Refactor model response classes and update API methods

- Renamed `ModelProcessesResponse` to `ModelProcessesResult` and updated all related references in the codebase.
- Introduced `OllamaEmbedResult` class to replace `OllamaEmbedResponse`, ensuring consistency across the API.
- Updated method signatures in `OllamaAPI` to reflect the new class names and adjusted integration tests accordingly.

docs/docs/apis-extras/ps.md

@@ -12,14 +12,14 @@ This API corresponds to the [PS](https://github.com/ollama/ollama/blob/main/docs
 package io.github.ollama4j.localtests;
 
 import io.github.ollama4j.OllamaAPI;
-import io.github.ollama4j.models.ps.ModelProcessesResponse;
+import io.github.ollama4j.models.ps.ModelProcessesResult;
 
 public class Main {
     public static void main(String[] args) {
 
         OllamaAPI ollamaAPI = new OllamaAPI("http://localhost:11434");
 
-        ModelProcessesResponse response = ollamaAPI.ps();
+        ModelProcessesResult response = ollamaAPI.ps();
 
         System.out.println(response);
     }

src/main/java/io/github/ollama4j/OllamaAPI.java

@@ -16,11 +16,11 @@ import io.github.ollama4j.metrics.MetricsRecorder;
 import io.github.ollama4j.models.chat.*;
 import io.github.ollama4j.models.chat.OllamaChatTokenHandler;
 import io.github.ollama4j.models.embed.OllamaEmbedRequest;
-import io.github.ollama4j.models.embed.OllamaEmbedResponse;
+import io.github.ollama4j.models.embed.OllamaEmbedResult;
 import io.github.ollama4j.models.generate.OllamaGenerateRequest;
 import io.github.ollama4j.models.generate.OllamaGenerateStreamObserver;
 import io.github.ollama4j.models.generate.OllamaGenerateTokenHandler;
-import io.github.ollama4j.models.ps.ModelProcessesResponse;
+import io.github.ollama4j.models.ps.ModelProcessesResult;
 import io.github.ollama4j.models.request.*;
 import io.github.ollama4j.models.response.*;
 import io.github.ollama4j.tools.*;
@@ -186,10 +186,10 @@ public class OllamaAPI {
     /**
      * Provides a list of running models and details about each model currently loaded into memory.
      *
-     * @return ModelsProcessResponse containing details about the running models
+     * @return ModelsProcessResult containing details about the running models
      * @throws OllamaException if the response indicates an error status
      */
-    public ModelProcessesResponse ps() throws OllamaException {
+    public ModelProcessesResult ps() throws OllamaException {
         long startTime = System.currentTimeMillis();
         String url = "/api/ps";
         int statusCode = -1;
@@ -217,7 +217,7 @@ public class OllamaAPI {
             String responseString = response.body();
             if (statusCode == 200) {
                 return Utils.getObjectMapper()
-                        .readValue(responseString, ModelProcessesResponse.class);
+                        .readValue(responseString, ModelProcessesResult.class);
             } else {
                 throw new OllamaException(statusCode + " - " + responseString);
             }
@@ -719,7 +719,7 @@ public class OllamaAPI {
      * @return embeddings
      * @throws OllamaException if the response indicates an error status
      */
-    public OllamaEmbedResponse embed(OllamaEmbedRequest modelRequest) throws OllamaException {
+    public OllamaEmbedResult embed(OllamaEmbedRequest modelRequest) throws OllamaException {
         long startTime = System.currentTimeMillis();
         String url = "/api/embed";
         int statusCode = -1;
@@ -739,7 +739,7 @@ public class OllamaAPI {
             statusCode = response.statusCode();
             String responseBody = response.body();
             if (statusCode == 200) {
-                return Utils.getObjectMapper().readValue(responseBody, OllamaEmbedResponse.class);
+                return Utils.getObjectMapper().readValue(responseBody, OllamaEmbedResult.class);
             } else {
                 throw new OllamaException(statusCode + " - " + responseBody);
             }

src/main/java/io/github/ollama4j/models/embed/OllamaEmbedResult.java

@@ -14,7 +14,7 @@ import lombok.Data;
 
