A Cool use of Open AI in SAP GUI Editor


Here is a quick and effective example of using Open AI in SAP environment. In the example, developer can put pseudocode in the ABAP editor as comments and pass it on to Open AI and get back Open AI’s recommendations in the same editor.


For this demo, will utilize one of the Open AI models trained on both natural and programming languages.

Below are the full details on the Codex models and how to work with it.

How to use the Codex models to work with code – Azure OpenAI Service | Microsoft Learn

To integrate open AI from SAP, will use Open AI ABAP SDK published in the following blog published by Gopal Nair:

Announcing – Microsoft AI SDK for SAP | SAP Blogs

I will be publishing more on how it will help with SAP based developments in future blogs.

This blog covers a simple integration with Open AI from SAP GUI classical editor.


Steps to create dynamic Pattern:

  • Create a new pattern by going to Utilities->More Utilities->Edit Pattern->Create Pattern
  • Give a pattern name and click Ok.
  • Add *$&$EXIT in the Pattern.

Steps to handle Pattern Event in CMOD

  • Go to CMOD Tcode. Create a new project e.g. ZCOPILOT.
  • Select Enhancement Assignment. Assign SEUED001 Enhancement.
  • Go to Components. EXIT_SAPLOCAL_EDT1_001 gets triggered when pattern is selected in ABAP Editor
  • Create Include provided in this EXIT. Double click on Include and enter to allow system to create this Include.
  • Following code gets the source code of ABAP program from where the pattern is called.
data: field(40) type c value '(SAPLLOCAL_EDT1)CONTENT[]',
field_ind(40) type c value '(SAPLLOCAL_EDT1)CURSOR-NEW_INDEX'.
assign (field) to <fs_content>.
assign (field_ind) to <fs_ind>.
  • Now pass this code to open AI using ABAP SDK and get the code suggestion from the AI in response.
  • Add the code returned from AI to buffer internal table to make it available in the editor.
  • Full code for ZXSEUU26
      lv_index(40)   TYPE  c VALUE '(SAPLLOCAL_EDT1)CURSOR-NEW_INDEX'.
      sdk_instance  type ref to zif_peng_azoai_sdk,         "MS AI SDK for SAP Instance
      status_code   type i,                                 "Return Status Code
      status_reason type string,                            "Return Status Reason
      returnjson    type string,                            "Return JSON. The content of this JSON string is parsed and made available through ABAP data types.
      error         type zif_peng_azoai_sdk_types=>ty_error. "ABAP Type for Error
      chatcompl_input  type zif_peng_azoai_sdk_types=>ty_chatcompletion_input,
      chatcompl_output type zif_peng_azoai_sdk_types=>ty_chatcompletion_output.
      lv_api_url type string,
      lv_api_ver type string,
      lv_api_key type string,
      lv_depid   type string.
DATA: lv_buffer TYPE string,
      lv_code   TYPE string.
IF keyword = 'ZGPT'.

  ASSIGN (lc_content) TO <fs_content>.
  ASSIGN (lc_index) TO <fs_ind>.
IF <fs_content> IS ASSIGNED.
    IF <fs_ind> IS ASSIGNED AND <fs_ind> > 1.
      READ TABLE <fs_content> INDEX <fs_ind>  INTO lv_code.
      IF lv_code IS INITIAL.
        <fs_ind> = <fs_ind> - 1.
        READ TABLE <fs_content> INDEX <fs_ind>  INTO lv_code.
      READ TABLE <fs_content> INDEX 1  INTO lv_code.
      lv_api_ver = api_ver.
      lv_api_url = api_url.
      lv_api_key  = api_key.
      lv_depid = depid.
      sdk_instance = zcl_peng_azoai_sdk_factory=>get_instance( )->get_sdk(
                                                              api_version = lv_api_ver
                                                              api_base    = lv_api_url
                                                              api_type    = zif_peng_azoai_sdk_constants=>c_apitype-azure
                                                              api_key     = lv_api_key

*     Construct the prompt with system and user roles.
        append initial line to chatcompl_input-messages assigning field-symbol(<fs_message>).
        <fs_message>-role = zif_peng_azoai_sdk_constants=>c_chatcompletion_role-system.
        <fs_message>-content = search_role ."|You are an expert ABAP Developer|.
* Pass comments as prompt 
          append initial line to chatcompl_input-messages assigning <fs_message>.
          <fs_message>-role = zif_peng_azoai_sdk_constants=>c_chatcompletion_role-user.
          <fs_message>-content = lv_code.
*     Invoke Chat completion.
        sdk_instance->chat_completions( )->create(
            deploymentid = lv_depid
            prompts      = chatcompl_input
            statuscode   = status_code                  " Status Code
            statusreason = status_reason                " HTTP status description
            json         = returnjson                   " JSON String returned from AI Resource
            response     = chatcompl_output
            error        = error                        " ABAP Ready error details
*     Response from open AI.
        if  chatcompl_output-choices is not initial.
         LOOP AT completions_output-choices ASSIGNING FIELD-SYMBOL(<fs_outputtext>).
          str_output = |{ str_output }{ <fs_outputtext>-text }|.
 w_buffer =
   '*** Begin of AI Generated CODE***'.
      append w_buffer to buffer.
      w_buffer =
      append w_buffer to buffer.

      if lv_response is not initial.
        split lv_response at cl_abap_char_utilities=>newline into table lt_tab. "cl_abap_char_utilities=>cr_lf
        loop at lt_tab into data(w_tab).
          w_buffer = w_tab.
          append w_buffer to buffer.
         w_buffer =
  append w_buffer to buffer.
        w_buffer =
 '*** End of AI Generated CODE***'.
        append w_buffer to buffer.

    CATCH zcx_peng_azoai_sdk_exception INTO DATA(_ex).
      MESSAGE _ex TYPE 'I'.



Hope it inspires everyone to come up with more great ideas in integrating open AI.


Original Article:

Related blogs


Please enter your comment!
Please enter your name here