Commit 4ebfd515

@@ -51,7 +51,6 @@ from .....types.shared_params.metadata import Metadata
 from .....types.shared.reasoning_effort import ReasoningEffort
 from .....types.beta.assistant_tool_param import AssistantToolParam
 from .....types.beta.assistant_stream_event import AssistantStreamEvent
-from .....types.beta.truncation_object_param import TruncationObjectParam
 from .....types.beta.threads.runs.run_step_include import RunStepInclude
 from .....types.beta.assistant_tool_choice_option_param import AssistantToolChoiceOptionParam
 from .....types.beta.assistant_response_format_option_param import AssistantResponseFormatOptionParam
@@ -105,7 +104,7 @@ class Runs(SyncAPIResource):
         tool_choice: Optional[AssistantToolChoiceOptionParam] | NotGiven = NOT_GIVEN,
         tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
-        truncation_strategy: Optional[TruncationObjectParam] | NotGiven = NOT_GIVEN,
+        truncation_strategy: Optional[run_create_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -255,7 +254,7 @@ class Runs(SyncAPIResource):
         tool_choice: Optional[AssistantToolChoiceOptionParam] | NotGiven = NOT_GIVEN,
         tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
-        truncation_strategy: Optional[TruncationObjectParam] | NotGiven = NOT_GIVEN,
+        truncation_strategy: Optional[run_create_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -405,7 +404,7 @@ class Runs(SyncAPIResource):
         tool_choice: Optional[AssistantToolChoiceOptionParam] | NotGiven = NOT_GIVEN,
         tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
-        truncation_strategy: Optional[TruncationObjectParam] | NotGiven = NOT_GIVEN,
+        truncation_strategy: Optional[run_create_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -555,7 +554,7 @@ class Runs(SyncAPIResource):
         tool_choice: Optional[AssistantToolChoiceOptionParam] | NotGiven = NOT_GIVEN,
         tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
-        truncation_strategy: Optional[TruncationObjectParam] | NotGiven = NOT_GIVEN,
+        truncation_strategy: Optional[run_create_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -1516,7 +1515,7 @@ class AsyncRuns(AsyncAPIResource):
         tool_choice: Optional[AssistantToolChoiceOptionParam] | NotGiven = NOT_GIVEN,
         tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
-        truncation_strategy: Optional[TruncationObjectParam] | NotGiven = NOT_GIVEN,
+        truncation_strategy: Optional[run_create_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -1666,7 +1665,7 @@ class AsyncRuns(AsyncAPIResource):
         tool_choice: Optional[AssistantToolChoiceOptionParam] | NotGiven = NOT_GIVEN,
         tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
-        truncation_strategy: Optional[TruncationObjectParam] | NotGiven = NOT_GIVEN,
+        truncation_strategy: Optional[run_create_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -1816,7 +1815,7 @@ class AsyncRuns(AsyncAPIResource):
         tool_choice: Optional[AssistantToolChoiceOptionParam] | NotGiven = NOT_GIVEN,
         tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
-        truncation_strategy: Optional[TruncationObjectParam] | NotGiven = NOT_GIVEN,
+        truncation_strategy: Optional[run_create_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -1966,7 +1965,7 @@ class AsyncRuns(AsyncAPIResource):
         tool_choice: Optional[AssistantToolChoiceOptionParam] | NotGiven = NOT_GIVEN,
         tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
-        truncation_strategy: Optional[TruncationObjectParam] | NotGiven = NOT_GIVEN,
+        truncation_strategy: Optional[run_create_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,

@@ -52,7 +52,6 @@ from ....types.beta.thread_deleted import ThreadDeleted
 from ....types.shared_params.metadata import Metadata
 from ....types.beta.assistant_tool_param import AssistantToolParam
 from ....types.beta.assistant_stream_event import AssistantStreamEvent
-from ....types.beta.truncation_object_param import TruncationObjectParam
 from ....types.beta.assistant_tool_choice_option_param import AssistantToolChoiceOptionParam
 from ....types.beta.assistant_response_format_option_param import AssistantResponseFormatOptionParam
 
@@ -286,7 +285,7 @@ class Threads(SyncAPIResource):
         tool_resources: Optional[thread_create_and_run_params.ToolResources] | NotGiven = NOT_GIVEN,
         tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
-        truncation_strategy: Optional[TruncationObjectParam] | NotGiven = NOT_GIVEN,
+        truncation_strategy: Optional[thread_create_and_run_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -419,7 +418,7 @@ class Threads(SyncAPIResource):
         tool_resources: Optional[thread_create_and_run_params.ToolResources] | NotGiven = NOT_GIVEN,
         tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
-        truncation_strategy: Optional[TruncationObjectParam] | NotGiven = NOT_GIVEN,
+        truncation_strategy: Optional[thread_create_and_run_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -552,7 +551,7 @@ class Threads(SyncAPIResource):
         tool_resources: Optional[thread_create_and_run_params.ToolResources] | NotGiven = NOT_GIVEN,
         tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
-        truncation_strategy: Optional[TruncationObjectParam] | NotGiven = NOT_GIVEN,
+        truncation_strategy: Optional[thread_create_and_run_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -685,7 +684,7 @@ class Threads(SyncAPIResource):
         tool_resources: Optional[thread_create_and_run_params.ToolResources] | NotGiven = NOT_GIVEN,
         tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
-        truncation_strategy: Optional[TruncationObjectParam] | NotGiven = NOT_GIVEN,
+        truncation_strategy: Optional[thread_create_and_run_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -1135,7 +1134,7 @@ class AsyncThreads(AsyncAPIResource):
         tool_resources: Optional[thread_create_and_run_params.ToolResources] | NotGiven = NOT_GIVEN,
         tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
-        truncation_strategy: Optional[TruncationObjectParam] | NotGiven = NOT_GIVEN,
+        truncation_strategy: Optional[thread_create_and_run_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -1268,7 +1267,7 @@ class AsyncThreads(AsyncAPIResource):
         tool_resources: Optional[thread_create_and_run_params.ToolResources] | NotGiven = NOT_GIVEN,
         tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
-        truncation_strategy: Optional[TruncationObjectParam] | NotGiven = NOT_GIVEN,
+        truncation_strategy: Optional[thread_create_and_run_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -1401,7 +1400,7 @@ class AsyncThreads(AsyncAPIResource):
         tool_resources: Optional[thread_create_and_run_params.ToolResources] | NotGiven = NOT_GIVEN,
         tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
-        truncation_strategy: Optional[TruncationObjectParam] | NotGiven = NOT_GIVEN,
+        truncation_strategy: Optional[thread_create_and_run_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,
@@ -1534,7 +1533,7 @@ class AsyncThreads(AsyncAPIResource):
         tool_resources: Optional[thread_create_and_run_params.ToolResources] | NotGiven = NOT_GIVEN,
         tools: Optional[Iterable[AssistantToolParam]] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
-        truncation_strategy: Optional[TruncationObjectParam] | NotGiven = NOT_GIVEN,
+        truncation_strategy: Optional[thread_create_and_run_params.TruncationStrategy] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
         # The extra values given here take precedence over values defined on the client or passed to this method.
         extra_headers: Headers | None = None,

@@ -43,7 +43,6 @@ from ...types.vector_store_deleted import VectorStoreDeleted
 from ...types.shared_params.metadata import Metadata
 from ...types.file_chunking_strategy_param import FileChunkingStrategyParam
 from ...types.vector_store_search_response import VectorStoreSearchResponse
-from ...types.vector_store_expiration_after_param import VectorStoreExpirationAfterParam
 
 __all__ = ["VectorStores", "AsyncVectorStores"]
 
@@ -80,7 +79,7 @@ class VectorStores(SyncAPIResource):
         self,
         *,
         chunking_strategy: FileChunkingStrategyParam | NotGiven = NOT_GIVEN,
-        expires_after: VectorStoreExpirationAfterParam | NotGiven = NOT_GIVEN,
+        expires_after: vector_store_create_params.ExpiresAfter | NotGiven = NOT_GIVEN,
         file_ids: List[str] | NotGiven = NOT_GIVEN,
         metadata: Optional[Metadata] | NotGiven = NOT_GIVEN,
         name: str | NotGiven = NOT_GIVEN,
@@ -178,7 +177,7 @@ class VectorStores(SyncAPIResource):
         self,
         vector_store_id: str,
         *,
-        expires_after: Optional[VectorStoreExpirationAfterParam] | NotGiven = NOT_GIVEN,
+        expires_after: Optional[vector_store_update_params.ExpiresAfter] | NotGiven = NOT_GIVEN,
         metadata: Optional[Metadata] | NotGiven = NOT_GIVEN,
         name: Optional[str] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.
@@ -425,7 +424,7 @@ class AsyncVectorStores(AsyncAPIResource):
         self,
         *,
         chunking_strategy: FileChunkingStrategyParam | NotGiven = NOT_GIVEN,
-        expires_after: VectorStoreExpirationAfterParam | NotGiven = NOT_GIVEN,
+        expires_after: vector_store_create_params.ExpiresAfter | NotGiven = NOT_GIVEN,
         file_ids: List[str] | NotGiven = NOT_GIVEN,
         metadata: Optional[Metadata] | NotGiven = NOT_GIVEN,
         name: str | NotGiven = NOT_GIVEN,
@@ -523,7 +522,7 @@ class AsyncVectorStores(AsyncAPIResource):
         self,
         vector_store_id: str,
         *,
-        expires_after: Optional[VectorStoreExpirationAfterParam] | NotGiven = NOT_GIVEN,
+        expires_after: Optional[vector_store_update_params.ExpiresAfter] | NotGiven = NOT_GIVEN,
         metadata: Optional[Metadata] | NotGiven = NOT_GIVEN,
         name: Optional[str] | NotGiven = NOT_GIVEN,
         # Use the following arguments if you need to pass additional parameters to the API that aren't available via kwargs.

