diff --git a/.release-please-manifest.json b/.release-please-manifest.json
index 271a68cfd8..de0960aba8 100644
--- a/.release-please-manifest.json
+++ b/.release-please-manifest.json
@@ -1,3 +1,3 @@
 {
-  ".": "1.11.1"
+  ".": "1.12.0"
 }
\ No newline at end of file
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 4ac4be39fb..5ef0b80e87 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,31 @@
 # Changelog
 
+## 1.12.0 (2024-02-08)
+
+Full Changelog: [v1.11.1...v1.12.0](https://github.com/openai/openai-python/compare/v1.11.1...v1.12.0)
+
+### Features
+
+* **api:** add `timestamp_granularities`, add `gpt-3.5-turbo-0125` model ([#1125](https://github.com/openai/openai-python/issues/1125)) ([1ecf8f6](https://github.com/openai/openai-python/commit/1ecf8f6b12323ed09fb6a2815c85b9533ee52a50))
+* **cli/images:** add support for `--model` arg ([#1132](https://github.com/openai/openai-python/issues/1132)) ([0d53866](https://github.com/openai/openai-python/commit/0d5386615cda7cd50d5db90de2119b84dba29519))
+
+
+### Bug Fixes
+
+* remove double brackets from timestamp_granularities param ([#1140](https://github.com/openai/openai-python/issues/1140)) ([3db0222](https://github.com/openai/openai-python/commit/3db022216a81fa86470b53ec1246669bc7b17897))
+* **types:** loosen most List params types to Iterable ([#1129](https://github.com/openai/openai-python/issues/1129)) ([bdb31a3](https://github.com/openai/openai-python/commit/bdb31a3b1db6ede4e02b3c951c4fd23f70260038))
+
+
+### Chores
+
+* **internal:** add lint command ([#1128](https://github.com/openai/openai-python/issues/1128)) ([4c021c0](https://github.com/openai/openai-python/commit/4c021c0ab0151c2ec092d860c9b60e22e658cd03))
+* **internal:** support serialising iterable types ([#1127](https://github.com/openai/openai-python/issues/1127)) ([98d4e59](https://github.com/openai/openai-python/commit/98d4e59afcf2d65d4e660d91eb9462240ef5cd63))
+
+
+### Documentation
+
+* add CONTRIBUTING.md ([#1138](https://github.com/openai/openai-python/issues/1138)) ([79c8f0e](https://github.com/openai/openai-python/commit/79c8f0e8bf5470e2e31e781e8d279331e89ddfbe))
+
 ## 1.11.1 (2024-02-04)
 
 Full Changelog: [v1.11.0...v1.11.1](https://github.com/openai/openai-python/compare/v1.11.0...v1.11.1)
diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
new file mode 100644
index 0000000000..914ab67053
--- /dev/null
+++ b/CONTRIBUTING.md
@@ -0,0 +1,125 @@
+## Setting up the environment
+
+### With Rye
+
+We use [Rye](https://rye-up.com/) to manage dependencies so we highly recommend [installing it](https://rye-up.com/guide/installation/) as it will automatically provision a Python environment with the expected Python version.
+
+After installing Rye, you'll just have to run this command:
+
+```sh
+$ rye sync --all-features
+```
+
+You can then run scripts using `rye run python script.py` or by activating the virtual environment:
+
+```sh
+$ rye shell
+# or manually activate - https://docs.python.org/3/library/venv.html#how-venvs-work
+$ source .venv/bin/activate
+
+# now you can omit the `rye run` prefix
+$ python script.py
+```
+
+### Without Rye
+
+Alternatively if you don't want to install `Rye`, you can stick with the standard `pip` setup by ensuring you have the Python version specified in `.python-version`, create a virtual environment however you desire and then install dependencies using this command:
+
+```sh
+$ pip install -r requirements-dev.lock
+```
+
+## Modifying/Adding code
+
+Most of the SDK is generated code, and any modified code will be overridden on the next generation. The
+`src/openai/lib/` and `examples/` directories are exceptions and will never be overridden.
+
+## Adding and running examples
+
+All files in the `examples/` directory are not modified by the Stainless generator and can be freely edited or
+added to.
+
+```bash
+# add an example to examples/<your-example>.py
+
+#!/usr/bin/env -S rye run python
+…
+```
+
+```
+chmod +x examples/<your-example>.py
+# run the example against your api
+./examples/<your-example>.py
+```
+
+## Using the repository from source
+
+If you’d like to use the repository from source, you can either install from git or link to a cloned repository:
+
+To install via git:
+
+```bash
+pip install git+ssh://git@github.com:openai/openai-python.git
+```
+
+Alternatively, you can build from source and install the wheel file:
+
+Building this package will create two files in the `dist/` directory, a `.tar.gz` containing the source files and a `.whl` that can be used to install the package efficiently.
+
+To create a distributable version of the library, all you have to do is run this command:
+
+```bash
+rye build
+# or
+python -m build
+```
+
+Then to install:
+
+```sh
+pip install ./path-to-wheel-file.whl
+```
+
+## Running tests
+
+Most tests will require you to [setup a mock server](https://github.com/stoplightio/prism) against the OpenAPI spec to run the tests.
+
+```bash
+# you will need npm installed
+npx prism path/to/your/openapi.yml
+```
+
+```bash
+rye run pytest
+```
+
+## Linting and formatting
+
+This repository uses [ruff](https://github.com/astral-sh/ruff) and
+[black](https://github.com/psf/black) to format the code in the repository.
+
+To lint:
+
+```bash
+rye run lint
+```
+
+To format and fix all ruff issues automatically:
+
+```bash
+rye run format
+```
+
+## Publishing and releases
+
+Changes made to this repository via the automated release PR pipeline should publish to PyPI automatically. If
+the changes aren't made through the automated pipeline, you may want to make releases manually.
+
+### Publish with a GitHub workflow
+
+You can release to package managers by using [the `Publish PyPI` GitHub action](https://www.github.com/openai/openai-python/actions/workflows/publish-pypi.yml). This will require a setup organization or repository secret to be set up.
+
+### Publish manually
+
+If you need to manually release a package, you can run the `bin/publish-pypi` script with an `PYPI_TOKEN` set on
+the environment.
diff --git a/pyproject.toml b/pyproject.toml
index 20371e0ef9..163297ee2b 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "openai"
-version = "1.11.1"
+version = "1.12.0"
 description = "The official Python library for the openai API"
 readme = "README.md"
 license = "Apache-2.0"
@@ -75,6 +75,10 @@ format = { chain = [
 "format:ruff" = "ruff format"
 "format:isort" = "isort ."
 
