# How can I call an Amazon Bedrock-provided model (for example, Jurassic-2 or Anthropic's Claude) via the AWS SDK or AWS CLI?

Source: https://zilliz.com/ai-faq/how-can-i-call-an-amazon-bedrockprovided-model-for-example-jurassic2-or-anthropics-claude-via-the-aws-sdk-or-aws-cli
Author: zilliz

To call an Amazon Bedrock-provided model like Jurassic-2 or Claude using the AWS SDK or CLI, you’ll use the `InvokeModel` API operation. This requires configuring the model ID, specifying input parameters, and handling the response format. Here’s how to do it step-by-step.

**1. Prerequisites and Setup** 
First, ensure you have AWS credentials configured (via IAM roles, CLI configuration, or environment variables) with permissions to call Bedrock’s `InvokeModel` API. Install the AWS SDK for your language (e.g., Python’s `boto3`) or the AWS CLI. For some models, you may need to request access via the AWS Management Console before using them. For example, Anthropic’s Claude requires explicit enablement in the Bedrock console.

**2. Using the AWS SDK (Python Example)** 
Here’s a Python example using `boto3` to call Anthropic’s Claude model: 
```python
import boto3
import json

client = boto3.client('bedrock-runtime', region_name='us-east-1')

response = client.invoke_model(
 modelId='anthropic.claude-v2',
 contentType='application/json',
 body=json.dumps({
 "prompt": "Explain quantum computing in one sentence.",
 "max_tokens_to_sample": 200,
 "temperature": 0.5
 })
)

result = json.loads(response['body'].read())
print(result['completion'])
``` 
Replace `modelId` with the target model (e.g., `ai21.j2-mid-v1` for Jurassic-2). The `body` structure varies by model: Jurassic-2 uses `prompt` and `maxTokens`, while Claude uses `prompt` and `max_tokens_to_sample`.

**3. Using the AWS CLI** 
For the CLI, use the `aws bedrock-runtime invoke-model` command: 
```bash
aws bedrock-runtime invoke-model \
 --model-id anthropic.claude-v2 \
 --body '{"prompt":"Explain quantum computing in one sentence.", "max_tokens_to_sample":200}' \
 --cli-binary-format raw-in-base64-out \
 --region us-east-1 \
 output.json

cat output.json
``` 
The response is saved to `output.json`. For Jurassic-2, adjust the `model-id` and body parameters: 
```json
{"prompt":"Your text", "maxTokens":200, "temperature":0.5}
``` 

**Key Notes** 
- Model IDs are specific (e.g., `anthropic.claude-v2`, `ai21.j2-ultra-v1`). Check AWS documentation for exact IDs. 
- Input formats differ slightly between models. Always refer to the model provider’s API documentation for parameter names and structure. 
- Responses are returned as a streamed payload in the `body` field, which you’ll need to parse.