diff --git a/poetry.lock b/poetry.lock
index 1a8da7c5..23ea8a2f 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -520,6 +520,137 @@ files = [
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 ]
 
+[[package]]
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+version = "1.1.0"
+description = "Python bindings for the Brotli compression library"
+optional = false
+python-versions = "*"
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+
+[package.dependencies]
+cffi = ">=1.0.0"
+
 [[package]]
 name = "build"
 version = "1.2.1"
@@ -1032,6 +1163,7 @@ files = [
 [package.dependencies]
 appdirs = ">=1.4.4,<2.0.0"
 click = ">=8.1.7,<9.0.0"
+crewai-tools = {version = ">=0.1.6,<0.2.0", optional = true, markers = "extra == \"tools\""}
 embedchain = ">=0.1.98,<0.2.0"
 instructor = ">=0.5.2,<0.6.0"
 langchain = ">=0.1.10,<0.2.0"
@@ -1046,6 +1178,31 @@ regex = ">=2023.12.25,<2024.0.0"
 [package.extras]
 tools = ["crewai-tools (>=0.1.6,<0.2.0)"]
 
+[[package]]
+name = "crewai-tools"
+version = "0.1.6"
+description = "Set of tools for the crewAI framework"
+optional = false
+python-versions = "<=3.13,>=3.10"
+files = [
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+    {file = "crewai_tools-0.1.6.tar.gz", hash = "sha256:b999c4f4ed422183774206696466ee02b8a3f70c16e19dc9cbe1fa9b47788f8c"},
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+[package.dependencies]
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+chromadb = ">=0.4.22,<0.5.0"
+embedchain = {version = ">=0.1.85,<0.2.0", extras = ["github", "youtube"]}
+lancedb = ">=0.5.4,<0.6.0"
+langchain = ">=0.1.4,<0.2.0"
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+pydantic = ">=2.6.1,<3.0.0"
+pyright = ">=1.1.350,<2.0.0"
+pytest = ">=8.0.0,<9.0.0"
+pytube = ">=15.0.0,<16.0.0"
+requests = ">=2.31.0,<3.0.0"
+selenium = ">=4.18.1,<5.0.0"
+
 [[package]]
 name = "cron-validator"
 version = "1.0.8"
@@ -1274,6 +1431,17 @@ files = [
 marshmallow = ">=3.18.0,<4.0.0"
 typing-inspect = ">=0.4.0,<1"
 
+[[package]]
+name = "decorator"
+version = "5.1.1"
+description = "Decorators for Humans"
+optional = false
+python-versions = ">=3.5"
+files = [
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+    {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
+]
+
 [[package]]
 name = "deprecated"
 version = "1.2.14"
@@ -1503,12 +1671,14 @@ files = [
 alembic = ">=1.13.1,<2.0.0"
 beautifulsoup4 = ">=4.12.2,<5.0.0"
 chromadb = ">=0.4.17,<0.5.0"
+gitpython = {version = ">=3.1.38,<4.0.0", optional = true, markers = "extra == \"github\""}
 google-cloud-aiplatform = ">=1.26.1,<2.0.0"
 gptcache = ">=0.1.43,<0.2.0"
 langchain = ">=0.1.4,<0.2.0"
 langchain-openai = ">=0.0.5,<0.0.6"
 openai = ">=1.1.1"
 posthog = ">=3.0.2,<4.0.0"
+PyGithub = {version = ">=1.59.1,<2.0.0", optional = true, markers = "extra == \"github\""}
 pypdf = ">=3.11.0,<4.0.0"
 pysbd = ">=0.3.4,<0.4.0"
 python-dotenv = ">=1.0.0,<2.0.0"
@@ -1516,6 +1686,8 @@ rich = ">=13.7.0,<14.0.0"
 schema = ">=0.7.5,<0.8.0"
 sqlalchemy = ">=2.0.27,<3.0.0"
 tiktoken = ">=0.5.2,<0.6.0"
+youtube-transcript-api = {version = ">=0.6.1,<0.7.0", optional = true, markers = "extra == \"dataloaders\" or extra == \"youtube\""}
+yt_dlp = {version = ">=2023.11.14,<2024.0.0", optional = true, markers = "extra == \"youtube\""}
 
 [package.extras]
 aws-bedrock = ["boto3 (>=1.34.20,<2.0.0)"]
@@ -3062,6 +3234,39 @@ websocket-client = ">=0.32.0,<0.40.0 || >0.40.0,<0.41.dev0 || >=0.43.dev0"
 [package.extras]
 adal = ["adal (>=1.0.2)"]
 
