Azure CosmosDB memory (#3434)

Still needs docs, otherwise works.

langchain/memory/__init__.py

@@ -3,6 +3,7 @@ from langchain.memory.buffer import (
     ConversationStringBufferMemory,
 )
 from langchain.memory.buffer_window import ConversationBufferWindowMemory
+from langchain.memory.chat_message_histories.cosmos_db import CosmosDBChatMessageHistory
 from langchain.memory.chat_message_histories.dynamodb import DynamoDBChatMessageHistory
 from langchain.memory.chat_message_histories.in_memory import ChatMessageHistory
 from langchain.memory.chat_message_histories.postgres import PostgresChatMessageHistory
@@ -40,4 +41,5 @@ __all__ = [
     "DynamoDBChatMessageHistory",
     "PostgresChatMessageHistory",
     "VectorStoreRetrieverMemory",
+    "CosmosDBChatMessageHistory",
 ]

langchain/memory/chat_message_histories/__init__.py

@@ -1,3 +1,4 @@
+from langchain.memory.chat_message_histories.cosmos_db import CosmosDBChatMessageHistory
 from langchain.memory.chat_message_histories.dynamodb import DynamoDBChatMessageHistory
 from langchain.memory.chat_message_histories.file import FileChatMessageHistory
 from langchain.memory.chat_message_histories.postgres import PostgresChatMessageHistory
@@ -8,4 +9,5 @@ __all__ = [
     "RedisChatMessageHistory",
     "PostgresChatMessageHistory",
     "FileChatMessageHistory",
+    "CosmosDBChatMessageHistory",
 ]

langchain/memory/chat_message_histories/cosmos_db.py

@@ -0,0 +1,157 @@
+"""Azure CosmosDB Memory History."""
+from __future__ import annotations
+
+import logging
+from types import TracebackType
+from typing import TYPE_CHECKING, Any, List, Optional, Type
+
+from langchain.schema import (
+    AIMessage,
+    BaseChatMessageHistory,
+    BaseMessage,
+    HumanMessage,
+    messages_from_dict,
+    messages_to_dict,
+)
+
+logger = logging.getLogger(__name__)
+
+if TYPE_CHECKING:
+    from azure.cosmos import ContainerProxy, CosmosClient
+
+
+class CosmosDBChatMessageHistory(BaseChatMessageHistory):
+    """Chat history backed by Azure CosmosDB."""
+
+    def __init__(
+        self,
+        cosmos_endpoint: str,
+        cosmos_database: str,
+        cosmos_container: str,
+        credential: Any,
+        session_id: str,
+        user_id: str,
+        ttl: Optional[int] = None,
+    ):
+        """
+        Initializes a new instance of the CosmosDBChatMessageHistory class.
+
+        :param cosmos_endpoint: The connection endpoint for the Azure Cosmos DB account.
+        :param cosmos_database: The name of the database to use.
+        :param cosmos_container: The name of the container to use.
+        :param credential: The credential to use to authenticate to Azure Cosmos DB.
+        :param session_id: The session ID to use, can be overwritten while loading.
+        :param user_id: The user ID to use, can be overwritten while loading.
+        :param ttl: The time to live (in seconds) to use for documents in the container.
+        """
+        self.cosmos_endpoint = cosmos_endpoint
+        self.cosmos_database = cosmos_database
+        self.cosmos_container = cosmos_container
+        self.credential = credential
+        self.session_id = session_id
+        self.user_id = user_id
+        self.ttl = ttl
+
+        self._client: Optional[CosmosClient] = None
+        self._container: Optional[ContainerProxy] = None
+        self.messages: List[BaseMessage] = []
+
+    def prepare_cosmos(self) -> None:
+        """Prepare the CosmosDB client.
+
+        Use this function or the context manager to make sure your database is ready.
+        """
+        try:
+            from azure.cosmos import (  # pylint: disable=import-outside-toplevel # noqa: E501
+                CosmosClient,
+                PartitionKey,
+            )
+        except ImportError as exc:
+            raise ImportError(
+                "You must install the azure-cosmos package to use the CosmosDBChatMessageHistory."  # noqa: E501
+            ) from exc
+        self._client = CosmosClient(
+            url=self.cosmos_endpoint, credential=self.credential
+        )
+        database = self._client.create_database_if_not_exists(self.cosmos_database)
+        self._container = database.create_container_if_not_exists(
+            self.cosmos_container,
+            partition_key=PartitionKey("/user_id"),
+            default_ttl=self.ttl,
+        )
+        self.load_messages()
+
+    def __enter__(self) -> "CosmosDBChatMessageHistory":
+        """Context manager entry point."""
+        if self._client:
+            self._client.__enter__()
+            self.prepare_cosmos()
+            return self
+        raise ValueError("Client not initialized")
+
+    def __exit__(
+        self,
+        exc_type: Optional[Type[BaseException]],
+        exc_val: Optional[BaseException],
+        traceback: Optional[TracebackType],
+    ) -> None:
+        """Context manager exit"""
+        self.upsert_messages()
+        if self._client:
+            self._client.__exit__(exc_type, exc_val, traceback)
+
+    def load_messages(self) -> None:
+        """Retrieve the messages from Cosmos"""
+        if not self._container:
+            raise ValueError("Container not initialized")
+        try:
+            from azure.cosmos.exceptions import (  # pylint: disable=import-outside-toplevel # noqa: E501
+                CosmosHttpResponseError,
+            )
+        except ImportError as exc:
+            raise ImportError(
+                "You must install the azure-cosmos package to use the CosmosDBChatMessageHistory."  # noqa: E501
+            ) from exc
+        try:
+            item = self._container.read_item(
+                item=self.session_id, partition_key=self.user_id
+            )
+        except CosmosHttpResponseError:
+            logger.info("no session found")
+            return
+        if (
+            "messages" in item
+            and len(item["messages"]) > 0
+            and isinstance(item["messages"][0], list)
+        ):
+            self.messages = messages_from_dict(item["messages"])
+
+    def add_user_message(self, message: str) -> None:
+        """Add a user message to the memory."""
+        self.upsert_messages(HumanMessage(content=message))
+
+    def add_ai_message(self, message: str) -> None:
+        """Add a AI message to the memory."""
+        self.upsert_messages(AIMessage(content=message))
+
+    def upsert_messages(self, new_message: Optional[BaseMessage] = None) -> None:
+        """Update the cosmosdb item."""
+        if new_message:
+            self.messages.append(new_message)
+        if not self._container:
+            raise ValueError("Container not initialized")
+        self._container.upsert_item(
+            body={
+                "id": self.session_id,
+                "user_id": self.user_id,
+                "messages": messages_to_dict(self.messages),
+            }
+        )
+
+    def clear(self) -> None:
+        """Clear session memory from this memory and cosmos."""
+        self.messages = []
+        if self._container:
+            self._container.delete_item(
+                item=self.session_id, partition_key=self.user_id
+            )