@@ -7,12 +7,19 @@ from ...._models import BaseModel
 from .run_status import RunStatus
 from ..assistant_tool import AssistantTool
 from ...shared.metadata import Metadata
-from ..truncation_object import TruncationObject
 from ..assistant_tool_choice_option import AssistantToolChoiceOption
 from ..assistant_response_format_option import AssistantResponseFormatOption
 from .required_action_function_tool_call import RequiredActionFunctionToolCall
 
-__all__ = ["Run", "IncompleteDetails", "LastError", "RequiredAction", "RequiredActionSubmitToolOutputs", "Usage"]
+__all__ = [
+    "Run",
+    "IncompleteDetails",
+    "LastError",
+    "RequiredAction",
+    "RequiredActionSubmitToolOutputs",
+    "TruncationStrategy",
+    "Usage",
+]
 
 
 class IncompleteDetails(BaseModel):
@@ -45,6 +52,23 @@ class RequiredAction(BaseModel):
     """For now, this is always `submit_tool_outputs`."""
 
 
+class TruncationStrategy(BaseModel):
+    type: Literal["auto", "last_messages"]
+    """The truncation strategy to use for the thread.
+
+    The default is `auto`. If set to `last_messages`, the thread will be truncated
+    to the n most recent messages in the thread. When set to `auto`, messages in the
+    middle of the thread will be dropped to fit the context length of the model,
+    `max_prompt_tokens`.
+    """
+
+    last_messages: Optional[int] = None
+    """
+    The number of most recent messages from the thread when constructing the context
+    for the run.
+    """
+
+
 class Usage(BaseModel):
     completion_tokens: int
     """Number of completion tokens used over the course of the run."""
@@ -201,7 +225,7 @@ class Run(BaseModel):
     this run.
     """
 
-    truncation_strategy: Optional[TruncationObject] = None
+    truncation_strategy: Optional[TruncationStrategy] = None
     """Controls for how a thread will be truncated prior to the run.
 
     Use this to control the intial context window of the run.

@@ -9,7 +9,6 @@ from ...shared.chat_model import ChatModel
 from ..assistant_tool_param import AssistantToolParam
 from .runs.run_step_include import RunStepInclude
 from ...shared_params.metadata import Metadata
-from ..truncation_object_param import TruncationObjectParam
 from ...shared.reasoning_effort import ReasoningEffort
 from .message_content_part_param import MessageContentPartParam
 from ..code_interpreter_tool_param import CodeInterpreterToolParam
@@ -22,6 +21,7 @@ __all__ = [
     "AdditionalMessageAttachment",
     "AdditionalMessageAttachmentTool",
     "AdditionalMessageAttachmentToolFileSearch",
+    "TruncationStrategy",
     "RunCreateParamsNonStreaming",
     "RunCreateParamsStreaming",
 ]
@@ -173,7 +173,7 @@ class RunCreateParamsBase(TypedDict, total=False):
     We generally recommend altering this or temperature but not both.
     """
 
-    truncation_strategy: Optional[TruncationObjectParam]
+    truncation_strategy: Optional[TruncationStrategy]
     """Controls for how a thread will be truncated prior to the run.
 
     Use this to control the intial context window of the run.
@@ -223,6 +223,23 @@ class AdditionalMessage(TypedDict, total=False):
     """
 
 
+class TruncationStrategy(TypedDict, total=False):
+    type: Required[Literal["auto", "last_messages"]]
+    """The truncation strategy to use for the thread.
+
+    The default is `auto`. If set to `last_messages`, the thread will be truncated
+    to the n most recent messages in the thread. When set to `auto`, messages in the
+    middle of the thread will be dropped to fit the context length of the model,
+    `max_prompt_tokens`.
+    """
+
+    last_messages: Optional[int]
+    """
+    The number of most recent messages from the thread when constructing the context
+    for the run.
+    """
+
+
 class RunCreateParamsNonStreaming(RunCreateParamsBase, total=False):
     stream: Optional[Literal[False]]
     """

@@ -9,7 +9,6 @@ from .assistant_tool import AssistantTool as AssistantTool
 from .thread_deleted import ThreadDeleted as ThreadDeleted
 from .file_search_tool import FileSearchTool as FileSearchTool
 from .assistant_deleted import AssistantDeleted as AssistantDeleted
-from .truncation_object import TruncationObject as TruncationObject
 from .function_tool_param import FunctionToolParam as FunctionToolParam
 from .assistant_tool_param import AssistantToolParam as AssistantToolParam
 from .thread_create_params import ThreadCreateParams as ThreadCreateParams
@@ -21,7 +20,6 @@ from .assistant_stream_event import AssistantStreamEvent as AssistantStreamEvent
 from .file_search_tool_param import FileSearchToolParam as FileSearchToolParam
 from .assistant_create_params import AssistantCreateParams as AssistantCreateParams
 from .assistant_update_params import AssistantUpdateParams as AssistantUpdateParams
-from .truncation_object_param import TruncationObjectParam as TruncationObjectParam
 from .assistant_tool_choice_param import AssistantToolChoiceParam as AssistantToolChoiceParam
 from .code_interpreter_tool_param import CodeInterpreterToolParam as CodeInterpreterToolParam
 from .assistant_tool_choice_option import AssistantToolChoiceOption as AssistantToolChoiceOption

@@ -8,7 +8,6 @@ from typing_extensions import Literal, Required, TypeAlias, TypedDict
 from ..shared.chat_model import ChatModel
 from .assistant_tool_param import AssistantToolParam
 from ..shared_params.metadata import Metadata
-from .truncation_object_param import TruncationObjectParam
 from .code_interpreter_tool_param import CodeInterpreterToolParam
 from .assistant_tool_choice_option_param import AssistantToolChoiceOptionParam
 from .threads.message_content_part_param import MessageContentPartParam
@@ -32,6 +31,7 @@ __all__ = [
     "ToolResources",
     "ToolResourcesCodeInterpreter",
     "ToolResourcesFileSearch",
+    "TruncationStrategy",
     "ThreadCreateAndRunParamsNonStreaming",
     "ThreadCreateAndRunParamsStreaming",
 ]
@@ -166,7 +166,7 @@ class ThreadCreateAndRunParamsBase(TypedDict, total=False):
     We generally recommend altering this or temperature but not both.
     """
 
-    truncation_strategy: Optional[TruncationObjectParam]
+    truncation_strategy: Optional[TruncationStrategy]
     """Controls for how a thread will be truncated prior to the run.
 
     Use this to control the intial context window of the run.
@@ -358,6 +358,23 @@ class ToolResources(TypedDict, total=False):
     file_search: ToolResourcesFileSearch
 
 
+class TruncationStrategy(TypedDict, total=False):
+    type: Required[Literal["auto", "last_messages"]]
+    """The truncation strategy to use for the thread.
+
+    The default is `auto`. If set to `last_messages`, the thread will be truncated
+    to the n most recent messages in the thread. When set to `auto`, messages in the
+    middle of the thread will be dropped to fit the context length of the model,
+    `max_prompt_tokens`.
+    """
+
+    last_messages: Optional[int]
+    """
+    The number of most recent messages from the thread when constructing the context
+    for the run.
+    """
+
+
 class ThreadCreateAndRunParamsNonStreaming(ThreadCreateAndRunParamsBase, total=False):
     stream: Optional[Literal[False]]
     """

@@ -1,25 +0,0 @@
-# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
-
-from typing import Optional
-from typing_extensions import Literal
-
-from ..._models import BaseModel
-
-__all__ = ["TruncationObject"]
-
-
-class TruncationObject(BaseModel):
-    type: Literal["auto", "last_messages"]
-    """The truncation strategy to use for the thread.
-
-    The default is `auto`. If set to `last_messages`, the thread will be truncated
-    to the n most recent messages in the thread. When set to `auto`, messages in the
-    middle of the thread will be dropped to fit the context length of the model,
-    `max_prompt_tokens`.
-    """
-
-    last_messages: Optional[int] = None
-    """
-    The number of most recent messages from the thread when constructing the context
-    for the run.
-    """

@@ -1,25 +0,0 @@
-# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
-
-from __future__ import annotations
-
-from typing import Optional
-from typing_extensions import Literal, Required, TypedDict
-
-__all__ = ["TruncationObjectParam"]
-
-
-class TruncationObjectParam(TypedDict, total=False):
-    type: Required[Literal["auto", "last_messages"]]
-    """The truncation strategy to use for the thread.
-
-    The default is `auto`. If set to `last_messages`, the thread will be truncated
-    to the n most recent messages in the thread. When set to `auto`, messages in the
-    middle of the thread will be dropped to fit the context length of the model,
-    `max_prompt_tokens`.
-    """
-
-    last_messages: Optional[int]
-    """
-    The number of most recent messages from the thread when constructing the context
-    for the run.
-    """

