From 53b02513098544e2181e00c5026d0bd54b1f9f9c Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Tue, 13 Aug 2024 11:39:30 +0200
Subject: [PATCH 01/18] Updating langfuse integration

---
 mypy.ini                                      |    2 +-
 poetry.lock                                   | 1552 ++++++++++-------
 prediction_market_agent_tooling/config.py     |   13 +-
 .../deploy/agent.py                           |  230 ++-
 .../markets/categorize.py                     |   39 +-
 .../markets/data_models.py                    |    2 +-
 .../monitor/langfuse/langfuse_wrapper.py      |   26 -
 .../monitor/monitor.py                        |    2 +-
 .../tools/image_gen/market_thumbnail_gen.py   |   23 +-
 .../tools/is_predictable.py                   |   49 +-
 .../tools/langfuse_.py                        |   26 +
 pyproject.toml                                |    7 +-
 12 files changed, 1202 insertions(+), 769 deletions(-)
 delete mode 100644 prediction_market_agent_tooling/monitor/langfuse/langfuse_wrapper.py
 create mode 100644 prediction_market_agent_tooling/tools/langfuse_.py

diff --git a/mypy.ini b/mypy.ini
index 7a254d85..13261f67 100644
--- a/mypy.ini
+++ b/mypy.ini
@@ -19,7 +19,7 @@ ignore_missing_imports = True
 # 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-prediction_market_agent.*]
+[mypy-prediction_market_agent_tooling.*]
 ignore_missing_imports = False
 [mypy-scripts.*]
 ignore_missing_imports = False
diff --git a/poetry.lock b/poetry.lock
index c2969473..6c058731 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,91 +1,103 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.5"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "aiohappyeyeballs-2.3.5-py3-none-any.whl", hash = "sha256:4d6dea59215537dbc746e93e779caea8178c866856a721c9c660d7a5a7b8be03"},
+    {file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
+]
 
 [[package]]
 name = "aiohttp"
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 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
+aiohappyeyeballs = ">=2.3.0"
 aiosignal = ">=1.1.2"
 async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
@@ -94,7 +106,7 @@ multidict = ">=4.5,<7.0"
 yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "brotlicffi"]
+speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
@@ -112,28 +124,26 @@ frozenlist = ">=1.1.0"
 
 [[package]]
 name = "altair"
-version = "5.3.0"
+version = "5.4.0"
 description = "Vega-Altair: A declarative statistical visualization library for Python."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 jinja2 = "*"
 jsonschema = ">=3.0"
-numpy = "*"
+narwhals = ">=1.1.0"
 packaging = "*"
-pandas = ">=0.25"
-toolz = "*"
-typing-extensions = {version = ">=4.0.1", markers = "python_version < \"3.11\""}
+typing-extensions = {version = ">=4.10.0", markers = "python_version < \"3.13\""}
 
 [package.extras]
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-dev = ["geopandas", "hatch", "ipython", "m2r", "mypy", "pandas-stubs", "pytest", "pytest-cov", "ruff (>=0.3.0)", "types-jsonschema", "types-setuptools"]
-doc = ["docutils", "jinja2", "myst-parser", "numpydoc", "pillow (>=9,<10)", "pydata-sphinx-theme (>=0.14.1)", "scipy", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinxext-altair"]
+all = ["altair-tiles (>=0.3.0)", "anywidget (>=0.9.0)", "numpy", "pandas (>=0.25.3)", "pyarrow (>=11)", "vega-datasets (>=0.9.0)", "vegafusion[embed] (>=1.6.6)", "vl-convert-python (>=1.6.0)"]
+dev = ["geopandas", "hatch", "ibis-framework[polars]", "ipython[kernel]", "mistune", "mypy", "pandas (>=0.25.3)", "pandas-stubs", "polars (>=0.20.3)", "pytest", "pytest-cov", "pytest-xdist[psutil] (>=3.5,<4.0)", "ruff (>=0.5.7)", "types-jsonschema", "types-setuptools"]
+doc = ["docutils", "jinja2", "myst-parser", "numpydoc", "pillow (>=9,<10)", "pydata-sphinx-theme (>=0.14.1)", "scipy", "sphinx (>=8.0.0)", "sphinx-copybutton", "sphinx-design", "sphinxext-altair"]
 
 [[package]]
 name = "annotated-types"
@@ -195,22 +205,22 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "23.2.0"
+version = "24.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2"},
+    {file = "attrs-24.2.0.tar.gz", hash = "sha256:5cfb1b9148b5b086569baec03f20d7b6bf3bcacc9a42bebf87ffaaca362f6346"},
 ]
 
 [package.extras]
-cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[tests]", "pre-commit"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
-tests = ["attrs[tests-no-zope]", "zope-interface"]
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-tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
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+docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
+tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
 
 [[package]]
 name = "autoflake"
@@ -453,13 +463,13 @@ files = [
 
 [[package]]
 name = "cachetools"
-version = "5.3.3"
+version = "5.4.0"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
 files = [
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+name = "dnspython"
+version = "2.6.1"
+description = "DNS toolkit"
+optional = false
+python-versions = ">=3.8"
+files = [
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+dnssec = ["cryptography (>=41)"]
+doh = ["h2 (>=4.1.0)", "httpcore (>=1.0.0)", "httpx (>=0.26.0)"]
+doq = ["aioquic (>=0.9.25)"]
+idna = ["idna (>=3.6)"]
+trio = ["trio (>=0.23)"]
+wmi = ["wmi (>=1.5.1)"]
+
 [[package]]
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 version = "5.1.0"
@@ -1082,13 +1112,13 @@ test = ["hypothesis (>=4.43.0)", "mypy (==0.971)", "pytest (>=7.0.0)", "pytest-x
 
 [[package]]
 name = "exceptiongroup"
-version = "1.2.1"
+version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
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 python-versions = ">=3.7"
 files = [
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@@ -1204,20 +1234,20 @@ files = [
 
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 description = "An open source FaaS (Function as a service) framework for writing portable Python functions -- brought to you by the Google Cloud Functions team."
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 python-versions = "<4,>=3.5"
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 flask = ">=1.0,<4.0"
-gunicorn = {version = ">=19.2.0", markers = "platform_system != \"Windows\""}
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 watchdog = ">=1.0.0"
 Werkzeug = ">=0.14,<4.0.0"
 
@@ -1304,13 +1334,13 @@ uritemplate = ">=3.0.1,<5"
 
 [[package]]
 name = "google-auth"
-version = "2.32.0"
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 python-versions = ">=3.7"
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 [package.dependencies]
@@ -1342,13 +1372,13 @@ httplib2 = ">=0.19.0"
 
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 python-versions = ">=3.7"
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 [[package]]
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 version = "1.4.2"
@@ -1856,19 +1956,19 @@ referencing = ">=0.31.0"
 
 [[package]]
 name = "langchain"
-version = "0.2.7"
+version = "0.2.13"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
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 langsmith = ">=0.1.17,<0.2.0"
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@@ -1880,20 +1980,20 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
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-version = "0.2.7"
+version = "0.2.12"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 numpy = {version = ">=1,<2", markers = "python_version < \"3.12\""}
 PyYAML = ">=5.3"
@@ -1903,13 +2003,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.12"
+version = "0.2.30"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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@@ -1919,21 +2019,22 @@ packaging = ">=23.2,<25"
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 PyYAML = ">=5.3"
 tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
+typing-extensions = ">=4.7"
 
 [[package]]
 name = "langchain-openai"
-version = "0.1.14"
+version = "0.1.21"
 description = "An integration package connecting OpenAI and LangChain"
 optional = true
 python-versions = "<4.0,>=3.8.1"
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+langchain-core = ">=0.2.29,<0.3.0"
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 tiktoken = ">=0.7,<1"
 
 [[package]]
@@ -1952,13 +2053,13 @@ langchain-core = ">=0.2.10,<0.3.0"
 
 [[package]]
 name = "langfuse"
-version = "2.38.1"
+version = "2.43.3"
 description = "A client library for accessing langfuse"
 optional = false
 python-versions = "<4.0,>=3.8.1"
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 [package.dependencies]
@@ -1977,13 +2078,13 @@ openai = ["openai (>=0.27.8)"]
 
 [[package]]
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-version = "0.1.84"
+version = "0.1.99"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
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@@ -2327,44 +2428,44 @@ files = [
 
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 ]
 
 [package.dependencies]
 numpy = ">=1.16.6"
 
+[package.extras]
+test = ["cffi", "hypothesis", "pandas", "pytest", "pytz"]
+
 [[package]]
 name = "pyasn1"
 version = "0.6.0"
@@ -3097,13 +3225,13 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pydantic-settings"
-version = "2.3.4"
+version = "2.4.0"
 description = "Settings management using Pydantic"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3111,6 +3239,7 @@ pydantic = ">=2.7.0"
 python-dotenv = ">=0.21.0"
 
 [package.extras]
+azure-key-vault = ["azure-identity (>=1.16.0)", "azure-keyvault-secrets (>=4.8.0)"]
 toml = ["tomli (>=2.0.1)"]
 yaml = ["pyyaml (>=6.0.1)"]
 
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 [package.extras]
 windows-terminal = ["colorama (>=0.4.6)"]
 
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 [[package]]
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+    {file = "watchdog-4.0.2.tar.gz", hash = "sha256:b4dfbb6c49221be4535623ea4474a4d6ee0a9cef4a80b20c28db4d858b64e270"},
 ]
 
 [package.extras]
@@ -4325,13 +4535,13 @@ files = [
 
 [[package]]
 name = "web3"
-version = "6.20.0"
+version = "6.20.1"
 description = "web3.py"
 optional = false
 python-versions = ">=3.7.2"
 files = [
-    {file = "web3-6.20.0-py3-none-any.whl", hash = "sha256:ec09882d21378b688210cf29385e82b604bdc18fe5c2e238bf3b5fe2a6e6dbbc"},
-    {file = "web3-6.20.0.tar.gz", hash = "sha256:b04725517502cad4f15e39356eaf7c4fcb0127c7728f83eec8cbafb5b6455f33"},
+    {file = "web3-6.20.1-py3-none-any.whl", hash = "sha256:16fe72aeb48bbd5f7e7e64b323a0d3a16522a28eb4f19ef9f9dd6ce7ee813c82"},
+    {file = "web3-6.20.1.tar.gz", hash = "sha256:a29bc1863734e1c05f128ddbc56878f299ea71776806e667b581a83b5d5be0ed"},
 ]
 
