feat(add py3.12):

build(deps): bump datasets from 1.18.4 to 3.0.1

.flake8

@@ -2,4 +2,4 @@
     max-line-length = 160
     per-file-ignores =
         # Ignore docstring lints for tests
-        *: D100, D101, D102, D103, D104, D107, D105, D202, D205, D400, E501, D401
+        *: D100, D101, D102, D103, D104, D107, D105, D202, D205, D400, E501, D401, D200

.github/workflows/test.yml

@@ -16,9 +16,9 @@ jobs:
     strategy:
       matrix:
         python-version:
-          - "3.9"
           - "3.10"
           - "3.11"
+          - "3.12"
     steps:
       - uses: actions/checkout@v3
       - name: Install poetry

.pre-commit-config.yaml

@@ -55,12 +55,6 @@ repos:
         language_version: python3
 
 
-  - repo: https://github.com/myint/docformatter
-    rev: v1.4
-    hooks:
-      - id: docformatter
-        args: [--in-place]
-
   - repo: https://github.com/hadialqattan/pycln
     rev: v2.1.1 # Possible releases: https://github.com/hadialqattan/pycln/releases
     hooks:

agentic_security/app.py

@@ -33,6 +33,9 @@ app.add_middleware(
 )
 
 tools_inbox = Queue()
+# Global stop event for cancelling scans
+stop_event = Event()  # Added stop_event to cancel the scan
+
 FEATURE_PROXY = False
 
 
@@ -99,6 +102,7 @@ def streaming_response_generator(scan_parameters: Scan):
             datasets=scan_parameters.datasets,
             tools_inbox=tools_inbox,
             optimize=scan_parameters.optimize,
+            stop_event=stop_event,  # Pass the stop_event to the generator
         ):
             yield scan_result + "\n"  # Adding a newline for separation
 
@@ -238,6 +242,12 @@ config.dictConfig(
 )
 
 
+@app.post("/stop")
+async def stop_scan():
+    stop_event.set()  # Set the stop event to cancel the scan
+    return {"status": "Scan stopped"}
+
+
 class LogNon200ResponsesMiddleware(BaseHTTPMiddleware):
     async def dispatch(self, request: Request, call_next):
         try:

agentic_security/probe_actor/fuzzer.py

@@ -1,8 +1,8 @@
+import asyncio
 import os
 from typing import AsyncGenerator
 
 import httpx
-import numpy as np
 import pandas as pd
 from loguru import logger
 from pydantic import BaseModel
@@ -50,6 +50,7 @@ async def perform_scan(
     datasets: list[dict[str, str]] = [],
     tools_inbox=None,
     optimize=False,
+    stop_event: asyncio.Event = None,
 ) -> AsyncGenerator[str, None]:
     if IS_VERCEL:
         yield ScanResult.status_msg(
@@ -82,6 +83,12 @@ async def perform_scan(
         )
         should_stop_early = False
         async for prompt in prompt_iter(module.prompts):
+            if stop_event and stop_event.is_set():  # Check if stop_event is set
+                stop_event.clear()  # Clear the event for the next scan
+                logger.info("Scan stopped by user.")
+                yield ScanResult.status_msg("Scan stopped by user.")
+                return  # Exit the scan gracefully
+
             processed_prompts += 1
             progress = 100 * processed_prompts / total_prompts if total_prompts else 0
 

agentic_security/probe_actor/refusal.py

@@ -1,3 +1,8 @@
+from agentic_security.refusal_classifier import RefusalClassifier
+
+classifier = RefusalClassifier()
+classifier.load_model()
+
 REFUSAL_MARKS = [
     "I'm sorry",
     "Sorry",
@@ -45,4 +50,4 @@ def check_refusal(response: str, refusal_phrases: list = REFUSAL_MARKS) -> bool:
 
 def refusal_heuristic(request_json):
     # TODO: improve this heuristic
-    return check_refusal(str(request_json))
+    return check_refusal(str(request_json)) or classifier.is_refusal(str(request_json))

agentic_security/refusal_classifier/__init__.py

@@ -0,0 +1 @@
+from .model import RefusalClassifier  # noqa

agentic_security/refusal_classifier/model.py

@@ -0,0 +1,94 @@
+import os
+
+import joblib
+import pandas as pd
+from sklearn.feature_extraction.text import TfidfVectorizer
+from sklearn.preprocessing import StandardScaler
+from sklearn.svm import OneClassSVM
+
+
+class RefusalClassifier:
+    def __init__(self, model_path=None, vectorizer_path=None, scaler_path=None):
+        self.model = None
+        self.vectorizer = None
+        self.scaler = None
+        self.model_path = (
+            model_path
+            or "agentic_security/refusal_classifier/oneclass_svm_model.joblib"
+        )
+        self.vectorizer_path = (
+            vectorizer_path
+            or "agentic_security/refusal_classifier/tfidf_vectorizer.joblib"
+        )
+        self.scaler_path = (
+            scaler_path or "agentic_security/refusal_classifier/scaler.joblib"
+        )
+
+    def train(self, data_paths):
+        """
+        Train the refusal classifier.
+
+        Parameters:
+        - data_paths (list): List of file paths to CSV files containing the training data.
+        """
+        # Load and concatenate data from multiple CSV files
+        texts = []
+        for data_path in data_paths:
+            df = pd.read_csv(os.path.expanduser(data_path))
+            # Assuming the CSV has columns named 'GPT4_response', 'ChatGPT_response', 'Claude_response'
+            responses = pd.concat(
+                [df["GPT4_response"], df["ChatGPT_response"], df["Claude_response"]],
+                ignore_index=True,
+            )
+            texts.extend(responses.tolist())
+
+        # Remove any NaN values
+        texts = [text for text in texts if isinstance(text, str)]
+
+        # Vectorize the text data
+        self.vectorizer = TfidfVectorizer(max_features=1000)
+        X = self.vectorizer.fit_transform(texts)
+
+        # Scale the features
+        self.scaler = StandardScaler(with_mean=False)
+        X_scaled = self.scaler.fit_transform(X)
+
+        # Train the One-Class SVM model
+        self.model = OneClassSVM(kernel="rbf", gamma="auto", nu=0.05)
+        self.model.fit(X_scaled)
+
+    def save_model(self):
+        """
+        Save the trained model, vectorizer, and scaler to disk.
+        """
+        joblib.dump(self.model, self.model_path)
+        joblib.dump(self.vectorizer, self.vectorizer_path)
+        joblib.dump(self.scaler, self.scaler_path)
+
+    def load_model(self):
+        """
+        Load the trained model, vectorizer, and scaler from disk.
+        """
+        self.model = joblib.load(self.model_path)
+        self.vectorizer = joblib.load(self.vectorizer_path)
+        self.scaler = joblib.load(self.scaler_path)
+
+    def is_refusal(self, text):
+        """
+        Predict whether a given text is a refusal response.
+
+        Parameters:
+        - text (str): The input text to classify.
+
+        Returns:
+        - bool: True if the text is a refusal response, False otherwise.
+        """
+        if not self.model or not self.vectorizer or not self.scaler:
+            raise ValueError(
+                "Model, vectorizer, or scaler not loaded. Call load_model() first."
+            )
+
+        x = self.vectorizer.transform([text])
+        x_scaled = self.scaler.transform(x)
+        prediction = self.model.predict(x_scaled)
+        return prediction[0] == 1  # Returns True if it's a refusal response

agentic_security/static/index.html

@@ -335,6 +335,7 @@
           </button>
           <button
             @click="startScan"
+            v-if="!scanRunning"
             class="bg-dark-accent-green text-dark-bg rounded-lg px-6 py-3 font-medium hover:bg-opacity-80 transition-colors flex items-center">
             <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24"
               viewBox="0 0 24 24" fill="none" stroke="currentColor"
@@ -342,6 +343,18 @@
               class="mr-2"><polygon points="5 3 19 12 5 21 5 3"></polygon></svg>
             Run Scan
           </button>
+          <button
+            @click="stopScan"
+            v-if="scanRunning"
+            class="bg-dark-accent-red text-dark-bg rounded-lg px-6 py-3 font-medium hover:bg-opacity-80 transition-colors flex items-center">
+            <!-- Stop Icon -->
+            <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24"
+              viewBox="0 0 24 24" fill="none" stroke="currentColor"
+              stroke-width="2" stroke-linecap="round" stroke-linejoin="round"
+              class="mr-2"><rect x="6" y="6" width="12"
+                height="12"></rect></svg>
+            Stop Scan
+          </button>
         </section>
 
