diff --git a/main.js b/main.js
index f874773..e2895b1 100644
--- a/main.js
+++ b/main.js
@@ -11737,7 +11737,15 @@ var ChatView = class extends import_obsidian5.ItemView {
     }
     return baseMessages;
   }
-  async processToolCalls(toolCalls, messages, tools, fullResponse, assistantMessageId) {
+  async processToolCalls(toolCalls, messages, tools, fullResponse, assistantMessageId, depth = 0) {
+    if (depth >= MAX_TOOL_CALL_DEPTH) {
+      this.updateMessageById(assistantMessageId, {
+        content: fullResponse || "(No response)",
+        isStreaming: false,
+        isThinking: false
+      });
+      return;
+    }
     const readToolCalls = toolCalls.filter((tc) => !isWriteTool(tc.function?.name ?? ""));
     const writeToolCalls = toolCalls.filter((tc) => isWriteTool(tc.function?.name ?? ""));
     const readResults = (await Promise.all(
@@ -11806,21 +11814,34 @@ ${writePreviews.map((a) => `- ${a.description}`).join("\n")}`,
       const followUpStartTime = Date.now();
       const response = await this.getActiveOllamaClient().chat(finalMessages, tools);
       const followUpDurationMs = Date.now() - followUpStartTime;
-      const finalResponse = response.content || fullResponse;
-      this.updateMessageById(assistantMessageId, {
-        content: finalResponse,
-        isStreaming: false,
-        isThinking: false
-      });
+      const followUpContent = response.content ?? "";
+      const followUpToolCalls = response.tool_calls ?? [];
       this.telemetryManager?.recordLlmCall({
         model: this.getActiveModel(),
         promptTokens: Math.round(finalMessages.reduce((sum, m) => sum + m.content.length, 0) / 4),
-        completionTokens: Math.round(finalResponse.length / 4),
+        completionTokens: Math.round(followUpContent.length / 4),
         totalTokens: Math.round(
-          (finalMessages.reduce((sum, m) => sum + m.content.length, 0) + finalResponse.length) / 4
+          (finalMessages.reduce((sum, m) => sum + m.content.length, 0) + followUpContent.length) / 4
         ),
         durationMs: followUpDurationMs
       });
+      if (followUpToolCalls.length > 0) {
+        this.showActivityIndicator("Using tools\u2026");
+        await this.processToolCalls(
+          followUpToolCalls,
+          finalMessages,
+          tools,
+          followUpContent,
+          assistantMessageId,
+          depth + 1
+        );
+      } else {
+        this.updateMessageById(assistantMessageId, {
+          content: followUpContent || fullResponse,
+          isStreaming: false,
+          isThinking: false
+        });
+      }
     } else {
       this.updateMessageById(assistantMessageId, {
         content: fullResponse || "No tool results to report.",
@@ -11861,29 +11882,43 @@ ${writePreviews.map((a) => `- ${a.description}`).join("\n")}`,
       const followUpStartTime = Date.now();
       const response = await this.getActiveOllamaClient().chat(finalMessages, tools);
       const followUpDurationMs = Date.now() - followUpStartTime;
-      const finalResponse = response.content || "Actions applied successfully.";
-      this.updateMessageById(assistantMessageId, {
-        content: finalResponse,
-        isStreaming: false,
-        isThinking: false
-      });
+      const followUpContent = response.content ?? "";
+      const followUpToolCalls = response.tool_calls ?? [];
       this.telemetryManager?.recordLlmCall({
         model: this.getActiveModel(),
         promptTokens: Math.round(finalMessages.reduce((sum, m) => sum + m.content.length, 0) / 4),
-        completionTokens: Math.round(finalResponse.length / 4),
+        completionTokens: Math.round(followUpContent.length / 4),
         totalTokens: Math.round(
-          (finalMessages.reduce((sum, m) => sum + m.content.length, 0) + finalResponse.length) / 4
+          (finalMessages.reduce((sum, m) => sum + m.content.length, 0) + followUpContent.length) / 4
         ),
         durationMs: followUpDurationMs
       });
+      this.clearPendingActions();
+      if (followUpToolCalls.length > 0) {
+        this.showActivityIndicator("Using tools\u2026");
+        await this.processToolCalls(
+          followUpToolCalls,
+          finalMessages,
+          tools,
+          followUpContent,
+          assistantMessageId,
+          1
+        );
+      } else {
+        this.updateMessageById(assistantMessageId, {
+          content: followUpContent || "Actions applied successfully.",
+          isStreaming: false,
+          isThinking: false
+        });
+      }
     } else {
       this.updateMessageById(assistantMessageId, {
         content: "Actions applied successfully.",
         isStreaming: false,
         isThinking: false
       });
+      this.clearPendingActions();
     }
-    this.clearPendingActions();
     this.render();
   }
   cancelPendingActions() {
@@ -12460,6 +12495,7 @@ ${actualMessage}` : actualMessage;
   }
 };
 var MAX_TOOL_CALLS = 5;
+var MAX_TOOL_CALL_DEPTH = 5;
 
