diff --git a/libs/community/langchain_community/utilities/__init__.py b/libs/community/langchain_community/utilities/__init__.py
index ac91e964d2de9..2af2c51ac6ccf 100644
--- a/libs/community/langchain_community/utilities/__init__.py
+++ b/libs/community/langchain_community/utilities/__init__.py
@@ -272,6 +272,24 @@ def _import_nasa() -> Any:
     return NasaAPIWrapper
 
 
+def _import_nvidia_riva_asr() -> Any:
+    from langchain_community.utilities.nvidia_riva import RivaASR
+
+    return RivaASR
+
+
+def _import_nvidia_riva_tts() -> Any:
+    from langchain_community.utilities.nvidia_riva import RivaTTS
+
+    return RivaTTS
+
+
+def _import_nvidia_riva_stream() -> Any:
+    from langchain_community.utilities.nvidia_riva import AudioStream
+
+    return AudioStream
+
+
 def __getattr__(name: str) -> Any:
     if name == "AlphaVantageAPIWrapper":
         return _import_alpha_vantage()
@@ -321,6 +339,12 @@ def __getattr__(name: str) -> Any:
         return _import_metaphor_search()
     elif name == "NasaAPIWrapper":
         return _import_nasa()
+    elif name == "NVIDIARivaASR":
+        return _import_nvidia_riva_asr()
+    elif name == "NVIDIARivaStream":
+        return _import_nvidia_riva_stream()
+    elif name == "NVIDIARivaTTS":
+        return _import_nvidia_riva_tts()
     elif name == "OpenWeatherMapAPIWrapper":
         return _import_openweathermap()
     elif name == "OutlineAPIWrapper":
@@ -388,6 +412,9 @@ def __getattr__(name: str) -> Any:
     "MerriamWebsterAPIWrapper",
     "MetaphorSearchAPIWrapper",
     "NasaAPIWrapper",
+    "NVIDIARivaASR",
+    "NVIDIARivaStream",
+    "NVIDIARivaTTS",
     "OpenWeatherMapAPIWrapper",
     "OutlineAPIWrapper",
     "Portkey",
diff --git a/libs/community/langchain_community/utilities/nvidia_riva.py b/libs/community/langchain_community/utilities/nvidia_riva.py
new file mode 100644
index 0000000000000..e56a676df1d22
--- /dev/null
+++ b/libs/community/langchain_community/utilities/nvidia_riva.py
@@ -0,0 +1,666 @@
+"""A common module for NVIDIA Riva Runnables."""
+import asyncio
+import logging
+import pathlib
+import queue
+import tempfile
+import threading
+import wave
+from enum import Enum
+from typing import (
+    TYPE_CHECKING,
+    Any,
+    AsyncGenerator,
+    AsyncIterator,
+    Dict,
+    Generator,
+    Iterator,
+    List,
+    Optional,
+    Tuple,
+    Union,
+    cast,
+)
+
+from langchain_core.messages import AnyMessage, BaseMessage
+from langchain_core.prompt_values import PromptValue
+from langchain_core.pydantic_v1 import (
+    AnyHttpUrl,
+    BaseModel,
+    Field,
+    parse_obj_as,
+    root_validator,
+    validator,
+)
+from langchain_core.runnables import RunnableConfig, RunnableSerializable
+
+if TYPE_CHECKING:
+    import riva.client
+    import riva.client.proto.riva_asr_pb2 as rasr
+
+_LOGGER = logging.getLogger(__name__)
+_QUEUE_GET_TIMEOUT = 0.5
+_MAX_TEXT_LENGTH = 400
+_SENTENCE_TERMINATORS = ("\n", ".", "!", "?", "¡", "¿")
+
+
+# COMMON utilities used by all Riva Runnables
+def _import_riva_client() -> "riva.client":
+    """Import the riva client and raise an error on failure."""
+    try:
+        # pylint: disable-next=import-outside-toplevel # this client library is optional
+        import riva.client
+    except ImportError as err:
+        raise ImportError(
+            "Could not import the NVIDIA Riva client library. "
+            "Please install it with `pip install nvidia-riva-client`."
+        ) from err
+    return riva.client
+
+
+class SentinelT:  # pylint: disable=too-few-public-methods
+    """An empty Sentinel type."""
+
+
+HANGUP = SentinelT()
+_TRANSFORM_END = SentinelT()
+
+
+class RivaAudioEncoding(str, Enum):
+    """An enum of the possible choices for Riva audio encoding.
+
+    The list of types exposed by the Riva GRPC Protobuf files can be found
+    with the following commands:
+    ```python
+    import riva.client
+    print(riva.client.AudioEncoding.keys())
+    ```
+    """
+
+    ALAW = "ALAW"
+    ENCODING_UNSPECIFIED = "ENCODING_UNSPECIFIED"
+    FLAC = "FLAC"
+    LINEAR_PCM = "LINEAR_PCM"
+    MULAW = "MULAW"
+    OGGOPUS = "OGGOPUS"
+
+    @classmethod
+    def from_wave_format_code(cls, format_code: int) -> "RivaAudioEncoding":
+        """Return the audio encoding specified by the format code in the wave file.
+
+        ref: https://mmsp.ece.mcgill.ca/Documents/AudioFormats/WAVE/WAVE.html
+        """
+        try:
+            return {1: cls.LINEAR_PCM, 6: cls.ALAW, 7: cls.MULAW}[format_code]
+        except KeyError as err:
+            raise NotImplementedError(
+                "The following wave file format code is "
+                f"not supported by Riva: {format_code}"
+            ) from err
+
+    @property
+    def riva_pb2(self) -> "riva.client.AudioEncoding":
+        """Returns the Riva API object for the encoding."""
+        riva_client = _import_riva_client()
+        return getattr(riva_client.AudioEncoding, self)
+
+
+class RivaAuthMixin(BaseModel):
+    """Configuration for the authentication to a Riva service connection."""
+
+    url: Union[AnyHttpUrl, str] = Field(
+        AnyHttpUrl("http://localhost:50051", scheme="http"),
+        description="The full URL where the Riva service can be found.",
+        examples=["http://localhost:50051", "https://user@pass:riva.example.com"],
+    )
+    ssl_cert: Optional[str] = Field(
+        None,
+        description="A full path to the file where Riva's public ssl key can be read.",
+    )
+
+    @property
+    def auth(self) -> "riva.client.Auth":
+        """Return a riva client auth object."""
+        riva_client = _import_riva_client()
+        url = cast(AnyHttpUrl, self.url)
+        use_ssl = url.scheme == "https"  # pylint: disable=no-member # false positive
+        url_no_scheme = str(self.url).split("/")[2]
+        return riva_client.Auth(
+            ssl_cert=self.ssl_cert, use_ssl=use_ssl, uri=url_no_scheme
+        )
+
+    @validator("url", pre=True, allow_reuse=True)
+    @classmethod
+    def _validate_url(cls, val: Any) -> AnyHttpUrl:
+        """Do some initial conversations for the URL before checking."""
+        if isinstance(val, str):
+            return cast(AnyHttpUrl, parse_obj_as(AnyHttpUrl, val))
+        return cast(AnyHttpUrl, val)
+
+
+class RivaCommonConfigMixin(BaseModel):
+    """A collection of common Riva settings."""
+
+    encoding: RivaAudioEncoding = Field(
+        default=RivaAudioEncoding.LINEAR_PCM,
+        description="The encoding on the audio stream.",
+    )
+    sample_rate_hertz: int = Field(
+        default=8000, description="The sample rate frequency of audio stream."
+    )
+    language_code: str = Field(
+        default="en-US",
+        description=(
+            "The [BCP-47 language code]"
+            "(https://www.rfc-editor.org/rfc/bcp/bcp47.txt) for "
+            "the target language."
+        ),
+    )
+
+
+class _Event:
+    """A combined event that is threadsafe and async safe."""
+
+    _event: threading.Event
+    _aevent: asyncio.Event
+
+    def __init__(self) -> None:
+        """Initialize the event."""
+        self._event = threading.Event()
+        self._aevent = asyncio.Event()
+
+    def set(self) -> None:
+        """Set the event."""
+        self._event.set()
+        self._aevent.set()
+
+    def clear(self) -> None:
+        """Set the event."""
+        self._event.clear()
+        self._aevent.clear()
+
+    def is_set(self) -> bool:
+        """Indicate if the event is set."""
+        return self._event.is_set()
+
+    def wait(self) -> None:
+        """Wait for the event to be set."""
+        self._event.wait()
+
+    async def async_wait(self) -> None:
+        """Async wait for the event to be set."""
+        await self._aevent.wait()
+
+
+def _mk_wave_file(
+    output_directory: Optional[str], sample_rate: float
+) -> Tuple[Optional[str], Optional[wave.Wave_write]]:
+    """Create a new wave file and return the wave write object and filename."""
+    if output_directory:
+        with tempfile.NamedTemporaryFile(
+            mode="bx", suffix=".wav", delete=False, dir=output_directory
+        ) as f:
+            wav_file_name = f.name
+        wav_file = wave.open(wav_file_name, "wb")
+        wav_file.setnchannels(1)
+        wav_file.setsampwidth(2)
+        wav_file.setframerate(sample_rate)
+        return (wav_file_name, wav_file)
+    return (None, None)
+
+
+def _coerce_string(val: "TTSInputType") -> str:
+    """Attempt to coerce the input value to a string.
+
+    This is particularly useful for converting LangChain message to strings.
+    """
+    if isinstance(val, PromptValue):
+        return val.to_string()
+    if isinstance(val, BaseMessage):
+        return str(val.content)
+    return str(val)
+
+
+def _process_chunks(inputs: Iterator["TTSInputType"]) -> Generator[str, None, None]:
+    """Filter the input chunks are return strings ready for TTS."""
+    buffer = ""
+    for chunk in inputs:
+        chunk = _coerce_string(chunk)
+
+        # return the buffer if an end of sentence character is detected
+        for terminator in _SENTENCE_TERMINATORS:
+            while terminator in chunk:
+                last_sentence, chunk = chunk.split(terminator, 1)
+                yield buffer + last_sentence + terminator
+                buffer = ""
+
+        buffer += chunk
+
+        # return the buffer if is too long
+        if len(buffer) > _MAX_TEXT_LENGTH:
+            for idx in range(0, len(buffer), _MAX_TEXT_LENGTH):
+                yield buffer[idx : idx + 5]
+            buffer = ""
+
+    # return remaining buffer
+    if buffer:
+        yield buffer
+
+
+# Riva AudioStream Type
+StreamInputType = Union[bytes, SentinelT]
+StreamOutputType = str
+
+
+class AudioStream:
+    """A message containing streaming audio."""
+
+    _put_lock: threading.Lock
+    _queue: queue.Queue
+    output: queue.Queue
+    hangup: _Event
+    user_talking: _Event
+    user_quiet: _Event
+    _worker: Optional[threading.Thread]
+
+    def __init__(self, maxsize: int = 0) -> None:
+        """Initialize the queue."""
+        self._put_lock = threading.Lock()
+        self._queue = queue.Queue(maxsize=maxsize)
+        self.output = queue.Queue()
+        self.hangup = _Event()
+        self.user_quiet = _Event()
+        self.user_talking = _Event()
+        self._worker = None
+
+    def __iter__(self) -> Generator[bytes, None, None]:
+        """Return an error."""
+        while True:
+            # get next item
+            try:
+                next_val = self._queue.get(True, _QUEUE_GET_TIMEOUT)
+            except queue.Empty:
+                continue
+
+            # hangup when requested
+            if next_val == HANGUP:
+                break
+
+            # yield next item
+            yield next_val
+            self._queue.task_done()
+
+    async def __aiter__(self) -> AsyncIterator[StreamInputType]:
+        """Iterate through all items in the queue until HANGUP."""
+        while True:
+            # get next item
+            try:
+                next_val = await asyncio.get_event_loop().run_in_executor(
+                    None, self._queue.get, True, _QUEUE_GET_TIMEOUT
+                )
+            except queue.Empty:
+                continue
+
+            # hangup when requested
+            if next_val == HANGUP:
+                break
+
+            # yield next item
+            yield next_val
+            self._queue.task_done()
+
+    @property
+    def hungup(self) -> bool:
+        """Indicate if the audio stream has hungup."""
+        return self.hangup.is_set()
+
+    @property
+    def empty(self) -> bool:
+        """Indicate in the input stream buffer is empty."""
+        return self._queue.empty()
+
+    @property
+    def complete(self) -> bool:
+        """Indicate if the audio stream has hungup and been processed."""
+        input_done = self.hungup and self.empty
+        output_done = (
+            self._worker is not None
+            and not self._worker.is_alive()
+            and self.output.empty()
+        )
+        return input_done and output_done
+
+    @property
+    def running(self) -> bool:
+        """Indicate if the ASR stream is running."""
+        if self._worker:
+            return self._worker.is_alive()
+        return False
+
+    def put(self, item: StreamInputType, timeout: Optional[int] = None) -> None:
+        """Put a new item into the queue."""
+        with self._put_lock:
+            if self.hungup:
+                raise RuntimeError(
+                    "The audio stream has already been hungup. Cannot put more data."
+                )
+            if item is HANGUP:
+                self.hangup.set()
+            self._queue.put(item, timeout=timeout)
+
+    async def aput(self, item: StreamInputType, timeout: Optional[int] = None) -> None:
+        """Async put a new item into the queue."""
+        loop = asyncio.get_event_loop()
+        await asyncio.wait_for(loop.run_in_executor(None, self.put, item), timeout)
+
+    def close(self, timeout: Optional[int] = None) -> None:
+        """Send the hangup signal."""
+        self.put(HANGUP, timeout)
+
+    async def aclose(self, timeout: Optional[int] = None) -> None:
+        """Async send the hangup signal."""
+        await self.aput(HANGUP, timeout)
+
+    def register(self, responses: Iterator["rasr.StreamingRecognizeResponse"]) -> None:
+        """Drain the responses from the provided iterator and put them into a queue."""
+        if self.running:
+            raise RuntimeError("An ASR instance has already been registered.")
+
+        has_started = threading.Barrier(2, timeout=5)
+
+        def worker() -> None:
+            """Consume the ASR Generator."""
+            has_started.wait()
+            for response in responses:
+                if not response.results:
+                    continue
+
+                for result in response.results:
+                    if not result.alternatives:
+                        continue
+
+                    if result.is_final:
+                        self.user_talking.clear()
+                        self.user_quiet.set()
+                        transcript = cast(str, result.alternatives[0].transcript)
+                        self.output.put(transcript)
+
+                    elif not self.user_talking.is_set():
+                        self.user_talking.set()
+                        self.user_quiet.clear()
+
+        self._worker = threading.Thread(target=worker)
+        self._worker.daemon = True
+        self._worker.start()
+        has_started.wait()
+
+
+# RivaASR Runnable
+ASRInputType = AudioStream
+ASROutputType = str
+
+
+class RivaASR(
+    RivaAuthMixin,
+    RivaCommonConfigMixin,
+    RunnableSerializable[ASRInputType, ASROutputType],
+):
+    """A runnable that performs Automatic Speech Recognition (ASR) using NVIDIA Riva."""
+
+    name: str = "nvidia_riva_asr"
+    description: str = (
+        "A Runnable for converting audio bytes to a string."
+        "This is useful for feeding an audio stream into a chain and"
+        "preprocessing that audio to create an LLM prompt."
+    )
+
+    # riva options
+    audio_channel_count: int = Field(
+        1, description="The number of audio channels in the input audio stream."
+    )
+    profanity_filter: bool = Field(
+        True,
+        description=(
+            "Controls whether or not Riva should attempt to filter "
+            "profanity out of the transcribed text."
+        ),
+    )
+    enable_automatic_punctuation: bool = Field(
+        True,
+        description=(
+            "Controls whether Riva should attempt to correct "
+            "senetence puncuation in the transcribed text."
+        ),
+    )
+
+    @root_validator(pre=True)
+    @classmethod
+    def _validate_environment(cls, values: Dict[str, Any]) -> Dict[str, Any]:
+        """Validate the Python environment and input arguments."""
+        _ = _import_riva_client()
+        return values
+
+    @property
+    def config(self) -> "riva.client.StreamingRecognitionConfig":
+        """Create and return the riva config object."""
+        riva_client = _import_riva_client()
+        return riva_client.StreamingRecognitionConfig(
+            interim_results=True,
+            config=riva_client.RecognitionConfig(
+                encoding=self.encoding,
+                sample_rate_hertz=self.sample_rate_hertz,
+                audio_channel_count=self.audio_channel_count,
+                max_alternatives=1,
+                profanity_filter=self.profanity_filter,
+                enable_automatic_punctuation=self.enable_automatic_punctuation,
+                language_code=self.language_code,
+            ),
+        )
+
+    def _get_service(self) -> "riva.client.ASRService":
+        """Connect to the riva service and return the a client object."""
+        riva_client = _import_riva_client()
+        try:
+            return riva_client.ASRService(self.auth)
+        except Exception as err:
+            raise ValueError(
+                "Error raised while connecting to the Riva ASR server."
+            ) from err
+
+    def invoke(
+        self,
+        input: ASRInputType,
+        _: Optional[RunnableConfig] = None,
+    ) -> ASROutputType:
+        """Transcribe the audio bytes into a string with Riva."""
+        # create an output text generator with Riva
+        if not input.running:
+            service = self._get_service()
+            responses = service.streaming_response_generator(
+                audio_chunks=input,
+                streaming_config=self.config,
+            )
+            input.register(responses)
+
+        # return the first valid result
+        full_response: List[str] = []
+        while not input.complete:
+            with input.output.not_empty:
+                ready = input.output.not_empty.wait(0.1)
+
+            if ready:
+                while not input.output.empty():
+                    try:
+                        full_response += [input.output.get_nowait()]
+                    except queue.Empty:
+                        continue
+                    input.output.task_done()
+                _LOGGER.debug("Riva ASR returning: %s", repr(full_response))
+                return " ".join(full_response).strip()
+
+        return ""
+
+
+# RivaTTS Runnable
+# pylint: disable-next=invalid-name
+TTSInputType = Union[str, AnyMessage, PromptValue]
+TTSOutputType = bytes
+
+
+class RivaTTS(
+    RivaAuthMixin,
+    RivaCommonConfigMixin,
+    RunnableSerializable[TTSInputType, TTSOutputType],
+):
+    """A runnable that performs Text-to-Speech (TTS) with NVIDIA Riva."""
+
+    name: str = "nvidia_riva_tts"
+    description: str = (
+        "A tool for converting text to speech."
+        "This is useful for converting LLM output into audio bytes."
+    )
+
+    # riva options
+    voice_name: str = Field(
+        "English-US.Female-1",
+        description=(
+            "The voice model in Riva to use for speech. "
+            "Pre-trained models are documented in "
+            "[the Riva documentation]"
+            "(https://docs.nvidia.com/deeplearning/riva/user-guide/docs/tts/tts-overview.html)."
+        ),
+    )
+    output_directory: Optional[str] = Field(
+        None,
+        description=(
+            "The directory where all audio files should be saved. "
+            "A null value indicates that wave files should not be saved. "
+            "This is useful for debugging purposes."
+        ),
+    )
+
+    @root_validator(pre=True)
+    @classmethod
+    def _validate_environment(cls, values: Dict[str, Any]) -> Dict[str, Any]:
+        """Validate the Python environment and input arguments."""
+        _ = _import_riva_client()
+        return values
+
+    @validator("output_directory")
+    @classmethod
+    def _output_directory_validator(cls, v: str) -> str:
+        if v:
+            dirpath = pathlib.Path(v)
+            dirpath.mkdir(parents=True, exist_ok=True)
+            return str(dirpath.absolute())
+        return v
+
+    def _get_service(self) -> "riva.client.SpeechSynthesisService":
+        """Connect to the riva service and return the a client object."""
+        riva_client = _import_riva_client()
+        try:
+            return riva_client.SpeechSynthesisService(self.auth)
+        except Exception as err:
+            raise ValueError(
+                "Error raised while connecting to the Riva TTS server."
+            ) from err
+
+    def invoke(
+        self, input: TTSInputType, _: Union[RunnableConfig, None] = None
+    ) -> TTSOutputType:
+        """Perform TTS by taking a string and outputting the entire audio file."""
+        return b"".join(self.transform(iter([input])))
+
+    def transform(
+        self,
+        input: Iterator[TTSInputType],
+        config: Optional[RunnableConfig] = None,
+        **kwargs: Optional[Any],
+    ) -> Iterator[TTSOutputType]:
+        """Perform TTS by taking a stream of characters and streaming output bytes."""
+        service = self._get_service()
+
+        # create an output wave file
+        wav_file_name, wav_file = _mk_wave_file(
+            self.output_directory, self.sample_rate_hertz
+        )
+
+        # split the input text and perform tts
+        for chunk in _process_chunks(input):
+            _LOGGER.debug("Riva TTS chunk: %s", chunk)
+
+            # start riva tts streaming
+            responses = service.synthesize_online(
+                text=chunk,
+                voice_name=self.voice_name,
+                language_code=self.language_code,
+                encoding=self.encoding.riva_pb2,
+                sample_rate_hz=self.sample_rate_hertz,
+            )
+
+            # stream audio bytes out
+            for resp in responses:
+                audio = cast(bytes, resp.audio)
+                if wav_file:
+                    wav_file.writeframesraw(audio)
+                yield audio
+
+        # close the wave file when we are done
+        if wav_file:
+            wav_file.close()
+            _LOGGER.debug("Riva TTS wrote file: %s", wav_file_name)
+
+    async def atransform(
+        self,
+        input: AsyncIterator[TTSInputType],
+        config: Optional[RunnableConfig] = None,
+        **kwargs: Optional[Any],
+    ) -> AsyncGenerator[TTSOutputType, None]:
+        """Intercept async transforms and route them to the synchronous transform."""
+        loop = asyncio.get_running_loop()
+        input_queue: queue.Queue = queue.Queue()
+        out_queue: asyncio.Queue = asyncio.Queue()
+
+        async def _producer() -> None:
+            """Produce input into the input queue."""
+            async for val in input:
+                input_queue.put_nowait(val)
+            input_queue.put_nowait(_TRANSFORM_END)
+
+        def _input_iterator() -> Iterator[TTSInputType]:
+            """Iterate over the input_queue."""
+            while True:
+                try:
+                    val = input_queue.get(timeout=0.5)
+                except queue.Empty:
+                    continue
+                if val == _TRANSFORM_END:
+                    break
+                yield val
+
+        def _consumer() -> None:
+            """Consume the input with transform."""
+            for val in self.transform(_input_iterator()):
+                out_queue.put_nowait(val)
+            out_queue.put_nowait(_TRANSFORM_END)
+
+        async def _consumer_coro() -> None:
+            """Coroutine that wraps the consumer."""
+            await loop.run_in_executor(None, _consumer)
+
+        producer = loop.create_task(_producer())
+        consumer = loop.create_task(_consumer_coro())
+
+        while True:
+            try:
+                val = await asyncio.wait_for(out_queue.get(), 0.5)
+            except asyncio.exceptions.TimeoutError:
+                continue
+            out_queue.task_done()
+
+            if val is _TRANSFORM_END:
+                break
+            yield val
+
+        await producer
+        await consumer
diff --git a/libs/community/poetry.lock b/libs/community/poetry.lock
index 70d943ea09443..620a23816d5fe 100644
--- a/libs/community/poetry.lock
+++ b/libs/community/poetry.lock
@@ -28,87 +28,87 @@ pycares = ">=4.0.0"
 
