diff --git a/poetry.lock b/poetry.lock
index fb5074a0..1a8da7c5 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -110,6 +110,25 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "alembic"
+version = "1.13.1"
+description = "A database migration tool for SQLAlchemy."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "alembic-1.13.1-py3-none-any.whl", hash = "sha256:2edcc97bed0bd3272611ce3a98d98279e9c209e7186e43e75bbb1b2bdfdbcc43"},
+    {file = "alembic-1.13.1.tar.gz", hash = "sha256:4932c8558bf68f2ee92b9bbcb8218671c627064d5b08939437af6d77dc05e595"},
+]
+
+[package.dependencies]
+Mako = "*"
+SQLAlchemy = ">=1.3.0"
+typing-extensions = ">=4"
+
+[package.extras]
+tz = ["backports.zoneinfo"]
+
 [[package]]
 name = "altair"
 version = "5.3.0"
@@ -168,6 +187,34 @@ doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphin
 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)"]
 
+[[package]]
+name = "appdirs"
+version = "1.4.4"
+description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
+optional = false
+python-versions = "*"
+files = [
+    {file = "appdirs-1.4.4-py2.py3-none-any.whl", hash = "sha256:a841dacd6b99318a741b166adb07e19ee71a274450e68237b4650ca1055ab128"},
+    {file = "appdirs-1.4.4.tar.gz", hash = "sha256:7d5d0167b2b1ba821647616af46a749d1c653740dd0d2415100fe26e27afdf41"},
+]
+
+[[package]]
+name = "asgiref"
+version = "3.8.1"
+description = "ASGI specs, helper code, and adapters"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "asgiref-3.8.1-py3-none-any.whl", hash = "sha256:3e1e3ecc849832fe52ccf2cb6686b7a55f82bb1d6aee72a58826471390335e47"},
+    {file = "asgiref-3.8.1.tar.gz", hash = "sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590"},
+]
+
+[package.dependencies]
+typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""}
+
+[package.extras]
+tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
+
 [[package]]
 name = "async-timeout"
 version = "4.0.3"
@@ -213,6 +260,57 @@ files = [
 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 = "bcrypt"
+version = "4.1.2"
+description = "Modern password hashing for your software and your servers"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "bcrypt-4.1.2-cp37-abi3-macosx_10_12_universal2.whl", hash = "sha256:ac621c093edb28200728a9cca214d7e838529e557027ef0581685909acd28b5e"},
+    {file = "bcrypt-4.1.2-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ea505c97a5c465ab8c3ba75c0805a102ce526695cd6818c6de3b1a38f6f60da1"},
+    {file = "bcrypt-4.1.2-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:57fa9442758da926ed33a91644649d3e340a71e2d0a5a8de064fb621fd5a3326"},
+    {file = "bcrypt-4.1.2-cp37-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:eb3bd3321517916696233b5e0c67fd7d6281f0ef48e66812db35fc963a422a1c"},
+    {file = "bcrypt-4.1.2-cp37-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:6cad43d8c63f34b26aef462b6f5e44fdcf9860b723d2453b5d391258c4c8e966"},
+    {file = "bcrypt-4.1.2-cp37-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:44290ccc827d3a24604f2c8bcd00d0da349e336e6503656cb8192133e27335e2"},
+    {file = "bcrypt-4.1.2-cp37-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:732b3920a08eacf12f93e6b04ea276c489f1c8fb49344f564cca2adb663b3e4c"},
+    {file = "bcrypt-4.1.2-cp37-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:1c28973decf4e0e69cee78c68e30a523be441972c826703bb93099868a8ff5b5"},
+    {file = "bcrypt-4.1.2-cp37-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:b8df79979c5bae07f1db22dcc49cc5bccf08a0380ca5c6f391cbb5790355c0b0"},
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+    {file = "bcrypt-4.1.2-cp39-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:68e3c6642077b0c8092580c819c1684161262b2e30c4f45deb000c38947bf483"},
+    {file = "bcrypt-4.1.2-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:387e7e1af9a4dd636b9505a465032f2f5cb8e61ba1120e79a0e1cd0b512f3dfc"},
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+    {file = "bcrypt-4.1.2-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:ba55e40de38a24e2d78d34c2d36d6e864f93e0d79d0b6ce915e4335aa81d01b1"},
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+    {file = "bcrypt-4.1.2-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:b90e216dc36864ae7132cb151ffe95155a37a14e0de3a8f64b49655dd959ff9c"},
+    {file = "bcrypt-4.1.2-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:69057b9fc5093ea1ab00dd24ede891f3e5e65bee040395fb1e66ee196f9c9b4a"},
+    {file = "bcrypt-4.1.2-cp39-abi3-win32.whl", hash = "sha256:02d9ef8915f72dd6daaef40e0baeef8a017ce624369f09754baf32bb32dba25f"},
+    {file = "bcrypt-4.1.2-cp39-abi3-win_amd64.whl", hash = "sha256:be3ab1071662f6065899fe08428e45c16aa36e28bc42921c4901a191fda6ee42"},
+    {file = "bcrypt-4.1.2-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:d75fc8cd0ba23f97bae88a6ec04e9e5351ff3c6ad06f38fe32ba50cbd0d11946"},
+    {file = "bcrypt-4.1.2-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:a97e07e83e3262599434816f631cc4c7ca2aa8e9c072c1b1a7fec2ae809a1d2d"},
+    {file = "bcrypt-4.1.2-pp39-pypy39_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:e51c42750b7585cee7892c2614be0d14107fad9581d1738d954a262556dd1aab"},
+    {file = "bcrypt-4.1.2-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:ba4e4cc26610581a6329b3937e02d319f5ad4b85b074846bf4fef8a8cf51e7bb"},
+    {file = "bcrypt-4.1.2.tar.gz", hash = "sha256:33313a1200a3ae90b75587ceac502b048b840fc69e7f7a0905b5f87fac7a1258"},
+]
+
+[package.extras]
+tests = ["pytest (>=3.2.1,!=3.3.0)"]
+typecheck = ["mypy"]
+
 [[package]]
 name = "beautifulsoup4"
 version = "4.12.3"
@@ -653,6 +751,84 @@ files = [
     {file = "charset_normalizer-3.3.2-py3-none-any.whl", hash = "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc"},
 ]
 
