refactor(agent/openai): Upgrade OpenAI library to v1

- Update `openai` dependency from ^v0.27.10 to ^v1.7.2
- Update poetry.lock
- Update code for changed endpoints and new output types of OpenAI library
- Replace uses of `AssistantChatMessageDict` by `AssistantChatMessage`
   - Update `PromptStrategy`, `BaseAgent`, and all of their subclasses accordingly
- Update `OpenAIProvider`, `OpenAICredentials`, azure.yaml.template, .env.template and test_config.py to work with new separate `AzureOpenAI` client
- Remove `_OpenAIRetryHandler` and implement retry mechanism with `tenacity`
- Rewrite pytest fixture `cached_openai_client` (renamed from `patched_api_requestor`) for OpenAI v1 library

28 files changed, 2187 insertions, 1713 deletions

diff --git a/autogpts/autogpt/.env.template b/autogpts/autogpt/.env.template
index 251e9e3fb..9ec564a5d 100644
--- a/autogpts/autogpt/.env.template
+++ b/autogpts/autogpt/.env.template
@@ -76,9 +76,11 @@ OPENAI_API_KEY=your-openai-api-key
 ## USE_AZURE - Use Azure OpenAI or not (Default: False)
 # USE_AZURE=False
 
-## AZURE_CONFIG_FILE - The path to the azure.yaml file, relative to the AutoGPT root directory. (Default: azure.yaml)
+## AZURE_CONFIG_FILE - The path to the azure.yaml file, relative to the folder containing this file. (Default: azure.yaml)
 # AZURE_CONFIG_FILE=azure.yaml
 
+# AZURE_OPENAI_AD_TOKEN=
+# AZURE_OPENAI_ENDPOINT=
 
 ################################################################################
 ### LLM MODELS
diff --git a/autogpts/autogpt/autogpt/agent_factory/profile_generator.py b/autogpts/autogpt/autogpt/agent_factory/profile_generator.py
index fd0e947f1..8d9ff399e 100644
--- a/autogpts/autogpt/autogpt/agent_factory/profile_generator.py
+++ b/autogpts/autogpt/autogpt/agent_factory/profile_generator.py
@@ -10,7 +10,7 @@ from autogpt.core.prompting import (
 )
 from autogpt.core.prompting.utils import json_loads
 from autogpt.core.resource.model_providers.schema import (
-    AssistantChatMessageDict,
+    AssistantChatMessage,
     ChatMessage,
     ChatModelProvider,
     CompletionModelFunction,
@@ -186,7 +186,7 @@ class AgentProfileGenerator(PromptStrategy):
 
     def parse_response_content(
         self,
-        response_content: AssistantChatMessageDict,
+        response_content: AssistantChatMessage,
     ) -> tuple[AIProfile, AIDirectives]:
         """Parse the actual text response from the objective model.
 
@@ -198,16 +198,21 @@ class AgentProfileGenerator(PromptStrategy):
 
         """
         try:
-            arguments = json_loads(
-                response_content["tool_calls"][0]["function"]["arguments"]
+            if not response_content.tool_calls:
+                raise ValueError(
+                    f"LLM did not call {self._create_agent_function.name} function; "
+                    "agent profile creation failed"
+                )
+            arguments: object = json_loads(
+                response_content.tool_calls[0].function.arguments
             )
             ai_profile = AIProfile(
                 ai_name=arguments.get("name"),
                 ai_role=arguments.get("description"),
             )
             ai_directives = AIDirectives(
-                best_practices=arguments["directives"].get("best_practices"),
-                constraints=arguments["directives"].get("constraints"),
+                best_practices=arguments.get("directives", {}).get("best_practices"),
+                constraints=arguments.get("directives", {}).get("constraints"),
                 resources=[],
             )
         except KeyError:
diff --git a/autogpts/autogpt/autogpt/agents/agent.py b/autogpts/autogpt/autogpt/agents/agent.py
index bcb4d1a79..8847ae7f2 100644
--- a/autogpts/autogpt/autogpt/agents/agent.py
+++ b/autogpts/autogpt/autogpt/agents/agent.py
@@ -15,7 +15,7 @@ from pydantic import Field
 from autogpt.core.configuration import Configurable
 from autogpt.core.prompting import ChatPrompt
 from autogpt.core.resource.model_providers import (
-    AssistantChatMessageDict,
+    AssistantChatMessage,
     ChatMessage,
     ChatModelProvider,
 )
@@ -172,14 +172,12 @@ class Agent(
         return prompt
 
     def parse_and_process_response(
-        self, llm_response: AssistantChatMessageDict, *args, **kwargs
+        self, llm_response: AssistantChatMessage, *args, **kwargs
     ) -> Agent.ThoughtProcessOutput:
         for plugin in self.config.plugins:
             if not plugin.can_handle_post_planning():
                 continue
-            llm_response["content"] = plugin.post_planning(
-                llm_response.get("content", "")
-            )
+            llm_response.content = plugin.post_planning(llm_response.content or "")
 
         (
             command_name,
diff --git a/autogpts/autogpt/autogpt/agents/base.py b/autogpts/autogpt/autogpt/agents/base.py
index 7bd118e03..846427ae7 100644
--- a/autogpts/autogpt/autogpt/agents/base.py
+++ b/autogpts/autogpt/autogpt/agents/base.py
@@ -12,7 +12,7 @@ if TYPE_CHECKING:
     from autogpt.config import Config
     from autogpt.core.prompting.base import PromptStrategy
     from autogpt.core.resource.model_providers.schema import (
-        AssistantChatMessageDict,
+        AssistantChatMessage,
         ChatModelInfo,
         ChatModelProvider,
         ChatModelResponse,
@@ -410,7 +410,7 @@ class BaseAgent(Configurable[BaseAgentSettings], ABC):
     @abstractmethod
     def parse_and_process_response(
         self,
-        llm_response: AssistantChatMessageDict,
+        llm_response: AssistantChatMessage,
         prompt: ChatPrompt,
         scratchpad: PromptScratchpad,
     ) -> ThoughtProcessOutput:
diff --git a/autogpts/autogpt/autogpt/agents/prompt_strategies/one_shot.py b/autogpts/autogpt/autogpt/agents/prompt_strategies/one_shot.py
index 1bfe9f5ba..6fe0f4894 100644
--- a/autogpts/autogpt/autogpt/agents/prompt_strategies/one_shot.py
+++ b/autogpts/autogpt/autogpt/agents/prompt_strategies/one_shot.py
@@ -21,7 +21,7 @@ from autogpt.core.prompting import (
     PromptStrategy,
 )
 from autogpt.core.resource.model_providers.schema import (
-    AssistantChatMessageDict,
+    AssistantChatMessage,
     ChatMessage,
     CompletionModelFunction,
 )
@@ -386,12 +386,12 @@ class OneShotAgentPromptStrategy(PromptStrategy):
 
     def parse_response_content(
         self,
-        response: AssistantChatMessageDict,
+        response: AssistantChatMessage,
     ) -> Agent.ThoughtProcessOutput:
-        if "content" not in response:
+        if not response.content:
             raise InvalidAgentResponseError("Assistant response has no text content")
 
-        assistant_reply_dict = extract_dict_from_response(response["content"])
+        assistant_reply_dict = extract_dict_from_response(response.content)
 
         _, errors = self.response_schema.validate_object(
             object=assistant_reply_dict,
@@ -417,14 +417,14 @@ class OneShotAgentPromptStrategy(PromptStrategy):
 
 def extract_command(
     assistant_reply_json: dict,
-    assistant_reply: AssistantChatMessageDict,
+    assistant_reply: AssistantChatMessage,
     use_openai_functions_api: bool,
 ) -> tuple[str, dict[str, str]]:
     """Parse the response and return the command name and arguments
 
     Args:
         assistant_reply_json (dict): The response object from the AI
-        assistant_reply (ChatModelResponse): The model response from the AI
+        assistant_reply (AssistantChatMessage): The model response from the AI
         config (Config): The config object
 
     Returns:
@@ -436,13 +436,11 @@ def extract_command(
         Exception: If any other error occurs
     """
     if use_openai_functions_api:
-        if not assistant_reply.get("tool_calls"):
+        if not assistant_reply.tool_calls:
             raise InvalidAgentResponseError("No 'tool_calls' in assistant reply")
         assistant_reply_json["command"] = {
-            "name": assistant_reply["tool_calls"][0]["function"]["name"],
-            "args": json.loads(
-                assistant_reply["tool_calls"][0]["function"]["arguments"]
-            ),
+            "name": assistant_reply.tool_calls[0].function.name,
+            "args": json.loads(assistant_reply.tool_calls[0].function.arguments),
         }
     try:
         if not isinstance(assistant_reply_json, dict):
diff --git a/autogpts/autogpt/autogpt/app/agent_protocol_server.py b/autogpts/autogpt/autogpt/app/agent_protocol_server.py
index 6abd9c8c3..aeb8d8f46 100644
--- a/autogpts/autogpt/autogpt/app/agent_protocol_server.py
+++ b/autogpts/autogpt/autogpt/app/agent_protocol_server.py
@@ -1,4 +1,3 @@
-import copy
 import logging
 import os
 import pathlib
@@ -34,6 +33,7 @@ from autogpt.commands.system import finish
 from autogpt.commands.user_interaction import ask_user
 from autogpt.config import Config
 from autogpt.core.resource.model_providers import ChatModelProvider
+from autogpt.core.resource.model_providers.openai import OpenAIProvider
 from autogpt.file_workspace import (
     FileWorkspace,
     FileWorkspaceBackendName,
@@ -414,8 +414,8 @@ class AgentProtocolServer:
         """
         Configures the LLM provider with headers to link outgoing requests to the task.
         """
-        task_llm_provider = copy.deepcopy(self.llm_provider)
-        _extra_request_headers = task_llm_provider._configuration.extra_request_headers
+        task_llm_provider_config = self.llm_provider._configuration.copy(deep=True)
+        _extra_request_headers = task_llm_provider_config.extra_request_headers
 
         _extra_request_headers["AP-TaskID"] = task.task_id
         if step_id:
@@ -423,7 +423,15 @@ class AgentProtocolServer:
         if task.additional_input and (user_id := task.additional_input.get("user_id")):
             _extra_request_headers["AutoGPT-UserID"] = user_id
 
-        return task_llm_provider
+        if isinstance(self.llm_provider, OpenAIProvider):
+            settings = self.llm_provider._settings.copy()
+            settings.configuration = task_llm_provider_config
+            return OpenAIProvider(
+                settings=settings,
+                logger=logger.getChild(f"Task-{task.task_id}_OpenAIProvider"),
+            )
+
+        return self.llm_provider
 
 
 def task_agent_id(task_id: str | int) -> str:
diff --git a/autogpts/autogpt/autogpt/app/configurator.py b/autogpts/autogpt/autogpt/app/configurator.py
index 292bf9753..cd7890021 100644
--- a/autogpts/autogpt/autogpt/app/configurator.py
+++ b/autogpts/autogpt/autogpt/app/configurator.py
@@ -190,9 +190,9 @@ def check_model(
 ) -> str:
     """Check if model is available for use. If not, return gpt-3.5-turbo."""
     api_manager = ApiManager()
-    models = api_manager.get_models(**api_credentials.get_api_access_kwargs(model_name))
+    models = api_manager.get_models(api_credentials)
 
-    if any(model_name in m["id"] for m in models):
+    if any(model_name == m.id for m in models):
         return model_name
 
     logger.warning(
diff --git a/autogpts/autogpt/autogpt/commands/image_gen.py b/autogpts/autogpt/autogpt/commands/image_gen.py
index 490557b04..957c2ac5a 100644
--- a/autogpts/autogpt/autogpt/commands/image_gen.py
+++ b/autogpts/autogpt/autogpt/commands/image_gen.py
@@ -8,8 +8,8 @@ import uuid
 from base64 import b64decode
 from pathlib import Path
 
-import openai
 import requests
+from openai import OpenAI
 from PIL import Image
 
 from autogpt.agents.agent import Agent
@@ -142,17 +142,18 @@ def generate_image_with_dalle(
         )
         size = closest
 
-    response = openai.Image.create(
+    response = OpenAI(
+        api_key=agent.legacy_config.openai_credentials.api_key.get_secret_value()
+    ).images.generate(
         prompt=prompt,
         n=1,
         size=f"{size}x{size}",
         response_format="b64_json",
-        api_key=agent.legacy_config.openai_credentials.api_key.get_secret_value(),
     )
 
     logger.info(f"Image Generated for prompt:{prompt}")
 
-    image_data = b64decode(response["data"][0]["b64_json"])
+    image_data = b64decode(response.data[0].b64_json)
 
     with open(output_file, mode="wb") as png:
         png.write(image_data)
diff --git a/autogpts/autogpt/autogpt/core/planning/prompt_strategies/initial_plan.py b/autogpts/autogpt/autogpt/core/planning/prompt_strategies/initial_plan.py
index 5a689c9ff..9912fb6e2 100644
--- a/autogpts/autogpt/autogpt/core/planning/prompt_strategies/initial_plan.py
+++ b/autogpts/autogpt/autogpt/core/planning/prompt_strategies/initial_plan.py
@@ -6,7 +6,7 @@ from autogpt.core.prompting import PromptStrategy
 from autogpt.core.prompting.schema import ChatPrompt, LanguageModelClassification
 from autogpt.core.prompting.utils import json_loads, to_numbered_list
 from autogpt.core.resource.model_providers import (
-    AssistantChatMessageDict,
+    AssistantChatMessage,
     ChatMessage,
     CompletionModelFunction,
 )
@@ -178,7 +178,7 @@ class InitialPlan(PromptStrategy):
 
     def parse_response_content(
         self,
-        response_content: AssistantChatMessageDict,
+        response_content: AssistantChatMessage,
     ) -> dict:
         """Parse the actual text response from the objective model.
 
