diff --git a/langfuse/_utils/serializer.py b/langfuse/_utils/serializer.py
index 9232cc908..289531b23 100644
--- a/langfuse/_utils/serializer.py
+++ b/langfuse/_utils/serializer.py
@@ -28,7 +28,7 @@ class Serializable:  # type: ignore
 
 # Attempt to import numpy
 try:
-    import numpy as np
+    import numpy as np  # type: ignore[import-not-found]
 except ImportError:
     np = None  # type: ignore
 
diff --git a/poetry.lock b/poetry.lock
index ad95e9e46..644f9c5de 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,3257 +1,1058 @@
-# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
 
 [[package]]
-name = "aiohappyeyeballs"
-version = "2.6.1"
-description = "Happy Eyeballs for asyncio"
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
 optional = false
-python-versions = ">=3.9"
-groups = ["main", "dev"]
+python-versions = ">=3.8"
 files = [
-    {file = "aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8"},
-    {file = "aiohappyeyeballs-2.6.1.tar.gz", hash = "sha256:c3f9d0113123803ccadfdf3f0faa505bc78e6a72d1cc4806cbd719826e943558"},
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
 ]
-markers = {main = "extra == \"langchain\""}
 
 [[package]]
-name = "aiohttp"
-version = "3.12.14"
-description = "Async http client/server framework (asyncio)"
+name = "anyio"
+version = "4.10.0"
+description = "High-level concurrency and networking framework on top of asyncio or Trio"
 optional = false
 python-versions = ">=3.9"
-groups = ["main", "dev"]
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 [[package]]
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 [[package]]
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-[package.dependencies]
-coloredlogs = "*"
-flatbuffers = "*"
-numpy = ">=1.21.6"
-packaging = "*"
-protobuf = "*"
-sympy = "*"
-
 [[package]]
 name = "openai"
-version = "1.93.0"
+version = "1.99.5"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
-groups = ["main", "dev"]
 files = [
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 ]
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 [package.dependencies]
 anyio = ">=3.5.0,<5"
@@ -3264,396 +1065,302 @@ tqdm = ">4"
 typing-extensions = ">=4.11,<5"
 
 [package.extras]
-aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.6)"]
+aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.8)"]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 realtime = ["websockets (>=13,<16)"]
 voice-helpers = ["numpy (>=2.0.2)", "sounddevice (>=0.5.1)"]
 
 [[package]]
 name = "opentelemetry-api"
-version = "1.33.1"
+version = "1.36.0"
 description = "OpenTelemetry Python API"
 optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev"]
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
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-importlib-metadata = ">=6.0,<8.7.0"
+importlib-metadata = ">=6.0,<8.8.0"
+typing-extensions = ">=4.5.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp"
-version = "1.33.1"
+version = "1.36.0"
 description = "OpenTelemetry Collector Exporters"
 optional = false
-python-versions = ">=3.8"
-groups = ["main"]
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
-opentelemetry-exporter-otlp-proto-grpc = "1.33.1"
-opentelemetry-exporter-otlp-proto-http = "1.33.1"
+opentelemetry-exporter-otlp-proto-grpc = "1.36.0"
+opentelemetry-exporter-otlp-proto-http = "1.36.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-common"
-version = "1.33.1"
+version = "1.36.0"
 description = "OpenTelemetry Protobuf encoding"
 optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev"]
+python-versions = ">=3.9"
 files = [
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 ]
 
 [package.dependencies]
-opentelemetry-proto = "1.33.1"
+opentelemetry-proto = "1.36.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-grpc"
-version = "1.33.1"
+version = "1.36.0"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev"]
+python-versions = ">=3.9"
 files = [
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+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.36.0-py3-none-any.whl", hash = "sha256:734e841fc6a5d6f30e7be4d8053adb703c70ca80c562ae24e8083a28fadef211"},
+    {file = "opentelemetry_exporter_otlp_proto_grpc-1.36.0.tar.gz", hash = "sha256:b281afbf7036b325b3588b5b6c8bb175069e3978d1bd24071f4a59d04c1e5bbf"},
 ]
 
