使用 SDK for SAP ABAP 的 Amazon Bedrock 运行时系统示例 - Amazon 适用于 SAP 的 SDK ABA
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使用 SDK for SAP ABAP 的 Amazon Bedrock 运行时系统示例

以下代码示例向您展示了如何使用适用于 SAP ABAP 的 Amazon 软件开发工具包和 Amazon Bedrock Runtime 来执行操作和实现常见场景。

操作是大型程序的代码摘录,必须在上下文中运行。您可以通过操作了解如何调用单个服务函数,还可以通过函数相关场景和跨服务示例的上下文查看操作。

场景 是展示如何通过在同一服务中调用多个函数来完成特定任务的代码示例。

每个示例都包含一个指向的链接 GitHub,您可以在其中找到有关如何在上下文中设置和运行代码的说明。

Anthropic Claude

以下代码示例展示了如何使用 Invoke Model API 向 Anthropic Claude 发送短信。

SDK for SAP ABAP
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

调用 Anthropic Claude 2 基础模型以生成文本。此示例使用了 /US2/CL_JSON 的功能,这些功能在某些版本上可能不可用。 NetWeaver

"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.

调用 Anthropic Claude 2 基础模型,使用 L2 高级客户端生成文本。

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.
  • 有关 API 的详细信息,请参阅适用InvokeModel于 S AP 的Amazon SDK ABAP API 参考

Stable Diffusion

以下代码示例展示了如何在 Amazon Bedrock 上调用 Stability.ai Stable Diffusion XL 来生成图像。

SDK for SAP ABAP
注意

还有更多相关信息 GitHub。在 Amazon 代码示例存储库中查找完整示例,了解如何进行设置和运行。

使用稳定扩散创建图像。

"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-v0' 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.

调用 Stability.ai Stable Diffusion XL 基础模型,使用 L2 高级客户端生成图像。

TRY. DATA(lo_bdr_l2_sd) = /aws1/cl_bdr_l2_factory=>create_stable_diffusion_10( 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.
  • 有关 API 的详细信息,请参阅适用InvokeModel于 S AP 的Amazon SDK ABAP API 参考