diff --git a/main.py b/main.py
index 63c0008f..e64794a6 100644
--- a/main.py
+++ b/main.py
@@ -1,10 +1,9 @@
 from decimal import Decimal
 
 import typer
-from prediction_market_agent_tooling.markets.markets import (
-    MarketType,
-    get_binary_markets,
-)
+from prediction_market_agent_tooling.markets.agent_market import SortBy
+from prediction_market_agent_tooling.markets.markets import MARKET_TYPE_MAP, MarketType
+from prediction_market_agent_tooling.tools.utils import check_not_none
 
 import prediction_market_agent as pma
 from prediction_market_agent.agents.all_agents import AgentType, get_agent
@@ -19,7 +18,8 @@ def main(
     Picks one market and answers it, optionally placing a bet.
     """
     # Pick a market
-    market = get_binary_markets(market_type)[0]
+    cls = check_not_none(MARKET_TYPE_MAP.get(market_type))
+    market = cls.get_binary_markets(limit=1, sort_by=SortBy.NEWEST)[0]
 
     # Create the agent and run it
     agent = get_agent(agent_type)
diff --git a/poetry.lock b/poetry.lock
index 3840e80c..327bfd44 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -199,30 +199,19 @@ tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "p
 
 [[package]]
 name = "autoflake"
-version = "2.3.0"
+version = "2.3.1"
 description = "Removes unused imports and unused variables"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "autoflake-2.3.0-py3-none-any.whl", hash = "sha256:79a51eb8c0744759d2efe052455ab20aa6a314763510c3fd897499a402126327"},
-    {file = "autoflake-2.3.0.tar.gz", hash = "sha256:8c2011fa34701b9d7dcf05b9873bc4859d4fce4e62dfea90dffefd1576f5f01d"},
+    {file = "autoflake-2.3.1-py3-none-any.whl", hash = "sha256:3ae7495db9084b7b32818b4140e6dc4fc280b712fb414f5b8fe57b0a8e85a840"},
+    {file = "autoflake-2.3.1.tar.gz", hash = "sha256:c98b75dc5b0a86459c4f01a1d32ac7eb4338ec4317a4469515ff1e687ecd909e"},
 ]
 
 [package.dependencies]
 pyflakes = ">=3.0.0"
 tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""}
 
-[[package]]
-name = "backoff"
-version = "2.2.1"
-description = "Function decoration for backoff and retry"
-optional = false
-python-versions = ">=3.7,<4.0"
-files = [
-    {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
-    {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
-]
-
 [[package]]
 name = "beautifulsoup4"
 version = "4.12.3"
@@ -434,17 +423,18 @@ files = [
 
 [[package]]
 name = "build"
-version = "1.0.3"
+version = "1.1.1"
 description = "A simple, correct Python build frontend"
 optional = false
 python-versions = ">= 3.7"
 files = [
-    {file = "build-1.0.3-py3-none-any.whl", hash = "sha256:589bf99a67df7c9cf07ec0ac0e5e2ea5d4b37ac63301c4986d1acb126aa83f8f"},
-    {file = "build-1.0.3.tar.gz", hash = "sha256:538aab1b64f9828977f84bc63ae570b060a8ed1be419e7870b8b4fc5e6ea553b"},
+    {file = "build-1.1.1-py3-none-any.whl", hash = "sha256:8ed0851ee76e6e38adce47e4bee3b51c771d86c64cf578d0c2245567ee200e73"},
+    {file = "build-1.1.1.tar.gz", hash = "sha256:8eea65bb45b1aac2e734ba2cc8dad3a6d97d97901a395bd0ed3e7b46953d2a31"},
 ]
 
 [package.dependencies]
 colorama = {version = "*", markers = "os_name == \"nt\""}
+importlib-metadata = {version = ">=4.6", markers = "python_full_version < \"3.10.2\""}
 packaging = ">=19.0"
 pyproject_hooks = "*"
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
@@ -457,34 +447,34 @@ virtualenv = ["virtualenv (>=20.0.35)"]
 
 [[package]]
 name = "cachecontrol"
-version = "0.13.1"
+version = "0.14.0"
 description = "httplib2 caching for requests"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "cachecontrol-0.13.1-py3-none-any.whl", hash = "sha256:95dedbec849f46dda3137866dc28b9d133fc9af55f5b805ab1291833e4457aa4"},
-    {file = "cachecontrol-0.13.1.tar.gz", hash = "sha256:f012366b79d2243a6118309ce73151bf52a38d4a5dac8ea57f09bd29087e506b"},
+    {file = "cachecontrol-0.14.0-py3-none-any.whl", hash = "sha256:f5bf3f0620c38db2e5122c0726bdebb0d16869de966ea6a2befe92470b740ea0"},
+    {file = "cachecontrol-0.14.0.tar.gz", hash = "sha256:7db1195b41c81f8274a7bbd97c956f44e8348265a1bc7641c37dfebc39f0c938"},
 ]
 
 [package.dependencies]
 filelock = {version = ">=3.8.0", optional = true, markers = "extra == \"filecache\""}
-msgpack = ">=0.5.2"
+msgpack = ">=0.5.2,<2.0.0"
 requests = ">=2.16.0"
 
 [package.extras]
-dev = ["CacheControl[filecache,redis]", "black", "build", "cherrypy", "mypy", "pytest", "pytest-cov", "sphinx", "tox", "types-redis", "types-requests"]
+dev = ["CacheControl[filecache,redis]", "black", "build", "cherrypy", "furo", "mypy", "pytest", "pytest-cov", "sphinx", "sphinx-copybutton", "tox", "types-redis", "types-requests"]
 filecache = ["filelock (>=3.8.0)"]
 redis = ["redis (>=2.10.5)"]
 
 [[package]]
 name = "cachetools"
-version = "5.3.2"
+version = "5.3.3"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "cachetools-5.3.2-py3-none-any.whl", hash = "sha256:861f35a13a451f94e301ce2bec7cac63e881232ccce7ed67fab9b5df4d3beaa1"},
-    {file = "cachetools-5.3.2.tar.gz", hash = "sha256:086ee420196f7b2ab9ca2db2520aca326318b68fe5ba8bc4d49cca91add450f2"},
+    {file = "cachetools-5.3.3-py3-none-any.whl", hash = "sha256:0abad1021d3f8325b2fc1d2e9c8b9c9d57b04c3932657a72465447332c24d945"},
+    {file = "cachetools-5.3.3.tar.gz", hash = "sha256:ba29e2dfa0b8b556606f097407ed1aa62080ee108ab0dc5ec9d6a723a007d105"},
 ]
 
 [[package]]
@@ -731,26 +721,30 @@ files = [
 
 [[package]]
 name = "crewai"
-version = "0.11.2"
+version = "0.22.2"
 description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
 optional = false
-python-versions = ">=3.10,<4.0"
+python-versions = ">=3.10,<=3.13"
 files = [
-    {file = "crewai-0.11.2-py3-none-any.whl", hash = "sha256:cb6950e5cdd34274fe2659372515cb57f2747d9a21c6083678943b6dfeed0ca6"},
-    {file = "crewai-0.11.2.tar.gz", hash = "sha256:bc3eba593b6053d9dd897d451a556942b54774b3c3b5e4f5323708bcdf26666e"},
+    {file = "crewai-0.22.2-py3-none-any.whl", hash = "sha256:ce1e902403a728d57797eda51a8ba7520f9ad00e3c3c6ed4f61d981ad3edb846"},
+    {file = "crewai-0.22.2.tar.gz", hash = "sha256:9d5c6e34879ef01fa54ef2a8f33999d464360d605aec4b623bf229040c598131"},
 ]
 
