diff --git a/.codespellrc b/.codespellrc
index 9087e5816..f91025d88 100644
--- a/.codespellrc
+++ b/.codespellrc
@@ -1,4 +1,4 @@
 [codespell]
 # skipping auto generated folders
 skip = ./.tox,./.mypy_cache,./docs/_build,./target,*/LICENSE,./venv,*/cassettes
-ignore-words-list = ot
+ignore-words-list = asend,ot
diff --git a/.github/workflows/loongsuite_lint_0.yml b/.github/workflows/loongsuite_lint_0.yml
index 97d5fe968..dad9eff2a 100644
--- a/.github/workflows/loongsuite_lint_0.yml
+++ b/.github/workflows/loongsuite_lint_0.yml
@@ -84,7 +84,7 @@ jobs:
         shell: bash
         env:
           LOONGSUITE_ALL_JOBS: >-
-            [{"name": "lint-loongsuite-instrumentation-agentscope", "package": "loongsuite-instrumentation-agentscope", "tox_env": "lint-loongsuite-instrumentation-agentscope", "ui_name": "loongsuite-instrumentation-agentscope"}, {"name": "lint-loongsuite-instrumentation-dashscope", "package": "loongsuite-instrumentation-dashscope", "tox_env": "lint-loongsuite-instrumentation-dashscope", "ui_name": "loongsuite-instrumentation-dashscope"}, {"name": "lint-loongsuite-instrumentation-claude-agent-sdk", "package": "loongsuite-instrumentation-claude-agent-sdk", "tox_env": "lint-loongsuite-instrumentation-claude-agent-sdk", "ui_name": "loongsuite-instrumentation-claude-agent-sdk"}, {"name": "lint-loongsuite-instrumentation-google-adk", "package": "loongsuite-instrumentation-google-adk", "tox_env": "lint-loongsuite-instrumentation-google-adk", "ui_name": "loongsuite-instrumentation-google-adk"}, {"name": "lint-loongsuite-instrumentation-agno", "package": "loongsuite-instrumentation-agno", "tox_env": "lint-loongsuite-instrumentation-agno", "ui_name": "loongsuite-instrumentation-agno"}, {"name": "lint-loongsuite-instrumentation-langchain", "package": "loongsuite-instrumentation-langchain", "tox_env": "lint-loongsuite-instrumentation-langchain", "ui_name": "loongsuite-instrumentation-langchain"}, {"name": "lint-loongsuite-instrumentation-langgraph", "package": "loongsuite-instrumentation-langgraph", "tox_env": "lint-loongsuite-instrumentation-langgraph", "ui_name": "loongsuite-instrumentation-langgraph"}, {"name": "lint-loongsuite-instrumentation-autogen", "package": "loongsuite-instrumentation-autogen", "tox_env": "lint-loongsuite-instrumentation-autogen", "ui_name": "loongsuite-instrumentation-autogen"}, {"name": "lint-loongsuite-instrumentation-deepagents", "package": "loongsuite-instrumentation-deepagents", "tox_env": "lint-loongsuite-instrumentation-deepagents", "ui_name": "loongsuite-instrumentation-deepagents"}, {"name": "lint-loongsuite-instrumentation-microsoft-agent-framework", "package": "loongsuite-instrumentation-microsoft-agent-framework", "tox_env": "lint-loongsuite-instrumentation-microsoft-agent-framework", "ui_name": "loongsuite-instrumentation-microsoft-agent-framework"}, {"name": "lint-loongsuite-instrumentation-strands", "package": "loongsuite-instrumentation-strands", "tox_env": "lint-loongsuite-instrumentation-strands", "ui_name": "loongsuite-instrumentation-strands"}, {"name": "lint-loongsuite-instrumentation-qwen-agent", "package": "loongsuite-instrumentation-qwen-agent", "tox_env": "lint-loongsuite-instrumentation-qwen-agent", "ui_name": "loongsuite-instrumentation-qwen-agent"}, {"name": "lint-loongsuite-instrumentation-hermes-agent", "package": "loongsuite-instrumentation-hermes-agent", "tox_env": "lint-loongsuite-instrumentation-hermes-agent", "ui_name": "loongsuite-instrumentation-hermes-agent"}, {"name": "lint-loongsuite-instrumentation-mem0", "package": "loongsuite-instrumentation-mem0", "tox_env": "lint-loongsuite-instrumentation-mem0", "ui_name": "loongsuite-instrumentation-mem0"}, {"name": "lint-util-genai", "package": "util-genai", "tox_env": "lint-util-genai", "ui_name": "util-genai"}, {"name": "lint-loongsuite-instrumentation-litellm", "package": "loongsuite-instrumentation-litellm", "tox_env": "lint-loongsuite-instrumentation-litellm", "ui_name": "loongsuite-instrumentation-litellm"}, {"name": "lint-loongsuite-instrumentation-crewai", "package": "loongsuite-instrumentation-crewai", "tox_env": "lint-loongsuite-instrumentation-crewai", "ui_name": "loongsuite-instrumentation-crewai"}, {"name": "lint-loongsuite-instrumentation-qwenpaw", "package": "loongsuite-instrumentation-qwenpaw", "tox_env": "lint-loongsuite-instrumentation-qwenpaw", "ui_name": "loongsuite-instrumentation-qwenpaw"}, {"name": "lint-loongsuite-instrumentation-algotune", "package": "loongsuite-instrumentation-algotune", "tox_env": "lint-loongsuite-instrumentation-algotune", "ui_name": "loongsuite-instrumentation-algotune"}, {"name": "lint-loongsuite-instrumentation-bfclv4", "package": "loongsuite-instrumentation-bfclv4", "tox_env": "lint-loongsuite-instrumentation-bfclv4", "ui_name": "loongsuite-instrumentation-bfclv4"}, {"name": "lint-loongsuite-instrumentation-claw-eval", "package": "loongsuite-instrumentation-claw-eval", "tox_env": "lint-loongsuite-instrumentation-claw-eval", "ui_name": "loongsuite-instrumentation-claw-eval"}, {"name": "lint-loongsuite-instrumentation-minisweagent", "package": "loongsuite-instrumentation-minisweagent", "tox_env": "lint-loongsuite-instrumentation-minisweagent", "ui_name": "loongsuite-instrumentation-minisweagent"}, {"name": "lint-loongsuite-instrumentation-openhands", "package": "loongsuite-instrumentation-openhands", "tox_env": "lint-loongsuite-instrumentation-openhands", "ui_name": "loongsuite-instrumentation-openhands"}, {"name": "lint-loongsuite-instrumentation-slop-code", "package": "loongsuite-instrumentation-slop-code", "tox_env": "lint-loongsuite-instrumentation-slop-code", "ui_name": "loongsuite-instrumentation-slop-code"}, {"name": "lint-loongsuite-instrumentation-terminus2", "package": "loongsuite-instrumentation-terminus2", "tox_env": "lint-loongsuite-instrumentation-terminus2", "ui_name": "loongsuite-instrumentation-terminus2"}, {"name": "lint-loongsuite-instrumentation-vita", "package": "loongsuite-instrumentation-vita", "tox_env": "lint-loongsuite-instrumentation-vita", "ui_name": "loongsuite-instrumentation-vita"}, {"name": "lint-loongsuite-instrumentation-webarena", "package": "loongsuite-instrumentation-webarena", "tox_env": "lint-loongsuite-instrumentation-webarena", "ui_name": "loongsuite-instrumentation-webarena"}, {"name": "lint-loongsuite-instrumentation-widesearch", "package": "loongsuite-instrumentation-widesearch", "tox_env": "lint-loongsuite-instrumentation-widesearch", "ui_name": "loongsuite-instrumentation-widesearch"}, {"name": "lint-loongsuite-instrumentation-wildtool", "package": "loongsuite-instrumentation-wildtool", "tox_env": "lint-loongsuite-instrumentation-wildtool", "ui_name": "loongsuite-instrumentation-wildtool"}]
+            [{"name": "lint-loongsuite-instrumentation-agentscope", "package": "loongsuite-instrumentation-agentscope", "tox_env": "lint-loongsuite-instrumentation-agentscope", "ui_name": "loongsuite-instrumentation-agentscope"}, {"name": "lint-loongsuite-instrumentation-dashscope", "package": "loongsuite-instrumentation-dashscope", "tox_env": "lint-loongsuite-instrumentation-dashscope", "ui_name": "loongsuite-instrumentation-dashscope"}, {"name": "lint-loongsuite-instrumentation-claude-agent-sdk", "package": "loongsuite-instrumentation-claude-agent-sdk", "tox_env": "lint-loongsuite-instrumentation-claude-agent-sdk", "ui_name": "loongsuite-instrumentation-claude-agent-sdk"}, {"name": "lint-loongsuite-instrumentation-google-adk", "package": "loongsuite-instrumentation-google-adk", "tox_env": "lint-loongsuite-instrumentation-google-adk", "ui_name": "loongsuite-instrumentation-google-adk"}, {"name": "lint-loongsuite-instrumentation-google-genai", "package": "loongsuite-instrumentation-google-genai", "tox_env": "lint-loongsuite-instrumentation-google-genai", "ui_name": "loongsuite-instrumentation-google-genai"}, {"name": "lint-loongsuite-instrumentation-agno", "package": "loongsuite-instrumentation-agno", "tox_env": "lint-loongsuite-instrumentation-agno", "ui_name": "loongsuite-instrumentation-agno"}, {"name": "lint-loongsuite-instrumentation-langchain", "package": "loongsuite-instrumentation-langchain", "tox_env": "lint-loongsuite-instrumentation-langchain", "ui_name": "loongsuite-instrumentation-langchain"}, {"name": "lint-loongsuite-instrumentation-langgraph", "package": "loongsuite-instrumentation-langgraph", "tox_env": "lint-loongsuite-instrumentation-langgraph", "ui_name": "loongsuite-instrumentation-langgraph"}, {"name": "lint-loongsuite-instrumentation-autogen", "package": "loongsuite-instrumentation-autogen", "tox_env": "lint-loongsuite-instrumentation-autogen", "ui_name": "loongsuite-instrumentation-autogen"}, {"name": "lint-loongsuite-instrumentation-deepagents", "package": "loongsuite-instrumentation-deepagents", "tox_env": "lint-loongsuite-instrumentation-deepagents", "ui_name": "loongsuite-instrumentation-deepagents"}, {"name": "lint-loongsuite-instrumentation-microsoft-agent-framework", "package": "loongsuite-instrumentation-microsoft-agent-framework", "tox_env": "lint-loongsuite-instrumentation-microsoft-agent-framework", "ui_name": "loongsuite-instrumentation-microsoft-agent-framework"}, {"name": "lint-loongsuite-instrumentation-strands", "package": "loongsuite-instrumentation-strands", "tox_env": "lint-loongsuite-instrumentation-strands", "ui_name": "loongsuite-instrumentation-strands"}, {"name": "lint-loongsuite-instrumentation-qwen-agent", "package": "loongsuite-instrumentation-qwen-agent", "tox_env": "lint-loongsuite-instrumentation-qwen-agent", "ui_name": "loongsuite-instrumentation-qwen-agent"}, {"name": "lint-loongsuite-instrumentation-hermes-agent", "package": "loongsuite-instrumentation-hermes-agent", "tox_env": "lint-loongsuite-instrumentation-hermes-agent", "ui_name": "loongsuite-instrumentation-hermes-agent"}, {"name": "lint-loongsuite-instrumentation-mem0", "package": "loongsuite-instrumentation-mem0", "tox_env": "lint-loongsuite-instrumentation-mem0", "ui_name": "loongsuite-instrumentation-mem0"}, {"name": "lint-util-genai", "package": "util-genai", "tox_env": "lint-util-genai", "ui_name": "util-genai"}, {"name": "lint-loongsuite-instrumentation-litellm", "package": "loongsuite-instrumentation-litellm", "tox_env": "lint-loongsuite-instrumentation-litellm", "ui_name": "loongsuite-instrumentation-litellm"}, {"name": "lint-loongsuite-instrumentation-crewai", "package": "loongsuite-instrumentation-crewai", "tox_env": "lint-loongsuite-instrumentation-crewai", "ui_name": "loongsuite-instrumentation-crewai"}, {"name": "lint-loongsuite-instrumentation-qwenpaw", "package": "loongsuite-instrumentation-qwenpaw", "tox_env": "lint-loongsuite-instrumentation-qwenpaw", "ui_name": "loongsuite-instrumentation-qwenpaw"}, {"name": "lint-loongsuite-instrumentation-algotune", "package": "loongsuite-instrumentation-algotune", "tox_env": "lint-loongsuite-instrumentation-algotune", "ui_name": "loongsuite-instrumentation-algotune"}, {"name": "lint-loongsuite-instrumentation-bfclv4", "package": "loongsuite-instrumentation-bfclv4", "tox_env": "lint-loongsuite-instrumentation-bfclv4", "ui_name": "loongsuite-instrumentation-bfclv4"}, {"name": "lint-loongsuite-instrumentation-claw-eval", "package": "loongsuite-instrumentation-claw-eval", "tox_env": "lint-loongsuite-instrumentation-claw-eval", "ui_name": "loongsuite-instrumentation-claw-eval"}, {"name": "lint-loongsuite-instrumentation-minisweagent", "package": "loongsuite-instrumentation-minisweagent", "tox_env": "lint-loongsuite-instrumentation-minisweagent", "ui_name": "loongsuite-instrumentation-minisweagent"}, {"name": "lint-loongsuite-instrumentation-openhands", "package": "loongsuite-instrumentation-openhands", "tox_env": "lint-loongsuite-instrumentation-openhands", "ui_name": "loongsuite-instrumentation-openhands"}, {"name": "lint-loongsuite-instrumentation-slop-code", "package": "loongsuite-instrumentation-slop-code", "tox_env": "lint-loongsuite-instrumentation-slop-code", "ui_name": "loongsuite-instrumentation-slop-code"}, {"name": "lint-loongsuite-instrumentation-terminus2", "package": "loongsuite-instrumentation-terminus2", "tox_env": "lint-loongsuite-instrumentation-terminus2", "ui_name": "loongsuite-instrumentation-terminus2"}, {"name": "lint-loongsuite-instrumentation-vita", "package": "loongsuite-instrumentation-vita", "tox_env": "lint-loongsuite-instrumentation-vita", "ui_name": "loongsuite-instrumentation-vita"}, {"name": "lint-loongsuite-instrumentation-webarena", "package": "loongsuite-instrumentation-webarena", "tox_env": "lint-loongsuite-instrumentation-webarena", "ui_name": "loongsuite-instrumentation-webarena"}, {"name": "lint-loongsuite-instrumentation-widesearch", "package": "loongsuite-instrumentation-widesearch", "tox_env": "lint-loongsuite-instrumentation-widesearch", "ui_name": "loongsuite-instrumentation-widesearch"}, {"name": "lint-loongsuite-instrumentation-wildtool", "package": "loongsuite-instrumentation-wildtool", "tox_env": "lint-loongsuite-instrumentation-wildtool", "ui_name": "loongsuite-instrumentation-wildtool"}]
           LOONGSUITE_FULL: ${{ steps.detect.outputs.full }}
           LOONGSUITE_PACKAGES: ${{ steps.detect.outputs.packages }}
         run: |
diff --git a/.github/workflows/loongsuite_test_0.yml b/.github/workflows/loongsuite_test_0.yml
index bd5199e3b..092a82805 100644
--- a/.github/workflows/loongsuite_test_0.yml
+++ b/.github/workflows/loongsuite_test_0.yml
@@ -84,7 +84,7 @@ jobs:
         shell: bash
         env:
           LOONGSUITE_ALL_JOBS: >-
-            [{"name": "py310-test-loongsuite-instrumentation-agentscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-agentscope", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-agentscope-oldest", "ui_name": "loongsuite-instrumentation-agentscope-oldest 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-agentscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-agentscope", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-agentscope-oldest", "ui_name": "loongsuite-instrumentation-agentscope-oldest 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-agentscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-agentscope", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-agentscope-oldest", "ui_name": "loongsuite-instrumentation-agentscope-oldest 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-agentscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-agentscope", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-agentscope-oldest", "ui_name": "loongsuite-instrumentation-agentscope-oldest 3.13 ARC"}, {"name": "py311-test-loongsuite-instrumentation-agentscope-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-agentscope", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-agentscope-latest", "ui_name": "loongsuite-instrumentation-agentscope-latest 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-agentscope-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-agentscope", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-agentscope-latest", "ui_name": "loongsuite-instrumentation-agentscope-latest 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-agentscope-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-agentscope", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-agentscope-latest", "ui_name": "loongsuite-instrumentation-agentscope-latest 3.13 ARC"}, {"name": "py39-test-loongsuite-instrumentation-dashscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.9", "tox_env": "py39-test-loongsuite-instrumentation-dashscope-oldest", "ui_name": "loongsuite-instrumentation-dashscope-oldest 3.9 ARC"}, {"name": "py39-test-loongsuite-instrumentation-dashscope-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.9", "tox_env": "py39-test-loongsuite-instrumentation-dashscope-latest", "ui_name": "loongsuite-instrumentation-dashscope-latest 3.9 ARC"}, {"name": "py310-test-loongsuite-instrumentation-dashscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-dashscope-oldest", "ui_name": "loongsuite-instrumentation-dashscope-oldest 3.10 ARC"}, {"name": "py310-test-loongsuite-instrumentation-dashscope-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-dashscope-latest", "ui_name": "loongsuite-instrumentation-dashscope-latest 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-dashscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-dashscope-oldest", "ui_name": "loongsuite-instrumentation-dashscope-oldest 3.11 ARC"}, {"name": "py311-test-loongsuite-instrumentation-dashscope-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-dashscope-latest", "ui_name": "loongsuite-instrumentation-dashscope-latest 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-dashscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-dashscope-oldest", "ui_name": "loongsuite-instrumentation-dashscope-oldest 3.12 ARC"}, {"name": "py312-test-loongsuite-instrumentation-dashscope-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-dashscope-latest", "ui_name": "loongsuite-instrumentation-dashscope-latest 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-dashscope-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-dashscope-oldest", "ui_name": "loongsuite-instrumentation-dashscope-oldest 3.13 ARC"}, {"name": "py313-test-loongsuite-instrumentation-dashscope-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-dashscope", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-dashscope-latest", "ui_name": "loongsuite-instrumentation-dashscope-latest 3.13 ARC"}, {"name": "py310-test-loongsuite-instrumentation-claude-agent-sdk-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-claude-agent-sdk", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-claude-agent-sdk-oldest", "ui_name": "loongsuite-instrumentation-claude-agent-sdk-oldest 3.10 ARC"}, {"name": "py310-test-loongsuite-instrumentation-claude-agent-sdk-latest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-claude-agent-sdk", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-claude-agent-sdk-latest", "ui_name": "loongsuite-instrumentation-claude-agent-sdk-latest 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-claude-agent-sdk-oldest_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-claude-agent-sdk", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-claude-agent-sdk-oldest", "ui_name": "loongsuite-instrumentation-claude-agent-sdk-oldest 3.11 ARC"}, {"name": "py311-test-loongsuite-instrumentation-claude-agent-sdk-latest_loongsuite-python-arc", 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"loongsuite-instrumentation-vita", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-vita", "ui_name": "loongsuite-instrumentation-vita 3.13 ARC"}, {"name": "py310-test-loongsuite-instrumentation-webarena_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-webarena", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-webarena", "ui_name": "loongsuite-instrumentation-webarena 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-webarena_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-webarena", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-webarena", "ui_name": "loongsuite-instrumentation-webarena 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-webarena_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-webarena", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-webarena", "ui_name": "loongsuite-instrumentation-webarena 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-webarena_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-webarena", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-webarena", "ui_name": "loongsuite-instrumentation-webarena 3.13 ARC"}, {"name": "py311-test-loongsuite-instrumentation-widesearch_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-widesearch", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-widesearch", "ui_name": "loongsuite-instrumentation-widesearch 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-widesearch_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-widesearch", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-widesearch", "ui_name": "loongsuite-instrumentation-widesearch 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-widesearch_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-widesearch", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-widesearch", "ui_name": "loongsuite-instrumentation-widesearch 3.13 ARC"}, {"name": "py310-test-loongsuite-instrumentation-wildtool_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-wildtool", "python_version": "3.10", "tox_env": "py310-test-loongsuite-instrumentation-wildtool", "ui_name": "loongsuite-instrumentation-wildtool 3.10 ARC"}, {"name": "py311-test-loongsuite-instrumentation-wildtool_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-wildtool", "python_version": "3.11", "tox_env": "py311-test-loongsuite-instrumentation-wildtool", "ui_name": "loongsuite-instrumentation-wildtool 3.11 ARC"}, {"name": "py312-test-loongsuite-instrumentation-wildtool_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-wildtool", "python_version": "3.12", "tox_env": "py312-test-loongsuite-instrumentation-wildtool", "ui_name": "loongsuite-instrumentation-wildtool 3.12 ARC"}, {"name": "py313-test-loongsuite-instrumentation-wildtool_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-instrumentation-wildtool", "python_version": "3.13", "tox_env": "py313-test-loongsuite-instrumentation-wildtool", "ui_name": "loongsuite-instrumentation-wildtool 3.13 ARC"}, {"name": "py39-test-loongsuite-distro_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-distro", "python_version": "3.9", "tox_env": "py39-test-loongsuite-distro", "ui_name": "loongsuite-distro 3.9 ARC"}, {"name": "py310-test-loongsuite-distro_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-distro", "python_version": "3.10", "tox_env": "py310-test-loongsuite-distro", "ui_name": "loongsuite-distro 3.10 ARC"}, {"name": "py311-test-loongsuite-distro_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-distro", "python_version": "3.11", "tox_env": "py311-test-loongsuite-distro", "ui_name": "loongsuite-distro 3.11 ARC"}, {"name": "py312-test-loongsuite-distro_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-distro", "python_version": "3.12", "tox_env": "py312-test-loongsuite-distro", "ui_name": "loongsuite-distro 3.12 ARC"}, {"name": "py313-test-loongsuite-distro_loongsuite-python-arc", "os": "loongsuite-python-arc", "package": "loongsuite-distro", "python_version": "3.13", "tox_env": "py313-test-loongsuite-distro", "ui_name": "loongsuite-distro 3.13 ARC"}]
           LOONGSUITE_FULL: ${{ steps.detect.outputs.full }}
           LOONGSUITE_PACKAGES: ${{ steps.detect.outputs.packages }}
         run: |
diff --git a/instrumentation-loongsuite/README.md b/instrumentation-loongsuite/README.md
index c173bb39b..8936c6c32 100644
--- a/instrumentation-loongsuite/README.md
+++ b/instrumentation-loongsuite/README.md
@@ -13,6 +13,7 @@
 | [loongsuite-instrumentation-deepagents](./loongsuite-instrumentation-deepagents) | deepagents >= 0.6.0, < 0.7.0 | No | development
 | [loongsuite-instrumentation-dify](./loongsuite-instrumentation-dify) | dify | No | development
 | [loongsuite-instrumentation-google-adk](./loongsuite-instrumentation-google-adk) | google-adk >= 0.1.0 | No | development
+| [loongsuite-instrumentation-google-genai](./loongsuite-instrumentation-google-genai) | google-genai >= 1.32.0, < 3 | Yes | development
 | [loongsuite-instrumentation-hermes-agent](./loongsuite-instrumentation-hermes-agent) | openai >= 1.0.0 | No | development
 | [loongsuite-instrumentation-langchain](./loongsuite-instrumentation-langchain) | langchain_core >= 0.1.0 | No | development
 | [loongsuite-instrumentation-langgraph](./loongsuite-instrumentation-langgraph) | langgraph >= 0.2 | No | development
@@ -30,4 +31,4 @@
 | [loongsuite-instrumentation-vita](./loongsuite-instrumentation-vita) | vita >= 0.0.1 | No | development
 | [loongsuite-instrumentation-webarena](./loongsuite-instrumentation-webarena) | webarena >= 0.0.1 | No | development
 | [loongsuite-instrumentation-widesearch](./loongsuite-instrumentation-widesearch) | widesearch >= 0.1.0 | No | development
-| [loongsuite-instrumentation-wildtool](./loongsuite-instrumentation-wildtool) | openai >= 1.0.0 | No | development
\ No newline at end of file
+| [loongsuite-instrumentation-wildtool](./loongsuite-instrumentation-wildtool) | openai >= 1.0.0 | No | development
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/CHANGELOG.md b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/CHANGELOG.md
new file mode 100644
index 000000000..d2b284717
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/CHANGELOG.md
@@ -0,0 +1,52 @@
+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## Unreleased
+
+### Added
+
+- Align provider hooks and tests with the canonical
+  ``opentelemetry-instrumentation-google-genai==1.0b1`` baseline.
+- Support ``interactions.create`` and automatic function-call
+  ``execute_tool`` spans in addition to generation, streaming, and embeddings.
+- Retain LoongSuite ``ExtendedTelemetryHandler`` metrics, multimodal handling,
+  standard instrumentation suppression, reasoning-part capture, Python 3.9,
+  and completion-hook support through an isolated compatibility layer.
+- Document that the provider runs on LoongSuite's shared GenAI util, while
+  Robin adds ARMS metrics and private lower-level SDK suppression as a
+  commercial overlay.
+- Fix reusable-config mutation, stream-construction span leaks, Google async
+  stream closing, streaming TTFT, real Interactions SSE completion parsing,
+  and embedding raw-response state isolation found during the upstream delta
+  audit.
+- Add local opt-in real Gemini API tests and redacted VCR coverage for public
+  CI without provider credentials.
+- Apply the shared ``hook_advice`` fail-open contract to generation,
+  Interactions, embeddings, automatic tool calls, and sync/async streams so
+  probe failures cannot change SDK call count, results, chunks, cancellation,
+  ``GeneratorExit``, or original provider exceptions.
+- Detach streaming context before returning SDK streams, make finalization
+  idempotent across close/aclose/error/GC paths, and cover cross-Context and
+  one-fault-among-many isolation.
+- Keep OSS package metadata at Python 3.9 while avoiding Python 3.9/3.10-only
+  typing syntax so Robin can repackage the instrumentation wheel for its
+  Python 3.8 commercial install floor.
+
+### Fixed
+
+- Aggregate Google GenAI streaming deltas by candidate so
+  ``gen_ai.output.messages`` contains complete logical responses instead of
+  one message per SSE chunk.
+
+## Version 0.9.0.dev
+
+### Added
+
+- Add LoongSuite Google GenAI instrumentation backed by
+  `ExtendedTelemetryHandler`.
+- Cover sync/async generation, streaming, and embeddings with extended GenAI
+  attributes, metrics, multimodal messages, response identity, and TTFT.
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/README.rst b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/README.rst
new file mode 100644
index 000000000..7ab6ad716
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/README.rst
@@ -0,0 +1,105 @@
+LoongSuite Google GenAI SDK Instrumentation
+===========================================
+
+This package aligns with
+``opentelemetry-instrumentation-google-genai==1.0b1`` from the canonical
+``open-telemetry/opentelemetry-python-genai`` repository, but it does not use
+the upstream 1.x GenAI util at runtime. Provider hooks are adapted to
+LoongSuite's own ``opentelemetry-util-genai`` source package and
+``ExtendedTelemetryHandler``. LoongSuite release packaging renames that shared
+util to ``loongsuite-otel-util-genai`` and replaces the renamed community
+Google GenAI package with this implementation.
+
+Supported operations
+--------------------
+
+* synchronous and asynchronous ``generate_content``;
+* synchronous and asynchronous ``generate_content_stream``;
+* synchronous and asynchronous ``embed_content``;
+* synchronous and asynchronous ``interactions.create``, including streams;
+* SDK automatic function calling with nested ``execute_tool`` spans;
+* Gemini Developer API and Vertex AI provider identification;
+* text, reasoning, inline binary, URI, function-call, and function-response
+  message parts;
+* request parameters, tool definitions, response IDs/models, token usage,
+  finish reasons, streaming TTFT, and ``hook_advice`` fail-open error handling;
+* opt-in Google-specific request configuration attributes through
+  ``OTEL_GOOGLE_GENAI_GENERATE_CONTENT_CONFIG_INCLUDES`` and
+  ``OTEL_GOOGLE_GENAI_GENERATE_CONTENT_CONFIG_EXCLUDES``.
+
+The Interactions API is available in recent ``google-genai`` 2.x releases.
+Generation and embedding remain supported from ``google-genai`` 1.32 onward.
+Instrumentation-only failures are degraded to missing telemetry: the original
+SDK call or application tool executes once, and its return object, streamed
+chunks, cancellation, ``GeneratorExit``, and exception identity are preserved.
+
+Installation
+------------
+
+::
+
+    pip install loongsuite-instrumentation-google-genai google-genai
+
+Usage
+-----
+
+::
+
+    from google import genai
+    from opentelemetry.instrumentation.google_genai import (
+        GoogleGenAiSdkInstrumentor,
+    )
+
+    GoogleGenAiSdkInstrumentor().instrument()
+    client = genai.Client()
+    response = client.models.generate_content(
+        model="gemini-2.5-flash",
+        contents="Explain OpenTelemetry in one sentence.",
+    )
+
+Message content follows the shared GenAI util content-capture configuration.
+For example, use
+``OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT=SPAN_ONLY`` to record
+messages on spans.
+
+Metrics and commercial extensions
+---------------------------------
+
+Span lifecycle, standard ``gen_ai.client.*`` metrics, multimodal processing,
+and completion hooks are owned by LoongSuite's shared GenAI util rather than
+implemented again in this provider plugin.
+
+The Robin commercial package keeps the same provider hooks but supplies its
+commercial GenAI util underneath ``ExtendedTelemetryHandler``. That util adds
+ARMS metrics and other enterprise behavior. Robin also extends the
+provider-level suppression check to honor its private
+``_SUPPRESS_LLM_SDK_KEY`` so a high-level framework span can suppress only the
+nested Google GenAI SDK spans. The private key is intentionally not part of
+this OSS package.
+
+Upstream synchronization
+------------------------
+
+The upstream baseline and the intentionally retained LoongSuite delta are
+documented in ``UPSTREAM.md``. Provider hook files preserve the upstream
+layout, while ``_compat.py`` contains the removable adapter to LoongSuite's
+extended GenAI util.
+
+Live verification
+-----------------
+
+The regular test matrix does not require external credentials. To exercise the
+latest supported SDK against the real Gemini Developer API, provide your own
+restricted key through the environment and opt in explicitly:
+
+::
+
+    RUN_GOOGLE_GENAI_LIVE_TESTS=1 \
+      tox -c tox-loongsuite.ini \
+      -e py312-test-loongsuite-instrumentation-google-genai-latest \
+      -- -k live_google_genai
+
+The local-only live test reads ``GEMINI_API_KEY`` (or ``GOOGLE_API_KEY``) and
+uses ``gemini-3.5-flash-lite`` by default. Set the local
+``GOOGLE_GENAI_LIVE_MODEL`` environment variable to change the model. Public CI
+only replays redacted VCR cassettes and does not require provider credentials.
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/UPSTREAM.md b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/UPSTREAM.md
new file mode 100644
index 000000000..11a4a6697
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/UPSTREAM.md
@@ -0,0 +1,210 @@
+# Upstream synchronization
+
+This package follows the canonical Google GenAI instrumentation maintained in
+[`open-telemetry/opentelemetry-python-genai`](https://github.com/open-telemetry/opentelemetry-python-genai/tree/main/instrumentation/opentelemetry-instrumentation-google-genai).
+
+## Baseline
+
+- Package release: `opentelemetry-instrumentation-google-genai==1.0b1`
+- Repository tag:
+  `opentelemetry-instrumentation-google-genai==1.0b1`
+- Repository commit: `d168d3e6bd280ae131fd56f60a15b449626ab336`
+- Supported SDK range: `google-genai>=1.32,<3`
+- Upstream `main` snapshot audited after the tag:
+  `e83bf7df909abb5c2e069ec6480b942638389706`
+- OpenInference Google GenAI comparison snapshot:
+  `a1392c50d2d5b20fb805c195fb6006c80d5a6106`
+
+The provider hook modules keep the upstream file layout:
+
+- `allowlist_util.py`
+- `client_info.py`
+- `custom_semconv.py`
+- `dict_util.py`
+- `embeddings.py`
+- `generate_content.py`
+- `instrumentor.py`
+- `interactions.py`
+- `message.py`
+- `tool_call_wrapper.py`
+
+Upstream tests for generation, streaming, embeddings, interactions,
+configuration allowlists, finish reasons, and automatic function calls are
+reused in this package.
+
+## LoongSuite delta
+
+The intentional product delta is kept small and explicit:
+
+- `_compat.py` adapts the upstream invocation-oriented handler API to
+  LoongSuite's own `opentelemetry-util-genai` implementation and
+  `ExtendedTelemetryHandler`; the upstream 1.x GenAI util is not a runtime
+  dependency of this package.
+- `_stream.py` is the upstream GenAI stream lifecycle helper with Python 3.8
+  source compatibility and LoongSuite fail-open stream ownership.
+- provider source and tests avoid PEP 604 unions and PEP 585 built-in
+  generics. OSS metadata remains `requires-python >=3.9` because the supported
+  `google-genai>=1.32` SDK itself requires Python 3.9, while the source-level
+  compatibility lets Robin normalize the packaged instrumentation wheel to
+  its Python 3.8 commercial install floor without introducing import-time
+  syntax or annotation failures.
+- provider-owned prepare, response mapping, failure reporting, stream wrapping,
+  chunk accumulation, finalization, embeddings, and automatic tool telemetry
+  run through `hook_advice`; the Google SDK call, SDK stream iteration, and
+  application tool callback remain outside advice and execute exactly once.
+- standard OpenTelemetry suppression is honored without adding Robin's
+  commercial `_SUPPRESS_LLM_SDK_KEY`;
+- `execute_tool` remains an INTERNAL span through the extended handler;
+- Google thought parts map to the standard `Reasoning` message part;
+- upstream 1.0 event/content behavior is preserved while the repository still
+  ships the 0.x shared GenAI util;
+- LoongSuite completion hooks, metrics, and asynchronous multimodal processing
+  remain active.
+
+The audit also found lifecycle defects that are still present in the frozen
+release and the audited upstream `main` snapshot. They are kept as isolated
+provider fixes with regression tests:
+
+- tool wrapping copies `GenerateContentConfig` so a caller can safely reuse it;
+- an invalid configuration dictionary is passed through unchanged instead of
+  being replaced by an empty validated configuration;
+- synchronous and asynchronous stream-construction failures finish the
+  invocation instead of leaking its span/context;
+- async stream close supports the Google SDK's `aclose()` contract;
+- generation and Interactions streams record time to first token;
+- Interactions streaming accepts both the upstream test fixture's
+  `interaction_completed` event and the dotted `interaction.completed` event
+  emitted by the real Google GenAI 2.x API;
+- embedding raw-response state is reset with a `ContextVar` token even when a
+  request fails;
+- explicit `OTEL_INSTRUMENTATION_GENAI_EMIT_EVENT=false` is preserved.
+- probe failures cannot replace a Google SDK result, yielded chunk, application
+  tool result, cancellation, `GeneratorExit`, or original provider exception;
+- stream context is detached before returning the stream, finalization is
+  idempotent, and cross-thread/cross-Context consumption does not reuse the
+  creation token;
+- MCP tool metadata collection does not call application callbacks before the
+  real provider request.
+
+The upstream and OpenInference comparisons both provide useful partial
+isolation, but neither snapshot satisfies this complete contract.
+OpenInference protects many span mutation/finalization calls and falls back to
+the raw stream when wrapper construction fails, while its request extraction
+and stream chunk accumulator can still fail before or during business
+delivery. The canonical upstream snapshot still mixes response mapping and
+`invocation.stop()`/`fail()` with the provider-call `try` block. LoongSuite
+keeps this lifecycle delta until an equivalent provider-neutral contract lands
+upstream.
+
+Package metadata, release naming, bootstrap registration, local live tests,
+and sanitized VCR cassettes are LoongSuite-owned.
+
+## OSS and Robin runtime boundary
+
+The provider hooks have one lifecycle path in both distributions:
+
+1. Google GenAI wrappers create the upstream-shaped invocation facade in
+   `_compat.py`.
+2. The facade delegates start, stop, failure, embedding, and tool lifecycle to
+   LoongSuite's `ExtendedTelemetryHandler`.
+3. The installed implementation of the shared GenAI util determines the
+   telemetry extensions.
+
+In OSS, the source dependency is named `opentelemetry-util-genai`. LoongSuite
+release tooling publishes that source as `loongsuite-otel-util-genai` and
+rewrites package dependencies without changing the
+`opentelemetry.util.genai` import namespace. The shared util owns standard
+`gen_ai.client.*` metrics, content capture, completion hooks, and multimodal
+processing.
+
+After synchronization into Robin, the same imports resolve to Robin's
+commercial GenAI util. Its `EnterpriseInvocationMetricsRecorder` adds ARMS
+metrics through `ExtendedTelemetryHandler`; the Google provider plugin must not
+duplicate those instruments locally.
+
+Robin also carries `_SUPPRESS_LLM_SDK_KEY` as a narrow provider overlay:
+
+- the high-level framework handler creates its own AGENT, LLM, and TOOL spans
+  and scopes the key around downstream SDK execution;
+- Robin's Google GenAI `_compat._is_suppressed()` checks that private key in
+  addition to standard OpenTelemetry suppression;
+- suppressed SDK invocations create no Google provider LLM, EMBEDDING, or TOOL
+  spans;
+- context restoration is verified for success, failure, cancellation, and
+  stream close so a later direct Google SDK call remains instrumented.
+
+The private key must not be added to the OSS util or made a condition inside
+the shared handler's `start_llm()`: high-level framework handlers use that same
+method and must continue to create their own spans.
+
+## Updating the baseline
+
+For each upstream release:
+
+1. Freeze the release tag and commit in this file.
+2. Diff the provider hook modules and upstream tests against the frozen
+   baseline.
+3. Import upstream changes without mixing in framework instrumentation such as
+   Google ADK.
+4. Reapply only the imports that route invocation, handler, stream, and
+   compatibility types through `_compat.py` and `_stream.py`.
+5. Compare the new release with upstream `main` so unreleased fixes are tracked
+   separately from LoongSuite extensions.
+6. Run oldest/latest SDK tests, sanitized VCR replay, real Gemini SDK tests,
+   Weaver validation, and ARMS/CMS readback before updating the pull request.
+
+Once LoongSuite's shared GenAI util adopts the upstream 1.x invocation API,
+`_compat.py` should be removed and the provider modules should return to exact
+upstream imports.
+
+## Changes already on upstream main
+
+Do not carry these as independent LoongSuite patches. They landed upstream
+after `1.0b1` and should be consumed with the next upstream release:
+
+- interactions response ID
+  ([upstream #233](https://github.com/open-telemetry/opentelemetry-python-genai/pull/233));
+- interactions tool definitions and response parsing fixes
+  ([upstream #271](https://github.com/open-telemetry/opentelemetry-python-genai/pull/271));
+- INTERNAL span kind for `execute_tool`
+  ([upstream #274](https://github.com/open-telemetry/opentelemetry-python-genai/pull/274));
+- reasoning tokens included in the output-token count
+  ([upstream #283](https://github.com/open-telemetry/opentelemetry-python-genai/pull/283));
+- Google API error-code based `error.type`
+  ([upstream #304](https://github.com/open-telemetry/opentelemetry-python-genai/pull/304)).
+
+## Upstream contribution candidates
+
+The following deltas are provider-independent or useful to other
+instrumentation consumers and should be proposed upstream as small,
+independent changes:
+
+1. Map Google `Part(thought=True)` to the standard `Reasoning` message part
+   instead of `Text`, with sync, async, and stream tests.
+2. Honor OpenTelemetry's standard instrumentation suppression context in the
+   invocation/handler path.
+3. Respect an explicitly configured
+   `OTEL_INSTRUMENTATION_GENAI_EMIT_EVENT` value instead of unconditionally
+   overwriting it during Google GenAI instrumentation.
+4. Make tool wrapping non-mutating and preserve invalid configuration
+   pass-through semantics.
+5. Finalize invocations when sync or async stream construction raises.
+6. Support SDK streams that expose `aclose()` and record TTFT on the first
+   generation or Interactions stream item.
+7. Parse the real Interactions SSE `interaction.completed` event while
+   retaining compatibility with the underscore spelling used by existing
+   fixtures.
+8. Isolate the embedding raw-response `ContextVar` across failed and nested
+   requests.
+9. Discuss a supported handler/invocation factory injection point so vendors
+   can add completion hooks, upload handling, or extra metrics without copying
+   provider hooks. This needs an upstream design issue before a code change.
+10. Contribute provider-neutral fail-open lifecycle patches in small steps:
+    keep the provider call outside telemetry advice, return raw streams when
+    wrapping fails, isolate chunk/final callbacks, detach stream context before
+    ownership transfer, and preserve cancellation/exception identity.
+
+Python 3.8 source compatibility, the 0.x-to-1.x compatibility facade,
+LoongSuite-specific metrics and asynchronous multimodal processing,
+release/bootstrap integration, and Robin's `_SUPPRESS_LLM_SDK_KEY` are product
+or compatibility concerns and are not direct upstream contribution candidates.
