Merge pull request #591 from weaviate/feat/text2vec-endpoint-parameter

feat(vectorizer): add endpoint parameter to text2vec-morph and text2vec-openai

Author: bevzzz

src/main/java/io/weaviate/client6/v1/api/collections/vectorizers/Text2VecMorphVectorizer.java

@@ -13,6 +13,7 @@
 
 public record Text2VecMorphVectorizer(
     @SerializedName("baseURL") String baseUrl,
+    @SerializedName("endpoint") String endpoint,
     @SerializedName("model") String model,
 
     /** Properties included in the embedding. */
@@ -44,6 +45,7 @@ public static Text2VecMorphVectorizer of(
   public Text2VecMorphVectorizer(Builder builder) {
     this(
         builder.baseUrl,
+        builder.endpoint,
         builder.model,
         builder.sourceProperties,
         builder.vectorIndex,
@@ -56,13 +58,20 @@ public static class Builder implements ObjectBuilder<Text2VecMorphVectorizer> {
     private VectorIndex vectorIndex = VectorIndex.DEFAULT_VECTOR_INDEX;
 
     private String baseUrl;
+    private String endpoint;
     private String model;
 
     public Builder baseUrl(String baseUrl) {
       this.baseUrl = baseUrl;
       return this;
     }
 
+    /** Defaults to {@code /v1/embeddings} on the server. */
+    public Builder endpoint(String endpoint) {
+      this.endpoint = endpoint;
+      return this;
+    }
+
     public Builder model(String model) {
       this.model = model;
       return this;

src/main/java/io/weaviate/client6/v1/api/collections/vectorizers/Text2VecOpenAiVectorizer.java

@@ -13,6 +13,7 @@
 
 public record Text2VecOpenAiVectorizer(
     @SerializedName("baseURL") String baseUrl,
+    @SerializedName("endpoint") String endpoint,
     @SerializedName("model") String model,
     @SerializedName("modelVersion") String modelVersion,
     @SerializedName("dimensions") Integer dimensions,
@@ -66,6 +67,7 @@ public static Text2VecOpenAiVectorizer of(
    */
   public Text2VecOpenAiVectorizer(
       String baseUrl,
+      String endpoint,
       String model,
       String modelVersion,
       Integer dimensions,
@@ -76,6 +78,7 @@ public Text2VecOpenAiVectorizer(
       VectorIndex vectorIndex,
       Quantization quantization) {
     this.baseUrl = baseUrl;
+    this.endpoint = endpoint;
     this.model = model;
     this.modelVersion = modelVersion;
     this.dimensions = dimensions;
@@ -90,6 +93,7 @@ public Text2VecOpenAiVectorizer(
   public Text2VecOpenAiVectorizer(Builder builder) {
     this(
         builder.baseUrl,
+        builder.endpoint,
         builder.model,
         builder.modelVersion,
         builder.dimensions,
@@ -108,6 +112,7 @@ public static class Builder implements ObjectBuilder<Text2VecOpenAiVectorizer> {
     private VectorIndex vectorIndex = VectorIndex.DEFAULT_VECTOR_INDEX;
 
     private String baseUrl;
+    private String endpoint;
     private String model;
     private String modelVersion;
     private Integer dimensions;
@@ -118,6 +123,12 @@ public Builder baseUrl(String baseUrl) {
       return this;
     }
 