+"lint" = { chain = [
+  "check:ruff",
+  "typecheck",
+]}
 "check:ruff" = "ruff ."
 "fix:ruff" = "ruff --fix ."
 
diff --git a/src/openai/_utils/__init__.py b/src/openai/_utils/__init__.py
index 0fb811a945..b5790a879f 100644
--- a/src/openai/_utils/__init__.py
+++ b/src/openai/_utils/__init__.py
@@ -9,6 +9,7 @@
     is_mapping as is_mapping,
     is_tuple_t as is_tuple_t,
     parse_date as parse_date,
+    is_iterable as is_iterable,
     is_sequence as is_sequence,
     coerce_float as coerce_float,
     is_mapping_t as is_mapping_t,
@@ -33,6 +34,7 @@
     is_list_type as is_list_type,
     is_union_type as is_union_type,
     extract_type_arg as extract_type_arg,
+    is_iterable_type as is_iterable_type,
     is_required_type as is_required_type,
     is_annotated_type as is_annotated_type,
     strip_annotated_type as strip_annotated_type,
diff --git a/src/openai/_utils/_transform.py b/src/openai/_utils/_transform.py
index 3a1c14969b..2cb7726c73 100644
--- a/src/openai/_utils/_transform.py
+++ b/src/openai/_utils/_transform.py
@@ -9,11 +9,13 @@
 from ._utils import (
     is_list,
     is_mapping,
+    is_iterable,
 )
 from ._typing import (
     is_list_type,
     is_union_type,
     extract_type_arg,
+    is_iterable_type,
     is_required_type,
     is_annotated_type,
     strip_annotated_type,
@@ -157,7 +159,12 @@ def _transform_recursive(
     if is_typeddict(stripped_type) and is_mapping(data):
         return _transform_typeddict(data, stripped_type)
 
-    if is_list_type(stripped_type) and is_list(data):
+    if (
+        # List[T]
+        (is_list_type(stripped_type) and is_list(data))
+        # Iterable[T]
+        or (is_iterable_type(stripped_type) and is_iterable(data) and not isinstance(data, str))
+    ):
         inner_type = extract_type_arg(stripped_type, 0)
         return [_transform_recursive(d, annotation=annotation, inner_type=inner_type) for d in data]
 
diff --git a/src/openai/_utils/_typing.py b/src/openai/_utils/_typing.py
index c1d1ebb9a4..c036991f04 100644
--- a/src/openai/_utils/_typing.py
+++ b/src/openai/_utils/_typing.py
@@ -1,6 +1,7 @@
 from __future__ import annotations
 
-from typing import Any, TypeVar, cast
+from typing import Any, TypeVar, Iterable, cast
+from collections import abc as _c_abc
 from typing_extensions import Required, Annotated, get_args, get_origin
 
 from .._types import InheritsGeneric
@@ -15,6 +16,12 @@ def is_list_type(typ: type) -> bool:
     return (get_origin(typ) or typ) == list
 
 
+def is_iterable_type(typ: type) -> bool:
+    """If the given type is `typing.Iterable[T]`"""
+    origin = get_origin(typ) or typ
+    return origin == Iterable or origin == _c_abc.Iterable
+
+
 def is_union_type(typ: type) -> bool:
     return _is_union(get_origin(typ))
 
diff --git a/src/openai/_utils/_utils.py b/src/openai/_utils/_utils.py
index 1c5c21a8ea..93c95517a9 100644
--- a/src/openai/_utils/_utils.py
+++ b/src/openai/_utils/_utils.py
@@ -164,6 +164,10 @@ def is_list(obj: object) -> TypeGuard[list[object]]:
     return isinstance(obj, list)
 
 
+def is_iterable(obj: object) -> TypeGuard[Iterable[object]]:
+    return isinstance(obj, Iterable)
+
+
 def deepcopy_minimal(item: _T) -> _T:
     """Minimal reimplementation of copy.deepcopy() that will only copy certain object types:
 
diff --git a/src/openai/_version.py b/src/openai/_version.py
index 8af0cd2490..6db2292c7b 100644
--- a/src/openai/_version.py
+++ b/src/openai/_version.py
@@ -1,4 +1,4 @@
 # File generated from our OpenAPI spec by Stainless.
 
 __title__ = "openai"
-__version__ = "1.11.1"  # x-release-please-version
+__version__ = "1.12.0"  # x-release-please-version
diff --git a/src/openai/cli/_api/image.py b/src/openai/cli/_api/image.py
index e6149eeac4..3e2a0a90f1 100644
--- a/src/openai/cli/_api/image.py
+++ b/src/openai/cli/_api/image.py
@@ -14,6 +14,7 @@
 
 def register(subparser: _SubParsersAction[ArgumentParser]) -> None:
     sub = subparser.add_parser("images.generate")
+    sub.add_argument("-m", "--model", type=str)
     sub.add_argument("-p", "--prompt", type=str, required=True)
     sub.add_argument("-n", "--num-images", type=int, default=1)
     sub.add_argument("-s", "--size", type=str, default="1024x1024", help="Size of the output image")
@@ -21,6 +22,7 @@ def register(subparser: _SubParsersAction[ArgumentParser]) -> None:
     sub.set_defaults(func=CLIImage.create, args_model=CLIImageCreateArgs)
 
     sub = subparser.add_parser("images.edit")
+    sub.add_argument("-m", "--model", type=str)
     sub.add_argument("-p", "--prompt", type=str, required=True)
     sub.add_argument("-n", "--num-images", type=int, default=1)
     sub.add_argument(
@@ -42,6 +44,7 @@ def register(subparser: _SubParsersAction[ArgumentParser]) -> None:
     sub.set_defaults(func=CLIImage.edit, args_model=CLIImageEditArgs)
 
     sub = subparser.add_parser("images.create_variation")
+    sub.add_argument("-m", "--model", type=str)
     sub.add_argument("-n", "--num-images", type=int, default=1)
     sub.add_argument(
         "-I",
@@ -60,6 +63,7 @@ class CLIImageCreateArgs(BaseModel):
     num_images: int
     size: str
     response_format: str
+    model: NotGivenOr[str] = NOT_GIVEN
 
 
 class CLIImageCreateVariationArgs(BaseModel):
@@ -67,6 +71,7 @@ class CLIImageCreateVariationArgs(BaseModel):
     num_images: int
     size: str
     response_format: str
+    model: NotGivenOr[str] = NOT_GIVEN
 
 
 class CLIImageEditArgs(BaseModel):
@@ -76,12 +81,14 @@ class CLIImageEditArgs(BaseModel):
     response_format: str
     prompt: str
     mask: NotGivenOr[str] = NOT_GIVEN
+    model: NotGivenOr[str] = NOT_GIVEN
 
 
 class CLIImage:
     @staticmethod
     def create(args: CLIImageCreateArgs) -> None:
         image = get_client().images.generate(
+            model=args.model,
             prompt=args.prompt,
             n=args.num_images,
             # casts required because the API is typed for enums
@@ -97,6 +104,7 @@ def create_variation(args: CLIImageCreateVariationArgs) -> None:
             buffer_reader = BufferReader(file_reader.read(), desc="Upload progress")
 
         image = get_client().images.create_variation(
+            model=args.model,
             image=("image", buffer_reader),
             n=args.num_images,
             # casts required because the API is typed for enums
@@ -118,6 +126,7 @@ def edit(args: CLIImageEditArgs) -> None:
                 mask = BufferReader(file_reader.read(), desc="Mask progress")
 
         image = get_client().images.edit(
+            model=args.model,
             prompt=args.prompt,
             image=("image", buffer_reader),
             n=args.num_images,
diff --git a/src/openai/resources/audio/transcriptions.py b/src/openai/resources/audio/transcriptions.py
index 2c167be395..275098ce88 100644
--- a/src/openai/resources/audio/transcriptions.py
+++ b/src/openai/resources/audio/transcriptions.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import Union, Mapping, cast
+from typing import List, Union, Mapping, cast
 from typing_extensions import Literal
 
 import httpx
@@ -39,6 +39,7 @@ def create(
         prompt: str | NotGiven = NOT_GIVEN,
         response_format: Literal["json", "text", "srt", "verbose_json", "vtt"] | NotGiven = NOT_GIVEN,
         temperature: float | NotGiven = NOT_GIVEN,
+        timestamp_granularities: List[Literal["word", "segment"]] | 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,
@@ -74,6 +75,10 @@ def create(
               [log probability](https://en.wikipedia.org/wiki/Log_probability) to
               automatically increase the temperature until certain thresholds are hit.
 