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/examples/google_genai_genai_smoke.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/examples/google_genai_genai_smoke.py
new file mode 100644
index 000000000..c92ac0ef1
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/examples/google_genai_genai_smoke.py
@@ -0,0 +1,28 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from google import genai
+
+from opentelemetry.instrumentation.google_genai import (
+    GoogleGenAiSdkInstrumentor,
+)
+
+GoogleGenAiSdkInstrumentor().instrument()
+client = genai.Client()
+
+for chunk in client.models.generate_content_stream(
+    model="gemini-2.5-flash",
+    contents="Explain distributed tracing in three short bullets.",
+):
+    print(chunk.text, end="")
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/pyproject.toml b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/pyproject.toml
new file mode 100644
index 000000000..e0554197c
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/pyproject.toml
@@ -0,0 +1,54 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "loongsuite-instrumentation-google-genai"
+dynamic = ["version"]
+description = "LoongSuite Google GenAI SDK instrumentation"
+supports_metrics = true
+readme = "README.rst"
+license = "Apache-2.0"
+requires-python = ">=3.9"
+authors = [
+  { name = "OpenTelemetry Authors", email = "cncf-opentelemetry-contributors@lists.cncf.io" },
+]
+classifiers = [
+  "Development Status :: 4 - Beta",
+  "Intended Audience :: Developers",
+  "License :: OSI Approved :: Apache Software License",
+  "Programming Language :: Python",
+  "Programming Language :: Python :: 3",
+  "Programming Language :: Python :: 3.9",
+  "Programming Language :: Python :: 3.10",
+  "Programming Language :: Python :: 3.11",
+  "Programming Language :: Python :: 3.12",
+  "Programming Language :: Python :: 3.13",
+]
+dependencies = [
+  "opentelemetry-api >= 1.37.0",
+  "opentelemetry-instrumentation >= 0.58b0",
+  "opentelemetry-semantic-conventions >= 0.58b0",
+  "opentelemetry-util-genai",
+  "wrapt >= 1.17.0, < 3.0.0",
+]
+
+[project.optional-dependencies]
+instruments = ["google-genai >= 1.32.0, < 3"]
+
+[project.entry-points.opentelemetry_instrumentor]
+google-genai = "opentelemetry.instrumentation.google_genai:GoogleGenAiSdkInstrumentor"
+
+[project.urls]
+Homepage = "https://github.com/alibaba/loongsuite-python/tree/main/instrumentation-loongsuite/loongsuite-instrumentation-google-genai"
+Repository = "https://github.com/alibaba/loongsuite-python"
+Upstream = "https://github.com/open-telemetry/opentelemetry-python-genai/tree/main/instrumentation/opentelemetry-instrumentation-google-genai"
+
+[tool.hatch.version]
+path = "src/opentelemetry/instrumentation/google_genai/version.py"
+
+[tool.hatch.build.targets.sdist]
+include = ["/examples", "/src", "/tests"]
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/opentelemetry"]
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/__init__.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/__init__.py
new file mode 100644
index 000000000..58ca8e37a
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/__init__.py
@@ -0,0 +1,55 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+"""
+Google Gen AI SDK client instrumentation supporting the `google-genai` package.
+
+It can be enabled using ``GoogleGenAiSdkInstrumentor``.
+
+.. _google-genai: https://pypi.org/project/google-genai/
+
+Usage
+-----
+
+.. code:: python
+
+    import os
+    import google.genai
+    from opentelemetry.instrumentation.google_genai import GoogleGenAiSdkInstrumentor
+
+    GoogleGenAiSdkInstrumentor().instrument()
+    model = os.getenv('MODEL', 'gemini-2.0-flash-001')
+    client = google.genai.Client()
+    response = client.models.generate_content(
+        model=model,
+        contents='why is the sky blue?'
+    )
+    print(response.text)
+
+API
+---
+"""
+
+from .generate_content import GENERATE_CONTENT_EXTRA_ATTRIBUTES_CONTEXT_KEY
+from .instrumentor import GoogleGenAiSdkInstrumentor
+from .version import __version__
+
+__all__ = [
+    "GoogleGenAiSdkInstrumentor",
+    "GENERATE_CONTENT_EXTRA_ATTRIBUTES_CONTEXT_KEY",
+    "__version__",
+]
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/_compat.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/_compat.py
new file mode 100644
index 000000000..ef5e76e1f
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/_compat.py
@@ -0,0 +1,612 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Bridge the upstream GenAI 1.0 invocation API to LoongSuite extensions.
+
+The canonical Google GenAI instrumentation uses the invocation-oriented API
+introduced by ``opentelemetry-util-genai`` 1.0. LoongSuite still exposes the
+older lifecycle API plus ``ExtendedTelemetryHandler``. Keeping that impedance
+match in this module lets the provider instrumentation stay close to upstream
+and makes this bridge removable after the shared util migrates to 1.x.
+"""
+
+from __future__ import annotations
+
+import logging
+import os
+import timeit
+from dataclasses import asdict, dataclass
+from types import TracebackType
+from typing import Any, Dict, List, Optional, Type, Union
+
+from opentelemetry import context as context_api
+from opentelemetry._logs import LogRecord, get_logger
+from opentelemetry.context import _SUPPRESS_INSTRUMENTATION_KEY
+from opentelemetry.trace import set_span_in_context
+from opentelemetry.util.genai.completion_hook import (
+    CompletionHook,
+    load_completion_hook,
+)
+from opentelemetry.util.genai.extended_handler import (
+    ExtendedTelemetryHandler,
+)
+from opentelemetry.util.genai.extended_types import (
+    EmbeddingInvocation as LegacyEmbeddingInvocation,
+)
+from opentelemetry.util.genai.extended_types import (
+    ExecuteToolInvocation as LegacyToolInvocation,
+)
+from opentelemetry.util.genai.handler import _safe_detach
+from opentelemetry.util.genai.span_utils import (
+    _get_llm_common_attributes,
+    _get_llm_request_attributes,
+    _get_llm_response_attributes,
+)
+from opentelemetry.util.genai.types import (
+    ContentCapturingMode,
+    Error,
+    LLMInvocation,
+)
+from opentelemetry.util.genai.utils import (
+    gen_ai_json_dumps,
+    should_emit_event,
+)
+
+_logger = logging.getLogger(__name__)
+_REASONING_OUTPUT_TOKENS = "gen_ai.usage.reasoning.output_tokens"
+_FINISH_REASONS = "gen_ai.response.finish_reasons"
+_INPUT_MESSAGES = "gen_ai.input.messages"
+_OUTPUT_MESSAGES = "gen_ai.output.messages"
+_SYSTEM_INSTRUCTIONS = "gen_ai.system_instructions"
+_TOOL_DEFINITIONS = "gen_ai.tool.definitions"
+
+
+def _is_suppressed() -> bool:
+    # OSS honors only the standard OpenTelemetry suppression contract. Robin
+    # extends this provider-level check with its private
+    # _SUPPRESS_LLM_SDK_KEY after synchronization. Keep that check here rather
+    # than in ExtendedTelemetryHandler.start_llm(): high-level framework
+    # instrumentations use the same handler and must retain their own spans.
+    return bool(context_api.get_value(_SUPPRESS_INSTRUMENTATION_KEY))
+
+
+def _capture_mode() -> ContentCapturingMode:
+    configured = os.environ.get(
+        "OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT"
+    )
+    if not configured:
+        return ContentCapturingMode.NO_CONTENT
+    try:
+        return ContentCapturingMode[configured.upper()]
+    except KeyError:
+        return ContentCapturingMode.NO_CONTENT
+
+
+def _captures_content() -> bool:
+    return _capture_mode() is not ContentCapturingMode.NO_CONTENT
+
+
+def _captures_content_on_span() -> bool:
+    return _capture_mode() in (
+        ContentCapturingMode.SPAN_ONLY,
+        ContentCapturingMode.SPAN_AND_EVENT,
+    )
+
+
+@dataclass
+class GenericPart:
+    """Provider-specific message part used by the upstream interactions parser."""
+
+    value: Any
+    type: str = "generic"
+
+
+class _InvocationLifecycle:
+    _finished: bool
+
+    def __enter__(self):
+        return self
+
+    def __exit__(
+        self,
+        exc_type: Optional[Type[BaseException]],
+        exc_value: Optional[BaseException],
+        traceback: Optional[TracebackType],
+    ) -> None:
+        if exc_value is not None:
+            self.fail(exc_value)
+        else:
+            self.stop()
+
+
+class InferenceInvocation(LLMInvocation, _InvocationLifecycle):
+    """Upstream-style inference invocation backed by the extended handler."""
+
+    def __init__(
+        self,
+        owner: TelemetryHandler,
+        provider: str,
+        *,
+        request_model: Optional[str] = None,
+        server_address: Optional[str] = None,
+        server_port: Optional[int] = None,
+        operation_name: Optional[str] = None,
+        **_: Any,
+    ) -> None:
+        super().__init__(
+            request_model=request_model,
+            provider=provider,
+            operation_name=operation_name or "chat",
+            server_address=server_address,
+            server_port=server_port,
+        )
+        self._owner = owner
+        self._finished = False
+        self.thinking_tokens: Optional[int] = None
+        if not _is_suppressed():
+            owner._handler.start_llm(self)
+
+    @property
+    def request_choice_count(self) -> Optional[int]:
+        return self.choice_count
+
+    @request_choice_count.setter
+    def request_choice_count(self, value: Optional[int]) -> None:
+        self.choice_count = value
+
+    @property
+    def cache_creation_input_tokens(self) -> Optional[int]:
+        return self.usage_cache_creation_input_tokens
+
+    @cache_creation_input_tokens.setter
+    def cache_creation_input_tokens(self, value: Optional[int]) -> None:
+        self.usage_cache_creation_input_tokens = value
+
+    @property
+    def cache_read_input_tokens(self) -> Optional[int]:
+        return self.usage_cache_read_input_tokens
+
+    @cache_read_input_tokens.setter
+    def cache_read_input_tokens(self, value: Optional[int]) -> None:
+        self.usage_cache_read_input_tokens = value
+
+    def record_first_token(self) -> None:
+        if self.monotonic_first_token_s is None:
+            self.monotonic_first_token_s = timeit.default_timer()
+
+    def _finish_reasons(self) -> List[str]:
+        if self.finish_reasons is not None:
+            return self.finish_reasons
+        return [
+            message.finish_reason
+            for message in self.output_messages
+            if message.finish_reason
+        ]
+
+    def _prepare_finish(
+        self, error: Optional[Union[Error, BaseException]] = None
+    ) -> None:
+        custom_attributes = dict(self.attributes)
+        if self.thinking_tokens is not None:
+            self.attributes[_REASONING_OUTPUT_TOKENS] = self.thinking_tokens
+            self.output_tokens = (
+                self.output_tokens or 0
+            ) + self.thinking_tokens
+        if finish_reasons := self._finish_reasons():
+            self.attributes[_FINISH_REASONS] = finish_reasons
+        if self.tool_definitions:
+            self.attributes[_TOOL_DEFINITIONS] = gen_ai_json_dumps(
+                [asdict(tool) for tool in self.tool_definitions]
+            )
+        if _captures_content_on_span():
+            message_attributes = (
+                (_INPUT_MESSAGES, self.input_messages),
+                (_OUTPUT_MESSAGES, self.output_messages),
+                (_SYSTEM_INSTRUCTIONS, self.system_instruction),
+            )
+            for key, messages in message_attributes:
+                if messages:
+                    self.attributes[key] = gen_ai_json_dumps(
+                        [asdict(message) for message in messages]
+                    )
+        log_record = self._owner._create_event(
+            self,
+            custom_attributes=custom_attributes,
+            error=error,
+        )
+        self._owner._notify_completion(self, log_record=log_record)
+        if log_record is not None:
+            self._owner._logger.emit(log_record)
+
+    def stop(self) -> None:
+        if self._finished:
+            return
+        self._finished = True
+        if self.span is None:
+            return
+        try:
+            self._prepare_finish()
+        finally:
+            self._owner._handler.stop_llm(self)
+
+    def fail(self, error: Union[Error, BaseException]) -> None:
+        if self._finished:
+            return
+        self._finished = True
+        if self.span is None:
+            return
+        converted_error: Optional[Error] = None
+        try:
+            converted_error = (
+                error
+                if isinstance(error, Error)
+                else Error(message=str(error), type=type(error))
+            )
+            self._prepare_finish(converted_error)
+        finally:
+            if converted_error is None:
+                self._owner._handler.abandon_llm(self)
+            else:
+                self._owner._handler.fail_llm(self, converted_error)
+
+
+class EmbeddingInvocation(LegacyEmbeddingInvocation, _InvocationLifecycle):
+    """Upstream-style embedding invocation backed by the extended handler."""
+
+    def __init__(
+        self,
+        owner: TelemetryHandler,
+        provider: str,
+        *,
+        request_model: Optional[str] = None,
+        server_address: Optional[str] = None,
+        server_port: Optional[int] = None,
+    ) -> None:
+        super().__init__(
+            request_model=request_model or "",
+            provider=provider,
+            server_address=server_address,
+            server_port=server_port,
+        )
+        self._owner = owner
+        self._finished = False
+        self.metric_attributes: Dict[str, Any] = {}
+        if not _is_suppressed():
+            try:
+                owner._handler.start_embedding(self)
+            except Exception:
+                owner.abandon_embedding(self)
+                raise
+
+    def stop(self) -> None:
+        if self._finished:
+            return
+        self._finished = True
+        if self.span is not None:
+            self._owner._finish_embedding(self)
+
+    def fail(self, error: Union[Error, BaseException]) -> None:
+        if self._finished:
+            return
+        self._finished = True
+        if self.span is None:
+            return
+        converted_error: Optional[Error] = None
+        try:
+            converted_error = (
+                error
+                if isinstance(error, Error)
+                else Error(message=str(error), type=type(error))
+            )
+        finally:
+            if converted_error is None:
+                self._owner.abandon_embedding(self)
+            else:
+                self._owner._fail_embedding(self, converted_error)
+
+
+class ToolInvocation(LegacyToolInvocation, _InvocationLifecycle):
+    """Upstream-style tool invocation backed by the extended handler."""
+
+    def __init__(
+        self,
+        owner: TelemetryHandler,
+        name: str,
+        *,
+        tool_call_id: Optional[str] = None,
+        tool_type: Optional[str] = None,
+        tool_description: Optional[str] = None,
+    ) -> None:
+        super().__init__(
+            tool_name=name,
+            tool_call_id=tool_call_id,
+            tool_type=tool_type,
+            tool_description=tool_description,
+        )
+        self._owner = owner
+        self._finished = False
+        self.should_capture_content_on_span = _captures_content_on_span()
+        self.metric_attributes: Dict[str, Any] = {}
+        if not _is_suppressed():
+            try:
+                owner._handler.start_execute_tool(self)
+            except Exception:
+                owner.abandon_tool(self)
+                raise
+
+    @property
+    def arguments(self) -> Any:
+        return self.tool_call_arguments
+
+    @arguments.setter
+    def arguments(self, value: Any) -> None:
+        self.tool_call_arguments = value
+
+    @property
+    def tool_result(self) -> Any:
+        return self.tool_call_result
+
+    @tool_result.setter
+    def tool_result(self, value: Any) -> None:
+        self.tool_call_result = value
+
+    def stop(self) -> None:
+        if self._finished:
+            return
+        self._finished = True
+        if self.span is not None:
+            self._owner._finish_tool(self)
+
+    def fail(self, error: Union[Error, BaseException]) -> None:
+        if self._finished:
+            return
+        self._finished = True
+        if self.span is None:
+            return
+        converted_error: Optional[Error] = None
+        try:
+            converted_error = (
+                error
+                if isinstance(error, Error)
+                else Error(message=str(error), type=type(error))
+            )
+        finally:
+            if converted_error is None:
+                self._owner.abandon_tool(self)
+            else:
+                self._owner._fail_tool(self, converted_error)
+
+
+class TelemetryHandler:
+    """Small 1.0-compatible facade over ``ExtendedTelemetryHandler``."""
+
+    def __init__(
+        self,
+        *,
+        tracer_provider=None,
+        meter_provider=None,
+        logger_provider=None,
+        completion_hook: Optional[CompletionHook] = None,
+    ) -> None:
+        self._handler = ExtendedTelemetryHandler(
+            tracer_provider=tracer_provider,
+            meter_provider=meter_provider,
+            logger_provider=logger_provider,
+        )
+        # LoongSuite 0.x util emits a legacy event shape. This facade owns the
+        # upstream 1.0 event so only one operation-details event is produced.
+        self._handler._logger = None  # pylint: disable=protected-access
+        self._logger = get_logger(
+            __name__,
+            logger_provider=logger_provider,
+        )
+        self._completion_hook = completion_hook or load_completion_hook()
+
+    def inference(
+        self,
+        provider: str,
+        *,
+        request_model: Optional[str] = None,
+        server_address: Optional[str] = None,
+        server_port: Optional[int] = None,
+        operation_name: Optional[str] = None,
+        **kwargs: Any,
+    ) -> InferenceInvocation:
+        return InferenceInvocation(
+            self,
+            provider,
+            request_model=request_model,
+            server_address=server_address,
+            server_port=server_port,
+            operation_name=operation_name,
+            **kwargs,
+        )
+
+    def embedding(
+        self,
+        provider: str,
+        *,
+        request_model: Optional[str] = None,
+        server_address: Optional[str] = None,
+        server_port: Optional[int] = None,
+    ) -> EmbeddingInvocation:
+        return EmbeddingInvocation(
+            self,
+            provider,
+            request_model=request_model,
+            server_address=server_address,
+            server_port=server_port,
+        )
+
+    def tool(
+        self,
+        name: str,
+        *,
+        tool_call_id: Optional[str] = None,
+        tool_type: Optional[str] = None,
+        tool_description: Optional[str] = None,
+    ) -> ToolInvocation:
+        return ToolInvocation(
+            self,
+            name,
+            tool_call_id=tool_call_id,
+            tool_type=tool_type,
+            tool_description=tool_description,
+        )
+
+    def should_capture_content(self) -> bool:
+        return _captures_content()
+
+    def detach_inference_context(
+        self, invocation: InferenceInvocation
+    ) -> None:
+        self._handler.detach_llm_context(invocation)
+
+    def abandon_inference(self, invocation: InferenceInvocation) -> None:
+        self._handler.abandon_llm(invocation)
+
+    def abandon_embedding(self, invocation: EmbeddingInvocation) -> None:
+        self._abandon_extended(invocation)
+
+    def abandon_tool(self, invocation: ToolInvocation) -> None:
+        self._abandon_extended(invocation)
+
+    @staticmethod
+    def _abandon_extended(invocation: Any) -> None:
+        token = invocation.context_token
+        invocation.context_token = None
+        try:
+            _safe_detach(token)
+        finally:
+            span = invocation.span
+            if span is not None and span.is_recording():
+                span.end()
+
+    def _finish_embedding(self, invocation: EmbeddingInvocation) -> None:
+        self._finalize_extended(
+            invocation,
+            self._handler.stop_embedding,
+        )
+
+    def _fail_embedding(
+        self, invocation: EmbeddingInvocation, error: Error
+    ) -> None:
+        self._finalize_extended(
+            invocation,
+            lambda current: self._handler.fail_embedding(current, error),
+        )
+
+    def _finish_tool(self, invocation: ToolInvocation) -> None:
+        self._finalize_extended(
+            invocation,
+            self._handler.stop_execute_tool,
+        )
+
+    def _fail_tool(self, invocation: ToolInvocation, error: Error) -> None:
+        self._finalize_extended(
+            invocation,
+            lambda current: self._handler.fail_execute_tool(current, error),
+        )
+
+    @staticmethod
+    def _finalize_extended(invocation: Any, callback: Any) -> None:
+        completed = False
+        token = invocation.context_token
+        try:
+            callback(invocation)
+            completed = True
+        finally:
+            invocation.context_token = None
+            if not completed:
+                _safe_detach(token)
+            span = invocation.span
+            if span is not None and span.is_recording():
+                span.end()
+
+    def _create_event(
+        self,
+        invocation: InferenceInvocation,
+        *,
+        custom_attributes: Dict[str, Any],
+        error: Optional[Union[Error, BaseException]],
+    ) -> Optional[LogRecord]:
+        if not should_emit_event():
+            return None
+        attributes: Dict[str, Any] = {}
+        attributes.update(_get_llm_common_attributes(invocation))
+        attributes.update(_get_llm_request_attributes(invocation))
+        attributes.update(_get_llm_response_attributes(invocation))
+        attributes.update(custom_attributes)
+        if invocation.thinking_tokens is not None:
+            attributes[_REASONING_OUTPUT_TOKENS] = invocation.thinking_tokens
+        if finish_reasons := invocation._finish_reasons():
+            attributes[_FINISH_REASONS] = finish_reasons
+        if invocation.tool_definitions:
+            attributes[_TOOL_DEFINITIONS] = [
+                asdict(tool) for tool in invocation.tool_definitions
+            ]
+        if _capture_mode() in (
+            ContentCapturingMode.EVENT_ONLY,
+            ContentCapturingMode.SPAN_AND_EVENT,
+        ):
+            message_attributes = (
+                (_INPUT_MESSAGES, invocation.input_messages),
+                (_OUTPUT_MESSAGES, invocation.output_messages),
+                (_SYSTEM_INSTRUCTIONS, invocation.system_instruction),
+            )
+            for key, messages in message_attributes:
+                if messages:
+                    attributes[key] = [asdict(message) for message in messages]
+        if error is not None:
+            error_type = (
+                error.type if isinstance(error, Error) else type(error)
+            )
+            attributes["error.type"] = error_type.__qualname__
+        return LogRecord(
+            event_name="gen_ai.client.inference.operation.details",
+            attributes=attributes,
+            context=set_span_in_context(invocation.span),
+        )
+
+    def _notify_completion(
+        self,
+        invocation: InferenceInvocation,
+        *,
+        log_record: Optional[LogRecord],
+    ) -> None:
+        if invocation.span is None:
+            return
+        try:
+            self._completion_hook.on_completion(
+                inputs=invocation.input_messages,
+                outputs=invocation.output_messages,
+                system_instruction=invocation.system_instruction,
+                tool_definitions=invocation.tool_definitions,
+                span=invocation.span,
+                log_record=log_record,
+            )
+        except Exception:
+            _logger.debug(
+                "Google GenAI completion hook failed",
+                exc_info=True,
+            )
+
+
+__all__ = [
+    "EmbeddingInvocation",
+    "GenericPart",
+    "InferenceInvocation",
+    "TelemetryHandler",
+    "ToolInvocation",
+]
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/_stream.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/_stream.py
new file mode 100644
index 000000000..f4435e8dc
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/_stream.py
@@ -0,0 +1,331 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+import logging
+from abc import ABCMeta, abstractmethod
+from inspect import isawaitable
+from threading import Lock
+from types import TracebackType
+from typing import (
+    TYPE_CHECKING,
+    AsyncIterable,
+    Generic,
+    Iterable,
+    Literal,
+    Optional,
+    Protocol,
+    Type,
+    TypeVar,
+)
+
+from opentelemetry.util.genai import hook_advice
+
+if TYPE_CHECKING:
+
+    class _ObjectProxy:
+        def __init__(self, wrapped: object) -> None: ...
+
+else:
+    from wrapt import ObjectProxy as _ObjectProxy
+
+
+ChunkT = TypeVar("ChunkT")
+_ChunkT_co = TypeVar("_ChunkT_co", covariant=True)
+_logger = logging.getLogger(__name__)
+
+
+@hook_advice("google-genai", "stream_chunk")
+def _process_stream_chunk_advice(wrapper: object, chunk: object) -> None:
+    wrapper._process_chunk(chunk)  # type: ignore[attr-defined]
+
+
+@hook_advice("google-genai", "stream_success")
+def _finish_stream_success_advice(wrapper: object) -> None:
+    wrapper._on_stream_end()  # type: ignore[attr-defined]
+
+
+@hook_advice("google-genai", "stream_error")
+def _finish_stream_error_advice(wrapper: object, error: BaseException) -> None:
+    wrapper._on_stream_error(error)  # type: ignore[attr-defined]
+
+
+class _StreamWrapperMeta(ABCMeta, type(_ObjectProxy)):
+    """Metaclass compatible with wrapt's proxy type and ABC hooks."""
+
+
+class _SyncStream(Iterable[_ChunkT_co], Protocol[_ChunkT_co]):
+    """Structural type for streams accepted by ``SyncStreamWrapper``."""
+
+    def close(self) -> None: ...
+
+
+class _AsyncStream(AsyncIterable[_ChunkT_co], Protocol[_ChunkT_co]):
+    """Structural type for streams accepted by ``AsyncStreamWrapper``."""
+
+
+class SyncStreamWrapper(
+    _ObjectProxy,
+    Generic[ChunkT],
+    metaclass=_StreamWrapperMeta,
+):
+    """Base class for synchronous instrumented stream wrappers.
+
+    Subclass this when wrapping a provider SDK stream that is consumed with
+    normal iteration. The subclass should pass the SDK stream to
+    ``super().__init__(stream)`` and implement the three telemetry hooks:
+    ``_process_chunk`` for per-chunk state, ``_on_stream_end`` for successful
+    finalization, and ``_on_stream_error`` for failure finalization.
+
+    Users should consume subclasses as normal streams, for example with
+    ``for chunk in wrapper`` or ``with wrapper``. The hook methods are called
+    internally by the wrapper lifecycle and are not part of the public API.
+    """
+
+    def __init__(self, stream: _SyncStream[ChunkT]):
+        super().__init__(stream)
+        self._self_stream = stream
+        self._self_iterator = iter(stream)
+        self._self_finalized = False
+        self._self_finalize_lock = Lock()
+
+    def __enter__(self):
+        return self
+
+    def __exit__(
+        self,
+        exc_type: Optional[Type[BaseException]],
+        exc_val: Optional[BaseException],
+        exc_tb: Optional[TracebackType],
+    ) -> Literal[False]:
+        if exc_val is not None:
+            self._finalize_failure(exc_val)
+            try:
+                self._self_stream.close()
+            except Exception:  # pylint: disable=broad-exception-caught
+                _logger.debug(
+                    "GenAI stream close error after user exception",
+                    exc_info=True,
+                )
+            return False
+
+        self.close()
+        return False
+
+    def close(self) -> None:
+        try:
+            self._self_stream.close()
+        except Exception:
+            _logger.debug(
+                "Google GenAI stream close failed",
+                exc_info=True,
+            )
+        self._finalize_success()
+
+    def __iter__(self):
+        # Override ``ObjectProxy.__iter__`` so iteration drives ``__next__``
+        # below and runs ``_process_chunk`` per chunk; otherwise iteration
+        # would be forwarded to the wrapped stream and bypass instrumentation.
+        return self
+
+    def __next__(self) -> ChunkT:
+        try:
+            chunk = next(self._self_iterator)
+        except StopIteration:
+            self._finalize_success()
+            raise
+        except GeneratorExit:
+            self._finalize_success()
+            raise
+        except BaseException as error:
+            self._finalize_failure(error)
+            raise
+        _process_stream_chunk_advice(self, chunk)
+        return chunk
+
+    def _finalize_success(self) -> None:
+        with self._self_finalize_lock:
+            if self._self_finalized:
+                return
+            self._self_finalized = True
+        _finish_stream_success_advice(self)
+
+    def _finalize_failure(self, error: BaseException) -> None:
+        with self._self_finalize_lock:
+            if self._self_finalized:
+                return
+            self._self_finalized = True
+        _finish_stream_error_advice(self, error)
+
+    def __del__(self) -> None:
+        if getattr(self, "_self_finalized", True):
+            return
+        try:
+            self._finalize_success()
+        except Exception:
+            pass
+
+    @abstractmethod
+    def _process_chunk(self, chunk: ChunkT) -> None:
+        """Process one stream chunk for telemetry."""
+
+    @abstractmethod
+    def _on_stream_end(self) -> None:
+        """Finalize the stream successfully."""
+
+    @abstractmethod
+    def _on_stream_error(self, error: BaseException) -> None:
+        """Finalize the stream with failure."""
+
+
+class AsyncStreamWrapper(
+    _ObjectProxy,
+    Generic[ChunkT],
+    metaclass=_StreamWrapperMeta,
+):
+    """Base class for asynchronous instrumented stream wrappers.
+
+    Subclass this when wrapping a provider SDK stream that is consumed with
+    async iteration. The subclass should pass the SDK stream to
+    ``super().__init__(stream)`` and implement the three telemetry hooks:
+    ``_process_chunk`` for per-chunk state, ``_on_stream_end`` for successful
+    finalization, and ``_on_stream_error`` for failure finalization.
+
+    Users should consume subclasses as normal async streams, for example with
+    ``async for chunk in wrapper`` or ``async with wrapper``. The hook methods
+    remain synchronous telemetry hooks; async stream reads and close handling
+    are owned by this base class.
+    """
+
+    def __init__(self, stream: _AsyncStream[ChunkT]):
+        super().__init__(stream)
+        self._self_stream = stream
+        # LoongSuite supports Python 3.9, where aiter/anext are unavailable.
+        self._self_aiter = stream.__aiter__()
+        self._self_finalized = False
+        self._self_finalize_lock = Lock()
+
+    async def __aenter__(self):
+        return self
+
+    async def __aexit__(
+        self,
+        exc_type: Optional[Type[BaseException]],
+        exc_val: Optional[BaseException],
+        exc_tb: Optional[TracebackType],
+    ) -> Literal[False]:
+        if exc_val is not None:
+            self._finalize_failure(exc_val)
+            try:
+                await self._close_wrapped_stream()
+            except Exception:  # pylint: disable=broad-exception-caught
+                _logger.debug(
+                    "GenAI stream close error after user exception",
+                    exc_info=True,
+                )
+            return False
+
+        await self.close()
+        return False
+
+    async def close(self) -> None:
+        try:
+            await self._close_wrapped_stream()
+        except Exception:
+            _logger.debug(
+                "Google GenAI async stream close failed",
+                exc_info=True,
+            )
+        self._finalize_success()
+
+    async def aclose(self) -> None:
+        """Close SDKs such as Google GenAI that expose ``aclose``."""
+
+        await self.close()
+
+    async def _close_wrapped_stream(self) -> None:
+        close = getattr(self._self_stream, "aclose", None)
+        if close is None:
+            close = getattr(self._self_stream, "close", None)
+        if close is None:
+            return
+        result = close()
+        if isawaitable(result):
+            await result
+
+    def __aiter__(self):
+        # Override ``ObjectProxy.__aiter__`` so iteration drives ``__anext__``
+        # below and runs ``_process_chunk`` per chunk; otherwise iteration
+        # would be forwarded to the wrapped stream and bypass instrumentation.
+        return self
+
+    async def __anext__(self) -> ChunkT:
+        try:
+            chunk = await self._self_aiter.__anext__()
+        except StopAsyncIteration:
+            self._finalize_success()
+            raise
+        except GeneratorExit:
+            self._finalize_success()
+            raise
+        except BaseException as error:
+            self._finalize_failure(error)
+            raise
+
+        _process_stream_chunk_advice(self, chunk)
+        return chunk
+
+    def _finalize_success(self) -> None:
+        with self._self_finalize_lock:
+            if self._self_finalized:
+                return
+            self._self_finalized = True
+        _finish_stream_success_advice(self)
+
+    def _finalize_failure(self, error: BaseException) -> None:
+        with self._self_finalize_lock:
+            if self._self_finalized:
+                return
+            self._self_finalized = True
+        _finish_stream_error_advice(self, error)
+
+    def __del__(self) -> None:
+        if getattr(self, "_self_finalized", True):
+            return
+        try:
+            self._finalize_success()
+        except Exception:
+            pass
+
+    @abstractmethod
+    def _process_chunk(self, chunk: ChunkT) -> None:
+        """Process one stream chunk for telemetry."""
+
+    @abstractmethod
+    def _on_stream_end(self) -> None:
+        """Finalize the stream successfully."""
+
+    @abstractmethod
+    def _on_stream_error(self, error: BaseException) -> None:
+        """Finalize the stream with failure."""
+
+
+__all__ = [
+    "AsyncStreamWrapper",
+    "SyncStreamWrapper",
+]
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/allowlist_util.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/allowlist_util.py
new file mode 100644
index 000000000..9a2e6d456
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/allowlist_util.py
@@ -0,0 +1,97 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+import os
+import re
+from typing import Iterable, Optional, Set
+
+
+def _parse_env_list(s: str) -> Set[str]:
+    result = set()
+    for entry in s.split(","):
+        stripped_entry = entry.strip()
+        if not stripped_entry:
+            continue
+        result.add(stripped_entry)
+    return result
+
+
+class _CompoundMatcher:
+    def __init__(self, entries: Set[str]):
+        self._match_all = "*" in entries
+        self._entries = entries
+        self._regex_matcher = None
+        regex_entries = []
+        for entry in entries:
+            if "*" not in entry:
+                continue
+            if entry == "*":
+                continue
+            entry = entry.replace("[", "\\[")
+            entry = entry.replace("]", "\\]")
+            entry = entry.replace(".", "\\.")
+            entry = entry.replace("*", ".*")
+            regex_entries.append(f"({entry})")
+        if regex_entries:
+            joined_regex = "|".join(regex_entries)
+            regex_str = f"^({joined_regex})$"
+            self._regex_matcher = re.compile(regex_str)
+
+    @property
+    def match_all(self):
+        return self._match_all
+
+    def matches(self, x):
+        if self._match_all:
+            return True
+        if x in self._entries:
+            return True
+        if (self._regex_matcher is not None) and (
+            self._regex_matcher.fullmatch(x)
+        ):
+            return True
+        return False
+
+
+class AllowList:
+    def __init__(
+        self,
+        includes: Optional[Iterable[str]] = None,
+        excludes: Optional[Iterable[str]] = None,
+    ):
+        self._includes = _CompoundMatcher(set(includes or []))
+        self._excludes = _CompoundMatcher(set(excludes or []))
+        assert (not self._includes.match_all) or (
+            not self._excludes.match_all
+        ), "Can't have '*' in both includes and excludes."
+
+    def allowed(self, x: str):
+        if self._excludes.match_all:
+            return self._includes.matches(x)
+        if self._includes.match_all:
+            return not self._excludes.matches(x)
+        return self._includes.matches(x) and not self._excludes.matches(x)
+
+    @staticmethod
+    def from_env(
+        includes_env_var: str, excludes_env_var: Optional[str] = None
+    ):
+        includes = _parse_env_list(os.getenv(includes_env_var) or "")
+        excludes = set()
+        if excludes_env_var:
+            excludes = _parse_env_list(os.getenv(excludes_env_var) or "")
+        return AllowList(includes=includes, excludes=excludes)
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/client_info.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/client_info.py
new file mode 100644
index 000000000..50f3449cc
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/client_info.py
@@ -0,0 +1,66 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+from typing import Any, Optional, Tuple
+from urllib.parse import urlsplit
+
+
+def get_client_info(instance: Any) -> Tuple[bool, Optional[str]]:
+    is_vertex = False
+    server_address = None
+
+    if hasattr(instance, "_api_client"):
+        api_client = instance._api_client
+        is_vertex = getattr(api_client, "vertexai", False)
+        if hasattr(api_client, "_http_options"):
+            server_address = getattr(
+                api_client._http_options, "base_url", None
+            )
+    elif hasattr(instance, "_client"):
+        client = instance._client
+        is_vertex = getattr(client, "_is_vertex", False)
+        server_address = getattr(client, "server", None)
+    elif hasattr(instance, "sdk_configuration"):
+        config = instance.sdk_configuration
+        server_url = getattr(config, "server_url", "")
+        if server_url:
+            server_address = server_url
+            server_url_string = str(server_url)
+            if "://" not in server_url_string:
+                server_url_string = "//" + server_url_string
+            server_hostname = urlsplit(server_url_string).hostname
+            if server_hostname and (
+                server_hostname == "aiplatform.googleapis.com"
+                or server_hostname.endswith("-aiplatform.googleapis.com")
+            ):
+                is_vertex = True
+
+    if server_address and "://" in str(server_address):
+        server_address = urlsplit(str(server_address)).hostname
+    elif server_address:
+        server_address = str(server_address).rstrip("/")
+
+    if not server_address:
+        server_address = (
+            "aiplatform.googleapis.com"
+            if is_vertex
+            else "generativelanguage.googleapis.com"
+        )
+
+    return bool(is_vertex), server_address
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/custom_semconv.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/custom_semconv.py
new file mode 100644
index 000000000..c6ed4007b
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/custom_semconv.py
@@ -0,0 +1,21 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+
+# Semantic Convention still being defined in:
+# https://github.com/open-telemetry/semantic-conventions/pull/2125
+GCP_GENAI_OPERATION_CONFIG = "gcp.gen_ai.operation.config"
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/dict_util.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/dict_util.py
new file mode 100644
index 000000000..31238a3a8
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/dict_util.py
@@ -0,0 +1,133 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+import json
+import logging
+from typing import (
+    Any,
+    Dict,
+    List,
+    Set,
+    Union,
+)
+
+Primitive = Union[bool, str, int, float]
+BoolList = List[bool]
+StringList = List[str]
+IntList = List[int]
+FloatList = List[float]
+HomogenousPrimitiveList = Union[BoolList, StringList, IntList, FloatList]
+FlattenedValue = Union[Primitive, HomogenousPrimitiveList]
+FlattenedDict = Dict[str, FlattenedValue]
+
+
+_logger = logging.getLogger(__name__)
+
+
+def _is_homogenous_primitive_list(v):
+    if len(v) == 0:
+        return True
+    if not isinstance(v[0], (str, bool, int, float)):
+        return False
+    first_entry_value_type = type(v[0])
+    for entry in v[1:]:
+        if not isinstance(entry, first_entry_value_type):
+            return False
+    return True
+
+
+def _flatten_compound_value_using_json(
+    key: str,
+    value: Any,
+    exclude_keys: Set[str],
+    _from_json=False,
+) -> FlattenedDict:
+    if _from_json:
+        _logger.debug(
+            "Cannot flatten value with key %s; value: %s", key, value
+        )
+        return {}
+    try:
+        json_string = json.dumps(value)
+    except TypeError:
+        _logger.debug(
+            "Cannot flatten value with key %s; value: %s. Not JSON serializable.",
+            key,
+            value,
+        )
+        return {}
+    return _flatten_value(
+        key,
+        json.loads(json_string),
+        exclude_keys,
+        # Ensure that we don't recurse indefinitely if "json.loads()" somehow returns
+        # a complex, compound object that does not get handled by the "primitive", "list",
+        # or "dict" cases. Prevents falling back on the JSON serialization fallback path.
+        True,
+    )
+
+
+def _flatten_compound_value(
+    key: str,
+    value: Any,
+    exclude_keys: Set[str],
+    _from_json=False,
+) -> FlattenedDict:
+    if isinstance(value, dict):
+        return flatten_dict(value, key, exclude_keys)
+    if isinstance(value, list):
+        if _is_homogenous_primitive_list(value):
+            return {key: value}
+        result = {f"{key}.length": len(value)}
+        for idx, val in enumerate(value):
+            result.update(_flatten_value(f"{key}[{idx}]", val, exclude_keys))
+        return result
+    if hasattr(value, "model_dump"):
+        try:
+            return flatten_dict(value.model_dump(), key, exclude_keys)
+        except TypeError:
+            return {key: str(value)}
+    return _flatten_compound_value_using_json(
+        key, value, exclude_keys, _from_json
+    )
+
+
+def _flatten_value(
+    key: str,
+    value: Any,
+    exclude_keys: Set[str],
+    _from_json=False,
+) -> FlattenedDict:
+    if value is None or key in exclude_keys:
+        return {}
+    if isinstance(value, (str, bool, int, float)):
+        return {key: value}
+    return _flatten_compound_value(key, value, exclude_keys, _from_json)
+
+
+def flatten_dict(
+    d: Dict[str, Any],
+    key_prefix: str,
+    exclude_keys: Set[str],
+) -> FlattenedDict:
+    result = {}
+    for key, value in d.items():
+        if key not in exclude_keys:
+            result.update(
+                _flatten_value(f"{key_prefix}.{key}", value, exclude_keys)
+            )
+    return result
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/embeddings.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/embeddings.py
new file mode 100644
index 000000000..42c93d9a6
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/embeddings.py
@@ -0,0 +1,310 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+import json
+from collections.abc import Callable
+from contextvars import ContextVar
+from dataclasses import dataclass
+from typing import Any, Dict, Optional, Tuple, Union
+
+from google.genai._api_client import BaseApiClient
+from google.genai.models import AsyncModels, Models
+from google.genai.types import EmbedContentResponse
+from wrapt import wrap_function_wrapper
+
+from opentelemetry.instrumentation.google_genai.client_info import (
+    get_client_info as _get_client_info,
+)
+from opentelemetry.semconv._incubating.attributes import (
+    gen_ai_attributes as GenAIAttributes,
+)
+from opentelemetry.util.genai import hook_advice
+
+from ._compat import EmbeddingInvocation, TelemetryHandler
+
+_RAW_RESPONSE_BODY: ContextVar[Optional[str]] = ContextVar(
+    "raw_response_body", default=None
+)
+_CAPTURE_RAW_RESPONSE: ContextVar[bool] = ContextVar(
+    "capture_raw_response", default=False
+)
+_EMBEDDING_DIMENSION_COUNT = getattr(
+    GenAIAttributes,
+    "GEN_AI_EMBEDDINGS_DIMENSION_COUNT",
+    "gen_ai.embeddings.dimension.count",
+)
+
+
+class _EmbeddingMethodsSnapshot:
+    def __init__(self) -> None:
+        self._original_embed_content = Models.embed_content
+        self._original_embed_content_code = Models.embed_content.__code__
+        self._original_async_embed_content = AsyncModels.embed_content
+        self._original_async_embed_content_code = (
+            AsyncModels.embed_content.__code__
+        )
+        self._original_client_request = BaseApiClient.request
+        self._original_client_async_request = BaseApiClient.async_request
+
+    def restore(self) -> None:
+        self._original_embed_content.__code__ = (
+            self._original_embed_content_code
+        )
+        self._original_async_embed_content.__code__ = (
+            self._original_async_embed_content_code
+        )
+
+        Models.embed_content = self._original_embed_content
+        AsyncModels.embed_content = self._original_async_embed_content
+        BaseApiClient.request = self._original_client_request
+        BaseApiClient.async_request = self._original_client_async_request
+
+
+# Magic incantation used by native Google ADK instrumentation to identify
+# instrumented functions and suppress its own internal tracing when OTel is active.
