[Bump] Litellm responses format

litellm/llms/openai/responses/transformation.py

@@ -11,6 +11,7 @@
 from litellm.types.router import GenericLiteLLMParams
 
 from ..common_utils import OpenAIError
+from litellm.litellm_core_utils.llm_response_utils.convert_dict_to_response import _safe_convert_created_field
 
 if TYPE_CHECKING:
     from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj
@@ -85,6 +86,7 @@ def transform_response_api_response(
         """No transform applied since outputs are in OpenAI spec already"""
         try:
             raw_response_json = raw_response.json()
+            raw_response_json["created_at"] = _safe_convert_created_field(raw_response_json["created_at"])
         except Exception:
             raise OpenAIError(
                 message=raw_response.text, status_code=raw_response.status_code

litellm/types/llms/openai.py

@@ -1010,7 +1010,7 @@ class ResponseAPIUsage(BaseLiteLLMOpenAIResponseObject):
 
 class ResponsesAPIResponse(BaseLiteLLMOpenAIResponseObject):
     id: str
-    created_at: float
+    created_at: int
     error: Optional[dict]
     incomplete_details: Optional[IncompleteDetails]
     instructions: Optional[str]
@@ -1034,6 +1034,7 @@ class ResponsesAPIResponse(BaseLiteLLMOpenAIResponseObject):
     truncation: Optional[Literal["auto", "disabled"]]
     usage: Optional[ResponseAPIUsage]
     user: Optional[str]
+    store: Optional[bool] = None
     # Define private attributes using PrivateAttr
     _hidden_params: dict = PrivateAttr(default_factory=dict)
 

tests/llm_responses_api_testing/base_responses_api.py

@@ -1,4 +1,3 @@
-
 import httpx
 import json
 import pytest
@@ -51,8 +50,8 @@ def validate_responses_api_response(response, final_chunk: bool = False):
         response["id"], str
     ), "Response should have a string 'id' field"
     assert "created_at" in response and isinstance(
-        response["created_at"], (int, float)
-    ), "Response should have a numeric 'created_at' field"
+        response["created_at"], int
+    ), "Response should have an integer 'created_at' field"
     assert "output" in response and isinstance(
         response["output"], list
     ), "Response should have a list 'output' field"
@@ -80,6 +79,7 @@ def validate_responses_api_response(response, final_chunk: bool = False):
         "truncation": (str, type(None)),
         "usage": ResponseAPIUsage,
         "user": (str, type(None)),
+        "store": (bool, type(None)),
     }
     if final_chunk is False:
         optional_fields["usage"] = type(None)

tests/llm_responses_api_testing/test_openai_responses_api.py

@@ -4,6 +4,11 @@
 import asyncio
 from typing import Optional, cast
 from unittest.mock import patch, AsyncMock
+import httpx
+from litellm.llms.openai.responses.transformation import OpenAIResponsesAPIConfig
+from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
+import time
+import json
 
 sys.path.insert(0, os.path.abspath("../.."))
 import litellm
@@ -1152,3 +1157,140 @@ def test_mcp_tools_with_responses_api():
     print(response_with_mcp_call)
 
 
+@pytest.mark.asyncio
+async def test_openai_responses_api_field_types():
+    """Test that specific fields in the response have the correct types"""
+    litellm._turn_on_debug()
+    litellm.set_verbose = True
+
+    # Test with store=True
+    response = await litellm.aresponses(
+        model="gpt-4o",
+        input="hi",
+    )
+
+    # Verify created_at is an integer
+    assert isinstance(response.created_at, int), "created_at should be an integer"
+
+    # Verify store field is present and matches input
+    assert hasattr(response, "store"), "store field should be present"
+    assert response.store is True, "store field should match input value"
+
+    # Test without store parameter
+    response_without_store = await litellm.aresponses(
+        model="gpt-4o",
+        input="hi"
+    )
+
+    # Verify created_at is still an integer
+    assert isinstance(response_without_store.created_at, int), "created_at should be an integer"
+
+    # Verify store field is present but None when not specified
+    assert hasattr(response_without_store, "store"), "store field should be present"
+
+
+@pytest.mark.asyncio
+async def test_store_field_transformation():
+    """Test store field transformation with mocked API responses"""
+    config = OpenAIResponsesAPIConfig()
+
+    # Initialize logging object with required parameters
+    logging_obj = LiteLLMLoggingObj(
+        model="gpt-4o",
+        messages=[],
+        stream=False,
+        call_type="aresponses",
+        start_time=time.time(),
+        litellm_call_id="test-call-id",
+        function_id="test-function-id"
+    )
+
+    # Base response data with all required fields
+    base_response = {
+        "id": "test_id",
+        "created_at": 1751443898,
+        "model": "gpt-4o",
+        "object": "response",
+        "output": [{"type": "message", "id": "msg_1", "status": "completed", "role": "assistant", "content": [{"type": "output_text", "text": "Hello", "annotations": []}]}],
+        "parallel_tool_calls": True,
+        "tool_choice": "auto",
+        "tools": [],
+        "error": None,
+        "incomplete_details": None,
+        "instructions": "test instructions",
+        "metadata": {},
+        "temperature": 0.7,
+        "top_p": 1.0,
+        "max_output_tokens": 100,
+        "previous_response_id": None,
+        "reasoning": None,
+        "status": "completed",
+        "text": None,
+        "truncation": "auto",
+        "usage": {"input_tokens": 10, "output_tokens": 20, "total_tokens": 30},
+        "user": "test_user"
+    }
+
+    # Test case 1: API returns store=True
+    mock_response_store_true = httpx.Response(
+        status_code=200,
+        content=json.dumps({**base_response, "store": True}).encode()
+    )
+
+    # Test case 2: API returns store=False
+    mock_response_store_false = httpx.Response(
+        status_code=200,
+        content=json.dumps({**base_response, "store": False}).encode()
+    )
+
+    # Test case 3: API returns store=null
+    mock_response_store_null = httpx.Response(
+        status_code=200,
+        content=json.dumps({**base_response, "store": None}).encode()
+    )
+
+    # Test case 4: API omits store field
+    mock_response_no_store = httpx.Response(
+        status_code=200,
+        content=json.dumps(base_response).encode()
+    )
+
+    # Test when store=True in request
+    logging_obj.optional_params = {"store": True}
+    response = config.transform_response_api_response(
+        model="gpt-4o",
+        raw_response=mock_response_store_true,
+        logging_obj=logging_obj
+    )
+    assert response.store is True, "store should be True when specified in request and API returns True"
+
+    # Test when store=False in request
+    logging_obj.optional_params = {"store": False}
+    response = config.transform_response_api_response(
+        model="gpt-4o",
+        raw_response=mock_response_store_false,
+        logging_obj=logging_obj
+    )
+    assert response.store is False, "store should be False when specified in request and API returns False"
+
+    # Test when store not in request but API returns null
+    response = config.transform_response_api_response(
+        model="gpt-4o",
+        raw_response=mock_response_store_null,
+        logging_obj=logging_obj
+    )
+    assert response.store is None, "store should be None when not specified in request and API returns null"
+
+    # Test when store not in request and API omits store field
+    response = config.transform_response_api_response(
+        model="gpt-4o",
+        raw_response=mock_response_no_store,
+        logging_obj=logging_obj
+    )
+    assert response.store is None, "store should be None when not specified in request and API omits store"
+
+    # Verify created_at is always converted to integer
+    assert isinstance(response.created_at, int), "created_at should always be converted to integer"
+    assert response.created_at == 1751443898, "created_at should maintain the same value after conversion"
+
+