Gemini Provider

The Gemini provider implements support for Google's Gemini models through the Google Generative AI API.

Supported Models

from aicore.models_metadata import METADATA

# List available Gemini models
gemini_models = [model for model in METADATA if model.startswith("gemini-")]
print(gemini_models)

Key Features

• Supports both text and multimodal inputs
• Free tier available for testing
• Optimized token counting implementation
• Streaming support
• Usage tracking and cost estimation
• Safety settings configuration

Configuration

Python Configuration

from aicore.llm.config import LlmConfig

config = LlmConfig(
    provider="gemini",
    api_key="your_api_key",
    model="gemini-2.5-pro-preview-03-25",
    temperature=0.7
)

YAML Configuration

provider: gemini
api_key: "your_api_key"
model: "gemini-1.5-pro"
temperature: 0.7

Usage Examples

Basic Completion

from aicore.llm import Llm

llm = Llm(config=config)
response = llm.complete("Explain quantum computing in simple terms")
print(response)

Multimodal Input

from aicore.llm.models import MultimodalContent

content = MultimodalContent(
    text="What's in this image?",
    images=["path/to/image.jpg"]
)

response = llm.complete(content)

Token Counting

usage = llm.get_last_usage()
print(f"Input tokens: {usage.input_tokens}")
print(f"Output tokens: {usage.output_tokens}")

Troubleshooting

• Authentication Errors: Ensure your API key is valid and has access to the Gemini API
• Model Not Found: Verify the model name matches exactly what's in METADATA
• Safety Blocks: Adjust safety settings if getting blocked for harmless content