 [package.dependencies]
@@ -4659,4 +4869,4 @@ openai = ["openai"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.12"
-content-hash = "d80793191ad95123ed434fe904ce8dad111cfc2b99c6d4f82418c02db6ca8e23"
+content-hash = "b0df2e216ab2bff8a7021da71a65ebfd83d8422092dbf5b6573fa1f36d4fbdcd"
diff --git a/prediction_market_agent_tooling/config.py b/prediction_market_agent_tooling/config.py
index 485793af..fb79ac4b 100644
--- a/prediction_market_agent_tooling/config.py
+++ b/prediction_market_agent_tooling/config.py
@@ -40,8 +40,9 @@ class APIKeys(BaseSettings):
     GOOGLE_SEARCH_ENGINE_ID: t.Optional[SecretStr] = None
 
     LANGFUSE_SECRET_KEY: t.Optional[SecretStr] = None
-    LANGFUSE_PUBLIC_KEY: t.Optional[SecretStr] = None
+    LANGFUSE_PUBLIC_KEY: t.Optional[str] = None
     LANGFUSE_HOST: t.Optional[str] = None
+    LANGFUSE_DEPLOYMENT_VERSION: t.Optional[str] = None
 
     ENABLE_CACHE: bool = True
     CACHE_DIR: str = "./.cache"
@@ -123,7 +124,7 @@ def langfuse_secret_key(self) -> SecretStr:
         )
 
     @property
-    def langfuse_public_key(self) -> SecretStr:
+    def langfuse_public_key(self) -> str:
         return check_not_none(
             self.LANGFUSE_PUBLIC_KEY, "LANGFUSE_PUBLIC_KEY missing in the environment."
         )
@@ -134,6 +135,14 @@ def langfuse_host(self) -> str:
             self.LANGFUSE_HOST, "LANGFUSE_HOST missing in the environment."
         )
 
+    @property
+    def default_enable_langfuse(self) -> bool:
+        return (
+            self.LANGFUSE_SECRET_KEY is not None
+            and self.LANGFUSE_PUBLIC_KEY is not None
+            and self.LANGFUSE_HOST is not None
+        )
+
     def model_dump_public(self) -> dict[str, t.Any]:
         return {
             k: v
diff --git a/prediction_market_agent_tooling/deploy/agent.py b/prediction_market_agent_tooling/deploy/agent.py
index 32cacd28..cfa8628e 100644
--- a/prediction_market_agent_tooling/deploy/agent.py
+++ b/prediction_market_agent_tooling/deploy/agent.py
@@ -1,11 +1,14 @@
+import getpass
 import inspect
 import os
 import tempfile
 import time
 import typing as t
 from datetime import datetime, timedelta
+from enum import Enum
+from functools import cached_property
 
-from pydantic import BaseModel, BeforeValidator
+from pydantic import BaseModel, BeforeValidator, computed_field
 from typing_extensions import Annotated
 
 from prediction_market_agent_tooling.config import APIKeys
@@ -39,13 +42,13 @@
     redeem_from_all_user_positions,
     withdraw_wxdai_to_xdai_to_keep_balance,
 )
-from prediction_market_agent_tooling.monitor.langfuse.langfuse_wrapper import (
-    LangfuseWrapper,
-)
 from prediction_market_agent_tooling.monitor.monitor_app import (
     MARKET_TYPE_TO_DEPLOYED_AGENT,
 )
-from prediction_market_agent_tooling.tools.is_predictable import is_predictable_binary
+from prediction_market_agent_tooling.tools.is_predictable import (
+    is_predictable_binary_observed,
+)
+from prediction_market_agent_tooling.tools.langfuse_ import langfuse_context, observe
 from prediction_market_agent_tooling.tools.utils import DatetimeWithTimezone, utcnow
 
 MAX_AVAILABLE_MARKETS = 20
@@ -89,10 +92,42 @@ def p_no(self) -> Probability:
         return Probability(1 - self.p_yes)
 
 
+class ProcessedMarket(BaseModel):
+    answer: Answer
+    amount: BetAmount
+
+
+class AnsweredEnum(str, Enum):
+    ANSWERED = "answered"
+    NOT_ANSWERED = "not_answered"
+
+
 class DeployableAgent:
-    def __init__(self) -> None:
-        self.langfuse_wrapper = LangfuseWrapper(agent_name=self.__class__.__name__)
+    def __init__(
+        self,
+        enable_langfuse: bool = APIKeys().default_enable_langfuse,
+    ) -> None:
         self.load()
+        self.start_time = utcnow()
+        self.enable_langfuse = enable_langfuse
+        self.initialize_langfuse()
+
+    def initialize_langfuse(self) -> None:
+        # Configure Langfuse singleton with our APIKeys.
+        # If langfuse is disabled, it will just ignore all the calls, so no need to do if-else around the code.
+        keys = APIKeys()
+        langfuse_context.configure(
+            public_key=keys.langfuse_public_key,
+            secret_key=keys.langfuse_secret_key.get_secret_value(),
+            host=keys.langfuse_host,
+            enabled=self.enable_langfuse,
+        )
+
+    @computed_field  # type: ignore[prop-decorator] # Mypy issue: https://github.com/python/mypy/issues/14461
+    @cached_property
+    def session_id(self) -> str:
+        # Each agent should be an unique class.
+        return f"{self.__class__.__name__} - {self.start_time.strftime('%Y-%m-%d %H:%M:%S')}"
 
     def __init_subclass__(cls, **kwargs: t.Any) -> None:
         if "DeployableAgent" not in str(
@@ -209,42 +244,78 @@ class DeployableTraderAgent(DeployableAgent):
     min_required_balance_to_operate: xDai | None = xdai_type(1)
     min_balance_to_keep_in_native_currency: xDai | None = xdai_type(0.1)
 
-    def __init__(self, place_bet: bool = True) -> None:
-        super().__init__()
+    def __init__(
+        self,
+        enable_langfuse: bool = APIKeys().default_enable_langfuse,
+        place_bet: bool = True,
+    ) -> None:
+        super().__init__(enable_langfuse=enable_langfuse)
         self.place_bet = place_bet
 
-    def have_bet_on_market_since(self, market: AgentMarket, since: timedelta) -> bool:
+    def update_langfuse_observation_by_market(
+        self, market_type: MarketType, market: AgentMarket
+    ) -> None:
+        langfuse_context.update_current_trace(
+            # All traces within a single run execution will be grouped under a single session.
+            session_id=self.session_id,
+            # Optionally, mark the current deployment with version (e.g. add git commit hash during docker building).
+            release=APIKeys().LANGFUSE_DEPLOYMENT_VERSION,
+            user_id=getpass.getuser(),
+            # UI allows to do filtering by these.
+            metadata={
+                "agent_class": self.__class__.__name__,
+                "market_id": market.id,
+                "market_question": market.question,
+                "market_outcomes": market.outcomes,
+            },
+        )
+
+    def update_langfuse_observation_by_processed_market(
+        self, market_type: MarketType, processed_market: ProcessedMarket | None
+    ) -> None:
+        langfuse_context.update_current_trace(
+            tags=[
+                (
+                    AnsweredEnum.ANSWERED
+                    if processed_market is not None
+                    else AnsweredEnum.NOT_ANSWERED
+                ),
+                market_type.value,
+            ]
+        )
+
+    @observe()
+    def _have_bet_on_market_since(self, market: AgentMarket, since: timedelta) -> bool:
         return have_bet_on_market_since(keys=APIKeys(), market=market, since=since)
 
-    def pick_markets(
-        self, market_type: MarketType, markets: t.Sequence[AgentMarket]
-    ) -> t.Sequence[AgentMarket]:
+    def have_bet_on_market_since(self, market: AgentMarket, since: timedelta) -> bool:
+        return self._have_bet_on_market_since(market, since)
+
+    @observe()
+    def _verify_market(self, market_type: MarketType, market: AgentMarket) -> bool:
         """
         Subclasses can implement their own logic instead of this one, or on top of this one.
-        By default, it picks only the first {n_markets_per_run} markets where user didn't bet recently and it's a reasonable question.
+        By default, it allows only markets where user didn't bet recently and it's a reasonable question.
         """
-        picked: list[AgentMarket] = []
-
-        for market in markets:
-            if len(picked) >= self.bet_on_n_markets_per_run:
-                break
+        if self.have_bet_on_market_since(market, since=timedelta(hours=24)):
+            return False
 
-            if self.have_bet_on_market_since(market, since=timedelta(hours=24)):
-                continue
+        # Manifold allows to bet only on markets with probability between 1 and 99.
+        if market_type == MarketType.MANIFOLD and not (1 < market.current_p_yes < 99):
+            return False
 
-            # Do as a last check, as it uses paid OpenAI API.
-            if not is_predictable_binary(market.question):
-                continue
+        # Do as a last check, as it uses paid OpenAI API.
+        if not is_predictable_binary_observed(market.question):
+            return False
 
-            # Manifold allows to bet only on markets with probability between 1 and 99.
-            if market_type == MarketType.MANIFOLD and not (
-                1 < market.current_p_yes < 99
-            ):
-                continue
+        return True
 
-            picked.append(market)
+    def verify_market(self, market_type: MarketType, market: AgentMarket) -> bool:
+        return self._verify_market(market_type, market)
 
-        return picked
+    @observe()
+    def _answer_binary_market(self, market: AgentMarket) -> Answer | None:
+        return self.answer_binary_market(market)
 
     def answer_binary_market(self, market: AgentMarket) -> Answer | None:
         """
@@ -252,6 +323,10 @@ def answer_binary_market(self, market: AgentMarket) -> Answer | None:
         """
         raise NotImplementedError("This method must be implemented by the subclass")
 
+    @observe()
+    def _calculate_bet_amount(self, answer: Answer, market: AgentMarket) -> BetAmount:
+        return self.calculate_bet_amount(answer, market)
+
     def calculate_bet_amount(self, answer: Answer, market: AgentMarket) -> BetAmount:
         """
         Calculate the bet amount. By default, it returns the minimum bet amount.
@@ -272,7 +347,63 @@ def get_markets(
         )
         return available_markets
 
