Add request level parameters for system_prompt and user_instructions.

Signed-off-by: Austin Lee <[email protected]>

plugin/src/test/java/org/opensearch/ml/rest/RestMLRAGSearchProcessorIT.java

@@ -171,6 +171,8 @@ public class RestMLRAGSearchProcessorIT extends RestMLRemoteInferenceIT {
         + "      \"generative_qa_parameters\": {\n"
         + "        \"llm_model\": \"%s\",\n"
         + "        \"llm_question\": \"%s\",\n"
+        + "        \"system_prompt\": \"%s\",\n"
+        + "        \"user_instructions\": \"%s\",\n"
         + "        \"context_size\": %d,\n"
         + "        \"message_size\": %d,\n"
         + "        \"timeout\": %d\n"
@@ -188,6 +190,8 @@ public class RestMLRAGSearchProcessorIT extends RestMLRemoteInferenceIT {
         + "        \"llm_model\": \"%s\",\n"
         + "        \"llm_question\": \"%s\",\n"
         + "        \"memory_id\": \"%s\",\n"
+        + "        \"system_prompt\": \"%s\",\n"
+        + "        \"user_instructions\": \"%s\",\n"
         + "        \"context_size\": %d,\n"
         + "        \"message_size\": %d,\n"
         + "        \"timeout\": %d\n"
@@ -283,6 +287,8 @@ public void testBM25WithOpenAI() throws Exception {
         requestParameters.match = "president";
         requestParameters.llmModel = OPENAI_MODEL;
         requestParameters.llmQuestion = "who is lincoln";
+        requestParameters.systemPrompt = "You are great at answering questions";
+        requestParameters.userInstructions = "Follow my instructions as best you can";
         requestParameters.contextSize = 5;
         requestParameters.interactionSize = 5;
         requestParameters.timeout = 60;
@@ -502,6 +508,8 @@ private Response performSearch(String indexName, String pipeline, int size, Sear
                     requestParameters.match,
                     requestParameters.llmModel,
                     requestParameters.llmQuestion,
+                    requestParameters.systemPrompt,
+                    requestParameters.userInstructions,
                     requestParameters.contextSize,
                     requestParameters.interactionSize,
                     requestParameters.timeout
@@ -516,6 +524,8 @@ private Response performSearch(String indexName, String pipeline, int size, Sear
                     requestParameters.llmModel,
                     requestParameters.llmQuestion,
                     requestParameters.conversationId,
+                    requestParameters.systemPrompt,
+                    requestParameters.userInstructions,
                     requestParameters.contextSize,
                     requestParameters.interactionSize,
                     requestParameters.timeout
@@ -556,6 +566,8 @@ static class SearchRequestParameters {
         String match;
         String llmModel;
         String llmQuestion;
+        String systemPrompt;
+        String userInstructions;
         int contextSize;
         int interactionSize;
         int timeout;

search-processors/src/main/java/org/opensearch/searchpipelines/questionanswering/generative/GenerativeQAResponseProcessor.java

@@ -143,6 +143,16 @@ public SearchResponse processResponse(SearchRequest request, SearchResponse resp
         }
         List<String> searchResults = getSearchResults(response, topN);
 
+        // See if the prompt is being overridden at the request level.
+        String effectiveSystemPrompt = systemPrompt;
+        String effectiveUserInstructions = userInstructions;
+        if (params.getSystemPrompt() != null) {
+            effectiveSystemPrompt = params.getSystemPrompt();
+        }
+        if (params.getUserInstructions() != null) {
+            effectiveUserInstructions = params.getUserInstructions();
+        }
+
         start = Instant.now();
         try {
             ChatCompletionOutput output = llm

search-processors/src/main/java/org/opensearch/searchpipelines/questionanswering/generative/ext/GenerativeQAParameters.java

@@ -29,6 +29,7 @@
 import org.opensearch.core.xcontent.ToXContentObject;
 import org.opensearch.core.xcontent.XContentBuilder;
 import org.opensearch.core.xcontent.XContentParser;
+import org.opensearch.searchpipelines.questionanswering.generative.GenerativeQAProcessorConstants;
 
 import com.google.common.base.Preconditions;
 
@@ -70,13 +71,19 @@ public class GenerativeQAParameters implements Writeable, ToXContentObject {
     // from a remote inference endpoint before timing out the request.
     private static final ParseField TIMEOUT = new ParseField("timeout");
 