         <!-- Progress Bar -->

agentic_security/static/main.js

@@ -341,6 +341,15 @@ var app = new Vue({
             }
             this.budget = value;
         },
+        stopScan: async function () {
+            this.scanRunning = false;
+            const response = await fetch(`${URL}/stop`, {
+                method: 'POST',
+                headers: {
+                    'Content-Type': 'application/json',
+                },
+            });
+        },
         startScan: async function () {
             this.showLLMSpec = false;
             let payload = {
@@ -358,6 +367,7 @@ var app = new Vue({
             });
             this.okMsg = 'Scan started';
             this.mainTable = [];
+            this.scanRunning = true;
             const reader = response.body.getReader();
             let receivedLength = 0; // received that many bytes at the moment
             let chunks = []; // array of received binary chunks (comprises the body)

poetry.lock

@@ -205,33 +205,33 @@ tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "black"
-version = "24.8.0"
+version = "24.10.0"
 description = "The uncompromising code formatter."
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "black-24.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:09cdeb74d494ec023ded657f7092ba518e8cf78fa8386155e4a03fdcc44679e6"},
+    {file = "black-24.10.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e6668650ea4b685440857138e5fe40cde4d652633b1bdffc62933d0db4ed9812"},
-    {file = "black-24.8.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:81c6742da39f33b08e791da38410f32e27d632260e599df7245cccee2064afeb"},
+    {file = "black-24.10.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1c536fcf674217e87b8cc3657b81809d3c085d7bf3ef262ead700da345bfa6ea"},
-    {file = "black-24.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:707a1ca89221bc8a1a64fb5e15ef39cd755633daa672a9db7498d1c19de66a42"},
+    {file = "black-24.10.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:649fff99a20bd06c6f727d2a27f401331dc0cc861fb69cde910fe95b01b5928f"},
-    {file = "black-24.8.0-cp310-cp310-win_amd64.whl", hash = "sha256:d6417535d99c37cee4091a2f24eb2b6d5ec42b144d50f1f2e436d9fe1916fe1a"},
+    {file = "black-24.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:fe4d6476887de70546212c99ac9bd803d90b42fc4767f058a0baa895013fbb3e"},
-    {file = "black-24.8.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:fb6e2c0b86bbd43dee042e48059c9ad7830abd5c94b0bc518c0eeec57c3eddc1"},
+    {file = "black-24.10.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5a2221696a8224e335c28816a9d331a6c2ae15a2ee34ec857dcf3e45dbfa99ad"},
-    {file = "black-24.8.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:837fd281f1908d0076844bc2b801ad2d369c78c45cf800cad7b61686051041af"},
+    {file = "black-24.10.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f9da3333530dbcecc1be13e69c250ed8dfa67f43c4005fb537bb426e19200d50"},
-    {file = "black-24.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:62e8730977f0b77998029da7971fa896ceefa2c4c4933fcd593fa599ecbf97a4"},
+    {file = "black-24.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4007b1393d902b48b36958a216c20c4482f601569d19ed1df294a496eb366392"},
-    {file = "black-24.8.0-cp311-cp311-win_amd64.whl", hash = "sha256:72901b4913cbac8972ad911dc4098d5753704d1f3c56e44ae8dce99eecb0e3af"},
+    {file = "black-24.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:394d4ddc64782e51153eadcaaca95144ac4c35e27ef9b0a42e121ae7e57a9175"},
-    {file = "black-24.8.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:7c046c1d1eeb7aea9335da62472481d3bbf3fd986e093cffd35f4385c94ae368"},
+    {file = "black-24.10.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b5e39e0fae001df40f95bd8cc36b9165c5e2ea88900167bddf258bacef9bbdc3"},
-    {file = "black-24.8.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:649f6d84ccbae73ab767e206772cc2d7a393a001070a4c814a546afd0d423aed"},
+    {file = "black-24.10.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:d37d422772111794b26757c5b55a3eade028aa3fde43121ab7b673d050949d65"},
-    {file = "black-24.8.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2b59b250fdba5f9a9cd9d0ece6e6d993d91ce877d121d161e4698af3eb9c1018"},
+    {file = "black-24.10.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:14b3502784f09ce2443830e3133dacf2c0110d45191ed470ecb04d0f5f6fcb0f"},
-    {file = "black-24.8.0-cp312-cp312-win_amd64.whl", hash = "sha256:6e55d30d44bed36593c3163b9bc63bf58b3b30e4611e4d88a0c3c239930ed5b2"},
+    {file = "black-24.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:30d2c30dc5139211dda799758559d1b049f7f14c580c409d6ad925b74a4208a8"},
-    {file = "black-24.8.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:505289f17ceda596658ae81b61ebbe2d9b25aa78067035184ed0a9d855d18afd"},
+    {file = "black-24.10.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:1cbacacb19e922a1d75ef2b6ccaefcd6e93a2c05ede32f06a21386a04cedb981"},
-    {file = "black-24.8.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b19c9ad992c7883ad84c9b22aaa73562a16b819c1d8db7a1a1a49fb7ec13c7d2"},
+    {file = "black-24.10.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:1f93102e0c5bb3907451063e08b9876dbeac810e7da5a8bfb7aeb5a9ef89066b"},
-    {file = "black-24.8.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1f13f7f386f86f8121d76599114bb8c17b69d962137fc70efe56137727c7047e"},
+    {file = "black-24.10.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ddacb691cdcdf77b96f549cf9591701d8db36b2f19519373d60d31746068dbf2"},
-    {file = "black-24.8.0-cp38-cp38-win_amd64.whl", hash = "sha256:f490dbd59680d809ca31efdae20e634f3fae27fba3ce0ba3208333b713bc3920"},
+    {file = "black-24.10.0-cp313-cp313-win_amd64.whl", hash = "sha256:680359d932801c76d2e9c9068d05c6b107f2584b2a5b88831c83962eb9984c1b"},
-    {file = "black-24.8.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:eab4dd44ce80dea27dc69db40dab62d4ca96112f87996bca68cd75639aeb2e4c"},
+    {file = "black-24.10.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:17374989640fbca88b6a448129cd1745c5eb8d9547b464f281b251dd00155ccd"},
-    {file = "black-24.8.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3c4285573d4897a7610054af5a890bde7c65cb466040c5f0c8b732812d7f0e5e"},
+    {file = "black-24.10.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:63f626344343083322233f175aaf372d326de8436f5928c042639a4afbbf1d3f"},
-    {file = "black-24.8.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9e84e33b37be070ba135176c123ae52a51f82306def9f7d063ee302ecab2cf47"},
+    {file = "black-24.10.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ccfa1d0cb6200857f1923b602f978386a3a2758a65b52e0950299ea014be6800"},
-    {file = "black-24.8.0-cp39-cp39-win_amd64.whl", hash = "sha256:73bbf84ed136e45d451a260c6b73ed674652f90a2b3211d6a35e78054563a9bb"},
+    {file = "black-24.10.0-cp39-cp39-win_amd64.whl", hash = "sha256:2cd9c95431d94adc56600710f8813ee27eea544dd118d45896bb734e9d7a0dc7"},
-    {file = "black-24.8.0-py3-none-any.whl", hash = "sha256:972085c618ee94f402da1af548a4f218c754ea7e5dc70acb168bfaca4c2542ed"},
+    {file = "black-24.10.0-py3-none-any.whl", hash = "sha256:3bb2b7a1f7b685f85b11fed1ef10f8a9148bceb49853e47a294a3dd963c1dd7d"},
-    {file = "black-24.8.0.tar.gz", hash = "sha256:2500945420b6784c38b9ee885af039f5e7471ef284ab03fa35ecdde4688cd83f"},
+    {file = "black-24.10.0.tar.gz", hash = "sha256:846ea64c97afe3bc677b761787993be4991810ecc7a4a937816dd6bddedc4875"},
 ]
 
 [package.dependencies]
@@ -245,7 +245,7 @@ typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
 colorama = ["colorama (>=0.4.3)"]
-d = ["aiohttp (>=3.7.4)", "aiohttp (>=3.7.4,!=3.9.0)"]
+d = ["aiohttp (>=3.10)"]
 jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
 uvloop = ["uvloop (>=0.15.2)"]
 
@@ -486,43 +486,45 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
 [[package]]
 name = "datasets"
-version = "1.18.4"
+version = "3.0.1"
 description = "HuggingFace community-driven open-source library of datasets"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8.0"
 files = [
-    {file = "datasets-1.18.4-py3-none-any.whl", hash = "sha256:e13695ad7aeda2af4430ac1a0b62def9c4b60bb4cc14dbaa240e6683cac50c49"},
+    {file = "datasets-3.0.1-py3-none-any.whl", hash = "sha256:db080aab41c8cc68645117a0f172e5c6789cbc672f066de0aa5a08fc3eebc686"},
-    {file = "datasets-1.18.4.tar.gz", hash = "sha256:8f28a7afc2f894c68cb017335a32812f443fe41bc59c089cbd15d7412d3f7f96"},
+    {file = "datasets-3.0.1.tar.gz", hash = "sha256:40d63b09e76a3066c32e746d6fdc36fd3f29ed2acd49bf5b1a2100da32936511"},
 ]
 
 [package.dependencies]
 aiohttp = "*"
-dill = "*"
+dill = ">=0.3.0,<0.3.9"
-fsspec = {version = ">=2021.05.0", extras = ["http"]}
+filelock = "*"
-huggingface-hub = ">=0.1.0,<1.0.0"
+fsspec = {version = ">=2023.1.0,<=2024.6.1", extras = ["http"]}
+huggingface-hub = ">=0.22.0"
 multiprocess = "*"
 numpy = ">=1.17"
 packaging = "*"
 pandas = "*"
-pyarrow = ">=3.0.0,<4.0.0 || >4.0.0"
+pyarrow = ">=15.0.0"
-requests = ">=2.19.0"
+pyyaml = ">=5.1"
-responses = "<0.19"
+requests = ">=2.32.2"
-tqdm = ">=4.62.1"
+tqdm = ">=4.66.3"
 xxhash = "*"
 