 [[package]]
 name = "aiohttp"
-version = "3.9.1"
+version = "3.9.3"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -194,25 +194,27 @@ types = ["mypy", "types-Pillow", "types-requests"]
 
 [[package]]
 name = "altair"
-version = "4.2.2"
-description = "Altair: A declarative statistical visualization library for Python."
+version = "5.2.0"
+description = "Vega-Altair: A declarative statistical visualization library for Python."
 optional = true
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+    {file = "altair-5.2.0-py3-none-any.whl", hash = "sha256:8c4888ad11db7c39f3f17aa7f4ea985775da389d79ac30a6c22856ab238df399"},
+    {file = "altair-5.2.0.tar.gz", hash = "sha256:2ad7f0c8010ebbc46319cc30febfb8e59ccf84969a201541c207bc3a4fa6cf81"},
 ]
 
 [package.dependencies]
-entrypoints = "*"
 jinja2 = "*"
 jsonschema = ">=3.0"
 numpy = "*"
-pandas = ">=0.18"
+packaging = "*"
+pandas = ">=0.25"
 toolz = "*"
+typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-dev = ["black", "docutils", "flake8", "ipython", "m2r", "mistune (<2.0.0)", "pytest", "recommonmark", "sphinx", "vega-datasets"]
+dev = ["anywidget", "geopandas", "hatch", "ipython", "m2r", "mypy", "pandas-stubs", "pyarrow (>=11)", "pytest", "pytest-cov", "ruff (>=0.1.3)", "types-jsonschema", "types-setuptools", "vega-datasets", "vegafusion[embed] (>=1.4.0)", "vl-convert-python (>=1.1.0)"]
+doc = ["docutils", "jinja2", "myst-parser", "numpydoc", "pillow (>=9,<10)", "pydata-sphinx-theme (>=0.14.1)", "scipy", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinxext-altair"]
 
 [[package]]
 name = "anthropic"
@@ -494,17 +496,19 @@ test = ["flake8 (>=6.1,<7.0)", "uvloop (>=0.15.3)"]
 
 [[package]]
 name = "atlassian-python-api"
-version = "3.41.4"
+version = "3.41.9"
 description = "Python Atlassian REST API Wrapper"
 optional = true
 python-versions = "*"
 files = [
-    {file = "atlassian-python-api-3.41.4.tar.gz", hash = "sha256:10e51fc2bd2d13423d6e34b1534600366758a711fd4fd8b9cdc2de658bf327fa"},
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+    {file = "atlassian-python-api-3.41.9.tar.gz", hash = "sha256:3682b9539c1e31fe53b020bdcbce532ca5655fc2cc98cc0e7f9572d92afcc13b"},
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 ]
 
 [package.dependencies]
+beautifulsoup4 = "*"
 deprecated = "*"
+jmespath = "*"
 oauthlib = "*"
 requests = "*"
 requests-oauthlib = "*"
@@ -515,21 +519,22 @@ kerberos = ["requests-kerberos"]
 
 [[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"},
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+    {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 = "azure-ai-documentintelligence"
@@ -548,17 +553,16 @@ isodate = ">=0.6.1,<1.0.0"
 
 [[package]]
 name = "azure-core"
-version = "1.29.6"
+version = "1.30.0"
 description = "Microsoft Azure Core Library for Python"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "azure-core-1.29.6.tar.gz", hash = "sha256:13b485252ecd9384ae624894fe51cfa6220966207264c360beada239f88b738a"},
-    {file = "azure_core-1.29.6-py3-none-any.whl", hash = "sha256:604a005bce6a49ba661bb7b2be84a9b169047e52fcfcd0a4e4770affab4178f7"},
+    {file = "azure-core-1.30.0.tar.gz", hash = "sha256:6f3a7883ef184722f6bd997262eddaf80cfe7e5b3e0caaaf8db1695695893d35"},
+    {file = "azure_core-1.30.0-py3-none-any.whl", hash = "sha256:3dae7962aad109610e68c9a7abb31d79720e1d982ddf61363038d175a5025e89"},
 ]
 
 [package.dependencies]
-anyio = ">=3.0,<5.0"
 requests = ">=2.21.0"
 six = ">=1.11.0"
 typing-extensions = ">=4.6.0"
@@ -568,18 +572,17 @@ aio = ["aiohttp (>=3.0)"]
 
 [[package]]
 name = "babel"
-version = "2.13.1"
+version = "2.14.0"
 description = "Internationalization utilities"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "Babel-2.13.1-py3-none-any.whl", hash = "sha256:7077a4984b02b6727ac10f1f7294484f737443d7e2e66c5e4380e41a3ae0b4ed"},
-    {file = "Babel-2.13.1.tar.gz", hash = "sha256:33e0952d7dd6374af8dbf6768cc4ddf3ccfefc244f9986d4074704f2fbd18900"},
+    {file = "Babel-2.14.0-py3-none-any.whl", hash = "sha256:efb1a25b7118e67ce3a259bed20545c29cb68be8ad2c784c83689981b7a57287"},
+    {file = "Babel-2.14.0.tar.gz", hash = "sha256:6919867db036398ba21eb5c7a0f6b28ab8cbc3ae7a73a44ebe34ae74a4e7d363"},
 ]
 
 [package.dependencies]
 pytz = {version = ">=2015.7", markers = "python_version < \"3.9\""}
-setuptools = {version = "*", markers = "python_version >= \"3.12\""}
 
 [package.extras]
 dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
@@ -636,19 +639,22 @@ tzdata = ["tzdata"]
 
 [[package]]
 name = "beautifulsoup4"
-version = "4.12.2"
+version = "4.12.3"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.6.0"
 files = [
-    {file = "beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"},
-    {file = "beautifulsoup4-4.12.2.tar.gz", hash = "sha256:492bbc69dca35d12daac71c4db1bfff0c876c00ef4a2ffacce226d4638eb72da"},
+    {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
+    {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
 ]
 
