refs #708: benchmark Llama game scope profile
This commit is contained in:
@@ -46,3 +46,24 @@ Smilegate DATA & AI PoC는 Autonomous Database의 게임 데이터에서 Select
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- `DBMS_CLOUD_AI.GENERATE(..., 'showsql')`이 읽기 전용 `SELECT` 또는 `WITH` SQL을 생성한다.
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- 해당 SQL을 읽기 전용 트랜잭션에서 실행해 결과를 반환한다.
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- 운영 MCP 응답의 `profile`이 `SGMP_POC_OCI_GPT54MINI`이다.
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## Llama 4 Scout 범위 판정 성능 비교
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게임 범위 판정은 Text2SQL 실행 전 OCI Chat을 사용한다. 이 단계의 응답시간을
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비교하기 위해 운영 프로파일을 교체하지 않고 별도 테스트 프로파일
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`SGMP_POC_OCI_LLAMA4SCOUT`을 만든다.
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| 구분 | 운영 | 비교 대상 |
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| --- | --- | --- |
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| 프로파일 | `SGMP_POC_OCI_GPT54MINI` | `SGMP_POC_OCI_LLAMA4SCOUT` |
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| 모델 | `openai.gpt-5.4-mini` | `meta.llama-4-scout-17b-16e-instruct` |
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| 인증·리전 | 기존 OCI credential·inference region 유지 | 동일 |
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| object list·metadata | 운영 값 | 운영 값 복제 |
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| 운영 트래픽 | 사용 | 사용하지 않음 |
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`sql/adb/112_sgmp_select_ai_oci_llama4scout_profile.sql`은 기존 OCI 프로파일의
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credential, region, compartment, object list와 metadata instructions를 복제하고
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모델만 교체한다. 같은 질문을 두 프로파일에 각각 Chat 호출해 경과시간과 반환 JSON
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형식을 기록한다. 품질·지연시간 결과를 검토하기 전에는
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`sg_game_extract_mentions`와 `sg_game_match_candidate`의 운영 프로파일을 바꾸지
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않는다.
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81
sql/adb/112_sgmp_select_ai_oci_llama4scout_profile.sql
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81
sql/adb/112_sgmp_select_ai_oci_llama4scout_profile.sql
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@@ -0,0 +1,81 @@
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-- Creates a non-operational comparison profile for Smilegate game-scope chat.
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-- The active GPT profile remains unchanged. Provider credentials and profile
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-- metadata are copied from it so the only comparison variable is the model.
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DECLARE
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v_exists PLS_INTEGER;
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v_credential_name VARCHAR2(128);
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v_region VARCHAR2(128);
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v_compartment_id VARCHAR2(4000);
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v_attributes CLOB;
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v_attribute_json JSON_OBJECT_T := JSON_OBJECT_T();
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BEGIN
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SELECT COUNT(*)
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INTO v_exists
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FROM user_cloud_ai_profiles
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WHERE profile_name = 'SGMP_POC_OCI_LLAMA4SCOUT';
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IF v_exists > 0 THEN
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DBMS_CLOUD_AI.DROP_PROFILE(
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profile_name => 'SGMP_POC_OCI_LLAMA4SCOUT',
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force => TRUE
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);
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END IF;
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SELECT DBMS_LOB.SUBSTR(attribute_value, 128, 1)
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INTO v_credential_name
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FROM user_cloud_ai_profile_attributes
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WHERE profile_name = 'SGMP_POC_OCI_GPT54MINI'
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AND attribute_name = 'credential_name';
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SELECT DBMS_LOB.SUBSTR(attribute_value, 128, 1)
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INTO v_region
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FROM user_cloud_ai_profile_attributes
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WHERE profile_name = 'SGMP_POC_OCI_GPT54MINI'
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AND attribute_name = 'region';
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SELECT DBMS_LOB.SUBSTR(attribute_value, 4000, 1)
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INTO v_compartment_id
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FROM user_cloud_ai_profile_attributes
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WHERE profile_name = 'SGMP_POC_OCI_GPT54MINI'
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AND attribute_name = 'oci_compartment_id';
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v_attribute_json.put('provider', 'oci');
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v_attribute_json.put('credential_name', v_credential_name);
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v_attribute_json.put('model', 'meta.llama-4-scout-17b-16e-instruct');
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v_attribute_json.put('region', v_region);
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v_attribute_json.put('oci_compartment_id', v_compartment_id);
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v_attributes := v_attribute_json.to_clob;
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DBMS_CLOUD_AI.CREATE_PROFILE(
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profile_name => 'SGMP_POC_OCI_LLAMA4SCOUT',
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attributes => v_attributes,
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description => 'Non-operational Smilegate game-scope latency comparison'
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);
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FOR source_attribute IN (
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SELECT attribute_name, attribute_value
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FROM user_cloud_ai_profile_attributes
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WHERE profile_name = 'SGMP_POC_OCI_GPT54MINI'
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AND attribute_name NOT IN (
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'credential_name', 'model', 'provider', 'provider_endpoint',