 [package.dependencies]
-deprecated = ">=1.2.6"
-googleapis-common-protos = ">=1.52,<2.0"
+googleapis-common-protos = ">=1.57,<2.0"
 grpcio = [
     {version = ">=1.63.2,<2.0.0", markers = "python_version < \"3.13\""},
     {version = ">=1.66.2,<2.0.0", markers = "python_version >= \"3.13\""},
 ]
 opentelemetry-api = ">=1.15,<2.0"
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-opentelemetry-proto = "1.33.1"
-opentelemetry-sdk = ">=1.33.1,<1.34.0"
+opentelemetry-exporter-otlp-proto-common = "1.36.0"
+opentelemetry-proto = "1.36.0"
+opentelemetry-sdk = ">=1.36.0,<1.37.0"
+typing-extensions = ">=4.6.0"
 
 [[package]]
 name = "opentelemetry-exporter-otlp-proto-http"
-version = "1.33.1"
+version = "1.36.0"
 description = "OpenTelemetry Collector Protobuf over HTTP Exporter"
 optional = false
-python-versions = ">=3.8"
-groups = ["main"]
+python-versions = ">=3.9"
 files = [
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+    {file = "opentelemetry_exporter_otlp_proto_http-1.36.0-py3-none-any.whl", hash = "sha256:3d769f68e2267e7abe4527f70deb6f598f40be3ea34c6adc35789bea94a32902"},
+    {file = "opentelemetry_exporter_otlp_proto_http-1.36.0.tar.gz", hash = "sha256:dd3637f72f774b9fc9608ab1ac479f8b44d09b6fb5b2f3df68a24ad1da7d356e"},
 ]
 
 [package.dependencies]
-deprecated = ">=1.2.6"
 googleapis-common-protos = ">=1.52,<2.0"
 opentelemetry-api = ">=1.15,<2.0"
-opentelemetry-exporter-otlp-proto-common = "1.33.1"
-opentelemetry-proto = "1.33.1"
-opentelemetry-sdk = ">=1.33.1,<1.34.0"
+opentelemetry-exporter-otlp-proto-common = "1.36.0"
+opentelemetry-proto = "1.36.0"
+opentelemetry-sdk = ">=1.36.0,<1.37.0"
 requests = ">=2.7,<3.0"
-
-[[package]]
-name = "opentelemetry-instrumentation"
-version = "0.54b1"
-description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
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-]
-
-[package.dependencies]
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-opentelemetry-semantic-conventions = "0.54b1"
-packaging = ">=18.0"
-wrapt = ">=1.0.0,<2.0.0"
-
-[[package]]
-name = "opentelemetry-instrumentation-asgi"
-version = "0.54b1"
-description = "ASGI instrumentation for OpenTelemetry"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
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-]
-
-[package.dependencies]
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-opentelemetry-api = ">=1.12,<2.0"
-opentelemetry-instrumentation = "0.54b1"
-opentelemetry-semantic-conventions = "0.54b1"
-opentelemetry-util-http = "0.54b1"
-
-[package.extras]
-instruments = ["asgiref (>=3.0,<4.0)"]
-
-[[package]]
-name = "opentelemetry-instrumentation-fastapi"
-version = "0.54b1"
-description = "OpenTelemetry FastAPI Instrumentation"
-optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
-files = [
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-]
-
-[package.dependencies]
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-opentelemetry-instrumentation-asgi = "0.54b1"
-opentelemetry-semantic-conventions = "0.54b1"
-opentelemetry-util-http = "0.54b1"
-
-[package.extras]
-instruments = ["fastapi (>=0.58,<1.0)"]
+typing-extensions = ">=4.5.0"
 
 [[package]]
 name = "opentelemetry-proto"
-version = "1.33.1"
+version = "1.36.0"
 description = "OpenTelemetry Python Proto"
 optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev"]
+python-versions = ">=3.9"
 files = [
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+    {file = "opentelemetry_proto-1.36.0-py3-none-any.whl", hash = "sha256:151b3bf73a09f94afc658497cf77d45a565606f62ce0c17acb08cd9937ca206e"},
+    {file = "opentelemetry_proto-1.36.0.tar.gz", hash = "sha256:0f10b3c72f74c91e0764a5ec88fd8f1c368ea5d9c64639fb455e2854ef87dd2f"},
 ]
 
 [package.dependencies]
-protobuf = ">=5.0,<6.0"
+protobuf = ">=5.0,<7.0"
 