 [package.dependencies]
 soupsieve = ">1.2"
 
 [package.extras]
+cchardet = ["cchardet"]
+chardet = ["chardet"]
+charset-normalizer = ["charset-normalizer"]
 html5lib = ["html5lib"]
 lxml = ["lxml"]
 
@@ -696,44 +702,44 @@ files = [
 
 [[package]]
 name = "boto3"
-version = "1.33.11"
+version = "1.34.35"
 description = "The AWS SDK for Python"
 optional = false
-python-versions = ">= 3.7"
+python-versions = ">= 3.8"
 files = [
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+    {file = "boto3-1.34.35-py3-none-any.whl", hash = "sha256:53897701ab4f307fbcfdade673eae809dfc5eabb6102053c84907aa27de66e53"},
+    {file = "boto3-1.34.35.tar.gz", hash = "sha256:4052031f9ac18924e94be7c30a5f0af5843a4752b8c8cb9034cd978be252b61b"},
 ]
 
 [package.dependencies]
-botocore = ">=1.33.11,<1.34.0"
+botocore = ">=1.34.35,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
-s3transfer = ">=0.8.2,<0.9.0"
+s3transfer = ">=0.10.0,<0.11.0"
 
 [package.extras]
 crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.33.11"
+version = "1.34.35"
 description = "Low-level, data-driven core of boto 3."
 optional = false
-python-versions = ">= 3.7"
+python-versions = ">= 3.8"
 files = [
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+    {file = "botocore-1.34.35-py3-none-any.whl", hash = "sha256:b67b8c865973202dc655a493317ae14b33d115e49ed6960874eb05d950167b37"},
+    {file = "botocore-1.34.35.tar.gz", hash = "sha256:8a2b53ab772584a5f7e2fe1e4a59028b0602cfef8e39d622db7c6b670e4b1ee6"},
 ]
 
 [package.dependencies]
 jmespath = ">=0.7.1,<2.0.0"
 python-dateutil = ">=2.1,<3.0.0"
 urllib3 = [
-    {version = ">=1.25.4,<2.1", markers = "python_version >= \"3.10\""},
     {version = ">=1.25.4,<1.27", markers = "python_version < \"3.10\""},
+    {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 = "cachetools"
@@ -748,50 +754,51 @@ files = [
 
 [[package]]
 name = "cassandra-driver"
-version = "3.28.0"
+version = "3.29.0"
 description = "DataStax Driver for Apache Cassandra"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
 geomet = ">=0.1,<0.3"
-six = ">=1.9"
 
 [package.extras]
 cle = ["cryptography (>=35.0)"]
@@ -799,13 +806,13 @@ graph = ["gremlinpython (==3.4.6)"]
 
 [[package]]
 name = "cassio"
-version = "0.1.3"
+version = "0.1.4"
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 python-versions = ">=3.8"
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 [package.dependencies]
@@ -826,13 +833,13 @@ files = [
 
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+version = "2024.2.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
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 [[package]]
@@ -1069,13 +1076,13 @@ test = ["pytest-cov"]
 
 [[package]]
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-version = "2.2.1"
-description = "Extended pickling support for Python objects"
+version = "3.0.0"
+description = "Pickler class to extend the standard pickle.Pickler functionality"
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-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 [[package]]
@@ -1097,13 +1104,13 @@ types = ["chardet (>=5.1.0)", "mypy", "pytest", "pytest-cov", "pytest-dependency
 
 [[package]]
 name = "cohere"
-version = "4.37"
+version = "4.45"
 description = "Python SDK for the Cohere API"
 optional = true
 python-versions = ">=3.8,<4.0"
 files = [
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 [package.dependencies]
@@ -1144,13 +1151,13 @@ cron = ["capturer (>=2.4)"]
 
 [[package]]
 name = "comm"
-version = "0.2.0"
+version = "0.2.1"
 description = "Jupyter Python Comm implementation, for usage in ipykernel, xeus-python etc."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -1294,63 +1301,63 @@ test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
 
 [[package]]
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-version = "7.3.2"
+version = "7.4.1"
 description = "Code coverage measurement for Python"
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 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -1430,29 +1437,6 @@ files = [
 docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
 tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
-[[package]]
-name = "dashvector"
-version = "1.0.7"
-description = "DashVector Client Python Sdk Library"
-optional = true
-python-versions = ">=3.7,<4.0"
-files = [
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-]
-
-[package.dependencies]
-aiohttp = ">=3.1.0,<4.0.0"
-certifi = ">=2023.7.22,<2024.0.0"
-grpcio = [
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-    {version = ">=1.49.1", markers = "python_version >= \"3.11\" and sys_platform != \"win32\""},
-    {version = ">=1.22.0,<=1.56.0", markers = "sys_platform == \"win32\" and python_version < \"3.11\""},
-    {version = ">=1.22.0", markers = "python_version < \"3.11\" and sys_platform != \"win32\""},
-]
-numpy = "*"
-protobuf = ">=3.8.0,<4.0.0"
-
 [[package]]
 name = "databricks-cli"
 version = "0.18.0"
@@ -1501,13 +1485,13 @@ files = [
 
 [[package]]
 name = "dataclasses-json"
-version = "0.6.3"
+version = "0.6.4"
 description = "Easily serialize dataclasses to and from JSON."
 optional = false
 python-versions = ">=3.7,<4.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -1516,20 +1500,21 @@ typing-inspect = ">=0.4.0,<1"
 
 [[package]]
 name = "datasets"
-version = "2.15.0"
+version = "2.16.1"
 description = "HuggingFace community-driven open-source library of datasets"
 optional = true
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
 aiohttp = "*"
 dill = ">=0.3.0,<0.3.8"
+filelock = "*"
 fsspec = {version = ">=2023.1.0,<=2023.10.0", extras = ["http"]}
-huggingface-hub = ">=0.18.0"
+huggingface-hub = ">=0.19.4"
 multiprocess = "*"
 numpy = ">=1.17"
 packaging = "*"
@@ -1545,15 +1530,15 @@ xxhash = "*"
 apache-beam = ["apache-beam (>=2.26.0,<2.44.0)"]
 audio = ["librosa", "soundfile (>=0.12.1)"]
 benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
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+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.1.5)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
 docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
 jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
 metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"]
-quality = ["black (>=23.1,<24.0)", "pyyaml (>=5.3.1)", "ruff (>=0.0.241)"]
+quality = ["ruff (>=0.1.5)"]
 s3 = ["s3fs"]
 tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos"]
 tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
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+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch (>=2.0.0)", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
 torch = ["torch"]
 vision = ["Pillow (>=6.2.1)"]
 
@@ -1639,13 +1624,13 @@ packaging = "*"
 
 [[package]]
 name = "dgml-utils"
-version = "0.3.0"
+version = "0.3.1"
 description = "Python utilities to work with the Docugami Markup Language (DGML) format."
 optional = true
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "dgml_utils-0.3.0-py3-none-any.whl", hash = "sha256:0cb8f6fd7f5fa31919343266260c166aa53009b42a11a172e808fc707e1ac5ba"},
-    {file = "dgml_utils-0.3.0.tar.gz", hash = "sha256:02722e899122caedfb1e90d0be557c7e6dddf86f7f4c19d7888212efde9f78c9"},
+    {file = "dgml_utils-0.3.1-py3-none-any.whl", hash = "sha256:2be68a4357fccd37b3e6abd603e2d306430bc1d6de10493c74343e9397018ac3"},
+    {file = "dgml_utils-0.3.1.tar.gz", hash = "sha256:20520da11979fe5c9a8b078132a633bce4b4821f25726b6ab4cbdd5f7584fb72"},
 ]
 
 [package.dependencies]
@@ -1668,33 +1653,34 @@ graph = ["objgraph (>=1.7.2)"]
 
 [[package]]
 name = "distro"
-version = "1.8.0"
+version = "1.9.0"
 description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "distro-1.8.0-py3-none-any.whl", hash = "sha256:99522ca3e365cac527b44bde033f64c6945d90eb9f769703caaec52b09bbd3ff"},
-    {file = "distro-1.8.0.tar.gz", hash = "sha256:02e111d1dc6a50abb8eed6bf31c3e48ed8b0830d1ea2a1b78c61765c2513fdd8"},
+    {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
+    {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
 ]
 
 [[package]]
 name = "dnspython"
-version = "2.4.2"
+version = "2.5.0"
 description = "DNS toolkit"
 optional = true
-python-versions = ">=3.8,<4.0"
+python-versions = ">=3.8"
 files = [
-    {file = "dnspython-2.4.2-py3-none-any.whl", hash = "sha256:57c6fbaaeaaf39c891292012060beb141791735dbb4004798328fc2c467402d8"},
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+    {file = "dnspython-2.5.0-py3-none-any.whl", hash = "sha256:6facdf76b73c742ccf2d07add296f178e629da60be23ce4b0a9c927b1e02c3a6"},
+    {file = "dnspython-2.5.0.tar.gz", hash = "sha256:a0034815a59ba9ae888946be7ccca8f7c157b286f8455b379c692efb51022a15"},
 ]
 
 [package.extras]
-dnssec = ["cryptography (>=2.6,<42.0)"]
-doh = ["h2 (>=4.1.0)", "httpcore (>=0.17.3)", "httpx (>=0.24.1)"]
+dev = ["black (>=23.1.0)", "coverage (>=7.0)", "flake8 (>=5.0.3)", "mypy (>=1.0.1)", "pylint (>=2.7)", "pytest (>=6.2.5)", "pytest-cov (>=3.0.0)", "sphinx (>=7.0.0)", "twine (>=4.0.0)", "wheel (>=0.41.0)"]
+dnssec = ["cryptography (>=41)"]
+doh = ["h2 (>=4.1.0)", "httpcore (>=0.17.3)", "httpx (>=0.25.1)"]
 doq = ["aioquic (>=0.9.20)"]
-idna = ["idna (>=2.1,<4.0)"]
-trio = ["trio (>=0.14,<0.23)"]
-wmi = ["wmi (>=1.5.1,<2.0.0)"]
+idna = ["idna (>=2.1)"]
+trio = ["trio (>=0.14)"]
+wmi = ["wmi (>=1.5.1)"]
 
 [[package]]
 name = "docopt"
@@ -1756,13 +1742,13 @@ files = [
 
 [[package]]
 name = "duckdb-engine"
-version = "0.9.2"
+version = "0.9.5"
 description = "SQLAlchemy driver for duckdb"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -1890,42 +1876,42 @@ files = [
 
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 name = "fastavro"
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+version = "1.9.3"
 description = "Fast read/write of AVRO files"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -1936,13 +1922,13 @@ zstandard = ["zstandard"]
 
 [[package]]
 name = "fastjsonschema"
-version = "2.19.0"
+version = "2.19.1"
 description = "Fastest Python implementation of JSON schema"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.extras]
@@ -1965,13 +1951,13 @@ six = "*"
 
 [[package]]
 name = "feedparser"
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+version = "6.0.11"
 description = "Universal feed parser, handles RSS 0.9x, RSS 1.0, RSS 2.0, CDF, Atom 0.3, and Atom 1.0 feeds"
 optional = true
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
@@ -2072,53 +2058,53 @@ files = [
 
 [[package]]
 name = "fonttools"
-version = "4.47.0"
+version = "4.47.2"
 description = "Tools to manipulate font files"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "fsspec"
-version = "2023.9.0"
+version = "2023.10.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fsspec-2023.9.0-py3-none-any.whl", hash = "sha256:d55b9ab2a4c1f2b759888ae9f93e40c2aa72c0808132e87e282b549f9e6c4254"},
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 ]
 
 [package.dependencies]
@@ -2318,61 +2320,43 @@ 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 = true
 python-versions = ">=3.7"
 files = [
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-    {file = "GitPython-3.1.40.tar.gz", hash = "sha256:22b126e9ffb671fdd0c129796343a02bf67bf2994b35449ffc9321aa755e18a4"},
+    {file = "GitPython-3.1.41-py3-none-any.whl", hash = "sha256:c36b6634d069b3f719610175020a9aed919421c87552185b085e04fbbdb10b7c"},
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 ]
 
 [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"
-version = "1.34.0"
+version = "2.16.2"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-api-core-1.34.0.tar.gz", hash = "sha256:6fb380f49d19ee1d09a9722d0379042b7edb06c0112e4796c7a395078a043e71"},
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-]
-
-[package.dependencies]
-google-auth = ">=1.25.0,<3.0dev"
-googleapis-common-protos = ">=1.56.2,<2.0dev"
-grpcio = {version = ">=1.33.2,<2.0dev", optional = true, markers = "extra == \"grpc\""}
-grpcio-status = {version = ">=1.33.2,<2.0dev", optional = true, markers = "extra == \"grpc\""}
-protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.0.0dev"
-requests = ">=2.18.0,<3.0.0dev"
-
-[package.extras]
-grpc = ["grpcio (>=1.33.2,<2.0dev)", "grpcio-status (>=1.33.2,<2.0dev)"]
-grpcgcp = ["grpcio-gcp (>=0.2.2,<1.0dev)"]
-grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0dev)"]
-
-[[package]]
-name = "google-api-core"
-version = "2.14.0"
-description = "Google API client core library"
-optional = false
-python-versions = ">=3.7"
-files = [
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 ]
 
 [package.dependencies]
 google-auth = ">=2.14.1,<3.0.dev0"
 googleapis-common-protos = ">=1.56.2,<2.0.dev0"
-grpcio = {version = ">=1.33.2,<2.0dev", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""}
-grpcio-status = {version = ">=1.33.2,<2.0.dev0", optional = true, markers = "python_version < \"3.11\" and extra == \"grpc\""}
+grpcio = [
+    {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 = ">=1.33.2,<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"
 
@@ -2383,13 +2367,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-auth"
-version = "2.24.0"
+version = "2.27.0"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-auth-2.24.0.tar.gz", hash = "sha256:2ec7b2a506989d7dbfdbe81cb8d0ead8876caaed14f86d29d34483cbe99c57af"},
-    {file = "google_auth-2.24.0-py2.py3-none-any.whl", hash = "sha256:9b82d5c8d3479a5391ea0a46d81cca698d328459da31d4a459d4e901a5d927e0"},
+    {file = "google-auth-2.27.0.tar.gz", hash = "sha256:e863a56ccc2d8efa83df7a80272601e43487fa9a728a376205c86c26aaefa821"},
+    {file = "google_auth-2.27.0-py2.py3-none-any.whl", hash = "sha256:8e4bad367015430ff253fe49d500fdc3396c1a434db5740828c728e45bcce245"},
 ]
 