poetry.lock

@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry and should not be changed by hand.
 
 [[package]]
 name = "absl-py"
@@ -14,18 +14,18 @@ files = [
 
 [[package]]
 name = "aioboto3"
-version = "10.4.0"
+version = "11.1.0"
 description = "Async boto3 wrapper"
 category = "main"
 optional = false
 python-versions = ">=3.7,<4.0"
 files = [
-    {file = "aioboto3-10.4.0-py3-none-any.whl", hash = "sha256:6d0f0bf6af0168c27828e108f1a24182669a6ea6939437c27638caf06a693403"},
-    {file = "aioboto3-10.4.0.tar.gz", hash = "sha256:e52b5f96b67031ddcbabcc55015bad3f851d3d4e6d5bfc7a1d1518d90e0c1fd8"},
+    {file = "aioboto3-11.1.0-py3-none-any.whl", hash = "sha256:9c32b0d89c41f7dbc55e96af49335377b2890d98f395a963a6e671f7b10268f6"},
+    {file = "aioboto3-11.1.0.tar.gz", hash = "sha256:ebdca2655b28571ab0dcda486e2cbd9d65d50c677c03f655781377950023c618"},
 ]
 
 [package.dependencies]
-aiobotocore = {version = "2.4.2", extras = ["boto3"]}
+aiobotocore = {version = "2.5.0", extras = ["boto3"]}
 
 [package.extras]
 chalice = ["chalice (>=1.24.0)"]
@@ -33,26 +33,26 @@ s3cse = ["cryptography (>=2.3.1)"]
 