+[[package]]
+name = "chroma-hnswlib"
+version = "0.7.3"
+description = "Chromas fork of hnswlib"
+optional = false
+python-versions = "*"
+files = [
+    {file = "chroma-hnswlib-0.7.3.tar.gz", hash = "sha256:b6137bedde49fffda6af93b0297fe00429fc61e5a072b1ed9377f909ed95a932"},
+    {file = "chroma_hnswlib-0.7.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:59d6a7c6f863c67aeb23e79a64001d537060b6995c3eca9a06e349ff7b0998ca"},
+    {file = "chroma_hnswlib-0.7.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d71a3f4f232f537b6152947006bd32bc1629a8686df22fd97777b70f416c127a"},
+    {file = "chroma_hnswlib-0.7.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1c92dc1ebe062188e53970ba13f6b07e0ae32e64c9770eb7f7ffa83f149d4210"},
+    {file = "chroma_hnswlib-0.7.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:49da700a6656fed8753f68d44b8cc8ae46efc99fc8a22a6d970dc1697f49b403"},
+    {file = "chroma_hnswlib-0.7.3-cp310-cp310-win_amd64.whl", hash = "sha256:108bc4c293d819b56476d8f7865803cb03afd6ca128a2a04d678fffc139af029"},
+    {file = "chroma_hnswlib-0.7.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:11e7ca93fb8192214ac2b9c0943641ac0daf8f9d4591bb7b73be808a83835667"},
+    {file = "chroma_hnswlib-0.7.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:6f552e4d23edc06cdeb553cdc757d2fe190cdeb10d43093d6a3319f8d4bf1c6b"},
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+    {file = "chroma_hnswlib-0.7.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c2358a795870156af6761890f9eb5ca8cade57eb10c5f046fe94dae1faa04b9e"},
+    {file = "chroma_hnswlib-0.7.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7cea425df2e6b8a5e201fff0d922a1cc1d165b3cfe762b1408075723c8892218"},
+    {file = "chroma_hnswlib-0.7.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:454df3dd3e97aa784fba7cf888ad191e0087eef0fd8c70daf28b753b3b591170"},
+    {file = "chroma_hnswlib-0.7.3-cp39-cp39-win_amd64.whl", hash = "sha256:df587d15007ca701c6de0ee7d5585dd5e976b7edd2b30ac72bc376b3c3f85882"},
+]
+
+[package.dependencies]
+numpy = "*"
+
+[[package]]
+name = "chromadb"
+version = "0.4.24"
+description = "Chroma."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "chromadb-0.4.24-py3-none-any.whl", hash = "sha256:3a08e237a4ad28b5d176685bd22429a03717fe09d35022fb230d516108da01da"},
+    {file = "chromadb-0.4.24.tar.gz", hash = "sha256:a5c80b4e4ad9b236ed2d4899a5b9e8002b489293f2881cb2cadab5b199ee1c72"},
+]
+
+[package.dependencies]
+bcrypt = ">=4.0.1"
+build = ">=1.0.3"
+chroma-hnswlib = "0.7.3"
+fastapi = ">=0.95.2"
+grpcio = ">=1.58.0"
+importlib-resources = "*"
+kubernetes = ">=28.1.0"
+mmh3 = ">=4.0.1"
+numpy = ">=1.22.5"
+onnxruntime = ">=1.14.1"
+opentelemetry-api = ">=1.2.0"
+opentelemetry-exporter-otlp-proto-grpc = ">=1.2.0"
+opentelemetry-instrumentation-fastapi = ">=0.41b0"
+opentelemetry-sdk = ">=1.2.0"
+orjson = ">=3.9.12"
+overrides = ">=7.3.1"
+posthog = ">=2.4.0"
+pulsar-client = ">=3.1.0"
+pydantic = ">=1.9"
+pypika = ">=0.48.9"
+PyYAML = ">=6.0.0"
+requests = ">=2.28"
+tenacity = ">=8.2.3"
+tokenizers = ">=0.13.2"
+tqdm = ">=4.65.0"
+typer = ">=0.9.0"
+typing-extensions = ">=4.5.0"
+uvicorn = {version = ">=0.18.3", extras = ["standard"]}
+
 [[package]]
 name = "ckzg"
 version = "1.0.0"
@@ -803,6 +979,34 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
+[[package]]
+name = "coloredlogs"
+version = "15.0.1"
+description = "Colored terminal output for Python's logging module"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
+    {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
+    {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
+]
+
+[package.dependencies]
+humanfriendly = ">=9.1"
+
+[package.extras]
+cron = ["capturer (>=2.4)"]
+
+[[package]]
+name = "contextlib2"
+version = "21.6.0"
+description = "Backports and enhancements for the contextlib module"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "contextlib2-21.6.0-py2.py3-none-any.whl", hash = "sha256:3fbdb64466afd23abaf6c977627b75b6139a5a3e8ce38405c5b413aed7a0471f"},
+    {file = "contextlib2-21.6.0.tar.gz", hash = "sha256:ab1e2bfe1d01d968e1b7e8d9023bc51ef3509bba217bb730cee3827e1ee82869"},
+]
+
 [[package]]
 name = "crashtest"
 version = "0.4.1"
@@ -816,29 +1020,31 @@ files = [
 
 [[package]]
 name = "crewai"
-version = "0.22.2"
+version = "0.28.6"
 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,<=3.13"
+python-versions = "<=3.13,>=3.10"
 files = [
-    {file = "crewai-0.22.2-py3-none-any.whl", hash = "sha256:ce1e902403a728d57797eda51a8ba7520f9ad00e3c3c6ed4f61d981ad3edb846"},
-    {file = "crewai-0.22.2.tar.gz", hash = "sha256:9d5c6e34879ef01fa54ef2a8f33999d464360d605aec4b623bf229040c598131"},
+    {file = "crewai-0.28.6-py3-none-any.whl", hash = "sha256:7e92a8ef1b8618d463768c1229f892fa8233b6afa499bb03b026ecc368b64611"},
+    {file = "crewai-0.28.6.tar.gz", hash = "sha256:dceaebc7d531c4ced3c0283c9fb3649aafb4f10c6a37f7d670a9cdda2fd8eda0"},
 ]
 
 [package.dependencies]
+appdirs = ">=1.4.4,<2.0.0"
 click = ">=8.1.7,<9.0.0"
+embedchain = ">=0.1.98,<0.2.0"
 instructor = ">=0.5.2,<0.6.0"
 langchain = ">=0.1.10,<0.2.0"
-langchain-openai = ">=0.0.5,<0.0.6"
 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"
+python-dotenv = "1.0.0"
 regex = ">=2023.12.25,<2024.0.0"
 
 [package.extras]
-tools = ["crewai-tools (>=0.0.15,<0.0.16)"]
+tools = ["crewai-tools (>=0.1.6,<0.2.0)"]
 
 [[package]]
 name = "cron-validator"
@@ -1177,13 +1383,13 @@ files = [
 
 [[package]]
 name = "duckduckgo-search"
-version = "5.2.2"
+version = "5.3.0"
 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-5.2.2-py3-none-any.whl", hash = "sha256:1b1f399c82498968620eb55f0d644d5f1adca21c2642ac346e1f34dc66654a73"},
-    {file = "duckduckgo_search-5.2.2.tar.gz", hash = "sha256:a90240b8a22d554ac56e243ffaded0906d43660592eb7e4f760ef0e5089b1b2b"},
+    {file = "duckduckgo_search-5.3.0-py3-none-any.whl", hash = "sha256:c6a6ddc3cdefc6bb7736c49fa9bdbd0a7a6bdf7ace50260cf06f8300341c9441"},
+    {file = "duckduckgo_search-5.3.0.tar.gz", hash = "sha256:da6328f977295077d1095625474060b688980ae14bc196cee05f13a74f801e9a"},
 ]
 
 [package.dependencies]
@@ -1282,6 +1488,65 @@ https = ["urllib3 (>=1.24.1)"]
 paramiko = ["paramiko"]
 pgp = ["gpg"]
 
