# Amazon Bedrock Runtime examples using SDK for SAP ABAP Amazon Bedrock Runtime The following code examples show you how to perform actions and implement common scenarios by using the AWS SDK for SAP ABAP with Amazon Bedrock Runtime. Each example includes a link to the complete source code, where you can find instructions on how to set up and run the code in context. **Topics** + [Anthropic Claude](#anthropic_claude) + [Stable Diffusion](#stable_diffusion) ## Anthropic Claude Anthropic Claude ### InvokeModel InvokeModel The following code example shows how to send a text message to Anthropic Claude, using the Invoke Model API. **SDK for SAP ABAP** 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/sap-abap/services/bdr#code-examples). Invoke the Anthropic Claude 2 foundation model to generate text. This example uses features of /US2/CL\$1JSON which might not be available on some NetWeaver versions. ``` "Claude V2 Input Parameters should be in a format like this: * { * "prompt":"\n\nHuman:\\nTell me a joke\n\nAssistant:\n", * "max_tokens_to_sample":2048, * "temperature":0.5, * "top_k":250, * "top_p":1.0, * "stop_sequences":[] * } DATA: BEGIN OF ls_input, prompt TYPE string, max_tokens_to_sample TYPE /aws1/rt_shape_integer, temperature TYPE /aws1/rt_shape_float, top_k TYPE /aws1/rt_shape_integer, top_p TYPE /aws1/rt_shape_float, stop_sequences TYPE /aws1/rt_stringtab, END OF ls_input. "Leave ls_input-stop_sequences empty. ls_input-prompt = |\n\nHuman:\\n{ iv_prompt }\n\nAssistant:\n|. ls_input-max_tokens_to_sample = 2048. ls_input-temperature = '0.5'. ls_input-top_k = 250. ls_input-top_p = 1. "Serialize into JSON with /ui2/cl_json -- this assumes SAP_UI is installed. DATA(lv_json) = /ui2/cl_json=>serialize( data = ls_input pretty_name = /ui2/cl_json=>pretty_mode-low_case ). TRY. DATA(lo_response) = lo_bdr->invokemodel( iv_body = /aws1/cl_rt_util=>string_to_xstring( lv_json ) iv_modelid = 'anthropic.claude-v2' iv_accept = 'application/json' iv_contenttype = 'application/json' ). "Claude V2 Response format will be: * { * "completion": "Knock Knock...", * "stop_reason": "stop_sequence" * } DATA: BEGIN OF ls_response, completion TYPE string, stop_reason TYPE string, END OF ls_response. /ui2/cl_json=>deserialize( EXPORTING jsonx = lo_response->get_body( ) pretty_name = /ui2/cl_json=>pretty_mode-camel_case CHANGING data = ls_response ). DATA(lv_answer) = ls_response-completion. CATCH /aws1/cx_bdraccessdeniedex INTO DATA(lo_ex). WRITE / lo_ex->get_text( ). WRITE / |Don't forget to enable model access at https://console.aws.amazon.com/bedrock/home?#/modelaccess|. ENDTRY. ``` Invoke the Anthropic Claude 2 foundation model to generate text using L2 high level client. ``` TRY. DATA(lo_bdr_l2_claude) = /aws1/cl_bdr_l2_factory=>create_claude_2( lo_bdr ). " iv_prompt can contain a prompt like 'tell me a joke about Java programmers'. DATA(lv_answer) = lo_bdr_l2_claude->prompt_for_text( iv_prompt ). CATCH /aws1/cx_bdraccessdeniedex INTO DATA(lo_ex). WRITE / lo_ex->get_text( ). WRITE / |Don't forget to enable model access at https://console.aws.amazon.com/bedrock/home?#/modelaccess|. ENDTRY. ``` Invoke the Anthropic Claude 3 foundation model to generate text using L2 high level client. ``` TRY. " Choose a model ID from Anthropic that supports the Messages API - currently this is " Claude v2, Claude v3 and v3.5. For the list of model ID, see: " https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html " for the list of models that support the Messages API see: " https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html DATA(lo_bdr_l2_claude) = /aws1/cl_bdr_l2_factory=>create_anthropic_msg_api( io_bdr = lo_bdr iv_model_id = 'anthropic.claude-3-sonnet-20240229-v1:0' ). " choosing Claude v3 Sonnet " iv_prompt can contain a prompt like 'tell me a joke about Java programmers'. DATA(lv_answer) = lo_bdr_l2_claude->prompt_for_text( iv_prompt = iv_prompt iv_max_tokens = 100 ). CATCH /aws1/cx_bdraccessdeniedex INTO DATA(lo_ex). WRITE / lo_ex->get_text( ). WRITE / |Don't forget to enable model access at https://console.aws.amazon.com/bedrock/home?