 [package.dependencies]
@@ -2406,13 +2390,13 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.37.0"
+version = "1.40.0"
 description = "Vertex AI API client library"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "google-cloud-aiplatform-1.37.0.tar.gz", hash = "sha256:51cac0334fc7274142b50363dd10cbb3d303ff6354e5c06a7fb51e1b7db02dfb"},
-    {file = "google_cloud_aiplatform-1.37.0-py2.py3-none-any.whl", hash = "sha256:9b3d6e681084a60b7e4de7063d41ca2d354b3546a918609ddaf9d8d1f8b19c36"},
+    {file = "google-cloud-aiplatform-1.40.0.tar.gz", hash = "sha256:1ee9aff2fa27c6852558a2abeaf0ffe0537bff90c5dc9f0e967762ac17291001"},
+    {file = "google_cloud_aiplatform-1.40.0-py2.py3-none-any.whl", hash = "sha256:9c67a2664e138387ea82d70dec4b54e081b7de6e1089ed23fdaf66900d00320a"},
 ]
 
 [package.dependencies]
@@ -2431,7 +2415,7 @@ autologging = ["mlflow (>=1.27.0,<=2.1.1)"]
 cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
 datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)"]
 endpoint = ["requests (>=2.28.1)"]
-full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (==0.0.11)", "google-vizier (==0.0.4)", "google-vizier (>=0.0.14)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)", "requests (>=2.28.1)", "starlette (>=0.17.1)", "tensorflow (>=2.3.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)"]
+full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)", "requests (>=2.28.1)", "starlette (>=0.17.1)", "tensorflow (>=2.3.0,<2.15.0)", "tensorflow (>=2.3.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)"]
 lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"]
 metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
 pipelines = ["pyyaml (==5.3.1)"]
@@ -2439,44 +2423,39 @@ prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<0.103.1)", "httpx (>=0.23.
 preview = ["cloudpickle (<3.0)", "google-cloud-logging (<4.0)"]
 private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
 ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "pandas (>=1.0.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)"]
-tensorboard = ["tensorflow (>=2.3.0,<3.0.0dev)"]
-testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (==0.0.11)", "google-vizier (==0.0.4)", "google-vizier (>=0.0.14)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "ipython", "kfp", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<=2.12.0)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost", "xgboost-ray"]
-vizier = ["google-vizier (==0.0.11)", "google-vizier (==0.0.4)", "google-vizier (>=0.0.14)", "google-vizier (>=0.1.6)"]
+tensorboard = ["tensorflow (>=2.3.0,<2.15.0)"]
+testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<2.15.0)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<=2.12.0)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost", "xgboost-ray"]
+vizier = ["google-vizier (>=0.1.6)"]
 xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
 
 [[package]]
 name = "google-cloud-bigquery"
-version = "3.13.0"
+version = "3.17.1"
 description = "Google BigQuery API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-bigquery-3.13.0.tar.gz", hash = "sha256:794ccfc93ccb0e0ad689442f896f9c82de56da0fe18a195531bb37096c2657d6"},
-    {file = "google_cloud_bigquery-3.13.0-py2.py3-none-any.whl", hash = "sha256:eda3dbcff676e17962c54e5224e415b55e4f6833a5c896c6c8902b69e7dba4b4"},
+    {file = "google-cloud-bigquery-3.17.1.tar.gz", hash = "sha256:0ae07b90d5052ba3a296a2210a2144c28469300d71f6f455881f94c2df543057"},
+    {file = "google_cloud_bigquery-3.17.1-py2.py3-none-any.whl", hash = "sha256:7a9a92c7b1f6a6bf8b4c05c150e49f4ad1a03dd591dbd4522381b3f23bf07c73"},
 ]
 
 [package.dependencies]
-google-api-core = {version = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0dev", extras = ["grpc"]}
+google-api-core = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0dev"
 google-cloud-core = ">=1.6.0,<3.0.0dev"
 google-resumable-media = ">=0.6.0,<3.0dev"
-grpcio = [
-    {version = ">=1.49.1,<2.0dev", markers = "python_version >= \"3.11\""},
-    {version = ">=1.47.0,<2.0dev", markers = "python_version < \"3.11\""},
-]
 packaging = ">=20.0.0"
-proto-plus = ">=1.15.0,<2.0.0dev"
-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"
 python-dateutil = ">=2.7.2,<3.0dev"
 requests = ">=2.21.0,<3.0.0dev"
 
 [package.extras]
-all = ["Shapely (>=1.8.4,<3.0.0dev)", "db-dtypes (>=0.3.0,<2.0.0dev)", "geopandas (>=0.9.0,<1.0dev)", "google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)", "ipywidgets (>=7.7.0)", "opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)", "pandas (>=1.1.0)", "pyarrow (>=3.0.0)", "tqdm (>=4.7.4,<5.0.0dev)"]
+all = ["Shapely (>=1.8.4,<3.0.0dev)", "db-dtypes (>=0.3.0,<2.0.0dev)", "geopandas (>=0.9.0,<1.0dev)", "google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "importlib-metadata (>=1.0.0)", "ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)", "ipywidgets (>=7.7.0)", "opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)", "pandas (>=1.1.0)", "proto-plus (>=1.15.0,<2.0.0dev)", "protobuf (>=3.19.5,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev)", "pyarrow (>=3.0.0)", "tqdm (>=4.7.4,<5.0.0dev)"]
+bigquery-v2 = ["proto-plus (>=1.15.0,<2.0.0dev)", "protobuf (>=3.19.5,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev)"]
 bqstorage = ["google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "pyarrow (>=3.0.0)"]
 geopandas = ["Shapely (>=1.8.4,<3.0.0dev)", "geopandas (>=0.9.0,<1.0dev)"]
 ipython = ["ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)"]
 ipywidgets = ["ipykernel (>=6.0.0)", "ipywidgets (>=7.7.0)"]
 opentelemetry = ["opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)"]
-pandas = ["db-dtypes (>=0.3.0,<2.0.0dev)", "pandas (>=1.1.0)", "pyarrow (>=3.0.0)"]
+pandas = ["db-dtypes (>=0.3.0,<2.0.0dev)", "importlib-metadata (>=1.0.0)", "pandas (>=1.1.0)", "pyarrow (>=3.0.0)"]
 tqdm = ["tqdm (>=4.7.4,<5.0.0dev)"]
 
 [[package]]
@@ -2499,32 +2478,29 @@ grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
 
 [[package]]
 name = "google-cloud-documentai"
-version = "2.20.2"
+version = "2.22.0"
 description = "Google Cloud Documentai API client library"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-documentai-2.20.2.tar.gz", hash = "sha256:097694574489041765a3f26ba346a27a71a17a5f8a4a6a959d3fca84025c144f"},
-    {file = "google_cloud_documentai-2.20.2-py2.py3-none-any.whl", hash = "sha256:d3f401740de4a36d79b0179593f61a9da05602b1686f8a2f0f25b8a4c5b9d6cb"},
+    {file = "google-cloud-documentai-2.22.0.tar.gz", hash = "sha256:e033457a95634aac250452600f4e4464f39073b5c00f5a1f8636f1fa83a93e73"},
+    {file = "google_cloud_documentai-2.22.0-py2.py3-none-any.whl", hash = "sha256:68b0c7962e4880879dfe23723de8c3beed9604342b4617913ca32437105d7e33"},
 ]
 
 [package.dependencies]
 google-api-core = {version = ">=1.34.0,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
-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\""},
-]
+proto-plus = ">=1.22.3,<2.0.0dev"
 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"
 
 [[package]]
 name = "google-cloud-resource-manager"
-version = "1.11.0"
+version = "1.12.0"
 description = "Google Cloud Resource Manager API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-resource-manager-1.11.0.tar.gz", hash = "sha256:a64ba6bb595634ecd2472b8b0322e8f012a76327756659a2dde9f392d7fa1af2"},
-    {file = "google_cloud_resource_manager-1.11.0-py2.py3-none-any.whl", hash = "sha256:bafde909b1d434a620eefcd144b14fcccb72f268afcf158c5bcfcdce5e04a72b"},
+    {file = "google-cloud-resource-manager-1.12.0.tar.gz", hash = "sha256:c2c4ae53e5f9ff612e4cf961f1bac3f9100ae54a5122c1b1cd4236e884d112c5"},
+    {file = "google_cloud_resource_manager-1.12.0-py2.py3-none-any.whl", hash = "sha256:a7128e5ed4ff35d42669a833c0841cda065123ece58ca468c3ea656983de13dc"},
 ]
 
 [package.dependencies]
@@ -2535,13 +2511,13 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4
 
 [[package]]
 name = "google-cloud-storage"
-version = "2.13.0"
+version = "2.14.0"
 description = "Google Cloud Storage API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-storage-2.13.0.tar.gz", hash = "sha256:f62dc4c7b6cd4360d072e3deb28035fbdad491ac3d9b0b1815a12daea10f37c7"},
-    {file = "google_cloud_storage-2.13.0-py2.py3-none-any.whl", hash = "sha256:ab0bf2e1780a1b74cf17fccb13788070b729f50c252f0c94ada2aae0ca95437d"},
+    {file = "google-cloud-storage-2.14.0.tar.gz", hash = "sha256:2d23fcf59b55e7b45336729c148bb1c464468c69d5efbaee30f7201dd90eb97e"},
+    {file = "google_cloud_storage-2.14.0-py2.py3-none-any.whl", hash = "sha256:8641243bbf2a2042c16a6399551fbb13f062cbc9a2de38d6c0bb5426962e9dbd"},
 ]
 
 [package.dependencies]
@@ -2637,13 +2613,13 @@ testing = ["pytest"]
 
 [[package]]
 name = "google-resumable-media"
-version = "2.6.0"
+version = "2.7.0"
 description = "Utilities for Google Media Downloads and Resumable Uploads"
 optional = false
 python-versions = ">= 3.7"
 files = [
-    {file = "google-resumable-media-2.6.0.tar.gz", hash = "sha256:972852f6c65f933e15a4a210c2b96930763b47197cdf4aa5f5bea435efb626e7"},
-    {file = "google_resumable_media-2.6.0-py2.py3-none-any.whl", hash = "sha256:fc03d344381970f79eebb632a3c18bb1828593a2dc5572b5f90115ef7d11e81b"},
+    {file = "google-resumable-media-2.7.0.tar.gz", hash = "sha256:5f18f5fa9836f4b083162064a1c2c98c17239bfda9ca50ad970ccf905f3e625b"},
+    {file = "google_resumable_media-2.7.0-py2.py3-none-any.whl", hash = "sha256:79543cfe433b63fd81c0844b7803aba1bb8950b47bedf7d980c38fa123937e08"},
 ]
 
 [package.dependencies]
@@ -2655,13 +2631,13 @@ requests = ["requests (>=2.18.0,<3.0.0dev)"]
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.61.0"
+version = "1.62.0"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "googleapis-common-protos-1.61.0.tar.gz", hash = "sha256:8a64866a97f6304a7179873a465d6eee97b7a24ec6cfd78e0f575e96b821240b"},
-    {file = "googleapis_common_protos-1.61.0-py2.py3-none-any.whl", hash = "sha256:22f1915393bb3245343f6efe87f6fe868532efc12aa26b391b15132e1279f1c0"},
+    {file = "googleapis-common-protos-1.62.0.tar.gz", hash = "sha256:83f0ece9f94e5672cced82f592d2a5edf527a96ed1794f0bab36d5735c996277"},
+    {file = "googleapis_common_protos-1.62.0-py2.py3-none-any.whl", hash = "sha256:4750113612205514f9f6aa4cb00d523a94f3e8c06c5ad2fee466387dc4875f07"},
 ]
 
 [package.dependencies]
@@ -2673,39 +2649,41 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
 [[package]]
 name = "gql"
-version = "3.4.1"
+version = "3.5.0"
 description = "GraphQL client for Python"
 optional = true
 python-versions = "*"
 files = [
-    {file = "gql-3.4.1-py2.py3-none-any.whl", hash = "sha256:315624ca0f4d571ef149d455033ebd35e45c1a13f18a059596aeddcea99135cf"},
-    {file = "gql-3.4.1.tar.gz", hash = "sha256:11dc5d8715a827f2c2899593439a4f36449db4f0eafa5b1ea63948f8a2f8c545"},
+    {file = "gql-3.5.0-py2.py3-none-any.whl", hash = "sha256:70dda5694a5b194a8441f077aa5fb70cc94e4ec08016117523f013680901ecb7"},
+    {file = "gql-3.5.0.tar.gz", hash = "sha256:ccb9c5db543682b28f577069950488218ed65d4ac70bb03b6929aaadaf636de9"},
 ]
 
 [package.dependencies]
+anyio = ">=3.0,<5"
 backoff = ">=1.11.1,<3.0"
 graphql-core = ">=3.2,<3.3"
 yarl = ">=1.6,<2.0"
 
