Repository: stanfordnlp/dspy
Pull request #978 (2024-05-06 03:25:50)

add missing kwargs when invoking retrieveRerankEnsemble
When invoking `retrieveRerankEnsemble` in  https://github.com/stanfordnlp/dspy/blob/d7dace6b51e1c0899fd798c575262310939f6deb/dsp/primitives/search.py#L52, it's missing `kwargs` 


Patch:
diff --git a/README.md b/README.md
index 0c3f0669..a9cfc6d4 100644
--- a/README.md
+++ b/README.md
@@ -105,7 +105,6 @@ The DSPy documentation is divided into **tutorials** (step-by-step illustration
 - Interviews: [Weaviate Podcast in-person](https://www.youtube.com/watch?v=CDung1LnLbY), and you can find 6-7 other remote podcasts on YouTube from a few different perspectives/audiences.
 - **Tracing in DSPy** with Arize Phoenix: [Tutorial for tracing your prompts and the steps of your DSPy programs](https://colab.research.google.com/github/Arize-ai/phoenix/blob/main/tutorials/tracing/dspy_tracing_tutorial.ipynb)
 - [DSPy: Not Your Average Prompt Engineering](https://jina.ai/news/dspy-not-your-average-prompt-engineering), why it's crucial for future prompt engineering, and yet why it is challenging for prompt engineers to learn.
-- **Tracing & Optimization Tracking in DSPy** with Parea AI: [Tutorial on tracing & evaluating a DSPy RAG program](https://docs.parea.ai/tutorials/dspy-rag-trace-evaluate/tutorial)
 
 ### B) Guides
 
@@ -137,28 +136,24 @@ You can find other examples tweeted by [@lateinteraction](https://twitter.com/la
 
 **Some other examples (not exhaustive, feel free to add more via PR):**
 
-
-- [DSPy Optimizers Benchmark on a bunch of different tasks, by Michael Ryan](https://github.com/stanfordnlp/dspy/tree/main/testing/tasks)
-- [Sophisticated Extreme Multi-Class Classification, IReRa, by Karel D’Oosterlinck](https://github.com/KarelDO/xmc.dspy)
-- [Haize Lab's Red Teaming with DSPy](https://blog.haizelabs.com/posts/dspy/) and see [their DSPy code](https://github.com/haizelabs/dspy-redteam)
 - Applying DSPy Assertions
   - [Long-form Answer Generation with Citations, by Arnav Singhvi](https://colab.research.google.com/github/stanfordnlp/dspy/blob/main/examples/longformqa/longformqa_assertions.ipynb)
   - [Generating Answer Choices for Quiz Questions, by Arnav Singhvi](https://colab.research.google.com/github/stanfordnlp/dspy/blob/main/examples/quiz/quiz_assertions.ipynb)
   - [Generating Tweets for QA, by Arnav Singhvi](https://colab.research.google.com/github/stanfordnlp/dspy/blob/main/examples/tweets/tweets_assertions.ipynb)
 - [Compiling LCEL runnables from LangChain in DSPy](https://github.com/stanfordnlp/dspy/blob/main/examples/tweets/compiling_langchain.ipynb)
 - [AI feedback, or writing LM-based metrics in DSPy](https://github.com/stanfordnlp/dspy/blob/main/examples/tweets/tweet_metric.py)
-- [DSPy Optimizers Benchmark on a bunch of different tasks, by Michael Ryan](https://github.com/stanfordnlp/dspy/tree/main/testing/README.md)
+- [DSPy Optimizers Benchmark on a bunch of different tasks, by Michael Ryan](https://github.com/stanfordnlp/dspy/tree/main/testing/tasks)
 - [Indian Languages NLI with gains due to compiling by Saiful Haq](https://github.com/saifulhaq95/DSPy-Indic/blob/main/indicxlni.ipynb)
+- [Sophisticated Extreme Multi-Class Classification, IReRa, by Karel D’Oosterlinck](https://github.com/KarelDO/xmc.dspy)
 - [DSPy on BIG-Bench Hard Example, by Chris Levy](https://drchrislevy.github.io/posts/dspy/dspy.html)
 - [Using Ollama with DSPy for Mistral (quantized) by @jrknox1977](https://gist.github.com/jrknox1977/78c17e492b5a75ee5bbaf9673aee4641)
-- [Using DSPy, "The Unreasonable Effectiveness of Eccentric Automatic Prompts" (paper) by VMware's Rick Battle & Teja Gollapudi](https://arxiv.org/abs/2402.10949), and [interview at TheRegister](https://www.theregister.com/2024/02/22/prompt_engineering_ai_models/)
+- [Using DSPy, "The Unreasonable Effectiveness of Eccentric Automatic Prompts" (paper) by VMware's Rick Battle & Teja Gollapudi, and interview at TheRegister](https://www.theregister.com/2024/02/22/prompt_engineering_ai_models/)
 - [Optimizing Performance of Open Source LM for Text-to-SQL using DSPy and vLLM, by Juan Ovalle](https://github.com/jjovalle99/DSPy-Text2SQL)
 - Typed DSPy (contributed by [@normal-computing](https://github.com/normal-computing))
   - [Using DSPy to train Gpt 3.5 on HumanEval by Thomas Ahle](https://github.com/stanfordnlp/dspy/blob/main/examples/functional/functional.ipynb)
   - [Building a chess playing agent using DSPy by Franck SN](https://medium.com/thoughts-on-machine-learning/building-a-chess-playing-agent-using-dspy-9b87c868f71e)
 
-
-TODO: Add links to the state-of-the-art results by the University of Toronto on Clinical NLP, on Theory of Mind (ToM) by Plastic Labs, and the DSPy pipeline from Replit.
+TODO: Add links to the state-of-the-art results on Theory of Mind (ToM) by Plastic Labs, the results by Haize Labs for Red Teaming with DSPy, and the DSPy pipeline from Replit.
 
 There are also recent cool examples at [Weaviate's DSPy cookbook](https://github.com/weaviate/recipes/tree/main/integrations/dspy) by Connor Shorten. [See tutorial on YouTube](https://www.youtube.com/watch?v=CEuUG4Umfxs).
 
diff --git a/docs/api/language_model_clients/AzureOpenAI.md b/docs/api/language_model_clients/AzureOpenAI.md
index 80ac7962..1f173eb5 100644
--- a/docs/api/language_model_clients/AzureOpenAI.md
+++ b/docs/api/language_model_clients/AzureOpenAI.md
@@ -14,8 +14,6 @@ lm = dspy.AzureOpenAI(api_base='...', api_version='2023-12-01-preview', model='g
 
 The constructor initializes the base class `LM` and verifies the provided arguments like the `api_provider`, `api_key`, and `api_base` to set up OpenAI request retrieval through Azure. The `kwargs` attribute is initialized with default values for relevant text generation parameters needed for communicating with the GPT API, such as `temperature`, `max_tokens`, `top_p`, `frequency_penalty`, `presence_penalty`, and `n`.
 
-Azure requires that the deployment id of the Azure deployment to be also provided using the argument `deployment_id`.
-
 ```python
 class AzureOpenAI(LM):
     def __init__(
@@ -55,4 +53,4 @@ After generation, the completions are post-processed based on the `model_type` p
 - `**kwargs`: Additional keyword arguments for completion request.
 
 **Returns:**
-- `List[Dict[str, Any]]`: List of completion choices.
+- `List[Dict[str, Any]]`: List of completion choices.
\ No newline at end of file
diff --git a/docs/docs/building-blocks/1-language_models.md b/docs/docs/building-blocks/1-language_models.md
index ddf5f815..13595ff0 100644
--- a/docs/docs/building-blocks/1-language_models.md
+++ b/docs/docs/building-blocks/1-language_models.md
@@ -10,7 +10,7 @@ Let's first make sure you can set up your language model. DSPy support clients f
 
 ## Setting up the LM client.
 
-You can just call the constructor that connects to the LM. Then, use `dspy.configure` to declare this as the default LM.
+You can just call the constructor that connects to the LM. Then, use `dspy.configure` to declare this as the dexfault LM.
 
 For example, to use OpenAI language models, you can do it as follows.
 
diff --git a/docs/docs/building-blocks/3-modules.md b/docs/docs/building-blocks/3-modules.md
index c4563f00..dad35159 100644
--- a/docs/docs/building-blocks/3-modules.md
+++ b/docs/docs/building-blocks/3-modules.md
@@ -6,7 +6,7 @@ sidebar_position: 3
 
 A **DSPy module** is a building block for programs that use LMs.
 
-- Each built-in module abstracts a **prompting technique** (like chain of thought or ReAct). Crucially, they are generalized to handle any [DSPy Signature](https://dspy-docs.vercel.app/docs/building-blocks/signatures).
+- Each built-in module abstracts a **prompting technique** (like chain of thought or ReAct). Crucially, they are generalized to handle any [DSPy Signature].
 
 - A DSPy module has **learnable parameters** (i.e., the little pieces comprising the prompt and the LM weights) and can be invoked (called) to process inputs and return outputs.
 
@@ -17,7 +17,7 @@ A **DSPy module** is a building block for programs that use LMs.
 
 Let's start with the most fundamental module, `dspy.Predict`. Internally, all other DSPy modules are just built using `dspy.Predict`.
 
-We'll assume you are already at least a little familiar with [DSPy signatures](https://dspy-docs.vercel.app/docs/building-blocks/signatures), which are declarative specs for defining the behavior of any module we use in DSPy.
