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Optimize MistralAiEmbeddingModel dimensions method #4810

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Optimize MistralAiEmbeddingModel dimensions method #4810

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8 changes: 7 additions & 1 deletion ...ai-mistral-ai/src/main/java/org/springframework/ai/mistralai/MistralAiEmbeddingModel.java
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Original file line number Diff line number Diff line change
Expand Up @@ -197,7 +197,13 @@ public float[] embed(Document document) {

@Override
public int dimensions() {
return KNOWN_EMBEDDING_DIMENSIONS.getOrDefault(this.defaultOptions.getModel(), super.dimensions());
var dimensions = KNOWN_EMBEDDING_DIMENSIONS.get(this.defaultOptions.getModel());

if (dimensions == null) {
dimensions = super.dimensions();
}

return dimensions;
}

/**
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17 changes: 8 additions & 9 deletions ...stral-ai/src/test/java/org/springframework/ai/mistralai/MistralAiEmbeddingModelTests.java
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Original file line number Diff line number Diff line change
Expand Up @@ -16,8 +16,10 @@

package org.springframework.ai.mistralai;

import java.util.Arrays;
import java.util.List;

import io.micrometer.observation.ObservationRegistry;
import org.junit.jupiter.api.Test;
import org.mockito.Mockito;

Expand Down Expand Up @@ -46,7 +48,7 @@ void testDimensionsForMistralEmbedModel() {
.build();

MistralAiEmbeddingModel model = new MistralAiEmbeddingModel(mockApi, MetadataMode.EMBED, options,
RetryUtils.DEFAULT_RETRY_TEMPLATE);
RetryUtils.DEFAULT_RETRY_TEMPLATE, ObservationRegistry.NOOP);

assertThat(model.dimensions()).isEqualTo(1024);
}
Expand All @@ -60,7 +62,7 @@ void testDimensionsForCodestralEmbedModel() {
.build();

MistralAiEmbeddingModel model = new MistralAiEmbeddingModel(mockApi, MetadataMode.EMBED, options,
RetryUtils.DEFAULT_RETRY_TEMPLATE);
RetryUtils.DEFAULT_RETRY_TEMPLATE, ObservationRegistry.NOOP);

assertThat(model.dimensions()).isEqualTo(1536);
}
Expand All @@ -73,7 +75,7 @@ void testDimensionsFallbackForUnknownModel() {
MistralAiEmbeddingOptions options = MistralAiEmbeddingOptions.builder().withModel("unknown-model").build();

MistralAiEmbeddingModel model = new MistralAiEmbeddingModel(mockApi, MetadataMode.EMBED, options,
RetryUtils.DEFAULT_RETRY_TEMPLATE);
RetryUtils.DEFAULT_RETRY_TEMPLATE, ObservationRegistry.NOOP);

// Should fall back to super.dimensions() which detects dimensions from the API
// response
Expand All @@ -94,7 +96,7 @@ void testAllEmbeddingModelsHaveDimensionMapping() {
.build();

MistralAiEmbeddingModel model = new MistralAiEmbeddingModel(mockApi, MetadataMode.EMBED, options,
RetryUtils.DEFAULT_RETRY_TEMPLATE);
RetryUtils.DEFAULT_RETRY_TEMPLATE, ObservationRegistry.NOOP);

// Each model should have a valid dimension (not the fallback -1)
assertThat(model.dimensions()).as("Model %s should have a dimension mapping", embeddingModel.getValue())
Expand Down Expand Up @@ -122,16 +124,13 @@ private MistralAiApi createMockApiWithEmbeddingResponse(int dimensions) {

// Create a mock embedding response with the specified dimensions
float[] embedding = new float[dimensions];
for (int i = 0; i < dimensions; i++) {
embedding[i] = 0.1f;
}
Arrays.fill(embedding, 0.1f);

MistralAiApi.Embedding embeddingData = new MistralAiApi.Embedding(0, embedding, "embedding");

MistralAiApi.Usage usage = new MistralAiApi.Usage(10, 0, 10);

MistralAiApi.EmbeddingList embeddingList = new MistralAiApi.EmbeddingList("object", List.of(embeddingData),
"model", usage);
var embeddingList = new MistralAiApi.EmbeddingList<>("object", List.of(embeddingData), "model", usage);

when(mockApi.embeddings(any())).thenReturn(ResponseEntity.ok(embeddingList));

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