 [package.extras]
-apache-beam = ["apache-beam (>=2.26.0)"]
+audio = ["librosa", "soundfile (>=0.12.1)", "soxr (>=0.4.0)"]
-audio = ["librosa"]
+benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
-benchmarks = ["numpy (==1.18.5)", "tensorflow (==2.3.0)", "torch (==1.6.0)", "transformers (==3.0.2)"]
+dev = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "ruff (>=0.3.0)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch", "torch (>=2.0.0)", "torchdata", "transformers", "transformers (>=4.42.0)", "zstandard"]
-dev = ["Pillow (>=6.2.1)", "Werkzeug (>=1.0.1)", "absl-py", "aiobotocore", "apache-beam (>=2.26.0)", "bert-score (>=0.3.6)", "black (>=22.0,<23.0)", "boto3", "botocore", "bs4", "conllu", "elasticsearch (<8.0.0)", "fairseq", "faiss-cpu (>=1.6.4)", "fastBPE (==0.1.0)", "flake8 (>=3.8.3)", "fsspec[s3]", "h5py", "importlib-resources", "isort (>=5.0.0)", "jiwer", "langdetect", "librosa", "lxml", "mauve-text", "moto[s3,server] (==2.0.4)", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "pytest", "pytest-datadir", "pytest-xdist", "pytorch-lightning", "pytorch-nlp (==0.5.0)", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "requests-file (>=1.5.1)", "rouge-score", "s3fs (==2021.08.1)", "sacrebleu", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "soundfile", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "torch", "torchaudio", "torchmetrics (==0.6.0)", "transformers", "wget (>=3.2)", "zstandard"]
+docs = ["s3fs", "tensorflow (>=2.6.0)", "torch", "transformers"]
-docs = ["Markdown (!=3.3.5)", "docutils (==0.16.0)", "fsspec (<2021.9.0)", "myst-parser", "recommonmark", "s3fs", "sphinx (==3.1.2)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-markdown-tables", "sphinx-panels", "sphinx-rtd-theme (==0.4.3)", "sphinxext-opengraph (==0.4.1)"]
+jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
-quality = ["black (>=22.0,<23.0)", "flake8 (>=3.8.3)", "isort (>=5.0.0)", "pyyaml (>=5.3.1)"]
+quality = ["ruff (>=0.3.0)"]
-s3 = ["boto3", "botocore", "fsspec", "s3fs"]
+s3 = ["s3fs"]
-tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)"]
+tensorflow = ["tensorflow (>=2.6.0)"]
-tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
+tensorflow-gpu = ["tensorflow (>=2.6.0)"]
-tests = ["Pillow (>=6.2.1)", "Werkzeug (>=1.0.1)", "absl-py", "aiobotocore", "apache-beam (>=2.26.0)", "bert-score (>=0.3.6)", "boto3", "botocore", "bs4", "conllu", "elasticsearch (<8.0.0)", "fairseq", "faiss-cpu (>=1.6.4)", "fastBPE (==0.1.0)", "fsspec[s3]", "h5py", "importlib-resources", "jiwer", "langdetect", "librosa", "lxml", "mauve-text", "moto[s3,server] (==2.0.4)", "mwparserfromhell", "nltk", "openpyxl", "py7zr", "pytest", "pytest-datadir", "pytest-xdist", "pytorch-lightning", "pytorch-nlp (==0.5.0)", "rarfile (>=4.0)", "requests-file (>=1.5.1)", "rouge-score", "s3fs (==2021.08.1)", "sacrebleu", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "soundfile", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "torch", "torchaudio", "torchmetrics (==0.6.0)", "transformers", "wget (>=3.2)", "zstandard"]
+tests = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.8.0.post1)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tensorflow (>=2.16.0)", "tensorflow (>=2.6.0)", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"]
+tests-numpy2 = ["Pillow (>=9.4.0)", "absl-py", "decorator", "elasticsearch (<8.0.0)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "lz4", "moto[server]", "polars[timezone] (>=0.20.0)", "protobuf (<4.0.0)", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "soxr (>=0.4.0)", "sqlalchemy", "tiktoken", "torch (>=2.0.0)", "torchdata", "transformers (>=4.42.0)", "zstandard"]
 torch = ["torch"]
-vision = ["Pillow (>=6.2.1)"]
+vision = ["Pillow (>=9.4.0)"]
 
 [[package]]
 name = "dill"
@@ -577,13 +579,13 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "executing"
-version = "2.0.1"
+version = "2.1.0"
 description = "Get the currently executing AST node of a frame, and other information"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.8"
 files = [
-    {file = "executing-2.0.1-py2.py3-none-any.whl", hash = "sha256:eac49ca94516ccc753f9fb5ce82603156e590b27525a8bc32cce8ae302eb61bc"},
+    {file = "executing-2.1.0-py2.py3-none-any.whl", hash = "sha256:8d63781349375b5ebccc3142f4b30350c0cd9c79f921cde38be2be4637e98eaf"},
-    {file = "executing-2.0.1.tar.gz", hash = "sha256:35afe2ce3affba8ee97f2d69927fa823b08b472b7b994e36a52a964b93d16147"},
+    {file = "executing-2.1.0.tar.gz", hash = "sha256:8ea27ddd260da8150fa5a708269c4a10e76161e2496ec3e587da9e3c0fe4b9ab"},
 ]
 
 [package.extras]
@@ -591,23 +593,23 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth
 
 [[package]]
 name = "fastapi"
-version = "0.112.1"
+version = "0.115.2"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fastapi-0.112.1-py3-none-any.whl", hash = "sha256:bcbd45817fc2a1cd5da09af66815b84ec0d3d634eb173d1ab468ae3103e183e4"},
+    {file = "fastapi-0.115.2-py3-none-any.whl", hash = "sha256:61704c71286579cc5a598763905928f24ee98bfcc07aabe84cfefb98812bbc86"},
-    {file = "fastapi-0.112.1.tar.gz", hash = "sha256:b2537146f8c23389a7faa8b03d0bd38d4986e6983874557d95eed2acc46448ef"},
+    {file = "fastapi-0.115.2.tar.gz", hash = "sha256:3995739e0b09fa12f984bce8fa9ae197b35d433750d3d312422d846e283697ee"},
 ]
 
 [package.dependencies]
 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"
-starlette = ">=0.37.2,<0.39.0"
+starlette = ">=0.37.2,<0.41.0"
 typing-extensions = ">=4.8.0"
 
 [package.extras]
-all = ["email_validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "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)"]
+all = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "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)"]
-standard = ["email_validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
+standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "httpx (>=0.23.0)", "jinja2 (>=2.11.2)", "python-multipart (>=0.0.7)", "uvicorn[standard] (>=0.12.0)"]
 
 [[package]]
 name = "filelock"
@@ -627,16 +629,15 @@ typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
 name = "fire"
-version = "0.6.0"
+version = "0.7.0"
 description = "A library for automatically generating command line interfaces."
 optional = false
 python-versions = "*"
 files = [
-    {file = "fire-0.6.0.tar.gz", hash = "sha256:54ec5b996ecdd3c0309c800324a0703d6da512241bc73b553db959d98de0aa66"},
+    {file = "fire-0.7.0.tar.gz", hash = "sha256:961550f07936eaf65ad1dc8360f2b2bf8408fad46abbfa4d2a3794f8d2a95cdf"},
 ]
 
 [package.dependencies]
-six = "*"
 termcolor = "*"
 
 [[package]]
@@ -909,13 +910,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.23.5"
+version = "0.25.1"
 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-0.23.5-py3-none-any.whl", hash = "sha256:d7a7d337615e11a45cc14a0ce5a605db6b038dc24af42866f731684825226e90"},
+    {file = "huggingface_hub-0.25.1-py3-none-any.whl", hash = "sha256:a5158ded931b3188f54ea9028097312cb0acd50bffaaa2612014c3c526b44972"},
-    {file = "huggingface_hub-0.23.5.tar.gz", hash = "sha256:67a9caba79b71235be3752852ca27da86bd54311d2424ca8afdb8dda056edf98"},
+    {file = "huggingface_hub-0.25.1.tar.gz", hash = "sha256:9ff7cb327343211fbd06e2b149b8f362fd1e389454f3f14c6db75a4999ee20ff"},
 ]
 
 [package.dependencies]
@@ -928,17 +929,17 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "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", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "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", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "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", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.5.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
 hf-transfer = ["hf-transfer (>=0.1.4)"]
 inference = ["aiohttp", "minijinja (>=1.0)"]
-quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.5.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
 tensorflow-testing = ["keras (<3.0)", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "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", "fastapi", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest (>=8.1.1,<8.2.2)", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-mock", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
-torch = ["safetensors", "torch"]
+torch = ["safetensors[torch]", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
@@ -979,23 +980,23 @@ files = [
 
 [[package]]
 name = "inline-snapshot"
-version = "0.12.1"
+version = "0.13.3"
 description = "golden master/snapshot/approval testing library which puts the values right into your source code"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "inline_snapshot-0.12.1-py3-none-any.whl", hash = "sha256:c73a5c2716e643752cc6bd95f69d93ae6db03be314717b2df22afbd46e21486e"},
+    {file = "inline_snapshot-0.13.3-py3-none-any.whl", hash = "sha256:b1cf31cea026fcc2abaeb4066950e2a94bc387912323e42752819f0972f12179"},
-    {file = "inline_snapshot-0.12.1.tar.gz", hash = "sha256:2c93bb6ca5b32529174b66048a99afe2fcc84a3ab1fb0d07370619d38204c4c8"},
+    {file = "inline_snapshot-0.13.3.tar.gz", hash = "sha256:de85c5dfd31426c51b2820a3acb4569153fb62414a6a9833378b79859b869763"},
 ]
 
