From bf36e05de97a3253c7c2c731325b7cad4e2e22ca Mon Sep 17 00:00:00 2001
From: evangriffiths <egriffiths93@gmail.com>
Date: Fri, 27 Sep 2024 09:33:59 +0100
Subject: [PATCH 1/3] Add option to return reasoning with prediction

---
 poetry.lock                              | 2517 ++++++++++++----------
 prediction_prophet/app.py                |    2 +
 prediction_prophet/autonolas/research.py |   13 +-
 prediction_prophet/benchmark/agents.py   |    5 +
 4 files changed, 1341 insertions(+), 1196 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 651b8e49..21e9c9fc 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -13,102 +13,102 @@ files = [
 
 [[package]]
 name = "aiohttp"
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+version = "3.10.6"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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+    {file = "aiohttp-3.10.6-cp39-cp39-win32.whl", hash = "sha256:e2e7d5591ea868d5ec82b90bbeb366a198715672841d46281b623e23079593db"},
+    {file = "aiohttp-3.10.6-cp39-cp39-win_amd64.whl", hash = "sha256:b504c08c45623bf5c7ca41be380156d925f00199b3970efd758aef4a77645feb"},
+    {file = "aiohttp-3.10.6.tar.gz", hash = "sha256:d2578ef941be0c2ba58f6f421a703527d08427237ed45ecb091fed6f83305336"},
 ]
 
 [package.dependencies]
@@ -118,7 +118,7 @@ async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
-yarl = ">=1.0,<2.0"
+yarl = ">=1.12.0,<2.0"
 
 [package.extras]
 speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
@@ -173,13 +173,13 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.4.0"
+version = "4.6.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.4.0-py3-none-any.whl", hash = "sha256:c1b2d8f46a8a812513012e1107cb0e68c17159a7a594208005a57dc776e1bdc7"},
-    {file = "anyio-4.4.0.tar.gz", hash = "sha256:5aadc6a1bbb7cdb0bede386cac5e2940f5e2ff3aa20277e991cf028e0585ce94"},
+    {file = "anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a"},
+    {file = "anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb"},
 ]
 
 [package.dependencies]
@@ -189,19 +189,19 @@ sniffio = ">=1.1"
 typing-extensions = {version = ">=4.1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
-trio = ["trio (>=0.23)"]
+doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-theme"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.21.0b1)"]
+trio = ["trio (>=0.26.1)"]
 
 [[package]]
 name = "art"
-version = "6.2"
+version = "6.3"
 description = "ASCII Art Library For Python"
 optional = false
-python-versions = ">=3.5"
+python-versions = ">=3.6"
 files = [
-    {file = "art-6.2-py3-none-any.whl", hash = "sha256:d632d1d3f5fabcaf8673abe934b51df0017bc914d106e89d45ae4ebef0e3149a"},
-    {file = "art-6.2.tar.gz", hash = "sha256:506a0c4f261289a0e0d088de7beffcb1835078c4e44b0c5353bdaf47b490e76f"},
+    {file = "art-6.3-py3-none-any.whl", hash = "sha256:707ccb5d9c1da33225385e77fbc93a52bedf73a3cb288939979ed709226c4c27"},
+    {file = "art-6.3.tar.gz", hash = "sha256:0fbc28864583ba54bcdc17ec24ef6c51a1fc81729a5c68d9b38658bc0afbc598"},
 ]
 
 [package.extras]
@@ -543,13 +543,13 @@ numpy = {version = ">=1.19.0", markers = "python_version >= \"3.9\""}
 
 [[package]]
 name = "build"
-version = "1.2.1"
+version = "1.2.2"
 description = "A simple, correct Python build frontend"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "build-1.2.1-py3-none-any.whl", hash = "sha256:75e10f767a433d9a86e50d83f418e83efc18ede923ee5ff7df93b6cb0306c5d4"},
-    {file = "build-1.2.1.tar.gz", hash = "sha256:526263f4870c26f26c433545579475377b2b7588b6f1eac76a001e873ae3e19d"},
+    {file = "build-1.2.2-py3-none-any.whl", hash = "sha256:277ccc71619d98afdd841a0e96ac9fe1593b823af481d3b0cea748e8894e0613"},
+    {file = "build-1.2.2.tar.gz", hash = "sha256:119b2fb462adef986483438377a13b2f42064a2a3a4161f24a0cca698a07ac8c"},
 ]
 
 [package.dependencies]
@@ -601,13 +601,13 @@ files = [
 
 [[package]]
 name = "certifi"
-version = "2024.7.4"
+version = "2024.8.30"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"},
-    {file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"},
+    {file = "certifi-2024.8.30-py3-none-any.whl", hash = "sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8"},
+    {file = "certifi-2024.8.30.tar.gz", hash = "sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9"},
 ]
 
 [[package]]
@@ -914,13 +914,13 @@ pydantic = ["pydantic (>=1.0.0,<3.0)"]
 
 [[package]]
 name = "cloudpathlib"
-version = "0.18.1"
+version = "0.19.0"
 description = "pathlib-style classes for cloud storage services."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "cloudpathlib-0.18.1-py3-none-any.whl", hash = "sha256:20efd5d772c75df91bb2ac52e053be53fd9000f5e9755fd92375a2a9fe6005e0"},
-    {file = "cloudpathlib-0.18.1.tar.gz", hash = "sha256:ffd22f324bfbf9c3f2bc1bec6e8372cb372a0feef17c7f2b48030cd6810ea859"},
+    {file = "cloudpathlib-0.19.0-py3-none-any.whl", hash = "sha256:eb7758648812d5906af44f14cf9a6a64f687342a6f547a1c20deb7241d769dcb"},
+    {file = "cloudpathlib-0.19.0.tar.gz", hash = "sha256:919edbfd9a4e935d2423da210b143df89cb0ec6d378366a0dffa2e9fd0664fe8"},
 ]
 