 [[package]]
 name = "aiobotocore"
-version = "2.4.2"
+version = "2.5.0"
 description = "Async client for aws services using botocore and aiohttp"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "aiobotocore-2.4.2-py3-none-any.whl", hash = "sha256:4acd1ebe2e44be4b100aa553910bda899f6dc090b3da2bc1cf3d5de2146ed208"},
-    {file = "aiobotocore-2.4.2.tar.gz", hash = "sha256:0603b74a582dffa7511ce7548d07dc9b10ec87bc5fb657eb0b34f9bd490958bf"},
+    {file = "aiobotocore-2.5.0-py3-none-any.whl", hash = "sha256:9a2a022d7b78ec9a2af0de589916d2721cddbf96264401b78d7a73c1a1435f3b"},
+    {file = "aiobotocore-2.5.0.tar.gz", hash = "sha256:6a5b397cddd4f81026aa91a14c7dd2650727425740a5af8ba75127ff663faf67"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.3.1"
 aioitertools = ">=0.5.1"
-boto3 = {version = ">=1.24.59,<1.24.60", optional = true, markers = "extra == \"boto3\""}
-botocore = ">=1.27.59,<1.27.60"
+boto3 = {version = ">=1.26.76,<1.26.77", optional = true, markers = "extra == \"boto3\""}
+botocore = ">=1.29.76,<1.29.77"
 wrapt = ">=1.10.10"
 
 [package.extras]
-awscli = ["awscli (>=1.25.60,<1.25.61)"]
-boto3 = ["boto3 (>=1.24.59,<1.24.60)"]
+awscli = ["awscli (>=1.27.76,<1.27.77)"]
+boto3 = ["boto3 (>=1.26.76,<1.26.77)"]
 
 [[package]]
 name = "aiodns"
@@ -586,6 +586,21 @@ typing-extensions = ">=4.3.0"
 [package.extras]
 aio = ["aiohttp (>=3.0)"]
 
+[[package]]
+name = "azure-cosmos"
+version = "4.4.0b1"
+description = "Microsoft Azure Cosmos Client Library for Python"
+category = "main"
+optional = true
+python-versions = ">=3.6"
+files = [
+    {file = "azure-cosmos-4.4.0b1.zip", hash = "sha256:42e7c9c749784f664d9468b10ea4031f86552df99f4e12b77d9f75da048efa5d"},
+    {file = "azure_cosmos-4.4.0b1-py3-none-any.whl", hash = "sha256:4dc2c438e5e27bd9e4e70539babdea9dd6c09fb4ac73936680609668f2282264"},
+]
+
+[package.dependencies]
+azure-core = ">=1.23.0,<2.0.0"
+
 [[package]]
 name = "azure-identity"
 version = "1.12.0"
@@ -775,18 +790,18 @@ numpy = ">=1.15.0"
 
 [[package]]
 name = "boto3"
-version = "1.24.59"
+version = "1.26.76"
 description = "The AWS SDK for Python"
 category = "main"
 optional = false
 python-versions = ">= 3.7"
 files = [
-    {file = "boto3-1.24.59-py3-none-any.whl", hash = "sha256:34ab44146a2c4e7f4e72737f4b27e6eb5e0a7855c2f4599e3d9199b6a0a2d575"},
-    {file = "boto3-1.24.59.tar.gz", hash = "sha256:a50b4323f9579cfe22fcf5531fbd40b567d4d74c1adce06aeb5c95fce2a6fb40"},
+    {file = "boto3-1.26.76-py3-none-any.whl", hash = "sha256:b4c2969b7677762914394b8273cc1905dfe5b71f250741c1a575487ae357e729"},
+    {file = "boto3-1.26.76.tar.gz", hash = "sha256:30c7d967ed1c6b5a05643e42cae9d4d36c3f1cb6782637ddc7007a104cfd9027"},
 ]
 
 [package.dependencies]
-botocore = ">=1.27.59,<1.28.0"
+botocore = ">=1.29.76,<1.30.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.6.0,<0.7.0"
 
@@ -795,14 +810,14 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.27.59"
+version = "1.29.76"
 description = "Low-level, data-driven core of boto 3."
 category = "main"
 optional = false
 python-versions = ">= 3.7"
 files = [
-    {file = "botocore-1.27.59-py3-none-any.whl", hash = "sha256:69d756791fc024bda54f6c53f71ae34e695ee41bbbc1743d9179c4837a4929da"},
-    {file = "botocore-1.27.59.tar.gz", hash = "sha256:eda4aed6ee719a745d1288eaf1beb12f6f6448ad1fa12f159405db14ba9c92cf"},
+    {file = "botocore-1.29.76-py3-none-any.whl", hash = "sha256:70735b00cd529f152992231ca6757e458e5ec25db43767b3526e9a35b2f143b7"},
+    {file = "botocore-1.29.76.tar.gz", hash = "sha256:c2f67b6b3f8acf2968eafca06526f07b9fb0d27bac4c68a635d51abb675134a7"},
 ]
 