+[[package]]
+name = "lancedb"
+version = "0.5.7"
+description = "lancedb"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
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+cachetools = "*"
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+deprecation = "*"
+overrides = ">=0.7"
+pydantic = ">=1.10"
+pylance = "0.9.18"
+pyyaml = ">=6.0"
+ratelimiter = ">=1.0,<2.0"
+requests = ">=2.31.0"
+retry = ">=0.9.2"
+semver = ">=3.0"
+tqdm = ">=4.27.0"
+
+[package.extras]
+clip = ["open-clip", "pillow", "torch"]
+dev = ["pre-commit", "ruff"]
+docs = ["mkdocs", "mkdocs-jupyter", "mkdocs-material", "mkdocs-ultralytics-plugin (==0.0.44)", "mkdocstrings[python]"]
+embeddings = ["InstructorEmbedding", "awscli (>=1.29.57)", "boto3 (>=1.28.57)", "botocore (>=1.31.57)", "cohere", "google.generativeai", "huggingface-hub", "open-clip-torch", "openai (>=1.6.1)", "pillow", "sentence-transformers", "torch"]
+tests = ["aiohttp", "duckdb", "pandas (>=1.4)", "polars (>=0.19)", "pytest", "pytest-asyncio", "pytest-mock", "pytz"]
+
 [[package]]
 name = "langchain"
 version = "0.1.14"
@@ -3840,6 +4045,17 @@ files = [
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 ]
 
+[[package]]
+name = "mutagen"
+version = "1.47.0"
+description = "read and write audio tags for many formats"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
 [[package]]
 name = "mypy"
 version = "1.9.0"
@@ -3952,6 +4168,20 @@ plot = ["matplotlib"]
 tgrep = ["pyparsing"]
 twitter = ["twython"]
 
+[[package]]
+name = "nodeenv"
+version = "1.8.0"
+description = "Node.js virtual environment builder"
+optional = false
+python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
+files = [
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+]
+
+[package.dependencies]
+setuptools = "*"
+
 [[package]]
 name = "numexpr"
 version = "2.10.0"
@@ -4361,6 +4591,20 @@ files = [
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 ]
 
+[[package]]
+name = "outcome"
+version = "1.3.0.post0"
+description = "Capture the outcome of Python function calls."
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.dependencies]
+attrs = ">=19.2.0"
+
 [[package]]
 name = "overrides"
 version = "7.7.0"
@@ -4851,6 +5095,17 @@ all = ["apache-bookkeeper-client (>=4.16.1)", "fastavro (>=1.9.2)", "grpcio (>=1
 avro = ["fastavro (>=1.9.2)"]
 functions = ["apache-bookkeeper-client (>=4.16.1)", "grpcio (>=1.60.0)", "prometheus-client", "protobuf (>=3.6.1,<=3.20.3)", "ratelimit"]
 
+[[package]]
+name = "py"
+version = "1.11.0"
+description = "library with cross-python path, ini-parsing, io, code, log facilities"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
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+]
+
 [[package]]
 name = "pyarrow"
 version = "15.0.2"
@@ -5013,6 +5268,47 @@ files = [
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 ]
 
+[[package]]
+name = "pycryptodomex"
+version = "3.20.0"
+description = "Cryptographic library for Python"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
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+]
+
 [[package]]
 name = "pydantic"
 version = "2.6.4"
@@ -5172,6 +5468,23 @@ files = [
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 ]
 
+[[package]]
+name = "pygithub"
+version = "1.59.1"
+description = "Use the full Github API v3"
+optional = false
+python-versions = ">=3.7"
+files = [
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+[package.dependencies]
+deprecated = "*"
+pyjwt = {version = ">=2.4.0", extras = ["crypto"]}
+pynacl = ">=1.4.0"
+requests = ">=2.14.0"
+
 [[package]]
 name = "pygments"
 version = "2.17.2"
@@ -5187,6 +5500,76 @@ files = [
 plugins = ["importlib-metadata"]
 windows-terminal = ["colorama (>=0.4.6)"]
 
+[[package]]
+name = "pyjwt"
+version = "2.8.0"
+description = "JSON Web Token implementation in Python"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "PyJWT-2.8.0.tar.gz", hash = "sha256:57e28d156e3d5c10088e0c68abb90bfac3df82b40a71bd0daa20c65ccd5c23de"},
+]
+
+[package.dependencies]
+cryptography = {version = ">=3.4.0", optional = true, markers = "extra == \"crypto\""}
+
+[package.extras]
+crypto = ["cryptography (>=3.4.0)"]
+dev = ["coverage[toml] (==5.0.4)", "cryptography (>=3.4.0)", "pre-commit", "pytest (>=6.0.0,<7.0.0)", "sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "zope.interface"]
+docs = ["sphinx (>=4.5.0,<5.0.0)", "sphinx-rtd-theme", "zope.interface"]
+tests = ["coverage[toml] (==5.0.4)", "pytest (>=6.0.0,<7.0.0)"]
+
+[[package]]
+name = "pylance"
+version = "0.9.18"
+description = "python wrapper for Lance columnar format"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[package.extras]
+benchmarks = ["pytest-benchmark"]
+dev = ["ruff (==0.2.2)"]
+tests = ["datasets", "duckdb", "ml_dtypes", "pandas", "pillow", "polars[pandas,pyarrow]", "pytest", "tensorflow", "tqdm"]
+torch = ["torch"]
+
+[[package]]
+name = "pynacl"
+version = "1.5.0"
+description = "Python binding to the Networking and Cryptography (NaCl) library"
+optional = false
+python-versions = ">=3.6"
+files = [
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+    {file = "PyNaCl-1.5.0-cp36-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:61f642bf2378713e2c2e1de73444a3778e5f0a38be6fee0fe532fe30060282ff"},
+    {file = "PyNaCl-1.5.0-cp36-abi3-win32.whl", hash = "sha256:e46dae94e34b085175f8abb3b0aaa7da40767865ac82c928eeb9e57e1ea8a543"},
+    {file = "PyNaCl-1.5.0-cp36-abi3-win_amd64.whl", hash = "sha256:20f42270d27e1b6a29f54032090b972d97f0a1b0948cc52392041ef7831fee93"},
+    {file = "PyNaCl-1.5.0.tar.gz", hash = "sha256:8ac7448f09ab85811607bdd21ec2464495ac8b7c66d146bf545b0f08fb9220ba"},
+]
+
+[package.dependencies]
+cffi = ">=1.4.1"
+
+[package.extras]
+docs = ["sphinx (>=1.6.5)", "sphinx-rtd-theme"]
+tests = ["hypothesis (>=3.27.0)", "pytest (>=3.2.1,!=3.3.0)"]
+
 [[package]]
 name = "pypdf"
 version = "3.17.4"
@@ -5240,6 +5623,24 @@ files = [
     {file = "pyreadline3-3.4.1.tar.gz", hash = "sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae"},
 ]
 
