langchain.Utils

parse_langchain_provider

def parse_langchain_provider(serialized: Dict[str, Any])

Parses langchain provider from serialized data Arguments:

Name	Description
`serialized`	Dict[str, Any]: Serialized data to parse provider from

Returns:

Name	Description
`str`	Parsed provider

parse_langchain_llm_error

def parse_langchain_llm_error(
    error: Union[Exception, BaseException,
                 KeyboardInterrupt]) -> GenerationError

Parses langchain LLM error into a format that is accepted by Maxim logger Arguments:

Name	Description
`error`	Union[Exception, KeyboardInterrupt]: Error to be parsed

Returns:

Name	Description
`[GenerationError](/sdk/python/references/logger/components/types)`	Parsed LLM error

parse_langchain_model_parameters

def parse_langchain_model_parameters(**kwargs: Any
                                     ) -> Tuple[str, Dict[str, Any]]

Parses langchain kwargs into model and model parameters. You can use this function with any langchain _start callback function Arguments:

Name	Description
`kwargs`	Dict[str, Any]: Kwargs to be parsed

Returns: Tuple[str, Dict[str, Any]]: Model and model parameters Raises:

Exception - If model_name is not found in kwargs

parse_base_message_to_maxim_generation

def parse_base_message_to_maxim_generation(message: BaseMessage)

Parses langchain BaseMessage into a format that is accepted by Maxim logger Arguments:

Name	Description
`message`	BaseMessage

Returns: Dict[str, Any]: Parsed message

parse_langchain_message

def parse_langchain_message(message: BaseMessage)

Parses langchain BaseMessage into a choice of openai message Arguments:

Name	Description
`message`	BaseMessage

Returns: Dict[str, Any]: Parsed message

parse_langchain_generation

def parse_langchain_generation(generation: Generation)

Parses langchain generation into a format that is accepted by Maxim logger Arguments:

Name	Description
`generation`	[Generation](/sdk/python/references/logger/components/generation): Generation to be parsed

Returns: Dict[str, Any]: Parsed generation

parse_token_usage_for_result

def parse_token_usage_for_result(result: LLMResult)

Parses token usage for a given LLM result

parse_langchain_chat_result

def parse_langchain_chat_result(result: ChatResult) -> Dict[str, Any]

Parses langchain Chat result into a format that is accepted by Maxim logger Arguments:

Name	Description
`result`	ChatResult: Chat result to be parsed

Returns: Dict[str, Any]: Parsed Chat result Raises:

Exception - If error parsing Chat result

parse_langchain_llm_result

def parse_langchain_llm_result(result: LLMResult) -> Dict[str, Any]

Parses langchain LLM result into a format that is accepted by Maxim logger Arguments:

Name	Description
`result`	LLMResult: LLM result to be parsed

Returns: Dict[str, Any]: Parsed LLM result Raises:

Exception - If error parsing LLM result

parse_langchain_messages

def parse_langchain_messages(input: Union[List[str], List[List[Any]]],
                             default_role="user")

Parses langchain messages into messages that are accepted by Maxim logger Arguments:

Name	Description
`input`	List[str] or List[List[Any]]: List of messages to be parsed
`default_role`	str: Default role to assign to messages without a role

Returns: List[Dict[str, str]]: List of messages with role and content Raises:

Exception - If input is not List[str] or List[List[Any]]
Exception - If message type is not str or list
Exception - If message type is not recognized

Overview

Python

Typescript

parse_langchain_provider

parse_langchain_llm_error

parse_langchain_model_parameters

parse_base_message_to_maxim_generation

parse_langchain_message

parse_langchain_generation

parse_token_usage_for_result

parse_langchain_chat_result

parse_langchain_llm_result

parse_langchain_messages

​parse_langchain_provider

​parse_langchain_llm_error

​parse_langchain_model_parameters

​parse_base_message_to_maxim_generation

​parse_langchain_message

​parse_langchain_generation

​parse_token_usage_for_result

​parse_langchain_chat_result

​parse_langchain_llm_result

​parse_langchain_messages

parse_langchain_provider

parse_langchain_llm_error

parse_langchain_model_parameters

parse_base_message_to_maxim_generation

parse_langchain_message

parse_langchain_generation

parse_token_usage_for_result

parse_langchain_chat_result

parse_langchain_llm_result

parse_langchain_messages