+[[package]]
+name = "embedchain"
+version = "0.1.99"
+description = "Simplest open source retrieval (RAG) framework"
+optional = false
+python-versions = "<=3.13,>=3.9"
+files = [
+    {file = "embedchain-0.1.99-py3-none-any.whl", hash = "sha256:1614f580005d7edecd5fa1651013df0dc7f0aabc2ac7b61cefb041f4e92a8769"},
+    {file = "embedchain-0.1.99.tar.gz", hash = "sha256:df4b7c59c1bc6b36fae9de04736ca90609e86d8fdea55771dbc052709a7680a3"},
+]
+
+[package.dependencies]
+alembic = ">=1.13.1,<2.0.0"
+beautifulsoup4 = ">=4.12.2,<5.0.0"
+chromadb = ">=0.4.17,<0.5.0"
+google-cloud-aiplatform = ">=1.26.1,<2.0.0"
+gptcache = ">=0.1.43,<0.2.0"
+langchain = ">=0.1.4,<0.2.0"
+langchain-openai = ">=0.0.5,<0.0.6"
+openai = ">=1.1.1"
+posthog = ">=3.0.2,<4.0.0"
+pypdf = ">=3.11.0,<4.0.0"
+pysbd = ">=0.3.4,<0.4.0"
+python-dotenv = ">=1.0.0,<2.0.0"
+rich = ">=13.7.0,<14.0.0"
+schema = ">=0.7.5,<0.8.0"
+sqlalchemy = ">=2.0.27,<3.0.0"
+tiktoken = ">=0.5.2,<0.6.0"
+
+[package.extras]
+aws-bedrock = ["boto3 (>=1.34.20,<2.0.0)"]
+cohere = ["cohere (>=4.27,<5.0)"]
+dataloaders = ["docx2txt (>=0.8,<0.9)", "duckduckgo-search (>=3.8.5,<4.0.0)", "pytube (>=15.0.0,<16.0.0)", "sentence-transformers (>=2.2.2,<3.0.0)", "unstructured[all-docs,local-inference] (>=0.10.18,<0.11.0)", "youtube-transcript-api (>=0.6.1,<0.7.0)"]
+discord = ["discord (>=2.3.2,<3.0.0)"]
+dropbox = ["dropbox (>=11.36.2,<12.0.0)"]
+elasticsearch = ["elasticsearch (>=8.9.0,<9.0.0)"]
+github = ["PyGithub (>=1.59.1,<2.0.0)", "gitpython (>=3.1.38,<4.0.0)"]
+gmail = ["google-api-core (>=2.15.0,<3.0.0)", "google-api-python-client (>=2.111.0,<3.0.0)", "google-auth (>=2.25.2,<3.0.0)", "google-auth-httplib2 (>=0.2.0,<0.3.0)", "google-auth-oauthlib (>=1.2.0,<2.0.0)", "requests (>=2.31.0,<3.0.0)"]
+google = ["google-generativeai (>=0.3.0,<0.4.0)"]
+googledrive = ["google-api-python-client (>=2.111.0,<3.0.0)", "google-auth-httplib2 (>=0.2.0,<0.3.0)", "google-auth-oauthlib (>=1.2.0,<2.0.0)"]
+huggingface-hub = ["huggingface_hub (>=0.17.3,<0.18.0)"]
+llama2 = ["replicate (>=0.15.4,<0.16.0)"]
+milvus = ["pymilvus (==2.3.1)"]
+mistralai = ["langchain-mistralai (>=0.0.3,<0.0.4)"]
+modal = ["modal (>=0.56.4329,<0.57.0)"]
+mysql = ["mysql-connector-python (>=8.1.0,<9.0.0)"]
+opensearch = ["opensearch-py (==2.3.1)"]
+opensource = ["gpt4all (==2.0.2)", "sentence-transformers (>=2.2.2,<3.0.0)", "torch (==2.0.0)"]
+poe = ["fastapi-poe (==0.0.16)"]
+postgres = ["psycopg (>=3.1.12,<4.0.0)", "psycopg-binary (>=3.1.12,<4.0.0)", "psycopg-pool (>=3.1.8,<4.0.0)"]
+qdrant = ["qdrant-client (>=1.6.3,<2.0.0)"]
+rss-feed = ["feedparser (>=6.0.10,<7.0.0)", "listparser (>=0.19,<0.20)", "newspaper3k (>=0.2.8,<0.3.0)"]
+slack = ["flask (>=2.3.3,<3.0.0)", "slack-sdk (==3.21.3)"]
+together = ["together (>=0.2.8,<0.3.0)"]
+vertexai = ["langchain-google-vertexai (>=0.0.5,<0.0.6)"]
+weaviate = ["weaviate-client (>=3.24.1,<4.0.0)"]
+whatsapp = ["flask (>=2.3.3,<3.0.0)", "twilio (>=8.5.0,<9.0.0)"]
+youtube = ["youtube-transcript-api (>=0.6.1,<0.7.0)", "yt_dlp (>=2023.11.14,<2024.0.0)"]
+
 [[package]]
 name = "eth-abi"
 version = "5.1.0"
@@ -1469,6 +1734,25 @@ files = [
 [package.extras]
 test = ["pytest (>=6)"]
 
+[[package]]
+name = "fastapi"
+version = "0.110.1"
+description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "fastapi-0.110.1-py3-none-any.whl", hash = "sha256:5df913203c482f820d31f48e635e022f8cbfe7350e4830ef05a3163925b1addc"},
+    {file = "fastapi-0.110.1.tar.gz", hash = "sha256:6feac43ec359dfe4f45b2c18ec8c94edb8dc2dfc461d417d9e626590c071baad"},
+]
+
+[package.dependencies]
+pydantic = ">=1.7.4,<1.8 || >1.8,<1.8.1 || >1.8.1,<2.0.0 || >2.0.0,<2.0.1 || >2.0.1,<2.1.0 || >2.1.0,<3.0.0"
+starlette = ">=0.37.2,<0.38.0"
+typing-extensions = ">=4.8.0"
+
+[package.extras]
+all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"]
+
 [[package]]
 name = "fastjsonschema"
 version = "2.19.1"
@@ -1538,13 +1822,13 @@ vw = ["scikit-learn", "vowpalwabbit (>=8.10.0,<9.0.0)"]
 
 [[package]]
 name = "flask"
-version = "3.0.2"
+version = "3.0.3"
 description = "A simple framework for building complex web applications."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "flask-3.0.2-py3-none-any.whl", hash = "sha256:3232e0e9c850d781933cf0207523d1ece087eb8d87b23777ae38456e2fbe7c6e"},
-    {file = "flask-3.0.2.tar.gz", hash = "sha256:822c03f4b799204250a7ee84b1eddc40665395333973dfb9deebfe425fefcb7d"},
+    {file = "flask-3.0.3-py3-none-any.whl", hash = "sha256:34e815dfaa43340d1d15a5c3a02b8476004037eb4840b34910c6e21679d288f3"},
+    {file = "flask-3.0.3.tar.gz", hash = "sha256:ceb27b0af3823ea2737928a4d99d125a06175b8512c445cbd9a9ce200ef76842"},
 ]
 
 [package.dependencies]
@@ -1558,6 +1842,17 @@ Werkzeug = ">=3.0.0"
 async = ["asgiref (>=3.2)"]
 dotenv = ["python-dotenv"]
 