+[[package]]
+name = "pyright"
+version = "1.1.357"
+description = "Command line wrapper for pyright"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "pyright-1.1.357-py3-none-any.whl", hash = "sha256:1cf29ee38e4928131895cd8e90eef37b5b77e2ed72a14e6e8e2405266f5f0aca"},
+    {file = "pyright-1.1.357.tar.gz", hash = "sha256:7c66261116c78c5fa9629134fe85c54cc5302ab73e376be4b0a99d89c80a9403"},
+]
+
+[package.dependencies]
+nodeenv = ">=1.6.0"
+
+[package.extras]
+all = ["twine (>=3.4.1)"]
+dev = ["twine (>=3.4.1)"]
+
 [[package]]
 name = "pysbd"
 version = "0.3.4"
@@ -5250,6 +5651,18 @@ files = [
     {file = "pysbd-0.3.4-py3-none-any.whl", hash = "sha256:cd838939b7b0b185fcf86b0baf6636667dfb6e474743beeff878e9f42e022953"},
 ]
 
+[[package]]
+name = "pysocks"
+version = "1.7.1"
+description = "A Python SOCKS client module. See https://github.com/Anorov/PySocks for more information."
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
+files = [
+    {file = "PySocks-1.7.1-py27-none-any.whl", hash = "sha256:08e69f092cc6dbe92a0fdd16eeb9b9ffbc13cadfe5ca4c7bd92ffb078b293299"},
+    {file = "PySocks-1.7.1-py3-none-any.whl", hash = "sha256:2725bd0a9925919b9b51739eea5f9e2bae91e83288108a9ad338b2e3a4435ee5"},
+    {file = "PySocks-1.7.1.tar.gz", hash = "sha256:3f8804571ebe159c380ac6de37643bb4685970655d3bba243530d6558b799aa0"},
+]
+
 [[package]]
 name = "pytest"
 version = "8.1.1"
@@ -5318,6 +5731,17 @@ files = [
 [package.extras]
 cli = ["click (>=5.0)"]
 
+[[package]]
+name = "pytube"
+version = "15.0.0"
+description = "Python 3 library for downloading YouTube Videos."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "pytube-15.0.0-py3-none-any.whl", hash = "sha256:07b9904749e213485780d7eb606e5e5b8e4341aa4dccf699160876da00e12d78"},
+    {file = "pytube-15.0.0.tar.gz", hash = "sha256:076052efe76f390dfa24b1194ff821d4e86c17d41cb5562f3a276a8bcbfc9d1d"},
+]
+
 [[package]]
 name = "pytz"
 version = "2024.1"
@@ -5535,6 +5959,20 @@ files = [
 [package.extras]
 full = ["numpy"]
 
+[[package]]
+name = "ratelimiter"
+version = "1.2.0.post0"
+description = "Simple python rate limiting object"
+optional = false
+python-versions = "*"
+files = [
+    {file = "ratelimiter-1.2.0.post0-py3-none-any.whl", hash = "sha256:a52be07bc0bb0b3674b4b304550f10c769bbb00fead3072e035904474259809f"},
+    {file = "ratelimiter-1.2.0.post0.tar.gz", hash = "sha256:5c395dcabdbbde2e5178ef3f89b568a3066454a6ddc223b76473dac22f89b4f7"},
+]
+
+[package.extras]
+test = ["pytest (>=3.0)", "pytest-asyncio"]
+
 [[package]]
 name = "referencing"
 version = "0.34.0"
@@ -5725,6 +6163,21 @@ files = [
 [package.dependencies]
 requests = ">=2.0.1,<3.0.0"
 