+We'll assume you are already at least a little familiar with [DSPy signatures], which are declarative specs for defining the behavior of any module we use in DSPy.
 
 To use a module, we first **declare** it by giving it a signature. Then we **call** the module with the input arguments, and extract the output fields!
 
diff --git a/docs/docs/building-blocks/7-assertions.md b/docs/docs/building-blocks/7-assertions.md
index ae6a4985..71ad1631 100644
--- a/docs/docs/building-blocks/7-assertions.md
+++ b/docs/docs/building-blocks/7-assertions.md
@@ -30,7 +30,7 @@ Specifically, when a constraint is not met:
     - Past Output: your model's past output that did not pass the validation_fn
     - Instruction: your user-defined feedback message on what went wrong and what possibly to fix
 
-If the error continues past the `max_backtracking_attempts`, then `dspy.Assert` will halt the pipeline execution, alerting you with an `dspy.AssertionError`. This ensures your program doesn't continue executing with “bad” LM behavior and immediately highlights sample failure outputs for user assessment.
+If the error continues past the `max_backtracking_attempts`, then `dspy.Assert` will halt the pipeline execution, altering you with an `dspy.AssertionError`. This ensures your program doesn't continue executing with “bad” LM behavior and immediately highlights sample failure outputs for user assessment. 
 
 - **dspy.Suggest vs. dspy.Assert**: `dspy.Suggest` on the other hand offers a softer approach. It maintains the same retry backtracking as `dspy.Assert` but instead serves as a gentle nudger. If the model outputs cannot pass the model constraints after the `max_backtracking_attempts`, `dspy.Suggest` will log the persistent failure and continue execution of the program on the rest of the data. This ensures the LM pipeline works in a "best-effort" manner without halting execution. 
 
diff --git a/docs/docs/quick-start/minimal-example.mdx b/docs/docs/quick-start/minimal-example.mdx
index 06e442fa..3b4bee59 100644
--- a/docs/docs/quick-start/minimal-example.mdx
+++ b/docs/docs/quick-start/minimal-example.mdx
@@ -12,7 +12,7 @@ We make use of the [GSM8K dataset](https://huggingface.co/datasets/gsm8k) and th
 
 ## Setup
 
-Before we jump into the example, let's ensure our environment is properly configured. We'll start by importing the necessary modules and configuring our language model:
+Before we delve into the example, let's ensure our environment is properly configured. We'll start by importing the necessary modules and configuring our language model:
 
 ```python
 import dspy
@@ -33,7 +33,7 @@ Let's take a look at what `gsm8k_trainset` and `gsm8k_devset` are:
 print(gsm8k_trainset)
 ```
 
-The `gsm8k_trainset` and `gsm8k_devset` datasets contain a list of Examples with each example having `question` and `answer` field.
+The `gsm8k_trainset` and `gsm8k_devset` datasets contain a list of Examples with each example having `question` and `answer` field. We'll use these datasets to train and evaluate our model.
 
 ## Define the Module
 
@@ -51,7 +51,7 @@ class CoT(dspy.Module):
 
 ## Compile and Evaluate the Model
 
-With our simple program in place, let's move on to compiling it with the [`BootstrapFewShot`](/api/optimizers/BootstrapFewShot) teleprompter:
+With our simple program in place, let's move on to optimizing it using the [`BootstrapFewShot`](/api/optimizers/BootstrapFewShot) teleprompter:
 
 ```python
 from dspy.teleprompt import BootstrapFewShot
@@ -61,11 +61,9 @@ config = dict(max_bootstrapped_demos=4, max_labeled_demos=4)
 
 # Optimize! Use the `gsm8k_metric` here. In general, the metric is going to tell the optimizer how well it's doing.
 teleprompter = BootstrapFewShot(metric=gsm8k_metric, **config)
-optimized_cot = teleprompter.compile(CoT(), trainset=gsm8k_trainset)
+optimized_cot = teleprompter.compile(CoT(), trainset=gsm8k_trainset, valset=gsm8k_devset)
 ```
 
-Note that BootstrapFewShot is not an optimizing teleprompter, i.e. it simple creates and validates examples for steps of the pipeline (in this case, the chain-of-thought reasoning) but does not optimize the metric. Other teleprompters like `BootstrapFewShotWithRandomSearch` and `MIPRO` will apply direct optimization.
-
 ## Evaluate
 
 Now that we have a compiled (optimized) DSPy program, let's move to evaluating its performance on the dev dataset.
diff --git a/dsp/modules/aws_models.py b/dsp/modules/aws_models.py
index 4c893740..94b07cad 100644
--- a/dsp/modules/aws_models.py
+++ b/dsp/modules/aws_models.py
@@ -49,9 +49,6 @@ class AWSModel(LM):
         self._max_context_size: int = max_context_size
         self._max_new_tokens: int = max_new_tokens
 
-        # make it consistent with equivalent LM::max_token
-        self.kwargs["max_tokens"] = max_new_tokens
-
         self.kwargs = {
             **self.kwargs,
             **kwargs,
@@ -66,7 +63,7 @@ class AWSModel(LM):
         """Call model, get generated input without the formatted prompt."""
 
     def _estimate_tokens(self, text: str) -> int:
-        return len(text) / CHARS2TOKENS
+        return len(text)/CHARS2TOKENS
 
     def _extract_input_parameters(
         self,
diff --git a/dsp/modules/lm.py b/dsp/modules/lm.py
index 025acfca..cfe8b88d 100644
--- a/dsp/modules/lm.py
+++ b/dsp/modules/lm.py
@@ -76,8 +76,8 @@ class LM(ABC):
                 text = choices
             elif provider == "openai" or provider == "ollama":
                 text = ' ' + self._get_choice_text(choices[0]).strip()
-            elif provider == "clarifai" or provider == "claude":
-                text = choices
+            elif provider == "clarifai" or provider == "claude" :
+                text=choices
             elif provider == "groq":
                 text = ' ' + choices
             elif provider == "google":
@@ -88,7 +88,7 @@ class LM(ABC):
                 text = choices[0]["text"]
             printing_value += self.print_green(text, end="")
 
-            if len(choices) > 1 and isinstance(choices, list):
+            if len(choices) > 1:
                 printing_value += self.print_red(f" \t (and {len(choices)-1} other completions)", end="")
 
             printing_value += "\n\n\n"
diff --git a/dsp/modules/ollama.py b/dsp/modules/ollama.py
index 7781583b..27304d27 100644
--- a/dsp/modules/ollama.py
+++ b/dsp/modules/ollama.py
@@ -180,15 +180,3 @@ class OllamaLocal(LM):
         completions = [self._get_choice_text(c) for c in choices]
 
         return completions
-    
-    def copy(self, **kwargs):
-        """Returns a copy of the language model with the same parameters."""
-        kwargs = {**self.kwargs, **kwargs}
-
-        return self.__class__(
-            model=self.model_name,
-            model_type=self.model_type,
-            base_url=self.base_url,
-            timeout_s=self.timeout_s,
-            **kwargs,
-        )
diff --git a/dsp/primitives/search.py b/dsp/primitives/search.py
index 0202098f..bfabed49 100644
--- a/dsp/primitives/search.py
+++ b/dsp/primitives/search.py
@@ -49,7 +49,7 @@ def retrieveEnsemble(queries: list[str], k: int, by_prob: bool = True,**kwargs)
     if not dsp.settings.rm:
         raise AssertionError("No RM is loaded.")
