new param arguments_json in ToolCall

This commit is contained in:
Hardik Shah 2025-03-18 13:44:29 -07:00
parent 37f155e41d
commit 549096b264
10 changed files with 132 additions and 107 deletions

View file

@ -529,7 +529,11 @@ async def convert_message_to_openai_dict_new(
) -> Union[str, Iterable[OpenAIChatCompletionContentPartParam]]:
async def impl(
content_: InterleavedContent,
) -> Union[str, OpenAIChatCompletionContentPartParam, List[OpenAIChatCompletionContentPartParam]]:
) -> Union[
str,
OpenAIChatCompletionContentPartParam,
List[OpenAIChatCompletionContentPartParam],
]:
# Llama Stack and OpenAI spec match for str and text input
if isinstance(content_, str):
return content_
@ -570,7 +574,7 @@ async def convert_message_to_openai_dict_new(
OpenAIChatCompletionMessageToolCall(
id=tool.call_id,
function=OpenAIFunction(
name=tool.tool_name if not isinstance(tool.tool_name, BuiltinTool) else tool.tool_name.value,
name=(tool.tool_name if not isinstance(tool.tool_name, BuiltinTool) else tool.tool_name.value),
arguments=json.dumps(tool.arguments),
),
type="function",
@ -609,6 +613,7 @@ def convert_tool_call(
call_id=tool_call.id,
tool_name=tool_call.function.name,
arguments=json.loads(tool_call.function.arguments),
arguments_json=tool_call.function.arguments,
)
except Exception:
return UnparseableToolCall(
@ -759,6 +764,7 @@ def _convert_openai_tool_calls(
call_id=call.id,
tool_name=call.function.name,
arguments=json.loads(call.function.arguments),
arguments_json=call.function.arguments,
)
for call in tool_calls
]
@ -890,7 +896,8 @@ async def convert_openai_chat_completion_stream(
# ChatCompletionResponseEvent only supports one per stream
if len(choice.delta.tool_calls) > 1:
warnings.warn(
"multiple tool calls found in a single delta, using the first, ignoring the rest", stacklevel=2
"multiple tool calls found in a single delta, using the first, ignoring the rest",
stacklevel=2,
)
if not enable_incremental_tool_calls:
@ -971,6 +978,7 @@ async def convert_openai_chat_completion_stream(
call_id=buffer["call_id"],
tool_name=buffer["name"],
arguments=arguments,
arguments_json=buffer["arguments"],
)
yield ChatCompletionResponseStreamChunk(
event=ChatCompletionResponseEvent(