+[[package]]
+name = "retry"
+version = "0.9.2"
+description = "Easy to use retry decorator."
+optional = false
+python-versions = "*"
+files = [
+    {file = "retry-0.9.2-py2.py3-none-any.whl", hash = "sha256:ccddf89761fa2c726ab29391837d4327f819ea14d244c232a1d24c67a2f98606"},
+    {file = "retry-0.9.2.tar.gz", hash = "sha256:f8bfa8b99b69c4506d6f5bd3b0aabf77f98cdb17f3c9fc3f5ca820033336fba4"},
+]
+
+[package.dependencies]
+decorator = ">=3.4.2"
+py = ">=1.4.26,<2.0.0"
+
 [[package]]
 name = "rich"
 version = "13.7.1"
@@ -5998,6 +6451,35 @@ files = [
 cryptography = ">=2.0"
 jeepney = ">=0.6"
 
+[[package]]
+name = "selenium"
+version = "4.19.0"
+description = ""
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "selenium-4.19.0-py3-none-any.whl", hash = "sha256:5b4f49240d61e687a73f7968ae2517d403882aae3550eae2a229c745e619f1d9"},
+    {file = "selenium-4.19.0.tar.gz", hash = "sha256:d9dfd6d0b021d71d0a48b865fe7746490ba82b81e9c87b212360006629eb1853"},
+]
+
+[package.dependencies]
+certifi = ">=2021.10.8"
+trio = ">=0.17,<1.0"
+trio-websocket = ">=0.9,<1.0"
+typing_extensions = ">=4.9.0"
+urllib3 = {version = ">=1.26,<3", extras = ["socks"]}
+
+[[package]]
+name = "semver"
+version = "3.0.2"
+description = "Python helper for Semantic Versioning (https://semver.org)"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "semver-3.0.2-py3-none-any.whl", hash = "sha256:b1ea4686fe70b981f85359eda33199d60c53964284e0cfb4977d243e37cf4bf4"},
+    {file = "semver-3.0.2.tar.gz", hash = "sha256:6253adb39c70f6e51afed2fa7152bcd414c411286088fb4b9effb133885ab4cc"},
+]
+
 [[package]]
 name = "serpapi"
 version = "0.1.5"
@@ -6133,6 +6615,17 @@ files = [
     {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"},
 ]
 
+[[package]]
+name = "sortedcontainers"
+version = "2.4.0"
+description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set"
+optional = false
+python-versions = "*"
+files = [
+    {file = "sortedcontainers-2.4.0-py2.py3-none-any.whl", hash = "sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0"},
+    {file = "sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88"},
+]
+
 [[package]]
 name = "soupsieve"
 version = "2.5"
@@ -6651,6 +7144,42 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
+[[package]]
+name = "trio"
+version = "0.25.0"
+description = "A friendly Python library for async concurrency and I/O"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "trio-0.25.0-py3-none-any.whl", hash = "sha256:e6458efe29cc543e557a91e614e2b51710eba2961669329ce9c862d50c6e8e81"},
+    {file = "trio-0.25.0.tar.gz", hash = "sha256:9b41f5993ad2c0e5f62d0acca320ec657fdb6b2a2c22b8c7aed6caf154475c4e"},
+]
+
+[package.dependencies]
+attrs = ">=23.2.0"
+cffi = {version = ">=1.14", markers = "os_name == \"nt\" and implementation_name != \"pypy\""}
+exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
+idna = "*"
+outcome = "*"
+sniffio = ">=1.3.0"
+sortedcontainers = "*"
+
+[[package]]
+name = "trio-websocket"
+version = "0.11.1"
+description = "WebSocket library for Trio"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "trio-websocket-0.11.1.tar.gz", hash = "sha256:18c11793647703c158b1f6e62de638acada927344d534e3c7628eedcb746839f"},
+    {file = "trio_websocket-0.11.1-py3-none-any.whl", hash = "sha256:520d046b0d030cf970b8b2b2e00c4c2245b3807853ecd44214acd33d74581638"},
+]
+
+[package.dependencies]
+exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
+trio = ">=0.11"
+wsproto = ">=0.14"
+
 [[package]]
 name = "trove-classifiers"
 version = "2024.3.25"
@@ -6756,6 +7285,9 @@ files = [
     {file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
 ]
 
+[package.dependencies]
+pysocks = {version = ">=1.5.6,<1.5.7 || >1.5.7,<2.0", optional = true, markers = "extra == \"socks\""}
+
 [package.extras]
 brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
 h2 = ["h2 (>=4,<5)"]
@@ -7222,6 +7754,20 @@ files = [
     {file = "wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"},
 ]
 
+[[package]]
+name = "wsproto"
+version = "1.2.0"
+description = "WebSockets state-machine based protocol implementation"
+optional = false
+python-versions = ">=3.7.0"
+files = [
+    {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"},
+    {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"},
+]
+
+[package.dependencies]
+h11 = ">=0.9.0,<1"
+
 [[package]]
 name = "xattr"
 version = "1.1.0"
@@ -7398,6 +7944,41 @@ files = [
 idna = ">=2.0"
 multidict = ">=4.0"
 