 [package.dependencies]
@@ -928,9 +928,20 @@ typing_extensions = {version = ">4", markers = "python_version < \"3.11\""}
 
 [package.extras]
 all = ["cloudpathlib[azure]", "cloudpathlib[gs]", "cloudpathlib[s3]"]
-azure = ["azure-storage-blob (>=12)"]
+azure = ["azure-storage-blob (>=12)", "azure-storage-file-datalake (>=12)"]
 gs = ["google-cloud-storage"]
-s3 = ["boto3"]
+s3 = ["boto3 (>=1.34.0)"]
+
+[[package]]
+name = "cloudpickle"
+version = "3.0.0"
+description = "Pickler class to extend the standard pickle.Pickler functionality"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "cloudpickle-3.0.0-py3-none-any.whl", hash = "sha256:246ee7d0c295602a036e86369c77fecda4ab17b506496730f2f576d9016fd9c7"},
+    {file = "cloudpickle-3.0.0.tar.gz", hash = "sha256:996d9a482c6fb4f33c1a35335cf8afd065d2a56e973270364840712d9131a882"},
+]
 
 [[package]]
 name = "colorama"
@@ -1360,6 +1371,16 @@ docs = ["myst-parser (==0.18.0)", "sphinx (==5.1.1)"]
 ssh = ["paramiko (>=2.4.3)"]
 websockets = ["websocket-client (>=1.3.0)"]
 
+[[package]]
+name = "durationpy"
+version = "0.7"
+description = "Module for converting between datetime.timedelta and Go's Duration strings."
+optional = false
+python-versions = "*"
+files = [
+    {file = "durationpy-0.7.tar.gz", hash = "sha256:8447c43df4f1a0b434e70c15a38d77f5c9bd17284bfc1ff1d430f233d5083732"},
+]
+
 [[package]]
 name = "en-core-web-md"
 version = "3.7.1"
@@ -1588,13 +1609,13 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "fastapi"
-version = "0.112.2"
+version = "0.115.0"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fastapi-0.112.2-py3-none-any.whl", hash = "sha256:db84b470bd0e2b1075942231e90e3577e12a903c4dc8696f0d206a7904a7af1c"},
-    {file = "fastapi-0.112.2.tar.gz", hash = "sha256:3d4729c038414d5193840706907a41839d839523da6ed0c2811f1168cac1798c"},
+    {file = "fastapi-0.115.0-py3-none-any.whl", hash = "sha256:17ea427674467486e997206a5ab25760f6b09e069f099b96f5b55a32fb6f1631"},
+    {file = "fastapi-0.115.0.tar.gz", hash = "sha256:f93b4ca3529a8ebc6fc3fcf710e5efa8de3df9b41570958abf1d97d843138004"},
 ]
 
 [package.dependencies]
@@ -1608,29 +1629,29 @@ standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "htt
 
 [[package]]
 name = "filelock"
-version = "3.15.4"
+version = "3.16.1"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "filelock-3.15.4-py3-none-any.whl", hash = "sha256:6ca1fffae96225dab4c6eaf1c4f4f28cd2568d3ec2a44e15a08520504de468e7"},
-    {file = "filelock-3.15.4.tar.gz", hash = "sha256:2207938cbc1844345cb01a5a95524dae30f0ce089eba5b00378295a17e3e90cb"},
+    {file = "filelock-3.16.1-py3-none-any.whl", hash = "sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
+    {file = "filelock-3.16.1.tar.gz", hash = "sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
 ]
 
 [package.extras]
-docs = ["furo (>=2023.9.10)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
-testing = ["covdefaults (>=2.3)", "coverage (>=7.3.2)", "diff-cover (>=8.0.1)", "pytest (>=7.4.3)", "pytest-asyncio (>=0.21)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)", "pytest-timeout (>=2.2)", "virtualenv (>=20.26.2)"]
-typing = ["typing-extensions (>=4.8)"]
+docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints (>=2.4.1)"]
+testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)", "pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
+typing = ["typing-extensions (>=4.12.2)"]
 
 [[package]]
 name = "flaml"
-version = "2.2.0"
+version = "2.3.1"
 description = "A fast library for automated machine learning and tuning"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
-    {file = "FLAML-2.2.0-py3-none-any.whl", hash = "sha256:eb7429801879f66901ec13892ea21a914e3a5a094151b621a924e554637ec4a4"},
-    {file = "flaml-2.2.0.tar.gz", hash = "sha256:edf6bc2b5dda66e035d26048e8e181af8f5a827feffa138e67e712989c939359"},
+    {file = "FLAML-2.3.1-py3-none-any.whl", hash = "sha256:c633c73bcb4e0ec56d7ccd1db9577c40ccf8247455a51868da2a2b93795bb26a"},
+    {file = "flaml-2.3.1.tar.gz", hash = "sha256:0349f2b831db27e8f5ae7aa72a221bca552a29db9b9cce8e7ce8f8a0e5f8f207"},
 ]
 