+          timestamp_granularities: The timestamp granularities to populate for this transcription. Any of these
+              options: `word`, or `segment`. Note: There is no additional latency for segment
+              timestamps, but generating word timestamps incurs additional latency.
+
           extra_headers: Send extra headers
 
           extra_query: Add additional query parameters to the request
@@ -90,6 +95,7 @@ def create(
                 "prompt": prompt,
                 "response_format": response_format,
                 "temperature": temperature,
+                "timestamp_granularities": timestamp_granularities,
             }
         )
         files = extract_files(cast(Mapping[str, object], body), paths=[["file"]])
@@ -127,6 +133,7 @@ async def create(
         prompt: str | NotGiven = NOT_GIVEN,
         response_format: Literal["json", "text", "srt", "verbose_json", "vtt"] | NotGiven = NOT_GIVEN,
         temperature: float | NotGiven = NOT_GIVEN,
+        timestamp_granularities: List[Literal["word", "segment"]] | 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,
@@ -162,6 +169,10 @@ async def create(
               [log probability](https://en.wikipedia.org/wiki/Log_probability) to
               automatically increase the temperature until certain thresholds are hit.
 
+          timestamp_granularities: The timestamp granularities to populate for this transcription. Any of these
+              options: `word`, or `segment`. Note: There is no additional latency for segment
+              timestamps, but generating word timestamps incurs additional latency.
+
           extra_headers: Send extra headers
 
           extra_query: Add additional query parameters to the request
@@ -178,6 +189,7 @@ async def create(
                 "prompt": prompt,
                 "response_format": response_format,
                 "temperature": temperature,
+                "timestamp_granularities": timestamp_granularities,
             }
         )
         files = extract_files(cast(Mapping[str, object], body), paths=[["file"]])
diff --git a/src/openai/resources/beta/assistants/assistants.py b/src/openai/resources/beta/assistants/assistants.py
index 3a2418ad90..e926c31642 100644
--- a/src/openai/resources/beta/assistants/assistants.py
+++ b/src/openai/resources/beta/assistants/assistants.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import List, Optional
+from typing import List, Iterable, Optional
 from typing_extensions import Literal
 
 import httpx
@@ -59,7 +59,7 @@ def create(
         instructions: Optional[str] | NotGiven = NOT_GIVEN,
         metadata: Optional[object] | NotGiven = NOT_GIVEN,
         name: Optional[str] | NotGiven = NOT_GIVEN,
-        tools: List[assistant_create_params.Tool] | NotGiven = NOT_GIVEN,
+        tools: Iterable[assistant_create_params.Tool] | 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,
@@ -169,7 +169,7 @@ def update(
         metadata: Optional[object] | NotGiven = NOT_GIVEN,
         model: str | NotGiven = NOT_GIVEN,
         name: Optional[str] | NotGiven = NOT_GIVEN,
-        tools: List[assistant_update_params.Tool] | NotGiven = NOT_GIVEN,
+        tools: Iterable[assistant_update_params.Tool] | 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,
@@ -362,7 +362,7 @@ async def create(
         instructions: Optional[str] | NotGiven = NOT_GIVEN,
         metadata: Optional[object] | NotGiven = NOT_GIVEN,
         name: Optional[str] | NotGiven = NOT_GIVEN,
-        tools: List[assistant_create_params.Tool] | NotGiven = NOT_GIVEN,
+        tools: Iterable[assistant_create_params.Tool] | 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,
@@ -472,7 +472,7 @@ async def update(
         metadata: Optional[object] | NotGiven = NOT_GIVEN,
         model: str | NotGiven = NOT_GIVEN,
         name: Optional[str] | NotGiven = NOT_GIVEN,
-        tools: List[assistant_update_params.Tool] | NotGiven = NOT_GIVEN,
+        tools: Iterable[assistant_update_params.Tool] | 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,
diff --git a/src/openai/resources/beta/threads/runs/runs.py b/src/openai/resources/beta/threads/runs/runs.py
index 0ed48b4792..9b18336010 100644
--- a/src/openai/resources/beta/threads/runs/runs.py
+++ b/src/openai/resources/beta/threads/runs/runs.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import List, Optional
+from typing import Iterable, Optional
 from typing_extensions import Literal
 
 import httpx
@@ -59,7 +59,7 @@ def create(
         instructions: Optional[str] | NotGiven = NOT_GIVEN,
         metadata: Optional[object] | NotGiven = NOT_GIVEN,
         model: Optional[str] | NotGiven = NOT_GIVEN,
-        tools: Optional[List[run_create_params.Tool]] | NotGiven = NOT_GIVEN,
+        tools: Optional[Iterable[run_create_params.Tool]] | 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,
@@ -316,7 +316,7 @@ def submit_tool_outputs(
         run_id: str,
         *,
         thread_id: str,
-        tool_outputs: List[run_submit_tool_outputs_params.ToolOutput],
+        tool_outputs: Iterable[run_submit_tool_outputs_params.ToolOutput],
         # 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,
@@ -380,7 +380,7 @@ async def create(
         instructions: Optional[str] | NotGiven = NOT_GIVEN,
         metadata: Optional[object] | NotGiven = NOT_GIVEN,
         model: Optional[str] | NotGiven = NOT_GIVEN,
-        tools: Optional[List[run_create_params.Tool]] | NotGiven = NOT_GIVEN,
+        tools: Optional[Iterable[run_create_params.Tool]] | 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,
@@ -637,7 +637,7 @@ async def submit_tool_outputs(
         run_id: str,
         *,
         thread_id: str,
-        tool_outputs: List[run_submit_tool_outputs_params.ToolOutput],
+        tool_outputs: Iterable[run_submit_tool_outputs_params.ToolOutput],
         # 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,
diff --git a/src/openai/resources/beta/threads/threads.py b/src/openai/resources/beta/threads/threads.py
index 0372ae2f66..dd079ac533 100644
--- a/src/openai/resources/beta/threads/threads.py
+++ b/src/openai/resources/beta/threads/threads.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import List, Optional
+from typing import Iterable, Optional
 