+def _set_co_filename(wrapped: object) -> None:
+    wrapped.__wrapped__.__code__ = wrapped.__wrapped__.__code__.replace(
+        co_filename=__file__.replace("\\", "/")
+    )
+
+
+def _apply_embedding_response_attributes(
+    response: EmbedContentResponse,
+    invocation: EmbeddingInvocation,
+) -> None:
+    if response.embeddings:
+        first_embedding = response.embeddings[0]
+        if first_embedding.values:
+            invocation.dimension_count = len(first_embedding.values)
+            invocation.metric_attributes[_EMBEDDING_DIMENSION_COUNT] = (
+                invocation.dimension_count
+            )
+
+    # In the future we can get rid of this and the monkey patching of the
+    # requests, and use the parsed SDK response instead. See:
+    # https://github.com/googleapis/python-genai/issues/2658
+    if raw_body := _RAW_RESPONSE_BODY.get():
+        try:
+            body_dict = json.loads(raw_body)
+            usage_metadata = body_dict.get("usageMetadata")
+            if isinstance(usage_metadata, dict):
+                invocation.input_tokens = usage_metadata.get(
+                    "promptTokenCount"
+                )
+        except Exception:
+            pass
+
+
+@dataclass
+class _EmbeddingAdviceState:
+    invocation: EmbeddingInvocation
+    raw_body_token: Any
+    capture_token: Any
+
+
+@hook_advice("google-genai", "prepare_embedding")
+def _prepare_embedding_advice(
+    telemetry_handler: TelemetryHandler,
+    instance: Union[Models, AsyncModels],
+    kwargs: Dict[str, Any],
+) -> _EmbeddingAdviceState:
+    raw_body_token = None
+    capture_token = None
+    invocation = None
+    try:
+        raw_body_token = _RAW_RESPONSE_BODY.set(None)
+        capture_token = _CAPTURE_RAW_RESPONSE.set(True)
+        is_vertex, server_address = _get_client_info(instance)
+        invocation = telemetry_handler.embedding(
+            provider=(
+                GenAIAttributes.GenAiSystemValues.VERTEX_AI.value
+                if is_vertex
+                else GenAIAttributes.GenAiSystemValues.GEMINI.value
+            ),
+            request_model=kwargs.get("model"),
+            server_address=server_address,
+        )
+        return _EmbeddingAdviceState(
+            invocation=invocation,
+            raw_body_token=raw_body_token,
+            capture_token=capture_token,
+        )
+    except Exception:
+        if invocation is not None:
+            telemetry_handler.abandon_embedding(invocation)
+        if raw_body_token is not None:
+            _RAW_RESPONSE_BODY.reset(raw_body_token)
+        if capture_token is not None:
+            _CAPTURE_RAW_RESPONSE.reset(capture_token)
+        raise
+
+
+@hook_advice("google-genai", "complete_embedding")
+def _complete_embedding_advice(
+    state: _EmbeddingAdviceState,
+    response: EmbedContentResponse,
+) -> None:
+    try:
+        try:
+            _apply_embedding_response_attributes(response, state.invocation)
+        finally:
+            state.invocation.stop()
+    finally:
+        _RAW_RESPONSE_BODY.reset(state.raw_body_token)
+        _CAPTURE_RAW_RESPONSE.reset(state.capture_token)
+
+
+@hook_advice("google-genai", "fail_embedding")
+def _fail_embedding_advice(
+    state: _EmbeddingAdviceState,
+    error: BaseException,
+) -> None:
+    try:
+        state.invocation.fail(error)
+    finally:
+        _RAW_RESPONSE_BODY.reset(state.raw_body_token)
+        _CAPTURE_RAW_RESPONSE.reset(state.capture_token)
+
+
+@hook_advice("google-genai", "capture_embedding_raw_response")
+def _capture_embedding_raw_response_advice(response: Any) -> None:
+    if (
+        _CAPTURE_RAW_RESPONSE.get()
+        and response
+        and getattr(response, "body", None)
+    ):
+        _RAW_RESPONSE_BODY.set(response.body)
+
+
+def _create_instrumented_embed_content(
+    telemetry_handler: TelemetryHandler,
+) -> Callable[
+    [
+        Callable[..., EmbedContentResponse],
+        Models,
+        Tuple[Any, ...],
+        Dict[str, Any],
+    ],
+    EmbedContentResponse,
+]:
+    def instrumented_embed_content(
+        wrapped: Callable[..., EmbedContentResponse],
+        instance: Models,
+        args: Tuple[Any, ...],
+        kwargs: Dict[str, Any],
+    ) -> EmbedContentResponse:
+        state = _prepare_embedding_advice(
+            telemetry_handler,
+            instance,
+            kwargs,
+        )
+        try:
+            response = wrapped(*args, **kwargs)
+        except BaseException as error:
+            if state is not None:
+                _fail_embedding_advice(state, error)
+            raise
+        if state is not None:
+            _complete_embedding_advice(state, response)
+        return response
+
+    return instrumented_embed_content
+
+
+def _create_instrumented_async_embed_content(
+    telemetry_handler: TelemetryHandler,
+) -> Callable[
+    [
+        Callable[..., Any],
+        AsyncModels,
+        Tuple[Any, ...],
+        Dict[str, Any],
+    ],
+    Any,
+]:
+    async def instrumented_embed_content(
+        wrapped: Callable[..., Any],
+        instance: AsyncModels,
+        args: Tuple[Any, ...],
+        kwargs: Dict[str, Any],
+    ) -> EmbedContentResponse:
+        state = _prepare_embedding_advice(
+            telemetry_handler,
+            instance,
+            kwargs,
+        )
+        try:
+            response = await wrapped(*args, **kwargs)
+        except BaseException as error:
+            if state is not None:
+                _fail_embedding_advice(state, error)
+            raise
+        if state is not None:
+            _complete_embedding_advice(state, response)
+        return response
+
+    return instrumented_embed_content
+
+
+def uninstrument_embeddings(snapshot: object) -> None:
+    assert isinstance(snapshot, _EmbeddingMethodsSnapshot)
+    snapshot.restore()
+
+
+def instrument_embeddings(
+    telemetry_handler: TelemetryHandler,
+) -> object:
+    snapshot = _EmbeddingMethodsSnapshot()
+
+    wrapped = wrap_function_wrapper(
+        "google.genai.models",
+        "Models.embed_content",
+        _create_instrumented_embed_content(telemetry_handler),
+    )
+    wrapped2 = wrap_function_wrapper(
+        "google.genai.models",
+        "AsyncModels.embed_content",
+        _create_instrumented_async_embed_content(telemetry_handler),
+    )
+    _set_co_filename(wrapped)
+    _set_co_filename(wrapped2)
+
+    # Wrap BaseApiClient to capture raw responses
+    def instrumented_request(wrapped, instance, args, kwargs):
+        response = wrapped(*args, **kwargs)
+        _capture_embedding_raw_response_advice(response)
+        return response
+
+    async def instrumented_async_request(wrapped, instance, args, kwargs):
+        response = await wrapped(*args, **kwargs)
+        _capture_embedding_raw_response_advice(response)
+        return response
+
+    wrap_function_wrapper(
+        "google.genai._api_client",
+        "BaseApiClient.request",
+        instrumented_request,
+    )
+    wrap_function_wrapper(
+        "google.genai._api_client",
+        "BaseApiClient.async_request",
+        instrumented_async_request,
+    )
+
+    return snapshot
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/generate_content.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/generate_content.py
new file mode 100644
index 000000000..c323a1414
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/generate_content.py
@@ -0,0 +1,1020 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+import json
+import os
+from collections.abc import AsyncIterable, Callable, Iterable
+from copy import copy
+from dataclasses import dataclass
+from typing import Any, Dict, List, Optional, Tuple, Union
+
+from google.genai.models import AsyncModels, Models
+from google.genai.models import t as transformers
+from google.genai.types import (
+    ContentListUnion,
+    ContentListUnionDict,
+    GenerateContentConfig,
+    GenerateContentConfigOrDict,
+    GenerateContentResponse,
+    Tool,
+    ToolUnionDict,
+)
+from wrapt import wrap_function_wrapper
+
+from opentelemetry import context as context_api
+from opentelemetry.semconv._incubating.attributes import (
+    gen_ai_attributes,
+)
+from opentelemetry.util.genai import async_hook_advice, hook_advice
+from opentelemetry.util.genai.types import (
+    FunctionToolDefinition,
+    GenericToolDefinition,
+    ToolDefinition,
+)
+from opentelemetry.util.types import AttributeValue
+
+from ._compat import InferenceInvocation, TelemetryHandler
+from ._stream import (
+    AsyncStreamWrapper,
+    SyncStreamWrapper,
+)
+from .allowlist_util import AllowList
+from .client_info import get_client_info as _get_client_info
+from .custom_semconv import GCP_GENAI_OPERATION_CONFIG
+from .dict_util import flatten_dict
+from .message import (
+    StreamOutputMessageAccumulator,
+    to_input_messages,
+    to_output_messages,
+    to_system_instructions,
+)
+from .tool_call_wrapper import wrapped_tool
+
+_is_mcp_imported = False
+McpClientSession = McpTool = None
+try:
+    from mcp import ClientSession as McpClientSession
+    from mcp import Tool as McpTool
+
+    _is_mcp_imported = True
+except ImportError:
+    pass
+
+GENERATE_CONTENT_EXTRA_ATTRIBUTES_CONTEXT_KEY = context_api.create_key(
+    "generate_content_extra_attributes_context_key"
+)
+
+
+class _MethodsSnapshot:
+    def __init__(self):
+        self._original_generate_content = Models.generate_content
+        self._original_generate_content_code = Models.generate_content.__code__
+        self._original_generate_content_stream = Models.generate_content_stream
+        self._original_generate_content_stream_code = (
+            Models.generate_content_stream.__code__
+        )
+        self._original_async_generate_content = AsyncModels.generate_content
+        self._original_async_generate_content_code = (
+            AsyncModels.generate_content.__code__
+        )
+        self._original_async_generate_content_stream = (
+            AsyncModels.generate_content_stream
+        )
+        self._original_async_generate_content_stream_code = (
+            AsyncModels.generate_content_stream.__code__
+        )
+
+    @property
+    def generate_content(self):
+        return self._original_generate_content
+
+    @property
+    def generate_content_stream(self):
+        return self._original_generate_content_stream
+
+    @property
+    def async_generate_content(self):
+        return self._original_async_generate_content
+
+    @property
+    def async_generate_content_stream(self):
+        return self._original_async_generate_content_stream
+
+    def restore(self):
+        self._original_generate_content.__code__ = (
+            self._original_generate_content_code
+        )
+        self._original_generate_content_stream.__code__ = (
+            self._original_generate_content_stream_code
+        )
+        self._original_async_generate_content.__code__ = (
+            self._original_async_generate_content_code
+        )
+        self._original_async_generate_content_stream.__code__ = (
+            self._original_async_generate_content_stream_code
+        )
+
+        Models.generate_content = self._original_generate_content
+        Models.generate_content_stream = self._original_generate_content_stream
+        AsyncModels.generate_content = self._original_async_generate_content
+        AsyncModels.generate_content_stream = (
+            self._original_async_generate_content_stream
+        )
+
+
+# Magic incantation used by native Google ADK instrumentation to identify
+# instrumented functions and suppress its own internal tracing when OTel is active.
+def _set_co_filename(wrapped: object) -> None:
+    wrapped.__wrapped__.__code__ = wrapped.__wrapped__.__code__.replace(
+        co_filename=__file__.replace("\\", "/")
+    )
+
+
+def _guess_genai_system_from_env():
+    if os.environ.get("GOOGLE_GENAI_USE_VERTEXAI", "0").lower() in [
+        "true",
+        "1",
+    ]:
+        return gen_ai_attributes.GenAiSystemValues.VERTEX_AI.name.lower()
+    return gen_ai_attributes.GenAiSystemValues.GEMINI.name.lower()
+
+
+def _get_is_vertexai(models_object: Union[Models, AsyncModels]):
+    # Since commit 8e561de04965bb8766db87ad8eea7c57c1040442 of "googleapis/python-genai",
+    # it is possible to obtain the information using a documented property.
+    if hasattr(models_object, "vertexai"):
+        vertexai_attr = getattr(models_object, "vertexai")
+        if vertexai_attr is not None:
+            return vertexai_attr
+    # For earlier revisions, it is necessary to deeply inspect the internals.
+    if hasattr(models_object, "_api_client"):
+        client = getattr(models_object, "_api_client")
+        if not client:
+            return None
+        if hasattr(client, "vertexai"):
+            return getattr(client, "vertexai")
+    return None
+
+
+def _determine_genai_system(models_object: Union[Models, AsyncModels]):
+    vertexai_attr = _get_is_vertexai(models_object)
+    if vertexai_attr is None:
+        return _guess_genai_system_from_env()
+    if vertexai_attr:
+        return gen_ai_attributes.GenAiSystemValues.VERTEX_AI.name.lower()
+    return gen_ai_attributes.GenAiSystemValues.GEMINI.name.lower()
+
+
+def _model_dump_to_tool_definition(tool: Any) -> ToolDefinition:
+    model_dump = tool.model_dump(exclude_none=True)
+
+    name = (
+        model_dump.get("name")
+        or getattr(tool, "name", None)
+        or type(tool).__name__
+    )
+    description = model_dump.get("description") or getattr(
+        tool, "description", None
+    )
+    parameters = model_dump.get("parameters") or model_dump.get("inputSchema")
+    return FunctionToolDefinition(
+        name=name,
+        description=description,
+        parameters=parameters,
+    )
+
+
+def _clean_parameters(params: Any) -> Any:
+    """Converts parameter objects into plain dicts."""
+    if params is None:
+        return None
+    if isinstance(params, dict):
+        return params
+    if hasattr(params, "to_dict"):
+        return params.to_dict()
+    if hasattr(params, "model_dump"):
+        return params.model_dump(exclude_none=True)
+
+    try:
+        # Check if it's already a standard JSON type.
+        json.dumps(params)
+        return params
+
+    except (TypeError, ValueError):
+        return {
+            "type": "object",
+            "properties": {
+                "serialization_error": {
+                    "type": "string",
+                    "description": f"Failed to serialize parameters: {type(params).__name__}",
+                }
+            },
+        }
+
+
+def _tool_to_tool_definition(tool: Tool) -> List[ToolDefinition]:
+    definitions = []
+    if tool.function_declarations:
+        for fd in tool.function_declarations:
+            definitions.append(
+                FunctionToolDefinition(
+                    name=getattr(fd, "name", type(fd).__name__),
+                    description=getattr(fd, "description", None),
+                    parameters=_clean_parameters(
+                        getattr(fd, "parameters", None)
+                    ),
+                )
+            )
+
+    # Generic types
+    if hasattr(tool, "model_dump"):
+        exclude_fields = {"function_declarations"}
+        fields = {
+            k: v
+            for k, v in tool.model_dump().items()
+            if v is not None and k not in exclude_fields
+        }
+
+        for tool_type, _ in fields.items():
+            definitions.append(
+                GenericToolDefinition(
+                    type=tool_type,
+                    name=tool_type,
+                )
+            )
+
+    return definitions
+
+
+def _callable_tool_to_tool_definition(tool: Any) -> ToolDefinition:
+    doc = getattr(tool, "__doc__", "") or ""
+    return FunctionToolDefinition(
+        name=getattr(tool, "__name__", type(tool).__name__),
+        description=doc.strip(),
+        parameters=None,
+    )
+
+
+def _mcp_tool_to_tool_definition(tool: McpTool) -> ToolDefinition:
+    if hasattr(tool, "model_dump"):
+        return _model_dump_to_tool_definition(tool)
+
+    return FunctionToolDefinition(
+        name=getattr(tool, "name", type(tool).__name__),
+        description=getattr(tool, "description", None),
+        parameters=getattr(tool, "input_schema", None),
+    )
+
+
+def _to_tool_definition_common(tool: ToolUnionDict) -> List[ToolDefinition]:
+    if isinstance(tool, Tool):
+        return _tool_to_tool_definition(tool)
+
+    if callable(tool):
+        return [_callable_tool_to_tool_definition(tool)]
+
+    if _is_mcp_imported and isinstance(tool, McpTool):
+        return [_mcp_tool_to_tool_definition(tool)]
+
+    return [
+        GenericToolDefinition(
+            name="UnserializableTool",
+            type=type(tool).__name__,
+        )
+    ]
+
+
+def _to_tool_definition(tool: ToolUnionDict) -> List[ToolDefinition]:
+    if _is_mcp_imported and isinstance(tool, McpClientSession):
+        return []
+
+    return _to_tool_definition_common(tool)
+
+
+async def _to_tool_definition_async(
+    tool: ToolUnionDict,
+) -> List[ToolDefinition]:
+    if _is_mcp_imported and isinstance(tool, McpClientSession):
+        result = await tool.list_tools()
+        return [_model_dump_to_tool_definition(t) for t in result.tools]
+
+    return _to_tool_definition_common(tool)
+
+
+def _apply_request_attributes(
+    config: GenerateContentConfig,
+    allow_list: AllowList,
+    invocation: InferenceInvocation,
+) -> None:
+    invocation.temperature = config.temperature
+    invocation.top_p = config.top_p
+    invocation.top_k = config.top_k
+    invocation.request_choice_count = config.candidate_count
+    invocation.max_tokens = config.max_output_tokens
+    invocation.stop_sequences = config.stop_sequences
+    invocation.frequency_penalty = config.frequency_penalty
+    invocation.presence_penalty = config.presence_penalty
+    invocation.seed = config.seed
+    if config.response_mime_type == "text/plain":
+        invocation.output_type = "text"
+    elif config.response_mime_type == "application/json":
+        invocation.output_type = "json"
+    else:
+        invocation.output_type = config.response_mime_type
+    attributes = flatten_dict(
+        config.model_dump(exclude_none=True),
+        # A custom prefix is used, because the names/structure of the
+        # configuration is likely to be specific to Google Gen AI SDK.
+        key_prefix=GCP_GENAI_OPERATION_CONFIG,
+        # These are all captured above as semantic conventions.
+        exclude_keys={
+            f"{GCP_GENAI_OPERATION_CONFIG}.system_instruction",
+            f"{GCP_GENAI_OPERATION_CONFIG}.temperature",
+            f"{GCP_GENAI_OPERATION_CONFIG}.top_k",
+            f"{GCP_GENAI_OPERATION_CONFIG}.top_p",
+            f"{GCP_GENAI_OPERATION_CONFIG}.candidate_count",
+            f"{GCP_GENAI_OPERATION_CONFIG}.max_output_tokens",
+            f"{GCP_GENAI_OPERATION_CONFIG}.stop_sequences",
+            f"{GCP_GENAI_OPERATION_CONFIG}.frequency_penalty",
+            f"{GCP_GENAI_OPERATION_CONFIG}.presence_penalty",
+            f"{GCP_GENAI_OPERATION_CONFIG}.seed",
+            f"{GCP_GENAI_OPERATION_CONFIG}.response_mime_type",
+        },
+    )
+    invocation.attributes.update(
+        {k: v for k, v in attributes.items() if allow_list.allowed(k)}
+    )
+
+
+def _get_response_property(response: GenerateContentResponse, path: str):
+    path_segments = path.split(".")
+    current_context = response
+    for path_segment in path_segments:
+        if current_context is None:
+            return None
+        if isinstance(current_context, dict):
+            current_context = current_context.get(path_segment)
+        else:
+            current_context = getattr(current_context, path_segment)
+    return current_context
+
+
+def _wrapped_config_with_tools(
+    telemetry_handler: TelemetryHandler,
+    config: Optional[GenerateContentConfigOrDict],
+) -> Tuple[GenerateContentConfig, bool]:
+    if config is None:
+        return GenerateContentConfig(), False
+    if isinstance(config, dict):
+        try:
+            config = GenerateContentConfig.model_validate(config)
+        except Exception:
+            return GenerateContentConfig(), False
+    if not config.tools:
+        return config, False
+    config = copy(config)
+    config.tools = [
+        wrapped_tool(tool, telemetry_handler) for tool in config.tools
+    ]
+    return config, True
+
+
+def _get_extra_generate_content_attributes() -> Dict[str, AttributeValue]:
+    attrs = context_api.get_value(
+        GENERATE_CONTENT_EXTRA_ATTRIBUTES_CONTEXT_KEY
+    )
+    return dict(attrs or {})
+
+
+def _apply_response_attributes(
+    response: GenerateContentResponse,
+    finish_reasons: List[str],
+    invocation: InferenceInvocation,
+):
+    if response.response_id:
+        invocation.response_id = response.response_id
+    if response.model_version:
+        invocation.response_model_name = response.model_version
+    for candidate in response.candidates or []:
+        if candidate.finish_reason:
+            finish_reasons.append(candidate.finish_reason.value.lower())
+    invocation.finish_reasons = finish_reasons
+    input_tokens = _get_response_property(
+        response, "usage_metadata.prompt_token_count"
+    )
+    output_tokens = _get_response_property(
+        response, "usage_metadata.candidates_token_count"
+    )
+    cached_tokens = _get_response_property(
+        response, "usage_metadata.cached_content_token_count"
+    )
+    thinking_tokens = _get_response_property(
+        response, "usage_metadata.thoughts_token_count"
+    )
+    if cached_tokens is not None and isinstance(cached_tokens, int):
+        invocation.cache_read_input_tokens = cached_tokens
+    if input_tokens is not None and isinstance(input_tokens, int):
+        invocation.input_tokens = input_tokens
+    if output_tokens is not None and isinstance(output_tokens, int):
+        invocation.output_tokens = output_tokens
+    if thinking_tokens is not None and isinstance(thinking_tokens, int):
+        # The util library will add this total to output tokens.
+        invocation.thinking_tokens = thinking_tokens
+
+
+def _maybe_get_tool_definitions(
+    config: GenerateContentConfig,
+) -> List[ToolDefinition]:
+    return [
+        de
+        for tool in config.tools or []
+        for de in _to_tool_definition(tool)
+        if de
+    ]
+
+
+async def _maybe_get_tool_definitions_async(
+    config: GenerateContentConfig,
+) -> List[ToolDefinition]:
+    # Tool discovery is telemetry-only. Do not call MCP/application callbacks
+    # before the real SDK operation; losing those definitions is preferable to
+    # adding side effects or blocking the customer's request.
+    return [
+        de
+        for tool in config.tools or []
+        for de in _to_tool_definition(tool)
+        if de
+    ]
+
+
+@dataclass
+class _GenerateContentAdviceState:
+    invocation: InferenceInvocation
+    wrapped_config: GenerateContentConfig
+    has_wrapped_tools: bool
+
+
+@hook_advice("google-genai", "prepare_generate_content")
+def _prepare_generate_content_advice(
+    telemetry_handler: TelemetryHandler,
+    generate_content_config_key_allowlist: AllowList,
+    instance: Any,
+    model: str,
+    contents: Union[ContentListUnion, ContentListUnionDict],
+    config: Optional[GenerateContentConfigOrDict],
+) -> _GenerateContentAdviceState:
+    invocation = None
+    try:
+        wrapped_config, has_wrapped_tools = _wrapped_config_with_tools(
+            telemetry_handler,
+            config,
+        )
+        _, server_address = _get_client_info(instance)
+        invocation = telemetry_handler.inference(
+            provider=_determine_genai_system(instance),
+            request_model=model,
+            operation_name="generate_content",
+            server_address=server_address,
+        )
+        _apply_request_attributes(
+            wrapped_config,
+            generate_content_config_key_allowlist,
+            invocation,
+        )
+        invocation.attributes.update(_get_extra_generate_content_attributes())
+        invocation.tool_definitions = _maybe_get_tool_definitions(
+            wrapped_config
+        )
+        if telemetry_handler.should_capture_content():
+            invocation.input_messages = to_input_messages(
+                contents=transformers.t_contents(contents)
+            )
+            if wrapped_config.system_instruction:
+                invocation.system_instruction = to_system_instructions(
+                    content=transformers.t_contents(
+                        wrapped_config.system_instruction
+                    )[0]
+                )
+        return _GenerateContentAdviceState(
+            invocation=invocation,
+            wrapped_config=wrapped_config,
+            has_wrapped_tools=has_wrapped_tools,
+        )
+    except Exception:
+        if invocation is not None:
+            telemetry_handler.abandon_inference(invocation)
+        raise
+
+
+@async_hook_advice("google-genai", "prepare_async_generate_content")
+async def _prepare_async_generate_content_advice(
+    telemetry_handler: TelemetryHandler,
+    generate_content_config_key_allowlist: AllowList,
+    instance: Any,
+    model: str,
+    contents: Union[ContentListUnion, ContentListUnionDict],
+    config: Optional[GenerateContentConfigOrDict],
+) -> _GenerateContentAdviceState:
+    invocation = None
+    try:
+        wrapped_config, has_wrapped_tools = _wrapped_config_with_tools(
+            telemetry_handler,
+            config,
+        )
+        _, server_address = _get_client_info(instance)
+        invocation = telemetry_handler.inference(
+            provider=_determine_genai_system(instance),
+            request_model=model,
+            operation_name="generate_content",
+            server_address=server_address,
+        )
+        _apply_request_attributes(
+            wrapped_config,
+            generate_content_config_key_allowlist,
+            invocation,
+        )
+        invocation.attributes.update(_get_extra_generate_content_attributes())
+        invocation.tool_definitions = await _maybe_get_tool_definitions_async(
+            wrapped_config
+        )
+        if telemetry_handler.should_capture_content():
+            invocation.input_messages = to_input_messages(
+                contents=transformers.t_contents(contents)
+            )
+            if wrapped_config.system_instruction:
+                invocation.system_instruction = to_system_instructions(
+                    content=transformers.t_contents(
+                        wrapped_config.system_instruction
+                    )[0]
+                )
+        return _GenerateContentAdviceState(
+            invocation=invocation,
+            wrapped_config=wrapped_config,
+            has_wrapped_tools=has_wrapped_tools,
+        )
+    except Exception:
+        if invocation is not None:
+            telemetry_handler.abandon_inference(invocation)
+        raise
+
+
+@hook_advice("google-genai", "complete_generate_content")
+def _complete_generate_content_advice(
+    telemetry_handler: TelemetryHandler,
+    state: _GenerateContentAdviceState,
+    response: GenerateContentResponse,
+) -> None:
+    finish_reasons: List[str] = []
+    try:
+        _apply_response_attributes(
+            response,
+            finish_reasons,
+            state.invocation,
+        )
+        if telemetry_handler.should_capture_content() and response.candidates:
+            state.invocation.output_messages = to_output_messages(
+                candidates=response.candidates
+            )
+    finally:
+        state.invocation.stop()
+
+
+@hook_advice("google-genai", "fail_generate_content")
+def _fail_generate_content_advice(
+    state: _GenerateContentAdviceState,
+    error: BaseException,
+) -> None:
+    state.invocation.fail(error)
+
+
+@hook_advice("google-genai", "detach_stream_context")
+def _detach_stream_context_advice(
+    telemetry_handler: TelemetryHandler,
+    state: _GenerateContentAdviceState,
+) -> bool:
+    telemetry_handler.detach_inference_context(state.invocation)
+    return True
+
+
+@hook_advice("google-genai", "abandon_generate_content")
+def _abandon_generate_content_advice(
+    telemetry_handler: TelemetryHandler,
+    state: _GenerateContentAdviceState,
+) -> None:
+    telemetry_handler.abandon_inference(state.invocation)
+
+
+def _create_instrumented_generate_content(
+    telemetry_handler: TelemetryHandler,
+    generate_content_config_key_allowlist: AllowList,
+):
+    def instrumented_generate_content(
+        wrapped: Callable[..., Any],
+        instance: Any,
+        args: Tuple[Any, ...],
+        kwargs: Dict[str, Any],
+    ):
+        def _execute(
+            model: str,
+            contents: Union[ContentListUnion, ContentListUnionDict],
+            config: Optional[GenerateContentConfigOrDict] = None,
+            *_args,
+            **_kwargs,
+        ):
+            state = _prepare_generate_content_advice(
+                telemetry_handler,
+                generate_content_config_key_allowlist,
+                instance,
+                model,
+                contents,
+                config,
+            )
+            call_config = (
+                state.wrapped_config
+                if state is not None and state.has_wrapped_tools
+                else config
+            )
+            try:
+                response = wrapped(
+                    model=model,
+                    contents=contents,
+                    config=call_config,
+                    *_args,
+                    **_kwargs,
+                )
+            except BaseException as error:
+                if state is not None:
+                    _fail_generate_content_advice(state, error)
+                raise
+            if state is not None:
+                _complete_generate_content_advice(
+                    telemetry_handler,
+                    state,
+                    response,
+                )
+            return response
+
+        return _execute(*args, **kwargs)
+
+    return instrumented_generate_content
+
+
+class GenerateContentStreamWrapper(SyncStreamWrapper[GenerateContentResponse]):
+    def __init__(
+        self,
+        stream: Iterable[GenerateContentResponse],
+        invocation: InferenceInvocation,
+        telemetry_handler: TelemetryHandler,
+    ) -> None:
+        super().__init__(stream)
+        self._self_invocation = invocation
+        self._self_telemetry_handler = telemetry_handler
+        self._self_finish_reasons: List[str] = []
+        self._self_output_accumulator = StreamOutputMessageAccumulator()
+
+    def _process_chunk(self, chunk: GenerateContentResponse) -> None:
+        self._self_invocation.record_first_token()
+        _apply_response_attributes(
+            chunk,
+            self._self_finish_reasons,
+            self._self_invocation,
+        )
+        if chunk.candidates:
+            self._self_output_accumulator.add_candidates(chunk.candidates)
+
+    def _on_stream_end(self) -> None:
+        try:
+            if self._self_telemetry_handler.should_capture_content():
+                self._self_invocation.output_messages = (
+                    self._self_output_accumulator.to_output_messages()
+                )
+        finally:
+            self._self_invocation.stop()
+
+    def _on_stream_error(self, error: BaseException) -> None:
+        self._self_invocation.fail(error)
+
+
+class AsyncGenerateContentStreamWrapper(
+    AsyncStreamWrapper[GenerateContentResponse]
+):
+    def __init__(
+        self,
+        stream: AsyncIterable[GenerateContentResponse],
+        invocation: InferenceInvocation,
+        telemetry_handler: TelemetryHandler,
+    ) -> None:
+        super().__init__(stream)
+        # _self_ is a naming convention used by the wrapt library to differentiate
+        # between attributes on the wrapped function and the original function.
+        self._self_invocation = invocation
+        self._self_telemetry_handler = telemetry_handler
+        self._self_finish_reasons: List[str] = []
+        self._self_output_accumulator = StreamOutputMessageAccumulator()
+
+    def _process_chunk(self, chunk: GenerateContentResponse) -> None:
+        self._self_invocation.record_first_token()
+        _apply_response_attributes(
+            chunk,
+            self._self_finish_reasons,
+            self._self_invocation,
+        )
+        if chunk.candidates:
+            self._self_output_accumulator.add_candidates(chunk.candidates)
+
+    def _on_stream_end(self) -> None:
+        try:
+            if self._self_telemetry_handler.should_capture_content():
+                self._self_invocation.output_messages = (
+                    self._self_output_accumulator.to_output_messages()
+                )
+        finally:
+            self._self_invocation.stop()
+
+    def _on_stream_error(self, error: BaseException) -> None:
+        self._self_invocation.fail(error)
+
+
+@hook_advice("google-genai", "wrap_generate_content_stream")
+def _wrap_generate_content_stream_advice(
+    stream: Any,
+    state: _GenerateContentAdviceState,
+    telemetry_handler: TelemetryHandler,
+    *,
+    asynchronous: bool,
+) -> Any:
+    wrapper_type = (
+        AsyncGenerateContentStreamWrapper
+        if asynchronous
+        else GenerateContentStreamWrapper
+    )
+    return wrapper_type(
+        stream,
+        state.invocation,
+        telemetry_handler,
+    )
+
+
+def _create_instrumented_generate_content_stream(
+    telemetry_handler: TelemetryHandler,
+    generate_content_config_key_allowlist: AllowList,
+):
+    def instrumented_generate_content_stream(
+        wrapped: Callable[..., Any],
+        instance: Any,
+        args: Tuple[Any, ...],
+        kwargs: Dict[str, Any],
+    ):
+        def _execute(
+            model: str,
+            contents: Union[ContentListUnion, ContentListUnionDict],
+            config: Optional[GenerateContentConfigOrDict] = None,
+            *_args,
+            **_kwargs,
+        ):
+            state = _prepare_generate_content_advice(
+                telemetry_handler,
+                generate_content_config_key_allowlist,
+                instance,
+                model,
+                contents,
+                config,
+            )
+            call_config = (
+                state.wrapped_config
+                if state is not None and state.has_wrapped_tools
+                else config
+            )
+            try:
+                stream = wrapped(
+                    model=model,
+                    contents=contents,
+                    config=call_config,
+                    *_args,
+                    **_kwargs,
+                )
+            except BaseException as error:
+                if state is not None:
+                    _fail_generate_content_advice(state, error)
+                raise
+            if state is None:
+                return stream
+            if not _detach_stream_context_advice(
+                telemetry_handler,
+                state,
+            ):
+                _abandon_generate_content_advice(
+                    telemetry_handler,
+                    state,
+                )
+                return stream
+            stream_wrapper = _wrap_generate_content_stream_advice(
+                stream,
+                state,
+                telemetry_handler,
+                asynchronous=False,
+            )
+            if stream_wrapper is None:
+                _abandon_generate_content_advice(
+                    telemetry_handler,
+                    state,
+                )
+                return stream
+            return stream_wrapper
+
+        return _execute(*args, **kwargs)
+
+    return instrumented_generate_content_stream
+
+
+def _create_instrumented_async_generate_content(
+    telemetry_handler: TelemetryHandler,
+    generate_content_config_key_allowlist: AllowList,
+):
+    async def instrumented_generate_content(
+        wrapped: Callable[..., Any],
+        instance: Any,
+        args: Tuple[Any, ...],
+        kwargs: Dict[str, Any],
+    ):
+        async def _execute(
+            model: str,
+            contents: Union[ContentListUnion, ContentListUnionDict],
+            config: Optional[GenerateContentConfigOrDict] = None,
+            *_args,
+            **_kwargs,
+        ):
+            state = await _prepare_async_generate_content_advice(
+                telemetry_handler,
+                generate_content_config_key_allowlist,
+                instance,
+                model,
+                contents,
+                config,
+            )
+            call_config = (
+                state.wrapped_config
+                if state is not None and state.has_wrapped_tools
+                else config
+            )
+            try:
+                response = await wrapped(
+                    model=model,
+                    contents=contents,
+                    config=call_config,
+                    *_args,
+                    **_kwargs,
+                )
+            except BaseException as error:
+                if state is not None:
+                    _fail_generate_content_advice(state, error)
+                raise
+            if state is not None:
+                _complete_generate_content_advice(
+                    telemetry_handler,
+                    state,
+                    response,
+                )
+            return response
+
+        return await _execute(*args, **kwargs)
+
+    return instrumented_generate_content
+
+
+def _create_instrumented_async_generate_content_stream(  # type: ignore
+    telemetry_handler: TelemetryHandler,
+    generate_content_config_key_allowlist: AllowList,
+):
+    async def instrumented_generate_content_stream(
+        wrapped: Callable[..., Any],
+        instance: Any,
+        args: Tuple[Any, ...],
+        kwargs: Dict[str, Any],
+    ):
+        async def _execute(
+            model: str,
+            contents: Union[ContentListUnion, ContentListUnionDict],
+            config: Optional[GenerateContentConfigOrDict] = None,
+            *_args,
+            **_kwargs,
+        ):
+            state = await _prepare_async_generate_content_advice(
+                telemetry_handler,
+                generate_content_config_key_allowlist,
+                instance,
+                model,
+                contents,
+                config,
+            )
+            call_config = (
+                state.wrapped_config
+                if state is not None and state.has_wrapped_tools
+                else config
+            )
+            try:
+                stream = await wrapped(
+                    model=model,
+                    contents=contents,
+                    config=call_config,
+                    *_args,
+                    **_kwargs,
+                )
+            except BaseException as error:
+                if state is not None:
+                    _fail_generate_content_advice(state, error)
+                raise
+            if state is None:
+                return stream
+            if not _detach_stream_context_advice(
+                telemetry_handler,
+                state,
+            ):
+                _abandon_generate_content_advice(
+                    telemetry_handler,
+                    state,
+                )
+                return stream
+            stream_wrapper = _wrap_generate_content_stream_advice(
+                stream,
+                state,
+                telemetry_handler,
+                asynchronous=True,
+            )
+            if stream_wrapper is None:
+                _abandon_generate_content_advice(
+                    telemetry_handler,
+                    state,
+                )
+                return stream
+            return stream_wrapper
+
+        return await _execute(*args, **kwargs)
+
+    return instrumented_generate_content_stream
+
+
+def uninstrument_generate_content(snapshot: object):
+    assert isinstance(snapshot, _MethodsSnapshot)
+    snapshot.restore()
+
+
+def instrument_generate_content(
+    telemetry_handler: TelemetryHandler,
+    generate_content_config_key_allowlist: AllowList,
+) -> object:
+    os.environ.setdefault("OTEL_INSTRUMENTATION_GENAI_EMIT_EVENT", "true")
+    snapshot = _MethodsSnapshot()
+    wrapped = wrap_function_wrapper(
+        "google.genai.models",
+        "Models.generate_content",
+        _create_instrumented_generate_content(
+            telemetry_handler,
+            generate_content_config_key_allowlist,
+        ),
+    )
+    wrapped2 = wrap_function_wrapper(
+        "google.genai.models",
+        "Models.generate_content_stream",
+        _create_instrumented_generate_content_stream(
+            telemetry_handler,
+            generate_content_config_key_allowlist,
+        ),
+    )
+    wrapped3 = wrap_function_wrapper(
+        "google.genai.models",
+        "AsyncModels.generate_content",
+        _create_instrumented_async_generate_content(
+            telemetry_handler,
+            generate_content_config_key_allowlist,
+        ),
+    )
+    wrapped4 = wrap_function_wrapper(
+        "google.genai.models",
+        "AsyncModels.generate_content_stream",
+        _create_instrumented_async_generate_content_stream(
+            telemetry_handler,
+            generate_content_config_key_allowlist,
+        ),
+    )
+    _set_co_filename(wrapped)
+    _set_co_filename(wrapped2)
+    _set_co_filename(wrapped3)
+    _set_co_filename(wrapped4)
+    return snapshot
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/instrumentor.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/instrumentor.py
new file mode 100644
index 000000000..815deb153
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/instrumentor.py
@@ -0,0 +1,91 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+from typing import Any, Collection, Optional
+
+from opentelemetry._logs import get_logger_provider
+from opentelemetry.instrumentation.instrumentor import BaseInstrumentor
+from opentelemetry.metrics import get_meter_provider
+from opentelemetry.trace import get_tracer_provider
+from opentelemetry.util.genai.completion_hook import load_completion_hook
+
+from ._compat import TelemetryHandler
+from .allowlist_util import AllowList
+from .embeddings import (
+    instrument_embeddings,
+    uninstrument_embeddings,
+)
+from .generate_content import (
+    instrument_generate_content,
+    uninstrument_generate_content,
+)
+from .interactions import (
+    instrument_interactions,
+    uninstrument_interactions,
+)
+
+
+class GoogleGenAiSdkInstrumentor(BaseInstrumentor):
+    def __init__(
+        self, generate_content_config_key_allowlist: Optional[AllowList] = None
+    ):
+        self._generate_content_snapshot = None
+        self._interactions_snapshot = None
+        self._embedding_snapshot = None
+        self._generate_content_config_key_allowlist = (
+            generate_content_config_key_allowlist
+            or AllowList.from_env(
+                "OTEL_GOOGLE_GENAI_GENERATE_CONTENT_CONFIG_INCLUDES",
+                excludes_env_var="OTEL_GOOGLE_GENAI_GENERATE_CONTENT_CONFIG_EXCLUDES",
+            )
+        )
+
+    # Inherited, abstract function from 'BaseInstrumentor'. Even though 'self' is
+    # not used in the definition, a method is required per the API contract.