+[[package]]
+name = "flatbuffers"
+version = "24.3.25"
+description = "The FlatBuffers serialization format for Python"
+optional = false
+python-versions = "*"
+files = [
+    {file = "flatbuffers-24.3.25-py2.py3-none-any.whl", hash = "sha256:8dbdec58f935f3765e4f7f3cf635ac3a77f83568138d6a2311f524ec96364812"},
+    {file = "flatbuffers-24.3.25.tar.gz", hash = "sha256:de2ec5b203f21441716617f38443e0a8ebf3d25bf0d9c0bb0ce68fa00ad546a4"},
+]
+
 [[package]]
 name = "frozenlist"
 version = "1.4.1"
@@ -1777,6 +2072,98 @@ pyopenssl = ["cryptography (>=38.0.3)", "pyopenssl (>=20.0.0)"]
 reauth = ["pyu2f (>=0.1.5)"]
 requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
+[[package]]
+name = "google-cloud-aiplatform"
+version = "1.46.0"
+description = "Vertex AI API client library"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "google-cloud-aiplatform-1.46.0.tar.gz", hash = "sha256:9eeefcd34dbad2a1ade830d025154189d257e8dcfea45771dcac6e34a2783782"},
+    {file = "google_cloud_aiplatform-1.46.0-py2.py3-none-any.whl", hash = "sha256:a30a64f8bcefa0646340cf57abca192bb9ca9c456a47b842651a9564bba0534a"},
+]
+
+[package.dependencies]
+docstring-parser = "<1"
+google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.8.dev0,<3.0.0dev", extras = ["grpc"]}
+google-auth = ">=2.14.1,<3.0.0dev"
+google-cloud-bigquery = ">=1.15.0,<3.20.0 || >3.20.0,<4.0.0dev"
+google-cloud-resource-manager = ">=1.3.3,<3.0.0dev"
+google-cloud-storage = ">=1.32.0,<3.0.0dev"
+packaging = ">=14.3"
+proto-plus = ">=1.22.0,<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"
+pydantic = "<3"
+shapely = "<3.0.0dev"
+
+[package.extras]
+autologging = ["mlflow (>=1.27.0,<=2.1.1)"]
+cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
+datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)"]
+endpoint = ["requests (>=2.28.1)"]
+full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "starlette (>=0.17.1)", "tensorflow (>=2.3.0,<2.15.0)", "tensorflow (>=2.3.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)"]
+lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"]
+metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
+pipelines = ["pyyaml (==5.3.1)"]
+prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<0.103.1)", "httpx (>=0.23.0,<0.25.0)", "starlette (>=0.17.1)", "uvicorn[standard] (>=0.16.0)"]
+preview = ["cloudpickle (<3.0)", "google-cloud-logging (<4.0)"]
+private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
+ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)"]
+ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "ray[train] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "scikit-learn", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
+tensorboard = ["tensorflow (>=2.3.0,<2.15.0)"]
+testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (>=2.3.0,<2.15.0)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost", "xgboost-ray"]
+vizier = ["google-vizier (>=0.1.6)"]
+xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
+
+[[package]]
+name = "google-cloud-bigquery"
+version = "3.20.1"
+description = "Google BigQuery API client library"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "google-cloud-bigquery-3.20.1.tar.gz", hash = "sha256:318aa3abab5f1900ee24f63ba8bd02b9cdafaa942d738b4dc14a4ef2cc2d925f"},
+    {file = "google_cloud_bigquery-3.20.1-py2.py3-none-any.whl", hash = "sha256:d3e62fe61138c658b8853c402e2d8fb9346c84e602e21e3a26584be10fc5b0a4"},
+]
+
+[package.dependencies]
+google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.11.dev0,<3.0.0dev", extras = ["grpc"]}
+google-auth = ">=2.14.1,<3.0.0dev"
+google-cloud-core = ">=1.6.0,<3.0.0dev"
+google-resumable-media = ">=0.6.0,<3.0dev"
+packaging = ">=20.0.0"
+python-dateutil = ">=2.7.2,<3.0dev"
+requests = ">=2.21.0,<3.0.0dev"
+
+[package.extras]
+all = ["Shapely (>=1.8.4,<3.0.0dev)", "db-dtypes (>=0.3.0,<2.0.0dev)", "geopandas (>=0.9.0,<1.0dev)", "google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "importlib-metadata (>=1.0.0)", "ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)", "ipywidgets (>=7.7.0)", "opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)", "pandas (>=1.1.0)", "proto-plus (>=1.15.0,<2.0.0dev)", "protobuf (>=3.19.5,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev)", "pyarrow (>=3.0.0)", "tqdm (>=4.7.4,<5.0.0dev)"]
+bigquery-v2 = ["proto-plus (>=1.15.0,<2.0.0dev)", "protobuf (>=3.19.5,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev)"]
+bqstorage = ["google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "pyarrow (>=3.0.0)"]
+geopandas = ["Shapely (>=1.8.4,<3.0.0dev)", "geopandas (>=0.9.0,<1.0dev)"]
+ipython = ["ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)"]
+ipywidgets = ["ipykernel (>=6.0.0)", "ipywidgets (>=7.7.0)"]
+opentelemetry = ["opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)"]
+pandas = ["db-dtypes (>=0.3.0,<2.0.0dev)", "importlib-metadata (>=1.0.0)", "pandas (>=1.1.0)", "pyarrow (>=3.0.0)"]
+tqdm = ["tqdm (>=4.7.4,<5.0.0dev)"]
+
+[[package]]
+name = "google-cloud-core"
+version = "2.4.1"
+description = "Google Cloud API client core library"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "google-cloud-core-2.4.1.tar.gz", hash = "sha256:9b7749272a812bde58fff28868d0c5e2f585b82f37e09a1f6ed2d4d10f134073"},
+    {file = "google_cloud_core-2.4.1-py2.py3-none-any.whl", hash = "sha256:a9e6a4422b9ac5c29f79a0ede9485473338e2ce78d91f2370c01e730eab22e61"},
+]
+
+[package.dependencies]
+google-api-core = ">=1.31.6,<2.0.dev0 || >2.3.0,<3.0.0dev"
+google-auth = ">=1.25.0,<3.0dev"
+
+[package.extras]
+grpc = ["grpcio (>=1.38.0,<2.0dev)", "grpcio-status (>=1.38.0,<2.0.dev0)"]
+
 [[package]]
 name = "google-cloud-functions"
 version = "1.16.3"
@@ -1831,6 +2218,126 @@ 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"
 
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+name = "google-cloud-storage"
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+
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+
+[[package]]
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+version = "2.7.0"
+description = "Utilities for Google Media Downloads and Resumable Uploads"
+optional = false
+python-versions = ">= 3.7"
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+
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+requests = ["requests (>=2.18.0,<3.0.0dev)"]
+
 [[package]]
 name = "google-search-results"
 version = "2.4.2"
@@ -1862,6 +2369,22 @@ protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.1 || >4.21.1,<4
 [package.extras]
 grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
 
+[[package]]
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+version = "0.1.43"
+description = "GPTCache, a powerful caching library that can be used to speed up and lower the cost of chat applications that rely on the LLM service. GPTCache works as a memcache for AIGC applications, similar to how Redis works for traditional applications."
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+]
+
+[package.dependencies]
+cachetools = "*"
+numpy = "*"
+requests = "*"
+
 [[package]]
 name = "greenlet"
 version = "3.0.3"
@@ -2126,6 +2649,54 @@ sniffio = "==1.*"
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 
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+]
+
+[package.extras]
+test = ["Cython (>=0.29.24,<0.30.0)"]
+
 [[package]]
 name = "httpx"
 version = "0.24.1"
@@ -2150,6 +2721,54 @@ cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
 
+[[package]]
+name = "huggingface-hub"
+version = "0.22.2"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
+optional = false
+python-versions = ">=3.8.0"
+files = [
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+]
+
+[package.dependencies]
+filelock = "*"
+fsspec = ">=2023.5.0"
+packaging = ">=20.9"
+pyyaml = ">=5.1"
+requests = "*"
+tqdm = ">=4.42.1"
+typing-extensions = ">=3.7.4.3"
+
+[package.extras]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+cli = ["InquirerPy (==0.3.4)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+hf-transfer = ["hf-transfer (>=0.1.4)"]
+inference = ["aiohttp", "minijinja (>=1.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
+tensorflow = ["graphviz", "pydot", "tensorflow"]
+tensorflow-testing = ["keras (<3.0)", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors", "torch"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
+
+[[package]]
+name = "humanfriendly"
+version = "10.0"
+description = "Human friendly output for text interfaces using Python"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
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+    {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
+]
+
+[package.dependencies]
+pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
+
 [[package]]
 name = "hyperframe"
 version = "6.0.1"
@@ -2191,6 +2810,21 @@ docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.link
 perf = ["ipython"]
 testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
 