 [package.dependencies]
@@ -1645,9 +1666,9 @@ benchmark = ["catboost (>=0.26)", "pandas (==1.1.4)", "psutil (==5.8.0)", "xgboo
 blendsearch = ["optuna (>=2.8.0,<=3.6.1)", "packaging"]
 catboost = ["catboost (>=0.26,<1.2)", "catboost (>=0.26,<=1.2.5)"]
 forecast = ["hcrystalball (==0.1.10)", "holidays (<0.14)", "prophet (>=1.0.1)", "pytorch-forecasting (>=0.9.0)", "pytorch-lightning (==1.9.0)", "statsmodels (>=0.12.2)", "tensorboardX (==2.6)"]
-hf = ["datasets", "nltk", "rouge-score", "seqeval", "transformers[torch] (==4.26)"]
+hf = ["datasets", "nltk (<=3.8.1)", "rouge-score", "seqeval", "transformers[torch] (==4.26)"]
 mathchat = ["diskcache", "openai (==0.27.8)", "pydantic (==1.10.9)", "sympy", "termcolor", "wolframalpha"]
-nlp = ["datasets", "nltk", "rouge-score", "seqeval", "transformers[torch] (==4.26)"]
+nlp = ["datasets", "nltk (<=3.8.1)", "rouge-score", "seqeval", "transformers[torch] (==4.26)"]
 nni = ["nni"]
 notebook = ["jupyter"]
 openai = ["diskcache", "openai (==0.27.8)"]
@@ -1655,7 +1676,7 @@ ray = ["ray[tune] (>=1.13,<2.0)"]
 retrievechat = ["chromadb", "diskcache", "openai (==0.27.8)", "sentence-transformers", "termcolor", "tiktoken"]
 spark = ["joblib (<=1.3.2)", "joblibspark (>=0.5.0)", "pyspark (>=3.2.0)"]
 synapse = ["joblibspark (>=0.5.0)", "optuna (>=2.8.0,<=3.6.1)", "pyspark (>=3.2.0)"]
-test = ["catboost (>=0.26)", "catboost (>=0.26,<1.2)", "coverage (>=5.3)", "dataclasses", "datasets", "hcrystalball (==0.1.10)", "ipykernel", "joblib (<=1.3.2)", "joblibspark (>=0.5.0)", "jupyter", "lightgbm (>=2.3.1)", "mlflow", "nbconvert", "nbformat", "nltk", "openml", "optuna (>=2.8.0,<=3.6.1)", "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 (>=1.0.0)", "scipy (>=1.4.1)", "seqeval", "statsmodels (>=0.12.2)", "sympy", "tensorboardX (==2.6)", "thop", "torch", "torchvision", "transformers[torch] (==4.26)", "wolframalpha", "xgboost (>=0.90,<2.0.0)"]
+test = ["catboost (>=0.26)", "catboost (>=0.26,<1.2)", "coverage (>=5.3)", "dataclasses", "datasets", "dill", "hcrystalball (==0.1.10)", "ipykernel", "joblib (<=1.3.2)", "joblibspark (>=0.5.0)", "jupyter", "lightgbm (>=2.3.1)", "mlflow (==2.15.1)", "nbconvert", "nbformat", "nltk (<=3.8.1)", "openml", "optuna (>=2.8.0,<=3.6.1)", "packaging", "pandas (>=1.1.4)", "pandas (>=1.1.4,<2.0.0)", "pre-commit", "psutil (==5.8.0)", "pydantic (==1.10.9)", "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 (>=1.0.0)", "scipy (>=1.4.1)", "seqeval", "statsmodels (>=0.12.2)", "sympy", "tensorboardX (==2.6)", "thop", "torch", "torchvision", "transformers[torch] (==4.26)", "wolframalpha", "xgboost (>=0.90,<2.0.0)"]
 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)"]
 
@@ -1694,53 +1715,59 @@ files = [
 
 [[package]]
 name = "fonttools"
-version = "4.53.1"
+version = "4.54.1"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fonttools-4.53.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0679a30b59d74b6242909945429dbddb08496935b82f91ea9bf6ad240ec23397"},
-    {file = "fonttools-4.53.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e8bf06b94694251861ba7fdeea15c8ec0967f84c3d4143ae9daf42bbc7717fe3"},
-    {file = "fonttools-4.53.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b96cd370a61f4d083c9c0053bf634279b094308d52fdc2dd9a22d8372fdd590d"},
-    {file = "fonttools-4.53.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a1c7c5aa18dd3b17995898b4a9b5929d69ef6ae2af5b96d585ff4005033d82f0"},
-    {file = "fonttools-4.53.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:e013aae589c1c12505da64a7d8d023e584987e51e62006e1bb30d72f26522c41"},
-    {file = "fonttools-4.53.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:9efd176f874cb6402e607e4cc9b4a9cd584d82fc34a4b0c811970b32ba62501f"},
-    {file = "fonttools-4.53.1-cp310-cp310-win32.whl", hash = "sha256:c8696544c964500aa9439efb6761947393b70b17ef4e82d73277413f291260a4"},
-    {file = "fonttools-4.53.1-cp310-cp310-win_amd64.whl", hash = "sha256:8959a59de5af6d2bec27489e98ef25a397cfa1774b375d5787509c06659b3671"},
-    {file = "fonttools-4.53.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:da33440b1413bad53a8674393c5d29ce64d8c1a15ef8a77c642ffd900d07bfe1"},
-    {file = "fonttools-4.53.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:5ff7e5e9bad94e3a70c5cd2fa27f20b9bb9385e10cddab567b85ce5d306ea923"},
-    {file = "fonttools-4.53.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c6e7170d675d12eac12ad1a981d90f118c06cf680b42a2d74c6c931e54b50719"},
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-    {file = "fonttools-4.53.1-cp311-cp311-win_amd64.whl", hash = "sha256:d4d0096cb1ac7a77b3b41cd78c9b6bc4a400550e21dc7a92f2b5ab53ed74eb02"},
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@@ -2432,13 +2474,13 @@ socks = ["socksio (==1.*)"]
 
 [[package]]
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+version = "0.25.1"
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@@ -2491,15 +2533,18 @@ files = [
 
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 description = "Internationalized Domain Names in Applications (IDNA)"
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+
 [[package]]
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 version = "8.4.0"
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 [[package]]
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+    {file = "kubernetes-31.0.0-py2.py3-none-any.whl", hash = "sha256:bf141e2d380c8520eada8b351f4e319ffee9636328c137aa432bc486ca1200e1"},
+    {file = "kubernetes-31.0.0.tar.gz", hash = "sha256:28945de906c8c259c1ebe62703b56a03b714049372196f854105afe4e6d014c0"},
 ]
 
 [package.dependencies]
 certifi = ">=14.05.14"
+durationpy = ">=0.7"
 google-auth = ">=1.0.1"
 oauthlib = ">=3.2.2"
 python-dateutil = ">=2.5.3"
@@ -2873,19 +2929,19 @@ adal = ["adal (>=1.0.2)"]
 
