diff --git a/poetry.lock b/poetry.lock
index 21a447f4..ddad64f6 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2282,13 +2282,13 @@ test = ["pytest (>=7.0.0)", "pytest-xdist (>=2.4.0)"]
 
 [[package]]
 name = "eth-utils"
-version = "2.3.1"
+version = "2.3.2"
 description = "eth-utils: Common utility functions for python code that interacts with Ethereum"
 optional = false
-python-versions = ">=3.7,<4"
+python-versions = "<4,>=3.7"
 files = [
-    {file = "eth-utils-2.3.1.tar.gz", hash = "sha256:56a969b0536d4969dcb27e580521de35abf2dbed8b1bf072b5c80770c4324e27"},
-    {file = "eth_utils-2.3.1-py3-none-any.whl", hash = "sha256:614eedc5ffcaf4e6708ca39e23b12bd69526a312068c1170c773bd1307d13972"},
+    {file = "eth_utils-2.3.2-py3-none-any.whl", hash = "sha256:4470be372674a25b8440b69cb35bda634a079876930853814ea307248c3d198b"},
+    {file = "eth_utils-2.3.2.tar.gz", hash = "sha256:1986d704b29202386c9bc4b27b948a134320c11c8104c45ca367e4663ae7d10e"},
 ]
 
 [package.dependencies]
@@ -2298,10 +2298,10 @@ eth-typing = ">=3.0.0"
 toolz = {version = ">0.8.2", markers = "implementation_name == \"pypy\""}
 
 [package.extras]
-dev = ["black (>=23)", "build (>=0.9.0)", "bumpversion (>=0.5.3)", "eth-hash[pycryptodome]", "flake8 (==3.8.3)", "hypothesis (>=4.43.0)", "ipython", "isort (>=5.11.0)", "mypy (==0.971)", "pydocstyle (>=5.0.0)", "pytest (>=7.0.0)", "pytest-watch (>=4.1.0)", "pytest-xdist (>=2.4.0)", "sphinx (>=5.0.0)", "sphinx-rtd-theme (>=1.0.0)", "towncrier (>=21,<22)", "tox (>=4.0.0)", "twine", "types-setuptools", "wheel"]
+dev = ["black (>=23)", "build (>=0.9.0)", "bumpversion (>=0.5.3)", "eth-hash[pycryptodome]", "flake8 (==3.8.3)", "hypothesis (>=4.43.0)", "ipython", "isort (>=5.11.0)", "mypy (==0.991)", "pydocstyle (>=5.0.0)", "pytest (>=7.0.0)", "pytest-watch (>=4.1.0)", "pytest-xdist (>=2.4.0)", "sphinx (>=5.0.0)", "sphinx-rtd-theme (>=1.0.0)", "towncrier (>=21,<22)", "tox (>=4.0.0)", "twine", "types-setuptools", "wheel"]
 docs = ["sphinx (>=5.0.0)", "sphinx-rtd-theme (>=1.0.0)", "towncrier (>=21,<22)"]
-lint = ["black (>=23)", "flake8 (==3.8.3)", "isort (>=5.11.0)", "mypy (==0.971)", "pydocstyle (>=5.0.0)", "types-setuptools"]
-test = ["hypothesis (>=4.43.0)", "mypy (==0.971)", "pytest (>=7.0.0)", "pytest-xdist (>=2.4.0)", "types-setuptools"]
+lint = ["black (>=23)", "flake8 (==3.8.3)", "isort (>=5.11.0)", "mypy (==0.991)", "pydocstyle (>=5.0.0)", "types-setuptools"]
+test = ["hypothesis (>=4.43.0)", "mypy (==0.991)", "pytest (>=7.0.0)", "pytest-xdist (>=2.4.0)", "types-setuptools"]
 
 [[package]]
 name = "exceptiongroup"
@@ -5175,13 +5175,13 @@ websocket-client = ">=0.32.0,<1"
 
 [[package]]
 name = "mem0ai"
-version = "0.1.22"
+version = "0.1.23"
 description = "Long-term memory for AI Agents"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "mem0ai-0.1.22-py3-none-any.whl", hash = "sha256:c783e15131c16a0d91e44e30195c1eeae9c36468de40006d5e42cf4516059855"},
-    {file = "mem0ai-0.1.22.tar.gz", hash = "sha256:d01aa028763719bd0ede2de4602121a7c3bf023f46112cd50cc9169140e11be2"},
+    {file = "mem0ai-0.1.23-py3-none-any.whl", hash = "sha256:25c0a4a3c5804c3f5b83a5e83a741461e342b572136e5e91a3868f860cc04209"},
+    {file = "mem0ai-0.1.23.tar.gz", hash = "sha256:71473dd8488788403e1c65ca29f1ac2096832e421805d42338241c37d9ff20ef"},
 ]
 
