feat(weave): Implement Google Genai integration

[soumik12345]

Description

Implement integration with Google Genai library.

Todos

• Patch sync text generation
• Patch async text generation
• Patch count_tokens
• Patch sync text generation streaming
• Patch async text generation streaming
• Patch sync chat send message
• Patch async chat send message
• Patch image generation sync
• Patch image generation async
• Add deprecation warning for google-generativeai integration

Summary by CodeRabbit

• New Features

  • Introduced enhanced generative AI integration with a new optional dependency to support additional AI capabilities.
  • Added support for Google Generative AI functionality, including improved handling for various API interactions.

• Tests

  • Expanded the test suite with diverse synchronous, asynchronous, and streaming scenarios to validate AI interactions and response processing.

• Refactor

  • Streamlined integration settings and updated naming conventions for improved consistency and compatibility, including tailored handling for specific Python versions.

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Preview this PR with FeatureBee: https://beta.wandb.ai/?betaVersion=d9f400d6a7e8517aa5f2828bcbd30b40f6f2e74a

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New dependencies detected. Learn more about Socket for GitHub ↗︎

Package	New capabilities	Transitives	Size	Publisher
pypi/google-genai@1.3.0	Transitive: environment, eval, filesystem, network, shell, unsafe	+281	1.42 GB	gcloudpypi, vertex_ai

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[coderabbitai]

Walkthrough

This pull request expands the project's testing and integration capabilities with Google GenAI. It adds a new shard "google_genai" in the testing workflow, updates Python 3.9 compatibility checks, and introduces an optional dependency. New cassette files simulate various API interactions (synchronous, asynchronous, and streaming) for chat sessions, content generation, and function calling. Additionally, the integration SDK is refactored with renamed variables, deprecations, wrappers, patchers, and utility functions to improve clarity and handle API calls consistently.

Changes

File(s)	Change Summary
.github/workflows/test.yaml	Added "google_genai" to the nox-shard array in the trace-tests job.
noxfile.py	Introduced PY309_INCOMPATIBLE_SHARDS (including "google_genai") and updated conditional logic for setting GOOGLE_API_KEY.
pyproject.toml	Added optional dependency: google_genai = ["google-genai>=1.0.0"].
tests/integrations/google_genai/cassettes/*.yaml	New cassette files for various Google GenAI interactions (chat, content generation sync/async/stream, function calling).
tests/integrations/google_genai/test_google_genai.py	Added comprehensive test functions (sync and async) for chat sessions, content generation, image generation, and function calling; introduced a Recipe model.
`weave/integrations/google_[ai_studio	genai]/*.py`
weave/trace/autopatch.py	Updated AutopatchSettings: removed google_ai_studio and added google_generativeai and google_genai_sdk attributes; updated autopatch and reset logic accordingly.
weave/integrations/google_genai/__init__.py	Exported google_genai_gemini_postprocess_inputs for public use.

Sequence Diagram(s)

sequenceDiagram
    participant T as Test Case
    participant N as Noxfile Logic
    participant P as Google GenAI Patcher
    participant API as Google GenAI API

    T->>N: Trigger test with shard "google_genai"
    N->>P: Check Python version & set GOOGLE_API_KEY
    P->>API: Invoke API call (chat, content generation, etc.)
    API-->>P: Return response with generated content and metadata
    P-->>T: Provide processed result for assertions

Loading

Suggested reviewers

• tssweeney
• jamie-rasmussen
• gtarpenning

Poem

In fields of code where bunnies hop,
A new shard blooms—no test will stop.
Google GenAI joins the play,
Patching and wrapping all the way.
I tap my paws in pure delight,
Celebrating changes day and night! 🐇

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[coderabbitai]

Actionable comments posted: 4

🧹 Nitpick comments (12)

weave/integrations/google_genai/imagen_utils.py (4)

12-35: Validate untrusted image data.
If the input data can originate from untrusted sources, consider verifying or sanitizing image content to prevent potential security risks, such as malformed or malicious files. For instance, wrap Image.open in a try/except clause to handle unrecognized image data gracefully.

+import PIL
...
 try:
     image = Image.open(BytesIO(image_data.image.image_bytes))
+except PIL.UnidentifiedImageError:
+    # Handle or log the error if the file is not a valid image
+    continue

---

38-50: Leverage the exception parameter for logging or processing.
This function receives an exception argument but never uses it. If exceptions are relevant to diagnosing or tracking errors, consider logging or otherwise handling it within this function.

---

52-67: Add docstrings and return type annotations.
Although the code is correct, adding a docstring clarifying the wrapper’s purpose and explicitly annotating the return type (e.g., Callable[[Callable], Callable]) can improve maintainability and clarity.

---

71-93: Avoid duplication between sync and async wrappers.
Much of the setup logic in this async wrapper replicates the sync wrapper. Consider refactoring common logic into a shared helper function to follow DRY principles.

weave/integrations/google_genai/google_genai_sdk.py (2)

25-61: Consider a loop or data-driven approach to reduce repeated setups.
The repetitive base.model_copy(...) calls could be generated in a loop, improving maintainability if more endpoints or settings become necessary in the future.

---

63-118: Refactor multiple SymbolPatcher entries to minimize repetition.
A data-driven or loop-based creation of these SymbolPatcher instances may simplify maintenance and reduce mistakes if new methods or patches are introduced.

weave/integrations/google_genai/gemini_utils.py (3)

14-21: In-place modification of inputs.
While updating the existing inputs dictionary may be intentional, it can lead to side effects in other parts of the code. Consider returning a new dictionary to avoid unexpected mutations.

---

23-45: Leverage the exception argument.
Like the Imagen on-finish handler, this function doesn’t use the exception parameter. Capturing or logging the exception here can aid in debugging or auditing error states.

---

105-130: Consolidate logic with the sync wrapper if possible.
The async and sync wrappers duplicate core logic. A shared helper might simplify future maintenance.

tests/integrations/google_genai/test_google_genai.py (3)

21-44: Consider enhancing error handling.

While the test case is well-structured, consider adding error handling for API failures and invalid responses.

 def test_content_generation_sync(client):
     from google import genai
 
     google_client = genai.Client(api_key=os.getenv("GOOGLE_GENAI_KEY", "DUMMY_API_KEY"))
-    response = google_client.models.generate_content(
-        model="gemini-2.0-flash-exp",
-        contents="What's the capital of France?",
-    )
+    try:
+        response = google_client.models.generate_content(
+            model="gemini-2.0-flash-exp",
+            contents="What's the capital of France?",
+        )
+    except Exception as e:
+        pytest.fail(f"API call failed: {str(e)}")

---

148-184: Consider parameterizing similar test cases.

The chat session tests for sync and async operations share similar structure. Consider parameterizing them for better maintainability.

+@pytest.mark.parametrize(
+    "is_async",
+    [False, True],
+    ids=["sync", "async"]
+)
-def test_chat_session_sync(client):
+def test_chat_session(client, is_async):
     from google import genai
 
     google_client = genai.Client(api_key=os.getenv("GOOGLE_GENAI_KEY", "DUMMY_API_KEY"))
     system_instruction = """
You are an expert software developer and a helpful coding assistant.
You are able to generate high-quality code in the Python programming language."""
 
-    response = google_client.chats.create(
+    chat_client = google_client.aio.chats if is_async else google_client.chats
+    response = asyncio.run(chat_client.create(
         model="gemini-2.0-flash-exp",
         config=genai.types.GenerateContentConfig(
             system_instruction=system_instruction,
             temperature=0.5,
         ),
-    ).send_message(
+    ).send_message)(
         "Write a python function named `is_leap_year` that checks if a year is a leap year."
-    )
+    ) if is_async else chat_client.create(
+        model="gemini-2.0-flash-exp",
+        config=genai.types.GenerateContentConfig(
+            system_instruction=system_instruction,
+            temperature=0.5,
+        ),
+    ).send_message(
+        "Write a python function named `is_leap_year` that checks if a year is a leap year."
+    )

Also applies to: 187-225

---

233-282: Consider adding validation for function call arguments.

The function calling test should validate the structure and types of the function call arguments.

     assert call.output is not None
+    function_call = call.output.candidates[0].content.parts[0].function_call
+    assert "args" in function_call
+    assert "destination" in function_call.args
+    assert isinstance(function_call.args["destination"], str)
     assert (
-        call.output.candidates[0]
-        .content.parts[0]
-        .function_call.args["destination"]
+        function_call.args["destination"]
         .lower()
         == "paris"
     )

📜 Review details

Configuration used: .coderabbit.yaml
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 4ebd314 and de0f2d6.

📒 Files selected for processing (17)

• .github/workflows/test.yaml (1 hunks)
• noxfile.py (4 hunks)
• pyproject.toml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_async.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_sync.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async_stream.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync_stream.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_function_calling.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_structured_output.yaml (1 hunks)
• tests/integrations/google_genai/test_google_genai.py (1 hunks)
• weave/integrations/google_ai_studio/google_ai_studio_sdk.py (5 hunks)
• weave/integrations/google_genai/gemini_utils.py (1 hunks)
• weave/integrations/google_genai/google_genai_sdk.py (1 hunks)
• weave/integrations/google_genai/imagen_utils.py (1 hunks)
• weave/trace/autopatch.py (5 hunks)

✅ Files skipped from review due to trivial changes (1)

• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync.yaml

🧰 Additional context used

📓 Path-based instructions (2)

`**/*.{yaml,yml,json,tf}`: Check for security best practices...

**/*.{yaml,yml,json,tf}: Check for security best practices.
Verify environment-specific configurations.
Look for hardcoded credentials or sensitive data.
Ensure proper resource limits and requests.
Verify proper versioning of dependencies.
Check for infrastructure best practices.

• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async.yaml
• tests/integrations/google_genai/cassettes/test_google_genai/test_structured_output.yaml
• tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_async.yaml
• tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_sync.yaml
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync_stream.yaml
• tests/integrations/google_genai/cassettes/test_google_genai/test_function_calling.yaml
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async_stream.yaml

`**/*.py`: Focus on pythonic code patterns. Check for proper...

**/*.py: Focus on pythonic code patterns.
Check for proper exception handling.
Verify type hints usage where applicable.
Look for potential performance improvements.
Don't comment on formatting if black/isort is configured.
Check for proper dependency injection patterns.
Verify proper async handling if applicable.

• noxfile.py
• weave/integrations/google_ai_studio/google_ai_studio_sdk.py
• weave/integrations/google_genai/imagen_utils.py
• weave/trace/autopatch.py
• weave/integrations/google_genai/google_genai_sdk.py
• weave/integrations/google_genai/gemini_utils.py
• tests/integrations/google_genai/test_google_genai.py

🪛 Gitleaks (8.21.2)

tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async.yaml

21-21: Uncovered a GCP API key, which could lead to unauthorized access to Google Cloud services and data breaches.

(gcp-api-key)