 import httpx
 
@@ -65,7 +65,7 @@ def with_streaming_response(self) -> ThreadsWithStreamingResponse:
     def create(
         self,
         *,
-        messages: List[thread_create_params.Message] | NotGiven = NOT_GIVEN,
+        messages: Iterable[thread_create_params.Message] | NotGiven = NOT_GIVEN,
         metadata: Optional[object] | 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.
@@ -227,7 +227,7 @@ def create_and_run(
         metadata: Optional[object] | NotGiven = NOT_GIVEN,
         model: Optional[str] | NotGiven = NOT_GIVEN,
         thread: thread_create_and_run_params.Thread | NotGiven = NOT_GIVEN,
-        tools: Optional[List[thread_create_and_run_params.Tool]] | NotGiven = NOT_GIVEN,
+        tools: Optional[Iterable[thread_create_and_run_params.Tool]] | 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,
@@ -310,7 +310,7 @@ def with_streaming_response(self) -> AsyncThreadsWithStreamingResponse:
     async def create(
         self,
         *,
-        messages: List[thread_create_params.Message] | NotGiven = NOT_GIVEN,
+        messages: Iterable[thread_create_params.Message] | NotGiven = NOT_GIVEN,
         metadata: Optional[object] | 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.
@@ -472,7 +472,7 @@ async def create_and_run(
         metadata: Optional[object] | NotGiven = NOT_GIVEN,
         model: Optional[str] | NotGiven = NOT_GIVEN,
         thread: thread_create_and_run_params.Thread | NotGiven = NOT_GIVEN,
-        tools: Optional[List[thread_create_and_run_params.Tool]] | NotGiven = NOT_GIVEN,
+        tools: Optional[Iterable[thread_create_and_run_params.Tool]] | 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,
diff --git a/src/openai/resources/chat/completions.py b/src/openai/resources/chat/completions.py
index 45521833ad..0011d75e6e 100644
--- a/src/openai/resources/chat/completions.py
+++ b/src/openai/resources/chat/completions.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import Dict, List, Union, Optional, overload
+from typing import Dict, List, Union, Iterable, Optional, overload
 from typing_extensions import Literal
 
 import httpx
@@ -42,7 +42,7 @@ def with_streaming_response(self) -> CompletionsWithStreamingResponse:
     def create(
         self,
         *,
-        messages: List[ChatCompletionMessageParam],
+        messages: Iterable[ChatCompletionMessageParam],
         model: Union[
             str,
             Literal[
@@ -61,12 +61,13 @@ def create(
                 "gpt-3.5-turbo-0301",
                 "gpt-3.5-turbo-0613",
                 "gpt-3.5-turbo-1106",
+                "gpt-3.5-turbo-0125",
                 "gpt-3.5-turbo-16k-0613",
             ],
         ],
         frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
         function_call: completion_create_params.FunctionCall | NotGiven = NOT_GIVEN,
-        functions: List[completion_create_params.Function] | NotGiven = NOT_GIVEN,
+        functions: Iterable[completion_create_params.Function] | NotGiven = NOT_GIVEN,
         logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN,
         logprobs: Optional[bool] | NotGiven = NOT_GIVEN,
         max_tokens: Optional[int] | NotGiven = NOT_GIVEN,
@@ -78,7 +79,7 @@ def create(
         stream: Optional[Literal[False]] | NotGiven = NOT_GIVEN,
         temperature: Optional[float] | NotGiven = NOT_GIVEN,
         tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN,
-        tools: List[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
+        tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
         top_logprobs: Optional[int] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
         user: str | NotGiven = NOT_GIVEN,
@@ -155,7 +156,7 @@ def create(
 
           response_format: An object specifying the format that the model must output. Compatible with
               [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and
-              `gpt-3.5-turbo-1106`.
+              all GPT-3.5 Turbo models newer than `gpt-3.5-turbo-1106`.
 
               Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the
               message the model generates is valid JSON.
@@ -231,7 +232,7 @@ def create(
     def create(
         self,
         *,
-        messages: List[ChatCompletionMessageParam],
+        messages: Iterable[ChatCompletionMessageParam],
         model: Union[
             str,
             Literal[
@@ -250,13 +251,14 @@ def create(
                 "gpt-3.5-turbo-0301",
                 "gpt-3.5-turbo-0613",
                 "gpt-3.5-turbo-1106",
+                "gpt-3.5-turbo-0125",
                 "gpt-3.5-turbo-16k-0613",
             ],
         ],
         stream: Literal[True],
         frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
         function_call: completion_create_params.FunctionCall | NotGiven = NOT_GIVEN,
-        functions: List[completion_create_params.Function] | NotGiven = NOT_GIVEN,
+        functions: Iterable[completion_create_params.Function] | NotGiven = NOT_GIVEN,
         logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN,
         logprobs: Optional[bool] | NotGiven = NOT_GIVEN,
         max_tokens: Optional[int] | NotGiven = NOT_GIVEN,
@@ -267,7 +269,7 @@ def create(
         stop: Union[Optional[str], List[str]] | NotGiven = NOT_GIVEN,
         temperature: Optional[float] | NotGiven = NOT_GIVEN,
         tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN,
-        tools: List[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
+        tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
         top_logprobs: Optional[int] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
         user: str | NotGiven = NOT_GIVEN,
@@ -351,7 +353,7 @@ def create(
 
           response_format: An object specifying the format that the model must output. Compatible with
               [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and
-              `gpt-3.5-turbo-1106`.
+              all GPT-3.5 Turbo models newer than `gpt-3.5-turbo-1106`.
 
               Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the
               message the model generates is valid JSON.
@@ -420,7 +422,7 @@ def create(
     def create(
         self,
         *,
-        messages: List[ChatCompletionMessageParam],
+        messages: Iterable[ChatCompletionMessageParam],
         model: Union[
             str,
             Literal[
@@ -439,13 +441,14 @@ def create(
                 "gpt-3.5-turbo-0301",
                 "gpt-3.5-turbo-0613",
                 "gpt-3.5-turbo-1106",
+                "gpt-3.5-turbo-0125",
                 "gpt-3.5-turbo-16k-0613",
             ],
         ],
         stream: bool,
         frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
         function_call: completion_create_params.FunctionCall | NotGiven = NOT_GIVEN,
-        functions: List[completion_create_params.Function] | NotGiven = NOT_GIVEN,
+        functions: Iterable[completion_create_params.Function] | NotGiven = NOT_GIVEN,
         logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN,
         logprobs: Optional[bool] | NotGiven = NOT_GIVEN,
         max_tokens: Optional[int] | NotGiven = NOT_GIVEN,
@@ -456,7 +459,7 @@ def create(
         stop: Union[Optional[str], List[str]] | NotGiven = NOT_GIVEN,
         temperature: Optional[float] | NotGiven = NOT_GIVEN,
         tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN,
-        tools: List[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
+        tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
         top_logprobs: Optional[int] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
         user: str | NotGiven = NOT_GIVEN,
@@ -540,7 +543,7 @@ def create(
 
           response_format: An object specifying the format that the model must output. Compatible with
               [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and
-              `gpt-3.5-turbo-1106`.
+              all GPT-3.5 Turbo models newer than `gpt-3.5-turbo-1106`.
 
               Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the
               message the model generates is valid JSON.
@@ -609,7 +612,7 @@ def create(
     def create(
         self,
         *,
-        messages: List[ChatCompletionMessageParam],
+        messages: Iterable[ChatCompletionMessageParam],
         model: Union[
             str,
             Literal[
@@ -628,12 +631,13 @@ def create(
                 "gpt-3.5-turbo-0301",
                 "gpt-3.5-turbo-0613",
                 "gpt-3.5-turbo-1106",
+                "gpt-3.5-turbo-0125",
                 "gpt-3.5-turbo-16k-0613",
             ],
         ],
         frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
         function_call: completion_create_params.FunctionCall | NotGiven = NOT_GIVEN,
-        functions: List[completion_create_params.Function] | NotGiven = NOT_GIVEN,
+        functions: Iterable[completion_create_params.Function] | NotGiven = NOT_GIVEN,
         logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN,
         logprobs: Optional[bool] | NotGiven = NOT_GIVEN,
         max_tokens: Optional[int] | NotGiven = NOT_GIVEN,
@@ -645,7 +649,7 @@ def create(
         stream: Optional[Literal[False]] | Literal[True] | NotGiven = NOT_GIVEN,
         temperature: Optional[float] | NotGiven = NOT_GIVEN,
         tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN,
-        tools: List[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
+        tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
         top_logprobs: Optional[int] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
         user: str | NotGiven = NOT_GIVEN,
@@ -705,7 +709,7 @@ def with_streaming_response(self) -> AsyncCompletionsWithStreamingResponse:
     async def create(
         self,
         *,
-        messages: List[ChatCompletionMessageParam],
+        messages: Iterable[ChatCompletionMessageParam],
         model: Union[
             str,
             Literal[
@@ -724,12 +728,13 @@ async def create(
                 "gpt-3.5-turbo-0301",
                 "gpt-3.5-turbo-0613",
                 "gpt-3.5-turbo-1106",
+                "gpt-3.5-turbo-0125",
                 "gpt-3.5-turbo-16k-0613",
             ],
         ],
         frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
         function_call: completion_create_params.FunctionCall | NotGiven = NOT_GIVEN,
-        functions: List[completion_create_params.Function] | NotGiven = NOT_GIVEN,
+        functions: Iterable[completion_create_params.Function] | NotGiven = NOT_GIVEN,
         logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN,
         logprobs: Optional[bool] | NotGiven = NOT_GIVEN,
         max_tokens: Optional[int] | NotGiven = NOT_GIVEN,
@@ -741,7 +746,7 @@ async def create(
         stream: Optional[Literal[False]] | NotGiven = NOT_GIVEN,
         temperature: Optional[float] | NotGiven = NOT_GIVEN,
         tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN,
-        tools: List[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
+        tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
         top_logprobs: Optional[int] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
         user: str | NotGiven = NOT_GIVEN,
@@ -818,7 +823,7 @@ async def create(
 
           response_format: An object specifying the format that the model must output. Compatible with
               [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and
-              `gpt-3.5-turbo-1106`.
+              all GPT-3.5 Turbo models newer than `gpt-3.5-turbo-1106`.
 
               Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the
               message the model generates is valid JSON.
@@ -894,7 +899,7 @@ async def create(
     async def create(
         self,
         *,
-        messages: List[ChatCompletionMessageParam],
+        messages: Iterable[ChatCompletionMessageParam],
         model: Union[
             str,
             Literal[
@@ -913,13 +918,14 @@ async def create(
                 "gpt-3.5-turbo-0301",
                 "gpt-3.5-turbo-0613",
                 "gpt-3.5-turbo-1106",
+                "gpt-3.5-turbo-0125",
                 "gpt-3.5-turbo-16k-0613",
             ],
         ],
         stream: Literal[True],
         frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
         function_call: completion_create_params.FunctionCall | NotGiven = NOT_GIVEN,
-        functions: List[completion_create_params.Function] | NotGiven = NOT_GIVEN,
+        functions: Iterable[completion_create_params.Function] | NotGiven = NOT_GIVEN,
         logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN,
         logprobs: Optional[bool] | NotGiven = NOT_GIVEN,
         max_tokens: Optional[int] | NotGiven = NOT_GIVEN,
@@ -930,7 +936,7 @@ async def create(
         stop: Union[Optional[str], List[str]] | NotGiven = NOT_GIVEN,
         temperature: Optional[float] | NotGiven = NOT_GIVEN,
         tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN,
-        tools: List[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
+        tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
         top_logprobs: Optional[int] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
         user: str | NotGiven = NOT_GIVEN,
@@ -1014,7 +1020,7 @@ async def create(
 
           response_format: An object specifying the format that the model must output. Compatible with
               [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and
-              `gpt-3.5-turbo-1106`.
+              all GPT-3.5 Turbo models newer than `gpt-3.5-turbo-1106`.
 
               Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the
               message the model generates is valid JSON.
@@ -1083,7 +1089,7 @@ async def create(
     async def create(
         self,
         *,
-        messages: List[ChatCompletionMessageParam],
+        messages: Iterable[ChatCompletionMessageParam],
         model: Union[
             str,
             Literal[
@@ -1102,13 +1108,14 @@ async def create(
                 "gpt-3.5-turbo-0301",
                 "gpt-3.5-turbo-0613",
                 "gpt-3.5-turbo-1106",
+                "gpt-3.5-turbo-0125",
                 "gpt-3.5-turbo-16k-0613",
             ],
         ],
         stream: bool,
         frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
         function_call: completion_create_params.FunctionCall | NotGiven = NOT_GIVEN,
-        functions: List[completion_create_params.Function] | NotGiven = NOT_GIVEN,
+        functions: Iterable[completion_create_params.Function] | NotGiven = NOT_GIVEN,
         logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN,
         logprobs: Optional[bool] | NotGiven = NOT_GIVEN,
         max_tokens: Optional[int] | NotGiven = NOT_GIVEN,
@@ -1119,7 +1126,7 @@ async def create(
         stop: Union[Optional[str], List[str]] | NotGiven = NOT_GIVEN,
         temperature: Optional[float] | NotGiven = NOT_GIVEN,
         tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN,
-        tools: List[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
+        tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
         top_logprobs: Optional[int] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
         user: str | NotGiven = NOT_GIVEN,
@@ -1203,7 +1210,7 @@ async def create(
 
           response_format: An object specifying the format that the model must output. Compatible with
               [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and
-              `gpt-3.5-turbo-1106`.
+              all GPT-3.5 Turbo models newer than `gpt-3.5-turbo-1106`.
 
               Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the
               message the model generates is valid JSON.
@@ -1272,7 +1279,7 @@ async def create(
     async def create(
         self,
         *,
-        messages: List[ChatCompletionMessageParam],
+        messages: Iterable[ChatCompletionMessageParam],
         model: Union[
             str,
             Literal[
@@ -1291,12 +1298,13 @@ async def create(
                 "gpt-3.5-turbo-0301",
                 "gpt-3.5-turbo-0613",
                 "gpt-3.5-turbo-1106",
+                "gpt-3.5-turbo-0125",
                 "gpt-3.5-turbo-16k-0613",
             ],
         ],
         frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
         function_call: completion_create_params.FunctionCall | NotGiven = NOT_GIVEN,
-        functions: List[completion_create_params.Function] | NotGiven = NOT_GIVEN,
+        functions: Iterable[completion_create_params.Function] | NotGiven = NOT_GIVEN,
         logit_bias: Optional[Dict[str, int]] | NotGiven = NOT_GIVEN,
         logprobs: Optional[bool] | NotGiven = NOT_GIVEN,
         max_tokens: Optional[int] | NotGiven = NOT_GIVEN,
@@ -1308,7 +1316,7 @@ async def create(
         stream: Optional[Literal[False]] | Literal[True] | NotGiven = NOT_GIVEN,
         temperature: Optional[float] | NotGiven = NOT_GIVEN,
         tool_choice: ChatCompletionToolChoiceOptionParam | NotGiven = NOT_GIVEN,
-        tools: List[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
+        tools: Iterable[ChatCompletionToolParam] | NotGiven = NOT_GIVEN,
         top_logprobs: Optional[int] | NotGiven = NOT_GIVEN,
         top_p: Optional[float] | NotGiven = NOT_GIVEN,
         user: str | NotGiven = NOT_GIVEN,
diff --git a/src/openai/resources/completions.py b/src/openai/resources/completions.py
index 3d2e10230a..af2d6e2e51 100644
--- a/src/openai/resources/completions.py
+++ b/src/openai/resources/completions.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import Dict, List, Union, Optional, overload
+from typing import Dict, List, Union, Iterable, Optional, overload
 from typing_extensions import Literal
 