+    private static final ParseField SYSTEM_PROMPT = new ParseField(GenerativeQAProcessorConstants.CONFIG_NAME_SYSTEM_PROMPT);
+
+    private static final ParseField USER_INSTRUCTIONS = new ParseField(GenerativeQAProcessorConstants.CONFIG_NAME_USER_INSTRUCTIONS);
+
     public static final int SIZE_NULL_VALUE = -1;
 
     static {
         PARSER = new ObjectParser<>("generative_qa_parameters", GenerativeQAParameters::new);
         PARSER.declareString(GenerativeQAParameters::setConversationId, CONVERSATION_ID);
         PARSER.declareString(GenerativeQAParameters::setLlmModel, LLM_MODEL);
         PARSER.declareString(GenerativeQAParameters::setLlmQuestion, LLM_QUESTION);
+        PARSER.declareStringOrNull(GenerativeQAParameters::setSystemPrompt, SYSTEM_PROMPT);
+        PARSER.declareStringOrNull(GenerativeQAParameters::setUserInstructions, USER_INSTRUCTIONS);
         PARSER.declareIntOrNull(GenerativeQAParameters::setContextSize, SIZE_NULL_VALUE, CONTEXT_SIZE);
         PARSER.declareIntOrNull(GenerativeQAParameters::setInteractionSize, SIZE_NULL_VALUE, INTERACTION_SIZE);
         PARSER.declareIntOrNull(GenerativeQAParameters::setTimeout, SIZE_NULL_VALUE, TIMEOUT);
@@ -106,10 +113,20 @@ public class GenerativeQAParameters implements Writeable, ToXContentObject {
     @Getter
     private Integer timeout;
 
+    @Setter
+    @Getter
+    private String systemPrompt;
+
+    @Setter
+    @Getter
+    private String userInstructions;
+
     public GenerativeQAParameters(
         String conversationId,
         String llmModel,
         String llmQuestion,
+        String systemPrompt,
+        String userInstructions,
         Integer contextSize,
         Integer interactionSize,
         Integer timeout
@@ -121,6 +138,8 @@ public GenerativeQAParameters(
         // for question rewriting.
         Preconditions.checkArgument(!Strings.isNullOrEmpty(llmQuestion), LLM_QUESTION.getPreferredName() + " must be provided.");
         this.llmQuestion = llmQuestion;
+        this.systemPrompt = systemPrompt;
+        this.userInstructions = userInstructions;
         this.contextSize = (contextSize == null) ? SIZE_NULL_VALUE : contextSize;
         this.interactionSize = (interactionSize == null) ? SIZE_NULL_VALUE : interactionSize;
         this.timeout = (timeout == null) ? SIZE_NULL_VALUE : timeout;
@@ -130,6 +149,8 @@ public GenerativeQAParameters(StreamInput input) throws IOException {
         this.conversationId = input.readOptionalString();
         this.llmModel = input.readOptionalString();
         this.llmQuestion = input.readString();
+        this.systemPrompt = input.readOptionalString();
+        this.userInstructions = input.readOptionalString();
         this.contextSize = input.readInt();
         this.interactionSize = input.readInt();
         this.timeout = input.readInt();
@@ -141,6 +162,8 @@ public XContentBuilder toXContent(XContentBuilder xContentBuilder, Params params
             .field(CONVERSATION_ID.getPreferredName(), this.conversationId)
             .field(LLM_MODEL.getPreferredName(), this.llmModel)
             .field(LLM_QUESTION.getPreferredName(), this.llmQuestion)
+            .field(SYSTEM_PROMPT.getPreferredName(), this.systemPrompt)
+            .field(USER_INSTRUCTIONS.getPreferredName(), this.userInstructions)
             .field(CONTEXT_SIZE.getPreferredName(), this.contextSize)
             .field(INTERACTION_SIZE.getPreferredName(), this.interactionSize)
             .field(TIMEOUT.getPreferredName(), this.timeout);
@@ -153,6 +176,8 @@ public void writeTo(StreamOutput out) throws IOException {
 
         Preconditions.checkNotNull(llmQuestion, "llm_question must not be null.");
         out.writeString(llmQuestion);
+        out.writeOptionalString(systemPrompt);
+        out.writeOptionalString(userInstructions);
         out.writeInt(contextSize);
         out.writeInt(interactionSize);
         out.writeInt(timeout);
@@ -175,6 +200,8 @@ public boolean equals(Object o) {
         return Objects.equals(this.conversationId, other.getConversationId())
             && Objects.equals(this.llmModel, other.getLlmModel())
             && Objects.equals(this.llmQuestion, other.getLlmQuestion())
+            && Objects.equals(this.systemPrompt, other.getSystemPrompt())
+            && Objects.equals(this.userInstructions, other.getUserInstructions())
             && (this.contextSize == other.getContextSize())
             && (this.interactionSize == other.getInteractionSize())
             && (this.timeout == other.getTimeout());