 [package.dependencies]
+click = ">=8.1.7,<9.0.0"
 instructor = ">=0.5.2,<0.6.0"
-langchain = ">=0.1.0,<0.2.0"
+langchain = ">=0.1.10,<0.2.0"
 langchain-openai = ">=0.0.5,<0.0.6"
-openai = ">=1.7.1,<2.0.0"
+openai = ">=1.13.3,<2.0.0"
 opentelemetry-api = ">=1.22.0,<2.0.0"
 opentelemetry-exporter-otlp-proto-http = ">=1.22.0,<2.0.0"
 opentelemetry-sdk = ">=1.22.0,<2.0.0"
 pydantic = ">=2.4.2,<3.0.0"
 regex = ">=2023.12.25,<2024.0.0"
 
+[package.extras]
+tools = ["crewai-tools (>=0.0.15,<0.0.16)"]
+
 [[package]]
 name = "cron-validator"
 version = "1.0.8"
@@ -768,43 +762,43 @@ pytz = "*"
 
 [[package]]
 name = "cryptography"
-version = "42.0.4"
+version = "42.0.5"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "cryptography-42.0.5-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:ba334e6e4b1d92442b75ddacc615c5476d4ad55cc29b15d590cc6b86efa487e2"},
+    {file = "cryptography-42.0.5-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:ba3e4a42397c25b7ff88cdec6e2a16c2be18720f317506ee25210f6d31925f9c"},
+    {file = "cryptography-42.0.5-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:111a0d8553afcf8eb02a4fea6ca4f59d48ddb34497aa8706a6cf536f1a5ec576"},
+    {file = "cryptography-42.0.5-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:cd65d75953847815962c84a4654a84850b2bb4aed3f26fadcc1c13892e1e29f6"},
+    {file = "cryptography-42.0.5-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:e807b3188f9eb0eaa7bbb579b462c5ace579f1cedb28107ce8b48a9f7ad3679e"},
+    {file = "cryptography-42.0.5-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:f12764b8fffc7a123f641d7d049d382b73f96a34117e0b637b80643169cec8ac"},
+    {file = "cryptography-42.0.5-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:37dd623507659e08be98eec89323469e8c7b4c1407c85112634ae3dbdb926fdd"},
+    {file = "cryptography-42.0.5.tar.gz", hash = "sha256:6fe07eec95dfd477eb9530aef5bead34fec819b3aaf6c5bd6d20565da607bfe1"},
 ]
 
 [package.dependencies]
@@ -822,18 +816,18 @@ test-randomorder = ["pytest-randomly"]
 
 [[package]]
 name = "curl-cffi"
-version = "0.6.0"
+version = "0.6.2"
 description = "libcurl ffi bindings for Python, with impersonation support"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "curl_cffi-0.6.0-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:5e52b25ebb513f4a468a57469cc32d7064bc1a712ce9c26e5dc980bc568c7042"},
-    {file = "curl_cffi-0.6.0-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:985202dc28cd561d68cbd0b87f11457fc3eb2fcaae3ce5e303a1bee46b3a18b9"},
-    {file = "curl_cffi-0.6.0-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8344ef64c2f137fbce7f443e7307d56cea97d40e391bcd4c35cb1d69e42f5877"},
-    {file = "curl_cffi-0.6.0-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:326a50ba9ba71ca8bb6c42329e0305497ec54f57c6f1a050fa1468f1bc81b48f"},
-    {file = "curl_cffi-0.6.0-cp38-abi3-win32.whl", hash = "sha256:17b8387f389c813fc162cba671e7a00e16683ab423eaee3e15e04b0a6f01f3eb"},
-    {file = "curl_cffi-0.6.0-cp38-abi3-win_amd64.whl", hash = "sha256:91611b32f84c2e4181fc1c5f627ce2fd0d7b01f70d8d806185897750a21153dd"},
-    {file = "curl_cffi-0.6.0.tar.gz", hash = "sha256:d097f01735865c6e741501f8d769c4956e9c1f254c4209a99374b11fbe3d0e9c"},
+    {file = "curl_cffi-0.6.2-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:23b8a2872b160718c04b06b1f8aa4fb1a2f4f94bce7040493515e081a27cad19"},
+    {file = "curl_cffi-0.6.2-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:ad3c1cf5360810825ec4bc3da425f26ee4098878a615dab9d309a99afd883ba9"},
+    {file = "curl_cffi-0.6.2-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3d01de6ed737ad1924aaa0198195b9020c38e77ce90ea3d72b9eacf4938c7adf"},
+    {file = "curl_cffi-0.6.2-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:37e513cc149d024a2d625e202f2cc9d4423d2937343ea2e06f797d99779e62dc"},
+    {file = "curl_cffi-0.6.2-cp38-abi3-win32.whl", hash = "sha256:12e829af97cbf7c1d5afef177e786f6f404ddf163b08897a1ed087cadbeb4837"},
+    {file = "curl_cffi-0.6.2-cp38-abi3-win_amd64.whl", hash = "sha256:3791b7a9ae4cb1298165300f2dc2d60a86779f055570ae83163fc2d8a74bf714"},
+    {file = "curl_cffi-0.6.2.tar.gz", hash = "sha256:9ee519e960b5fc6e0bbf13d0ecba9ce5f6306cb929354504bf03cc30f59a8f63"},
 ]
 
 [package.dependencies]
@@ -1088,23 +1082,22 @@ files = [
 
 [[package]]
 name = "duckduckgo-search"
-version = "4.4.3"
+version = "5.1.0"
 description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "duckduckgo_search-4.4.3-py3-none-any.whl", hash = "sha256:fa07dc7ce2e752c3e0963cceb5b5d46e1c081ca481f395e90d1a295f15f0fc81"},
-    {file = "duckduckgo_search-4.4.3.tar.gz", hash = "sha256:126878ceee1f964e21d07685b9c17af6144b8ee955422844bd56aa3c90a9b8f6"},
+    {file = "duckduckgo_search-5.1.0-py3-none-any.whl", hash = "sha256:691a3e1c948ab9c4409af7891557bdfff66b9f0c521336b008bbc91675ba5353"},
+    {file = "duckduckgo_search-5.1.0.tar.gz", hash = "sha256:27522d05f1e3dc5c2fbe95bd12cc32ff96a790cf8ee993b2949158dee0dbfb1f"},
 ]
 
 [package.dependencies]
 click = ">=8.1.7"
-curl-cffi = ">=0.6.0b9"
+curl-cffi = ">=0.6.2"
 lxml = ">=5.1.0"
-nest-asyncio = ">=1.6.0"
 
 [package.extras]
-dev = ["pytest (>=7.4.2)", "ruff (>=0.1.6)"]
+dev = ["mypy (>=1.8.0)", "pytest (>=8.0.1)", "ruff (>=0.3.0)"]
 
 [[package]]
 name = "dulwich"
@@ -1195,13 +1188,13 @@ pgp = ["gpg"]
 
