google-vertex/models

15 notes, read out of this brain and free to use. Each one was extracted from a source and is re-checked against its exam.

Google Vertex language model creation

Create language models by calling the provider instance with a model id, e.g. `googleVertex('gemini-2.5-pro')`. For custom models, the model name must start with `projects/`.

Google Vertex Gemini model forward compatibility

Vertex Gemini models share forward-compatible model classification. Unrecognized `gemini-*` IDs and `-latest` aliases use the newest supported Gemini request behavior, while known legacy IDs keep their generation-specific tool, reasoning, function-response, and thought-signature handling. The selected Vertex model must still support each requested feature.

Google Vertex tuned models usage

Tuned models are addressed by their endpoint id with the `endpoints/` prefix. Pass endpoint resource like `googleVertex('endpoints/YOUR_ENDPOINT_ID')` and the provider will route the request to the deployed endpoint instead of the base model path. Tuned models require standard Google Cloud credentials and project/location of the deployed endpoint. Express Mode API keys are not supported for tuned models.

Google Vertex language model capabilities

Language model capabilities: gemini-3.6-flash (Image Input: yes, Object Generation: yes, Tool Usage: yes, Tool Streaming: yes), gemini-3.5-flash (Image Input: yes, Object Generation: yes, Tool Usage: yes, Tool Streaming: yes), gemini-3.5-flash-lite (Image Input: yes, Object Generation: yes, Tool Usage: yes, Tool Streaming: yes), gemini-3-pro-preview (Image Input: yes, Object Generation: yes, Tool Usage: yes, Tool Streaming: yes), gemini-2.5-pro (Image Input: yes, Object Generation: yes, Tool Usage: yes, Tool Streaming: yes), gemini-2.5-flash (Image Input: yes, Object Generation: yes, Tool Usage: yes, Tool Streaming: yes), gemini-2.0-flash-001 (Image Input: yes, Object Generation: yes, Tool Usage: yes, Tool Streaming: yes).

Google Vertex embedding model creation

Create embedding models using `.embeddingModel()` factory method: `googleVertex.embeddingModel('text-embedding-005')`.

Google Vertex embedding model capabilities

Embedding model capabilities: text-embedding-005 (Max Values Per Call: 2048, Parallel Calls: yes, Multimodal: no), gemini-embedding-2 (Max Values Per Call: 2048, Parallel Calls: yes, Multimodal: yes), gemini-embedding-2-preview (Max Values Per Call: 2048, Parallel Calls: yes, Multimodal: yes).

Google Vertex image model creation

Create image models using `.image()` factory method: `googleVertex.image('imagen-4.0-generate-001')`. The provider supports both Imagen and Gemini image models.

Google Vertex Imagen model capabilities

Imagen model capabilities: imagen-3.0-generate-001 (Aspect Ratios: 1:1, 3:4, 4:3, 9:16, 16:9), imagen-3.0-generate-002 (Aspect Ratios: 1:1, 3:4, 4:3, 9:16, 16:9), imagen-3.0-fast-generate-001 (Aspect Ratios: 1:1, 3:4, 4:3, 9:16, 16:9), imagen-4.0-generate-001 (Aspect Ratios: 1:1, 3:4, 4:3, 9:16, 16:9), imagen-4.0-fast-generate-001 (Aspect Ratios: 1:1, 3:4, 4:3, 9:16, 16:9), imagen-4.0-ultra-generate-001 (Aspect Ratios: 1:1, 3:4, 4:3, 9:16, 16:9).

Google Vertex Gemini image model support

Gemini image models (e.g. `gemini-2.5-flash-image`) are multimodal output language models. Use `googleVertex.image('gemini-2.5-flash-image')` for simpler image generation experience. Internally calls language model API with responseModalities: ['IMAGE'].

Google Vertex video model creation

Create video models using `.video()` factory method: `googleVertex.video('veo-3.1-generate-001')`. Models are Veo video generation models that call Vertex AI API.

Google Vertex video model capabilities

Video model capabilities: veo-3.1-generate-001 (Audio Support: yes), veo-3.1-fast-generate-001 (Audio Support: yes), veo-3.0-generate-001 (Audio Support: yes), veo-3.0-fast-generate-001 (Audio Support: yes), veo-2.0-generate-001 (Audio Support: no).

Google Vertex speech model creation

Create speech models using `.speech()` factory method: `googleVertex.speech('gemini-2.5-flash-tts')`. Models call Vertex AI API for Gemini text-to-speech.

Google Vertex transcription model creation

Create transcription models using `.transcription()` factory method: `googleVertex.transcription('chirp_2')`. Models call Cloud Speech-to-Text API. Supports Chirp models chirp_2 and chirp_3, plus telephony for phone-call audio.

Google Vertex transcription model capabilities

Transcription model capabilities: chirp_2 (Word timestamps: available, Language detection: auto detection with ['auto']), chirp_3 (Word timestamps: available with potential quality tradeoff, Language detection: auto detection with ['auto']), telephony (Word timestamps: available, Language detection: explicit supported language codes with alternative language detection support).

Google Vertex Gemini image model capabilities

Gemini image model capabilities: **gemini-3.1-flash-image-preview** - Image Generation: yes - Image Editing: yes - Aspect Ratios: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9 **gemini-3-pro-image-preview** - Image Generation: yes - Image Editing: yes - Image Editing Reference Limits: up to 14 reference images (6 objects, 5 humans) - Resolution Options: 1K, 2K, 4K (via providerOptions.google.imageConfig.imageSize) - Google Search Grounding: supported - Aspect Ratios: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9 **gemini-2.5-flash-image** - Image Generation: yes - Image Editing: yes - Aspect Ratios: 1:1, 2:3, 3:2, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9

Give your agent this brain