 [[package]]
 name = "langchain"
-version = "0.2.15"
+version = "0.2.16"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain-0.2.15-py3-none-any.whl", hash = "sha256:9e6231441870aaa8523be24a5785ccccfdde759a7e27dd082b6ec80f68e49dec"},
-    {file = "langchain-0.2.15.tar.gz", hash = "sha256:f613ce7594be34f9bac687134a56f6e8274951907b798dbd037aefc95df78953"},
+    {file = "langchain-0.2.16-py3-none-any.whl", hash = "sha256:8f59ee8b45f268df4b924ea3b9c63e49286efa756d16b3f6a9de5c6e502c36e1"},
+    {file = "langchain-0.2.16.tar.gz", hash = "sha256:ffb426a76a703b73ac69abad77cd16eaf03dda76b42cff55572f592d74944166"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
-langchain-core = ">=0.2.35,<0.3.0"
+langchain-core = ">=0.2.38,<0.3.0"
 langchain-text-splitters = ">=0.2.0,<0.3.0"
 langsmith = ">=0.1.17,<0.2.0"
 numpy = {version = ">=1,<2", markers = "python_version < \"3.12\""}
@@ -2897,21 +2953,21 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-community"
-version = "0.2.14"
+version = "0.2.17"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_community-0.2.14-py3-none-any.whl", hash = "sha256:8ebf42e6c14be95fb5d86450785ac802f60a10e382bb6548af0dcc05323d4819"},
-    {file = "langchain_community-0.2.14.tar.gz", hash = "sha256:70e5c51863e93705517527f1ed30a8a5db3920e48331592f98edcafb13134017"},
+    {file = "langchain_community-0.2.17-py3-none-any.whl", hash = "sha256:d07c31b641e425fb8c3e7148ad6a62e1b54a9adac6e1173021a7dd3148266063"},
+    {file = "langchain_community-0.2.17.tar.gz", hash = "sha256:b0745c1fcf1bd532ed4388f90b47139d6a6c6ba48a87aa68aa32d4d6bb97259d"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 dataclasses-json = ">=0.5.7,<0.7"
-langchain = ">=0.2.15,<0.3.0"
-langchain-core = "0.2.36"
-langsmith = ">=0.1.0,<0.2.0"
+langchain = ">=0.2.16,<0.3.0"
+langchain-core = ">=0.2.39,<0.3.0"
+langsmith = ">=0.1.112,<0.2.0"
 numpy = {version = ">=1,<2", markers = "python_version < \"3.12\""}
 PyYAML = ">=5.3"
 requests = ">=2,<3"
@@ -2920,18 +2976,18 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.36"
+version = "0.2.41"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_core-0.2.36-py3-none-any.whl", hash = "sha256:eabce6e7538cb9dc60db4bc1eb584bbb91a5e7e02a96d5b65b4a6ab151081b6d"},
-    {file = "langchain_core-0.2.36.tar.gz", hash = "sha256:56f2367070e8afc43922bba1d046035a144b4e732a5474676403bd0eb33d85f2"},
+    {file = "langchain_core-0.2.41-py3-none-any.whl", hash = "sha256:3278fda5ba9a05defae8bb19f1226032add6aab21917db7b3bc74e750e263e84"},
+    {file = "langchain_core-0.2.41.tar.gz", hash = "sha256:bc12032c5a298d85be754ccb129bc13ea21ccb1d6e22f8d7ba18b8da64315bb5"},
 ]
 
 [package.dependencies]
 jsonpatch = ">=1.33,<2.0"
-langsmith = ">=0.1.75,<0.2.0"
+langsmith = ">=0.1.112,<0.2.0"
 packaging = ">=23.2,<25"
 pydantic = {version = ">=1,<3", markers = "python_full_version < \"3.12.4\""}
 PyYAML = ">=5.3"
@@ -2940,43 +2996,43 @@ typing-extensions = ">=4.7"
 
 [[package]]
 name = "langchain-openai"
-version = "0.1.23"
+version = "0.1.25"
 description = "An integration package connecting OpenAI and LangChain"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_openai-0.1.23-py3-none-any.whl", hash = "sha256:8e3d215803e157f26480c6108eb4333629832b1a0e746723060c24f93b8b78f4"},
-    {file = "langchain_openai-0.1.23.tar.gz", hash = "sha256:ed7f16671ea0af177ac5f82d5645a746c5097c56f97b31798e5c07b5c84f0eed"},
+    {file = "langchain_openai-0.1.25-py3-none-any.whl", hash = "sha256:f0b34a233d0d9cb8fce6006c903e57085c493c4f0e32862b99063b96eaedb109"},
+    {file = "langchain_openai-0.1.25.tar.gz", hash = "sha256:eb116f744f820247a72f54313fb7c01524fba0927120d4e899e5e4ab41ad3928"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.2.35,<0.3.0"
+langchain-core = ">=0.2.40,<0.3.0"
 openai = ">=1.40.0,<2.0.0"
 tiktoken = ">=0.7,<1"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.2.2"
+version = "0.2.4"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langchain_text_splitters-0.2.2-py3-none-any.whl", hash = "sha256:1c80d4b11b55e2995f02d2a326c0323ee1eeff24507329bb22924e420c782dff"},
-    {file = "langchain_text_splitters-0.2.2.tar.gz", hash = "sha256:a1e45de10919fa6fb080ef0525deab56557e9552083600455cb9fa4238076140"},
+    {file = "langchain_text_splitters-0.2.4-py3-none-any.whl", hash = "sha256:2702dee5b7cbdd595ccbe43b8d38d01a34aa8583f4d6a5a68ad2305ae3e7b645"},
+    {file = "langchain_text_splitters-0.2.4.tar.gz", hash = "sha256:f7daa7a3b0aa8309ce248e2e2b6fc8115be01118d336c7f7f7dfacda0e89bf29"},
 ]
 