 [[package]]
 name = "eth-abi"
-version = "5.0.0"
+version = "5.0.1"
 description = "eth_abi: Python utilities for working with Ethereum ABI definitions, especially encoding and decoding"
 optional = false
 python-versions = ">=3.8, <4"
 files = [
-    {file = "eth_abi-5.0.0-py3-none-any.whl", hash = "sha256:936a715d7366ac13cac665cbdaf01cc4aabbe8c2d810d716287a9634f9665e01"},
-    {file = "eth_abi-5.0.0.tar.gz", hash = "sha256:89c4454d794d9ed92ad5cb2794698c5cee6b7b3ca6009187d0e282adc7f9b6dc"},
+    {file = "eth_abi-5.0.1-py3-none-any.whl", hash = "sha256:521960d8b4beee514958e1774951dc6b48176aa274e3bd8b166f6921453047ef"},
+    {file = "eth_abi-5.0.1.tar.gz", hash = "sha256:e9425110c6120c585c9f0db2e8a33d76c4b886b148a65e68fc0035d3917a3b9c"},
 ]
 
 [package.dependencies]
@@ -1210,9 +1203,9 @@ eth-utils = ">=2.0.0"
 parsimonious = ">=0.9.0,<0.10.0"
 
 [package.extras]
-dev = ["build (>=0.9.0)", "bumpversion (>=0.5.3)", "eth-hash[pycryptodome]", "hypothesis (>=4.18.2,<5.0.0)", "ipython", "pre-commit (>=3.4.0)", "pytest (>=7.0.0)", "pytest-pythonpath (>=0.7.1)", "pytest-xdist (>=2.4.0)", "sphinx (>=6.0.0)", "sphinx-rtd-theme (>=1.0.0)", "towncrier (>=21,<22)", "tox (>=4.0.0)", "twine", "wheel"]
+dev = ["build (>=0.9.0)", "bumpversion (>=0.5.3)", "eth-hash[pycryptodome]", "hypothesis (>=4.18.2,<5.0.0)", "ipython", "pre-commit (>=3.4.0)", "pytest (>=7.0.0)", "pytest-pythonpath (>=0.7.1)", "pytest-timeout (>=2.0.0)", "pytest-xdist (>=2.4.0)", "sphinx (>=6.0.0)", "sphinx-rtd-theme (>=1.0.0)", "towncrier (>=21,<22)", "tox (>=4.0.0)", "twine", "wheel"]
 docs = ["sphinx (>=6.0.0)", "sphinx-rtd-theme (>=1.0.0)", "towncrier (>=21,<22)"]
-test = ["eth-hash[pycryptodome]", "hypothesis (>=4.18.2,<5.0.0)", "pytest (>=7.0.0)", "pytest-pythonpath (>=0.7.1)", "pytest-xdist (>=2.4.0)"]
+test = ["eth-hash[pycryptodome]", "hypothesis (>=4.18.2,<5.0.0)", "pytest (>=7.0.0)", "pytest-pythonpath (>=0.7.1)", "pytest-timeout (>=2.0.0)", "pytest-xdist (>=2.4.0)"]
 tools = ["hypothesis (>=4.18.2,<5.0.0)"]
 
 [[package]]
@@ -1243,13 +1236,13 @@ test = ["coverage", "hypothesis (>=4.18.0,<5)", "pytest (>=7.0.0)", "pytest-xdis
 
 [[package]]
 name = "eth-hash"
-version = "0.6.0"
+version = "0.7.0"
 description = "eth-hash: The Ethereum hashing function, keccak256, sometimes (erroneously) called sha3"
 optional = false
 python-versions = ">=3.8, <4"
 files = [
-    {file = "eth-hash-0.6.0.tar.gz", hash = "sha256:ae72889e60db6acbb3872c288cfa02ed157f4c27630fcd7f9c8442302c31e478"},
-    {file = "eth_hash-0.6.0-py3-none-any.whl", hash = "sha256:9f8daaa345764f8871dc461855049ac54ae4291d780279bce6fce7f24e3f17d3"},
+    {file = "eth-hash-0.7.0.tar.gz", hash = "sha256:bacdc705bfd85dadd055ecd35fd1b4f846b671add101427e089a4ca2e8db310a"},
+    {file = "eth_hash-0.7.0-py3-none-any.whl", hash = "sha256:b8d5a230a2b251f4a291e3164a23a14057c4a6de4b0aa4a16fa4dc9161b57e2f"},
 ]
 
 [package.dependencies]
@@ -1264,13 +1257,13 @@ test = ["pytest (>=7.0.0)", "pytest-xdist (>=2.4.0)"]
 
 [[package]]
 name = "eth-keyfile"
-version = "0.7.0"
+version = "0.8.0"
 description = "eth-keyfile: A library for handling the encrypted keyfiles used to store ethereum private keys"
 optional = false
 python-versions = ">=3.8, <4"
 files = [
-    {file = "eth-keyfile-0.7.0.tar.gz", hash = "sha256:6bdb8110c3a50439deb68a04c93c9d5ddd5402353bfae1bf4cfca1d6dff14fcf"},
-    {file = "eth_keyfile-0.7.0-py3-none-any.whl", hash = "sha256:6a89b231a2fe250c3a8f924f2695bb9cce33ddd0d6f7ebbcdacd183d7f83d537"},
+    {file = "eth-keyfile-0.8.0.tar.gz", hash = "sha256:02e3c2e564c7403b92db3fef8ecae3d21123b15787daecd5b643a57369c530f9"},
+    {file = "eth_keyfile-0.8.0-py3-none-any.whl", hash = "sha256:9e09f5bc97c8309876c06bdea7a94f0051c25ba3109b5df37afb815418322efe"},
 ]
 
 [package.dependencies]
@@ -1344,13 +1337,13 @@ test = ["pytest (>=7.0.0)", "pytest-xdist (>=2.4.0)"]
 
 [[package]]
 name = "eth-utils"
-version = "3.0.0"
+version = "4.0.0"
 description = "eth-utils: Common utility functions for python code that interacts with Ethereum"
 optional = false
 python-versions = ">=3.8, <4"
 files = [
-    {file = "eth-utils-3.0.0.tar.gz", hash = "sha256:8721869568448349bceae63c277b75758d11e0dc190e7ef31e161b89619458f1"},
-    {file = "eth_utils-3.0.0-py3-none-any.whl", hash = "sha256:9a284106acf6f6ce91ddf792489cf8bd4c681fd5ae7653d2f3d5d100be5c3905"},
+    {file = "eth-utils-4.0.0.tar.gz", hash = "sha256:58f9c57900e0f430be728a5e976dc6ed51f493a61e8a4ff1f73c043832cd4f2f"},
+    {file = "eth_utils-4.0.0-py3-none-any.whl", hash = "sha256:38d0a5a4b5bb8f2e583f040ede678c47d9eae57a058a11895271a947853947a0"},
 ]
 
 [package.dependencies]
@@ -1410,17 +1403,17 @@ typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
 name = "flaml"
-version = "2.1.1"
+version = "2.1.2"
 description = "A fast library for automated machine learning and tuning"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "FLAML-2.1.1-py3-none-any.whl", hash = "sha256:ba34f1a06f3cbc6bb23a2ea4830a264375f6bba497f402122a73e42647a15535"},
-    {file = "FLAML-2.1.1.tar.gz", hash = "sha256:53e94aacc996da80fe779bc6833d3b25c80c77fe11667d0912798e49293282eb"},
+    {file = "FLAML-2.1.2-py3-none-any.whl", hash = "sha256:42b0b75623ec93c4d4afcb6f3ce0d820d2ace5b7146b103bd851641dcde4a8cd"},
+    {file = "FLAML-2.1.2.tar.gz", hash = "sha256:33102862a21c63d004f78e1349ccd55753e3534bfcdcb6e65a08562c14d69e44"},
 ]
 
 [package.dependencies]
-NumPy = ">=1.17.0rc1"
+NumPy = ">=1.17"
 
