bedrock

# AWS Bedrock

Amazon Bedrock provides access to foundation models (FMs) from AI companies through a unified API. Build generative AI applications with text generation, embeddings, and image generation capabilities.

## Table of Contents

- [Core Concepts](#core-concepts)
- [Common Patterns](#common-patterns)
- [CLI Reference](#cli-reference)
- [Best Practices](#best-practices)
- [Troubleshooting](#troubleshooting)
- [References](#references)

## Core Concepts

### Foundation Models

Pre-trained models available through Bedrock:
- **Claude** (Anthropic): Text generation, analysis, coding
- **Titan** (Amazon): Text, embeddings, image generation
- **Llama** (Meta): Open-weight text generation
- **Mistral**: Efficient text generation
- **Stable Diffusion** (Stability AI): Image generation

### Model Access

Models must be enabled in your account before use:
- Request access in Bedrock console
- Some models require acceptance of EULAs
- Access is region-specific

### Inference Types

| Type | Use Case | Pricing |
|------|----------|---------|
| **On-Demand** | Variable workloads | Per token |
| **Provisioned Throughput** | Consistent high-volume | Hourly commitment |
| **Batch Inference** | Async large-scale | Discounted per token |

## Common Patterns

### Invoke Model (Text Generation)

**AWS CLI:**

```bash
# Invoke Claude
aws bedrock-runtime invoke-model \
  --model-id anthropic.claude-3-sonnet-20240229-v1:0 \
  --content-type application/json \
  --accept application/json \
  --body '{
    "anthropic_version": "bedrock-2023-05-31",
    "max_tokens": 1024,
    "messages": [
      {"role": "user", "content": "Explain AWS Lambda in 3 sentences."}
    ]
  }' \
  response.json

cat response.json | jq -r '.content[0].text'
```

**boto3:**

```python
import boto3
import json

bedrock = boto3.client('bedrock-runtime')

def invoke_claude(prompt, max_tokens=1024):
    response = bedrock.invoke_model(
        modelId='anthropic.claude-3-sonnet-20240229-v1:0',
        contentT