diff --git a/.dockerignore b/.dockerignore
new file mode 100644
index 0000000..e97e1f9
--- /dev/null
+++ b/.dockerignore
@@ -0,0 +1,13 @@
+# Docker specific ignores:
+.git
+
+# .gitignore ignores:
+.env
+.venv
+.agents_workspace
+.cache
+__pycache__
+*.egg-info
+logs
+.mypy_cache
+.pytest_cache
diff --git a/.github/actions/python_prepare/action.yaml b/.github/actions/python_prepare/action.yaml
new file mode 100644
index 0000000..da07bc8
--- /dev/null
+++ b/.github/actions/python_prepare/action.yaml
@@ -0,0 +1,15 @@
+name: "Prepare Python environment"
+description: "Set up Python and install dependencies"
+runs:
+  using: "composite"
+  steps:
+    - name: Set up Python 3.10
+      uses: actions/setup-python@v2
+      with:
+        python-version: 3.10.14
+    - name: Install Poetry
+      shell: bash
+      run: curl -sSL https://install.python-poetry.org | python3 -
+    - name: Install dependencies
+      shell: bash
+      run: poetry install
diff --git a/.github/workflows/python_cd.yaml b/.github/workflows/python_cd.yaml
new file mode 100644
index 0000000..2e3c22a
--- /dev/null
+++ b/.github/workflows/python_cd.yaml
@@ -0,0 +1,46 @@
+name: Python CD
+
+on:
+  push:
+    branches: [main]
+  workflow_dispatch:
+
+env:
+  REGISTRY: ghcr.io
+  IMAGE_NAME: ${{ github.repository }}
+
+jobs:
+  build-and-push-image:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      packages: write
+    steps:
+      - name: Checkout Repository
+        uses: actions/checkout@v3
+        with:
+          token: ${{ secrets.GITHUB_TOKEN }}
+      # Uses the `docker/login-action` action to log in to the Container registry registry using the account and password that will publish the packages. 
+      # Once published, the packages are scoped to the account defined here.
+      - name: Log in to the Container registry
+        uses: docker/login-action@65b78e6e13532edd9afa3aa52ac7964289d1a9c1
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+      # This step uses [docker/metadata-action](https://github.com/docker/metadata-action#about) to extract tags and labels that will be applied to the specified image. 
+      # The `id` "meta" allows the output of this step to be referenced in a subsequent step. The `images` value provides the base name for the tags and labels.
+      - name: Extract metadata (tags, labels) for Docker
+        id: meta
+        uses: docker/metadata-action@9ec57ed1fcdbf14dcef7dfbe97b2010124a938b7
+        with:
+          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+      # This step uses the `docker/build-push-action` action to build the image, based on your repository's `Dockerfile`. If the build succeeds, it pushes the image to GitHub Packages.
+      # It uses the `context` parameter to define the build's context as the set of files located in the specified path. For more information, see "[Usage](https://github.com/docker/build-push-action#usage)" in the README of the `docker/build-push-action` repository.
+      # It uses the `tags` and `labels` parameters to tag and label the image with the output from the "meta" step.
+      - name: Build and push Docker image
+        uses: docker/build-push-action@4a13e500e55cf31b7a5d59a38ab2040ab0f42f56
+        with:
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
diff --git a/.github/workflows/python_ci.yaml b/.github/workflows/python_ci.yaml
new file mode 100644
index 0000000..7ff906c
--- /dev/null
+++ b/.github/workflows/python_ci.yaml
@@ -0,0 +1,71 @@
+name: Python CI
+
+on:
+  pull_request:
+  push:
+    branches: [main]
+  workflow_dispatch:
+
+env:
+  MANIFOLD_API_KEY: ${{ secrets.MANIFOLD_API_KEY }}
+  SERP_API_KEY: ${{ secrets.SERP_API_KEY }}
+  OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+  BET_FROM_PRIVATE_KEY: ${{ secrets.BET_FROM_PRIVATE_KEY }}
+
+jobs:
+  mypy:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - uses: ./.github/actions/python_prepare
+      - name: Run mypy
+        run: poetry run mypy
+
+  pytest:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - uses: ./.github/actions/python_prepare
+      - name: Run pytest
+        run: poetry run pytest
+
+  pytest-paid:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - uses: ./.github/actions/python_prepare
+      - name: Run pytest
+        run: poetry run pytest
+        env:
+          RUN_PAID_TESTS: "1"
+    if: github.event_name == 'workflow_dispatch'
+    # TODO: Remove once the environment variables are fixed in the new repository.