 [package.dependencies]
 asttokens = ">=2.0.5"
 black = ">=23.3.0"
 click = ">=8.1.4"
-executing = ">=2.0.0"
+executing = ">=2.1.0"
 rich = ">=13.7.1"
-toml = ">=0.10.2"
+toml = {version = ">=0.10.2", markers = "python_version < \"3.11\""}
-types-toml = ">=0.10.8.7"
+types-toml = {version = ">=0.10.8.7", markers = "python_version < \"3.11\""}
 typing-extensions = "*"
 
 [[package]]
@@ -1149,22 +1150,22 @@ files = [
 
 [[package]]
 name = "langchain-core"
-version = "0.2.33"
+version = "0.3.6"
 description = "Building applications with LLMs through composability"
 optional = false
-python-versions = "<4.0,>=3.8.1"
+python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_core-0.2.33-py3-none-any.whl", hash = "sha256:c8de411336c13fa440b7a52895bfd1c064f04d315344855962988483902cc532"},
+    {file = "langchain_core-0.3.6-py3-none-any.whl", hash = "sha256:7bb3df0117bdc628b18b6c8748de72c6f537d745d47566053ce6650d5712281c"},
-    {file = "langchain_core-0.2.33.tar.gz", hash = "sha256:dd2659e0a560fc987b210107bf989aa14a6f4b67dd214c13a2c9669036cda975"},
+    {file = "langchain_core-0.3.6.tar.gz", hash = "sha256:eb190494a5483f1965f693bb2085edb523370b20fc52dc294d3bd425773cd076"},
 ]
 
 [package.dependencies]
 jsonpatch = ">=1.33,<2.0"
-langsmith = ">=0.1.75,<0.2.0"
+langsmith = ">=0.1.125,<0.2.0"
 packaging = ">=23.2,<25"
 pydantic = [
     {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
-    {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
+    {version = ">=2.5.2,<3.0.0", markers = "python_full_version < \"3.12.4\""},
 ]
 PyYAML = ">=5.3"
 tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
@@ -1172,31 +1173,32 @@ typing-extensions = ">=4.7"
 
 [[package]]
 name = "langchain-groq"
-version = "0.1.9"
+version = "0.2.0"
 description = "An integration package connecting Groq and LangChain"
 optional = false
-python-versions = "<4.0,>=3.8.1"
+python-versions = "<4.0,>=3.9"
 files = [
-    {file = "langchain_groq-0.1.9-py3-none-any.whl", hash = "sha256:632ba94bc05de2217f0dfd37be5892faa49eca6afdfe577926447024a96eef80"},
+    {file = "langchain_groq-0.2.0-py3-none-any.whl", hash = "sha256:23a891f87b6399b988c128cd6656781850a6bd34c91de5e283e713d8fce18d9e"},
-    {file = "langchain_groq-0.1.9.tar.gz", hash = "sha256:0f28a4df00e8d58b024fd83dc338795baf439769d582de5cced48951aa00bbce"},
+    {file = "langchain_groq-0.2.0.tar.gz", hash = "sha256:36932bbdfe19176130acb660a0c7ba8db55f5fdee6b0ee69b53794d5308542ae"},
 ]
 
 [package.dependencies]
 groq = ">=0.4.1,<1"
-langchain-core = ">=0.2.26,<0.3.0"
+langchain-core = ">=0.3,<0.4"
 
 [[package]]
 name = "langsmith"
-version = "0.1.99"
+version = "0.1.129"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langsmith-0.1.99-py3-none-any.whl", hash = "sha256:ef8d1d74a2674c514aa429b0171a9fbb661207dc3835142cca0e8f1bf97b26b0"},
+    {file = "langsmith-0.1.129-py3-none-any.whl", hash = "sha256:31393fbbb17d6be5b99b9b22d530450094fab23c6c37281a6a6efb2143d05347"},
-    {file = "langsmith-0.1.99.tar.gz", hash = "sha256:b5c6a1f158abda61600a4a445081ee848b4a28b758d91f2793dc02aeffafcaf1"},
+    {file = "langsmith-0.1.129.tar.gz", hash = "sha256:6c3ba66471bef41b9f87da247cc0b493268b3f54656f73648a256a205261b6a0"},
 ]
 
 [package.dependencies]
+httpx = ">=0.23.0,<1"
 orjson = ">=3.9.14,<4.0.0"
 pydantic = [
     {version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
@@ -1445,38 +1447,43 @@ dill = ">=0.3.8"
 
 [[package]]
 name = "mypy"
-version = "1.11.1"
+version = "1.12.0"
 description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "mypy-1.11.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a32fc80b63de4b5b3e65f4be82b4cfa362a46702672aa6a0f443b4689af7008c"},
+    {file = "mypy-1.12.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:4397081e620dc4dc18e2f124d5e1d2c288194c2c08df6bdb1db31c38cd1fe1ed"},
-    {file = "mypy-1.11.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c1952f5ea8a5a959b05ed5f16452fddadbaae48b5d39235ab4c3fc444d5fd411"},
+    {file = "mypy-1.12.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:684a9c508a283f324804fea3f0effeb7858eb03f85c4402a967d187f64562469"},
-    {file = "mypy-1.11.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e1e30dc3bfa4e157e53c1d17a0dad20f89dc433393e7702b813c10e200843b03"},
+    {file = "mypy-1.12.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6cabe4cda2fa5eca7ac94854c6c37039324baaa428ecbf4de4567279e9810f9e"},
-    {file = "mypy-1.11.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:2c63350af88f43a66d3dfeeeb8d77af34a4f07d760b9eb3a8697f0386c7590b4"},
+    {file = "mypy-1.12.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:060a07b10e999ac9e7fa249ce2bdcfa9183ca2b70756f3bce9df7a92f78a3c0a"},
-    {file = "mypy-1.11.1-cp310-cp310-win_amd64.whl", hash = "sha256:a831671bad47186603872a3abc19634f3011d7f83b083762c942442d51c58d58"},
+    {file = "mypy-1.12.0-cp310-cp310-win_amd64.whl", hash = "sha256:0eff042d7257f39ba4ca06641d110ca7d2ad98c9c1fb52200fe6b1c865d360ff"},
-    {file = "mypy-1.11.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:7b6343d338390bb946d449677726edf60102a1c96079b4f002dedff375953fc5"},
+    {file = "mypy-1.12.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4b86de37a0da945f6d48cf110d5206c5ed514b1ca2614d7ad652d4bf099c7de7"},
-    {file = "mypy-1.11.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:e4fe9f4e5e521b458d8feb52547f4bade7ef8c93238dfb5bbc790d9ff2d770ca"},
+    {file = "mypy-1.12.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:20c7c5ce0c1be0b0aea628374e6cf68b420bcc772d85c3c974f675b88e3e6e57"},
-    {file = "mypy-1.11.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:886c9dbecc87b9516eff294541bf7f3655722bf22bb898ee06985cd7269898de"},
+    {file = "mypy-1.12.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a64ee25f05fc2d3d8474985c58042b6759100a475f8237da1f4faf7fcd7e6309"},
-    {file = "mypy-1.11.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:fca4a60e1dd9fd0193ae0067eaeeb962f2d79e0d9f0f66223a0682f26ffcc809"},
+    {file = "mypy-1.12.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:faca7ab947c9f457a08dcb8d9a8664fd438080e002b0fa3e41b0535335edcf7f"},
-    {file = "mypy-1.11.1-cp311-cp311-win_amd64.whl", hash = "sha256:0bd53faf56de9643336aeea1c925012837432b5faf1701ccca7fde70166ccf72"},
+    {file = "mypy-1.12.0-cp311-cp311-win_amd64.whl", hash = "sha256:5bc81701d52cc8767005fdd2a08c19980de9ec61a25dbd2a937dfb1338a826f9"},
-    {file = "mypy-1.11.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f39918a50f74dc5969807dcfaecafa804fa7f90c9d60506835036cc1bc891dc8"},
+    {file = "mypy-1.12.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:8462655b6694feb1c99e433ea905d46c478041a8b8f0c33f1dab00ae881b2164"},
-    {file = "mypy-1.11.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:0bc71d1fb27a428139dd78621953effe0d208aed9857cb08d002280b0422003a"},
+    {file = "mypy-1.12.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:923ea66d282d8af9e0f9c21ffc6653643abb95b658c3a8a32dca1eff09c06475"},
-    {file = "mypy-1.11.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b868d3bcff720dd7217c383474008ddabaf048fad8d78ed948bb4b624870a417"},
+    {file = "mypy-1.12.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1ebf9e796521f99d61864ed89d1fb2926d9ab6a5fab421e457cd9c7e4dd65aa9"},
-    {file = "mypy-1.11.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:a707ec1527ffcdd1c784d0924bf5cb15cd7f22683b919668a04d2b9c34549d2e"},
+    {file = "mypy-1.12.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:e478601cc3e3fa9d6734d255a59c7a2e5c2934da4378f3dd1e3411ea8a248642"},
-    {file = "mypy-1.11.1-cp312-cp312-win_amd64.whl", hash = "sha256:64f4a90e3ea07f590c5bcf9029035cf0efeae5ba8be511a8caada1a4893f5525"},
+    {file = "mypy-1.12.0-cp312-cp312-win_amd64.whl", hash = "sha256:c72861b7139a4f738344faa0e150834467521a3fba42dc98264e5aa9507dd601"},
-    {file = "mypy-1.11.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:749fd3213916f1751fff995fccf20c6195cae941dc968f3aaadf9bb4e430e5a2"},
+    {file = "mypy-1.12.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:52b9e1492e47e1790360a43755fa04101a7ac72287b1a53ce817f35899ba0521"},
-    {file = "mypy-1.11.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b639dce63a0b19085213ec5fdd8cffd1d81988f47a2dec7100e93564f3e8fb3b"},
+    {file = "mypy-1.12.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:48d3e37dd7d9403e38fa86c46191de72705166d40b8c9f91a3de77350daa0893"},
-    {file = "mypy-1.11.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4c956b49c5d865394d62941b109728c5c596a415e9c5b2be663dd26a1ff07bc0"},
+    {file = "mypy-1.12.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2f106db5ccb60681b622ac768455743ee0e6a857724d648c9629a9bd2ac3f721"},
-    {file = "mypy-1.11.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:45df906e8b6804ef4b666af29a87ad9f5921aad091c79cc38e12198e220beabd"},
+    {file = "mypy-1.12.0-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:233e11b3f73ee1f10efada2e6da0f555b2f3a5316e9d8a4a1224acc10e7181d3"},
-    {file = "mypy-1.11.1-cp38-cp38-win_amd64.whl", hash = "sha256:d44be7551689d9d47b7abc27c71257adfdb53f03880841a5db15ddb22dc63edb"},
+    {file = "mypy-1.12.0-cp313-cp313-win_amd64.whl", hash = "sha256:4ae8959c21abcf9d73aa6c74a313c45c0b5a188752bf37dace564e29f06e9c1b"},
-    {file = "mypy-1.11.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:2684d3f693073ab89d76da8e3921883019ea8a3ec20fa5d8ecca6a2db4c54bbe"},
+    {file = "mypy-1.12.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:eafc1b7319b40ddabdc3db8d7d48e76cfc65bbeeafaa525a4e0fa6b76175467f"},
-    {file = "mypy-1.11.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:79c07eb282cb457473add5052b63925e5cc97dfab9812ee65a7c7ab5e3cb551c"},
+    {file = "mypy-1.12.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:9b9ce1ad8daeb049c0b55fdb753d7414260bad8952645367e70ac91aec90e07e"},
-    {file = "mypy-1.11.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:11965c2f571ded6239977b14deebd3f4c3abd9a92398712d6da3a772974fad69"},
+    {file = "mypy-1.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:bfe012b50e1491d439172c43ccb50db66d23fab714d500b57ed52526a1020bb7"},
-    {file = "mypy-1.11.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a2b43895a0f8154df6519706d9bca8280cda52d3d9d1514b2d9c3e26792a0b74"},
+    {file = "mypy-1.12.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:2c40658d4fa1ab27cb53d9e2f1066345596af2f8fe4827defc398a09c7c9519b"},
-    {file = "mypy-1.11.1-cp39-cp39-win_amd64.whl", hash = "sha256:1a81cf05975fd61aec5ae16501a091cfb9f605dc3e3c878c0da32f250b74760b"},
+    {file = "mypy-1.12.0-cp38-cp38-win_amd64.whl", hash = "sha256:dee78a8b9746c30c1e617ccb1307b351ded57f0de0d287ca6276378d770006c0"},
-    {file = "mypy-1.11.1-py3-none-any.whl", hash = "sha256:0624bdb940255d2dd24e829d99a13cfeb72e4e9031f9492148f410ed30bcab54"},
+    {file = "mypy-1.12.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6b5df6c8a8224f6b86746bda716bbe4dbe0ce89fd67b1fa4661e11bfe38e8ec8"},
-    {file = "mypy-1.11.1.tar.gz", hash = "sha256:f404a0b069709f18bbdb702eb3dcfe51910602995de00bd39cea3050b5772d08"},
+    {file = "mypy-1.12.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5feee5c74eb9749e91b77f60b30771563327329e29218d95bedbe1257e2fe4b0"},
+    {file = "mypy-1.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:77278e8c6ffe2abfba6db4125de55f1024de9a323be13d20e4f73b8ed3402bd1"},
+    {file = "mypy-1.12.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:dcfb754dea911039ac12434d1950d69a2f05acd4d56f7935ed402be09fad145e"},
+    {file = "mypy-1.12.0-cp39-cp39-win_amd64.whl", hash = "sha256:06de0498798527451ffb60f68db0d368bd2bae2bbfb5237eae616d4330cc87aa"},
+    {file = "mypy-1.12.0-py3-none-any.whl", hash = "sha256:fd313226af375d52e1e36c383f39bf3836e1f192801116b31b090dfcd3ec5266"},
+    {file = "mypy-1.12.0.tar.gz", hash = "sha256:65a22d87e757ccd95cbbf6f7e181e6caa87128255eb2b6be901bb71b26d8a99d"},
 ]
 