-    def before(self, market_type: MarketType) -> None:
+    def before_process_market(
+        self, market_type: MarketType, market: AgentMarket
+    ) -> None:
+        self.update_langfuse_observation_by_market(market_type, market)
+
+    @observe()
+    def _process_market(
+        self, market_type: MarketType, market: AgentMarket, verify_market: bool
+    ) -> ProcessedMarket | None:
+        return self.process_market(market_type, market, verify_market)
+
+    def process_market(
+        self, market_type: MarketType, market: AgentMarket, verify_market: bool = True
+    ) -> ProcessedMarket | None:
+        self.before_process_market(market_type, market)
+
+        if verify_market and not self.verify_market(market_type, market):
+            logger.info(f"Market '{market.question}' doesn't meet the criteria.")
+            self.update_langfuse_observation_by_processed_market(market_type, None)
+            return None
+
+        answer = self.answer_binary_market(market)
+
+        if answer is None:
+            logger.info(f"No answer for market '{market.question}'.")
+            self.update_langfuse_observation_by_processed_market(market_type, None)
+            return None
+
+        amount = self.calculate_bet_amount(answer, market)
+
+        if self.place_bet:
+            logger.info(
+                f"Placing bet on {market} with result {answer} and amount {amount}"
+            )
+            market.place_bet(
+                amount=amount,
+                outcome=answer.decision,
+            )
+
+        self.after_process_market(market_type, market)
+
+        processed_market = ProcessedMarket(
+            answer=answer,
+            amount=amount,
+        )
+        self.update_langfuse_observation_by_processed_market(
+            market_type, processed_market
+        )
+
+        return processed_market
+
+    def after_process_market(
+        self, market_type: MarketType, market: AgentMarket
+    ) -> None:
+        pass
+
+    def before_process_markets(self, market_type: MarketType) -> None:
         """
         Executes actions that occur before bets are placed.
         """
@@ -298,31 +429,26 @@ def before(self, market_type: MarketType) -> None:
                     withdraw_multiplier=2,
                 )
 
-    def process_bets(self, market_type: MarketType) -> None:
+    def process_markets(self, market_type: MarketType) -> None:
         """
         Processes bets placed by agents on a given market.
         """
         available_markets = self.get_markets(market_type)
-        markets = self.pick_markets(market_type, available_markets)
-        for market in markets:
-            result = self.answer_binary_market(market)
-            if result is None:
-                logger.info(f"Skipping market {market} as no answer was provided")
-                continue
-            if self.place_bet:
-                amount = self.calculate_bet_amount(result, market)
-                logger.info(
-                    f"Placing bet on {market} with result {result} and amount {amount}"
-                )
-                market.place_bet(
-                    amount=amount,
-                    outcome=result.decision,
-                )
+        processed = 0
+
+        for market in available_markets:
+            processed_market = self.process_market(market_type, market)
+
+            if processed_market is not None:
+                processed += 1
+
+            if processed == self.bet_on_n_markets_per_run:
+                break
 
-    def after(self, market_type: MarketType) -> None:
+    def after_process_markets(self, market_type: MarketType) -> None:
         pass
 
     def run(self, market_type: MarketType) -> None:
-        self.before(market_type)
-        self.process_bets(market_type)
-        self.after(market_type)
+        self.before_process_markets(market_type)
+        self.process_markets(market_type)
+        self.after_process_markets(market_type)
diff --git a/prediction_market_agent_tooling/markets/categorize.py b/prediction_market_agent_tooling/markets/categorize.py
index e7e306dd..9e9fee52 100644
--- a/prediction_market_agent_tooling/markets/categorize.py
+++ b/prediction_market_agent_tooling/markets/categorize.py
@@ -1,13 +1,22 @@
-from langchain.prompts import ChatPromptTemplate
-from langchain.schema.output_parser import StrOutputParser
-from langchain_openai import ChatOpenAI
-
 from prediction_market_agent_tooling.config import APIKeys
+from prediction_market_agent_tooling.tools.langfuse_ import langfuse_context, observe
 
 
 def infer_category(
-    question: str, categories: set[str], model: str = "gpt-3.5-turbo-0125"
+    question: str,
+    categories: set[str],
+    model: str = "gpt-3.5-turbo-0125",
+    enable_langfuse: bool = False,
 ) -> str:
+    try:
+        from langchain.prompts import ChatPromptTemplate
+        from langchain.schema.output_parser import StrOutputParser
+        from langchain_core.runnables.config import RunnableConfig
+        from langchain_openai import ChatOpenAI
+    except ImportError:
+        raise ImportError(
+            "openai not installed, please install extras `langchain` to use this function."
+        )
     prompt = ChatPromptTemplate.from_template(
         template="""Assign the following question: {question}
 
@@ -17,6 +26,10 @@ def infer_category(
 """
     )
 
+    config: RunnableConfig = {}
+    if enable_langfuse:
+        config["callbacks"] = [langfuse_context.get_current_langchain_handler()]
+
     research_evaluation_chain = (
         prompt
         | ChatOpenAI(
@@ -27,9 +40,23 @@ def infer_category(
     )
 
     response: str = research_evaluation_chain.invoke(
-        {"question": question, "categories": sorted(categories)}
+        {"question": question, "categories": sorted(categories)}, config=config
     )
 
     formatted = response.strip().strip("'").strip('"').strip()
 
     return formatted
+
+
+@observe()
+def infer_category_observed(
+    question: str,
+    categories: set[str],
+    model: str = "gpt-3.5-turbo-0125",
+) -> str:
+    return infer_category(
+        question=question,
+        categories=categories,
+        model=model,
+        enable_langfuse=True,
+    )
diff --git a/prediction_market_agent_tooling/markets/data_models.py b/prediction_market_agent_tooling/markets/data_models.py
index 8bbc0e81..b6f5ba55 100644
--- a/prediction_market_agent_tooling/markets/data_models.py
+++ b/prediction_market_agent_tooling/markets/data_models.py
@@ -48,7 +48,7 @@ class ResolvedBet(Bet):
     resolved_time: datetime
     profit: ProfitAmount
 
-    @computed_field  # type: ignore[misc]
+    @computed_field  # type: ignore[prop-decorator]
     @property
     def is_correct(self) -> bool:
         return self.outcome == self.market_outcome
diff --git a/prediction_market_agent_tooling/monitor/langfuse/langfuse_wrapper.py b/prediction_market_agent_tooling/monitor/langfuse/langfuse_wrapper.py
deleted file mode 100644
index a6adecfa..00000000
--- a/prediction_market_agent_tooling/monitor/langfuse/langfuse_wrapper.py
+++ /dev/null
@@ -1,26 +0,0 @@
-from functools import cached_property
-
-from langfuse.callback import CallbackHandler
-from pydantic import BaseModel, computed_field
-
-from prediction_market_agent_tooling.config import APIKeys
-from prediction_market_agent_tooling.tools.utils import utcnow
-
-
-class LangfuseWrapper(BaseModel):
-    agent_name: str
-
-    @computed_field  # type: ignore[misc] # Mypy issue: https://github.com/python/mypy/issues/14461
-    @cached_property
-    def session_id(self) -> str:
-        return f"{self.agent_name} - {utcnow()}"
-
-    def get_langfuse_handler(self) -> CallbackHandler:
-        keys = APIKeys()
-        langfuse_handler = CallbackHandler(
-            secret_key=keys.langfuse_secret_key.get_secret_value(),
-            public_key=keys.langfuse_public_key.get_secret_value(),
-            host=keys.langfuse_host,
-            session_id=self.session_id,
-        )
-        return langfuse_handler
diff --git a/prediction_market_agent_tooling/monitor/monitor.py b/prediction_market_agent_tooling/monitor/monitor.py
index f75b6554..44a9438d 100644
--- a/prediction_market_agent_tooling/monitor/monitor.py
+++ b/prediction_market_agent_tooling/monitor/monitor.py
@@ -229,7 +229,7 @@ def monitor_agent(agent: DeployedAgent) -> None:
         )
         .interactive()
     )
-    st.altair_chart(
+    st.altair_chart(  # type: ignore # Doesn't expect `LayerChart`, but `Chart`, yet it works.
         per_day_accuracy_chart.mark_line()
         + per_day_accuracy_chart.transform_loess("x-axis-day", "Is Correct").mark_line(
             color="red", strokeDash=[5, 5]
diff --git a/prediction_market_agent_tooling/tools/image_gen/market_thumbnail_gen.py b/prediction_market_agent_tooling/tools/image_gen/market_thumbnail_gen.py
index 8bf3aa26..7e875c9a 100644
--- a/prediction_market_agent_tooling/tools/image_gen/market_thumbnail_gen.py
+++ b/prediction_market_agent_tooling/tools/image_gen/market_thumbnail_gen.py
@@ -2,10 +2,14 @@
 
 from prediction_market_agent_tooling.config import APIKeys
 from prediction_market_agent_tooling.tools.image_gen.image_gen import generate_image
+from prediction_market_agent_tooling.tools.langfuse_ import langfuse_context, observe
 
 
-def rewrite_question_into_image_generation_prompt(question: str) -> str:
+def rewrite_question_into_image_generation_prompt(
+    question: str, enable_langfuse: bool = False
+) -> str:
     try:
+        from langchain_core.runnables.config import RunnableConfig
         from langchain_openai import ChatOpenAI
     except ImportError:
         raise ImportError(
@@ -16,15 +20,26 @@ def rewrite_question_into_image_generation_prompt(question: str) -> str:
         temperature=0.0,
         api_key=APIKeys().openai_api_key_secretstr_v1,
     )
+    config: RunnableConfig = {}
+    if enable_langfuse:
+        config["callbacks"] = [langfuse_context.get_current_langchain_handler()]
     rewritten = str(
         llm.invoke(
             f"Rewrite this prediction market question '{question}' into a form that will generate nice thumbnail with DALL-E-3."
-            "The thumbnail should be catchy and visually appealing. With a large object in the center of the image."
+            "The thumbnail should be catchy and visually appealing. With a large object in the center of the image.",
+            config=config,
         ).content
     )
     return rewritten
 
 
-def generate_image_for_market(question: str) -> ImageType:
-    prompt = rewrite_question_into_image_generation_prompt(question)
+def generate_image_for_market(
+    question: str, enable_langfuse: bool = False
+) -> ImageType:
+    prompt = rewrite_question_into_image_generation_prompt(question, enable_langfuse)
     return generate_image(prompt)
+
+
+@observe()
+def generate_image_for_market_observed(question: str) -> ImageType:
+    return generate_image_for_market(question, enable_langfuse=True)
diff --git a/prediction_market_agent_tooling/tools/is_predictable.py b/prediction_market_agent_tooling/tools/is_predictable.py
index 607273ec..ac70b539 100644
--- a/prediction_market_agent_tooling/tools/is_predictable.py
+++ b/prediction_market_agent_tooling/tools/is_predictable.py
@@ -2,6 +2,7 @@
 
 from prediction_market_agent_tooling.config import APIKeys
 from prediction_market_agent_tooling.tools.cache import persistent_inmemory_cache
+from prediction_market_agent_tooling.tools.langfuse_ import langfuse_context, observe
 from prediction_market_agent_tooling.tools.utils import LLM_SUPER_LOW_TEMPERATURE
 