 [[package]]
 name = "opentelemetry-sdk"
-version = "1.33.1"
+version = "1.36.0"
 description = "OpenTelemetry Python SDK"
 optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev"]
+python-versions = ">=3.9"
 files = [
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+    {file = "opentelemetry_sdk-1.36.0-py3-none-any.whl", hash = "sha256:19fe048b42e98c5c1ffe85b569b7073576ad4ce0bcb6e9b4c6a39e890a6c45fb"},
+    {file = "opentelemetry_sdk-1.36.0.tar.gz", hash = "sha256:19c8c81599f51b71670661ff7495c905d8fdf6976e41622d5245b791b06fa581"},
 ]
 
 [package.dependencies]
-opentelemetry-api = "1.33.1"
-opentelemetry-semantic-conventions = "0.54b1"
-typing-extensions = ">=3.7.4"
+opentelemetry-api = "1.36.0"
+opentelemetry-semantic-conventions = "0.57b0"
+typing-extensions = ">=4.5.0"
 
 [[package]]
 name = "opentelemetry-semantic-conventions"
-version = "0.54b1"
+version = "0.57b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
-python-versions = ">=3.8"
-groups = ["main", "dev"]
+python-versions = ">=3.9"
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+version = "8.4.1"
 description = "pytest: simple powerful testing with Python"
 optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
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-exceptiongroup = {version = ">=1.0.0rc8", markers = "python_version < \"3.11\""}
-iniconfig = "*"
-packaging = "*"
+colorama = {version = ">=0.4", markers = "sys_platform == \"win32\""}
+exceptiongroup = {version = ">=1", markers = "python_version < \"3.11\""}
+iniconfig = ">=1"
+packaging = ">=20"
 pluggy = ">=1.5,<2"
+pygments = ">=2.7.2"
 tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 
 [package.extras]
-dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
+dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "requests", "setuptools", "xmlschema"]
 
 [[package]]
 name = "pytest-asyncio"
@@ -4338,7 +1638,6 @@ version = "0.23.8"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.8"
-groups = ["dev"]
 files = [
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@@ -4353,14 +1652,13 @@ testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
 
 [[package]]
 name = "pytest-httpserver"
-version = "1.0.12"
+version = "1.1.3"
 description = "pytest-httpserver is a httpserver for pytest"
 optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
@@ -4368,14 +1666,13 @@ Werkzeug = ">=2.0.0"
 
 [[package]]
 name = "pytest-timeout"
-version = "2.3.1"
+version = "2.4.0"
 description = "pytest plugin to abort hanging tests"
 optional = false
 python-versions = ">=3.7"
-groups = ["dev"]
 files = [
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 [package.dependencies]
@@ -4383,14 +1680,13 @@ pytest = ">=7.0.0"
 
 [[package]]
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-version = "3.6.1"
+version = "3.8.0"
 description = "pytest xdist plugin for distributed testing, most importantly across multiple CPUs"
 optional = false
-python-versions = ">=3.8"
-groups = ["dev"]
+python-versions = ">=3.9"
 files = [
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 [package.dependencies]
@@ -4402,197 +1698,162 @@ psutil = ["psutil (>=3.0)"]
 setproctitle = ["setproctitle"]
 testing = ["filelock"]
 
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 mssql-pymssql = ["pymssql"]
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@@ -4954,7 +2015,7 @@ mysql-connector = ["mysql-connector-python"]
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@@ -4963,115 +2024,59 @@ postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
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 [package.dependencies]
@@ -5081,261 +2086,92 @@ requests = ">=2.26.0"
 [package.extras]
 blobfile = ["blobfile (>=2)"]
 
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 notebook = ["ipywidgets (>=6)"]
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 [package.dependencies]
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+]
+
+[package.dependencies]
+cffi = {version = ">=1.11", markers = "platform_python_implementation == \"PyPy\""}
+
+[package.extras]
+cffi = ["cffi (>=1.11)"]
 
 [extras]
 langchain = ["langchain"]
-llama-index = []
 openai = ["openai"]
 
 [metadata]
-lock-version = "2.1"
+lock-version = "2.0"
 python-versions = ">=3.9,<4.0"
-content-hash = "ac31e0db93cfcbf0adbb201a20b1547d1af5347437062d55142d3b24838f711e"
+content-hash = "746d378f1bbcf8c86346a0ac7a4ebb400462d38e43eee5d7edf51dd78a8307a1"
diff --git a/pyproject.toml b/pyproject.toml
index e45afb74c..4f9db2c54 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -23,37 +23,14 @@ opentelemetry-exporter-otlp = "^1.33.1"
 