@@ -10,21 +10,13 @@ from .run_cancel_response import RunCancelResponse as RunCancelResponse
 from .run_create_response import RunCreateResponse as RunCreateResponse
 from .run_delete_response import RunDeleteResponse as RunDeleteResponse
 from .run_retrieve_response import RunRetrieveResponse as RunRetrieveResponse
-from .eval_jsonl_file_id_source import EvalJSONLFileIDSource as EvalJSONLFileIDSource
-from .eval_jsonl_file_content_source import EvalJSONLFileContentSource as EvalJSONLFileContentSource
-from .eval_jsonl_file_id_source_param import EvalJSONLFileIDSourceParam as EvalJSONLFileIDSourceParam
 from .create_eval_jsonl_run_data_source import CreateEvalJSONLRunDataSource as CreateEvalJSONLRunDataSource
-from .eval_jsonl_file_content_source_param import EvalJSONLFileContentSourceParam as EvalJSONLFileContentSourceParam
-from .create_eval_responses_run_data_source import CreateEvalResponsesRunDataSource as CreateEvalResponsesRunDataSource
 from .create_eval_completions_run_data_source import (
     CreateEvalCompletionsRunDataSource as CreateEvalCompletionsRunDataSource,
 )
 from .create_eval_jsonl_run_data_source_param import (
     CreateEvalJSONLRunDataSourceParam as CreateEvalJSONLRunDataSourceParam,
 )
-from .create_eval_responses_run_data_source_param import (
-    CreateEvalResponsesRunDataSourceParam as CreateEvalResponsesRunDataSourceParam,
-)
 from .create_eval_completions_run_data_source_param import (
     CreateEvalCompletionsRunDataSourceParam as CreateEvalCompletionsRunDataSourceParam,
 )

@@ -1,28 +1,54 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-from typing import List, Union, Optional
+from typing import Dict, List, Union, Optional
 from typing_extensions import Literal, Annotated, TypeAlias
 
 from ..._utils import PropertyInfo
 from ..._models import BaseModel
 from ..shared.metadata import Metadata
-from ..shared.eval_item import EvalItem
-from .eval_jsonl_file_id_source import EvalJSONLFileIDSource
 from ..responses.easy_input_message import EasyInputMessage
-from .eval_jsonl_file_content_source import EvalJSONLFileContentSource
+from ..responses.response_input_text import ResponseInputText
 
 __all__ = [
     "CreateEvalCompletionsRunDataSource",
     "Source",
+    "SourceFileContent",
+    "SourceFileContentContent",
+    "SourceFileID",
     "SourceStoredCompletions",
     "InputMessages",
     "InputMessagesTemplate",
     "InputMessagesTemplateTemplate",
+    "InputMessagesTemplateTemplateMessage",
+    "InputMessagesTemplateTemplateMessageContent",
+    "InputMessagesTemplateTemplateMessageContentOutputText",
     "InputMessagesItemReference",
     "SamplingParams",
 ]
 
 
+class SourceFileContentContent(BaseModel):
+    item: Dict[str, object]
+
+    sample: Optional[Dict[str, object]] = None
+
+
+class SourceFileContent(BaseModel):
+    content: List[SourceFileContentContent]
+    """The content of the jsonl file."""
+
+    type: Literal["file_content"]
+    """The type of jsonl source. Always `file_content`."""
+
+
+class SourceFileID(BaseModel):
+    id: str
+    """The identifier of the file."""
+
+    type: Literal["file_id"]
+    """The type of jsonl source. Always `file_id`."""
+
+
 class SourceStoredCompletions(BaseModel):
     type: Literal["stored_completions"]
     """The type of source. Always `stored_completions`."""
@@ -51,12 +77,39 @@ class SourceStoredCompletions(BaseModel):
 
 
 Source: TypeAlias = Annotated[
-    Union[EvalJSONLFileContentSource, EvalJSONLFileIDSource, SourceStoredCompletions],
-    PropertyInfo(discriminator="type"),
+    Union[SourceFileContent, SourceFileID, SourceStoredCompletions], PropertyInfo(discriminator="type")
+]
+
+
+class InputMessagesTemplateTemplateMessageContentOutputText(BaseModel):
+    text: str
+    """The text output from the model."""
+
+    type: Literal["output_text"]
+    """The type of the output text. Always `output_text`."""
+
+
+InputMessagesTemplateTemplateMessageContent: TypeAlias = Union[
+    str, ResponseInputText, InputMessagesTemplateTemplateMessageContentOutputText
 ]
 
+
+class InputMessagesTemplateTemplateMessage(BaseModel):
+    content: InputMessagesTemplateTemplateMessageContent
+    """Text inputs to the model - can contain template strings."""
+
+    role: Literal["user", "assistant", "system", "developer"]
+    """The role of the message input.
+
+    One of `user`, `assistant`, `system`, or `developer`.
+    """
+
+    type: Optional[Literal["message"]] = None
+    """The type of the message input. Always `message`."""
+
+
 InputMessagesTemplateTemplate: TypeAlias = Annotated[
-    Union[EasyInputMessage, EvalItem], PropertyInfo(discriminator="type")
+    Union[EasyInputMessage, InputMessagesTemplateTemplateMessage], PropertyInfo(discriminator="type")
 ]
 
 

@@ -2,27 +2,53 @@
 
 from __future__ import annotations
 
-from typing import Union, Iterable, Optional
+from typing import Dict, Union, Iterable, Optional
 from typing_extensions import Literal, Required, TypeAlias, TypedDict
 
 from ..shared_params.metadata import Metadata
-from ..shared_params.eval_item import EvalItem
-from .eval_jsonl_file_id_source_param import EvalJSONLFileIDSourceParam
 from ..responses.easy_input_message_param import EasyInputMessageParam
-from .eval_jsonl_file_content_source_param import EvalJSONLFileContentSourceParam
+from ..responses.response_input_text_param import ResponseInputTextParam
 
 __all__ = [
     "CreateEvalCompletionsRunDataSourceParam",
     "Source",
+    "SourceFileContent",
+    "SourceFileContentContent",
+    "SourceFileID",
     "SourceStoredCompletions",
     "InputMessages",
     "InputMessagesTemplate",
     "InputMessagesTemplateTemplate",
+    "InputMessagesTemplateTemplateMessage",
+    "InputMessagesTemplateTemplateMessageContent",
+    "InputMessagesTemplateTemplateMessageContentOutputText",
     "InputMessagesItemReference",
     "SamplingParams",
 ]
 
 
+class SourceFileContentContent(TypedDict, total=False):
+    item: Required[Dict[str, object]]
+
+    sample: Dict[str, object]
+
+
+class SourceFileContent(TypedDict, total=False):
+    content: Required[Iterable[SourceFileContentContent]]
+    """The content of the jsonl file."""
+
+    type: Required[Literal["file_content"]]
+    """The type of jsonl source. Always `file_content`."""
+
+
+class SourceFileID(TypedDict, total=False):
+    id: Required[str]
+    """The identifier of the file."""
+
+    type: Required[Literal["file_id"]]
+    """The type of jsonl source. Always `file_id`."""
+
+
 class SourceStoredCompletions(TypedDict, total=False):
     type: Required[Literal["stored_completions"]]
     """The type of source. Always `stored_completions`."""
@@ -50,9 +76,37 @@ class SourceStoredCompletions(TypedDict, total=False):
     """An optional model to filter by (e.g., 'gpt-4o')."""
 
 
-Source: TypeAlias = Union[EvalJSONLFileContentSourceParam, EvalJSONLFileIDSourceParam, SourceStoredCompletions]
+Source: TypeAlias = Union[SourceFileContent, SourceFileID, SourceStoredCompletions]
+
+
+class InputMessagesTemplateTemplateMessageContentOutputText(TypedDict, total=False):
+    text: Required[str]
+    """The text output from the model."""
+
+    type: Required[Literal["output_text"]]
+    """The type of the output text. Always `output_text`."""
+
+
+InputMessagesTemplateTemplateMessageContent: TypeAlias = Union[
+    str, ResponseInputTextParam, InputMessagesTemplateTemplateMessageContentOutputText
+]
+
+
+class InputMessagesTemplateTemplateMessage(TypedDict, total=False):
+    content: Required[InputMessagesTemplateTemplateMessageContent]
+    """Text inputs to the model - can contain template strings."""
+
+    role: Required[Literal["user", "assistant", "system", "developer"]]
+    """The role of the message input.
+
+    One of `user`, `assistant`, `system`, or `developer`.
+    """
+
+    type: Literal["message"]
+    """The type of the message input. Always `message`."""
+
 
-InputMessagesTemplateTemplate: TypeAlias = Union[EasyInputMessageParam, EvalItem]
+InputMessagesTemplateTemplate: TypeAlias = Union[EasyInputMessageParam, InputMessagesTemplateTemplateMessage]
 
 
 class InputMessagesTemplate(TypedDict, total=False):

@@ -1,18 +1,37 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-from typing import Union
+from typing import Dict, List, Union, Optional
 from typing_extensions import Literal, Annotated, TypeAlias
 
 from ..._utils import PropertyInfo
 from ..._models import BaseModel
-from .eval_jsonl_file_id_source import EvalJSONLFileIDSource
-from .eval_jsonl_file_content_source import EvalJSONLFileContentSource
 
-__all__ = ["CreateEvalJSONLRunDataSource", "Source"]
+__all__ = ["CreateEvalJSONLRunDataSource", "Source", "SourceFileContent", "SourceFileContentContent", "SourceFileID"]
 