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• GitHub Check: Trace nox tests (3, 13, trace_server)
• GitHub Check: Trace nox tests (3, 13, trace)
• GitHub Check: Trace nox tests (3, 12, pandas-test)
• GitHub Check: Trace nox tests (3, 12, scorers)
• GitHub Check: Trace nox tests (3, 12, vertexai)
• GitHub Check: Trace nox tests (3, 12, openai)
• GitHub Check: Trace nox tests (3, 12, notdiamond)
• GitHub Check: Trace nox tests (3, 12, mistral1)
• GitHub Check: Trace nox tests (3, 12, mistral0)
• GitHub Check: Trace nox tests (3, 12, llamaindex)
• GitHub Check: Trace nox tests (3, 12, litellm)
• GitHub Check: Trace nox tests (3, 12, langchain)
• GitHub Check: Trace nox tests (3, 12, instructor)
• GitHub Check: Trace nox tests (3, 12, google_genai)
• GitHub Check: Trace nox tests (3, 12, google_ai_studio)
• GitHub Check: Trace nox tests (3, 12, huggingface)
• GitHub Check: Trace nox tests (3, 12, groq)
• GitHub Check: Trace nox tests (3, 12, dspy)
• GitHub Check: Trace nox tests (3, 12, cohere)
• GitHub Check: Trace nox tests (3, 12, cerebras)
• GitHub Check: Trace nox tests (3, 12, bedrock)
• GitHub Check: Trace nox tests (3, 12, anthropic)
• GitHub Check: Trace nox tests (3, 12, trace_server)
• GitHub Check: Trace nox tests (3, 12, trace)
• GitHub Check: Trace nox tests (3, 11, pandas-test)
• GitHub Check: Trace nox tests (3, 11, scorers)
• GitHub Check: Trace nox tests (3, 11, vertexai)
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• GitHub Check: Trace nox tests (3, 11, notdiamond)
• GitHub Check: Trace nox tests (3, 11, mistral1)
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• GitHub Check: Trace nox tests (3, 11, llamaindex)
• GitHub Check: Trace nox tests (3, 11, litellm)
• GitHub Check: Trace nox tests (3, 11, langchain)
• GitHub Check: Trace nox tests (3, 11, instructor)
• GitHub Check: Trace nox tests (3, 11, google_genai)
• GitHub Check: Trace nox tests (3, 11, huggingface)
• GitHub Check: Trace nox tests (3, 11, dspy)
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• GitHub Check: Trace nox tests (3, 11, cerebras)
• GitHub Check: Trace nox tests (3, 11, bedrock)
• GitHub Check: Trace nox tests (3, 11, trace_server)
• GitHub Check: Trace nox tests (3, 11, trace)
• GitHub Check: Trace nox tests (3, 10, pandas-test)
• GitHub Check: Trace nox tests (3, 10, scorers)
• GitHub Check: Trace nox tests (3, 10, vertexai)
• GitHub Check: Trace nox tests (3, 10, openai)
• GitHub Check: Trace nox tests (3, 10, notdiamond)
• GitHub Check: Trace nox tests (3, 10, mistral1)
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• GitHub Check: Trace nox tests (3, 10, litellm)
• GitHub Check: Trace nox tests (3, 10, langchain)
• GitHub Check: Trace nox tests (3, 10, instructor)
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• GitHub Check: Trace nox tests (3, 10, huggingface)
• GitHub Check: Trace nox tests (3, 10, groq)
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• GitHub Check: Trace nox tests (3, 10, cohere)
• GitHub Check: Trace nox tests (3, 10, trace_server)
• GitHub Check: Trace nox tests (3, 10, trace)
• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
• GitHub Check: Trace nox tests (3, 9, vertexai)
• GitHub Check: Trace nox tests (3, 9, openai)
• GitHub Check: Trace nox tests (3, 9, notdiamond)
• GitHub Check: Trace nox tests (3, 9, mistral1)
• GitHub Check: Legacy (Query Service) Python unit tests (1)
• GitHub Check: Legacy (Query Service) Python unit tests (0)
• GitHub Check: Trace nox tests (3, 13, pandas-test)
• GitHub Check: Trace nox tests (3, 13, vertexai)
• GitHub Check: Trace nox tests (3, 13, openai)
• GitHub Check: Trace nox tests (3, 13, mistral1)
• GitHub Check: Trace nox tests (3, 13, mistral0)
• GitHub Check: Trace nox tests (3, 13, llamaindex)
• GitHub Check: Trace nox tests (3, 13, instructor)
• GitHub Check: Trace nox tests (3, 13, google_genai)
• GitHub Check: Trace nox tests (3, 13, huggingface)
• GitHub Check: Trace nox tests (3, 13, groq)
• GitHub Check: Trace nox tests (3, 13, cerebras)
• GitHub Check: Trace nox tests (3, 13, trace_server)
• GitHub Check: Trace nox tests (3, 13, trace)
• GitHub Check: Trace nox tests (3, 12, pandas-test)
• GitHub Check: Trace nox tests (3, 12, scorers)
• GitHub Check: Trace nox tests (3, 12, vertexai)
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• GitHub Check: Trace nox tests (3, 12, notdiamond)
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• GitHub Check: Trace nox tests (3, 12, llamaindex)
• GitHub Check: Trace nox tests (3, 12, litellm)
• GitHub Check: Trace nox tests (3, 12, langchain)
• GitHub Check: Trace nox tests (3, 12, instructor)
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• GitHub Check: Trace nox tests (3, 12, huggingface)
• GitHub Check: Trace nox tests (3, 12, groq)
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• GitHub Check: Trace nox tests (3, 12, cohere)
• GitHub Check: Trace nox tests (3, 12, cerebras)
• GitHub Check: Trace nox tests (3, 12, bedrock)
• GitHub Check: Trace nox tests (3, 12, anthropic)
• GitHub Check: Trace nox tests (3, 12, trace_server)
• GitHub Check: Trace nox tests (3, 12, trace)
• GitHub Check: Trace nox tests (3, 11, pandas-test)
• GitHub Check: Trace nox tests (3, 11, scorers)
• GitHub Check: Trace nox tests (3, 11, vertexai)
• GitHub Check: Trace nox tests (3, 11, openai)
• GitHub Check: Trace nox tests (3, 11, notdiamond)
• GitHub Check: Trace nox tests (3, 11, mistral1)
• GitHub Check: Trace nox tests (3, 11, llamaindex)
• GitHub Check: Trace nox tests (3, 11, litellm)
• GitHub Check: Trace nox tests (3, 11, langchain)
• GitHub Check: Trace nox tests (3, 11, instructor)
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• GitHub Check: Trace nox tests (3, 11, huggingface)
• GitHub Check: Trace nox tests (3, 11, dspy)
• GitHub Check: Trace nox tests (3, 11, cerebras)
• GitHub Check: Trace nox tests (3, 11, bedrock)
• GitHub Check: Trace nox tests (3, 11, trace_server)
• GitHub Check: Trace nox tests (3, 11, trace)
• GitHub Check: Trace nox tests (3, 10, pandas-test)
• GitHub Check: Trace nox tests (3, 10, scorers)
• GitHub Check: Trace nox tests (3, 10, vertexai)
• GitHub Check: Trace nox tests (3, 10, openai)
• GitHub Check: Trace nox tests (3, 10, notdiamond)
• GitHub Check: Trace nox tests (3, 10, mistral1)
• GitHub Check: Trace nox tests (3, 10, llamaindex)
• GitHub Check: Trace nox tests (3, 10, litellm)
• GitHub Check: Trace nox tests (3, 10, langchain)
• GitHub Check: Trace nox tests (3, 10, instructor)
• GitHub Check: Trace nox tests (3, 10, google_genai)
• GitHub Check: Trace nox tests (3, 10, google_ai_studio)
• GitHub Check: Trace nox tests (3, 10, huggingface)
• GitHub Check: Trace nox tests (3, 10, groq)
• GitHub Check: Trace nox tests (3, 10, dspy)
• GitHub Check: Trace nox tests (3, 10, cohere)
• GitHub Check: Trace nox tests (3, 10, trace_server)
• GitHub Check: Trace nox tests (3, 10, trace)
• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
• GitHub Check: Trace nox tests (3, 9, vertexai)
• GitHub Check: Trace nox tests (3, 9, openai)
• GitHub Check: Trace nox tests (3, 9, notdiamond)
• GitHub Check: Trace nox tests (3, 9, mistral1)
• GitHub Check: Legacy (Query Service) Python unit tests (1)
• GitHub Check: Legacy (Query Service) Python unit tests (0)
• GitHub Check: Trace nox tests (3, 13, pandas-test)
• GitHub Check: Trace nox tests (3, 13, vertexai)
• GitHub Check: Trace nox tests (3, 13, openai)
• GitHub Check: Trace nox tests (3, 13, mistral1)
• GitHub Check: Trace nox tests (3, 13, mistral0)
• GitHub Check: Trace nox tests (3, 13, llamaindex)
• GitHub Check: Trace nox tests (3, 13, instructor)
• GitHub Check: Trace nox tests (3, 13, google_genai)
• GitHub Check: Trace nox tests (3, 13, huggingface)
• GitHub Check: Trace nox tests (3, 13, groq)
• GitHub Check: Trace nox tests (3, 13, cerebras)
• GitHub Check: Trace nox tests (3, 13, trace_server)
• GitHub Check: Trace nox tests (3, 13, trace)
• GitHub Check: Trace nox tests (3, 12, pandas-test)
• GitHub Check: Trace nox tests (3, 12, scorers)
• GitHub Check: Trace nox tests (3, 12, vertexai)
• GitHub Check: Trace nox tests (3, 12, openai)
• GitHub Check: Trace nox tests (3, 12, notdiamond)
• GitHub Check: Trace nox tests (3, 12, mistral1)
• GitHub Check: Trace nox tests (3, 12, mistral0)
• GitHub Check: Trace nox tests (3, 12, llamaindex)
• GitHub Check: Trace nox tests (3, 12, litellm)
• GitHub Check: Trace nox tests (3, 12, langchain)
• GitHub Check: Trace nox tests (3, 12, instructor)
• GitHub Check: Trace nox tests (3, 12, google_genai)
• GitHub Check: Trace nox tests (3, 12, google_ai_studio)
• GitHub Check: Trace nox tests (3, 12, huggingface)
• GitHub Check: Trace nox tests (3, 12, groq)
• GitHub Check: Trace nox tests (3, 12, dspy)
• GitHub Check: Trace nox tests (3, 12, cohere)
• GitHub Check: Trace nox tests (3, 12, cerebras)
• GitHub Check: Trace nox tests (3, 12, bedrock)
• GitHub Check: Trace nox tests (3, 12, anthropic)
• GitHub Check: Trace nox tests (3, 12, trace_server)
• GitHub Check: Trace nox tests (3, 12, trace)
• GitHub Check: Trace nox tests (3, 11, pandas-test)
• GitHub Check: Trace nox tests (3, 11, scorers)
• GitHub Check: Trace nox tests (3, 11, vertexai)
• GitHub Check: Trace nox tests (3, 11, openai)
• GitHub Check: Trace nox tests (3, 11, notdiamond)
• GitHub Check: Trace nox tests (3, 11, mistral1)
• GitHub Check: Trace nox tests (3, 11, llamaindex)
• GitHub Check: Trace nox tests (3, 11, litellm)
• GitHub Check: Trace nox tests (3, 11, langchain)
• GitHub Check: Trace nox tests (3, 11, instructor)
• GitHub Check: Trace nox tests (3, 11, google_genai)
• GitHub Check: Trace nox tests (3, 11, huggingface)
• GitHub Check: Trace nox tests (3, 11, dspy)
• GitHub Check: Trace nox tests (3, 11, cerebras)
• GitHub Check: Trace nox tests (3, 11, bedrock)
• GitHub Check: Trace nox tests (3, 11, trace_server)
• GitHub Check: Trace nox tests (3, 11, trace)
• GitHub Check: Trace nox tests (3, 10, scorers)
• GitHub Check: Trace nox tests (3, 10, vertexai)
• GitHub Check: Trace nox tests (3, 10, openai)
• GitHub Check: Trace nox tests (3, 10, notdiamond)
• GitHub Check: Trace nox tests (3, 10, mistral1)
• GitHub Check: Trace nox tests (3, 10, llamaindex)
• GitHub Check: Trace nox tests (3, 10, litellm)
• GitHub Check: Trace nox tests (3, 10, langchain)
• GitHub Check: Trace nox tests (3, 10, instructor)
• GitHub Check: Trace nox tests (3, 10, google_genai)
• GitHub Check: Trace nox tests (3, 10, google_ai_studio)
• GitHub Check: Trace nox tests (3, 10, groq)
• GitHub Check: Trace nox tests (3, 10, dspy)
• GitHub Check: Trace nox tests (3, 10, cohere)
• GitHub Check: Trace nox tests (3, 10, trace_server)
• GitHub Check: Trace nox tests (3, 10, trace)
• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
• GitHub Check: Trace nox tests (3, 9, vertexai)
• GitHub Check: Trace nox tests (3, 9, openai)
• GitHub Check: Trace nox tests (3, 9, notdiamond)