+[[package]]
+name = "importlib-resources"
+version = "6.4.0"
+description = "Read resources from Python packages"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "importlib_resources-6.4.0-py3-none-any.whl", hash = "sha256:50d10f043df931902d4194ea07ec57960f66a80449ff867bfe782b4c486ba78c"},
+    {file = "importlib_resources-6.4.0.tar.gz", hash = "sha256:cdb2b453b8046ca4e3798eb1d84f3cce1446a0e8e7b5ef4efb600f19fc398145"},
+]
+
+[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 = ["jaraco.test (>=5.4)", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)", "zipp (>=3.17)"]
+
 [[package]]
 name = "iniconfig"
 version = "2.0.0"
@@ -2310,13 +2944,13 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "joblib"
-version = "1.3.2"
+version = "1.4.0"
 description = "Lightweight pipelining with Python functions"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "joblib-1.3.2-py3-none-any.whl", hash = "sha256:ef4331c65f239985f3f2220ecc87db222f08fd22097a3dd5698f693875f8cbb9"},
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+    {file = "joblib-1.4.0-py3-none-any.whl", hash = "sha256:42942470d4062537be4d54c83511186da1fc14ba354961a2114da91efa9a4ed7"},
+    {file = "joblib-1.4.0.tar.gz", hash = "sha256:1eb0dc091919cd384490de890cb5dfd538410a6d4b3b54eef09fb8c50b409b1c"},
 ]
 
 [[package]]
@@ -2402,6 +3036,32 @@ 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"]
 testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
+[[package]]
+name = "kubernetes"
+version = "29.0.0"
+description = "Kubernetes python client"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "kubernetes-29.0.0-py2.py3-none-any.whl", hash = "sha256:ab8cb0e0576ccdfb71886366efb102c6a20f268d817be065ce7f9909c631e43e"},
+    {file = "kubernetes-29.0.0.tar.gz", hash = "sha256:c4812e227ae74d07d53c88293e564e54b850452715a59a927e7e1bc6b9a60459"},
+]
+
+[package.dependencies]
+certifi = ">=14.05.14"
+google-auth = ">=1.0.1"
+oauthlib = ">=3.2.2"
+python-dateutil = ">=2.5.3"
+pyyaml = ">=5.4.1"
+requests = "*"
+requests-oauthlib = "*"
+six = ">=1.9.0"
+urllib3 = ">=1.24.2"
+websocket-client = ">=0.32.0,<0.40.0 || >0.40.0,<0.41.dev0 || >=0.43.dev0"
+
+[package.extras]
+adal = ["adal (>=1.0.2)"]
+
 [[package]]
 name = "langchain"
 version = "0.1.14"
@@ -2710,6 +3370,25 @@ files = [
 [package.extras]
 test = ["pytest"]
 
+[[package]]
+name = "mako"
+version = "1.3.2"
+description = "A super-fast templating language that borrows the best ideas from the existing templating languages."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "Mako-1.3.2-py3-none-any.whl", hash = "sha256:32a99d70754dfce237019d17ffe4a282d2d3351b9c476e90d8a60e63f133b80c"},
+    {file = "Mako-1.3.2.tar.gz", hash = "sha256:2a0c8ad7f6274271b3bb7467dd37cf9cc6dab4bc19cb69a4ef10669402de698e"},
+]
+
+[package.dependencies]
+MarkupSafe = ">=0.9.2"
+
+[package.extras]
+babel = ["Babel"]
+lingua = ["lingua"]
+testing = ["pytest"]
+
 [[package]]
 name = "markdown-it-py"
 version = "3.0.0"
@@ -2848,6 +3527,127 @@ files = [
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
 ]
 
+[[package]]
+name = "microchain-python"
+version = "0.3.5"
+description = ""
+optional = false
+python-versions = "*"
+files = []
+develop = false
+
+[package.dependencies]
+termcolor = "2.4.0"
+
+[package.source]
+type = "git"
+url = "https://github.com/evangriffiths/microchain.git"
+reference = "evan/token-tracker"
+resolved_reference = "de15ea0b5abc66634e7c9e16cc09dec3347fb177"
+
+[[package]]
+name = "mmh3"
+version = "4.1.0"
+description = "Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
+optional = false
+python-versions = "*"
+files = [
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 version = "10.2.0"
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+tests = ["pytest (>=4.6)"]
+
 [[package]]
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 version = "1.0.8"
@@ -3094,20 +3911,20 @@ files = [
 
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+version = "3.3"
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 test = ["pytest (>=7.2)", "pytest-cov (>=4.0)"]
 
 [[package]]
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 ]
 
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+optional = false
+python-versions = ">=3.6"
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+signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
+
+[[package]]
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+version = "1.17.1"
+description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
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+python-versions = "*"
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+]
+
+[package.dependencies]
+coloredlogs = "*"
+flatbuffers = "*"
+numpy = ">=1.21.6"
+packaging = "*"
+protobuf = "*"
+sympy = "*"
+
 [[package]]
 name = "openai"
 version = "1.16.2"
@@ -3273,6 +4148,29 @@ files = [
 [package.dependencies]
 opentelemetry-proto = "1.24.0"
 
+[[package]]
+name = "opentelemetry-exporter-otlp-proto-grpc"
+version = "1.24.0"
+description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.24.0.tar.gz", hash = "sha256:217c6e30634f2c9797999ea9da29f7300479a94a610139b9df17433f915e7baa"},
+]
+
+[package.dependencies]
+deprecated = ">=1.2.6"
+googleapis-common-protos = ">=1.52,<2.0"
+grpcio = ">=1.0.0,<2.0.0"
+opentelemetry-api = ">=1.15,<2.0"
+opentelemetry-exporter-otlp-proto-common = "1.24.0"
+opentelemetry-proto = "1.24.0"
+opentelemetry-sdk = ">=1.24.0,<1.25.0"
+
+[package.extras]
+test = ["pytest-grpc"]
+
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-http"
 version = "1.24.0"
@@ -3293,6 +4191,64 @@ opentelemetry-proto = "1.24.0"
 opentelemetry-sdk = ">=1.24.0,<1.25.0"
 requests = ">=2.7,<3.0"
 
+[[package]]
+name = "opentelemetry-instrumentation"
+version = "0.45b0"
+description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.dependencies]
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+setuptools = ">=16.0"
+wrapt = ">=1.0.0,<2.0.0"
+
+[[package]]
+name = "opentelemetry-instrumentation-asgi"
+version = "0.45b0"
+description = "ASGI instrumentation for OpenTelemetry"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[package.dependencies]
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+opentelemetry-api = ">=1.12,<2.0"
+opentelemetry-instrumentation = "0.45b0"
+opentelemetry-semantic-conventions = "0.45b0"
+opentelemetry-util-http = "0.45b0"
+
+[package.extras]
+instruments = ["asgiref (>=3.0,<4.0)"]
+
+[[package]]
+name = "opentelemetry-instrumentation-fastapi"
+version = "0.45b0"
+description = "OpenTelemetry FastAPI Instrumentation"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.dependencies]
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+opentelemetry-instrumentation = "0.45b0"
+opentelemetry-instrumentation-asgi = "0.45b0"
+opentelemetry-semantic-conventions = "0.45b0"
+opentelemetry-util-http = "0.45b0"
+
+[package.extras]
+instruments = ["fastapi (>=0.58,<1.0)"]
+
 [[package]]
 name = "opentelemetry-proto"
 version = "1.24.0"
@@ -3334,6 +4290,17 @@ files = [
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 ]
 