     if dsp.settings.reranker:
-        return retrieveRerankEnsemble(queries, k)
+        return retrieveRerankEnsemble(queries, k, **kwargs)
     
     queries = [q for q in queries if q]
 
diff --git a/dspy/__init__.py b/dspy/__init__.py
index e07989ce..62034403 100644
--- a/dspy/__init__.py
+++ b/dspy/__init__.py
@@ -5,10 +5,10 @@ from .predict import *
 from .primitives import *
 from .retrieve import *
 from .signatures import *
-from .utils.logging import logger, set_log_output
 
 # Functional must be imported after primitives, predict and signatures
 from .functional import *  # isort: skip
+from .utils.logging import logger, set_log_output
 
 settings = dsp.settings
 
@@ -25,7 +25,6 @@ Clarifai = dsp.ClarifaiLLM
 Google = dsp.Google
 GoogleVertexAI = dsp.GoogleVertexAI
 GROQ = dsp.GroqLM
-Claude = dsp.Claude
 
 HFClientTGI = dsp.HFClientTGI
 HFClientVLLM = HFClientVLLM
diff --git a/dspy/functional/functional.py b/dspy/functional/functional.py
index 667c86d4..7624ac6f 100644
--- a/dspy/functional/functional.py
+++ b/dspy/functional/functional.py
@@ -22,7 +22,7 @@ def predictor(*args, **kwargs):
         return _StripOutput(TypedPredictor(signature, **kwargs), output_key)
 
     # if we have only a single callable argument, the decorator was invoked with no key word arguments
-    #  so we just return the wrapped function
+    #  so we just return the wrapped function 
     if len(args) == 1 and callable(args[0]) and len(kwargs) == 0:
         return _predictor(args[0])
     return _predictor
@@ -36,7 +36,7 @@ def cot(*args, **kwargs):
         return _StripOutput(TypedChainOfThought(signature, **kwargs), output_key)
 
     # if we have only a single callable argument, the decorator was invoked with no key word arguments
-    #  so we just return the wrapped function
+    #  so we just return the wrapped function 
     if len(args) == 1 and callable(args[0]) and len(kwargs) == 0:
         return _cot(args[0])
     return _cot
@@ -217,7 +217,7 @@ class TypedPredictor(dspy.Module):
                         format=lambda x: x if isinstance(x, str) else str(x),
                         parser=parse,
                     )
-                elif type_ in (str, int, float):
+                elif type_ in (str, int, float, bool):
                     signature = signature.with_updated_fields(
                         name,
                         desc=field.json_schema_extra.get("desc", "")
diff --git a/dspy/teleprompt/bootstrap.py b/dspy/teleprompt/bootstrap.py
index 9030ee6a..8bbecef8 100644
--- a/dspy/teleprompt/bootstrap.py
+++ b/dspy/teleprompt/bootstrap.py
@@ -52,8 +52,9 @@ class BootstrapFewShot(Teleprompter):
         self.error_count = 0
         self.error_lock = threading.Lock()
 
-    def compile(self, student, *, teacher=None, trainset):
+    def compile(self, student, *, teacher=None, trainset, valset=None):
         self.trainset = trainset
+        self.valset = valset
 
         self._prepare_student_and_teacher(student, teacher)
         self._prepare_predictor_mappings()
@@ -132,7 +133,7 @@ class BootstrapFewShot(Teleprompter):
         self.validation = [x for idx, x in enumerate(self.trainset) if idx not in bootstrapped]
         random.Random(0).shuffle(self.validation)
 
-        self.validation = self.validation
+        self.validation = self.valset or self.validation
 
         # NOTE: Can't yet use evaluate because we need to trace *per example*
         # evaluate = Evaluate(program=self.teacher, metric=self.metric, num_threads=12)
diff --git a/poetry.lock b/poetry.lock
index 2bbb30e6..1d68a9da 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
 [[package]]
 name = "aiohttp"
@@ -265,23 +265,6 @@ cffi = ">=1.0.1"
 dev = ["cogapp", "pre-commit", "pytest", "wheel"]
 tests = ["pytest"]
 
-[[package]]
-name = "asgiref"
-version = "3.8.1"
-description = "ASGI specs, helper code, and adapters"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "asgiref-3.8.1-py3-none-any.whl", hash = "sha256:3e1e3ecc849832fe52ccf2cb6686b7a55f82bb1d6aee72a58826471390335e47"},
-    {file = "asgiref-3.8.1.tar.gz", hash = "sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590"},
-]
-
-[package.dependencies]
-typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""}
-
-[package.extras]
-tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
-
 [[package]]
 name = "asttokens"
 version = "2.4.1"
@@ -356,12 +339,13 @@ cryptography = "*"
 
 [[package]]
 name = "autodoc-pydantic"
-version = "2.2.0"
+version = "2.1.0"
 description = "Seamlessly integrate pydantic models in your Sphinx documentation."
 optional = true
-python-versions = "<4.0.0,>=3.8.1"
+python-versions = ">=3.8,<4.0.0"
 files = [
-    {file = "autodoc_pydantic-2.2.0-py3-none-any.whl", hash = "sha256:8c6a36fbf6ed2700ea9c6d21ea76ad541b621fbdf16b5a80ee04673548af4d95"},
+    {file = "autodoc_pydantic-2.1.0-py3-none-any.whl", hash = "sha256:9f1f82ee3667589dfa08b21697be8bbd80b15110e838cd765bb1bf3ce1b0ea8f"},
+    {file = "autodoc_pydantic-2.1.0.tar.gz", hash = "sha256:3cf1b973e2f5ff0fbbe9b951c11827b5e32d3409e238f7f5782359426ab8d360"},
 ]
 
 [package.dependencies]
@@ -370,12 +354,10 @@ pydantic-settings = ">=2.0,<3.0.0"
 Sphinx = ">=4.0"
 
 [package.extras]
-docs = ["myst-parser (>=3.0.0,<4.0.0)", "sphinx-copybutton (>=0.5.0,<0.6.0)", "sphinx-rtd-theme (>=2.0.0,<3.0.0)", "sphinx-tabs (>=3,<4)", "sphinxcontrib-mermaid (>=0.9.0,<0.10.0)"]
-erdantic = ["erdantic (<2.0)"]
-linting = ["ruff (>=0.4.0,<0.5.0)"]
-security = ["pip-audit (>=2.7.2,<3.0.0)"]
-test = ["coverage (>=7,<8)", "defusedxml (>=0.7.1)", "pytest (>=8.0.0,<9.0.0)", "pytest-sugar (>=1.0.0,<2.0.0)"]
-type-checking = ["mypy (>=1.9,<2.0)", "types-docutils (>=0.20,<0.21)", "typing-extensions (>=4.11,<5.0)"]
+dev = ["coverage (>=7,<8)", "flake8 (>=3,<4)", "pytest (>=7,<8)", "sphinx-copybutton (>=0.4,<0.5)", "sphinx-rtd-theme (>=1.0,<2.0)", "sphinx-tabs (>=3,<4)", "sphinxcontrib-mermaid (>=0.7,<0.8)", "tox (>=3,<4)"]
+docs = ["sphinx-copybutton (>=0.4,<0.5)", "sphinx-rtd-theme (>=1.0,<2.0)", "sphinx-tabs (>=3,<4)", "sphinxcontrib-mermaid (>=0.7,<0.8)"]
+erdantic = ["erdantic (>=0.6,<0.7)"]
+test = ["coverage (>=7,<8)", "pytest (>=7,<8)"]
 
 [[package]]
 name = "azure-core"
@@ -418,13 +400,13 @@ aio = ["azure-core[aio] (>=1.28.0,<2.0.0)"]
 
 [[package]]
 name = "babel"
-version = "2.15.0"
+version = "2.14.0"
 description = "Internationalization utilities"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
-    {file = "Babel-2.15.0-py3-none-any.whl", hash = "sha256:08706bdad8d0a3413266ab61bd6c34d0c28d6e1e7badf40a2cebe67644e2e1fb"},
-    {file = "babel-2.15.0.tar.gz", hash = "sha256:8daf0e265d05768bc6c7a314cf1321e9a123afc328cc635c18622a2f30a04413"},
+    {file = "Babel-2.14.0-py3-none-any.whl", hash = "sha256:efb1a25b7118e67ce3a259bed20545c29cb68be8ad2c784c83689981b7a57287"},
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 optional = true
 python-versions = ">=3.7"
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 ]
 
 [package.extras]
@@ -504,33 +486,33 @@ lxml = ["lxml"]
 
 [[package]]
 name = "black"
-version = "24.4.2"
+version = "24.4.0"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
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+    {file = "black-24.4.0.tar.gz", hash = "sha256:f07b69fda20578367eaebbd670ff8fc653ab181e1ff95d84497f9fa20e7d0641"},
 ]
 
 [package.dependencies]
@@ -550,17 +532,17 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.34.98"
+version = "1.34.85"
 description = "The AWS SDK for Python"
 optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "boto3-1.34.85-py3-none-any.whl", hash = "sha256:135f1358fbc7d7dc89ad1a4346cb8da621fdc2aea69deb7b20c71ffec7cde111"},
+    {file = "boto3-1.34.85.tar.gz", hash = "sha256:de73d0f2dec1819074caf3f0888e18f6e13a9fb75ef5f17b1bdd9d1acc127b33"},
 ]
 
 [package.dependencies]
-botocore = ">=1.34.98,<1.35.0"
+botocore = ">=1.34.85,<1.35.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -569,13 +551,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.34.98"
+version = "1.34.85"
 description = "Low-level, data-driven core of boto 3."
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -589,31 +571,6 @@ urllib3 = [
 [package.extras]
 crt = ["awscrt (==0.20.9)"]
 
-[[package]]
-name = "build"
-version = "1.2.1"
-description = "A simple, correct Python build frontend"
-optional = true
-python-versions = ">=3.8"
-files = [
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-
-[package.dependencies]
-colorama = {version = "*", markers = "os_name == \"nt\""}
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-packaging = ">=19.1"
-pyproject_hooks = "*"
-tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
-
-[package.extras]
-docs = ["furo (>=2023.08.17)", "sphinx (>=7.0,<8.0)", "sphinx-argparse-cli (>=1.5)", "sphinx-autodoc-typehints (>=1.10)", "sphinx-issues (>=3.0.0)"]
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-uv = ["uv (>=0.1.18)"]
-virtualenv = ["virtualenv (>=20.0.35)"]
-
 [[package]]
 name = "cachetools"
 version = "5.3.3"
@@ -849,31 +806,27 @@ numpy = "*"
 
 [[package]]
 name = "chromadb"
-version = "0.4.24"
+version = "0.4.17"
 description = "Chroma."
 optional = true
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 fastapi = ">=0.95.2"
 grpcio = ">=1.58.0"
 importlib-resources = "*"
 kubernetes = ">=28.1.0"
-mmh3 = ">=4.0.1"
-numpy = ">=1.22.5"
+numpy = {version = ">=1.22.5", markers = "python_version >= \"3.8\""}
 onnxruntime = ">=1.14.1"
 opentelemetry-api = ">=1.2.0"
 opentelemetry-exporter-otlp-proto-grpc = ">=1.2.0"
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 opentelemetry-sdk = ">=1.2.0"
-orjson = ">=3.9.12"
 overrides = ">=7.3.1"
 posthog = ">=2.4.0"
 pulsar-client = ">=3.1.0"
@@ -966,43 +919,43 @@ test = ["pytest"]
 
 [[package]]
 name = "cryptography"
-version = "42.0.6"
+version = "42.0.5"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
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 python-versions = ">=3.7"
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+    {file = "cryptography-42.0.5-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:37dd623507659e08be98eec89323469e8c7b4c1407c85112634ae3dbdb926fdd"},
+    {file = "cryptography-42.0.5.tar.gz", hash = "sha256:6fe07eec95dfd477eb9530aef5bead34fec819b3aaf6c5bd6d20565da607bfe1"},
 ]
 
 [package.dependencies]
@@ -1189,21 +1142,6 @@ files = [
     {file = "docutils-0.16.tar.gz", hash = "sha256:c2de3a60e9e7d07be26b7f2b00ca0309c207e06c100f9cc2a94931fc75a478fc"},
 ]
 
-[[package]]
-name = "email-validator"
-version = "2.1.1"
-description = "A robust email address syntax and deliverability validation library."
