langchain_community.llms.sambanova.SSEndpointHandler¶

class langchain_community.llms.sambanova.SSEndpointHandler(host_url: str)[source]¶

SambaNova Systems Interface for SambaStudio model endpoints.

Parameters

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

Initialize the SSEndpointHandler.

Parameters

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

Attributes

API_BASE_PATH

Methods

__init__(host_url)

Initialize the SSEndpointHandler.

nlp_predict(project, endpoint, key, input[, ...])

NLP predict using inline input string.

nlp_predict_stream(project, endpoint, key, input)

NLP predict using inline input string.

__init__(host_url: str)[source]¶

Initialize the SSEndpointHandler.

Parameters

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

nlp_predict(project: str, endpoint: str, key: str, input: Union[List[str], str], params: Optional[str] = '', 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

  • input (Union[List[str], str]) –

  • stream (bool) –

Returns

Prediction results

Return type

dict

nlp_predict_stream(project: str, endpoint: str, key: str, input: Union[List[str], str], params: Optional[str] = '') Iterator[GenerationChunk][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

  • input (Union[List[str], str]) –

Returns

Prediction results

Return type

dict