+[[package]]
+name = "youtube-transcript-api"
+version = "0.6.2"
+description = "This is an python API which allows you to get the transcripts/subtitles for a given YouTube video. It also works for automatically generated subtitles, supports translating subtitles and it does not require a headless browser, like other selenium based solutions do!"
+optional = false
+python-versions = "*"
+files = [
+    {file = "youtube_transcript_api-0.6.2-py3-none-any.whl", hash = "sha256:019dbf265c6a68a0591c513fff25ed5a116ce6525832aefdfb34d4df5567121c"},
+    {file = "youtube_transcript_api-0.6.2.tar.gz", hash = "sha256:cad223d7620633cec44f657646bffc8bbc5598bd8e70b1ad2fa8277dec305eb7"},
+]
+
+[package.dependencies]
+requests = "*"
+
+[[package]]
+name = "yt-dlp"
+version = "2023.12.30"
+description = "A youtube-dl fork with additional features and patches"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "yt-dlp-2023.12.30.tar.gz", hash = "sha256:a11862e57721b0a0f0883dfeb5a4d79ba213a2d4c45e1880e9fd70f8e6570c38"},
+    {file = "yt_dlp-2023.12.30-py2.py3-none-any.whl", hash = "sha256:c00d9a71d64472ad441bcaa1ec0c3797d6e60c9f934f270096a96fe51657e7b3"},
+]
+
+[package.dependencies]
+brotli = {version = "*", markers = "implementation_name == \"cpython\""}
+brotlicffi = {version = "*", markers = "implementation_name != \"cpython\""}
+certifi = "*"
+mutagen = "*"
+pycryptodomex = "*"
+requests = ">=2.31.0,<3"
+urllib3 = ">=1.26.17,<3"
+websockets = ">=12.0"
+
 [[package]]
 name = "zipp"
 version = "3.18.1"
@@ -7416,4 +7997,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = "~3.10.0"
-content-hash = "fef761809aab417b1012bd67e68b9b52b6d33a09fb2b5904c1a54306b334bd7a"
+content-hash = "c09e9726f3ab3cbf741266b2bbca13a399899fc4d986c2d49bd1fb6cc4e9ae15"
diff --git a/prediction_market_agent/agents/crewai_subsequential_agent/benchmark.py b/prediction_market_agent/agents/crewai_subsequential_agent/benchmark.py
index cab1deb5..e9d7614c 100644
--- a/prediction_market_agent/agents/crewai_subsequential_agent/benchmark.py
+++ b/prediction_market_agent/agents/crewai_subsequential_agent/benchmark.py
@@ -4,7 +4,9 @@
 import typer
 from dotenv import load_dotenv
 from prediction_market_agent_tooling.benchmark.agents import (
-    AbstractBenchmarkedAgent, RandomAgent, FixedAgent,
+    AbstractBenchmarkedAgent,
+    FixedAgent,
+    RandomAgent,
 )
 from prediction_market_agent_tooling.benchmark.benchmark import Benchmarker
 from prediction_market_agent_tooling.benchmark.utils import (
@@ -12,15 +14,27 @@
     Prediction,
 )
 from prediction_market_agent_tooling.gtypes import Probability
-from prediction_market_agent_tooling.markets.agent_market import SortBy, FilterBy, AgentMarket
-from prediction_market_agent_tooling.markets.markets import get_binary_markets, MarketType
+from prediction_market_agent_tooling.markets.agent_market import (
+    AgentMarket,
+    FilterBy,
+    SortBy,
+)
+from prediction_market_agent_tooling.markets.markets import (
+    MarketType,
+    get_binary_markets,
+)
 
-from prediction_market_agent.agents.crewai_subsequential_agent.crewai_agent_subquestions import CrewAIAgentSubquestions
+from prediction_market_agent.agents.crewai_subsequential_agent.crewai_agent_subquestions import (
+    CrewAIAgentSubquestions,
+)
 
 
 def build_binary_agent_market_from_question(question: str) -> AgentMarket:
     return AgentMarket(
         id=question,
+        url=question,
+        close_time=None,
+        volume=None,
         question=question,
         p_yes=Probability(0.5),
         created_time=datetime(2024, 1, 1),
@@ -31,11 +45,11 @@ def build_binary_agent_market_from_question(question: str) -> AgentMarket:
 
 class CrewAIAgentSubquestionsBenchmark(AbstractBenchmarkedAgent):
     def __init__(
-            self,
-            agent_name: str,
-            max_workers: int,
-            model: str,
-            max_tries: int,
+        self,
+        agent_name: str,
+        max_workers: int,
+        model: str,
+        max_tries: int,
     ) -> None:
         self.model = model
         self.max_tries = max_tries
@@ -44,20 +58,22 @@ def __init__(
 
     def predict(self, market_question: str) -> Prediction:
         result = self.agent.answer_binary_market(market_question)
-        return Prediction(outcome_prediction=OutcomePrediction(
-            p_yes=result.p_yes,
-            confidence=result.confidence))
+        return Prediction(
+            outcome_prediction=OutcomePrediction(
+                p_yes=result.p_yes, confidence=result.confidence, info_utility=None
+            )
+        )
 
