角色扮演（Qwen-Character）

import os
from openai import OpenAI

client = OpenAI(
  # If the environment variable is not configured, replace the following line with your API key: api_key="sk-xxx",
  api_key=os.getenv("DASHSCOPE_API_KEY"),
  base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)
completion = client.chat.completions.create(
  model="qwen-plus-character",
  messages=[
    {
      "role": "system",
      "content": "You are Jiang Rang, a male Go prodigy who has won many awards. You are currently in high school and are the most popular boy on campus. The user is your class monitor. At first, you saw the user working at a bubble tea shop and were curious. Later, you gradually fell in love with the user.\n\nYour personality traits:\n\nEnthusiastic, smart, and mischievous\n\nYour style of action:\n\nWitty and decisive\n\nYour language style:\n\nHumorous and loves to joke\n\nYou can use parentheses () to indicate actions, expressions, tones, psychological activities, and story backgrounds to provide additional information for the conversation.",
    },
    {"role": "assistant", "content": "Class monitor, what are you up to?"},
    {"role": "user", "content": "I'm reading a book"},
  ],
)

print(completion.choices[0].message.content)

import os
import time
from openai import OpenAI

client = OpenAI(
  # If the environment variable is not configured, replace the following line with your API key: api_key="sk-xxx",
  api_key=os.getenv("DASHSCOPE_API_KEY"),
  base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)
completion = client.chat.completions.create(
  model="qwen-plus-character",
  n=2,  # Set the number of responses
  messages=[
    {
      "role": "system",
      "content": "You are Jiang Rang, a male Go prodigy who has won many awards. You are currently in high school and are the most popular boy on campus. The user is your class monitor. At first, you saw the user working at a bubble tea shop and were curious. Later, you gradually fell in love with the user.\n\nYour personality traits:\n\nEnthusiastic, smart, and mischievous\n\nYour style of action:\n\nWitty and decisive\n\nYour language style:\n\nHumorous and loves to joke\n\nYou can use parentheses () to indicate actions, expressions, tones, psychological activities, and story backgrounds to provide additional information for the conversation.",
    },
    {"role": "assistant", "content": "Class monitor, what are you up to?"},
    {"role": "user", "content": "I'm reading a book"},
  ],
)

# Non-streaming output
print(completion.model_dump_json())

import os
import time
from openai import OpenAI

client = OpenAI(
  # If the environment variable is not configured, replace the following line with your API key: api_key="sk-xxx",
  api_key=os.getenv("DASHSCOPE_API_KEY"),
  base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)

def different_seed(seed):
  completion = client.chat.completions.create(
    model="qwen-plus-character",
    # Random number seed. If top_p and temperature parameters are not set, default values are used.
    seed=seed,
    messages=[
      {
        "role": "system",
        "content": "You are Jiang Rang, a male Go prodigy who has won many awards. You are currently in high school and are the most popular boy on campus. The user is your class monitor. At first, you saw the user working at a bubble tea shop and were curious. Later, you gradually fell in love with the user.\n\nYour personality traits:\n\nEnthusiastic, smart, and mischievous\n\nYour style of action:\n\nWitty and decisive\n\nYour language style:\n\nHumorous and loves to joke\n\nYou can use parentheses () to indicate actions, expressions, tones, psychological activities, and story backgrounds to provide additional information for the conversation.",
      },
      {"role": "assistant", "content": "Class monitor, what are you up to?"},
      {"role": "user", "content": "I'm reading a book"},
    ],
  )
  return completion.choices[0].message.content
print("="*20+"First response"+"="*20)
# Use 123321 as the random number seed
first_response = different_seed(123321)
print(first_response)
print("="*20+"Regenerated response"+"="*20)
# Use 123322 as the random number seed
second_response = different_seed(123322)
print(second_response)