 # I tried to make it return a JSON, but it didn't work well in combo with asking it to do chain of thought.
@@ -77,12 +78,14 @@ def is_predictable_binary(
     engine: str = "gpt-4-1106-preview",
     prompt_template: str = QUESTION_IS_PREDICTABLE_BINARY_PROMPT,
     max_tokens: int = 1024,
+    enable_langfuse: bool = False,
 ) -> bool:
     """
     Evaluate if the question is actually answerable.
     """
     try:
         from langchain.prompts import ChatPromptTemplate
+        from langchain_core.runnables.config import RunnableConfig
         from langchain_openai import ChatOpenAI
     except ImportError:
         logger.error("langchain not installed, skipping is_predictable_binary")
@@ -96,11 +99,30 @@ def is_predictable_binary(
 
     prompt = ChatPromptTemplate.from_template(template=prompt_template)
     messages = prompt.format_messages(question=question)
-    completion = str(llm(messages, max_tokens=max_tokens).content)
+    config: RunnableConfig = {}
+    if enable_langfuse:
+        config["callbacks"] = [langfuse_context.get_current_langchain_handler()]
+    completion = str(llm.invoke(messages, max_tokens=max_tokens, config=config).content)
 
     return parse_decision_yes_no_completion(question, completion)
 
 
+@observe()
+def is_predictable_binary_observed(
+    question: str,
+    engine: str = "gpt-4-1106-preview",
+    prompt_template: str = QUESTION_IS_PREDICTABLE_BINARY_PROMPT,
+    max_tokens: int = 1024,
+) -> bool:
+    return is_predictable_binary(
+        question=question,
+        enable_langfuse=True,
+        engine=engine,
+        prompt_template=prompt_template,
+        max_tokens=max_tokens,
+    )
+
+
 @persistent_inmemory_cache
 def is_predictable_without_description(
     question: str,
@@ -108,12 +130,14 @@ def is_predictable_without_description(
     engine: str = "gpt-4-1106-preview",
     prompt_template: str = QUESTION_IS_PREDICTABLE_WITHOUT_DESCRIPTION_PROMPT,
     max_tokens: int = 1024,
+    enable_langfuse: bool = False,
 ) -> bool:
     """
     Evaluate if the question is fully self-contained.
     """
     try:
         from langchain.prompts import ChatPromptTemplate
+        from langchain_core.runnables.config import RunnableConfig
         from langchain_openai import ChatOpenAI
     except ImportError:
         logger.error(
@@ -132,11 +156,32 @@ def is_predictable_without_description(
         question=question,
         description=description,
     )
-    completion = str(llm(messages, max_tokens=max_tokens).content)
+    config: RunnableConfig = {}
+    if enable_langfuse:
+        config["callbacks"] = [langfuse_context.get_current_langchain_handler()]
+    completion = str(llm(messages, max_tokens=max_tokens, config=config).content)
 
     return parse_decision_yes_no_completion(question, completion)
 
 
+@observe()
+def is_predictable_without_description_observed(
+    question: str,
+    description: str,
+    engine: str = "gpt-4-1106-preview",
+    prompt_template: str = QUESTION_IS_PREDICTABLE_WITHOUT_DESCRIPTION_PROMPT,
+    max_tokens: int = 1024,
+) -> bool:
+    return is_predictable_without_description(
+        question=question,
+        description=description,
+        enable_langfuse=True,
+        engine=engine,
+        prompt_template=prompt_template,
+        max_tokens=max_tokens,
+    )
+
+
 def parse_decision_yes_no_completion(question: str, completion: str) -> bool:
     logger.debug(completion)
     try:
diff --git a/prediction_market_agent_tooling/tools/langfuse_.py b/prediction_market_agent_tooling/tools/langfuse_.py
new file mode 100644
index 00000000..7b37c13f
--- /dev/null
+++ b/prediction_market_agent_tooling/tools/langfuse_.py
@@ -0,0 +1,26 @@
+from typing import Any, Callable, Iterable, Literal, Optional, ParamSpec, TypeVar
+
+from langfuse.decorators.langfuse_decorator import (  # noqa: F401  # Import for the sake of easy importing with others from here.
+    langfuse_context,
+)
+from langfuse.decorators.langfuse_decorator import observe as original_observe
+
+P = ParamSpec("P")
+R = TypeVar("R")
+
+
+def observe(
+    name: Optional[str] = None,
+    as_type: Optional[Literal["generation"]] = None,
+    capture_input: bool = True,
+    capture_output: bool = True,
+    transform_to_string: Optional[Callable[[Iterable[Any]], str]] = None,
+) -> Callable[[Callable[P, R]], Callable[P, R]]:
+    casted: Callable[[Callable[P, R]], Callable[P, R]] = original_observe(
+        name=name,
+        as_type=as_type,
+        capture_input=capture_input,
+        capture_output=capture_output,
+        transform_to_string=transform_to_string,
+    )
+    return casted
diff --git a/pyproject.toml b/pyproject.toml
index 6e2df2db..4c4492e7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "prediction-market-agent-tooling"
-version = "0.47.0"
+version = "0.48.0"
 description = "Tools to benchmark, deploy and monitor prediction market agents."
 authors = ["Gnosis"]
 readme = "README.md"
@@ -40,9 +40,10 @@ safe-eth-py = "^6.0.0b14"
 eth-account = "^0.8.0"
 prompt-toolkit = "^3.0.43"
 safe-cli = "^1.0.0"
-langfuse = "^2.27.1"
+langfuse = "^2.42.0"
 openai = { version = "^1.0.0", optional = true}
 base58 = "^2.1.1"
+pymongo = "^4.8.0"
 
 [tool.poetry.extras]
 openai = ["openai"]
@@ -51,7 +52,7 @@ google = ["google-api-python-client"]
 
 [tool.poetry.group.dev.dependencies]
 pytest = "*"
-mypy = "^1.9.0"
+mypy = "^1.11.1"
 black = "^23.12.1"
 
 [build-system]

From 5fc4fed803ac746bcb858111c26a68ac69873148 Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Tue, 13 Aug 2024 11:43:47 +0200
Subject: [PATCH 02/18] lint

---
 prediction_market_agent_tooling/deploy/agent.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/prediction_market_agent_tooling/deploy/agent.py b/prediction_market_agent_tooling/deploy/agent.py
index b3cccc21..4f5c9fb7 100644
--- a/prediction_market_agent_tooling/deploy/agent.py
+++ b/prediction_market_agent_tooling/deploy/agent.py
@@ -283,7 +283,7 @@ def update_langfuse_observation_by_processed_market(
                 market_type.value,
             ]
         )
-        
+
     def check_min_required_balance_to_operate(self, market_type: MarketType) -> None:
         api_keys = APIKeys()
         if self.min_required_balance_to_operate is None:
@@ -443,7 +443,7 @@ def process_markets(self, market_type: MarketType) -> None:
         for market in available_markets:
             # We need to check it again before each market bet, as the balance might have changed.
             self.check_min_required_balance_to_operate(market_type)
-          
+
             processed_market = self.process_market(market_type, market)
 
             if processed_market is not None:

From 379d8671781d85947bb976f861916251e431f5c3 Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Tue, 13 Aug 2024 12:13:38 +0200
Subject: [PATCH 03/18] add trader metadata

---
 prediction_market_agent_tooling/deploy/agent.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/prediction_market_agent_tooling/deploy/agent.py b/prediction_market_agent_tooling/deploy/agent.py
index 4f5c9fb7..636228f3 100644
--- a/prediction_market_agent_tooling/deploy/agent.py
+++ b/prediction_market_agent_tooling/deploy/agent.py
@@ -264,6 +264,7 @@ def update_langfuse_observation_by_market(
             # UI allows to do filtering by these.
             metadata={
                 "agent_class": self.__class__.__name__,
+                "trader": True,
                 "market_id": market.id,
                 "market_question": market.question,
                 "market_outcomes": market.outcomes,

From eb60f029004ffcc0acfa4dbbd3655fd2a293129a Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Tue, 13 Aug 2024 12:29:43 +0200
Subject: [PATCH 04/18] add TRADER_TAG

---
 prediction_market_agent_tooling/deploy/agent.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/prediction_market_agent_tooling/deploy/agent.py b/prediction_market_agent_tooling/deploy/agent.py
index 636228f3..d1d59b2d 100644
--- a/prediction_market_agent_tooling/deploy/agent.py
+++ b/prediction_market_agent_tooling/deploy/agent.py
@@ -52,6 +52,7 @@
 from prediction_market_agent_tooling.tools.utils import DatetimeWithTimezone, utcnow
 
 MAX_AVAILABLE_MARKETS = 20
+TRADER_TAG = "trader"
 
 
 def to_boolean_outcome(value: str | bool) -> bool:
@@ -264,7 +265,6 @@ def update_langfuse_observation_by_market(
             # UI allows to do filtering by these.
             metadata={
                 "agent_class": self.__class__.__name__,
-                "trader": True,
                 "market_id": market.id,
                 "market_question": market.question,
                 "market_outcomes": market.outcomes,
@@ -276,6 +276,7 @@ def update_langfuse_observation_by_processed_market(
     ) -> None:
         langfuse_context.update_current_trace(
             tags=[
+                TRADER_TAG,
                 (
                     AnsweredEnum.ANSWERED
                     if processed_market is not None

From 48be28141f1849e177779bade06c9c8804f93dee Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Tue, 13 Aug 2024 12:46:22 +0200
Subject: [PATCH 05/18] refac

---
 .../deploy/agent.py                           | 54 +++++++++++++------
 1 file changed, 39 insertions(+), 15 deletions(-)

diff --git a/prediction_market_agent_tooling/deploy/agent.py b/prediction_market_agent_tooling/deploy/agent.py
index d1d59b2d..57fe2f8d 100644
--- a/prediction_market_agent_tooling/deploy/agent.py
+++ b/prediction_market_agent_tooling/deploy/agent.py
@@ -124,6 +124,37 @@ def initialize_langfuse(self) -> None:
             enabled=self.enable_langfuse,
         )
 