-Source: TypeAlias = Annotated[
-    Union[EvalJSONLFileContentSource, EvalJSONLFileIDSource], PropertyInfo(discriminator="type")
-]
+
+class SourceFileContentContent(BaseModel):
+    item: Dict[str, object]
+
+    sample: Optional[Dict[str, object]] = None
+
+
+class SourceFileContent(BaseModel):
+    content: List[SourceFileContentContent]
+    """The content of the jsonl file."""
+
+    type: Literal["file_content"]
+    """The type of jsonl source. Always `file_content`."""
+
+
+class SourceFileID(BaseModel):
+    id: str
+    """The identifier of the file."""
+
+    type: Literal["file_id"]
+    """The type of jsonl source. Always `file_id`."""
+
+
+Source: TypeAlias = Annotated[Union[SourceFileContent, SourceFileID], PropertyInfo(discriminator="type")]
 
 
 class CreateEvalJSONLRunDataSource(BaseModel):

@@ -2,15 +2,41 @@
 
 from __future__ import annotations
 
-from typing import Union
+from typing import Dict, Union, Iterable
 from typing_extensions import Literal, Required, TypeAlias, TypedDict
 
-from .eval_jsonl_file_id_source_param import EvalJSONLFileIDSourceParam
-from .eval_jsonl_file_content_source_param import EvalJSONLFileContentSourceParam
+__all__ = [
+    "CreateEvalJSONLRunDataSourceParam",
+    "Source",
+    "SourceFileContent",
+    "SourceFileContentContent",
+    "SourceFileID",
+]
 
-__all__ = ["CreateEvalJSONLRunDataSourceParam", "Source"]
 
-Source: TypeAlias = Union[EvalJSONLFileContentSourceParam, EvalJSONLFileIDSourceParam]
+class SourceFileContentContent(TypedDict, total=False):
+    item: Required[Dict[str, object]]
+
+    sample: Dict[str, object]
+
+
+class SourceFileContent(TypedDict, total=False):
+    content: Required[Iterable[SourceFileContentContent]]
+    """The content of the jsonl file."""
+
+    type: Required[Literal["file_content"]]
+    """The type of jsonl source. Always `file_content`."""
+
+
+class SourceFileID(TypedDict, total=False):
+    id: Required[str]
+    """The identifier of the file."""
+
+    type: Required[Literal["file_id"]]
+    """The type of jsonl source. Always `file_id`."""
+
+
+Source: TypeAlias = Union[SourceFileContent, SourceFileID]
 
 
 class CreateEvalJSONLRunDataSourceParam(TypedDict, total=False):

@@ -1,151 +0,0 @@
-# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
-
-from typing import List, Union, Optional
-from typing_extensions import Literal, Annotated, TypeAlias
-
-from ..._utils import PropertyInfo
-from ..._models import BaseModel
-from ..shared.eval_item import EvalItem
-from ..shared.reasoning_effort import ReasoningEffort
-from .eval_jsonl_file_id_source import EvalJSONLFileIDSource
-from .eval_jsonl_file_content_source import EvalJSONLFileContentSource
-
-__all__ = [
-    "CreateEvalResponsesRunDataSource",
-    "Source",
-    "SourceResponses",
-    "InputMessages",
-    "InputMessagesTemplate",
-    "InputMessagesTemplateTemplate",
-    "InputMessagesTemplateTemplateChatMessage",
-    "InputMessagesItemReference",
-    "SamplingParams",
-]
-
-
-class SourceResponses(BaseModel):
-    type: Literal["responses"]
-    """The type of run data source. Always `responses`."""
-
-    created_after: Optional[int] = None
-    """Only include items created after this timestamp (inclusive).
-
-    This is a query parameter used to select responses.
-    """
-
-    created_before: Optional[int] = None
-    """Only include items created before this timestamp (inclusive).
-
-    This is a query parameter used to select responses.
-    """
-
-    has_tool_calls: Optional[bool] = None
-    """Whether the response has tool calls.
-
-    This is a query parameter used to select responses.
-    """
-
-    instructions_search: Optional[str] = None
-    """Optional string to search the 'instructions' field.
-
-    This is a query parameter used to select responses.
-    """
-
-    metadata: Optional[object] = None
-    """Metadata filter for the responses.
-
-    This is a query parameter used to select responses.
-    """
-
-    model: Optional[str] = None
-    """The name of the model to find responses for.
-
-    This is a query parameter used to select responses.
-    """
-
-    reasoning_effort: Optional[ReasoningEffort] = None
-    """Optional reasoning effort parameter.
-
-    This is a query parameter used to select responses.
-    """
-
-    temperature: Optional[float] = None
-    """Sampling temperature. This is a query parameter used to select responses."""
-
-    tools: Optional[List[str]] = None
-    """List of tool names. This is a query parameter used to select responses."""
-
-    top_p: Optional[float] = None
-    """Nucleus sampling parameter. This is a query parameter used to select responses."""
-
-    users: Optional[List[str]] = None
-    """List of user identifiers. This is a query parameter used to select responses."""
-
-
-Source: TypeAlias = Annotated[
-    Union[EvalJSONLFileContentSource, EvalJSONLFileIDSource, SourceResponses], PropertyInfo(discriminator="type")
-]
-
-
-class InputMessagesTemplateTemplateChatMessage(BaseModel):
-    content: str
-    """The content of the message."""
-
-    role: str
-    """The role of the message (e.g. "system", "assistant", "user")."""
-
-
-InputMessagesTemplateTemplate: TypeAlias = Union[InputMessagesTemplateTemplateChatMessage, EvalItem]
-
-
-class InputMessagesTemplate(BaseModel):
-    template: List[InputMessagesTemplateTemplate]
-    """A list of chat messages forming the prompt or context.
-
-    May include variable references to the "item" namespace, ie {{item.name}}.
-    """
-
-    type: Literal["template"]
-    """The type of input messages. Always `template`."""
-
-
-class InputMessagesItemReference(BaseModel):
-    item_reference: str
-    """A reference to a variable in the "item" namespace. Ie, "item.name" """
-
-    type: Literal["item_reference"]
-    """The type of input messages. Always `item_reference`."""
-
-
-InputMessages: TypeAlias = Annotated[
-    Union[InputMessagesTemplate, InputMessagesItemReference], PropertyInfo(discriminator="type")
-]
-
-
-class SamplingParams(BaseModel):
-    max_completion_tokens: Optional[int] = None
-    """The maximum number of tokens in the generated output."""
-
-    seed: Optional[int] = None
-    """A seed value to initialize the randomness, during sampling."""
-
-    temperature: Optional[float] = None
-    """A higher temperature increases randomness in the outputs."""
-
-    top_p: Optional[float] = None
-    """An alternative to temperature for nucleus sampling; 1.0 includes all tokens."""
-
-
-class CreateEvalResponsesRunDataSource(BaseModel):
-    source: Source
-    """A EvalResponsesSource object describing a run data source configuration."""
-
-    type: Literal["responses"]
-    """The type of run data source. Always `responses`."""
-
-    input_messages: Optional[InputMessages] = None
-
-    model: Optional[str] = None
-    """The name of the model to use for generating completions (e.g. "o3-mini")."""
-
-    sampling_params: Optional[SamplingParams] = None

@@ -1,147 +0,0 @@
-# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
-
-from __future__ import annotations
-
-from typing import List, Union, Iterable, Optional
-from typing_extensions import Literal, Required, TypeAlias, TypedDict
-
-from ..shared.reasoning_effort import ReasoningEffort
-from ..shared_params.eval_item import EvalItem
-from .eval_jsonl_file_id_source_param import EvalJSONLFileIDSourceParam
-from .eval_jsonl_file_content_source_param import EvalJSONLFileContentSourceParam
-
-__all__ = [
-    "CreateEvalResponsesRunDataSourceParam",
-    "Source",
-    "SourceResponses",
-    "InputMessages",
-    "InputMessagesTemplate",
-    "InputMessagesTemplateTemplate",
-    "InputMessagesTemplateTemplateChatMessage",
-    "InputMessagesItemReference",
-    "SamplingParams",
-]
-
-
-class SourceResponses(TypedDict, total=False):
-    type: Required[Literal["responses"]]
-    """The type of run data source. Always `responses`."""
-
-    created_after: Optional[int]
-    """Only include items created after this timestamp (inclusive).
-
-    This is a query parameter used to select responses.
-    """
-
-    created_before: Optional[int]
-    """Only include items created before this timestamp (inclusive).
-
-    This is a query parameter used to select responses.
-    """
-
-    has_tool_calls: Optional[bool]
-    """Whether the response has tool calls.
-
-    This is a query parameter used to select responses.
-    """
-
-    instructions_search: Optional[str]
-    """Optional string to search the 'instructions' field.
-
-    This is a query parameter used to select responses.
-    """
-
-    metadata: Optional[object]
-    """Metadata filter for the responses.
-
-    This is a query parameter used to select responses.
-    """
-
-    model: Optional[str]
-    """The name of the model to find responses for.
-
-    This is a query parameter used to select responses.
-    """
-
-    reasoning_effort: Optional[ReasoningEffort]
-    """Optional reasoning effort parameter.
-
-    This is a query parameter used to select responses.
-    """
-
-    temperature: Optional[float]
-    """Sampling temperature. This is a query parameter used to select responses."""
-
-    tools: Optional[List[str]]
-    """List of tool names. This is a query parameter used to select responses."""
-
-    top_p: Optional[float]
-    """Nucleus sampling parameter. This is a query parameter used to select responses."""
-
-    users: Optional[List[str]]
-    """List of user identifiers. This is a query parameter used to select responses."""
-
-
-Source: TypeAlias = Union[EvalJSONLFileContentSourceParam, EvalJSONLFileIDSourceParam, SourceResponses]
-
-
-class InputMessagesTemplateTemplateChatMessage(TypedDict, total=False):
-    content: Required[str]
-    """The content of the message."""
-
-    role: Required[str]
-    """The role of the message (e.g. "system", "assistant", "user")."""
-
-
-InputMessagesTemplateTemplate: TypeAlias = Union[InputMessagesTemplateTemplateChatMessage, EvalItem]
-
-
-class InputMessagesTemplate(TypedDict, total=False):
-    template: Required[Iterable[InputMessagesTemplateTemplate]]
-    """A list of chat messages forming the prompt or context.
-
-    May include variable references to the "item" namespace, ie {{item.name}}.
-    """
-
-    type: Required[Literal["template"]]
-    """The type of input messages. Always `template`."""
-
-
-class InputMessagesItemReference(TypedDict, total=False):
-    item_reference: Required[str]
-    """A reference to a variable in the "item" namespace. Ie, "item.name" """
-
-    type: Required[Literal["item_reference"]]
-    """The type of input messages. Always `item_reference`."""
-
-
-InputMessages: TypeAlias = Union[InputMessagesTemplate, InputMessagesItemReference]
-
-
-class SamplingParams(TypedDict, total=False):
-    max_completion_tokens: int
-    """The maximum number of tokens in the generated output."""
-
-    seed: int
-    """A seed value to initialize the randomness, during sampling."""
-
-    temperature: float
-    """A higher temperature increases randomness in the outputs."""
-
-    top_p: float
-    """An alternative to temperature for nucleus sampling; 1.0 includes all tokens."""
-
-
-class CreateEvalResponsesRunDataSourceParam(TypedDict, total=False):
-    source: Required[Source]
-    """A EvalResponsesSource object describing a run data source configuration."""
-
-    type: Required[Literal["responses"]]
-    """The type of run data source. Always `responses`."""
-
-    input_messages: InputMessages
-
-    model: str
-    """The name of the model to use for generating completions (e.g. "o3-mini")."""
-
-    sampling_params: SamplingParams