 [package.dependencies]
-langchain-core = ">=0.2.10,<0.3.0"
+langchain-core = ">=0.2.38,<0.3.0"
 
 [[package]]
 name = "langcodes"
-version = "3.4.0"
+version = "3.4.1"
 description = "Tools for labeling human languages with IETF language tags"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "langcodes-3.4.0-py3-none-any.whl", hash = "sha256:10a4cc078b8e8937d8485d3352312a0a89a3125190db9f2bb2074250eef654e9"},
-    {file = "langcodes-3.4.0.tar.gz", hash = "sha256:ae5a77d1a01d0d1e91854a671890892b7ce9abb601ab7327fc5c874f899e1979"},
+    {file = "langcodes-3.4.1-py3-none-any.whl", hash = "sha256:68f686fc3d358f222674ecf697ddcee3ace3c2fe325083ecad2543fd28a20e77"},
+    {file = "langcodes-3.4.1.tar.gz", hash = "sha256:a24879fed238013ac3af2424b9d1124e38b4a38b2044fd297c8ff38e5912e718"},
 ]
 
 [package.dependencies]
@@ -2988,13 +3044,13 @@ test = ["pytest", "pytest-cov"]
 
 [[package]]
 name = "langfuse"
-version = "2.45.0"
+version = "2.51.1"
 description = "A client library for accessing langfuse"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
-    {file = "langfuse-2.45.0-py3-none-any.whl", hash = "sha256:b2202846740bf4f7546d6ff692e1e2edb7393728ea87a7d8d98b88524ad8436d"},
-    {file = "langfuse-2.45.0.tar.gz", hash = "sha256:0971449576038dcc86373e8310bee6a6ab63715bdd0ca9c537c40275e6c04e1b"},
+    {file = "langfuse-2.51.1-py3-none-any.whl", hash = "sha256:77a4d6818ef89fe636538d2643ba09f8e91256dd1120b483c26a95977ef293d1"},
+    {file = "langfuse-2.51.1.tar.gz", hash = "sha256:07dc0d5eab3860e8dd0d425b93da30054ad4428a843f7ac6803b4d3df8b7d4c2"},
 ]
 
 [package.dependencies]
@@ -3002,7 +3058,7 @@ anyio = ">=4.4.0,<5.0.0"
 backoff = ">=1.10.0"
 httpx = ">=0.15.4,<1.0"
 idna = ">=3.7,<4.0"
-packaging = ">=23.2,<24.0"
+packaging = ">=23.2,<25.0"
 pydantic = ">=1.10.7,<3.0"
 wrapt = ">=1.14,<2.0"
 
@@ -3013,13 +3069,13 @@ openai = ["openai (>=0.27.8)"]
 
 [[package]]
 name = "langsmith"
-version = "0.1.106"
+version = "0.1.128"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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-    {file = "langsmith-0.1.106.tar.gz", hash = "sha256:64a890a05640d64692f5515ebb444b0457332a9cf9e7605c4651de6737a7d3a0"},
+    {file = "langsmith-0.1.128-py3-none-any.whl", hash = "sha256:c1b59d947584be7487ac53dffb4e232704626964011b714fd3d9add4b3694cbc"},
+    {file = "langsmith-0.1.128.tar.gz", hash = "sha256:3299e17a659f3c47725c97c47f4445fc34113ac668becce425919866fbcb6ec2"},
 ]
 
 [package.dependencies]
@@ -3064,6 +3120,20 @@ win32-setctime = {version = ">=1.0.0", markers = "sys_platform == \"win32\""}
 [package.extras]
 dev = ["Sphinx (==7.2.5)", "colorama (==0.4.5)", "colorama (==0.4.6)", "exceptiongroup (==1.1.3)", "freezegun (==1.1.0)", "freezegun (==1.2.2)", "mypy (==v0.910)", "mypy (==v0.971)", "mypy (==v1.4.1)", "mypy (==v1.5.1)", "pre-commit (==3.4.0)", "pytest (==6.1.2)", "pytest (==7.4.0)", "pytest-cov (==2.12.1)", "pytest-cov (==4.1.0)", "pytest-mypy-plugins (==1.9.3)", "pytest-mypy-plugins (==3.0.0)", "sphinx-autobuild (==2021.3.14)", "sphinx-rtd-theme (==1.3.0)", "tox (==3.27.1)", "tox (==4.11.0)"]
 
+[[package]]
+name = "loky"
+version = "3.4.1"
+description = "A robust implementation of concurrent.futures.ProcessPoolExecutor"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "loky-3.4.1-py3-none-any.whl", hash = "sha256:7132da80d1a057b5917ff32c7867b65ed164aae84c259a1dbc44375791280c87"},
+    {file = "loky-3.4.1.tar.gz", hash = "sha256:66db350de68c301299c882ace3b8f06ba5c4cb2c45f8fcffd498160ce8280753"},
+]
+
+[package.dependencies]
+cloudpickle = "*"
+
 [[package]]
 name = "lru-dict"
 version = "1.2.0"
@@ -3478,95 +3548,116 @@ psutil = "*"
 
 [[package]]
 name = "mmh3"
-version = "4.1.0"
+version = "5.0.1"
 description = "Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 [package.dependencies]
@@ -4388,13 +4485,13 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "posthog"
-version = "3.6.0"
+version = "3.6.6"
 description = "Integrate PostHog into any python application."
 optional = false
 python-versions = "*"
 files = [
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 [package.dependencies]
@@ -4407,17 +4504,17 @@ six = ">=1.5"
 [package.extras]
 dev = ["black", "flake8", "flake8-print", "isort", "pre-commit"]
 sentry = ["django", "sentry-sdk"]
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+test = ["coverage", "django", "flake8", "freezegun (==0.3.15)", "mock (>=2.0.0)", "pylint", "pytest", "pytest-timeout"]
 