 [package.dependencies]
@@ -811,7 +826,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = ">=1.25.4,<1.27"
 
 [package.extras]
-crt = ["awscrt (==0.14.0)"]
+crt = ["awscrt (==0.16.9)"]
 
 [[package]]
 name = "cachetools"
@@ -2169,20 +2184,21 @@ grpc = ["grpcio (>=1.44.0,<2.0.0dev)"]
 
 [[package]]
 name = "gptcache"
-version = "0.1.15"
+version = "0.1.18"
 description = "GPTCache, a powerful caching library that can be used to speed up and lower the cost of chat applications that rely on the LLM service. GPTCache works as a memcache for AIGC applications, similar to how Redis works for traditional applications."
 category = "main"
 optional = false
 python-versions = ">=3.8.1"
 files = [
-    {file = "gptcache-0.1.15-py3-none-any.whl", hash = "sha256:b4ba6aa19dbe1a55ae449bf96dec6bc79a3d455b4767c4f2ec35b118cd4dbc05"},
-    {file = "gptcache-0.1.15.tar.gz", hash = "sha256:d8f4a143ac902d3272af6fa34958c3f615caad147541c20d8d0cbea74985e27d"},
+    {file = "gptcache-0.1.18-py3-none-any.whl", hash = "sha256:0f6a4820812df68c85fb34a74d8501ad7ee039a595c1eb2bc573e352dfea81c3"},
+    {file = "gptcache-0.1.18.tar.gz", hash = "sha256:86a80865d72822f202e824f6ee8b1fa716bd3f592e9d14faa8cdf30d7cf642aa"},
 ]
 
 [package.dependencies]
 cachetools = "*"
 numpy = "*"
 openai = "*"
+requests = "*"
 
 [[package]]
 name = "greenlet"
@@ -3217,31 +3233,31 @@ qtconsole = "*"
 
 [[package]]
 name = "jupyter-cache"
-version = "0.5.0"
+version = "0.6.1"
 description = "A defined interface for working with a cache of jupyter notebooks."
 category = "dev"
 optional = false
-python-versions = "~=3.7"
+python-versions = "~=3.8"
 files = [
-    {file = "jupyter-cache-0.5.0.tar.gz", hash = "sha256:87408030a4c8c14fe3f8fe62e6ceeb24c84e544c7ced20bfee45968053d07801"},
-    {file = "jupyter_cache-0.5.0-py3-none-any.whl", hash = "sha256:642e434b9b75c4b94dc8346eaf5a639c8926a0673b87e5e8ef6460d5cf2c9516"},
+    {file = "jupyter-cache-0.6.1.tar.gz", hash = "sha256:26f83901143edf4af2f3ff5a91e2d2ad298e46e2cee03c8071d37a23a63ccbfc"},
+    {file = "jupyter_cache-0.6.1-py3-none-any.whl", hash = "sha256:2fce7d4975805c77f75bdfc1bc2e82bc538b8e5b1af27f2f5e06d55b9f996a82"},
 ]
 
 [package.dependencies]
 attrs = "*"
 click = "*"
 importlib-metadata = "*"
-nbclient = ">=0.2,<0.6"
+nbclient = ">=0.2,<0.8"
 nbformat = "*"
 pyyaml = "*"
-sqlalchemy = ">=1.3.12,<1.5"
+sqlalchemy = ">=1.3.12,<3"
 tabulate = "*"
 
 [package.extras]
 cli = ["click-log"]
-code-style = ["pre-commit (>=2.12,<3.0)"]
-rtd = ["jupytext", "myst-nb (>=0.12.3,<0.13.0)", "nbdime", "sphinx-book-theme (>=0.1.1,<0.2.0)", "sphinx-copybutton"]
-testing = ["coverage", "ipykernel", "jupytext", "matplotlib", "nbdime", "nbformat (>=5.1)", "numpy", "pandas", "pytest (>=6,<7)", "pytest-cov", "pytest-regressions", "sympy"]
+code-style = ["pre-commit (>=2.12,<4.0)"]
+rtd = ["ipykernel", "jupytext", "myst-nb", "nbdime", "sphinx-book-theme", "sphinx-copybutton"]
+testing = ["coverage", "ipykernel", "jupytext", "matplotlib", "nbdime", "nbformat (>=5.1)", "numpy", "pandas", "pytest (>=6,<8)", "pytest-cov", "pytest-regressions", "sympy"]
 