@@ -1,22 +0,0 @@
-# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
-
-from typing import Dict, List, Optional
-from typing_extensions import Literal
-
-from ..._models import BaseModel
-
-__all__ = ["EvalJSONLFileContentSource", "Content"]
-
-
-class Content(BaseModel):
-    item: Dict[str, object]
-
-    sample: Optional[Dict[str, object]] = None
-
-
-class EvalJSONLFileContentSource(BaseModel):
-    content: List[Content]
-    """The content of the jsonl file."""
-
-    type: Literal["file_content"]
-    """The type of jsonl source. Always `file_content`."""

@@ -1,22 +0,0 @@
-# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
-
-from __future__ import annotations
-
-from typing import Dict, Iterable
-from typing_extensions import Literal, Required, TypedDict
-
-__all__ = ["EvalJSONLFileContentSourceParam", "Content"]
-
-
-class Content(TypedDict, total=False):
-    item: Required[Dict[str, object]]
-
-    sample: Dict[str, object]
-
-
-class EvalJSONLFileContentSourceParam(TypedDict, total=False):
-    content: Required[Iterable[Content]]
-    """The content of the jsonl file."""
-
-    type: Required[Literal["file_content"]]
-    """The type of jsonl source. Always `file_content`."""

@@ -1,15 +0,0 @@
-# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
-
-from typing_extensions import Literal
-
-from ..._models import BaseModel
-
-__all__ = ["EvalJSONLFileIDSource"]
-
-
-class EvalJSONLFileIDSource(BaseModel):
-    id: str
-    """The identifier of the file."""
-
-    type: Literal["file_id"]
-    """The type of jsonl source. Always `file_id`."""

@@ -1,15 +0,0 @@
-# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
-
-from __future__ import annotations
-
-from typing_extensions import Literal, Required, TypedDict
-
-__all__ = ["EvalJSONLFileIDSourceParam"]
-
-
-class EvalJSONLFileIDSourceParam(TypedDict, total=False):
-    id: Required[str]
-    """The identifier of the file."""
-
-    type: Required[Literal["file_id"]]
-    """The type of jsonl source. Always `file_id`."""

@@ -1,6 +1,6 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-from typing import List, Union, Optional
+from typing import Dict, List, Union, Optional
 from typing_extensions import Literal, Annotated, TypeAlias
 
 from pydantic import Field as FieldInfo
@@ -9,14 +9,219 @@ from ..._utils import PropertyInfo
 from ..._models import BaseModel
 from .eval_api_error import EvalAPIError
 from ..shared.metadata import Metadata
+from ..shared.reasoning_effort import ReasoningEffort
+from ..responses.response_input_text import ResponseInputText
 from .create_eval_jsonl_run_data_source import CreateEvalJSONLRunDataSource
-from .create_eval_responses_run_data_source import CreateEvalResponsesRunDataSource
 from .create_eval_completions_run_data_source import CreateEvalCompletionsRunDataSource
 
-__all__ = ["RunCancelResponse", "DataSource", "PerModelUsage", "PerTestingCriteriaResult", "ResultCounts"]
+__all__ = [
+    "RunCancelResponse",
+    "DataSource",
+    "DataSourceResponses",
+    "DataSourceResponsesSource",
+    "DataSourceResponsesSourceFileContent",
+    "DataSourceResponsesSourceFileContentContent",
+    "DataSourceResponsesSourceFileID",
+    "DataSourceResponsesSourceResponses",
+    "DataSourceResponsesInputMessages",
+    "DataSourceResponsesInputMessagesTemplate",
+    "DataSourceResponsesInputMessagesTemplateTemplate",
+    "DataSourceResponsesInputMessagesTemplateTemplateChatMessage",
+    "DataSourceResponsesInputMessagesTemplateTemplateEvalItem",
+    "DataSourceResponsesInputMessagesTemplateTemplateEvalItemContent",
+    "DataSourceResponsesInputMessagesTemplateTemplateEvalItemContentOutputText",
+    "DataSourceResponsesInputMessagesItemReference",
+    "DataSourceResponsesSamplingParams",
+    "PerModelUsage",
+    "PerTestingCriteriaResult",
+    "ResultCounts",
+]
+
+
+class DataSourceResponsesSourceFileContentContent(BaseModel):
+    item: Dict[str, object]
+
+    sample: Optional[Dict[str, object]] = None
+
+
+class DataSourceResponsesSourceFileContent(BaseModel):
+    content: List[DataSourceResponsesSourceFileContentContent]
+    """The content of the jsonl file."""
+
+    type: Literal["file_content"]
+    """The type of jsonl source. Always `file_content`."""
+
+
+class DataSourceResponsesSourceFileID(BaseModel):
+    id: str
+    """The identifier of the file."""
+
+    type: Literal["file_id"]
+    """The type of jsonl source. Always `file_id`."""
+
+
+class DataSourceResponsesSourceResponses(BaseModel):
+    type: Literal["responses"]
+    """The type of run data source. Always `responses`."""
+
+    created_after: Optional[int] = None
+    """Only include items created after this timestamp (inclusive).
+
+    This is a query parameter used to select responses.
+    """
+
+    created_before: Optional[int] = None
+    """Only include items created before this timestamp (inclusive).
+
+    This is a query parameter used to select responses.
+    """
+
+    has_tool_calls: Optional[bool] = None
+    """Whether the response has tool calls.
+
+    This is a query parameter used to select responses.
+    """
+
+    instructions_search: Optional[str] = None
+    """Optional string to search the 'instructions' field.
+
+    This is a query parameter used to select responses.
+    """
+
+    metadata: Optional[object] = None
+    """Metadata filter for the responses.
+
+    This is a query parameter used to select responses.
+    """
+
+    model: Optional[str] = None
+    """The name of the model to find responses for.
+
+    This is a query parameter used to select responses.
+    """
+
+    reasoning_effort: Optional[ReasoningEffort] = None
+    """Optional reasoning effort parameter.
+
+    This is a query parameter used to select responses.
+    """
+
+    temperature: Optional[float] = None
+    """Sampling temperature. This is a query parameter used to select responses."""
+
+    tools: Optional[List[str]] = None
+    """List of tool names. This is a query parameter used to select responses."""
+
+    top_p: Optional[float] = None
+    """Nucleus sampling parameter. This is a query parameter used to select responses."""
+
+    users: Optional[List[str]] = None
+    """List of user identifiers. This is a query parameter used to select responses."""
+
+
+DataSourceResponsesSource: TypeAlias = Annotated[
+    Union[DataSourceResponsesSourceFileContent, DataSourceResponsesSourceFileID, DataSourceResponsesSourceResponses],
+    PropertyInfo(discriminator="type"),
+]
+
+
+class DataSourceResponsesInputMessagesTemplateTemplateChatMessage(BaseModel):
+    content: str
+    """The content of the message."""
+
+    role: str
+    """The role of the message (e.g. "system", "assistant", "user")."""
+
+
+class DataSourceResponsesInputMessagesTemplateTemplateEvalItemContentOutputText(BaseModel):
+    text: str
+    """The text output from the model."""
+
+    type: Literal["output_text"]
+    """The type of the output text. Always `output_text`."""
+
+
+DataSourceResponsesInputMessagesTemplateTemplateEvalItemContent: TypeAlias = Union[
+    str, ResponseInputText, DataSourceResponsesInputMessagesTemplateTemplateEvalItemContentOutputText
+]
+
+
+class DataSourceResponsesInputMessagesTemplateTemplateEvalItem(BaseModel):
+    content: DataSourceResponsesInputMessagesTemplateTemplateEvalItemContent
+    """Text inputs to the model - can contain template strings."""
+
+    role: Literal["user", "assistant", "system", "developer"]
+    """The role of the message input.
+
+    One of `user`, `assistant`, `system`, or `developer`.
+    """
+
+    type: Optional[Literal["message"]] = None
+    """The type of the message input. Always `message`."""
+
+
+DataSourceResponsesInputMessagesTemplateTemplate: TypeAlias = Union[
+    DataSourceResponsesInputMessagesTemplateTemplateChatMessage,
+    DataSourceResponsesInputMessagesTemplateTemplateEvalItem,
+]
+
+
+class DataSourceResponsesInputMessagesTemplate(BaseModel):
+    template: List[DataSourceResponsesInputMessagesTemplateTemplate]
+    """A list of chat messages forming the prompt or context.
+
+    May include variable references to the "item" namespace, ie {{item.name}}.
+    """
+
+    type: Literal["template"]
+    """The type of input messages. Always `template`."""
+
+
+class DataSourceResponsesInputMessagesItemReference(BaseModel):
+    item_reference: str
+    """A reference to a variable in the "item" namespace. Ie, "item.name" """
+
+    type: Literal["item_reference"]
+    """The type of input messages. Always `item_reference`."""
+
+
+DataSourceResponsesInputMessages: TypeAlias = Annotated[
+    Union[DataSourceResponsesInputMessagesTemplate, DataSourceResponsesInputMessagesItemReference],
+    PropertyInfo(discriminator="type"),
+]
+
+
+class DataSourceResponsesSamplingParams(BaseModel):
+    max_completion_tokens: Optional[int] = None
+    """The maximum number of tokens in the generated output."""
+
+    seed: Optional[int] = None
+    """A seed value to initialize the randomness, during sampling."""
+
+    temperature: Optional[float] = None
+    """A higher temperature increases randomness in the outputs."""
+
+    top_p: Optional[float] = None
+    """An alternative to temperature for nucleus sampling; 1.0 includes all tokens."""
+
+
+class DataSourceResponses(BaseModel):
+    source: DataSourceResponsesSource
+    """A EvalResponsesSource object describing a run data source configuration."""
+
+    type: Literal["responses"]
+    """The type of run data source. Always `responses`."""
+
+    input_messages: Optional[DataSourceResponsesInputMessages] = None
+
+    model: Optional[str] = None
+    """The name of the model to use for generating completions (e.g. "o3-mini")."""
+
+    sampling_params: Optional[DataSourceResponsesSamplingParams] = None
+
 