+    def langfuse_update_current_trace(
+        self,
+        name: str | None = None,
+        input: t.Any | None = None,
+        output: t.Any | None = None,
+        user_id: str | None = None,
+        session_id: str | None = None,
+        version: str | None = None,
+        release: str | None = None,
+        metadata: t.Any | None = None,
+        tags: list[str] | None = None,
+        public: bool | None = None,
+    ) -> None:
+        """
+        Provide some useful default arguments when updating the current trace in our agents.
+        """
+        langfuse_context.update_current_trace(
+            name=name,
+            input=input,
+            output=output,
+            user_id=user_id or getpass.getuser(),
+            session_id=session_id
+            or self.session_id,  # All traces within a single run execution will be grouped under a single session.
+            version=version
+            or APIKeys().LANGFUSE_DEPLOYMENT_VERSION,  # Optionally, mark the current deployment with version (e.g. add git commit hash during docker building).
+            release=release,
+            metadata=metadata,
+            tags=tags,
+            public=public,
+        )
+
     @computed_field  # type: ignore[prop-decorator] # Mypy issue: https://github.com/python/mypy/issues/14461
     @cached_property
     def session_id(self) -> str:
@@ -253,15 +284,10 @@ def __init__(
         super().__init__(enable_langfuse=enable_langfuse)
         self.place_bet = place_bet
 
-    def update_langfuse_observation_by_market(
+    def update_langfuse_trace_by_market(
         self, market_type: MarketType, market: AgentMarket
     ) -> None:
-        langfuse_context.update_current_trace(
-            # All traces within a single run execution will be grouped under a single session.
-            session_id=self.session_id,
-            # Optionally, mark the current deployment with version (e.g. add git commit hash during docker building).
-            release=APIKeys().LANGFUSE_DEPLOYMENT_VERSION,
-            user_id=getpass.getuser(),
+        self.langfuse_update_current_trace(
             # UI allows to do filtering by these.
             metadata={
                 "agent_class": self.__class__.__name__,
@@ -271,10 +297,10 @@ def update_langfuse_observation_by_market(
             },
         )
 
-    def update_langfuse_observation_by_processed_market(
+    def update_langfuse_trace_by_processed_market(
         self, market_type: MarketType, processed_market: ProcessedMarket | None
     ) -> None:
-        langfuse_context.update_current_trace(
+        self.langfuse_update_current_trace(
             tags=[
                 TRADER_TAG,
                 (
@@ -365,7 +391,7 @@ def get_markets(
     def before_process_market(
         self, market_type: MarketType, market: AgentMarket
     ) -> None:
-        self.update_langfuse_observation_by_market(market_type, market)
+        self.update_langfuse_trace_by_market(market_type, market)
 
     @observe()
     def _process_market(
@@ -380,14 +406,14 @@ def process_market(
 
         if verify_market and not self.verify_market(market_type, market):
             logger.info(f"Market '{market.question}' doesn't meet the criteria.")
-            self.update_langfuse_observation_by_processed_market(market_type, None)
+            self.update_langfuse_trace_by_processed_market(market_type, None)
             return None
 
         answer = self.answer_binary_market(market)
 
         if answer is None:
             logger.info(f"No answer for market '{market.question}'.")
-            self.update_langfuse_observation_by_processed_market(market_type, None)
+            self.update_langfuse_trace_by_processed_market(market_type, None)
             return None
 
         amount = self.calculate_bet_amount(answer, market)
@@ -407,9 +433,7 @@ def process_market(
             answer=answer,
             amount=amount,
         )
-        self.update_langfuse_observation_by_processed_market(
-            market_type, processed_market
-        )
+        self.update_langfuse_trace_by_processed_market(market_type, processed_market)
 
         return processed_market
 

From 2857653ddcafef19f12aac29f092dd3db563f149 Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Tue, 13 Aug 2024 12:58:33 +0200
Subject: [PATCH 06/18] fix typo

---
 prediction_market_agent_tooling/deploy/agent.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/prediction_market_agent_tooling/deploy/agent.py b/prediction_market_agent_tooling/deploy/agent.py
index 57fe2f8d..cece2682 100644
--- a/prediction_market_agent_tooling/deploy/agent.py
+++ b/prediction_market_agent_tooling/deploy/agent.py
@@ -396,11 +396,6 @@ def before_process_market(
     @observe()
     def _process_market(
         self, market_type: MarketType, market: AgentMarket, verify_market: bool
-    ) -> ProcessedMarket | None:
-        return self.process_market(market_type, market, verify_market)
-
-    def process_market(
-        self, market_type: MarketType, market: AgentMarket, verify_market: bool = True
     ) -> ProcessedMarket | None:
         self.before_process_market(market_type, market)
 
@@ -437,6 +432,11 @@ def process_market(
 
         return processed_market
 
+    def process_market(
+        self, market_type: MarketType, market: AgentMarket, verify_market: bool = True
+    ) -> ProcessedMarket | None:
+        return self._process_market(market_type, market, verify_market)
+
     def after_process_market(
         self, market_type: MarketType, market: AgentMarket
     ) -> None:

From e3deb37ec8f0141277fdf0e646bca9e92f7b08e0 Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Tue, 13 Aug 2024 13:08:43 +0200
Subject: [PATCH 07/18] refac

---
 .../deploy/agent.py                           | 46 +++++++++++--------
 1 file changed, 26 insertions(+), 20 deletions(-)

diff --git a/prediction_market_agent_tooling/deploy/agent.py b/prediction_market_agent_tooling/deploy/agent.py
index cece2682..fdbb2e1f 100644
--- a/prediction_market_agent_tooling/deploy/agent.py
+++ b/prediction_market_agent_tooling/deploy/agent.py
@@ -326,19 +326,26 @@ def check_min_required_balance_to_operate(self, market_type: MarketType) -> None
             )
 
     @observe()
-    def _have_bet_on_market_since(self, market: AgentMarket, since: timedelta) -> bool:
-        return have_bet_on_market_since(keys=APIKeys(), market=market, since=since)
+    def have_bet_on_market_since_observed(
+        self, market: AgentMarket, since: timedelta
+    ) -> bool:
+        return self.have_bet_on_market_since(market, since)
 
     def have_bet_on_market_since(self, market: AgentMarket, since: timedelta) -> bool:
-        return self._have_bet_on_market_since(market, since)
+        return have_bet_on_market_since(keys=APIKeys(), market=market, since=since)
 
     @observe()
-    def _verify_market(self, market_type: MarketType, market: AgentMarket) -> bool:
+    def verify_market_observed(
+        self, market_type: MarketType, market: AgentMarket
+    ) -> bool:
+        return self.verify_market(market_type, market)
+
+    def verify_market(self, market_type: MarketType, market: AgentMarket) -> bool:
         """
         Subclasses can implement their own logic instead of this one, or on top of this one.
         By default, it allows only markets where user didn't bet recently and it's a reasonable question.
         """
-        if self.have_bet_on_market_since(market, since=timedelta(hours=24)):
+        if self.have_bet_on_market_since_observed(market, since=timedelta(hours=24)):
             return False
 
         # Manifold allows to bet only on markets with probability between 1 and 99.
@@ -351,11 +358,8 @@ def _verify_market(self, market_type: MarketType, market: AgentMarket) -> bool:
 
         return True
 
-    def verify_market(self, market_type: MarketType, market: AgentMarket) -> bool:
-        return self._verify_market(market_type, market)
-
     @observe()
-    def _answer_binary_market(self, market: AgentMarket) -> Answer | None:
+    def answer_binary_market_observed(self, market: AgentMarket) -> Answer | None:
         return self.answer_binary_market(market)
 
     def answer_binary_market(self, market: AgentMarket) -> Answer | None:
@@ -365,7 +369,9 @@ def answer_binary_market(self, market: AgentMarket) -> Answer | None:
         raise NotImplementedError("This method must be implemented by the subclass")
 
     @observe()
-    def _calculate_bet_amount(self, answer: Answer, market: AgentMarket) -> BetAmount:
+    def calculate_bet_amount_observed(
+        self, answer: Answer, market: AgentMarket
+    ) -> BetAmount:
         return self.calculate_bet_amount(answer, market)
 
     def calculate_bet_amount(self, answer: Answer, market: AgentMarket) -> BetAmount:
@@ -394,24 +400,29 @@ def before_process_market(
         self.update_langfuse_trace_by_market(market_type, market)
 
     @observe()
-    def _process_market(
+    def process_market_observed(
         self, market_type: MarketType, market: AgentMarket, verify_market: bool
+    ) -> ProcessedMarket | None:
+        return self.process_market(market_type, market, verify_market)
+
+    def process_market(
+        self, market_type: MarketType, market: AgentMarket, verify_market: bool = True
     ) -> ProcessedMarket | None:
         self.before_process_market(market_type, market)
 
-        if verify_market and not self.verify_market(market_type, market):
+        if verify_market and not self.verify_market_observed(market_type, market):
             logger.info(f"Market '{market.question}' doesn't meet the criteria.")
             self.update_langfuse_trace_by_processed_market(market_type, None)
             return None
 
-        answer = self.answer_binary_market(market)
+        answer = self.answer_binary_market_observed(market)
 
         if answer is None:
             logger.info(f"No answer for market '{market.question}'.")
             self.update_langfuse_trace_by_processed_market(market_type, None)
             return None
 
-        amount = self.calculate_bet_amount(answer, market)
+        amount = self.calculate_bet_amount_observed(answer, market)
 
         if self.place_bet:
             logger.info(
@@ -432,11 +443,6 @@ def _process_market(
 
         return processed_market
 
-    def process_market(
-        self, market_type: MarketType, market: AgentMarket, verify_market: bool = True
-    ) -> ProcessedMarket | None:
-        return self._process_market(market_type, market, verify_market)
-
     def after_process_market(
         self, market_type: MarketType, market: AgentMarket
     ) -> None:
@@ -470,7 +476,7 @@ def process_markets(self, market_type: MarketType) -> None:
             # We need to check it again before each market bet, as the balance might have changed.
             self.check_min_required_balance_to_operate(market_type)
 
-            processed_market = self.process_market(market_type, market)
+            processed_market = self.process_market_observed(market_type, market)
 
             if processed_market is not None:
                 processed += 1

From f59c14de658273b1e3f5c2ac505e30110323618d Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Tue, 13 Aug 2024 13:12:00 +0200
Subject: [PATCH 08/18] fix arg

