LlamaChatContentFormatter#

class langchain_community.chat_models.azureml_endpoint.LlamaChatContentFormatter[source]#

Deprecated: Kept for backwards compatibility

Chat Content formatter for Llama.

Attributes

`SUPPORTED_ROLES`
`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_messages_request_payload`(messages, ...)	Formats the request according to the chosen api
`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 response

__init__() → None[source]#

Return type:: None

static escape_special_characters(prompt: str) → str#

Escapes any special characters in prompt

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

format_messages_request_payload(messages: List[BaseMessage], model_kwargs: Dict, api_type: AzureMLEndpointApiType) → bytes#

Formats the request according to the chosen api

Parameters:

messages (List[BaseMessage]) –
model_kwargs (Dict) –
api_type (AzureMLEndpointApiType) –

Return type:

bytes

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

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

format_response_payload(output: bytes, api_type: AzureMLEndpointApiType = AzureMLEndpointApiType.dedicated) → ChatGeneration#

Formats response

Parameters:

output (bytes) –
api_type (AzureMLEndpointApiType) –

Return type:

ChatGeneration