#/modelaccess|. ENDTRY. ``` + For API details, see [InvokeModel](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html) in *AWS SDK for SAP ABAP API reference*. ## Stable Diffusion Stable Diffusion ### InvokeModel InvokeModel The following code example shows how to invoke Stability.ai Stable Diffusion XL on Amazon Bedrock to generate an image. **SDK for SAP ABAP** 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/sap-abap/services/bdr#code-examples). Create an image with Stable Diffusion. ``` "Stable Diffusion Input Parameters should be in a format like this: * { * "text_prompts": [ * {"text":"Draw a dolphin with a mustache"}, * {"text":"Make it photorealistic"} * ], * "cfg_scale":10, * "seed":0, * "steps":50 * } TYPES: BEGIN OF prompt_ts, text TYPE /aws1/rt_shape_string, END OF prompt_ts. DATA: BEGIN OF ls_input, text_prompts TYPE STANDARD TABLE OF prompt_ts, cfg_scale TYPE /aws1/rt_shape_integer, seed TYPE /aws1/rt_shape_integer, steps TYPE /aws1/rt_shape_integer, END OF ls_input. APPEND VALUE prompt_ts( text = iv_prompt ) TO ls_input-text_prompts. ls_input-cfg_scale = 10. ls_input-seed = 0. "or better, choose a random integer. ls_input-steps = 50. DATA(lv_json) = /ui2/cl_json=>serialize( data = ls_input pretty_name = /ui2/cl_json=>pretty_mode-low_case ). TRY. DATA(lo_response) = lo_bdr->invokemodel( iv_body = /aws1/cl_rt_util=>string_to_xstring( lv_json ) iv_modelid = 'stability.stable-diffusion-xl-v1' iv_accept = 'application/json' iv_contenttype = 'application/json' ). "Stable Diffusion Result Format: * { * "result": "success", * "artifacts": [ * { * "seed": 0, * "base64": "iVBORw0KGgoAAAANSUhEUgAAAgAAA.... * "finishReason": "SUCCESS" * } * ] * } TYPES: BEGIN OF artifact_ts, seed TYPE /aws1/rt_shape_integer, base64 TYPE /aws1/rt_shape_string, finishreason TYPE /aws1/rt_shape_string, END OF artifact_ts. DATA: BEGIN OF ls_response, result TYPE /aws1/rt_shape_string, artifacts TYPE STANDARD TABLE OF artifact_ts, END OF ls_response. /ui2/cl_json=>deserialize( EXPORTING jsonx = lo_response->get_body( ) pretty_name = /ui2/cl_json=>pretty_mode-camel_case CHANGING data = ls_response ). IF ls_response-artifacts IS NOT INITIAL. DATA(lv_image) = cl_http_utility=>if_http_utility~decode_x_base64( ls_response-artifacts[ 1 ]-base64 ). ENDIF. CATCH /aws1/cx_bdraccessdeniedex INTO DATA(lo_ex). WRITE / lo_ex->get_text( ). WRITE / |Don't forget to enable model access at https://console.aws.amazon.com/bedrock/home?#/modelaccess|. ENDTRY. ``` Invoke the Stability.ai Stable Diffusion XL foundation model to generate images using L2 high level client. ``` TRY. DATA(lo_bdr_l2_sd) = /aws1/cl_bdr_l2_factory=>create_stable_diffusion_xl_1( lo_bdr ). " iv_prompt contains a prompt like 'Show me a picture of a unicorn reading an enterprise financial report'. DATA(lv_image) = lo_bdr_l2_sd->text_to_image( iv_prompt ). CATCH /aws1/cx_bdraccessdeniedex INTO DATA(lo_ex). WRITE / lo_ex->get_text( ). WRITE / |Don't forget to enable model access at https://console.aws.amazon.com/bedrock/home?#/modelaccess|. ENDTRY. ``` + For API details, see [InvokeModel](https://docs.aws.amazon.com/sdk-for-sap-abap/v1/api/latest/index.html) in *AWS SDK for SAP ABAP API reference*.