 [[package]]
 name = "jupyter-client"
@@ -3854,18 +3870,18 @@ files = [
 
 [[package]]
 name = "msal"
-version = "1.21.0"
+version = "1.22.0"
 description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect."
 category = "main"
 optional = true
 python-versions = "*"
 files = [
-    {file = "msal-1.21.0-py2.py3-none-any.whl", hash = "sha256:e8444617c1eccdff7bb73f5d4f94036002accea4a2c05f8f39c9efb5bd2b0c6a"},
-    {file = "msal-1.21.0.tar.gz", hash = "sha256:96b5c867830fd116e5f7d0ec8ef1b238b4cda4d1aea86d8fecf518260e136fbf"},
+    {file = "msal-1.22.0-py2.py3-none-any.whl", hash = "sha256:9120b7eafdf061c92f7b3d744e5f325fca35873445fa8ffebb40b1086a13dd58"},
+    {file = "msal-1.22.0.tar.gz", hash = "sha256:8a82f5375642c1625c89058018430294c109440dce42ea667d466c2cab520acd"},
 ]
 
 [package.dependencies]
-cryptography = ">=0.6,<41"
+cryptography = ">=0.6,<43"
 PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]}
 requests = ">=2.0.0,<3"
 
@@ -4105,21 +4121,21 @@ files = [
 
 [[package]]
 name = "myst-nb"
-version = "0.17.1"
+version = "0.17.2"
 description = "A Jupyter Notebook Sphinx reader built on top of the MyST markdown parser."
 category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "myst-nb-0.17.1.tar.gz", hash = "sha256:14df725f3e00cb5efef4f863bf0c273490c8c662dfee39ed8a7b374bf2561933"},
-    {file = "myst_nb-0.17.1-py3-none-any.whl", hash = "sha256:c268d11aa4936b4bdd18b3b2cd5baa14fdb80c80d2983c02329ade52010f6260"},
+    {file = "myst-nb-0.17.2.tar.gz", hash = "sha256:0f61386515fab07c73646adca97fff2f69f41e90d313a260217c5bbe419d858b"},
+    {file = "myst_nb-0.17.2-py3-none-any.whl", hash = "sha256:132ca4d0f5c308fdd4b6fdaba077712e28e119ccdafd04d6e41b51aac5483494"},
 ]
 
 [package.dependencies]
 importlib_metadata = "*"
 ipykernel = "*"
 ipython = "*"
-jupyter-cache = ">=0.5.0,<0.6.0"
+jupyter-cache = ">=0.5,<0.7"
 myst-parser = ">=0.18.0,<0.19.0"
 nbclient = "*"
 nbformat = ">=5.0,<6.0"
@@ -4129,8 +4145,8 @@ typing-extensions = "*"
 
 [package.extras]
 code-style = ["pre-commit"]
-rtd = ["alabaster", "altair", "bokeh", "coconut (>=1.4.3,<1.5.0)", "ipykernel (>=5.5,<6.0)", "ipywidgets", "jupytext (>=1.11.2,<1.12.0)", "matplotlib", "numpy", "pandas", "plotly", "sphinx-book-theme (>=0.3.0,<0.4.0)", "sphinx-copybutton", "sphinx-design (>=0.1.0,<0.2.0)", "sphinxcontrib-bibtex", "sympy"]
-testing = ["beautifulsoup4", "coverage (>=6.4,<7.0)", "ipykernel (>=5.5,<6.0)", "ipython (!=8.1.0,<8.5)", "ipywidgets (>=8)", "jupytext (>=1.11.2,<1.12.0)", "matplotlib (>=3.5.3,<3.6)", "nbdime", "numpy", "pandas", "pytest (>=7.1,<8.0)", "pytest-cov (>=3.0,<4.0)", "pytest-param-files (>=0.3.3,<0.4.0)", "pytest-regressions", "sympy (>=1.10.1)"]
+rtd = ["alabaster", "altair", "bokeh", "coconut (>=1.4.3,<2.3.0)", "ipykernel (>=5.5,<6.0)", "ipywidgets", "jupytext (>=1.11.2,<1.12.0)", "matplotlib", "numpy", "pandas", "plotly", "sphinx-book-theme (>=0.3.0,<0.4.0)", "sphinx-copybutton", "sphinx-design (>=0.4.0,<0.5.0)", "sphinxcontrib-bibtex", "sympy"]
+testing = ["beautifulsoup4", "coverage (>=6.4,<8.0)", "ipykernel (>=5.5,<6.0)", "ipython (!=8.1.0,<8.5)", "ipywidgets (>=8)", "jupytext (>=1.11.2,<1.12.0)", "matplotlib (>=3.5.3,<3.6)", "nbdime", "numpy", "pandas", "pytest (>=7.1,<8.0)", "pytest-cov (>=3,<5)", "pytest-param-files (>=0.3.3,<0.4.0)", "pytest-regressions", "sympy (>=1.10.1)"]
 