 [package.dependencies]
@@ -1857,13 +1864,13 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "pre-commit"
-version = "3.8.0"
+version = "4.0.1"
 description = "A framework for managing and maintaining multi-language pre-commit hooks."
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "pre_commit-3.8.0-py2.py3-none-any.whl", hash = "sha256:9a90a53bf82fdd8778d58085faf8d83df56e40dfe18f45b19446e26bf1b3a63f"},
+    {file = "pre_commit-4.0.1-py2.py3-none-any.whl", hash = "sha256:efde913840816312445dc98787724647c65473daefe420785f885e8ed9a06878"},
-    {file = "pre_commit-3.8.0.tar.gz", hash = "sha256:8bb6494d4a20423842e198980c9ecf9f96607a07ea29549e180eef9ae80fe7af"},
+    {file = "pre_commit-4.0.1.tar.gz", hash = "sha256:80905ac375958c0444c65e9cebebd948b3cdb518f335a091a670a89d652139d2"},
 ]
 
 [package.dependencies]
@@ -1943,18 +1950,18 @@ test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"]
 
 [[package]]
 name = "pydantic"
-version = "2.8.2"
+version = "2.9.2"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pydantic-2.8.2-py3-none-any.whl", hash = "sha256:73ee9fddd406dc318b885c7a2eab8a6472b68b8fb5ba8150949fc3db939f23c8"},
+    {file = "pydantic-2.9.2-py3-none-any.whl", hash = "sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12"},
-    {file = "pydantic-2.8.2.tar.gz", hash = "sha256:6f62c13d067b0755ad1c21a34bdd06c0c12625a22b0fc09c6b149816604f7c2a"},
+    {file = "pydantic-2.9.2.tar.gz", hash = "sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f"},
 ]
 
 [package.dependencies]
-annotated-types = ">=0.4.0"
+annotated-types = ">=0.6.0"
-pydantic-core = "2.20.1"
+pydantic-core = "2.23.4"
 typing-extensions = [
     {version = ">=4.12.2", markers = "python_version >= \"3.13\""},
     {version = ">=4.6.1", markers = "python_version < \"3.13\""},
@@ -1962,103 +1969,104 @@ typing-extensions = [
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
+timezone = ["tzdata"]
 