 DataSource: TypeAlias = Annotated[
-    Union[CreateEvalJSONLRunDataSource, CreateEvalCompletionsRunDataSource, CreateEvalResponsesRunDataSource],
+    Union[CreateEvalJSONLRunDataSource, CreateEvalCompletionsRunDataSource, DataSourceResponses],
     PropertyInfo(discriminator="type"),
 ]
 

@@ -2,15 +2,34 @@
 
 from __future__ import annotations
 
-from typing import Union, Optional
-from typing_extensions import Required, TypeAlias, TypedDict
+from typing import Dict, List, Union, Iterable, Optional
+from typing_extensions import Literal, Required, TypeAlias, TypedDict
 
 from ..shared_params.metadata import Metadata
+from ..shared.reasoning_effort import ReasoningEffort
+from ..responses.response_input_text_param import ResponseInputTextParam
 from .create_eval_jsonl_run_data_source_param import CreateEvalJSONLRunDataSourceParam
-from .create_eval_responses_run_data_source_param import CreateEvalResponsesRunDataSourceParam
 from .create_eval_completions_run_data_source_param import CreateEvalCompletionsRunDataSourceParam
 
-__all__ = ["RunCreateParams", "DataSource"]
+__all__ = [
+    "RunCreateParams",
+    "DataSource",
+    "DataSourceCreateEvalResponsesRunDataSource",
+    "DataSourceCreateEvalResponsesRunDataSourceSource",
+    "DataSourceCreateEvalResponsesRunDataSourceSourceFileContent",
+    "DataSourceCreateEvalResponsesRunDataSourceSourceFileContentContent",
+    "DataSourceCreateEvalResponsesRunDataSourceSourceFileID",
+    "DataSourceCreateEvalResponsesRunDataSourceSourceResponses",
+    "DataSourceCreateEvalResponsesRunDataSourceInputMessages",
+    "DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplate",
+    "DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplateTemplate",
+    "DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplateTemplateChatMessage",
+    "DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplateTemplateEvalItem",
+    "DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplateTemplateEvalItemContent",
+    "DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplateTemplateEvalItemContentOutputText",
+    "DataSourceCreateEvalResponsesRunDataSourceInputMessagesItemReference",
+    "DataSourceCreateEvalResponsesRunDataSourceSamplingParams",
+]
 
 
 class RunCreateParams(TypedDict, total=False):
@@ -31,6 +50,195 @@ class RunCreateParams(TypedDict, total=False):
     """The name of the run."""
 
 
+class DataSourceCreateEvalResponsesRunDataSourceSourceFileContentContent(TypedDict, total=False):
+    item: Required[Dict[str, object]]
+
+    sample: Dict[str, object]
+
+
+class DataSourceCreateEvalResponsesRunDataSourceSourceFileContent(TypedDict, total=False):
+    content: Required[Iterable[DataSourceCreateEvalResponsesRunDataSourceSourceFileContentContent]]
+    """The content of the jsonl file."""
+
+    type: Required[Literal["file_content"]]
+    """The type of jsonl source. Always `file_content`."""
+
+
+class DataSourceCreateEvalResponsesRunDataSourceSourceFileID(TypedDict, total=False):
+    id: Required[str]
+    """The identifier of the file."""
+
+    type: Required[Literal["file_id"]]
+    """The type of jsonl source. Always `file_id`."""
+
+
+class DataSourceCreateEvalResponsesRunDataSourceSourceResponses(TypedDict, total=False):
+    type: Required[Literal["responses"]]
+    """The type of run data source. Always `responses`."""
+
+    created_after: Optional[int]
+    """Only include items created after this timestamp (inclusive).
+
+    This is a query parameter used to select responses.
+    """
+
+    created_before: Optional[int]
+    """Only include items created before this timestamp (inclusive).
+
+    This is a query parameter used to select responses.
+    """
+
+    has_tool_calls: Optional[bool]
+    """Whether the response has tool calls.
+
+    This is a query parameter used to select responses.
+    """
+
+    instructions_search: Optional[str]
+    """Optional string to search the 'instructions' field.
+
+    This is a query parameter used to select responses.
+    """
+
+    metadata: Optional[object]
+    """Metadata filter for the responses.
+
+    This is a query parameter used to select responses.
+    """
+
+    model: Optional[str]
+    """The name of the model to find responses for.
+
+    This is a query parameter used to select responses.
+    """
+
+    reasoning_effort: Optional[ReasoningEffort]
+    """Optional reasoning effort parameter.
+
+    This is a query parameter used to select responses.
+    """
+
+    temperature: Optional[float]
+    """Sampling temperature. This is a query parameter used to select responses."""
+
+    tools: Optional[List[str]]
+    """List of tool names. This is a query parameter used to select responses."""
+
+    top_p: Optional[float]
+    """Nucleus sampling parameter. This is a query parameter used to select responses."""
+
+    users: Optional[List[str]]
+    """List of user identifiers. This is a query parameter used to select responses."""
+
+
+DataSourceCreateEvalResponsesRunDataSourceSource: TypeAlias = Union[
+    DataSourceCreateEvalResponsesRunDataSourceSourceFileContent,
+    DataSourceCreateEvalResponsesRunDataSourceSourceFileID,
+    DataSourceCreateEvalResponsesRunDataSourceSourceResponses,
+]
+
+
+class DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplateTemplateChatMessage(TypedDict, total=False):
+    content: Required[str]
+    """The content of the message."""
+
+    role: Required[str]
+    """The role of the message (e.g. "system", "assistant", "user")."""
+
+
+class DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplateTemplateEvalItemContentOutputText(
+    TypedDict, total=False
+):
+    text: Required[str]
+    """The text output from the model."""
+
+    type: Required[Literal["output_text"]]
+    """The type of the output text. Always `output_text`."""
+
+
+DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplateTemplateEvalItemContent: TypeAlias = Union[
+    str,
+    ResponseInputTextParam,
+    DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplateTemplateEvalItemContentOutputText,
+]
+
+
+class DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplateTemplateEvalItem(TypedDict, total=False):
+    content: Required[DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplateTemplateEvalItemContent]
+    """Text inputs to the model - can contain template strings."""
+
+    role: Required[Literal["user", "assistant", "system", "developer"]]
+    """The role of the message input.
+
+    One of `user`, `assistant`, `system`, or `developer`.
+    """
+
+    type: Literal["message"]
+    """The type of the message input. Always `message`."""
+
+
+DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplateTemplate: TypeAlias = Union[
+    DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplateTemplateChatMessage,
+    DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplateTemplateEvalItem,
+]
+
+
+class DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplate(TypedDict, total=False):
+    template: Required[Iterable[DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplateTemplate]]
+    """A list of chat messages forming the prompt or context.
+
+    May include variable references to the "item" namespace, ie {{item.name}}.
+    """
+
+    type: Required[Literal["template"]]
+    """The type of input messages. Always `template`."""
+
+
+class DataSourceCreateEvalResponsesRunDataSourceInputMessagesItemReference(TypedDict, total=False):
+    item_reference: Required[str]
+    """A reference to a variable in the "item" namespace. Ie, "item.name" """
+
+    type: Required[Literal["item_reference"]]
+    """The type of input messages. Always `item_reference`."""
+
+
+DataSourceCreateEvalResponsesRunDataSourceInputMessages: TypeAlias = Union[
+    DataSourceCreateEvalResponsesRunDataSourceInputMessagesTemplate,
+    DataSourceCreateEvalResponsesRunDataSourceInputMessagesItemReference,
+]
+
+
+class DataSourceCreateEvalResponsesRunDataSourceSamplingParams(TypedDict, total=False):
+    max_completion_tokens: int
+    """The maximum number of tokens in the generated output."""
+
+    seed: int
+    """A seed value to initialize the randomness, during sampling."""
+
+    temperature: float
+    """A higher temperature increases randomness in the outputs."""
+
+    top_p: float
+    """An alternative to temperature for nucleus sampling; 1.0 includes all tokens."""
+
+
+class DataSourceCreateEvalResponsesRunDataSource(TypedDict, total=False):
+    source: Required[DataSourceCreateEvalResponsesRunDataSourceSource]
+    """A EvalResponsesSource object describing a run data source configuration."""
+
+    type: Required[Literal["responses"]]
+    """The type of run data source. Always `responses`."""
+
+    input_messages: DataSourceCreateEvalResponsesRunDataSourceInputMessages
+
+    model: str
+    """The name of the model to use for generating completions (e.g. "o3-mini")."""
+
+    sampling_params: DataSourceCreateEvalResponsesRunDataSourceSamplingParams
+
+
 DataSource: TypeAlias = Union[
-    CreateEvalJSONLRunDataSourceParam, CreateEvalCompletionsRunDataSourceParam, CreateEvalResponsesRunDataSourceParam
+    CreateEvalJSONLRunDataSourceParam,
+    CreateEvalCompletionsRunDataSourceParam,
+    DataSourceCreateEvalResponsesRunDataSource,
 ]

