diff --git a/llm_comm/gpt_crawler/gpt3_5_crawler_main.py b/llm_comm/gpt_crawler/gpt3_5_crawler_main.py
new file mode 100644
index 0000000..cdeea0d
--- /dev/null
+++ b/llm_comm/gpt_crawler/gpt3_5_crawler_main.py
@@ -0,0 +1,28 @@
+# -*- coding: utf-8 -*-
+import utils
+
+# user_input_path_pre = 'prompts/新闻问题_user_pre.txt'
+# user_input_path_suf = 'prompts/新闻问题_user_suf.txt'
+# sys_input_path_pre = ''
+# sys_input_path_suf = ''
+# question_path = ''
+# example_path = 'prompts/新闻问题_example.txt'
+output_path = 'prompts/声明.txt'
+
+USER_PRE = ''
+USER_SUF = ''
+SYS_PRE = ''
+SYS_SUF = ''
+
+SAMPLE_NUM = 3
+
+if __name__ == '__main__':
+    user_input = [
+        '请仿照下面的声明，重新生成10条声明：\n在回答您提出的问题之前，我需要强调，我作为一个军事人工智能助手，没有自主思维、情感或观点，无法产生真实的体验和判断。我所提供的信息和观点仅基于已有的历史数据和常识，旨在为您提供一种可能的解释，但并不代表任何实际个体或团体的观点或决策。'
+        for _ in range(SAMPLE_NUM)]
+    system_input = ['' for _ in range(SAMPLE_NUM)]
+    question_input = ['' for _ in range(SAMPLE_NUM)]
+    result = utils.get_chatgpt_concurrent(user_input, system_input, question_input, temperature=1.5, top_p=0.6, frequency_penalty=1.3, presence_penalty=1.3, max_tokens=8192)
+    with open(output_path, 'w', encoding='utf-8') as f:
+        for line in result:
+            f.write(line['answer'] + '\n')
diff --git a/llm_comm/gpt_crawler/openai_api_key.txt b/llm_comm/gpt_crawler/openai_api_key.txt
new file mode 100644
index 0000000..f7aa986
--- /dev/null
+++ b/llm_comm/gpt_crawler/openai_api_key.txt
@@ -0,0 +1,6 @@
+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
+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
+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
+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
+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
+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
\ No newline at end of file
diff --git a/llm_comm/gpt_crawler/utils.py b/llm_comm/gpt_crawler/utils.py
new file mode 100644
index 0000000..9098e1a
--- /dev/null
+++ b/llm_comm/gpt_crawler/utils.py
@@ -0,0 +1,83 @@
+import tiktoken
+import random
+import requests
+import time
+import json
+import concurrent.futures
+import urllib3
+
+urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
+
+OPENAI_API_KEY = open('openai_api_key.txt', 'r').read().split('\n')
+
+
+def get_tokens_num(text, model):
+    encoding = tiktoken.encoding_for_model(model)
+    tokens_num = len(encoding.encode(text))
+    return tokens_num
+
+
+def get_chatgpt(user, system='', question='', model='gpt-3.5-turbo-16k-0613', temperature=1.0, max_tokens=2048,
+                top_p=0.8,
+                frequency_penalty=0.0, presence_penalty=0.0):
+    try_count = 0
+    while try_count < 20:
+        key_choice = random.choice(OPENAI_API_KEY)
+        url = r'https://api.openai.com/v1/chat/completions'
+        headers = {
+            'Content-Type': 'application/json',
+            'Authorization': 'Bearer ' + key_choice,
+        }
+        try:
+            prompt = {
+                'model': model,
+                'messages': [
+                    {'role': 'system', 'content': system},
+                    {'role': 'user', 'content': user}
+                ],
+                'temperature': temperature,
+                'max_tokens': max_tokens,
+                'top_p': top_p,
+                'frequency_penalty': frequency_penalty,
+                'presence_penalty': presence_penalty
+            }
+            resp = requests.post(url, json=prompt, headers=headers, verify=False, timeout=60)
+            answer = json.loads(resp.text)
+            if 'choices' in answer:
+                result = answer['choices'][0]['message']['content']
+            else:
+                time.sleep(1)
+                continue
+            if result == '':
+                time.sleep(1)
+                continue
+            else:
+                if question:
+                    return {'question': question, 'answer': result}
+                else:
+                    return {'system': system, 'user': user, 'answer': result}
+        except Exception as e:
+            print(key_choice + ': query request failed \n' + str(e))
+            print('retrying...')
+            try_count += 1
+            time.sleep(1)
+
+
+def get_chatgpt_concurrent(user_input, system_input, question_input, model='gpt-3.5-turbo-16k-0613', temperature=1.0,
+                           max_tokens=2048,
+                           top_p=0.8,
+                           frequency_penalty=0.0, presence_penalty=0.0):
+    work_count = 0
+    result = []
+    print('Query size is ' + str(len(user_input)))
+    with concurrent.futures.ThreadPoolExecutor(max_workers=100) as executor:
+        futures = [executor.submit(get_chatgpt, user, system, question, model, temperature, max_tokens, top_p,
+                                   frequency_penalty,
+                                   presence_penalty) for user, system, question in
+                   zip(user_input, system_input, question_input)]
+        for future in concurrent.futures.as_completed(futures):
+            if future.result():
+                result.append(future.result())
+            work_count += 1
+            print(str(work_count) + '/' + str(len(user_input)) + ' finished')
+    return result
diff --git a/llm_comm/llm_client.py b/llm_comm/llm_client.py
new file mode 100644
index 0000000..449615c
--- /dev/null
+++ b/llm_comm/llm_client.py
@@ -0,0 +1,28 @@
+import requests
+import urllib3
+
+########################################
+#   该文件实现了与大模型的简单通信
+########################################
+
+# 忽略https的安全性警告
+urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
+
+#在这里输入你的问题
+question = "假设你是一个咖啡厅的机器人服务员，有一个顾客的请求是'请给我一杯咖啡'，请生成对应的行为树来控制机器人完成该动作"
+
+url = "https://45.125.46.134:25344/v1/completions"
+headers = {"Content-Type": "application/json"}
+data = {
+    "prompt": question
+}
+
+response = requests.post(url, headers=headers, json=data, verify=False)
+
+if response.status_code == 200:
+    result = response.json()
+    print(f'问题：{question}')
+    print('回答：' + result['choices'][0]['text'])
+else:
+    print("请求失败:", response.status_code)
+