 [[package]]
 name = "pydantic-core"
-version = "2.20.1"
+version = "2.23.4"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pydantic_core-2.20.1-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:3acae97ffd19bf091c72df4d726d552c473f3576409b2a7ca36b2f535ffff4a3"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b"},
-    {file = "pydantic_core-2.20.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:41f4c96227a67a013e7de5ff8f20fb496ce573893b7f4f2707d065907bffdbd6"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166"},
-    {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5f239eb799a2081495ea659d8d4a43a8f42cd1fe9ff2e7e436295c38a10c286a"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:63e46b3169866bd62849936de036f901a9356e36376079b05efa83caeaa02ceb"},
-    {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:53e431da3fc53360db73eedf6f7124d1076e1b4ee4276b36fb25514544ceb4a3"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ed1a53de42fbe34853ba90513cea21673481cd81ed1be739f7f2efb931b24916"},
-    {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:f1f62b2413c3a0e846c3b838b2ecd6c7a19ec6793b2a522745b0869e37ab5bc1"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cfdd16ab5e59fc31b5e906d1a3f666571abc367598e3e02c83403acabc092e07"},
-    {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5d41e6daee2813ecceea8eda38062d69e280b39df793f5a942fa515b8ed67953"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232"},
-    {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d482efec8b7dc6bfaedc0f166b2ce349df0011f5d2f1f25537ced4cfc34fd98"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4a7cd62e831afe623fbb7aabbb4fe583212115b3ef38a9f6b71869ba644624a2"},
-    {file = "pydantic_core-2.20.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:e93e1a4b4b33daed65d781a57a522ff153dcf748dee70b40c7258c5861e1768a"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f09e2ff1f17c2b51f2bc76d1cc33da96298f0a036a137f5440ab3ec5360b624f"},
-    {file = "pydantic_core-2.20.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e7c4ea22b6739b162c9ecaaa41d718dfad48a244909fe7ef4b54c0b530effc5a"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:e38e63e6f3d1cec5a27e0afe90a085af8b6806ee208b33030e65b6516353f1a3"},
-    {file = "pydantic_core-2.20.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4f2790949cf385d985a31984907fecb3896999329103df4e4983a4a41e13e840"},
+    {file = "pydantic_core-2.23.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0dbd8dbed2085ed23b5c04afa29d8fd2771674223135dc9bc937f3c09284d071"},
-    {file = "pydantic_core-2.20.1-cp310-none-win32.whl", hash = "sha256:5e999ba8dd90e93d57410c5e67ebb67ffcaadcea0ad973240fdfd3a135506250"},
+    {file = "pydantic_core-2.23.4-cp310-none-win32.whl", hash = "sha256:6531b7ca5f951d663c339002e91aaebda765ec7d61b7d1e3991051906ddde119"},
-    {file = "pydantic_core-2.20.1-cp310-none-win_amd64.whl", hash = "sha256:512ecfbefef6dac7bc5eaaf46177b2de58cdf7acac8793fe033b24ece0b9566c"},
+    {file = "pydantic_core-2.23.4-cp310-none-win_amd64.whl", hash = "sha256:7c9129eb40958b3d4500fa2467e6a83356b3b61bfff1b414c7361d9220f9ae8f"},
-    {file = "pydantic_core-2.20.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:d2a8fa9d6d6f891f3deec72f5cc668e6f66b188ab14bb1ab52422fe8e644f312"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:77733e3892bb0a7fa797826361ce8a9184d25c8dffaec60b7ffe928153680ba8"},
-    {file = "pydantic_core-2.20.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:175873691124f3d0da55aeea1d90660a6ea7a3cfea137c38afa0a5ffabe37b88"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1b84d168f6c48fabd1f2027a3d1bdfe62f92cade1fb273a5d68e621da0e44e6d"},
-    {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37eee5b638f0e0dcd18d21f59b679686bbd18917b87db0193ae36f9c23c355fc"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:df49e7a0861a8c36d089c1ed57d308623d60416dab2647a4a17fe050ba85de0e"},
-    {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:25e9185e2d06c16ee438ed39bf62935ec436474a6ac4f9358524220f1b236e43"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ff02b6d461a6de369f07ec15e465a88895f3223eb75073ffea56b84d9331f607"},
-    {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:150906b40ff188a3260cbee25380e7494ee85048584998c1e66df0c7a11c17a6"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:996a38a83508c54c78a5f41456b0103c30508fed9abcad0a59b876d7398f25fd"},
-    {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:8ad4aeb3e9a97286573c03df758fc7627aecdd02f1da04516a86dc159bf70121"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d97683ddee4723ae8c95d1eddac7c192e8c552da0c73a925a89fa8649bf13eea"},
-    {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d3f3ed29cd9f978c604708511a1f9c2fdcb6c38b9aae36a51905b8811ee5cbf1"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:216f9b2d7713eb98cb83c80b9c794de1f6b7e3145eef40400c62e86cee5f4e1e"},
-    {file = "pydantic_core-2.20.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b0dae11d8f5ded51699c74d9548dcc5938e0804cc8298ec0aa0da95c21fff57b"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:6f783e0ec4803c787bcea93e13e9932edab72068f68ecffdf86a99fd5918878b"},
-    {file = "pydantic_core-2.20.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:faa6b09ee09433b87992fb5a2859efd1c264ddc37280d2dd5db502126d0e7f27"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:d0776dea117cf5272382634bd2a5c1b6eb16767c223c6a5317cd3e2a757c61a0"},
-    {file = "pydantic_core-2.20.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:9dc1b507c12eb0481d071f3c1808f0529ad41dc415d0ca11f7ebfc666e66a18b"},
+    {file = "pydantic_core-2.23.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d5f7a395a8cf1621939692dba2a6b6a830efa6b3cee787d82c7de1ad2930de64"},
-    {file = "pydantic_core-2.20.1-cp311-none-win32.whl", hash = "sha256:fa2fddcb7107e0d1808086ca306dcade7df60a13a6c347a7acf1ec139aa6789a"},
+    {file = "pydantic_core-2.23.4-cp311-none-win32.whl", hash = "sha256:74b9127ffea03643e998e0c5ad9bd3811d3dac8c676e47db17b0ee7c3c3bf35f"},
-    {file = "pydantic_core-2.20.1-cp311-none-win_amd64.whl", hash = "sha256:40a783fb7ee353c50bd3853e626f15677ea527ae556429453685ae32280c19c2"},
+    {file = "pydantic_core-2.23.4-cp311-none-win_amd64.whl", hash = "sha256:98d134c954828488b153d88ba1f34e14259284f256180ce659e8d83e9c05eaa3"},
-    {file = "pydantic_core-2.20.1-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:595ba5be69b35777474fa07f80fc260ea71255656191adb22a8c53aba4479231"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-macosx_10_12_x86_64.whl", hash = "sha256:f3e0da4ebaef65158d4dfd7d3678aad692f7666877df0002b8a522cdf088f231"},
-    {file = "pydantic_core-2.20.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:a4f55095ad087474999ee28d3398bae183a66be4823f753cd7d67dd0153427c9"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f69a8e0b033b747bb3e36a44e7732f0c99f7edd5cea723d45bc0d6e95377ffee"},
-    {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f9aa05d09ecf4c75157197f27cdc9cfaeb7c5f15021c6373932bf3e124af029f"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:723314c1d51722ab28bfcd5240d858512ffd3116449c557a1336cbe3919beb87"},
-    {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:e97fdf088d4b31ff4ba35db26d9cc472ac7ef4a2ff2badeabf8d727b3377fc52"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bb2802e667b7051a1bebbfe93684841cc9351004e2badbd6411bf357ab8d5ac8"},
-    {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:bc633a9fe1eb87e250b5c57d389cf28998e4292336926b0b6cdaee353f89a237"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d18ca8148bebe1b0a382a27a8ee60350091a6ddaf475fa05ef50dc35b5df6327"},
-    {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:d573faf8eb7e6b1cbbcb4f5b247c60ca8be39fe2c674495df0eb4318303137fe"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:33e3d65a85a2a4a0dc3b092b938a4062b1a05f3a9abde65ea93b233bca0e03f2"},
-    {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:26dc97754b57d2fd00ac2b24dfa341abffc380b823211994c4efac7f13b9e90e"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:128585782e5bfa515c590ccee4b727fb76925dd04a98864182b22e89a4e6ed36"},
-    {file = "pydantic_core-2.20.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:33499e85e739a4b60c9dac710c20a08dc73cb3240c9a0e22325e671b27b70d24"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:68665f4c17edcceecc112dfed5dbe6f92261fb9d6054b47d01bf6371a6196126"},
-    {file = "pydantic_core-2.20.1-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:bebb4d6715c814597f85297c332297c6ce81e29436125ca59d1159b07f423eb1"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:20152074317d9bed6b7a95ade3b7d6054845d70584216160860425f4fbd5ee9e"},
-    {file = "pydantic_core-2.20.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:516d9227919612425c8ef1c9b869bbbee249bc91912c8aaffb66116c0b447ebd"},
+    {file = "pydantic_core-2.23.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:9261d3ce84fa1d38ed649c3638feefeae23d32ba9182963e465d58d62203bd24"},
-    {file = "pydantic_core-2.20.1-cp312-none-win32.whl", hash = "sha256:469f29f9093c9d834432034d33f5fe45699e664f12a13bf38c04967ce233d688"},
+    {file = "pydantic_core-2.23.4-cp312-none-win32.whl", hash = "sha256:4ba762ed58e8d68657fc1281e9bb72e1c3e79cc5d464be146e260c541ec12d84"},
-    {file = "pydantic_core-2.20.1-cp312-none-win_amd64.whl", hash = "sha256:035ede2e16da7281041f0e626459bcae33ed998cca6a0a007a5ebb73414ac72d"},
+    {file = "pydantic_core-2.23.4-cp312-none-win_amd64.whl", hash = "sha256:97df63000f4fea395b2824da80e169731088656d1818a11b95f3b173747b6cd9"},
-    {file = "pydantic_core-2.20.1-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:0827505a5c87e8aa285dc31e9ec7f4a17c81a813d45f70b1d9164e03a813a686"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-macosx_10_12_x86_64.whl", hash = "sha256:7530e201d10d7d14abce4fb54cfe5b94a0aefc87da539d0346a484ead376c3cc"},
-    {file = "pydantic_core-2.20.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:19c0fa39fa154e7e0b7f82f88ef85faa2a4c23cc65aae2f5aea625e3c13c735a"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:df933278128ea1cd77772673c73954e53a1c95a4fdf41eef97c2b779271bd0bd"},
-    {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4aa223cd1e36b642092c326d694d8bf59b71ddddc94cdb752bbbb1c5c91d833b"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0cb3da3fd1b6a5d0279a01877713dbda118a2a4fc6f0d821a57da2e464793f05"},
-    {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:c336a6d235522a62fef872c6295a42ecb0c4e1d0f1a3e500fe949415761b8a19"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:42c6dcb030aefb668a2b7009c85b27f90e51e6a3b4d5c9bc4c57631292015b0d"},
-    {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7eb6a0587eded33aeefea9f916899d42b1799b7b14b8f8ff2753c0ac1741edac"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:696dd8d674d6ce621ab9d45b205df149399e4bb9aa34102c970b721554828510"},
-    {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:70c8daf4faca8da5a6d655f9af86faf6ec2e1768f4b8b9d0226c02f3d6209703"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2971bb5ffe72cc0f555c13e19b23c85b654dd2a8f7ab493c262071377bfce9f6"},
-    {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e9fa4c9bf273ca41f940bceb86922a7667cd5bf90e95dbb157cbb8441008482c"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8394d940e5d400d04cad4f75c0598665cbb81aecefaca82ca85bd28264af7f9b"},
-    {file = "pydantic_core-2.20.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:11b71d67b4725e7e2a9f6e9c0ac1239bbc0c48cce3dc59f98635efc57d6dac83"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:0dff76e0602ca7d4cdaacc1ac4c005e0ce0dcfe095d5b5259163a80d3a10d327"},