+[[package]]
+name = "opentelemetry-util-http"
+version = "0.45b0"
+description = "Web util for OpenTelemetry"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "opentelemetry_util_http-0.45b0.tar.gz", hash = "sha256:4ce08b6a7d52dd7c96b7705b5b4f06fdb6aa3eac1233b3b0bfef8a0cab9a92cd"},
+]
+
 [[package]]
 name = "orjson"
 version = "3.10.0"
@@ -3394,6 +4361,17 @@ files = [
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 ]
 
+[[package]]
+name = "overrides"
+version = "7.7.0"
+description = "A decorator to automatically detect mismatch when overriding a method."
+optional = false
+python-versions = ">=3.6"
+files = [
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+]
+
 [[package]]
 name = "packaging"
 version = "23.2"
@@ -3716,6 +4694,29 @@ files = [
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 poetry-core = ">=1.7.0,<2.0.0"
 
+[[package]]
+name = "posthog"
+version = "3.5.0"
+description = "Integrate PostHog into any python application."
+optional = false
+python-versions = "*"
+files = [
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+
+[package.dependencies]
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+monotonic = ">=1.5"
+python-dateutil = ">2.1"
+requests = ">=2.7,<3.0"
+six = ">=1.5"
+
+[package.extras]
+dev = ["black", "flake8", "flake8-print", "isort", "pre-commit"]
+sentry = ["django", "sentry-sdk"]
+test = ["coverage", "flake8", "freezegun (==0.3.15)", "mock (>=2.0.0)", "pylint", "pytest", "pytest-timeout"]
+
 [[package]]
 name = "prediction-market-agent-tooling"
 version = "0.9.3"
@@ -3803,6 +4804,53 @@ files = [
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 ]
 
+[[package]]
+name = "pulsar-client"
+version = "3.4.0"
+description = "Apache Pulsar Python client library"
+optional = false
+python-versions = "*"
+files = [
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+[package.dependencies]
+certifi = "*"
+
+[package.extras]
+all = ["apache-bookkeeper-client (>=4.16.1)", "fastavro (>=1.9.2)", "grpcio (>=1.60.0)", "prometheus-client", "protobuf (>=3.6.1,<=3.20.3)", "ratelimit"]
+avro = ["fastavro (>=1.9.2)"]
+functions = ["apache-bookkeeper-client (>=4.16.1)", "grpcio (>=1.60.0)", "prometheus-client", "protobuf (>=3.6.1,<=3.20.3)", "ratelimit"]
+
 [[package]]
 name = "pyarrow"
 version = "15.0.2"
@@ -3878,13 +4926,13 @@ pyasn1 = ">=0.4.6,<0.7.0"
 
 [[package]]
 name = "pyautogen"
-version = "0.2.21"
+version = "0.2.22"
 description = "Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework"
 optional = false
 python-versions = "<3.13,>=3.8"
 files = [
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@@ -3906,7 +4954,7 @@ jupyter-executor = ["ipykernel (>=6.29.0)", "jupyter-client (>=8.6.0)", "jupyter
 lmm = ["pillow", "replicate"]
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 redis = ["redis"]
-retrievechat = ["chromadb", "ipython", "pypdf", "sentence-transformers"]
+retrievechat = ["beautifulsoup4", "chromadb", "ipython", "markdownify", "pypdf", "sentence-transformers"]
 teachable = ["chromadb"]
 test = ["coverage (>=5.3)", "ipykernel", "nbconvert", "nbformat", "pandas", "pre-commit", "pytest (>=6.1.1,<8)", "pytest-asyncio"]
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@@ -4139,6 +5187,34 @@ files = [
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 windows-terminal = ["colorama (>=0.4.6)"]
 
+[[package]]
+name = "pypdf"
+version = "3.17.4"
+description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
+optional = false
+python-versions = ">=3.6"
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+]
+
+[package.extras]
+crypto = ["PyCryptodome", "cryptography"]
+dev = ["black", "flit", "pip-tools", "pre-commit (<2.18.0)", "pytest-cov", "pytest-socket", "pytest-timeout", "pytest-xdist", "wheel"]
+docs = ["myst_parser", "sphinx", "sphinx_rtd_theme"]
+full = ["Pillow (>=8.0.0)", "PyCryptodome", "cryptography"]
+image = ["Pillow (>=8.0.0)"]
+
+[[package]]
+name = "pypika"
+version = "0.48.9"
+description = "A SQL query builder API for Python"
+optional = false
+python-versions = "*"
+files = [
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+]
+
 [[package]]
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 version = "1.0.0"
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 [package.dependencies]
 tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
 
+[[package]]
+name = "pyreadline3"
+version = "3.4.1"
+description = "A python implementation of GNU readline."
+optional = false
+python-versions = "*"
+files = [
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+
+[[package]]
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+description = "pysbd (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box across many languages."
+optional = false
+python-versions = ">=3"
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 [[package]]
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 version = "8.1.1"
@@ -4209,13 +5306,13 @@ six = ">=1.5"
 
 [[package]]
 name = "python-dotenv"
-version = "1.0.1"
+version = "1.0.0"
 description = "Read key-value pairs from a .env file and set them as environment variables"
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 ]
 
 [package.extras]
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 socks = ["PySocks (>=1.5.6,!=1.5.7)"]
 use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
+[[package]]
+name = "requests-oauthlib"
+version = "2.0.0"
+description = "OAuthlib authentication support for Requests."
+optional = false
+python-versions = ">=3.4"
+files = [
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+]
+
+[package.dependencies]
+oauthlib = ">=3.0.0"
+requests = ">=2.0.0"
+
+[package.extras]
+rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
+
 [[package]]
 name = "requests-toolbelt"
 version = "1.0.0"
@@ -4770,6 +5885,20 @@ files = [
 [package.dependencies]
 pyasn1 = ">=0.1.3"
 
+[[package]]
+name = "schema"
+version = "0.7.5"
+description = "Simple data validation library"
+optional = false
+python-versions = "*"
+files = [
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+
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+contextlib2 = ">=0.5.5"
+
 [[package]]
 name = "scikit-learn"
 version = "1.4.1.post1"
@@ -4887,6 +6016,79 @@ requests = "*"
 color = ["pygments"]
 test = ["pytest"]
 
+[[package]]
+name = "setuptools"
+version = "69.2.0"
+description = "Easily download, build, install, upgrade, and uninstall Python packages"
+optional = false
+python-versions = ">=3.8"
+files = [
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+
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+    {file = "shapely-2.0.3.tar.gz", hash = "sha256:4d65d0aa7910af71efa72fd6447e02a8e5dd44da81a983de9d736d6e6ccbe674"},
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+
+[package.dependencies]
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+
+[package.extras]
+docs = ["matplotlib", "numpydoc (==1.1.*)", "sphinx", "sphinx-book-theme", "sphinx-remove-toctrees"]
+test = ["pytest", "pytest-cov"]
+
 [[package]]
 name = "shellingham"
 version = "1.5.4"
@@ -5029,6 +6231,23 @@ postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
 sqlcipher = ["sqlcipher3_binary"]
 