+    continue-on-error: true
+
+  black:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - uses: ./.github/actions/python_prepare
+      - name: Check with black
+        run: poetry run black --check .
+
+  autoflake:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - uses: ./.github/actions/python_prepare
+      - name: Check with autoflake
+        run: |
+          poetry run autoflake --in-place --remove-all-unused-imports --remove-unused-variables --recursive .
+          git diff --exit-code --quiet || exit 1
+
+  isort:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - uses: ./.github/actions/python_prepare
+      - name: Check with isort
+        run: |
+          poetry run isort --profile black .
+          git diff --exit-code --quiet || exit 1
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..517c90d
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,9 @@
+.env
+.venv
+.agents_workspace
+.cache
+__pycache__
+*.egg-info
+logs
+.mypy_cache
+.pytest_cache
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000..78591e1
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,31 @@
+# Install Poetry and create venv in the builder step,
+# then copy the venv to the runtime image, so that the runtime image is as small as possible.
+FROM --platform=linux/amd64 python:3.10.14-slim-bookworm AS builder
+
+RUN pip install poetry==1.8.2
+
+ENV POETRY_NO_INTERACTION=1 \
+    POETRY_VIRTUALENVS_IN_PROJECT=1 \
+    POETRY_VIRTUALENVS_CREATE=1 \
+    POETRY_CACHE_DIR=/tmp/poetry_cache
+
+WORKDIR /app
+
+COPY pyproject.toml poetry.lock ./
+
+RUN --mount=type=cache,target=$POETRY_CACHE_DIR poetry install --no-root --only main
+
+FROM --platform=linux/amd64 python:3.10.14-slim-bookworm AS runtime
+
+ENV VIRTUAL_ENV=/app/.venv \
+    PATH="/app/.venv/bin:$PATH"
+
+WORKDIR /app
+
+COPY --from=builder ${VIRTUAL_ENV} ${VIRTUAL_ENV}
+
+COPY mech_tool_deployment ./mech_tool_deployment
+
+ENV PYTHONPATH=/app
+
+CMD ["bash", "-c", "python mech_tool_deployment/run_agent.py ${runnable_agent_name} ${market_type}"]
diff --git a/LICENSE b/LICENSE
new file mode 100644
index 0000000..f288702
--- /dev/null
+++ b/LICENSE
@@ -0,0 +1,674 @@
+                    GNU GENERAL PUBLIC LICENSE
+                       Version 3, 29 June 2007
+
+ Copyright (C) 2007 Free Software Foundation, Inc. <https://fsf.org/>
+ Everyone is permitted to copy and distribute verbatim copies
+ of this license document, but changing it is not allowed.
+
+                            Preamble
+
+  The GNU General Public License is a free, copyleft license for
+software and other kinds of works.
+
+  The licenses for most software and other practical works are designed
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+the GNU General Public License is intended to guarantee your freedom to
+share and change all versions of a program--to make sure it remains free
+software for all its users.  We, the Free Software Foundation, use the
+GNU General Public License for most of our software; it applies also to
+any other work released this way by its authors.  You can apply it to
+your programs, too.
+
+  When we speak of free software, we are referring to freedom, not
+price.  Our General Public Licenses are designed to make sure that you
+have the freedom to distribute copies of free software (and charge for
+them if you wish), that you receive source code or can get it if you
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+certain responsibilities if you distribute copies of the software, or if
+you modify it: responsibilities to respect the freedom of others.
+
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+
+  Developers that use the GNU GPL protect your rights with two steps:
+(1) assert copyright on the software, and (2) offer you this License
+giving you legal permission to copy, distribute and/or modify it.