-    {file = "pydantic_core-2.20.1-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:270755f15174fb983890c49881e93f8f1b80f0b5e3a3cc1394a255706cabd203"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-musllinux_1_1_aarch64.whl", hash = "sha256:7d32706badfe136888bdea71c0def994644e09fff0bfe47441deaed8e96fdbc6"},
-    {file = "pydantic_core-2.20.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:c81131869240e3e568916ef4c307f8b99583efaa60a8112ef27a366eefba8ef0"},
+    {file = "pydantic_core-2.23.4-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:ed541d70698978a20eb63d8c5d72f2cc6d7079d9d90f6b50bad07826f1320f5f"},
-    {file = "pydantic_core-2.20.1-cp313-none-win32.whl", hash = "sha256:b91ced227c41aa29c672814f50dbb05ec93536abf8f43cd14ec9521ea09afe4e"},
+    {file = "pydantic_core-2.23.4-cp313-none-win32.whl", hash = "sha256:3d5639516376dce1940ea36edf408c554475369f5da2abd45d44621cb616f769"},
-    {file = "pydantic_core-2.20.1-cp313-none-win_amd64.whl", hash = "sha256:65db0f2eefcaad1a3950f498aabb4875c8890438bc80b19362cf633b87a8ab20"},
+    {file = "pydantic_core-2.23.4-cp313-none-win_amd64.whl", hash = "sha256:5a1504ad17ba4210df3a045132a7baeeba5a200e930f57512ee02909fc5c4cb5"},
-    {file = "pydantic_core-2.20.1-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:4745f4ac52cc6686390c40eaa01d48b18997cb130833154801a442323cc78f91"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-macosx_10_12_x86_64.whl", hash = "sha256:d4488a93b071c04dc20f5cecc3631fc78b9789dd72483ba15d423b5b3689b555"},
-    {file = "pydantic_core-2.20.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:a8ad4c766d3f33ba8fd692f9aa297c9058970530a32c728a2c4bfd2616d3358b"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:81965a16b675b35e1d09dd14df53f190f9129c0202356ed44ab2728b1c905658"},
-    {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:41e81317dd6a0127cabce83c0c9c3fbecceae981c8391e6f1dec88a77c8a569a"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4ffa2ebd4c8530079140dd2d7f794a9d9a73cbb8e9d59ffe24c63436efa8f271"},
-    {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:04024d270cf63f586ad41fff13fde4311c4fc13ea74676962c876d9577bcc78f"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:61817945f2fe7d166e75fbfb28004034b48e44878177fc54d81688e7b85a3665"},
-    {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:eaad4ff2de1c3823fddf82f41121bdf453d922e9a238642b1dedb33c4e4f98ad"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:29d2c342c4bc01b88402d60189f3df065fb0dda3654744d5a165a5288a657368"},
-    {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:26ab812fa0c845df815e506be30337e2df27e88399b985d0bb4e3ecfe72df31c"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5e11661ce0fd30a6790e8bcdf263b9ec5988e95e63cf901972107efc49218b13"},
-    {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c5ebac750d9d5f2706654c638c041635c385596caf68f81342011ddfa1e5598"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d18368b137c6295db49ce7218b1a9ba15c5bc254c96d7c9f9e924a9bc7825ad"},
-    {file = "pydantic_core-2.20.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2aafc5a503855ea5885559eae883978c9b6d8c8993d67766ee73d82e841300dd"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ec4e55f79b1c4ffb2eecd8a0cfba9955a2588497d96851f4c8f99aa4a1d39b12"},
-    {file = "pydantic_core-2.20.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:4868f6bd7c9d98904b748a2653031fc9c2f85b6237009d475b1008bfaeb0a5aa"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:374a5e5049eda9e0a44c696c7ade3ff355f06b1fe0bb945ea3cac2bc336478a2"},
-    {file = "pydantic_core-2.20.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:aa2f457b4af386254372dfa78a2eda2563680d982422641a85f271c859df1987"},
+    {file = "pydantic_core-2.23.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:5c364564d17da23db1106787675fc7af45f2f7b58b4173bfdd105564e132e6fb"},
-    {file = "pydantic_core-2.20.1-cp38-none-win32.whl", hash = "sha256:225b67a1f6d602de0ce7f6c1c3ae89a4aa25d3de9be857999e9124f15dab486a"},
+    {file = "pydantic_core-2.23.4-cp38-none-win32.whl", hash = "sha256:d7a80d21d613eec45e3d41eb22f8f94ddc758a6c4720842dc74c0581f54993d6"},
-    {file = "pydantic_core-2.20.1-cp38-none-win_amd64.whl", hash = "sha256:6b507132dcfc0dea440cce23ee2182c0ce7aba7054576efc65634f080dbe9434"},
+    {file = "pydantic_core-2.23.4-cp38-none-win_amd64.whl", hash = "sha256:5f5ff8d839f4566a474a969508fe1c5e59c31c80d9e140566f9a37bba7b8d556"},
-    {file = "pydantic_core-2.20.1-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:b03f7941783b4c4a26051846dea594628b38f6940a2fdc0df00b221aed39314c"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:a4fa4fc04dff799089689f4fd502ce7d59de529fc2f40a2c8836886c03e0175a"},
-    {file = "pydantic_core-2.20.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1eedfeb6089ed3fad42e81a67755846ad4dcc14d73698c120a82e4ccf0f1f9f6"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:0a7df63886be5e270da67e0966cf4afbae86069501d35c8c1b3b6c168f42cb36"},
-    {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:635fee4e041ab9c479e31edda27fcf966ea9614fff1317e280d99eb3e5ab6fe2"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dcedcd19a557e182628afa1d553c3895a9f825b936415d0dbd3cd0bbcfd29b4b"},
-    {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:77bf3ac639c1ff567ae3b47f8d4cc3dc20f9966a2a6dd2311dcc055d3d04fb8a"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5f54b118ce5de9ac21c363d9b3caa6c800341e8c47a508787e5868c6b79c9323"},
-    {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:7ed1b0132f24beeec5a78b67d9388656d03e6a7c837394f99257e2d55b461611"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:86d2f57d3e1379a9525c5ab067b27dbb8a0642fb5d454e17a9ac434f9ce523e3"},
-    {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:c6514f963b023aeee506678a1cf821fe31159b925c4b76fe2afa94cc70b3222b"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:de6d1d1b9e5101508cb37ab0d972357cac5235f5c6533d1071964c47139257df"},
-    {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:10d4204d8ca33146e761c79f83cc861df20e7ae9f6487ca290a97702daf56006"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c"},
-    {file = "pydantic_core-2.20.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2d036c7187b9422ae5b262badb87a20a49eb6c5238b2004e96d4da1231badef1"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9a6b5099eeec78827553827f4c6b8615978bb4b6a88e5d9b93eddf8bb6790f55"},
-    {file = "pydantic_core-2.20.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9ebfef07dbe1d93efb94b4700f2d278494e9162565a54f124c404a5656d7ff09"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:e55541f756f9b3ee346b840103f32779c695a19826a4c442b7954550a0972040"},
-    {file = "pydantic_core-2.20.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6b9d9bb600328a1ce523ab4f454859e9d439150abb0906c5a1983c146580ebab"},
+    {file = "pydantic_core-2.23.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a5c7ba8ffb6d6f8f2ab08743be203654bb1aaa8c9dcb09f82ddd34eadb695605"},
-    {file = "pydantic_core-2.20.1-cp39-none-win32.whl", hash = "sha256:784c1214cb6dd1e3b15dd8b91b9a53852aed16671cc3fbe4786f4f1db07089e2"},
+    {file = "pydantic_core-2.23.4-cp39-none-win32.whl", hash = "sha256:37b0fe330e4a58d3c58b24d91d1eb102aeec675a3db4c292ec3928ecd892a9a6"},
-    {file = "pydantic_core-2.20.1-cp39-none-win_amd64.whl", hash = "sha256:d2fe69c5434391727efa54b47a1e7986bb0186e72a41b203df8f5b0a19a4f669"},
+    {file = "pydantic_core-2.23.4-cp39-none-win_amd64.whl", hash = "sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29"},
-    {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:a45f84b09ac9c3d35dfcf6a27fd0634d30d183205230a0ebe8373a0e8cfa0906"},
+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:f455ee30a9d61d3e1a15abd5068827773d6e4dc513e795f380cdd59932c782d5"},
-    {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d02a72df14dfdbaf228424573a07af10637bd490f0901cee872c4f434a735b94"},
+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec"},
-    {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d2b27e6af28f07e2f195552b37d7d66b150adbaa39a6d327766ffd695799780f"},
+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e203fdf807ac7e12ab59ca2bfcabb38c7cf0b33c41efeb00f8e5da1d86af480"},
-    {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:084659fac3c83fd674596612aeff6041a18402f1e1bc19ca39e417d554468482"},
+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e08277a400de01bc72436a0ccd02bdf596631411f592ad985dcee21445bd0068"},
-    {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:242b8feb3c493ab78be289c034a1f659e8826e2233786e36f2893a950a719bb6"},
+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f220b0eea5965dec25480b6333c788fb72ce5f9129e8759ef876a1d805d00801"},
-    {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:38cf1c40a921d05c5edc61a785c0ddb4bed67827069f535d794ce6bcded919fc"},
+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:d06b0c8da4f16d1d1e352134427cb194a0a6e19ad5db9161bf32b2113409e728"},
-    {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e0bbdd76ce9aa5d4209d65f2b27fc6e5ef1312ae6c5333c26db3f5ade53a1e99"},
+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:ba1a0996f6c2773bd83e63f18914c1de3c9dd26d55f4ac302a7efe93fb8e7433"},
-    {file = "pydantic_core-2.20.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:254ec27fdb5b1ee60684f91683be95e5133c994cc54e86a0b0963afa25c8f8a6"},
+    {file = "pydantic_core-2.23.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:9a5bce9d23aac8f0cf0836ecfc033896aa8443b501c58d0602dbfd5bd5b37753"},
-    {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:407653af5617f0757261ae249d3fba09504d7a71ab36ac057c938572d1bc9331"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:78ddaaa81421a29574a682b3179d4cf9e6d405a09b99d93ddcf7e5239c742e21"},
-    {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:c693e916709c2465b02ca0ad7b387c4f8423d1db7b4649c551f27a529181c5ad"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:883a91b5dd7d26492ff2f04f40fbb652de40fcc0afe07e8129e8ae779c2110eb"},
-    {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5b5ff4911aea936a47d9376fd3ab17e970cc543d1b68921886e7f64bd28308d1"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88ad334a15b32a791ea935af224b9de1bf99bcd62fabf745d5f3442199d86d59"},
-    {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:177f55a886d74f1808763976ac4efd29b7ed15c69f4d838bbd74d9d09cf6fa86"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577"},
-    {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:964faa8a861d2664f0c7ab0c181af0bea66098b1919439815ca8803ef136fc4e"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744"},
-    {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:4dd484681c15e6b9a977c785a345d3e378d72678fd5f1f3c0509608da24f2ac0"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:624e278a7d29b6445e4e813af92af37820fafb6dcc55c012c834f9e26f9aaaef"},
-    {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f6d6cff3538391e8486a431569b77921adfcdef14eb18fbf19b7c0a5294d4e6a"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f5ef8f42bec47f21d07668a043f077d507e5bf4e668d5c6dfe6aaba89de1a5b8"},
-    {file = "pydantic_core-2.20.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:a6d511cc297ff0883bc3708b465ff82d7560193169a8b93260f74ecb0a5e08a7"},
+    {file = "pydantic_core-2.23.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:aea443fffa9fbe3af1a9ba721a87f926fe548d32cab71d188a6ede77d0ff244e"},
-    {file = "pydantic_core-2.20.1.tar.gz", hash = "sha256:26ca695eeee5f9f1aeeb211ffc12f10bcb6f71e2989988fda61dabd65db878d4"},
+    {file = "pydantic_core-2.23.4.tar.gz", hash = "sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863"},
 ]
 