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "email_validator-2.1.1-py3-none-any.whl", hash = "sha256:97d882d174e2a65732fb43bfce81a3a834cbc1bde8bf419e30ef5ea976370a05"},
-    {file = "email_validator-2.1.1.tar.gz", hash = "sha256:200a70680ba08904be6d1eef729205cc0d687634399a5924d842533efb824b84"},
-]
-
-[package.dependencies]
-dnspython = ">=2.0.0"
-idna = ">=2.0.0"
-
 [[package]]
 name = "environs"
 version = "9.5.0"
@@ -1227,13 +1165,13 @@ tests = ["dj-database-url", "dj-email-url", "django-cache-url", "pytest"]
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.1"
+version = "1.2.0"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "exceptiongroup-1.2.1-py3-none-any.whl", hash = "sha256:5258b9ed329c5bbdd31a309f53cbfb0b155341807f6ff7606a1e801a891b29ad"},
-    {file = "exceptiongroup-1.2.1.tar.gz", hash = "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"},
+    {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"},
+    {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"},
 ]
 
 [package.extras]
@@ -1255,70 +1193,41 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth
 
 [[package]]
 name = "fastapi"
-version = "0.111.0"
+version = "0.110.1"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "fastapi-0.111.0-py3-none-any.whl", hash = "sha256:97ecbf994be0bcbdadedf88c3150252bed7b2087075ac99735403b1b76cc8fc0"},
-    {file = "fastapi-0.111.0.tar.gz", hash = "sha256:b9db9dd147c91cb8b769f7183535773d8741dd46f9dc6676cd82eab510228cd7"},
+    {file = "fastapi-0.110.1-py3-none-any.whl", hash = "sha256:5df913203c482f820d31f48e635e022f8cbfe7350e4830ef05a3163925b1addc"},
+    {file = "fastapi-0.110.1.tar.gz", hash = "sha256:6feac43ec359dfe4f45b2c18ec8c94edb8dc2dfc461d417d9e626590c071baad"},
 ]
 
 [package.dependencies]
-email_validator = ">=2.0.0"
-fastapi-cli = ">=0.0.2"
-httpx = ">=0.23.0"
-jinja2 = ">=2.11.2"
-orjson = ">=3.2.1"
 pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
-python-multipart = ">=0.0.7"
 starlette = ">=0.37.2,<0.38.0"
 typing-extensions = ">=4.8.0"
-ujson = ">=4.0.1,<4.0.2 || >4.0.2,<4.1.0 || >4.1.0,<4.2.0 || >4.2.0,<4.3.0 || >4.3.0,<5.0.0 || >5.0.0,<5.1.0 || >5.1.0"
-uvicorn = {version = ">=0.12.0", extras = ["standard"]}
 
 [package.extras]
-all = ["email_validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
-
-[[package]]
-name = "fastapi-cli"
-version = "0.0.2"
-description = "Run and manage FastAPI apps from the command line with FastAPI CLI. 🚀"
-optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "fastapi_cli-0.0.2-py3-none-any.whl", hash = "sha256:d7a8ec89fd52ad16c52de9fe7299e4b22c7a32e1bf28aa886e5517e4927423dd"},
-    {file = "fastapi_cli-0.0.2.tar.gz", hash = "sha256:589565ba758432632eadcf7b950e0ec76bb283b549784d9df17f261a8a9de476"},
-]
-
-[package.dependencies]
-fastapi = "*"
-typer = ">=0.12.3"
-uvicorn = {version = ">=0.29.0", extras = ["standard"]}
+all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
 
 [[package]]
 name = "fastembed"
-version = "0.2.7"
+version = "0.1.3"
 description = "Fast, light, accurate library built for retrieval embedding generation"
 optional = true
-python-versions = "<3.13,>=3.8.0"
+python-versions = ">=3.8.0,<3.12"
 files = [
-    {file = "fastembed-0.2.7-py3-none-any.whl", hash = "sha256:8f21e65e6d5d06bd8727488906c6c4eda8eb86d81be8879a54846dfe8a23c9d3"},
-    {file = "fastembed-0.2.7.tar.gz", hash = "sha256:f5537e3680694afcd3d806c19dd4514030fdc3144e7e9a9db0dfece771922503"},
+    {file = "fastembed-0.1.3-py3-none-any.whl", hash = "sha256:98b6c6d9effec8c96d97048e59cdd53627b16a70fcdbfa7c663772de66e11b3a"},
+    {file = "fastembed-0.1.3.tar.gz", hash = "sha256:c17dc83a02938f8baae6717f18d24ed0ff0c5397b5329cbb5c7264239411346f"},
 ]
 
 [package.dependencies]
-huggingface-hub = ">=0.20,<0.21"
-loguru = ">=0.7.2,<0.8.0"
-numpy = [
-    {version = ">=1.21", markers = "python_version < \"3.12\""},
-    {version = ">=1.26", markers = "python_version >= \"3.12\""},
-]
-onnx = ">=1.15.0,<2.0.0"
-onnxruntime = ">=1.17.0,<2.0.0"
+huggingface-hub = "0.19.4"
+onnx = ">=1.11,<2.0"
+onnxruntime = ">=1.15,<2.0"
 requests = ">=2.31,<3.0"
-tokenizers = ">=0.15,<0.16"
-tqdm = ">=4.66,<5.0"
+tokenizers = ">=0.15.0,<0.16.0"
+tqdm = ">=4.65,<5.0"
 
 [[package]]
 name = "fastjsonschema"
@@ -1336,13 +1245,13 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc
 
 [[package]]
 name = "filelock"
-version = "3.14.0"
+version = "3.13.4"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.14.0-py3-none-any.whl", hash = "sha256:43339835842f110ca7ae60f1e1c160714c5a6afd15a2873419ab185334975c0f"},
-    {file = "filelock-3.14.0.tar.gz", hash = "sha256:6ea72da3be9b8c82afd3edcf99f2fffbb5076335a5ae4d03248bb5b6c3eae78a"},
+    {file = "filelock-3.13.4-py3-none-any.whl", hash = "sha256:404e5e9253aa60ad457cae1be07c0f0ca90a63931200a47d9b6a6af84fd7b45f"},
+    {file = "filelock-3.13.4.tar.gz", hash = "sha256:d13f466618bfde72bd2c18255e269f72542c6e70e7bac83a0232d6b1cc5c8cf4"},
 ]
 
 [package.extras]
@@ -1632,13 +1541,13 @@ test = ["objgraph", "psutil"]
 
 [[package]]
 name = "griffe"
-version = "0.44.0"
+version = "0.42.2"
 description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "griffe-0.44.0-py3-none-any.whl", hash = "sha256:8a4471c469ba980b87c843f1168850ce39d0c1d0c7be140dca2480f76c8e5446"},
-    {file = "griffe-0.44.0.tar.gz", hash = "sha256:34aee1571042f9bf00529bc715de4516fb6f482b164e90d030300601009e0223"},
+    {file = "griffe-0.42.2-py3-none-any.whl", hash = "sha256:bf9a09d7e9dcc3aca6a2c7ab4f63368c19e882f58c816fbd159bea613daddde3"},
+    {file = "griffe-0.42.2.tar.gz", hash = "sha256:d5547b7a1a0786f84042379a5da8bd97c11d0464d4de3d7510328ebce5fda772"},
 ]
 
 [package.dependencies]
@@ -1945,13 +1854,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.20.3"
+version = "0.19.4"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.20.3-py3-none-any.whl", hash = "sha256:d988ae4f00d3e307b0c80c6a05ca6dbb7edba8bba3079f74cda7d9c2e562a7b6"},
-    {file = "huggingface_hub-0.20.3.tar.gz", hash = "sha256:94e7f8e074475fbc67d6a71957b678e1b4a74ff1b64a644fd6cbb83da962d05d"},
+    {file = "huggingface_hub-0.19.4-py3-none-any.whl", hash = "sha256:dba013f779da16f14b606492828f3760600a1e1801432d09fe1c33e50b825bb5"},
+    {file = "huggingface_hub-0.19.4.tar.gz", hash = "sha256:176a4fc355a851c17550e7619488f383189727eab209534d7cef2114dae77b22"},
 ]
 
 [package.dependencies]
@@ -1964,14 +1873,15 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+docs = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "hf-doc-builder", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)", "watchdog"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
 quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-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)"]
 
@@ -2002,13 +1912,13 @@ files = [
 
 [[package]]
 name = "identify"
-version = "2.5.36"
+version = "2.5.35"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "identify-2.5.36-py2.py3-none-any.whl", hash = "sha256:37d93f380f4de590500d9dba7db359d0d3da95ffe7f9de1753faa159e71e7dfa"},
-    {file = "identify-2.5.36.tar.gz", hash = "sha256:e5e00f54165f9047fbebeb4a560f9acfb8af4c88232be60a488e9b68d122745d"},
+    {file = "identify-2.5.35-py2.py3-none-any.whl", hash = "sha256:c4de0081837b211594f8e877a6b4fad7ca32bbfc1a9307fdd61c28bfe923f13e"},
+    {file = "identify-2.5.35.tar.gz", hash = "sha256:10a7ca245cfcd756a554a7288159f72ff105ad233c7c4b9c6f0f4d108f5f6791"},
 ]
 
 [package.extras]
@@ -2038,22 +1948,22 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "7.0.0"
+version = "7.1.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-7.0.0-py3-none-any.whl", hash = "sha256:d97503976bb81f40a193d41ee6570868479c69d5068651eb039c40d850c59d67"},
-    {file = "importlib_metadata-7.0.0.tar.gz", hash = "sha256:7fc841f8b8332803464e5dc1c63a2e59121f46ca186c0e2e182e80bf8c1319f7"},
+    {file = "importlib_metadata-7.1.0-py3-none-any.whl", hash = "sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570"},
+    {file = "importlib_metadata-7.1.0.tar.gz", hash = "sha256:b78938b926ee8d5f020fc4772d487045805a55ddbad2ecf21c6d60938dc7fcd2"},
 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "importlib-resources"
@@ -2084,20 +1994,6 @@ files = [
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
 ]
 
-[[package]]
-name = "intel-openmp"