+
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+that there is no warranty for this free software.  For both users' and
+authors' sake, the GPL requires that modified versions be marked as
+changed, so that their problems will not be attributed erroneously to
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+<https://www.gnu.org/licenses/why-not-lgpl.html>.
diff --git a/README.md b/README.md
index 7070c4e..2e294b7 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,3 @@
 # Mech Tool Deployment
+
 For deploying agents that use mech tools (from https://github.com/valory-xyz/mech) to inform their participation in prediction markets
diff --git a/build_and_push.sh b/build_and_push.sh
new file mode 100755
index 0000000..cb5b4c6
--- /dev/null
+++ b/build_and_push.sh
@@ -0,0 +1,4 @@
+#!/bin/bash
+# This script builds the docker image and pushes it to the GitHub Container Registry,
+# it should be done from Github's CD pipeline, but keeping it here for any testing purposes required in the future.
+docker build . -t ghcr.io/gnosis/mech-tool-deployment:test && docker push ghcr.io/gnosis/mech-tool-deployment:test
diff --git a/mech_tool_deployment/__init__.py b/mech_tool_deployment/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/mech_tool_deployment/agents/mech_agent/deploy.py b/mech_tool_deployment/agents/mech_agent/deploy.py
new file mode 100644
index 0000000..aba594f
--- /dev/null
+++ b/mech_tool_deployment/agents/mech_agent/deploy.py
@@ -0,0 +1,66 @@
+from prediction_market_agent_tooling.benchmark.utils import OutcomePrediction
+from prediction_market_agent_tooling.deploy.agent import DeployableAgent
+from prediction_market_agent_tooling.markets.agent_market import AgentMarket
+
+from mech_tool_deployment.utils import MechResponse, MechTool, mech_request_local
+
+
+class DeployableMechAgentBase(DeployableAgent):
+    bet_on_n_markets_per_run: int = 5
+
+    def load(self) -> None:
+        self.tool: MechTool | None = None
+        self.local: bool | None = None
+
+    def answer_binary_market(self, market: AgentMarket) -> OutcomePrediction:
+        if self.tool is None:
+            raise ValueError("Tool not set")
+
+        response: MechResponse = mech_request_local(market.question, self.tool)
+        outcome_prediction = OutcomePrediction(
+            decision=response.p_yes > 0.5,
+            p_yes=response.p_yes,
+            confidence=response.confidence,
+            info_utility=response.info_utility,
+        )
+        return outcome_prediction
+
+
+class DeployablePredictionOnlineAgent(DeployableMechAgentBase):
+    def load(self) -> None:
+        self.tool = MechTool.PREDICTION_ONLINE
+
+
+class DeployablePredictionOfflineAgent(DeployableMechAgentBase):
+    def load(self) -> None:
+        self.tool = MechTool.PREDICTION_OFFLINE
+
+
+class DeployablePredictionOnlineSMEAgent(DeployableMechAgentBase):
+    def load(self) -> None:
+        self.tool = MechTool.PREDICTION_ONLINE_SME
+
+
+class DeployablePredictionOfflineSMEAgent(DeployableMechAgentBase):
+    def load(self) -> None:
+        self.tool = MechTool.PREDICTION_OFFLINE_SME
+
+
+class DeployablePredictionRequestRAGAgent(DeployableMechAgentBase):
+    def load(self) -> None:
+        self.tool = MechTool.PREDICTION_REQUEST_RAG
+
+
+class DeployablePredictionRequestReasoningAgent(DeployableMechAgentBase):
+    def load(self) -> None:
+        self.tool = MechTool.PREDICTION_REQUEST_REASONING
+
+
+class DeployablePredictionUrlCotAgent(DeployableMechAgentBase):
+    def load(self) -> None:
+        self.tool = MechTool.PREDICTION_URL_COT
+
+
+class DeployablePredictionWithResearchBoldAgent(DeployableMechAgentBase):
+    def load(self) -> None:
+        self.tool = MechTool.PREDICTION_WITH_RESEARCH_REPORT_BOLD
diff --git a/mech_tool_deployment/api_keys.py b/mech_tool_deployment/api_keys.py
new file mode 100644
index 0000000..36988bf
--- /dev/null
+++ b/mech_tool_deployment/api_keys.py
@@ -0,0 +1,15 @@
+import typing as t
+
+from prediction_market_agent_tooling.config import APIKeys
+from prediction_market_agent_tooling.tools.utils import check_not_none
+from pydantic import SecretStr
+
+
+class MechAPIKeys(APIKeys):
+    TAVILY_API_KEY: t.Optional[SecretStr] = None
+
+    @property
+    def tavily_api_key(self) -> SecretStr:
+        return check_not_none(
+            self.TAVILY_API_KEY, "OPENAI_API_KEY missing in the environment."
