2 files changed, 48 insertions, 5 deletions
diff --git a/src/app/init.rs b/src/app/init.rs
index 201e79e..f1f917a 100644
--- a/src/app/init.rs
+++ b/src/app/init.rs
@@ -30,10 +30,24 @@ impl App {
         self.messages.push(message);
     }
 
+    fn categorize_ask(&mut self) {
+        let runtime = Builder::new_current_thread().enable_all().build().unwrap();
+
+        let result = runtime.block_on(async {
+            // Ask the LLM to categorise the request between (chat, code, wikipedia)
+            self.chat_llm.ask_format(&self.messages).await
+        });
+
+        let categorie = result.unwrap()[0]["function"]["arguments"]["category"].clone();
+
+        self.ask(categorie.to_string().as_str());
+    }
+
     fn ask(&mut self, mode: &str) {
         let runtime = Builder::new_current_thread()
             .enable_all()
             .build().unwrap();
+
         let result = runtime.block_on(async {
             if mode == "resume" {
                 self.resume_llm.ask(&self.messages).await
@@ -43,14 +57,14 @@ impl App {
         });
 
         match result {
-            Ok(msg) => self.append_message(msg, MessageType::ASSISTANT),
+            Ok(msg) => self.append_message(msg.to_string(), MessageType::ASSISTANT),
             Err(e) => self.append_message(e.to_string(), MessageType::ASSISTANT),
         }
     }
 
     pub fn send_message(&mut self, content: String) {
         self.append_message(content, MessageType::USER);
-        self.ask("chat");
+        self.categorize_ask();
     }
 
     pub fn resume_conv(&mut self) {
diff --git a/src/app/llm.rs b/src/app/llm.rs
index 9fc1b3a..a172855 100644
--- a/src/app/llm.rs
+++ b/src/app/llm.rs
@@ -11,6 +11,7 @@ pub struct LLM {
     url: String,
     model: String,
     pub system_prompt: String,
+    pub tools: serde_json::Value,
 }
 
 impl LLM {
@@ -27,9 +28,9 @@ impl LLM {
             .post(&self.url)
             .header(CONTENT_TYPE, "application/json")
             .json(&serde_json::json!({
-               "model": self.model,
-               "messages": messages,
-               "stream": true}))
+                "model": self.model,
+                "messages": messages,
+                "stream": true}))
             .send()
             .await?;
 
@@ -57,6 +58,34 @@ impl LLM {
         warn(full_message.clone());
         Ok(full_message)
     }
+
+    // Use tools functionnality of Ollama, only some models supports it:
+    // https://ollama.com/search?c=tools
+    pub async fn ask_format(&self, messages: &Vec<Message>) -> Result<serde_json::Value, Box<dyn std::error::Error>> {
+        let client = Client::new();
+        let response = client
+            .post(&self.url)
+            .header(CONTENT_TYPE, "application/json")
+            .json(&serde_json::json!({
+                "model": self.model,
+                "messages": messages,
+                "stream": false,
+                "tools": self.tools}))
+            .send()
+            .await?.json::<Value>().await?;
+
+        warn(response.to_string());
+
+        if let Some(tool_calls) = response
+            .get("message")
+                .and_then(|msg| msg.get("tool_calls"))
+                .cloned()
+        {
+            Ok(tool_calls)
+        } else {
+            Err("tool_calls not found".into())
+        }
+    }
 }
 
 #[derive(Debug, Serialize, Clone)]