 [package.dependencies]
@@ -6011,13 +6011,13 @@ web3 = ">=6.0.0,<7"
 
 [[package]]
 name = "openai"
-version = "1.52.1"
+version = "1.52.2"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
-    {file = "openai-1.52.1-py3-none-any.whl", hash = "sha256:f23e83df5ba04ee0e82c8562571e8cb596cd88f9a84ab783e6c6259e5ffbfb4a"},
-    {file = "openai-1.52.1.tar.gz", hash = "sha256:383b96c7e937cbec23cad5bf5718085381e4313ca33c5c5896b54f8e1b19d144"},
+    {file = "openai-1.52.2-py3-none-any.whl", hash = "sha256:57e9e37bc407f39bb6ec3a27d7e8fb9728b2779936daa1fcf95df17d3edfaccc"},
+    {file = "openai-1.52.2.tar.gz", hash = "sha256:87b7d0f69d85f5641678d414b7ee3082363647a5c66a462ed7f3ccb59582da0d"},
 ]
 
 [package.dependencies]
@@ -6864,63 +6864,59 @@ name = "prediction-market-agent-tooling"
 version = "0.55.0"
 description = "Tools to benchmark, deploy and monitor prediction market agents."
 optional = false
-python-versions = ">=3.10,<3.12"
-files = []
-develop = false
+python-versions = "<3.12,>=3.10"
+files = [
+    {file = "prediction_market_agent_tooling-0.55.0-py3-none-any.whl", hash = "sha256:f799867be52db9379e24b7164dac85298b0b6d06d0dc51802ab20ee62d47355e"},
+    {file = "prediction_market_agent_tooling-0.55.0.tar.gz", hash = "sha256:ee6e97b1f35ca43f53364ae24a08edb032bd881a400be270197198506bfcef9d"},
+]
 
 [package.dependencies]
-autoflake = "^2.2.1"
+autoflake = ">=2.2.1,<3.0.0"
 base58 = ">=1.0.2,<2.0"
-cron-validator = "^1.0.8"
+cron-validator = ">=1.0.8,<2.0.0"
 eth-account = ">=0.8.0,<0.12.0"
-eth-typing = "^3.0.0"
-functions-framework = "^3.5.0"
-google-api-python-client = {version = "2.95.0", optional = true}
-google-cloud-functions = "^1.16.0"
-google-cloud-resource-manager = "^1.12.0"
-google-cloud-secret-manager = "^2.18.2"
-hishel = "^0.0.31"
-isort = "^5.13.2"
-langchain = {version = "^0.2.6", optional = true}
+eth-typing = ">=3.0.0,<4.0.0"
+functions-framework = ">=3.5.0,<4.0.0"
+google-api-python-client = {version = "2.95.0", optional = true, markers = "extra == \"google\""}
+google-cloud-functions = ">=1.16.0,<2.0.0"
+google-cloud-resource-manager = ">=1.12.0,<2.0.0"
+google-cloud-secret-manager = ">=2.18.2,<3.0.0"
+hishel = ">=0.0.31,<0.0.32"
+isort = ">=5.13.2,<6.0.0"
+langchain = {version = ">=0.2.6,<0.3.0", optional = true, markers = "extra == \"langchain\""}
 langchain-community = ">=0.0.19"
-langchain-openai = {version = "^0.1.0", optional = true}
-langfuse = "^2.42.0"
-loguru = "^0.7.2"
-loky = "^3.4.1"
-numpy = "^1.26.4"
-pinatapy-vourhey = "^0.2.0"
-prompt-toolkit = "^3.0.43"
-psycopg2-binary = "^2.9.9"
-pydantic = "^2.6.1"
-pydantic-settings = "^2.4.0"
-pymongo = "^4.8.0"
-python-dateutil = "^2.9.0.post0"
-safe-cli = "^1.0.0"
-safe-eth-py = "^6.0.0b14"
-scikit-learn = "^1.3.1"
-sqlmodel = "^0.0.22"
-streamlit = "^1.31.0"
-subgrounds = "^1.9.1"
-tabulate = "^0.9.0"
-tavily-python = "^0.5.0"
-tqdm = "^4.66.2"
+langchain-openai = {version = ">=0.1.0,<0.2.0", optional = true, markers = "extra == \"langchain\""}
+langfuse = ">=2.42.0,<3.0.0"
+loguru = ">=0.7.2,<0.8.0"
+loky = ">=3.4.1,<4.0.0"
+numpy = ">=1.26.4,<2.0.0"
+pinatapy-vourhey = ">=0.2.0,<0.3.0"
+prompt-toolkit = ">=3.0.43,<4.0.0"
+psycopg2-binary = ">=2.9.9,<3.0.0"
+pydantic = ">=2.6.1,<3.0.0"
+pydantic-settings = ">=2.4.0,<3.0.0"
+pymongo = ">=4.8.0,<5.0.0"
+python-dateutil = ">=2.9.0.post0,<3.0.0"
+safe-cli = ">=1.0.0,<2.0.0"
+safe-eth-py = ">=6.0.0b14,<7.0.0"
+scikit-learn = ">=1.3.1,<2.0.0"
+sqlmodel = ">=0.0.22,<0.0.23"
+streamlit = ">=1.31.0,<2.0.0"
+subgrounds = ">=1.9.1,<2.0.0"
+tabulate = ">=0.9.0,<0.10.0"
+tavily-python = ">=0.5.0,<0.6.0"
+tqdm = ">=4.66.2,<5.0.0"
 typer = ">=0.9.0,<1.0.0"
-types-python-dateutil = "^2.9.0.20240906"
-types-pytz = "^2024.1.0.20240203"
-types-requests = "^2.31.0.0"
-web3 = "^6.15.1"
+types-python-dateutil = ">=2.9.0.20240906,<3.0.0.0"
+types-pytz = ">=2024.1.0.20240203,<2025.0.0.0"
+types-requests = ">=2.31.0.0,<3.0.0.0"
+web3 = ">=6.15.1,<7.0.0"
 