+    def instrumentation_dependencies(self) -> Collection[str]:  # pylint: disable=no-self-use
+        return ["google-genai>=1.32.0,<3"]
+
+    def _instrument(self, **kwargs: Any):
+        tracer_provider = (
+            kwargs.get("tracer_provider") or get_tracer_provider()
+        )
+        logger_provider = (
+            kwargs.get("logger_provider") or get_logger_provider()
+        )
+        meter_provider = kwargs.get("meter_provider") or get_meter_provider()
+        completion_hook = (
+            kwargs.get("completion_hook") or load_completion_hook()
+        )
+        telemetry_handler = TelemetryHandler(
+            tracer_provider=tracer_provider,
+            meter_provider=meter_provider,
+            logger_provider=logger_provider,
+            completion_hook=completion_hook,
+        )
+        self._generate_content_snapshot = instrument_generate_content(
+            telemetry_handler,
+            generate_content_config_key_allowlist=self._generate_content_config_key_allowlist,
+        )
+        self._interactions_snapshot = instrument_interactions(
+            telemetry_handler,
+        )
+        self._embedding_snapshot = instrument_embeddings(telemetry_handler)
+
+    def _uninstrument(self, **kwargs: Any):
+        uninstrument_generate_content(self._generate_content_snapshot)
+        uninstrument_interactions(self._interactions_snapshot)
+        uninstrument_embeddings(self._embedding_snapshot)
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/interactions.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/interactions.py
new file mode 100644
index 000000000..d8ab07cac
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/interactions.py
@@ -0,0 +1,592 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+from collections.abc import AsyncIterable, Callable, Iterable, Sequence
+from dataclasses import dataclass
+from typing import Any, Dict, List, Optional, Tuple, Union, cast
+
+try:
+    # Google GenAI < 2.9.0
+    from google.genai._interactions._streaming import Stream
+    from google.genai._interactions.resources.interactions import (
+        AsyncInteractionsResource,
+        InteractionsResource,
+    )
+    from google.genai._interactions.types.interaction import Interaction, Usage
+    from google.genai._interactions.types.interaction_create_params import (
+        Input,
+    )
+    from google.genai._interactions.types.interaction_sse_event import (
+        InteractionSSEEvent,
+    )
+
+    _HAS_INTERACTIONS = True
+except ImportError:
+    try:
+        # Google GenAI >= 2.9.0
+        from google.genai._gaos.interactions import (
+            AsyncInteractions as AsyncInteractionsResource,
+        )
+        from google.genai._gaos.interactions import (
+            Interactions as InteractionsResource,
+        )
+        from google.genai._gaos.interactions import (
+            Stream,
+        )
+        from google.genai._gaos.types.interactions import (
+            Interaction,
+            InteractionSSEEvent,
+            Usage,
+        )
+        from google.genai._gaos.types.interactions import (
+            InteractionsInput as Input,
+        )
+
+        _HAS_INTERACTIONS = True
+    except ImportError:
+        _HAS_INTERACTIONS = False
+
+        # Placeholders for older versions where interactions are not supported
+        class InteractionsResource:
+            create = None
+
+        class AsyncInteractionsResource:
+            create = None
+
+        class Interaction:
+            model = None
+            usage = None
+
+        class Usage:
+            total_input_tokens = None
+            total_output_tokens = None
+            total_thought_tokens = None
+
+        class Input:
+            pass
+
+        class InteractionSSEEvent:
+            pass
+
+        class Stream:
+            pass
+
+
+from wrapt import wrap_function_wrapper
+
+from opentelemetry.instrumentation.google_genai.client_info import (
+    get_client_info as _get_client_info,
+)
+from opentelemetry.semconv._incubating.attributes import (
+    gen_ai_attributes as GenAIAttributes,
+)
+from opentelemetry.util.genai import hook_advice
+from opentelemetry.util.genai.types import (
+    InputMessage,
+    OutputMessage,
+    Text,
+    ToolCallResponse,
+    Uri,
+)
+from opentelemetry.util.genai.types import (
+    ToolCall as ToolCallRequest,
+)
+
+from ._compat import (
+    GenericPart,
+    InferenceInvocation,
+    TelemetryHandler,
+)
+from ._stream import (
+    AsyncStreamWrapper,
+    SyncStreamWrapper,
+)
+
+
+class _InteractionsMethodsSnapshot:
+    def __init__(self) -> None:
+        self._original_create = InteractionsResource.create
+        self._original_create_code = InteractionsResource.create.__code__
+        self._original_async_create = AsyncInteractionsResource.create
+        self._original_async_create_code = (
+            AsyncInteractionsResource.create.__code__
+        )
+
+    def restore(self) -> None:
+        self._original_create.__code__ = self._original_create_code
+        self._original_async_create.__code__ = self._original_async_create_code
+
+        InteractionsResource.create = self._original_create
+        AsyncInteractionsResource.create = self._original_async_create
+
+
+# Magic incantation used by native Google ADK instrumentation to identify
+# instrumented functions and suppress its own internal tracing when OTel is active.
+def _set_co_filename(wrapped: object) -> None:
+    wrapped.__wrapped__.__code__ = wrapped.__wrapped__.__code__.replace(
+        co_filename=__file__.replace("\\", "/")
+    )
+
+
+def _apply_interaction_response_attributes(
+    response: Interaction,
+    invocation: InferenceInvocation,
+    telemetry_handler: TelemetryHandler,
+) -> None:
+    invocation.response_model_name = response.model
+
+    usage = response.usage or Usage()
+
+    invocation.input_tokens = getattr(usage, "total_input_tokens", None)
+    invocation.output_tokens = getattr(usage, "total_output_tokens", None)
+    invocation.thinking_tokens = getattr(usage, "total_thought_tokens", None)
+    invocation.cache_read_input_tokens = getattr(
+        usage, "total_cached_tokens", None
+    )
+
+    if telemetry_handler.should_capture_content():
+        invocation.output_messages = _interactions_response_to_messages(
+            response
+        )
+
+
+def _get_field(obj: Any, name: str) -> Any:
+    if isinstance(obj, dict):
+        return obj.get(name)
+    return getattr(obj, name, None)
+
+
+# Logic for parsing Input is tricky:
+# https://github.com/open-telemetry/donation-openinference/blob/6cdd644d79fccf50aedcb614187f924ddfcafb7b/python/instrumentation/openinference-instrumentation-google-genai/src/openinference/instrumentation/google_genai/interactions_attributes.py#L103
+# It doesn't make sense for this to be a List[InputMessage] (per semconv),
+# because this API doesn't take conversation history as input (unlike the generate_content API).
+# Conversation history is stored server-side and referenced via a interaction ID parameter.
+def _interactions_input_to_messages(
+    input_data: Optional[Input],
+) -> List[InputMessage]:
+    # None will end up raising an exception by the SDK
+    if input_data is None:
+        return []
+    if isinstance(input_data, str):
+        return [InputMessage(role="user", parts=[Text(content=input_data)])]
+
+    if not isinstance(input_data, Sequence):
+        input_data = [input_data]
+
+    parts = []
+    for item in input_data:
+        item_type = _get_field(item, "type")
+        if item_type == "function_call":
+            call_id = _get_field(item, "id")
+            name = _get_field(item, "name")
+            arguments = _get_field(item, "arguments")
+            part = ToolCallRequest(
+                id=call_id, name=name or "", arguments=arguments
+            )
+            parts.append(part)
+        elif item_type == "function_result":
+            call_id = _get_field(item, "call_id")
+            result = _get_field(item, "result")
+            part = ToolCallResponse(id=call_id, response=result)
+            parts.append(part)
+        elif isinstance(item, str):
+            parts.append(Text(content=item))
+        elif item_type == "text":
+            part = Text(content=_get_field(item, "text") or "")
+            parts.append(part)
+        elif item_type == "document":
+            part = Uri(
+                mime_type=_get_field(item, "mime_type"),
+                modality="document",
+                uri=_get_field(item, "uri") or "",
+            )
+            parts.append(part)
+        elif item_type is not None:
+            part = GenericPart(value=type(item).__name__)
+            parts.append(part)
+
+    return [InputMessage(role="user", parts=parts)]
+
+
+def _get_interaction_output_text(interaction: Interaction) -> str:
+    if getattr(interaction, "output_text", None):
+        return interaction.output_text
+
+    texts = []
+    if interaction.steps:
+        for step in interaction.steps:
+            if getattr(step, "type", None) == "model_output":
+                content = getattr(step, "content", None)
+                if content:
+                    for item in content:
+                        if getattr(item, "type", None) == "text" and hasattr(
+                            item, "text"
+                        ):
+                            texts.append(item.text)
+    return "".join(texts)
+
+
+# It doesn't make sense for this to be a list of OutputMessage (per semconv),
+# because this API doesn't return conversation history as output (unlike the generate_content API).
+# Model's response is returned as a list of steps:
+# https://ai.google.dev/gemini-api/docs/migrate-to-interactions#basic-input-output
+# https://ai.google.dev/api/interactions-api#Resource:Step
+def _interactions_response_to_messages(
+    interaction: Interaction,
+) -> List[OutputMessage]:
+    output_text = _get_interaction_output_text(interaction)
+    return [
+        OutputMessage(
+            role="assistant",
+            parts=[Text(content=output_text)],
+            finish_reason="stop",
+        )
+    ]
+
+
+class InteractionsStreamWrapper(SyncStreamWrapper[InteractionSSEEvent]):
+    def __init__(
+        self,
+        stream: Iterable[InteractionSSEEvent],
+        invocation: InferenceInvocation,
+        telemetry_handler: TelemetryHandler,
+    ) -> None:
+        super().__init__(stream)
+        self._self_invocation = invocation
+        self._self_telemetry_handler = telemetry_handler
+        self._self_last_interaction: Optional[Interaction] = None
+
+    def _process_chunk(self, chunk: InteractionSSEEvent) -> None:
+        self._self_invocation.record_first_token()
+        event_type = _get_field(chunk, "event_type")
+        if event_type in ("interaction_completed", "interaction.completed"):
+            interaction = _get_field(chunk, "interaction")
+            if interaction:
+                self._self_last_interaction = interaction
+
+    def _on_stream_end(self) -> None:
+        try:
+            if self._self_last_interaction:
+                _apply_interaction_response_attributes(
+                    self._self_last_interaction,
+                    self._self_invocation,
+                    self._self_telemetry_handler,
+                )
+        finally:
+            self._self_invocation.stop()
+
+    def _on_stream_error(self, error: BaseException) -> None:
+        self._self_invocation.fail(error)
+
+
+class AsyncInteractionsStreamWrapper(AsyncStreamWrapper[InteractionSSEEvent]):
+    def __init__(
+        self,
+        stream: AsyncIterable[InteractionSSEEvent],
+        invocation: InferenceInvocation,
+        telemetry_handler: TelemetryHandler,
+    ) -> None:
+        super().__init__(stream)
+        self._self_invocation = invocation
+        self._self_telemetry_handler = telemetry_handler
+        self._self_last_interaction: Optional[Interaction] = None
+
+    def _process_chunk(self, chunk: InteractionSSEEvent) -> None:
+        self._self_invocation.record_first_token()
+        event_type = _get_field(chunk, "event_type")
+        if event_type in ("interaction_completed", "interaction.completed"):
+            interaction = _get_field(chunk, "interaction")
+            if interaction:
+                self._self_last_interaction = interaction
+
+    def _on_stream_end(self) -> None:
+        try:
+            if self._self_last_interaction:
+                _apply_interaction_response_attributes(
+                    self._self_last_interaction,
+                    self._self_invocation,
+                    self._self_telemetry_handler,
+                )
+        finally:
+            self._self_invocation.stop()
+
+    def _on_stream_error(self, error: BaseException) -> None:
+        self._self_invocation.fail(error)
+
+
+@dataclass
+class _InteractionsAdviceState:
+    invocation: InferenceInvocation
+    is_stream: bool
+
+
+@hook_advice("google-genai", "prepare_interactions")
+def _prepare_interactions_advice(
+    telemetry_handler: TelemetryHandler,
+    instance: Any,
+    kwargs: Dict[str, Any],
+) -> _InteractionsAdviceState:
+    invocation = None
+    try:
+        is_vertex, server_address = _get_client_info(instance)
+        invocation = telemetry_handler.inference(
+            provider=(
+                GenAIAttributes.GenAiSystemValues.VERTEX_AI.value
+                if is_vertex
+                else GenAIAttributes.GenAiSystemValues.GEMINI.value
+            ),
+            request_model=kwargs.get("model") or kwargs.get("agent"),
+            operation_name="interactions.create",
+            server_address=server_address,
+        )
+        if telemetry_handler.should_capture_content():
+            invocation.input_messages = _interactions_input_to_messages(
+                kwargs.get("input")
+            )
+            if system_instruction := kwargs.get("system_instruction"):
+                invocation.system_instruction = [
+                    Text(content=system_instruction)
+                ]
+        return _InteractionsAdviceState(
+            invocation=invocation,
+            is_stream=bool(kwargs.get("stream", False)),
+        )
+    except Exception:
+        if invocation is not None:
+            telemetry_handler.abandon_inference(invocation)
+        raise
+
+
+@hook_advice("google-genai", "complete_interactions")
+def _complete_interactions_advice(
+    telemetry_handler: TelemetryHandler,
+    state: _InteractionsAdviceState,
+    response: Interaction,
+) -> None:
+    try:
+        _apply_interaction_response_attributes(
+            response,
+            state.invocation,
+            telemetry_handler,
+        )
+    finally:
+        state.invocation.stop()
+
+
+@hook_advice("google-genai", "fail_interactions")
+def _fail_interactions_advice(
+    state: _InteractionsAdviceState,
+    error: BaseException,
+) -> None:
+    state.invocation.fail(error)
+
+
+@hook_advice("google-genai", "detach_interactions_stream_context")
+def _detach_interactions_stream_context_advice(
+    telemetry_handler: TelemetryHandler,
+    state: _InteractionsAdviceState,
+) -> bool:
+    telemetry_handler.detach_inference_context(state.invocation)
+    return True
+
+
+@hook_advice("google-genai", "abandon_interactions")
+def _abandon_interactions_advice(
+    telemetry_handler: TelemetryHandler,
+    state: _InteractionsAdviceState,
+) -> None:
+    telemetry_handler.abandon_inference(state.invocation)
+
+
+@hook_advice("google-genai", "wrap_interactions_stream")
+def _wrap_interactions_stream_advice(
+    stream: Any,
+    state: _InteractionsAdviceState,
+    telemetry_handler: TelemetryHandler,
+    *,
+    asynchronous: bool,
+) -> Any:
+    wrapper_type = (
+        AsyncInteractionsStreamWrapper
+        if asynchronous
+        else InteractionsStreamWrapper
+    )
+    return wrapper_type(
+        stream,
+        state.invocation,
+        telemetry_handler,
+    )
+
+
+def _create_instrumented_interactions_create(
+    telemetry_handler: TelemetryHandler,
+) -> Callable[
+    [
+        Callable[..., Union[Interaction, Stream[InteractionSSEEvent]]],
+        InteractionsResource,
+        Tuple[Any, ...],
+        Dict[str, Any],
+    ],
+    Union[Interaction, InteractionsStreamWrapper],
+]:
+    def instrumented_interactions_create(
+        wrapped: Callable[
+            ..., Union[Interaction, Stream[InteractionSSEEvent]]
+        ],
+        instance: InteractionsResource,
+        args: Tuple[Any, ...],
+        kwargs: Dict[str, Any],
+    ) -> Union[Interaction, InteractionsStreamWrapper]:
+        state = _prepare_interactions_advice(
+            telemetry_handler,
+            instance,
+            kwargs,
+        )
+        try:
+            response = wrapped(*args, **kwargs)
+        except BaseException as error:
+            if state is not None:
+                _fail_interactions_advice(state, error)
+            raise
+        if state is None:
+            return response
+        if not state.is_stream:
+            _complete_interactions_advice(
+                telemetry_handler,
+                state,
+                cast(Interaction, response),
+            )
+            return response
+        if not _detach_interactions_stream_context_advice(
+            telemetry_handler,
+            state,
+        ):
+            _abandon_interactions_advice(telemetry_handler, state)
+            return response
+        stream_wrapper = _wrap_interactions_stream_advice(
+            response,
+            state,
+            telemetry_handler,
+            asynchronous=False,
+        )
+        if stream_wrapper is None:
+            _abandon_interactions_advice(telemetry_handler, state)
+            return response
+        return stream_wrapper
+
+    return instrumented_interactions_create
+
+
+def _create_instrumented_async_interactions_create(
+    telemetry_handler: TelemetryHandler,
+) -> Callable[
+    [
+        Callable[..., Any],
+        AsyncInteractionsResource,
+        Tuple[Any, ...],
+        Dict[str, Any],
+    ],
+    Any,
+]:
+    async def instrumented_interactions_create(
+        wrapped: Callable[..., Any],
+        instance: AsyncInteractionsResource,
+        args: Tuple[Any, ...],
+        kwargs: Dict[str, Any],
+    ) -> Union[Interaction, AsyncInteractionsStreamWrapper]:
+        state = _prepare_interactions_advice(
+            telemetry_handler,
+            instance,
+            kwargs,
+        )
+        try:
+            response = await wrapped(*args, **kwargs)
+        except BaseException as error:
+            if state is not None:
+                _fail_interactions_advice(state, error)
+            raise
+        if state is None:
+            return response
+        if not state.is_stream:
+            _complete_interactions_advice(
+                telemetry_handler,
+                state,
+                cast(Interaction, response),
+            )
+            return response
+        if not _detach_interactions_stream_context_advice(
+            telemetry_handler,
+            state,
+        ):
+            _abandon_interactions_advice(telemetry_handler, state)
+            return response
+        stream_wrapper = _wrap_interactions_stream_advice(
+            response,
+            state,
+            telemetry_handler,
+            asynchronous=True,
+        )
+        if stream_wrapper is None:
+            _abandon_interactions_advice(telemetry_handler, state)
+            return response
+        return stream_wrapper
+
+    return instrumented_interactions_create
+
+
+def uninstrument_interactions(snapshot: object) -> None:
+    if snapshot is None:
+        return
+    assert isinstance(snapshot, _InteractionsMethodsSnapshot)
+    snapshot.restore()
+
+
+def instrument_interactions(
+    telemetry_handler: TelemetryHandler,
+) -> Optional[object]:
+    if not _HAS_INTERACTIONS:
+        return None
+
+    snapshot = _InteractionsMethodsSnapshot()
+
+    try:
+        import google.genai._interactions.resources.interactions  # noqa: F401, PLC0415
+
+        module_path = "google.genai._interactions.resources.interactions"
+        sync_class = "InteractionsResource"
+        async_class = "AsyncInteractionsResource"
+    except ImportError:
+        # In version 2.9 of google-genai these were moved.
+        module_path = "google.genai._gaos.interactions"
+        sync_class = "Interactions"
+        async_class = "AsyncInteractions"
+
+    wrapped = wrap_function_wrapper(
+        module_path,
+        f"{sync_class}.create",
+        _create_instrumented_interactions_create(telemetry_handler),
+    )
+    _set_co_filename(wrapped)
+    wrapped2 = wrap_function_wrapper(
+        module_path,
+        f"{async_class}.create",
+        _create_instrumented_async_interactions_create(telemetry_handler),
+    )
+    _set_co_filename(wrapped2)
+    return snapshot
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/message.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/message.py
new file mode 100644
index 000000000..dd6bf2738
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/message.py
@@ -0,0 +1,305 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass, field
+from enum import Enum
+from typing import Any, Dict, List, Optional, Tuple, Union
+
+from google.genai import types as genai_types
+
+from opentelemetry.util.genai.types import (
+    Blob,
+    FinishReason,
+    InputMessage,
+    MessagePart,
+    OutputMessage,
+    Reasoning,
+    Text,
+    ToolCallResponse,
+    Uri,
+)
+from opentelemetry.util.genai.types import (
+    ToolCall as ToolCallRequest,
+)
+
+
+class Role(str, Enum):
+    SYSTEM = "system"
+    USER = "user"
+    ASSISTANT = "assistant"
+    TOOL = "tool"
+
+
+_logger = logging.getLogger(__name__)
+
+
+@dataclass
+class _StreamCandidateState:
+    role: str = ""
+    finish_reason: Union[FinishReason, str] = ""
+    parts: List[MessagePart] = field(default_factory=list)
+    position_slots: Dict[int, Tuple[int, str]] = field(default_factory=dict)
+
+
+class StreamOutputMessageAccumulator:
+    """Merge Google GenAI streaming candidates into logical output messages."""
+
+    def __init__(self) -> None:
+        self._candidate_states: Dict[int, _StreamCandidateState] = {}
+
+    def add_candidates(
+        self,
+        candidates: List[genai_types.Candidate],
+    ) -> None:
+        for fallback_index, candidate in enumerate(candidates):
+            candidate_index = candidate.index
+            if not isinstance(candidate_index, int):
+                candidate_index = fallback_index
+            state = self._candidate_states.setdefault(
+                candidate_index,
+                _StreamCandidateState(),
+            )
+            self._add_candidate(state, candidate)
+
+    def to_output_messages(self) -> List[OutputMessage]:
+        messages = []
+        for candidate_index in sorted(self._candidate_states):
+            state = self._candidate_states[candidate_index]
+            if not state.parts:
+                continue
+            messages.append(
+                OutputMessage(
+                    role=state.role,
+                    parts=state.parts,
+                    finish_reason=state.finish_reason,
+                )
+            )
+        return messages
+
+    @staticmethod
+    def _add_candidate(
+        state: _StreamCandidateState,
+        candidate: genai_types.Candidate,
+    ) -> None:
+        finish_reason = _to_finish_reason(candidate.finish_reason)
+        if finish_reason:
+            state.finish_reason = finish_reason
+
+        content = candidate.content
+        if content is None:
+            return
+        role = _to_role(content.role)
+        if role:
+            state.role = role
+
+        for position, provider_part in enumerate(content.parts or []):
+            part = _to_part(provider_part, position)
+            if part is None:
+                continue
+            part_kind = getattr(part, "type", type(part).__name__)
+            previous = state.position_slots.get(position)
+            if previous is not None:
+                slot, previous_kind = previous
+                if previous_kind == part_kind and _merge_stream_parts(
+                    state.parts[slot],
+                    part,
+                ):
+                    continue
+
+            slot = len(state.parts)
+            state.parts.append(part)
+            state.position_slots[position] = (slot, part_kind)
+
+
+def _merge_stream_parts(existing: MessagePart, incoming: MessagePart) -> bool:
+    if isinstance(existing, Text) and isinstance(incoming, Text):
+        existing.content += incoming.content
+        return True
+    if isinstance(existing, Reasoning) and isinstance(incoming, Reasoning):
+        existing.content += incoming.content
+        return True
+    if isinstance(existing, ToolCallRequest) and isinstance(
+        incoming, ToolCallRequest
+    ):
+        if (existing.id and incoming.id and existing.id != incoming.id) or (
+            existing.name and incoming.name and existing.name != incoming.name
+        ):
+            return False
+        existing.id = incoming.id or existing.id
+        existing.name = incoming.name or existing.name
+        existing.arguments = _merge_stream_values(
+            existing.arguments,
+            incoming.arguments,
+        )
+        return True
+    if isinstance(existing, ToolCallResponse) and isinstance(
+        incoming, ToolCallResponse
+    ):
+        if existing.id and incoming.id and existing.id != incoming.id:
+            return False
+        existing.id = incoming.id or existing.id
+        existing.response = _merge_stream_values(
+            existing.response,
+            incoming.response,
+        )
+        return True
+    if isinstance(existing, Blob) and isinstance(incoming, Blob):
+        return existing == incoming
+    if isinstance(existing, Uri) and isinstance(incoming, Uri):
+        return existing == incoming
+    return False
+
+
+def _merge_stream_values(existing: Any, incoming: Any) -> Any:
+    if incoming in (None, "", {}, []):
+        return existing
+    if existing in (None, "", {}, []):
+        return incoming
+    if isinstance(existing, dict) and isinstance(incoming, dict):
+        return {**existing, **incoming}
+    if isinstance(existing, str) and isinstance(incoming, str):
+        return existing + incoming
+    return incoming
+
+
+def to_input_messages(
+    *,
+    contents: List[genai_types.Content],
+) -> List[InputMessage]:
+    return [_to_input_message(content) for content in contents]
+
+
+def to_output_messages(
+    *,
+    candidates: List[genai_types.Candidate],
+) -> List[OutputMessage]:
+    def content_to_output_message(
+        candidate: genai_types.Candidate,
+    ) -> Optional[OutputMessage]:
+        if not candidate.content:
+            return None
+
+        message = _to_input_message(candidate.content)
+        return OutputMessage(
+            finish_reason=_to_finish_reason(candidate.finish_reason),
+            role=message.role,
+            parts=message.parts,
+        )
+
+    messages = (
+        content_to_output_message(candidate) for candidate in candidates
+    )
+    return [message for message in messages if message is not None]
+
+
+def to_system_instructions(
+    *,
+    content: genai_types.Content,
+) -> List[MessagePart]:
+    parts = (
+        _to_part(part, idx) for idx, part in enumerate(content.parts or [])
+    )
+    return [part for part in parts if part is not None]
+
+
+def _to_input_message(
+    content: genai_types.Content,
+) -> InputMessage:
+    parts = (
+        _to_part(part, idx) for idx, part in enumerate(content.parts or [])
+    )
+    return InputMessage(
+        role=_to_role(content.role),
+        # filter Nones
+        parts=[part for part in parts if part is not None],
+    )
+
+
+def _to_part(part: genai_types.Part, idx: int) -> Optional[MessagePart]:
+    def tool_call_id(name: Optional[str]) -> str:
+        if name:
+            return f"{name}_{idx}"
+        return f"{idx}"
+
+    if (text := part.text) is not None:
+        if getattr(part, "thought", False):
+            return Reasoning(content=text)
+        return Text(content=text)
+
+    if inline_data := part.inline_data:
+        mime_type = inline_data.mime_type or ""
+        modality = mime_type.split("/")[0] if mime_type else ""
+        return Blob(
+            mime_type=mime_type,
+            modality=modality,
+            content=inline_data.data or b"",
+        )
+
+    if file_data := part.file_data:
+        mime_type = file_data.mime_type or ""
+        modality = mime_type.split("/")[0] if mime_type else ""
+        return Uri(
+            mime_type=mime_type,
+            modality=modality,
+            uri=file_data.file_uri or "",
+        )
+
+    if call := part.function_call:
+        return ToolCallRequest(
+            id=call.id or tool_call_id(call.name),
+            name=call.name or "",
+            arguments=call.args,
+        )
+
+    if response := part.function_response:
+        return ToolCallResponse(
+            id=response.id or tool_call_id(response.name),
+            response=response.response,
+        )
+
+    _logger.info("Unknown part dropped from telemetry %s", part)
+    return None
+
+
+def _to_role(role: Optional[str]) -> str:
+    if role == "user":
+        return Role.USER.value
+    if role == "model":
+        return Role.ASSISTANT.value
+    return ""
+
+
+def _to_finish_reason(
+    finish_reason: Optional[genai_types.FinishReason],
+) -> Union[FinishReason, str]:
+    if finish_reason is None:
+        return ""
+    if (
+        finish_reason is genai_types.FinishReason.FINISH_REASON_UNSPECIFIED
+        or finish_reason is genai_types.FinishReason.OTHER
+    ):
+        return "error"
+    if finish_reason is genai_types.FinishReason.STOP:
+        return "stop"
+    if finish_reason is genai_types.FinishReason.MAX_TOKENS:
+        return "length"
+
+    # If there is no 1:1 mapping to an OTel preferred enum value, use the exact vertex reason
+    return finish_reason.name
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/package.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/package.py
new file mode 100644
index 000000000..7a2718750
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/package.py
@@ -0,0 +1,16 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+_instruments = ("google-genai >= 1.32.0, < 3",)
+_supports_metrics = True
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/tool_call_wrapper.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/tool_call_wrapper.py
new file mode 100644
index 000000000..e1bd6ea85
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/tool_call_wrapper.py
@@ -0,0 +1,201 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+import functools
+import inspect
+import json
+from dataclasses import dataclass
+from typing import Any, Callable, Dict, Optional, Tuple, Union
+
+from google.genai.types import (
+    ToolListUnion,
+    ToolListUnionDict,
+    ToolOrDict,
+)
+
+from opentelemetry.util.genai import hook_advice
+
+from ._compat import TelemetryHandler, ToolInvocation
+
+ToolFunction = Callable[..., Any]
+
+
+@dataclass
+class _ToolAdviceState:
+    invocation: ToolInvocation
+
+
+def _is_primitive(value):
+    return isinstance(value, (str, int, bool, float))
+
+
+def _to_otel_value(python_value):
+    """Coerces parameters to something representable with Open Telemetry."""
+    if python_value is None or _is_primitive(python_value):
+        return python_value
+    if isinstance(python_value, list):
+        return [_to_otel_value(x) for x in python_value]
+    if isinstance(python_value, dict):
+        return {
+            key: _to_otel_value(val) for (key, val) in python_value.items()
+        }
+    if hasattr(python_value, "model_dump"):
+        return python_value.model_dump()
+    if hasattr(python_value, "__dict__"):
+        return _to_otel_value(python_value.__dict__)
+    return repr(python_value)
+
+
+# There is no canonical way to serialize a Python object to a span attribute value.
+# Span attribute values currently must be one of the primitive types, or a homogeneous list of primitive types.
+# In the future the value will be expanded to include None, heterogeneous lists of primitive types, and a Map of these types.
+# See https://github.com/open-telemetry/opentelemetry-specification/pull/4485
+def _get_function_args(wrapped_function, function_args, function_kwargs):
+    """Records the details about a function invocation as span attributes."""
+    function_arg_attr = {}
+    signature = inspect.signature(wrapped_function)
+    params = list(signature.parameters.values())
+    for index, entry in enumerate(function_args):
+        param_name = f"args[{index}]"
+        if index < len(params):
+            param_name = params[index].name
+        function_arg_attr[f"code.function.parameters.{param_name}.type"] = (
+            type(entry).__name__
+        )
+        function_arg_attr[f"code.function.parameters.{param_name}.value"] = (
+            _to_otel_value(entry)
+        )
+    for key, value in function_kwargs.items():
+        function_arg_attr[f"code.function.parameters.{key}.type"] = type(
+            value
+        ).__name__
+        function_arg_attr[f"code.function.parameters.{key}.value"] = (
+            _to_otel_value(value)
+        )
+    return function_arg_attr
+
+
+@hook_advice("google-genai", "prepare_tool")
+def _prepare_tool_advice(
+    tool_function: ToolFunction,
+    telemetry_handler: TelemetryHandler,
+    args: Tuple[Any, ...],
+    kwargs: Dict[str, Any],
+) -> _ToolAdviceState:
+    invocation = None
+    try:
+        invocation = telemetry_handler.tool(
+            tool_function.__name__,
+            tool_description=tool_function.__doc__,
+        )
+        if invocation.should_capture_content_on_span:
+            invocation.arguments = json.dumps(
+                _get_function_args(tool_function, args, kwargs)
+            )
+        return _ToolAdviceState(invocation=invocation)
+    except Exception:
+        if invocation is not None:
+            telemetry_handler.abandon_tool(invocation)
+        raise
+
+
+@hook_advice("google-genai", "complete_tool")
+def _complete_tool_advice(
+    state: _ToolAdviceState,
+    result: Any,
+) -> None:
+    try:
+        if state.invocation.should_capture_content_on_span:
+            state.invocation.tool_result = json.dumps(_to_otel_value(result))
+    finally:
+        state.invocation.stop()
+
+
+@hook_advice("google-genai", "fail_tool")
+def _fail_tool_advice(
+    state: _ToolAdviceState,
+    error: BaseException,
+) -> None:
+    state.invocation.fail(error)
+
+
+def _wrap_tool_function(
+    tool_function: ToolFunction,
+    telemetry_handler: TelemetryHandler,
+):
+    if inspect.iscoroutinefunction(tool_function):
+
+        @functools.wraps(tool_function)
+        async def wrapped_function(*args, **kwargs):
+            state = _prepare_tool_advice(
+                tool_function,
+                telemetry_handler,
+                args,
+                kwargs,
+            )
+            try:
+                result = await tool_function(*args, **kwargs)
+            except BaseException as error:
+                if state is not None:
+                    _fail_tool_advice(state, error)
+                raise
+            if state is not None:
+                _complete_tool_advice(state, result)
+            return result
+    else:
+
+        @functools.wraps(tool_function)
+        def wrapped_function(*args, **kwargs):
+            state = _prepare_tool_advice(
+                tool_function,
+                telemetry_handler,
+                args,
+                kwargs,
+            )
+            try:
+                result = tool_function(*args, **kwargs)
+            except BaseException as error:
+                if state is not None:
+                    _fail_tool_advice(state, error)
+                raise
+            if state is not None:
+                _complete_tool_advice(state, result)
+            return result
+
+    return wrapped_function
+
+
+def wrapped_tool(
+    tool_or_tools: Optional[
+        Union[ToolFunction, ToolOrDict, ToolListUnion, ToolListUnionDict]
+    ],
+    telemetry_handler: TelemetryHandler,
+):
+    if tool_or_tools is None:
+        return None
+    if isinstance(tool_or_tools, list):
+        return [
+            wrapped_tool(tool, telemetry_handler) for tool in tool_or_tools
+        ]
+    if isinstance(tool_or_tools, dict):
+        return {
+            key: wrapped_tool(tool, telemetry_handler)
+            for (key, tool) in tool_or_tools.items()
+        }
+    if callable(tool_or_tools):
+        return _wrap_tool_function(tool_or_tools, telemetry_handler)
+    return tool_or_tools
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/version.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/version.py
new file mode 100644
index 000000000..13fdd7e2a
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/src/opentelemetry/instrumentation/google_genai/version.py
@@ -0,0 +1,15 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+__version__ = "0.9.0.dev"
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/__init__.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/__init__.py
new file mode 100644
index 000000000..b0a6f4284
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/__init__.py
@@ -0,0 +1,13 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_async_embed_content.yaml b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_async_embed_content.yaml
new file mode 100644
index 000000000..9d7d9cd93
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_async_embed_content.yaml
@@ -0,0 +1,54 @@
+interactions:
+- request:
+    body: '{"requests": [{"content": {"parts": [{"text": "LoongSuite async embedding
+      verification"}], "role": "user"}, "outputDimensionality": 8, "model": "models/gemini-embedding-001"}]}'
+    headers:
+      accept:
+      - '*/*'
+      accept-encoding:
+      - gzip, deflate
+      connection:
+      - keep-alive
+      content-length:
+      - '176'
+      content-type:
+      - application/json
+      host:
+      - generativelanguage.googleapis.com
+      user-agent:
+      - google-genai-sdk/2.14.0 gl-python/3.12.10
+      x-goog-api-client:
+      - google-genai-sdk/2.14.0 gl-python/3.12.10
+      x-goog-api-key:
+      - test-google-key
+    method: POST
+    uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-embedding-001:batchEmbedContents
+  response:
+    body:
+      string: "{\n  \"embeddings\": [\n    {\n      \"values\": [\n        -0.012145887,\n
+        \       0.027226992,\n        -0.010417095,\n        -0.10146105,\n        -0.010073216,\n
+        \       -0.021136053,\n        0.003264262,\n        0.009064443\n      ]\n
+        \   }\n  ]\n}\n"
+    headers:
+      alt-svc:
+      - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
+      content-length:
+      - '235'
+      content-type:
+      - application/json; charset=UTF-8
+      transfer-encoding:
+      - chunked
+      vary:
+      - Origin
+      - X-Origin
+      - Referer
+      x-content-type-options:
+      - nosniff
+      x-frame-options:
+      - SAMEORIGIN
+      x-xss-protection:
+      - '0'
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_async_generate_content.yaml b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_async_generate_content.yaml
new file mode 100644
index 000000000..c7ec46874
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_async_generate_content.yaml
@@ -0,0 +1,61 @@
+interactions:
+- request:
+    body: '{"contents": [{"parts": [{"text": "Reply with exactly: async ok"}], "role":
+      "user"}]}'
+    headers:
+      accept:
+      - '*/*'
+      accept-encoding:
+      - gzip, deflate
+      connection:
+      - keep-alive
+      content-length:
+      - '85'
+      content-type:
+      - application/json
+      host:
+      - generativelanguage.googleapis.com
+      user-agent:
+      - google-genai-sdk/2.14.0 gl-python/3.12.10
+      x-goog-api-client:
+      - google-genai-sdk/2.14.0 gl-python/3.12.10
+      x-goog-api-key:
+      - test-google-key
+    method: POST
+    uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash-lite:generateContent
+  response:
+    body:
+      string: "{\n  \"candidates\": [\n    {\n      \"content\": {\n        \"parts\":
+        [\n          {\n            \"text\": \"async ok\",\n            \"thoughtSignature\":
+        \"dGVzdC10aG91Z2h0LXNpZ25hdHVyZQ==\"\n          }\n        ],\n        \"role\": \"model\"\n
+        \     },\n      \"finishReason\": \"STOP\",\n      \"index\": 0\n    }\n  ],\n
+        \ \"usageMetadata\": {\n    \"promptTokenCount\": 7,\n    \"candidatesTokenCount\":
+        2,\n    \"totalTokenCount\": 9,\n    \"promptTokensDetails\": [\n      {\n
+        \       \"modality\": \"TEXT\",\n        \"tokenCount\": 7\n      }\n    ],\n
+        \   \"serviceTier\": \"standard\"\n  },\n  \"modelVersion\": \"gemini-3.5-flash-lite\",\n
+        \ \"responseId\": \"XpJhatfQA5eHqtsPppLq8Qw\"\n}\n"
+    headers:
+      alt-svc:
+      - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
+      content-length:
+      - '660'
+      content-type:
+      - application/json; charset=UTF-8
+      transfer-encoding:
+      - chunked
+      vary:
+      - Origin
+      - X-Origin
+      - Referer
+      x-content-type-options:
+      - nosniff
+      x-frame-options:
+      - SAMEORIGIN
+      x-gemini-service-tier:
+      - standard
+      x-xss-protection:
+      - '0'
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_async_generate_content_stream.yaml b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_async_generate_content_stream.yaml
new file mode 100644
index 000000000..f1f6c3f54
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_async_generate_content_stream.yaml
@@ -0,0 +1,65 @@
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diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_async_interactions_create.yaml b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_async_interactions_create.yaml
new file mode 100644
index 000000000..f6f1630c4
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_async_interactions_create.yaml
@@ -0,0 +1,52 @@
+interactions:
+- request:
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diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_async_interactions_create_stream.yaml b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_async_interactions_create_stream.yaml
new file mode 100644
index 000000000..3f8c830db
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_async_interactions_create_stream.yaml
@@ -0,0 +1,106 @@
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+- request:
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+
+
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+
+
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+
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diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_automatic_function_call.yaml b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_automatic_function_call.yaml
new file mode 100644
index 000000000..bcb5df075
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_automatic_function_call.yaml
@@ -0,0 +1,134 @@
+interactions:
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+    method: POST
+    uri: https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash-lite:generateContent
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diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_sync_embed_content.yaml b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_sync_embed_content.yaml
new file mode 100644
index 000000000..d348cdd23
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_sync_embed_content.yaml
@@ -0,0 +1,54 @@
+interactions:
+- request:
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diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_sync_generate_content.yaml b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_sync_generate_content.yaml
new file mode 100644
index 000000000..17586a55e
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_sync_generate_content.yaml
