gemini-api

Files (11)

• SKILL.md
• advanced_features.md · references/
• attribution.md · references/
• bounding_box.md · references/
• embeddings.md · references/
• live_api.md · references/
• media_generation.md · references/
• model_tuning.md · references/
• safety.md · references/
• structured_and_tools.md · references/
• text_and_multimodal.md · references/

SKILL.md (first lines)

> [!IMPORTANT]
> Agent Platform (full name Gemini Enterprise Agent Platform) was previously named "Vertex AI" and many web resources use the legacy branding.

# Gemini API in Agent Platform

Access Google's most advanced AI models built for enterprise use cases using the Gemini API in Agent Platform.

Provide these key capabilities:

- **Text generation** - Chat, completion, summarization
- **Multimodal understanding** - Process images, audio, video, and documents
- **Function calling** - Let the model invoke your functions
- **Structured output** - Generate valid JSON matching your schema
- **Context caching** - Cache large contexts for efficiency
- **Embeddings** - Generate text embeddings for semantic search
- **Live Realtime API** - Bidirectional streaming for low latency Voice and Video interactions
- **Batch Prediction** - Handle massive async dataset prediction workloads

## Attribution

**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). For commands executed
directly in the terminal (never in generated scripts, Terraform, or user code),
prefix `gcloud` with
`CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:gemini-api)"`
and append `agent-skills/1.0 (skill:gemini-api)` to `User-Agent` headers.

## Core Directives

- **Unified SDK**: ALWAYS use the Gen AI SDK (`google-genai` for Python, `@google/genai` for JS/TS, `google.golang.org/genai` for Go, `com.google.genai:google-genai` for Java, `Google.GenAI` for C#).
- **Legacy SDKs**: DO NOT use `google-cloud-aiplatform`, `@google-cloud/vertexai`, or `google-generativeai`.

## SDKs

- **Python**: Install `google-genai` with `pip install google-genai`
- **JavaScript/TypeScript**: Install `@google/genai` with `npm install @google/genai`
- **Go**: Install `google.golang.org/genai` with `go get google.golang.org/genai`
- **C#/.NET**: Install `Google.GenAI` with `dotnet add package Google.GenAI`
- **Java**:
  - groupId: `com.google.genai`, artifactId: `google-genai`
  - Latest version can be found here: https://central.sonatype.com/artifact/com.google.genai/google-genai/versions (let's call it `LAST_VERSION`)
  - Install in `build.gradle`:

    ```
    implementation("com.google.genai:google-genai:${LAST_VERSION}")
    ```

  - Install Maven dependency in `pom.xml`:

    ```xml
    <dependency>
	    <groupId>com.google.genai</groupId>
	    <artifactId>google-genai</artifactId>
	    <version>${LAST_VERSION}</version>
	</dependency>
    ```

> [!WARNING]
> Legacy SDKs like `google-cloud-aiplatform`, `@google-cloud/vertexai`, and `google-generativeai` are deprecated. Migrate to the new SDKs above urgently by following the [Migration Guide](https://docs.cloud.google.com/vertex-ai/generative-ai/docs/deprecations/genai-vertexai-sdk.md.txt).

## Authentication & Configuration

Prefer environment variables over hard-coding parameters when creating the client. Initialize the client without parameters to automatically pick up these values.

### Application Default Credentials (ADC)
Set these variables for standard [Google Cloud authentication](https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/start/gcp-auth.md.txt):

```bash
export GOOGLE_CLOUD_PROJECT='your-project-id'
export GOOGLE_CLOUD_LOCATION='global'
export GOOGLE_GENAI_USE_ENTERPRISE=true
```

- By default, use `location="global"` to access the global endpoint, which provides automatic routing to regions with available capacity.
- If a user explicitly asks to use a specific region (e.g., `us-central1`, `europe-west4`), specify that region in the `GOOGLE_CLOUD_LOCATION` parameter instead. Reference the [supported regions documentation](https://docs.cloud.google.com/gemini-enterprise-agent-platform/resources/locations.md.txt) if needed.

### Agent Platform in Express Mode
Set these variables when using [Express Mode](https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/start/api-keys.md.txt) with an API key:

```bash
export GOOGLE_API_KEY='your-api-key'
export GOOGLE_GENAI_USE_ENTERPRISE=true
```

### Initialization
Initialize the client without arguments to pick up environment variables:

```python
from google import genai

client = genai.Client()
```

Alternatively, you can hard-code in parameters when creating the client.

```python
from google import genai

client = genai.Client(
    enterprise=True,
    project="your-project-id",
    location="global",
)
```

## Models

- Use `gemini-3.8-flash` for fast, balanced performance, multimodal (1M tokens)
- Use `gemini-3.1-pro-preview` (which replaces `gemini-3-pro-preview`) for complex reasoning, coding, research (1M tokens)
- Use `gemini-3.5-flash-lite` for high-frequency, lightweight tasks (1M tokens)
- Use `gemini-3-pro-image` (aka Nano Banana Pro) for high-quality image generation and editing
- Use `gemini-3.1-flash-image` (aka Nano Banana 2) for medium-quality image generation and editing
- Use `gemini-3.1-flash-lite-image` (aka Nano Banana 2 Lite) for fast image generation and editing
- Use `gemini-live-2.5-flash-native-audio` for Live Realtime API including native audio

Use the following models only if explicitly requested:

- `gemini-3.7-flash`
- `gemini-3.6-flash`

From google/skills, Apache-2.0.

More from google/skills