 [tool.poetry.group.dev.dependencies]
 pytest = ">=7.4,<9.0"
-chromadb = ">=0.4.2,<0.6.0"
-tiktoken = "0.7.0"
 pytest-timeout = "^2.1.0"
 pytest-xdist = "^3.3.1"
-respx = ">=0.20.2,<0.22.0"
-google-search-results = "^2.4.2"
-huggingface_hub = ">=0.16.4,<0.25.0"
 pre-commit = "^3.2.2"
-anthropic = ">=0.17.0,<1"
-bs4 = ">=0.0.1,<0.0.3"
-lark = "^1.1.7"
 pytest-asyncio = ">=0.21.1,<0.24.0"
 pytest-httpserver = "^1.0.8"
-boto3 = "^1.28.59"
 ruff = ">=0.1.8,<0.6.0"
 mypy = "^1.0.0"
-langchain-mistralai = ">=0.0.1,<0.3"
-google-cloud-aiplatform = "^1.38.1"
-cohere = ">=4.46,<6.0"
-langchain-google-vertexai = ">=1.0.0,<3.0.0"
 langchain-openai = ">=0.0.5,<0.3"
-dashscope = "^1.14.1"
-pymongo = "^4.6.1"
-llama-index-llms-anthropic = ">=0.1.1,<0.6"
-bson = "^0.5.10"
-langchain-anthropic = ">=0.1.4,<0.4"
-langchain-groq = ">=0.1.3,<0.3"
-langchain-aws = ">=0.1.3,<0.3"
-langchain-ollama = "^0.2.0"
-langchain-cohere = "^0.3.3"
-langchain-community = ">=0.2.14,<0.4"
 langgraph = "^0.2.62"
 