• GitHub Check: Trace nox tests (3, 9, mistral1)
• GitHub Check: Legacy (Query Service) Python unit tests (1)
• GitHub Check: Legacy (Query Service) Python unit tests (0)
• GitHub Check: Trace nox tests (3, 13, pandas-test)
• GitHub Check: Trace nox tests (3, 13, vertexai)
• GitHub Check: Trace nox tests (3, 13, openai)
• GitHub Check: Trace nox tests (3, 13, mistral1)
• GitHub Check: Trace nox tests (3, 13, mistral0)
• GitHub Check: Trace nox tests (3, 13, llamaindex)
• GitHub Check: Trace nox tests (3, 13, instructor)
• GitHub Check: Trace nox tests (3, 13, google_genai)
• GitHub Check: Trace nox tests (3, 13, huggingface)
• GitHub Check: Trace nox tests (3, 13, groq)
• GitHub Check: Trace nox tests (3, 13, cerebras)
• GitHub Check: Trace nox tests (3, 13, trace_server)
• GitHub Check: Trace nox tests (3, 13, trace)
• GitHub Check: Trace nox tests (3, 12, pandas-test)
• GitHub Check: Trace nox tests (3, 12, scorers)
• GitHub Check: Trace nox tests (3, 12, vertexai)
• GitHub Check: Trace nox tests (3, 12, openai)
• GitHub Check: Trace nox tests (3, 12, notdiamond)
• GitHub Check: Trace nox tests (3, 12, mistral1)
• GitHub Check: Trace nox tests (3, 12, mistral0)
• GitHub Check: Trace nox tests (3, 12, llamaindex)
• GitHub Check: Trace nox tests (3, 12, litellm)
• GitHub Check: Trace nox tests (3, 12, langchain)
• GitHub Check: Trace nox tests (3, 12, instructor)
• GitHub Check: Trace nox tests (3, 12, google_genai)
• GitHub Check: Trace nox tests (3, 12, google_ai_studio)
• GitHub Check: Trace nox tests (3, 12, huggingface)
• GitHub Check: Trace nox tests (3, 12, groq)
• GitHub Check: Trace nox tests (3, 12, dspy)
• GitHub Check: Trace nox tests (3, 12, cohere)
• GitHub Check: Trace nox tests (3, 12, cerebras)
• GitHub Check: Trace nox tests (3, 12, bedrock)
• GitHub Check: Trace nox tests (3, 12, anthropic)
• GitHub Check: Trace nox tests (3, 12, trace_server)
• GitHub Check: Trace nox tests (3, 12, trace)
• GitHub Check: Trace nox tests (3, 11, pandas-test)
• GitHub Check: Trace nox tests (3, 11, scorers)
• GitHub Check: Trace nox tests (3, 11, openai)
• GitHub Check: Trace nox tests (3, 11, notdiamond)
• GitHub Check: Trace nox tests (3, 11, mistral1)
• GitHub Check: Trace nox tests (3, 11, llamaindex)
• GitHub Check: Trace nox tests (3, 11, litellm)
• GitHub Check: Trace nox tests (3, 11, langchain)
• GitHub Check: Trace nox tests (3, 11, google_genai)
• GitHub Check: Trace nox tests (3, 11, huggingface)
• GitHub Check: Trace nox tests (3, 11, dspy)
• GitHub Check: Trace nox tests (3, 11, cerebras)
• GitHub Check: Trace nox tests (3, 11, bedrock)
• GitHub Check: Trace nox tests (3, 11, trace_server)
• GitHub Check: Trace nox tests (3, 11, trace)
• GitHub Check: Trace nox tests (3, 10, scorers)
• GitHub Check: Trace nox tests (3, 10, vertexai)
• GitHub Check: Trace nox tests (3, 10, openai)
• GitHub Check: Trace nox tests (3, 10, notdiamond)
• GitHub Check: Trace nox tests (3, 10, mistral1)
• GitHub Check: Trace nox tests (3, 10, llamaindex)
• GitHub Check: Trace nox tests (3, 10, litellm)
• GitHub Check: Trace nox tests (3, 10, langchain)
• GitHub Check: Trace nox tests (3, 10, instructor)
• GitHub Check: Trace nox tests (3, 10, google_genai)
• GitHub Check: Trace nox tests (3, 10, google_ai_studio)
• GitHub Check: Trace nox tests (3, 10, groq)
• GitHub Check: Trace nox tests (3, 10, dspy)
• GitHub Check: Trace nox tests (3, 10, cohere)
• GitHub Check: Trace nox tests (3, 10, trace_server)
• GitHub Check: Trace nox tests (3, 10, trace)
• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
• GitHub Check: Trace nox tests (3, 9, vertexai)
• GitHub Check: Trace nox tests (3, 9, openai)
• GitHub Check: Trace nox tests (3, 9, notdiamond)
• GitHub Check: Trace nox tests (3, 9, mistral1)
• GitHub Check: notify-wandb-core
• GitHub Check: Legacy (Query Service) Python unit tests (1)
• GitHub Check: Trace nox tests (3, 13, pandas-test)
• GitHub Check: Trace nox tests (3, 13, vertexai)
• GitHub Check: Trace nox tests (3, 13, openai)
• GitHub Check: Trace nox tests (3, 13, mistral1)
• GitHub Check: Trace nox tests (3, 13, mistral0)
• GitHub Check: Trace nox tests (3, 13, llamaindex)
• GitHub Check: Trace nox tests (3, 13, instructor)
• GitHub Check: Trace nox tests (3, 13, google_genai)
• GitHub Check: Trace nox tests (3, 13, huggingface)
• GitHub Check: Trace nox tests (3, 13, groq)
• GitHub Check: Trace nox tests (3, 13, cerebras)
• GitHub Check: Trace nox tests (3, 13, trace_server)
• GitHub Check: Trace nox tests (3, 13, trace)
• GitHub Check: Trace nox tests (3, 12, pandas-test)
• GitHub Check: Trace nox tests (3, 12, scorers)
• GitHub Check: Trace nox tests (3, 12, vertexai)
• GitHub Check: Trace nox tests (3, 12, openai)
• GitHub Check: Trace nox tests (3, 12, notdiamond)
• GitHub Check: Trace nox tests (3, 12, mistral1)
• GitHub Check: Trace nox tests (3, 12, mistral0)
• GitHub Check: Trace nox tests (3, 12, llamaindex)
• GitHub Check: Trace nox tests (3, 12, litellm)
• GitHub Check: Trace nox tests (3, 12, langchain)
• GitHub Check: Trace nox tests (3, 12, instructor)
• GitHub Check: Trace nox tests (3, 12, google_genai)
• GitHub Check: Trace nox tests (3, 12, google_ai_studio)
• GitHub Check: Trace nox tests (3, 12, huggingface)
• GitHub Check: Trace nox tests (3, 12, groq)
• GitHub Check: Trace nox tests (3, 12, dspy)
• GitHub Check: Trace nox tests (3, 12, cohere)
• GitHub Check: Trace nox tests (3, 12, cerebras)
• GitHub Check: Trace nox tests (3, 12, bedrock)
• GitHub Check: Trace nox tests (3, 12, anthropic)
• GitHub Check: Trace nox tests (3, 12, trace_server)
• GitHub Check: Trace nox tests (3, 12, trace)
• GitHub Check: Trace nox tests (3, 11, pandas-test)
• GitHub Check: Trace nox tests (3, 11, scorers)
• GitHub Check: Trace nox tests (3, 11, notdiamond)
• GitHub Check: Trace nox tests (3, 11, mistral1)
• GitHub Check: Trace nox tests (3, 11, llamaindex)
• GitHub Check: Trace nox tests (3, 11, litellm)
• GitHub Check: Trace nox tests (3, 11, langchain)
• GitHub Check: Trace nox tests (3, 11, google_genai)
• GitHub Check: Trace nox tests (3, 11, huggingface)
• GitHub Check: Trace nox tests (3, 11, trace_server)
• GitHub Check: Trace nox tests (3, 11, trace)
• GitHub Check: Trace nox tests (3, 10, scorers)
• GitHub Check: Trace nox tests (3, 10, openai)
• GitHub Check: Trace nox tests (3, 10, notdiamond)
• GitHub Check: Trace nox tests (3, 10, mistral1)
• GitHub Check: Trace nox tests (3, 10, llamaindex)
• GitHub Check: Trace nox tests (3, 10, litellm)
• GitHub Check: Trace nox tests (3, 10, langchain)
• GitHub Check: Trace nox tests (3, 10, instructor)
• GitHub Check: Trace nox tests (3, 10, google_genai)
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• GitHub Check: Trace nox tests (3, 10, groq)
• GitHub Check: Trace nox tests (3, 10, dspy)
• GitHub Check: Trace nox tests (3, 10, cohere)
• GitHub Check: Trace nox tests (3, 10, trace_server)
• GitHub Check: Trace nox tests (3, 10, trace)
• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
• GitHub Check: Trace nox tests (3, 9, vertexai)
• GitHub Check: Trace nox tests (3, 9, openai)
• GitHub Check: Trace nox tests (3, 9, notdiamond)
• GitHub Check: Trace nox tests (3, 9, mistral1)
• GitHub Check: notify-wandb-core
• GitHub Check: Trace nox tests (3, 13, pandas-test)
• GitHub Check: Trace nox tests (3, 13, vertexai)
• GitHub Check: Trace nox tests (3, 13, openai)
• GitHub Check: Trace nox tests (3, 13, mistral1)
• GitHub Check: Trace nox tests (3, 13, mistral0)
• GitHub Check: Trace nox tests (3, 13, llamaindex)
• GitHub Check: Trace nox tests (3, 13, instructor)
• GitHub Check: Trace nox tests (3, 13, google_genai)
• GitHub Check: Trace nox tests (3, 13, huggingface)
• GitHub Check: Trace nox tests (3, 13, groq)
• GitHub Check: Trace nox tests (3, 13, cerebras)
• GitHub Check: Trace nox tests (3, 13, trace_server)
• GitHub Check: Trace nox tests (3, 13, trace)
• GitHub Check: Trace nox tests (3, 12, pandas-test)
• GitHub Check: Trace nox tests (3, 12, scorers)
• GitHub Check: Trace nox tests (3, 12, vertexai)
• GitHub Check: Trace nox tests (3, 12, openai)
• GitHub Check: Trace nox tests (3, 12, notdiamond)
• GitHub Check: Trace nox tests (3, 12, mistral1)
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• GitHub Check: Trace nox tests (3, 12, llamaindex)
• GitHub Check: Trace nox tests (3, 12, litellm)
• GitHub Check: Trace nox tests (3, 12, langchain)
• GitHub Check: Trace nox tests (3, 12, instructor)
• GitHub Check: Trace nox tests (3, 12, google_genai)
• GitHub Check: Trace nox tests (3, 12, huggingface)
• GitHub Check: Trace nox tests (3, 12, groq)
• GitHub Check: Trace nox tests (3, 12, dspy)
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• GitHub Check: Trace nox tests (3, 12, cerebras)
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• GitHub Check: Trace nox tests (3, 12, anthropic)
• GitHub Check: Trace nox tests (3, 12, trace_server)
• GitHub Check: Trace nox tests (3, 12, trace)
• GitHub Check: Trace nox tests (3, 11, pandas-test)
• GitHub Check: Trace nox tests (3, 11, scorers)
• GitHub Check: Trace nox tests (3, 11, notdiamond)
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• GitHub Check: Trace nox tests (3, 11, litellm)
• GitHub Check: Trace nox tests (3, 11, langchain)
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• GitHub Check: Trace nox tests (3, 11, huggingface)
• GitHub Check: Trace nox tests (3, 11, trace_server)
• GitHub Check: Trace nox tests (3, 11, trace)
• GitHub Check: Trace nox tests (3, 10, scorers)
• GitHub Check: Trace nox tests (3, 10, openai)
• GitHub Check: Trace nox tests (3, 10, notdiamond)
• GitHub Check: Trace nox tests (3, 10, mistral1)
• GitHub Check: Trace nox tests (3, 10, llamaindex)
• GitHub Check: Trace nox tests (3, 10, litellm)
• GitHub Check: Trace nox tests (3, 10, langchain)
• GitHub Check: Trace nox tests (3, 10, instructor)
• GitHub Check: Trace nox tests (3, 10, google_genai)
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• GitHub Check: Trace nox tests (3, 10, groq)
• GitHub Check: Trace nox tests (3, 10, dspy)
• GitHub Check: Trace nox tests (3, 10, cohere)
• GitHub Check: Trace nox tests (3, 10, trace_server)
• GitHub Check: Trace nox tests (3, 10, trace)
• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
• GitHub Check: Trace nox tests (3, 9, vertexai)
• GitHub Check: Trace nox tests (3, 9, openai)
• GitHub Check: Trace nox tests (3, 9, notdiamond)
• GitHub Check: Trace nox tests (3, 13, pandas-test)
• GitHub Check: Trace nox tests (3, 13, vertexai)
• GitHub Check: Trace nox tests (3, 13, openai)
• GitHub Check: Trace nox tests (3, 13, mistral1)
• GitHub Check: Trace nox tests (3, 13, mistral0)
• GitHub Check: Trace nox tests (3, 13, llamaindex)
• GitHub Check: Trace nox tests (3, 13, instructor)
• GitHub Check: Trace nox tests (3, 13, google_genai)
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🔇 Additional comments (21)