 [package.extras]
 autogen = ["diskcache", "openai (==0.27.8)", "termcolor"]
@@ -1439,9 +1432,9 @@ notebook = ["jupyter"]
 openai = ["diskcache", "openai (==0.27.8)"]
 ray = ["ray[tune] (>=1.13,<2.0)"]
 retrievechat = ["chromadb", "diskcache", "openai (==0.27.8)", "sentence-transformers", "termcolor", "tiktoken"]
-spark = ["joblib (<1.3.0)", "joblibspark (>=0.5.0)", "pyspark (>=3.2.0)"]
-synapse = ["joblib (<1.3.0)", "joblibspark (>=0.5.0)", "optuna (==2.8.0)", "pyspark (>=3.2.0)"]
-test = ["catboost (>=0.26,<1.2)", "coverage (>=5.3)", "dataclasses", "datasets", "hcrystalball (==0.1.10)", "ipykernel", "joblib (<1.3.0)", "joblibspark (>=0.5.0)", "lightgbm (>=2.3.1)", "mlflow", "nbconvert", "nbformat", "nltk", "openml", "optuna (==2.8.0)", "packaging", "pandas (>=1.1.4)", "pre-commit", "psutil (==5.8.0)", "pydantic (==1.10.9)", "pyspark (>=3.2.0)", "pytest (>=6.1.1)", "pytorch-forecasting (>=0.9.0,<=0.10.1)", "pytorch-lightning (<1.9.1)", "requests (<2.29.0)", "rgf-python", "rouge-score", "scikit-learn (>=0.24)", "scipy (>=1.4.1)", "seqeval", "statsmodels (>=0.12.2)", "sympy", "tensorboardX (==2.6)", "thop", "torch", "torchvision", "transformers[torch] (==4.26)", "wolframalpha", "xgboost (>=0.90)"]
+spark = ["joblibspark (>=0.5.0)", "pyspark (>=3.2.0)"]
+synapse = ["joblibspark (>=0.5.0)", "optuna (==2.8.0)", "pyspark (>=3.2.0)"]
+test = ["catboost (>=0.26,<1.2)", "coverage (>=5.3)", "dataclasses", "datasets", "hcrystalball (==0.1.10)", "ipykernel", "joblibspark (>=0.5.0)", "lightgbm (>=2.3.1)", "mlflow", "nbconvert", "nbformat", "nltk", "openml", "optuna (==2.8.0)", "packaging", "pandas (>=1.1.4)", "pre-commit", "psutil (==5.8.0)", "pydantic (==1.10.9)", "pyspark (>=3.2.0)", "pytest (>=6.1.1)", "pytorch-forecasting (>=0.9.0,<=0.10.1)", "pytorch-lightning (<1.9.1)", "requests (<2.29.0)", "rgf-python", "rouge-score", "scikit-learn (>=0.24)", "scipy (>=1.4.1)", "seqeval", "statsmodels (>=0.12.2)", "sympy", "tensorboardX (==2.6)", "thop", "torch", "torchvision", "transformers[torch] (==4.26)", "wolframalpha", "xgboost (>=0.90)"]
 ts-forecast = ["hcrystalball (==0.1.10)", "holidays (<0.14)", "prophet (>=1.0.1)", "statsmodels (>=0.12.2)"]
 vw = ["scikit-learn", "vowpalwabbit (>=8.10.0,<9.0.0)"]
 
@@ -1663,13 +1656,13 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.dev0)"]
 
 [[package]]
 name = "google-auth"
-version = "2.28.1"
+version = "2.28.2"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-auth-2.28.1.tar.gz", hash = "sha256:34fc3046c257cedcf1622fc4b31fc2be7923d9b4d44973d481125ecc50d83885"},
-    {file = "google_auth-2.28.1-py2.py3-none-any.whl", hash = "sha256:25141e2d7a14bfcba945f5e9827f98092716e99482562f15306e5b026e21aa72"},
+    {file = "google-auth-2.28.2.tar.gz", hash = "sha256:80b8b4969aa9ed5938c7828308f20f035bc79f9d8fb8120bf9dc8db20b41ba30"},
+    {file = "google_auth-2.28.2-py2.py3-none-any.whl", hash = "sha256:9fd67bbcd40f16d9d42f950228e9cf02a2ded4ae49198b27432d0cded5a74c38"},
 ]
 
 [package.dependencies]
@@ -1686,36 +1679,54 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
 [[package]]
 name = "google-cloud-functions"
-version = "1.16.1"
+version = "1.16.3"
 description = "Google Cloud Functions API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-functions-1.16.1.tar.gz", hash = "sha256:2bb2443badc60806908eee8427024b225a794f3169b457f6921de803b23c0cbd"},
-    {file = "google_cloud_functions-1.16.1-py2.py3-none-any.whl", hash = "sha256:a1ed368dd7dcc853a0500cf5d5eee20dd4f2155a391d42bbf1d90e68b70f9427"},
+    {file = "google-cloud-functions-1.16.3.tar.gz", hash = "sha256:11bde312c37679bdf73247349044c21586ae23e43fe3475e2cff60bfe6dc9dd7"},
+    {file = "google_cloud_functions-1.16.3-py2.py3-none-any.whl", hash = "sha256:017e997e59516afdab9b4b5d0328e93462ad7b65f426544e8b4e685e9de1f2fd"},
 ]
 
 [package.dependencies]
-google-api-core = {version = ">=1.34.0,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
-google-auth = ">=2.14.1,<3.0.0dev"
+google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
+google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0dev"
 grpc-google-iam-v1 = ">=0.12.4,<1.0.0dev"
 proto-plus = ">=1.22.3,<2.0.0dev"
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
 
 [[package]]
 name = "google-cloud-resource-manager"
-version = "1.12.1"
+version = "1.12.3"
 description = "Google Cloud Resource Manager API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-resource-manager-1.12.1.tar.gz", hash = "sha256:25b3112c984ef6a2569ca7047160b2341c528c70e1d2e72deb99686aa2e167dd"},
-    {file = "google_cloud_resource_manager-1.12.1-py2.py3-none-any.whl", hash = "sha256:6a0b97886998fb076a71a7e9679a1187f6bed97519e0dff13352e7946513d458"},
+    {file = "google-cloud-resource-manager-1.12.3.tar.gz", hash = "sha256:809851824119834e4f2310b2c4f38621c1d16b2bb14d5b9f132e69c79d355e7f"},
+    {file = "google_cloud_resource_manager-1.12.3-py2.py3-none-any.whl", hash = "sha256:92be7d6959927b76d90eafc4028985c37975a46ded5466a018f02e8649e113d4"},
+]
+
+[package.dependencies]
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+
+[[package]]
+name = "google-cloud-secret-manager"
+version = "2.18.3"
+description = "Google Cloud Secret Manager API client library"
+optional = false
+python-versions = ">=3.7"
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-google-auth = ">=2.14.1,<3.0.0dev"
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-protobuf = ["grpcio-tools (>=1.62.0)"]
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 [[package]]
 name = "grpcio-status"
-version = "1.62.0"
+version = "1.62.1"
 description = "Status proto mapping for gRPC"
 optional = false
 python-versions = ">=3.6"
 files = [
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 googleapis-common-protos = ">=1.5.5"
-grpcio = ">=1.62.0"
+grpcio = ">=1.62.1"
 protobuf = ">=4.21.6"
 
 [[package]]
@@ -2233,13 +2244,13 @@ referencing = ">=0.31.0"
 