 
 def main(
-        n: int = 10,
-        output: str = "./benchmark_report.md",
-        reference: MarketType = MarketType.MANIFOLD,
-        filter: FilterBy = FilterBy.OPEN,
-        sort: SortBy = SortBy.NONE,
-        max_workers: int = 1,
-        cache_path: t.Optional[str] = "predictions_cache.json",
-        only_cached: bool = False,
+    n: int = 5,
+    output: str = "./benchmark_report.md",
+    reference: MarketType = MarketType.MANIFOLD,
+    filter: FilterBy = FilterBy.OPEN,
+    sort: SortBy = SortBy.NONE,
+    max_workers: int = 1,
+    cache_path: t.Optional[str] = "predictions_cache.json",
+    only_cached: bool = False,
 ) -> None:
     """
     Polymarket usually contains higher quality questions,
@@ -65,7 +81,6 @@ def main(
     """
     load_dotenv()
     markets = get_binary_markets(n, reference, filter_by=filter, sort_by=sort)
-    markets = markets[:1]
     markets_deduplicated = list(({m.question: m for m in markets}.values()))
     if len(markets) != len(markets_deduplicated):
         print(
@@ -77,8 +92,12 @@ def main(
     benchmarker = Benchmarker(
         markets=markets_deduplicated,
         agents=[
-            CrewAIAgentSubquestionsBenchmark("subsequential-questions-crewai", max_workers=max_workers, max_tries=3,
-                                             model="gpt-3.5-turbo-0125"),
+            CrewAIAgentSubquestionsBenchmark(
+                "subsequential-questions-crewai",
+                max_workers=max_workers,
+                max_tries=1,
+                model="gpt-3.5-turbo-0125",
+            ),
             RandomAgent(agent_name="random", max_workers=max_workers),
             FixedAgent(
                 fixed_answer=False, agent_name="fixed-no", max_workers=max_workers
@@ -91,7 +110,9 @@ def main(
         only_cached=only_cached,
     )
 
-    benchmarker.run_agents(enable_timing=False)  # Caching of search etc. can distort timings
+    benchmarker.run_agents(
+        enable_timing=False
+    )  # Caching of search etc. can distort timings
     md = benchmarker.generate_markdown_report()
 
     with open(output, "w") as f:
diff --git a/prediction_market_agent/agents/crewai_subsequential_agent/crewai_agent_subquestions.py b/prediction_market_agent/agents/crewai_subsequential_agent/crewai_agent_subquestions.py
index be9fa0dd..53b50633 100644
--- a/prediction_market_agent/agents/crewai_subsequential_agent/crewai_agent_subquestions.py
+++ b/prediction_market_agent/agents/crewai_subsequential_agent/crewai_agent_subquestions.py
@@ -1,12 +1,12 @@
 import typing as t
 
-from crewai import Agent, Task, Process, Crew
+from crewai import Agent, Crew, Process, Task
 from pydantic import BaseModel
 
 from prediction_market_agent.agents.crewai_subsequential_agent.prompts import *
 from prediction_market_agent.tools.crewai_tools import TavilyDevTool
 
-#search_tool = SerperDevTool()
+# search_tool = SerperDevTool()
 tavily_search = TavilyDevTool()
 
 
@@ -53,7 +53,7 @@ def split_research_into_outcomes(self, question: str) -> Outcomes:
             agents=[self.researcher],
             tasks=[create_outcomes_task],
         )
-        result = report_crew.kickoff(inputs={'scenario': question})
+        result = report_crew.kickoff(inputs={"scenario": question})
         return Outcomes.model_validate_json(result)
 
     def build_tasks_for_outcome(self, input_dict: dict[str, t.Any] = {}) -> list[Task]:
@@ -61,7 +61,7 @@ def build_tasks_for_outcome(self, input_dict: dict[str, t.Any] = {}) -> list[Tas
             description=RESEARCH_OUTCOME_PROMPT.format(**input_dict),
             agent=self.researcher,
             expected_output=RESEARCH_OUTCOME_OUTPUT,
-            async_execution=True
+            async_execution=True,
         )
         task_create_probability_for_one_outcome = Task(
             description=PROBABILITY_FOR_ONE_OUTCOME_PROMPT,
@@ -69,7 +69,7 @@ def build_tasks_for_outcome(self, input_dict: dict[str, t.Any] = {}) -> list[Tas
             agent=self.predictor,
             output_json=ProbabilityOutput,
             async_execution=False,
-            context=[task_research_one_outcome]
+            context=[task_research_one_outcome],
         )
 
         return [task_research_one_outcome, task_create_probability_for_one_outcome]
@@ -85,19 +85,21 @@ def generate_prediction_for_one_outcome(self, sentence: str) -> ProbabilityOutpu
             expected_output=PROBABILITY_CLASS_OUTPUT,
             agent=self.predictor,
             output_json=ProbabilityOutput,
-            context=[task_research_one_outcome]
+            context=[task_research_one_outcome],
         )
         crew = Crew(
             agents=[self.researcher, self.predictor],
             tasks=[task_research_one_outcome, task_create_probability_for_one_outcome],
             verbose=2,
-            process=Process.sequential
+            process=Process.sequential,
         )
 
-        result = crew.kickoff(inputs={'sentence': sentence})
+        result = crew.kickoff(inputs={"sentence": sentence})
         return ProbabilityOutput.model_validate_json(result)
 