+[[package]]
+name = "starlette"
+version = "0.37.2"
+description = "The little ASGI library that shines."
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[package.dependencies]
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+
+[package.extras]
+full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.7)", "pyyaml"]
+
 [[package]]
 name = "streamlit"
 version = "1.33.0"
@@ -5087,6 +6306,20 @@ all = ["dash (>=2.3.1,<3.0.0)", "plotly (>=5.14.1,<6.0.0)"]
 dash = ["dash (>=2.3.1,<3.0.0)"]
 plotly = ["plotly (>=5.14.1,<6.0.0)"]
 
+[[package]]
+name = "sympy"
+version = "1.12"
+description = "Computer algebra system (CAS) in Python"
+optional = false
+python-versions = ">=3.8"
+files = [
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+]
+
+[package.dependencies]
+mpmath = ">=0.19"
+
 [[package]]
 name = "tabulate"
 version = "0.9.0"
@@ -5207,6 +6440,133 @@ requests = ">=2.26.0"
 [package.extras]
 blobfile = ["blobfile (>=2)"]
 
+[[package]]
+name = "tokenizers"
+version = "0.15.2"
+description = ""
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.dependencies]
+anyio = ">=3.0.0"
+
 [[package]]
 name = "web3"
 version = "6.16.0"
@@ -5498,6 +7015,22 @@ ipfs = ["ipfshttpclient (==0.8.0a2)"]
 linter = ["black (>=22.1.0)", "flake8 (==3.8.3)", "isort (>=5.11.0)", "mypy (==1.4.1)", "types-protobuf (==3.19.13)", "types-requests (>=2.26.1)", "types-setuptools (>=57.4.4)"]
 tester = ["eth-tester[py-evm] (==v0.9.1-b.2)", "py-geth (>=3.14.0)"]
 
+[[package]]
+name = "websocket-client"
+version = "1.7.0"
+description = "WebSocket client for Python with low level API options"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"},
+    {file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"},
+]
+
+[package.extras]
+docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"]
+optional = ["python-socks", "wsaccel"]
+test = ["websockets"]
+
 [[package]]
 name = "websockets"
 version = "12.0"
@@ -5883,4 +7416,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = "~3.10.0"
-content-hash = "19fce4c337b4407be6353efd8af7e4eb296fd4575b3ea1967aeda289c58c8939"
+content-hash = "fef761809aab417b1012bd67e68b9b52b6d33a09fb2b5904c1a54306b334bd7a"
diff --git a/prediction_market_agent/agents/microchain_agent/functions.py b/prediction_market_agent/agents/microchain_agent/functions.py
new file mode 100644
index 00000000..dd74e9fe
--- /dev/null
+++ b/prediction_market_agent/agents/microchain_agent/functions.py
@@ -0,0 +1,224 @@
+import pprint
+import typing as t
+from decimal import Decimal
+
+from microchain import Function
+from prediction_market_agent_tooling.markets.data_models import BetAmount, Currency
+from prediction_market_agent_tooling.markets.omen.data_models import (
+    OMEN_FALSE_OUTCOME,
+    OMEN_TRUE_OUTCOME,
+    get_boolean_outcome,
+)
+from prediction_market_agent_tooling.markets.omen.omen import OmenAgentMarket
+
+from prediction_market_agent.agents.microchain_agent.utils import (
+    MicroMarket,
+    get_omen_binary_market_from_question,
+    get_omen_binary_markets,
+    get_omen_market_token_balance,
+)
+
+balance = 50
+outcomeTokens = {}
+outcomeTokens["Will Joe Biden get reelected in 2024?"] = {"yes": 0, "no": 0}
+outcomeTokens["Will Bitcoin hit 100k in 2024?"] = {"yes": 0, "no": 0}
+
+
+class Sum(Function):
+    @property
+    def description(self) -> str:
+        return "Use this function to compute the sum of two numbers"
+
+    @property
+    def example_args(self) -> list[float]:
+        return [2, 2]
+
+    def __call__(self, a: float, b: float) -> float:
+        return a + b
+
+
+class Product(Function):
+    @property
+    def description(self) -> str:
+        return "Use this function to compute the product of two numbers"
+
+    @property
+    def example_args(self) -> list[float]:
+        return [2, 2]
+
+    def __call__(self, a: float, b: float) -> float:
+        return a * b
+
+
+class GetMarkets(Function):
+    @property
+    def description(self) -> str:
+        return "Use this function to get a list of predction markets and the current yes prices"
+
+    @property
+    def example_args(self) -> list[str]:
+        return []
+
+    def __call__(self) -> list[str]:
+        return [
+            str(MicroMarket.from_agent_market(m)) for m in get_omen_binary_markets()
+        ]
+
+
+class GetPropabilityForQuestion(Function):
+    @property
+    def description(self) -> str:
+        return "Use this function to research the probability of an event occuring"
+
+    @property
+    def example_args(self) -> list[str]:
+        return ["Will Joe Biden get reelected in 2024?"]
+
+    def __call__(self, a: str) -> float:
+        if a == "Will Joe Biden get reelected in 2024?":
+            return 0.41
+        if a == "Will Bitcoin hit 100k in 2024?":
+            return 0.22
+
+        return 0.0
+
+
+class GetBalance(Function):
+    @property
+    def description(self) -> str:
+        return "Use this function to get your own balance in $"
+
+    @property
+    def example_args(self) -> list[str]:
+        return []
+
+    def __call__(self) -> float:
+        print(f"Your balance is: {balance} and ")
+        pprint.pprint(outcomeTokens)
+        return balance
+
+
+class BuyTokens(Function):
+    def __init__(self, outcome: str):
+        self.outcome = outcome
+        super().__init__()
+
+    @property
+    def description(self) -> str:
+        return f"Use this function to buy {self.outcome} outcome tokens of a prediction market. The second parameter specifies how much $ you spend."
+
+    @property
+    def example_args(self) -> list[t.Union[str, float]]:
+        return ["Will Joe Biden get reelected in 2024?", 2.3]
+
+    def __call__(self, market: str, amount: float) -> str:
+        outcome_bool = get_boolean_outcome(self.outcome)
+
+        market_obj: OmenAgentMarket = get_omen_binary_market_from_question(market)
+        before_balance = get_omen_market_token_balance(
+            market=market_obj, outcome=outcome_bool
+        )
+        market_obj.place_bet(
+            outcome_bool, BetAmount(amount=Decimal(amount), currency=Currency.xDai)
+        )
+        tokens = (
+            get_omen_market_token_balance(market=market_obj, outcome=outcome_bool)
+            - before_balance
+        )
+        return f"Bought {tokens} {self.outcome} outcome tokens of: {market}"
+
+
+class BuyYes(BuyTokens):
+    def __init__(self) -> None:
+        super().__init__(OMEN_TRUE_OUTCOME)
+
+
+class BuyNo(BuyTokens):
+    def __init__(self) -> None:
+        super().__init__(OMEN_FALSE_OUTCOME)
+
+
+class SellYes(Function):
+    @property
+    def description(self) -> str:
+        return "Use this function to sell yes outcome tokens of a prediction market. The second parameter specifies how much tokens you sell."
+
+    @property
+    def example_args(self) -> list[t.Union[str, float]]:
+        return ["Will Joe Biden get reelected in 2024?", 2]
+
+    def __call__(self, market: str, amount: int) -> str:
+        global outcomeTokens
+        if amount > outcomeTokens[market]["yes"]:
+            return f"Your balance of {outcomeTokens[market]['yes']} yes outcome tokens is not large enough to sell {amount}."
+
+        outcomeTokens[market]["yes"] -= amount
+        return "Sold " + str(amount) + " yes outcome token of: " + market
+
+
+class SellNo(Function):
+    @property
+    def description(self) -> str:
+        return "Use this function to sell no outcome tokens of a prdiction market. The second parameter specifies how much tokens you sell."
+
+    @property
+    def example_args(self) -> list[t.Union[str, float]]:
+        return ["Will Joe Biden get reelected in 2024?", 4]
+
+    def __call__(self, market: str, amount: int) -> str:
+        global outcomeTokens
+        if amount > outcomeTokens[market]["no"]:
+            return f"Your balance of {outcomeTokens[market]['no']} no outcome tokens is not large enough to sell {amount}."
+
+        outcomeTokens[market]["no"] -= amount
+        return "Sold " + str(amount) + " no outcome token of: " + market
+
+
+class BalanceToOutcomes(Function):
+    @property
+    def description(self) -> str:
+        return "Use this function to convert your balance into equal units of 'yes' and 'no' outcome tokens. The function takes the amount of balance as the argument."
+
+    @property
+    def example_args(self) -> list[t.Union[str, float]]:
+        return ["Will Joe Biden get reelected in 2024?", 50]
+
+    def __call__(self, market: str, amount: int) -> str:
+        global balance
+        global outcomeTokens
+        outcomeTokens[market]["yes"] += amount
+        outcomeTokens[market]["no"] += amount
+        balance -= amount
+        return f"Converted {amount} units of balance into {amount} 'yes' outcome tokens and {amount} 'no' outcome tokens. Remaining balance is {balance}."
+
+
+class SummarizeLearning(Function):
+    @property
+    def description(self) -> str:
+        return "Use this function summarize your learnings and save them so that you can access them later."
+
+    @property
+    def example_args(self) -> list[str]:
+        return [
+            "Today I learned that I need to check my balance fore making decisions about how much to invest."
+        ]
+
+    def __call__(self, summary: str) -> str:
+        # print(summary)
+        # pprint.pprint(outcomeTokens)
+        return summary
+
+
+ALL_FUNCTIONS = [
+    Sum,
+    Product,
+    GetMarkets,
+    GetPropabilityForQuestion,
+    GetBalance,
+    BuyYes,
+    BuyNo,
+    SellYes,
+    SellNo,
+    # BalanceToOutcomes,
+    SummarizeLearning,
+]
diff --git a/prediction_market_agent/agents/microchain_agent/microchain_agent.py b/prediction_market_agent/agents/microchain_agent/microchain_agent.py
new file mode 100644
index 00000000..28f43011
--- /dev/null
+++ b/prediction_market_agent/agents/microchain_agent/microchain_agent.py
@@ -0,0 +1,34 @@
+import os
+
+from dotenv import load_dotenv
+from functions import ALL_FUNCTIONS
+from microchain import LLM, Agent, Engine, OpenAIChatGenerator
+from microchain.functions import Reasoning, Stop
+
+load_dotenv()
+
+engine = Engine()
+engine.register(Reasoning())
+engine.register(Stop())
+for function in ALL_FUNCTIONS:
+    engine.register(function())
+
+generator = OpenAIChatGenerator(
+    model="gpt-4-turbo-preview",
+    api_key=os.getenv("OPENAI_API_KEY"),
+    api_base="https://api.openai.com/v1",
+    temperature=0.7,
+)
+agent = Agent(llm=LLM(generator=generator), engine=engine)
+agent.prompt = f"""Act as a agent. You can use the following functions:
+ 
+{engine.help}
+ 
+ 
+Only output valid Python function calls.
+ 
+"""
+
+agent.bootstrap = ['Reasoning("I need to reason step-by-step")']
+agent.run(iterations=3)
+generator.print_usage()
diff --git a/prediction_market_agent/agents/microchain_agent/utils.py b/prediction_market_agent/agents/microchain_agent/utils.py
new file mode 100644
index 00000000..f30530cd
--- /dev/null
+++ b/prediction_market_agent/agents/microchain_agent/utils.py
@@ -0,0 +1,47 @@
+from typing import List, cast
+
+from prediction_market_agent_tooling.markets.agent_market import (
+    AgentMarket,
+    FilterBy,
+    SortBy,
+)
+from prediction_market_agent_tooling.markets.omen.omen import OmenAgentMarket
+from pydantic import BaseModel
+
+
+class MicroMarket(BaseModel):
+    question: str
+    p_yes: float
+
+    @staticmethod
+    def from_agent_market(market: OmenAgentMarket) -> "MicroMarket":
+        return MicroMarket(
+            question=market.question,
+            p_yes=float(market.p_yes),
+        )
+
+    def __str__(self) -> str:
+        return f"'{self.question}' with probability of yes: {self.p_yes:.2%}"
+
+
+def get_omen_binary_markets() -> list[OmenAgentMarket]:
+    # Get the 5 markets that are closing soonest
+    markets: list[AgentMarket] = OmenAgentMarket.get_binary_markets(
+        filter_by=FilterBy.OPEN,
+        sort_by=SortBy.CLOSING_SOONEST,
+        limit=5,
+    )
+    return cast(List[OmenAgentMarket], markets)
+
+
+def get_omen_binary_market_from_question(market: str) -> OmenAgentMarket:
+    markets = get_omen_binary_markets()
+    for m in markets:
+        if m.question == market:
+            return m
+    raise ValueError(f"Market '{market}' not found")
+
+
+def get_omen_market_token_balance(market: OmenAgentMarket, outcome: bool) -> float:
+    # TODO implement this
+    return 7.3
diff --git a/pyproject.toml b/pyproject.toml
index a8ca72e3..f5374f04 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -41,6 +41,8 @@ autoflake = "^2.2.1"
 isort = "^5.13.2"
 markdownify = "^0.11.6"
 tavily-python = "^0.3.1"
+# TODO remove when PR is merged
+microchain-python = {git = "https://github.com/evangriffiths/microchain.git", rev = "evan/token-tracker"}
 