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'region', 'oci_compartment_id', 'oci_endpoint_id',
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'oci_apiformat', 'oci_runtimetype'
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)
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) LOOP
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DBMS_CLOUD_AI.SET_ATTRIBUTE(
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profile_name => 'SGMP_POC_OCI_LLAMA4SCOUT',
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attribute_name => source_attribute.attribute_name,
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attribute_value => source_attribute.attribute_value
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);
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END LOOP;
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END;
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/
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SELECT attribute_name, attribute_value
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FROM user_cloud_ai_profile_attributes
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WHERE profile_name = 'SGMP_POC_OCI_LLAMA4SCOUT'
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AND attribute_name IN (
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'provider', 'model', 'credential_name', 'region', 'oci_compartment_id'
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)
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ORDER BY attribute_name;
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60
sql/adb/113_sgmp_game_scope_chat_profile_benchmark.sql
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60
sql/adb/113_sgmp_game_scope_chat_profile_benchmark.sql
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@@ -0,0 +1,60 @@
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-- Read-only latency and JSON-shape comparison for the game-mention extraction
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-- stage. Korean input is reconstructed from UTF-8 base64 for SQLcl safety.
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set serveroutput on size unlimited
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DECLARE
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v_question CLOB := utl_i18n.raw_to_char(
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utl_encode.base64_decode(utl_raw.cast_to_raw(
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'66Gc65Oc64KY7J247J20656RIOy5tOygnOuCmOydmCAyMDI264WEIDfsm5QgMTXsnbwgQVXrpbwg6rCB6rCBIOyVjOugpOykmC4='
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)),
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'AL32UTF8'
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);
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v_prompt CLOB;
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v_result CLOB;
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v_json JSON_OBJECT_T;
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v_started PLS_INTEGER;
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v_elapsed_seconds NUMBER;
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PROCEDURE run_profile(p_profile_name IN VARCHAR2) IS
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BEGIN
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v_started := DBMS_UTILITY.GET_TIME;
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v_result := DBMS_CLOUD_AI.GENERATE(
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prompt => v_prompt,
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profile_name => p_profile_name,
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action => 'chat'
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);
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v_elapsed_seconds := (DBMS_UTILITY.GET_TIME - v_started) / 100;
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v_json := JSON_OBJECT_T.parse(v_result);
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DBMS_OUTPUT.PUT_LINE(
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p_profile_name
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|| '|elapsed_seconds=' || TO_CHAR(v_elapsed_seconds, 'FM9990D00')
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|| '|scope_hint=' || NVL(v_json.get_string('scope_hint'), 'NULL')
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|| '|mention_count=' || v_json.get_array('game_mentions').get_size
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);
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EXCEPTION
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WHEN OTHERS THEN
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DBMS_OUTPUT.PUT_LINE(
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p_profile_name || '|elapsed_seconds='
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|| TO_CHAR(v_elapsed_seconds, 'FM9990D00')
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|| '|ERROR|' || SQLCODE || '|' || SUBSTR(SQLERRM, 1, 300)
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);
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DBMS_OUTPUT.PUT_LINE(
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p_profile_name || '|raw_response=' || DBMS_LOB.SUBSTR(v_result, 1000, 1)
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);
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END;
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BEGIN
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v_prompt := 'Extract only game-name mentions from the user question. '
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|| 'Metrics, acronyms, dates, filters, and database object or column names are not game names unless they are themselves an explicit game title. '
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|| 'When a title-like noun directly qualifies a game data request such as user master, character, sales, AU, NRU, server, or game log, preserve that noun as a game-name mention even when it is not in a catalog. '
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|| 'Do not discard an unknown title merely because it cannot be resolved. General scope words such as common, overall, all, total, or every are not game-name mentions unless they are part of an explicit title. '
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|| 'Return exactly one JSON object with keys game_mentions (array of strings) '
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|| 'and scope_hint (GLOBAL, SINGLE_GAME, MULTI_GAME, ALL_GAMES, UNKNOWN). '
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|| 'Do not resolve names to IDs and do not generate SQL. '
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|| 'Return raw JSON only: no prose, no Markdown, and no code fence. Question: '
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|| v_question;
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run_profile('SGMP_POC_OCI_GPT54MINI');
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run_profile('SGMP_POC_OCI_LLAMA4SCOUT');
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END;
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/
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