From 32319540fd632055777b3555425dfabc43e441e7 Mon Sep 17 00:00:00 2001 From: evangriffiths Date: Wed, 1 May 2024 14:00:44 +0100 Subject: [PATCH 1/2] Add deployable mech-tool agents --- .dockerignore | 13 + .github/actions/python_prepare/action.yaml | 15 + .github/workflows/python_cd.yaml | 46 + .github/workflows/python_ci.yaml | 71 + .gitignore | 9 + Dockerfile | 31 + LICENSE | 674 ++ README.md | 1 + build_and_push.sh | 4 + mech_tool_deployment/__init__.py | 0 .../agents/mech_agent/deploy.py | 68 + mech_tool_deployment/api_keys.py | 15 + mech_tool_deployment/run_agent.py | 54 + mech_tool_deployment/utils.py | 131 + mypy.ini | 34 + poetry.lock | 7255 +++++++++++++++++ pyproject.toml | 20 + tests/__init__.py | 0 tests/test_mech_local.py | 14 + tests/utils.py | 3 + 20 files changed, 8458 insertions(+) create mode 100644 .dockerignore create mode 100644 .github/actions/python_prepare/action.yaml create mode 100644 .github/workflows/python_cd.yaml create mode 100644 .github/workflows/python_ci.yaml create mode 100644 .gitignore create mode 100644 Dockerfile create mode 100644 LICENSE create mode 100755 build_and_push.sh create mode 100644 mech_tool_deployment/__init__.py create mode 100644 mech_tool_deployment/agents/mech_agent/deploy.py create mode 100644 mech_tool_deployment/api_keys.py create mode 100644 mech_tool_deployment/run_agent.py create mode 100644 mech_tool_deployment/utils.py create mode 100644 mypy.ini create mode 100644 poetry.lock create mode 100644 pyproject.toml create mode 100644 tests/__init__.py create mode 100644 tests/test_mech_local.py create mode 100644 tests/utils.py 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. + 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 +to take away your freedom to share and change the works. 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If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. 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..baf4cc0 --- /dev/null +++ b/mech_tool_deployment/agents/mech_agent/deploy.py @@ -0,0 +1,68 @@ +import typing as t + +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 `. +""" + +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 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"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" From 024d780f0389acb45fa456f18384d87b78bde5e2 Mon Sep 17 00:00:00 2001 From: evangriffiths Date: Wed, 1 May 2024 14:34:57 +0100 Subject: [PATCH 2/2] Remove unused import --- mech_tool_deployment/agents/mech_agent/deploy.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/mech_tool_deployment/agents/mech_agent/deploy.py b/mech_tool_deployment/agents/mech_agent/deploy.py index baf4cc0..aba594f 100644 --- a/mech_tool_deployment/agents/mech_agent/deploy.py +++ b/mech_tool_deployment/agents/mech_agent/deploy.py @@ -1,5 +1,3 @@ -import typing as t - 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