 [package.extras]
 google = ["google-api-python-client (==2.95.0)"]
 langchain = ["langchain (>=0.2.6,<0.3.0)", "langchain-openai (>=0.1.0,<0.2.0)"]
 openai = ["openai (>=1.0.0,<2.0.0)"]
 
-[package.source]
-type = "git"
-url = "https://github.com/gnosis/prediction-market-agent-tooling.git"
-reference = "3101ea542185c16befc0464f674eac854b40a700"
-resolved_reference = "3101ea542185c16befc0464f674eac854b40a700"
-
 [[package]]
 name = "prediction-prophet"
 version = "0.1.10"
@@ -6945,7 +6941,7 @@ matplotlib = "^3.8.3"
 memory-profiler = "^0.61.0"
 openai = "^1.10.0"
 pandas = "^2.1.1"
-prediction-market-agent-tooling = {git = "https://github.com/gnosis/prediction-market-agent-tooling.git", rev = "3101ea542185c16befc0464f674eac854b40a700", extras = ["google", "langchain"]}
+prediction-market-agent-tooling = {version = ">=0.55.0,<1", extras = ["google", "langchain"]}
 pyautogen = "^0.2.19"
 pysqlite3-binary = {version = "^0.5.2.post3", markers = "sys_platform == \"linux\""}
 python-dateutil = "^2.9.0.post0"
@@ -6964,8 +6960,8 @@ watchdog = "^3.0.0"
 [package.source]
 type = "git"
 url = "https://github.com/agentcoinorg/predictionprophet.git"
-reference = "693bfef2f9392a9af443433626f43cfeedaf1466"
-resolved_reference = "693bfef2f9392a9af443433626f43cfeedaf1466"
+reference = "5a7e9e4300d53acf32e09bd4b995c1722c3a7131"
+resolved_reference = "5a7e9e4300d53acf32e09bd4b995c1722c3a7131"
 
 [[package]]
 name = "preshed"
@@ -7170,13 +7166,13 @@ files = [
 
 [[package]]
 name = "proto-plus"
-version = "1.24.0"
+version = "1.25.0"
 description = "Beautiful, Pythonic protocol buffers."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "proto-plus-1.24.0.tar.gz", hash = "sha256:30b72a5ecafe4406b0d339db35b56c4059064e69227b8c3bda7462397f966445"},
-    {file = "proto_plus-1.24.0-py3-none-any.whl", hash = "sha256:402576830425e5f6ce4c2a6702400ac79897dab0b4343821aa5188b0fab81a12"},
+    {file = "proto_plus-1.25.0-py3-none-any.whl", hash = "sha256:c91fc4a65074ade8e458e95ef8bac34d4008daa7cce4a12d6707066fca648961"},
+    {file = "proto_plus-1.25.0.tar.gz", hash = "sha256:fbb17f57f7bd05a68b7707e745e26528b0b3c34e378db91eef93912c54982d91"},
 ]
 