-version = "2021.4.0"
-description = "Intel OpenMP* Runtime Library"
-optional = false
-python-versions = "*"
-files = [
-    {file = "intel_openmp-2021.4.0-py2.py3-none-macosx_10_15_x86_64.macosx_11_0_x86_64.whl", hash = "sha256:41c01e266a7fdb631a7609191709322da2bbf24b252ba763f125dd651bcc7675"},
-    {file = "intel_openmp-2021.4.0-py2.py3-none-manylinux1_i686.whl", hash = "sha256:3b921236a38384e2016f0f3d65af6732cf2c12918087128a9163225451e776f2"},
-    {file = "intel_openmp-2021.4.0-py2.py3-none-manylinux1_x86_64.whl", hash = "sha256:e2240ab8d01472fed04f3544a878cda5da16c26232b7ea1b59132dbfb48b186e"},
-    {file = "intel_openmp-2021.4.0-py2.py3-none-win32.whl", hash = "sha256:6e863d8fd3d7e8ef389d52cf97a50fe2afe1a19247e8c0d168ce021546f96fc9"},
-    {file = "intel_openmp-2021.4.0-py2.py3-none-win_amd64.whl", hash = "sha256:eef4c8bcc8acefd7f5cd3b9384dbf73d59e2c99fc56545712ded913f43c4a94f"},
-]
-
 [[package]]
 name = "ipykernel"
 version = "6.29.4"
@@ -2231,24 +2127,24 @@ files = [
 
 [[package]]
 name = "joblib"
-version = "1.4.2"
+version = "1.4.0"
 description = "Lightweight pipelining with Python functions"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "joblib-1.4.2-py3-none-any.whl", hash = "sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"},
-    {file = "joblib-1.4.2.tar.gz", hash = "sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
+    {file = "joblib-1.4.0-py3-none-any.whl", hash = "sha256:42942470d4062537be4d54c83511186da1fc14ba354961a2114da91efa9a4ed7"},
+    {file = "joblib-1.4.0.tar.gz", hash = "sha256:1eb0dc091919cd384490de890cb5dfd538410a6d4b3b54eef09fb8c50b409b1c"},
 ]
 
 [[package]]
 name = "jsonschema"
-version = "4.22.0"
+version = "4.21.1"
 description = "An implementation of JSON Schema validation for Python"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema-4.22.0-py3-none-any.whl", hash = "sha256:ff4cfd6b1367a40e7bc6411caec72effadd3db0bbe5017de188f2d6108335802"},
-    {file = "jsonschema-4.22.0.tar.gz", hash = "sha256:5b22d434a45935119af990552c862e5d6d564e8f6601206b305a61fdf661a2b7"},
+    {file = "jsonschema-4.21.1-py3-none-any.whl", hash = "sha256:7996507afae316306f9e2290407761157c6f78002dcf7419acb99822143d1c6f"},
+    {file = "jsonschema-4.21.1.tar.gz", hash = "sha256:85727c00279f5fa6bedbe6238d2aa6403bedd8b4864ab11207d07df3cc1b2ee5"},
 ]
 
 [package.dependencies]
@@ -2552,13 +2448,13 @@ urllib3 = "*"
 
 [[package]]
 name = "marshmallow"
-version = "3.21.2"
+version = "3.21.1"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "marshmallow-3.21.2-py3-none-any.whl", hash = "sha256:70b54a6282f4704d12c0a41599682c5c5450e843b9ec406308653b47c59648a1"},
-    {file = "marshmallow-3.21.2.tar.gz", hash = "sha256:82408deadd8b33d56338d2182d455db632c6313aa2af61916672146bb32edc56"},
+    {file = "marshmallow-3.21.1-py3-none-any.whl", hash = "sha256:f085493f79efb0644f270a9bf2892843142d80d7174bbbd2f3713f2a589dc633"},
+    {file = "marshmallow-3.21.1.tar.gz", hash = "sha256:4e65e9e0d80fc9e609574b9983cf32579f305c718afb30d7233ab818571768c3"},
 ]
 
 [package.dependencies]
@@ -2566,7 +2462,7 @@ packaging = ">=17.0"
 
 [package.extras]
 dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
-docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
+docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.2.6)", "sphinx-issues (==4.0.0)", "sphinx-version-warning (==1.1.2)"]
 tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
@@ -2626,13 +2522,13 @@ files = [
 
 [[package]]
 name = "mike"
-version = "2.1.1"
+version = "2.0.0"
 description = "Manage multiple versions of your MkDocs-powered documentation"
 optional = false
 python-versions = "*"
 files = [
-    {file = "mike-2.1.1-py3-none-any.whl", hash = "sha256:0b1d01a397a423284593eeb1b5f3194e37169488f929b860c9bfe95c0d5efb79"},
-    {file = "mike-2.1.1.tar.gz", hash = "sha256:f39ed39f3737da83ad0adc33e9f885092ed27f8c9e7ff0523add0480352a2c22"},
+    {file = "mike-2.0.0-py3-none-any.whl", hash = "sha256:87f496a65900f93ba92d72940242b65c86f3f2f82871bc60ebdcffc91fad1d9e"},
+    {file = "mike-2.0.0.tar.gz", hash = "sha256:566f1cab1a58cc50b106fb79ea2f1f56e7bfc8b25a051e95e6eaee9fba0922de"},
 ]
 
 [package.dependencies]
@@ -2642,7 +2538,6 @@ jinja2 = ">=2.7"
 mkdocs = ">=1.0"
 pyparsing = ">=3.0"
 pyyaml = ">=5.1"
-pyyaml-env-tag = "*"
 verspec = "*"
 
 [package.extras]
@@ -2651,13 +2546,13 @@ test = ["coverage", "flake8 (>=3.0)", "flake8-quotes", "shtab"]
 
 [[package]]
 name = "minio"
-version = "7.2.7"
+version = "7.2.5"
 description = "MinIO Python SDK for Amazon S3 Compatible Cloud Storage"
 optional = true
 python-versions = "*"
 files = [
-    {file = "minio-7.2.7-py3-none-any.whl", hash = "sha256:59d1f255d852fe7104018db75b3bebbd987e538690e680f7c5de835e422de837"},
-    {file = "minio-7.2.7.tar.gz", hash = "sha256:473d5d53d79f340f3cd632054d0c82d2f93177ce1af2eac34a235bea55708d98"},
+    {file = "minio-7.2.5-py3-none-any.whl", hash = "sha256:ed9176c96d4271cb1022b9ecb8a538b1e55b32ae06add6de16425cab99ef2304"},
+    {file = "minio-7.2.5.tar.gz", hash = "sha256:59d8906e2da248a9caac34d4958a859cc3a44abbe6447910c82b5abfa9d6a2e1"},
 ]
 
 [package.dependencies]
@@ -2680,34 +2575,34 @@ files = [
 
 [[package]]
 name = "mkdocs"
-version = "1.6.0"
+version = "1.5.3"
 description = "Project documentation with Markdown."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
-    {file = "mkdocs-1.6.0-py3-none-any.whl", hash = "sha256:1eb5cb7676b7d89323e62b56235010216319217d4af5ddc543a91beb8d125ea7"},
-    {file = "mkdocs-1.6.0.tar.gz", hash = "sha256:a73f735824ef83a4f3bcb7a231dcab23f5a838f88b7efc54a0eef5fbdbc3c512"},
+    {file = "mkdocs-1.5.3-py3-none-any.whl", hash = "sha256:3b3a78e736b31158d64dbb2f8ba29bd46a379d0c6e324c2246c3bc3d2189cfc1"},
+    {file = "mkdocs-1.5.3.tar.gz", hash = "sha256:eb7c99214dcb945313ba30426c2451b735992c73c2e10838f76d09e39ff4d0e2"},
 ]
 
 [package.dependencies]
 click = ">=7.0"
 colorama = {version = ">=0.4", markers = "platform_system == \"Windows\""}
 ghp-import = ">=1.0"
-importlib-metadata = {version = ">=4.4", markers = "python_version < \"3.10\""}
+importlib-metadata = {version = ">=4.3", markers = "python_version < \"3.10\""}
 jinja2 = ">=2.11.1"
-markdown = ">=3.3.6"
+markdown = ">=3.2.1"
 markupsafe = ">=2.0.1"
 mergedeep = ">=1.3.4"
-mkdocs-get-deps = ">=0.2.0"
 packaging = ">=20.5"
 pathspec = ">=0.11.1"
+platformdirs = ">=2.2.0"
 pyyaml = ">=5.1"
 pyyaml-env-tag = ">=0.1"
 watchdog = ">=2.0"
 
 [package.extras]
 i18n = ["babel (>=2.9.0)"]
-min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-import (==1.0)", "importlib-metadata (==4.4)", "jinja2 (==2.11.1)", "markdown (==3.3.6)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "mkdocs-get-deps (==0.2.0)", "packaging (==20.5)", "pathspec (==0.11.1)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "watchdog (==2.0)"]
+min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-import (==1.0)", "importlib-metadata (==4.3)", "jinja2 (==2.11.1)", "markdown (==3.2.1)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "packaging (==20.5)", "pathspec (==0.11.1)", "platformdirs (==2.2.0)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "typing-extensions (==3.10)", "watchdog (==2.0)"]
 
 [[package]]
 name = "mkdocs-autorefs"
@@ -2739,32 +2634,15 @@ files = [
 [package.dependencies]
 mkdocs = ">=1.0.3"
 
-[[package]]
-name = "mkdocs-get-deps"
-version = "0.2.0"
-description = "MkDocs extension that lists all dependencies according to a mkdocs.yml file"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "mkdocs_get_deps-0.2.0-py3-none-any.whl", hash = "sha256:2bf11d0b133e77a0dd036abeeb06dec8775e46efa526dc70667d8863eefc6134"},
-    {file = "mkdocs_get_deps-0.2.0.tar.gz", hash = "sha256:162b3d129c7fad9b19abfdcb9c1458a651628e4b1dea628ac68790fb3061c60c"},
-]
-
-[package.dependencies]
-importlib-metadata = {version = ">=4.3", markers = "python_version < \"3.10\""}
-mergedeep = ">=1.3.4"
-platformdirs = ">=2.2.0"
-pyyaml = ">=5.1"
-
 [[package]]
 name = "mkdocs-material"
-version = "9.5.21"
+version = "9.5.18"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "mkdocs_material-9.5.21-py3-none-any.whl", hash = "sha256:210e1f179682cd4be17d5c641b2f4559574b9dea2f589c3f0e7c17c5bd1959bc"},
-    {file = "mkdocs_material-9.5.21.tar.gz", hash = "sha256:049f82770f40559d3c2aa2259c562ea7257dbb4aaa9624323b5ef27b2d95a450"},