 [package.dependencies]
@@ -2094,13 +2102,13 @@ diagrams = ["jinja2", "railroad-diagrams"]
 
 [[package]]
 name = "pytest"
-version = "8.3.2"
+version = "8.3.3"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pytest-8.3.2-py3-none-any.whl", hash = "sha256:4ba08f9ae7dcf84ded419494d229b48d0903ea6407b030eaec46df5e6a73bba5"},
+    {file = "pytest-8.3.3-py3-none-any.whl", hash = "sha256:a6853c7375b2663155079443d2e45de913a911a11d669df02a50814944db57b2"},
-    {file = "pytest-8.3.2.tar.gz", hash = "sha256:c132345d12ce551242c87269de812483f5bcc87cdbb4722e48487ba194f9fdce"},
+    {file = "pytest-8.3.3.tar.gz", hash = "sha256:70b98107bd648308a7952b06e6ca9a50bc660be218d53c257cc1fc94fda10181"},
 ]
 
 [package.dependencies]
@@ -2222,24 +2230,6 @@ urllib3 = ">=1.21.1,<3"
 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
-[[package]]
-name = "responses"
-version = "0.18.0"
-description = "A utility library for mocking out the `requests` Python library."
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "responses-0.18.0-py3-none-any.whl", hash = "sha256:15c63ad16de13ee8e7182d99c9334f64fd81f1ee79f90748d527c28f7ca9dd51"},
-    {file = "responses-0.18.0.tar.gz", hash = "sha256:380cad4c1c1dc942e5e8a8eaae0b4d4edf708f4f010db8b7bcfafad1fcd254ff"},
-]
-
-[package.dependencies]
-requests = ">=2.0,<3.0"
-urllib3 = ">=1.25.10"
-
-[package.extras]
-tests = ["coverage (>=6.0.0)", "flake8", "mypy", "pytest (>=4.6)", "pytest-cov", "pytest-localserver", "types-mock", "types-requests"]
-
 [[package]]
 name = "rich"
 version = "13.7.1"
@@ -2305,23 +2295,26 @@ tests = ["black (>=24.3.0)", "matplotlib (>=3.3.4)", "mypy (>=1.9)", "numpydoc (
 
 [[package]]
 name = "scikit-optimize"
-version = "0.9.0"
+version = "0.10.2"
 description = "Sequential model-based optimization toolbox."
 optional = false
 python-versions = "*"
 files = [
-    {file = "scikit-optimize-0.9.0.tar.gz", hash = "sha256:77d8c9e64947fc9f5cc05bbc6aed7b8a9907871ae26fe11997fd67be90f26008"},
+    {file = "scikit_optimize-0.10.2-py2.py3-none-any.whl", hash = "sha256:45bc7e879b086133984721f2f6735a86c085073f6c481c2ec665b5c67b44d723"},
-    {file = "scikit_optimize-0.9.0-py2.py3-none-any.whl", hash = "sha256:5a439a18232381fad4bda78e914b616416720708e67f123498d14bd2842d861a"},
+    {file = "scikit_optimize-0.10.2.tar.gz", hash = "sha256:00a3d91bf9015e292b6e7aaefe7e6cb95e8d25ce19adafd2cd88849e1a0b0da0"},
 ]
 
 [package.dependencies]
 joblib = ">=0.11"
-numpy = ">=1.13.3"
+numpy = ">=1.20.3"
+packaging = ">=21.3"
 pyaml = ">=16.9"
-scikit-learn = ">=0.20.0"
+scikit-learn = ">=1.0.0"
-scipy = ">=0.19.1"
+scipy = ">=1.1.0"
 
 [package.extras]
+dev = ["flake8", "pandas", "pytest", "pytest-cov", "pytest-xdist"]
+doc = ["memory-profiler", "numpydoc", "pydata-sphinx-theme", "sphinx", "sphinx-gallery (>=0.6)"]
 plots = ["matplotlib (>=2.0.0)"]
 
 [[package]]
@@ -2561,13 +2554,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "uvicorn"
-version = "0.30.6"
+version = "0.32.0"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "uvicorn-0.30.6-py3-none-any.whl", hash = "sha256:65fd46fe3fda5bdc1b03b94eb634923ff18cd35b2f084813ea79d1f103f711b5"},
+    {file = "uvicorn-0.32.0-py3-none-any.whl", hash = "sha256:60b8f3a5ac027dcd31448f411ced12b5ef452c646f76f02f8cc3f25d8d26fd82"},
-    {file = "uvicorn-0.30.6.tar.gz", hash = "sha256:4b15decdda1e72be08209e860a1e10e92439ad5b97cf44cc945fcbee66fc5788"},
+    {file = "uvicorn-0.32.0.tar.gz", hash = "sha256:f78b36b143c16f54ccdb8190d0a26b5f1901fe5a3c777e1ab29f26391af8551e"},
 ]
 
 [package.dependencies]
@@ -2835,4 +2828,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "814da9c38526493336e99b023168ac5ec3bf08154c0d5c3739f165b2476c8647"
+content-hash = "51cc6ffecdd23e210c3da45364310655930397ca8855caa8ec4c5b91d46f2e8d"

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "agentic_security"
-version = "0.2.0"
+version = "0.2.4"
 description = "Agentic LLM vulnerability scanner"
 authors = ["Alexander Miasoiedov <msoedov@gmail.com>"]
 maintainers = ["Alexander Miasoiedov <msoedov@gmail.com>"]
@@ -26,30 +26,29 @@ agentic_security = "agentic_security.__main__:entrypoint"
 
 [tool.poetry.dependencies]
 python = "^3.10"
-fastapi = "^0.112.1"
+fastapi = "^0.115.2"
-uvicorn = "^0.30.6"
+uvicorn = "^0.32.0"
-fire = ">=0.5,<0.7"
+fire = "0.7.0"
 loguru = "^0.7.2"
 httpx = ">=0.25.1,<0.28.0"
 cache-to-disk = "^2.0.0"
 pandas = ">=1.4,<3.0"
-datasets = "^1.14.0"
+datasets = ">=1.14,<4.0"
 tabulate = ">=0.8.9,<0.10.0"
 colorama = "^0.4.4"
 matplotlib = "^3.9.2"
-pydantic = "2.8.2"
+pydantic = "2.9.2"
-scikit-optimize = "^0.9.0"
+scikit-optimize = "^0.10.2"
+scikit-learn = "1.5.1"
 
 [tool.poetry.group.dev.dependencies]
-black = "^24.8.0"
+black = "^24.10.0"
-mypy = "^1.6.1"
+mypy = "^1.12.0"
-httpx = ">=0.25.1,<0.28.0"
+pytest = "^8.3.3"
-pytest = "^8.3.2"
+pre-commit = "^4.0.1"
-pre-commit = "^3.8.0"
+inline-snapshot = "^0.13.3"
-inline-snapshot = "^0.12.1"
+langchain-groq = "^0.2.0"
-langchain-groq = "^0.1.9"
+huggingface-hub = "^0.25.1"
-# Optional dependencies
-huggingface-hub = "^0.23.2"
 # garak = "*"
 
 [tool.ruff]