diff --git a/packages/opentelemetry-instrumentation-google-generativeai/opentelemetry/instrumentation/google_generativeai/__init__.py b/packages/opentelemetry-instrumentation-google-generativeai/opentelemetry/instrumentation/google_generativeai/__init__.py index c2424d10c1..1dd276623e 100644 --- a/packages/opentelemetry-instrumentation-google-generativeai/opentelemetry/instrumentation/google_generativeai/__init__.py +++ b/packages/opentelemetry-instrumentation-google-generativeai/opentelemetry/instrumentation/google_generativeai/__init__.py @@ -4,7 +4,7 @@ import types from typing import Collection -from google.generativeai.types.generation_types import GenerateContentResponse +from google.genai.types import GenerateContentResponse from opentelemetry import context as context_api from opentelemetry._events import get_event_logger from opentelemetry.instrumentation.google_generativeai.config import Config @@ -20,7 +20,6 @@ ) from opentelemetry.instrumentation.google_generativeai.utils import ( dont_throw, - is_package_installed, should_emit_events, ) from opentelemetry.instrumentation.google_generativeai.version import __version__ @@ -36,36 +35,6 @@ logger = logging.getLogger(__name__) -LEGACY_WRAPPED_METHODS = [ - { - "package": "google.generativeai.generative_models", - "object": "GenerativeModel", - "method": "generate_content", - "span_name": "gemini.generate_content", - }, - { - "package": "google.generativeai.generative_models", - "object": "GenerativeModel", - "method": "generate_content_async", - "span_name": "gemini.generate_content_async", - }, -] - -WRAPPED_METHODS = [ - { - "package": "google.genai.models", - "object": "Models", - "method": "generate_content", - "span_name": "gemini.generate_content", - }, - { - "package": "google.genai.models", - "object": "AsyncModels", - "method": "generate_content", - "span_name": "gemini.generate_content", - }, -] - WRAPPED_METHODS = [ { "package": "google.genai.models", @@ -286,20 +255,10 @@ def __init__(self, exception_logger=None, use_legacy_attributes=True): Config.use_legacy_attributes = use_legacy_attributes def instrumentation_dependencies(self) -> Collection[str]: - if is_package_installed("google.genai"): - return ("google-genai >= 0.1.0",) - elif is_package_installed("google.generativeai"): - return ["google-generativeai >= 0.5.0"] - else: - return [] + return ("google-genai >= 1.0.0",) def _wrapped_methods(self): - if is_package_installed("google.genai"): - return WRAPPED_METHODS - elif is_package_installed("google.generativeai"): - return LEGACY_WRAPPED_METHODS - else: - return [] + return WRAPPED_METHODS def _instrument(self, **kwargs): tracer_provider = kwargs.get("tracer_provider") @@ -312,7 +271,7 @@ def _instrument(self, **kwargs): __name__, __version__, event_logger_provider=event_logger_provider ) - for wrapped_method in WRAPPED_METHODS: + for wrapped_method in self._wrapped_methods(): wrap_package = wrapped_method.get("package") wrap_object = wrapped_method.get("object") wrap_method = wrapped_method.get("method") diff --git a/packages/opentelemetry-instrumentation-google-generativeai/opentelemetry/instrumentation/google_generativeai/event_emitter.py b/packages/opentelemetry-instrumentation-google-generativeai/opentelemetry/instrumentation/google_generativeai/event_emitter.py index 4f37de6f92..e8ff4179f0 100644 --- a/packages/opentelemetry-instrumentation-google-generativeai/opentelemetry/instrumentation/google_generativeai/event_emitter.py +++ b/packages/opentelemetry-instrumentation-google-generativeai/opentelemetry/instrumentation/google_generativeai/event_emitter.py @@ -2,7 +2,7 @@ from enum import Enum from typing import Union -from google.generativeai.types.generation_types import GenerateContentResponse +from google.genai.types import GenerateContentResponse from opentelemetry._events import Event, EventLogger from opentelemetry.instrumentation.google_generativeai.event_models import ( ChoiceEvent, diff --git a/packages/opentelemetry-instrumentation-google-generativeai/poetry.lock b/packages/opentelemetry-instrumentation-google-generativeai/poetry.lock index ee46db52b1..c8c837697e 100644 --- a/packages/opentelemetry-instrumentation-google-generativeai/poetry.lock +++ b/packages/opentelemetry-instrumentation-google-generativeai/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.0.1 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 = "annotated-types" @@ -6,7 +6,6 @@ version = "0.7.0" description = "Reusable constraint types to use with typing.Annotated" optional = false python-versions = ">=3.8" -groups = ["test"] files = [ {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, @@ -14,14 +13,13 @@ files = [ [[package]] name = "anyio" -version = "4.9.0" -description = "High level compatibility layer for multiple asynchronous event loop implementations" +version = "4.10.0" +description = "High-level concurrency and networking framework on top of asyncio or Trio" optional = false python-versions = ">=3.9" -groups = ["test"] files = [ - {file = "anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c"}, - {file = "anyio-4.9.0.tar.gz", hash = "sha256:673c0c244e15788651a4ff38710fea9675823028a6f08a5eda409e0c9840a028"}, + {file = "anyio-4.10.0-py3-none-any.whl", hash = "sha256:60e474ac86736bbfd6f210f7a61218939c318f43f9972497381f1c5e930ed3d1"}, + {file = "anyio-4.10.0.tar.gz", hash = "sha256:3f3fae35c96039744587aa5b8371e7e8e603c0702999535961dd336026973ba6"}, ] [package.dependencies] @@ -31,8 +29,6 @@ sniffio = ">=1.1" typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} [package.extras] -doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx_rtd_theme"] -test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1)", "uvloop (>=0.21)"] trio = ["trio (>=0.26.1)"] [[package]] @@ -41,7 +37,6 @@ version = "2.2.0" description = "A tool that automatically formats Python code to conform to the PEP 8 style guide" optional = false python-versions = ">=3.8" -groups = ["dev"] files = [ {file = "autopep8-2.2.0-py2.py3-none-any.whl", hash = "sha256:05418a981f038969d8bdcd5636bf15948db7555ae944b9f79b5a34b35f1370d4"}, {file = "autopep8-2.2.0.tar.gz", hash = "sha256:d306a0581163ac29908280ad557773a95a9bede072c0fafed6f141f5311f43c1"}, @@ -53,126 +48,112 @@ tomli = {version = "*", markers = "python_version < \"3.11\""} [[package]] name = "cachetools" -version = "5.4.0" +version = "5.5.2" description = "Extensible memoizing collections and decorators" optional = false python-versions = ">=3.7" -groups = ["test"] files = [ - {file = "cachetools-5.4.0-py3-none-any.whl", hash = "sha256:3ae3b49a3d5e28a77a0be2b37dbcb89005058959cb2323858c2657c4a8cab474"}, - {file = "cachetools-5.4.0.tar.gz", hash = "sha256:b8adc2e7c07f105ced7bc56dbb6dfbe7c4a00acce20e2227b3f355be89bc6827"}, + {file = "cachetools-5.5.2-py3-none-any.whl", hash = "sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a"}, + {file = "cachetools-5.5.2.tar.gz", hash = "sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4"}, ] [[package]] name = "certifi" -version = "2024.7.4" +version = "2025.8.3" description = "Python package for providing Mozilla's CA Bundle." optional = false -python-versions = ">=3.6" -groups = ["test"] +python-versions = ">=3.7" files = [ - {file = "certifi-2024.7.4-py3-none-any.whl", hash = "sha256:c198e21b1289c2ab85ee4e67bb4b4ef3ead0892059901a8d5b622f24a1101e90"}, - {file = "certifi-2024.7.4.tar.gz", hash = "sha256:5a1e7645bc0ec61a09e26c36f6106dd4cf40c6db3a1fb6352b0244e7fb057c7b"}, + {file = "certifi-2025.8.3-py3-none-any.whl", hash = "sha256:f6c12493cfb1b06ba2ff328595af9350c65d6644968e5d3a2ffd78699af217a5"}, + {file = "certifi-2025.8.3.tar.gz", hash = "sha256:e564105f78ded564e3ae7c923924435e1daa7463faeab5bb932bc53ffae63407"}, ] [[package]] name = "charset-normalizer" -version = "3.3.2" +version = "3.4.3" description = "The Real First Universal Charset Detector. 