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¶ Google (Gemini) MCP Provider
The ObjAiMcpGoogle class provides an interface to Google's Gemini family of language models. It is part of the Multi-Cloud Provider (MCP) framework and inherits from the ObjAiMcpBase class.
¶ Initialization
The class is initialized with the following parameters:
def __init__(self, db=0, api_key: str = "", model: str = "gemini-pro"):
db: The database connection object.api_key: Your Google AI API key.model: The specific Gemini model to use (e.g., "gemini-pro", "gemini-pro-vision").
¶ Methods
¶ prompt
Sends a prompt to the specified Gemini model and returns the response.
def prompt(self, role: str = "", prompt: str = "", image_base64: str = "") -> str:
role: The system role for the AI (e.g., "You are a helpful assistant.").prompt: The user's prompt or question.image_base64: A base64-encoded image for multimodal prompts.
¶ Usage
To use the Google provider, you must first configure your API key in the config.yaml file under the ai_mcp_google section.
ai_mcp_google:
api_key: YOUR_GOOGLE_API_KEY
You can then instantiate and use the ObjAI class with the appropriate model string:
ai_obj = ObjAI(db=0, model="mcp:google:gemini-pro")
response = ai_obj.prompt("You are a helpful assistant.", "Who wrote the play Romeo and Juliet?")
print(response)