---
 prediction_market_agent_tooling/deploy/agent.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/prediction_market_agent_tooling/deploy/agent.py b/prediction_market_agent_tooling/deploy/agent.py
index fdbb2e1f..fa3650ab 100644
--- a/prediction_market_agent_tooling/deploy/agent.py
+++ b/prediction_market_agent_tooling/deploy/agent.py
@@ -401,12 +401,12 @@ def before_process_market(
 
     @observe()
     def process_market_observed(
-        self, market_type: MarketType, market: AgentMarket, verify_market: bool
+        self, market_type: MarketType, market: AgentMarket, verify_market: bool = True
     ) -> ProcessedMarket | None:
         return self.process_market(market_type, market, verify_market)
 
     def process_market(
-        self, market_type: MarketType, market: AgentMarket, verify_market: bool = True
+        self, market_type: MarketType, market: AgentMarket, verify_market: bool
     ) -> ProcessedMarket | None:
         self.before_process_market(market_type, market)
 

From 94e84ab4c40254b0dcfc5b2734f1cdb5c83d116a Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Thu, 15 Aug 2024 12:37:33 +0200
Subject: [PATCH 09/18] update lock

---
 poetry.lock | 5608 +++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 5608 insertions(+)

diff --git a/poetry.lock b/poetry.lock
index e69de29b..8e420834 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -0,0 +1,5608 @@
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.5"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "aiohappyeyeballs-2.3.5.tar.gz", hash = "sha256:6fa48b9f1317254f122a07a131a86b71ca6946ca989ce6326fff54a99a920105"},
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.10.3"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:db8e58b9d79200c76956cefd14d5c90af54416ff5353c5bfd7cbe58818e26ef0"},
+    {file = "yarl-1.9.4-cp39-cp39-win32.whl", hash = "sha256:c7224cab95645c7ab53791022ae77a4509472613e839dab722a72abe5a684575"},
+    {file = "yarl-1.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:824d6c50492add5da9374875ce72db7a0733b29c2394890aef23d533106e2b15"},
+    {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
+[extras]
+google = ["google-api-python-client"]
+langchain = ["langchain", "langchain-openai"]
+openai = ["openai"]
+
+[metadata]
+lock-version = "2.0"
+python-versions = ">=3.10,<3.12"
+content-hash = "ffa6c5e22866d97dfdf66b6d75e33c88303b26af3c41c4a563e2064c665575c6"

From 900e59b5e6dcf16d57944e84697e2a984a4ba482 Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Thu, 15 Aug 2024 12:41:59 +0200
Subject: [PATCH 10/18] fix tests

---
 prediction_market_agent_tooling/deploy/agent.py | 15 +++++++++------
 1 file changed, 9 insertions(+), 6 deletions(-)

diff --git a/prediction_market_agent_tooling/deploy/agent.py b/prediction_market_agent_tooling/deploy/agent.py
index fa3650ab..f100f935 100644
--- a/prediction_market_agent_tooling/deploy/agent.py
+++ b/prediction_market_agent_tooling/deploy/agent.py
@@ -117,12 +117,15 @@ def initialize_langfuse(self) -> None:
         # Configure Langfuse singleton with our APIKeys.
         # If langfuse is disabled, it will just ignore all the calls, so no need to do if-else around the code.
         keys = APIKeys()
-        langfuse_context.configure(
-            public_key=keys.langfuse_public_key,
-            secret_key=keys.langfuse_secret_key.get_secret_value(),
-            host=keys.langfuse_host,
-            enabled=self.enable_langfuse,
-        )
+        if self.enable_langfuse:
+            langfuse_context.configure(
+                public_key=keys.langfuse_public_key,
+                secret_key=keys.langfuse_secret_key.get_secret_value(),
+                host=keys.langfuse_host,
+                enabled=self.enable_langfuse,
+            )
+        else:
+            langfuse_context.configure(enabled=self.enable_langfuse)
 
     def langfuse_update_current_trace(
         self,

From 303dcafd3be51c713f5fa33d2913303872d5b358 Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Thu, 15 Aug 2024 12:54:30 +0200
Subject: [PATCH 11/18] fix DeployableCoinFlipAgent

---
 prediction_market_agent_tooling/deploy/agent_example.py | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/prediction_market_agent_tooling/deploy/agent_example.py b/prediction_market_agent_tooling/deploy/agent_example.py
index 9c5e12e6..39ac51a6 100644
--- a/prediction_market_agent_tooling/deploy/agent_example.py
+++ b/prediction_market_agent_tooling/deploy/agent_example.py
@@ -11,10 +11,8 @@
 
 
 class DeployableCoinFlipAgent(DeployableTraderAgent):
-    def pick_markets(
-        self, market_type: MarketType, markets: t.Sequence[AgentMarket]
-    ) -> t.Sequence[AgentMarket]:
-        return random.sample(markets, 1)
+    def verify_market(self, market_type: MarketType, market: AgentMarket) -> bool:
+        return True
 
     def answer_binary_market(self, market: AgentMarket) -> Answer | None:
         decision = random.choice([True, False])

From 4eff02e10f32ebf97c55af74ff267697300c1538 Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Thu, 15 Aug 2024 13:17:16 +0200
Subject: [PATCH 12/18] lint

---
 prediction_market_agent_tooling/deploy/agent_example.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/prediction_market_agent_tooling/deploy/agent_example.py b/prediction_market_agent_tooling/deploy/agent_example.py
index 39ac51a6..aaf5da81 100644
--- a/prediction_market_agent_tooling/deploy/agent_example.py
+++ b/prediction_market_agent_tooling/deploy/agent_example.py
@@ -1,5 +1,4 @@
 import random
-import typing as t
 
 from prediction_market_agent_tooling.deploy.agent import (
     Answer,

From 572021efdcaff3252c6100820bdaef0e764d5ed1 Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Fri, 16 Aug 2024 16:38:33 +0200
Subject: [PATCH 13/18] reviews

---
 .../deploy/agent.py                           | 55 +++++-----------
 .../markets/categorize.py                     | 29 +++------
 .../tools/image_gen/market_thumbnail_gen.py   | 27 +++-----
 .../tools/is_predictable.py                   | 63 +++++--------------
 .../tools/langfuse_.py                        |  8 +++
 5 files changed, 57 insertions(+), 125 deletions(-)

diff --git a/prediction_market_agent_tooling/deploy/agent.py b/prediction_market_agent_tooling/deploy/agent.py
index f100f935..31fd51f7 100644
--- a/prediction_market_agent_tooling/deploy/agent.py
+++ b/prediction_market_agent_tooling/deploy/agent.py
@@ -45,9 +45,7 @@
 from prediction_market_agent_tooling.monitor.monitor_app import (
     MARKET_TYPE_TO_DEPLOYED_AGENT,
 )
-from prediction_market_agent_tooling.tools.is_predictable import (
-    is_predictable_binary_observed,
-)
+from prediction_market_agent_tooling.tools.is_predictable import is_predictable_binary
 from prediction_market_agent_tooling.tools.langfuse_ import langfuse_context, observe
 from prediction_market_agent_tooling.tools.utils import DatetimeWithTimezone, utcnow
 
@@ -287,6 +285,15 @@ def __init__(
         super().__init__(enable_langfuse=enable_langfuse)
         self.place_bet = place_bet
 
+    def initialize_langfuse(self) -> None:
+        super().initialize_langfuse()
+        # Auto-observe all the methods where it makes sense, so that subclassses don't need to do it manually.
+        self.have_bet_on_market_since = observe()(self.have_bet_on_market_since)  # type: ignore[method-assign]
+        self.verify_market = observe()(self.verify_market)  # type: ignore[method-assign]
+        self.answer_binary_market = observe()(self.answer_binary_market)  # type: ignore[method-assign]
+        self.calculate_bet_amount = observe()(self.calculate_bet_amount)  # type: ignore[method-assign]
+        self.process_market = observe()(self.process_market)  # type: ignore[method-assign]
+
     def update_langfuse_trace_by_market(
         self, market_type: MarketType, market: AgentMarket
     ) -> None:
@@ -328,27 +335,15 @@ def check_min_required_balance_to_operate(self, market_type: MarketType) -> None
                 f"for agent with address {api_keys.public_key} is not met."
             )
 
-    @observe()
-    def have_bet_on_market_since_observed(
-        self, market: AgentMarket, since: timedelta
-    ) -> bool:
-        return self.have_bet_on_market_since(market, since)
-
     def have_bet_on_market_since(self, market: AgentMarket, since: timedelta) -> bool:
         return have_bet_on_market_since(keys=APIKeys(), market=market, since=since)
 
-    @observe()
-    def verify_market_observed(
-        self, market_type: MarketType, market: AgentMarket
-    ) -> bool:
-        return self.verify_market(market_type, market)
-
     def verify_market(self, market_type: MarketType, market: AgentMarket) -> bool:
         """
         Subclasses can implement their own logic instead of this one, or on top of this one.
         By default, it allows only markets where user didn't bet recently and it's a reasonable question.
         """
-        if self.have_bet_on_market_since_observed(market, since=timedelta(hours=24)):
+        if self.have_bet_on_market_since(market, since=timedelta(hours=24)):
             return False
 
         # Manifold allows to bet only on markets with probability between 1 and 99.
@@ -356,27 +351,17 @@ def verify_market(self, market_type: MarketType, market: AgentMarket) -> bool:
             return False
 
         # Do as a last check, as it uses paid OpenAI API.
-        if not is_predictable_binary_observed(market.question):
+        if not is_predictable_binary(market.question):
             return False
 
         return True
 
-    @observe()
-    def answer_binary_market_observed(self, market: AgentMarket) -> Answer | None:
-        return self.answer_binary_market(market)
-
     def answer_binary_market(self, market: AgentMarket) -> Answer | None:
         """
         Answer the binary market. This method must be implemented by the subclass.
         """
         raise NotImplementedError("This method must be implemented by the subclass")
 
-    @observe()
-    def calculate_bet_amount_observed(
-        self, answer: Answer, market: AgentMarket
-    ) -> BetAmount:
-        return self.calculate_bet_amount(answer, market)
-
     def calculate_bet_amount(self, answer: Answer, market: AgentMarket) -> BetAmount:
         """
         Calculate the bet amount. By default, it returns the minimum bet amount.
@@ -402,30 +387,24 @@ def before_process_market(
     ) -> None:
         self.update_langfuse_trace_by_market(market_type, market)
 