+        )
diff --git a/mech_tool_deployment/run_agent.py b/mech_tool_deployment/run_agent.py
new file mode 100644
index 0000000..de398d1
--- /dev/null
+++ b/mech_tool_deployment/run_agent.py
@@ -0,0 +1,54 @@
+"""
+Entrypoint for running the agent in GKE.
+If the agent adheres to PMAT standard (subclasses DeployableAgent), 
+simply add the agent to the `RunnableAgent` enum and then `RUNNABLE_AGENTS` dict.
+
+Can also be executed locally, simply by running `python mech_tool_deployment/run_agent.py <agent> <market_type>`.
+"""
+
+from enum import Enum
+
+import typer
+from prediction_market_agent_tooling.markets.markets import MarketType
+
+from mech_tool_deployment.agents.mech_agent.deploy import (
+    DeployablePredictionOfflineAgent,
+    DeployablePredictionOfflineSMEAgent,
+    DeployablePredictionOnlineAgent,
+    DeployablePredictionOnlineSMEAgent,
+    DeployablePredictionRequestRAGAgent,
+    DeployablePredictionRequestReasoningAgent,
+    DeployablePredictionUrlCotAgent,
+    DeployablePredictionWithResearchBoldAgent,
+)
+
+
+class RunnableAgent(str, Enum):
+    mech_prediction_online = "mech_prediction-online"
+    mech_prediction_offline = "mech_prediction-offline"
+    mech_prediction_online_sme = "mech_prediction-online-sme"
+    mech_prediction_offline_sme = "mech_prediction-offline-sme"
+    mech_prediction_request_rag = "mech_prediction-request-rag"
+    mech_prediction_request_reasoning = "mech_prediction-request-reasoning"
+    mech_prediction_url_cot = "mech_prediction-url-cot"
+    mech_prediction_with_research_bold = "mech_prediction-with-research-bold"
+
+
+RUNNABLE_AGENTS = {
+    RunnableAgent.mech_prediction_online: DeployablePredictionOnlineAgent,
+    RunnableAgent.mech_prediction_offline: DeployablePredictionOfflineAgent,
+    RunnableAgent.mech_prediction_online_sme: DeployablePredictionOnlineSMEAgent,
+    RunnableAgent.mech_prediction_offline_sme: DeployablePredictionOfflineSMEAgent,
+    RunnableAgent.mech_prediction_request_rag: DeployablePredictionRequestRAGAgent,
+    RunnableAgent.mech_prediction_request_reasoning: DeployablePredictionRequestReasoningAgent,
+    RunnableAgent.mech_prediction_url_cot: DeployablePredictionUrlCotAgent,
+    RunnableAgent.mech_prediction_with_research_bold: DeployablePredictionWithResearchBoldAgent,
+}
+
+
+def main(agent: RunnableAgent, market_type: MarketType) -> None:
+    RUNNABLE_AGENTS[agent]().run(market_type)
+
+
+if __name__ == "__main__":
+    typer.run(main)
diff --git a/mech_tool_deployment/utils.py b/mech_tool_deployment/utils.py
new file mode 100644
index 0000000..65e17a4
--- /dev/null
+++ b/mech_tool_deployment/utils.py
@@ -0,0 +1,131 @@
+import json
+import typing as t
+from enum import Enum
+
+from packages.napthaai.customs.prediction_request_rag import prediction_request_rag
+from packages.napthaai.customs.prediction_request_reasoning import (
+    prediction_request_reasoning,
+)
+from packages.napthaai.customs.prediction_url_cot import prediction_url_cot
+from packages.nickcom007.customs.prediction_request_sme import prediction_request_sme
+from packages.polywrap.customs.prediction_with_research_report import (
+    prediction_with_research_report,
+)
+from packages.valory.customs.prediction_request import prediction_request
+from prediction_market_agent_tooling.gtypes import Probability
+from pydantic import BaseModel
+
+from mech_tool_deployment.api_keys import MechAPIKeys
+
+
+def completion_str_to_json(completion: str) -> dict[str, t.Any]:
+    """
+    Cleans completion JSON in form of a string:
+
+    ```json
+    {
+        ...
