Update _posts/2025-05-08-agentic-ai-with-quarkus-p3.adoc

mariofusco · cescoffier · web-flow · commit caf24a9231fc · 2025-05-09T09:44:33.000+02:00
Co-authored-by: Clement Escoffier &lt;clement.escoffier@gmail.com&gt;
diff --git a/_posts/2025-05-08-agentic-ai-with-quarkus-p3.adoc b/_posts/2025-05-08-agentic-ai-with-quarkus-p3.adoc
@@ -77,7 +77,7 @@ public interface ExpertsSelectorAgent {
 }
 ----
 
-The `@ToolBox` annotation is used to specify the list of tools that the agent can use, in this case the three experts. Note that, similarly to what it has been done for other agentic examples in the previous post of this series, this AI service has been configured to use a model that in the `application.properties` file has been named "tool-use" which is more capable of using tools in a proper way, in this case `qwen2.5` with 7 billions of parameters.
+The `@ToolBox` annotation is used to specify the list of tools the agent can use, in this case, the three experts. Note that, similarly to what has been done for other agentic examples in the previous post of this series, this AI service has been configured to use a model capable of reasoning and requesting tool invocations. In our example, the model is configured in the `application.properties` file and is using  `qwen2.5` with 7 billion parameters.
 
 [source,properties]
 ----

Original file line number	Diff line number	Diff line change
`@@ -77,7 +77,7 @@ public interface ExpertsSelectorAgent {`
`77`	`77`	`}`
`78`	`78`	`----`
`79`	`79`
`80`		-The `@ToolBox` annotation is used to specify the list of tools that the agent can use, in this case the three experts. Note that, similarly to what it has been done for other agentic examples in the previous post of this series, this AI service has been configured to use a model that in the `application.properties` file has been named "tool-use" which is more capable of using tools in a proper way, in this case `qwen2.5` with 7 billions of parameters.
	`80`	+The `@ToolBox` annotation is used to specify the list of tools the agent can use, in this case, the three experts. Note that, similarly to what has been done for other agentic examples in the previous post of this series, this AI service has been configured to use a model capable of reasoning and requesting tool invocations. In our example, the model is configured in the `application.properties` file and is using `qwen2.5` with 7 billion parameters.
`81`	`81`
`82`	`82`	`[source,properties]`
`83`	`83`	`----`