 [tool.poetry.group.docs.dependencies]
@@ -62,7 +39,6 @@ pdoc = "^14.4.0"
 [tool.poetry.extras]
 openai = ["openai"]
 langchain = ["langchain"]
-llama-index = ["llama-index"]
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
diff --git a/tests/test_extract_model.py b/tests/test_extract_model.py
deleted file mode 100644
index 5db2961f6..000000000
--- a/tests/test_extract_model.py
+++ /dev/null
@@ -1,158 +0,0 @@
-from typing import Any
-from unittest.mock import MagicMock
-
-import pytest
-from langchain.schema.messages import HumanMessage
-from langchain_anthropic import Anthropic, ChatAnthropic
-from langchain_aws import BedrockLLM, ChatBedrock
-from langchain_community.chat_models import (
-    ChatCohere,
-    ChatTongyi,
-)
-from langchain_community.chat_models.fake import FakeMessagesListChatModel
-
-# from langchain_huggingface.llms import HuggingFacePipeline
-from langchain_community.llms.textgen import TextGen
-from langchain_core.load.dump import default
-from langchain_google_vertexai import ChatVertexAI
-from langchain_groq import ChatGroq
-from langchain_mistralai.chat_models import ChatMistralAI
-from langchain_ollama import ChatOllama, OllamaLLM
-from langchain_openai import (
-    AzureChatOpenAI,
-    ChatOpenAI,
-    OpenAI,
-)
-
-from langfuse.langchain import CallbackHandler
-from langfuse.langchain.utils import _extract_model_name
-from tests.utils import get_api
-
-
-@pytest.mark.parametrize(
-    "expected_model,model",
-    [
-        (
-            "mixtral-8x7b-32768",
-            ChatGroq(
-                temperature=0, model_name="mixtral-8x7b-32768", groq_api_key="something"
-            ),
-        ),
-        ("llama3", OllamaLLM(model="llama3")),
-        ("llama3", ChatOllama(model="llama3")),
-        (
-            None,
-            FakeMessagesListChatModel(responses=[HumanMessage("Hello, how are you?")]),
-        ),
-        (
-            "mistralai",
-            ChatMistralAI(mistral_api_key="mistral_api_key", model="mistralai"),
-        ),
-        (
-            "text-gen",
-            TextGen(model_url="some-url"),
-        ),  # local deployments, does not have a model name
-        ("claude-2", ChatAnthropic(model_name="claude-2")),
-        (
-            "claude-3-sonnet-20240229",
-            ChatAnthropic(model="claude-3-sonnet-20240229"),
-        ),
-        ("claude-2", Anthropic()),
-        ("claude-2", Anthropic()),
-        ("command", ChatCohere(model="command", cohere_api_key="command")),
-        (None, ChatTongyi(dashscope_api_key="dash")),
-        (
-            "amazon.titan-tg1-large",
-            BedrockLLM(
-                model="amazon.titan-tg1-large",
-                region="us-east-1",
-                client=MagicMock(),
-            ),
-        ),
-        (
-            "anthropic.claude-3-sonnet-20240229-v1:0",
-            ChatBedrock(
-                model_id="anthropic.claude-3-sonnet-20240229-v1:0",
-                region_name="us-east-1",
-                client=MagicMock(),
-            ),
-        ),
-        (
-            "claude-1",
-            BedrockLLM(
-                model="claude-1",
-                region="us-east-1",
-                client=MagicMock(),
-            ),
-        ),
-    ],
-)
-def test_models(expected_model: str, model: Any):
-    serialized = default(model)
-    model_name = _extract_model_name(serialized)
-    assert model_name == expected_model
-
-
-# all models here need to be tested here because we take the model from the kwargs / invocation_params or we need to make an actual call for setup
-@pytest.mark.skip("Flaky")
-@pytest.mark.parametrize(
-    "expected_model,model",
-    [
-        ("gpt-3.5-turbo-0125", ChatOpenAI()),
-        ("gpt-3.5-turbo-instruct", OpenAI()),
-        (
-            "gpt-3.5-turbo",
-            AzureChatOpenAI(
-                openai_api_version="2023-05-15",
-                model="gpt-3.5-turbo",
-                azure_deployment="your-deployment-name",
-                azure_endpoint="https://your-endpoint-name.azurewebsites.net",
-            ),
-        ),
-        # (
-        #     "gpt2",
-        #     HuggingFacePipeline(
-        #         model_id="gpt2",
-        #         model_kwargs={
-        #             "max_new_tokens": 512,
-        #             "top_k": 30,
-        #             "temperature": 0.1,
-        #             "repetition_penalty": 1.03,
-        #         },
-        #     ),
-        # ),
-        (
-            "qwen-72b-chat",
-            ChatTongyi(model="qwen-72b-chat", dashscope_api_key="dashscope"),
-        ),
-        (
-            "gemini",
-            ChatVertexAI(
-                model_name="gemini", credentials=MagicMock(), project="some-project"
-            ),
-        ),
-    ],
-)
-def test_entire_llm_call(expected_model, model):
-    callback = CallbackHandler()
-
-    with callback.client.start_as_current_span(name="parent") as span:
-        trace_id = span.trace_id
-
-        try:
-            # LLM calls are failing, because of missing API keys etc.
-            # However, we are still able to extract the model names beforehand.
-            model.invoke("Hello, how are you?", config={"callbacks": [callback]})
-        except Exception as e:
-            print(e)
-            pass
-
-    callback.client.flush()
-    api = get_api()
-
-    trace = api.trace.get(trace_id)
-
-    assert len(trace.observations) == 2
-
-    generation = list(filter(lambda o: o.type == "GENERATION", trace.observations))[0]
-    assert generation.model == expected_model
diff --git a/tests/test_json.py b/tests/test_json.py
index bf0e38c65..afcacfc76 100644
--- a/tests/test_json.py
+++ b/tests/test_json.py
@@ -7,7 +7,6 @@
 from unittest.mock import patch
 
 import pytest
-from bson import ObjectId
 from langchain.schema.messages import HumanMessage
 from pydantic import BaseModel
 
@@ -129,11 +128,3 @@ def test_observation_level():
     result = json.dumps(ObservationLevel.ERROR, cls=EventSerializer)
 
     assert result == '"ERROR"'
-
-
-def test_mongo_cursor():
-    test_id = ObjectId("5f3e3e3e3e3e3e3e3e3e3e3e")
-
-    result = json.dumps(test_id, cls=EventSerializer)
-
-    assert isinstance(result, str)
diff --git a/tests/test_langchain.py b/tests/test_langchain.py
index 5bf764999..71b0cb5f1 100644
--- a/tests/test_langchain.py
+++ b/tests/test_langchain.py
@@ -7,20 +7,14 @@
 