 [[package]]
 name = "prediction-market-agent-tooling"
-version = "0.48.6"
+version = "0.49.0"
 description = "Tools to benchmark, deploy and monitor prediction market agents."
 optional = false
 python-versions = "<3.12,>=3.10"
 files = [
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 langfuse = ">=2.42.0,<3.0.0"
 loguru = ">=0.7.2,<0.8.0"
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 numpy = ">=1.26.4,<2.0.0"
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 psycopg2-binary = ">=2.9.9,<3.0.0"
 pydantic = ">=2.6.1,<3.0.0"
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 pymongo = ">=4.8.0,<5.0.0"
 safe-cli = ">=1.0.0,<2.0.0"
 safe-eth-py = ">=6.0.0b14,<7.0.0"
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 [package.dependencies]
@@ -4541,22 +4639,22 @@ testing = ["google-api-core (>=1.31.5)"]
 
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 [[package]]
@@ -4821,24 +4919,24 @@ test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"]
 
 [[package]]
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 [package.dependencies]
@@ -4936,119 +5034,120 @@ files = [
 
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 typing-extensions = {version = ">=4.6.1", markers = "python_version < \"3.13\""}
 
 [package.extras]
 email = ["email-validator (>=2.0.0)"]
+timezone = ["tzdata"]
 
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 [package.extras]
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-encryption = ["certifi", "pymongo-auth-aws (>=1.1.0,<2.0.0)", "pymongocrypt (>=1.6.0,<2.0.0)"]
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 snappy = ["python-snappy"]
-test = ["pytest (>=7)"]
+test = ["pytest (>=8.2)", "pytest-asyncio (>=0.24.0)"]
 zstd = ["zstandard"]
 
 [[package]]
@@ -5227,15 +5335,18 @@ files = [
 
 [[package]]
 name = "pyreadline3"
-version = "3.4.1"
+version = "3.5.4"
 description = "A python implementation of GNU readline."
 optional = false
-python-versions = "*"
+python-versions = ">=3.8"
 files = [
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 ]
 
+[package.extras]
+dev = ["build", "flake8", "mypy", "pytest", "twine"]
+
 [[package]]
 name = "pysqlite3-binary"
 version = "0.5.3.post1"
@@ -5254,13 +5365,13 @@ files = [
 
 [[package]]
 name = "pytest"
-version = "8.3.2"
+version = "8.3.3"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
@@ -5322,23 +5433,24 @@ cli = ["click (>=5.0)"]
 
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 name = "pytz"
-version = "2024.1"
+version = "2024.2"
 description = "World timezone definitions, modern and historical"
 optional = false
 python-versions = "*"
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 name = "pyunormalize"
-version = "15.1.0"
-description = "Unicode normalization forms (NFC, NFKC, NFD, NFKD). A library independent from the Python core Unicode database."
+version = "16.0.0"
+description = "Unicode normalization forms (NFC, NFKC, NFD, NFKD). A library independent of the Python core Unicode database."
 optional = false
 python-versions = ">=3.6"
 files = [
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 [[package]]
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 [package.dependencies]
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 [[package]]
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 [[package]]
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+    {file = "yarl-1.12.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7e9905fc2dc1319e4c39837b906a024cf71b1261cc66b0cd89678f779c0c61f5"},
+    {file = "yarl-1.12.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:01549468858b87d36f967c97d02e6e54106f444aeb947ed76f8f71f85ed07cec"},
+    {file = "yarl-1.12.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:96b34830bd6825ca0220bf005ea99ac83eb9ce51301ddb882dcf613ae6cd95fb"},
+    {file = "yarl-1.12.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:2aee7594d2c2221c717a8e394bbed4740029df4c0211ceb0f04815686e99c795"},
+    {file = "yarl-1.12.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:15871130439ad10abb25a4631120d60391aa762b85fcab971411e556247210a0"},
+    {file = "yarl-1.12.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:838dde2cb570cfbb4cab8a876a0974e8b90973ea40b3ac27a79b8a74c8a2db15"},
+    {file = "yarl-1.12.1-cp39-cp39-win32.whl", hash = "sha256:eacbcf30efaca7dc5cb264228ffecdb95fdb1e715b1ec937c0ce6b734161e0c8"},
+    {file = "yarl-1.12.1-cp39-cp39-win_amd64.whl", hash = "sha256:76a59d1b63de859398bc7764c860a769499511463c1232155061fe0147f13e01"},
+    {file = "yarl-1.12.1-py3-none-any.whl", hash = "sha256:dc3192a81ecd5ff954cecd690327badd5a84d00b877e1573f7c9097ce13e5bfb"},
+    {file = "yarl-1.12.1.tar.gz", hash = "sha256:5b860055199aec8d6fe4dcee3c5196ce506ca198a50aab0059ffd26e8e815828"},
 ]
 
 [package.dependencies]
@@ -7476,13 +7605,13 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.20.1"
+version = "3.20.2"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.20.1-py3-none-any.whl", hash = "sha256:9960cd8967c8f85a56f920d5d507274e74f9ff813a0ab8889a5b5be2daf44064"},
-    {file = "zipp-3.20.1.tar.gz", hash = "sha256:c22b14cc4763c5a5b04134207736c107db42e9d3ef2d9779d465f5f1bcba572b"},
+    {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"},
+    {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"},
 ]
 
 [package.extras]
diff --git a/prediction_prophet/app.py b/prediction_prophet/app.py
index 64b16d56..45458d94 100644
--- a/prediction_prophet/app.py
+++ b/prediction_prophet/app.py
@@ -154,6 +154,8 @@ def research(
                 outcome_prediction = cast(OutcomePrediction, prediction.outcome_prediction)
             
                 st.write(f"Probability: {outcome_prediction.p_yes * 100}%. Confidence: {outcome_prediction.confidence * 100}%")
+                if outcome_prediction.reasoning:
+                    st.write(f"Reasoning: {outcome_prediction.reasoning}")
                 if not prediction:
                     st.container().error("No prediction was generated.")
                     st.stop()
diff --git a/prediction_prophet/autonolas/research.py b/prediction_prophet/autonolas/research.py
index 9384cdeb..63cfb4ec 100644
--- a/prediction_prophet/autonolas/research.py
+++ b/prediction_prophet/autonolas/research.py
@@ -112,7 +112,7 @@
 