 @SuppressWarnings("unused")
 @Data
-public class OllamaEmbedResponse {
+public class OllamaEmbedResult {
     @JsonProperty("model")
     private String model;
 

src/main/java/io/github/ollama4j/models/ps/ModelProcessesResult.java

@@ -17,7 +17,7 @@ import lombok.NoArgsConstructor;
 @Data
 @NoArgsConstructor
 @JsonIgnoreProperties(ignoreUnknown = true)
-public class ModelProcessesResponse {
+public class ModelProcessesResult {
     @JsonProperty("models")
     private List<ModelProcess> models;
 

src/test/java/io/github/ollama4j/integrationtests/OllamaAPIIntegrationTest.java

@@ -16,7 +16,7 @@ import io.github.ollama4j.impl.ConsoleOutputChatTokenHandler;
 import io.github.ollama4j.impl.ConsoleOutputGenerateTokenHandler;
 import io.github.ollama4j.models.chat.*;
 import io.github.ollama4j.models.embed.OllamaEmbedRequest;
-import io.github.ollama4j.models.embed.OllamaEmbedResponse;
+import io.github.ollama4j.models.embed.OllamaEmbedResult;
 import io.github.ollama4j.models.generate.OllamaGenerateRequest;
 import io.github.ollama4j.models.generate.OllamaGenerateRequestBuilder;
 import io.github.ollama4j.models.generate.OllamaGenerateStreamObserver;
@@ -234,7 +234,7 @@ class OllamaAPIIntegrationTest {
         OllamaEmbedRequest m = new OllamaEmbedRequest();
         m.setModel(EMBEDDING_MODEL);
         m.setInput(Arrays.asList("Why is the sky blue?", "Why is the grass green?"));
-        OllamaEmbedResponse embeddings = api.embed(m);
+        OllamaEmbedResult embeddings = api.embed(m);
         assertNotNull(embeddings, "Embeddings should not be null");
         assertFalse(embeddings.getEmbeddings().isEmpty(), "Embeddings should not be empty");
     }
@@ -1333,7 +1333,7 @@ class OllamaAPIIntegrationTest {
         requestModel.setInput(
                 Collections.singletonList("This is a single test sentence for embedding."));
 
-        OllamaEmbedResponse embeddings = api.embed(requestModel);
+        OllamaEmbedResult embeddings = api.embed(requestModel);
 
         assertNotNull(embeddings);
         assertFalse(embeddings.getEmbeddings().isEmpty());

src/test/java/io/github/ollama4j/unittests/TestMockedAPIs.java

@@ -17,7 +17,7 @@ import io.github.ollama4j.exceptions.OllamaException;
 import io.github.ollama4j.exceptions.RoleNotFoundException;
 import io.github.ollama4j.models.chat.OllamaChatMessageRole;
 import io.github.ollama4j.models.embed.OllamaEmbedRequest;
-import io.github.ollama4j.models.embed.OllamaEmbedResponse;
+import io.github.ollama4j.models.embed.OllamaEmbedResult;
 import io.github.ollama4j.models.generate.OllamaGenerateRequest;
 import io.github.ollama4j.models.generate.OllamaGenerateRequestBuilder;
 import io.github.ollama4j.models.generate.OllamaGenerateStreamObserver;
@@ -112,7 +112,7 @@ class TestMockedAPIs {
             OllamaEmbedRequest m = new OllamaEmbedRequest();
             m.setModel(model);
             m.setInput(List.of(prompt));
-            when(ollamaAPI.embed(m)).thenReturn(new OllamaEmbedResponse());
+            when(ollamaAPI.embed(m)).thenReturn(new OllamaEmbedResult());
             ollamaAPI.embed(m);
             verify(ollamaAPI, times(1)).embed(m);
         } catch (OllamaException e) {
@@ -127,7 +127,7 @@ class TestMockedAPIs {
         List<String> inputs = List.of("some prompt text");
         try {
             OllamaEmbedRequest m = new OllamaEmbedRequest(model, inputs);
-            when(ollamaAPI.embed(m)).thenReturn(new OllamaEmbedResponse());
+            when(ollamaAPI.embed(m)).thenReturn(new OllamaEmbedResult());
             ollamaAPI.embed(m);
             verify(ollamaAPI, times(1)).embed(m);
         } catch (OllamaException e) {
@@ -142,7 +142,7 @@ class TestMockedAPIs {
         List<String> inputs = List.of("some prompt text");
         try {
             when(ollamaAPI.embed(new OllamaEmbedRequest(model, inputs)))
-                    .thenReturn(new OllamaEmbedResponse());
+                    .thenReturn(new OllamaEmbedResult());
             ollamaAPI.embed(new OllamaEmbedRequest(model, inputs));
             verify(ollamaAPI, times(1)).embed(new OllamaEmbedRequest(model, inputs));
         } catch (OllamaException e) {