@@ -189,8 +189,13 @@ class InitialPlan(PromptStrategy):
             The parsed response.
         """
         try:
-            parsed_response = json_loads(
-                response_content["tool_calls"][0]["function"]["arguments"]
+            if not response_content.tool_calls:
+                raise ValueError(
+                    f"LLM did not call {self._create_plan_function.name} function; "
+                    "plan creation failed"
+                )
+            parsed_response: object = json_loads(
+                response_content.tool_calls[0].function.arguments
             )
             parsed_response["task_list"] = [
                 Task.parse_obj(task) for task in parsed_response["task_list"]
diff --git a/autogpts/autogpt/autogpt/core/planning/prompt_strategies/name_and_goals.py b/autogpts/autogpt/autogpt/core/planning/prompt_strategies/name_and_goals.py
index 3f1d84b10..907a9717b 100644
--- a/autogpts/autogpt/autogpt/core/planning/prompt_strategies/name_and_goals.py
+++ b/autogpts/autogpt/autogpt/core/planning/prompt_strategies/name_and_goals.py
@@ -5,7 +5,7 @@ from autogpt.core.prompting import PromptStrategy
 from autogpt.core.prompting.schema import ChatPrompt, LanguageModelClassification
 from autogpt.core.prompting.utils import json_loads
 from autogpt.core.resource.model_providers import (
-    AssistantChatMessageDict,
+    AssistantChatMessage,
     ChatMessage,
     CompletionModelFunction,
 )
@@ -124,7 +124,7 @@ class NameAndGoals(PromptStrategy):
 
     def parse_response_content(
         self,
-        response_content: AssistantChatMessageDict,
+        response_content: AssistantChatMessage,
     ) -> dict:
         """Parse the actual text response from the objective model.
 
@@ -136,8 +136,13 @@ class NameAndGoals(PromptStrategy):
 
         """
         try:
+            if not response_content.tool_calls:
+                raise ValueError(
+                    f"LLM did not call {self._create_agent_function} function; "
+                    "agent profile creation failed"
+                )
             parsed_response = json_loads(
-                response_content["tool_calls"][0]["function"]["arguments"]
+                response_content.tool_calls[0].function.arguments
             )
         except KeyError:
             logger.debug(f"Failed to parse this response content: {response_content}")
diff --git a/autogpts/autogpt/autogpt/core/planning/prompt_strategies/next_ability.py b/autogpts/autogpt/autogpt/core/planning/prompt_strategies/next_ability.py
index f4bade1fa..9672f8e5b 100644
--- a/autogpts/autogpt/autogpt/core/planning/prompt_strategies/next_ability.py
+++ b/autogpts/autogpt/autogpt/core/planning/prompt_strategies/next_ability.py
@@ -6,7 +6,7 @@ from autogpt.core.prompting import PromptStrategy
 from autogpt.core.prompting.schema import ChatPrompt, LanguageModelClassification
 from autogpt.core.prompting.utils import json_loads, to_numbered_list
 from autogpt.core.resource.model_providers import (
-    AssistantChatMessageDict,
+    AssistantChatMessage,
     ChatMessage,
     CompletionModelFunction,
 )
@@ -171,7 +171,7 @@ class NextAbility(PromptStrategy):
 
     def parse_response_content(
         self,
-        response_content: AssistantChatMessageDict,
+        response_content: AssistantChatMessage,
     ) -> dict:
         """Parse the actual text response from the objective model.
 
@@ -183,9 +183,12 @@ class NextAbility(PromptStrategy):
 
         """
         try:
-            function_name = response_content["tool_calls"][0]["function"]["name"]
+            if not response_content.tool_calls:
+                raise ValueError("LLM did not call any function")
+
+            function_name = response_content.tool_calls[0].function.name
             function_arguments = json_loads(
-                response_content["tool_calls"][0]["function"]["arguments"]
+                response_content.tool_calls[0].function.arguments
             )
             parsed_response = {
                 "motivation": function_arguments.pop("motivation"),
diff --git a/autogpts/autogpt/autogpt/core/prompting/base.py b/autogpts/autogpt/autogpt/core/prompting/base.py
index c983be987..19e315f69 100644
--- a/autogpts/autogpt/autogpt/core/prompting/base.py
+++ b/autogpts/autogpt/autogpt/core/prompting/base.py
@@ -1,7 +1,7 @@
 import abc
 
 from autogpt.core.configuration import SystemConfiguration
-from autogpt.core.resource.model_providers import AssistantChatMessageDict
+from autogpt.core.resource.model_providers import AssistantChatMessage
 
 from .schema import ChatPrompt, LanguageModelClassification
 
@@ -19,5 +19,5 @@ class PromptStrategy(abc.ABC):
         ...
 
     @abc.abstractmethod
-    def parse_response_content(self, response_content: AssistantChatMessageDict):
+    def parse_response_content(self, response_content: AssistantChatMessage):
         ...
diff --git a/autogpts/autogpt/autogpt/core/resource/model_providers/openai.py b/autogpts/autogpt/autogpt/core/resource/model_providers/openai.py
index bac2c9393..fe4cfbcab 100644
--- a/autogpts/autogpt/autogpt/core/resource/model_providers/openai.py
+++ b/autogpts/autogpt/autogpt/core/resource/model_providers/openai.py
@@ -1,21 +1,22 @@
 import enum
-import functools
 import logging
 import math
 import os
-import time
 from pathlib import Path
-from typing import Callable, Optional, ParamSpec, TypeVar
+from typing import Callable, Coroutine, Iterator, Optional, ParamSpec, TypeVar
 
-import openai
+import tenacity
 import tiktoken
 import yaml
-from openai.error import APIError, RateLimitError
+from openai._exceptions import APIStatusError, RateLimitError
+from openai.types import CreateEmbeddingResponse
+from openai.types.chat import ChatCompletion
 from pydantic import SecretStr
 
 from autogpt.core.configuration import Configurable, UserConfigurable
 from autogpt.core.resource.model_providers.schema import (
-    AssistantChatMessageDict,
+    AssistantChatMessage,
+    AssistantToolCall,
     AssistantToolCallDict,
     ChatMessage,
     ChatModelInfo,
@@ -166,7 +167,6 @@ OPEN_AI_MODELS = {
 
 class OpenAIConfiguration(ModelProviderConfiguration):
     fix_failed_parse_tries: int = UserConfigurable(3)
-    pass
 
 
 class OpenAICredentials(ModelProviderCredentials):
@@ -187,32 +187,45 @@ class OpenAICredentials(ModelProviderCredentials):
         ),
     )
     api_version: str = UserConfigurable("", from_env="OPENAI_API_VERSION")
+    azure_endpoint: Optional[SecretStr] = None
     azure_model_to_deploy_id_map: Optional[dict[str, str]] = None
 
-    def get_api_access_kwargs(self, model: str = "") -> dict[str, str]:
-        credentials = {k: v for k, v in self.unmasked().items() if type(v) is str}
+    def get_api_access_kwargs(self) -> dict[str, str]:
+        kwargs = {
+            k: (v.get_secret_value() if type(v) is SecretStr else v)
+            for k, v in {
+                "api_key": self.api_key,
+                "base_url": self.api_base,
+                "organization": self.organization,
+            }.items()
+            if v is not None
+        }
+        if self.api_type == "azure":
+            kwargs["api_version"] = self.api_version
+            kwargs["azure_endpoint"] = self.azure_endpoint
+        return kwargs
+
+    def get_model_access_kwargs(self, model: str) -> dict[str, str]:
+        kwargs = {"model": model}
         if self.api_type == "azure" and model:
-            azure_credentials = self._get_azure_access_kwargs(model)
-            credentials.update(azure_credentials)
-        return credentials
+            azure_kwargs = self._get_azure_access_kwargs(model)
+            kwargs.update(azure_kwargs)
+        return kwargs
 
     def load_azure_config(self, config_file: Path) -> None:
         with open(config_file) as file:
             config_params = yaml.load(file, Loader=yaml.FullLoader) or {}
 
         try:
-            assert (
-                azure_api_base := config_params.get("azure_api_base", "")
-            ) != "", "Azure API base URL not set"
             assert config_params.get(
                 "azure_model_map", {}
             ), "Azure model->deployment_id map is empty"
         except AssertionError as e:
             raise ValueError(*e.args)
 
-        self.api_base = SecretStr(azure_api_base)
         self.api_type = config_params.get("azure_api_type", "azure")
         self.api_version = config_params.get("azure_api_version", "")
+        self.azure_endpoint = config_params.get("azure_endpoint")
         self.azure_model_to_deploy_id_map = config_params.get("azure_model_map")
 
     def _get_azure_access_kwargs(self, model: str) -> dict[str, str]:
@@ -225,10 +238,7 @@ class OpenAICredentials(ModelProviderCredentials):
             raise ValueError(f"No Azure deployment ID configured for model '{model}'")
         deployment_id = self.azure_model_to_deploy_id_map[model]
 
-        if model in OPEN_AI_EMBEDDING_MODELS:
-            return {"engine": deployment_id}
-        else:
-            return {"deployment_id": deployment_id}
+        return {"model": deployment_id}
 
 
 class OpenAIModelProviderBudget(ModelProviderBudget):
@@ -273,20 +283,25 @@ class OpenAIProvider(
         settings: OpenAISettings,
         logger: logging.Logger,
     ):
+        self._settings = settings
+
         assert settings.credentials, "Cannot create OpenAIProvider without credentials"
         self._configuration = settings.configuration
         self._credentials = settings.credentials
         self._budget = settings.budget
 
-        self._logger = logger
+        if self._credentials.api_type == "azure":
+            from openai import AsyncAzureOpenAI
 
-        retry_handler = _OpenAIRetryHandler(
-            logger=self._logger,
-            num_retries=self._configuration.retries_per_request,
-        )
+            # API key and org (if configured) are passed, the rest of the required
+            # credentials is loaded from the environment by the AzureOpenAI client.
+            self._client = AsyncAzureOpenAI(**self._credentials.get_api_access_kwargs())
+        else:
+            from openai import AsyncOpenAI
 
-        self._create_chat_completion = retry_handler(_create_chat_completion)
-        self._create_embedding = retry_handler(_create_embedding)
+            self._client = AsyncOpenAI(**self._credentials.get_api_access_kwargs())
+
+        self._logger = logger
 
     def get_token_limit(self, model_name: str) -> int:
         """Get the token limit for a given model."""
@@ -333,7 +348,7 @@ class OpenAIProvider(
         try:
             encoding = tiktoken.encoding_for_model(encoding_model)
         except KeyError:
-            cls._logger.warning(
+            logging.getLogger(__class__.__name__).warning(
                 f"Model {model_name} not found. Defaulting to cl100k_base encoding."
             )
             encoding = tiktoken.get_encoding("cl100k_base")
@@ -352,7 +367,7 @@ class OpenAIProvider(
         self,
         model_prompt: list[ChatMessage],
         model_name: OpenAIModelName,
-        completion_parser: Callable[[AssistantChatMessageDict], _T] = lambda _: None,
+        completion_parser: Callable[[AssistantChatMessage], _T] = lambda _: None,
         functions: Optional[list[CompletionModelFunction]] = None,
         **kwargs,
     ) -> ChatModelResponse[_T]:
@@ -370,23 +385,33 @@ class OpenAIProvider(
                 messages=model_prompt,
                 **completion_kwargs,
             )
-            response_args = {
-                "model_info": OPEN_AI_CHAT_MODELS[model_name],
-                "prompt_tokens_used": response.usage.prompt_tokens,
-                "completion_tokens_used": response.usage.completion_tokens,
-            }
-
-            response_message = response.choices[0].message.to_dict_recursive()
-            if tool_calls_compat_mode:
-                response_message["tool_calls"] = _tool_calls_compat_extract_calls(
-                    response_message["content"]
+
+            response_message = response.choices[0].message
+            if (
+                tool_calls_compat_mode
+                and response_message.content
+                and not response_message.tool_calls
+            ):
+                tool_calls = list(
+                    _tool_calls_compat_extract_calls(response_message.content)
                 )
+            elif response_message.tool_calls:
+                tool_calls = [
+                    AssistantToolCall(**tc.dict()) for tc in response_message.tool_calls
+                ]
+            else:
+                tool_calls = None
+
+            assistant_message = AssistantChatMessage(
+                content=response_message.content,
+                tool_calls=tool_calls,
+            )
 
             # If parsing the response fails, append the error to the prompt, and let the
             # LLM fix its mistake(s).
             try:
                 attempts += 1
-                parsed_response = completion_parser(response_message)
+                parsed_response = completion_parser(assistant_message)
                 break
             except Exception as e:
                 self._logger.warning(f"Parsing attempt #{attempts} failed: {e}")
@@ -401,9 +426,13 @@ class OpenAIProvider(
                     raise
 
         response = ChatModelResponse(
-            response=response_message,
+            response=assistant_message,
             parsed_result=parsed_response,
-            **response_args,
+            model_info=OPEN_AI_CHAT_MODELS[model_name],
+            prompt_tokens_used=response.usage.prompt_tokens if response.usage else 0,
+            completion_tokens_used=(
+                response.usage.completion_tokens if response.usage else 0
+            ),
         )
         self._budget.update_usage_and_cost(response)
         return response
@@ -419,14 +448,11 @@ class OpenAIProvider(
         embedding_kwargs = self._get_embedding_kwargs(model_name, **kwargs)
         response = await self._create_embedding(text=text, **embedding_kwargs)
 
-        response_args = {
-            "model_info": OPEN_AI_EMBEDDING_MODELS[model_name],
-            "prompt_tokens_used": response.usage.prompt_tokens,
-            "completion_tokens_used": response.usage.completion_tokens,
-        }
         response = EmbeddingModelResponse(
-            **response_args,
-            embedding=embedding_parser(response.embeddings[0]),
+            embedding=embedding_parser(response.data[0].embedding),
+            model_info=OPEN_AI_EMBEDDING_MODELS[model_name],
+            prompt_tokens_used=response.usage.prompt_tokens,
+            completion_tokens_used=0,
         )
         self._budget.update_usage_and_cost(response)
         return response
@@ -447,34 +473,29 @@ class OpenAIProvider(
             The kwargs for the chat API call.
 