 OUTPUT_FORMAT:
 * Your output response must be only a single JSON object to be parsed by Python's "json.loads()".
-* The JSON must contain five fields: "decision", "p_yes", "p_no", "confidence", and "info_utility".
+* The JSON must contain five fields: "decision", "p_yes", "p_no", "confidence", and "info_utility".{reasoning_field}
    - "decision": The decision you made. Either `y` (for `Yes`) or `n` (for `No`).
    - "p_yes": Probability that the market question's outcome will be `Yes`. Ranging from 0 (lowest probability) to 1 (maximum probability).
    - "p_no": Probability that the market questions outcome will be `No`. Ranging from 0 (lowest probability) to 1 (maximum probability).
@@ -122,6 +122,8 @@
 * Output only the JSON object in your response. Do not include any other contents in your response.
 """
 
+REASONING_FIELD_INSTRUCTIONS = "\n  - 'reasoning': A string containing the reasoning behind your decision, and the rest of the answer you're about to give."
+
 URL_QUERY_PROMPT = """
 You are a Large Language Model in a multi-agent system. Your task is to formulate search engine queries based on \
 a user's 'event question', which specifies an event and any accompanying conditions. The 'event question' allows \
@@ -323,6 +325,7 @@ class Prediction(TypedDict):
     p_no: Probability
     confidence: float
     info_utility: float
+    reasoning: Optional[str]
 
 
 @tenacity.retry(stop=tenacity.stop_after_attempt(3), wait=tenacity.wait_fixed(1), reraise=True)
@@ -1184,6 +1187,7 @@ def make_prediction(
     engine: str = "gpt-3.5-turbo-0125",
     log_probs: bool = False,
     top_logprobs: int = 5,
+    include_reasoning: bool = False,
     api_key: SecretStr | None = None,
 ) -> Prediction:
     if api_key == None:
@@ -1195,7 +1199,12 @@ def make_prediction(
     prediction_prompt = ChatPromptTemplate.from_template(template=PREDICTION_PROMPT)
 
     llm = ChatOpenAI(model=engine, temperature=temperature, api_key=secretstr_to_v1_secretstr(api_key))
-    formatted_messages = prediction_prompt.format_messages(user_prompt=prompt, additional_information=additional_information, timestamp=formatted_time_utc)
+    formatted_messages = prediction_prompt.format_messages(
+        user_prompt=prompt,
+        additional_information=additional_information,
+        reasoning_field=REASONING_FIELD_INSTRUCTIONS if include_reasoning else "",
+        timestamp=formatted_time_utc,
+    )
     generation = llm.generate([formatted_messages], logprobs=log_probs, top_logprobs=top_logprobs if log_probs else None, callbacks=[langfuse_context.get_current_langchain_handler()])
 
     completion = generation.generations[0][0].text
diff --git a/prediction_prophet/benchmark/agents.py b/prediction_prophet/benchmark/agents.py
index 0405bf8d..398e8d7f 100644
--- a/prediction_prophet/benchmark/agents.py
+++ b/prediction_prophet/benchmark/agents.py
@@ -38,6 +38,7 @@ def _make_prediction(
     additional_information: str,
     engine: str,
     temperature: float,
+    include_reasoning: bool = False,
     api_key: SecretStr | None = None,
 ) -> Prediction:
     """
@@ -49,6 +50,7 @@ def _make_prediction(
         engine=engine,
         temperature=temperature,
         api_key=api_key,
+        include_reasoning=include_reasoning,
     )
     return completion_prediction_json_to_pydantic_model(
         prediction
@@ -159,6 +161,7 @@ def __init__(
         research_temperature: float = 0.7,
         prediction_temperature: float = 0.0,
         agent_name: str = "prediction_prophet",
+        include_reasoning: bool = False,
         use_summaries: bool = False,
         use_tavily_raw_content: bool = False,
         max_workers: t.Optional[int] = None,
@@ -167,6 +170,7 @@ def __init__(
     ):
         super().__init__(agent_name=agent_name, max_workers=max_workers)
         self.model: str = model
+        self.include_reasoning = include_reasoning
         self.research_temperature = research_temperature
         self.prediction_temperature = prediction_temperature
         self.use_summaries = use_summaries
@@ -201,6 +205,7 @@ def predict(self, market_question: str) -> Prediction:
                 additional_information=research.report,
                 engine=self.model,
                 temperature=self.prediction_temperature,
+                include_reasoning=self.include_reasoning,
         )
         except ValueError as e:
             print(f"Error in PredictionProphet's predict: {e}")

From bde8006c36331d1086275233731129cfbc2e5aaa Mon Sep 17 00:00:00 2001
From: evangriffiths <egriffiths93@gmail.com>
Date: Fri, 27 Sep 2024 11:10:23 +0100
Subject: [PATCH 2/3] Fix prompt

---
 prediction_prophet/autonolas/research.py | 49 ++++++++++++++++++++----
 tests/test_misc.py                       | 16 ++++++++
 2 files changed, 57 insertions(+), 8 deletions(-)
 create mode 100644 tests/test_misc.py

diff --git a/prediction_prophet/autonolas/research.py b/prediction_prophet/autonolas/research.py
index 63cfb4ec..0e01f549 100644
--- a/prediction_prophet/autonolas/research.py
+++ b/prediction_prophet/autonolas/research.py
@@ -112,17 +112,20 @@
 