-    @observe()
-    def process_market_observed(
-        self, market_type: MarketType, market: AgentMarket, verify_market: bool = True
-    ) -> ProcessedMarket | None:
-        return self.process_market(market_type, market, verify_market)
-
     def process_market(
-        self, market_type: MarketType, market: AgentMarket, verify_market: bool
+        self, market_type: MarketType, market: AgentMarket, verify_market: bool = True
     ) -> ProcessedMarket | None:
         self.before_process_market(market_type, market)
 
-        if verify_market and not self.verify_market_observed(market_type, market):
+        if verify_market and not self.verify_market(market_type, market):
             logger.info(f"Market '{market.question}' doesn't meet the criteria.")
             self.update_langfuse_trace_by_processed_market(market_type, None)
             return None
 
-        answer = self.answer_binary_market_observed(market)
+        answer = self.answer_binary_market(market)
 
         if answer is None:
             logger.info(f"No answer for market '{market.question}'.")
             self.update_langfuse_trace_by_processed_market(market_type, None)
             return None
 
-        amount = self.calculate_bet_amount_observed(answer, market)
+        amount = self.calculate_bet_amount(answer, market)
 
         if self.place_bet:
             logger.info(
@@ -479,7 +458,7 @@ def process_markets(self, market_type: MarketType) -> None:
             # We need to check it again before each market bet, as the balance might have changed.
             self.check_min_required_balance_to_operate(market_type)
 
-            processed_market = self.process_market_observed(market_type, market)
+            processed_market = self.process_market(market_type, market)
 
             if processed_market is not None:
                 processed += 1
diff --git a/prediction_market_agent_tooling/markets/categorize.py b/prediction_market_agent_tooling/markets/categorize.py
index 9e9fee52..87669886 100644
--- a/prediction_market_agent_tooling/markets/categorize.py
+++ b/prediction_market_agent_tooling/markets/categorize.py
@@ -1,17 +1,19 @@
 from prediction_market_agent_tooling.config import APIKeys
-from prediction_market_agent_tooling.tools.langfuse_ import langfuse_context, observe
+from prediction_market_agent_tooling.tools.langfuse_ import (
+    get_langfuse_langchain_config,
+    observe,
+)
 
 
+@observe()
 def infer_category(
     question: str,
     categories: set[str],
     model: str = "gpt-3.5-turbo-0125",
-    enable_langfuse: bool = False,
 ) -> str:
     try:
         from langchain.prompts import ChatPromptTemplate
         from langchain.schema.output_parser import StrOutputParser
-        from langchain_core.runnables.config import RunnableConfig
         from langchain_openai import ChatOpenAI
     except ImportError:
         raise ImportError(
@@ -26,10 +28,6 @@ def infer_category(
 """
     )
 
-    config: RunnableConfig = {}
-    if enable_langfuse:
-        config["callbacks"] = [langfuse_context.get_current_langchain_handler()]
-
     research_evaluation_chain = (
         prompt
         | ChatOpenAI(
@@ -40,23 +38,10 @@ def infer_category(
     )
 
     response: str = research_evaluation_chain.invoke(
-        {"question": question, "categories": sorted(categories)}, config=config
+        {"question": question, "categories": sorted(categories)},
+        config=get_langfuse_langchain_config(),
     )
 
     formatted = response.strip().strip("'").strip('"').strip()
 
     return formatted
-
-
-@observe()
-def infer_category_observed(
-    question: str,
-    categories: set[str],
-    model: str = "gpt-3.5-turbo-0125",
-) -> str:
-    return infer_category(
-        question=question,
-        categories=categories,
-        model=model,
-        enable_langfuse=True,
-    )
diff --git a/prediction_market_agent_tooling/tools/image_gen/market_thumbnail_gen.py b/prediction_market_agent_tooling/tools/image_gen/market_thumbnail_gen.py
index 7e875c9a..60b2aa5f 100644
--- a/prediction_market_agent_tooling/tools/image_gen/market_thumbnail_gen.py
+++ b/prediction_market_agent_tooling/tools/image_gen/market_thumbnail_gen.py
@@ -2,14 +2,15 @@
 
 from prediction_market_agent_tooling.config import APIKeys
 from prediction_market_agent_tooling.tools.image_gen.image_gen import generate_image
-from prediction_market_agent_tooling.tools.langfuse_ import langfuse_context, observe
+from prediction_market_agent_tooling.tools.langfuse_ import (
+    get_langfuse_langchain_config,
+    observe,
+)
 
 
-def rewrite_question_into_image_generation_prompt(
-    question: str, enable_langfuse: bool = False
-) -> str:
+@observe()
+def rewrite_question_into_image_generation_prompt(question: str) -> str:
     try:
-        from langchain_core.runnables.config import RunnableConfig
         from langchain_openai import ChatOpenAI
     except ImportError:
         raise ImportError(
@@ -20,26 +21,16 @@ def rewrite_question_into_image_generation_prompt(
         temperature=0.0,
         api_key=APIKeys().openai_api_key_secretstr_v1,
     )
-    config: RunnableConfig = {}
-    if enable_langfuse:
-        config["callbacks"] = [langfuse_context.get_current_langchain_handler()]
     rewritten = str(
         llm.invoke(
             f"Rewrite this prediction market question '{question}' into a form that will generate nice thumbnail with DALL-E-3."
             "The thumbnail should be catchy and visually appealing. With a large object in the center of the image.",
-            config=config,
+            config=get_langfuse_langchain_config(),
         ).content
     )
     return rewritten
 
 
-def generate_image_for_market(
-    question: str, enable_langfuse: bool = False
-) -> ImageType:
-    prompt = rewrite_question_into_image_generation_prompt(question, enable_langfuse)
+def generate_image_for_market(question: str) -> ImageType:
+    prompt = rewrite_question_into_image_generation_prompt(question)
     return generate_image(prompt)
-
-
-@observe()
-def generate_image_for_market_observed(question: str) -> ImageType:
-    return generate_image_for_market(question, enable_langfuse=True)
diff --git a/prediction_market_agent_tooling/tools/is_predictable.py b/prediction_market_agent_tooling/tools/is_predictable.py
index ac70b539..57c6d132 100644
--- a/prediction_market_agent_tooling/tools/is_predictable.py
+++ b/prediction_market_agent_tooling/tools/is_predictable.py
@@ -2,7 +2,10 @@
 
 from prediction_market_agent_tooling.config import APIKeys
 from prediction_market_agent_tooling.tools.cache import persistent_inmemory_cache
-from prediction_market_agent_tooling.tools.langfuse_ import langfuse_context, observe
+from prediction_market_agent_tooling.tools.langfuse_ import (
+    get_langfuse_langchain_config,
+    observe,
+)
 from prediction_market_agent_tooling.tools.utils import LLM_SUPER_LOW_TEMPERATURE
 
 # I tried to make it return a JSON, but it didn't work well in combo with asking it to do chain of thought.
@@ -73,19 +76,18 @@
 
 
 @persistent_inmemory_cache
+@observe()
 def is_predictable_binary(
     question: str,
     engine: str = "gpt-4-1106-preview",
     prompt_template: str = QUESTION_IS_PREDICTABLE_BINARY_PROMPT,
     max_tokens: int = 1024,
-    enable_langfuse: bool = False,
 ) -> bool:
     """
     Evaluate if the question is actually answerable.
     """
     try:
         from langchain.prompts import ChatPromptTemplate
-        from langchain_core.runnables.config import RunnableConfig
         from langchain_openai import ChatOpenAI
     except ImportError:
         logger.error("langchain not installed, skipping is_predictable_binary")
@@ -99,45 +101,29 @@ def is_predictable_binary(
 
     prompt = ChatPromptTemplate.from_template(template=prompt_template)
     messages = prompt.format_messages(question=question)
-    config: RunnableConfig = {}
-    if enable_langfuse:
-        config["callbacks"] = [langfuse_context.get_current_langchain_handler()]
-    completion = str(llm.invoke(messages, max_tokens=max_tokens, config=config).content)
+    completion = str(
+        llm.invoke(
+            messages, max_tokens=max_tokens, config=get_langfuse_langchain_config()
+        ).content
+    )
 
     return parse_decision_yes_no_completion(question, completion)
 
 
-@observe()
-def is_predictable_binary_observed(
-    question: str,
-    engine: str = "gpt-4-1106-preview",
-    prompt_template: str = QUESTION_IS_PREDICTABLE_BINARY_PROMPT,
-    max_tokens: int = 1024,
-) -> bool:
-    return is_predictable_binary(
-        question=question,
-        enable_langfuse=True,
-        engine=engine,
-        prompt_template=prompt_template,
-        max_tokens=max_tokens,
-    )
-
-
 @persistent_inmemory_cache
+@observe()
 def is_predictable_without_description(
     question: str,
     description: str,
     engine: str = "gpt-4-1106-preview",
     prompt_template: str = QUESTION_IS_PREDICTABLE_WITHOUT_DESCRIPTION_PROMPT,
     max_tokens: int = 1024,
-    enable_langfuse: bool = False,
 ) -> bool:
     """
     Evaluate if the question is fully self-contained.
     """
     try:
         from langchain.prompts import ChatPromptTemplate
-        from langchain_core.runnables.config import RunnableConfig
         from langchain_openai import ChatOpenAI
     except ImportError:
         logger.error(
@@ -156,32 +142,15 @@ def is_predictable_without_description(
         question=question,
         description=description,
     )
-    config: RunnableConfig = {}
-    if enable_langfuse:
-        config["callbacks"] = [langfuse_context.get_current_langchain_handler()]
-    completion = str(llm(messages, max_tokens=max_tokens, config=config).content)
+    completion = str(
+        llm(
+            messages, max_tokens=max_tokens, config=get_langfuse_langchain_config()
+        ).content
+    )
 
     return parse_decision_yes_no_completion(question, completion)
 