+    {file = "mkdocs_material-9.5.18-py3-none-any.whl", hash = "sha256:1e0e27fc9fe239f9064318acf548771a4629d5fd5dfd45444fd80a953fe21eb4"},
+    {file = "mkdocs_material-9.5.18.tar.gz", hash = "sha256:a43f470947053fa2405c33995f282d24992c752a50114f23f30da9d8d0c57e62"},
 ]
 
 [package.dependencies]
@@ -2772,7 +2650,7 @@ babel = ">=2.10,<3.0"
 colorama = ">=0.4,<1.0"
 jinja2 = ">=3.0,<4.0"
 markdown = ">=3.2,<4.0"
-mkdocs = ">=1.6,<2.0"
+mkdocs = ">=1.5.3,<1.6.0"
 mkdocs-material-extensions = ">=1.3,<2.0"
 paginate = ">=0.5,<1.0"
 pygments = ">=2.16,<3.0"
@@ -2798,13 +2676,13 @@ files = [
 
 [[package]]
 name = "mkdocstrings"
-version = "0.25.1"
+version = "0.24.3"
 description = "Automatic documentation from sources, for MkDocs."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "mkdocstrings-0.25.1-py3-none-any.whl", hash = "sha256:da01fcc2670ad61888e8fe5b60afe9fee5781017d67431996832d63e887c2e51"},
-    {file = "mkdocstrings-0.25.1.tar.gz", hash = "sha256:c3a2515f31577f311a9ee58d089e4c51fc6046dbd9e9b4c3de4c3194667fe9bf"},
+    {file = "mkdocstrings-0.24.3-py3-none-any.whl", hash = "sha256:5c9cf2a32958cd161d5428699b79c8b0988856b0d4a8c5baf8395fc1bf4087c3"},
+    {file = "mkdocstrings-0.24.3.tar.gz", hash = "sha256:f327b234eb8d2551a306735436e157d0a22d45f79963c60a8b585d5f7a94c1d2"},
 ]
 
 [package.dependencies]
@@ -2827,129 +2705,19 @@ python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"]
 
 [[package]]
 name = "mkdocstrings-python"
-version = "1.10.0"
+version = "1.9.2"
 description = "A Python handler for mkdocstrings."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "mkdocstrings_python-1.9.2-py3-none-any.whl", hash = "sha256:96d82f6424e08db6245e4a15ca95619f4ecd0ddd254c0aa590d4181814e16ee5"},
+    {file = "mkdocstrings_python-1.9.2.tar.gz", hash = "sha256:8546a103c9b22e1778c72c887696acc39a6635fedde3c912ce00f967518a8847"},
 ]
 
 [package.dependencies]
-griffe = ">=0.44"
+griffe = ">=0.37"
 mkdocstrings = ">=0.24.2"
 
-[[package]]
-name = "mkl"
-version = "2021.4.0"
-description = "Intel® oneAPI Math Kernel Library"
-optional = false
-python-versions = "*"
-files = [
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-]
-
-[package.dependencies]
-intel-openmp = "==2021.*"
-tbb = "==2021.*"
-
-[[package]]
-name = "mmh3"
-version = "4.1.0"
-description = "Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
-optional = true
-python-versions = "*"
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-
 [[package]]
 name = "monotonic"
 version = "1.6"
@@ -3408,13 +3176,12 @@ nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
 name = "nvidia-nccl-cu12"
-version = "2.20.5"
+version = "2.19.3"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = false
 python-versions = ">=3"
 files = [
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 ]
 
 [[package]]
@@ -3546,13 +3313,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.25.1"
+version = "1.21.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -3569,123 +3336,50 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.24.0"
+version = "1.16.0"
 description = "OpenTelemetry Python API"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
 deprecated = ">=1.2.6"
-importlib-metadata = ">=6.0,<=7.0"
-
-[[package]]
-name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.24.0"
-description = "OpenTelemetry Protobuf encoding"
-optional = true
-python-versions = ">=3.8"
-files = [
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-]
-
-[package.dependencies]
-opentelemetry-proto = "1.24.0"
+setuptools = ">=16.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-grpc"
-version = "1.24.0"
+version = "1.16.0"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
-deprecated = ">=1.2.6"
+backoff = {version = ">=1.10.0,<3.0.0", markers = "python_version >= \"3.7\""}
 googleapis-common-protos = ">=1.52,<2.0"
 grpcio = ">=1.0.0,<2.0.0"
 opentelemetry-api = ">=1.15,<2.0"
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-opentelemetry-proto = "1.24.0"
-opentelemetry-sdk = ">=1.24.0,<1.25.0"
+opentelemetry-proto = "1.16.0"
+opentelemetry-sdk = ">=1.16.0,<1.17.0"
 
 [package.extras]
 test = ["pytest-grpc"]
 
-[[package]]
-name = "opentelemetry-instrumentation"
-version = "0.45b0"
-description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
-optional = true
-python-versions = ">=3.8"
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-[package.dependencies]
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-wrapt = ">=1.0.0,<2.0.0"
-
-[[package]]
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-description = "ASGI instrumentation for OpenTelemetry"
-optional = true
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-
-[package.dependencies]
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-opentelemetry-semantic-conventions = "0.45b0"
-opentelemetry-util-http = "0.45b0"
-
-[package.extras]
-instruments = ["asgiref (>=3.0,<4.0)"]
-
-[[package]]
-name = "opentelemetry-instrumentation-fastapi"
-version = "0.45b0"
-description = "OpenTelemetry FastAPI Instrumentation"
-optional = true
-python-versions = ">=3.8"
-files = [
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-opentelemetry-instrumentation-asgi = "0.45b0"
-opentelemetry-semantic-conventions = "0.45b0"
-opentelemetry-util-http = "0.45b0"
-
-[package.extras]
-instruments = ["fastapi (>=0.58,<1.0)"]
-
 [[package]]
 name = "opentelemetry-proto"
-version = "1.24.0"
+version = "1.16.0"
 description = "OpenTelemetry Python Proto"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
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+    {file = "opentelemetry_proto-1.16.0-py3-none-any.whl", hash = "sha256:160326d300faf43c3f72c4a916516ee5b63289ceb9828294b698ef943697cbd5"},
+    {file = "opentelemetry_proto-1.16.0.tar.gz", hash = "sha256:e58832dfec64621972a9836f8ae163fb3063946eb02bdf43fae0f76f8cf46d0a"},
 ]
 
 [package.dependencies]
@@ -3693,40 +3387,30 @@ protobuf = ">=3.19,<5.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.24.0"
+version = "1.16.0"
 description = "OpenTelemetry Python SDK"
 optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
-    {file = "opentelemetry_sdk-1.24.0-py3-none-any.whl", hash = "sha256:fa731e24efe832e98bcd90902085b359dcfef7d9c9c00eb5b9a18587dae3eb59"},
-    {file = "opentelemetry_sdk-1.24.0.tar.gz", hash = "sha256:75bc0563affffa827700e0f4f4a68e1e257db0df13372344aebc6f8a64cde2e5"},
+    {file = "opentelemetry_sdk-1.16.0-py3-none-any.whl", hash = "sha256:15f03915eec4839f885a5e6ed959cde59b8690c8c012d07c95b4b138c98dc43f"},
+    {file = "opentelemetry_sdk-1.16.0.tar.gz", hash = "sha256:4d3bb91e9e209dbeea773b5565d901da4f76a29bf9dbc1c9500be3cabb239a4e"},
 ]
 
 [package.dependencies]
-opentelemetry-api = "1.24.0"
-opentelemetry-semantic-conventions = "0.45b0"
+opentelemetry-api = "1.16.0"
+opentelemetry-semantic-conventions = "0.37b0"
+setuptools = ">=16.0"
 typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.45b0"
+version = "0.37b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = true
-python-versions = ">=3.8"
-files = [
-    {file = "opentelemetry_semantic_conventions-0.45b0-py3-none-any.whl", hash = "sha256:a4a6fb9a7bacd9167c082aa4681009e9acdbfa28ffb2387af50c2fef3d30c864"},
-    {file = "opentelemetry_semantic_conventions-0.45b0.tar.gz", hash = "sha256:7c84215a44ac846bc4b8e32d5e78935c5c43482e491812a0bb8aaf87e4d92118"},
-]
-
-[[package]]
-name = "opentelemetry-util-http"
-version = "0.45b0"
-description = "Web util for OpenTelemetry"
-optional = true
-python-versions = ">=3.8"
+python-versions = ">=3.7"
 files = [
-    {file = "opentelemetry_util_http-0.45b0-py3-none-any.whl", hash = "sha256:6628868b501b3004e1860f976f410eeb3d3499e009719d818000f24ce17b6e33"},
-    {file = "opentelemetry_util_http-0.45b0.tar.gz", hash = "sha256:4ce08b6a7d52dd7c96b7705b5b4f06fdb6aa3eac1233b3b0bfef8a0cab9a92cd"},
+    {file = "opentelemetry_semantic_conventions-0.37b0-py3-none-any.whl", hash = "sha256:462982278a42dab01f68641cd89f8460fe1f93e87c68a012a76fb426dcdba5ee"},
+    {file = "opentelemetry_semantic_conventions-0.37b0.tar.gz", hash = "sha256:087ce2e248e42f3ffe4d9fa2303111de72bb93baa06a0f4655980bc1557c4228"},
 ]
 
 [[package]]
@@ -3756,61 +3440,6 @@ document = ["ase", "cmaes (>=0.10.0)", "fvcore", "lightgbm", "matplotlib (!=3.6.