 import httpx
@@ -36,7 +36,7 @@ def create(
         self,
         *,
         model: Union[str, Literal["gpt-3.5-turbo-instruct", "davinci-002", "babbage-002"]],
-        prompt: Union[str, List[str], List[int], List[List[int]], None],
+        prompt: Union[str, List[str], Iterable[int], Iterable[Iterable[int]], None],
         best_of: Optional[int] | NotGiven = NOT_GIVEN,
         echo: Optional[bool] | NotGiven = NOT_GIVEN,
         frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
@@ -184,7 +184,7 @@ def create(
         self,
         *,
         model: Union[str, Literal["gpt-3.5-turbo-instruct", "davinci-002", "babbage-002"]],
-        prompt: Union[str, List[str], List[int], List[List[int]], None],
+        prompt: Union[str, List[str], Iterable[int], Iterable[Iterable[int]], None],
         stream: Literal[True],
         best_of: Optional[int] | NotGiven = NOT_GIVEN,
         echo: Optional[bool] | NotGiven = NOT_GIVEN,
@@ -332,7 +332,7 @@ def create(
         self,
         *,
         model: Union[str, Literal["gpt-3.5-turbo-instruct", "davinci-002", "babbage-002"]],
-        prompt: Union[str, List[str], List[int], List[List[int]], None],
+        prompt: Union[str, List[str], Iterable[int], Iterable[Iterable[int]], None],
         stream: bool,
         best_of: Optional[int] | NotGiven = NOT_GIVEN,
         echo: Optional[bool] | NotGiven = NOT_GIVEN,
@@ -480,7 +480,7 @@ def create(
         self,
         *,
         model: Union[str, Literal["gpt-3.5-turbo-instruct", "davinci-002", "babbage-002"]],
-        prompt: Union[str, List[str], List[int], List[List[int]], None],
+        prompt: Union[str, List[str], Iterable[int], Iterable[Iterable[int]], None],
         best_of: Optional[int] | NotGiven = NOT_GIVEN,
         echo: Optional[bool] | NotGiven = NOT_GIVEN,
         frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
@@ -550,7 +550,7 @@ async def create(
         self,
         *,
         model: Union[str, Literal["gpt-3.5-turbo-instruct", "davinci-002", "babbage-002"]],
-        prompt: Union[str, List[str], List[int], List[List[int]], None],
+        prompt: Union[str, List[str], Iterable[int], Iterable[Iterable[int]], None],
         best_of: Optional[int] | NotGiven = NOT_GIVEN,
         echo: Optional[bool] | NotGiven = NOT_GIVEN,
         frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
@@ -698,7 +698,7 @@ async def create(
         self,
         *,
         model: Union[str, Literal["gpt-3.5-turbo-instruct", "davinci-002", "babbage-002"]],
-        prompt: Union[str, List[str], List[int], List[List[int]], None],
+        prompt: Union[str, List[str], Iterable[int], Iterable[Iterable[int]], None],
         stream: Literal[True],
         best_of: Optional[int] | NotGiven = NOT_GIVEN,
         echo: Optional[bool] | NotGiven = NOT_GIVEN,
@@ -846,7 +846,7 @@ async def create(
         self,
         *,
         model: Union[str, Literal["gpt-3.5-turbo-instruct", "davinci-002", "babbage-002"]],
-        prompt: Union[str, List[str], List[int], List[List[int]], None],
+        prompt: Union[str, List[str], Iterable[int], Iterable[Iterable[int]], None],
         stream: bool,
         best_of: Optional[int] | NotGiven = NOT_GIVEN,
         echo: Optional[bool] | NotGiven = NOT_GIVEN,
@@ -994,7 +994,7 @@ async def create(
         self,
         *,
         model: Union[str, Literal["gpt-3.5-turbo-instruct", "davinci-002", "babbage-002"]],
-        prompt: Union[str, List[str], List[int], List[List[int]], None],
+        prompt: Union[str, List[str], Iterable[int], Iterable[Iterable[int]], None],
         best_of: Optional[int] | NotGiven = NOT_GIVEN,
         echo: Optional[bool] | NotGiven = NOT_GIVEN,
         frequency_penalty: Optional[float] | NotGiven = NOT_GIVEN,
diff --git a/src/openai/resources/embeddings.py b/src/openai/resources/embeddings.py
index 857bfc7702..cfef025bc2 100644
--- a/src/openai/resources/embeddings.py
+++ b/src/openai/resources/embeddings.py
@@ -3,7 +3,7 @@
 from __future__ import annotations
 
 import base64
-from typing import List, Union, cast
+from typing import List, Union, Iterable, cast
 from typing_extensions import Literal
 
 import httpx
@@ -35,7 +35,7 @@ def with_streaming_response(self) -> EmbeddingsWithStreamingResponse:
     def create(
         self,
         *,
-        input: Union[str, List[str], List[int], List[List[int]]],
+        input: Union[str, List[str], Iterable[int], Iterable[Iterable[int]]],
         model: Union[str, Literal["text-embedding-ada-002", "text-embedding-3-small", "text-embedding-3-large"]],
         dimensions: int | NotGiven = NOT_GIVEN,
         encoding_format: Literal["float", "base64"] | NotGiven = NOT_GIVEN,
@@ -136,7 +136,7 @@ def with_streaming_response(self) -> AsyncEmbeddingsWithStreamingResponse:
     async def create(
         self,
         *,
-        input: Union[str, List[str], List[int], List[List[int]]],
+        input: Union[str, List[str], Iterable[int], Iterable[Iterable[int]]],
         model: Union[str, Literal["text-embedding-ada-002", "text-embedding-3-small", "text-embedding-3-large"]],
         dimensions: int | NotGiven = NOT_GIVEN,
         encoding_format: Literal["float", "base64"] | NotGiven = NOT_GIVEN,
diff --git a/src/openai/types/audio/transcription_create_params.py b/src/openai/types/audio/transcription_create_params.py
index 7bd70d7b48..5a90822144 100644
--- a/src/openai/types/audio/transcription_create_params.py
+++ b/src/openai/types/audio/transcription_create_params.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import Union
+from typing import List, Union
 from typing_extensions import Literal, Required, TypedDict
 
 from ..._types import FileTypes
@@ -50,3 +50,11 @@ class TranscriptionCreateParams(TypedDict, total=False):
     [log probability](https://en.wikipedia.org/wiki/Log_probability) to
     automatically increase the temperature until certain thresholds are hit.
     """
+
+    timestamp_granularities: List[Literal["word", "segment"]]
+    """The timestamp granularities to populate for this transcription.
+
+    Any of these options: `word`, or `segment`. Note: There is no additional latency
+    for segment timestamps, but generating word timestamps incurs additional
+    latency.
+    """
diff --git a/src/openai/types/beta/assistant_create_params.py b/src/openai/types/beta/assistant_create_params.py
index 539897a7ba..c49d6f6950 100644
--- a/src/openai/types/beta/assistant_create_params.py
+++ b/src/openai/types/beta/assistant_create_params.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import List, Union, Optional
+from typing import List, Union, Iterable, Optional
 from typing_extensions import Literal, Required, TypedDict
 
 from ...types import shared_params
@@ -54,7 +54,7 @@ class AssistantCreateParams(TypedDict, total=False):
     name: Optional[str]
     """The name of the assistant. The maximum length is 256 characters."""
 
