Implementation:Openai Openai python Response Function Call Args Delta
| Knowledge Sources | |
|---|---|
| Domains | API_Types, Responses_API |
| Last Updated | 2026-02-15 00:00 GMT |
Overview
Concrete streaming event type emitted when there is a partial function-call arguments delta, provided by the openai-python SDK.
Description
ResponseFunctionCallArgumentsDeltaEvent is a Pydantic model representing a streaming event emitted when the model produces a partial update (delta) to the arguments of a function call. It contains a delta string with the incremental arguments data, an item_id identifying the output item, an output_index indicating the position of the output item, a sequence_number for event ordering, and a fixed type of "response.function_call_arguments.delta". This type is auto-generated from the OpenAI OpenAPI specification by Stainless.
Usage
Import ResponseFunctionCallArgumentsDeltaEvent when processing streaming events and you need to incrementally assemble function call arguments as they stream in from the model.
Code Reference
Source Location
- Repository: openai-python
- File: src/openai/types/responses/response_function_call_arguments_delta_event.py
Signature
class ResponseFunctionCallArgumentsDeltaEvent(BaseModel):
"""Emitted when there is a partial function-call arguments delta."""
delta: str
item_id: str
output_index: int
sequence_number: int
type: Literal["response.function_call_arguments.delta"]
Import
from openai.types.responses import ResponseFunctionCallArgumentsDeltaEvent
I/O Contract
Fields
| Name | Type | Required | Description |
|---|---|---|---|
| delta | str |
Yes | The function-call arguments delta that is added. |
| item_id | str |
Yes | The ID of the output item that the delta is added to. |
| output_index | int |
Yes | The index of the output item that the delta is added to. |
| sequence_number | int |
Yes | The sequence number of this event. |
| type | Literal["response.function_call_arguments.delta"] |
Yes | The type of the event. Always "response.function_call_arguments.delta".
|
Usage Examples
from openai.types.responses import ResponseFunctionCallArgumentsDeltaEvent
# Accumulate function call arguments from streaming deltas
args_buffer = ""
for event in stream:
if isinstance(event, ResponseFunctionCallArgumentsDeltaEvent):
args_buffer += event.delta
print(f"Arguments so far: {args_buffer}")
# Parse the complete arguments JSON
import json
arguments = json.loads(args_buffer)