@@ -1,6 +1,6 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-from typing import List, Union, Optional
+from typing import Dict, List, Union, Optional
 from typing_extensions import Literal, Annotated, TypeAlias
 
 from pydantic import Field as FieldInfo
@@ -9,14 +9,219 @@ from ..._utils import PropertyInfo
 from ..._models import BaseModel
 from .eval_api_error import EvalAPIError
 from ..shared.metadata import Metadata
+from ..shared.reasoning_effort import ReasoningEffort
+from ..responses.response_input_text import ResponseInputText
 from .create_eval_jsonl_run_data_source import CreateEvalJSONLRunDataSource
-from .create_eval_responses_run_data_source import CreateEvalResponsesRunDataSource
 from .create_eval_completions_run_data_source import CreateEvalCompletionsRunDataSource
 
-__all__ = ["RunCreateResponse", "DataSource", "PerModelUsage", "PerTestingCriteriaResult", "ResultCounts"]
+__all__ = [
+    "RunCreateResponse",
+    "DataSource",
+    "DataSourceResponses",
+    "DataSourceResponsesSource",
+    "DataSourceResponsesSourceFileContent",
+    "DataSourceResponsesSourceFileContentContent",
+    "DataSourceResponsesSourceFileID",
+    "DataSourceResponsesSourceResponses",
+    "DataSourceResponsesInputMessages",
+    "DataSourceResponsesInputMessagesTemplate",
+    "DataSourceResponsesInputMessagesTemplateTemplate",
+    "DataSourceResponsesInputMessagesTemplateTemplateChatMessage",
+    "DataSourceResponsesInputMessagesTemplateTemplateEvalItem",
+    "DataSourceResponsesInputMessagesTemplateTemplateEvalItemContent",
+    "DataSourceResponsesInputMessagesTemplateTemplateEvalItemContentOutputText",
+    "DataSourceResponsesInputMessagesItemReference",
+    "DataSourceResponsesSamplingParams",
+    "PerModelUsage",
+    "PerTestingCriteriaResult",
+    "ResultCounts",
+]
+
+
+class DataSourceResponsesSourceFileContentContent(BaseModel):
+    item: Dict[str, object]
+
+    sample: Optional[Dict[str, object]] = None
+
+
+class DataSourceResponsesSourceFileContent(BaseModel):
+    content: List[DataSourceResponsesSourceFileContentContent]
+    """The content of the jsonl file."""
+
+    type: Literal["file_content"]
+    """The type of jsonl source. Always `file_content`."""
+
+
+class DataSourceResponsesSourceFileID(BaseModel):
+    id: str
+    """The identifier of the file."""
+
+    type: Literal["file_id"]
+    """The type of jsonl source. Always `file_id`."""
+
+
+class DataSourceResponsesSourceResponses(BaseModel):
+    type: Literal["responses"]
+    """The type of run data source. Always `responses`."""
+
+    created_after: Optional[int] = None
+    """Only include items created after this timestamp (inclusive).
+
+    This is a query parameter used to select responses.
+    """
+
+    created_before: Optional[int] = None
+    """Only include items created before this timestamp (inclusive).
+
+    This is a query parameter used to select responses.
+    """
+
+    has_tool_calls: Optional[bool] = None
+    """Whether the response has tool calls.
+
+    This is a query parameter used to select responses.
+    """
+
+    instructions_search: Optional[str] = None
+    """Optional string to search the 'instructions' field.
+
+    This is a query parameter used to select responses.
+    """
+
+    metadata: Optional[object] = None
+    """Metadata filter for the responses.
+
+    This is a query parameter used to select responses.
+    """
+
+    model: Optional[str] = None
+    """The name of the model to find responses for.
+
+    This is a query parameter used to select responses.
+    """
+
+    reasoning_effort: Optional[ReasoningEffort] = None
+    """Optional reasoning effort parameter.
+
+    This is a query parameter used to select responses.
+    """
+
+    temperature: Optional[float] = None
+    """Sampling temperature. This is a query parameter used to select responses."""
+
+    tools: Optional[List[str]] = None
+    """List of tool names. This is a query parameter used to select responses."""
+
+    top_p: Optional[float] = None
+    """Nucleus sampling parameter. This is a query parameter used to select responses."""
+
+    users: Optional[List[str]] = None
+    """List of user identifiers. This is a query parameter used to select responses."""
+
+
+DataSourceResponsesSource: TypeAlias = Annotated[
+    Union[DataSourceResponsesSourceFileContent, DataSourceResponsesSourceFileID, DataSourceResponsesSourceResponses],
+    PropertyInfo(discriminator="type"),
+]
+
+
+class DataSourceResponsesInputMessagesTemplateTemplateChatMessage(BaseModel):
+    content: str
+    """The content of the message."""
+
+    role: str
+    """The role of the message (e.g. "system", "assistant", "user")."""
+
+
+class DataSourceResponsesInputMessagesTemplateTemplateEvalItemContentOutputText(BaseModel):
+    text: str
+    """The text output from the model."""
+
+    type: Literal["output_text"]
+    """The type of the output text. Always `output_text`."""
+
+
+DataSourceResponsesInputMessagesTemplateTemplateEvalItemContent: TypeAlias = Union[
+    str, ResponseInputText, DataSourceResponsesInputMessagesTemplateTemplateEvalItemContentOutputText
+]
+
+
+class DataSourceResponsesInputMessagesTemplateTemplateEvalItem(BaseModel):
+    content: DataSourceResponsesInputMessagesTemplateTemplateEvalItemContent
+    """Text inputs to the model - can contain template strings."""
+
+    role: Literal["user", "assistant", "system", "developer"]
+    """The role of the message input.
+
+    One of `user`, `assistant`, `system`, or `developer`.
+    """
+
+    type: Optional[Literal["message"]] = None
+    """The type of the message input. Always `message`."""
+
+
+DataSourceResponsesInputMessagesTemplateTemplate: TypeAlias = Union[
+    DataSourceResponsesInputMessagesTemplateTemplateChatMessage,
+    DataSourceResponsesInputMessagesTemplateTemplateEvalItem,
+]
+
+
+class DataSourceResponsesInputMessagesTemplate(BaseModel):
+    template: List[DataSourceResponsesInputMessagesTemplateTemplate]
+    """A list of chat messages forming the prompt or context.
+
+    May include variable references to the "item" namespace, ie {{item.name}}.
+    """
+
+    type: Literal["template"]
+    """The type of input messages. Always `template`."""
+
+
+class DataSourceResponsesInputMessagesItemReference(BaseModel):
+    item_reference: str
+    """A reference to a variable in the "item" namespace. Ie, "item.name" """
+
+    type: Literal["item_reference"]
+    """The type of input messages. Always `item_reference`."""
+
+
+DataSourceResponsesInputMessages: TypeAlias = Annotated[
+    Union[DataSourceResponsesInputMessagesTemplate, DataSourceResponsesInputMessagesItemReference],
+    PropertyInfo(discriminator="type"),
+]
+
+
+class DataSourceResponsesSamplingParams(BaseModel):
+    max_completion_tokens: Optional[int] = None
+    """The maximum number of tokens in the generated output."""
+
+    seed: Optional[int] = None
+    """A seed value to initialize the randomness, during sampling."""
+
+    temperature: Optional[float] = None
+    """A higher temperature increases randomness in the outputs."""
+
+    top_p: Optional[float] = None
+    """An alternative to temperature for nucleus sampling; 1.0 includes all tokens."""
+
+
+class DataSourceResponses(BaseModel):
+    source: DataSourceResponsesSource
+    """A EvalResponsesSource object describing a run data source configuration."""
+
+    type: Literal["responses"]
+    """The type of run data source. Always `responses`."""
+
+    input_messages: Optional[DataSourceResponsesInputMessages] = None
+
+    model: Optional[str] = None
+    """The name of the model to use for generating completions (e.g. "o3-mini")."""
+
+    sampling_params: Optional[DataSourceResponsesSamplingParams] = None
+
 