 [package.extras]
-aiohttp = ["aiohttp (>=3.7.1,<3.9.0)"]
-all = ["aiohttp (>=3.7.1,<3.9.0)", "botocore (>=1.21,<2)", "requests (>=2.26,<3)", "requests-toolbelt (>=0.9.1,<1)", "urllib3 (>=1.26,<2)", "websockets (>=10,<11)", "websockets (>=9,<10)"]
+aiohttp = ["aiohttp (>=3.8.0,<4)", "aiohttp (>=3.9.0b0,<4)"]
+all = ["aiohttp (>=3.8.0,<4)", "aiohttp (>=3.9.0b0,<4)", "botocore (>=1.21,<2)", "httpx (>=0.23.1,<1)", "requests (>=2.26,<3)", "requests-toolbelt (>=1.0.0,<2)", "websockets (>=10,<12)"]
 botocore = ["botocore (>=1.21,<2)"]
-dev = ["aiofiles", "aiohttp (>=3.7.1,<3.9.0)", "black (==22.3.0)", "botocore (>=1.21,<2)", "check-manifest (>=0.42,<1)", "flake8 (==3.8.1)", "isort (==4.3.21)", "mock (==4.0.2)", "mypy (==0.910)", "parse (==1.15.0)", "pytest (==6.2.5)", "pytest-asyncio (==0.16.0)", "pytest-console-scripts (==1.3.1)", "pytest-cov (==3.0.0)", "requests (>=2.26,<3)", "requests-toolbelt (>=0.9.1,<1)", "sphinx (>=3.0.0,<4)", "sphinx-argparse (==0.2.5)", "sphinx-rtd-theme (>=0.4,<1)", "types-aiofiles", "types-mock", "types-requests", "urllib3 (>=1.26,<2)", "vcrpy (==4.0.2)", "websockets (>=10,<11)", "websockets (>=9,<10)"]
-requests = ["requests (>=2.26,<3)", "requests-toolbelt (>=0.9.1,<1)", "urllib3 (>=1.26,<2)"]
-test = ["aiofiles", "aiohttp (>=3.7.1,<3.9.0)", "botocore (>=1.21,<2)", "mock (==4.0.2)", "parse (==1.15.0)", "pytest (==6.2.5)", "pytest-asyncio (==0.16.0)", "pytest-console-scripts (==1.3.1)", "pytest-cov (==3.0.0)", "requests (>=2.26,<3)", "requests-toolbelt (>=0.9.1,<1)", "urllib3 (>=1.26,<2)", "vcrpy (==4.0.2)", "websockets (>=10,<11)", "websockets (>=9,<10)"]
-test-no-transport = ["aiofiles", "mock (==4.0.2)", "parse (==1.15.0)", "pytest (==6.2.5)", "pytest-asyncio (==0.16.0)", "pytest-console-scripts (==1.3.1)", "pytest-cov (==3.0.0)", "vcrpy (==4.0.2)"]
-websockets = ["websockets (>=10,<11)", "websockets (>=9,<10)"]
+dev = ["aiofiles", "aiohttp (>=3.8.0,<4)", "aiohttp (>=3.9.0b0,<4)", "black (==22.3.0)", "botocore (>=1.21,<2)", "check-manifest (>=0.42,<1)", "flake8 (==3.8.1)", "httpx (>=0.23.1,<1)", "isort (==4.3.21)", "mock (==4.0.2)", "mypy (==0.910)", "parse (==1.15.0)", "pytest (==7.4.2)", "pytest-asyncio (==0.21.1)", "pytest-console-scripts (==1.3.1)", "pytest-cov (==3.0.0)", "requests (>=2.26,<3)", "requests-toolbelt (>=1.0.0,<2)", "sphinx (>=5.3.0,<6)", "sphinx-argparse (==0.2.5)", "sphinx-rtd-theme (>=0.4,<1)", "types-aiofiles", "types-mock", "types-requests", "vcrpy (==4.4.0)", "websockets (>=10,<12)"]
+httpx = ["httpx (>=0.23.1,<1)"]
+requests = ["requests (>=2.26,<3)", "requests-toolbelt (>=1.0.0,<2)"]
+test = ["aiofiles", "aiohttp (>=3.8.0,<4)", "aiohttp (>=3.9.0b0,<4)", "botocore (>=1.21,<2)", "httpx (>=0.23.1,<1)", "mock (==4.0.2)", "parse (==1.15.0)", "pytest (==7.4.2)", "pytest-asyncio (==0.21.1)", "pytest-console-scripts (==1.3.1)", "pytest-cov (==3.0.0)", "requests (>=2.26,<3)", "requests-toolbelt (>=1.0.0,<2)", "vcrpy (==4.4.0)", "websockets (>=10,<12)"]
+test-no-transport = ["aiofiles", "mock (==4.0.2)", "parse (==1.15.0)", "pytest (==7.4.2)", "pytest-asyncio (==0.21.1)", "pytest-console-scripts (==1.3.1)", "pytest-cov (==3.0.0)", "vcrpy (==4.4.0)"]
+websockets = ["websockets (>=10,<12)"]
 
 [[package]]
 name = "gradientai"
-version = "1.4.0"
+version = "1.7.0"
 description = "Gradient AI API"
 optional = true
 python-versions = ">=3.8.1,<4.0.0"
 files = [
-    {file = "gradientai-1.4.0-py3-none-any.whl", hash = "sha256:58b74151e4bee534d438509303bcca3a9b84d17dafff31c206353489b54fcbfa"},
-    {file = "gradientai-1.4.0.tar.gz", hash = "sha256:98b9e0894530c6b7c675a113010dca7f7f7c399e02c46c0fb5532bf9fc1609f4"},
+    {file = "gradientai-1.7.0-py3-none-any.whl", hash = "sha256:8f7736e4ae4688a066ba111b7218115175fa5a4e20d1f3a57b11eb675c6b5d39"},
+    {file = "gradientai-1.7.0.tar.gz", hash = "sha256:b5071bb1483c87736b1cc0e9883a532d023e18fd473795c83eff6b1ca12c5c08"},
 ]
 
 [package.dependencies]
@@ -2727,72 +2705,73 @@ files = [
 
 [[package]]
 name = "greenlet"
-version = "3.0.1"
+version = "3.0.3"
 description = "Lightweight in-process concurrent programming"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "greenlet-3.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:f89e21afe925fcfa655965ca8ea10f24773a1791400989ff32f467badfe4a064"},
-    {file = "greenlet-3.0.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:28e89e232c7593d33cac35425b58950789962011cc274aa43ef8865f2e11f46d"},
-    {file = "greenlet-3.0.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b8ba29306c5de7717b5761b9ea74f9c72b9e2b834e24aa984da99cbfc70157fd"},
-    {file = "greenlet-3.0.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:19bbdf1cce0346ef7341705d71e2ecf6f41a35c311137f29b8a2dc2341374565"},
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+grpcio = ">=1.60.1"
+protobuf = ">=4.21.6,<5.0dev"
+setuptools = "*"
 
 [[package]]
 name = "h11"
@@ -3057,24 +3047,24 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "httpx-sse"
-version = "0.3.1"
+version = "0.4.0"
 description = "Consume Server-Sent Event (SSE) messages with HTTPX."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.19.4"
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 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 = [
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 [package.dependencies]
@@ -3087,15 +3077,14 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
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 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"]
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+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)"]
 
@@ -3185,13 +3174,13 @@ files = [
 
 [[package]]
 name = "ipykernel"
-version = "6.27.1"
+version = "6.29.0"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3205,7 +3194,7 @@ matplotlib-inline = ">=0.1"
 nest-asyncio = "*"
 packaging = "*"
 psutil = "*"
-pyzmq = ">=20"
+pyzmq = ">=24"
 tornado = ">=6.1"
 traitlets = ">=5.4.0"
 
@@ -3214,7 +3203,7 @@ cov = ["coverage[toml]", "curio", "matplotlib", "pytest-cov", "trio"]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"]
 pyqt5 = ["pyqt5"]
 pyside6 = ["pyside6"]
-test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov", "pytest-timeout"]
+test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (==0.23.2)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "ipython"
@@ -3350,13 +3339,13 @@ files = [
 
 [[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 = [
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 ]
 
 [package.dependencies]
@@ -3433,7 +3422,6 @@ files = [
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     {file = "jq-1.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f42264fafc6166efb5611b5d4cb01058887d050a6c19334f6a3f8a13bb369df5"},
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@@ -3522,13 +3510,13 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.20.0"
+version = "4.21.1"
 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-4.21.1-py3-none-any.whl", hash = "sha256:7996507afae316306f9e2290407761157c6f78002dcf7419acb99822143d1c6f"},
+    {file = "jsonschema-4.21.1.tar.gz", hash = "sha256:85727c00279f5fa6bedbe6238d2aa6403bedd8b4864ab11207d07df3cc1b2ee5"},
 ]
 
 [package.dependencies]
@@ -3553,13 +3541,13 @@ 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]
@@ -3635,13 +3623,13 @@ test = ["flaky", "pexpect", "pytest"]
 
 [[package]]
 name = "jupyter-core"
-version = "5.5.0"
+version = "5.7.1"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "jupyter_core-5.7.1-py3-none-any.whl", hash = "sha256:c65c82126453a723a2804aa52409930434598fd9d35091d63dfb919d2b765bb7"},
+    {file = "jupyter_core-5.7.1.tar.gz", hash = "sha256:de61a9d7fc71240f688b2fb5ab659fbb56979458dc66a71decd098e03c79e218"},
 ]
 
 [package.dependencies]
@@ -3680,13 +3668,13 @@ test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "p
 
 [[package]]
 name = "jupyter-lsp"
-version = "2.2.1"
+version = "2.2.2"
 description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "jupyter-lsp-2.2.2.tar.gz", hash = "sha256:256d24620542ae4bba04a50fc1f6ffe208093a07d8e697fea0a8d1b8ca1b7e5b"},
+    {file = "jupyter_lsp-2.2.2-py3-none-any.whl", hash = "sha256:3b95229e4168355a8c91928057c1621ac3510ba98b2a925e82ebd77f078b1aa5"},
 ]
 
 [package.dependencies]
@@ -3695,13 +3683,13 @@ jupyter-server = ">=1.1.2"
 
 [[package]]
 name = "jupyter-server"
-version = "2.11.2"
+version = "2.12.5"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "jupyter_server-2.12.5-py3-none-any.whl", hash = "sha256:184a0f82809a8522777cfb6b760ab6f4b1bb398664c5860a27cec696cb884923"},
+    {file = "jupyter_server-2.12.5.tar.gz", hash = "sha256:0edb626c94baa22809be1323f9770cf1c00a952b17097592e40d03e6a3951689"},
 ]
 
 [package.dependencies]
@@ -3731,13 +3719,13 @@ test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0)", "pytest-console-sc
 
 [[package]]
 name = "jupyter-server-terminals"
-version = "0.4.4"
+version = "0.5.2"
 description = "A Jupyter Server Extension Providing Terminals."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_server_terminals-0.4.4-py3-none-any.whl", hash = "sha256:75779164661cec02a8758a5311e18bb8eb70c4e86c6b699403100f1585a12a36"},
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+    {file = "jupyter_server_terminals-0.5.2-py3-none-any.whl", hash = "sha256:1b80c12765da979513c42c90215481bbc39bd8ae7c0350b4f85bc3eb58d0fa80"},
+    {file = "jupyter_server_terminals-0.5.2.tar.gz", hash = "sha256:396b5ccc0881e550bf0ee7012c6ef1b53edbde69e67cab1d56e89711b46052e8"},
 ]
 
 [package.dependencies]
@@ -3745,18 +3733,18 @@ pywinpty = {version = ">=2.0.3", markers = "os_name == \"nt\""}
 terminado = ">=0.8.3"
 
 [package.extras]
-docs = ["jinja2", "jupyter-server", "mistune (<3.0)", "myst-parser", "nbformat", "packaging", "pydata-sphinx-theme", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"]
-test = ["coverage", "jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-cov", "pytest-jupyter[server] (>=0.5.3)", "pytest-timeout"]
+docs = ["jinja2", "jupyter-server", "mistune (<4.0)", "myst-parser", "nbformat", "packaging", "pydata-sphinx-theme", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"]
+test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>=0.5.3)", "pytest-timeout"]
 
 [[package]]
 name = "jupyterlab"
-version = "4.0.9"
+version = "4.0.12"
 description = "JupyterLab computational environment"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3776,7 +3764,7 @@ tornado = ">=6.2.0"
 traitlets = "*"
 
 [package.extras]
-dev = ["black[jupyter] (==23.10.1)", "build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.1.4)"]
+dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.1.6)"]
 docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-tornasync", "sphinx (>=1.8,<7.2.0)", "sphinx-copybutton"]
 docs-screenshots = ["altair (==5.0.1)", "ipython (==8.14.0)", "ipywidgets (==8.0.6)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.0.post0)", "matplotlib (==3.7.1)", "nbconvert (>=7.0.0)", "pandas (==2.0.2)", "scipy (==1.10.1)", "vega-datasets (==0.9.0)"]
 test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
@@ -3970,13 +3958,13 @@ url = "../core"
 
 [[package]]
 name = "langsmith"
-version = "0.0.83"
+version = "0.0.86"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -3985,13 +3973,13 @@ requests = ">=2,<3"
 
 [[package]]
 name = "lark"
-version = "1.1.8"
+version = "1.1.9"
 description = "a modern parsing library"
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.extras]
@@ -4002,120 +3990,121 @@ regex = ["regex"]
 
 [[package]]
 name = "lxml"
-version = "4.9.3"
+version = "4.9.4"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, != 3.4.*"
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 html5 = ["html5lib"]
 htmlsoup = ["BeautifulSoup4"]
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 [package.dependencies]
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 ]
 
 [[package]]
 name = "marshmallow"
-version = "3.20.1"
+version = "3.20.2"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
 packaging = ">=17.0"
 
 [package.extras]
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-docs = ["alabaster (==0.7.13)", "autodocsumm (==0.2.11)", "sphinx (==7.0.1)", "sphinx-issues (==3.0.1)", "sphinx-version-warning (==1.1.2)"]
-lint = ["flake8 (==6.0.0)", "flake8-bugbear (==23.7.10)", "mypy (==1.4.1)", "pre-commit (>=2.4,<4.0)"]
+dev = ["pre-commit (>=2.4,<4.0)", "pytest", "pytz", "simplejson", "tox"]
+docs = ["alabaster (==0.7.15)", "autodocsumm (==0.2.12)", "sphinx (==7.2.6)", "sphinx-issues (==3.0.1)", "sphinx-version-warning (==1.1.2)"]
+lint = ["pre-commit (>=2.4,<4.0)"]
 tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
@@ -4359,22 +4348,22 @@ files = [
 
 [[package]]
 name = "mlflow-skinny"
-version = "2.8.1"
+version = "2.10.0"
 description = "MLflow: A Platform for ML Development and Productionization"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 click = ">=7.0,<9"
-cloudpickle = "<3"
+cloudpickle = "<4"
 databricks-cli = ">=0.8.7,<1"
 entrypoints = "<1"
 gitpython = ">=2.1.0,<4"
-importlib-metadata = ">=3.7.0,<4.7.0 || >4.7.0,<7"
+importlib-metadata = ">=3.7.0,<4.7.0 || >4.7.0,<8"
 packaging = "<24"
 protobuf = ">=3.12.0,<5"
 pytz = "<2024"
@@ -4384,9 +4373,10 @@ sqlparse = ">=0.4.0,<1"
 
 [package.extras]
 aliyun-oss = ["aliyunstoreplugin"]
-databricks = ["azure-storage-file-datalake (>12)", "boto3 (>1)", "google-cloud-storage (>=1.30.0)"]
-extras = ["azureml-core (>=1.2.0)", "boto3", "google-cloud-storage (>=1.30.0)", "kubernetes", "mlserver (>=1.2.0,!=1.3.1)", "mlserver-mlflow (>=1.2.0,!=1.3.1)", "prometheus-flask-exporter", "pyarrow", "pysftp", "requests-auth-aws-sigv4", "virtualenv"]
-gateway = ["aiohttp (<4)", "boto3 (>=1.28.56,<2)", "fastapi (<1)", "pydantic (>=1.0,<3)", "uvicorn[standard] (<1)", "watchfiles (<1)"]
+databricks = ["azure-storage-file-datalake (>12)", "boto3 (>1)", "botocore (>1.34)", "google-cloud-storage (>=1.30.0)"]
+extras = ["azureml-core (>=1.2.0)", "boto3", "botocore", "google-cloud-storage (>=1.30.0)", "kubernetes", "mlserver (>=1.2.0,!=1.3.1)", "mlserver-mlflow (>=1.2.0,!=1.3.1)", "prometheus-flask-exporter", "pyarrow", "pysftp", "requests-auth-aws-sigv4", "virtualenv"]
+gateway = ["aiohttp (<4)", "boto3 (>=1.28.56,<2)", "fastapi (<1)", "pydantic (>=1.0,<3)", "slowapi (<1)", "tiktoken (<1)", "uvicorn[standard] (<1)", "watchfiles (<1)"]
+genai = ["aiohttp (<4)", "boto3 (>=1.28.56,<2)", "fastapi (<1)", "pydantic (>=1.0,<3)", "slowapi (<1)", "tiktoken (<1)", "uvicorn[standard] (<1)", "watchfiles (<1)"]
 sqlserver = ["mlflow-dbstore"]
 xethub = ["mlflow-xethub"]
 
