fix(python-sdk): temporarily remove async types

sdks/python/julep/api/client.py

@@ -80,9 +80,9 @@ def __init__(
         self._client_wrapper = SyncClientWrapper(
             base_url=_get_base_url(base_url=base_url, environment=environment),
             api_key=api_key,
-            httpx_client=httpx.Client(timeout=timeout)
-            if httpx_client is None
-            else httpx_client,
+            httpx_client=(
+                httpx.Client(timeout=timeout) if httpx_client is None else httpx_client
+            ),
         )
 
     def list_sessions(
@@ -1838,9 +1838,11 @@ def __init__(
         self._client_wrapper = AsyncClientWrapper(
             base_url=_get_base_url(base_url=base_url, environment=environment),
             api_key=api_key,
-            httpx_client=httpx.AsyncClient(timeout=timeout)
-            if httpx_client is None
-            else httpx_client,
+            httpx_client=(
+                httpx.AsyncClient(timeout=timeout)
+                if httpx_client is None
+                else httpx_client
+            ),
         )
 
     async def list_sessions(

sdks/python/julep/api/types/chat_settings.py

@@ -21,13 +21,13 @@ class ChatSettings(pydantic.BaseModel):
     length_penalty: typing.Optional[float] = pydantic.Field(
         description="(Huggingface-like) Number between 0 and 2.0. 1.0 is neutral and values larger than that penalize number of tokens generated."
     )
-    logit_bias: typing.Optional[
-        typing.Dict[str, typing.Optional[int]]
-    ] = pydantic.Field(
-        description=(
-            "Modify the likelihood of specified tokens appearing in the completion.\n"
-            "\n"
-            "Accepts a JSON object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.\n"
+    logit_bias: typing.Optional[typing.Dict[str, typing.Optional[int]]] = (
+        pydantic.Field(
+            description=(
+                "Modify the likelihood of specified tokens appearing in the completion.\n"
+                "\n"
+                "Accepts a JSON object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.\n"
+            )
         )
     )
     max_tokens: typing.Optional[int] = pydantic.Field(

sdks/python/pyproject.toml

@@ -17,7 +17,7 @@ typing-extensions = ">=4.0.0,<5.0.0"
 
 
 [tool.poetry.group.dev.dependencies]
-pytype = ">=2024.4.11"
+pytype = "2024.1.5"
 black = "^24.4.0"
 ward = "^0.68.0b0"
 ruff = "^0.1.13"