diff --git a/.changeset/new-knives-thank.md b/.changeset/new-knives-thank.md
new file mode 100644
index 0000000..8619c95
--- /dev/null
+++ b/.changeset/new-knives-thank.md
@@ -0,0 +1,5 @@
+---
+'function-gpt': minor
+---
+
+support execute_only mode
diff --git a/src/session.ts b/src/session.ts
index 1be6b53..d4792dc 100644
--- a/src/session.ts
+++ b/src/session.ts
@@ -74,12 +74,20 @@ export type ChatGPTSessionMessage = {
 };
 
 export type ChatGPTSendMessageOptions = {
+  /**
+   * Stop the session after executing the function call.
+   * Useful when you don't need to give ChatGPT the result of the function call.
+   * Defaults to `false`.
+   */
+  function_call_execute_only?: boolean;
+
   /**
    * ID of the model to use. See the
    * [model endpoint compatibility](/docs/models/model-endpoint-compatibility) table
    * for details on which models work with the Chat API.
    */
   model: string;
+
   /**
    * Number between -2.0 and 2.0. Positive values penalize new tokens based on their
    * existing frequency in the text so far, decreasing the model's likelihood to
@@ -88,6 +96,7 @@ export type ChatGPTSendMessageOptions = {
    * [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details)
    */
   frequency_penalty?: number | null;
+
   /**
    * Controls how the model responds to function calls. "none" means the model does
    * not call a function, and responds to the end-user. "auto" means the model can
@@ -97,6 +106,7 @@ export type ChatGPTSendMessageOptions = {
    * are present.
    */
   function_call?: 'none' | 'auto' | { name: string };
+
   /**
    * Modify the likelihood of specified tokens appearing in the completion.
    *
@@ -108,6 +118,7 @@ export type ChatGPTSendMessageOptions = {
    * or exclusive selection of the relevant token.
    */
   logit_bias?: Record<string, number> | null;
+
   /**
    * The maximum number of [tokens](/tokenizer) to generate in the chat completion.
    *
@@ -117,6 +128,7 @@ export type ChatGPTSendMessageOptions = {
    * for counting tokens.
    */
   max_tokens?: number;
+
   /**
    * Number between -2.0 and 2.0. Positive values penalize new tokens based on
    * whether they appear in the text so far, increasing the model's likelihood to
@@ -125,10 +137,12 @@ export type ChatGPTSendMessageOptions = {
    * [See more information about frequency and presence penalties.](/docs/api-reference/parameter-details)
    */
   presence_penalty?: number | null;
+
   /**
    * Up to 4 sequences where the API will stop generating further tokens.
    */
   stop?: string | null | Array<string>;
+
   /**
    * What sampling temperature to use, between 0 and 2. Higher values like 0.8 will
    * make the output more random, while lower values like 0.2 will make it more
@@ -232,6 +246,10 @@ export class ChatGPTSession {
         content: JSON.stringify(resultValue),
       });
 
+      if (options.function_call_execute_only) {
+        return '';
+      }
+
       const response = await this.openai.chat.completions.create({
         ...options,
         messages: this.sessionMessages,
diff --git a/tests/session.test.ts b/tests/session.test.ts
index 8fd47b3..7b80e46 100644
--- a/tests/session.test.ts
+++ b/tests/session.test.ts
@@ -66,12 +66,6 @@ test('function calling should work', async () => {
   }
 
   class BrowseSession extends ChatGPTSession {
-    constructor() {
-      super({
-        apiKey: '<MY_OPENAI_API_KEY>',
-      });
-    }
-
     @gptFunction('browse a web page and return its html content', BrowseParams)
     async browse(params: BrowseParams) {
       await fetch(params.url);
@@ -86,3 +80,29 @@ test('function calling should work', async () => {
   expect(fetch).toHaveBeenCalledTimes(1);
   expect(response).toEqual('this is a test response');
 });
+
+test('execute_only mode should work', async () => {
+  class BrowseParams {
+    @gptObjectField('string', 'url of the web page to browse', true)
+    public url: string = '';
+  }
+
+  class BrowseSession extends ChatGPTSession {
+    @gptFunction('browse a web page and return its html content', BrowseParams)
+    async browse(params: BrowseParams) {
+      await fetch(params.url);
+    }
+  }
+
+  const session = new BrowseSession();
+  const response = await session.send('this is a test message', {
+    model: 'gpt-3.5-turbo',
+    function_call_execute_only: true,
+  });
+
+  expect(OpenAI).toHaveBeenCalledTimes(1);
+  expect(session.openai.chat.completions.create).toHaveBeenCalledTimes(1);
+  expect(fetch).toHaveBeenCalledTimes(1);
+  expect(session.messages.length).toEqual(3);
+  expect(response).toEqual('');
+});