         """
-        completion_kwargs = {
-            "model": model_name,
-            **kwargs,
-            **self._credentials.get_api_access_kwargs(model_name),
-        }
+        kwargs.update(self._credentials.get_model_access_kwargs(model_name))
 
         if functions:
             if OPEN_AI_CHAT_MODELS[model_name].has_function_call_api:
-                completion_kwargs["tools"] = [
+                kwargs["tools"] = [
                     {"type": "function", "function": f.schema} for f in functions
                 ]
                 if len(functions) == 1:
                     # force the model to call the only specified function
-                    completion_kwargs["tool_choice"] = {
+                    kwargs["tool_choice"] = {
                         "type": "function",
                         "function": {"name": functions[0].name},
                     }
             else:
                 # Provide compatibility with older models
-                _functions_compat_fix_kwargs(functions, completion_kwargs)
+                _functions_compat_fix_kwargs(functions, kwargs)
 
         if extra_headers := self._configuration.extra_request_headers:
-            if completion_kwargs.get("headers"):
-                completion_kwargs["headers"].update(extra_headers)
-            else:
-                completion_kwargs["headers"] = extra_headers.copy()
+            kwargs["extra_headers"] = kwargs.get("extra_headers", {}).update(
+                extra_headers.copy()
+            )
 
-        return completion_kwargs
+        return kwargs
 
     def _get_embedding_kwargs(
         self,
@@ -491,120 +512,82 @@ class OpenAIProvider(
             The kwargs for the embedding API call.
 
         """
-        embedding_kwargs = {
-            "model": model_name,
-            **kwargs,
-            **self._credentials.unmasked(),
-        }
+        kwargs.update(self._credentials.get_model_access_kwargs(model_name))
 
         if extra_headers := self._configuration.extra_request_headers:
-            if embedding_kwargs.get("headers"):
-                embedding_kwargs["headers"].update(extra_headers)
-            else:
-                embedding_kwargs["headers"] = extra_headers.copy()
-
-        return embedding_kwargs
-
-    def __repr__(self):
-        return "OpenAIProvider()"
-
-
-async def _create_embedding(text: str, *_, **kwargs) -> openai.Embedding:
-    """Embed text using the OpenAI API.
-
-    Args:
-        text str: The text to embed.
-        model str: The name of the model to use.
-
-    Returns:
-        str: The embedding.
-    """
-    return await openai.Embedding.acreate(
-        input=[text],
-        **kwargs,
-    )
-
-
-async def _create_chat_completion(
-    messages: list[ChatMessage], *_, **kwargs
-) -> openai.Completion:
-    """Create a chat completion using the OpenAI API.
-
-    Args:
-        messages: The prompt to use.
-
-    Returns:
-        The completion.
-    """
-    raw_messages = [
-        message.dict(include={"role", "content", "tool_calls", "name"})
-        for message in messages
-    ]
-    return await openai.ChatCompletion.acreate(
-        messages=raw_messages,
-        **kwargs,
-    )
-
-
-class _OpenAIRetryHandler:
-    """Retry Handler for OpenAI API call.
+            kwargs["extra_headers"] = kwargs.get("extra_headers", {}).update(
+                extra_headers.copy()
+            )
 
-    Args:
-        num_retries int: Number of retries. Defaults to 10.
-        backoff_base float: Base for exponential backoff. Defaults to 2.
-        warn_user bool: Whether to warn the user. Defaults to True.
-    """
+        return kwargs
+
+    def _create_chat_completion(
+        self, messages: list[ChatMessage], *_, **kwargs
+    ) -> Coroutine[None, None, ChatCompletion]:
+        """Create a chat completion using the OpenAI API with retry handling."""
+
+        @self._retry_api_request
+        async def _create_chat_completion_with_retry(
+            messages: list[ChatMessage], *_, **kwargs
+        ) -> ChatCompletion:
+            raw_messages = [
+                message.dict(include={"role", "content", "tool_calls", "name"})
+                for message in messages
+            ]
+            return await self._client.chat.completions.create(
+                messages=raw_messages,  # type: ignore
+                **kwargs,
+            )
 
-    _retry_limit_msg = "Error: Reached rate limit, passing..."
-    _api_key_error_msg = (
-        "Please double check that you have setup a PAID OpenAI API Account. You can "
-        "read more here: https://docs.agpt.co/setup/#getting-an-openai-api-key"
-    )
-    _backoff_msg = "Error: API Bad gateway. Waiting {backoff} seconds..."
+        return _create_chat_completion_with_retry(messages, *_, **kwargs)
 
-    def __init__(
-        self,
-        logger: logging.Logger,
-        num_retries: int = 10,
-        backoff_base: float = 2.0,
-        warn_user: bool = True,
-    ):
-        self._logger = logger
-        self._num_retries = num_retries
-        self._backoff_base = backoff_base
-        self._warn_user = warn_user
+    def _create_embedding(
+        self, text: str, *_, **kwargs
+    ) -> Coroutine[None, None, CreateEmbeddingResponse]:
+        """Create an embedding using the OpenAI API with retry handling."""
 
-    def _log_rate_limit_error(self) -> None:
-        self._logger.debug(self._retry_limit_msg)
-        if self._warn_user:
-            self._logger.warning(self._api_key_error_msg)
-            self._warn_user = False
+        @self._retry_api_request
+        async def _create_embedding_with_retry(
+            text: str, *_, **kwargs
+        ) -> CreateEmbeddingResponse:
+            return await self._client.embeddings.create(
+                input=[text],
+                **kwargs,
+            )
 
-    def _backoff(self, attempt: int) -> None:
-        backoff = self._backoff_base ** (attempt + 2)
-        self._logger.debug(self._backoff_msg.format(backoff=backoff))
-        time.sleep(backoff)
+        return _create_embedding_with_retry(text, *_, **kwargs)
 
-    def __call__(self, func: Callable[_P, _T]) -> Callable[_P, _T]:
-        @functools.wraps(func)
-        async def _wrapped(*args: _P.args, **kwargs: _P.kwargs) -> _T:
-            num_attempts = self._num_retries + 1  # +1 for the first attempt
-            for attempt in range(1, num_attempts + 1):
-                try:
-                    return await func(*args, **kwargs)
+    def _retry_api_request(self, func: Callable[_P, _T]) -> Callable[_P, _T]:
+        _log_retry_debug_message = tenacity.after_log(self._logger, logging.DEBUG)
 
-                except RateLimitError:
-                    if attempt == num_attempts:
-                        raise
-                    self._log_rate_limit_error()
+        def _log_on_fail(retry_state: tenacity.RetryCallState) -> None:
+            _log_retry_debug_message(retry_state)
 
-                except APIError as e:
-                    if (e.http_status != 502) or (attempt == num_attempts):
-                        raise
+            if (
+                retry_state.attempt_number == 0
+                and retry_state.outcome
+                and isinstance(retry_state.outcome.exception(), RateLimitError)
+            ):
+                self._logger.warning(
+                    "Please double check that you have setup a PAID OpenAI API Account."
+                    " You can read more here: "
+                    "https://docs.agpt.co/setup/#getting-an-openai-api-key"
+                )
 
-                self._backoff(attempt)
+        return tenacity.retry(
+            retry=(
+                tenacity.retry_if_exception_type(RateLimitError)
+                | tenacity.retry_if_exception(
+                    lambda e: isinstance(e, APIStatusError) and e.status_code == 502
+                )
+            ),
+            wait=tenacity.wait_exponential(),
+            stop=tenacity.stop_after_attempt(self._configuration.retries_per_request),
+            after=_log_on_fail,
+        )(func)
 
-        return _wrapped
+    def __repr__(self):
+        return "OpenAIProvider()"
 
 
 def format_function_specs_as_typescript_ns(
@@ -730,7 +713,7 @@ def _functions_compat_fix_kwargs(
     ]
 
 
-def _tool_calls_compat_extract_calls(response: str) -> list[AssistantToolCallDict]:
+def _tool_calls_compat_extract_calls(response: str) -> Iterator[AssistantToolCall]:
     import json
     import re
 
@@ -747,4 +730,4 @@ def _tool_calls_compat_extract_calls(response: str) -> list[AssistantToolCallDic
     for t in tool_calls:
         t["function"]["arguments"] = str(t["function"]["arguments"])  # HACK
 
-    return tool_calls
+        yield AssistantToolCall.parse_obj(t)
diff --git a/autogpts/autogpt/autogpt/core/resource/model_providers/schema.py b/autogpts/autogpt/autogpt/core/resource/model_providers/schema.py
index cebb84df0..e2599b0aa 100644
--- a/autogpts/autogpt/autogpt/core/resource/model_providers/schema.py
+++ b/autogpts/autogpt/autogpt/core/resource/model_providers/schema.py
@@ -90,7 +90,7 @@ class AssistantToolCallDict(TypedDict):
 
 
 class AssistantChatMessage(ChatMessage):
-    role: Literal["assistant"]
+    role: Literal["assistant"] = "assistant"
     content: Optional[str]
     tool_calls: Optional[list[AssistantToolCall]]
 
@@ -320,7 +320,7 @@ _T = TypeVar("_T")
 class ChatModelResponse(ModelResponse, Generic[_T]):
     """Standard response struct for a response from a language model."""
 
-    response: AssistantChatMessageDict
+    response: AssistantChatMessage
     parsed_result: _T = None
 
 
@@ -338,7 +338,7 @@ class ChatModelProvider(ModelProvider):
         self,
         model_prompt: list[ChatMessage],
         model_name: str,
-        completion_parser: Callable[[AssistantChatMessageDict], _T] = lambda _: None,
+        completion_parser: Callable[[AssistantChatMessage], _T] = lambda _: None,
         functions: Optional[list[CompletionModelFunction]] = None,
         **kwargs,
     ) -> ChatModelResponse[_T]:
diff --git a/autogpts/autogpt/autogpt/core/runner/client_lib/logging/config.py b/autogpts/autogpt/autogpt/core/runner/client_lib/logging/config.py
index 191f8a1b8..56f79f5fe 100644
--- a/autogpts/autogpt/autogpt/core/runner/client_lib/logging/config.py
+++ b/autogpts/autogpt/autogpt/core/runner/client_lib/logging/config.py
@@ -2,7 +2,7 @@ import logging
 import sys
 
 from colorama import Fore, Style
-from openai.util import logger as openai_logger
+from openai._base_client import log as openai_logger
 
 SIMPLE_LOG_FORMAT = "%(asctime)s %(levelname)s  %(message)s"
 DEBUG_LOG_FORMAT = (
diff --git a/autogpts/autogpt/autogpt/llm/api_manager.py b/autogpts/autogpt/autogpt/llm/api_manager.py
index 146263626..35d28d632 100644
--- a/autogpts/autogpt/autogpt/llm/api_manager.py
+++ b/autogpts/autogpt/autogpt/llm/api_manager.py
@@ -3,10 +3,13 @@ from __future__ import annotations
 import logging
 from typing import List, Optional
 
-import openai
-from openai import Model
+from openai import OpenAI
+from openai.types import Model
 
-from autogpt.core.resource.model_providers.openai import OPEN_AI_MODELS
+from autogpt.core.resource.model_providers.openai import (
+    OPEN_AI_MODELS,
+    OpenAICredentials,
+)
 from autogpt.core.resource.model_providers.schema import ChatModelInfo
 from autogpt.singleton import Singleton
 
@@ -96,16 +99,17 @@ class ApiManager(metaclass=Singleton):
         """
         return self.total_budget
 
-    def get_models(self, **openai_credentials) -> List[Model]:
+    def get_models(self, openai_credentials: OpenAICredentials) -> List[Model]:
         """
         Get list of available GPT models.
 
         Returns:
-        list: List of available GPT models.
-
+            list[Model]: List of available GPT models.
         """
         if self.models is None:
-            all_models = openai.Model.list(**openai_credentials)["data"]
-            self.models = [model for model in all_models if "gpt" in model["id"]]
+            all_models = (
+                OpenAI(**openai_credentials.get_api_access_kwargs()).models.list().data
+            )
+            self.models = [model for model in all_models if "gpt" in model.id]
 
         return self.models
diff --git a/autogpts/autogpt/autogpt/logs/config.py b/autogpts/autogpt/autogpt/logs/config.py
index 2cd5877fc..ae483d0f8 100644
--- a/autogpts/autogpt/autogpt/logs/config.py
+++ b/autogpts/autogpt/autogpt/logs/config.py
@@ -9,7 +9,7 @@ from pathlib import Path
 from typing import TYPE_CHECKING, Optional
 
 from auto_gpt_plugin_template import AutoGPTPluginTemplate
-from openai.util import logger as openai_logger
+from openai._base_client import log as openai_logger
 
 if TYPE_CHECKING:
     from autogpt.config import Config
@@ -184,7 +184,7 @@ def configure_logging(
     json_logger.propagate = False
 
     # Disable debug logging from OpenAI library
-    openai_logger.setLevel(logging.INFO)
+    openai_logger.setLevel(logging.WARNING)
 
 
 def configure_chat_plugins(config: Config) -> None:
diff --git a/autogpts/autogpt/azure.yaml.template b/autogpts/autogpt/azure.yaml.template
index 7ad0c9c82..d9cc2ca8e 100644
--- a/autogpts/autogpt/azure.yaml.template
+++ b/autogpts/autogpt/azure.yaml.template
@@ -1,6 +1,6 @@
 azure_api_type: azure
-azure_api_base: your-base-url-for-azure
 azure_api_version: api-version-for-azure
+azure_endpoint: your-azure-openai-endpoint
 azure_model_map:
     gpt-3.5-turbo: gpt35-deployment-id-for-azure
     gpt-4: gpt4-deployment-id-for-azure
diff --git a/autogpts/autogpt/poetry.lock b/autogpts/autogpt/poetry.lock
index 3666a0cde..bb948bff2 100644
--- a/autogpts/autogpt/poetry.lock
+++ b/autogpts/autogpt/poetry.lock
@@ -21,15 +21,16 @@ files = []
 develop = false
 
 [package.dependencies]
+agent-protocol-client = "^1.1.0"
 click = "^8.1.3"
+click-default-group = "^1.2.4"
 colorama = "^0.4.6"
 fastapi = "^0.99.0"
 gitpython = "^3.1.32"
-helicone = "^1.0.9"
 httpx = "^0.24.0"
 matplotlib = "^3.7.2"
 networkx = "^3.1"
-openai = "^0.27.8"
+openai = "^1.7.2"
 pandas = "^2.0.3"
 pexpect = "^4.8.0"
 psutil = "^5.9.5"
@@ -49,10 +50,27 @@ uvicorn = "^0.23.2"
 type = "git"
 url = "https://github.com/Significant-Gravitas/AutoGPT.git"
 reference = "HEAD"
-resolved_reference = "967338193e96b8960f76329b4af97d07193f0ddb"
+resolved_reference = "39fd1d6be1979875c077ef575051867f105dcb18"
 subdirectory = "benchmark"
 