@@ -4433,13 +4423,13 @@ tests = ["pytest (>=4.6)"]
 
 [[package]]
 name = "msal"
-version = "1.25.0"
-description = "The Microsoft Authentication Library (MSAL) for Python library"
+version = "1.26.0"
+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."
 optional = true
 python-versions = ">=2.7"
 files = [
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+    {file = "msal-1.26.0.tar.gz", hash = "sha256:224756079fe338be838737682b49f8ebc20a87c1c5eeaf590daae4532b83de15"},
 ]
 
 [package.dependencies]
@@ -4452,85 +4442,101 @@ broker = ["pymsalruntime (>=0.13.2,<0.14)"]
 
 [[package]]
 name = "multidict"
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 description = "multidict implementation"
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 python-versions = ">=3.7"
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 [[package]]
@@ -4706,18 +4712,18 @@ files = [
 
 [[package]]
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+version = "3.5.0"
 description = "Generate mypy stub files from protobuf specs"
 optional = false
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 [package.dependencies]
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-types-protobuf = ">=3.19.12"
+protobuf = ">=4.23.4"
+types-protobuf = ">=4.23.0.2"
 
 [[package]]
 name = "nbclient"
@@ -4743,13 +4749,13 @@ test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=
 
 [[package]]
 name = "nbconvert"
-version = "7.12.0"
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 description = "Converting Jupyter Notebooks"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -4776,7 +4782,7 @@ docs = ["ipykernel", "ipython", "myst-parser", "nbsphinx (>=0.2.12)", "pydata-sp
 qtpdf = ["nbconvert[qtpng]"]
 qtpng = ["pyqtwebengine (>=5.15)"]
 serve = ["tornado (>=6.1)"]
-test = ["flaky", "ipykernel", "ipywidgets (>=7)", "pytest"]
+test = ["flaky", "ipykernel", "ipywidgets (>=7.5)", "pytest"]
 webpdf = ["playwright"]
 
 [[package]]
@@ -4802,13 +4808,13 @@ test = ["pep440", "pre-commit", "pytest", "testpath"]
 
 [[package]]
 name = "nest-asyncio"
-version = "1.5.8"
+version = "1.6.0"
 description = "Patch asyncio to allow nested event loops"
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 python-versions = ">=3.5"
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 [[package]]
@@ -4864,13 +4870,13 @@ twitter = ["twython"]
 
 [[package]]
 name = "notebook"
-version = "7.0.6"
+version = "7.0.7"
 description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
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 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -4981,6 +4987,20 @@ files = [
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 ]
 
+[[package]]
+name = "nvidia-riva-client"
+version = "2.14.0"
+description = "Python implementation of the Riva Client API"
+optional = true
+python-versions = ">=3.7"
+files = [
+    {file = "nvidia_riva_client-2.14.0-py3-none-any.whl", hash = "sha256:c831429b36863eacd408a422adff9230216079c420efee81259a5a3cb06df850"},
+]
+
+[package.dependencies]
+grpcio-tools = "*"
+setuptools = ">=65"
+
 [[package]]
 name = "oauthlib"
 version = "3.2.2"
@@ -4999,13 +5019,13 @@ signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
 
 [[package]]
 name = "oci"
-version = "2.119.1"
+version = "2.121.0"
 description = "Oracle Cloud Infrastructure Python SDK"
 optional = true
 python-versions = "*"
 files = [
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+    {file = "oci-2.121.0-py3-none-any.whl", hash = "sha256:6bfde96aaeaed08a0a0d21c81a79036d448face68f40414864231d62b93783f1"},
+    {file = "oci-2.121.0.tar.gz", hash = "sha256:d040678906867babf16976fa2db5b761dee62a297ddef87ed1101b51488b82ea"},
 ]
 
 [package.dependencies]
@@ -5034,35 +5054,36 @@ requests = "*"
 
 [[package]]
 name = "onnxruntime"
-version = "1.16.3"
+version = "1.17.0"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
 optional = true
 python-versions = "*"
 files = [
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+    {file = "onnxruntime-1.17.0-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5632077c3ab8b0cd4f74b0af9c4e924be012b1a7bcd7daa845763c6c6bf14b7d"},
+    {file = "onnxruntime-1.17.0-cp39-cp39-win32.whl", hash = "sha256:61a12732cba869b3ad2d4e29ab6cb62c7a96f61b8c213f7fcb961ba412b70b37"},
+    {file = "onnxruntime-1.17.0-cp39-cp39-win_amd64.whl", hash = "sha256:461fa0fc7d9c392c352b6cccdedf44d818430f3d6eacd924bb804fdea2dcfd02"},
 ]
 
 [package.dependencies]
@@ -5075,23 +5096,23 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.3.7"
+version = "1.11.1"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.3.7-py3-none-any.whl", hash = "sha256:e5c51367a910297e4d1cd33d2298fb87d7edf681edbe012873925ac16f95bee0"},
-    {file = "openai-1.3.7.tar.gz", hash = "sha256:18074a0f51f9b49d1ae268c7abc36f7f33212a0c0d08ce11b7053ab2d17798de"},
+    {file = "openai-1.11.1-py3-none-any.whl", hash = "sha256:e0f388ce499f53f58079d0c1f571f356f2b168b84d0d24a412506b6abc714980"},
+    {file = "openai-1.11.1.tar.gz", hash = "sha256:f66b8fe431af43e09594147ef3cdcb79758285de72ebafd52be9700a2af41e99"},
 ]
 
 [package.dependencies]
-anyio = ">=3.5.0,<4"
+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 = ">=4.5,<5"
+typing-extensions = ">=4.7,<5"
 
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
@@ -5112,46 +5133,46 @@ pydantic = ">=1.8"
 
 [[package]]
 name = "opencv-python"
-version = "4.8.1.78"
+version = "4.9.0.80"
 description = "Wrapper package for OpenCV python bindings."
 optional = true
 python-versions = ">=3.6"
 files = [
-    {file = "opencv-python-4.8.1.78.tar.gz", hash = "sha256:cc7adbbcd1112877a39274106cb2752e04984bc01a031162952e97450d6117f6"},
-    {file = "opencv_python-4.8.1.78-cp37-abi3-macosx_10_16_x86_64.whl", hash = "sha256:91d5f6f5209dc2635d496f6b8ca6573ecdad051a09e6b5de4c399b8e673c60da"},
-    {file = "opencv_python-4.8.1.78-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:bc31f47e05447da8b3089faa0a07ffe80e114c91ce0b171e6424f9badbd1c5cd"},
-    {file = "opencv_python-4.8.1.78-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9814beca408d3a0eca1bae7e3e5be68b07c17ecceb392b94170881216e09b319"},
-    {file = "opencv_python-4.8.1.78-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c4c406bdb41eb21ea51b4e90dfbc989c002786c3f601c236a99c59a54670a394"},
-    {file = "opencv_python-4.8.1.78-cp37-abi3-win32.whl", hash = "sha256:a7aac3900fbacf55b551e7b53626c3dad4c71ce85643645c43e91fcb19045e47"},
-    {file = "opencv_python-4.8.1.78-cp37-abi3-win_amd64.whl", hash = "sha256:b983197f97cfa6fcb74e1da1802c7497a6f94ed561aba6980f1f33123f904956"},
+    {file = "opencv-python-4.9.0.80.tar.gz", hash = "sha256:1a9f0e6267de3a1a1db0c54213d022c7c8b5b9ca4b580e80bdc58516c922c9e1"},
+    {file = "opencv_python-4.9.0.80-cp37-abi3-macosx_10_16_x86_64.whl", hash = "sha256:7e5f7aa4486651a6ebfa8ed4b594b65bd2d2f41beeb4241a3e4b1b85acbbbadb"},
+    {file = "opencv_python-4.9.0.80-cp37-abi3-macosx_11_0_arm64.whl", hash = "sha256:71dfb9555ccccdd77305fc3dcca5897fbf0cf28b297c51ee55e079c065d812a3"},
+    {file = "opencv_python-4.9.0.80-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7b34a52e9da36dda8c151c6394aed602e4b17fa041df0b9f5b93ae10b0fcca2a"},
+    {file = "opencv_python-4.9.0.80-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e4088cab82b66a3b37ffc452976b14a3c599269c247895ae9ceb4066d8188a57"},
+    {file = "opencv_python-4.9.0.80-cp37-abi3-win32.whl", hash = "sha256:dcf000c36dd1651118a2462257e3a9e76db789a78432e1f303c7bac54f63ef6c"},
+    {file = "opencv_python-4.9.0.80-cp37-abi3-win_amd64.whl", hash = "sha256:3f16f08e02b2a2da44259c7cc712e779eff1dd8b55fdb0323e8cab09548086c0"},
 ]
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
     {version = ">=1.21.0", markers = "python_version <= \"3.9\" and platform_system == \"Darwin\" and platform_machine == \"arm64\" and python_version >= \"3.8\""},
     {version = ">=1.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"aarch64\" and python_version >= \"3.8\" and python_version < \"3.10\" or python_version > \"3.9\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_system != \"Darwin\" and python_version < \"3.10\" or python_version >= \"3.9\" and platform_machine != \"arm64\" and python_version < \"3.10\""},
     {version = ">=1.17.3", markers = "(platform_system != \"Darwin\" and platform_system != \"Linux\") and python_version >= \"3.8\" and python_version < \"3.9\" or platform_system != \"Darwin\" and python_version >= \"3.8\" and python_version < \"3.9\" and platform_machine != \"aarch64\" or platform_machine != \"arm64\" and python_version >= \"3.8\" and python_version < \"3.9\" and platform_system != \"Linux\" or (platform_machine != \"arm64\" and platform_machine != \"aarch64\") and python_version >= \"3.8\" and python_version < \"3.9\""},
     {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
     {version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
+    {version = ">=1.23.5", markers = "python_version >= \"3.11\" and python_version < \"3.12\""},
 ]
 
 [[package]]
 name = "oracle-ads"
-version = "2.9.1"
+version = "2.10.0"
 description = "Oracle Accelerated Data Science SDK"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "oracle_ads-2.9.1-py3-none-any.whl", hash = "sha256:c7792d92af979138f44238fde509bd45d2f608d687ad84b64628efbde9bfc78d"},
-    {file = "oracle_ads-2.9.1.tar.gz", hash = "sha256:5f7d109a0bc7eadc7117e681647356e10c52440944378b827c446e93de69dab9"},
+    {file = "oracle_ads-2.10.0-py3-none-any.whl", hash = "sha256:df2572d8470915ca2c1d9fe4154930e23080c96695316a0caaff56e2d78d46cd"},
+    {file = "oracle_ads-2.10.0.tar.gz", hash = "sha256:90d63250928867fe0a3b4730dc20ea5eed6587d6e069f5fe9f6414eae9df6a1b"},
 ]
 
 [package.dependencies]
 asteval = ">=0.9.25"
 cerberus = ">=1.3.4"
 cloudpickle = ">=1.6.0"
-fsspec = ">=0.8.7,<2023.9.1"
+fsspec = ">=0.8.7"
 gitpython = ">=3.1.2"
 jinja2 = ">=2.11.2"
 matplotlib = ">=3.1.3"
@@ -5171,6 +5192,7 @@ tqdm = ">=4.59.0"
 bds = ["hdfs[kerberos]", "ibis-framework[impala]", "sqlalchemy"]
 boosted = ["lightgbm (<4.0.0)", "xgboost"]
 data = ["datefinder (>=0.7.1)", "fastavro (>=0.24.2)", "htmllistparse (>=0.6.0)", "openpyxl (>=3.0.7)", "oracledb (>=1.0)", "pandavro (>=1.6.0)", "sqlalchemy (>=1.4.1,<=1.4.46)"]
+feature-store-marketplace = ["kubernetes", "oracle-ads[opctl]"]
 forecast = ["autots[additional]", "conda-pack", "datapane", "holidays (==0.21.13)", "inflection", "nbconvert", "nbformat", "neuralprophet", "numpy", "oci-cli", "oci-cli", "optuna (==2.9.0)", "oracle-ads", "oracle-automlx[forecasting] (==23.2.3)", "plotly", "pmdarima", "prophet", "py-cpuinfo", "rich", "shap", "sktime", "statsmodels"]
 geo = ["geopandas", "oracle_ads[viz]"]
 huggingface = ["transformers"]
@@ -5188,72 +5210,72 @@ viz = ["bokeh (>=2.3.0,<=2.4.3)", "folium (>=0.12.1)", "graphviz (<0.17)", "scip
 
 [[package]]
 name = "orjson"
-version = "3.9.10"
+version = "3.9.13"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
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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 = "pkgutil-resolve-name"
@@ -5509,28 +5549,28 @@ files = [
 
 [[package]]
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-version = "4.1.0"
+version = "4.2.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 optional = false
 python-versions = ">=3.8"
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-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"]
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+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
 
 [[package]]
 name = "pluggy"
-version = "1.3.0"
+version = "1.4.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.extras]
@@ -5596,13 +5636,13 @@ twisted = ["twisted"]
 
 [[package]]
 name = "prompt-toolkit"
-version = "3.0.41"
+version = "3.0.43"
 description = "Library for building powerful interactive command lines in Python"
 optional = false
 python-versions = ">=3.7.0"
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 ]
 
 [package.dependencies]
@@ -5610,13 +5650,13 @@ wcwidth = "*"
 
 [[package]]
 name = "proto-plus"
-version = "1.22.3"
+version = "1.23.0"
 description = "Beautiful, Pythonic protocol buffers."
 optional = false
 python-versions = ">=3.6"
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 ]
 
 [package.dependencies]
@@ -5627,61 +5667,47 @@ testing = ["google-api-core[grpc] (>=1.31.5)"]
 
 [[package]]
 name = "protobuf"
-version = "3.19.6"
-description = "Protocol Buffers"
+version = "4.25.2"
+description = ""
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -6223,6 +6249,7 @@ files = [
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@@ -6288,73 +6315,62 @@ snappy = ["python-snappy"]
 test = ["pytest (>=7)"]
 zstd = ["zstandard"]
 