@@ -0,0 +1,61 @@
+interactions:
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diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_sync_generate_content_stream.yaml b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_sync_generate_content_stream.yaml
new file mode 100644
index 000000000..9673f01e7
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_sync_generate_content_stream.yaml
@@ -0,0 +1,65 @@
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+        [{\"modality\": \"TEXT\",\"tokenCount\": 8}],\"serviceTier\": \"standard\"},\"modelVersion\":
+        \"gemini-3.5-flash-lite\",\"responseId\": \"XJJhaoiZBNuLqtsPuMm82AI\"}\r\n\r\ndata:
+        {\"candidates\": [{\"content\": {\"parts\": [{\"text\": \" ok\"}],\"role\":
+        \"model\"},\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\": 8,\"candidatesTokenCount\":
+        3,\"totalTokenCount\": 11,\"promptTokensDetails\": [{\"modality\": \"TEXT\",\"tokenCount\":
+        8}],\"serviceTier\": \"standard\"},\"modelVersion\": \"gemini-3.5-flash-lite\",\"responseId\":
+        \"XJJhaoiZBNuLqtsPuMm82AI\"}\r\n\r\ndata: {\"candidates\": [{\"content\":
+        {\"parts\": [{\"text\": \"\",\"thoughtSignature\": \"dGVzdC10aG91Z2h0LXNpZ25hdHVyZQ==\"}],\"role\":
+        \"model\"},\"finishReason\": \"STOP\",\"index\": 0}],\"usageMetadata\": {\"promptTokenCount\":
+        8,\"candidatesTokenCount\": 3,\"totalTokenCount\": 11,\"promptTokensDetails\":
+        [{\"modality\": \"TEXT\",\"tokenCount\": 8}],\"serviceTier\": \"standard\"},\"modelVersion\":
+        \"gemini-3.5-flash-lite\",\"responseId\": \"XJJhaoiZBNuLqtsPuMm82AI\"}\r\n\r\n"
+    headers:
+      alt-svc:
+      - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
+      content-disposition:
+      - attachment
+      content-type:
+      - text/event-stream
+      transfer-encoding:
+      - chunked
+      vary:
+      - Origin
+      - X-Origin
+      - Referer
+      x-content-type-options:
+      - nosniff
+      x-frame-options:
+      - SAMEORIGIN
+      x-xss-protection:
+      - '0'
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_sync_interactions_create.yaml b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_sync_interactions_create.yaml
new file mode 100644
index 000000000..3f25b6a5c
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_sync_interactions_create.yaml
@@ -0,0 +1,52 @@
+interactions:
+- request:
+    body: '{"model": "gemini-3.5-flash-lite", "input": "Reply with exactly: interaction
+      ok"}'
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate
+      connection:
+      - keep-alive
+      content-length:
+      - '78'
+      content-type:
+      - application/json
+      host:
+      - generativelanguage.googleapis.com
+      user-agent:
+      - speakeasy-sdk/python 2.4.1-preview.5 2.918.3 v1beta google-genai
+      x-goog-api-client:
+      - google-genai-sdk/2.14.0 gl-python/3.12.10
+      x-goog-api-key:
+      - test-google-key
+    method: POST
+    uri: https://generativelanguage.googleapis.com/v1beta/interactions
+  response:
+    body:
+      string: '{"id":"v1_ChdBOUppYXY2SEw2bUlxdHNQN3BUQmdRYxIXQTlKaWF2NkhMNm1JcXRzUDdwVEJnUWM","status":"completed","usage":{"total_tokens":9,"total_input_tokens":7,"input_tokens_by_modality":[{"modality":"text","tokens":7}],"total_cached_tokens":0,"total_output_tokens":2,"total_tool_use_tokens":0,"total_thought_tokens":0},"created":"2026-07-24T02:46:27Z","updated":"2026-07-24T02:46:27Z","service_tier":"standard","steps":[{"signature":"dGVzdC10aG91Z2h0LXNpZ25hdHVyZQ==","type":"thought"},{"content":[{"text":"interaction
+        ok","type":"text"}],"type":"model_output"}],"object":"interaction","model":"gemini-3.5-flash-lite"}'
+    headers:
+      alt-svc:
+      - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
+      content-length:
+      - '648'
+      content-type:
+      - application/json
+      transfer-encoding:
+      - chunked
+      vary:
+      - Origin
+      - X-Origin
+      - Referer
+      x-content-type-options:
+      - nosniff
+      x-frame-options:
+      - SAMEORIGIN
+      x-xss-protection:
+      - '0'
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_sync_interactions_create_stream.yaml b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_sync_interactions_create_stream.yaml
new file mode 100644
index 000000000..b857f09ab
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/cassettes/test_sync_interactions_create_stream.yaml
@@ -0,0 +1,106 @@
+interactions:
+- request:
+    body: '{"model": "gemini-3.5-flash-lite", "input": "Reply with exactly: interaction
+      stream ok", "stream": true}'
+    headers:
+      accept:
+      - text/event-stream
+      accept-encoding:
+      - gzip, deflate
+      connection:
+      - keep-alive
+      content-length:
+      - '99'
+      content-type:
+      - application/json
+      host:
+      - generativelanguage.googleapis.com
+      user-agent:
+      - speakeasy-sdk/python 2.4.1-preview.5 2.918.3 v1beta google-genai
+      x-goog-api-client:
+      - google-genai-sdk/2.14.0 gl-python/3.12.10
+      x-goog-api-key:
+      - test-google-key
+    method: POST
+    uri: https://generativelanguage.googleapis.com/v1beta/interactions
+  response:
+    body:
+      string: 'event: interaction.created
+
+        data: {"interaction":{"id":"v1_ChdvdHhpYXFmU0w4V0d6N0lQOTQzanVRaxIXb3R4aWFxZlNMOFdHejdJUDk0M2p1UWs","status":"in_progress","object":"interaction","model":"gemini-3.5-flash-lite"},"event_type":"interaction.created"}
+
+
+        event: interaction.status_update
+
+        data: {"interaction_id":"v1_ChdvdHhpYXFmU0w4V0d6N0lQOTQzanVRaxIXb3R4aWFxZlNMOFdHejdJUDk0M2p1UWs","status":"in_progress","event_type":"interaction.status_update"}
+
+
+        event: step.start
+
+        data: {"index":0,"step":{"type":"thought"},"event_type":"step.start"}
+
+
+        event: step.delta
+
+        data: {"index":0,"delta":{"signature":"dGVzdC10aG91Z2h0LXNpZ25hdHVyZQ==","type":"thought_signature"},"event_type":"step.delta"}
+
+
+        event: step.stop
+
+        data: {"index":0,"event_type":"step.stop"}
+
+
+        event: step.start
+
+        data: {"index":1,"step":{"type":"model_output"},"event_type":"step.start"}
+
+
+        event: step.delta
+
+        data: {"index":1,"delta":{"text":"interaction stream","type":"text"},"event_type":"step.delta"}
+
+
+        event: step.delta
+
+        data: {"index":1,"delta":{"text":" ok","type":"text"},"event_type":"step.delta"}
+
+
+        event: step.stop
+
+        data: {"index":1,"event_type":"step.stop"}
+
+
+        event: interaction.completed
+
+        data: {"interaction":{"id":"v1_ChdvdHhpYXFmU0w4V0d6N0lQOTQzanVRaxIXb3R4aWFxZlNMOFdHejdJUDk0M2p1UWs","status":"completed","usage":{"total_tokens":11,"total_input_tokens":8,"input_tokens_by_modality":[{"modality":"text","tokens":8}],"total_cached_tokens":0,"total_output_tokens":3,"total_tool_use_tokens":0,"total_thought_tokens":0},"created":"2026-07-24T03:31:47Z","updated":"2026-07-24T03:31:47Z","service_tier":"standard","object":"interaction","model":"gemini-3.5-flash-lite"},"event_type":"interaction.completed"}
+
+
+        event: done
+
+        data: [DONE]
+
+
+        '
+    headers:
+      alt-svc:
+      - h3=":443"; ma=2592000,h3-29=":443"; ma=2592000
+      content-length:
+      - '1719'
+      content-type:
+      - text/event-stream
+      transfer-encoding:
+      - chunked
+      vary:
+      - Origin
+      - X-Origin
+      - Referer
+      x-content-type-options:
+      - nosniff
+      x-frame-options:
+      - SAMEORIGIN
+      x-xss-protection:
+      - '0'
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/common/auth.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/common/auth.py
new file mode 100644
index 000000000..c96a1e020
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/common/auth.py
@@ -0,0 +1,27 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+import google.auth.credentials
+
+
+class FakeCredentials(google.auth.credentials.AnonymousCredentials):
+    def __init__(self):
+        self.token = "a"
+        self._quota_project_id = "a"
+
+    def refresh(self, request):
+        pass
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/common/base.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/common/base.py
new file mode 100644
index 000000000..d7801fc5a
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/common/base.py
@@ -0,0 +1,98 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+import os
+import unittest
+from unittest.mock import patch
+
+import google.genai
+
+from .auth import FakeCredentials
+from .instrumentation_context import InstrumentationContext
+from .otel_mocker import OTelMocker
+
+
+class TestCase(unittest.TestCase):
+    def setUp(self):
+        self.env_patcher = patch.dict(
+            os.environ,
+            {
+                "OTEL_SEMCONV_STABILITY_OPT_IN": "gen_ai_latest_experimental",
+                "OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "SPAN_AND_EVENT",
+            },
+        )
+        self.env_patcher.start()
+        self._otel = OTelMocker()
+        self._otel.install()
+        self._instrumentation_context = None
+        self._api_key = "test-api-key"
+        self._project = "test-project"
+        self._location = "test-location"
+        self._client = None
+        self._uses_vertex = False
+        self._credentials = FakeCredentials()
+        self._instrumentor_args = {}
+
+    def tearDown(self):
+        if self._instrumentation_context is not None:
+            self._instrumentation_context.uninstall()
+            self._instrumentation_context = None
+        self._otel.uninstall()
+        self.env_patcher.stop()
+
+    def _lazy_init(self):
+        self._instrumentation_context = InstrumentationContext(
+            **self._instrumentor_args
+        )
+        self._instrumentation_context.install()
+
+    def set_instrumentor_constructor_kwarg(self, key, value):
+        self._instrumentor_args[key] = value
+
+    @property
+    def client(self):
+        if self._client is None:
+            self._client = self._create_client()
+        return self._client
+
+    @property
+    def otel(self):
+        return self._otel
+
+    def set_use_vertex(self, use_vertex):
+        self._uses_vertex = use_vertex
+
+    def reset_client(self):
+        self._client = None
+
+    def reset_instrumentation(self):
+        if self._instrumentation_context is None:
+            return
+        self._instrumentation_context.uninstall()
+        self._instrumentation_context = None
+
+    def _create_client(self):
+        self._lazy_init()
+        if self._uses_vertex:
+            os.environ["GOOGLE_API_KEY"] = self._api_key
+            return google.genai.Client(
+                vertexai=True,
+                project=self._project,
+                location=self._location,
+                credentials=self._credentials,
+            )
+        return google.genai.Client(vertexai=False, api_key=self._api_key)
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/common/instrumentation_context.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/common/instrumentation_context.py
new file mode 100644
index 000000000..2cfff2b44
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/common/instrumentation_context.py
@@ -0,0 +1,31 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+from opentelemetry.instrumentation.google_genai import (
+    GoogleGenAiSdkInstrumentor,
+)
+
+
+class InstrumentationContext:
+    def __init__(self, **kwargs):
+        self._instrumentor = GoogleGenAiSdkInstrumentor(**kwargs)
+
+    def install(self):
+        self._instrumentor.instrument()
+
+    def uninstall(self):
+        self._instrumentor.uninstrument()
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/common/otel_mocker.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/common/otel_mocker.py
new file mode 100644
index 000000000..68dca8743
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/common/otel_mocker.py
@@ -0,0 +1,240 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+
+import opentelemetry._logs._internal
+import opentelemetry.metrics._internal
+import opentelemetry.trace
+from opentelemetry._logs import (
+    get_logger_provider,
+    set_logger_provider,
+)
+from opentelemetry.metrics import get_meter_provider, set_meter_provider
+from opentelemetry.sdk._logs import LoggerProvider
+
+# Backward compatibility for InMemoryLogExporter -> InMemoryLogRecordExporter rename
+try:
+    from opentelemetry.sdk._logs.export import (  # pylint: disable=no-name-in-module
+        InMemoryLogRecordExporter,
+        SimpleLogRecordProcessor,
+    )
+except ImportError:
+    # Fallback to old name for compatibility with older SDK versions
+    from opentelemetry.sdk._logs.export import (
+        InMemoryLogExporter as InMemoryLogRecordExporter,
+    )
+    from opentelemetry.sdk._logs.export import (
+        SimpleLogRecordProcessor,
+    )
+from opentelemetry.sdk.metrics import MeterProvider
+from opentelemetry.sdk.metrics._internal.export import InMemoryMetricReader
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import SimpleSpanProcessor
+from opentelemetry.sdk.trace.export.in_memory_span_exporter import (
+    InMemorySpanExporter,
+)
+from opentelemetry.trace import get_tracer_provider, set_tracer_provider
+from opentelemetry.util._once import Once
+
+
+def _bypass_otel_once():
+    opentelemetry.trace._TRACER_PROVIDER_SET_ONCE = Once()
+    opentelemetry._logs._internal._LOGGER_PROVIDER_SET_ONCE = Once()
+    opentelemetry.metrics._internal._METER_PROVIDER_SET_ONCE = Once()
+
+
+class OTelProviderSnapshot:
+    def __init__(self):
+        self._tracer_provider = get_tracer_provider()
+        self._logger_provider = get_logger_provider()
+        self._meter_provider = get_meter_provider()
+
+    def restore(self):
+        _bypass_otel_once()
+        opentelemetry.trace._TRACER_PROVIDER = None
+        opentelemetry._logs._internal._LOGGER_PROVIDER = None
+        opentelemetry.metrics._internal._METER_PROVIDER = None
+
+
+class _LogWrapper:
+    def __init__(self, log_data):
+        self._log_data = log_data
+
+    @property
+    def scope(self):
+        return self._log_data.instrumentation_scope
+
+    @property
+    def resource(self):
+        return self._log_data.log_record.resource
+
+    @property
+    def attributes(self):
+        return self._log_data.log_record.attributes
+
+    @property
+    def body(self):
+        return self._log_data.log_record.body
+
+    @property
+    def event_name(self):
+        return self._log_data.log_record.event_name
+
+    def __str__(self):
+        return self._log_data.log_record.to_json()
+
+
+class _MetricDataPointWrapper:
+    def __init__(self, resource, scope, metric):
+        self._resource = resource
+        self._scope = scope
+        self._metric = metric
+
+    @property
+    def resource(self):
+        return self._resource
+
+    @property
+    def scope(self):
+        return self._scope
+
+    @property
+    def metric(self):
+        return self._metric
+
+    @property
+    def name(self):
+        return self._metric.name
+
+    @property
+    def data(self):
+        return self._metric.data
+
+
+class OTelMocker:
+    def __init__(self):
+        self._snapshot = None
+        self._logs = InMemoryLogRecordExporter()
+        self._traces = InMemorySpanExporter()
+        self._metrics = InMemoryMetricReader()
+        self._spans = []
+        self._finished_logs = []
+        self._metrics_data = []
+
+    def install(self):
+        self._snapshot = OTelProviderSnapshot()
+        _bypass_otel_once()
+        self._install_logs()
+        self._install_metrics()
+        self._install_traces()
+
+    def uninstall(self):
+        self._snapshot.restore()
+
+    def get_finished_logs(self):
+        for log_data in self._logs.get_finished_logs():
+            self._finished_logs.append(_LogWrapper(log_data))
+        return self._finished_logs
+
+    def get_finished_spans(self):
+        for span in self._traces.get_finished_spans():
+            self._spans.append(span)
+        return self._spans
+
+    def get_metrics_data(self):
+        data = self._metrics.get_metrics_data()
+        if data is not None:
+            for resource_metric in data.resource_metrics:
+                resource = resource_metric.resource
+                for scope_metrics in resource_metric.scope_metrics:
+                    scope = scope_metrics.scope
+                    for metric in scope_metrics.metrics:
+                        wrapper = _MetricDataPointWrapper(
+                            resource, scope, metric
+                        )
+                        self._metrics_data.append(wrapper)
+        return self._metrics_data
+
+    def get_span_named(self, name):
+        for span in self.get_finished_spans():
+            if span.name == name:
+                return span
+        return None
+
+    def assert_has_span_named(self, name):
+        span = self.get_span_named(name)
+        finished_spans = [span.name for span in self.get_finished_spans()]
+        assert span is not None, (
+            f'Could not find span named "{name}"; finished spans: {finished_spans}'
+        )
+
+    def assert_does_not_have_span_named(self, name):
+        span = self.get_span_named(name)
+        assert span is None, f"Found unexpected span named {name}"
+
+    def get_event_named(self, event_name):
+        return next(
+            (
+                event
+                for event in self.get_finished_logs()
+                if event.event_name == event_name
+            ),
+            None,
+        )
+
+    def get_events_named(self, event_name):
+        return [
+            event
+            for event in self.get_finished_logs()
+            if event.event_name == event_name
+        ]
+
+    def assert_has_event_named(self, name):
+        event = self.get_event_named(name)
+        finished_logs = self.get_finished_logs()
+        assert event is not None, (
+            f'Could not find event named "{name}"; finished logs: {finished_logs}'
+        )
+
+    def assert_does_not_have_event_named(self, name):
+        event = self.get_event_named(name)
+        assert event is None, f"Unexpected event: {event}"
+
+    def get_metrics_data_named(self, name):
+        results = []
+        for entry in self.get_metrics_data():
+            if entry.name == name:
+                results.append(entry)
+        return results
+
+    def assert_has_metrics_data_named(self, name):
+        data = self.get_metrics_data_named(name)
+        assert len(data) > 0
+
+    def _install_logs(self):
+        provider = LoggerProvider()
+        provider.add_log_record_processor(SimpleLogRecordProcessor(self._logs))
+        set_logger_provider(provider)
+
+    def _install_metrics(self):
+        provider = MeterProvider(metric_readers=[self._metrics])
+        set_meter_provider(provider)
+
+    def _install_traces(self):
+        provider = TracerProvider()
+        provider.add_span_processor(SimpleSpanProcessor(self._traces))
+        set_tracer_provider(provider)
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/conftest.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/conftest.py
new file mode 100644
index 000000000..7a6a772d6
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/conftest.py
@@ -0,0 +1,94 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""VCR configuration for Google GenAI SDK integration tests."""
+
+import re
+from pathlib import Path
+
+import pytest
+
+_CASSETTES = Path(__file__).parent / "cassettes"
+_THOUGHT_SIGNATURE = re.compile(
+    rb'("(?:thoughtSignature|thought_signature|signature)"\s*:\s*")[^"]+(")'
+)
+
+
+def _scrub_body(value):
+    if isinstance(value, str):
+        return _THOUGHT_SIGNATURE.sub(
+            rb"\1dGVzdC10aG91Z2h0LXNpZ25hdHVyZQ==\2", value.encode()
+        ).decode()
+    if isinstance(value, bytes):
+        return _THOUGHT_SIGNATURE.sub(
+            rb"\1dGVzdC10aG91Z2h0LXNpZ25hdHVyZQ==\2", value
+        )
+    return value
+
+
+def _scrub_request(request):
+    request.body = _scrub_body(request.body)
+    return request
+
+
+def _scrub_response(response):
+    body = response.get("body", {})
+    if "string" in body:
+        body["string"] = _scrub_body(body["string"])
+    headers = response.get("headers", {})
+    for name in list(headers):
+        if name.lower() in {
+            "date",
+            "server",
+            "server-timing",
+            "set-cookie",
+            "x-request-id",
+        }:
+            del headers[name]
+    return response
+
+
+@pytest.fixture(scope="module")
+def vcr_cassette_dir():
+    return str(_CASSETTES)
+
+
+@pytest.fixture(scope="module")
+def vcr_config():
+    return {
+        "filter_headers": [
+            ("authorization", "Bearer test_google_key"),
+            ("x-goog-api-key", "test-google-key"),
+        ],
+        "filter_query_parameters": [
+            "key",
+            "apiKey",
+            "quotaUser",
+            "userProject",
+            "access_token",
+        ],
+        "filter_post_data_parameters": ["key", "api_key", "apiKey"],
+        "before_record_request": _scrub_request,
+        "before_record_response": _scrub_response,
+        "decode_compressed_response": True,
+        "match_on": [
+            "method",
+            "scheme",
+            "host",
+            "port",
+            "path",
+            "query",
+            "body",
+        ],
+    }
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/embeddings/__init__.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/embeddings/__init__.py
new file mode 100644
index 000000000..cceb2a6af
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/embeddings/__init__.py
@@ -0,0 +1,16 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/embeddings/test_embeddings.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/embeddings/test_embeddings.py
new file mode 100644
index 000000000..65459acb9
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/embeddings/test_embeddings.py
@@ -0,0 +1,181 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+import asyncio
+from unittest.mock import AsyncMock, MagicMock
+
+from google.genai.models import AsyncModels, Models
+from google.genai.types import (
+    ContentEmbedding,
+    ContentEmbeddingStatistics,
+    EmbedContentResponse,
+)
+
+from opentelemetry.semconv._incubating.attributes import (
+    gen_ai_attributes as GenAIAttributes,
+)
+from opentelemetry.trace import StatusCode
+
+from ..common.base import TestCase
+
+_EMBEDDING_DIMENSION_COUNT = getattr(
+    GenAIAttributes,
+    "GEN_AI_EMBEDDINGS_DIMENSION_COUNT",
+    "gen_ai.embeddings.dimension.count",
+)
+
+
+class TestEmbeddings(TestCase):
+    def setUp(self):
+        super().setUp()
+        self._original_embed_content = Models.embed_content
+        self._original_async_embed_content = AsyncModels.embed_content
+
+        self.mock_response = EmbedContentResponse(
+            embeddings=[
+                ContentEmbedding(
+                    values=[0.1, 0.2, 0.3],
+                    statistics=ContentEmbeddingStatistics(
+                        token_count=5,
+                        truncated=False,
+                    ),
+                )
+            ]
+        )
+
+        self.embed_content_mock = MagicMock(return_value=self.mock_response)
+        self.async_embed_content_mock = AsyncMock(
+            return_value=self.mock_response
+        )
+
+        def _sync_embed_wrapped(self_obj, *args, **kwargs):
+            return self.embed_content_mock(*args, **kwargs)
+
+        async def _async_embed_wrapped(self_obj, *args, **kwargs):
+            return await self.async_embed_content_mock(*args, **kwargs)
+
+        Models.embed_content = _sync_embed_wrapped
+        AsyncModels.embed_content = _async_embed_wrapped
+
+    def tearDown(self):
+        super().tearDown()
+        Models.embed_content = self._original_embed_content
+        AsyncModels.embed_content = self._original_async_embed_content
+
+    def test_sync_embed_content(self):
+        response = self.client.models.embed_content(
+            model="text-embedding-004",
+            contents="hello world",
+        )
+
+        self.assertEqual(response, self.mock_response)
+        self.embed_content_mock.assert_called_once_with(
+            model="text-embedding-004",
+            contents="hello world",
+        )
+
+        spans = self.otel.get_finished_spans()
+        self.assertEqual(len(spans), 1)
+        span = spans[0]
+
+        self.assertEqual(span.name, "embeddings text-embedding-004")
+        self.assertEqual(span.status.status_code, StatusCode.UNSET)
+
+        attrs = span.attributes
+        self.assertEqual(
+            attrs[GenAIAttributes.GEN_AI_OPERATION_NAME], "embeddings"
+        )
+        self.assertEqual(attrs[GenAIAttributes.GEN_AI_PROVIDER_NAME], "gemini")
+        self.assertEqual(
+            attrs[GenAIAttributes.GEN_AI_REQUEST_MODEL], "text-embedding-004"
+        )
+        self.assertEqual(attrs[_EMBEDDING_DIMENSION_COUNT], 3)
+        self.assertEqual(
+            attrs["server.address"],
+            "generativelanguage.googleapis.com",
+        )
+
+    def test_async_embed_content(self):
+        async def run_test():
+            response = await self.client.aio.models.embed_content(
+                model="text-embedding-004",
+                contents="hello world",
+            )
+            self.assertEqual(response, self.mock_response)
+            self.async_embed_content_mock.assert_called_once_with(
+                model="text-embedding-004",
+                contents="hello world",
+            )
+
+        asyncio.run(run_test())
+
+        spans = self.otel.get_finished_spans()
+        self.assertEqual(len(spans), 1)
+        span = spans[0]
+
+        self.assertEqual(span.name, "embeddings text-embedding-004")
+        self.assertEqual(span.status.status_code, StatusCode.UNSET)
+
+        attrs = span.attributes
+        self.assertEqual(
+            attrs[GenAIAttributes.GEN_AI_OPERATION_NAME], "embeddings"
+        )
+        self.assertEqual(attrs[GenAIAttributes.GEN_AI_PROVIDER_NAME], "gemini")
+        self.assertEqual(
+            attrs[GenAIAttributes.GEN_AI_REQUEST_MODEL], "text-embedding-004"
+        )
+        self.assertEqual(attrs[_EMBEDDING_DIMENSION_COUNT], 3)
+        self.assertEqual(
+            attrs["server.address"],
+            "generativelanguage.googleapis.com",
+        )
+
+    def test_embed_content_multiple_inputs(self):
+        _ = self.client.models.embed_content(
+            model="text-embedding-004",
+            contents=["hello", "world"],
+        )
+
+        spans = self.otel.get_finished_spans()
+        self.assertEqual(len(spans), 1)
+        span = spans[0]
+
+        attrs = span.attributes
+        self.assertEqual(
+            attrs[GenAIAttributes.GEN_AI_OPERATION_NAME], "embeddings"
+        )
+        self.assertEqual(attrs[GenAIAttributes.GEN_AI_PROVIDER_NAME], "gemini")
+        self.assertEqual(
+            attrs[GenAIAttributes.GEN_AI_REQUEST_MODEL], "text-embedding-004"
+        )
+        self.assertEqual(attrs[_EMBEDDING_DIMENSION_COUNT], 3)
+
+    def test_embed_content_error(self):
+        self.embed_content_mock.side_effect = ValueError("invalid model")
+
+        with self.assertRaises(ValueError):
+            self.client.models.embed_content(
+                model="bad-model",
+                contents="test",
+            )
+
+        spans = self.otel.get_finished_spans()
+        self.assertEqual(len(spans), 1)
+        span = spans[0]
+
+        self.assertEqual(span.status.status_code, StatusCode.ERROR)
+        self.assertEqual(span.status.description, "invalid model")
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/__init__.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/__init__.py
new file mode 100644
index 000000000..b0a6f4284
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/__init__.py
@@ -0,0 +1,13 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/base.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/base.py
new file mode 100644
index 000000000..69db1d164
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/base.py
@@ -0,0 +1,171 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+import unittest
+import unittest.mock
+
+from google.genai.models import AsyncModels, Models
+
+from ..common.base import TestCase as CommonTestCaseBase
+from .util import convert_to_response, create_response
+
+
+# Helper used in "_install_mocks" below.
+def _wrap_output(mock_generate_content):
+    def _wrapped(*args, **kwargs):
+        return convert_to_response(mock_generate_content(*args, **kwargs))
+
+    return _wrapped
+
+
+# Helper used in "_install_mocks" below.
+def _wrap_output_stream(mock_generate_content_stream):
+    def _wrapped(*args, **kwargs):
+        for output in mock_generate_content_stream(*args, **kwargs):
+            yield convert_to_response(output)
+
+    return _wrapped
+
+
+# Helper used in "_install_mocks" below.
+def _async_wrapper(mock_generate_content):
+    async def _wrapped(*args, **kwargs):
+        return mock_generate_content(*args, **kwargs)
+
+    return _wrapped
+
+
+# Helper used in "_install_mocks" below.
+def _async_stream_wrapper(mock_generate_content_stream):
+    async def _wrapped(*args, **kwargs):
+        async def _internal_generator():
+            for result in mock_generate_content_stream(*args, **kwargs):
+                yield result
+
+        return _internal_generator()
+
+    return _wrapped
+
+
+class TestCase(CommonTestCaseBase):
+    # The "setUp" function is defined by "unittest.TestCase" and thus
+    # this name must be used. Uncertain why pylint doesn't seem to
+    # recognize that this is a unit test class for which this is inherited.
+    def setUp(self):  # pylint: disable=invalid-name
+        super().setUp()
+        if self.__class__ == TestCase:
+            raise unittest.SkipTest("Skipping testcase base.")
+        self._generate_content_mock = None
+        self._generate_content_stream_mock = None
+        self._original_generate_content = Models.generate_content
+        self._original_generate_content_stream = Models.generate_content_stream
+        self._original_async_generate_content = AsyncModels.generate_content
+        self._original_async_generate_content_stream = (
+            AsyncModels.generate_content_stream
+        )
+        self._responses = []
+        self._response_index = 0
+
+    @property
+    def mock_generate_content(self):
+        if self._generate_content_mock is None:
+            self._create_and_install_mocks()
+        return self._generate_content_mock
+
+    @property
+    def mock_generate_content_stream(self):
+        if self._generate_content_stream_mock is None:
+            self._create_and_install_mocks()
+        return self._generate_content_stream_mock
+
+    def configure_valid_response(self, **kwargs):
+        self._create_and_install_mocks()
+        response = create_response(**kwargs)
+        self._responses.append(response)
+
+    def configure_exception(self, e, **kwargs):
+        self._create_and_install_mocks(e)
+
+    def _create_and_install_mocks(self, e=None):
+        if self._generate_content_mock is not None:
+            return
+        self.reset_client()
+        self.reset_instrumentation()
+        self._generate_content_mock = self._create_nonstream_mock(e)
+        self._generate_content_stream_mock = self._create_stream_mock(e)
+        self._install_mocks()
+
+    def _create_nonstream_mock(self, e=None):
+        mock = unittest.mock.MagicMock()
+
+        def _default_impl(*args, **kwargs):
+            if not self._responses:
+                return create_response(text="Some response")
+            index = self._response_index % len(self._responses)
+            result = self._responses[index]
+            self._response_index += 1
+            return result
+
+        mock.side_effect = e or _default_impl
+        return mock
+
+    def _create_stream_mock(self, e=None):
+        mock = unittest.mock.MagicMock()
+
+        def _default_impl(*args, **kwargs):
+            yield from self._responses
+
+        if not e:
+            mock.side_effect = _default_impl
+        else:
+            mock.side_effect = e
+        return mock
+
+    def _install_mocks(self):
+        output_wrapped = _wrap_output(self._generate_content_mock)
+        output_wrapped_stream = _wrap_output_stream(
+            self._generate_content_stream_mock
+        )
+        Models.generate_content = output_wrapped
+        Models.generate_content_stream = output_wrapped_stream
+        AsyncModels.generate_content = _async_wrapper(output_wrapped)
+        AsyncModels.generate_content_stream = _async_stream_wrapper(
+            output_wrapped_stream
+        )
+
+    def tearDown(self):
+        super().tearDown()
+        if self._generate_content_mock is None:
+            assert Models.generate_content == self._original_generate_content
+            assert (
+                Models.generate_content_stream
+                == self._original_generate_content_stream
+            )
+            assert (
+                AsyncModels.generate_content
+                == self._original_async_generate_content
+            )
+            assert (
+                AsyncModels.generate_content_stream
+                == self._original_async_generate_content_stream
+            )
+        Models.generate_content = self._original_generate_content
+        Models.generate_content_stream = self._original_generate_content_stream
+        AsyncModels.generate_content = self._original_async_generate_content
+        AsyncModels.generate_content_stream = (
+            self._original_async_generate_content_stream
+        )
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/nonstreaming_base.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/nonstreaming_base.py
new file mode 100644
index 000000000..2533f4160
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/nonstreaming_base.py
@@ -0,0 +1,652 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+import unittest
+from unittest.mock import AsyncMock, create_autospec, patch
+
+import pytest
+from google.genai.types import (
+    FunctionDeclarationDict,
+    GenerateContentConfig,
+    GoogleMaps,
+    ToolDict,
+)
+from pydantic import BaseModel, Field
+
+from opentelemetry import context as context_api
+from opentelemetry.instrumentation.google_genai import (
+    GENERATE_CONTENT_EXTRA_ATTRIBUTES_CONTEXT_KEY,
+)
+from opentelemetry.semconv._incubating.attributes import gen_ai_attributes
+
+from .base import TestCase
+
+_is_mcp_imported = False
+McpClientSession = McpTool = McpListToolsResult = None
+try:
+    from mcp import ClientSession as McpClientSession
+    from mcp import ListToolsResult as McpListToolsResult
+    from mcp import Tool as McpTool
+
+    _is_mcp_imported = True
+except ImportError:
+    pass
+# pylint: disable=too-many-public-methods
+
+GEN_AI_TOOL_DEFINITIONS = getattr(
+    gen_ai_attributes, "GEN_AI_TOOL_DEFINITIONS", "gen_ai.tool.definitions"
+)
+
+
+def _mock_callable_tool():
+    """Description of some tool."""
+    return "result"
+
+
+def _mock_mcp_client_session() -> McpClientSession:
+    mock_session = create_autospec(spec=McpClientSession, instance=True)
+
+    mock_tool_obj = McpTool(
+        name="mcp_tool",
+        description="Tool from session",
+        inputSchema={
+            "type": "object",
+            "properties": {"id": {"type": "integer"}},
+        },
+    )
+    mock_result = create_autospec(McpListToolsResult, instance=True)
+    mock_result.tools = [mock_tool_obj]
+
+    mock_session.list_tools = AsyncMock(return_value=mock_result)
+
+    return mock_session
+
+
+def _mock_mcp_tool():
+    return McpTool(
+        name="mcp_tool",
+        description="A standalone mcp tool",
+        inputSchema={
+            "type": "object",
+            "properties": {"id": {"type": "integer"}},
+        },
+    )
+
+
+def _mock_tool_dict() -> ToolDict:
+    return ToolDict(
+        function_declarations=[
+            FunctionDeclarationDict(
+                name="mock_tool",
+                description="Description of mock tool.",
+            ),
+        ],
+        google_maps=GoogleMaps(),
+    )
+
+
+class ExampleResponseSchema(BaseModel):
+    name: str = Field(description="A Destination's Name")
+
+
+class NonStreamingTestCase(TestCase):
+    # The "setUp" function is defined by "unittest.TestCase" and thus
+    # this name must be used. Uncertain why pylint doesn't seem to
+    # recognize that this is a unit test class for which this is inherited.
+    def setUp(self):  # pylint: disable=invalid-name
+        super().setUp()
+        if self.__class__ == NonStreamingTestCase:
+            raise unittest.SkipTest("Skipping testcase base.")
+        self.tools = [
+            _mock_callable_tool,
+            _mock_tool_dict(),
+        ]
+        if _is_mcp_imported:
+            self.tools.append(_mock_mcp_client_session())
+            self.tools.append(_mock_mcp_tool())
+        self.base_tools_definition = (
+            {
+                "name": "_mock_callable_tool",
+                "description": "Description of some tool.",
+                "parameters": None,
+                "type": "function",
+            },
+            {
+                "name": "mock_tool",
+                "description": "Description of mock tool.",
+                "parameters": None,
+                "type": "function",
+            },
+            {
+                "name": "google_maps",
+                "type": "google_maps",
+            },
+        )
+        if _is_mcp_imported:
+            self.mcp_tools_no_content = (
+                (
+                    {
+                        "name": "mcp_tool",
+                        "description": "A standalone mcp tool",
+                        "parameters": None,
+                        "type": "function",
+                    },
+                ),
+                (
+                    {
+                        "name": "mcp_tool",
+                        "description": "Tool from session",
+                        "parameters": None,
+                        "type": "function",
+                    },
+                    {
+                        "name": "mcp_tool",
+                        "description": "A standalone mcp tool",
+                        "parameters": None,
+                        "type": "function",
+                    },
+                ),
+            )
+            self.mcp_tools_with_content = (
+                (
+                    {
+                        "name": "mcp_tool",
+                        "description": "A standalone mcp tool",
+                        "parameters": {
+                            "type": "object",
+                            "properties": {"id": {"type": "integer"}},
+                        },
+                        "type": "function",
+                    },
+                ),
+                (
+                    {
+                        "name": "mcp_tool",
+                        "description": "Tool from session",
+                        "parameters": {
+                            "type": "object",
+                            "properties": {"id": {"type": "integer"}},
+                        },
+                        "type": "function",
+                    },
+                    {
+                        "name": "mcp_tool",
+                        "description": "A standalone mcp tool",
+                        "parameters": {
+                            "type": "object",
+                            "properties": {"id": {"type": "integer"}},
+                        },
+                        "type": "function",
+                    },
+                ),
+            )
+
+    def generate_content(self, *args, **kwargs):
+        raise NotImplementedError("Must implement 'generate_content'.")
+
+    @property
+    def expected_function_name(self):
+        raise NotImplementedError("Must implement 'expected_function_name'.")
+
+    def _generate_and_get_span(self, config):
+        self.generate_content(
+            model="gemini-2.0-flash",
+            contents="Some input prompt",
+            config=config,
+        )
+        self.otel.assert_has_span_named("generate_content gemini-2.0-flash")
+        return self.otel.get_span_named("generate_content gemini-2.0-flash")
+
+    def test_instrumentation_does_not_break_core_functionality(self):
+        self.configure_valid_response(text="Yep, it works!")
+        response = self.generate_content(
+            model="gemini-2.0-flash", contents="Does this work?"
+        )
+        self.assertEqual(response.text, "Yep, it works!")
+
+    def test_generates_span(self):
+        self.configure_valid_response(text="Yep, it works!")
+        response = self.generate_content(
+            model="gemini-2.0-flash", contents="Does this work?"
+        )
+        self.assertEqual(response.text, "Yep, it works!")
+        self.otel.assert_has_span_named("generate_content gemini-2.0-flash")
+
+    def test_model_reflected_into_span_name(self):
+        self.configure_valid_response(text="Yep, it works!")
+        response = self.generate_content(
+            model="gemini-1.5-flash", contents="Does this work?"
+        )
+        self.assertEqual(response.text, "Yep, it works!")
+        self.otel.assert_has_span_named("generate_content gemini-1.5-flash")
+
+    def test_generated_span_has_minimal_genai_attributes(self):
+        self.configure_valid_response(text="Yep, it works!")
+        self.generate_content(
+            model="gemini-2.0-flash", contents="Does this work?"
+        )
+        self.otel.assert_has_span_named("generate_content gemini-2.0-flash")
+        span = self.otel.get_span_named("generate_content gemini-2.0-flash")
+        self.assertEqual(span.attributes["gen_ai.provider.name"], "gemini")
+        self.assertEqual(
+            span.attributes["gen_ai.operation.name"], "generate_content"
+        )
+        self.assertEqual(
+            span.attributes["server.address"],
+            "generativelanguage.googleapis.com",
+        )
+
+    def test_generated_span_has_extra_genai_attributes(self):
+        self.configure_valid_response(text="Yep, it works!")
+        tok = context_api.attach(
+            context_api.set_value(
+                GENERATE_CONTENT_EXTRA_ATTRIBUTES_CONTEXT_KEY,
+                {"extra_attribute_key": "extra_attribute_value"},
+            )
+        )
+        try:
+            self.generate_content(
+                model="gemini-2.0-flash", contents="Does this work?"
+            )
+            self.otel.assert_has_span_named(
+                "generate_content gemini-2.0-flash"
+            )
+            span = self.otel.get_span_named(
+                "generate_content gemini-2.0-flash"
+            )
+            self.assertEqual(
+                span.attributes["extra_attribute_key"], "extra_attribute_value"
+            )
+        finally:
+            context_api.detach(tok)
+
+    def test_span_and_event_still_written_when_response_is_exception(self):
+        self.configure_exception(ValueError("Uh oh!"))
+        with pytest.raises(ValueError):
+            self.generate_content(
+                model="gemini-2.0-flash", contents="Does this work?"
+            )
+        self.otel.assert_has_span_named("generate_content gemini-2.0-flash")
+        span = self.otel.get_span_named("generate_content gemini-2.0-flash")
+        self.otel.assert_has_event_named(
+            "gen_ai.client.inference.operation.details"
+        )
+        event = self.otel.get_event_named(
+            "gen_ai.client.inference.operation.details"
+        )
+        assert (
+            span.attributes["error.type"]
+            == event.attributes["error.type"]
+            == "ValueError"
+        )
+
+    def test_generated_span_has_vertex_ai_system_when_configured(self):
+        self.set_use_vertex(True)
+        self.configure_valid_response(text="Yep, it works!")
+        self.generate_content(
+            model="gemini-2.0-flash", contents="Does this work?"
