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язык_программирования_python
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язык_программирования_python [2026/10/09 17:40] val [request_to_my_ollama.py] |
язык_программирования_python [2026/10/12 11:15] (current) val [openai_request_to_llm.py] |
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| Line 499: | Line 499: | ||
| </code> | </code> | ||
| - | ==== request_to_my_ollama.py ==== | ||
| - | <code> | ||
| - | # apt install python3-openai | ||
| - | или | ||
| - | $ pip install openai | ||
| - | </code><code> | ||
| - | from openai import OpenAI | ||
| - | |||
| - | client = OpenAI( | ||
| - | base_url="http://val.bmstu.ru:8080/v1", | ||
| - | api_key="1234567890abcdefg" | ||
| - | ) | ||
| - | |||
| - | response = client.chat.completions.create( | ||
| - | model="ornith-1.5:9b", | ||
| - | messages=[ | ||
| - | {"role": "user", "content": "Привет! Напиши короткий приветственный текст."} | ||
| - | ], | ||
| - | temperature=0.7 | ||
| - | ) | ||
| - | |||
| - | print(response.choices[0].message.content) | ||
| - | </code> | ||
| ==== request_to_llm.py ==== | ==== request_to_llm.py ==== | ||
| Line 539: | Line 516: | ||
| sdk = AIStudio( | sdk = AIStudio( | ||
| folder_id=os.getenv("YANDEX_FOLDER_ID"), | folder_id=os.getenv("YANDEX_FOLDER_ID"), | ||
| - | auth=os.getenv("YANDEX_API_KEY") | + | auth=os.getenv("API_KEY") |
| ) | ) | ||
| messages = [{"role": "system", "text": system_prompt}] | messages = [{"role": "system", "text": system_prompt}] | ||
| Line 586: | Line 563: | ||
| <code> | <code> | ||
| $ pip install openai | $ pip install openai | ||
| + | или | ||
| + | # apt install python3-openai | ||
| export BASE_URL=http://val.bmstu.ru:8080/v1 | export BASE_URL=http://val.bmstu.ru:8080/v1 | ||
| Line 628: | Line 607: | ||
| if __name__ == "__main__": | if __name__ == "__main__": | ||
| - | system_prompt = ( | + | # Можно взять из request_to_llm.py |
| - | "Ты — ассистент.\n" | + | # или |
| - | "Отвечай кратко.\n" | + | # system_prompt в 1-м агрументе, user_request в stdin, chat_context пустой |
| - | ) | + | |
| + | system_prompt = sys.argv[1] | ||
| chat_context = [] | chat_context = [] | ||
| - | while True: | + | print("Введите запрос, для завершения нажмите Ctrl+D:", file=sys.stderr) |
| - | try: | + | user_request = sys.stdin.read() |
| - | user_request = input("Введите ваш вопрос: ") | + | |
| - | except (KeyboardInterrupt, EOFError): | + | |
| - | print("\nСессия завершена!") | + | |
| - | sys.exit(0) | + | |
| - | reply_text = request_to_llm(user_request, system_prompt, chat_context) | + | reply_text = request_to_llm(user_request, system_prompt, chat_context) |
| - | print(reply_text) | + | print(reply_text) |
| + | </code> | ||
| - | chat_context.append({"role": "user", "content": user_request}) | + | ==== request_to_my_ollama.py ==== |
| - | chat_context.append({"role": "assistant", "content": reply_text}) | + | |
| - | </code> | + | * самый простой пример для желающих |
| + | |||
| + | <code> | ||
| + | # apt install python3-openai | ||
| + | или | ||
| + | $ pip install openai | ||
| + | </code><code> | ||
| + | from openai import OpenAI | ||
| + | client = OpenAI( | ||
| + | base_url="http://val.bmstu.ru:8080/v1", | ||
| + | api_key="1234567890abcdefg" | ||
| + | ) | ||
| + | |||
| + | print("Введите ваш запрос и нажмите Enter:") | ||
| + | user_prompt = input() | ||
| + | |||
| + | response = client.chat.completions.create( | ||
| + | model="ornith-1.5:9b", | ||
| + | messages=[ | ||
| + | {"role": "user", "content": user_prompt} | ||
| + | ], | ||
| + | temperature=0.7 | ||
| + | ) | ||
| + | |||
| + | print(response.choices[0].message.content) | ||
| + | </code> | ||
| ==== agent_rand_hello.py ==== | ==== agent_rand_hello.py ==== | ||
язык_программирования_python.1791556836.txt.gz · Last modified: 2026/10/09 17:40 by val
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