-[[package]]
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-description = "A development tool to measure, monitor and analyze the memory behavior of Python objects."
-optional = true
-python-versions = ">=3.6"
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-
 [[package]]
 name = "pymupdf"
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 description = "A high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents."
 optional = true
 python-versions = ">=3.8"
 files = [
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+[package.dependencies]
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 [[package]]
 name = "pymupdfb"
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+version = "1.23.9"
 description = "MuPDF shared libraries for PyMuPDF."
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -6391,13 +6407,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pypdf"
-version = "3.17.1"
+version = "3.17.4"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
 optional = true
 python-versions = ">=3.6"
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 ]
 
 [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)"]
@@ -7860,7 +7881,7 @@ 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)"]
@@ -7870,7 +7891,7 @@ postgresql-psycopg2binary = ["psycopg2-binary"]
 postgresql-psycopg2cffi = ["psycopg2cffi"]
 postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
-sqlcipher = ["sqlcipher3-binary"]
+sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "sqlite-vss"
@@ -7924,43 +7945,42 @@ tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
 
 [[package]]
 name = "streamlit"
-version = "1.22.0"
+version = "1.31.0"
 description = "A faster way to build and share data apps"
 optional = true
-python-versions = ">=3.7, !=3.9.7"
+python-versions = ">=3.8, !=3.9.7"
 files = [
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 [package.dependencies]
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-gitpython = "!=3.1.19"
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-watchdog = {version = "*", markers = "platform_system != \"Darwin\""}
-
-[package.extras]
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+validators = ">=0.2,<1"
+watchdog = {version = ">=2.1.5", markers = "platform_system != \"Darwin\""}
+
+[package.extras]
+snowflake = ["snowflake-connector-python (>=2.8.0)", "snowflake-snowpark-python (>=0.9.0)"]
 
 [[package]]
 name = "sympy"
@@ -8006,12 +8026,12 @@ widechars = ["wcwidth"]
 
 [[package]]
 name = "telethon"
-version = "1.33.0"
+version = "1.34.0"
 description = "Full-featured Telegram client library for Python 3"
 optional = true
 python-versions = ">=3.5"
 files = [
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 ]
 
 [package.dependencies]
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 python-versions = ">=3.8"
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 [package.dependencies]
@@ -8181,109 +8208,121 @@ testing = ["black", "mypy", "pytest", "pytest-gitignore", "pytest-mock", "respon
 
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 [package.dependencies]
@@ -8441,24 +8480,24 @@ cryptography = ">=35.0.0"
 
 [[package]]
 name = "types-python-dateutil"
-version = "2.8.19.14"
+version = "2.8.19.20240106"
 description = "Typing stubs for python-dateutil"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
-    {file = "types-python-dateutil-2.8.19.14.tar.gz", hash = "sha256:1f4f10ac98bb8b16ade9dbee3518d9ace017821d94b057a425b069f834737f4b"},
-    {file = "types_python_dateutil-2.8.19.14-py3-none-any.whl", hash = "sha256:f977b8de27787639986b4e28963263fd0e5158942b3ecef91b9335c130cb1ce9"},
+    {file = "types-python-dateutil-2.8.19.20240106.tar.gz", hash = "sha256:1f8db221c3b98e6ca02ea83a58371b22c374f42ae5bbdf186db9c9a76581459f"},
+    {file = "types_python_dateutil-2.8.19.20240106-py3-none-any.whl", hash = "sha256:efbbdc54590d0f16152fa103c9879c7d4a00e82078f6e2cf01769042165acaa2"},
 ]
 
 [[package]]
 name = "types-pytz"
-version = "2023.3.1.1"
+version = "2023.4.0.20240130"
 description = "Typing stubs for pytz"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
-    {file = "types-pytz-2023.3.1.1.tar.gz", hash = "sha256:cc23d0192cd49c8f6bba44ee0c81e4586a8f30204970fc0894d209a6b08dab9a"},
-    {file = "types_pytz-2023.3.1.1-py3-none-any.whl", hash = "sha256:1999a123a3dc0e39a2ef6d19f3f8584211de9e6a77fe7a0259f04a524e90a5cf"},
+    {file = "types-pytz-2023.4.0.20240130.tar.gz", hash = "sha256:33676a90bf04b19f92c33eec8581136bea2f35ddd12759e579a624a006fd387a"},
+    {file = "types_pytz-2023.4.0.20240130-py3-none-any.whl", hash = "sha256:6ce76a9f8fd22bd39b01a59c35bfa2db39b60d11a2f77145e97b730de7e64fe0"},
 ]
 
 [[package]]
@@ -8474,13 +8513,13 @@ files = [
 
 [[package]]
 name = "types-redis"
-version = "4.6.0.11"
+version = "4.6.0.20240106"
 description = "Typing stubs for redis"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "types-redis-4.6.0.11.tar.gz", hash = "sha256:c8cfc84635183deca2db4a528966c5566445fd3713983f0034fb0f5a09e0890d"},
-    {file = "types_redis-4.6.0.11-py3-none-any.whl", hash = "sha256:94fc61118601fb4f79206b33b9f4344acff7ca1d7bba67834987fb0efcf6a770"},
+    {file = "types-redis-4.6.0.20240106.tar.gz", hash = "sha256:2b2fa3a78f84559616242d23f86de5f4130dfd6c3b83fb2d8ce3329e503f756e"},
+    {file = "types_redis-4.6.0.20240106-py3-none-any.whl", hash = "sha256:912de6507b631934bd225cdac310b04a58def94391003ba83939e5a10e99568d"},
 ]
 
 [package.dependencies]
@@ -8501,6 +8540,20 @@ files = [
 [package.dependencies]
 types-urllib3 = "*"
 
+[[package]]
+name = "types-requests"
+version = "2.31.0.20240125"
+description = "Typing stubs for requests"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "types-requests-2.31.0.20240125.tar.gz", hash = "sha256:03a28ce1d7cd54199148e043b2079cdded22d6795d19a2c2a6791a4b2b5e2eb5"},
+    {file = "types_requests-2.31.0.20240125-py3-none-any.whl", hash = "sha256:9592a9a4cb92d6d75d9b491a41477272b710e021011a2a3061157e2fb1f1a5d1"},
+]
+
+[package.dependencies]
+urllib3 = ">=2"
+
 [[package]]
 name = "types-toml"
 version = "0.10.8.7"
@@ -8536,13 +8589,13 @@ files = [
 
 [[package]]
 name = "typing-extensions"
-version = "4.8.0"
+version = "4.9.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.8.0-py3-none-any.whl", hash = "sha256:8f92fc8806f9a6b641eaa5318da32b44d401efaac0f6678c9bc448ba3605faa0"},
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+    {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"},
+    {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"},
 ]
 
 [[package]]
@@ -8562,13 +8615,13 @@ typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "tzdata"
-version = "2023.3"
+version = "2023.4"
 description = "Provider of IANA time zone data"
 optional = false
 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]]
@@ -8653,6 +8706,23 @@ brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotl
 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 = "urllib3"
+version = "2.0.7"
+description = "HTTP library with thread-safe connection pooling, file post, and more."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "urllib3-2.0.7-py3-none-any.whl", hash = "sha256:fdb6d215c776278489906c2f8916e6e7d4f5a9b602ccbcfdf7f016fc8da0596e"},
+    {file = "urllib3-2.0.7.tar.gz", hash = "sha256:c97dfde1f7bd43a71c8d2a58e369e9b2bf692d1334ea9f9cae55add7d0dd0f84"},
+]
+
+[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)"]
+
 [[package]]
 name = "uuid"
 version = "1.30"
@@ -8687,21 +8757,23 @@ tooling-extras = ["pyaml (>=23.7.0)", "pypandoc-binary (>=1.11)", "pytest (>=7.4
 
 [[package]]
 name = "vcrpy"
-version = "5.1.0"
+version = "6.0.1"
 description = "Automatically mock your HTTP interactions to simplify and speed up testing"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "vcrpy-5.1.0-py2.py3-none-any.whl", hash = "sha256:605e7b7a63dcd940db1df3ab2697ca7faf0e835c0852882142bafb19649d599e"},
-    {file = "vcrpy-5.1.0.tar.gz", hash = "sha256:bbf1532f2618a04f11bce2a99af3a9647a32c880957293ff91e0a5f187b6b3d2"},
+    {file = "vcrpy-6.0.1.tar.gz", hash = "sha256:9e023fee7f892baa0bbda2f7da7c8ac51165c1c6e38ff8688683a12a4bde9278"},
 ]
 
 [package.dependencies]
 PyYAML = "*"
-urllib3 = {version = "<2", markers = "python_version < \"3.10\""}
+urllib3 = {version = "<2", markers = "platform_python_implementation == \"PyPy\" or python_version < \"3.10\""}
 wrapt = "*"
 yarl = "*"
 
+[package.extras]
+tests = ["Werkzeug (==2.0.3)", "aiohttp", "boto3", "httplib2", "httpx", "pytest", "pytest-aiohttp", "pytest-asyncio", "pytest-cov", "pytest-httpbin", "requests (>=2.22.0)", "tornado", "urllib3"]
+
 [[package]]
 name = "watchdog"
 version = "3.0.0"
@@ -8743,13 +8815,13 @@ watchmedo = ["PyYAML (>=3.10)"]
 
 [[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 = [
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-    {file = "wcwidth-0.2.12.tar.gz", hash = "sha256:f01c104efdf57971bcb756f054dd58ddec5204dd15fa31d6503ea57947d97c02"},
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+    {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
 ]
 
 [[package]]
@@ -8967,13 +9039,13 @@ files = [
 
 [[package]]
 name = "xata"
-version = "1.2.0"
+version = "1.3.0"
 description = "Python SDK for Xata.io"
 optional = true
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "xata-1.2.0-py3-none-any.whl", hash = "sha256:a3710a273c0b64464080e332e24a1754a7fc9076a4117af558353c57f25c23e1"},
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+    {file = "xata-1.3.0-py3-none-any.whl", hash = "sha256:80467b15e5e32bb6277133e34b4d6e729347cdf43e3477061f1ef07dfea73f80"},
+    {file = "xata-1.3.0.tar.gz", hash = "sha256:e99d7dc3500d456526b785b69c95217a3f447657649972e3711872f92d99e360"},
 ]
 
 [package.dependencies]
@@ -9112,101 +9184,101 @@ files = [
 
 [[package]]
 name = "yarl"
-version = "1.9.3"
+version = "1.9.4"
 description = "Yet another URL library"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "yarl-1.9.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:e0381b4ce23ff92f8170080c97678040fc5b08da85e9e292292aba67fdac6c34"},
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+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:29e0f83f37610f173eb7e7b5562dd71467993495e568e708d99e9d1944f561ec"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:1f23e4fe1e8794f74b6027d7cf19dc25f8b63af1483d91d595d4a07eca1fb26c"},
+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:db8e58b9d79200c76956cefd14d5c90af54416ff5353c5bfd7cbe58818e26ef0"},
+    {file = "yarl-1.9.4-cp39-cp39-win32.whl", hash = "sha256:c7224cab95645c7ab53791022ae77a4509472613e839dab722a72abe5a684575"},
+    {file = "yarl-1.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:824d6c50492add5da9374875ce72db7a0733b29c2394890aef23d533106e2b15"},
+    {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
 ]
 
 [package.dependencies]
@@ -9247,9 +9319,9 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 
 [extras]
 cli = ["typer"]
-extended-testing = ["aiosqlite", "aleph-alpha-client", "anthropic", "arxiv", "assemblyai", "atlassian-python-api", "azure-ai-documentintelligence", "beautifulsoup4", "bibtexparser", "cassio", "chardet", "cohere", "dashvector", "databricks-vectorsearch", "datasets", "dgml-utils", "elasticsearch", "esprima", "faiss-cpu", "feedparser", "fireworks-ai", "geopandas", "gitpython", "google-cloud-documentai", "gql", "gradientai", "hdbcli", "hologres-vector", "html2text", "httpx", "javelin-sdk", "jinja2", "jq", "jsonschema", "lxml", "markdownify", "motor", "msal", "mwparserfromhell", "mwxml", "newspaper3k", "numexpr", "oci", "openai", "openapi-pydantic", "oracle-ads", "pandas", "pdfminer-six", "pgvector", "praw", "psychicapi", "py-trello", "pymupdf", "pypdf", "pypdfium2", "pyspark", "rank-bm25", "rapidfuzz", "rapidocr-onnxruntime", "rdflib", "requests-toolbelt", "rspace_client", "scikit-learn", "sqlite-vss", "streamlit", "sympy", "telethon", "timescale-vector", "tqdm", "upstash-redis", "xata", "xmltodict", "zhipuai"]
+extended-testing = ["aiosqlite", "aleph-alpha-client", "anthropic", "arxiv", "assemblyai", "atlassian-python-api", "azure-ai-documentintelligence", "beautifulsoup4", "bibtexparser", "cassio", "chardet", "cohere", "databricks-vectorsearch", "datasets", "dgml-utils", "elasticsearch", "esprima", "faiss-cpu", "feedparser", "fireworks-ai", "geopandas", "gitpython", "google-cloud-documentai", "gql", "gradientai", "hdbcli", "hologres-vector", "html2text", "httpx", "javelin-sdk", "jinja2", "jq", "jsonschema", "lxml", "markdownify", "motor", "msal", "mwparserfromhell", "mwxml", "newspaper3k", "numexpr", "nvidia-riva-client", "oci", "openai", "openapi-pydantic", "oracle-ads", "pandas", "pdfminer-six", "pgvector", "praw", "psychicapi", "py-trello", "pymupdf", "pypdf", "pypdfium2", "pyspark", "rank-bm25", "rapidfuzz", "rapidocr-onnxruntime", "rdflib", "requests-toolbelt", "rspace_client", "scikit-learn", "sqlite-vss", "streamlit", "sympy", "telethon", "timescale-vector", "tqdm", "upstash-redis", "xata", "xmltodict", "zhipuai"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "1ab63edcddcef2deb01e6fff5c376f7b0773435bb9d5b55bc1d50d19a8f1dee2"
+content-hash = "0b962fcc5239d0c57ce7c17fec359e236fdff47970b4863286fd8ae82a9a2079"
diff --git a/libs/community/pyproject.toml b/libs/community/pyproject.toml
index 14a0117adb768..976653eb21900 100644
--- a/libs/community/pyproject.toml
+++ b/libs/community/pyproject.toml
@@ -66,7 +66,6 @@ xata = {version = "^1.0.0a7", optional = true}
 xmltodict = {version = "^0.13.0", optional = true}
 markdownify = {version = "^0.11.6", optional = true}
 assemblyai = {version = "^0.17.0", optional = true}
-dashvector = {version = "^1.0.1", optional = true}
 sqlite-vss = {version = "^0.1.2", optional = true}
 motor = {version = "^3.3.1", optional = true}
 timescale-vector = {version = "^0.0.1", optional = true}
@@ -92,6 +91,7 @@ elasticsearch = {version = "^8.12.0", optional = true}
 hdbcli = {version = "^2.19.21", optional = true}
 oci = {version = "^2.119.1", optional = true}
 rdflib = {version = "7.0.0", optional = true}
+nvidia-riva-client = {version = "^2.14.0", optional = true}
 