 [[package]]
+name = "agent-protocol-client"
+version = "1.1.0"
+description = "Agent Communication Protocol Client"
+optional = true
+python-versions = ">=3.7,<4.0"
+files = [
+    {file = "agent_protocol_client-1.1.0-py3-none-any.whl", hash = "sha256:0e8c6c97244189666ed18e320410abddce8c9dfb75437da1e590bbef3b6268be"},
+    {file = "agent_protocol_client-1.1.0.tar.gz", hash = "sha256:aa7e1042de1249477fdc29c2df08a44f2233dade9c02c1279e37c98e9d3a0d72"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.8.4,<4.0.0"
+pydantic = ">=1.10.5,<2.0.0"
+python-dateutil = ">=2.8.2,<3.0.0"
+urllib3 = ">=1.25.3,<2.0.0"
+
+[[package]]
 name = "aiohttp"
 version = "3.9.1"
 description = "Async http client/server framework (asyncio)"
@@ -164,19 +182,20 @@ frozenlist = ">=1.1.0"
 
 [[package]]
 name = "anyio"
-version = "4.1.0"
+version = "4.2.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "anyio-4.1.0-py3-none-any.whl", hash = "sha256:56a415fbc462291813a94528a779597226619c8e78af7de0507333f700011e5f"},
-    {file = "anyio-4.1.0.tar.gz", hash = "sha256:5a0bec7085176715be77df87fc66d6c9d70626bd752fcc85f57cdbee5b3760da"},
+    {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
+    {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
 ]
 
 [package.dependencies]
 exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
+typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
@@ -184,16 +203,22 @@ test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypo
 trio = ["trio (>=0.23)"]
 
 [[package]]
-name = "appdirs"
-version = "1.4.4"
-description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+name = "asgiref"
+version = "3.7.2"
+description = "ASGI specs, helper code, and adapters"
 optional = false
-python-versions = "*"
+python-versions = ">=3.7"
 files = [
-    {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
-    {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
+    {file = "asgiref-3.7.2-py3-none-any.whl", hash = "sha256:89b2ef2247e3b562a16eef663bc0e2e703ec6468e2fa8a5cd61cd449786d4f6e"},
+    {file = "asgiref-3.7.2.tar.gz", hash = "sha256:9e0ce3aa93a819ba5b45120216b23878cf6e8525eb3848653452b4192b92afed"},
 ]
 
+[package.dependencies]
+typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""}
+
+[package.extras]
+tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
+
 [[package]]
 name = "asttokens"
 version = "2.4.1"
@@ -236,21 +261,22 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "23.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
-    {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"},
+    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
 ]
 
 [package.extras]
 cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+dev = ["attrs[tests]", "pre-commit"]
 docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
 tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "auto_gpt_plugin_template"
@@ -302,8 +328,8 @@ colorlog = "^6.7.0"
 duckduckgo-search = "^4.0.0"
 google-cloud-storage = "^2.13.0"
 jinja2 = "^3.1.2"
-litellm = "^0.1.821"
-openai = "^0.27.8"
+litellm = "^1.17.9"
+openai = "^1.7.2"
 python-dotenv = "^1.0.0"
 python-multipart = "^0.0.6"
 selenium = "^4.13.0"
@@ -320,7 +346,7 @@ benchmark = ["agbenchmark @ git+https://github.com/Significant-Gravitas/AutoGPT.
 type = "git"
 url = "https://github.com/Significant-Gravitas/AutoGPT.git"
 reference = "HEAD"
-resolved_reference = "967338193e96b8960f76329b4af97d07193f0ddb"
+resolved_reference = "39fd1d6be1979875c077ef575051867f105dcb18"
 subdirectory = "autogpts/forge"
 
 [[package]]
@@ -336,28 +362,38 @@ files = [
 
 [[package]]
 name = "bcrypt"
-version = "4.1.1"
+version = "4.1.2"
 description = "Modern password hashing for your software and your servers"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "bcrypt-4.1.2.tar.gz", hash = "sha256:33313a1200a3ae90b75587ceac502b048b840fc69e7f7a0905b5f87fac7a1258"},
 ]
 
 [package.extras]
@@ -384,33 +420,33 @@ lxml = ["lxml"]
 
 [[package]]
 name = "black"
-version = "23.12.0"
+version = "23.12.1"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -476,428 +512,431 @@ numpy = {version = ">=1.19.0", markers = "python_version >= \"3.9\""}
 
 [[package]]
 name = "boto3"
-version = "1.33.13"
+version = "1.34.20"
 description = "The AWS SDK for Python"
 optional = false
-python-versions = ">= 3.7"
+python-versions = ">= 3.8"
 files = [
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+    {file = "boto3-1.34.20-py3-none-any.whl", hash = "sha256:a21da54634bd09dcad9e80d106512b6aabe493b1d4260688180156ef27afedc9"},
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 ]
 
 [package.dependencies]
-botocore = ">=1.33.13,<1.34.0"
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 [[package]]
 name = "botocore"
-version = "1.33.13"
+version = "1.34.20"
 description = "Low-level, data-driven core of boto 3."
 optional = false
-python-versions = ">= 3.7"
+python-versions = ">= 3.8"
 files = [
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@@ -906,17 +945,17 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.1", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.19.17)"]
+crt = ["awscrt (==0.19.19)"]
 
 [[package]]
 name = "botocore-stubs"
-version = "1.33.13"
+version = "1.34.20"
 description = "Type annotations and code completion for botocore"
 optional = false
-python-versions = ">=3.7,<4.0"
+python-versions = ">=3.8,<4.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -939,6 +978,29 @@ files = [
 beautifulsoup4 = "*"
 
 [[package]]
+name = "build"
+version = "1.0.3"
+description = "A simple, correct Python build frontend"
+optional = false
+python-versions = ">= 3.7"
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+pyproject_hooks = "*"
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+
+[package.extras]
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+virtualenv = ["virtualenv (>=20.0.35)"]
+
+[[package]]
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@@ -1195,29 +1257,38 @@ numpy = "*"
 
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-python-versions = ">=3.7"
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 [package.dependencies]
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 grpcio = ">=1.58.0"
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-numpy = {version = ">=1.22.5", markers = "python_version >= \"3.8\""}
+kubernetes = ">=28.1.0"
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+numpy = ">=1.22.5"
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+PyYAML = ">=6.0.0"
 requests = ">=2.28"
+tenacity = ">=8.2.3"
 tokenizers = ">=0.13.2"
 tqdm = ">=4.65.0"
 typer = ">=0.9.0"
@@ -1239,6 +1310,23 @@ files = [
 colorama = {version = "*", markers = "platform_system == \"Windows\""}
 
 [[package]]
+name = "click-default-group"
+version = "1.2.4"
+description = "click_default_group"
+optional = true
+python-versions = ">=2.7"
+files = [
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+
+[package.extras]
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+
+[[package]]
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 version = "0.4.6"
 description = "Cross-platform colored terminal text."
@@ -1363,63 +1451,63 @@ test-no-images = ["pytest", "pytest-cov", "pytest-xdist", "wurlitzer"]
 
 [[package]]
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 [package.dependencies]
@@ -1531,6 +1619,23 @@ files = [
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 [[package]]
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+description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
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+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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+
+[[package]]
 name = "distlib"
 version = "0.3.8"
 description = "Distribution utilities"
@@ -1543,13 +1648,13 @@ files = [
 
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 python-versions = ">=3.6"
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 [[package]]
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 [[package]]
 name = "duckduckgo-search"
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+version = "4.2"
 description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
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 [[package]]
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+version = "7.0.0"
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 python-versions = ">=3.8.1"
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 [[package]]
 name = "flatbuffers"
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 python-versions = ">=3.8"
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 ]
 
 [[package]]
@@ -1932,20 +2053,20 @@ smmap = ">=3.0.1,<6"
 
 [[package]]
 name = "gitpython"
-version = "3.1.40"
+version = "3.1.41"
 description = "GitPython is a Python library used to interact with Git repositories"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "GitPython-3.1.40-py3-none-any.whl", hash = "sha256:cf14627d5a8049ffbf49915732e5eddbe8134c3bdb9d476e6182b676fc573f8a"},
-    {file = "GitPython-3.1.40.tar.gz", hash = "sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4"},
+    {file = "GitPython-3.1.41-py3-none-any.whl", hash = "sha256:c36b6634d069b3f719610175020a9aed919421c87552185b085e04fbbdb10b7c"},
+    {file = "GitPython-3.1.41.tar.gz", hash = "sha256:ed66e624884f76df22c8e16066d567aaa5a37d5b5fa19db2c6df6f7156db9048"},
 ]
 
 [package.dependencies]
 gitdb = ">=4.0.1,<5"
 
 [package.extras]
-test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-instafail", "pytest-subtests", "pytest-sugar"]
+test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "sumtypes"]
 
 [[package]]
 name = "google-api-core"
@@ -1962,12 +2083,12 @@ files = [
 google-auth = ">=2.14.1,<3.0.dev0"
 googleapis-common-protos = ">=1.56.2,<2.0.dev0"
 grpcio = [
-    {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
     {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0dev", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
 grpcio-status = [
-    {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
     {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""},
+    {version = ">=1.49.1,<2.0.dev0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""},
 ]
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0.dev0"
 requests = ">=2.18.0,<3.0.0.dev0"
@@ -1979,13 +2100,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-api-python-client"
-version = "2.111.0"
+version = "2.114.0"
 description = "Google API Client Library for Python"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-api-python-client-2.111.0.tar.gz", hash = "sha256:3a45a53c031478d1c82c7162dd25c9a965247bca6bd438af0838a9d9b8219405"},
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+    {file = "google-api-python-client-2.114.0.tar.gz", hash = "sha256:e041bbbf60e682261281e9d64b4660035f04db1cccba19d1d68eebc24d1465ed"},
+    {file = "google_api_python_client-2.114.0-py2.py3-none-any.whl", hash = "sha256:690e0bb67d70ff6dea4e8a5d3738639c105a478ac35da153d3b2a384064e9e1a"},
 ]
 
 [package.dependencies]
@@ -1997,13 +2118,13 @@ uritemplate = ">=3.0.1,<5"
 
 [[package]]
 name = "google-auth"
-version = "2.25.2"
+version = "2.26.2"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-auth-2.25.2.tar.gz", hash = "sha256:42f707937feb4f5e5a39e6c4f343a17300a459aaf03141457ba505812841cc40"},
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+    {file = "google-auth-2.26.2.tar.gz", hash = "sha256:97327dbbf58cccb58fc5a1712bba403ae76668e64814eb30f7316f7e27126b81"},
+    {file = "google_auth-2.26.2-py2.py3-none-any.whl", hash = "sha256:3f445c8ce9b61ed6459aad86d8ccdba4a9afed841b2d1451a11ef4db08957424"},
 ]
 
 [package.dependencies]
@@ -2100,8 +2221,8 @@ google-cloud-audit-log = ">=0.1.0,<1.0.0dev"
 google-cloud-core = ">=2.0.0,<3.0.0dev"
 grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev"
 proto-plus = [
-    {version = ">=1.22.2,<2.0.0dev", markers = "python_version >= \"3.11\""},
     {version = ">=1.22.0,<2.0.0dev", markers = "python_version < \"3.11\""},
+    {version = ">=1.22.2,<2.0.0dev", markers = "python_version >= \"3.11\""},
 ]
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
 
@@ -2245,73 +2366,73 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
 [[package]]
 name = "greenlet"
-version = "3.0.2"
+version = "3.0.3"
 description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.7"
 files = [
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 [package.extras]
-docs = ["Sphinx"]
+docs = ["Sphinx", "furo"]
 test = ["objgraph", "psutil"]
 
 [[package]]
@@ -2414,13 +2535,13 @@ protobuf = ">=4.21.6"
 
 [[package]]
 name = "gtts"
-version = "2.4.0"
+version = "2.5.0"
 description = "gTTS (Google Text-to-Speech), a Python library and CLI tool to interface with Google Translate text-to-speech API"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -2458,22 +2579,6 @@ hpack = ">=4.0,<5"
 hyperframe = ">=6.0,<7"
 
 [[package]]
-name = "helicone"
-version = "1.0.14"
-description = "A Python wrapper for the OpenAI API that logs all requests to Helicone."
-optional = true
-python-versions = ">=3.8.1"
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-
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-openai = ">=0.27.0,<0.28.0"
-pyhumps = ">=3.8.0,<4.0.0"
-
-[[package]]
 name = "hpack"
 version = "4.0.0"
 description = "Pure-Python HPACK header compression"
@@ -2592,13 +2697,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.19.4"
+version = "0.20.2"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.19.4-py3-none-any.whl", hash = "sha256:dba013f779da16f14b606492828f3760600a1e1801432d09fe1c33e50b825bb5"},
-    {file = "huggingface_hub-0.19.4.tar.gz", hash = "sha256:176a4fc355a851c17550e7619488f383189727eab209534d7cef2114dae77b22"},
+    {file = "huggingface_hub-0.20.2-py3-none-any.whl", hash = "sha256:53752eda2239d30a470c307a61cf9adcf136bc77b0a734338c7d04941af560d8"},
+    {file = "huggingface_hub-0.20.2.tar.gz", hash = "sha256:215c5fceff631030c7a3d19ba7b588921c908b3f21eef31d160ebc245b200ff6"},
 ]
 
 [package.dependencies]
@@ -2611,15 +2716,14 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
-docs = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "hf-doc-builder", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)", "watchdog"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
 quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
@@ -2699,13 +2803,13 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "7.0.0"
+version = "6.11.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-7.0.0-py3-none-any.whl", hash = "sha256:d97503976bb81f40a193d41ee6570868479c69d5068651eb039c40d850c59d67"},
-    {file = "importlib_metadata-7.0.0.tar.gz", hash = "sha256:7fc841f8b8332803464e5dc1c63a2e59121f46ca186c0e2e182e80bf8c1319f7"},
+    {file = "importlib_metadata-6.11.0-py3-none-any.whl", hash = "sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b"},
+    {file = "importlib_metadata-6.11.0.tar.gz", hash = "sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443"},
 ]
 