 import pytest
 from langchain.chains import (
-    ConversationalRetrievalChain,
     ConversationChain,
     LLMChain,
-    RetrievalQA,
     SimpleSequentialChain,
 )
 from langchain.chains.openai_functions import create_openai_fn_chain
 from langchain.memory import ConversationBufferMemory
 from langchain.prompts import ChatPromptTemplate, PromptTemplate
 from langchain.schema import HumanMessage, SystemMessage
-from langchain.text_splitter import CharacterTextSplitter
-from langchain_community.document_loaders import TextLoader
-from langchain_community.embeddings import OpenAIEmbeddings
-from langchain_community.vectorstores import Chroma
 from langchain_core.callbacks.manager import CallbackManagerForLLMRun
 from langchain_core.language_models.llms import LLM
 from langchain_core.output_parsers import StrOutputParser
@@ -35,7 +29,6 @@
 from langfuse._client.client import Langfuse
 from langfuse.langchain import CallbackHandler
 from langfuse.langchain.CallbackHandler import LANGSMITH_TAG_HIDDEN
-from tests.api_wrapper import LangfuseAPI
 from tests.utils import create_uuid, encode_file_to_base64, get_api
 
 
@@ -226,89 +219,6 @@ def test_basic_chat_openai():
     assert generation.output is not None
 
 
-def test_callback_retriever():
-    langfuse = Langfuse()
-
-    with langfuse.start_as_current_span(name="retriever_test") as span:
-        trace_id = span.trace_id
-        handler = CallbackHandler()
-
-        loader = TextLoader("./static/state_of_the_union.txt", encoding="utf8")
-        llm = OpenAI()
-
-        documents = loader.load()
-        text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
-        texts = text_splitter.split_documents(documents)
-
-        embeddings = OpenAIEmbeddings()
-        docsearch = Chroma.from_documents(texts, embeddings)
-
-        query = "What did the president say about Ketanji Brown Jackson"
-
-        chain = RetrievalQA.from_chain_type(
-            llm,
-            retriever=docsearch.as_retriever(),
-        )
-
-        chain.run(query, callbacks=[handler])
-
-    langfuse.flush()
-
-    trace = get_api().trace.get(trace_id)
-
-    assert len(trace.observations) == 6
-    for observation in trace.observations:
-        if observation.type == "GENERATION":
-            assert observation.usage_details["input"] > 0
-            assert observation.usage_details["output"] > 0
-            assert observation.usage_details["total"] > 0
-            assert observation.input is not None
-            assert observation.input != ""
-            assert observation.output is not None
-            assert observation.output != ""
-
-
-def test_callback_retriever_with_sources():
-    langfuse = Langfuse()
-
-    with langfuse.start_as_current_span(name="retriever_with_sources_test") as span:
-        trace_id = span.trace_id
-        handler = CallbackHandler()
-
-        loader = TextLoader("./static/state_of_the_union.txt", encoding="utf8")
-        llm = OpenAI()
-
-        documents = loader.load()
-        text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
-        texts = text_splitter.split_documents(documents)
-
-        embeddings = OpenAIEmbeddings()
-        docsearch = Chroma.from_documents(texts, embeddings)
-
-        query = "What did the president say about Ketanji Brown Jackson"
-
-        chain = RetrievalQA.from_chain_type(
-            llm, retriever=docsearch.as_retriever(), return_source_documents=True
-        )
-
-        chain(query, callbacks=[handler])
-
-    langfuse.flush()
-
-    trace = get_api().trace.get(trace_id)
-
-    assert len(trace.observations) == 6
-    for observation in trace.observations:
-        if observation.type == "GENERATION":
-            assert observation.usage_details["input"] > 0
-            assert observation.usage_details["output"] > 0
-            assert observation.usage_details["total"] > 0
-            assert observation.input is not None
-            assert observation.input != ""
-            assert observation.output is not None
-            assert observation.output != ""
-
-
 def test_callback_retriever_conversational_with_memory():
     langfuse = Langfuse()
 
@@ -347,54 +257,6 @@ def test_callback_retriever_conversational_with_memory():
         assert generation.usage_details["output"] is not None
 