 [build-system]
 requires = ["poetry-core"]
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/agents/__init__.py b/tests/agents/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/agents/test_microchain.py b/tests/agents/test_microchain.py
new file mode 100644
index 00000000..cc024abb
--- /dev/null
+++ b/tests/agents/test_microchain.py
@@ -0,0 +1,30 @@
+import pytest
+
+from prediction_market_agent.agents.microchain_agent.functions import (
+    BuyNo,
+    BuyYes,
+    GetMarkets,
+)
+from prediction_market_agent.agents.microchain_agent.utils import (
+    get_omen_binary_markets,
+)
+from tests.utils import RUN_PAID_TESTS
+
+
+def test_get_markets() -> None:
+    get_markets = GetMarkets()
+    assert len(get_markets()) > 0
+
+
+@pytest.mark.skipif(not RUN_PAID_TESTS, reason="This test costs money to run.")
+def test_buy_yes() -> None:
+    market = get_omen_binary_markets()[0]
+    buy_yes = BuyYes()
+    print(buy_yes(market.question, 0.0001))
+
+
+@pytest.mark.skipif(not RUN_PAID_TESTS, reason="This test costs money to run.")
+def test_buy_no() -> None:
+    market = get_omen_binary_markets()[0]
+    buy_yes = BuyNo()
+    print(buy_yes(market.question, 0.0001))
diff --git a/tests/utils.py b/tests/utils.py
new file mode 100644
index 00000000..f2cf1cdc
--- /dev/null
+++ b/tests/utils.py
@@ -0,0 +1,3 @@
+import os
+
+RUN_PAID_TESTS = os.environ.get("RUN_PAID_TESTS", "0") == "1"