openhands.llm.fn_call_converter

Convert function calling messages to non-function calling messages and vice versa.

This will inject prompts so that models that doesn't support function calling can still be used with function calling agents.

We follow format from: https://docs.litellm.ai/docs/completion/function_call

convert_tool_call_to_string

def convert_tool_call_to_string(tool_call: dict) -> str

Convert tool call to content in string format.

convert_fncall_messages_to_non_fncall_messages

def convert_fncall_messages_to_non_fncall_messages(
        messages: list[dict],
        tools: list[ChatCompletionToolParam],
        add_in_context_learning_example: bool = True) -> list[dict]

Convert function calling messages to non-function calling messages.

convert_non_fncall_messages_to_fncall_messages

def convert_non_fncall_messages_to_fncall_messages(
        messages: list[dict],
        tools: list[ChatCompletionToolParam]) -> list[dict]

Convert non-function calling messages back to function calling messages.

convert_from_multiple_tool_calls_to_single_tool_call_messages

def convert_from_multiple_tool_calls_to_single_tool_call_messages(
        messages: list[dict],
        ignore_final_tool_result: bool = False) -> list[dict]

Break one message with multiple tool calls into multiple messages.