 [package.dependencies]
@@ -2755,13 +2859,13 @@ files = [
 
 [[package]]
 name = "ipython"
-version = "8.18.1"
+version = "8.20.0"
 description = "IPython: Productive Interactive Computing"
 optional = true
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 files = [
-    {file = "ipython-8.18.1-py3-none-any.whl", hash = "sha256:e8267419d72d81955ec1177f8a29aaa90ac80ad647499201119e2f05e99aa397"},
-    {file = "ipython-8.18.1.tar.gz", hash = "sha256:ca6f079bb33457c66e233e4580ebfc4128855b4cf6370dddd73842a9563e8a27"},
+    {file = "ipython-8.20.0-py3-none-any.whl", hash = "sha256:bc9716aad6f29f36c449e30821c9dd0c1c1a7b59ddcc26931685b87b4c569619"},
+    {file = "ipython-8.20.0.tar.gz", hash = "sha256:2f21bd3fc1d51550c89ee3944ae04bbc7bc79e129ea0937da6e6c68bfdbf117a"},
 ]
 
 [package.dependencies]
@@ -2777,29 +2881,32 @@ stack-data = "*"
 traitlets = ">=5"
 
 [package.extras]
-all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio (<0.22)", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
+all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.23)", "pandas", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
 black = ["black"]
-doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio (<0.22)", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
+doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
 kernel = ["ipykernel"]
 nbconvert = ["nbconvert"]
 nbformat = ["nbformat"]
 notebook = ["ipywidgets", "notebook"]
 parallel = ["ipyparallel"]
 qtconsole = ["qtconsole"]
-test = ["pickleshare", "pytest (<7.1)", "pytest-asyncio (<0.22)", "testpath"]
-test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7.1)", "pytest-asyncio (<0.22)", "testpath", "trio"]
+test = ["pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
+test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath", "trio"]
 
 [[package]]
 name = "isort"
-version = "5.13.1"
+version = "5.13.2"
 description = "A Python utility / library to sort Python imports."
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "isort-5.13.1-py3-none-any.whl", hash = "sha256:56a51732c25f94ca96f6721be206dd96a95f42950502eb26c1015d333bc6edb7"},
-    {file = "isort-5.13.1.tar.gz", hash = "sha256:aaed790b463e8703fb1eddb831dfa8e8616bacde2c083bd557ef73c8189b7263"},
+    {file = "isort-5.13.2-py3-none-any.whl", hash = "sha256:8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6"},
+    {file = "isort-5.13.2.tar.gz", hash = "sha256:48fdfcb9face5d58a4f6dde2e72a1fb8dcaf8ab26f95ab49fab84c2ddefb0109"},
 ]
 
+[package.extras]
+colors = ["colorama (>=0.4.6)"]
+
 [[package]]
 name = "jedi"
 version = "0.19.1"
@@ -2821,13 +2928,13 @@ testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
 
 [[package]]
 name = "jinja2"
-version = "3.1.2"
+version = "3.1.3"
 description = "A very fast and expressive template engine."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"},
-    {file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
+    {file = "Jinja2-3.1.3-py3-none-any.whl", hash = "sha256:7d6d50dd97d52cbc355597bd845fabfbac3f551e1f99619e39a35ce8c370b5fa"},
+    {file = "Jinja2-3.1.3.tar.gz", hash = "sha256:ac8bd6544d4bb2c9792bf3a159e80bba8fda7f07e81bc3aed565432d5925ba90"},
 ]
 
 [package.dependencies]
@@ -2865,13 +2972,13 @@ testing-libs = ["simplejson", "ujson"]
 
 [[package]]
 name = "jsonschema"
-version = "4.20.0"
+version = "4.21.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema-4.20.0-py3-none-any.whl", hash = "sha256:ed6231f0429ecf966f5bc8dfef245998220549cbbcf140f913b7464c52c3b6b3"},
-    {file = "jsonschema-4.20.0.tar.gz", hash = "sha256:4f614fd46d8d61258610998997743ec5492a648b33cf478c1ddc23ed4598a5fa"},
+    {file = "jsonschema-4.21.0-py3-none-any.whl", hash = "sha256:70a09719d375c0a2874571b363c8a24be7df8071b80c9aa76bc4551e7297c63c"},
+    {file = "jsonschema-4.21.0.tar.gz", hash = "sha256:3ba18e27f7491ea4a1b22edce00fb820eec968d397feb3f9cb61d5894bb38167"},
 ]
 
 [package.dependencies]
@@ -2886,13 +2993,13 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jsonschema-specifications"
-version = "2023.11.2"
+version = "2023.12.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema_specifications-2023.11.2-py3-none-any.whl", hash = "sha256:e74ba7c0a65e8cb49dc26837d6cfe576557084a8b423ed16a420984228104f93"},
-    {file = "jsonschema_specifications-2023.11.2.tar.gz", hash = "sha256:9472fc4fea474cd74bea4a2b190daeccb5a9e4db2ea80efcf7a1b582fc9a81b8"},
+    {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"},
+    {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"},
 ]
 
 [package.dependencies]
@@ -3012,6 +3119,32 @@ files = [
 ]
 
 [[package]]
+name = "kubernetes"
+version = "29.0.0"
+description = "Kubernetes python client"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "kubernetes-29.0.0-py2.py3-none-any.whl", hash = "sha256:ab8cb0e0576ccdfb71886366efb102c6a20f268d817be065ce7f9909c631e43e"},
+    {file = "kubernetes-29.0.0.tar.gz", hash = "sha256:c4812e227ae74d07d53c88293e564e54b850452715a59a927e7e1bc6b9a60459"},
+]
+
+[package.dependencies]
+certifi = ">=14.05.14"
+google-auth = ">=1.0.1"
+oauthlib = ">=3.2.2"
+python-dateutil = ">=2.5.3"
+pyyaml = ">=5.4.1"
+requests = "*"
+requests-oauthlib = "*"
+six = ">=1.9.0"
+urllib3 = ">=1.24.2"
+websocket-client = ">=0.32.0,<0.40.0 || >0.40.0,<0.41.dev0 || >=0.43.dev0"
+
+[package.extras]
+adal = ["adal (>=1.0.2)"]
+
+[[package]]
 name = "langcodes"
 version = "3.3.0"
 description = "Tools for labeling human languages with IETF language tags"
@@ -3027,35 +3160,29 @@ data = ["language-data (>=1.1,<2.0)"]
 
 [[package]]
 name = "litellm"
-version = "0.1.824"
+version = "1.17.13"
 description = "Library to easily interface with LLM API providers"
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = ">=3.8, !=2.7.*, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*"
 files = [
-    {file = "litellm-0.1.824-py3-none-any.whl", hash = "sha256:3aed4d3d849b8e518aaafc62758a548111e4502bad7fbcd69581bfeb10bc016a"},
-    {file = "litellm-0.1.824.tar.gz", hash = "sha256:8c4dd49d1d996a6b953f39271608139e96ac25c43b91dd32188367b7d233f584"},
+    {file = "litellm-1.17.13-py3-none-any.whl", hash = "sha256:d9370077a3a5e3540c3d2e84580c3fee5add9ff606d6715da0428399b73f389f"},
+    {file = "litellm-1.17.13.tar.gz", hash = "sha256:df2d42bb759cff4d3390a51c11dad87cfd581e56d43103bb4eb4fa4a81d0d38e"},
 ]
 
 [package.dependencies]
-appdirs = ">=1.4.4,<2.0.0"
+aiohttp = "*"
 click = "*"
 importlib-metadata = ">=6.8.0"
 jinja2 = ">=3.1.2,<4.0.0"
-openai = ">=0.27.0,<0.29.0"
+openai = ">=1.0.0"
 python-dotenv = ">=0.2.0"
+requests = ">=2.31.0,<3.0.0"
 tiktoken = ">=0.4.0"
 tokenizers = "*"
 
-[[package]]
-name = "lockfile"
-version = "0.12.2"
-description = "Platform-independent file locking module"
-optional = true
-python-versions = "*"
-files = [
-    {file = "lockfile-0.12.2-py2.py3-none-any.whl", hash = "sha256:6c3cb24f344923d30b2785d5ad75182c8ea7ac1b6171b08657258ec7429d50fa"},
-    {file = "lockfile-0.12.2.tar.gz", hash = "sha256:6aed02de03cba24efabcd600b30540140634fc06cfa603822d508d5361e9f799"},
-]
+[package.extras]
+extra-proxy = ["streamlit (>=1.29.0,<2.0.0)"]
+proxy = ["backoff", "fastapi (>=0.104.1,<0.105.0)", "gunicorn (>=21.2.0,<22.0.0)", "orjson (>=3.9.7,<4.0.0)", "pyyaml (>=6.0,<7.0)", "rq", "uvicorn (>=0.22.0,<0.23.0)"]
 
 [[package]]
 name = "loguru"
@@ -3077,110 +3204,96 @@ dev = ["Sphinx (==7.2.5)", "colorama (==0.4.5)", "colorama (==0.4.6)", "exceptio
 
 [[package]]
 name = "lxml"
-version = "4.9.3"
+version = "5.1.0"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, != 3.4.*"
-files = [
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+    {file = "numpy-1.26.3-cp39-cp39-win32.whl", hash = "sha256:9bc6d1a7f8cedd519c4b7b1156d98e051b726bf160715b769106661d567b3f03"},
+    {file = "numpy-1.26.3-cp39-cp39-win_amd64.whl", hash = "sha256:867e3644e208c8922a3be26fc6bbf112a035f50f0a86497f98f228c50c607bb2"},
+    {file = "numpy-1.26.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:3c67423b3703f8fbd90f5adaa37f85b5794d3366948efe9a5190a5f3a83fc34e"},
+    {file = "numpy-1.26.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:46f47ee566d98849323f01b349d58f2557f02167ee301e5e28809a8c0e27a2d0"},
+    {file = "numpy-1.26.3-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a8474703bffc65ca15853d5fd4d06b18138ae90c17c8d12169968e998e448bb5"},
+    {file = "numpy-1.26.3.tar.gz", hash = "sha256:697df43e2b6310ecc9d95f05d5ef20eacc09c7c4ecc9da3f235d39e71b7da1e4"},
+]
+
+[[package]]
+name = "oauthlib"
+version = "3.2.2"
+description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca"},
+    {file = "oauthlib-3.2.2.tar.gz", hash = "sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918"},
 ]
 
+[package.extras]
+rsa = ["cryptography (>=3.0.0)"]
+signals = ["blinker (>=1.4.0)"]
+signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
+
 [[package]]
 name = "onnxruntime"
 version = "1.16.3"
@@ -3669,25 +3890,26 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "0.27.10"
-description = "Python client library for the OpenAI API"
+version = "1.8.0"
+description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-0.27.10-py3-none-any.whl", hash = "sha256:beabd1757e3286fa166dde3b70ebb5ad8081af046876b47c14c41e203ed22a14"},
-    {file = "openai-0.27.10.tar.gz", hash = "sha256:60e09edf7100080283688748c6803b7b3b52d5a55d21890f3815292a0552d83b"},
+    {file = "openai-1.8.0-py3-none-any.whl", hash = "sha256:0f8f53805826103fdd8adaf379ad3ec23f9d867e698cbc14caf34b778d150175"},
+    {file = "openai-1.8.0.tar.gz", hash = "sha256:93366be27802f517e89328801913d2a5ede45e3b86fdcab420385b8a1b88c767"},
 ]
 
 [package.dependencies]
-aiohttp = "*"
-requests = ">=2.20"
-tqdm = "*"
+anyio = ">=3.5.0,<5"
+distro = ">=1.7.0,<2"
+httpx = ">=0.23.0,<1"
+pydantic = ">=1.9.0,<3"
+sniffio = "*"
+tqdm = ">4"
+typing-extensions = ">=4.7,<5"
 
 [package.extras]
-datalib = ["numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
-dev = ["black (>=21.6b0,<22.0)", "pytest (==6.*)", "pytest-asyncio", "pytest-mock"]
-embeddings = ["matplotlib", "numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)", "plotly", "scikit-learn (>=1.0.2)", "scipy", "tenacity (>=8.0.1)"]
-wandb = ["numpy", "openpyxl (>=3.0.7)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)", "wandb"]
+datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "openapi-python-client"
@@ -3715,6 +3937,172 @@ shellingham = ">=1.3.2,<2.0.0"
 typer = ">0.6,<0.10"
 