+        )
+        self.otel.assert_has_span_named("generate_content gemini-2.0-flash")
+        span = self.otel.get_span_named("generate_content gemini-2.0-flash")
+        self.assertEqual(span.attributes["gen_ai.provider.name"], "vertex_ai")
+        self.assertEqual(
+            span.attributes["gen_ai.operation.name"], "generate_content"
+        )
+
+    def test_generated_span_counts_tokens(self):
+        self.configure_valid_response(
+            input_tokens=123,
+            output_tokens=456,
+            cached_tokens=50,
+            thinking_tokens=17,
+        )
+        self.generate_content(model="gemini-2.0-flash", contents="Some input")
+        self.otel.assert_has_span_named("generate_content gemini-2.0-flash")
+        span = self.otel.get_span_named("generate_content gemini-2.0-flash")
+        self.assertEqual(span.attributes["gen_ai.usage.input_tokens"], 123)
+        self.assertEqual(
+            span.attributes["gen_ai.usage.output_tokens"], 456 + 17
+        )
+        self.assertEqual(
+            span.attributes["gen_ai.usage.cache_read.input_tokens"], 50
+        )
+        self.assertEqual(
+            span.attributes["gen_ai.usage.reasoning.output_tokens"], 17
+        )
+
+    def test_generated_span_records_response_model(self):
+        self.configure_valid_response(model_version="gemini-2.0-flash-001")
+        self.generate_content(model="gemini-2.0-flash", contents="Some input")
+        span = self.otel.get_span_named("generate_content gemini-2.0-flash")
+        self.assertEqual(
+            span.attributes["gen_ai.response.model"], "gemini-2.0-flash-001"
+        )
+        self.otel.assert_has_event_named(
+            "gen_ai.client.inference.operation.details"
+        )
+        event = self.otel.get_event_named(
+            "gen_ai.client.inference.operation.details"
+        )
+        self.assertEqual(
+            event.attributes["gen_ai.response.model"], "gemini-2.0-flash-001"
+        )
+
+    @patch.dict(
+        "os.environ",
+        {
+            "OTEL_GOOGLE_GENAI_GENERATE_CONTENT_CONFIG_INCLUDES": "gcp.gen_ai.operation.config.response_schema",
+            "OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "NO_CONTENT",
+        },
+    )
+    def test_log_event_no_content_capture(self):
+        self.configure_valid_response(
+            text="Some response content",
+            cached_tokens=50,
+            thinking_tokens=17,
+        )
+        self.generate_content(
+            model="gemini-2.0-flash",
+            contents="Some input",
+            config=GenerateContentConfig(
+                system_instruction="System instruction",
+                response_schema=ExampleResponseSchema,
+                tools=self.tools,
+            ),
+        )
+        self.otel.assert_has_event_named(
+            "gen_ai.client.inference.operation.details"
+        )
+        event = self.otel.get_event_named(
+            "gen_ai.client.inference.operation.details"
+        )
+        self.assertEqual(
+            event.attributes["gen_ai.usage.cache_read.input_tokens"],
+            50,
+        )
+        self.assertNotIn(
+            gen_ai_attributes.GEN_AI_RESPONSE_ID, event.attributes
+        )
+        self.assertEqual(
+            event.attributes["gen_ai.usage.reasoning.output_tokens"],
+            17,
+        )
+        self.assertEqual(
+            event.attributes["gen_ai.usage.output_tokens"],
+            17,
+        )
+        assert (
+            event.attributes["gcp.gen_ai.operation.config.response_schema"]
+            == "<class 'tests.generate_content.nonstreaming_base.ExampleResponseSchema'>"
+        )
+
+        self.assertNotIn(
+            gen_ai_attributes.GEN_AI_INPUT_MESSAGES,
+            event.attributes,
+        )
+        self.assertNotIn(
+            gen_ai_attributes.GEN_AI_OUTPUT_MESSAGES,
+            event.attributes,
+        )
+        self.assertNotIn(
+            gen_ai_attributes.GEN_AI_SYSTEM_INSTRUCTIONS,
+            event.attributes,
+        )
+        if _is_mcp_imported:
+            self.assertIn(
+                event.attributes[GEN_AI_TOOL_DEFINITIONS],
+                [
+                    self.base_tools_definition + mcp_var
+                    for mcp_var in self.mcp_tools_no_content
+                ],
+            )
+        else:
+            self.assertEqual(
+                event.attributes[GEN_AI_TOOL_DEFINITIONS],
+                self.base_tools_definition,
+            )
+
+    @patch.dict(
+        "os.environ",
+        {
+            "OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "EVENT_ONLY",
+        },
+    )
+    def test_log_event_with_content_capture(self):
+        self.configure_valid_response(
+            text="Some response content",
+            cached_tokens=50,
+            thinking_tokens=17,
+            response_id="qwerty17",
+        )
+        self.generate_content(
+            model="gemini-2.0-flash",
+            contents="Some input",
+            config=GenerateContentConfig(
+                system_instruction="System instruction",
+                response_schema=ExampleResponseSchema,
+                tools=self.tools,
+            ),
+        )
+        self.otel.assert_has_event_named(
+            "gen_ai.client.inference.operation.details"
+        )
+        event = self.otel.get_event_named(
+            "gen_ai.client.inference.operation.details"
+        )
+        self.assertEqual(
+            event.attributes[gen_ai_attributes.GEN_AI_RESPONSE_ID], "qwerty17"
+        )
+        self.assertEqual(
+            event.attributes["gen_ai.usage.cache_read.input_tokens"],
+            50,
+        )
+        self.assertEqual(
+            event.attributes["gen_ai.usage.reasoning.output_tokens"],
+            17,
+        )
+        self.assertEqual(
+            event.attributes["gen_ai.usage.output_tokens"],
+            17,
+        )
+        self.assertEqual(
+            event.attributes[gen_ai_attributes.GEN_AI_INPUT_MESSAGES],
+            (
+                {
+                    "role": "user",
+                    "parts": ({"content": "Some input", "type": "text"},),
+                },
+            ),
+        )
+        self.assertEqual(
+            event.attributes[gen_ai_attributes.GEN_AI_OUTPUT_MESSAGES],
+            (
+                {
+                    "role": "assistant",
+                    "parts": (
+                        {"content": "Some response content", "type": "text"},
+                    ),
+                    "finish_reason": "",
+                },
+            ),
+        )
+        self.assertEqual(
+            event.attributes[gen_ai_attributes.GEN_AI_SYSTEM_INSTRUCTIONS],
+            ({"content": "System instruction", "type": "text"},),
+        )
+        if _is_mcp_imported:
+            self.assertIn(
+                event.attributes[GEN_AI_TOOL_DEFINITIONS],
+                [
+                    self.base_tools_definition + mcp_var
+                    for mcp_var in self.mcp_tools_with_content
+                ],
+            )
+        else:
+            self.assertEqual(
+                event.attributes[GEN_AI_TOOL_DEFINITIONS],
+                self.base_tools_definition,
+            )
+
+    @patch.dict(
+        "os.environ",
+        {"OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "NO_CONTENT"},
+    )
+    def test_span_attributes_no_content_capture(self):
+        self.configure_valid_response(
+            text="Some response content",
+            cached_tokens=50,
+            thinking_tokens=19,
+            response_id="qwerty17",
+        )
+        self.generate_content(
+            model="gemini-2.0-flash",
+            contents="Some input",
+            config=GenerateContentConfig(
+                system_instruction="System instruction",
+                response_schema=ExampleResponseSchema,
+                tools=self.tools,
+            ),
+        )
+        span = self.otel.get_span_named("generate_content gemini-2.0-flash")
+        self.assertEqual(span.attributes["gen_ai.provider.name"], "gemini")
+        self.assertEqual(
+            span.attributes["gen_ai.usage.cache_read.input_tokens"],
+            50,
+        )
+        self.assertEqual(
+            span.attributes[gen_ai_attributes.GEN_AI_RESPONSE_ID], "qwerty17"
+        )
+        self.assertEqual(
+            span.attributes["gen_ai.usage.reasoning.output_tokens"],
+            19,
+        )
+        self.assertEqual(
+            span.attributes["gen_ai.usage.output_tokens"],
+            19,
+        )
+        for attribute in (
+            gen_ai_attributes.GEN_AI_INPUT_MESSAGES,
+            gen_ai_attributes.GEN_AI_OUTPUT_MESSAGES,
+            gen_ai_attributes.GEN_AI_SYSTEM_INSTRUCTIONS,
+        ):
+            self.assertNotIn(attribute, span.attributes)
+        if _is_mcp_imported:
+            self.assertIn(
+                span.attributes[GEN_AI_TOOL_DEFINITIONS],
+                [
+                    '[{"name":"_mock_callable_tool","description":"Description of some tool.","parameters":null,"type":"function"},{"name":"mock_tool","description":"Description of mock tool.","parameters":null,"type":"function"},{"name":"google_maps","type":"google_maps"},{"name":"mcp_tool","description":"Tool from session","parameters":null,"type":"function"},{"name":"mcp_tool","description":"A standalone mcp tool","parameters":null,"type":"function"}]',
+                    '[{"name":"_mock_callable_tool","description":"Description of some tool.","parameters":null,"type":"function"},{"name":"mock_tool","description":"Description of mock tool.","parameters":null,"type":"function"},{"name":"google_maps","type":"google_maps"},{"name":"mcp_tool","description":"A standalone mcp tool","parameters":null,"type":"function"}]',
+                ],
+            )
+        else:
+            self.assertEqual(
+                span.attributes[GEN_AI_TOOL_DEFINITIONS],
+                '[{"name":"_mock_callable_tool","description":"Description of some tool.","parameters":null,"type":"function"},{"name":"mock_tool","description":"Description of mock tool.","parameters":null,"type":"function"},{"name":"google_maps","type":"google_maps"}]',
+            )
+
+    @patch.dict(
+        "os.environ",
+        {"OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "SPAN_ONLY"},
+    )
+    def test_span_attributes_with_content_capture(self):
+        self.configure_valid_response(
+            text="Some response content",
+            cached_tokens=50,
+            thinking_tokens=19,
+        )
+        self.generate_content(
+            model="gemini-2.0-flash",
+            contents="Some input",
+            config=GenerateContentConfig(
+                system_instruction="System instruction",
+                response_schema=ExampleResponseSchema,
+                tools=self.tools,
+            ),
+        )
+        span = self.otel.get_span_named("generate_content gemini-2.0-flash")
+        self.assertEqual(span.attributes["gen_ai.provider.name"], "gemini")
+        self.assertEqual(
+            span.attributes["gen_ai.usage.cache_read.input_tokens"],
+            50,
+        )
+        self.assertEqual(
+            span.attributes["gen_ai.usage.reasoning.output_tokens"],
+            19,
+        )
+        self.assertEqual(
+            span.attributes["gen_ai.usage.output_tokens"],
+            19,
+        )
+        self.assertEqual(
+            span.attributes[gen_ai_attributes.GEN_AI_INPUT_MESSAGES],
+            '[{"role":"user","parts":[{"content":"Some input","type":"text"}]}]',
+        )
+        self.assertEqual(
+            span.attributes[gen_ai_attributes.GEN_AI_OUTPUT_MESSAGES],
+            '[{"role":"assistant","parts":[{"content":"Some response content","type":"text"}],"finish_reason":""}]',
+        )
+        self.assertEqual(
+            span.attributes[gen_ai_attributes.GEN_AI_SYSTEM_INSTRUCTIONS],
+            '[{"content":"System instruction","type":"text"}]',
+        )
+        if _is_mcp_imported:
+            self.assertIn(
+                span.attributes[GEN_AI_TOOL_DEFINITIONS],
+                [
+                    '[{"name":"_mock_callable_tool","description":"Description of some tool.","parameters":null,"type":"function"},{"name":"mock_tool","description":"Description of mock tool.","parameters":null,"type":"function"},{"name":"google_maps","type":"google_maps"},{"name":"mcp_tool","description":"Tool from session","parameters":{"type":"object","properties":{"id":{"type":"integer"}}},"type":"function"},{"name":"mcp_tool","description":"A standalone mcp tool","parameters":{"type":"object","properties":{"id":{"type":"integer"}}},"type":"function"}]',
+                    '[{"name":"_mock_callable_tool","description":"Description of some tool.","parameters":null,"type":"function"},{"name":"mock_tool","description":"Description of mock tool.","parameters":null,"type":"function"},{"name":"google_maps","type":"google_maps"},{"name":"mcp_tool","description":"A standalone mcp tool","parameters":{"type":"object","properties":{"id":{"type":"integer"}}},"type":"function"}]',
+                ],
+            )
+        else:
+            self.assertEqual(
+                span.attributes[GEN_AI_TOOL_DEFINITIONS],
+                '[{"name":"_mock_callable_tool","description":"Description of some tool.","parameters":null,"type":"function"},{"name":"mock_tool","description":"Description of mock tool.","parameters":null,"type":"function"},{"name":"google_maps","type":"google_maps"}]',
+            )
+
+    def test_log_has_extra_genai_attributes(self):
+        self.configure_valid_response(text="Yep, it works!")
+        tok = context_api.attach(
+            context_api.set_value(
+                GENERATE_CONTENT_EXTRA_ATTRIBUTES_CONTEXT_KEY,
+                {"extra_attribute_key": "extra_attribute_value"},
+            )
+        )
+        try:
+            self.generate_content(
+                model="gemini-2.0-flash",
+                contents="Does this work?",
+            )
+            self.otel.assert_has_event_named(
+                "gen_ai.client.inference.operation.details"
+            )
+            event = self.otel.get_event_named(
+                "gen_ai.client.inference.operation.details"
+            )
+            assert (
+                event.attributes["extra_attribute_key"]
+                == "extra_attribute_value"
+            )
+        finally:
+            context_api.detach(tok)
+
+    def test_records_metrics_data(self):
+        self.configure_valid_response()
+        self.generate_content(model="gemini-2.0-flash", contents="Some input")
+        self.otel.assert_has_metrics_data_named("gen_ai.client.token.usage")
+        self.otel.assert_has_metrics_data_named(
+            "gen_ai.client.operation.duration"
+        )
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/streaming_base.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/streaming_base.py
new file mode 100644
index 000000000..da5d03f02
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/streaming_base.py
@@ -0,0 +1,195 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+import json
+import unittest
+
+from google.genai import types
+
+from opentelemetry import context as context_api
+from opentelemetry.instrumentation.google_genai import (
+    GENERATE_CONTENT_EXTRA_ATTRIBUTES_CONTEXT_KEY,
+)
+
+from .base import TestCase
+
+
+class StreamingTestCase(TestCase):
+    # The "setUp" function is defined by "unittest.TestCase" and thus
+    # this name must be used. Uncertain why pylint doesn't seem to
+    # recognize that this is a unit test class for which this is inherited.
+    def setUp(self):  # pylint: disable=invalid-name
+        super().setUp()
+        if self.__class__ == StreamingTestCase:
+            raise unittest.SkipTest("Skipping testcase base.")
+
+    def generate_content(self, *args, **kwargs):
+        raise NotImplementedError("Must implement 'generate_content'.")
+
+    @property
+    def expected_function_name(self):
+        raise NotImplementedError("Must implement 'expected_function_name'.")
+
+    def test_instrumentation_does_not_break_core_functionality(self):
+        self.configure_valid_response(text="Yep, it works!")
+        responses = self.generate_content(
+            model="gemini-2.0-flash", contents="Does this work?"
+        )
+        self.assertEqual(len(responses), 1)
+        response = responses[0]
+        self.assertEqual(response.text, "Yep, it works!")
+
+    def test_generated_span_has_extra_genai_attributes(self):
+        self.configure_valid_response(text="Yep, it works!")
+        tok = context_api.attach(
+            context_api.set_value(
+                GENERATE_CONTENT_EXTRA_ATTRIBUTES_CONTEXT_KEY,
+                {"extra_attribute_key": "extra_attribute_value"},
+            )
+        )
+        try:
+            self.generate_content(
+                model="gemini-2.0-flash", contents="Does this work?"
+            )
+            self.otel.assert_has_span_named(
+                "generate_content gemini-2.0-flash"
+            )
+            span = self.otel.get_span_named(
+                "generate_content gemini-2.0-flash"
+            )
+            self.assertEqual(
+                span.attributes["extra_attribute_key"], "extra_attribute_value"
+            )
+        finally:
+            context_api.detach(tok)
+
+    def test_handles_multiple_responses(self):
+        self.configure_valid_response(text="First response")
+        self.configure_valid_response(text="Second response")
+        responses = self.generate_content(
+            model="gemini-2.0-flash", contents="Does this work?"
+        )
+        self.assertEqual(len(responses), 2)
+        self.assertEqual(responses[0].text, "First response")
+        self.assertEqual(responses[1].text, "Second response")
+        self.otel.assert_has_event_named(
+            "gen_ai.client.inference.operation.details"
+        )
+
+    def test_stream_records_time_to_first_token(self):
+        self.configure_valid_response(text="First response")
+        self.generate_content(
+            model="gemini-2.0-flash", contents="Does this work?"
+        )
+        span = self.otel.get_span_named("generate_content gemini-2.0-flash")
+        self.assertGreater(
+            span.attributes["gen_ai.response.time_to_first_token"], 0
+        )
+
+    def test_stream_aggregates_chunks_into_one_output_message(self):
+        self.configure_valid_response(
+            candidate=types.Candidate(
+                index=0,
+                content=types.Content(
+                    role="model",
+                    parts=[types.Part(text="stream")],
+                ),
+            )
+        )
+        self.configure_valid_response(
+            candidate=types.Candidate(
+                index=0,
+                content=types.Content(
+                    role="model",
+                    parts=[types.Part(text=" output")],
+                ),
+            )
+        )
+        self.configure_valid_response(
+            candidate=types.Candidate(
+                index=0,
+                finish_reason=types.FinishReason.STOP,
+                content=types.Content(
+                    role="model",
+                    parts=[types.Part(text="")],
+                ),
+            )
+        )
+
+        self.generate_content(
+            model="gemini-2.0-flash",
+            contents="Some input",
+        )
+
+        span = self.otel.get_span_named("generate_content gemini-2.0-flash")
+        messages = json.loads(span.attributes["gen_ai.output.messages"])
+        self.assertEqual(
+            messages,
+            [
+                {
+                    "role": "assistant",
+                    "parts": [{"content": "stream output", "type": "text"}],
+                    "finish_reason": "stop",
+                }
+            ],
+        )
+
+    def test_includes_token_counts_in_span_not_aggregated_from_responses(self):
+        # Tokens should not be aggregated in streaming. Cumulative counts are returned on each response.
+        self.configure_valid_response(
+            input_tokens=3, output_tokens=5, response_id="qwerty17"
+        )
+        self.configure_valid_response(
+            input_tokens=3, output_tokens=5, response_id="qwerty18"
+        )
+        self.configure_valid_response(
+            input_tokens=3, output_tokens=5, response_id="qwerty19"
+        )
+
+        self.generate_content(model="gemini-2.0-flash", contents="Some input")
+
+        self.otel.assert_has_span_named("generate_content gemini-2.0-flash")
+        span = self.otel.get_span_named("generate_content gemini-2.0-flash")
+        self.assertEqual(span.attributes["gen_ai.response.id"], "qwerty19")
+        self.assertEqual(span.attributes["gen_ai.usage.input_tokens"], 3)
+        self.assertEqual(span.attributes["gen_ai.usage.output_tokens"], 5)
+
+    def test_log_has_extra_genai_attributes(self):
+        self.configure_valid_response(text="Yep, it works!")
+        tok = context_api.attach(
+            context_api.set_value(
+                GENERATE_CONTENT_EXTRA_ATTRIBUTES_CONTEXT_KEY,
+                {"extra_attribute_key": "extra_attribute_value"},
+            )
+        )
+        try:
+            self.generate_content(
+                model="gemini-2.0-flash",
+                contents="Does this work?",
+            )
+            self.otel.assert_has_event_named(
+                "gen_ai.client.inference.operation.details"
+            )
+            event = self.otel.get_event_named(
+                "gen_ai.client.inference.operation.details"
+            )
+            assert (
+                event.attributes["extra_attribute_key"]
+                == "extra_attribute_value"
+            )
+        finally:
+            context_api.detach(tok)
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_async_nonstreaming.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_async_nonstreaming.py
new file mode 100644
index 000000000..8873825c2
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_async_nonstreaming.py
@@ -0,0 +1,31 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+import asyncio
+
+from .nonstreaming_base import NonStreamingTestCase
+
+
+class TestGenerateContentAsyncNonstreaming(NonStreamingTestCase):
+    def generate_content(self, *args, **kwargs):
+        return asyncio.run(
+            self.client.aio.models.generate_content(*args, **kwargs)  # pylint: disable=missing-kwoa
+        )
+
+    @property
+    def expected_function_name(self):
+        return "google.genai.AsyncModels.generate_content"
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_async_streaming.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_async_streaming.py
new file mode 100644
index 000000000..31e8b7e74
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_async_streaming.py
@@ -0,0 +1,58 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+import asyncio
+
+from .nonstreaming_base import NonStreamingTestCase
+from .streaming_base import StreamingTestCase
+
+
+class AsyncStreamingMixin:
+    @property
+    def expected_function_name(self):
+        return "google.genai.AsyncModels.generate_content_stream"
+
+    async def _generate_content_stream_helper(self, *args, **kwargs):
+        result = []
+        async for (
+            response
+        ) in await self.client.aio.models.generate_content_stream(  # pylint: disable=missing-kwoa
+            *args, **kwargs
+        ):
+            result.append(response)
+        return result
+
+    def generate_content_stream(self, *args, **kwargs):
+        return asyncio.run(
+            self._generate_content_stream_helper(*args, **kwargs)
+        )
+
+
+class TestGenerateContentAsyncStreamingWithSingleResult(
+    AsyncStreamingMixin, NonStreamingTestCase
+):
+    def generate_content(self, *args, **kwargs):
+        responses = self.generate_content_stream(*args, **kwargs)
+        self.assertEqual(len(responses), 1)
+        return responses[0]
+
+
+class TestGenerateContentAsyncStreamingWithStreamedResults(
+    AsyncStreamingMixin, StreamingTestCase
+):
+    def generate_content(self, *args, **kwargs):
+        return self.generate_content_stream(*args, **kwargs)
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_config_span_attributes.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_config_span_attributes.py
new file mode 100644
index 000000000..e9590f990
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_config_span_attributes.py
@@ -0,0 +1,169 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+import os
+from unittest import mock
+
+from google.genai.types import GenerateContentConfig
+
+from opentelemetry.instrumentation.google_genai.allowlist_util import AllowList
+
+from .base import TestCase
+
+
+class ConfigSpanAttributesTestCase(TestCase):
+    def setUp(self):
+        super().setUp()
+        self.configure_valid_response(text="Some response")
+
+    def generate_content(self, *args, **kwargs):
+        return self.client.models.generate_content(*args, **kwargs)
+
+    def generate_and_get_span(self, config):
+        self.client.models.generate_content(
+            model="gemini-2.0-flash",
+            contents="Some input prompt",
+            config=config,
+        )
+        self.otel.assert_has_span_named("generate_content gemini-2.0-flash")
+        return self.otel.get_span_named("generate_content gemini-2.0-flash")
+
+    def test_option_reflected_to_span_attribute_choice_count_config_dict(self):
+        span = self.generate_and_get_span(config={"candidate_count": 2})
+        self.assertEqual(span.attributes["gen_ai.request.choice.count"], 2)
+
+    def test_option_reflected_to_span_attribute_choice_count_config_obj(self):
+        span = self.generate_and_get_span(
+            config=GenerateContentConfig(candidate_count=2)
+        )
+        self.assertEqual(span.attributes["gen_ai.request.choice.count"], 2)
+
+    def test_option_reflected_to_span_attribute_seed_config_dict(self):
+        span = self.generate_and_get_span(config={"seed": 12345})
+        self.assertEqual(span.attributes["gen_ai.request.seed"], 12345)
+
+    def test_option_reflected_to_span_attribute_seed_config_obj(self):
+        span = self.generate_and_get_span(
+            config=GenerateContentConfig(seed=12345)
+        )
+        self.assertEqual(span.attributes["gen_ai.request.seed"], 12345)
+
+    def test_option_reflected_to_span_attribute_frequency_penalty(self):
+        span = self.generate_and_get_span(config={"frequency_penalty": 1.0})
+        self.assertEqual(
+            span.attributes["gen_ai.request.frequency_penalty"], 1.0
+        )
+
+    def test_option_reflected_to_span_attribute_max_tokens(self):
+        span = self.generate_and_get_span(
+            config=GenerateContentConfig(max_output_tokens=5000)
+        )
+        self.assertEqual(span.attributes["gen_ai.request.max_tokens"], 5000)
+
+    def test_option_reflected_to_span_attribute_presence_penalty(self):
+        span = self.generate_and_get_span(
+            config=GenerateContentConfig(presence_penalty=0.5)
+        )
+        self.assertEqual(
+            span.attributes["gen_ai.request.presence_penalty"], 0.5
+        )
+
+    def test_option_reflected_to_span_attribute_stop_sequences(self):
+        span = self.generate_and_get_span(
+            config={"stop_sequences": ["foo", "bar"]}
+        )
+        stop_sequences = span.attributes["gen_ai.request.stop_sequences"]
+        self.assertEqual(len(stop_sequences), 2)
+        self.assertEqual(stop_sequences[0], "foo")
+        self.assertEqual(stop_sequences[1], "bar")
+
+    def test_option_reflected_to_span_attribute_top_k(self):
+        span = self.generate_and_get_span(
+            config=GenerateContentConfig(top_k=20)
+        )
+        self.assertEqual(span.attributes["gen_ai.request.top_k"], 20)
+
+    def test_option_reflected_to_span_attribute_top_p(self):
+        span = self.generate_and_get_span(config={"top_p": 10})
+        self.assertEqual(span.attributes["gen_ai.request.top_p"], 10)
+
+    @mock.patch.dict(
+        os.environ,
+        {
+            "OTEL_GOOGLE_GENAI_GENERATE_CONTENT_CONFIG_INCLUDES": "*",
+            "OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "NO_CONTENT",
+        },
+    )
+    def test_option_not_reflected_to_span_attribute_system_instruction(self):
+        span = self.generate_and_get_span(
+            config={"system_instruction": "Yadda yadda yadda"}
+        )
+        self.assertNotIn(
+            "gcp.gen_ai.operation.config.system_instruction", span.attributes
+        )
+        self.assertNotIn("gen_ai.request.system_instruction", span.attributes)
+        for key in span.attributes:
+            value = span.attributes[key]
+            if isinstance(value, str):
+                self.assertNotIn("Yadda yadda yadda", value)
+
+    @mock.patch.dict(
+        os.environ, {"OTEL_GOOGLE_GENAI_GENERATE_CONTENT_CONFIG_INCLUDES": "*"}
+    )
+    def test_option_reflected_to_span_attribute_automatic_func_calling(self):
+        span = self.generate_and_get_span(
+            config={
+                "automatic_function_calling": {
+                    "ignore_call_history": True,
+                }
+            }
+        )
+        self.assertTrue(
+            span.attributes[
+                "gcp.gen_ai.operation.config.automatic_function_calling.ignore_call_history"
+            ]
+        )
+
+    def test_dynamic_config_options_not_included_without_allow_list(self):
+        span = self.generate_and_get_span(
+            config={
+                "automatic_function_calling": {
+                    "ignore_call_history": True,
+                }
+            }
+        )
+        self.assertNotIn(
+            "gcp.gen_ai.operation.config.automatic_function_calling.ignore_call_history",
+            span.attributes,
+        )
+
+    def test_can_supply_allow_list_via_instrumentor_constructor(self):
+        self.set_instrumentor_constructor_kwarg(
+            "generate_content_config_key_allowlist", AllowList(includes=["*"])
+        )
+        span = self.generate_and_get_span(
+            config={
+                "automatic_function_calling": {
+                    "ignore_call_history": True,
+                }
+            }
+        )
+        self.assertTrue(
+            span.attributes[
+                "gcp.gen_ai.operation.config.automatic_function_calling.ignore_call_history"
+            ]
+        )
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_finish_reasons.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_finish_reasons.py
new file mode 100644
index 000000000..1508bddbb
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_finish_reasons.py
@@ -0,0 +1,157 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+
+from google.genai import types as genai_types
+
+from .base import TestCase
+
+
+class FinishReasonsTestCase(TestCase):
+    def generate_and_get_span_finish_reasons(self):
+        self.client.models.generate_content(
+            model="gemini-2.5-flash-001", contents="Some prompt"
+        )
+        span = self.otel.get_span_named(
+            "generate_content gemini-2.5-flash-001"
+        )
+        assert span is not None
+        if "gen_ai.response.finish_reasons" not in span.attributes:
+            return []
+        return list(span.attributes["gen_ai.response.finish_reasons"])
+
+    def test_single_candidate_with_valid_reason(self):
+        self.configure_valid_response(
+            candidate=genai_types.Candidate(
+                finish_reason=genai_types.FinishReason.STOP
+            )
+        )
+        self.assertEqual(self.generate_and_get_span_finish_reasons(), ["stop"])
+
+    def test_single_candidate_with_safety_reason(self):
+        self.configure_valid_response(
+            candidate=genai_types.Candidate(
+                finish_reason=genai_types.FinishReason.SAFETY
+            )
+        )
+        self.assertEqual(
+            self.generate_and_get_span_finish_reasons(), ["safety"]
+        )
+
+    def test_single_candidate_with_max_tokens_reason(self):
+        self.configure_valid_response(
+            candidate=genai_types.Candidate(
+                finish_reason=genai_types.FinishReason.MAX_TOKENS
+            )
+        )
+        self.assertEqual(
+            self.generate_and_get_span_finish_reasons(), ["max_tokens"]
+        )
+
+    def test_single_candidate_with_no_reason(self):
+        self.configure_valid_response(
+            candidate=genai_types.Candidate(finish_reason=None)
+        )
+        self.assertEqual(self.generate_and_get_span_finish_reasons(), [])
+
+    def test_single_candidate_with_unspecified_reason(self):
+        self.configure_valid_response(
+            candidate=genai_types.Candidate(
+                finish_reason=genai_types.FinishReason.FINISH_REASON_UNSPECIFIED
+            )
+        )
+        self.assertEqual(
+            self.generate_and_get_span_finish_reasons(),
+            ["finish_reason_unspecified"],
+        )
+
+    def test_multiple_candidates_with_valid_reasons(self):
+        self.configure_valid_response(
+            candidates=[
+                genai_types.Candidate(
+                    finish_reason=genai_types.FinishReason.MAX_TOKENS
+                ),
+                genai_types.Candidate(
+                    finish_reason=genai_types.FinishReason.STOP
+                ),
+            ]
+        )
+        self.assertEqual(
+            self.generate_and_get_span_finish_reasons(), ["max_tokens", "stop"]
+        )
+
+    def test_doesnt_sort_finish_reasons(self):
+        self.configure_valid_response(
+            candidates=[
+                genai_types.Candidate(
+                    finish_reason=genai_types.FinishReason.STOP
+                ),
+                genai_types.Candidate(
+                    finish_reason=genai_types.FinishReason.MAX_TOKENS
+                ),
+                genai_types.Candidate(
+                    finish_reason=genai_types.FinishReason.SAFETY
+                ),
+            ]
+        )
+        self.assertEqual(
+            self.generate_and_get_span_finish_reasons(),
+            ["stop", "max_tokens", "safety"],
+        )
+
+    def test_doesnt_deduplicate_finish_reasons(self):
+        self.configure_valid_response(
+            candidates=[
+                genai_types.Candidate(
+                    finish_reason=genai_types.FinishReason.STOP
+                ),
+                genai_types.Candidate(
+                    finish_reason=genai_types.FinishReason.MAX_TOKENS
+                ),
+                genai_types.Candidate(
+                    finish_reason=genai_types.FinishReason.STOP
+                ),
+                genai_types.Candidate(
+                    finish_reason=genai_types.FinishReason.STOP
+                ),
+                genai_types.Candidate(
+                    finish_reason=genai_types.FinishReason.SAFETY
+                ),
+                genai_types.Candidate(
+                    finish_reason=genai_types.FinishReason.STOP
+                ),
+                genai_types.Candidate(
+                    finish_reason=genai_types.FinishReason.STOP
+                ),
+                genai_types.Candidate(
+                    finish_reason=genai_types.FinishReason.STOP
+                ),
+            ]
+        )
+        self.assertEqual(
+            self.generate_and_get_span_finish_reasons(),
+            [
+                "stop",
+                "max_tokens",
+                "stop",
+                "stop",
+                "safety",
+                "stop",
+                "stop",
+                "stop",
+            ],
+        )
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_stream_accumulator.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_stream_accumulator.py
new file mode 100644
index 000000000..1cd0dbe33
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_stream_accumulator.py
@@ -0,0 +1,137 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from typing import Optional
+
+from google.genai import types
+
+from opentelemetry.instrumentation.google_genai.message import (
+    StreamOutputMessageAccumulator,
+)
+from opentelemetry.util.genai.types import Reasoning, Text, ToolCall
+
+
+def _candidate(
+    index: int,
+    *parts: types.Part,
+    finish_reason: Optional[types.FinishReason] = None,
+) -> types.Candidate:
+    return types.Candidate(
+        index=index,
+        finish_reason=finish_reason,
+        content=types.Content(role="model", parts=list(parts)),
+    )
+
+
+def test_groups_text_chunks_by_candidate_index() -> None:
+    accumulator = StreamOutputMessageAccumulator()
+    accumulator.add_candidates(
+        [
+            _candidate(0, types.Part(text="first")),
+            _candidate(1, types.Part(text="second")),
+        ]
+    )
+    accumulator.add_candidates(
+        [
+            _candidate(0, types.Part(text=" answer")),
+            _candidate(1, types.Part(text=" choice")),
+        ]
+    )
+    accumulator.add_candidates(
+        [
+            _candidate(
+                0,
+                types.Part(text=""),
+                finish_reason=types.FinishReason.STOP,
+            ),
+            _candidate(
+                1,
+                types.Part(text=""),
+                finish_reason=types.FinishReason.MAX_TOKENS,
+            ),
+        ]
+    )
+
+    messages = accumulator.to_output_messages()
+
+    assert len(messages) == 2
+    assert messages[0].parts == [Text(content="first answer")]
+    assert messages[0].finish_reason == "stop"
+    assert messages[1].parts == [Text(content="second choice")]
+    assert messages[1].finish_reason == "length"
+
+
+def test_preserves_reasoning_and_text_as_separate_parts() -> None:
+    accumulator = StreamOutputMessageAccumulator()
+    accumulator.add_candidates(
+        [_candidate(0, types.Part(text="think ", thought=True))]
+    )
+    accumulator.add_candidates(
+        [_candidate(0, types.Part(text="carefully", thought=True))]
+    )
+    accumulator.add_candidates([_candidate(0, types.Part(text="answer"))])
+    accumulator.add_candidates(
+        [
+            _candidate(
+                0,
+                types.Part(text=""),
+                finish_reason=types.FinishReason.STOP,
+            )
+        ]
+    )
+
+    message = accumulator.to_output_messages()[0]
+
+    assert message.parts == [
+        Reasoning(content="think carefully"),
+        Text(content="answer"),
+    ]
+    assert message.finish_reason == "stop"
+
+
+def test_merges_function_call_fragments() -> None:
+    accumulator = StreamOutputMessageAccumulator()
+    accumulator.add_candidates(
+        [
+            _candidate(
+                0,
+                types.Part.from_function_call(
+                    name="get_weather",
+                    args={"city": "Hangzhou"},
+                ),
+            )
+        ]
+    )
+    accumulator.add_candidates(
+        [
+            _candidate(
+                0,
+                types.Part.from_function_call(
+                    name="get_weather",
+                    args={"unit": "C"},
+                ),
+                finish_reason=types.FinishReason.STOP,
+            )
+        ]
+    )
+
+    message = accumulator.to_output_messages()[0]
+
+    assert len(message.parts) == 1
+    assert isinstance(message.parts[0], ToolCall)
+    assert message.parts[0].name == "get_weather"
+    assert message.parts[0].arguments == {
+        "city": "Hangzhou",
+        "unit": "C",
+    }
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_sync_nonstreaming.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_sync_nonstreaming.py
new file mode 100644
index 000000000..3dc644ed2
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_sync_nonstreaming.py
@@ -0,0 +1,28 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+
+from .nonstreaming_base import NonStreamingTestCase
+
+
+class TestGenerateContentSyncNonstreaming(NonStreamingTestCase):
+    def generate_content(self, *args, **kwargs):
+        return self.client.models.generate_content(*args, **kwargs)
+
+    @property
+    def expected_function_name(self):
+        return "google.genai.Models.generate_content"
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_sync_streaming.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_sync_streaming.py
new file mode 100644
index 000000000..660aaa857
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/test_sync_streaming.py
@@ -0,0 +1,50 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+
+from .nonstreaming_base import NonStreamingTestCase
+from .streaming_base import StreamingTestCase
+
+
+class StreamingMixin:
+    @property
+    def expected_function_name(self):
+        return "google.genai.Models.generate_content_stream"
+
+    def generate_content_stream(self, *args, **kwargs):
+        result = []
+        for response in self.client.models.generate_content_stream(  # pylint: disable=missing-kwoa
+            *args, **kwargs
+        ):
+            result.append(response)
+        return result
+
+
+class TestGenerateContentStreamingWithSingleResult(
+    StreamingMixin, NonStreamingTestCase
+):
+    def generate_content(self, *args, **kwargs):
+        responses = self.generate_content_stream(*args, **kwargs)
+        self.assertEqual(len(responses), 1)
+        return responses[0]
+
+
+class TestGenerateContentStreamingWithStreamedResults(
+    StreamingMixin, StreamingTestCase
+):
+    def generate_content(self, *args, **kwargs):
+        return self.generate_content_stream(*args, **kwargs)
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/util.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/util.py
new file mode 100644
index 000000000..a5c552e49
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/generate_content/util.py
@@ -0,0 +1,84 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+from typing import List, Optional, Union
+
+import google.genai.types as genai_types
+
+
+def create_response(
+    part: Optional[genai_types.Part] = None,
+    parts: Optional[List[genai_types.Part]] = None,
+    content: Optional[genai_types.Content] = None,
+    candidate: Optional[genai_types.Candidate] = None,
+    candidates: Optional[List[genai_types.Candidate]] = None,
+    text: Optional[str] = None,
+    input_tokens: Optional[int] = 0,
+    thinking_tokens: Optional[int] = None,
+    output_tokens: Optional[int] = 0,
+    cached_tokens: Optional[int] = None,
+    model_version: Optional[str] = None,
+    usage_metadata: Optional[
+        genai_types.GenerateContentResponseUsageMetadata
+    ] = None,
+    **kwargs,
+) -> genai_types.GenerateContentResponse:
+    # Build up the "candidates" subfield
+    if text is None:
+        text = "Some response text"
+    if part is None:
+        part = genai_types.Part(text=text)
+    if parts is None:
+        parts = [part]
+    if content is None:
+        content = genai_types.Content(parts=parts, role="model")
+    if candidate is None:
+        candidate = genai_types.Candidate(content=content)
+    if candidates is None:
+        candidates = [candidate]
+
+    # Build up the "usage_metadata" subfield
+    if usage_metadata is None:
+        usage_metadata = genai_types.GenerateContentResponseUsageMetadata()
+    if input_tokens is not None:
+        usage_metadata.prompt_token_count = input_tokens
+    if output_tokens is not None:
+        usage_metadata.candidates_token_count = output_tokens
+    if cached_tokens is not None:
+        usage_metadata.cached_content_token_count = cached_tokens
+    if thinking_tokens is not None:
+        usage_metadata.thoughts_token_count = thinking_tokens
+    return genai_types.GenerateContentResponse(
+        candidates=candidates,
+        usage_metadata=usage_metadata,
+        model_version=model_version,
+        **kwargs,
+    )
+
+
+def convert_to_response(
+    arg: Union[str, genai_types.GenerateContentResponse, dict],
+) -> genai_types.GenerateContentResponse:
+    if isinstance(arg, str):
+        return create_response(text=arg)
+    if isinstance(arg, genai_types.GenerateContentResponse):
+        return arg
+    if isinstance(arg, dict):
+        return create_response(**arg)
+    raise ValueError(
+        f"Unsure how to convert {arg} of type {arg.__class__.__name__} to response."
+    )
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/__init__.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/__init__.py
new file mode 100644
index 000000000..cceb2a6af
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/__init__.py
@@ -0,0 +1,16 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/base.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/base.py
new file mode 100644
index 000000000..a788d91b4
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/base.py
@@ -0,0 +1,315 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+import unittest
+import unittest.mock
+from typing import Any, List, Optional
+from unittest.mock import patch
+
+try:
+    try:
+        from google.genai._interactions.resources.interactions import (
+            AsyncInteractionsResource,
+            InteractionsResource,
+        )
+    except ImportError:
+        # In version 2.9 of google-genai these were moved.
+        from google.genai._gaos.interactions import (
+            AsyncInteractions as AsyncInteractionsResource,
+        )
+        from google.genai._gaos.interactions import (
+            Interactions as InteractionsResource,
+        )
+    _HAS_INTERACTIONS = True
+except ImportError:
+    _HAS_INTERACTIONS = False
+
+    # Placeholders to prevent compilation errors
+    class AsyncInteractionsResource:
+        create = None
+
+    class InteractionsResource:
+        create = None
+
+
+from opentelemetry.semconv._incubating.attributes import (
+    gen_ai_attributes as GenAIAttributes,
+)
+
+from ..common.base import TestCase as CommonTestCaseBase
+from .util import create_mock_completed_event, create_mock_interaction
+
+
+class TestCase(CommonTestCaseBase):
+    def setUp(self) -> None:
+        super().setUp()
+        if not _HAS_INTERACTIONS:
+            raise unittest.SkipTest(
+                "Interactions are not supported in this version of google-genai"
+            )
+        if self.__class__ == TestCase:
+            raise unittest.SkipTest("Skipping testcase base.")
+        self._create_mock = None
+        self._original_create = InteractionsResource.create
+        self._original_async_create = AsyncInteractionsResource.create
+        self._interactions: List[Any] = []
+        self._interaction_index = 0
+        self._completed_event_type = "interaction_completed"
+
+    @property
+    def mock_create(self) -> unittest.mock.MagicMock:
+        if self._create_mock is None:
+            self._create_and_install_mocks()
+        assert self._create_mock is not None
+        return self._create_mock
+
+    def configure_valid_interaction(self, **kwargs: Any) -> None:
+        self._create_and_install_mocks()
+        interaction = create_mock_interaction(**kwargs)
+        self._interactions.append(interaction)
+
+    def configure_exception(self, e: Exception) -> None:
+        self._create_and_install_mocks(e)
+
+    def _create_and_install_mocks(self, e: Optional[Exception] = None) -> None:
+        if self._create_mock is not None:
+            return
+        self.reset_client()
+        self.reset_instrumentation()
+        self._create_mock = self._create_mock_impl(e)
+        self._install_mocks()
+
+    def _create_mock_impl(
+        self, e: Optional[Exception] = None
+    ) -> unittest.mock.MagicMock:
+        mock = unittest.mock.MagicMock()
+
+        def _default_impl(*args: Any, **kwargs: Any) -> Any:
+            if not self._interactions:
+                result = create_mock_interaction()
+            else:
+                index = self._interaction_index % len(self._interactions)
+                result = self._interactions[index]
+                self._interaction_index += 1
+
+            if kwargs.get("stream"):
+                completed_event = create_mock_completed_event(result)
+                completed_event.event_type = self._completed_event_type
+                return [completed_event]
+            return result
+
+        mock.side_effect = e or _default_impl
+        return mock
+
+    def _install_mocks(self) -> None:
+        def _sync_create_wrapped(*args: Any, **kwargs: Any) -> Any:
+            assert self._create_mock is not None
+            return self._create_mock(*args, **kwargs)
+
+        async def _async_create_wrapped(*args: Any, **kwargs: Any) -> Any:
+            assert self._create_mock is not None
+            res = self._create_mock(*args, **kwargs)
+            if kwargs.get("stream"):
+
+                async def _async_generator() -> Any:
+                    for item in res:
+                        yield item
+
+                return _async_generator()
+            return res
+
+        InteractionsResource.create = _sync_create_wrapped
+        AsyncInteractionsResource.create = _async_create_wrapped
+
+    def tearDown(self) -> None:
+        super().tearDown()
+        InteractionsResource.create = self._original_create
+        AsyncInteractionsResource.create = self._original_async_create
+
+    # Abstract methods to be overridden by subclasses
+    def run_interaction(self, *args: Any, **kwargs: Any) -> Any:
+        raise NotImplementedError()
+
+    def run_streaming_interaction(
+        self, *args: Any, **kwargs: Any
+    ) -> List[Any]:
+        raise NotImplementedError()
+
+    # The actual collapsed test cases:
+    def test_instrumentation_does_not_break_core_functionality(self) -> None:
+        self.configure_valid_interaction(
+            interaction_id="test-id",
+            output_text="Yep, it works!",
+        )
+        response = self.run_interaction(
+            model="gemini-2.5-flash", input="Does this work?"
+        )
+        self.assertEqual(response.id, "test-id")
+        self.assertEqual(response.steps[1].content[0].text, "Yep, it works!")
+
+    def test_generates_span(self) -> None:
+        self.configure_valid_interaction()
+        self.run_interaction(model="gemini-2.5-flash", input="Does this work?")
+        self.otel.assert_has_span_named("interactions.create gemini-2.5-flash")
+
+    def test_model_reflected_into_span_name(self) -> None:
+        self.configure_valid_interaction()
+        self.run_interaction(model="gemini-1.5-flash", input="Does this work?")
+        self.otel.assert_has_span_named("interactions.create gemini-1.5-flash")
+
+    def test_generated_span_has_minimal_genai_attributes(self) -> None:
+        self.configure_valid_interaction()
+        self.run_interaction(model="gemini-2.5-flash", input="Does this work?")
+        span = self.otel.get_span_named("interactions.create gemini-2.5-flash")
+        self.assertEqual(span.attributes["gen_ai.provider.name"], "gemini")
+        self.assertEqual(
+            span.attributes["gen_ai.operation.name"], "interactions.create"
+        )
+        self.assertEqual(
+            span.attributes["server.address"],
+            "generativelanguage.googleapis.com",
+        )
+
+    def test_span_and_event_still_written_when_response_is_exception(
+        self,
+    ) -> None:
+        self.configure_exception(ValueError("Uh oh!"))
+        with self.assertRaises(ValueError):
+            self.run_interaction(
+                model="gemini-2.5-flash", input="Does this work?"
+            )
+        self.otel.assert_has_span_named("interactions.create gemini-2.5-flash")
+        span = self.otel.get_span_named("interactions.create gemini-2.5-flash")
+        self.otel.assert_has_event_named(
+            "gen_ai.client.inference.operation.details"
+        )
+        event = self.otel.get_event_named(
+            "gen_ai.client.inference.operation.details"
+        )
+        self.assertEqual(span.attributes["error.type"], "ValueError")
+        self.assertEqual(event.attributes["error.type"], "ValueError")
+
+    def test_generated_span_has_vertex_ai_system_when_configured(self) -> None:
+        self.set_use_vertex(True)
+        self.configure_valid_interaction()
+        self.run_interaction(model="gemini-2.5-flash", input="Does this work?")