+    /** Defaults to {@code /v1/embeddings} on the server. */
+    public Builder endpoint(String endpoint) {
+      this.endpoint = endpoint;
+      return this;
+    }
+
     public Builder model(String model) {
       this.model = model;
       return this;

src/test/java/io/weaviate/client6/v1/internal/json/JSONTest.java

@@ -52,10 +52,10 @@
 import io.weaviate.client6.v1.api.collections.vectorizers.Text2VecAwsVectorizer;
 import io.weaviate.client6.v1.api.collections.vectorizers.Text2VecCohereVectorizer;
 import io.weaviate.client6.v1.api.collections.vectorizers.Text2VecDatabricksVectorizer;
+import io.weaviate.client6.v1.api.collections.vectorizers.Text2VecDigitalOceanVectorizer;
 import io.weaviate.client6.v1.api.collections.vectorizers.Text2VecGoogleVectorizer;
 import io.weaviate.client6.v1.api.collections.vectorizers.Text2VecHuggingFaceVectorizer;
 import io.weaviate.client6.v1.api.collections.vectorizers.Text2VecJinaAiVectorizer;
-import io.weaviate.client6.v1.api.collections.vectorizers.Text2VecDigitalOceanVectorizer;
 import io.weaviate.client6.v1.api.collections.vectorizers.Text2VecMistralVectorizer;
 import io.weaviate.client6.v1.api.collections.vectorizers.Text2VecModel2VecVectorizer;
 import io.weaviate.client6.v1.api.collections.vectorizers.Text2VecMorphVectorizer;
@@ -68,10 +68,10 @@
 import io.weaviate.client6.v1.api.rbac.AliasesPermission;
 import io.weaviate.client6.v1.api.rbac.BackupsPermission;
 import io.weaviate.client6.v1.api.rbac.ClusterPermission;
-import io.weaviate.client6.v1.api.rbac.McpPermission;
 import io.weaviate.client6.v1.api.rbac.CollectionsPermission;
 import io.weaviate.client6.v1.api.rbac.DataPermission;
 import io.weaviate.client6.v1.api.rbac.GroupsPermission;
+import io.weaviate.client6.v1.api.rbac.McpPermission;
 import io.weaviate.client6.v1.api.rbac.NodesPermission;
 import io.weaviate.client6.v1.api.rbac.ReplicatePermission;
 import io.weaviate.client6.v1.api.rbac.Role;
@@ -367,7 +367,8 @@ public static Object[][] testCases() {
         },
         {
             VectorConfig.class,
-            Text2VecDigitalOceanVectorizer.of(v -> v.model("qwen3-embedding-0.6b").baseUrl("https://inference.do-ai.run").sourceProperties("a")),
+            Text2VecDigitalOceanVectorizer
+                .of(v -> v.model("qwen3-embedding-0.6b").baseUrl("https://inference.do-ai.run").sourceProperties("a")),
             """
                 {
                   "vectorIndexType": "hnsw",
@@ -429,14 +430,18 @@ public static Object[][] testCases() {
         },
         {
             VectorConfig.class,
-            Text2VecMorphVectorizer.of(v -> v.sourceProperties("a")),
+            Text2VecMorphVectorizer.of(
+                v -> v
+                    .sourceProperties("a")
+                    .endpoint("/v0/example")),
             """
                 {
                   "vectorIndexType": "hnsw",
                   "vectorIndexConfig": {},
                   "vectorizer": {
                     "text2vec-morph": {
-                      "properties": ["a"]
+                      "properties": ["a"],
+                      "endpoint": "/v0/example"
                     }
                   }
                 }
@@ -507,13 +512,17 @@ public static Object[][] testCases() {
         {
             VectorConfig.class,
             Text2VecOpenAiVectorizer
-                .of(v -> v.sourceProperties("a").model(Text2VecOpenAiVectorizer.TEXT_EMBEDDING_3_LARGE)),
+                .of(v -> v
+                    .endpoint("/v0/example")
+                    .sourceProperties("a")
+                    .model(Text2VecOpenAiVectorizer.TEXT_EMBEDDING_3_LARGE)),
             """
                 {
                   "vectorIndexType": "hnsw",
                   "vectorIndexConfig": {},
                   "vectorizer": {
                     "text2vec-openai": {
+                      "endpoint": "/v0/example",
                       "model": "text-embedding-3-large",
                       "properties": ["a"],
                       "vectorizeClassName": false