gemini-converse¶
Applies to Docker image version 0.0.34 and above
This Provider allows you to integrate Google’s Gemini models into BRConnector using the Google Generative AI API.
Configuration¶
| Key | Type | Required | Default | Description |
|---|---|---|---|---|
| apiKey | string | Yes | Google AI API key (starts with “AI…”) | |
| model | string | No | gemini-pro | Gemini model name (e.g., gemini-2.5-flash, gemini-2.5-pro, gemini-2.0-flash) |
Supported Models¶
- gemini-2.5-pro: Most advanced multimodal model, excellent for coding and complex reasoning
- gemini-2.5-flash: Mixed reasoning model with 1M token context window and thinking budget
- gemini-2.0-flash: Most balanced multimodal model optimized for the agentic era
- gemini-pro: Standard Gemini model (default)
Pricing¶
| Model | Input Tokens | Output Tokens |
|---|---|---|
| gemini-2.5-pro | $1.25-2.50/M tokens | $10.00-15.00/M tokens |
| gemini-2.5-flash | $0.30-1.00/M tokens | $2.50/M tokens |
| gemini-2.0-flash | $0.10-0.70/M tokens | $0.40/M tokens |
Pricing varies based on input modality (text/image/video vs audio) and prompt length
Features¶
- ✅ Text generation
- ✅ Streaming responses
- ✅ OpenAI-compatible response format
- ✅ Multi-modal support (text, images, video, audio)
- ✅ Long context windows (up to 1M tokens)
- ✅ Automatic token estimation
Getting Started¶
- Get your Google AI API key from Google AI Studio
- Configure the provider with your API key
- Choose your preferred Gemini model
- Start making requests through the BRConnector API
Notes¶
- The provider automatically converts OpenAI-style messages to Gemini format
- Supports both streaming and non-streaming responses
- Token counting is estimated (approximately 4 characters per token)
- Images and other media are automatically handled according to Gemini’s token counting rules