+    }
+    ```
+
+    into just { ... }
+    ```
+    """
+    start_index = completion.find("{")
+    end_index = completion.rfind("}")
+    completion = completion[start_index : end_index + 1]
+    completion_dict: dict[str, t.Any] = json.loads(completion)
+    return completion_dict
+
+
+class MechResponse(BaseModel):
+    p_yes: Probability
+    p_no: Probability
+    confidence: Probability
+    info_utility: Probability
+
+
+class MechTool(str, Enum):
+    PREDICTION_WITH_RESEARCH_REPORT = "prediction-with-research-conservative"
+    PREDICTION_WITH_RESEARCH_REPORT_BOLD = "prediction-with-research-bold"
+    PREDICTION_ONLINE = "prediction-online"
+    PREDICTION_OFFLINE = "prediction-offline"
+    PREDICTION_ONLINE_SME = "prediction-online-sme"
+    PREDICTION_OFFLINE_SME = "prediction-offline-sme"
+    PREDICTION_REQUEST_RAG = "prediction-request-rag"
+    PREDICTION_REQUEST_REASONING = "prediction-request-reasoning"
+    PREDICTION_URL_COT = "prediction-url-cot"
+
+
+def mech_request_local(
+    question: str,
+    mech_tool: MechTool,
+) -> MechResponse:
+    keys = MechAPIKeys()
+    if mech_tool in [
+        MechTool.PREDICTION_WITH_RESEARCH_REPORT,
+        MechTool.PREDICTION_WITH_RESEARCH_REPORT_BOLD,
+    ]:
+        response = prediction_with_research_report.run(
+            tool=mech_tool.value,
+            prompt=question,
+            api_keys={
+                "openai": keys.openai_api_key.get_secret_value(),
+                "tavily": keys.tavily_api_key.get_secret_value(),
+            },
+        )
+    elif mech_tool in [MechTool.PREDICTION_ONLINE, MechTool.PREDICTION_OFFLINE]:
+        response = prediction_request.run(
+            tool=mech_tool.value,
+            prompt=question,
+            api_keys={
+                "openai": keys.openai_api_key.get_secret_value(),
+                "google_api_key": keys.google_search_api_key.get_secret_value(),
+                "google_engine_id": keys.google_search_engine_id.get_secret_value(),
+            },
+        )
+    elif mech_tool in [MechTool.PREDICTION_ONLINE_SME, MechTool.PREDICTION_OFFLINE_SME]:
+        response = prediction_request_sme.run(
+            tool=mech_tool.value,
+            prompt=question,
+            api_keys={
+                "openai": keys.openai_api_key.get_secret_value(),
+                "google_api_key": keys.google_search_api_key.get_secret_value(),
+                "google_engine_id": keys.google_search_engine_id.get_secret_value(),
+            },
+        )
+    elif mech_tool == MechTool.PREDICTION_REQUEST_RAG:
+        response = prediction_request_rag.run(
+            tool=mech_tool.value,
+            prompt=question,
+            api_keys={
+                "openai": keys.openai_api_key.get_secret_value(),
+                "google_api_key": keys.google_search_api_key.get_secret_value(),
+                "google_engine_id": keys.google_search_engine_id.get_secret_value(),
+            },
+        )
+    elif mech_tool == MechTool.PREDICTION_REQUEST_REASONING:
+        response = prediction_request_reasoning.run(
+            tool=mech_tool.value,
+            prompt=question,
+            api_keys={
+                "openai": keys.openai_api_key.get_secret_value(),
+                "google_api_key": keys.google_search_api_key.get_secret_value(),
+                "google_engine_id": keys.google_search_engine_id.get_secret_value(),
+            },
+        )
+    elif mech_tool == MechTool.PREDICTION_URL_COT:
+        response = prediction_url_cot.run(
+            tool=mech_tool.value,
+            prompt=question,
+            api_keys={
+                "openai": keys.openai_api_key.get_secret_value(),
+                "google_api_key": keys.google_search_api_key.get_secret_value(),