 // src/constants.ts
 var DEFAULT_SETTINGS = {
diff --git a/src/chat-view.ts b/src/chat-view.ts
index 5555120..a8fb000 100755
--- a/src/chat-view.ts
+++ b/src/chat-view.ts
@@ -970,8 +970,18 @@ export class ChatView extends ItemView {
     messages: OllamaMessage[],
     tools: OllamaTool[],
     fullResponse: string,
-    assistantMessageId: string
+    assistantMessageId: string,
+    depth = 0
   ): Promise<void> {
+    if (depth >= MAX_TOOL_CALL_DEPTH) {
+      this.updateMessageById(assistantMessageId, {
+        content: fullResponse || '(No response)',
+        isStreaming: false,
+        isThinking: false,
+      });
+      return;
+    }
+
     const readToolCalls = toolCalls.filter((tc) => !isWriteTool(tc.function?.name ?? ''));
     const writeToolCalls = toolCalls.filter((tc) => isWriteTool(tc.function?.name ?? ''));
 
@@ -1055,23 +1065,38 @@ export class ChatView extends ItemView {
       const followUpStartTime = Date.now();
       const response = await this.getActiveOllamaClient().chat(finalMessages, tools);
       const followUpDurationMs = Date.now() - followUpStartTime;
-      const finalResponse = response.content || fullResponse;
-      this.updateMessageById(assistantMessageId, {
-        content: finalResponse,
-        isStreaming: false,
-        isThinking: false,
-      });
+      const followUpContent = response.content ?? '';
+      const followUpToolCalls = response.tool_calls ?? [];
 
       // Record follow-up LLM call telemetry
       this.telemetryManager?.recordLlmCall({
         model: this.getActiveModel(),
         promptTokens: Math.round(finalMessages.reduce((sum, m) => sum + m.content.length, 0) / 4),
-        completionTokens: Math.round(finalResponse.length / 4),
+        completionTokens: Math.round(followUpContent.length / 4),
         totalTokens: Math.round(
-          (finalMessages.reduce((sum, m) => sum + m.content.length, 0) + finalResponse.length) / 4
+          (finalMessages.reduce((sum, m) => sum + m.content.length, 0) + followUpContent.length) / 4
         ),
         durationMs: followUpDurationMs,
       });
+
+      if (followUpToolCalls.length > 0) {
+        // LLM wants another round of tool use — recurse rather than discarding these calls
+        this.showActivityIndicator('Using tools…');
+        await this.processToolCalls(
+          followUpToolCalls,
+          finalMessages,
+          tools,
+          followUpContent,
+          assistantMessageId,
+          depth + 1
+        );
+      } else {
+        this.updateMessageById(assistantMessageId, {
+          content: followUpContent || fullResponse,
+          isStreaming: false,
+          isThinking: false,
+        });
+      }
     } else {
       // No tool results to follow up on — all tools failed or produced no output
       this.updateMessageById(assistantMessageId, {
@@ -1123,32 +1148,49 @@ export class ChatView extends ItemView {
       const followUpStartTime = Date.now();
       const response = await this.getActiveOllamaClient().chat(finalMessages, tools);
       const followUpDurationMs = Date.now() - followUpStartTime;
-      const finalResponse = response.content || 'Actions applied successfully.';
-      this.updateMessageById(assistantMessageId, {
-        content: finalResponse,
-        isStreaming: false,
-        isThinking: false,
-      });
+      const followUpContent = response.content ?? '';
+      const followUpToolCalls = response.tool_calls ?? [];
 
       // Record follow-up LLM call telemetry
       this.telemetryManager?.recordLlmCall({
         model: this.getActiveModel(),
         promptTokens: Math.round(finalMessages.reduce((sum, m) => sum + m.content.length, 0) / 4),
-        completionTokens: Math.round(finalResponse.length / 4),
+        completionTokens: Math.round(followUpContent.length / 4),
         totalTokens: Math.round(
-          (finalMessages.reduce((sum, m) => sum + m.content.length, 0) + finalResponse.length) / 4
+          (finalMessages.reduce((sum, m) => sum + m.content.length, 0) + followUpContent.length) / 4
         ),
         durationMs: followUpDurationMs,
       });
+
+      this.clearPendingActions();
+
+      if (followUpToolCalls.length > 0) {
+        // LLM wants more tool calls after applying — hand off to processToolCalls
+        this.showActivityIndicator('Using tools…');
+        await this.processToolCalls(
+          followUpToolCalls,
+          finalMessages,
+          tools,
+          followUpContent,
+          assistantMessageId,
+          1
+        );
+      } else {
+        this.updateMessageById(assistantMessageId, {
+          content: followUpContent || 'Actions applied successfully.',
+          isStreaming: false,
+          isThinking: false,
+        });
+      }
     } else {
       this.updateMessageById(assistantMessageId, {
         content: 'Actions applied successfully.',
         isStreaming: false,
         isThinking: false,
       });
+      this.clearPendingActions();
     }
 
-    this.clearPendingActions();
     this.render();
   }
 
@@ -1919,3 +1961,4 @@ export class ChatView extends ItemView {
 }
 
 const MAX_TOOL_CALLS = 5;
+const MAX_TOOL_CALL_DEPTH = 5;
diff --git a/styles.css b/styles.css
index 8f1cbd4..c529f2a 100644
--- a/styles.css
+++ b/styles.css
@@ -21,7 +21,8 @@
 
 .ollama-new-chat-container {
   display: flex;
-  justify-content: flex-end;
+  flex-wrap: wrap;
+  justify-content: flex-start;
   align-items: center;
   gap: var(--size-4-1);
   padding: var(--size-4-1) var(--size-4-2);