 [tool.poetry.group.test]
 optional = true
@@ -229,6 +229,7 @@ extended_testing = [
  "jinja2",
  "gitpython",
  "newspaper3k",
+ "nvidia-riva-client",
  "feedparser",
  "xata",
  "xmltodict",
@@ -236,7 +237,6 @@ extended_testing = [
  "openapi-pydantic",
  "markdownify",
  "arxiv",
- "dashvector",
  "sqlite-vss",
  "rapidocr-onnxruntime",
  "motor",
@@ -258,7 +258,7 @@ extended_testing = [
  "elasticsearch",
  "hdbcli",
  "oci",
- "rdflib",
+ "rdflib"
 ]
 
 [tool.ruff]
diff --git a/libs/community/tests/unit_tests/utilities/test_imports.py b/libs/community/tests/unit_tests/utilities/test_imports.py
index 6499d1b857b2e..a7bd210b4f9bd 100644
--- a/libs/community/tests/unit_tests/utilities/test_imports.py
+++ b/libs/community/tests/unit_tests/utilities/test_imports.py
@@ -24,6 +24,9 @@
     "MaxComputeAPIWrapper",
     "MetaphorSearchAPIWrapper",
     "NasaAPIWrapper",
+    "NVIDIARivaASR",
+    "NVIDIARivaTTS",
+    "NVIDIARivaStream",
     "OpenWeatherMapAPIWrapper",
     "OutlineAPIWrapper",
     "Portkey",
diff --git a/libs/community/tests/unit_tests/utilities/test_nvidia_riva_asr.py b/libs/community/tests/unit_tests/utilities/test_nvidia_riva_asr.py
new file mode 100644
index 0000000000000..b9072dbfbba35
--- /dev/null
+++ b/libs/community/tests/unit_tests/utilities/test_nvidia_riva_asr.py
@@ -0,0 +1,177 @@
+"""Unit tests to verify function of the Riva ASR implementation."""
+
+from typing import TYPE_CHECKING, Any, Generator
+from unittest.mock import patch
+
+import pytest
+
+from langchain_community.utilities.nvidia_riva import (
+    AudioStream,
+    RivaASR,
+    RivaAudioEncoding,
+)
+
+if TYPE_CHECKING:
+    import riva.client
+    import riva.client.proto.riva_asr_pb2 as rasr
+
+AUDIO_DATA_MOCK = [
+    b"This",
+    b"is",
+    b"a",
+    b"test.",
+    b"_",
+    b"Hello.",
+    b"World",
+]
+AUDIO_TEXT_MOCK = b" ".join(AUDIO_DATA_MOCK).decode().strip().split("_")
+
+SVC_URI = "not-a-url.asdf:9999"
+SVC_USE_SSL = True
+CONFIG = {
+    "audio_channel_count": 9,
+    "profanity_filter": False,
+    "enable_automatic_punctuation": False,
+    "url": f"{'https' if SVC_USE_SSL else 'http'}://{SVC_URI}",
+    "ssl_cert": "/dev/null",
+    "encoding": RivaAudioEncoding.ALAW,
+    "language_code": "not-a-language",
+    "sample_rate_hertz": 5,
+}
+
+
+def response_generator(
+    transcript: str = "",
+    empty: bool = False,
+    final: bool = False,
+    alternatives: bool = True,
+) -> "rasr.StreamingRecognizeResponse":
+    """Create a pseudo streaming response."""
+    # pylint: disable-next=import-outside-toplevel
+    import riva.client.proto.riva_asr_pb2 as rasr
+
+    if empty:
+        return rasr.StreamingRecognizeResponse()
+
+    if not alternatives:
+        return rasr.StreamingRecognizeResponse(
+            results=[
+                rasr.StreamingRecognitionResult(
+                    is_final=final,
+                    alternatives=[],
+                )
+            ]
+        )
+
+    return rasr.StreamingRecognizeResponse(
+        results=[
+            rasr.StreamingRecognitionResult(
+                is_final=final,
+                alternatives=[
+                    rasr.SpeechRecognitionAlternative(transcript=transcript.strip())
+                ],
+            )
+        ]
+    )
+
+
+def streaming_recognize_mock(
+    generator: Generator["rasr.StreamingRecognizeRequest", None, None], **_: Any
+) -> Generator["rasr.StreamingRecognizeResponse", None, None]:
+    """A mock function to fake a streaming call to Riva."""
+    yield response_generator(empty=True)
+    yield response_generator(alternatives=False)
+
+    output_transcript = ""
+    for streaming_requests in generator:
+        input_bytes = streaming_requests.audio_content.decode()
+
+        final = input_bytes == "_"
+        if final:
+            input_bytes = ""
+
+        output_transcript += input_bytes + " "
+
+        yield response_generator(final=final, transcript=output_transcript)
+        if final:
+            output_transcript = ""
+
+    yield response_generator(final=True, transcript=output_transcript)
+
+
+def riva_asr_stub_init_patch(
+    self: "riva.client.proto.riva_asr_pb2_grpc.RivaSpeechRecognitionStub", _: Any
+) -> None:
+    """Patch for the Riva asr library."""
+    self.StreamingRecognize = streaming_recognize_mock
+
+
+@pytest.fixture
+def asr() -> RivaASR:
+    """Initialize a copy of the runnable."""
+    return RivaASR(**CONFIG)
+
+
+@pytest.fixture
+def stream() -> AudioStream:
+    """Initialize and populate a sample audio stream."""
+    s = AudioStream()
+    for val in AUDIO_DATA_MOCK:
+        s.put(val)
+    s.close()
+    return s
+
+
+@pytest.mark.requires("riva.client")
+def test_init(asr: RivaASR) -> None:
+    """Test that ASR accepts valid arguments."""
+    for key, expected_val in CONFIG.items():
+        assert getattr(asr, key, None) == expected_val
+
+
+@pytest.mark.requires("riva.client")
+def test_init_defaults() -> None:
+    """Ensure the runnable can be loaded with no arguments."""
+    _ = RivaASR()
+
+
+@pytest.mark.requires("riva.client")
+def test_config(asr: RivaASR) -> None:
+    """Verify the Riva config is properly assembled."""
+    # pylint: disable-next=import-outside-toplevel
+    import riva.client.proto.riva_asr_pb2 as rasr
+
+    expected = rasr.StreamingRecognitionConfig(
+        interim_results=True,
+        config=rasr.RecognitionConfig(
+            encoding=CONFIG["encoding"],
+            sample_rate_hertz=CONFIG["sample_rate_hertz"],
+            audio_channel_count=CONFIG["audio_channel_count"],
+            max_alternatives=1,
+            profanity_filter=CONFIG["profanity_filter"],
+            enable_automatic_punctuation=CONFIG["enable_automatic_punctuation"],
+            language_code=CONFIG["language_code"],
+        ),
+    )
+    assert asr.config == expected
+
+
+@pytest.mark.requires("riva.client")
+def test_get_service(asr: RivaASR) -> None:
+    """Test generating an asr service class."""
+    svc = asr._get_service()
+    assert str(svc.auth.ssl_cert) == CONFIG["ssl_cert"]
+    assert svc.auth.use_ssl == SVC_USE_SSL
+    assert svc.auth.uri == SVC_URI
+
+
+@pytest.mark.requires("riva.client")
+@patch(
+    "riva.client.proto.riva_asr_pb2_grpc.RivaSpeechRecognitionStub.__init__",
+    riva_asr_stub_init_patch,
+)
+def test_invoke(asr: RivaASR, stream: AudioStream) -> None:
+    """Test the invoke method."""
+    got = asr.invoke(stream)
+    expected = " ".join([s.strip() for s in AUDIO_TEXT_MOCK]).strip()
+    assert got == expected
diff --git a/libs/community/tests/unit_tests/utilities/test_nvidia_riva_tts.py b/libs/community/tests/unit_tests/utilities/test_nvidia_riva_tts.py
new file mode 100644
index 0000000000000..321f6d1ea8274
--- /dev/null
+++ b/libs/community/tests/unit_tests/utilities/test_nvidia_riva_tts.py
@@ -0,0 +1,153 @@
+"""Unit tests to verify function of the Riva TTS implementation."""
+
+from typing import TYPE_CHECKING, Any, AsyncGenerator, Generator, cast
+from unittest.mock import patch
+
+import pytest
+
+from langchain_community.utilities.nvidia_riva import RivaAudioEncoding, RivaTTS
+
+if TYPE_CHECKING:
+    import riva.client
+    import riva.client.proto.riva_tts_pb2 as rtts
+
+AUDIO_TEXT_MOCK = ["This is a test.", "Hello world"]
+AUDIO_DATA_MOCK = [s.encode() for s in AUDIO_TEXT_MOCK]
+
+SVC_URI = "not-a-url.asdf:9999"
+SVC_USE_SSL = True
+CONFIG = {
+    "voice_name": "English-Test",
+    "output_directory": None,
+    "url": f"{'https' if SVC_USE_SSL else 'http'}://{SVC_URI}",
+    "ssl_cert": "/dev/null",
+    "encoding": RivaAudioEncoding.ALAW,
+    "language_code": "not-a-language",
+    "sample_rate_hertz": 5,
+}
+
+
+def synthesize_online_mock(
+    request: "rtts.SynthesizeSpeechRequest", **_: Any
+) -> Generator["rtts.SynthesizeSpeechResponse", None, None]:
+    """A mock function to fake a streaming call to Riva."""
+    # pylint: disable-next=import-outside-toplevel
+    import riva.client.proto.riva_tts_pb2 as rtts
+
+    yield rtts.SynthesizeSpeechResponse(
+        audio=f"[{request.language_code},{request.encoding},{request.sample_rate_hz},{request.voice_name}]".encode()
+    )
+    yield rtts.SynthesizeSpeechResponse(audio=request.text.strip().encode())
+
+
+def riva_tts_stub_init_patch(
+    self: "riva.client.proto.riva_tts_pb2_grpc.RivaSpeechSynthesisStub", _: Any
+) -> None:
+    """Patch for the Riva TTS library."""
+    self.SynthesizeOnline = synthesize_online_mock
+
+
+@pytest.fixture
+def tts() -> RivaTTS:
+    """Initialize a copy of the runnable."""
+    return RivaTTS(**CONFIG)
+
+
+@pytest.mark.requires("riva.client")
+def test_init(tts: RivaTTS) -> None:
+    """Test that ASR accepts valid arguments."""
+    for key, expected_val in CONFIG.items():
+        assert getattr(tts, key, None) == expected_val
+
+
+@pytest.mark.requires("riva.client")
+def test_init_defaults() -> None:
+    """Ensure the runnable can be loaded with no arguments."""
+    _ = RivaTTS()
+
+
+@pytest.mark.requires("riva.client")
+def test_get_service(tts: RivaTTS) -> None:
+    """Test the get service method."""
+    svc = tts._get_service()
+    assert str(svc.auth.ssl_cert) == CONFIG["ssl_cert"]
+    assert svc.auth.use_ssl == SVC_USE_SSL
+    assert svc.auth.uri == SVC_URI
+
+
+@pytest.mark.requires("riva.client")
+@patch(
+    "riva.client.proto.riva_tts_pb2_grpc.RivaSpeechSynthesisStub.__init__",
+    riva_tts_stub_init_patch,
+)
+def test_invoke(tts: RivaTTS) -> None:
+    """Test the invoke method."""
+    encoding = cast(RivaAudioEncoding, CONFIG["encoding"]).riva_pb2
+    audio_synth_config = (
+        f"[{CONFIG['language_code']},"
+        f"{encoding},"
+        f"{CONFIG['sample_rate_hertz']},"
+        f"{CONFIG['voice_name']}]"
+    )
+
+    input = " ".join(AUDIO_TEXT_MOCK).strip()
+    response = tts.invoke(input)
+    expected = (audio_synth_config + audio_synth_config.join(AUDIO_TEXT_MOCK)).encode()
+    assert response == expected
+
+
+@pytest.mark.requires("riva.client")
+@patch(
+    "riva.client.proto.riva_tts_pb2_grpc.RivaSpeechSynthesisStub.__init__",
+    riva_tts_stub_init_patch,
+)
+def test_transform(tts: RivaTTS) -> None:
+    """Test the transform method."""
+    encoding = cast(RivaAudioEncoding, CONFIG["encoding"]).riva_pb2
+    audio_synth_config = (
+        f"[{CONFIG['language_code']},"
+        f"{encoding},"
+        f"{CONFIG['sample_rate_hertz']},"
+        f"{CONFIG['voice_name']}]"
+    )
+    expected = (audio_synth_config + audio_synth_config.join(AUDIO_TEXT_MOCK)).encode()
+    for idx, response in enumerate(tts.transform(iter(AUDIO_TEXT_MOCK))):
+        if idx % 2:
+            # odd indices will return the mocked data
+            expected = AUDIO_DATA_MOCK[int((idx - 1) / 2)]
+        else:
+            # even indices will return the request config
+            expected = audio_synth_config.encode()
+        assert response == expected
+
+
+@pytest.mark.requires("riva.client")
+@patch(
+    "riva.client.proto.riva_tts_pb2_grpc.RivaSpeechSynthesisStub.__init__",
+    riva_tts_stub_init_patch,
+)
+async def test_atransform(tts: RivaTTS) -> None:
+    """Test the transform method."""
+    encoding = cast(RivaAudioEncoding, CONFIG["encoding"]).riva_pb2
+    audio_synth_config = (
+        f"[{CONFIG['language_code']},"
+        f"{encoding},"
+        f"{CONFIG['sample_rate_hertz']},"
+        f"{CONFIG['voice_name']}]"
+    )
+    expected = (audio_synth_config + audio_synth_config.join(AUDIO_TEXT_MOCK)).encode()
+    idx = 0
+
+    async def _fake_async_iterable() -> AsyncGenerator[str, None]:
+        for val in AUDIO_TEXT_MOCK:
+            yield val
+
+    async for response in tts.atransform(_fake_async_iterable()):
+        if idx % 2:
+            # odd indices will return the mocked data
+            expected = AUDIO_DATA_MOCK[int((idx - 1) / 2)]
+        else:
+            # even indices will return the request config
+            expected = audio_synth_config.encode()
+        assert response == expected
+        idx += 1