-    tools: List[Tool]
+    tools: Iterable[Tool]
     """A list of tool enabled on the assistant.
 
     There can be a maximum of 128 tools per assistant. Tools can be of types
diff --git a/src/openai/types/beta/assistant_update_params.py b/src/openai/types/beta/assistant_update_params.py
index dfb5d4c553..c5ccde62c5 100644
--- a/src/openai/types/beta/assistant_update_params.py
+++ b/src/openai/types/beta/assistant_update_params.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import List, Union, Optional
+from typing import List, Union, Iterable, Optional
 from typing_extensions import Literal, Required, TypedDict
 
 from ...types import shared_params
@@ -56,7 +56,7 @@ class AssistantUpdateParams(TypedDict, total=False):
     name: Optional[str]
     """The name of the assistant. The maximum length is 256 characters."""
 
-    tools: List[Tool]
+    tools: Iterable[Tool]
     """A list of tool enabled on the assistant.
 
     There can be a maximum of 128 tools per assistant. Tools can be of types
diff --git a/src/openai/types/beta/thread_create_and_run_params.py b/src/openai/types/beta/thread_create_and_run_params.py
index 9f58dcd875..cc1051b3d6 100644
--- a/src/openai/types/beta/thread_create_and_run_params.py
+++ b/src/openai/types/beta/thread_create_and_run_params.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import List, Union, Optional
+from typing import List, Union, Iterable, Optional
 from typing_extensions import Literal, Required, TypedDict
 
 from ...types import shared_params
@@ -51,7 +51,7 @@ class ThreadCreateAndRunParams(TypedDict, total=False):
     thread: Thread
     """If no thread is provided, an empty thread will be created."""
 
-    tools: Optional[List[Tool]]
+    tools: Optional[Iterable[Tool]]
     """Override the tools the assistant can use for this run.
 
     This is useful for modifying the behavior on a per-run basis.
@@ -86,7 +86,7 @@ class ThreadMessage(TypedDict, total=False):
 
 
 class Thread(TypedDict, total=False):
-    messages: List[ThreadMessage]
+    messages: Iterable[ThreadMessage]
     """
     A list of [messages](https://platform.openai.com/docs/api-reference/messages) to
     start the thread with.
diff --git a/src/openai/types/beta/thread_create_params.py b/src/openai/types/beta/thread_create_params.py
index d2ec78bbc3..e78276e839 100644
--- a/src/openai/types/beta/thread_create_params.py
+++ b/src/openai/types/beta/thread_create_params.py
@@ -2,14 +2,14 @@
 
 from __future__ import annotations
 
-from typing import List, Optional
+from typing import List, Iterable, Optional
 from typing_extensions import Literal, Required, TypedDict
 
 __all__ = ["ThreadCreateParams", "Message"]
 
 
 class ThreadCreateParams(TypedDict, total=False):
-    messages: List[Message]
+    messages: Iterable[Message]
     """
     A list of [messages](https://platform.openai.com/docs/api-reference/messages) to
     start the thread with.
diff --git a/src/openai/types/beta/threads/run_create_params.py b/src/openai/types/beta/threads/run_create_params.py
index a4f41a9338..b92649aa06 100644
--- a/src/openai/types/beta/threads/run_create_params.py
+++ b/src/openai/types/beta/threads/run_create_params.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import List, Union, Optional
+from typing import Union, Iterable, Optional
 from typing_extensions import Literal, Required, TypedDict
 
 from ....types import shared_params
@@ -54,7 +54,7 @@ class RunCreateParams(TypedDict, total=False):
     assistant will be used.
     """
 
-    tools: Optional[List[Tool]]
+    tools: Optional[Iterable[Tool]]
     """Override the tools the assistant can use for this run.
 
     This is useful for modifying the behavior on a per-run basis.
diff --git a/src/openai/types/beta/threads/run_submit_tool_outputs_params.py b/src/openai/types/beta/threads/run_submit_tool_outputs_params.py
index a960f0f06f..3b303a33fc 100644
--- a/src/openai/types/beta/threads/run_submit_tool_outputs_params.py
+++ b/src/openai/types/beta/threads/run_submit_tool_outputs_params.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import List
+from typing import Iterable
 from typing_extensions import Required, TypedDict
 
 __all__ = ["RunSubmitToolOutputsParams", "ToolOutput"]
@@ -11,7 +11,7 @@
 class RunSubmitToolOutputsParams(TypedDict, total=False):
     thread_id: Required[str]
 
-    tool_outputs: Required[List[ToolOutput]]
+    tool_outputs: Required[Iterable[ToolOutput]]
     """A list of tools for which the outputs are being submitted."""
 
 
diff --git a/src/openai/types/chat/chat_completion_assistant_message_param.py b/src/openai/types/chat/chat_completion_assistant_message_param.py
index 72a5bff83b..7377139bf5 100644
--- a/src/openai/types/chat/chat_completion_assistant_message_param.py
+++ b/src/openai/types/chat/chat_completion_assistant_message_param.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import List, Optional
+from typing import Iterable, Optional
 from typing_extensions import Literal, Required, TypedDict
 
 from .chat_completion_message_tool_call_param import ChatCompletionMessageToolCallParam
@@ -47,5 +47,5 @@ class ChatCompletionAssistantMessageParam(TypedDict, total=False):
     role.
     """
 
-    tool_calls: List[ChatCompletionMessageToolCallParam]
+    tool_calls: Iterable[ChatCompletionMessageToolCallParam]
     """The tool calls generated by the model, such as function calls."""
diff --git a/src/openai/types/chat/chat_completion_user_message_param.py b/src/openai/types/chat/chat_completion_user_message_param.py
index 07be67c405..cb8ca19bf0 100644
--- a/src/openai/types/chat/chat_completion_user_message_param.py
+++ b/src/openai/types/chat/chat_completion_user_message_param.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import List, Union
+from typing import Union, Iterable
 from typing_extensions import Literal, Required, TypedDict
 
 from .chat_completion_content_part_param import ChatCompletionContentPartParam
@@ -11,7 +11,7 @@
 
 
 class ChatCompletionUserMessageParam(TypedDict, total=False):
-    content: Required[Union[str, List[ChatCompletionContentPartParam]]]
+    content: Required[Union[str, Iterable[ChatCompletionContentPartParam]]]
     """The contents of the user message."""
 
     role: Required[Literal["user"]]
diff --git a/src/openai/types/chat/completion_create_params.py b/src/openai/types/chat/completion_create_params.py
index 3ea14d82b3..e02a81bc51 100644
--- a/src/openai/types/chat/completion_create_params.py
+++ b/src/openai/types/chat/completion_create_params.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import Dict, List, Union, Optional
+from typing import Dict, List, Union, Iterable, Optional
 from typing_extensions import Literal, Required, TypedDict
 
 from ...types import shared_params
@@ -22,7 +22,7 @@
 
 
 class CompletionCreateParamsBase(TypedDict, total=False):
-    messages: Required[List[ChatCompletionMessageParam]]
+    messages: Required[Iterable[ChatCompletionMessageParam]]
     """A list of messages comprising the conversation so far.
 