-    def generate_final_decision(self, outcomes_with_probabilities: list[t.Tuple[str, ProbabilityOutput]]) -> ProbabilityOutput:
+    def generate_final_decision(
+        self, outcomes_with_probabilities: list[t.Tuple[str, ProbabilityOutput]]
+    ) -> ProbabilityOutput:
         task_final_decision = Task(
             description=FINAL_DECISION_PROMPT,
             agent=self.predictor,
@@ -111,21 +113,29 @@ def generate_final_decision(self, outcomes_with_probabilities: list[t.Tuple[str,
             verbose=2,
         )
 
-        crew.kickoff(inputs={'outcomes_with_probabilities':
-                                          [(i[0], i[1].dict()) for i in outcomes_with_probabilities],
-                                      'number_of_outcomes': len(outcomes_with_probabilities),
-                                      'outcome_to_assess': outcomes_with_probabilities[0][0]})
-        return ProbabilityOutput.model_validate_json(task_final_decision.output.raw_output)
+        crew.kickoff(
+            inputs={
+                "outcomes_with_probabilities": [
+                    (i[0], i[1].dict()) for i in outcomes_with_probabilities
+                ],
+                "number_of_outcomes": len(outcomes_with_probabilities),
+                "outcome_to_assess": outcomes_with_probabilities[0][0],
+            }
+        )
+        return ProbabilityOutput.model_validate_json(
+            task_final_decision.output.raw_output
+        )
 
     def answer_binary_market(self, question: str) -> ProbabilityOutput:
-
         outcomes = self.split_research_into_outcomes(question)
-        print ("outcomes ", outcomes)
+        print("outcomes ", outcomes)
 
         outcomes_with_probs = []
         task_map = {}
         for outcome in outcomes.outcomes:
-            tasks_for_outcome = self.build_tasks_for_outcome(input_dict={"sentence": outcome})
+            tasks_for_outcome = self.build_tasks_for_outcome(
+                input_dict={"sentence": outcome}
+            )
             task_map[outcome] = tasks_for_outcome
 
         # flatten nested list
@@ -134,7 +144,7 @@ def answer_binary_market(self, question: str) -> ProbabilityOutput:
             agents=[self.researcher, self.predictor],
             tasks=all_tasks,
             verbose=2,
-            process=Process.sequential
+            process=Process.sequential,
         )
 
         # crew.kickoff doesn't finish all async tasks when done.
@@ -143,10 +153,14 @@ def answer_binary_market(self, question: str) -> ProbabilityOutput:
         # We parse individual task results to build outcomes_with_probs
         for outcome, tasks in task_map.items():
             try:
-                prediction_result = ProbabilityOutput.model_validate_json(tasks[1].output.raw_output)
+                prediction_result = ProbabilityOutput.model_validate_json(
+                    tasks[1].output.raw_output
+                )
             except Exception as e:
                 print("Could not parse result as ProbabilityOutput ", e)
-                prediction_result = ProbabilityOutput(p_yes=0.5, p_no=0.5, confidence=0, decision="")
+                prediction_result = ProbabilityOutput(
+                    p_yes=0.5, p_no=0.5, confidence=0, decision=""
+                )
 
             outcomes_with_probs.append((outcome, prediction_result))
 
diff --git a/prediction_market_agent/agents/crewai_subsequential_agent/deploy.py b/prediction_market_agent/agents/crewai_subsequential_agent/deploy.py
index 35c3ca7a..49fd44b0 100644
--- a/prediction_market_agent/agents/crewai_subsequential_agent/deploy.py
+++ b/prediction_market_agent/agents/crewai_subsequential_agent/deploy.py
@@ -1,6 +1,6 @@
 import os
-from decimal import Decimal
 import random
+from decimal import Decimal
 
 from langchain_openai import OpenAI
 from prediction_market_agent_tooling.deploy.agent import DeployableAgent
@@ -8,7 +8,9 @@
 from prediction_market_agent_tooling.markets.data_models import BetAmount, Currency
 from prediction_market_agent_tooling.markets.markets import MarketType
 
-from prediction_market_agent.agents.crewai_subsequential_agent.crewai_agent_subquestions import CrewAIAgentSubquestions
+from prediction_market_agent.agents.crewai_subsequential_agent.crewai_agent_subquestions import (
+    CrewAIAgentSubquestions,
+)
 from prediction_market_agent.agents.known_outcome_agent.known_outcome_agent import (
     Result,
 )
@@ -40,10 +42,10 @@ def pick_markets(self, markets: list[AgentMarket]) -> list[AgentMarket]:
     def answer_binary_market(self, market: AgentMarket) -> bool:
         # The answer has already been determined in `pick_markets` so we just
         # return it here.
-        os.environ["OPENAI_MODEL_NAME"]="gpt-4-turbo-preview"
+        os.environ["OPENAI_MODEL_NAME"] = "gpt-4-turbo-preview"
         agent = CrewAIAgentSubquestions()
-        result = agent.answer_binary_market(market)
-        return result
+        result = agent.answer_binary_market(market.question)
+        return True if result.decision == "y" else False
 
     def calculate_bet_amount(self, answer: bool, market: AgentMarket) -> BetAmount:
         if market.currency == Currency.xDai:
@@ -54,10 +56,9 @@ def calculate_bet_amount(self, answer: bool, market: AgentMarket) -> BetAmount:
 
