SVEndpointHandler#

class langchain_community.llms.sambanova.SVEndpointHandler(host_url: str)[source]#

SambaNova Systems Interface for Sambaverse endpoint.

Parameters:: host_url (str) – Base URL of the DaaS API service

Initialize the SVEndpointHandler.

Parameters:: host_url (str) – Base URL of the DaaS API service

Attributes

API_BASE_PATH

Methods

`__init__`(host_url)	Initialize the SVEndpointHandler.
`nlp_predict`(key, sambaverse_model_name, input)	NLP predict using inline input string.
`nlp_predict_stream`(key, ...[, params])	NLP predict using inline input string.

__init__(host_url: str)[source]#

Initialize the SVEndpointHandler.

Parameters:: host_url (str) – Base URL of the DaaS API service

nlp_predict(key: str, sambaverse_model_name: str | None, input: List[str] | str, params: str | None = '', stream: bool = False) → Dict[source]#

NLP predict using inline input string.

Parameters:

project (str) – Project ID in which the endpoint exists
endpoint (str) – Endpoint ID
key (str) – API Key
input_str (str) – Input string
params (str) – Input params string
sambaverse_model_name (str | None)
input (List[str] | str)
stream (bool)

Returns:

Prediction results

Type:

dict

Return type:

Dict

nlp_predict_stream(key: str, sambaverse_model_name: str | None, input: List[str] | str, params: str | None = '') → Iterator[Dict][source]#