Filter empty text parts when streaming

.changeset/seven-oranges-care.md

@@ -0,0 +1,5 @@
+---
+'@firebase/vertexai': patch
+---
+
+Filter out empty text parts from streaming responses.

packages/vertexai/src/requests/stream-reader.test.ts

@@ -33,8 +33,10 @@ import {
   GenerateContentResponse,
   HarmCategory,
   HarmProbability,
-  SafetyRating
+  SafetyRating,
+  VertexAIErrorCode
 } from '../types';
+import { VertexAIError } from '../errors';
 
 use(sinonChai);
 
@@ -220,6 +222,23 @@ describe('processStream', () => {
     }
     expect(foundCitationMetadata).to.be.true;
   });
+  it('removes empty text parts', async () => {
+    const fakeResponse = getMockResponseStreaming(
+      'streaming-success-empty-text-part.txt'
+    );
+    const result = processStream(fakeResponse as Response);
+    const aggregatedResponse = await result.response;
+    expect(aggregatedResponse.text()).to.equal('1');
+    expect(aggregatedResponse.candidates?.length).to.equal(1);
+    expect(aggregatedResponse.candidates?.[0].content.parts.length).to.equal(1);
+
+    // The chunk with the empty text part will still go through the stream
+    let numChunks = 0;
+    for await (const _ of result.stream) {
+      numChunks++;
+    }
+    expect(numChunks).to.equal(2);
+  });
 });
 
 describe('aggregateResponses', () => {
@@ -403,4 +422,49 @@ describe('aggregateResponses', () => {
       ).to.equal(150);
     });
   });
+
+  it('throws if a part has no properties', () => {
+    const responsesToAggregate: GenerateContentResponse[] = [
+      {
+        candidates: [
+          {
+            index: 0,
+            content: {
+              role: 'user',
+              parts: [{} as any] // Empty
+            },
+            finishReason: FinishReason.STOP,
+            finishMessage: 'something',
+            safetyRatings: [
+              {
+                category: HarmCategory.HARM_CATEGORY_HARASSMENT,
+                probability: HarmProbability.NEGLIGIBLE
+              } as SafetyRating
+            ]
+          }
+        ],
+        promptFeedback: {
+          blockReason: BlockReason.SAFETY,
+          safetyRatings: [
+            {
+              category: HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT,
+              probability: HarmProbability.LOW
+            } as SafetyRating
+          ]
+        }
+      }
+    ];
+
+    try {
+      aggregateResponses(responsesToAggregate);
+    } catch (e) {
+      expect((e as VertexAIError).code).includes(
+        VertexAIErrorCode.INVALID_CONTENT
+      );
+      expect((e as VertexAIError).message).to.include(
+        'Part should have at least one property, but there are none. This is likely caused ' +
+          'by a malformed response from the backend.'
+      );
+    }
+  });
 });

packages/vertexai/src/requests/stream-reader.ts

@@ -62,6 +62,7 @@ async function getResponsePromise(
       );
       return enhancedResponse;
     }
+
     allResponses.push(value);
   }
 }
@@ -184,14 +185,24 @@ export function aggregateResponses(
           }
           const newPart: Partial<Part> = {};
           for (const part of candidate.content.parts) {
-            if (part.text) {
+            if (part.text !== undefined) {
+              // The backend can send empty text parts. If these are sent back
+              // (e.g. in chat history), the backend will respond with an error.
+              // To prevent this, ignore empty text parts.
+              if (part.text === '') {
+                continue;
+              }
               newPart.text = part.text;
             }
             if (part.functionCall) {
               newPart.functionCall = part.functionCall;
             }
             if (Object.keys(newPart).length === 0) {
-              newPart.text = '';
+              throw new VertexAIError(
+                VertexAIErrorCode.INVALID_CONTENT,
+                'Part should have at least one property, but there are none. This is likely caused ' +
+                  'by a malformed response from the backend.'
+              );
             }
             aggregatedResponse.candidates[i].content.parts.push(
               newPart as Part

scripts/update_vertexai_responses.sh

@@ -17,7 +17,7 @@
 # This script replaces mock response files for Vertex AI unit tests with a fresh
 # clone of the shared repository of Vertex AI test data.
 
-RESPONSES_VERSION='v5.*' # The major version of mock responses to use
+RESPONSES_VERSION='v6.*' # The major version of mock responses to use
 REPO_NAME="vertexai-sdk-test-data"
 REPO_LINK="https://github.com/FirebaseExtended/$REPO_NAME.git"