     [Example Python code](https://cookbook.openai.com/examples/how_to_format_inputs_to_chatgpt_models).
@@ -47,6 +47,7 @@ class CompletionCreateParamsBase(TypedDict, total=False):
                 "gpt-3.5-turbo-0301",
                 "gpt-3.5-turbo-0613",
                 "gpt-3.5-turbo-1106",
+                "gpt-3.5-turbo-0125",
                 "gpt-3.5-turbo-16k-0613",
             ],
         ]
@@ -80,7 +81,7 @@ class CompletionCreateParamsBase(TypedDict, total=False):
     functions are present.
     """
 
-    functions: List[Function]
+    functions: Iterable[Function]
     """Deprecated in favor of `tools`.
 
     A list of functions the model may generate JSON inputs for.
@@ -137,7 +138,7 @@ class CompletionCreateParamsBase(TypedDict, total=False):
 
     Compatible with
     [GPT-4 Turbo](https://platform.openai.com/docs/models/gpt-4-and-gpt-4-turbo) and
-    `gpt-3.5-turbo-1106`.
+    all GPT-3.5 Turbo models newer than `gpt-3.5-turbo-1106`.
 
     Setting to `{ "type": "json_object" }` enables JSON mode, which guarantees the
     message the model generates is valid JSON.
@@ -185,7 +186,7 @@ class CompletionCreateParamsBase(TypedDict, total=False):
     functions are present.
     """
 
-    tools: List[ChatCompletionToolParam]
+    tools: Iterable[ChatCompletionToolParam]
     """A list of tools the model may call.
 
     Currently, only functions are supported as a tool. Use this to provide a list of
diff --git a/src/openai/types/completion_create_params.py b/src/openai/types/completion_create_params.py
index e14c2860df..afbc9c549f 100644
--- a/src/openai/types/completion_create_params.py
+++ b/src/openai/types/completion_create_params.py
@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from typing import Dict, List, Union, Optional
+from typing import Dict, List, Union, Iterable, Optional
 from typing_extensions import Literal, Required, TypedDict
 
 __all__ = ["CompletionCreateParamsBase", "CompletionCreateParamsNonStreaming", "CompletionCreateParamsStreaming"]
@@ -19,7 +19,7 @@ class CompletionCreateParamsBase(TypedDict, total=False):
     descriptions of them.
     """
 
-    prompt: Required[Union[str, List[str], List[int], List[List[int]], None]]
+    prompt: Required[Union[str, List[str], Iterable[int], Iterable[Iterable[int]], None]]
     """
     The prompt(s) to generate completions for, encoded as a string, array of
     strings, array of tokens, or array of token arrays.
diff --git a/src/openai/types/embedding_create_params.py b/src/openai/types/embedding_create_params.py
index 66ac60511c..a549dc94c4 100644
--- a/src/openai/types/embedding_create_params.py
+++ b/src/openai/types/embedding_create_params.py
@@ -2,14 +2,14 @@
 
 from __future__ import annotations
 
-from typing import List, Union
+from typing import List, Union, Iterable
 from typing_extensions import Literal, Required, TypedDict
 
 __all__ = ["EmbeddingCreateParams"]
 
 
 class EmbeddingCreateParams(TypedDict, total=False):
-    input: Required[Union[str, List[str], List[int], List[List[int]]]]
+    input: Required[Union[str, List[str], Iterable[int], Iterable[Iterable[int]]]]
     """Input text to embed, encoded as a string or array of tokens.
 
     To embed multiple inputs in a single request, pass an array of strings or array
diff --git a/tests/api_resources/audio/test_transcriptions.py b/tests/api_resources/audio/test_transcriptions.py
index d957871abc..80e364b484 100644
--- a/tests/api_resources/audio/test_transcriptions.py
+++ b/tests/api_resources/audio/test_transcriptions.py
@@ -34,6 +34,7 @@ def test_method_create_with_all_params(self, client: OpenAI) -> None:
             prompt="string",
             response_format="json",
             temperature=0,
+            timestamp_granularities=["word", "segment"],
         )
         assert_matches_type(Transcription, transcription, path=["response"])
 
@@ -84,6 +85,7 @@ async def test_method_create_with_all_params(self, async_client: AsyncOpenAI) ->
             prompt="string",
             response_format="json",
             temperature=0,
+            timestamp_granularities=["word", "segment"],
         )
         assert_matches_type(Transcription, transcription, path=["response"])
 
diff --git a/tests/test_transform.py b/tests/test_transform.py
index c4dffb3bb0..6ed67d49a7 100644
--- a/tests/test_transform.py
+++ b/tests/test_transform.py
@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import Any, List, Union, Optional
+from typing import Any, List, Union, Iterable, Optional, cast
 from datetime import date, datetime
 from typing_extensions import Required, Annotated, TypedDict
 
@@ -265,3 +265,35 @@ def test_pydantic_default_field() -> None:
     assert model.with_none_default == "bar"
     assert model.with_str_default == "baz"
     assert transform(model, Any) == {"with_none_default": "bar", "with_str_default": "baz"}
+
+
+class TypedDictIterableUnion(TypedDict):
+    foo: Annotated[Union[Bar8, Iterable[Baz8]], PropertyInfo(alias="FOO")]
+
+
+class Bar8(TypedDict):
+    foo_bar: Annotated[str, PropertyInfo(alias="fooBar")]
+
+
+class Baz8(TypedDict):
+    foo_baz: Annotated[str, PropertyInfo(alias="fooBaz")]
+
+
+def test_iterable_of_dictionaries() -> None:
+    assert transform({"foo": [{"foo_baz": "bar"}]}, TypedDictIterableUnion) == {"FOO": [{"fooBaz": "bar"}]}
+    assert cast(Any, transform({"foo": ({"foo_baz": "bar"},)}, TypedDictIterableUnion)) == {"FOO": [{"fooBaz": "bar"}]}
+
+    def my_iter() -> Iterable[Baz8]:
+        yield {"foo_baz": "hello"}
+        yield {"foo_baz": "world"}
+
+    assert transform({"foo": my_iter()}, TypedDictIterableUnion) == {"FOO": [{"fooBaz": "hello"}, {"fooBaz": "world"}]}
+
+
+class TypedDictIterableUnionStr(TypedDict):
+    foo: Annotated[Union[str, Iterable[Baz8]], PropertyInfo(alias="FOO")]
+
+
+def test_iterable_union_str() -> None:
+    assert transform({"foo": "bar"}, TypedDictIterableUnionStr) == {"FOO": "bar"}
+    assert cast(Any, transform(iter([{"foo_baz": "bar"}]), Union[str, Iterable[Baz8]])) == [{"fooBaz": "bar"}]