# Code Example Categories

## Code Example Categories

### 1. ADK (Agent Development Kit) Samples

**Source**: google/adk-samples

**Examples Provided**:

- Basic agent creation with Code Execution Sandbox
- Memory Bank configuration for stateful agents
- A2A protocol implementation for inter-agent communication
- Multi-tool agent configuration
- VPC Service Controls integration
- IAM least privilege patterns

**Sample Pattern**:

```python
from google.cloud.aiplatform import agent_builder

def create_adk_agent(project_id: str, location: str):
    agent_config = {
        "display_name": "production-agent",
        "model": "gemini-2.5-flash",
        "code_execution_config": {
            "enabled": True,
            "state_ttl_days": 14
        },
        "memory_bank_config": {
            "enabled": True
        }
    }
    # Implementation from google/adk-samples
```

### 2. Agent Starter Pack

**Source**: GoogleCloudPlatform/agent-starter-pack

**Examples Provided**:

- Production agent with monitoring and observability
- Auto-scaling configuration
- Security best practices (Model Armor, VPC-SC)
- Cloud Monitoring dashboards
- Alerting policies
- Error tracking setup

**Sample Pattern**:

```python
def production_agent_with_observability(project_id: str):
    agent = aiplatform.Agent.create(
        config={
            "auto_scaling": {
                "min_instances": 2,
                "max_instances": 10
            },
            "vpc_service_controls": {"enabled": True},
            "model_armor": {"enabled": True}
        }
    )
    # Full implementation from agent-starter-pack
```

### 3. Firebase Genkit

**Source**: genkit-ai/genkit

**Examples Provided**:

- RAG flows with vector search
- Multi-step workflows
- Tool calling integration
- Prompt templates
- Evaluation frameworks
- Deployment patterns (Cloud Run, Functions)

**Sample Pattern**:

```typescript
import { genkit, z } from 'genkit';
import { googleAI, gemini15ProLatest } from '@genkit-ai/googleai';

const ragFlow = ai.defineFlow({
  name: 'ragSearchFlow',
  inputSchema: z.object({ query: z.string() }),
  outputSchema: z.object({ answer: z.string() })
}, async (input) => {
  // Implementation from genkit-ai/genkit examples
});
```

### 4. Vertex AI Samples

**Source**: GoogleCloudPlatform/vertex-ai-samples

**Examples Provided**:

- Custom model training with Gemini
- Batch prediction jobs
- Hyperparameter tuning
- Model evaluation
- Endpoint deployment with auto-scaling
- A/B testing patterns

**Sample Pattern**:

```python
def fine_tune_gemini_model(project_id: str, training_data_uri: str):
    job = aiplatform.CustomTrainingJob(
        training_config={
            "base_model": "gemini-2.5-flash",
            "learning_rate": 0.001,
            "adapter_size": 8  # LoRA
        }
    )
    # Full implementation from vertex-ai-samples
```

### 5. Generative AI Examples

**Source**: GoogleCloudPlatform/generative-ai

**Examples Provided**:

- Gemini multimodal analysis (text, images, video)
- Function calling with live APIs
- Structured output generation
- Grounding with Google Search
- Safety filters and content moderation
- Token counting and cost optimization

**Sample Pattern**:

```python
from vertexai.generative_models import GenerativeModel, Part

def analyze_multimodal_content(video_uri: str, question: str):
    model = GenerativeModel("gemini-2.5-pro")
    video_part = Part.from_uri(video_uri, mime_type="video/mp4")
    response = model.generate_content([video_part, question])
    # Implementation from generative-ai examples
```

### 6. AgentSmithy

**Source**: GoogleCloudPlatform/agentsmithy

**Examples Provided**:

- Multi-agent orchestration
- Supervisory agent patterns
- Agent-to-agent communication
- Workflow coordination (sequential, parallel, conditional)
- Task delegation strategies
- Error handling and retry logic

**Sample Pattern**:

```python
from agentsmithy import Agent, Orchestrator, Task

def create_multi_agent_system(project_id: str):
    orchestrator = Orchestrator(
        agents=[research_agent, analysis_agent, writer_agent],
        strategy="sequential"
    )
    # Full implementation from agentsmithy
```