langgraph_agent_toolkit.helper.utils.check_str_is_http(x)

Parameters:

x (str)

Return type:

str

langgraph_agent_toolkit.helper.utils.convert_message_content_to_string(content)

Parameters:

content (str | list[str | dict])

Return type:

str

langgraph_agent_toolkit.helper.utils.langchain_to_chat_message(message)

Create a ChatMessage from a LangChain message.

Parameters:

message (BaseMessage | dict | BaseModel | list)

Return type:

ChatMessage

langgraph_agent_toolkit.helper.utils.remove_tool_calls(content)

Remove tool calls from content.

Parameters:

content (str | list[str | dict])

Return type:

str | list[str | dict]

langgraph_agent_toolkit.helper.utils.sanitize_chat_history(messages)

Sanitize chat history by removing AIMessages with tool_calls that don’t have corresponding ToolMessages.

This is useful when: - A previous execution was interrupted before tool responses were added - Chat history was corrupted - Connection was lost during tool execution

Parameters:

messages (list[BaseMessage]) – List of messages to sanitize

Returns:

Sanitized list of messages where all AIMessages with tool_calls have corresponding ToolMessages

Return type:

list[BaseMessage]

langgraph_agent_toolkit.helper.utils.create_ai_message(parts)

Parameters:

parts (dict)

Return type:

AIMessage

langgraph_agent_toolkit.helper.utils.read_file(file_path, mode='r', encoding='utf-8', **kwargs)

Read the content of a file and return it as a string.

Parameters:

• file_path (Path | str) – The path to the file to read.

• mode (str) – The mode in which to open the file. Default is “r”.

• encoding (str) – The encoding to use for reading the file. Default is “utf-8”.

• **kwargs – Additional arguments to pass to the open function.

Returns:

The content of the file as a string.

Return type:

Any