 [package.dependencies]
@@ -10087,13 +10083,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
-version = "4.45.2"
+version = "4.46.0"
 description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "transformers-4.45.2-py3-none-any.whl", hash = "sha256:c551b33660cfc815bae1f9f097ecfd1e65be623f13c6ee0dda372bd881460210"},
-    {file = "transformers-4.45.2.tar.gz", hash = "sha256:72bc390f6b203892561f05f86bbfaa0e234aab8e927a83e62b9d92ea7e3ae101"},
+    {file = "transformers-4.46.0-py3-none-any.whl", hash = "sha256:e161268ae8bee315eb9e9b4c0b27f1bd6980f91e0fc292d75249193d339704c0"},
+    {file = "transformers-4.46.0.tar.gz", hash = "sha256:3a9e2eb537094db11c3652334d281afa4766c0e5091c4dcdb454e9921bb0d2b7"},
 ]
 
 [package.dependencies]
@@ -10111,13 +10107,13 @@ tqdm = ">=4.27"
 [package.extras]
 accelerate = ["accelerate (>=0.26.0)"]
 agents = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "datasets (!=2.5.0)", "diffusers", "opencv-python", "sentencepiece (>=0.1.91,!=0.1.92)", "torch"]
-all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision"]
+all = ["Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "codecarbon (==1.2.0)", "flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune] (>=2.7.0)", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision"]
 audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
 benchmark = ["optimum-benchmark (>=0.3.0)"]
 codecarbon = ["codecarbon (==1.2.0)"]
 deepspeed = ["accelerate (>=0.26.0)", "deepspeed (>=0.9.3)"]
 deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.26.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "nltk (<=3.8.1)", "optuna", "parameterized", "protobuf", "psutil", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
-dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
+dev = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "av (==9.2.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "scipy (<1.13.0)", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
 dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "beautifulsoup4", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1,<0.14.0)", "libcst", "librosa", "nltk (<=3.8.1)", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>2.9,<2.16)", "tensorflow-text (<2.16)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.20,<0.21)", "urllib3 (<2.0.0)"]
 dev-torch = ["GitPython (<3.1.19)", "Pillow (>=10.0.1,<=15.0)", "accelerate (>=0.26.0)", "beautifulsoup4", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "libcst", "librosa", "nltk (<=3.8.1)", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pydantic", "pytest (>=7.2.0,<8.0.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "ray[tune] (>=2.7.0)", "rhoknp (>=1.1.0,<1.3.1)", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.5.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm (<=0.9.16)", "tokenizers (>=0.20,<0.21)", "torch", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
 flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)", "scipy (<1.13.0)"]
@@ -10151,7 +10147,7 @@ torch = ["accelerate (>=0.26.0)", "torch"]
 torch-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
 torch-vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
 torchhub = ["filelock", "huggingface-hub (>=0.23.2,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.20,<0.21)", "torch", "tqdm (>=4.27)"]
-video = ["av (==9.2.0)", "decord (==0.6.0)"]
+video = ["av (==9.2.0)"]
 vision = ["Pillow (>=10.0.1,<=15.0)"]
 
 [[package]]
@@ -11080,4 +11076,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = "~3.10.0"
-content-hash = "4a8cb97db587c6bdb3cf82457ae2cfc20a11990ba700e705666ba5d1d6513f0b"
+content-hash = "be881837b401244d41efac87cfe56921db248ef994e096cbeea58ffb30d2ca45"
diff --git a/pyproject.toml b/pyproject.toml
index 0d6e3f90..51934d73 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 = { git = "https://github.com/gnosis/prediction-market-agent-tooling.git", rev = "3101ea542185c16befc0464f674eac854b40a700", extras = ["langchain", "google"] }
+prediction-market-agent-tooling = { version = "^0.55.0", extras = ["langchain", "google"] }
 pydantic-settings = "^2.1.0"
 autoflake = "^2.2.1"
 isort = "^5.13.2"
@@ -51,7 +51,7 @@ tweepy = "^4.14.0"
 langchain-pinecone = "^0.1.1"
 pinatapy-vourhey = "^0.2.0"
 plotly = "^5.22.0"
-prediction-prophet = { git = "https://github.com/agentcoinorg/predictionprophet.git", rev = "693bfef2f9392a9af443433626f43cfeedaf1466" }
+prediction-prophet = { git = "https://github.com/agentcoinorg/predictionprophet.git", rev = "5a7e9e4300d53acf32e09bd4b995c1722c3a7131" }
 transformers = "^4.43.3"
 openfactverification-kongzii = "^0.2.0"