 if __name__ == "__main__":
     agent = DeployableThinkThoroughlyAgent()
-    agent.deploy_local(market_type=MarketType.OMEN,
-                       sleep_time=540,
-                       timeout=180,
-                       place_bet=False)
+    agent.deploy_local(
+        market_type=MarketType.OMEN, sleep_time=540, timeout=180, place_bet=False
+    )
     # agent.deploy_gcp(
     #     repository=f"git+{get_current_git_url()}@{get_current_git_commit_sha()}",
     #     market_type=MarketType.OMEN,
diff --git a/prediction_market_agent/agents/crewai_subsequential_agent/prompts.py b/prediction_market_agent/agents/crewai_subsequential_agent/prompts.py
index 9af3ac10..a543f396 100644
--- a/prediction_market_agent/agents/crewai_subsequential_agent/prompts.py
+++ b/prediction_market_agent/agents/crewai_subsequential_agent/prompts.py
@@ -22,12 +22,12 @@
         {scenario}
         """
 
-CREATE_OUTCOMES_FROM_SCENARIO_OUTPUT = '''
+CREATE_OUTCOMES_FROM_SCENARIO_OUTPUT = """
   A list containing multiple bullet points. Each bullet point should start with '-'.
   Each bullet point should contain a possible outcome resulting from the
   provided SCENARIO. The produced outcomes should be mutually exclusive, i.e. only one of them should be true whereas
   the remaining ones should be false.
-  '''
+  """
 
 PROBABILITY_FOR_ONE_OUTCOME_PROMPT = """
                             Your task is to determine the probability of a prediction market affirmation being answered 'Yes' or 'No'.
@@ -93,9 +93,8 @@
     - "confidence": Indicating the confidence in the estimated probabilities you provided ranging from 0 (lowest confidence) to 
     1 (maximum confidence). Confidence can be calculated based on the quality and quantity of data used for the estimation.
 
-    A valid JSON string as output could look like the example below:
-    Example output: {"decision": "y","p_yes": 0.1, "p_no": 0.9, "confidence": 0.4}
-    Do not use escape quotes and line breaks. Do not output any reasoning, only the JSON object.
+    Do not surround the output object with escape quotes, line breaks nor '''. 
+    Do not output any reasoning, only the JSON object.
 
   Ensure p_yes + p_no equals 1.
 """
diff --git a/prediction_market_agent/tools/crewai_tools.py b/prediction_market_agent/tools/crewai_tools.py
index 82fd64aa..a6529a42 100644
--- a/prediction_market_agent/tools/crewai_tools.py
+++ b/prediction_market_agent/tools/crewai_tools.py
@@ -1,30 +1,36 @@
 import os
-from typing import Type, Any
+from typing import Any, Type
 
 from crewai_tools.tools.base_tool import BaseTool
 from langchain_community.utilities.tavily_search import TavilySearchAPIWrapper
 from pydantic.v1 import BaseModel, Field
+from pydantic.v1.types import SecretStr
 
 
 class TavilyDevToolSchema(BaseModel):
-	"""Input for TXTSearchTool."""
-	search_query: str = Field(..., description="Mandatory search query you want to use to search the internet")
+    """Input for TXTSearchTool."""
+
+    search_query: str = Field(
+        ..., description="Mandatory search query you want to use to search the internet"
+    )
+
 
 class TavilyDevTool(BaseTool):
-	name: str = "Search the internet"
-	# From Langchain's Tavily integration
-	description: str = """"A search engine optimized for comprehensive, accurate, \
+    name: str = "Search the internet"
+    # From Langchain's Tavily integration
+    description: str = """"A search engine optimized for comprehensive, accurate, \
 and trusted results. Useful for when you need to answer questions \
 about current events or about recent information. \
 Input should be a search query. \
 If the user is asking about something that you don't know about, \
 you should probably use this tool to see if that can provide any information."""
-	args_schema: Type[BaseModel] = TavilyDevToolSchema
-
-	def _run(
-		self,
-		search_query: str,
-		**kwargs: Any,
-	) -> Any:
+    args_schema: Type[BaseModel] = TavilyDevToolSchema
 
-		return TavilySearchAPIWrapper(tavily_api_key = os.environ['TAVILY_API_KEY']).results(query=search_query)
\ No newline at end of file
+    def _run(
+        self,
+        search_query: str,
+        **kwargs: Any,
+    ) -> Any:
+        return TavilySearchAPIWrapper(
+            tavily_api_key=SecretStr(os.environ["TAVILY_API_KEY"])
+        ).results(query=search_query)
diff --git a/pyproject.toml b/pyproject.toml
index 22e4b470..ea683114 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -21,7 +21,7 @@ google-search-results = "*"
 pytest = "*"
 llama-index = "~0.9.0"
 duckduckgo-search = "*"
-crewai = {extras = ["tools"], version = ">=0.22.5 <0."}
+crewai = {extras = ["tools"], version = ">=0.22.5"}
 # metagpt = "*" # Commented out because requires super old version of langchain, and conflicts with crewai.
 replicate = "*"
 typer = "^0.9.0"