 DataSource: TypeAlias = Annotated[
-    Union[CreateEvalJSONLRunDataSource, CreateEvalCompletionsRunDataSource, CreateEvalResponsesRunDataSource],
+    Union[CreateEvalJSONLRunDataSource, CreateEvalCompletionsRunDataSource, DataSourceResponses],
     PropertyInfo(discriminator="type"),
 ]
 

@@ -1,6 +1,6 @@
 # File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
 
-from typing import List, Union, Optional
+from typing import Dict, List, Union, Optional
 from typing_extensions import Literal, Annotated, TypeAlias
 
 from pydantic import Field as FieldInfo
@@ -9,14 +9,219 @@ from ..._utils import PropertyInfo
 from ..._models import BaseModel
 from .eval_api_error import EvalAPIError
 from ..shared.metadata import Metadata
+from ..shared.reasoning_effort import ReasoningEffort
+from ..responses.response_input_text import ResponseInputText
 from .create_eval_jsonl_run_data_source import CreateEvalJSONLRunDataSource
-from .create_eval_responses_run_data_source import CreateEvalResponsesRunDataSource
 from .create_eval_completions_run_data_source import CreateEvalCompletionsRunDataSource
 
-__all__ = ["RunListResponse", "DataSource", "PerModelUsage", "PerTestingCriteriaResult", "ResultCounts"]
+__all__ = [
+    "RunListResponse",
+    "DataSource",
+    "DataSourceResponses",
+    "DataSourceResponsesSource",
+    "DataSourceResponsesSourceFileContent",
+    "DataSourceResponsesSourceFileContentContent",
+    "DataSourceResponsesSourceFileID",
+    "DataSourceResponsesSourceResponses",
+    "DataSourceResponsesInputMessages",
+    "DataSourceResponsesInputMessagesTemplate",
+    "DataSourceResponsesInputMessagesTemplateTemplate",
+    "DataSourceResponsesInputMessagesTemplateTemplateChatMessage",
+    "DataSourceResponsesInputMessagesTemplateTemplateEvalItem",
+    "DataSourceResponsesInputMessagesTemplateTemplateEvalItemContent",
+    "DataSourceResponsesInputMessagesTemplateTemplateEvalItemContentOutputText",
+    "DataSourceResponsesInputMessagesItemReference",
+    "DataSourceResponsesSamplingParams",
+    "PerModelUsage",
+    "PerTestingCriteriaResult",
+    "ResultCounts",
+]
+
+
+class DataSourceResponsesSourceFileContentContent(BaseModel):
+    item: Dict[str, object]
+
+    sample: Optional[Dict[str, object]] = None
+
+
+class DataSourceResponsesSourceFileContent(BaseModel):
+    content: List[DataSourceResponsesSourceFileContentContent]
+    """The content of the jsonl file."""
+
+    type: Literal["file_content"]
+    """The type of jsonl source. Always `file_content`."""
+
+
+class DataSourceResponsesSourceFileID(BaseModel):
+    id: str
+    """The identifier of the file."""
+
+    type: Literal["file_id"]
+    """The type of jsonl source. Always `file_id`."""
+
+
+class DataSourceResponsesSourceResponses(BaseModel):
+    type: Literal["responses"]
+    """The type of run data source. Always `responses`."""
+
+    created_after: Optional[int] = None
+    """Only include items created after this timestamp (inclusive).
+
+    This is a query parameter used to select responses.
+    """
+
+    created_before: Optional[int] = None
+    """Only include items created before this timestamp (inclusive).
+
+    This is a query parameter used to select responses.
+    """
+
+    has_tool_calls: Optional[bool] = None
+    """Whether the response has tool calls.
+
+    This is a query parameter used to select responses.
+    """
+
+    instructions_search: Optional[str] = None
+    """Optional string to search the 'instructions' field.
+
+    This is a query parameter used to select responses.
+    """
+
+    metadata: Optional[object] = None
+    """Metadata filter for the responses.
+
+    This is a query parameter used to select responses.
+    """
+
+    model: Optional[str] = None
+    """The name of the model to find responses for.
+
+    This is a query parameter used to select responses.
+    """
+
+    reasoning_effort: Optional[ReasoningEffort] = None
+    """Optional reasoning effort parameter.
+
+    This is a query parameter used to select responses.
+    """
+
+    temperature: Optional[float] = None
+    """Sampling temperature. This is a query parameter used to select responses."""
+
+    tools: Optional[List[str]] = None
+    """List of tool names. This is a query parameter used to select responses."""
+
+    top_p: Optional[float] = None
+    """Nucleus sampling parameter. This is a query parameter used to select responses."""
+
+    users: Optional[List[str]] = None
+    """List of user identifiers. This is a query parameter used to select responses."""
+
+
+DataSourceResponsesSource: TypeAlias = Annotated[
+    Union[DataSourceResponsesSourceFileContent, DataSourceResponsesSourceFileID, DataSourceResponsesSourceResponses],
+    PropertyInfo(discriminator="type"),
+]
+
+
+class DataSourceResponsesInputMessagesTemplateTemplateChatMessage(BaseModel):
+    content: str
+    """The content of the message."""
+
+    role: str
+    """The role of the message (e.g. "system", "assistant", "user")."""
+
+
+class DataSourceResponsesInputMessagesTemplateTemplateEvalItemContentOutputText(BaseModel):
+    text: str
+    """The text output from the model."""
+
+    type: Literal["output_text"]
+    """The type of the output text. Always `output_text`."""
+
+
+DataSourceResponsesInputMessagesTemplateTemplateEvalItemContent: TypeAlias = Union[
+    str, ResponseInputText, DataSourceResponsesInputMessagesTemplateTemplateEvalItemContentOutputText
+]
+
+
+class DataSourceResponsesInputMessagesTemplateTemplateEvalItem(BaseModel):
+    content: DataSourceResponsesInputMessagesTemplateTemplateEvalItemContent
+    """Text inputs to the model - can contain template strings."""
+
+    role: Literal["user", "assistant", "system", "developer"]
+    """The role of the message input.
+
+    One of `user`, `assistant`, `system`, or `developer`.
+    """
+
+    type: Optional[Literal["message"]] = None
+    """The type of the message input. Always `message`."""
+
+
+DataSourceResponsesInputMessagesTemplateTemplate: TypeAlias = Union[
+    DataSourceResponsesInputMessagesTemplateTemplateChatMessage,
+    DataSourceResponsesInputMessagesTemplateTemplateEvalItem,
+]
+
+
+class DataSourceResponsesInputMessagesTemplate(BaseModel):
+    template: List[DataSourceResponsesInputMessagesTemplateTemplate]
+    """A list of chat messages forming the prompt or context.
+
+    May include variable references to the "item" namespace, ie {{item.name}}.
+    """
+
+    type: Literal["template"]
+    """The type of input messages. Always `template`."""
+
+
+class DataSourceResponsesInputMessagesItemReference(BaseModel):
+    item_reference: str
+    """A reference to a variable in the "item" namespace. Ie, "item.name" """
+
+    type: Literal["item_reference"]
+    """The type of input messages. Always `item_reference`."""
+
+
+DataSourceResponsesInputMessages: TypeAlias = Annotated[
+    Union[DataSourceResponsesInputMessagesTemplate, DataSourceResponsesInputMessagesItemReference],
+    PropertyInfo(discriminator="type"),
+]
+
+
+class DataSourceResponsesSamplingParams(BaseModel):
+    max_completion_tokens: Optional[int] = None
+    """The maximum number of tokens in the generated output."""
+
+    seed: Optional[int] = None
+    """A seed value to initialize the randomness, during sampling."""
+
+    temperature: Optional[float] = None
+    """A higher temperature increases randomness in the outputs."""
+
+    top_p: Optional[float] = None
+    """An alternative to temperature for nucleus sampling; 1.0 includes all tokens."""
+
+
+class DataSourceResponses(BaseModel):
+    source: DataSourceResponsesSource
+    """A EvalResponsesSource object describing a run data source configuration."""
+
+    type: Literal["responses"]
+    """The type of run data source. Always `responses`."""
+
+    input_messages: Optional[DataSourceResponsesInputMessages] = None
+
+    model: Optional[str] = None
+    """The name of the model to use for generating completions (e.g. "o3-mini")."""
+
+    sampling_params: Optional[DataSourceResponsesSamplingParams] = None
+
 
 DataSource: TypeAlias = Annotated[
-    Union[CreateEvalJSONLRunDataSource, CreateEvalCompletionsRunDataSource, CreateEvalResponsesRunDataSource],
+    Union[CreateEvalJSONLRunDataSource, CreateEvalCompletionsRunDataSource, DataSourceResponses],
     PropertyInfo(discriminator="type"),
 ]