weave/integrations/google_genai/imagen_utils.py (1)

1-11: Imports look fine.
No immediate issues or improvements are apparent here.

weave/integrations/google_genai/google_genai_sdk.py (2)

1-14: Imports and basic setup look good.
No issues found with import organization or basic definitions.

---

16-24: Conditionally returning NoOpPatcher is straightforward.
Returning NoOpPatcher when the integration is disabled helps avoid unintended side effects. This logic appears clean.

weave/integrations/google_genai/gemini_utils.py (2)

1-9: Imports and definitions appear acceptable.
No critical issues identified in this import section.

---

85-103: Synchronous wrapper looks well-structured.
The design is clear, and the accumulator approach seems consistent. Only a minor suggestion to include docstrings or extra comments to clarify usage.

noxfile.py (4)

6-8: LGTM! Proper handling of Python 3.9 incompatibility.

The constant is well-defined and follows the existing pattern for incompatible shards.

---

46-46: LGTM! Test shard properly added.

The google_genai shard is correctly added to the list of test shards.

---

68-69: LGTM! Proper skip logic for Python 3.9.

The skip logic for Python 3.9 incompatible shards is implemented correctly.

---

85-85: LGTM! Proper environment variable handling.

The GOOGLE_API_KEY environment variable is correctly set for the google_genai shard.

weave/trace/autopatch.py (2)

42-45: LGTM! Proper integration settings.

The new integration settings for Google GenAI are properly defined using the IntegrationSettings class.

---

71-72: LGTM! Proper import and function call updates.

The imports and function calls are correctly updated to use the new Google GenAI integration.

Also applies to: 99-100

weave/integrations/google_ai_studio/google_ai_studio_sdk.py (2)

18-18: LGTM! Clear variable naming.

The variable name change from _google_genai_patcher to _google_generativeai_patcher improves clarity.

---

139-141: LGTM! Proper deprecation handling.

The deprecation warning is correctly implemented using the @deprecated decorator.

tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async_stream.yaml (1)

20-21: Critical: Remove exposed API key from test cassettes.

The test cassette contains a hardcoded Google API key in the request headers. This is a security risk as test cassettes are typically committed to version control.

tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync_stream.yaml (1)

20-21: Critical: Remove exposed API key from test cassettes.

The test cassette contains a hardcoded Google API key in the request headers. This is a security risk as test cassettes are typically committed to version control.

tests/integrations/google_genai/cassettes/test_google_genai/test_function_calling.yaml (1)

23-24: Critical: Remove exposed API key from test cassettes.

The test cassette contains a hardcoded Google API key in the request headers. This is a security risk as test cassettes are typically committed to version control.

tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_sync.yaml (1)

23-24: Critical: Remove exposed API key from test cassettes.

The test cassette contains a hardcoded Google API key in the request headers. This is a security risk as test cassettes are typically committed to version control.

tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_async.yaml (1)

1-77: Test cassette structure looks good!

The test cassette properly captures:

• Request/response cycle for chat functionality
• Headers and status codes
• Response body with generated code

tests/integrations/google_genai/cassettes/test_google_genai/test_structured_output.yaml (1)

1-80: Test cassette structure looks good!

The test cassette properly captures:

• Request/response cycle for structured output
• Schema validation in request
• Response format validation

pyproject.toml (1)

56-57:

❓ Verification inconclusive

Verify the need for both Google AI dependencies.

The project now has two Google AI-related dependencies:

1. google_ai_studio = ["google-generativeai>=0.8.3"]
2. google_genai = ["google-genai>=1.0.0"]

Please verify if both are needed or if one should replace the other.

---

🌐 Web query:

What is the difference between google-generativeai and google-genai Python packages?

💡 Result:

Google offers two Python packages for interacting with their generative AI services: google-generativeai (legacy) and google-genai (new). Here's a breakdown of their differences:

---

Core Differences

Aspect	google-generativeai	google-genai
Purpose	Legacy low-level API for direct model interaction	Modern high-level abstraction layer simplifying workflows
Architecture	Object-oriented design with granular control over parameters	Functional/procedural style with preconfigured defaults
Installation	pip install google-generativeai	pip install google-genai
Imports	import google.generativeai as genai	from google import genai
Client Setup	Configure via genai.configure(api_key=...)	Create a client instance: client = genai.Client(...)
Error Handling	Exposes Google-specific API error codes	Simplified Pythonic exceptions
Future Support	Limited to basic features; no new updates	Actively maintained with new features (e.g., async support, Vertex AI integration)

---

Key Technical Distinctions

1. Workflow Complexity:

   • google-generativeai: Requires explicit configuration of GenerationConfig, SafetySettings, and input/output structures[1][5].
   • google-genai: Abstracts boilerplate code (e.g., auto-handles common parameters)[1][7].

2. Service Integration:

   • google-genai natively supports both Gemini Developer API and Vertex AI via client flags:

     # Vertex AI setup
     client = genai.Client(vertexai=True, project="your-project-id", location="us-central1")[5][8]

3. Code Style:

   • google-generativeai (object-oriented):

     model = genai.GenerativeModel('gemini-pro')
     response = model.generate_content("Explain quantum physics")[6][7]

   • google-genai (functional):

     response = client.generate_content(model="gemini-pro", prompt="Explain quantum physics")[5][8]

4. Advanced Features:

   • Only google-genai supports:
     • Asynchronous operations via asyncio[3]
     • Pydantic model typing for structured responses[4][7]
     • Simplified function calling[3]

---

Migration Recommendations

Google indicates google-genai will become the primary SDK[1][8]. Developers should:

1. Use google-genai for new projects
2. Migrate existing codebases gradually (both libraries coexist temporarily)
3. Prioritize google-genai for features like:
   • 2M-token context windows[2]
   • Multimodal processing[2]
   • Enterprise security controls[2]

For basic text generation, both work similarly, but google-genai reduces development time by ~40% according to internal benchmarks[1].

Citations:

• 1: https://discuss.ai.google.dev/t/google-generativeai-vs-python-genai/53873
• 2: https://cloud.google.com/vertex-ai/generative-ai/docs/overview
• 3: https://ithy.com/article/introduction-to-using-google-genai-library-18gdcoky
• 4: https://googleapis.github.io/python-genai/
• 5: https://pypi.org/project/google-generativeai/
• 6: https://ai.google.dev/api/generate-content
• 7: https://pypi.org/project/google-genai/
• 8: https://discuss.ai.google.dev/t/need-clarification-about-google-ai-python-packages-google-genai-vs-google-generativeai/61116
• 9: https://www.npmjs.com/package/@google/generative-ai
• 10: https://python.langchain.com/v0.1/docs/integrations/llms/google_ai/

---

Action: Confirm Dependency Needs for Google AI Libraries

The pyproject.toml now specifies two Google AI dependencies:

• google_ai_studio using the legacy package google-generativeai>=0.8.3
• google_genai using the modern package google-genai>=1.0.0

Google’s documentation shows that while both packages support text generation, google-generativeai is the legacy, low-level API offering granular control, whereas google-genai is the actively maintained, high-level abstraction with additional features like asynchronous operations and simplified error handling.

Please verify whether parts of the codebase still require the legacy API provided by google-generativeai. If not, consider migrating exclusively to google-genai to streamline the dependencies.

.github/workflows/test.yaml (1)

246-246: LGTM! Matrix configuration updated correctly.

The addition of "google_genai" to the nox-shard matrix aligns with the new Google GenAI integration. The environment variables and secrets are properly configured.

[coderabbitai]

Actionable comments posted: 0

♻️ Duplicate comments (1)

weave/integrations/google_genai/gemini_utils.py (1)

49-84: ⚠️ Potential issue

Add safety checks for array indices.

The function assumes that acc.candidates[i] and acc.candidates[i].content.parts[j] exist without validation, which could lead to IndexError.

 def google_genai_gemini_accumulator(
     acc: Union["GenerateContentResponse", None], value: "GenerateContentResponse"
 ) -> "GenerateContentResponse":
     if acc is None:
         return value

     for i, value_candidate in enumerate(value.candidates):
+        if i >= len(acc.candidates):
+            break
         for j, value_part in enumerate(value_candidate.content.parts):
+            if j >= len(acc.candidates[i].content.parts):
+                break
             if value_part.text is not None:
                 acc.candidates[i].content.parts[j].text += value_part.text

🧹 Nitpick comments (1)

weave/integrations/google_genai/gemini_utils.py (1)

25-46: Add type validation for usage metadata fields.

The function should validate that output.usage_metadata and its fields exist before accessing them to prevent potential AttributeError.

 def google_genai_gemini_on_finish(
     call: Call, output: Any, exception: Union[BaseException, None]
 ) -> None:
     model_name = None
     if "model" in call.inputs:
         model_name = call.inputs["model"]
     else:
         raise ValueError("Unknown model type")
     usage = {model_name: {"requests": 1}}
     summary_update = {"usage": usage}
     if output:
         call.output = dictify(output)
+        if hasattr(output, "usage_metadata"):
             usage[model_name].update(
                 {
                     "cached_content_token_count": output.usage_metadata.cached_content_token_count,
                     "prompt_token_count": output.usage_metadata.prompt_token_count,
                     "candidates_token_count": output.usage_metadata.candidates_token_count,
                     "total_token_count": output.usage_metadata.total_token_count,
                 }
             )
     if call.summary is not None:
         call.summary.update(summary_update)

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🔇 Additional comments (4)

weave/integrations/google_genai/__init__.py (1)

1-5: LGTM!

The import and export of google_genai_gemini_postprocess_inputs are properly structured.

weave/integrations/google_genai/gemini_utils.py (3)

14-22: LGTM!

The function is well-structured with proper type hints and edge case handling.

---

87-105: LGTM!

The wrapper is well-structured with proper type hints and follows good wrapper patterns.

---

107-131: LGTM!

The async wrapper is well-structured with proper type hints and correctly handles asynchronous operations.

[coderabbitai]

Actionable comments posted: 2

🧹 Nitpick comments (1)

tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync.yaml (1)

1-64: Consider adding more test scenarios.

While this test case covers basic content generation, consider adding test cassettes for:

• Error scenarios (rate limiting, invalid API key)
• Different content types
• Edge cases with longer inputs

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• GitHub Check: Trace nox tests (3, 11, bedrock)
• GitHub Check: Trace nox tests (3, 11, trace_server)
• GitHub Check: Trace nox tests (3, 11, trace)
• GitHub Check: Trace nox tests (3, 10, scorers)
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• GitHub Check: Trace nox tests (3, 10, notdiamond)
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• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
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• GitHub Check: Legacy (Query Service) Python unit tests (1)
• GitHub Check: Trace nox tests (3, 13, pandas-test)
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• GitHub Check: Trace nox tests (3, 10, scorers)
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• GitHub Check: Trace nox tests (3, 9, pandas-test)
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• GitHub Check: Trace nox tests (3, 13, pandas-test)
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• GitHub Check: Trace nox tests (3, 13, groq)
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• GitHub Check: Trace nox tests (3, 12, pandas-test)
• GitHub Check: Trace nox tests (3, 12, scorers)
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• GitHub Check: Trace nox tests (3, 12, cohere)
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• GitHub Check: Trace nox tests (3, 11, scorers)
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• GitHub Check: Trace nox tests (3, 11, notdiamond)
• GitHub Check: Trace nox tests (3, 11, mistral1)
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• GitHub Check: Trace nox tests (3, 11, litellm)
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• GitHub Check: Trace nox tests (3, 11, google_genai)
• GitHub Check: Trace nox tests (3, 11, groq)
• GitHub Check: Trace nox tests (3, 11, dspy)
• GitHub Check: Trace nox tests (3, 11, cohere)
• GitHub Check: Trace nox tests (3, 11, bedrock)
• GitHub Check: Trace nox tests (3, 11, trace_server)
• GitHub Check: Trace nox tests (3, 11, trace)
• GitHub Check: Trace nox tests (3, 10, scorers)
• GitHub Check: Trace nox tests (3, 10, vertexai)
• GitHub Check: Trace nox tests (3, 10, notdiamond)
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• GitHub Check: Trace nox tests (3, 10, litellm)
• GitHub Check: Trace nox tests (3, 10, langchain)
• GitHub Check: Trace nox tests (3, 10, instructor)
• GitHub Check: Trace nox tests (3, 10, google_genai)
• GitHub Check: Trace nox tests (3, 10, dspy)
• GitHub Check: Trace nox tests (3, 10, cohere)
• GitHub Check: Trace nox tests (3, 10, trace_server)
• GitHub Check: Trace nox tests (3, 10, trace)
• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
• GitHub Check: Trace nox tests (3, 9, openai)
• GitHub Check: Trace nox tests (3, 9, notdiamond)
• GitHub Check: Trace nox tests (3, 13, pandas-test)
• GitHub Check: Trace nox tests (3, 13, vertexai)
• GitHub Check: Trace nox tests (3, 13, openai)
• GitHub Check: Trace nox tests (3, 13, mistral1)
• GitHub Check: Trace nox tests (3, 13, mistral0)
• GitHub Check: Trace nox tests (3, 13, llamaindex)
• GitHub Check: Trace nox tests (3, 13, instructor)
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• GitHub Check: Trace nox tests (3, 13, huggingface)
• GitHub Check: Trace nox tests (3, 13, groq)
• GitHub Check: Trace nox tests (3, 13, cerebras)
• GitHub Check: Trace nox tests (3, 13, trace_server)
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• GitHub Check: Trace nox tests (3, 12, pandas-test)
• GitHub Check: Trace nox tests (3, 12, scorers)
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• GitHub Check: Trace nox tests (3, 12, cohere)
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• GitHub Check: Trace nox tests (3, 12, trace_server)
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• GitHub Check: Trace nox tests (3, 11, scorers)
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• GitHub Check: Trace nox tests (3, 11, cohere)
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• GitHub Check: Trace nox tests (3, 11, trace_server)
• GitHub Check: Trace nox tests (3, 11, trace)
• GitHub Check: Trace nox tests (3, 10, scorers)
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• GitHub Check: Trace nox tests (3, 10, langchain)
• GitHub Check: Trace nox tests (3, 10, instructor)
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• GitHub Check: Trace nox tests (3, 10, dspy)
• GitHub Check: Trace nox tests (3, 10, cohere)
• GitHub Check: Trace nox tests (3, 10, trace_server)
• GitHub Check: Trace nox tests (3, 10, trace)
• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
• GitHub Check: Trace nox tests (3, 9, openai)
• GitHub Check: Trace nox tests (3, 9, notdiamond)
• GitHub Check: Trace nox tests (3, 13, pandas-test)
• GitHub Check: Trace nox tests (3, 13, vertexai)
• GitHub Check: Trace nox tests (3, 13, openai)
• GitHub Check: Trace nox tests (3, 13, mistral1)
• GitHub Check: Trace nox tests (3, 13, mistral0)
• GitHub Check: Trace nox tests (3, 13, llamaindex)
• GitHub Check: Trace nox tests (3, 13, instructor)
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• GitHub Check: Trace nox tests (3, 13, huggingface)
• GitHub Check: Trace nox tests (3, 13, groq)
• GitHub Check: Trace nox tests (3, 13, cerebras)
• GitHub Check: Trace nox tests (3, 13, trace_server)
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• GitHub Check: Trace nox tests (3, 12, pandas-test)
• GitHub Check: Trace nox tests (3, 12, scorers)
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• GitHub Check: Trace nox tests (3, 12, notdiamond)
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• GitHub Check: Trace nox tests (3, 10, scorers)
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• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
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• GitHub Check: Trace nox tests (3, 13, pandas-test)
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• GitHub Check: Trace nox tests (3, 13, groq)
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• GitHub Check: Trace nox tests (3, 12, pandas-test)
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• GitHub Check: Trace nox tests (3, 10, scorers)
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• GitHub Check: Trace nox tests (3, 9, scorers)
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• GitHub Check: Trace nox tests (3, 13, pandas-test)
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🔇 Additional comments (1)

tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync.yaml (1)

24-62: Response structure includes comprehensive metadata.

The response structure is well-documented with:

• Clear text response
• Token usage metrics
• Model version
• Appropriate security headers (X-Frame-Options, X-XSS-Protection)

[coderabbitai]

Actionable comments posted: 0

🔭 Outside diff range comments (1)

weave/integrations/google_genai/gemini_utils.py (1)

112-137: 🛠️ Refactor suggestion

Reduce code duplication and add validation.

The async wrapper shares significant code with the sync wrapper. Consider extracting common logic and adding validation.

Consider these improvements:

1. Extract common logic:

def _common_wrapper_setup(settings: OpSettings, op: Any) -> Any:
    if not isinstance(settings, OpSettings):
        raise TypeError("settings must be an instance of OpSettings")
    op_kwargs = settings.model_dump()
    if not op_kwargs.get("postprocess_inputs"):
        op_kwargs["postprocess_inputs"] = google_genai_gemini_postprocess_inputs
    if not op.name.endswith("count_tokens"):
        op._set_on_finish_handler(google_genai_gemini_on_finish)
    return add_accumulator(
        op,
        make_accumulator=lambda inputs: google_genai_gemini_accumulator,
        should_accumulate=lambda inputs: op.name.endswith("stream"),
    )

2. Simplify wrappers:

 def google_genai_gemini_wrapper_async(
     settings: OpSettings,
 ) -> Callable[[Callable], Callable]:
     def wrapper(fn: Callable) -> Callable:
         def _fn_wrapper(fn: Callable) -> Callable:
             @wraps(fn)
             async def _async_wrapper(*args: Any, **kwargs: Any) -> Any:
                 return await fn(*args, **kwargs)
             return _async_wrapper

-        op_kwargs = settings.model_dump()
-        if not op_kwargs.get("postprocess_inputs"):
-            op_kwargs["postprocess_inputs"] = google_genai_gemini_postprocess_inputs
-
         op = weave.op(_fn_wrapper(fn), **op_kwargs)
-        if not op.name.endswith("count_tokens"):
-            op._set_on_finish_handler(google_genai_gemini_on_finish)
-        return add_accumulator(
-            op,
-            make_accumulator=lambda inputs: google_genai_gemini_accumulator,
-            should_accumulate=lambda inputs: op.name.endswith("stream"),
-        )
+        return _common_wrapper_setup(settings, op)

🧹 Nitpick comments (4)

weave/integrations/google_genai/gemini_utils.py (4)

14-22: Add input validation and improve type hints.

The function should validate required keys and add return type hints for the dictify function.

Consider adding these improvements:

 def google_genai_gemini_postprocess_inputs(inputs: dict[str, Any]) -> dict[str, Any]:
+    if "self" not in inputs:
+        return inputs
     model_name = inputs["self"]._model if hasattr(inputs["self"], "_model") else None
-    if "self" in inputs:
-        inputs["self"] = dictify(inputs["self"])  # type: Any
-        if inputs["self"]["__class__"]["module"] == "__main__":
-            inputs["self"]["__class__"]["module"] = ""
+    inputs["self"] = dictify(inputs["self"])  # type: dict[str, Any]
+    if inputs["self"].get("__class__", {}).get("module") == "__main__":
+        inputs["self"]["__class__"]["module"] = ""
     if model_name is not None:
         inputs["model"] = model_name
     return inputs

---

25-48: Add validation for usage_metadata structure.

The function assumes the structure of output.usage_metadata without validation, which could lead to AttributeError.

Consider adding validation:

     if output:
         call.output = dictify(output)
-        if hasattr(output, "usage_metadata"):
+        if (hasattr(output, "usage_metadata") and 
+            output.usage_metadata is not None):
             usage[model_name].update(
                 {
-                    "cached_content_token_count": output.usage_metadata.cached_content_token_count,
-                    "prompt_token_count": output.usage_metadata.prompt_token_count,
-                    "candidates_token_count": output.usage_metadata.candidates_token_count,
-                    "total_token_count": output.usage_metadata.total_token_count,
+                    "cached_content_token_count": getattr(output.usage_metadata, "cached_content_token_count", 0),
+                    "prompt_token_count": getattr(output.usage_metadata, "prompt_token_count", 0),
+                    "candidates_token_count": getattr(output.usage_metadata, "candidates_token_count", 0),
+                    "total_token_count": getattr(output.usage_metadata, "total_token_count", 0),
                 }
             )

---

65-88: Add validation for usage_metadata structure.

The function assumes the structure of usage_metadata without validation, which could lead to AttributeError.

Consider adding validation:

+    if not hasattr(acc, "usage_metadata") or not hasattr(value, "usage_metadata"):
+        return acc
+
     if acc.usage_metadata.prompt_token_count is None:
         acc.usage_metadata.prompt_token_count = 0
     elif value.usage_metadata.prompt_token_count is not None:

---

92-110: Add validation for settings parameter.

The function should validate the settings parameter to ensure it contains required fields.

Consider adding validation:

 def google_genai_gemini_wrapper_sync(
     settings: OpSettings,
 ) -> Callable[[Callable], Callable]:
+    if not isinstance(settings, OpSettings):
+        raise TypeError("settings must be an instance of OpSettings")
     def wrapper(fn: Callable) -> Callable:
         op_kwargs = settings.model_dump()

📜 Review details

Configuration used: .coderabbit.yaml
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 7e16279 and 660c2e7.

📒 Files selected for processing (1)

• weave/integrations/google_genai/gemini_utils.py (1 hunks)

🧰 Additional context used

📓 Path-based instructions (1)

`**/*.py`: Focus on pythonic code patterns. Check for proper...

**/*.py: Focus on pythonic code patterns.
Check for proper exception handling.
Verify type hints usage where applicable.
Look for potential performance improvements.
Don't comment on formatting if black/isort is configured.
Check for proper dependency injection patterns.
Verify proper async handling if applicable.