 [[package]]
 name = "keyring"
-version = "24.3.0"
+version = "24.3.1"
 description = "Store and access your passwords safely."
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -2252,17 +2263,17 @@ SecretStorage = {version = ">=3.2", markers = "sys_platform == \"linux\""}
 [package.extras]
 completion = ["shtab (>=1.1.0)"]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
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 [[package]]
 name = "langchain"
-version = "0.1.8"
+version = "0.1.12"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -2270,9 +2281,10 @@ aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
 dataclasses-json = ">=0.5.7,<0.7"
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-langchain-core = ">=0.1.24,<0.2"
-langsmith = ">=0.1.0,<0.2.0"
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+langchain-core = ">=0.1.31,<0.2.0"
+langchain-text-splitters = ">=0.0.1,<0.1"
+langsmith = ">=0.1.17,<0.2.0"
 numpy = ">=1,<2"
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
@@ -2281,7 +2293,7 @@ SQLAlchemy = ">=1.4,<3"
 tenacity = ">=8.1.0,<9.0.0"
 
 [package.extras]
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 cli = ["typer (>=0.9.0,<0.10.0)"]
 cohere = ["cohere (>=4,<5)"]
@@ -2296,19 +2308,19 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"]
 
 [[package]]
 name = "langchain-community"
-version = "0.0.21"
+version = "0.0.28"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 dataclasses-json = ">=0.5.7,<0.7"
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 langsmith = ">=0.1.0,<0.2.0"
 numpy = ">=1,<2"
 PyYAML = ">=5.3"
@@ -2318,17 +2330,17 @@ tenacity = ">=8.1.0,<9.0.0"
 
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 [[package]]
 name = "langchain-core"
-version = "0.1.25"
+version = "0.1.31"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 [package.dependencies]
@@ -2346,18 +2358,18 @@ extended-testing = ["jinja2 (>=3,<4)"]
 
 [[package]]
 name = "langchain-experimental"
-version = "0.0.52"
+version = "0.0.54"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
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 [package.dependencies]
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-langchain-core = ">=0.1.24,<0.2.0"
+langchain = ">=0.1.12,<0.2.0"
+langchain-core = ">=0.1.31,<0.2.0"
 
 [package.extras]
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@@ -2379,18 +2391,36 @@ numpy = ">=1,<2"
 openai = ">=1.10.0,<2.0.0"
 tiktoken = ">=0.5.2,<0.6.0"
 
+[[package]]
+name = "langchain-text-splitters"
+version = "0.0.1"
+description = "LangChain text splitting utilities"
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = [
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+
+[package.dependencies]
+langchain-core = ">=0.1.28,<0.2.0"
+
+[package.extras]
+extended-testing = ["lxml (>=5.1.0,<6.0.0)"]
+
 [[package]]
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-version = "0.1.5"
+version = "0.1.25"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
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 python-versions = ">=3.8.1,<4.0"
 files = [
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 requests = ">=2,<3"
 
@@ -2715,22 +2745,21 @@ files = [
 
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-lint = ["pre-commit (>=2.4,<4.0)"]
+dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
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 tests = ["pytest", "pytz", "simplejson"]
 
 [[package]]
@@ -2757,67 +2786,67 @@ files = [
 
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+version = "1.0.8"
 description = "MessagePack serializer"
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 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -3119,13 +3148,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.12.0"
+version = "1.14.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -3142,13 +3171,13 @@ datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.22.0"
+version = "1.23.0"
 description = "OpenTelemetry Python API"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3157,52 +3186,50 @@ importlib-metadata = ">=6.0,<7.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.22.0"
+version = "1.23.0"
 description = "OpenTelemetry Protobuf encoding"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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-opentelemetry-proto = "1.22.0"
+opentelemetry-proto = "1.23.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-http"
-version = "1.22.0"
+version = "1.23.0"
 description = "OpenTelemetry Collector Protobuf over HTTP Exporter"
 optional = false
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+python-versions = ">=3.8"
 files = [
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-opentelemetry-proto = "1.22.0"
-opentelemetry-sdk = ">=1.22.0,<1.23.0"
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+opentelemetry-proto = "1.23.0"
+opentelemetry-sdk = ">=1.23.0,<1.24.0"
 requests = ">=2.7,<3.0"
 
 [package.extras]
-test = ["responses (==0.22.0)"]
+test = ["responses (>=0.22.0,<0.25)"]
 
 [[package]]
 name = "opentelemetry-proto"
-version = "1.22.0"
+version = "1.23.0"
 description = "OpenTelemetry Python Proto"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3210,29 +3237,88 @@ protobuf = ">=3.19,<5.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.22.0"
+version = "1.23.0"
 description = "OpenTelemetry Python SDK"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
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-opentelemetry-semantic-conventions = "0.43b0"
+opentelemetry-api = "1.23.0"
+opentelemetry-semantic-conventions = "0.44b0"
 typing-extensions = ">=3.7.4"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.43b0"
+version = "0.44b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+]
+
+[[package]]
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+version = "3.9.15"
+description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
+optional = false
+python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -3309,6 +3395,7 @@ parquet = ["pyarrow (>=10.0.1)"]
 performance = ["bottleneck (>=1.3.6)", "numba (>=0.56.4)", "numexpr (>=2.8.4)"]
 plot = ["matplotlib (>=3.6.3)"]
 postgresql = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "psycopg2 (>=2.9.6)"]
+pyarrow = ["pyarrow (>=10.0.1)"]
 spss = ["pyreadstat (>=1.2.0)"]
 sql-other = ["SQLAlchemy (>=2.0.0)", "adbc-driver-postgresql (>=0.8.0)", "adbc-driver-sqlite (>=0.8.0)"]
 test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
@@ -3439,32 +3526,32 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "pkginfo"
-version = "1.9.6"
+version = "1.10.0"
 description = "Query metadata from sdists / bdists / installed packages."
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.extras]
-testing = ["pytest", "pytest-cov"]
+testing = ["pytest", "pytest-cov", "wheel"]
 
 [[package]]
 name = "platformdirs"
-version = "3.11.0"
+version = "4.2.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"]
+docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
 
 [[package]]
 name = "pluggy"
@@ -3483,49 +3570,49 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "poetry"
-version = "1.7.1"
+version = "1.8.2"
 description = "Python dependency management and packaging made easy."
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
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 [package.dependencies]
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 cleo = ">=2.1.0,<3.0.0"
 crashtest = ">=0.4.1,<0.5.0"
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 installer = ">=0.7.0,<0.8.0"
 keyring = ">=24.0.0,<25.0.0"
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 pkginfo = ">=1.9.4,<2.0.0"
-platformdirs = ">=3.0.0,<4.0.0"
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 pyproject-hooks = ">=1.0.0,<2.0.0"
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 virtualenv = ">=20.23.0,<21.0.0"
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+xattr = {version = ">=1.0.0,<2.0.0", markers = "sys_platform == \"darwin\""}
 
 [[package]]
 name = "poetry-core"
-version = "1.8.1"
+version = "1.9.0"
 description = "Poetry PEP 517 Build Backend"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
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 ]
 
 [[package]]
@@ -3545,13 +3632,13 @@ poetry-core = ">=1.7.0,<2.0.0"
 