+        span = self.otel.get_span_named("interactions.create gemini-2.5-flash")
+        self.assertEqual(span.attributes["gen_ai.provider.name"], "vertex_ai")
+        self.assertEqual(
+            span.attributes["gen_ai.operation.name"], "interactions.create"
+        )
+
+    def test_generated_span_counts_tokens(self) -> None:
+        self.configure_valid_interaction(
+            input_tokens=15,
+            output_tokens=25,
+        )
+        self.run_interaction(model="gemini-2.5-flash", input="Some input")
+        span = self.otel.get_span_named("interactions.create gemini-2.5-flash")
+        self.assertEqual(span.attributes["gen_ai.usage.input_tokens"], 15)
+        self.assertEqual(span.attributes["gen_ai.usage.output_tokens"], 25)
+
+    @patch.dict(
+        "os.environ",
+        {"OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "SPAN_ONLY"},
+    )
+    def test_span_attributes_with_content_capture(self) -> None:
+        self.configure_valid_interaction(
+            input_text="Hello interactions!",
+            output_text="Response from interactions!",
+        )
+        self.run_interaction(
+            model="gemini-2.5-flash",
+            input="Hello interactions!",
+        )
+        span = self.otel.get_span_named("interactions.create gemini-2.5-flash")
+        self.assertEqual(
+            span.attributes[GenAIAttributes.GEN_AI_INPUT_MESSAGES],
+            '[{"role":"user","parts":[{"content":"Hello interactions!","type":"text"}]}]',
+        )
+        self.assertEqual(
+            span.attributes[GenAIAttributes.GEN_AI_OUTPUT_MESSAGES],
+            '[{"role":"assistant","parts":[{"content":"Response from interactions!","type":"text"}],"finish_reason":"stop"}]',
+        )
+
+    @patch.dict(
+        "os.environ",
+        {"OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "NO_CONTENT"},
+    )
+    def test_span_attributes_no_content_capture(self) -> None:
+        self.configure_valid_interaction(
+            input_text="Hello interactions!",
+            output_text="Response from interactions!",
+        )
+        self.run_interaction(
+            model="gemini-2.5-flash",
+            input="Hello interactions!",
+        )
+        span = self.otel.get_span_named("interactions.create gemini-2.5-flash")
+        for attribute in (
+            GenAIAttributes.GEN_AI_INPUT_MESSAGES,
+            GenAIAttributes.GEN_AI_OUTPUT_MESSAGES,
+        ):
+            self.assertNotIn(attribute, span.attributes)
+
+    def test_streaming_generates_span(self) -> None:
+        self.configure_valid_interaction(
+            interaction_id="stream-id-1",
+            model_name="gemini-2.5-flash",
+            output_text="Streaming response!",
+            input_tokens=5,
+            output_tokens=8,
+        )
+        events = self.run_streaming_interaction(
+            model="gemini-2.5-flash",
+            input="Streaming test",
+            stream=True,
+        )
+        self.assertEqual(len(events), 1)
+        self.assertEqual(events[0].interaction.id, "stream-id-1")
+
+        self.otel.assert_has_span_named("interactions.create gemini-2.5-flash")
+        span = self.otel.get_span_named("interactions.create gemini-2.5-flash")
+        self.assertEqual(span.attributes["gen_ai.usage.input_tokens"], 5)
+        self.assertEqual(span.attributes["gen_ai.usage.output_tokens"], 8)
+        self.assertGreater(
+            span.attributes["gen_ai.response.time_to_first_token"], 0
+        )
+
+    def test_streaming_accepts_real_sdk_completed_event_name(self) -> None:
+        self._completed_event_type = "interaction.completed"
+        self.configure_valid_interaction(
+            interaction_id="stream-id-real-sdk",
+            model_name="gemini-2.5-flash",
+            output_text="Real SDK streaming response!",
+            input_tokens=6,
+            output_tokens=9,
+        )
+        events = self.run_streaming_interaction(
+            model="gemini-2.5-flash",
+            input="Real SDK streaming test",
+            stream=True,
+        )
+        self.assertEqual(events[0].event_type, "interaction.completed")
+        span = self.otel.get_span_named("interactions.create gemini-2.5-flash")
+        self.assertEqual(span.attributes["gen_ai.usage.input_tokens"], 6)
+        self.assertEqual(span.attributes["gen_ai.usage.output_tokens"], 9)
+        self.assertEqual(
+            span.attributes["gen_ai.response.model"], "gemini-2.5-flash"
+        )
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/test_interactions_async.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/test_interactions_async.py
new file mode 100644
index 000000000..35bdeaf10
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/test_interactions_async.py
@@ -0,0 +1,42 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+import asyncio
+from typing import Any, List
+
+from .base import TestCase
+
+
+class TestInteractionsAsync(TestCase):
+    def run_interaction(self, *args: Any, **kwargs: Any) -> Any:
+        return asyncio.run(
+            self.client.aio.interactions.create(*args, **kwargs)
+        )
+
+    def run_streaming_interaction(
+        self, *args: Any, **kwargs: Any
+    ) -> List[Any]:
+        async def _run() -> List[Any]:
+            stream = await self.client.aio.interactions.create(*args, **kwargs)
+            events = []
+            async for event in stream:
+                events.append(event)
+            return events
+
+        return asyncio.run(_run())
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/test_interactions_sync.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/test_interactions_sync.py
new file mode 100644
index 000000000..18a9218f8
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/test_interactions_sync.py
@@ -0,0 +1,33 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+from typing import Any, List
+
+from .base import TestCase
+
+
+class TestInteractionsSync(TestCase):
+    def run_interaction(self, *args: Any, **kwargs: Any) -> Any:
+        return self.client.interactions.create(*args, **kwargs)
+
+    def run_streaming_interaction(
+        self, *args: Any, **kwargs: Any
+    ) -> List[Any]:
+        stream = self.client.interactions.create(*args, **kwargs)
+        return list(stream)
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/test_parser.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/test_parser.py
new file mode 100644
index 000000000..9a0490db0
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/test_parser.py
@@ -0,0 +1,145 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+import unittest
+import unittest.mock
+
+from opentelemetry.instrumentation.google_genai._compat import GenericPart
+from opentelemetry.instrumentation.google_genai.interactions import (
+    _HAS_INTERACTIONS,
+    _interactions_input_to_messages,
+    _interactions_response_to_messages,
+)
+from opentelemetry.util.genai.types import (
+    Text,
+    ToolCallResponse,
+    Uri,
+)
+from opentelemetry.util.genai.types import (
+    ToolCall as ToolCallRequest,
+)
+
+
+@unittest.skipIf(
+    not _HAS_INTERACTIONS,
+    "Interactions are not supported in this version of google-genai",
+)
+class TestInteractionsParser(unittest.TestCase):
+    def test_input_to_messages_none(self) -> None:
+        self.assertEqual(_interactions_input_to_messages(None), [])
+
+    def test_input_to_messages_str(self) -> None:
+        messages = _interactions_input_to_messages("Hello world")
+        self.assertEqual(messages[0].role, "user")
+        self.assertEqual(len(messages[0].parts), 1)
+        self.assertIsInstance(messages[0].parts[0], Text)
+        self.assertEqual(messages[0].parts[0].content, "Hello world")
+
+    def test_input_to_messages_list_of_strings(self) -> None:
+        messages = _interactions_input_to_messages(["Hello", "world"])
+        self.assertEqual(len(messages[0].parts), 2)
+        self.assertIsInstance(messages[0].parts[0], Text)
+        self.assertEqual(messages[0].parts[0].content, "Hello")
+        self.assertIsInstance(messages[0].parts[1], Text)
+        self.assertEqual(messages[0].parts[1].content, "world")
+
+    def test_input_to_messages_text_step(self) -> None:
+        steps = [{"type": "text", "text": "Hello text step"}]
+        messages = _interactions_input_to_messages(steps)
+        self.assertEqual(len(messages[0].parts), 1)
+        self.assertIsInstance(messages[0].parts[0], Text)
+        self.assertEqual(messages[0].parts[0].content, "Hello text step")
+
+    def test_input_to_messages_document_step(self) -> None:
+        steps = [
+            {
+                "type": "document",
+                "mime_type": "application/pdf",
+                "uri": "https://example.com/doc.pdf",
+            }
+        ]
+        messages = _interactions_input_to_messages(steps)
+        self.assertEqual(len(messages[0].parts), 1)
+        self.assertIsInstance(messages[0].parts[0], Uri)
+        self.assertEqual(messages[0].parts[0].mime_type, "application/pdf")
+        self.assertEqual(messages[0].parts[0].modality, "document")
+        self.assertEqual(
+            messages[0].parts[0].uri, "https://example.com/doc.pdf"
+        )
+
+    def test_input_to_messages_tool_call_step(self) -> None:
+        steps = [
+            {
+                "type": "function_call",
+                "id": "call-123",
+                "name": "calc",
+                "arguments": {"x": 5},
+            }
+        ]
+        messages = _interactions_input_to_messages(steps)
+        self.assertEqual(len(messages[0].parts), 1)
+        self.assertIsInstance(messages[0].parts[0], ToolCallRequest)
+        self.assertEqual(messages[0].parts[0].id, "call-123")
+        self.assertEqual(messages[0].parts[0].name, "calc")
+        self.assertEqual(messages[0].parts[0].arguments, {"x": 5})
+
+    def test_input_to_messages_tool_result_step(self) -> None:
+        steps = [
+            {
+                "type": "function_result",
+                "call_id": "call-123",
+                "result": {"val": 10},
+            }
+        ]
+        messages = _interactions_input_to_messages(steps)
+        self.assertEqual(len(messages[0].parts), 1)
+        self.assertIsInstance(messages[0].parts[0], ToolCallResponse)
+        self.assertEqual(messages[0].parts[0].id, "call-123")
+        self.assertEqual(messages[0].parts[0].response, {"val": 10})
+
+    def test_input_to_messages_generic_fallback(self) -> None:
+        steps = [{"type": "some_unsupported_type"}]
+        messages = _interactions_input_to_messages(steps)
+        self.assertEqual(len(messages[0].parts), 1)
+        self.assertIsInstance(messages[0].parts[0], GenericPart)
+        self.assertEqual(messages[0].parts[0].value, "dict")
+
+    def test_input_to_messages_single_non_sequence_step(self) -> None:
+        step = {"type": "text", "text": "Hello single step"}
+        messages = _interactions_input_to_messages(step)
+        self.assertEqual(len(messages[0].parts), 1)
+        self.assertIsInstance(messages[0].parts[0], Text)
+        self.assertEqual(messages[0].parts[0].content, "Hello single step")
+
+    def test_input_to_messages_none_type_fall_through(self) -> None:
+        step = {"other_field": "no type specified"}
+        messages = _interactions_input_to_messages(step)
+        self.assertEqual(len(messages[0].parts), 0)
+
+    def test_response_to_messages(self) -> None:
+        mock_interaction = unittest.mock.MagicMock()
+        mock_interaction.output_text = "Model response text"
+
+        messages = _interactions_response_to_messages(mock_interaction)
+
+        self.assertEqual(messages[0].role, "assistant")
+        self.assertEqual(messages[0].finish_reason, "stop")
+        self.assertEqual(len(messages[0].parts), 1)
+        self.assertIsInstance(messages[0].parts[0], Text)
+        self.assertEqual(messages[0].parts[0].content, "Model response text")
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/util.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/util.py
new file mode 100644
index 000000000..29a66f8da
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/interactions/util.py
@@ -0,0 +1,64 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+from __future__ import annotations
+
+import unittest.mock
+from typing import Any
+
+
+def create_mock_interaction(
+    interaction_id: str = "test-id",
+    model_name: str = "test-model",
+    input_text: str = "user input",
+    output_text: str = "model output",
+    input_tokens: int = 10,
+    output_tokens: int = 20,
+) -> Any:
+    mock_usage = unittest.mock.MagicMock()
+    mock_usage.total_input_tokens = input_tokens
+    mock_usage.total_output_tokens = output_tokens
+    mock_usage.total_thought_tokens = 0
+    mock_usage.total_cached_tokens = 0
+
+    mock_user_step = unittest.mock.MagicMock()
+    mock_user_step.type = "user_input"
+    mock_user_part = unittest.mock.MagicMock()
+    mock_user_part.text = input_text
+    mock_user_step.content = [mock_user_part]
+
+    mock_model_step = unittest.mock.MagicMock()
+    mock_model_step.type = "model_output"
+    mock_model_part = unittest.mock.MagicMock()
+    mock_model_part.text = output_text
+    mock_model_step.content = [mock_model_part]
+
+    mock_interaction = unittest.mock.MagicMock()
+    mock_interaction.id = interaction_id
+    mock_interaction.model = model_name
+    mock_interaction.usage = mock_usage
+    mock_interaction.steps = [mock_user_step, mock_model_step]
+    mock_interaction.output_text = output_text
+
+    return mock_interaction
+
+
+def create_mock_completed_event(interaction: Any) -> Any:
+    event = unittest.mock.MagicMock()
+    event.event_type = "interaction_completed"
+    event.interaction = interaction
+    return event
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/requirements.latest.txt b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/requirements.latest.txt
new file mode 100644
index 000000000..df0e7edcc
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/requirements.latest.txt
@@ -0,0 +1,9 @@
+google-genai==1.47.0; python_version < "3.10"
+google-genai>=2.14.0,<3; python_version >= "3.10"
+pytest
+pytest-asyncio
+pytest-vcr
+vcrpy
+-e opentelemetry-instrumentation
+-e util/opentelemetry-util-genai
+-e instrumentation-loongsuite/loongsuite-instrumentation-google-genai
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/requirements.oldest.txt b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/requirements.oldest.txt
new file mode 100644
index 000000000..5c0eeb034
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/requirements.oldest.txt
@@ -0,0 +1,11 @@
+google-genai==1.32.0
+opentelemetry-api==1.37.0
+opentelemetry-sdk==1.37.0
+opentelemetry-instrumentation==0.58b0
+opentelemetry-semantic-conventions==0.58b0
+pytest
+pytest-asyncio
+pytest-vcr
+vcrpy
+-e util/opentelemetry-util-genai
+-e instrumentation-loongsuite/loongsuite-instrumentation-google-genai
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/test_client_info.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/test_client_info.py
new file mode 100644
index 000000000..2c0974f13
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/test_client_info.py
@@ -0,0 +1,89 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from types import SimpleNamespace
+
+import pytest
+
+from opentelemetry.instrumentation.google_genai.client_info import (
+    get_client_info,
+)
+
+
+def _client(server_url: str) -> SimpleNamespace:
+    return SimpleNamespace(
+        sdk_configuration=SimpleNamespace(server_url=server_url)
+    )
+
+
+@pytest.mark.parametrize(
+    "server_url, expected_address",
+    [
+        (
+            "https://aiplatform.googleapis.com/v1",
+            "aiplatform.googleapis.com",
+        ),
+        (
+            "https://us-central1-aiplatform.googleapis.com/v1",
+            "us-central1-aiplatform.googleapis.com",
+        ),
+        (
+            "HTTPS://AIPLATFORM.GOOGLEAPIS.COM/v1",
+            "aiplatform.googleapis.com",
+        ),
+        (
+            "us-central1-aiplatform.googleapis.com",
+            "us-central1-aiplatform.googleapis.com",
+        ),
+    ],
+)
+def test_vertex_hostname_is_recognized(
+    server_url: str,
+    expected_address: str,
+) -> None:
+    is_vertex, server_address = get_client_info(_client(server_url))
+
+    assert is_vertex
+    assert server_address == expected_address
+
+
+@pytest.mark.parametrize(
+    "server_url, expected_address",
+    [
+        (
+            "https://aiplatform.googleapis.com.evil.example/v1",
+            "aiplatform.googleapis.com.evil.example",
+        ),
+        (
+            "https://evil.example/v1?next=aiplatform.googleapis.com",
+            "evil.example",
+        ),
+        (
+            "https://aiplatform.googleapis.com@evil.example/v1",
+            "evil.example",
+        ),
+        (
+            "aiplatform.googleapis.com.evil.example",
+            "aiplatform.googleapis.com.evil.example",
+        ),
+    ],
+)
+def test_vertex_hostname_rejects_substring_confusion(
+    server_url: str,
+    expected_address: str,
+) -> None:
+    is_vertex, server_address = get_client_info(_client(server_url))
+
+    assert not is_vertex
+    assert server_address == expected_address
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/test_compat.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/test_compat.py
new file mode 100644
index 000000000..ab202137b
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/test_compat.py
@@ -0,0 +1,241 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import asyncio
+import os
+from typing import Tuple
+from unittest.mock import patch
+
+from google.genai import types as genai_types
+
+from opentelemetry import context as context_api
+from opentelemetry._logs import get_logger_provider
+from opentelemetry.context import _SUPPRESS_INSTRUMENTATION_KEY
+from opentelemetry.instrumentation.google_genai._compat import TelemetryHandler
+from opentelemetry.instrumentation.google_genai._stream import (
+    AsyncStreamWrapper,
+)
+from opentelemetry.instrumentation.google_genai.allowlist_util import AllowList
+from opentelemetry.instrumentation.google_genai.generate_content import (
+    _create_instrumented_generate_content_stream,
+    _wrapped_config_with_tools,
+    instrument_generate_content,
+    uninstrument_generate_content,
+)
+from opentelemetry.instrumentation.google_genai.interactions import (
+    _create_instrumented_interactions_create,
+)
+from opentelemetry.instrumentation.google_genai.message import _to_part
+from opentelemetry.metrics import get_meter_provider
+from opentelemetry.trace import SpanKind, get_tracer_provider
+from opentelemetry.util.genai.types import Reasoning, Text
+
+from .common.otel_mocker import OTelMocker
+
+
+def _handler() -> Tuple[TelemetryHandler, OTelMocker]:
+    otel = OTelMocker()
+    otel.install()
+    return (
+        TelemetryHandler(
+            tracer_provider=get_tracer_provider(),
+            meter_provider=get_meter_provider(),
+            logger_provider=get_logger_provider(),
+        ),
+        otel,
+    )
+
+
+def test_standard_instrumentation_suppression_creates_no_span():
+    handler, otel = _handler()
+    token = context_api.attach(
+        context_api.set_value(_SUPPRESS_INSTRUMENTATION_KEY, True)
+    )
+    try:
+        with handler.inference(
+            provider="gemini",
+            request_model="gemini-test",
+            operation_name="generate_content",
+        ):
+            pass
+        assert otel.get_finished_spans() == []
+    finally:
+        context_api.detach(token)
+        otel.uninstall()
+
+
+def test_automatic_function_call_uses_internal_span():
+    handler, otel = _handler()
+    try:
+        with handler.tool("add"):
+            pass
+        span = otel.get_span_named("execute_tool add")
+        assert span.kind is SpanKind.INTERNAL
+    finally:
+        otel.uninstall()
+
+
+@patch.dict(
+    "os.environ",
+    {"OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "SPAN_ONLY"},
+    clear=False,
+)
+def test_content_capture_does_not_require_legacy_stability_flag():
+    handler, otel = _handler()
+    try:
+        invocation = handler.inference(
+            provider="gemini",
+            request_model="gemini-test",
+            operation_name="generate_content",
+        )
+        invocation.input_messages = []
+        invocation.output_messages = []
+        invocation.system_instruction = [Text(content="system")]
+        invocation.stop()
+        span = otel.get_span_named("generate_content gemini-test")
+        assert span.attributes["gen_ai.system_instructions"] == (
+            '[{"content":"system","type":"text"}]'
+        )
+    finally:
+        otel.uninstall()
+
+
+def test_google_thought_part_maps_to_reasoning():
+    part = _to_part(genai_types.Part(text="internal thought", thought=True), 0)
+    assert isinstance(part, Reasoning)
+    assert part.content == "internal thought"
+
+
+def test_wrapping_tools_does_not_mutate_reusable_config():
+    handler, otel = _handler()
+
+    def get_temperature(city: str) -> str:
+        return city
+
+    config = genai_types.GenerateContentConfig(tools=[get_temperature])
+    try:
+        first, first_changed = _wrapped_config_with_tools(handler, config)
+        second, second_changed = _wrapped_config_with_tools(handler, config)
+
+        assert first_changed and second_changed
+        assert config.tools == [get_temperature]
+        assert first.tools[0].__wrapped__ is get_temperature
+        assert second.tools[0].__wrapped__ is get_temperature
+    finally:
+        otel.uninstall()
+
+
+def test_invalid_dict_config_is_passed_through_to_sdk():
+    handler, otel = _handler()
+    invalid_config = {"temperature": object()}
+    try:
+        _, has_wrapped_tools = _wrapped_config_with_tools(
+            handler, invalid_config
+        )
+        assert not has_wrapped_tools
+    finally:
+        otel.uninstall()
+
+
+def test_sync_stream_creation_failure_finishes_span():
+    handler, otel = _handler()
+    wrapped = _create_instrumented_generate_content_stream(
+        handler, AllowList()
+    )
+
+    def fail(*args, **kwargs):
+        raise ValueError("stream creation failed")
+
+    try:
+        try:
+            wrapped(
+                fail,
+                object(),
+                (),
+                {"model": "gemini-test", "contents": "hello"},
+            )
+        except ValueError:
+            pass
+        span = otel.get_span_named("generate_content gemini-test")
+        assert span is not None
+        assert span.attributes["error.type"] == "ValueError"
+    finally:
+        otel.uninstall()
+
+
+def test_interactions_stream_creation_failure_finishes_span():
+    handler, otel = _handler()
+    wrapped = _create_instrumented_interactions_create(handler)
+
+    def fail(*args, **kwargs):
+        raise ValueError("stream creation failed")
+
+    try:
+        try:
+            wrapped(
+                fail,
+                object(),
+                (),
+                {
+                    "model": "gemini-test",
+                    "input": "hello",
+                    "stream": True,
+                },
+            )
+        except ValueError:
+            pass
+        span = otel.get_span_named("interactions.create gemini-test")
+        assert span is not None
+        assert span.attributes["error.type"] == "ValueError"
+    finally:
+        otel.uninstall()
+
+
+def test_async_stream_aclose_finalizes_google_style_stream():
+    finalized = []
+
+    class Wrapper(AsyncStreamWrapper):
+        def _process_chunk(self, chunk):
+            pass
+
+        def _on_stream_end(self):
+            finalized.append("success")
+
+        def _on_stream_error(self, error):
+            finalized.append(error)
+
+    async def exercise():
+        async def stream():
+            yield "chunk"
+
+        underlying = stream()
+        wrapper = Wrapper(underlying)
+        await wrapper.aclose()
+
+    asyncio.run(exercise())
+    assert finalized == ["success"]
+
+
+@patch.dict(
+    os.environ,
+    {"OTEL_INSTRUMENTATION_GENAI_EMIT_EVENT": "false"},
+)
+def test_instrumentation_preserves_explicit_event_setting():
+    handler, otel = _handler()
+    snapshot = instrument_generate_content(handler, AllowList())
+    try:
+        assert os.environ["OTEL_INSTRUMENTATION_GENAI_EMIT_EVENT"] == "false"
+    finally:
+        uninstrument_generate_content(snapshot)
+        otel.uninstall()
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/test_fail_open.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/test_fail_open.py
new file mode 100644
index 000000000..1e04137a1
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/test_fail_open.py
@@ -0,0 +1,676 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import asyncio
+from concurrent.futures import ThreadPoolExecutor
+from typing import Tuple
+
+import pytest
+from google.genai import types
+
+from opentelemetry import trace
+from opentelemetry._logs import get_logger_provider
+from opentelemetry.instrumentation.google_genai._compat import TelemetryHandler
+from opentelemetry.instrumentation.google_genai._stream import (
+    AsyncStreamWrapper,
+    SyncStreamWrapper,
+)
+from opentelemetry.instrumentation.google_genai.allowlist_util import AllowList
+from opentelemetry.instrumentation.google_genai.embeddings import (
+    _CAPTURE_RAW_RESPONSE,
+    _RAW_RESPONSE_BODY,
+    _complete_embedding_advice,
+    _EmbeddingAdviceState,
+)
+from opentelemetry.instrumentation.google_genai.generate_content import (
+    _create_instrumented_generate_content,
+    _create_instrumented_generate_content_stream,
+)
+from opentelemetry.instrumentation.google_genai.interactions import (
+    AsyncInteractionsStreamWrapper,
+    InteractionsStreamWrapper,
+    _apply_interaction_response_attributes,
+)
+from opentelemetry.instrumentation.google_genai.message import (
+    StreamOutputMessageAccumulator,
+)
+from opentelemetry.instrumentation.google_genai.tool_call_wrapper import (
+    _wrap_tool_function,
+)
+from opentelemetry.metrics import get_meter_provider
+from opentelemetry.trace import get_tracer_provider
+
+from .common.otel_mocker import OTelMocker
+
+
+def _handler() -> Tuple[TelemetryHandler, OTelMocker]:
+    otel = OTelMocker()
+    otel.install()
+    return (
+        TelemetryHandler(
+            tracer_provider=get_tracer_provider(),
+            meter_provider=get_meter_provider(),
+            logger_provider=get_logger_provider(),
+        ),
+        otel,
+    )
+
+
+def test_prepare_failure_calls_sdk_once_and_returns_original(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    handler, otel = _handler()
+    wrapped = _create_instrumented_generate_content(handler, AllowList())
+    response = object()
+    calls = 0
+
+    def fail_prepare(*args, **kwargs):
+        raise RuntimeError("probe prepare failed")
+
+    def sdk_call(*args, **kwargs):
+        nonlocal calls
+        calls += 1
+        return response
+
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.google_genai.generate_content."
+        "_wrapped_config_with_tools",
+        fail_prepare,
+    )
+    try:
+        actual = wrapped(
+            sdk_call,
+            object(),
+            (),
+            {"model": "gemini-test", "contents": "hello"},
+        )
+        assert actual is response
+        assert calls == 1
+        assert otel.get_finished_spans() == []
+    finally:
+        otel.uninstall()
+
+
+def test_response_mapping_failure_returns_original_and_ends_span(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    handler, otel = _handler()
+    wrapped = _create_instrumented_generate_content(handler, AllowList())
+    response = object()
+    calls = 0
+
+    def fail_mapping(*args, **kwargs):
+        raise RuntimeError("probe mapping failed")
+
+    def sdk_call(*args, **kwargs):
+        nonlocal calls
+        calls += 1
+        return response
+
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.google_genai.generate_content."
+        "_apply_response_attributes",
+        fail_mapping,
+    )
+    try:
+        actual = wrapped(
+            sdk_call,
+            object(),
+            (),
+            {"model": "gemini-test", "contents": "hello"},
+        )
+        assert actual is response
+        assert calls == 1
+        assert len(otel.get_finished_spans()) == 1
+        assert not trace.get_current_span().get_span_context().is_valid
+    finally:
+        otel.uninstall()
+
+
+def test_interaction_usage_missing_optional_fields_is_tolerated() -> None:
+    class Usage:
+        total_input_tokens = 3
+        total_output_tokens = 2
+
+    class Response:
+        model = "gemini-test"
+        usage = Usage()
+
+    class Invocation:
+        response_model_name = None
+        input_tokens = None
+        output_tokens = None
+        thinking_tokens = None
+        cache_read_input_tokens = None
+
+    class Handler:
+        @staticmethod
+        def should_capture_content() -> bool:
+            return False
+
+    invocation = Invocation()
+    _apply_interaction_response_attributes(Response(), invocation, Handler())
+
+    assert invocation.input_tokens == 3
+    assert invocation.output_tokens == 2
+    assert invocation.thinking_tokens is None
+    assert invocation.cache_read_input_tokens is None
+
+
+@pytest.mark.parametrize(
+    "wrapper_factory",
+    [
+        lambda invocation, handler: InteractionsStreamWrapper(
+            iter(()), invocation, handler
+        ),
+        lambda invocation, handler: AsyncInteractionsStreamWrapper(
+            _empty_async_stream(), invocation, handler
+        ),
+    ],
+)
+def test_interaction_stream_mapping_failure_still_stops_invocation(
+    monkeypatch: pytest.MonkeyPatch,
+    wrapper_factory,
+) -> None:
+    class Invocation:
+        stopped = False
+
+        def stop(self) -> None:
+            self.stopped = True
+
+    def fail_mapping(*args, **kwargs):
+        raise RuntimeError("probe mapping failed")
+
+    invocation = Invocation()
+    wrapper = wrapper_factory(invocation, object())
+    wrapper._self_last_interaction = object()
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.google_genai.interactions."
+        "_apply_interaction_response_attributes",
+        fail_mapping,
+    )
+
+    with pytest.raises(RuntimeError, match="probe mapping failed"):
+        wrapper._on_stream_end()
+
+    assert invocation.stopped
+
+
+def test_embedding_mapping_failure_still_stops_invocation(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    class Invocation:
+        stopped = False
+
+        def stop(self) -> None:
+            self.stopped = True
+
+    def fail_mapping(*args, **kwargs):
+        raise RuntimeError("probe mapping failed")
+
+    invocation = Invocation()
+    raw_body_token = _RAW_RESPONSE_BODY.set(None)
+    capture_token = _CAPTURE_RAW_RESPONSE.set(True)
+    state = _EmbeddingAdviceState(
+        invocation=invocation,
+        raw_body_token=raw_body_token,
+        capture_token=capture_token,
+    )
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.google_genai.embeddings."
+        "_apply_embedding_response_attributes",
+        fail_mapping,
+    )
+
+    _complete_embedding_advice(state, object())
+
+    assert invocation.stopped
+    assert _RAW_RESPONSE_BODY.get() is None
+    assert not _CAPTURE_RAW_RESPONSE.get()
+
+
+async def _empty_async_stream():
+    if False:
+        yield None
+
+
+def test_failure_reporter_failure_preserves_original_exception(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    handler, otel = _handler()
+    wrapped = _create_instrumented_generate_content(handler, AllowList())
+    original = ValueError("business failure")
+    calls = 0
+
+    def sdk_call(*args, **kwargs):
+        nonlocal calls
+        calls += 1
+        raise original
+
+    def fail_reporter(invocation, *args, **kwargs):
+        invocation._owner.abandon_inference(invocation)
+        raise RuntimeError("probe failure reporter failed")
+
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.google_genai._compat."
+        "InferenceInvocation.fail",
+        fail_reporter,
+    )
+    try:
+        with pytest.raises(ValueError) as raised:
+            wrapped(
+                sdk_call,
+                object(),
+                (),
+                {"model": "gemini-test", "contents": "hello"},
+            )
+        assert raised.value is original
+        assert calls == 1
+    finally:
+        otel.uninstall()
+
+
+class _FaultySyncWrapper(SyncStreamWrapper[object]):
+    def __init__(
+        self,
+        stream,
+        *,
+        chunk_failure: bool = False,
+        final_failure: bool = False,
+    ) -> None:
+        super().__init__(stream)
+        self._self_chunk_failure = chunk_failure
+        self._self_final_failure = final_failure
+        self._self_finalizations = 0
+
+    def _process_chunk(self, chunk: object) -> None:
+        if self._self_chunk_failure:
+            raise RuntimeError("probe chunk failed")
+
+    def _on_stream_end(self) -> None:
+        self._self_finalizations += 1
+        if self._self_final_failure:
+            raise RuntimeError("probe finalization failed")
+
+    def _on_stream_error(self, error: BaseException) -> None:
+        self._self_finalizations += 1
+        raise RuntimeError("probe error reporter failed")
+
+
+def test_stream_probe_failures_preserve_chunks_and_finalize_once() -> None:
+    chunks = [object(), object()]
+    wrapper = _FaultySyncWrapper(
+        iter(chunks),
+        chunk_failure=True,
+        final_failure=True,
+    )
+    actual = list(wrapper)
+    wrapper.close()
+    assert actual[0] is chunks[0]
+    assert actual[1] is chunks[1]
+    assert wrapper._self_finalizations == 1
+
+
+def test_stream_error_reporter_preserves_original_exception() -> None:
+    original = ValueError("business stream failed")
+
+    def stream():
+        yield object()
+        raise original
+
+    wrapper = _FaultySyncWrapper(stream())
+    iterator = iter(wrapper)
+    next(iterator)
+    with pytest.raises(ValueError) as raised:
+        next(iterator)
+    assert raised.value is original
+    assert wrapper._self_finalizations == 1
+
+
+def test_stream_close_failure_does_not_replace_business_outcome() -> None:
+    class CloseFailure:
+        def __iter__(self):
+            return iter(())
+
+        def close(self):
+            raise RuntimeError("provider close failed")
+
+    wrapper = _FaultySyncWrapper(CloseFailure())
+    wrapper.close()
+    assert wrapper._self_finalizations == 1
+
+
+def test_stream_creation_detaches_before_cross_thread_consumption(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    handler, otel = _handler()
+    wrapped = _create_instrumented_generate_content_stream(
+        handler,
+        AllowList(),
+    )
+    chunks = [object(), object()]
+
+    def sdk_call(*args, **kwargs):
+        return iter(chunks)
+
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.google_genai.generate_content."
+        "_apply_response_attributes",
+        lambda *args, **kwargs: None,
+    )
+    try:
+        stream = wrapped(
+            sdk_call,
+            object(),
+            (),
+            {"model": "gemini-test", "contents": "hello"},
+        )
+        assert not trace.get_current_span().get_span_context().is_valid
+        with ThreadPoolExecutor(max_workers=1) as executor:
+            actual = executor.submit(list, stream).result()
+        assert actual[0] is chunks[0]
+        assert actual[1] is chunks[1]
+        assert len(otel.get_finished_spans()) == 1
+    finally:
+        otel.uninstall()
+
+
+def test_stream_wrapper_construction_failure_returns_original_stream(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    handler, otel = _handler()
+    wrapped = _create_instrumented_generate_content_stream(
+        handler,
+        AllowList(),
+    )
+    raw_stream = iter([object()])
+
+    def sdk_call(*args, **kwargs):
+        return raw_stream
+
+    class ConstructionFailure:
+        def __init__(self, *args, **kwargs):
+            raise RuntimeError("probe wrapper construction failed")
+
+    monkeypatch.setattr(
+        "opentelemetry.instrumentation.google_genai.generate_content."
+        "GenerateContentStreamWrapper",
+        ConstructionFailure,
+    )
+    try:
+        actual = wrapped(
+            sdk_call,
+            object(),
+            (),
+            {"model": "gemini-test", "contents": "hello"},
+        )
+        assert actual is raw_stream
+        assert len(otel.get_finished_spans()) == 1
+        assert not trace.get_current_span().get_span_context().is_valid
+    finally:
+        otel.uninstall()
+
+
+def test_stream_accumulator_failure_preserves_chunks_and_ends_span(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    handler, otel = _handler()
+    wrapped = _create_instrumented_generate_content_stream(
+        handler,
+        AllowList(),
+    )
+    chunks = [
+        types.GenerateContentResponse(
+            candidates=[
+                types.Candidate(
+                    index=0,
+                    content=types.Content(
+                        role="model",
+                        parts=[types.Part(text="business output")],
+                    ),
+                )
+            ]
+        )
+    ]
+
+    def sdk_call(*args, **kwargs):
+        return iter(chunks)
+
+    def fail_accumulation(self, candidates):
+        raise RuntimeError("probe accumulation failed")
+
+    monkeypatch.setattr(
+        StreamOutputMessageAccumulator,
+        "add_candidates",
+        fail_accumulation,
+    )
+    try:
+        actual = list(
+            wrapped(
+                sdk_call,
+                object(),
+                (),
+                {"model": "gemini-test", "contents": "hello"},
+            )
+        )
+        assert actual[0] is chunks[0]
+        assert len(otel.get_finished_spans()) == 1
+        assert not trace.get_current_span().get_span_context().is_valid
+    finally:
+        otel.uninstall()
+
+
+def test_stream_output_mapping_failure_still_ends_span(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    handler, otel = _handler()
+    wrapped = _create_instrumented_generate_content_stream(
+        handler,
+        AllowList(),
+    )
+    chunk = types.GenerateContentResponse(
+        candidates=[
+            types.Candidate(
+                index=0,
+                content=types.Content(
+                    role="model",
+                    parts=[types.Part(text="business output")],
+                ),
+            )
+        ]
+    )
+
+    def sdk_call(*args, **kwargs):
+        return iter([chunk])
+
+    def fail_output_mapping(self):
+        raise RuntimeError("probe output mapping failed")
+
+    monkeypatch.setattr(
+        StreamOutputMessageAccumulator,
+        "to_output_messages",
+        fail_output_mapping,
+    )
+    try:
+        actual = list(
+            wrapped(
+                sdk_call,
+                object(),
+                (),
+                {"model": "gemini-test", "contents": "hello"},
+            )
+        )
+        assert actual == [chunk]
+        assert len(otel.get_finished_spans()) == 1
+        assert not trace.get_current_span().get_span_context().is_valid
+    finally:
+        otel.uninstall()
+
+
+def test_generator_exit_identity_and_cleanup_are_preserved() -> None:
+    original = GeneratorExit("consumer closed")
+
+    class GeneratorExitIterator:
+        def __iter__(self):
+            return self
+
+        def __next__(self):
+            raise original
+
+        def close(self):
+            return None
+
+    wrapper = _FaultySyncWrapper(GeneratorExitIterator())
+    with pytest.raises(GeneratorExit) as raised:
+        next(wrapper)
+    assert raised.value is original
+    assert wrapper._self_finalizations == 1
+
+
+def test_one_faulty_concurrent_stream_does_not_contaminate_sibling() -> None:
+    chunks = [[object(), object()], [object(), object()]]
+    wrappers = [
+        _FaultySyncWrapper(iter(chunks[0]), chunk_failure=True),
+        _FaultySyncWrapper(iter(chunks[1])),
+    ]
+    with ThreadPoolExecutor(max_workers=2) as executor:
+        actual = list(executor.map(list, wrappers))
+    assert actual[0][0] is chunks[0][0]
+    assert actual[1][0] is chunks[1][0]
+    assert wrappers[0]._self_finalizations == 1
+    assert wrappers[1]._self_finalizations == 1
+
+
+class _FaultyAsyncWrapper(AsyncStreamWrapper[object]):
+    def __init__(self, stream) -> None:
+        super().__init__(stream)
+        self._self_finalizations = 0
+
+    def _process_chunk(self, chunk: object) -> None:
+        raise RuntimeError("probe async chunk failed")
+
+    def _on_stream_end(self) -> None:
+        self._self_finalizations += 1
+        raise RuntimeError("probe async finalization failed")
+
+    def _on_stream_error(self, error: BaseException) -> None:
+        self._self_finalizations += 1
+        raise RuntimeError("probe async error reporter failed")
+
+
+def test_async_stream_probe_failures_and_aclose_are_fail_open() -> None:
+    chunks = [object(), object()]
+
+    async def exercise():
+        async def source():
+            for chunk in chunks:
+                yield chunk
+
+        wrapper = _FaultyAsyncWrapper(source())
+        actual = [chunk async for chunk in wrapper]
+        await wrapper.aclose()
+        return wrapper, actual
+
+    wrapper, actual = asyncio.run(exercise())
+    assert actual[0] is chunks[0]
+    assert actual[1] is chunks[1]
+    assert wrapper._self_finalizations == 1
+
+
+def test_async_cancellation_preserves_control_flow_and_finalizes_once() -> (
+    None
+):
+    async def exercise():
+        gate = asyncio.Event()
+
+        async def source():
+            await gate.wait()
+            yield object()
+
+        wrapper = _FaultyAsyncWrapper(source())
+        task = asyncio.create_task(wrapper.__anext__())
+        await asyncio.sleep(0)
+        task.cancel()
+        with pytest.raises(asyncio.CancelledError):
+            await task
+        return wrapper
+
+    wrapper = asyncio.run(exercise())
+    assert wrapper._self_finalizations == 1
+
+
+def test_tool_prepare_and_finalize_failures_do_not_change_business_result() -> (
+    None
+):
+    result = object()
+    calls = 0
+
+    class Invocation:
+        should_capture_content_on_span = True
+
+        def stop(self):
+            raise RuntimeError("probe stop failed")
+
+        def fail(self, error):
+            raise RuntimeError("probe fail failed")
+
+    class Handler:
+        def __init__(self):
+            self.prepare_fails = True
+
+        def tool(self, *args, **kwargs):
+            if self.prepare_fails:
+                raise RuntimeError("probe prepare failed")
+            return Invocation()
+
+        def abandon_tool(self, invocation):
+            return None
+
+    handler = Handler()
+
+    def business_tool(value):
+        nonlocal calls
+        calls += 1
+        return result
+
+    wrapped = _wrap_tool_function(business_tool, handler)
+    assert wrapped("first") is result
+    handler.prepare_fails = False
+    assert wrapped("second") is result
+    assert calls == 2
+
+
+def test_tool_failure_reporter_does_not_replace_business_exception() -> None:
+    original = ValueError("tool business failure")
+
+    class Invocation:
+        should_capture_content_on_span = False
+
+        def fail(self, error):
+            raise RuntimeError("probe tool reporter failed")
+
+    class Handler:
+        def tool(self, *args, **kwargs):
+            return Invocation()
+
+        def abandon_tool(self, invocation):
+            return None
+
+    def business_tool():
+        raise original
+
+    wrapped = _wrap_tool_function(business_tool, Handler())
+    with pytest.raises(ValueError) as raised:
+        wrapped()
+    assert raised.value is original
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/test_live.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/test_live.py
new file mode 100644
index 000000000..0c43abf79
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/test_live.py
@@ -0,0 +1,252 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Opt-in smoke test against the real Gemini Developer API."""