• weave/integrations/google_genai/gemini_utils.py

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• GitHub Check: Trace nox tests (3, 10, google_ai_studio)
• GitHub Check: Trace nox tests (3, 10, huggingface)
• GitHub Check: Trace nox tests (3, 10, dspy)
• GitHub Check: Trace nox tests (3, 10, cohere)
• GitHub Check: Trace nox tests (3, 10, cerebras)
• GitHub Check: Trace nox tests (3, 10, anthropic)
• GitHub Check: Trace nox tests (3, 10, trace_server)
• GitHub Check: Trace nox tests (3, 10, trace)
• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
• GitHub Check: Trace nox tests (3, 9, vertexai)
• GitHub Check: Trace nox tests (3, 9, openai)
• GitHub Check: Trace nox tests (3, 9, notdiamond)
• GitHub Check: Trace nox tests (3, 9, mistral1)
• GitHub Check: Legacy (Query Service) Python unit tests (1)
• GitHub Check: WeaveJS Lint and Compile
• GitHub Check: Trace nox tests (3, 13, pandas-test)
• GitHub Check: Trace nox tests (3, 13, vertexai)
• GitHub Check: Trace nox tests (3, 13, openai)
• GitHub Check: Trace nox tests (3, 13, mistral1)
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• GitHub Check: Trace nox tests (3, 13, llamaindex)
• GitHub Check: Trace nox tests (3, 13, instructor)
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• GitHub Check: Trace nox tests (3, 10, pandas-test)
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• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
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• GitHub Check: Legacy (Query Service) Python unit tests (1)
• GitHub Check: WeaveJS Lint and Compile
• GitHub Check: Trace nox tests (3, 13, pandas-test)
• GitHub Check: Trace nox tests (3, 13, vertexai)
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• GitHub Check: Trace nox tests (3, 12, pandas-test)
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• GitHub Check: Trace nox tests (3, 10, scorers)
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• GitHub Check: Trace nox tests (3, 10, llamaindex)
• GitHub Check: Trace nox tests (3, 10, litellm)
• GitHub Check: Trace nox tests (3, 10, langchain)
• GitHub Check: Trace nox tests (3, 10, google_genai)
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• GitHub Check: Trace nox tests (3, 10, huggingface)
• GitHub Check: Trace nox tests (3, 10, dspy)
• GitHub Check: Trace nox tests (3, 10, trace_server)
• GitHub Check: Trace nox tests (3, 10, trace)
• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
• GitHub Check: Trace nox tests (3, 9, vertexai)
• GitHub Check: Trace nox tests (3, 9, openai)
• GitHub Check: Trace nox tests (3, 9, notdiamond)
• GitHub Check: Trace nox tests (3, 9, mistral1)
• GitHub Check: Legacy (Query Service) Python unit tests (1)
• GitHub Check: WeaveJS Lint and Compile
• GitHub Check: Trace nox tests (3, 13, pandas-test)
• GitHub Check: Trace nox tests (3, 13, vertexai)
• GitHub Check: Trace nox tests (3, 13, openai)
• GitHub Check: Trace nox tests (3, 13, mistral1)
• GitHub Check: Trace nox tests (3, 13, mistral0)
• GitHub Check: Trace nox tests (3, 13, llamaindex)
• GitHub Check: Trace nox tests (3, 13, instructor)
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• GitHub Check: Trace nox tests (3, 13, huggingface)
• GitHub Check: Trace nox tests (3, 13, groq)
• GitHub Check: Trace nox tests (3, 13, cerebras)
• GitHub Check: Trace nox tests (3, 13, trace_server)
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• GitHub Check: Trace nox tests (3, 12, pandas-test)
• GitHub Check: Trace nox tests (3, 12, scorers)
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• GitHub Check: Trace nox tests (3, 12, notdiamond)
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• GitHub Check: Trace nox tests (3, 12, litellm)
• GitHub Check: Trace nox tests (3, 12, langchain)
• GitHub Check: Trace nox tests (3, 12, instructor)
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• GitHub Check: Trace nox tests (3, 12, huggingface)
• GitHub Check: Trace nox tests (3, 12, groq)
• GitHub Check: Trace nox tests (3, 12, dspy)
• GitHub Check: Trace nox tests (3, 12, cohere)
• GitHub Check: Trace nox tests (3, 12, cerebras)
• GitHub Check: Trace nox tests (3, 12, bedrock)
• GitHub Check: Trace nox tests (3, 12, anthropic)
• GitHub Check: Trace nox tests (3, 12, trace_server)
• GitHub Check: Trace nox tests (3, 12, trace)
• GitHub Check: Trace nox tests (3, 11, scorers)
• GitHub Check: Trace nox tests (3, 11, notdiamond)
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• GitHub Check: Trace nox tests (3, 11, llamaindex)
• GitHub Check: Trace nox tests (3, 11, litellm)
• GitHub Check: Trace nox tests (3, 11, langchain)
• GitHub Check: Trace nox tests (3, 11, instructor)
• GitHub Check: Trace nox tests (3, 11, google_genai)
• GitHub Check: Trace nox tests (3, 11, huggingface)
• GitHub Check: Trace nox tests (3, 11, groq)
• GitHub Check: Trace nox tests (3, 11, dspy)
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• GitHub Check: Trace nox tests (3, 11, trace_server)
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• GitHub Check: Trace nox tests (3, 10, scorers)
• GitHub Check: Trace nox tests (3, 10, notdiamond)
• GitHub Check: Trace nox tests (3, 10, mistral1)
• GitHub Check: Trace nox tests (3, 10, llamaindex)
• GitHub Check: Trace nox tests (3, 10, litellm)
• GitHub Check: Trace nox tests (3, 10, langchain)
• GitHub Check: Trace nox tests (3, 10, google_genai)
• GitHub Check: Trace nox tests (3, 10, google_ai_studio)
• GitHub Check: Trace nox tests (3, 10, huggingface)
• GitHub Check: Trace nox tests (3, 10, dspy)
• GitHub Check: Trace nox tests (3, 10, trace_server)
• GitHub Check: Trace nox tests (3, 10, trace)
• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
• GitHub Check: Trace nox tests (3, 9, vertexai)
• GitHub Check: Trace nox tests (3, 9, openai)
• GitHub Check: Trace nox tests (3, 9, notdiamond)
• GitHub Check: Trace nox tests (3, 9, mistral1)
• GitHub Check: notify-wandb-core
• GitHub Check: Legacy (Query Service) Python unit tests (1)
• GitHub Check: WeaveJS Lint and Compile
• GitHub Check: Trace nox tests (3, 13, pandas-test)
• GitHub Check: Trace nox tests (3, 13, vertexai)
• GitHub Check: Trace nox tests (3, 13, openai)
• GitHub Check: Trace nox tests (3, 13, mistral1)
• GitHub Check: Trace nox tests (3, 13, mistral0)
• GitHub Check: Trace nox tests (3, 13, llamaindex)
• GitHub Check: Trace nox tests (3, 13, instructor)
• GitHub Check: Trace nox tests (3, 13, google_genai)
• GitHub Check: Trace nox tests (3, 13, huggingface)
• GitHub Check: Trace nox tests (3, 13, groq)
• GitHub Check: Trace nox tests (3, 13, cerebras)
• GitHub Check: Trace nox tests (3, 13, trace_server)
• GitHub Check: Trace nox tests (3, 13, trace)
• GitHub Check: Trace nox tests (3, 12, pandas-test)
• GitHub Check: Trace nox tests (3, 12, scorers)
• GitHub Check: Trace nox tests (3, 12, openai)
• GitHub Check: Trace nox tests (3, 12, notdiamond)
• GitHub Check: Trace nox tests (3, 12, mistral1)
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• GitHub Check: Trace nox tests (3, 12, llamaindex)
• GitHub Check: Trace nox tests (3, 12, litellm)
• GitHub Check: Trace nox tests (3, 12, langchain)
• GitHub Check: Trace nox tests (3, 12, instructor)
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• GitHub Check: Trace nox tests (3, 12, huggingface)
• GitHub Check: Trace nox tests (3, 12, groq)
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• GitHub Check: Trace nox tests (3, 12, cohere)
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• GitHub Check: Trace nox tests (3, 12, bedrock)
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• GitHub Check: Trace nox tests (3, 12, trace_server)
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• GitHub Check: Trace nox tests (3, 11, scorers)
• GitHub Check: Trace nox tests (3, 11, notdiamond)
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• GitHub Check: Trace nox tests (3, 11, langchain)
• GitHub Check: Trace nox tests (3, 11, instructor)
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• GitHub Check: Trace nox tests (3, 11, dspy)
• GitHub Check: Trace nox tests (3, 11, cohere)
• GitHub Check: Trace nox tests (3, 11, cerebras)
• GitHub Check: Trace nox tests (3, 11, bedrock)
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• GitHub Check: Trace nox tests (3, 11, trace_server)
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• GitHub Check: Trace nox tests (3, 10, scorers)
• GitHub Check: Trace nox tests (3, 10, mistral1)
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• GitHub Check: Trace nox tests (3, 10, litellm)
• GitHub Check: Trace nox tests (3, 10, langchain)
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• GitHub Check: Trace nox tests (3, 10, huggingface)
• GitHub Check: Trace nox tests (3, 10, dspy)
• GitHub Check: Trace nox tests (3, 10, trace_server)
• GitHub Check: Trace nox tests (3, 10, trace)
• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
• GitHub Check: Trace nox tests (3, 9, vertexai)
• GitHub Check: Trace nox tests (3, 9, openai)
• GitHub Check: Trace nox tests (3, 9, notdiamond)
• GitHub Check: Trace nox tests (3, 9, mistral1)
• GitHub Check: notify-wandb-core
• GitHub Check: Legacy (Query Service) Python unit tests (1)
• GitHub Check: WeaveJS Lint and Compile
• GitHub Check: Trace nox tests (3, 13, pandas-test)
• GitHub Check: Trace nox tests (3, 13, vertexai)
• GitHub Check: Trace nox tests (3, 13, openai)
• GitHub Check: Trace nox tests (3, 13, mistral1)
• GitHub Check: Trace nox tests (3, 13, mistral0)
• GitHub Check: Trace nox tests (3, 13, llamaindex)
• GitHub Check: Trace nox tests (3, 13, instructor)
• GitHub Check: Trace nox tests (3, 13, google_genai)
• GitHub Check: Trace nox tests (3, 13, huggingface)
• GitHub Check: Trace nox tests (3, 13, groq)
• GitHub Check: Trace nox tests (3, 13, cerebras)
• GitHub Check: Trace nox tests (3, 13, trace_server)
• GitHub Check: Trace nox tests (3, 13, trace)
• GitHub Check: Trace nox tests (3, 12, pandas-test)
• GitHub Check: Trace nox tests (3, 12, scorers)
• GitHub Check: Trace nox tests (3, 12, openai)
• GitHub Check: Trace nox tests (3, 12, notdiamond)
• GitHub Check: Trace nox tests (3, 12, mistral1)
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• GitHub Check: Trace nox tests (3, 12, llamaindex)
• GitHub Check: Trace nox tests (3, 12, litellm)
• GitHub Check: Trace nox tests (3, 12, langchain)
• GitHub Check: Trace nox tests (3, 12, instructor)
• GitHub Check: Trace nox tests (3, 12, google_genai)
• GitHub Check: Trace nox tests (3, 12, huggingface)
• GitHub Check: Trace nox tests (3, 12, groq)
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• GitHub Check: Trace nox tests (3, 11, scorers)
• GitHub Check: Trace nox tests (3, 11, notdiamond)
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• GitHub Check: Trace nox tests (3, 11, langchain)
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• GitHub Check: Trace nox tests (3, 10, scorers)
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• GitHub Check: Trace nox tests (3, 10, huggingface)
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• GitHub Check: Trace nox tests (3, 10, trace_server)
• GitHub Check: Trace nox tests (3, 10, trace)
• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
• GitHub Check: Trace nox tests (3, 9, vertexai)
• GitHub Check: Trace nox tests (3, 9, openai)
• GitHub Check: Trace nox tests (3, 9, notdiamond)
• GitHub Check: Trace nox tests (3, 9, mistral1)
• GitHub Check: Legacy (Query Service) Python unit tests (1)
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• GitHub Check: Trace nox tests (3, 13, pandas-test)
• GitHub Check: Trace nox tests (3, 13, vertexai)
• GitHub Check: Trace nox tests (3, 13, openai)
• GitHub Check: Trace nox tests (3, 13, mistral1)
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• GitHub Check: Trace nox tests (3, 13, cerebras)
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• GitHub Check: Trace nox tests (3, 12, pandas-test)
• GitHub Check: Trace nox tests (3, 12, scorers)
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• GitHub Check: Trace nox tests (3, 12, notdiamond)
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• GitHub Check: Trace nox tests (3, 10, scorers)
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• GitHub Check: Trace nox tests (3, 10, trace)
• GitHub Check: Trace nox tests (3, 9, pandas-test)
• GitHub Check: Trace nox tests (3, 9, scorers)
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• GitHub Check: Trace nox tests (3, 9, notdiamond)
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• GitHub Check: Trace nox tests (3, 13, pandas-test)
• GitHub Check: Trace nox tests (3, 13, vertexai)
• GitHub Check: Trace nox tests (3, 13, openai)
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🔇 Additional comments (1)

weave/integrations/google_genai/gemini_utils.py (1)

56-63: LGTM! Index-out-of-bounds issue has been addressed.

The code now properly handles mismatches in the number of candidates and parts by breaking the loop when indices are out of bounds.

[coderabbitai]

Actionable comments posted: 9

🔭 Outside diff range comments (1)

tests/integrations/google_genai/test_google_genai.py (1)

310-335: 🛠️ Refactor suggestion

Improve async image generation test.

The test uses asyncio.run() and duplicates configuration from the sync test. Consider using pytest-asyncio and reusing the configuration constants.

Apply this diff:

+import pytest

-@pytest.mark.vcr(
+@pytest.mark.asyncio
+@pytest.mark.vcr(
     filter_headers=["authorization", "x-api-key"],
     allowed_hosts=["api.wandb.ai", "localhost", "trace.wandb.ai"],
 )
 @pytest.mark.skip_clickhouse_client
-def test_image_generation_async(client):
+async def test_image_generation_async(client):
     from google import genai
     from google.genai.types import GenerateImagesConfig
 
     google_client = genai.Client(api_key=os.getenv("GOOGLE_GENAI_KEY", "DUMMY_API_KEY"))
-    response = asyncio.run(
-        google_client.aio.models.generate_images(
-            model="imagen-3.0-generate-002",
-            prompt="Fuzzy bunnies in my kitchen",
-            config=GenerateImagesConfig(number_of_images=1),
-        )
+    response = await google_client.aio.models.generate_images(
+        model=IMAGEN_MODEL_VERSION,
+        prompt="Fuzzy bunnies in my kitchen",
+        config=GenerateImagesConfig(number_of_images=DEFAULT_IMAGE_COUNT),
     )
 
-    assert len(response.generated_images) == 1
+    assert len(response.generated_images) == DEFAULT_IMAGE_COUNT
+    # Verify image properties
+    for image in response.generated_images:
+        assert image.data  # Verify image data exists
+        assert isinstance(image.data, bytes)  # Verify it's binary data

♻️ Duplicate comments (2)

tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async.yaml (1)

371-372: ⚠️ Potential issue

Critical: Remove exposed API key from test cassettes.

The test cassette contains a hardcoded API key in the request headers. This is a security risk as test cassettes are typically committed to version control.

Consider these solutions:

1. Replace the API key with a placeholder in the cassettes:

-      x-goog-api-key:
-      - GOOGLE_API_KEY
+      x-goog-api-key:
+      - ${GOOGLE_API_KEY}

2. Configure VCR to filter sensitive data:

import vcr

# Configure VCR to filter out API keys
my_vcr = vcr.VCR(
    filter_headers=['x-goog-api-key'],
    # Alternatively, replace with a placeholder
    before_record_response=lambda response: response.replace(
        'GOOGLE_API_KEY',
        '${GOOGLE_API_KEY}'
    )
)

tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_async.yaml (1)

375-375: ⚠️ Potential issue

Remove API key from test cassette.

The API key is exposed in the VCR.py cassette file. This is a security risk as API keys should never be committed to version control.

Apply this diff to replace the API key with a placeholder:

-      - GOOGLE_API_KEY
+      - <GOOGLE_API_KEY>

🧹 Nitpick comments (8)

tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async.yaml (1)

354-385: Enhance test coverage with response validation.

The test records a simple content generation request but doesn't validate important aspects of the response like:

• Response structure and required fields
• Token counts and usage metrics
• Model version

Consider adding assertions in the test to validate:

def test_content_generation_async():
    response = await client.generate_content_async("What's the capital of France?")
    
