There are more AWS SDK examples available in the [AWS Doc SDK Examples](https://github.com/awsdocs/aws-doc-sdk-examples) GitHub repo.

# Amazon Titan Text for Amazon Bedrock Runtime
<a name="bedrock-runtime_code_examples_amazon_titan_text"></a>

The following code examples show how to use Amazon Bedrock Runtime with AWS SDKs.

**Topics**
+ [InvokeModel](bedrock-runtime_example_bedrock-runtime_InvokeModel_TitanText_section.md)

# Invoke Amazon Titan Text models on Amazon Bedrock using the Invoke Model API
<a name="bedrock-runtime_example_bedrock-runtime_InvokeModel_TitanText_section"></a>

The following code example shows how to send a text message to Amazon Titan Text, using the Invoke Model API.

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#### [ Python ]

**SDK for Python (Boto3)**  
 There's more on GitHub. Find the complete example and learn how to set up and run in the [AWS Code Examples Repository](https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/python/example_code/bedrock-runtime#code-examples). 
Use the Invoke Model API to send a text message.  

```
# Use the native inference API to send a text message to Amazon Titan Text.

import boto3
import json

from botocore.exceptions import ClientError

# Create a Bedrock Runtime client in the AWS Region of your choice.
client = boto3.client("bedrock-runtime", region_name="us-east-1")

# Set the model ID, e.g., Titan Text Premier.
model_id = "amazon.titan-text-premier-v1:0"

# Define the prompt for the model.
prompt = "Describe the purpose of a 'hello world' program in one line."

# Format the request payload using the model's native structure.
native_request = {
    "inputText": prompt,
    "textGenerationConfig": {
        "maxTokenCount": 512,
        "temperature": 0.5,
    },
}

# Convert the native request to JSON.
request = json.dumps(native_request)

try:
    # Invoke the model with the request.
    response = client.invoke_model(modelId=model_id, body=request)

except (ClientError, Exception) as e:
    print(f"ERROR: Can't invoke '{model_id}'. Reason: {e}")
    exit(1)

# Decode the response body.
model_response = json.loads(response["body"].read())

# Extract and print the response text.
response_text = model_response["results"][0]["outputText"]
print(response_text)
```
+  For API details, see [InvokeModel](https://docs.aws.amazon.com/goto/boto3/bedrock-runtime-2023-09-30/InvokeModel) in *AWS SDK for Python (Boto3) API Reference*. 

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