+
+import asyncio
+import json
+import os
+
+import pytest
+from google import genai
+from google.genai import types
+
+from opentelemetry.instrumentation.google_genai import (
+    GoogleGenAiSdkInstrumentor,
+)
+from opentelemetry.sdk import metrics, trace
+from opentelemetry.sdk.metrics.export import InMemoryMetricReader
+from opentelemetry.sdk.trace.export import SimpleSpanProcessor
+from opentelemetry.sdk.trace.export.in_memory_span_exporter import (
+    InMemorySpanExporter,
+)
+from opentelemetry.trace import SpanKind
+
+_LIVE_TEST_ENV = "RUN_GOOGLE_GENAI_LIVE_TESTS"
+_DEFAULT_MODEL = "gemini-3.5-flash-lite"
+_EMBEDDING_MODEL = "gemini-embedding-001"
+_INTERACTIONS_MODEL = _DEFAULT_MODEL
+
+
+@pytest.mark.skipif(
+    os.getenv(_LIVE_TEST_ENV) != "1",
+    reason=f"set {_LIVE_TEST_ENV}=1 to call the real Gemini API",
+)
+def test_live_google_genai_all_instrumented_methods():
+    api_key = os.getenv("GEMINI_API_KEY") or os.getenv("GOOGLE_API_KEY")
+    assert api_key, "GEMINI_API_KEY or GOOGLE_API_KEY is required"
+    model = os.getenv("GOOGLE_GENAI_LIVE_MODEL", _DEFAULT_MODEL)
+
+    span_exporter = InMemorySpanExporter()
+    tracer_provider = trace.TracerProvider()
+    tracer_provider.add_span_processor(SimpleSpanProcessor(span_exporter))
+    metric_reader = InMemoryMetricReader()
+    meter_provider = metrics.MeterProvider(metric_readers=[metric_reader])
+    instrumentor = GoogleGenAiSdkInstrumentor()
+    instrumentor.instrument(
+        tracer_provider=tracer_provider,
+        meter_provider=meter_provider,
+    )
+    client = genai.Client(api_key=api_key)
+    try:
+        sync_response = client.models.generate_content(
+            model=model,
+            contents="Reply with the single word OK.",
+        )
+        sync_stream = list(
+            client.models.generate_content_stream(
+                model=model,
+                contents="Reply with exactly: stream OK",
+            )
+        )
+        sync_embedding = client.models.embed_content(
+            model=_EMBEDDING_MODEL,
+            contents="LoongSuite live sync embedding verification",
+            config=types.EmbedContentConfig(output_dimensionality=8),
+        )
+        sync_interaction = client.interactions.create(
+            model=_INTERACTIONS_MODEL,
+            input="Reply with exactly: live interaction OK",
+        )
+        sync_interaction_stream = list(
+            client.interactions.create(
+                model=_INTERACTIONS_MODEL,
+                input="Reply with exactly: live interaction stream OK",
+                stream=True,
+            )
+        )
+
+        def get_temperature(city: str) -> str:
+            """Return the current temperature for a city."""
+
+            assert city
+            return "17 C"
+
+        tool_response = client.models.generate_content(
+            model=model,
+            contents=(
+                "You must call get_temperature for Paris, then reply with "
+                "only the returned temperature."
+            ),
+            config=types.GenerateContentConfig(tools=[get_temperature]),
+        )
+
+        async def run_async_methods():
+            try:
+                async_response = await client.aio.models.generate_content(
+                    model=model,
+                    contents="Reply with exactly: async OK",
+                )
+                stream = await client.aio.models.generate_content_stream(
+                    model=model,
+                    contents="Reply with exactly: async stream OK",
+                )
+                async_stream = [chunk async for chunk in stream]
+                async_embedding = await client.aio.models.embed_content(
+                    model=_EMBEDDING_MODEL,
+                    contents="LoongSuite live async embedding verification",
+                    config=types.EmbedContentConfig(output_dimensionality=8),
+                )
+                async_interaction = await client.aio.interactions.create(
+                    model=_INTERACTIONS_MODEL,
+                    input="Reply with exactly: live async interaction OK",
+                )
+                interaction_stream = await client.aio.interactions.create(
+                    model=_INTERACTIONS_MODEL,
+                    input=(
+                        "Reply with exactly: live async interaction stream OK"
+                    ),
+                    stream=True,
+                )
+                async_interaction_stream = [
+                    event async for event in interaction_stream
+                ]
+                return (
+                    async_response,
+                    async_stream,
+                    async_embedding,
+                    async_interaction,
+                    async_interaction_stream,
+                )
+            finally:
+                await client.aio.aclose()
+
+        (
+            async_response,
+            async_stream,
+            async_embedding,
+            async_interaction,
+            async_interaction_stream,
+        ) = asyncio.run(run_async_methods())
+    finally:
+        client.close()
+        instrumentor.uninstrument()
+
+    for response in (sync_response, async_response):
+        assert response.text
+        assert response.response_id
+        assert response.usage_metadata is not None
+        assert response.usage_metadata.prompt_token_count > 0
+        assert response.usage_metadata.candidates_token_count > 0
+    assert any(chunk.text for chunk in sync_stream)
+    assert any(chunk.text for chunk in async_stream)
+    assert len(sync_embedding.embeddings[0].values) == 8
+    assert len(async_embedding.embeddings[0].values) == 8
+    assert sync_interaction.id
+    assert async_interaction.id
+    assert sync_interaction_stream[-1].interaction.id
+    assert async_interaction_stream[-1].interaction.id
+    assert "17" in tool_response.text
+
+    spans = span_exporter.get_finished_spans()
+    generation_spans = [
+        span for span in spans if span.name == f"generate_content {model}"
+    ]
+    embedding_spans = [
+        span for span in spans if span.name == f"embeddings {_EMBEDDING_MODEL}"
+    ]
+    interaction_spans = [
+        span
+        for span in spans
+        if span.name == f"interactions.create {_INTERACTIONS_MODEL}"
+    ]
+    tool_spans = [
+        span for span in spans if span.name == "execute_tool get_temperature"
+    ]
+    assert len(generation_spans) >= 5
+    assert len(embedding_spans) == 2
+    assert len(interaction_spans) == 4
+    assert len(tool_spans) == 1
+    assert tool_spans[0].kind is SpanKind.INTERNAL
+    assert all(
+        span.attributes["gen_ai.response.id"] for span in generation_spans
+    )
+    assert all(
+        span.attributes["gen_ai.usage.input_tokens"] > 0
+        for span in generation_spans
+    )
+    assert all(
+        span.attributes["gen_ai.usage.output_tokens"] > 0
+        for span in generation_spans
+    )
+    assert all(
+        span.attributes["gen_ai.embeddings.dimension.count"] == 8
+        for span in embedding_spans
+    )
+    assert all(
+        span.attributes["gen_ai.response.model"] == _INTERACTIONS_MODEL
+        for span in interaction_spans
+    )
+    streaming_spans = [
+        span
+        for span in generation_spans + interaction_spans
+        if "gen_ai.response.time_to_first_token" in span.attributes
+    ]
+    assert len(streaming_spans) == 4
+    assert all(
+        span.attributes["gen_ai.response.time_to_first_token"] > 0
+        for span in streaming_spans
+    )
+    generation_streaming_spans = [
+        span
+        for span in generation_spans
+        if "gen_ai.response.time_to_first_token" in span.attributes
+    ]
+    assert len(generation_streaming_spans) == 2
+    expected_stream_outputs = {
+        "".join(chunk.text or "" for chunk in sync_stream),
+        "".join(chunk.text or "" for chunk in async_stream),
+    }
+    observed_stream_outputs = set()
+    for span in generation_streaming_spans:
+        messages = json.loads(span.attributes["gen_ai.output.messages"])
+        assert len(messages) == 1
+        assert messages[0]["finish_reason"] == "stop"
+        observed_stream_outputs.add(
+            "".join(
+                part["content"]
+                for part in messages[0]["parts"]
+                if part["type"] == "text"
+            )
+        )
+    assert observed_stream_outputs == expected_stream_outputs
+
+    metric_names = {
+        metric.name
+        for resource_metrics in metric_reader.get_metrics_data().resource_metrics
+        for scope_metrics in resource_metrics.scope_metrics
+        for metric in scope_metrics.metrics
+    }
+    assert "gen_ai.client.operation.duration" in metric_names
+    assert "gen_ai.client.token.usage" in metric_names
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/test_vcr.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/test_vcr.py
new file mode 100644
index 000000000..c5ab75d11
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/test_vcr.py
@@ -0,0 +1,287 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Recorded real-API coverage for every instrumented Google GenAI method."""
+
+import json
+import os
+from importlib.metadata import version
+
+import pytest
+from google import genai
+from google.genai import types
+
+from opentelemetry.instrumentation.google_genai import (
+    GoogleGenAiSdkInstrumentor,
+)
+from opentelemetry.sdk import metrics, trace
+from opentelemetry.sdk.metrics.export import InMemoryMetricReader
+from opentelemetry.sdk.trace.export import SimpleSpanProcessor
+from opentelemetry.sdk.trace.export.in_memory_span_exporter import (
+    InMemorySpanExporter,
+)
+from opentelemetry.trace import SpanKind
+
+_GENERATION_MODEL = "gemini-3.5-flash-lite"
+_EMBEDDING_MODEL = "gemini-embedding-001"
+_INTERACTIONS_MODEL = _GENERATION_MODEL
+
+pytestmark = pytest.mark.skipif(
+    int(version("google-genai").split(".", maxsplit=1)[0]) < 2,
+    reason="recorded SDK transport contract targets google-genai 2.x",
+)
+
+
+@pytest.fixture
+def telemetry():
+    span_exporter = InMemorySpanExporter()
+    tracer_provider = trace.TracerProvider()
+    tracer_provider.add_span_processor(SimpleSpanProcessor(span_exporter))
+    metric_reader = InMemoryMetricReader()
+    meter_provider = metrics.MeterProvider(metric_readers=[metric_reader])
+    instrumentor = GoogleGenAiSdkInstrumentor()
+    instrumentor.instrument(
+        tracer_provider=tracer_provider,
+        meter_provider=meter_provider,
+    )
+    try:
+        yield span_exporter, metric_reader
+    finally:
+        instrumentor.uninstrument()
+
+
+@pytest.fixture
+def client():
+    api_key = os.getenv("GEMINI_API_KEY") or os.getenv(
+        "GOOGLE_API_KEY", "test-google-key"
+    )
+    value = genai.Client(api_key=api_key)
+    try:
+        yield value
+    finally:
+        value.close()
+
+
+def _assert_generation_telemetry(
+    span_exporter,
+    metric_reader,
+    *,
+    expected_output=None,
+):
+    spans = span_exporter.get_finished_spans()
+    assert len(spans) == 1
+    span = spans[0]
+    assert span.name == f"generate_content {_GENERATION_MODEL}"
+    assert span.attributes["gen_ai.response.id"]
+    assert span.attributes["gen_ai.usage.input_tokens"] > 0
+    assert span.attributes["gen_ai.usage.output_tokens"] > 0
+    if expected_output is not None:
+        messages = json.loads(span.attributes["gen_ai.output.messages"])
+        assert len(messages) == 1
+        assert messages[0]["parts"] == [
+            {"content": expected_output, "type": "text"}
+        ]
+        assert messages[0]["finish_reason"] == "stop"
+    _assert_standard_metrics(metric_reader)
+
+
+def _assert_embedding_telemetry(span_exporter, metric_reader):
+    spans = span_exporter.get_finished_spans()
+    assert len(spans) == 1
+    span = spans[0]
+    assert span.name == f"embeddings {_EMBEDDING_MODEL}"
+    assert span.attributes["gen_ai.embeddings.dimension.count"] == 8
+    # OSS extended metrics intentionally cover LLM calls only. Embedding
+    # metrics remain an enterprise extension, while the OSS span is complete.
+    assert metric_reader.get_metrics_data() is None
+
+
+def _assert_interactions_telemetry(
+    span_exporter, metric_reader, *, streaming=False
+):
+    spans = span_exporter.get_finished_spans()
+    assert len(spans) == 1
+    span = spans[0]
+    assert span.name == f"interactions.create {_INTERACTIONS_MODEL}"
+    assert span.attributes["gen_ai.operation.name"] == "interactions.create"
+    assert span.attributes["gen_ai.response.model"] == _INTERACTIONS_MODEL
+    assert span.attributes["gen_ai.usage.input_tokens"] > 0
+    assert span.attributes["gen_ai.usage.output_tokens"] > 0
+    if streaming:
+        assert span.attributes["gen_ai.response.time_to_first_token"] > 0
+    _assert_standard_metrics(metric_reader)
+
+
+def _assert_standard_metrics(metric_reader):
+    metric_names = {
+        metric.name
+        for resource_metrics in metric_reader.get_metrics_data().resource_metrics
+        for scope_metrics in resource_metrics.scope_metrics
+        for metric in scope_metrics.metrics
+    }
+    assert "gen_ai.client.operation.duration" in metric_names
+
+
+@pytest.mark.vcr
+def test_sync_generate_content(client, telemetry):
+    response = client.models.generate_content(
+        model=_GENERATION_MODEL,
+        contents="Reply with exactly: sync ok",
+    )
+    assert response.text
+    _assert_generation_telemetry(*telemetry)
+
+
+@pytest.mark.vcr
+def test_sync_generate_content_stream(client, telemetry):
+    chunks = list(
+        client.models.generate_content_stream(
+            model=_GENERATION_MODEL,
+            contents="Reply with exactly: sync stream ok",
+        )
+    )
+    assert any(chunk.text for chunk in chunks)
+    _assert_generation_telemetry(
+        *telemetry,
+        expected_output="sync stream ok",
+    )
+
+
+@pytest.mark.vcr
+def test_sync_embed_content(client, telemetry):
+    response = client.models.embed_content(
+        model=_EMBEDDING_MODEL,
+        contents="LoongSuite sync embedding verification",
+        config=types.EmbedContentConfig(output_dimensionality=8),
+    )
+    assert len(response.embeddings[0].values) == 8
+    _assert_embedding_telemetry(*telemetry)
+
+
+@pytest.mark.asyncio
+@pytest.mark.vcr
+async def test_async_generate_content(client, telemetry):
+    response = await client.aio.models.generate_content(
+        model=_GENERATION_MODEL,
+        contents="Reply with exactly: async ok",
+    )
+    assert response.text
+    _assert_generation_telemetry(*telemetry)
+
+
+@pytest.mark.asyncio
+@pytest.mark.vcr
+async def test_async_generate_content_stream(client, telemetry):
+    stream = await client.aio.models.generate_content_stream(
+        model=_GENERATION_MODEL,
+        contents="Reply with exactly: async stream ok",
+    )
+    chunks = [chunk async for chunk in stream]
+    assert any(chunk.text for chunk in chunks)
+    _assert_generation_telemetry(
+        *telemetry,
+        expected_output="async stream ok",
+    )
+
+
+@pytest.mark.asyncio
+@pytest.mark.vcr
+async def test_async_embed_content(client, telemetry):
+    response = await client.aio.models.embed_content(
+        model=_EMBEDDING_MODEL,
+        contents="LoongSuite async embedding verification",
+        config=types.EmbedContentConfig(output_dimensionality=8),
+    )
+    assert len(response.embeddings[0].values) == 8
+    _assert_embedding_telemetry(*telemetry)
+
+
+@pytest.mark.vcr
+def test_sync_interactions_create(client, telemetry):
+    response = client.interactions.create(
+        model=_INTERACTIONS_MODEL,
+        input="Reply with exactly: interaction ok",
+    )
+    assert response.id
+    _assert_interactions_telemetry(*telemetry)
+
+
+@pytest.mark.asyncio
+@pytest.mark.vcr
+async def test_async_interactions_create(client, telemetry):
+    response = await client.aio.interactions.create(
+        model=_INTERACTIONS_MODEL,
+        input="Reply with exactly: async interaction ok",
+    )
+    assert response.id
+    _assert_interactions_telemetry(*telemetry)
+
+
+@pytest.mark.vcr
+def test_sync_interactions_create_stream(client, telemetry):
+    events = list(
+        client.interactions.create(
+            model=_INTERACTIONS_MODEL,
+            input="Reply with exactly: interaction stream ok",
+            stream=True,
+        )
+    )
+    assert events[-1].interaction.id
+    _assert_interactions_telemetry(*telemetry, streaming=True)
+
+
+@pytest.mark.asyncio
+@pytest.mark.vcr
+async def test_async_interactions_create_stream(client, telemetry):
+    stream = await client.aio.interactions.create(
+        model=_INTERACTIONS_MODEL,
+        input="Reply with exactly: async interaction stream ok",
+        stream=True,
+    )
+    events = [event async for event in stream]
+    assert events[-1].interaction.id
+    _assert_interactions_telemetry(*telemetry, streaming=True)
+
+
+@pytest.mark.vcr
+def test_automatic_function_call(client, telemetry):
+    def get_temperature(city: str) -> str:
+        """Return the current temperature for a city."""
+
+        assert city
+        return "17 C"
+
+    response = client.models.generate_content(
+        model=_GENERATION_MODEL,
+        contents=(
+            "You must call get_temperature for Paris, then reply with only "
+            "the returned temperature."
+        ),
+        config=types.GenerateContentConfig(tools=[get_temperature]),
+    )
+    assert "17" in response.text
+
+    spans = telemetry[0].get_finished_spans()
+    tool_spans = [
+        span for span in spans if span.name == "execute_tool get_temperature"
+    ]
+    generation_spans = [
+        span
+        for span in spans
+        if span.name == f"generate_content {_GENERATION_MODEL}"
+    ]
+    assert len(tool_spans) == 1
+    assert tool_spans[0].kind is SpanKind.INTERNAL
+    assert generation_spans
+    _assert_standard_metrics(telemetry[1])
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/utils/__init__.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/utils/__init__.py
new file mode 100644
index 000000000..b0a6f4284
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/utils/__init__.py
@@ -0,0 +1,13 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/utils/test_allowlist_util.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/utils/test_allowlist_util.py
new file mode 100644
index 000000000..d2a23d736
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/utils/test_allowlist_util.py
@@ -0,0 +1,165 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+import os
+from unittest import mock
+
+from opentelemetry.instrumentation.google_genai.allowlist_util import AllowList
+
+
+def test_empty_allowlist_allows_nothing():
+    allow_list = AllowList()
+    assert not allow_list.allowed("")
+    assert not allow_list.allowed("foo")
+    assert not allow_list.allowed("bar")
+    assert not allow_list.allowed("baz")
+    assert not allow_list.allowed("anything at all")
+
+
+def test_simple_include_allow_list():
+    allow_list = AllowList(includes=["abc", "xyz"])
+    assert allow_list.allowed("abc")
+    assert not allow_list.allowed("abc.xyz")
+    assert allow_list.allowed("xyz")
+    assert not allow_list.allowed("blah")
+    assert not allow_list.allowed("other value not in includes")
+
+
+def test_allow_list_with_prefix_matching():
+    allow_list = AllowList(includes=["abc.*", "xyz"])
+    assert not allow_list.allowed("abc")
+    assert allow_list.allowed("abc.foo")
+    assert allow_list.allowed("abc.bar")
+    assert allow_list.allowed("xyz")
+    assert not allow_list.allowed("blah")
+    assert not allow_list.allowed("other value not in includes")
+
+
+def test_allow_list_with_array_wildcard_matching():
+    allow_list = AllowList(includes=["abc[*].foo", "xyz[*].*"])
+    assert not allow_list.allowed("abc")
+    assert allow_list.allowed("abc[0].foo")
+    assert not allow_list.allowed("abc[0].bar")
+    assert allow_list.allowed("abc[1].foo")
+    assert allow_list.allowed("xyz[0].blah")
+    assert allow_list.allowed("xyz[1].yadayada")
+    assert not allow_list.allowed("blah")
+    assert not allow_list.allowed("other value not in includes")
+
+
+def test_includes_and_excludes():
+    allow_list = AllowList(includes=["abc", "xyz"], excludes=["xyz"])
+    assert allow_list.allowed("abc")
+    assert not allow_list.allowed("xyz")
+    assert not allow_list.allowed("blah")
+    assert not allow_list.allowed("other value not in includes")
+
+
+def test_includes_and_excludes_with_wildcards():
+    allow_list = AllowList(
+        includes=["abc", "xyz", "xyz.*"], excludes=["xyz.foo", "xyz.foo.*"]
+    )
+    assert allow_list.allowed("abc")
+    assert allow_list.allowed("xyz")
+    assert not allow_list.allowed("xyz.foo")
+    assert not allow_list.allowed("xyz.foo.bar")
+    assert not allow_list.allowed("xyz.foo.baz")
+    assert allow_list.allowed("xyz.not_foo")
+    assert allow_list.allowed("xyz.blah")
+    assert not allow_list.allowed("blah")
+    assert not allow_list.allowed("other value not in includes")
+
+
+def test_default_include_with_excludes():
+    allow_list = AllowList(includes=["*"], excludes=["foo", "bar"])
+    assert not allow_list.allowed("foo")
+    assert not allow_list.allowed("bar")
+    assert allow_list.allowed("abc")
+    assert allow_list.allowed("xyz")
+    assert allow_list.allowed("blah")
+    assert allow_list.allowed("other value not in includes")
+
+
+def test_default_exclude_with_includes():
+    allow_list = AllowList(includes=["foo", "bar"], excludes=["*"])
+    assert allow_list.allowed("foo")
+    assert allow_list.allowed("bar")
+    assert not allow_list.allowed("abc")
+    assert not allow_list.allowed("xyz")
+    assert not allow_list.allowed("blah")
+    assert not allow_list.allowed("other value not in includes")
+
+
+@mock.patch.dict(os.environ, {"TEST_ALLOW_LIST_INCLUDE_KEYS": "abc,xyz"})
+def test_can_load_from_env_with_just_include_list():
+    allow_list = AllowList.from_env("TEST_ALLOW_LIST_INCLUDE_KEYS")
+    assert allow_list.allowed("abc")
+    assert allow_list.allowed("xyz")
+    assert not allow_list.allowed("blah")
+    assert not allow_list.allowed("other value not in includes")
+
+
+@mock.patch.dict(
+    os.environ, {"TEST_ALLOW_LIST_INCLUDE_KEYS": " abc , , xyz ,"}
+)
+def test_can_handle_spaces_and_empty_entries():
+    allow_list = AllowList.from_env("TEST_ALLOW_LIST_INCLUDE_KEYS")
+    assert allow_list.allowed("abc")
+    assert allow_list.allowed("xyz")
+    assert not allow_list.allowed("")
+    assert not allow_list.allowed(",")
+    assert not allow_list.allowed("blah")
+    assert not allow_list.allowed("other value not in includes")
+
+
+@mock.patch.dict(
+    os.environ,
+    {
+        "TEST_ALLOW_LIST_INCLUDE_KEYS": "abc,xyz",
+        "TEST_ALLOW_LIST_EXCLUDE_KEYS": "xyz, foo, bar",
+    },
+)
+def test_can_load_from_env_with_includes_and_excludes():
+    allow_list = AllowList.from_env(
+        "TEST_ALLOW_LIST_INCLUDE_KEYS",
+        excludes_env_var="TEST_ALLOW_LIST_EXCLUDE_KEYS",
+    )
+    assert allow_list.allowed("abc")
+    assert not allow_list.allowed("xyz")
+    assert not allow_list.allowed("foo")
+    assert not allow_list.allowed("bar")
+    assert not allow_list.allowed("not in the list")
+
+
+@mock.patch.dict(
+    os.environ,
+    {
+        "TEST_ALLOW_LIST_INCLUDE_KEYS": "*",
+        "TEST_ALLOW_LIST_EXCLUDE_KEYS": "xyz, foo, bar",
+    },
+)
+def test_supports_wildcards_in_loading_from_env():
+    allow_list = AllowList.from_env(
+        "TEST_ALLOW_LIST_INCLUDE_KEYS",
+        excludes_env_var="TEST_ALLOW_LIST_EXCLUDE_KEYS",
+    )
+    assert allow_list.allowed("abc")
+    assert not allow_list.allowed("xyz")
+    assert not allow_list.allowed("foo")
+    assert not allow_list.allowed("bar")
+    assert allow_list.allowed("blah")
+    assert allow_list.allowed("not in the list")
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/utils/test_dict_util.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/utils/test_dict_util.py
new file mode 100644
index 000000000..fc6e8e48c
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/utils/test_dict_util.py
@@ -0,0 +1,281 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+from pydantic import BaseModel
+
+from opentelemetry.instrumentation.google_genai import dict_util
+
+
+class PydanticModel(BaseModel):
+    """Used to verify handling of pydantic models in the flattener."""
+
+    str_value: str = ""
+    int_value: int = 0
+
+
+class ModelDumpableNotPydantic:
+    """Used to verify general handling of 'model_dump'."""
+
+    def __init__(self, dump_output):
+        self._dump_output = dump_output
+
+    def model_dump(self):
+        return self._dump_output
+
+
+class NotJsonSerializable:
+    def __init__(self):
+        pass
+
+
+def test_flatten_empty_dict():
+    input_dict = {}
+    output_dict = dict_util.flatten_dict(input_dict, "", set())
+    assert output_dict is not None
+    assert isinstance(output_dict, dict)
+    assert not output_dict
+
+
+def test_flatten_simple_dict():
+    input_dict = {
+        "int_key": 1,
+        "string_key": "somevalue",
+        "float_key": 3.14,
+        "bool_key": True,
+    }
+    assert dict_util.flatten_dict(input_dict, "gcp", set()) == {
+        "gcp.int_key": 1,
+        "gcp.string_key": "somevalue",
+        "gcp.float_key": 3.14,
+        "gcp.bool_key": True,
+    }
+
+
+def test_flatten_nested_dict():
+    input_dict = {
+        "int_key": 1,
+        "string_key": "somevalue",
+        "float_key": 3.14,
+        "bool_key": True,
+        "object_key": {
+            "nested": {
+                "foo": 1,
+                "bar": "baz",
+            },
+            "qux": 54321,
+        },
+    }
+    assert dict_util.flatten_dict(input_dict, "gcp", set()) == {
+        "gcp.int_key": 1,
+        "gcp.string_key": "somevalue",
+        "gcp.float_key": 3.14,
+        "gcp.bool_key": True,
+        "gcp.object_key.nested.foo": 1,
+        "gcp.object_key.nested.bar": "baz",
+        "gcp.object_key.qux": 54321,
+    }
+
+
+def test_flatten_with_key_exclusion():
+    input_dict = {
+        "int_key": 1,
+        "string_key": "somevalue",
+        "float_key": 3.14,
+        "bool_key": True,
+    }
+    output = dict_util.flatten_dict(input_dict, "gcp", {"gcp.int_key"})
+    assert "gcp.int_key" not in output
+    assert output == {
+        "gcp.string_key": "somevalue",
+        "gcp.float_key": 3.14,
+        "gcp.bool_key": True,
+    }
+
+
+def test_flatten_with_prefixing():
+    input_dict = {
+        "int_key": 1,
+        "string_key": "somevalue",
+        "float_key": 3.14,
+        "bool_key": True,
+    }
+    output = dict_util.flatten_dict(input_dict, "gcp.someprefix", set())
+    assert output == {
+        "gcp.someprefix.int_key": 1,
+        "gcp.someprefix.string_key": "somevalue",
+        "gcp.someprefix.float_key": 3.14,
+        "gcp.someprefix.bool_key": True,
+    }
+
+
+def test_flatten_with_pydantic_model_value():
+    input_dict = {
+        "foo": PydanticModel(str_value="bar", int_value=123),
+    }
+
+    output = dict_util.flatten_dict(input_dict, "gcp", set())
+    assert output == {
+        "gcp.foo.str_value": "bar",
+        "gcp.foo.int_value": 123,
+    }
+    assert dict_util.flatten_dict({"foo": PydanticModel}, "gcp", set()) == {
+        "gcp.foo": "<class 'tests.utils.test_dict_util.PydanticModel'>"
+    }
+
+
+def test_flatten_with_model_dumpable_value():
+    input_dict = {
+        "foo": ModelDumpableNotPydantic(
+            {
+                "str_value": "bar",
+                "int_value": 123,
+            }
+        ),
+    }
+
+    output = dict_util.flatten_dict(input_dict, "gcp", set())
+    assert output == {
+        "gcp.foo.str_value": "bar",
+        "gcp.foo.int_value": 123,
+    }
+
+
+def test_flatten_with_mixed_structures():
+    input_dict = {
+        "foo": ModelDumpableNotPydantic(
+            {
+                "pydantic": PydanticModel(str_value="bar", int_value=123),
+            }
+        ),
+    }
+
+    output = dict_util.flatten_dict(input_dict, "gcp", set())
+    assert output == {
+        "gcp.foo.pydantic.str_value": "bar",
+        "gcp.foo.pydantic.int_value": 123,
+    }
+
+
+def test_converts_tuple_with_json_fallback():
+    input_dict = {
+        "foo": ("abc", 123),
+    }
+    output = dict_util.flatten_dict(input_dict, "gcp", set())
+    assert output == {
+        "gcp.foo.length": 2,
+        "gcp.foo[0]": "abc",
+        "gcp.foo[1]": 123,
+    }
+
+
+def test_json_conversion_handles_unicode():
+    input_dict = {
+        "foo": ("❤️", 123),
+    }
+    output = dict_util.flatten_dict(input_dict, "gcp", set())
+    assert output == {
+        "gcp.foo.length": 2,
+        "gcp.foo[0]": "❤️",
+        "gcp.foo[1]": 123,
+    }
+
+
+def test_flatten_with_complex_object_not_json_serializable():
+    result = dict_util.flatten_dict(
+        {
+            "cannot_serialize_directly": NotJsonSerializable(),
+        },
+        "",
+        set(),
+    )
+    assert result is not None
+    assert isinstance(result, dict)
+    assert len(result) == 0
+
+
+def test_flatten_good_with_non_serializable_complex_object():
+    result = dict_util.flatten_dict(
+        {
+            "foo": {
+                "bar": "blah",
+                "baz": 5,
+            },
+            "cannot_serialize_directly": NotJsonSerializable(),
+        },
+        "gcp",
+        set(),
+    )
+    assert result == {
+        "gcp.foo.bar": "blah",
+        "gcp.foo.baz": 5,
+    }
+
+
+def test_flatten_simple_homogenous_primitive_string_list():
+    input_dict = {"list_value": ["abc", "def"]}
+    assert dict_util.flatten_dict(input_dict, "gcp", set()) == {
+        "gcp.list_value": ["abc", "def"],
+    }
+
+
+def test_flatten_simple_homogenous_primitive_int_list():
+    input_dict = {"list_value": [123, 456]}
+    assert dict_util.flatten_dict(input_dict, "gcp", set()) == {
+        "gcp.list_value": [123, 456],
+    }
+
+
+def test_flatten_simple_homogenous_primitive_bool_list():
+    input_dict = {"list_value": [True, False]}
+    assert dict_util.flatten_dict(input_dict, "gcp", set()) == {
+        "gcp.list_value": [True, False],
+    }
+
+
+def test_flatten_simple_heterogenous_primitive_list():
+    input_dict = {"list_value": ["abc", 123]}
+    assert dict_util.flatten_dict(input_dict, "gcp", set()) == {
+        "gcp.list_value.length": 2,
+        "gcp.list_value[0]": "abc",
+        "gcp.list_value[1]": 123,
+    }
+
+
+def test_flatten_list_of_compound_types():
+    input_dict = {
+        "list_value": [
+            {"a": 1, "b": 2},
+            {"x": 100, "y": 123, "z": 321},
+            "blah",
+            [
+                "abc",
+                123,
+            ],
+        ]
+    }
+    assert dict_util.flatten_dict(input_dict, "gcp", set()) == {
+        "gcp.list_value.length": 4,
+        "gcp.list_value[0].a": 1,
+        "gcp.list_value[0].b": 2,
+        "gcp.list_value[1].x": 100,
+        "gcp.list_value[1].y": 123,
+        "gcp.list_value[1].z": 321,
+        "gcp.list_value[2]": "blah",
+        "gcp.list_value[3].length": 2,
+        "gcp.list_value[3][0]": "abc",
+        "gcp.list_value[3][1]": 123,
+    }
diff --git a/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/utils/test_tool_call_wrapper.py b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/utils/test_tool_call_wrapper.py
new file mode 100644
index 000000000..db0e5b372
--- /dev/null
+++ b/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/utils/test_tool_call_wrapper.py
@@ -0,0 +1,246 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# Copyright The OpenTelemetry Authors
+# SPDX-License-Identifier: Apache-2.0
+
+import asyncio
+import json
+import unittest
+from unittest.mock import patch
+
+from google.genai import types as genai_types
+
+from opentelemetry._logs import get_logger_provider
+from opentelemetry.instrumentation.google_genai import tool_call_wrapper
+from opentelemetry.instrumentation.google_genai._compat import TelemetryHandler
+from opentelemetry.metrics import get_meter_provider
+from opentelemetry.trace import get_tracer_provider
+
+from ..common import otel_mocker
+
+
+class TestCase(unittest.TestCase):
+    def setUp(self):
+        self.env_patcher = patch.dict(
+            "os.environ",
+            {
+                "OTEL_SEMCONV_STABILITY_OPT_IN": "gen_ai_latest_experimental",
+            },
+        )
+        self.env_patcher.start()
+        self._otel = otel_mocker.OTelMocker()
+        self._otel.install()
+        self._otel_wrapper = TelemetryHandler(
+            tracer_provider=get_tracer_provider(),
+            logger_provider=get_logger_provider(),
+            meter_provider=get_meter_provider(),
+        )
+
+    def tearDown(self):
+        self._otel.uninstall()
+        self.env_patcher.stop()
+
+    @property
+    def otel(self):
+        return self._otel
+
+    @property
+    def otel_wrapper(self):
+        return self._otel_wrapper
+
+    def wrap(self, tool_or_tools):
+        return tool_call_wrapper.wrapped_tool(tool_or_tools, self.otel_wrapper)
+
+    def test_wraps_none(self):
+        result = self.wrap(None)
+        self.assertIsNone(result)
+
+    def test_wraps_multiple_tool_functions_as_list(self):
+        def somefunction():
+            pass
+
+        def otherfunction():
+            pass
+
+        wrapped_functions = self.wrap([somefunction, otherfunction])
+        wrapped_somefunction = wrapped_functions[0]
+        wrapped_otherfunction = wrapped_functions[1]
+        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
+        self.otel.assert_does_not_have_span_named("execute_tool otherfunction")
+        somefunction()
+        otherfunction()
+        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
+        self.otel.assert_does_not_have_span_named("execute_tool otherfunction")
+        wrapped_somefunction()
+        self.otel.assert_has_span_named("execute_tool somefunction")
+        self.otel.assert_does_not_have_span_named("execute_tool otherfunction")
+        wrapped_otherfunction()
+        self.otel.assert_has_span_named("execute_tool otherfunction")
+
+    def test_wraps_multiple_tool_functions_as_dict(self):
+        def somefunction():
+            pass
+
+        def otherfunction():
+            pass
+
+        wrapped_functions = self.wrap(
+            {"somefunction": somefunction, "otherfunction": otherfunction}
+        )
+        wrapped_somefunction = wrapped_functions["somefunction"]
+        wrapped_otherfunction = wrapped_functions["otherfunction"]
+        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
+        self.otel.assert_does_not_have_span_named("execute_tool otherfunction")
+        somefunction()
+        otherfunction()
+        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
+        self.otel.assert_does_not_have_span_named("execute_tool otherfunction")
+        wrapped_somefunction()
+        self.otel.assert_has_span_named("execute_tool somefunction")
+        self.otel.assert_does_not_have_span_named("execute_tool otherfunction")
+        wrapped_otherfunction()
+        self.otel.assert_has_span_named("execute_tool otherfunction")
+
+    def test_wraps_async_tool_function(self):
+        async def somefunction():
+            pass
+
+        wrapped_somefunction = self.wrap(somefunction)
+        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
+        asyncio.run(somefunction())
+        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
+        asyncio.run(wrapped_somefunction())
+        self.otel.assert_has_span_named("execute_tool somefunction")
+
+    def test_preserves_tool_dict(self):
+        tool_dict = genai_types.ToolDict()
+        wrapped_tool_dict = self.wrap(tool_dict)
+        self.assertEqual(tool_dict, wrapped_tool_dict)
+
+    def test_does_not_have_description_if_no_doc_string(self):
+        def somefunction():
+            pass
+
+        wrapped_somefunction = self.wrap(somefunction)
+        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
+        somefunction()
+        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
+        wrapped_somefunction()
+        self.otel.assert_has_span_named("execute_tool somefunction")
+        span = self.otel.get_span_named("execute_tool somefunction")
+        self.assertNotIn("gen_ai.tool.description", span.attributes)
+
+    def test_has_description_if_doc_string_present(self):
+        def somefunction():
+            """An example tool call function."""
+
+        wrapped_somefunction = self.wrap(somefunction)
+        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
+        somefunction()
+        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
+        wrapped_somefunction()
+        self.otel.assert_has_span_named("execute_tool somefunction")
+        span = self.otel.get_span_named("execute_tool somefunction")
+        self.assertEqual(
+            span.attributes["gen_ai.tool.description"],
+            "An example tool call function.",
+        )
+
+    # Capture content must be enabled to get arguments
+    @patch.dict(
+        "os.environ",
+        {
+            "OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "SPAN_AND_EVENT",
+        },
+    )
+    def test_handles_various_arg_types(self):
+        def somefunction(
+            primitive_int=None,
+            dict_arg=None,
+            list_arg=None,
+            heterogenous_list_arg=None,
+        ):
+            pass
+
+        wrapped_somefunction = self.wrap(somefunction)
+        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
+        somefunction(12345)
+        self.otel.assert_does_not_have_span_named("execute_tool somefunction")
+        wrapped_somefunction(12345, {"key": "value"}, [1, 2, 3], [123, "abc"])
+        self.otel.assert_has_span_named("execute_tool somefunction")
+        span = self.otel.get_span_named("execute_tool somefunction")
+        arguments = json.loads(span.attributes["gen_ai.tool.call.arguments"])
+        self.assertEqual(
+            arguments["code.function.parameters.primitive_int.type"], "int"
+        )
+        self.assertEqual(span.attributes["gen_ai.tool.name"], "somefunction")
+        self.assertEqual(
+            arguments["code.function.parameters.primitive_int.value"], 12345
+        )
+        self.assertEqual(
+            arguments["code.function.parameters.dict_arg.type"], "dict"
+        )
+        self.assertEqual(
+            arguments["code.function.parameters.dict_arg.value"],
+            {"key": "value"},
+        )
+        self.assertEqual(
+            arguments["code.function.parameters.list_arg.type"], "list"
+        )
+        self.assertEqual(
+            arguments["code.function.parameters.list_arg.value"], [1, 2, 3]
+        )
+        self.assertEqual(
+            arguments["code.function.parameters.heterogenous_list_arg.type"],
+            "list",
+        )
+        self.assertEqual(
+            arguments["code.function.parameters.heterogenous_list_arg.value"],
+            [123, "abc"],
+        )
+
+    @patch.dict(
+        "os.environ",
+        {
+            "OTEL_INSTRUMENTATION_GENAI_CAPTURE_MESSAGE_CONTENT": "NO_CONTENT",
+        },
+    )
+    def test_with_capture_content_disabled(self):
+        def somefunction(arg=None):
+            return arg
+
+        wrapped_somefunction = self.wrap(somefunction)
+        wrapped_somefunction("a string value")
+        span = self.otel.get_span_named("execute_tool somefunction")
+
+        self.assertNotIn(
+            "gen_ai.tool.call.arguments",
+            span.attributes,
+        )
+        self.assertNotIn(
+            "gen_ai.tool.call.result",
+            span.attributes,
+        )
+
+    def test_function_that_throws_exception(self):
+        def somefunction(arg=None):
+            raise Exception("Something went wrong")
+
+        wrapped_somefunction = self.wrap(somefunction)
+        try:
+            wrapped_somefunction(12345)
+        except Exception:
+            span = self.otel.get_span_named("execute_tool somefunction")
+            self.assertEqual(span.attributes["error.type"], "Exception")
diff --git a/loongsuite-distro/src/loongsuite/distro/bootstrap_registry/loongsuite_instrumentation_google_genai.py b/loongsuite-distro/src/loongsuite/distro/bootstrap_registry/loongsuite_instrumentation_google_genai.py
new file mode 100644
index 000000000..b6c11d6d3
--- /dev/null
+++ b/loongsuite-distro/src/loongsuite/distro/bootstrap_registry/loongsuite_instrumentation_google_genai.py
@@ -0,0 +1,30 @@
+# Copyright The OpenTelemetry Authors
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# DO NOT EDIT. THIS FILE WAS AUTOGENERATED FROM INSTRUMENTATION PACKAGES.
+# RUN `python scripts/loongsuite/generate_loongsuite_bootstrap.py` TO REGENERATE.
+#
+# Generated with options:
+#   --upstream-version: (from source)
+#   --loongsuite-version: (from source)
+
+REGISTRY = {
+    "source": "loongsuite",
+    "package": "loongsuite-instrumentation-google-genai",
+    "instrumentation": "loongsuite-instrumentation-google-genai==0.8.0.dev",
+    "libraries": [
+        "google-genai >= 1.32.0, < 3",
+    ],
+    "default": False,
+}
diff --git a/tox-loongsuite.ini b/tox-loongsuite.ini
index 75558b36d..3906e904d 100644
--- a/tox-loongsuite.ini
+++ b/tox-loongsuite.ini
@@ -29,6 +29,10 @@ envlist =
     py3{10,11,12,13}-test-loongsuite-instrumentation-google-adk-{oldest,latest}
     lint-loongsuite-instrumentation-google-adk
 
+    ; loongsuite-instrumentation-google-genai
+    py3{9,10,11,12,13}-test-loongsuite-instrumentation-google-genai{-oldest,-latest}
+    lint-loongsuite-instrumentation-google-genai
+
     ; loongsuite-instrumentation-agno
     py3{9,10,11,12,13}-test-loongsuite-instrumentation-agno
     lint-loongsuite-instrumentation-agno
@@ -181,6 +185,11 @@ deps =
   google-adk-latest: -r {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-google-adk/tests/requirements.latest.txt
   lint-loongsuite-instrumentation-google-adk: -r {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-google-adk/tests/requirements.oldest.txt
 
+  google-genai-oldest: -r {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/requirements.oldest.txt
+  google-genai-latest: {[testenv]test_deps}  # loongsuite-instrumentation-google-genai
+  google-genai-latest: -r {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/requirements.latest.txt
+  lint-loongsuite-instrumentation-google-genai: -r {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests/requirements.oldest.txt
+
   agno: {[testenv]test_deps}
   agno: -r {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-agno/test-requirements.txt
 
@@ -315,6 +324,9 @@ commands =
   test-loongsuite-instrumentation-google-adk: pytest {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-google-adk/tests {posargs}
   lint-loongsuite-instrumentation-google-adk: python -m ruff check {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-google-adk
 
+  test-loongsuite-instrumentation-google-genai: pytest {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-google-genai/tests --vcr-record=none {posargs}
+  lint-loongsuite-instrumentation-google-genai: python -m ruff check {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-google-genai
+
   test-loongsuite-instrumentation-agno: pytest {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-agno/tests {posargs}
   lint-loongsuite-instrumentation-agno: python -m ruff check {toxinidir}/instrumentation-loongsuite/loongsuite-instrumentation-agno