 optional = ["boto3", "cmaes (>=0.10.0)", "google-cloud-storage", "matplotlib (!=3.6.0)", "pandas", "plotly (>=4.9.0)", "redis", "scikit-learn (>=0.24.2)", "scipy", "torch"]
 test = ["coverage", "fakeredis[lua]", "kaleido", "moto", "pytest", "scipy (>=1.9.2)", "torch"]
 
-[[package]]
-name = "orjson"
-version = "3.10.3"
-description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
-optional = true
-python-versions = ">=3.8"
-files = [
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-    {file = "orjson-3.10.3.tar.gz", hash = "sha256:2b166507acae7ba2f7c315dcf185a9111ad5e992ac81f2d507aac39193c2c818"},
-]
-
 [[package]]
 name = "overrides"
 version = "7.7.0"
@@ -3883,7 +3512,6 @@ files = [
 numpy = [
     {version = ">=1.22.4", markers = "python_version < \"3.11\""},
     {version = ">=1.23.2", markers = "python_version == \"3.11\""},
-    {version = ">=1.26.0", markers = "python_version >= \"3.12\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -3994,29 +3622,28 @@ grpc = ["googleapis-common-protos (>=1.53.0)", "grpc-gateway-protoc-gen-openapiv
 
 [[package]]
 name = "platformdirs"
-version = "4.2.1"
-description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
+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"
 files = [
-    {file = "platformdirs-4.2.1-py3-none-any.whl", hash = "sha256:17d5a1161b3fd67b390023cb2d3b026bbd40abde6fdb052dfbd3a29c3ba22ee1"},
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+    {file = "platformdirs-4.2.0-py3-none-any.whl", hash = "sha256:0614df2a2f37e1a662acbd8e2b25b92ccf8632929bc6d43467e17fe89c75e068"},
+    {file = "platformdirs-4.2.0.tar.gz", hash = "sha256:ef0cc731df711022c174543cb70a9b5bd22e5a9337c8624ef2c2ceb8ddad8768"},
 ]
 
 [package.extras]
 docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
 test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
-type = ["mypy (>=1.8)"]
 
 [[package]]
 name = "pluggy"
-version = "1.5.0"
+version = "1.4.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "pluggy-1.4.0.tar.gz", hash = "sha256:8c85c2876142a764e5b7548e7d9a0e0ddb46f5185161049a79b7e974454223be"},
 ]
 
 [package.extras]
@@ -4252,51 +3879,51 @@ files = [
 
 [[package]]
 name = "pyarrow"
-version = "16.0.0"
+version = "15.0.2"
 description = "Python library for Apache Arrow"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -4517,31 +4144,32 @@ yaml = ["pyyaml (>=6.0.1)"]
 
 [[package]]
 name = "pygments"
-version = "2.18.0"
+version = "2.17.2"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
-python-versions = ">=3.8"
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 files = [
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 ]
 
 [package.extras]
+plugins = ["importlib-metadata"]
 windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pymdown-extensions"
-version = "10.8.1"
+version = "10.7.1"
 description = "Extension pack for Python Markdown."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
-markdown = ">=3.6"
+markdown = ">=3.5"
 pyyaml = "*"
 
 [package.extras]
@@ -4549,13 +4177,13 @@ extra = ["pygments (>=2.12)"]
 
 [[package]]
 name = "pymilvus"
-version = "2.4.1"
+version = "2.4.0"
 description = "Python Sdk for Milvus"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -4567,13 +4195,11 @@ pandas = ">=1.2.4"
 protobuf = ">=3.20.0"
 pyarrow = ">=12.0.0"
 requests = "*"
-scipy = "*"
 setuptools = ">=67"
 ujson = ">=2.0.0"
 
 [package.extras]
 model = ["milvus-model (>=0.1.0)"]
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 [[package]]
 name = "pyparsing"
@@ -4599,17 +4225,6 @@ files = [
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 ]
 
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-version = "1.1.0"
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-optional = true
-python-versions = ">=3.7"
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 [[package]]
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 version = "3.4.1"
@@ -4690,20 +4305,6 @@ files = [
 [package.extras]
 cli = ["click (>=5.0)"]
 
-[[package]]
-name = "python-multipart"
-version = "0.0.9"
-description = "A streaming multipart parser for Python"
-optional = true
-python-versions = ">=3.8"
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-
 [[package]]
 name = "pytz"
 version = "2024.1"
@@ -4814,99 +4415,99 @@ pyyaml = "*"
 
 [[package]]
 name = "pyzmq"
-version = "26.0.3"
+version = "26.0.0"
 description = "Python bindings for 0MQ"
 optional = true
 python-versions = ">=3.7"
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@@ -4914,39 +4515,36 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
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 fsspec = "*"
 jinja2 = "*"
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 typing-extensions = ">=4.8.0"
 
 [package.extras]
@@ -6166,13 +5713,13 @@ files = [
 
 [[package]]
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 description = "Fast, Extensible Progress Meter"
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 python-versions = ">=3.7"
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 [package.dependencies]
@@ -6186,18 +5733,18 @@ telegram = ["requests"]
 
 [[package]]
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 [[package]]
 name = "transformers"
@@ -6269,17 +5816,17 @@ vision = ["Pillow (>=10.0.1,<=15.0)"]
 
 [[package]]
 name = "triton"
-version = "2.3.0"
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 python-versions = "*"
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+    {file = "triton-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0af58716e721460a61886668b205963dc4d1e4ac20508cc3f623aef0d70283d5"},
+    {file = "triton-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8fe46d3ab94a8103e291bd44c741cc294b91d1d81c1a2888254cbf7ff846dab"},
+    {file = "triton-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8ce26093e539d727e7cf6f6f0d932b1ab0574dc02567e684377630d86723ace"},
+    {file = "triton-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:227cc6f357c5efcb357f3867ac2a8e7ecea2298cd4606a8ba1e931d1d5a947df"},
 ]
 
 [package.dependencies]
@@ -6508,15 +6055,26 @@ test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)"
 
 [[package]]
 name = "validators"
-version = "0.28.1"
+version = "0.22.0"
 description = "Python Data Validation for Humans™"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "validators-0.28.1-py3-none-any.whl", hash = "sha256:890c98789ad884037f059af6ea915ec2d667129d509180c2c590b8009a4c4219"},
-    {file = "validators-0.28.1.tar.gz", hash = "sha256:5ac88e7916c3405f0ce38ac2ac82a477fcf4d90dbbeddd04c8193171fc17f7dc"},
+    {file = "validators-0.22.0-py3-none-any.whl", hash = "sha256:61cf7d4a62bbae559f2e54aed3b000cea9ff3e2fdbe463f51179b92c58c9585a"},
+    {file = "validators-0.22.0.tar.gz", hash = "sha256:77b2689b172eeeb600d9605ab86194641670cdb73b60afd577142a9397873370"},
 ]
 
+[package.extras]
+docs-offline = ["myst-parser (>=2.0.0)", "pypandoc-binary (>=1.11)", "sphinx (>=7.1.1)"]
+docs-online = ["mkdocs (>=1.5.2)", "mkdocs-git-revision-date-localized-plugin (>=1.2.0)", "mkdocs-material (>=9.2.6)", "mkdocstrings[python] (>=0.22.0)", "pyaml (>=23.7.0)"]
+hooks = ["pre-commit (>=3.3.3)"]
+package = ["build (>=1.0.0)", "twine (>=4.0.2)"]
+runner = ["tox (>=4.11.1)"]
