diff --git a/ollama-local/output/01-chat-reload-after-unload.txt b/ollama-local/output/01-chat-reload-after-unload.txt
index 17eadc2..54f9c1f 100644
--- a/ollama-local/output/01-chat-reload-after-unload.txt
+++ b/ollama-local/output/01-chat-reload-after-unload.txt
@@ -1,10 +1,10 @@
 /api/ps immediately after the unload call: {"models":[]}
 
 prompt: "Reply with a single short sentence: why do developers like small local models?"
-response: Developers often prefer small local models because they are more efficient, faster, and easier to deploy and train.
+response: Developers often appreciate small local models because they are more efficient and can provide quicker, more relevant results for their applications.
 
-total-duration: 901ms
-load-duration: 1ms
-prompt-eval-count: 44, prompt-eval-duration: 39ms
-eval-count: 23, eval-duration: 856ms
-26.87 tokens/sec (eval-count / eval-duration)
\ No newline at end of file
+total-duration: 1076ms
+load-duration: 2ms
+prompt-eval-count: 44, prompt-eval-duration: 41ms
+eval-count: 27, eval-duration: 1028ms
+26.25 tokens/sec (eval-count / eval-duration)
\ No newline at end of file
diff --git a/ollama-local/output/02-chat-back-to-back-call.txt b/ollama-local/output/02-chat-back-to-back-call.txt
index 8970e73..a27b401 100644
--- a/ollama-local/output/02-chat-back-to-back-call.txt
+++ b/ollama-local/output/02-chat-back-to-back-call.txt
@@ -1,8 +1,8 @@
 prompt: "Reply with a single short sentence: what is Testcontainers for?"
-response: Testcontainers is a popular containerization platform that makes it easy to create and manage application containers for testing, development, and production environments.
+response: Testcontainers is a containerization platform that simplifies the process of building and deploying applications quickly and efficiently.
 
-total-duration: 722ms
+total-duration: 662ms
 load-duration: 2ms
-prompt-eval-count: 42, prompt-eval-duration: 61ms
-eval-count: 17, eval-duration: 653ms
-26.02 tokens/sec (eval-count / eval-duration)
\ No newline at end of file
+prompt-eval-count: 42, prompt-eval-duration: 47ms
+eval-count: 16, eval-duration: 607ms
+26.33 tokens/sec (eval-count / eval-duration)
\ No newline at end of file
diff --git a/ollama-local/src/test/java/com/ankurm/ollamalocal/LocalChatAndEmbeddingTest.java b/ollama-local/src/test/java/com/ankurm/ollamalocal/LocalChatAndEmbeddingTest.java
index c88c439..33b6fe6 100644
--- a/ollama-local/src/test/java/com/ankurm/ollamalocal/LocalChatAndEmbeddingTest.java
+++ b/ollama-local/src/test/java/com/ankurm/ollamalocal/LocalChatAndEmbeddingTest.java
@@ -18,8 +18,6 @@ import org.testcontainers.utility.DockerImageName;
 
 import org.springframework.ai.chat.client.ChatClient;
 import org.springframework.ai.chat.metadata.ChatResponseMetadata;
-import org.springframework.ai.chat.model.ChatModel;
-import org.springframework.ai.chat.prompt.Prompt;
 import org.springframework.ai.embedding.EmbeddingModel;
 import org.springframework.ai.ollama.api.OllamaChatOptions;
 import org.springframework.beans.factory.annotation.Autowired;
@@ -61,9 +59,6 @@ class LocalChatAndEmbeddingTest {
 	@Autowired
 	private ChatClient chatClient;
 
-	@Autowired
-	private ChatModel chatModel;
-
 	@Autowired
 	private EmbeddingModel embeddingModel;
 
@@ -72,12 +67,13 @@ class LocalChatAndEmbeddingTest {
 	void reloadAfterAConfirmedUnload() throws Exception {
 		// keepAlive("0") tells Ollama to unload the model from memory as soon as this call
 		// finishes -- the same knob you'd reach for in production to free RAM/VRAM between
-		// bursts of traffic. It's set through ChatModel.call() with an explicit Prompt rather
-		// than through ChatClient.prompt().options(...): with this module's versions, an option
-		// set that way never reaches the request Ollama receives, which the going-deeper note
-		// below covers.
-		this.chatModel
-			.call(new Prompt("OK", OllamaChatOptions.builder().model("qwen2.5:0.5b").keepAlive("0").build()));
+		// bursts of traffic. Passed through ChatClient's per-call options() exactly like any
+		// other OllamaChatOptions field.
+		this.chatClient.prompt()
+			.user("OK")
+			.options(OllamaChatOptions.builder().model("qwen2.5:0.5b").keepAlive("0"))
+			.call()
+			.content();
 
 		// Don't take the unload on faith -- ask Ollama's own /api/ps, which lists every
 		// currently loaded model, and confirm the registry is really empty before measuring