 [[package]]
+name = "opentelemetry-api"
+version = "1.22.0"
+description = "OpenTelemetry Python API"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "opentelemetry_api-1.22.0-py3-none-any.whl", hash = "sha256:43621514301a7e9f5d06dd8013a1b450f30c2e9372b8e30aaeb4562abf2ce034"},
+    {file = "opentelemetry_api-1.22.0.tar.gz", hash = "sha256:15ae4ca925ecf9cfdfb7a709250846fbb08072260fca08ade78056c502b86bed"},
+]
+
+[package.dependencies]
+deprecated = ">=1.2.6"
+importlib-metadata = ">=6.0,<7.0"
+
+[[package]]
+name = "opentelemetry-exporter-otlp-proto-common"
+version = "1.22.0"
+description = "OpenTelemetry Protobuf encoding"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "opentelemetry_exporter_otlp_proto_common-1.22.0-py3-none-any.whl", hash = "sha256:3f2538bec5312587f8676c332b3747f54c89fe6364803a807e217af4603201fa"},
+    {file = "opentelemetry_exporter_otlp_proto_common-1.22.0.tar.gz", hash = "sha256:71ae2f81bc6d6fe408d06388826edc8933759b2ca3a97d24054507dc7cfce52d"},
+]
+
+[package.dependencies]
+backoff = {version = ">=1.10.0,<3.0.0", markers = "python_version >= \"3.7\""}
+opentelemetry-proto = "1.22.0"
+
+[[package]]
+name = "opentelemetry-exporter-otlp-proto-grpc"
+version = "1.22.0"
+description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.22.0-py3-none-any.whl", hash = "sha256:b5bcadc129272004316a455e9081216d3380c1fc2231a928ea6a70aa90e173fb"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.22.0.tar.gz", hash = "sha256:1e0e5aa4bbabc74942f06f268deffd94851d12a8dc30b02527472ef1729fe5b1"},
+]
+
+[package.dependencies]
+backoff = {version = ">=1.10.0,<3.0.0", markers = "python_version >= \"3.7\""}
+deprecated = ">=1.2.6"
+googleapis-common-protos = ">=1.52,<2.0"
+grpcio = ">=1.0.0,<2.0.0"
+opentelemetry-api = ">=1.15,<2.0"
+opentelemetry-exporter-otlp-proto-common = "1.22.0"
+opentelemetry-proto = "1.22.0"
+opentelemetry-sdk = ">=1.22.0,<1.23.0"
+
+[package.extras]
+test = ["pytest-grpc"]
+
+[[package]]
+name = "opentelemetry-instrumentation"
+version = "0.43b0"
+description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "opentelemetry_instrumentation-0.43b0-py3-none-any.whl", hash = "sha256:0ff1334d7e359e27640e9d420024efeb73eacae464309c2e14ede7ba6c93967e"},
+    {file = "opentelemetry_instrumentation-0.43b0.tar.gz", hash = "sha256:c3755da6c4be8033be0216d0501e11f4832690f4e2eca5a3576fbf113498f0f6"},
+]
+
+[package.dependencies]
+opentelemetry-api = ">=1.4,<2.0"
+setuptools = ">=16.0"
+wrapt = ">=1.0.0,<2.0.0"
+
+[[package]]
+name = "opentelemetry-instrumentation-asgi"
+version = "0.43b0"
+description = "ASGI instrumentation for OpenTelemetry"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "opentelemetry_instrumentation_asgi-0.43b0-py3-none-any.whl", hash = "sha256:1f593829fa039e9367820736fb063e92acd15c25b53d7bcb5d319971b8e93fd7"},
+    {file = "opentelemetry_instrumentation_asgi-0.43b0.tar.gz", hash = "sha256:3f6f19333dca31ef696672e4e36cb1c2613c71dc7e847c11ff36a37e1130dadc"},
+]
+
+[package.dependencies]
+asgiref = ">=3.0,<4.0"
+opentelemetry-api = ">=1.12,<2.0"
+opentelemetry-instrumentation = "0.43b0"
+opentelemetry-semantic-conventions = "0.43b0"
+opentelemetry-util-http = "0.43b0"
+
+[package.extras]
+instruments = ["asgiref (>=3.0,<4.0)"]
+test = ["opentelemetry-instrumentation-asgi[instruments]", "opentelemetry-test-utils (==0.43b0)"]
+
+[[package]]
+name = "opentelemetry-instrumentation-fastapi"
+version = "0.43b0"
+description = "OpenTelemetry FastAPI Instrumentation"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "opentelemetry_instrumentation_fastapi-0.43b0-py3-none-any.whl", hash = "sha256:b79c044df68a52e07b35fa12a424e7cc0dd27ff0a171c5fdcc41dea9de8fc938"},
+    {file = "opentelemetry_instrumentation_fastapi-0.43b0.tar.gz", hash = "sha256:2afaaf470622e1a2732182c68f6d2431ffe5e026a7edacd0f83605632b66347f"},
+]
+
+[package.dependencies]
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+opentelemetry-instrumentation = "0.43b0"
+opentelemetry-instrumentation-asgi = "0.43b0"
+opentelemetry-semantic-conventions = "0.43b0"
+opentelemetry-util-http = "0.43b0"
+
+[package.extras]
+instruments = ["fastapi (>=0.58,<1.0)"]
+test = ["httpx (>=0.22,<1.0)", "opentelemetry-instrumentation-fastapi[instruments]", "opentelemetry-test-utils (==0.43b0)", "requests (>=2.23,<3.0)"]
+
+[[package]]
+name = "opentelemetry-proto"
+version = "1.22.0"
+description = "OpenTelemetry Python Proto"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "opentelemetry_proto-1.22.0-py3-none-any.whl", hash = "sha256:ce7188d22c75b6d0fe53e7fb58501613d0feade5139538e79dedd9420610fa0c"},
+    {file = "opentelemetry_proto-1.22.0.tar.gz", hash = "sha256:9ec29169286029f17ca34ec1f3455802ffb90131642d2f545ece9a63e8f69003"},
+]
+
+[package.dependencies]
+protobuf = ">=3.19,<5.0"
+
+[[package]]
+name = "opentelemetry-sdk"
+version = "1.22.0"
+description = "OpenTelemetry Python SDK"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "opentelemetry_sdk-1.22.0-py3-none-any.whl", hash = "sha256:a730555713d7c8931657612a88a141e3a4fe6eb5523d9e2d5a8b1e673d76efa6"},
+    {file = "opentelemetry_sdk-1.22.0.tar.gz", hash = "sha256:45267ac1f38a431fc2eb5d6e0c0d83afc0b78de57ac345488aa58c28c17991d0"},
+]
+
+[package.dependencies]
+opentelemetry-api = "1.22.0"
+opentelemetry-semantic-conventions = "0.43b0"
+typing-extensions = ">=3.7.4"
+
+[[package]]
+name = "opentelemetry-semantic-conventions"
+version = "0.43b0"
+description = "OpenTelemetry Semantic Conventions"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "opentelemetry_semantic_conventions-0.43b0-py3-none-any.whl", hash = "sha256:291284d7c1bf15fdaddf309b3bd6d3b7ce12a253cec6d27144439819a15d8445"},
+    {file = "opentelemetry_semantic_conventions-0.43b0.tar.gz", hash = "sha256:b9576fb890df479626fa624e88dde42d3d60b8b6c8ae1152ad157a8b97358635"},
+]
+
+[[package]]
+name = "opentelemetry-util-http"
+version = "0.43b0"
+description = "Web util for OpenTelemetry"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "opentelemetry_util_http-0.43b0-py3-none-any.whl", hash = "sha256:f25a820784b030f6cb86b3d76e5676c769b75ed3f55a210bcdae0a5e175ebadb"},
+    {file = "opentelemetry_util_http-0.43b0.tar.gz", hash = "sha256:3ff6ab361dbe99fc81200d625603c0fb890c055c6e416a3e6d661ddf47a6c7f7"},
+]
+
+[[package]]
 name = "orjson"
 version = "3.9.10"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
@@ -3845,9 +4233,9 @@ files = [
 
 [package.dependencies]
 numpy = [
+    {version = ">=1.22.4,<2", markers = "python_version < \"3.11\""},
     {version = ">=1.23.2,<2", markers = "python_version == \"3.11\""},
     {version = ">=1.26.0,<2", markers = "python_version >= \"3.12\""},
-    {version = ">=1.22.4,<2", markers = "python_version < \"3.11\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -3893,6 +4281,17 @@ qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
 testing = ["docopt", "pytest (<6.0.0)"]
 
 [[package]]
+name = "pathlib-abc"
+version = "0.1.1"
+description = "Backport of pathlib ABCs"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pathlib_abc-0.1.1-py3-none-any.whl", hash = "sha256:5cb2f942fdbb75ce0e00ed3b94de9695b0c5d4b419b5004a702da80f165b3109"},
+    {file = "pathlib_abc-0.1.1.tar.gz", hash = "sha256:084e7bdd919b0f7774914a9e64cd86a1b39860f81f781dd724258631f2915abe"},
+]
+
+[[package]]
 name = "pathspec"
 version = "0.12.1"
 description = "Utility library for gitignore style pattern matching of file paths."
@@ -3905,16 +4304,17 @@ files = [
 
 [[package]]
 name = "pathy"
-version = "0.10.3"
+version = "0.11.0"
 description = "pathlib.Path subclasses for local and cloud bucket storage"
 optional = false
-python-versions = ">= 3.6"
+python-versions = ">= 3.8"
 files = [
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+    {file = "pathy-0.11.0-py3-none-any.whl", hash = "sha256:5027f44744cdcd6b6ffd0b0570133dc1bc4af4b87a4f574ecdd810552b1a9fb0"},
+    {file = "pathy-0.11.0.tar.gz", hash = "sha256:bb3d0e6b0b8bf76ef4f63c7191e96e0af2ed65c8fdb5fa17488f9c879e63706d"},
 ]
 
 [package.dependencies]
+pathlib-abc = "0.1.1"
 smart-open = ">=5.2.1,<7.0.0"
 typer = ">=0.3.0,<1.0.0"
 
@@ -3941,70 +4341,88 @@ ptyprocess = ">=0.5"
 
 [[package]]
 name = "pillow"
-version = "10.1.0"
+version = "10.2.0"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.8"
 files = [
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 docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
+fpx = ["olefile"]
+mic = ["olefile"]
 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+typing = ["typing-extensions"]
+xmp = ["defusedxml"]
 
 [[package]]
 name = "pinecone-client"
@@ -4073,13 +4491,13 @@ testing = ["pytest", "pytest-benchmark"]
 
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 [package.dependencies]
 certifi = "*"
 
 [package.extras]
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-avro = ["fastavro (==1.7.3)"]
-functions = ["apache-bookkeeper-client (>=4.16.1)", "grpcio (>=1.8.2)", "prometheus-client", "protobuf (>=3.6.1,<=3.20.3)", "ratelimit"]
+all = ["apache-bookkeeper-client (>=4.16.1)", "fastavro (>=1.9.2)", "grpcio (>=1.60.0)", "prometheus-client", "protobuf (>=3.6.1,<=3.20.3)", "ratelimit"]
+avro = ["fastavro (>=1.9.2)"]
+functions = ["apache-bookkeeper-client (>=4.16.1)", "grpcio (>=1.60.0)", "prometheus-client", "protobuf (>=3.6.1,<=3.20.3)", "ratelimit"]
 
 [[package]]
 name = "pure-eval"
@@ -4513,13 +4931,13 @@ email = ["email-validator (>=1.0.3)"]
 
 [[package]]
 name = "pyflakes"
-version = "3.1.0"
+version = "3.2.0"
 description = "passive checker of Python programs"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -4538,17 +4956,6 @@ plugins = ["importlib-metadata"]
 windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
-name = "pyhumps"
-version = "3.8.0"
-description = "🐫  Convert strings (and dictionary keys) between snake case, camel case and pascal case in Python. Inspired by Humps for Node"
-optional = true
-python-versions = "*"
-files = [
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-
-[[package]]
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 version = "2.10"
 description = "Simple LaTeX parser providing latex-to-unicode and unicode-to-latex conversion"
@@ -4574,13 +4981,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pypdf"
-version = "3.17.2"
+version = "3.17.4"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.extras]
@@ -4601,6 +5008,20 @@ files = [
 ]
 
 [[package]]
+name = "pyproject-hooks"
+version = "1.0.0"
+description = "Wrappers to call pyproject.toml-based build backend hooks."
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.dependencies]
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+
+[[package]]
 name = "pyreadline3"
 version = "3.4.1"
 description = "A python implementation of GNU readline."
@@ -4625,13 +5046,13 @@ files = [
 
 [[package]]
 name = "pytest"
-version = "7.4.3"
+version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -4973,13 +5394,13 @@ ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==20.0.1)", "requests (>=2.26.0)"
 
 [[package]]
 name = "referencing"
-version = "0.32.0"
+version = "0.32.1"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -4988,99 +5409,104 @@ rpds-py = ">=0.7.0"
 
 [[package]]
 name = "regex"
-version = "2023.10.3"
+version = "2023.12.25"
 description = "Alternative regular expression module, to replace re."
 optional = false
 python-versions = ">=3.7"
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@@ -5105,111 +5531,129 @@ socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
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+[package.extras]
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 [[package]]
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+    {file = "SQLAlchemy-2.0.25.tar.gz", hash = "sha256:a2c69a7664fb2d54b8682dd774c3b54f67f84fa123cf84dda2a5f40dcaa04e08"},
 ]
 
 [package.dependencies]
 greenlet = {version = "!=0.4.17", markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""}
-typing-extensions = ">=4.2.0"
+typing-extensions = ">=4.6.0"
 
 [package.extras]
 aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
 aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
-aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing-extensions (!=3.10.0.1)"]
+aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
 asyncio = ["greenlet (!=0.4.17)"]
 asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
 mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5)"]
@@ -5546,7 +5990,7 @@ mssql-pyodbc = ["pyodbc"]
 mypy = ["mypy (>=0.910)"]
 mysql = ["mysqlclient (>=1.4.0)"]
 mysql-connector = ["mysql-connector-python"]
-oracle = ["cx-oracle (>=8)"]
+oracle = ["cx_oracle (>=8)"]
 oracle-oracledb = ["oracledb (>=1.0.1)"]
 postgresql = ["psycopg2 (>=2.7)"]
 postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
@@ -5556,7 +6000,7 @@ postgresql-psycopg2binary = ["psycopg2-binary"]
 postgresql-psycopg2cffi = ["psycopg2cffi"]
 postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
-sqlcipher = ["sqlcipher3-binary"]
+sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "srsly"
@@ -5954,13 +6398,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.14.0"
+version = "5.14.1"
 description = "Traitlets Python configuration system"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "traitlets-5.14.0-py3-none-any.whl", hash = "sha256:f14949d23829023013c47df20b4a76ccd1a85effb786dc060f34de7948361b33"},
-    {file = "traitlets-5.14.0.tar.gz", hash = "sha256:fcdaa8ac49c04dfa0ed3ee3384ef6dfdb5d6f3741502be247279407679296772"},
+    {file = "traitlets-5.14.1-py3-none-any.whl", hash = "sha256:2e5a030e6eff91737c643231bfcf04a65b0132078dad75e4936700b213652e74"},
+    {file = "traitlets-5.14.1.tar.gz", hash = "sha256:8585105b371a04b8316a43d5ce29c098575c2e477850b62b848b964f1444527e"},
 ]
 
 [package.extras]
@@ -5969,19 +6413,19 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "trio"
-version = "0.23.1"
+version = "0.24.0"
 description = "A friendly Python library for async concurrency and I/O"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "trio-0.23.1-py3-none-any.whl", hash = "sha256:bb4abb3f4af23f96679e7c8cdabb8b234520f2498550d2cf63ebfd95f2ce27fe"},
-    {file = "trio-0.23.1.tar.gz", hash = "sha256:16f89f7dcc8f7b9dcdec1fcd863e0c039af6d0f9a22f8dfd56f75d75ec73fd48"},
+    {file = "trio-0.24.0-py3-none-any.whl", hash = "sha256:c3bd3a4e3e3025cd9a2241eae75637c43fe0b9e88b4c97b9161a55b9e54cd72c"},
+    {file = "trio-0.24.0.tar.gz", hash = "sha256:ffa09a74a6bf81b84f8613909fb0beaee84757450183a7a2e0b47b455c0cac5d"},
 ]
 
 [package.dependencies]
 attrs = ">=20.1.0"
 cffi = {version = ">=1.14", markers = "os_name == \"nt\" and implementation_name != \"pypy\""}
-exceptiongroup = {version = ">=1.0.0rc9", markers = "python_version < \"3.11\""}
+exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
 idna = "*"
 outcome = "*"
 sniffio = ">=1.3.0"
@@ -6026,24 +6470,24 @@ test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.
 