 
-@observe()
-def is_predictable_without_description_observed(
-    question: str,
-    description: str,
-    engine: str = "gpt-4-1106-preview",
-    prompt_template: str = QUESTION_IS_PREDICTABLE_WITHOUT_DESCRIPTION_PROMPT,
-    max_tokens: int = 1024,
-) -> bool:
-    return is_predictable_without_description(
-        question=question,
-        description=description,
-        enable_langfuse=True,
-        engine=engine,
-        prompt_template=prompt_template,
-        max_tokens=max_tokens,
-    )
-
-
 def parse_decision_yes_no_completion(question: str, completion: str) -> bool:
     logger.debug(completion)
     try:
diff --git a/prediction_market_agent_tooling/tools/langfuse_.py b/prediction_market_agent_tooling/tools/langfuse_.py
index 7b37c13f..aaa5f813 100644
--- a/prediction_market_agent_tooling/tools/langfuse_.py
+++ b/prediction_market_agent_tooling/tools/langfuse_.py
@@ -1,5 +1,6 @@
 from typing import Any, Callable, Iterable, Literal, Optional, ParamSpec, TypeVar
 
+from langchain_core.runnables.config import RunnableConfig
 from langfuse.decorators.langfuse_decorator import (  # noqa: F401  # Import for the sake of easy importing with others from here.
     langfuse_context,
 )
@@ -24,3 +25,10 @@ def observe(
         transform_to_string=transform_to_string,
     )
     return casted
+
+
+def get_langfuse_langchain_config() -> RunnableConfig:
+    config: RunnableConfig = {
+        "callbacks": [langfuse_context.get_current_langchain_handler()]
+    }
+    return config

From 7d25064396c47ac357cd4c29e0412c103b89d3ed Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Fri, 16 Aug 2024 16:41:40 +0200
Subject: [PATCH 14/18] update lock

---
 poetry.lock | 5720 +++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 5720 insertions(+)

diff --git a/poetry.lock b/poetry.lock
index e69de29b..8217c31b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -0,0 +1,5720 @@
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.3.6"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "aiohappyeyeballs-2.3.6-py3-none-any.whl", hash = "sha256:15dca2611fa78442f1cb54cf07ffb998573f2b4fbeab45ca8554c045665c896b"},
+    {file = "aiohappyeyeballs-2.3.6.tar.gz", hash = "sha256:88211068d2a40e0436033956d7de3926ff36d54776f8b1022d6b21320cadae79"},
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.10.3"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "aiohttp-3.10.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cc36cbdedf6f259371dbbbcaae5bb0e95b879bc501668ab6306af867577eb5db"},
+    {file = "aiohttp-3.10.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:85466b5a695c2a7db13eb2c200af552d13e6a9313d7fa92e4ffe04a2c0ea74c1"},
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+    {file = "yarl-1.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:824d6c50492add5da9374875ce72db7a0733b29c2394890aef23d533106e2b15"},
+    {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
+[extras]
+google = ["google-api-python-client"]
+langchain = ["langchain", "langchain-openai"]
+openai = ["openai"]
+
+[metadata]
+lock-version = "2.0"
+python-versions = ">=3.10,<3.12"
+content-hash = "906cebb14ffc79b3f7d2760b52b8bac5ab7bb67c7f7a34d21b857c8fb9c7338c"

From dcab73c8adc475ce813ed9d5ae8de18bcd3f44bc Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Fri, 16 Aug 2024 16:48:26 +0200
Subject: [PATCH 15/18] fix bad merge

---
 prediction_market_agent_tooling/config.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/prediction_market_agent_tooling/config.py b/prediction_market_agent_tooling/config.py
index 85f6f12d..312acf22 100644
--- a/prediction_market_agent_tooling/config.py
+++ b/prediction_market_agent_tooling/config.py
@@ -145,7 +145,9 @@ def default_enable_langfuse(self) -> bool:
             self.LANGFUSE_SECRET_KEY is not None
             and self.LANGFUSE_PUBLIC_KEY is not None
             and self.LANGFUSE_HOST is not None
+        )
 
+    @property
     def tavily_api_key(self) -> SecretStr:
         return check_not_none(
             self.TAVILY_API_KEY, "TAVILY_API_KEY missing in the environment."

From 041ac595b62d357efc6521e29a0a471e0c7aeb8d Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Fri, 16 Aug 2024 17:56:28 +0200
Subject: [PATCH 16/18] dep conflict

---
 poetry.lock    | 2 +-
 pyproject.toml | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 8217c31b..6ef2533c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -5717,4 +5717,4 @@ openai = ["openai"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.12"
-content-hash = "906cebb14ffc79b3f7d2760b52b8bac5ab7bb67c7f7a34d21b857c8fb9c7338c"
+content-hash = "a64f518927f4584112a602c1df5c77a1fc9c1bf745d0b48b311248cea6c60291"
diff --git a/pyproject.toml b/pyproject.toml
index f145d0d5..450facad 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -37,7 +37,7 @@ google-api-python-client = { version = "2.95.0", optional = true}
 subgrounds = "^1.9.1"
 loguru = "^0.7.2"
 safe-eth-py = "^6.0.0b14"
-eth-account = "^0.11.2"
+eth-account = ">=0.8.0,<0.12.0"
 prompt-toolkit = "^3.0.43"
 safe-cli = "^1.0.0"
 langfuse = "^2.42.0"

From 78935d0b5831668ca2b9dc79f62766598cd49bf2 Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Mon, 19 Aug 2024 12:07:26 +0200
Subject: [PATCH 17/18] update

---
 .../deploy/agent.py                           | 30 +++++++++++--------
 1 file changed, 17 insertions(+), 13 deletions(-)

diff --git a/prediction_market_agent_tooling/deploy/agent.py b/prediction_market_agent_tooling/deploy/agent.py
index 31fd51f7..31bb00fb 100644
--- a/prediction_market_agent_tooling/deploy/agent.py
+++ b/prediction_market_agent_tooling/deploy/agent.py
@@ -73,6 +73,21 @@ def to_boolean_outcome(value: str | bool) -> bool:
         raise ValueError(f"Expected a boolean or a string, but got {value}")
 
 
+def initialize_langfuse(enable_langfuse: bool) -> None:
+    # Configure Langfuse singleton with our APIKeys.
+    # If langfuse is disabled, it will just ignore all the calls, so no need to do if-else around the code.
+    keys = APIKeys()
+    if enable_langfuse:
+        langfuse_context.configure(
+            public_key=keys.langfuse_public_key,
+            secret_key=keys.langfuse_secret_key.get_secret_value(),
+            host=keys.langfuse_host,
+            enabled=enable_langfuse,
+        )
+    else:
+        langfuse_context.configure(enabled=enable_langfuse)
+
+
 Decision = Annotated[bool, BeforeValidator(to_boolean_outcome)]
 
 
@@ -106,24 +121,13 @@ def __init__(
         self,
         enable_langfuse: bool = APIKeys().default_enable_langfuse,
     ) -> None:
-        self.load()
         self.start_time = utcnow()
         self.enable_langfuse = enable_langfuse
         self.initialize_langfuse()
+        self.load()
 
     def initialize_langfuse(self) -> None:
-        # Configure Langfuse singleton with our APIKeys.
-        # If langfuse is disabled, it will just ignore all the calls, so no need to do if-else around the code.
-        keys = APIKeys()
-        if self.enable_langfuse:
-            langfuse_context.configure(
-                public_key=keys.langfuse_public_key,
-                secret_key=keys.langfuse_secret_key.get_secret_value(),
-                host=keys.langfuse_host,
-                enabled=self.enable_langfuse,
-            )
-        else:
-            langfuse_context.configure(enabled=self.enable_langfuse)
+        initialize_langfuse(self.enable_langfuse)
 
     def langfuse_update_current_trace(
         self,

From b615f315b021e8daedc472b79157360796dd9233 Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Wed, 21 Aug 2024 10:03:55 +0200
Subject: [PATCH 18/18] fix poetry file

---
 poetry.lock    | 5767 ++++++++++++++++++++++++++++++++++++++++++++++++
 pyproject.toml |    2 +-
 2 files changed, 5768 insertions(+), 1 deletion(-)

diff --git a/poetry.lock b/poetry.lock
index e69de29b..1f7942a8 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -0,0 +1,5767 @@
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.4.0"
+description = "Happy Eyeballs for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "aiohappyeyeballs-2.4.0-py3-none-any.whl", hash = "sha256:7ce92076e249169a13c2f49320d1967425eaf1f407522d707d59cac7628d62bd"},
+    {file = "aiohappyeyeballs-2.4.0.tar.gz", hash = "sha256:55a1714f084e63d49639800f95716da97a1f173d46a16dfcfda0016abb93b6b2"},
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.10.5"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "aiohttp-3.10.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:18a01eba2574fb9edd5f6e5fb25f66e6ce061da5dab5db75e13fe1558142e0a3"},
+    {file = "aiohttp-3.10.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:94fac7c6e77ccb1ca91e9eb4cb0ac0270b9fb9b289738654120ba8cebb1189c6"},
+    {file = "aiohttp-3.10.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2f1f1c75c395991ce9c94d3e4aa96e5c59c8356a15b1c9231e783865e2772699"},
+    {file = "aiohttp-3.10.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4f7acae3cf1a2a2361ec4c8e787eaaa86a94171d2417aae53c0cca6ca3118ff6"},
+    {file = "aiohttp-3.10.5-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:94c4381ffba9cc508b37d2e536b418d5ea9cfdc2848b9a7fea6aebad4ec6aac1"},
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+    {file = "yarl-1.9.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:db8e58b9d79200c76956cefd14d5c90af54416ff5353c5bfd7cbe58818e26ef0"},
+    {file = "yarl-1.9.4-cp39-cp39-win32.whl", hash = "sha256:c7224cab95645c7ab53791022ae77a4509472613e839dab722a72abe5a684575"},
+    {file = "yarl-1.9.4-cp39-cp39-win_amd64.whl", hash = "sha256:824d6c50492add5da9374875ce72db7a0733b29c2394890aef23d533106e2b15"},
+    {file = "yarl-1.9.4-py3-none-any.whl", hash = "sha256:928cecb0ef9d5a7946eb6ff58417ad2fe9375762382f1bf5c55e61645f2c43ad"},
+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
+[extras]
+google = ["google-api-python-client"]
+langchain = ["langchain", "langchain-openai"]
+openai = ["openai"]
+
+[metadata]
+lock-version = "2.0"
+python-versions = ">=3.10,<3.12"
+content-hash = "a64f518927f4584112a602c1df5c77a1fc9c1bf745d0b48b311248cea6c60291"
diff --git a/pyproject.toml b/pyproject.toml
index 58633a2e..37c915f3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "prediction-market-agent-tooling"
-version = "0.48.2"
+version = "0.48.3"
 description = "Tools to benchmark, deploy and monitor prediction market agents."
 authors = ["Gnosis"]
 readme = "README.md"