 [[package]]
 name = "myst-parser"
@@ -4197,25 +4213,26 @@ test = ["coverage", "nbval", "pytest", "pytest-cov", "pytest-jupyter", "pytest-p
 
 [[package]]
 name = "nbclient"
-version = "0.5.13"
+version = "0.7.3"
 description = "A client library for executing notebooks. Formerly nbconvert's ExecutePreprocessor."
 category = "dev"
 optional = false
 python-versions = ">=3.7.0"
 files = [
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 ]
 
 [package.dependencies]
-jupyter-client = ">=6.1.5"
-nbformat = ">=5.0"
-nest-asyncio = "*"
-traitlets = ">=5.0.0"
+jupyter-client = ">=6.1.12"
+jupyter-core = ">=4.12,<5.0.0 || >=5.1.0"
+nbformat = ">=5.1"
+traitlets = ">=5.3"
 
 [package.extras]
-sphinx = ["Sphinx (>=1.7)", "mock", "moto", "myst-parser", "sphinx-book-theme"]
-test = ["black", "check-manifest", "flake8", "ipykernel", "ipython (<8.0.0)", "ipywidgets (<8.0.0)", "mypy", "pip (>=18.1)", "pytest (>=4.1)", "pytest-asyncio", "pytest-cov (>=2.6.1)", "setuptools (>=38.6.0)", "twine (>=1.11.0)", "wheel (>=0.31.0)", "xmltodict"]
+dev = ["pre-commit"]
+docs = ["autodoc-traits", "mock", "moto", "myst-parser", "nbclient[test]", "sphinx (>=1.7)", "sphinx-book-theme", "sphinxcontrib-spelling"]
+test = ["flaky", "ipykernel", "ipython", "ipywidgets", "nbconvert (>=7.0.0)", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov (>=4.0)", "testpath", "xmltodict"]
 
 [[package]]
 name = "nbconvert"
@@ -4331,14 +4348,14 @@ test = ["codecov (>=2.1)", "pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
 [[package]]
 name = "nlpcloud"
-version = "1.0.40"
+version = "1.0.41"
 description = "Python client for the NLP Cloud API"
 category = "main"
 optional = true
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -4529,40 +4546,40 @@ numpy = ">=1.13.3"
 
 [[package]]
 name = "numpy"
-version = "1.24.2"
+version = "1.24.3"
 description = "Fundamental package for array computing in Python"
 category = "main"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [[package]]
@@ -5407,14 +5424,14 @@ tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "p
 
 [[package]]
 name = "posthog"
-version = "3.0.0"
+version = "3.0.1"
 description = "Integrate PostHog into any python application."
 category = "dev"
 optional = false
 python-versions = "*"
 files = [
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-    {file = "posthog-3.0.0.tar.gz", hash = "sha256:faa5689fe031815416bd8125da2e35920aa59a6911126dcaf4a38f098e7dbff5"},
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 ]
 
 [package.dependencies]
@@ -5745,30 +5762,30 @@ numpy = ">=1.16.6"
 
 [[package]]
 name = "pyasn1"
-version = "0.4.8"
-description = "ASN.1 types and codecs"
+version = "0.5.0"
+description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
 category = "main"
 optional = true
-python-versions = "*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 files = [
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 ]
 
 [[package]]
 name = "pyasn1-modules"
-version = "0.2.8"
-description = "A collection of ASN.1-based protocols modules."
+version = "0.3.0"
+description = "A collection of ASN.1-based protocols modules"
 category = "main"
 optional = true
-python-versions = "*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
 files = [
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 ]
 
 [package.dependencies]
-pyasn1 = ">=0.4.6,<0.5.0"
+pyasn1 = ">=0.4.6,<0.6.0"
 