 
-def test_callback_retriever_conversational():
-    langfuse = Langfuse()
-
-    with langfuse.start_as_current_span(name="retriever_conversational_test") as span:
-        trace_id = span.trace_id
-        api_wrapper = LangfuseAPI()
-        handler = CallbackHandler()
-
-        loader = TextLoader("./static/state_of_the_union.txt", encoding="utf8")
-
-        documents = loader.load()
-        text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)
-        texts = text_splitter.split_documents(documents)
-
-        embeddings = OpenAIEmbeddings(openai_api_key=os.environ.get("OPENAI_API_KEY"))
-        docsearch = Chroma.from_documents(texts, embeddings)
-
-        query = "What did the president say about Ketanji Brown Jackson"
-
-        chain = ConversationalRetrievalChain.from_llm(
-            ChatOpenAI(
-                openai_api_key=os.environ.get("OPENAI_API_KEY"),
-                temperature=0.5,
-                model="gpt-3.5-turbo-16k",
-            ),
-            docsearch.as_retriever(search_kwargs={"k": 6}),
-            return_source_documents=True,
-        )
-
-        chain({"question": query, "chat_history": []}, callbacks=[handler])
-
-    handler.client.flush()
-
-    trace = api_wrapper.get_trace(trace_id)
-
-    # Add 1 to account for the wrapping span
-    assert len(trace["observations"]) == 6
-    for observation in trace["observations"]:
-        if observation["type"] == "GENERATION":
-            assert observation["promptTokens"] > 0
-            assert observation["completionTokens"] > 0
-            assert observation["totalTokens"] > 0
-            assert observation["input"] is not None
-            assert observation["input"] != ""
-            assert observation["output"] is not None
-            assert observation["output"] != ""
-
-
 def test_callback_simple_openai():
     langfuse = Langfuse()
 
diff --git a/tests/test_serializer.py b/tests/test_serializer.py
index e9f1277bd..4faf7019b 100644
--- a/tests/test_serializer.py
+++ b/tests/test_serializer.py
@@ -174,38 +174,3 @@ def __init__(self):
     obj = SlotClass()
     serializer = EventSerializer()
     assert json.loads(serializer.encode(obj)) == {"field": "value"}
-
-
-def test_numpy_float32():
-    import numpy as np
-
-    data = np.float32(1.0)
-    serializer = EventSerializer()
-
-    assert serializer.encode(data) == "1.0"
-
-
-def test_numpy_arrays():
-    import numpy as np
-
-    serializer = EventSerializer()
-
-    # Test 1D array
-    arr_1d = np.array([1, 2, 3])
-    assert json.loads(serializer.encode(arr_1d)) == [1, 2, 3]
-
-    # Test 2D array
-    arr_2d = np.array([[1, 2], [3, 4]])
-    assert json.loads(serializer.encode(arr_2d)) == [[1, 2], [3, 4]]
-
-    # Test float array
-    arr_float = np.array([1.1, 2.2, 3.3])
-    assert json.loads(serializer.encode(arr_float)) == [1.1, 2.2, 3.3]
-
-    # Test empty array
-    arr_empty = np.array([])
-    assert json.loads(serializer.encode(arr_empty)) == []
-
-    # Test mixed types that numpy can handle
-    arr_mixed = np.array([1, 2.5, 3])
-    assert json.loads(serializer.encode(arr_mixed)) == [1.0, 2.5, 3.0]
diff --git a/tests/utils.py b/tests/utils.py
index 6b6849a6a..774c0c5c3 100644
--- a/tests/utils.py
+++ b/tests/utils.py
@@ -9,15 +9,6 @@
 except ImportError:
     import pydantic  # type: ignore
 
-from llama_index.core import (
-    Settings,
-    SimpleDirectoryReader,
-    StorageContext,
-    VectorStoreIndex,
-    load_index_from_storage,
-)
-from llama_index.core.callbacks import CallbackManager
-
 from langfuse.api.client import FernLangfuse
 
 
@@ -91,26 +82,6 @@ def dict(self, **kwargs: typing.Any) -> typing.Dict[str, typing.Any]:
         return super().dict(**kwargs_with_defaults)
 
 
-def get_llama_index_index(callback, force_rebuild: bool = False):
-    if callback:
-        Settings.callback_manager = CallbackManager([callback])
-    PERSIST_DIR = "tests/mocks/llama-index-storage"
-
-    if not os.path.exists(PERSIST_DIR) or force_rebuild:
-        print("Building RAG index...")
-        documents = SimpleDirectoryReader(
-            "static", ["static/state_of_the_union_short.txt"]
-        ).load_data()
-        index = VectorStoreIndex.from_documents(documents)
-        index.storage_context.persist(persist_dir=PERSIST_DIR)
-    else:
-        print("Using pre-built index from storage...")
-        storage_context = StorageContext.from_defaults(persist_dir=PERSIST_DIR)
-        index = load_index_from_storage(storage_context)
-
-    return index
-
-
 def encode_file_to_base64(image_path) -> str:
     with open(image_path, "rb") as file:
         return base64.b64encode(file.read()).decode("utf-8")