 OUTPUT_FORMAT:
 * Your output response must be only a single JSON object to be parsed by Python's "json.loads()".
-* The JSON must contain five fields: "decision", "p_yes", "p_no", "confidence", and "info_utility".{reasoning_field}
-   - "decision": The decision you made. Either `y` (for `Yes`) or `n` (for `No`).
-   - "p_yes": Probability that the market question's outcome will be `Yes`. Ranging from 0 (lowest probability) to 1 (maximum probability).
-   - "p_no": Probability that the market questions outcome will be `No`. Ranging from 0 (lowest probability) to 1 (maximum probability).
-   - "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.
-   - "info_utility": Utility of the information provided in "ADDITIONAL_INFORMATION" to help you make the probability estimation ranging from 0 (lowest utility) to 1 (maximum utility).
+* The JSON must contain {n_fields} fields: {fields_list}.
+{fields_description}
 * The sum of "p_yes" and "p_no" must equal 1.
 * Output only the JSON object in your response. Do not include any other contents in your response.
 """
 
-REASONING_FIELD_INSTRUCTIONS = "\n  - 'reasoning': A string containing the reasoning behind your decision, and the rest of the answer you're about to give."
+FIELDS_DESCRIPTIONS = {
+    "reasoning": "A string containing the reasoning behind your decision, and the rest of the answer you're about to give.",
+    "decision": "The decision you made. Either `y` (for `Yes`) or `n` (for `No`).",
+    "p_yes": "Probability that the market question's outcome will be `Yes`. Ranging from 0 (lowest probability) to 1 (maximum probability).",
+    "p_no": "Probability that the market questions outcome will be `No`. Ranging from 0 (lowest probability) to 1 (maximum probability).",
+    "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.",
+    "info_utility": "Utility of the information provided in 'ADDITIONAL_INFORMATION' to help you make the probability estimation ranging from 0 (lowest utility) to 1 (maximum utility).",
+}
 
 URL_QUERY_PROMPT = """
 You are a Large Language Model in a multi-agent system. Your task is to formulate search engine queries based on \
@@ -327,6 +330,31 @@ class Prediction(TypedDict):
     info_utility: float
     reasoning: Optional[str]
 
+def list_to_list_str(l: List[str]) -> str:
+    """
+    Converts ["foo", "bar", "baz"] to '"foo", "bar" and "baz"'.
+    """
+    list_str = ""
+    for i, item in enumerate(l):
+        if i == 0:
+            list_str += f'"{item}"'
+        elif i == len(l) - 1:
+            list_str += f' and "{item}"'
+        else:
+            list_str += f', "{item}"'
+
+def fields_dict_to_bullet_list(fields_dict: Dict[str, str]) -> str:
+    """
+    Converts a dictionary of field names to their descriptions into a bullet list.
+    """
+    bullet_list = ""
+    for i, (field, description) in enumerate(fields_dict.items()):
+        if i > 1:
+            bullet_list += "\n"
+        bullet_list += f"  - {field}: {description}"
+        if i == 0:
+            bullet_list += "\n"
+    return bullet_list
 
 @tenacity.retry(stop=tenacity.stop_after_attempt(3), wait=tenacity.wait_fixed(1), reraise=True)
 @persistent_inmemory_cache
@@ -1199,10 +1227,15 @@ def make_prediction(
     prediction_prompt = ChatPromptTemplate.from_template(template=PREDICTION_PROMPT)
 
     llm = ChatOpenAI(model=engine, temperature=temperature, api_key=secretstr_to_v1_secretstr(api_key))
+    field_descriptions = FIELDS_DESCRIPTIONS.copy()
+    if not include_reasoning:
+        field_descriptions.pop("reasoning")
     formatted_messages = prediction_prompt.format_messages(
         user_prompt=prompt,
         additional_information=additional_information,
-        reasoning_field=REASONING_FIELD_INSTRUCTIONS if include_reasoning else "",
+        n_fields=len(field_descriptions),
+        fields_list=list_to_list_str(list(field_descriptions)),
+        fields_description=fields_dict_to_bullet_list(field_descriptions),
         timestamp=formatted_time_utc,
     )
     generation = llm.generate([formatted_messages], logprobs=log_probs, top_logprobs=top_logprobs if log_probs else None, callbacks=[langfuse_context.get_current_langchain_handler()])
diff --git a/tests/test_misc.py b/tests/test_misc.py
new file mode 100644
index 00000000..619c94ca
--- /dev/null
+++ b/tests/test_misc.py
@@ -0,0 +1,16 @@
+from prediction_prophet.autonolas.research import (
+    fields_dict_to_bullet_list,
+    list_to_list_str,
+)
+
+
+def test_list_to_list_str() -> None:
+    list_to_list_str(["foo", "bar", "baz"]) == '"foo", "bar" and "baz"'
+
+
+def test_fields_dict_to_bullet_list() -> None:
+    field_dict = {"foo": "foo sth", "bar": "bar sth", "baz": "baz sth"}
+    EXPECTED_LIST_STR = """  - foo: foo sth
+  - bar: bar sth
+  - baz: baz sth"""
+    assert fields_dict_to_bullet_list(field_dict) == EXPECTED_LIST_STR

From e156a779e648c6775ef301483cef38f1c122813c Mon Sep 17 00:00:00 2001
From: evangriffiths <egriffiths93@gmail.com>
Date: Fri, 27 Sep 2024 11:28:39 +0100
Subject: [PATCH 3/3] Fix prompt

---
 prediction_prophet/autonolas/research.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/prediction_prophet/autonolas/research.py b/prediction_prophet/autonolas/research.py
index 0e01f549..3792dd6c 100644
--- a/prediction_prophet/autonolas/research.py
+++ b/prediction_prophet/autonolas/research.py
@@ -342,6 +342,7 @@ def list_to_list_str(l: List[str]) -> str:
             list_str += f' and "{item}"'
         else:
             list_str += f', "{item}"'
+    return list_str
 
 def fields_dict_to_bullet_list(fields_dict: Dict[str, str]) -> str:
     """