    # Validate response structure
    assert response.candidates[0].content.parts[0].text == "The capital of France is Paris."
    assert response.candidates[0].finish_reason == "STOP"
    
    # Validate token usage
    assert response.usage_metadata.prompt_token_count > 0
    assert response.usage_metadata.candidates_token_count > 0
    assert response.usage_metadata.total_token_count == (
        response.usage_metadata.prompt_token_count + 
        response.usage_metadata.candidates_token_count
    )
    
    # Validate model version
    assert response.model_version == "gemini-2.0-flash"

🧰 Tools

🪛 YAMLlint (1.35.1)

[warning] 354-354: wrong indentation: expected 6 but found 4

(indentation)

---

[warning] 357-357: wrong indentation: expected 8 but found 6

(indentation)

---

[warning] 376-376: wrong indentation: expected 6 but found 4

(indentation)

---

[warning] 377-377: wrong indentation: expected 8 but found 6

(indentation)

tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync_stream.yaml (1)

4-415: Fix YAML indentation issues

The file has inconsistent indentation throughout, particularly in the headers and response sections. This should be fixed to improve readability and maintain consistent style.

The indentation should be consistently 2 spaces for each level. For example:

interactions:
- body: ''
  headers:
    accept:
-      - '*/*'
+    - '*/*'
    accept-encoding:
-      - gzip, deflate, zstd
+    - gzip, deflate, zstd

🧰 Tools

🪛 YAMLlint (1.35.1)

[warning] 4-4: wrong indentation: expected 8 but found 6

(indentation)

---

[error] 16-16: syntax error: expected , but found ''

(syntax)

---

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(indentation)

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(indentation)

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(indentation)

---

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tests/integrations/google_genai/test_google_genai.py (3)

16-44: Extract model version to a constant.

The model version "gemini-2.0-flash" is hardcoded. Consider extracting it to a module-level constant to maintain consistency across tests and make updates easier.

Apply this diff:

+# At the top of the file
+GEMINI_MODEL_VERSION = "gemini-2.0-flash"

 def test_content_generation_sync(client):
     from google import genai
 
     google_client = genai.Client(api_key=os.getenv("GOOGLE_GENAI_KEY", "DUMMY_API_KEY"))
     response = google_client.models.generate_content(
-        model="gemini-2.0-flash",
+        model=GEMINI_MODEL_VERSION,
         contents="What's the capital of France?",
     )

---

148-185: Extract chat configuration values to constants.

The system instruction and temperature value are hardcoded. Consider extracting these to module-level constants for better maintainability and reuse across tests.

Apply this diff:

+# At the top of the file
+CHAT_SYSTEM_INSTRUCTION = """
+You are an expert software developer and a helpful coding assistant.
+You are able to generate high-quality code in the Python programming language."""
+CHAT_TEMPERATURE = 0.5

 def test_chat_session_sync(client):
     from google import genai
 
     google_client = genai.Client(api_key=os.getenv("GOOGLE_GENAI_KEY", "DUMMY_API_KEY"))
-    system_instruction = """
-You are an expert software developer and a helpful coding assistant.
-You are able to generate high-quality code in the Python programming language."""
 
     response = google_client.chats.create(
         model="gemini-2.0-flash",
         config=genai.types.GenerateContentConfig(
-            system_instruction=system_instruction,
-            temperature=0.5,
+            system_instruction=CHAT_SYSTEM_INSTRUCTION,
+            temperature=CHAT_TEMPERATURE,
         ),
     ).send_message(

---

228-282: Extract function declaration to a helper.

The function declaration is verbose and could be reused in other tests. Consider extracting it to a helper function.

Apply this diff:

+def create_destination_tool():
+    """Create a tool for getting travel destinations."""
+    get_destination = genai.types.FunctionDeclaration(
+        name="get_destination",
+        description="Get the destination that the user wants to go to",
+        parameters={
+            "type": "OBJECT",
+            "properties": {
+                "destination": {
+                    "type": "STRING",
+                    "description": "Destination that the user wants to go to",
+                },
+            },
+        },
+    )
+    return genai.types.Tool(function_declarations=[get_destination])

 def test_function_calling(client):
     from google import genai
 
     google_client = genai.Client(api_key=os.getenv("GOOGLE_GENAI_KEY", "DUMMY_API_KEY"))
-    get_destination = genai.types.FunctionDeclaration(
-        name="get_destination",
-        description="Get the destination that the user wants to go to",
-        parameters={
-            "type": "OBJECT",
-            "properties": {
-                "destination": {
-                    "type": "STRING",
-                    "description": "Destination that the user wants to go to",
-                },
-            },
-        },
-    )
-
-    destination_tool = genai.types.Tool(
-        function_declarations=[get_destination],
-    )
+    destination_tool = create_destination_tool()

tests/integrations/google_genai/cassettes/test_google_genai/test_function_calling.yaml (1)

1-419: Fix YAML indentation for better readability.

The YAML file has inconsistent indentation throughout. While this doesn't affect functionality, consistent indentation would improve readability and maintainability.

Consider using a YAML formatter to standardize indentation. The general rule is:

• 2 spaces for sequence items (-)
• 2 spaces for mapping items (key: value)
• Consistent indentation within the same level

🧰 Tools

🪛 YAMLlint (1.35.1)

[warning] 4-4: wrong indentation: expected 8 but found 6

(indentation)

---

[error] 16-16: syntax error: expected , but found ''

(syntax)

---

[warning] 17-17: wrong indentation: expected 6 but found 4

(indentation)

---

[warning] 18-18: wrong indentation: expected 8 but found 6

(indentation)

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(indentation)

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(indentation)

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(indentation)

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(indentation)

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(indentation)

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(indentation)

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(indentation)

---

[warning] 416-416: wrong indentation: expected 8 but found 6

(indentation)

tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_sync.yaml (2)

4-15: Consider standardizing header indentation

The YAML file has inconsistent indentation for headers sections. While this doesn't affect functionality, consistent formatting improves readability.

Apply consistent 2-space indentation for header sections:

  headers:
    accept:
-      - '*/*'
+    - '*/*'
    accept-encoding:
-      - gzip, deflate, zstd
+    - gzip, deflate, zstd

Also applies to: 300-349

🧰 Tools

🪛 YAMLlint (1.35.1)

[warning] 4-4: wrong indentation: expected 8 but found 6

(indentation)

---

18-299: Large binary data in test cassette

The response body contains a large binary-encoded string. Consider if this can be truncated or simplified for the test case while still maintaining test coverage.

You could:

1. Use a smaller sample response that still tests the core functionality
2. Use VCR's before_record hooks to truncate large responses while preserving essential parts

🧰 Tools

🪛 YAMLlint (1.35.1)

[warning] 18-18: wrong indentation: expected 8 but found 6

(indentation)

📜 Review details

Configuration used: .coderabbit.yaml
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 660c2e7 and 2d188d3.

📒 Files selected for processing (8)

• tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_async.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_sync.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async_stream.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync_stream.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_function_calling.yaml (1 hunks)
• tests/integrations/google_genai/test_google_genai.py (1 hunks)

🧰 Additional context used

📓 Path-based instructions (2)

`**/*.{yaml,yml,json,tf}`: Check for security best practices...

**/*.{yaml,yml,json,tf}: Check for security best practices.
Verify environment-specific configurations.
Look for hardcoded credentials or sensitive data.
Ensure proper resource limits and requests.
Verify proper versioning of dependencies.
Check for infrastructure best practices.

• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync.yaml
• tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_async.yaml
• tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_sync.yaml
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async.yaml
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async_stream.yaml
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync_stream.yaml
• tests/integrations/google_genai/cassettes/test_google_genai/test_function_calling.yaml

`**/*.py`: Focus on pythonic code patterns. Check for proper...

**/*.py: Focus on pythonic code patterns.
Check for proper exception handling.
Verify type hints usage where applicable.
Look for potential performance improvements.
Don't comment on formatting if black/isort is configured.
Check for proper dependency injection patterns.
Verify proper async handling if applicable.

• tests/integrations/google_genai/test_google_genai.py

🪛 YAMLlint (1.35.1)

tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync.yaml

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tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_async.yaml

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tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async.yaml

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tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async_stream.yaml

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🔇 Additional comments (10)

tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync_stream.yaml (2)

374-375: LGTM: API endpoint and response structure look correct

The test correctly captures:

1. The streaming endpoint for gemini-2.0-flash model
2. SSE response format with proper token counting metadata
3. Chunked streaming response pattern

Also applies to: 377-386

---

312-313: LGTM: Security headers are properly configured

The response includes important security headers:

• Content-Security-Policy with restrictive defaults
• X-Frame-Options set to deny
• Other standard security headers

Also applies to: 340-341

tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync.yaml (2)

368-368: Update SDK Version in Test Cassette.

The request structure is well-formed; however, the version in the user-agent header is outdated. The cassette currently uses google-genai-sdk/1.1.0, but the latest version of the Google Gen AI SDK is now v1.0 (with the package renamed to google-genai).

---

374-374: Update the API Endpoint.

The cassette targets the experimental beta endpoint (v1beta). According to the latest documentation as of February 2025, the stable production API is now on the v1 endpoint.

tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async_stream.yaml (2)

368-368: Update SDK Version in Test Cassette.

The request structure is well-formed; however, the version in the user-agent header is outdated. The cassette currently uses google-genai-sdk/1.1.0, but the latest version of the Google Gen AI SDK is now v1.0 (with the package renamed to google-genai).

---

374-374: Update the API Endpoint.

The cassette targets the experimental beta endpoint (v1beta). According to the latest documentation as of February 2025, the stable production API is now on the v1 endpoint.

tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_async.yaml (1)

1-426: Fix YAML indentation for better readability.

The YAML file has inconsistent indentation throughout. While this doesn't affect functionality, consistent indentation would improve readability and maintainability.

Consider using a YAML formatter to standardize indentation. The general rule is:

• 2 spaces for sequence items (-)
• 2 spaces for mapping items (key: value)
• Consistent indentation within the same level

🧰 Tools

🪛 YAMLlint (1.35.1)

[warning] 4-4: wrong indentation: expected 8 but found 6

(indentation)

---

[error] 16-16: syntax error: expected , but found ''

(syntax)

---

[warning] 17-17: wrong indentation: expected 6 but found 4

(indentation)

---

[warning] 18-18: wrong indentation: expected 8 but found 6

(indentation)

---

[warning] 300-300: wrong indentation: expected 8 but found 6

(indentation)

---

[warning] 351-351: wrong indentation: expected 8 but found 6

(indentation)

---

[warning] 354-354: wrong indentation: expected 6 but found 4

(indentation)

---

[warning] 360-360: wrong indentation: expected 8 but found 6

(indentation)

---

[warning] 379-379: wrong indentation: expected 6 but found 4

(indentation)

---

[warning] 380-380: wrong indentation: expected 8 but found 6

(indentation)

---

[warning] 398-398: wrong indentation: expected 8 but found 6

(indentation)

---

[warning] 423-423: wrong indentation: expected 8 but found 6

(indentation)

tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_sync.yaml (3)

354-378: Validate request payload structure

The request payload structure looks correct for the Google GenAI API, with proper temperature settings and system instructions. The role and content structure follows the API specification.

🧰 Tools

🪛 YAMLlint (1.35.1)

[warning] 354-354: wrong indentation: expected 6 but found 4

(indentation)

---

[warning] 360-360: wrong indentation: expected 8 but found 6

(indentation)

---

379-399: Verify error handling coverage

The test cassette only contains successful responses. Consider adding test cases for error scenarios:

• Invalid API key
• Rate limiting
• Malformed requests

Would you like me to help generate additional test cases for error scenarios?

🧰 Tools

🪛 YAMLlint (1.35.1)

[warning] 379-379: wrong indentation: expected 6 but found 4

(indentation)

---

[warning] 380-380: wrong indentation: expected 8 but found 6

(indentation)

---

313-313:

❓ Verification inconclusive

Review Content Security Policy settings

The Content-Security-Policy header uses a very restrictive configuration with default-src 'none'. While this is good for security, verify that it doesn't block required resources.

---

🌐 Web query:

What are the recommended Content-Security-Policy settings for API endpoints?

💡 Result:

When configuring Content-Security-Policy (CSP) headers for API endpoints**, prioritize security while ensuring compatibility with client interactions**. Below are key recommendations based on industry standards and best practices:

---

1️⃣ Core Directives for API Security

• default-src 'none'
  Start by denying all resource types unless explicitly allowed[4][5].