 [[package]]
 name = "pycares"
@@ -6015,14 +6032,14 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pypdf"
-version = "3.8.0"
+version = "3.8.1"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
 category = "main"
 optional = true
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
@@ -6482,14 +6499,14 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "qdrant-client"
-version = "1.1.4"
+version = "1.1.5"
 description = "Client library for the Qdrant vector search engine"
 category = "main"
 optional = true
 python-versions = ">=3.7,<3.12"
 files = [
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+    {file = "qdrant_client-1.1.5.tar.gz", hash = "sha256:bb9a99edef0fcc26284e2b8038157ec77c3ceec982204be4eade4aef83f9c9e0"},
 ]
 
 [package.dependencies]
@@ -6984,14 +7001,14 @@ files = [
 
 [[package]]
 name = "setuptools"
-version = "67.6.1"
+version = "67.7.1"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
@@ -7507,7 +7524,7 @@ files = [
 ]
 
 [package.dependencies]
-greenlet = {version = "!=0.4.17", markers = "python_version >= \"3\" and platform_machine == \"aarch64\" or python_version >= \"3\" and platform_machine == \"ppc64le\" or python_version >= \"3\" and platform_machine == \"x86_64\" or python_version >= \"3\" and platform_machine == \"amd64\" or python_version >= \"3\" and platform_machine == \"AMD64\" or python_version >= \"3\" and platform_machine == \"win32\" or python_version >= \"3\" and platform_machine == \"WIN32\""}
+greenlet = {version = "!=0.4.17", markers = "python_version >= \"3\" and (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\")"}
 
 [package.extras]
 aiomysql = ["aiomysql", "greenlet (!=0.4.17)"]
@@ -7874,14 +7891,14 @@ tests = ["absl-py", "pytest", "tensorflow-datasets (>=3.2.0)"]
 
 [[package]]
 name = "termcolor"
-version = "2.2.0"
+version = "2.3.0"
 description = "ANSI color formatting for output in terminal"
 category = "main"
 optional = true
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
@@ -8222,23 +8239,23 @@ scipy = ["scipy"]
 
 [[package]]
 name = "tornado"
-version = "6.3"
+version = "6.3.1"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 category = "dev"
 optional = false
 python-versions = ">= 3.8"
 files = [
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 ]
 
 [[package]]
@@ -8743,14 +8760,14 @@ files = [
 
 [[package]]
 name = "weaviate-client"
-version = "3.15.6"
+version = "3.16.0"
 description = "A python native weaviate client"
 category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -8759,6 +8776,9 @@ requests = ">=2.28.0,<2.29.0"
 tqdm = ">=4.59.0,<5.0.0"
 validators = ">=0.18.2,<=0.21.0"
 
+[package.extras]
+grpc = ["grpcio", "grpcio-tools"]
+
 [[package]]
 name = "webcolors"
 version = "1.13"
@@ -9105,86 +9125,86 @@ files = [
 
 [[package]]
 name = "yarl"
-version = "1.8.2"
+version = "1.9.1"
 description = "Yet another URL library"
 category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "yarl-1.9.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1baf8cdaaab65d9ccedbf8748d626ad648b74b0a4d033e356a2f3024709fb82f"},
+    {file = "yarl-1.9.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:27efc2e324f72df02818cd72d7674b1f28b80ab49f33a94f37c6473c8166ce49"},
+    {file = "yarl-1.9.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:ca14b84091700ae7c1fcd3a6000bd4ec1a3035009b8bcb94f246741ca840bb22"},
+    {file = "yarl-1.9.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:c3ca8d71b23bdf164b36d06df2298ec8a5bd3de42b17bf3e0e8e6a7489195f2c"},
+    {file = "yarl-1.9.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:8c72a1dc7e2ea882cd3df0417c808ad3b69e559acdc43f3b096d67f2fb801ada"},
+    {file = "yarl-1.9.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d966cd59df9a4b218480562e8daab39e87e746b78a96add51a3ab01636fc4291"},
+    {file = "yarl-1.9.1-cp39-cp39-win32.whl", hash = "sha256:518a92a34c741836a315150460b5c1c71ae782d569eabd7acf53372e437709f7"},
+    {file = "yarl-1.9.1-cp39-cp39-win_amd64.whl", hash = "sha256:78755ce43b6e827e65ec0c68be832f86d059fcf05d4b33562745ebcfa91b26b1"},
+    {file = "yarl-1.9.1.tar.gz", hash = "sha256:5ce0bcab7ec759062c818d73837644cde567ab8aa1e0d6c45db38dfb7c284441"},
 ]
 
 [package.dependencies]
@@ -9267,13 +9287,15 @@ cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\
 cffi = ["cffi (>=1.11)"]
 