+sast = ["bandit[toml] (>=1.7.5)"]
+testing = ["pytest (>=7.4.0)"]
+tooling = ["black (>=23.7.0)", "pyright (>=1.1.325)", "ruff (>=0.0.287)"]
+tooling-extras = ["pyaml (>=23.7.0)", "pypandoc-binary (>=1.11)", "pytest (>=7.4.0)"]
+
 [[package]]
 name = "verspec"
 version = "0.1.0"
@@ -6533,13 +6091,13 @@ test = ["coverage", "flake8 (>=3.7)", "mypy", "pretend", "pytest"]
 
 [[package]]
 name = "virtualenv"
-version = "20.26.1"
+version = "20.25.3"
 description = "Virtual Python Environment builder"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "virtualenv-20.26.1-py3-none-any.whl", hash = "sha256:7aa9982a728ae5892558bff6a2839c00b9ed145523ece2274fad6f414690ae75"},
-    {file = "virtualenv-20.26.1.tar.gz", hash = "sha256:604bfdceaeece392802e6ae48e69cec49168b9c5f4a44e483963f9242eb0e78b"},
+    {file = "virtualenv-20.25.3-py3-none-any.whl", hash = "sha256:8aac4332f2ea6ef519c648d0bc48a5b1d324994753519919bddbb1aff25a104e"},
+    {file = "virtualenv-20.25.3.tar.gz", hash = "sha256:7bb554bbdfeaacc3349fa614ea5bff6ac300fc7c335e9facf3a3bcfc703f45be"},
 ]
 
 [package.dependencies]
@@ -6692,13 +6250,13 @@ files = [
 
 [[package]]
 name = "weaviate-client"
-version = "4.5.7"
+version = "4.5.5"
 description = "A python native Weaviate client"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "weaviate_client-4.5.7-py3-none-any.whl", hash = "sha256:97958050d215ab64d702e5dd29206c4b855a3372d3ae22f784287a2d0ed085dc"},
-    {file = "weaviate_client-4.5.7.tar.gz", hash = "sha256:130f7371c4af31949e6f3537683813f0e5adb7ec94a5536e2278768c5fe057bf"},
+    {file = "weaviate-client-4.5.5.tar.gz", hash = "sha256:69906588e8eda0a307ad2c5b3c7c7e0ae4b9d80202a5cc97bdd2af15293977e3"},
+    {file = "weaviate_client-4.5.5-py3-none-any.whl", hash = "sha256:70cbd139f8a230723eb2400b8a3fb495055ae8c0897bd837ab58994924de0413"},
 ]
 
 [package.dependencies]
@@ -6706,24 +6264,24 @@ authlib = ">=1.2.1,<2.0.0"
 grpcio = ">=1.57.0,<2.0.0"
 grpcio-health-checking = ">=1.57.0,<2.0.0"
 grpcio-tools = ">=1.57.0,<2.0.0"
-httpx = ">=0.25.0,<=0.27.0"
+httpx = "0.27.0"
 pydantic = ">=2.5.0,<3.0.0"
 requests = ">=2.30.0,<3.0.0"
-validators = "0.28.1"
+validators = "0.22.0"
 
 [[package]]
 name = "websocket-client"
-version = "1.8.0"
+version = "1.7.0"
 description = "WebSocket client for Python with low level API options"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"},
-    {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"},
+    {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"},
+    {file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"},
 ]
 
 [package.extras]
-docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx-rtd-theme (>=1.1.0)"]
+docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"]
 optional = ["python-socks", "wsaccel"]
 test = ["websockets"]
 
@@ -7149,5 +6707,5 @@ weaviate = ["weaviate-client"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = ">=3.9,<3.13"
-content-hash = "4de30ce6a50e3349363b552fee8e457a5bc5b9d0f4e122212c08e21f9b15f514"
+python-versions = ">=3.9,<3.12"
+content-hash = "8fbc1ecc09a8f8aaf59e47f2d5eb21d98aca0d30c794de0b4ec567d3b7b4a0f0"
diff --git a/pyproject.toml b/pyproject.toml
index 1b13f2aa..a706a561 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -9,7 +9,7 @@ description = "DSPy"
 readme = "README.md"
 authors = [{ name = "Omar Khattab", email = "okhattab@stanford.edu" }]
 license = { text = "MIT License" }
-requires-python = ">=3.9, <3.13"
+requires-python = ">=3.9, <3.12"
 classifiers = [
     "Development Status :: 3 - Alpha",
     "Intended Audience :: Science/Research",
@@ -32,18 +32,17 @@ dependencies = [
     "regex",
     "ujson",
     "tqdm",
-    "datasets>=2.14.6,<3.0.0",
+    "datasets~=2.14.6,<3.0.0",
     "requests",
     "optuna",
     "pydantic~=2.0",
     "structlog",
-    "jinja2"
 ]
 
 [project.optional-dependencies]
 anthropic = ["anthropic~=0.18.0"]
 chromadb = ["chromadb~=0.4.14"]
-qdrant = ["qdrant-client>=1.6.2", "fastembed>=0.2.0"]
+qdrant = ["qdrant-client>=1.6.2", "fastembed>=0.1.0"]
 marqo = ["marqo"]
 pinecone = ["pinecone-client~=2.2.4"]
 weaviate = ["weaviate-client~=4.5.4"]
@@ -82,7 +81,7 @@ keywords = ["dspy", "ai", "language models", "llm", "openai"]
 
 
 [tool.poetry.dependencies]
-python = ">=3.9,<3.13"
+python = ">=3.9,<3.12"
 pydantic = "^2.0"
 backoff = "^2.2.1"
 joblib = "^1.3.2"
@@ -96,7 +95,7 @@ requests = "^2.31.0"
 optuna = "^3.4.0"
 anthropic = { version = "^0.18.0", optional = true }
 chromadb = { version = "^0.4.14", optional = true }
-fastembed = { version = "^0.2.0", optional = true }
+fastembed = { version = "^0.1.0", optional = true }
 marqo = { version = "*", optional = true }
 qdrant-client = { version = "^1.6.2", optional = true }
 pinecone-client = { version = "^2.2.4", optional = true }
@@ -119,7 +118,6 @@ rich = "^13.7.1"
 psycopg2 = { version = "^2.9.9", optional = true }
 pgvector = { version = "^0.2.5", optional = true }
 structlog = "^24.1.0"
-jinja2 = "^3.1.3"
 
 
 [tool.poetry.group.dev.dependencies]
diff --git a/skycamp2023.ipynb b/skycamp2023.ipynb
index e1dc7e27..5590509d 100644
--- a/skycamp2023.ipynb
+++ b/skycamp2023.ipynb
@@ -46,8 +46,8 @@
     "import pkg_resources # Install the package if it's not installed\n",
     "if not \"dspy-ai\" in {pkg.key for pkg in pkg_resources.working_set}:\n",
     "    !pip install -U pip\n",
-    "    !pip install dspy-ai==2.1\n",
-    "    # !pip install -e $repo_path\n",
+    "    # !pip install dspy-ai\n",
+    "    !pip install -e $repo_path\n",
     "\n",
     "!pip install transformers"
    ]


Test patch:
diff --git a/tests/teleprompt/test_bootstrap.py b/tests/teleprompt/test_bootstrap.py
index ba2acd55..4758a5aa 100644
--- a/tests/teleprompt/test_bootstrap.py
+++ b/tests/teleprompt/test_bootstrap.py
@@ -54,7 +54,7 @@ def test_compile_with_predict_instances():
         metric=simple_metric, max_bootstrapped_demos=1, max_labeled_demos=1
     )
     compiled_student = bootstrap.compile(
-        student, teacher=teacher, trainset=trainset
+        student, teacher=teacher, trainset=trainset, valset=valset
     )
 
     assert compiled_student is not None, "Failed to compile student"
@@ -74,7 +74,7 @@ def test_bootstrap_effectiveness():
         metric=simple_metric, max_bootstrapped_demos=1, max_labeled_demos=1
     )
     compiled_student = bootstrap.compile(
-        student, teacher=teacher, trainset=trainset
+        student, teacher=teacher, trainset=trainset, valset=valset
     )
 
     # Check that the compiled student has the correct demos
@@ -149,7 +149,7 @@ def test_error_handling_during_bootstrap():
     )
 
     with pytest.raises(RuntimeError, match="Simulated error"):
-        bootstrap.compile(student, teacher=teacher, trainset=trainset)
+        bootstrap.compile(student, teacher=teacher, trainset=trainset, valset=valset)
 
 
 def test_validation_set_usage():
@@ -171,7 +171,7 @@ def test_validation_set_usage():
         metric=simple_metric, max_bootstrapped_demos=1, max_labeled_demos=1
     )
     compiled_student = bootstrap.compile(
-        student, teacher=teacher, trainset=trainset
+        student, teacher=teacher, trainset=trainset, valset=valset
     )
 
     # Check that validation examples are part of student's demos after compilation