 [[package]]
 name = "prediction-market-agent-tooling"
-version = "0.2.6"
+version = "0.5.0"
 description = "Tools to benchmark, deploy and monitor prediction market agents."
 optional = false
 python-versions = ">=3.10,<3.12"
 files = [
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 [package.dependencies]
@@ -3561,6 +3648,7 @@ eth-typing = ">=4.0.0,<5.0.0"
 functions-framework = ">=3.5.0,<4.0.0"
 google-cloud-functions = ">=1.16.0,<2.0.0"
 google-cloud-resource-manager = ">=1.12.0,<2.0.0"
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 isort = ">=5.13.2,<6.0.0"
 langchain-community = ">=0.0.19"
 numpy = ">=1.26.4,<2.0.0"
@@ -3575,6 +3663,9 @@ types-pytz = ">=2024.1.0.20240203,<2025.0.0.0"
 types-requests = ">=2.31.0.20240106,<3.0.0.0"
 web3 = ">=6.15.1,<7.0.0"
 
+[package.extras]
+langchain = ["langchain (>=0.1.9,<0.2.0)", "langchain-openai (>=0.0.8,<0.0.9)"]
+
 [[package]]
 name = "proto-plus"
 version = "1.23.0"
@@ -3625,47 +3716,47 @@ files = [
 
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 docker = "*"
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 pydantic = ">=1.10,<2.6.0 || >2.6.0,<3"
 python-dotenv = "*"
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 blendsearch = ["flaml[blendsearch]"]
 graph = ["matplotlib", "networkx"]
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 lmm = ["pillow", "replicate"]
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 redis = ["redis"]
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 [[package]]
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-version = "13.7.0"
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 ]
 
 [package.dependencies]
@@ -4830,13 +4922,13 @@ sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "streamlit"
-version = "1.31.1"
+version = "1.32.1"
 description = "A faster way to build and share data apps"
 optional = false
 python-versions = ">=3.8, !=3.9.7"
 files = [
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 [package.dependencies]
@@ -4845,7 +4937,6 @@ blinker = ">=1.0.0,<2"
 cachetools = ">=4.0,<6"
 click = ">=7.0,<9"
 gitpython = ">=3.0.7,<3.1.19 || >3.1.19,<4"
-importlib-metadata = ">=1.4,<8"
 numpy = ">=1.19.3,<2"
 packaging = ">=16.8,<24"
 pandas = ">=1.3.0,<3"
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 protobuf = ">=3.20,<5"
 pyarrow = ">=7.0"
 pydeck = ">=0.8.0b4,<1"
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 requests = ">=2.27,<3"
 rich = ">=10.14.0,<14"
 tenacity = ">=8.1.0,<9"
 toml = ">=0.10.1,<2"
 tornado = ">=6.0.3,<7"
 typing-extensions = ">=4.3.0,<5"
-tzlocal = ">=1.1,<6"
-validators = ">=0.2,<1"
 watchdog = {version = ">=2.1.5", markers = "platform_system != \"Darwin\""}
 
 [package.extras]
@@ -4996,13 +5084,13 @@ files = [
 
 [[package]]
 name = "tomlkit"
-version = "0.12.3"
+version = "0.12.4"
 description = "Style preserving TOML library"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [[package]]
@@ -5058,13 +5146,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "trove-classifiers"
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+version = "2024.3.3"
 description = "Canonical source for classifiers on PyPI (pypi.org)."
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 python-versions = "*"
 files = [
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 ]
 
 [[package]]
@@ -5101,13 +5189,13 @@ files = [
 
 [[package]]
 name = "types-requests"
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+version = "2.31.0.20240311"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -5115,13 +5203,13 @@ urllib3 = ">=2"
 
 [[package]]
 name = "typing-extensions"
-version = "4.9.0"
+version = "4.10.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -5150,23 +5238,6 @@ files = [
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-python-versions = ">=3.8"
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-
-[package.dependencies]
-tzdata = {version = "*", markers = "platform_system == \"Windows\""}
-
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-
 [[package]]
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 version = "2.2.1"
@@ -5184,28 +5255,6 @@ h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
-[[package]]
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-description = "Python Data Validation for Humans™"
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-python-versions = ">=3.8"
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-runner = ["tox (>=4.11.1)"]
-sast = ["bandit[toml] (>=1.7.5)"]
-testing = ["pytest (>=7.4.0)"]
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-
 [[package]]
 name = "virtualenv"
 version = "20.25.1"
@@ -5481,87 +5530,76 @@ files = [
 
 [[package]]
 name = "xattr"
-version = "0.10.1"
+version = "1.1.0"
 description = "Python wrapper for extended filesystem attributes"
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
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+    {file = "xattr-1.1.0.tar.gz", hash = "sha256:fecbf3b05043ed3487a28190dec3e4c4d879b2fcec0e30bafd8ec5d4b6043630"},
 ]
 
 [package.dependencies]
-cffi = ">=1.0"
+cffi = ">=1.16.0"
+
+[package.extras]
+test = ["pytest"]
 