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"opentelemetry.instrumentation.google_generativeai:GoogleGenerativeAiInstrumentor" diff --git a/packages/opentelemetry-instrumentation-google-generativeai/tests/conftest.py b/packages/opentelemetry-instrumentation-google-generativeai/tests/conftest.py index 3f73ec5f9a..18aba1739e 100644 --- a/packages/opentelemetry-instrumentation-google-generativeai/tests/conftest.py +++ b/packages/opentelemetry-instrumentation-google-generativeai/tests/conftest.py @@ -2,7 +2,7 @@ import os -import google.generativeai as genai +from google import genai import pytest from opentelemetry.instrumentation.google_generativeai import ( GoogleGenerativeAiInstrumentor, @@ -53,9 +53,8 @@ def fixture_event_logger_provider(log_exporter): @pytest.fixture def genai_client(): - genai.configure(api_key=os.environ["GOOGLE_API_KEY"]) - - return genai.GenerativeModel("gemini-1.5-flash") + client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"]) + return client.models @pytest.fixture(scope="function") diff --git a/packages/opentelemetry-instrumentation-google-generativeai/tests/test_new_library_instrumentation.py b/packages/opentelemetry-instrumentation-google-generativeai/tests/test_new_library_instrumentation.py new file mode 100644 index 0000000000..1933c61b90 --- /dev/null +++ b/packages/opentelemetry-instrumentation-google-generativeai/tests/test_new_library_instrumentation.py @@ -0,0 +1,66 @@ +"""Test that the google-genai library instrumentation works.""" + +from opentelemetry.instrumentation.google_generativeai import ( + GoogleGenerativeAiInstrumentor, +) + + +def test_library_instrumentation(): + """Test that the google-genai library gets properly instrumented.""" + # Import the library + from google import genai + from google.genai.models import Models + + # Set up instrumentor + instrumentor = GoogleGenerativeAiInstrumentor() + + # Verify methods are not wrapped initially + assert not hasattr(Models.generate_content, '__wrapped__') + + try: + instrumentor.instrument() + + # Verify methods are now wrapped + assert hasattr(Models.generate_content, '__wrapped__') + + # Verify it's our wrapper + wrapped_method = Models.generate_content + assert callable(wrapped_method) + + # Test that we can create a client + client = genai.Client(api_key="test_key") + assert client is not None + assert hasattr(client, 'models') + assert isinstance(client.models, Models) + + finally: + instrumentor.uninstrument() + + # Verify methods are unwrapped + assert not hasattr(Models.generate_content, '__wrapped__') + + +def test_instrumentation_dependencies(): + """Test that the instrumentor has correct dependencies.""" + instrumentor = GoogleGenerativeAiInstrumentor() + deps = instrumentor.instrumentation_dependencies() + + assert len(deps) == 1 + assert "google-genai >= 1.0.0" in deps[0] + + +def test_wrapped_methods(): + """Test that the correct methods are wrapped.""" + instrumentor = GoogleGenerativeAiInstrumentor() + methods = instrumentor._wrapped_methods() + + assert len(methods) == 2 + + # Should be using new library methods + packages = [method.get("package", "") for method in methods] + assert all("google.genai" in pkg for pkg in packages) + + # Should have both sync and async methods + objects = [method.get("object", "") for method in methods] + assert "Models" in objects + assert "AsyncModels" in objects