming_url are provided, each is used for its respective mode. If streaming_url is not provided, url is also used for streaming completion and chat_completion. If provider is not provided or set to google (Google Vertex AI), do not set url (or streaming_url). At least one of url or streaming_url must be provided for Google Model Garden endpoint usage. Certain providers require separate URLs for streaming and non-streaming operations (e.g., Anthropic, Mistral, AI21). Others support both operation types through a single URL (e.g., Meta, Hugging Face). Information on constructing the URL for various providers can be found in the Google Model Garden documentation for the model, or on the endpoint’s Sample request page. The request examples also illustrate the proper formatting for the url.

The URL for streaming completion and chat_completion requests to a Google Model Garden provider endpoint. If both streaming_url and url are provided, each is used for its respective mode. If url is not provided, streaming_url is also used for non-streaming completion requests. If provider is not provided or set to google (Google Vertex AI), do not set streaming_url (or url). At least one of streaming_url or url must be provided for Google Model Garden endpoint usage. Certain providers require separate URLs for streaming and non-streaming operations (e.g., Anthropic, Mistral, AI21). Others support both operation types through a single URL (e.g., Meta, Hugging Face). Information on constructing the URL for various providers can be found in the Google Model Garden documentation for the model, or on the endpoint’s Sample request page. The request examples also illustrate the proper formatting for the streaming_url.

The name of the location to use for the inference task for the Google Vertex AI inference task. For Google Vertex AI, when provider is omitted or google, location is optional. When location is omitted, the request targets the Google Vertex AI global endpoint (https://aiplatform.googleapis.com); when it is provided, the corresponding regional endpoint (https://<location>-aiplatform.googleapis.com) is used. The field must be omitted to select the global endpoint; an empty string is not a valid location. For Google Model Garden's completion and chat_completion tasks, when provider is a supported non-google value - location is ignored. Refer to the Google documentation for the list of supported locations.

The name of the model to use for the inference task. For Google Vertex AI model_id is mandatory. For Google Model Garden's completion and chat_completion tasks, when provider is a supported non-google value - model_id will be used for some providers that require it, otherwise - ignored. Refer to the Google documentation for the list of supported models for Google Vertex AI.

The name of the project to use for the Google Vertex AI inference task. For Google Vertex AI project_id is mandatory. For Google Model Garden's completion and chat_completion tasks, when provider is a supported non-google value - project_id is ignored.

A valid service account in JSON format for the Google Vertex AI API.

For a text_embedding task, the number of dimensions the resulting output embeddings should have. By default, the model's standard output dimension is used. Refer to the Google documentation for more information.