 [[package]]
 name = "yarl"
@@ -5668,20 +5706,20 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.17.0"
+version = "3.18.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
-    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
+    {file = "zipp-3.18.0-py3-none-any.whl", hash = "sha256:c1bb803ed69d2cce2373152797064f7e79bc43f0a3748eb494096a867e0ebf79"},
+    {file = "zipp-3.18.0.tar.gz", hash = "sha256:df8d042b02765029a09b157efd8e820451045890acc30f8e37dd2f94a060221f"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = "~3.10.0"
-content-hash = "b048c95c66125788554b431580ab67469d71259c6705e021e9281c91d5ae02b0"
+content-hash = "eff920cc3ab56424cc12c209b31f6bf93102770186b5e7c4c5c3aad467c0225e"
diff --git a/prediction_market_agent/agents/autogen_agent.py b/prediction_market_agent/agents/autogen_agent.py
index 6dc66270..5d61d386 100644
--- a/prediction_market_agent/agents/autogen_agent.py
+++ b/prediction_market_agent/agents/autogen_agent.py
@@ -18,7 +18,7 @@ def get_base_llm_config(self) -> dict[str, t.Any]:
             "config_list": [
                 {
                     "model": "gpt-4",
-                    "api_key": keys.openai_api_key,
+                    "api_key": keys.openai_api_key.get_secret_value(),
                 }
             ],
             "temperature": 0,
diff --git a/prediction_market_agent/agents/langchain_agent.py b/prediction_market_agent/agents/langchain_agent.py
index 997cca27..93bc7705 100644
--- a/prediction_market_agent/agents/langchain_agent.py
+++ b/prediction_market_agent/agents/langchain_agent.py
@@ -12,12 +12,18 @@
 class LangChainAgent(AbstractAgent):
     def __init__(self, llm: Optional[BaseLLM] = None) -> None:
         keys = utils.APIKeys()
-        llm = OpenAI(openai_api_key=keys.openai_api_key) if not llm else llm
+        llm = (
+            OpenAI(openai_api_key=keys.openai_api_key.get_secret_value())
+            if not llm
+            else llm
+        )
         # Can use pre-defined search tool
         # TODO: Tavily tool could give better results
         # https://docs.tavily.com/docs/tavily-api/langchain
         tools = load_tools(
-            ["serpapi", "llm-math"], llm=llm, serpapi_api_key=keys.serp_api_key
+            ["serpapi", "llm-math"],
+            llm=llm,
+            serpapi_api_key=keys.serp_api_key.get_secret_value(),
         )
         self._agent = initialize_agent(
             tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True
diff --git a/prediction_market_agent/tools/betting_strategies.py b/prediction_market_agent/tools/betting_strategies.py
deleted file mode 100644
index 613ab360..00000000
--- a/prediction_market_agent/tools/betting_strategies.py
+++ /dev/null
@@ -1,231 +0,0 @@
-import typing as t
-from decimal import Decimal
-from functools import reduce
-
-import numpy as np
-from prediction_market_agent_tooling.gtypes import Probability, wei_type, xDai
-from prediction_market_agent_tooling.markets.data_models import BetAmount, Currency
-from prediction_market_agent_tooling.markets.markets import MarketType
-from prediction_market_agent_tooling.markets.omen.data_models import OmenMarket
-from prediction_market_agent_tooling.markets.omen.omen import (
-    OmenAgentMarket,
-    omen_calculate_buy_amount,
-)
-from prediction_market_agent_tooling.tools.gnosis_rpc import GNOSIS_RPC_URL
-from prediction_market_agent_tooling.tools.utils import check_not_none
-from prediction_market_agent_tooling.tools.web3_utils import (
-    ONE_XDAI,
-    wei_to_xdai,
-    xdai_to_wei,
-)
-from web3 import Web3
-
-OutcomeIndex = t.Literal[0, 1]
-
-
-def get_tiny_bet(market_type: MarketType) -> BetAmount:
-    if market_type == MarketType.OMEN:
-        return BetAmount(amount=Decimal(0.00001), currency=Currency.xDai)
-    elif market_type == MarketType.MANIFOLD:
-        return BetAmount(amount=Decimal(1), currency=Currency.Mana)
-    else:
-        raise ValueError(f"Unknown market type: {market_type}")
-
-
-def get_market_moving_bet(
-    market: OmenMarket,
-    target_p_yes: Probability,
-    max_iters: int = 100,
-    check_vs_contract: bool = False,  # Disable by default, as it's slow
-    verbose: bool = False,
-) -> t.Tuple[xDai, OutcomeIndex]:
-    """
-    Implements a binary search to determine the bet that will move the market's
-    `p_yes` to that of the target.
-
-    Consider a binary fixed-product market containing `x` and `y` tokens.
-    A trader wishes to aquire `x` tokens by betting an amount `d0`.
-
-    The calculation to determine the number of `x` tokens he acquires, denoted
-    by `dx`, is:
-
-    a_x * a_y = fixed_product
-    na_x = a_x + d0
-    na_y = a_y + d0
-    na_x * na_y = new_product
-    (na_x - dx) * na_y = fixed_product
-    (na_x * na_y) - (dx * na_y) = fixed_product
-    new_product - fixed_product = dx * na_y
-    dx = (new_product - fixed_product) / na_y
-    """
-    market_agent = OmenAgentMarket.from_data_model(market)
-    amounts = market.outcomeTokenAmounts
-    prices = check_not_none(
-        market.outcomeTokenProbabilities, "No probabilities, is marked closed?"
-    )
-    if len(amounts) != 2 or len(prices) != 2:
-        raise ValueError("Only binary markets are supported.")
-
-    fixed_product = reduce(lambda x, y: x * y, amounts, 1)
-    assert np.isclose(float(sum(prices)), 1)
-
-    # For FPMMs, the probability is equal to the marginal price
-    current_p_yes = Probability(prices[0])
-    bet_outcome_index: OutcomeIndex = 0 if target_p_yes > current_p_yes else 1
-
-    min_bet_amount = 0
-    max_bet_amount = 100 * sum(amounts)  # TODO set a better upper bound
-
-    # Binary search for the optimal bet amount
-    for _ in range(max_iters):
-        bet_amount = (min_bet_amount + max_bet_amount) // 2
-        bet_amount_ = (
-            bet_amount
-            * (
-                xdai_to_wei(ONE_XDAI)
-                - check_not_none(market.fee, "No fee for the market.")
-            )
-            / xdai_to_wei(ONE_XDAI)
-        )
-
-        # Initial new amounts are old amounts + equal new amounts for each outcome
-        amounts_diff = bet_amount_
-        new_amounts = [amounts[i] + amounts_diff for i in range(len(amounts))]
-
-        # Now give away tokens at `bet_outcome_index` to restore invariant
-        new_product = reduce(lambda x, y: x * y, new_amounts, 1.0)
-        dx = (new_product - fixed_product) / new_amounts[1 - bet_outcome_index]
-
-        # Sanity check the number of tokens against the contract
-        if check_vs_contract:
-            expected_trade = omen_calculate_buy_amount(
-                web3=Web3(Web3.HTTPProvider(GNOSIS_RPC_URL)),
-                market=market_agent,
-                investment_amount=wei_type(bet_amount),
-                outcome_index=bet_outcome_index,
-            )
-            assert np.isclose(float(expected_trade), dx)
-
-        new_amounts[bet_outcome_index] -= dx
-        # Check that the invariant is restored
-        assert np.isclose(
-            reduce(lambda x, y: x * y, new_amounts, 1.0), float(fixed_product)
-        )
-        new_p_yes = Probability(new_amounts[1] / sum(new_amounts))
-        bet_amount_wei = wei_type(bet_amount)
-        if verbose:
-            outcome = market.get_outcome_str(bet_outcome_index)
-            print(
-                f"Target p_yes: {target_p_yes:.2f}, bet: {wei_to_xdai(bet_amount_wei):.2f}{market_agent.currency} for {outcome}, new p_yes: {new_p_yes:.2f}"
-            )
-        if abs(target_p_yes - new_p_yes) < 0.01:
-            break
-        elif new_p_yes > target_p_yes:
-            if bet_outcome_index == 0:
-                max_bet_amount = bet_amount
-            else:
-                min_bet_amount = bet_amount
-        else:
-            if bet_outcome_index == 0:
-                min_bet_amount = bet_amount
-            else:
-                max_bet_amount = bet_amount
-    return wei_to_xdai(bet_amount_wei), bet_outcome_index
-
-
-def _get_kelly_criterion_bet(
-    x: int, y: int, p: float, c: float, b: int, f: float
-) -> int:
-    """
-    Implments https://en.wikipedia.org/wiki/Kelly_criterion
-
-    Taken from https://github.com/valory-xyz/trader/blob/main/strategies/kelly_criterion/kelly_criterion.py
-
-    ```
-    Licensed under the Apache License, Version 2.0 (the "License");
-    you may not use this file except in compliance with the License.
-    You may obtain a copy of the License at
-
-        http://www.apache.org/licenses/LICENSE-2.0
-
-    Unless required by applicable law or agreed to in writing, software
-    distributed under the License is distributed on an "AS IS" BASIS,
-    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-    See the License for the specific language governing permissions and
-    limitations under the License.
-    ```
-
-    x: Number of tokens in the selected outcome pool
-    y: Number of tokens in the other outcome pool
-    p: Probability of winning
-    c: Confidence
-    b: Bankroll
-    f: Fee fraction
-    """
-    if b == 0:
-        return 0
-    numerator = (
-        -4 * x**2 * y
-        + b * y**2 * p * c * f
-        + 2 * b * x * y * p * c * f
-        + b * x**2 * p * c * f
-        - 2 * b * y**2 * f
-        - 2 * b * x * y * f
-        + (
-            (
-                4 * x**2 * y
-                - b * y**2 * p * c * f
-                - 2 * b * x * y * p * c * f
-                - b * x**2 * p * c * f
-                + 2 * b * y**2 * f
-                + 2 * b * x * y * f
-            )
-            ** 2
-            - (
-                4
-                * (x**2 * f - y**2 * f)
-                * (
-                    -4 * b * x * y**2 * p * c
-                    - 4 * b * x**2 * y * p * c
-                    + 4 * b * x * y**2
-                )
-            )
-        )
-        ** (1 / 2)
-    )
-    denominator = 2 * (x**2 * f - y**2 * f)
-    if denominator == 0:
-        return 0
-    kelly_bet_amount = numerator / denominator
-    return int(kelly_bet_amount)
-
-
-def get_kelly_criterion_bet(
-    market: OmenMarket,
-    estimated_p_yes: Probability,
-    max_bet: xDai,
-) -> t.Tuple[xDai, OutcomeIndex]:
-    if len(market.outcomeTokenAmounts) != 2:
-        raise ValueError("Only binary markets are supported.")
-
-    current_p_yes = check_not_none(
-        market.outcomeTokenProbabilities, "No probabilities, is marked closed?"
-    )[0]
-    outcome_index: OutcomeIndex = 0 if estimated_p_yes > current_p_yes else 1
-    estimated_p_win = estimated_p_yes if outcome_index == 0 else 1 - estimated_p_yes
-
-    kelly_bet_wei = wei_type(
-        _get_kelly_criterion_bet(
-            x=market.outcomeTokenAmounts[outcome_index],
-            y=market.outcomeTokenAmounts[1 - outcome_index],
-            p=estimated_p_win,
-            c=1,  # confidence
-            b=xdai_to_wei(max_bet),  # bankroll, or max bet, in Wei
-            f=(
-                xdai_to_wei(ONE_XDAI)
-                - check_not_none(market.fee, "No fee for the market.")
-            )
-            / xdai_to_wei(ONE_XDAI),  # fee fraction
-        )
-    )
-    return wei_to_xdai(kelly_bet_wei), outcome_index
diff --git a/prediction_market_agent/tools/google_search.py b/prediction_market_agent/tools/google_search.py
index edc6585e..47b86d08 100644
--- a/prediction_market_agent/tools/google_search.py
+++ b/prediction_market_agent/tools/google_search.py
@@ -4,7 +4,11 @@
 