 [[package]]
 name = "types-awscrt"
-version = "0.19.19"
+version = "0.20.0"
 description = "Type annotations and code completion for awscrt"
 optional = false
 python-versions = ">=3.7,<4.0"
 files = [
-    {file = "types_awscrt-0.19.19-py3-none-any.whl", hash = "sha256:a577c4d60a7fb7e21b436a73207a66f6ba50329d578b347934c5d99d4d612901"},
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+    {file = "types_awscrt-0.20.0-py3-none-any.whl", hash = "sha256:e872b65d041687ec7fb49fb4dcb871ff10ade5efeca02722e037a03bff81db7e"},
+    {file = "types_awscrt-0.20.0.tar.gz", hash = "sha256:99778c952e1eae10cc7a53468413001177026c9434345bf00120bb2ea5b79109"},
 ]
 
 [[package]]
 name = "types-beautifulsoup4"
-version = "4.12.0.7"
+version = "4.12.0.20240106"
 description = "Typing stubs for beautifulsoup4"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "types-beautifulsoup4-4.12.0.20240106.tar.gz", hash = "sha256:98d628985b71b140bd3bc22a8cb0ab603c2f2d08f20d37925965eb4a21739be8"},
+    {file = "types_beautifulsoup4-4.12.0.20240106-py3-none-any.whl", hash = "sha256:cbdd60ab8aeac737ac014431b6e921b43e84279c0405fdd25a6900bb0e71da5b"},
 ]
 
 [package.dependencies]
@@ -6051,71 +6495,82 @@ types-html5lib = "*"
 
 [[package]]
 name = "types-colorama"
-version = "0.4.15.12"
+version = "0.4.15.20240106"
 description = "Typing stubs for colorama"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
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+    {file = "types-colorama-0.4.15.20240106.tar.gz", hash = "sha256:49096b4c4cbfcaa11699a0470c36e4f5631f193fb980188e013ea64445d35656"},
+    {file = "types_colorama-0.4.15.20240106-py3-none-any.whl", hash = "sha256:18294bc18f60dc0b4895de8119964a5d895f5e180c2d1308fdd33009c0fa0f38"},
 ]
 
 [[package]]
 name = "types-html5lib"
-version = "1.1.11.15"
+version = "1.1.11.20240106"
 description = "Typing stubs for html5lib"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
-    {file = "types-html5lib-1.1.11.15.tar.gz", hash = "sha256:80e1a2062d22a3affe5c28d97da30bffbf3a076d393c80fc6f1671216c1bd492"},
-    {file = "types_html5lib-1.1.11.15-py3-none-any.whl", hash = "sha256:16fe936d99b9f7fc210e2e21a2aed1b6bbbc554ad8242a6ef75f6f2bddb27e58"},
+    {file = "types-html5lib-1.1.11.20240106.tar.gz", hash = "sha256:fc3a1b18eb601b3eeaf92c900bd67675c0a4fa1dd1d2a2893ebdb46923547ee9"},
+    {file = "types_html5lib-1.1.11.20240106-py3-none-any.whl", hash = "sha256:61993cb89220107481e0f1da65c388ff8cf3d8c5f6e8483c97559639a596b697"},
 ]
 
 [[package]]
 name = "types-markdown"
-version = "3.5.0.3"
+version = "3.5.0.20240106"
 description = "Typing stubs for Markdown"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "types-Markdown-3.5.0.3.tar.gz", hash = "sha256:9afd38a8f53e19d43de3f8d89742b3674b5736767806ed9356d64ccb09f76439"},
-    {file = "types_Markdown-3.5.0.3-py3-none-any.whl", hash = "sha256:2299b9086c695f408a3ebabf820f1fba3b239f1b3bfdbb32bf42d530b42cdd83"},
+    {file = "types-Markdown-3.5.0.20240106.tar.gz", hash = "sha256:be47d35cbe61d458bd17aec127f1da233cd6ed96fa9a131c710378a4e8857030"},
+    {file = "types_Markdown-3.5.0.20240106-py3-none-any.whl", hash = "sha256:c23569d33718475dfae25c0036c6e6866f409e7077ee8a0728ab3db263d8e4a5"},
 ]
 
 [[package]]
 name = "types-pillow"
-version = "10.1.0.2"
+version = "10.2.0.20240111"
 description = "Typing stubs for Pillow"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "types-Pillow-10.1.0.2.tar.gz", hash = "sha256:525c1c5ee67b0ac1721c40d2bc618226ef2123c347e527e14e05b920721a13b9"},
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+    {file = "types-Pillow-10.2.0.20240111.tar.gz", hash = "sha256:e8d359bfdc5a149a3c90a7e153cb2d0750ddf7fc3508a20dfadabd8a9435e354"},
+    {file = "types_Pillow-10.2.0.20240111-py3-none-any.whl", hash = "sha256:1f4243b30c143b56b0646626f052e4269123e550f9096cdfb5fbd999daee7dbb"},
 ]
 
 [[package]]
 name = "types-requests"
-version = "2.31.0.10"
+version = "2.31.0.6"
 description = "Typing stubs for requests"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "types-requests-2.31.0.10.tar.gz", hash = "sha256:dc5852a76f1eaf60eafa81a2e50aefa3d1f015c34cf0cba130930866b1b22a92"},
-    {file = "types_requests-2.31.0.10-py3-none-any.whl", hash = "sha256:b32b9a86beffa876c0c3ac99a4cd3b8b51e973fb8e3bd4e0a6bb32c7efad80fc"},
+    {file = "types-requests-2.31.0.6.tar.gz", hash = "sha256:cd74ce3b53c461f1228a9b783929ac73a666658f223e28ed29753771477b3bd0"},
+    {file = "types_requests-2.31.0.6-py3-none-any.whl", hash = "sha256:a2db9cb228a81da8348b49ad6db3f5519452dd20a9c1e1a868c83c5fe88fd1a9"},
 ]
 
 [package.dependencies]
-urllib3 = ">=2"
+types-urllib3 = "*"
 
 [[package]]
 name = "types-s3transfer"
-version = "0.8.2"
+version = "0.10.0"
 description = "Type annotations and code completion for s3transfer"
 optional = false
 python-versions = ">=3.7,<4.0"
 files = [
-    {file = "types_s3transfer-0.8.2-py3-none-any.whl", hash = "sha256:5e084ebcf2704281c71b19d5da6e1544b50859367d034b50080d5316a76a9418"},
-    {file = "types_s3transfer-0.8.2.tar.gz", hash = "sha256:2e41756fcf94775a9949afa856489ac4570308609b0493dfbd7b4d333eb423e6"},
+    {file = "types_s3transfer-0.10.0-py3-none-any.whl", hash = "sha256:44fcdf0097b924a9aab1ee4baa1179081a9559ca62a88c807e2b256893ce688f"},
+    {file = "types_s3transfer-0.10.0.tar.gz", hash = "sha256:35e4998c25df7f8985ad69dedc8e4860e8af3b43b7615e940d53c00d413bdc69"},
+]
+
+[[package]]
+name = "types-urllib3"
+version = "1.26.25.14"
+description = "Typing stubs for urllib3"
+optional = true
+python-versions = "*"
+files = [
+    {file = "types-urllib3-1.26.25.14.tar.gz", hash = "sha256:229b7f577c951b8c1b92c1bc2b2fdb0b49847bd2af6d1cc2a2e3dd340f3bda8f"},
+    {file = "types_urllib3-1.26.25.14-py3-none-any.whl", hash = "sha256:9683bbb7fb72e32bfe9d2be6e04875fbe1b3eeec3cbb4ea231435aa7fd6b4f0e"},
 ]
 
 [[package]]
@@ -6131,13 +6586,13 @@ files = [
 
 [[package]]
 name = "tzdata"
-version = "2023.3"
+version = "2023.4"
 description = "Provider of IANA time zone data"
 optional = true
 python-versions = ">=2"
 files = [
-    {file = "tzdata-2023.3-py2.py3-none-any.whl", hash = "sha256:7e65763eef3120314099b6939b5546db7adce1e7d6f2e179e3df563c70511eda"},
-    {file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
+    {file = "tzdata-2023.4-py2.py3-none-any.whl", hash = "sha256:aa3ace4329eeacda5b7beb7ea08ece826c28d761cda36e747cfbf97996d39bf3"},
+    {file = "tzdata-2023.4.tar.gz", hash = "sha256:dd54c94f294765522c77399649b4fefd95522479a664a0cec87f41bebc6148c9"},
 ]
 
 [[package]]
@@ -6153,23 +6608,22 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "2.0.7"
+version = "1.26.18"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*"
 files = [
-    {file = "urllib3-2.0.7-py3-none-any.whl", hash = "sha256:fdb6d215c776278489906c2f8916e6e7d4f5a9b602ccbcfdf7f016fc8da0596e"},
-    {file = "urllib3-2.0.7.tar.gz", hash = "sha256:c97dfde1f7bd43a71c8d2a58e369e9b2bf692d1334ea9f9cae55add7d0dd0f84"},
+    {file = "urllib3-1.26.18-py2.py3-none-any.whl", hash = "sha256:34b97092d7e0a3a8cf7cd10e386f401b3737364026c45e622aa02903dffe0f07"},
+    {file = "urllib3-1.26.18.tar.gz", hash = "sha256:f8ecc1bba5667413457c529ab955bf8c67b45db799d159066261719e328580a0"},
 ]
 
 [package.dependencies]
-pysocks = {version = ">=1.5.6,<1.5.7 || >1.5.7,<2.0", optional = true, markers = "extra == \"socks\""}
+PySocks = {version = ">=1.5.6,<1.5.7 || >1.5.7,<2.0", optional = true, markers = "extra == \"socks\""}
 
 [package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
-secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"]
-socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
-zstd = ["zstandard (>=0.18.0)"]
+brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotlipy (>=0.6.0)"]
+secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"]
+socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
 
 [[package]]
 name = "uvicorn"
@@ -6384,13 +6838,13 @@ anyio = ">=3.0.0"
 
 [[package]]
 name = "wcwidth"
-version = "0.2.12"
+version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
 files = [
-    {file = "wcwidth-0.2.12-py2.py3-none-any.whl", hash = "sha256:f26ec43d96c8cbfed76a5075dac87680124fa84e0855195a6184da9c187f133c"},
-    {file = "wcwidth-0.2.12.tar.gz", hash = "sha256:f01c104efdf57971bcb756f054dd58ddec5204dd15fa31d6503ea57947d97c02"},
+    {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
+    {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
 ]
 
 [[package]]
@@ -6410,6 +6864,22 @@ python-dotenv = "*"
 requests = "*"
 
 [[package]]
+name = "websocket-client"
+version = "1.7.0"
+description = "WebSocket client for Python with low level API options"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"},
+    {file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"},
+]
+
+[package.extras]
+docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"]
+optional = ["python-socks", "wsaccel"]
+test = ["websockets"]
+
+[[package]]
 name = "websockets"
 version = "12.0"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
@@ -6721,4 +7191,4 @@ benchmark = ["agbenchmark"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "bd520cc56d67eb631b6a9569e18934c08c5d302761c589c74a4839a805039137"
+content-hash = "e57e40785a96af53fd3977536b7bf2a912073c24034449ec45c95234738f134a"
diff --git a/autogpts/autogpt/pyproject.toml b/autogpts/autogpt/pyproject.toml
index df81c3b00..5d92cfac7 100644
--- a/autogpts/autogpt/pyproject.toml
+++ b/autogpts/autogpt/pyproject.toml
@@ -43,7 +43,7 @@ hypercorn = "^0.14.4"
 inflection = "*"
 jsonschema = "*"
 numpy = "*"
-openai = "^0.27.10"
+openai = "^1.7.2"
 orjson = "^3.8.10"
 Pillow = "*"
 pinecone-client = "^2.2.1"
@@ -60,6 +60,7 @@ redis = "*"
 requests = "*"
 selenium = "^4.11.2"
 spacy = "^3.0.0"
+tenacity = "^8.2.2"
 tiktoken = "^0.5.0"
 webdriver-manager = "*"
 
diff --git a/autogpts/autogpt/tests/conftest.py b/autogpts/autogpt/tests/conftest.py
index 3aabf2e82..a73aa7571 100644
--- a/autogpts/autogpt/tests/conftest.py
+++ b/autogpts/autogpt/tests/conftest.py
@@ -70,7 +70,7 @@ def temp_plugins_config_file():
     yield config_file
 
 
-@pytest.fixture()
+@pytest.fixture(scope="function")
 def config(
     temp_plugins_config_file: Path,
     tmp_project_root: Path,
diff --git a/autogpts/autogpt/tests/integration/memory/_test_json_file_memory.py b/autogpts/autogpt/tests/integration/memory/_test_json_file_memory.py
index 9fb88f9f7..b8c98b30e 100644
--- a/autogpts/autogpt/tests/integration/memory/_test_json_file_memory.py
+++ b/autogpts/autogpt/tests/integration/memory/_test_json_file_memory.py
@@ -97,7 +97,7 @@ def test_json_memory_load_index(config: Config, memory_item: MemoryItem):
 
