fix(python-sdk): temporarily remove async types

agents-api/agents_api/__init__.py

@@ -1,6 +1,7 @@
 """
 The `agents_api` module serves as the foundation of the agent management system within the `agents-api` project. This module is responsible for defining the structure and capabilities of the API that manages agents. It includes operations such as creating, updating, listing, and deleting agents, as well as managing documents and tools associated with these agents. This file, in particular, acts as a configuration and initialization point for the `agents_api` package, and as per the directive, should not contain any imports.
 """
+
 #################################
 ## Do NOT put any imports here ##
 #################################

agents-api/agents_api/activities/types.py

@@ -25,12 +25,10 @@ class ChatML(BaseModel):
     token_count: Optional[int] = None
 
 
-class BaseTask(BaseModel):
-    ...
+class BaseTask(BaseModel): ...
 
 
-class BaseTaskArgs(BaseModel):
-    ...
+class BaseTaskArgs(BaseModel): ...
 
 
 class AddPrinciplesTaskArgs(BaseTaskArgs):

agents-api/agents_api/clients/worker/types.py

@@ -25,12 +25,10 @@ class ChatML(BaseModel):
     token_count: Optional[int] = None
 
 
-class BaseTask(BaseModel):
-    ...
+class BaseTask(BaseModel): ...
 
 
-class BaseTaskArgs(BaseModel):
-    ...
+class BaseTaskArgs(BaseModel): ...
 
 
 class MemoryManagementTaskArgs(BaseTaskArgs):

agents-api/agents_api/common/exceptions/sessions.py

@@ -3,6 +3,7 @@
 
 These exceptions are used throughout the agents API to handle errors related to session operations, such as when a requested session cannot be found.
 """
+
 from uuid import UUID
 from . import BaseCommonException
 

agents-api/agents_api/common/protocol/agents.py

@@ -17,4 +17,4 @@ class AgentDefaultSettings(BaseModel):
     """Penalty that decreases the likelihood of frequently used words in the agent's responses."""
     frequency_penalty: float = 0.0
     """Minimum probability threshold for including a word in the agent's response."""
-    min_p: float = 0.01
+    min_p: float = 0.01

agents-api/agents_api/common/protocol/sessions.py

@@ -2,6 +2,7 @@
 This module defines session-related data structures and settings used across the agents API.
 It includes definitions for session settings and session data models.
 """
+
 from uuid import UUID
 
 from pydantic import BaseModel, validator

agents-api/agents_api/common/utils/json.py

@@ -1,4 +1,5 @@
 """This module provides JSON utilities, including a custom JSON encoder for handling specific object types and a utility function for JSON serialization."""
+
 import json
 from uuid import UUID
 from typing import Any

agents-api/agents_api/env.py

@@ -2,6 +2,7 @@
 This module is responsible for loading and providing access to environment variables used throughout the agents-api application.
 It utilizes the environs library for environment variable parsing.
 """
+
 from pprint import pprint
 from environs import Env
 

agents-api/agents_api/model_registry.py

@@ -1,6 +1,7 @@
 """
 Model Registry maintains a list of supported models and their configs.
 """
+
 from typing import Dict
 from agents_api.clients.model import julep_client, openai_client
 from openai import AsyncOpenAI

agents-api/agents_api/models/agent/create_agent.py

@@ -102,4 +102,4 @@ def create_agent_query(
             "metadata": metadata,
             "instructions": instructions,
         },
-    )
+    )

agents-api/agents_api/models/docs/list_docs.py

@@ -1,4 +1,5 @@
 """This module contains functions for querying document-related data from the 'cozodb' database using datalog queries."""
+
 from typing import Literal
 from uuid import UUID
 

agents-api/agents_api/models/entry/test_entry_queries.py

@@ -2,6 +2,7 @@
 This module contains tests for entry queries against the CozoDB database.
 It verifies the functionality of adding, retrieving, and processing entries as defined in the schema.
 """
+
 # Tests for entry queries
 from uuid import uuid4
 

agents-api/agents_api/models/session/create_session.py

@@ -2,6 +2,7 @@
 This module contains the functionality for creating a new session in the 'cozodb' database.
 It constructs and executes a datalog query to insert session data.
 """
+
 from uuid import UUID
 
 import pandas as pd

agents-api/agents_api/models/session/test_session_queries.py

@@ -1,6 +1,7 @@
 """
 This module contains tests for session-related queries against the 'cozodb' database. It verifies the creation, retrieval, and deletion of session records as defined in the schema provided in agents-api/README.md.
 """
+
 # Tests for session queries
 from uuid import uuid4
 

agents-api/agents_api/models/user/create_user.py

@@ -2,6 +2,7 @@
 This module contains the functionality for creating a new user in the CozoDB database.
 It defines a query for inserting user data into the 'users' relation.
 """
+
 from uuid import UUID
 
 import pandas as pd

agents-api/agents_api/models/user/test_user_queries.py

@@ -1,4 +1,5 @@
 """This module contains tests for user-related queries against the 'cozodb' database. It includes tests for creating, updating, and retrieving user information."""
+
 # Tests for user queries
 from uuid import uuid4
 

agents-api/agents_api/web.py

@@ -1,6 +1,7 @@
 """
 This module initializes the FastAPI application, registers routes, sets up middleware, and configures exception handlers.
 """
+
 import fire
 import uvicorn
 import logging

agents-api/agents_api/worker/__main__.py

@@ -2,6 +2,7 @@
 This script initializes and runs a Temporal worker that listens for tasks on a specified queue.
 It supports various workflows and activities related to agents' operations.
 """
+
 #!/usr/bin/env python3
 
 import asyncio

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(