 
 def google_search(query: str) -> list[str]:
-    params = {"q": query, "api_key": utils.APIKeys().serp_api_key, "num": 4}
+    params = {
+        "q": query,
+        "api_key": utils.APIKeys().serp_api_key.get_secret_value(),
+        "num": 4,
+    }
     search = serpapi.GoogleSearch(params)
     urls = [result["link"] for result in search.get_dict()["organic_results"]]
     return urls
diff --git a/prediction_market_agent/utils.py b/prediction_market_agent/utils.py
index 570c580c..4ed88513 100644
--- a/prediction_market_agent/utils.py
+++ b/prediction_market_agent/utils.py
@@ -5,20 +5,21 @@
     check_not_none,
     should_not_happen,
 )
+from pydantic import SecretStr
 
 
 class APIKeys(APIKeysBase):
-    SERP_API_KEY: t.Optional[str] = None
-    OPENAI_API_KEY: t.Optional[str] = None
+    SERP_API_KEY: t.Optional[SecretStr] = None
+    OPENAI_API_KEY: t.Optional[SecretStr] = None
 
     @property
-    def serp_api_key(self) -> str:
+    def serp_api_key(self) -> SecretStr:
         return check_not_none(
             self.SERP_API_KEY, "SERP_API_KEY missing in the environment."
         )
 
     @property
-    def openai_api_key(self) -> str:
+    def openai_api_key(self) -> SecretStr:
         return check_not_none(
             self.OPENAI_API_KEY, "OPENAI_API_KEY missing in the environment."
         )
diff --git a/pyproject.toml b/pyproject.toml
index 3eb4ee58..cd5ea829 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -35,7 +35,7 @@ poetry = "^1.7.1"
 poetry-plugin-export = "^1.6.0"
 functions-framework = "^3.5.0"
 cron-validator = "^1.0.8"
-prediction-market-agent-tooling = "0.2.6"
+prediction-market-agent-tooling = "^0.5.0"
 pydantic-settings = "^2.1.0"
 autoflake = "^2.2.1"
 isort = "^5.13.2"
diff --git a/tests/tools/test_betting_strategies.py b/tests/tools/test_betting_strategies.py
deleted file mode 100644
index 8ca9dc4f..00000000
--- a/tests/tools/test_betting_strategies.py
+++ /dev/null
@@ -1,82 +0,0 @@
-import numpy as np
-import pytest
-from prediction_market_agent_tooling.gtypes import (
-    HexAddress,
-    HexStr,
-    OmenOutcomeToken,
-    Probability,
-    Wei,
-    usd_type,
-    wei_type,
-    xDai,
-    xdai_type,
-)
-from prediction_market_agent_tooling.markets.omen import omen
-
-from prediction_market_agent.tools.betting_strategies import (
-    get_kelly_criterion_bet,
-    get_market_moving_bet,
-)
-
-TEST_OMEN_MARKET = omen.OmenMarket(
-    id=HexAddress(HexStr("0x76a7a3487f85390dc568f3fce01e0a649cb39651")),
-    title="Will Plex launch a store for movies and TV shows by 26 January 2024?",
-    collateralVolume=Wei(4369016776639073062),
-    usdVolume=usd_type("4.369023756584789670441178585394842"),
-    collateralToken=HexAddress(HexStr("0xe91d153e0b41518a2ce8dd3d7944fa863463a97d")),
-    outcomes=["Yes", "No"],
-    outcomeTokenAmounts=[
-        OmenOutcomeToken(7277347438897016099),
-        OmenOutcomeToken(13741270543921756242),
-    ],
-    outcomeTokenMarginalPrices=[
-        xdai_type("0.6537666061181695741160552853310822"),
-        xdai_type("0.3462333938818304258839447146689178"),
-    ],
-    fee=wei_type(20000000000000000),
-)
-
-
-@pytest.mark.parametrize(
-    "wanted_p_yes_on_the_market, expected_buying_xdai_amount, expected_buying_outcome",
-    [
-        (Probability(0.1), xdai_type(25.32), "No"),
-        (Probability(0.9), xdai_type(18.1), "Yes"),
-    ],
-)
-def test_get_market_moving_bet_0(
-    wanted_p_yes_on_the_market: Probability,
-    expected_buying_xdai_amount: xDai,
-    expected_buying_outcome: str,
-) -> None:
-    xdai_amount, outcome_index = get_market_moving_bet(
-        market=TEST_OMEN_MARKET,
-        target_p_yes=wanted_p_yes_on_the_market,
-        verbose=True,
-    )
-    assert np.isclose(
-        float(xdai_amount),
-        float(expected_buying_xdai_amount),
-        atol=2.0,  # We don't expect it to be 100% accurate, but close enough.
-    ), f"To move this martket to ~{wanted_p_yes_on_the_market}% for yes, the amount should be {expected_buying_xdai_amount}xDai, according to aiomen website."
-    assert outcome_index == TEST_OMEN_MARKET.outcomes.index(
-        expected_buying_outcome
-    ), f"The buying outcome index should `{expected_buying_outcome}`."
-
-
-@pytest.mark.parametrize(
-    "est_p_yes, expected_outcome",
-    [
-        (Probability(0.1), "No"),
-        (Probability(0.9), "Yes"),
-    ],
-)
-def test_kelly_criterion_bet_0(est_p_yes: Probability, expected_outcome: str) -> None:
-    xdai_amount, outcome_index = get_kelly_criterion_bet(
-        market=TEST_OMEN_MARKET,
-        estimated_p_yes=est_p_yes,
-        max_bet=xdai_type(10),  # This significantly changes the outcome.
-    )
-    # Kelly estimates the best bet for maximizing the expected value of the logarithm of the wealth.
-    # We don't know the real best xdai_amount, but at least we know which outcome index makes sense.
-    assert outcome_index == TEST_OMEN_MARKET.outcomes.index(expected_outcome)