 @pytest.mark.vcr
 @pytest.mark.requires_openai_api_key
-def test_json_memory_get_relevant(config: Config, patched_api_requestor: None) -> None:
+def test_json_memory_get_relevant(config: Config, cached_openai_client: None) -> None:
     index = JSONFileMemory(config)
     mem1 = MemoryItem.from_text_file("Sample text", "sample.txt", config)
     mem2 = MemoryItem.from_text_file(
diff --git a/autogpts/autogpt/tests/integration/test_image_gen.py b/autogpts/autogpt/tests/integration/test_image_gen.py
index a747ee785..14b90aec7 100644
--- a/autogpts/autogpt/tests/integration/test_image_gen.py
+++ b/autogpts/autogpt/tests/integration/test_image_gen.py
@@ -18,7 +18,7 @@ def image_size(request):
 
 @pytest.mark.requires_openai_api_key
 @pytest.mark.vcr
-def test_dalle(agent: Agent, workspace, image_size, patched_api_requestor):
+def test_dalle(agent: Agent, workspace, image_size, cached_openai_client):
     """Test DALL-E image generation."""
     generate_and_validate(
         agent,
diff --git a/autogpts/autogpt/tests/integration/test_web_selenium.py b/autogpts/autogpt/tests/integration/test_web_selenium.py
index 5a014efe1..1d904b855 100644
--- a/autogpts/autogpt/tests/integration/test_web_selenium.py
+++ b/autogpts/autogpt/tests/integration/test_web_selenium.py
@@ -7,9 +7,7 @@ from autogpt.commands.web_selenium import BrowsingError, read_webpage
 @pytest.mark.vcr
 @pytest.mark.requires_openai_api_key
 @pytest.mark.asyncio
-async def test_browse_website_nonexistent_url(
-    agent: Agent, patched_api_requestor: None
-):
+async def test_browse_website_nonexistent_url(agent: Agent, cached_openai_client: None):
     url = "https://auto-gpt-thinks-this-website-does-not-exist.com"
     question = "How to execute a barrel roll"
 
diff --git a/autogpts/autogpt/tests/unit/test_api_manager.py b/autogpts/autogpt/tests/unit/test_api_manager.py
index da9b0c3d8..e669756cd 100644
--- a/autogpts/autogpt/tests/unit/test_api_manager.py
+++ b/autogpts/autogpt/tests/unit/test_api_manager.py
@@ -1,5 +1,3 @@
-from unittest.mock import patch
-
 import pytest
 from pytest_mock import MockerFixture
 
@@ -77,13 +75,3 @@ class TestApiManager:
         assert api_manager.get_total_prompt_tokens() == prompt_tokens
         assert api_manager.get_total_completion_tokens() == 0
         assert api_manager.get_total_cost() == (prompt_tokens * 0.0004) / 1000
-
-    @staticmethod
-    def test_get_models():
-        """Test if getting models works correctly."""
-        with patch("openai.Model.list") as mock_list_models:
-            mock_list_models.return_value = {"data": [{"id": "gpt-3.5-turbo"}]}
-            result = api_manager.get_models()
-
-            assert result[0]["id"] == "gpt-3.5-turbo"
-            assert api_manager.models[0]["id"] == "gpt-3.5-turbo"
diff --git a/autogpts/autogpt/tests/unit/test_config.py b/autogpts/autogpt/tests/unit/test_config.py
index 059a6ddd3..522908f1f 100644
--- a/autogpts/autogpt/tests/unit/test_config.py
+++ b/autogpts/autogpt/tests/unit/test_config.py
@@ -8,6 +8,8 @@ from unittest import mock
 from unittest.mock import patch
 
 import pytest
+from openai.pagination import SyncPage
+from openai.types import Model
 from pydantic import SecretStr
 
 from autogpt.app.configurator import GPT_3_MODEL, GPT_4_MODEL, apply_overrides_to_config
@@ -80,8 +82,10 @@ def test_set_smart_llm(config: Config) -> None:
     config.smart_llm = smart_llm
 
 
-@patch("openai.Model.list")
-def test_smart_and_fast_llms_set_to_gpt4(mock_list_models: Any, config: Config) -> None:
+@patch("openai.resources.models.Models.list")
+def test_fallback_to_gpt3_if_gpt4_not_available(
+    mock_list_models: Any, config: Config
+) -> None:
     """
     Test if models update to gpt-3.5-turbo if gpt-4 is not available.
     """
@@ -91,7 +95,10 @@ def test_smart_and_fast_llms_set_to_gpt4(mock_list_models: Any, config: Config)
     config.fast_llm = "gpt-4"
     config.smart_llm = "gpt-4"
 
-    mock_list_models.return_value = {"data": [{"id": "gpt-3.5-turbo"}]}
+    mock_list_models.return_value = SyncPage(
+        data=[Model(id=GPT_3_MODEL, created=0, object="model", owned_by="AutoGPT")],
+        object="Models",  # no idea what this should be, but irrelevant
+    )
 
     apply_overrides_to_config(
         config=config,
@@ -123,74 +130,80 @@ def test_missing_azure_config(config: Config) -> None:
     assert config.openai_credentials.azure_model_to_deploy_id_map is None
 
 
-def test_azure_config(config: Config) -> None:
+@pytest.fixture
+def config_with_azure(config: Config):
     config_file = config.app_data_dir / "azure_config.yaml"
     config_file.write_text(
         f"""
 azure_api_type: azure
-azure_api_base: https://dummy.openai.azure.com
 azure_api_version: 2023-06-01-preview
+azure_endpoint: https://dummy.openai.azure.com
 azure_model_map:
     {config.fast_llm}: FAST-LLM_ID
     {config.smart_llm}: SMART-LLM_ID
     {config.embedding_model}: embedding-deployment-id-for-azure
 """
     )
-
     os.environ["USE_AZURE"] = "True"
     os.environ["AZURE_CONFIG_FILE"] = str(config_file)
-    config = ConfigBuilder.build_config_from_env(project_root=config.project_root)
+    config_with_azure = ConfigBuilder.build_config_from_env(
+        project_root=config.project_root
+    )
+    yield config_with_azure
+    del os.environ["USE_AZURE"]
+    del os.environ["AZURE_CONFIG_FILE"]
+
 
-    assert (credentials := config.openai_credentials) is not None
+def test_azure_config(config_with_azure: Config) -> None:
+    assert (credentials := config_with_azure.openai_credentials) is not None
     assert credentials.api_type == "azure"
-    assert credentials.api_base == SecretStr("https://dummy.openai.azure.com")
     assert credentials.api_version == "2023-06-01-preview"
+    assert credentials.azure_endpoint == SecretStr("https://dummy.openai.azure.com")
     assert credentials.azure_model_to_deploy_id_map == {
-        config.fast_llm: "FAST-LLM_ID",
-        config.smart_llm: "SMART-LLM_ID",
-        config.embedding_model: "embedding-deployment-id-for-azure",
+        config_with_azure.fast_llm: "FAST-LLM_ID",
+        config_with_azure.smart_llm: "SMART-LLM_ID",
+        config_with_azure.embedding_model: "embedding-deployment-id-for-azure",
     }
 
-    fast_llm = config.fast_llm
-    smart_llm = config.smart_llm
+    fast_llm = config_with_azure.fast_llm
+    smart_llm = config_with_azure.smart_llm
     assert (
-        credentials.get_api_access_kwargs(config.fast_llm)["deployment_id"]
+        credentials.get_model_access_kwargs(config_with_azure.fast_llm)["model"]
         == "FAST-LLM_ID"
     )
     assert (
-        credentials.get_api_access_kwargs(config.smart_llm)["deployment_id"]
+        credentials.get_model_access_kwargs(config_with_azure.smart_llm)["model"]
         == "SMART-LLM_ID"
     )
 
     # Emulate --gpt4only
-    config.fast_llm = smart_llm
+    config_with_azure.fast_llm = smart_llm
     assert (
-        credentials.get_api_access_kwargs(config.fast_llm)["deployment_id"]
+        credentials.get_model_access_kwargs(config_with_azure.fast_llm)["model"]
         == "SMART-LLM_ID"
     )
     assert (
-        credentials.get_api_access_kwargs(config.smart_llm)["deployment_id"]
+        credentials.get_model_access_kwargs(config_with_azure.smart_llm)["model"]
         == "SMART-LLM_ID"
     )
 
     # Emulate --gpt3only
-    config.fast_llm = config.smart_llm = fast_llm
+    config_with_azure.fast_llm = config_with_azure.smart_llm = fast_llm
     assert (
-        credentials.get_api_access_kwargs(config.fast_llm)["deployment_id"]
+        credentials.get_model_access_kwargs(config_with_azure.fast_llm)["model"]
         == "FAST-LLM_ID"
     )
     assert (
-        credentials.get_api_access_kwargs(config.smart_llm)["deployment_id"]
+        credentials.get_model_access_kwargs(config_with_azure.smart_llm)["model"]
         == "FAST-LLM_ID"
     )
 
-    del os.environ["USE_AZURE"]
-    del os.environ["AZURE_CONFIG_FILE"]
-
 
 def test_create_config_gpt4only(config: Config) -> None:
     with mock.patch("autogpt.llm.api_manager.ApiManager.get_models") as mock_get_models:
-        mock_get_models.return_value = [{"id": GPT_4_MODEL}]
+        mock_get_models.return_value = [
+            Model(id=GPT_4_MODEL, created=0, object="model", owned_by="AutoGPT")
+        ]
         apply_overrides_to_config(
             config=config,
             gpt4only=True,
diff --git a/autogpts/autogpt/tests/vcr/__init__.py b/autogpts/autogpt/tests/vcr/__init__.py
index 976f4d46d..faef46a68 100644
--- a/autogpts/autogpt/tests/vcr/__init__.py
+++ b/autogpts/autogpt/tests/vcr/__init__.py
@@ -2,8 +2,11 @@ import logging
 import os
 from hashlib import sha256
 
-import openai.api_requestor
 import pytest
+from openai import OpenAI
+from openai._models import FinalRequestOptions
+from openai._types import Omit
+from openai._utils import is_given
 from pytest_mock import MockerFixture
 
 from .vcr_filter import (
@@ -52,30 +55,26 @@ def vcr_cassette_dir(request):
     return os.path.join("tests/vcr_cassettes", test_name)
 
 
-def patch_api_base(requestor: openai.api_requestor.APIRequestor):
-    new_api_base = f"{PROXY}/v1"
-    requestor.api_base = new_api_base
-    return requestor
-
-
 @pytest.fixture
-def patched_api_requestor(mocker: MockerFixture):
-    init_requestor = openai.api_requestor.APIRequestor.__init__
-    prepare_request = openai.api_requestor.APIRequestor._prepare_request_raw
+def cached_openai_client(mocker: MockerFixture) -> OpenAI:
+    client = OpenAI()
+    _prepare_options = client._prepare_options
 
-    def patched_init_requestor(requestor, *args, **kwargs):
-        init_requestor(requestor, *args, **kwargs)
-        patch_api_base(requestor)
+    def _patched_prepare_options(self, options: FinalRequestOptions):
+        _prepare_options(options)
 
-    def patched_prepare_request(self, *args, **kwargs):
-        url, headers, data = prepare_request(self, *args, **kwargs)
+        headers: dict[str, str | Omit] = (
+            {**options.headers} if is_given(options.headers) else {}
+        )
+        options.headers = headers
+        data: dict = options.json_data
 
         if PROXY:
-            headers["AGENT-MODE"] = os.environ.get("AGENT_MODE")
-            headers["AGENT-TYPE"] = os.environ.get("AGENT_TYPE")
+            headers["AGENT-MODE"] = os.environ.get("AGENT_MODE", Omit())
+            headers["AGENT-TYPE"] = os.environ.get("AGENT_TYPE", Omit())
 
-        logging.getLogger("patched_api_requestor").debug(
-            f"Outgoing API request: {headers}\n{data.decode() if data else None}"
+        logging.getLogger("cached_openai_client").debug(
+            f"Outgoing API request: {headers}\n{data if data else None}"
         )
 
         # Add hash header for cheap & fast matching on cassette playback
@@ -83,16 +82,12 @@ def patched_api_requestor(mocker: MockerFixture):
             freeze_request_body(data), usedforsecurity=False
         ).hexdigest()
 
-        return url, headers, data
-
     if PROXY:
-        mocker.patch.object(
-            openai.api_requestor.APIRequestor,
-            "__init__",
-            new=patched_init_requestor,
-        )
+        client.base_url = f"{PROXY}/v1"
     mocker.patch.object(
-        openai.api_requestor.APIRequestor,
-        "_prepare_request_raw",
-        new=patched_prepare_request,
+        client,
+        "_prepare_options",
+        new=_patched_prepare_options,
     )
+
+    return client
diff --git a/autogpts/autogpt/tests/vcr/vcr_filter.py b/autogpts/autogpt/tests/vcr/vcr_filter.py
index 8bbb693b8..77b65d207 100644
--- a/autogpts/autogpt/tests/vcr/vcr_filter.py
+++ b/autogpts/autogpt/tests/vcr/vcr_filter.py
@@ -44,14 +44,9 @@ def replace_message_content(content: str, replacements: List[Dict[str, str]]) ->
     return content
 
 
-def freeze_request_body(json_body: str | bytes) -> bytes:
+def freeze_request_body(body: dict) -> bytes:
     """Remove any dynamic items from the request body"""
 
-    try:
-        body = json.loads(json_body)
-    except ValueError:
-        return json_body if type(json_body) is bytes else json_body.encode()
-
     if "messages" not in body:
         return json.dumps(body, sort_keys=True).encode()
 
@@ -74,9 +69,11 @@ def freeze_request(request: Request) -> Request:
 
     with contextlib.suppress(ValueError):
         request.body = freeze_request_body(
-            request.body.getvalue()
-            if isinstance(request.body, BytesIO)
-            else request.body
+            json.loads(
+                request.body.getvalue()
+                if isinstance(request.body, BytesIO)
+                else request.body
+            )
         )
 
     return request