• connect-src
  Restrict origins allowed to interact with your API:

  Content-Security-Policy: connect-src 'self' https://api.example.com https://trusted-cdn.com;

  • Replace api.example.com with your domain(s)
  • Include third-party services used by clients (e.g., analytics)[6]

---

2️⃣ Enhanced Protection Measures

Directive	Recommended Value	Purpose
frame-ancestors	'none'	Prevents clickjacking
form-action	'self'	Restricts form submission targets
base-uri	'self'	Limits document base URL manipulation

---

3️⃣ Reporting & Monitoring

Use dual reporting mechanisms during rollout:

Content-Security-Policy: 
  default-src 'none';
  connect-src 'self';
  report-uri https://api.example.com/csp-report;
  report-to csp-reporting-api;

Reporting-Endpoints: csp-reporting-api="https://api.example.com/csp-reports"

• report-uri works in older browsers[1][3]
• report-to uses modern Reporting API[3][4]

---

4️⃣ Specialized Scenarios

🔐 Strict CSP for Public-Facing APIs

Content-Security-Policy: 
  default-src 'none';
  connect-src 'self' *.googleapis.com;
  script-src 'nonce-random123' 'strict-dynamic';

• Uses cryptographic nonces for script validation[6]
• strict-dynamic allows trusted scripts to load dependencies[6]

🌐 Cross-Domain Requirements

For CORS-enabled APIs:

Content-Security-Policy: 
  connect-src 'self' https://client-app.com;

Include all authorized client domains explicitly[4][6].

---

5️⃣ Implementation Strategy

1. Start with Report-Only mode:

   Content-Security-Policy-Report-Only: ... 

2. Analyze violation reports before enforcement[3][4]
3. Gradually tighten policies after testing
4. Use meta tags only if header control is unavailable[2][5]

---

🚫 Avoid Common Pitfalls

# ❌ Dangerous configuration
Content-Security-Policy: default-src *; script-src 'unsafe-inline'

Instead:

# ✅ Secure alternative
Content-Security-Policy: 
  default-src 'none';
  script-src 'self';
  object-src 'none';

For complex integrations like Google Maps APIs**, follow platform-specific guidelines requiring *.googleapis.com and *.gstatic.com in directives[6]. Always validate policies using browser developer tools and automated scanners[5].

Citations:

• 1: https://developer.mozilla.org/en-US/docs/Web/HTTP/Headers/Content-Security-Policy
• 2: https://www.nilebits.com/blog/2024/02/content-security-policy-practices/
• 3: https://developer.mozilla.org/en-US/docs/Web/HTTP/CSP
• 4: https://wpvip.com/2024/11/07/content-security-policy-guide/
• 5: https://content-security-policy.com
• 6: https://developers.google.com/maps/documentation/javascript/content-security-policy
• 7: https://community.redwoodjs.com/t/how-to-add-content-security-policy-headers-to-the-web/7241
• 8: https://community.hubspot.com/t5/HubSpot-Ideas/A-guide-to-Content-Security-Policy-CSP-settings/idi-p/314328
• 9: https://developerdocs.instructure.com/services/canvas/resources/content_security_policy_settings

---

Action required: Verify if the current CSP settings cover all required resource accesses
The use of default-src 'none' sets a robust security baseline. However, please ensure that:

• Any necessary API client interactions (e.g., AJAX or WebSocket calls) aren’t inadvertently blocked—consider adding a connect-src directive if outbound connections are required.
• The inclusion of style-src 'unsafe-inline' is intentional and that inline styles don’t introduce additional risks.
• The sandbox directive is appropriate for the intended use case.

Following best practices for API endpoints, it might be beneficial to explicitly specify allowed sources for connections and resources beyond this restrictive baseline.

[coderabbitai]

Actionable comments posted: 1

♻️ Duplicate comments (2)

tests/integrations/google_genai/test_google_genai.py (2)

10-14: 🛠️ Refactor suggestion

Remove unused Recipe class

The Recipe class is defined but not used in any of the test functions. A previous review also noted this issue.

Remove the unused class:

-class Recipe(BaseModel):
-    recipe_name: str
-    recipe_description: str
-    recipe_ingredients: list[str]
-

---

311-322: 🛠️ Refactor suggestion

Use pytest-asyncio instead of asyncio.run()

The test uses asyncio.run() directly instead of the @pytest.mark.asyncio decorator pattern used for other async tests.

Refactor to use a consistent approach with pytest.mark.asyncio:

+@pytest.mark.asyncio
 @pytest.mark.vcr(
     filter_headers=["authorization", "x-api-key", "x-goog-api-key"],
     allowed_hosts=["api.wandb.ai", "localhost", "trace.wandb.ai"],
 )
 @pytest.mark.skip_clickhouse_client
-def test_image_generation_async(client):
+async def test_image_generation_async(client):
     from google import genai
     from google.genai.types import GenerateImagesConfig
 
     google_client = genai.Client(api_key=os.getenv("GOOGLE_GENAI_KEY", "DUMMY_API_KEY"))
-    response = asyncio.run(
-        google_client.aio.models.generate_images(
-            model="imagen-3.0-generate-002",
-            prompt="Fuzzy bunnies in my kitchen",
-            config=GenerateImagesConfig(number_of_images=1),
-        )
-    )
+    response = await google_client.aio.models.generate_images(
+        model="imagen-3.0-generate-002",
+        prompt="Fuzzy bunnies in my kitchen",
+        config=GenerateImagesConfig(number_of_images=1),
+    )

🧹 Nitpick comments (1)

tests/integrations/google_genai/test_google_genai.py (1)

198-208: Extract common test configurations

The system instruction and temperature settings are duplicated between sync and async chat tests.

Extract these common configurations to constants at the module level:

+# At the top of the file
+CHAT_SYSTEM_INSTRUCTION = """
+You are an expert software developer and a helpful coding assistant.
+You are able to generate high-quality code in the Python programming language."""
+CHAT_TEMPERATURE = 0.5

 @pytest.mark.asyncio
 @pytest.mark.vcr(
     filter_headers=["authorization", "x-api-key", "x-goog-api-key"],
     allowed_hosts=["api.wandb.ai", "localhost", "trace.wandb.ai"],
 )
 @pytest.mark.skip_clickhouse_client
 async def test_chat_session_async(client):
     from google import genai
 
     google_client = genai.Client(api_key=os.getenv("GOOGLE_GENAI_KEY", "DUMMY_API_KEY"))
     response = await google_client.aio.chats.create(
         model="gemini-2.0-flash",
         config=genai.types.GenerateContentConfig(
-            system_instruction="""
-You are an expert software developer and a helpful coding assistant.
-You are able to generate high-quality code in the Python programming language.""",
-            temperature=0.5,
+            system_instruction=CHAT_SYSTEM_INSTRUCTION,
+            temperature=CHAT_TEMPERATURE,
         ),
     ).send_message(
         "Write a python function named `is_leap_year` that checks if a year is a leap year."
     )

Also update the sync version at lines 158-167 to use these same constants.

📜 Review details

Configuration used: .coderabbit.yaml
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 2d188d3 and 6d3081f.

📒 Files selected for processing (11)

• pyproject.toml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_async.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_sync.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async_stream.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync_stream.yaml (1 hunks)
• tests/integrations/google_genai/cassettes/test_google_genai/test_function_calling.yaml (1 hunks)
• tests/integrations/google_genai/test_google_genai.py (1 hunks)
• weave/integrations/google_ai_studio/google_ai_studio_sdk.py (5 hunks)
• weave/integrations/google_genai/google_genai_sdk.py (1 hunks)

🚧 Files skipped from review as they are similar to previous changes (9)

• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async_stream.yaml
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync_stream.yaml
• pyproject.toml
• tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_sync.yaml
• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_async.yaml
• tests/integrations/google_genai/cassettes/test_google_genai/test_chat_session_async.yaml
• tests/integrations/google_genai/cassettes/test_google_genai/test_function_calling.yaml
• weave/integrations/google_ai_studio/google_ai_studio_sdk.py
• weave/integrations/google_genai/google_genai_sdk.py

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`**/*.{yaml,yml,json,tf}`: Check for security best practices...

**/*.{yaml,yml,json,tf}: Check for security best practices.
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• tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync.yaml

`**/*.py`: Focus on pythonic code patterns. Check for proper...

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Check for proper exception handling.
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• tests/integrations/google_genai/test_google_genai.py

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🔇 Additional comments (6)

tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync.yaml (2)

373-373: Verify API endpoint version

The test cassette is using the beta endpoint (v1beta). According to a previous review, the stable production API is now on the v1 endpoint. Consider updating to the stable endpoint if not intentionally testing beta features.

What is the current recommended API version for Google's GenAI/Gemini API?

---

89-96: Properly structured binary data response

The response data structure correctly handles binary content with proper encoding, which is important for testing with VCR cassettes.

tests/integrations/google_genai/test_google_genai.py (4)

89-96: Well-implemented error handling for streaming responses

Good implementation of error handling for streaming responses with specific error messages and proper exception handling.

---

287-297: Enhance image generation test coverage

The test only verifies the number of generated images but doesn't check their properties.

Add property verification and extract constants for better maintainability:

+# At the top of the file
+IMAGEN_MODEL_VERSION = "imagen-3.0-generate-002"
+DEFAULT_IMAGE_COUNT = 1

 def test_image_generation_sync(client):
     from google import genai
     from google.genai.types import GenerateImagesConfig
 
     google_client = genai.Client(api_key=os.getenv("GOOGLE_GENAI_KEY", "DUMMY_API_KEY"))
     response = google_client.models.generate_images(
-        model="imagen-3.0-generate-002",
+        model=IMAGEN_MODEL_VERSION,
         prompt="Fuzzy bunnies in my kitchen",
-        config=GenerateImagesConfig(number_of_images=1),
+        config=GenerateImagesConfig(number_of_images=DEFAULT_IMAGE_COUNT),
     )
 
-    assert len(response.generated_images) == 1
+    assert len(response.generated_images) == DEFAULT_IMAGE_COUNT
+    # Verify image properties
+    for image in response.generated_images:
+        assert image.data  # Verify image data exists
+        assert isinstance(image.data, bytes)  # Verify it's binary data

---

24-43: Comprehensive testing of token usage metadata

Excellent implementation of token usage metadata validation. The test checks not only the presence of token counts but also verifies that the total token count equals the sum of candidate and prompt token counts.

---

224-278: Well-structured function calling test

The function calling test is comprehensive, covering proper tool configuration, function declaration, and response validation. It also checks the expected response content (the destination "paris").

[coderabbitai]

💡 Verification agent

🧩 Analysis chain

SDK version validation

The user-agent header shows google-genai-sdk/1.1.0. This appears to be an updated version compared to a previous review that mentioned version 0.8.0, which is good.

---

🌐 Web query:

Is google-genai-sdk version 1.1.0 the latest version?

💡 Result:

No, google-genai-sdk version 1.1.0 is not the latest version as of February 26, 2025[1]. Here's a breakdown:

---

Current Status of Google Gen AI SDK Versions

• Python SDK:

  • The latest stable release is v1.0 (generally available)[3][7], with ongoing updates like gemini-2.0-pro-exp-02-05 for experimental models[2].
  • The legacy google-generativeai package (last updated January 20, 2025)[10] is being phased out in favor of google-genai, which supports all Gemini 2 features[3][7].

• JavaScript SDK:

  • The npm package @google/generative-ai reached v0.22.0 on February 20, 2025[8].

• .NET SDK:

  • The NuGet package Mscc.GenerativeAI.Google reached v2.2.3 on February 13, 2025[6].

---

Key Updates in Newer Versions

• Unified Interface: The new SDK (google-genai) works across both Gemini API and Vertex AI[2][7].
• Enhanced Features:
  • Multimodal input/output (audio/video streaming)[3].
  • Improved tool usage (code execution, function calling)[3].
• Migration Guide: Developers are encouraged to switch from google-generativeai to google-genai for future updates[3].

---

For Python users, install/update with:

pip install -U "google-genai"

Always check PyPI or official changelogs[1][9] for the latest version numbers[10].

Citations:

• 1: https://ai.google.dev/gemini-api/docs/changelog
• 2: https://cloud.google.com/vertex-ai/generative-ai/docs/gemini-v2
• 3: https://ai.google.dev/gemini-api/docs/migrate
• 4: https://cloud.google.com/vertex-ai/generative-ai/docs/sdks/overview
• 5: https://github.com/googleapis/python-genai
• 6: https://nugetprodusnc-northcentralus-01.regional.azure-api.net/packages/Mscc.GenerativeAI.Google/1.1.0
• 7: https://ai.google.dev/gemini-api/docs/sdks
• 8: https://www.npmjs.com/package/@google/generative-ai
• 9: https://cloud.google.com/sdk/docs/release-notes
• 10: https://pypi.org/project/google-generativeai/

---

Action Required: Update SDK Version in Cassette

Although the cassette now records google-genai-sdk/1.1.0 (an improvement over the previous 0.8.0), a recent web check confirms that version 1.1.0 is not the latest release as of February 26, 2025. Please update the cassette (located in tests/integrations/google_genai/cassettes/test_google_genai/test_content_generation_sync.yaml, lines 369–370) to reflect the current SDK version so that our tests and documentation remain consistent with the latest SDK updates.