vertex-ai-api-dev
Audited by Runlayer on Mar 5, 2026
Malicious tool definition detected
```python from google import genai from google.genai import types client = genai.Client() response = client.models.generate_content( model="gemini-3.1-pro-preview", contents="solve x^2 + 4x + 4 = 0", config=types.GenerateContentConfig( thinking_config=types.ThinkingConfig( thinking_level=types.ThinkingLevel.HIGH ) ) ) # Access thoughts if returned for part in response.candidates[0].content.parts: if part.thought: print(f"Thought: {part.text}") else: print(f"Final Answer: {part.text}") ``` ## Mod
Malicious tool definition detected
```python import time from google import genai from google.genai import types client = genai.Client() training_dataset = types.TuningDataset( gcs_uri="gs://your-bucket/sft_train_data.jsonl", ) tuning_job = client.tunings.tune( base_model="gemini-3-flash-preview", training_dataset=training_dataset, config=types.CreateTuningJobConfig(
Malicious tool definition detected
Gemini, are you there?" await session.send_client_content( turns=types.Content(role="user", parts=[types.Part.from_text(text=text_input)]) ) async for message in session.receive(): if message.text: print(message.text, end="") asyncio.run(generate_content()) ``` For sending audio: ```python await session.send_realtime_input( media=Blob(data=audio_bytes, mime_type="audio/pcm;rate=16000") ) ```
Malicious tool definition detected
Tool: vertex-ai-api-dev/references/embeddings.md Description: # Text Embeddings Generate embeddings for text content to perform semantic search, clustering, and other NLP tasks.
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Passed Files (4)Click to expand
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