ContentFormatterBase#

class langchain_community.llms.azureml_endpoint.ContentFormatterBase[source]#

Transform request and response of AzureML endpoint to match with required schema.

Attributes

`accepts`	The MIME type of the response data returned from the endpoint
`content_type`	The MIME type of the input data passed to the endpoint
`format_error_msg`
`supported_api_types`	Supported APIs for the given formatter.

Methods

`__init__`()
`escape_special_characters`(prompt)	Escapes any special characters in prompt
`format_request_payload`(prompt, model_kwargs)	Formats the request body according to the input schema of the model.
`format_response_payload`(output[, api_type])	Formats the response body according to the output schema of the model.

__init__()#

static escape_special_characters(prompt: str) → str[source]#

Escapes any special characters in prompt

Parameters:: prompt (str)
Return type:: str

format_request_payload(prompt: str, model_kwargs: Dict, api_type: AzureMLEndpointApiType = AzureMLEndpointApiType.dedicated) → Any[source]#

Formats the request body according to the input schema of the model. Returns bytes or seekable file like object in the format specified in the content_type request header.

Parameters:

prompt (str)
model_kwargs (Dict)
api_type (AzureMLEndpointApiType)

Return type:

Any

abstract format_response_payload(output: bytes, api_type: AzureMLEndpointApiType = AzureMLEndpointApiType.dedicated) → Generation[source]#

Formats the response body according to the output schema of the model. Returns the data type that is received from the response.

Parameters:

output (bytes)
api_type (AzureMLEndpointApiType)

Return type:

Generation

Examples using ContentFormatterBase

Azure ML