 [extras]
-all = ["aleph-alpha-client", "anthropic", "arxiv", "atlassian-python-api", "azure-identity", "beautifulsoup4", "clickhouse-connect", "cohere", "deeplake", "duckduckgo-search", "elasticsearch", "faiss-cpu", "google-api-python-client", "google-search-results", "gptcache", "html2text", "huggingface_hub", "jina", "jinja2", "manifest-ml", "networkx", "nlpcloud", "nltk", "nomic", "openai", "opensearch-py", "pgvector", "pinecone-client", "pinecone-text", "psycopg2-binary", "pyowm", "pypdf", "pytesseract", "qdrant-client", "redis", "sentence-transformers", "spacy", "tensorflow-text", "tiktoken", "torch", "transformers", "weaviate-client", "wikipedia", "wolframalpha"]
+all = ["anthropic", "cohere", "openai", "nlpcloud", "huggingface_hub", "jina", "manifest-ml", "elasticsearch", "opensearch-py", "google-search-results", "faiss-cpu", "sentence-transformers", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "pinecone-text", "weaviate-client", "redis", "google-api-python-client", "wolframalpha", "qdrant-client", "tensorflow-text", "pypdf", "networkx", "nomic", "aleph-alpha-client", "deeplake", "pgvector", "psycopg2-binary", "pyowm", "pytesseract", "html2text", "atlassian-python-api", "gptcache", "duckduckgo-search", "arxiv", "azure-identity", "clickhouse-connect", "azure-cosmos"]
+azure = ["azure-identity", "azure-cosmos", "openai"]
 cohere = ["cohere"]
-llms = ["anthropic", "cohere", "huggingface_hub", "manifest-ml", "nlpcloud", "openai", "torch", "transformers"]
+embeddings = ["sentence-transformers"]
+llms = ["anthropic", "cohere", "openai", "nlpcloud", "huggingface_hub", "manifest-ml", "torch", "transformers"]
 openai = ["openai"]
 qdrant = ["qdrant-client"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "ab6ea1c53c7a6e792d5bdcf8865b87e5dcfe4c89080c18b356dc4ed8a17cc3a3"
+content-hash = "1dd0c2f259c674c2f3f2e2212459bf7a056f72f25e0a271194ad7ac8f70a3ac1"

pyproject.toml

@@ -69,7 +69,7 @@ pytesseract = {version = "^0.3.10", optional=true}
 html2text = {version="^2020.1.16", optional=true}
 numexpr = "^2.8.4"
 duckduckgo-search = {version="^2.8.6", optional=true}
-
+azure-cosmos = {version="^4.4.0b1", optional=true}
 
 [tool.poetry.group.docs.dependencies]
 autodoc_pydantic = "^1.8.0"
@@ -146,7 +146,8 @@ qdrant = ["qdrant-client"]
 openai = ["openai"]
 cohere = ["cohere"]
 embeddings = ["sentence-transformers"]
-all = ["anthropic", "cohere", "openai", "nlpcloud", "huggingface_hub", "jina", "manifest-ml", "elasticsearch", "opensearch-py", "google-search-results", "faiss-cpu", "sentence-transformers", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "pinecone-text", "weaviate-client", "redis", "google-api-python-client", "wolframalpha", "qdrant-client", "tensorflow-text", "pypdf", "networkx", "nomic", "aleph-alpha-client", "deeplake", "pgvector", "psycopg2-binary", "boto3", "pyowm", "pytesseract", "html2text", "atlassian-python-api", "gptcache", "duckduckgo-search", "arxiv", "azure-identity", "clickhouse-connect"]
+azure = ["azure-identity", "azure-cosmos", "openai"]
+all = ["anthropic", "cohere", "openai", "nlpcloud", "huggingface_hub", "jina", "manifest-ml", "elasticsearch", "opensearch-py", "google-search-results", "faiss-cpu", "sentence-transformers", "transformers", "spacy", "nltk", "wikipedia", "beautifulsoup4", "tiktoken", "torch", "jinja2", "pinecone-client", "pinecone-text", "weaviate-client", "redis", "google-api-python-client", "wolframalpha", "qdrant-client", "tensorflow-text", "pypdf", "networkx", "nomic", "aleph-alpha-client", "deeplake", "pgvector", "psycopg2-binary", "boto3", "pyowm", "pytesseract", "html2text", "atlassian-python-api", "gptcache", "duckduckgo-search", "arxiv", "azure-identity", "clickhouse-connect", "azure-cosmos"]
 
 [tool.ruff]
 select = [