+                "google_engine_id": keys.google_search_engine_id.get_secret_value(),
+            },
+        )
+    else:
+        raise ValueError(f"Mech type '{mech_tool}' not supported")
+
+    result = completion_str_to_json(str(response[0]))
+    return MechResponse.model_validate(result)
diff --git a/mypy.ini b/mypy.ini
new file mode 100644
index 0000000..e65ca2b
--- /dev/null
+++ b/mypy.ini
@@ -0,0 +1,34 @@
+[mypy]
+python_version = 3.10
+files = mech_tool_deployment/, tests/ 
+plugins = pydantic.mypy
+warn_redundant_casts = True
+warn_unused_ignores = True
+disallow_any_generics = True
+warn_return_any = True
+check_untyped_defs = True
+show_error_codes = True
+strict_equality = True
+explicit_package_bases = True
+show_traceback = True
+disallow_incomplete_defs = True
+disallow_untyped_defs = True
+ignore_missing_imports = True
+
+# See https://github.com/python/mypy/issues/3905#issuecomment-421065323
+# We don't want to ignore all missing imports as we want to catch those in our own code
+# But for certain libraries they don't have a stub file, so we only enforce import checking for our own libraries.
+# Another alternative would be to list out every single dependency that does not have a stub.
+[mypy-mech_tool_deployment.*]
+ignore_missing_imports = False
+[mypy-scripts.*]
+ignore_missing_imports = False
+[mypy-tests.*]
+ignore_missing_imports = False
+
+[pydantic-mypy]
+# See https://pydantic-docs.helpmanual.io/mypy_plugin/
+init_forbid_extra = True
+init_typed = True
+warn_required_dynamic_aliases = True
+warn_untyped_fields = True
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..c7aa97b
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,7255 @@
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+
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+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
+[metadata]
+lock-version = "2.0"
+python-versions = "~3.10.0"
+content-hash = "4bd449b811842574af243d7092c2936fb03adf9281953c65bfe17b5519cfc1c0"
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..6ec4489
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,20 @@
+[tool.poetry]
+name = "mech-tool-deployment"
+version = "0.1.0"
+description = "For deploying agents that use mech tools to inform their participation in prediction markets"
+authors = ["Gnosis"]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "~3.10.0"
+typer = "^0.9.0"
+mypy = "^1.8.0"
+black = "^23.12.1"
+autoflake = "^2.2.1"
+isort = "^5.13.2"
+prediction-market-agent-tooling = { git = "https://github.com/gnosis/prediction-market-agent-tooling.git", branch = "evan/mech-compat-deps", extras = ["google"] }
+mech = { git = "https://github.com/evangriffiths/mech.git", branch = "evan/0179545-dev-tomte-dep" }
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/tests/__init__.py b/tests/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/tests/test_mech_local.py b/tests/test_mech_local.py
new file mode 100644
index 0000000..bcc4763
--- /dev/null
+++ b/tests/test_mech_local.py
@@ -0,0 +1,14 @@
+import pytest
+
+from mech_tool_deployment.utils import MechResponse, MechTool, mech_request_local
+from tests.utils import RUN_PAID_TESTS
+
+
+@pytest.mark.skipif(not RUN_PAID_TESTS, reason="This test costs money to run.")
+@pytest.mark.parametrize("mech_tool", list(MechTool))
+def test_mech_local(mech_tool: MechTool) -> None:
+    response: MechResponse = mech_request_local(
+        question="Will the sun rise tomorrow?",
+        mech_tool=mech_tool,
+    )
+    assert 0 <= response.p_yes <= 1
diff --git a/tests/utils.py b/tests/utils.py
new file mode 100644
index 0000000..f2cf1cd
--- /dev/null
+++ b/tests/utils.py
@@ -0,0 +1,3 @@
+import os
+
+RUN_PAID_TESTS = os.environ.get("RUN_PAID_TESTS", "0") == "1"