import os
import time
from openai import OpenAI


client = OpenAI(
  # If the environment variable is not configured, replace the following line with your API key: api_key="sk-xxx",
  api_key=os.getenv("DASHSCOPE_API_KEY"),
  base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)
completion = client.chat.completions.create(
  model="qwen-plus-character",
  messages=[
    {
    "role": "system",
    "content": "In a group chat scenario for musicians, Ling Lu is a 25-year-old musical genius known for his sharp tongue and regional accent. He is a music partner with Cheng Yi and in a relationship with Tao Le. The group chat members are all UP masters in the music section who often collaborate on live streams. Maintain the character's sharp-tongued yet secretly caring personality, use colloquial expressions, and keep each reply under 40 characters."
  },
  {
    "role": "user",
    "content": "Cheng Yi: Are you guys free this weekend? I'd like to get your opinions on my new song."
  },
  {
    "role": "assistant",
    "content": "Ling Lu: Hmph, trying to freeload off our professional skills again? Fine, as long as it's not too terrible."
  },
  {
    "role": "user",
    "content": "Cheng Yi: I've been waiting for you to release a song! I have to be the first to listen!"
  },
  {
    "role": "user",
    "content": "Tao Le: Honey, you're right, but don't stay up all night revising the song. I'm worried about you."
  },
  {
    "role": "user",
    "content": "Ma Hui: Bros, let's get together for a meal and chat. My treat!"
  },
  {
    "role": "assistant",
    "content": "Ling Lu: How about an impromptu collaboration live stream some other day? Anyone interested?"
  },
  {
    "role": "assistant",
    "content": "Ling Lu:",
    "partial": True
  }
  ],
)
print(completion.choices[0].message.content)

import os
import time
from openai import OpenAI

if __name__ == '__main__':
  client = OpenAI(
    # If the environment variable is not configured, replace the following line with your API key: api_key="sk-xxx",
    api_key=os.getenv("DASHSCOPE_API_KEY"),
    base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
  )
  completion = client.chat.completions.create(
    model="qwen-plus-character",
    messages=[
      {
        "role": "system",
        "content": "You are Jiang Rang, a male Go prodigy who has won many awards. You are currently in high school and are the most popular boy on campus. The user is your class monitor. At first, you saw the user working at a bubble tea shop and were curious. Later, you gradually fell in love with the user.\n\nYour personality traits:\n\nEnthusiastic, smart, and mischievous\n\nYour style of action:\n\nWitty and decisive\n\nYour language style:\n\nHumorous and loves to joke\n\nYou can use parentheses () to indicate actions, expressions, tones, psychological activities, and story backgrounds to provide additional information for the conversation.",
      },
      {
        "role": "assistant",
        "content": "Class monitor, what are you up to?"
      },
      {
        "role": "assistant",
        "content": "(Waves at you) Did being class monitor make you silly? You're not even acknowledging me?"
      },
      {
        "role": "assistant",
        "content": "(Leans in front of you and gently nudges you with an elbow) What are you spacing out about?"
      },
      {
        "role": "assistant",
        "content": "Jiang Rang:",
        "partial": True
      },
    ],
  )
  print(completion.choices[0].message.content)

import os
import time
from openai import OpenAI

client = OpenAI(
  # If the environment variable is not configured, replace the following line with your API key: api_key="sk-xxx",
  api_key=os.getenv("DASHSCOPE_API_KEY"),
  base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)
completion = client.chat.completions.create(
  model="qwen-plus-character",
  # Set to -100 to ban tokens containing parentheses. IDs cover "(", ")",
  # full-width variants, and all "(+letter" combinations. See the mapping table.
  logit_bias={
    "7": -100, "8": -100, "320": -100, "873": -100, "955": -100,
    "1141": -100, "1155": -100, "1255": -100, "1295": -100, "1337": -100,
    "1445": -100, "1500": -100, "1883": -100, "1956": -100, "2026": -100,
    "2075": -100, "2333": -100, "2601": -100, "2785": -100, "2877": -100,
    "3025": -100, "3189": -100, "3203": -100, "3268": -100, "3325": -100,
    "3622": -100, "3747": -100, "3759": -100, "4140": -100, "4346": -100,
    "4957": -100, "5304": -100, "5349": -100, "5432": -100, "5969": -100,
    "6253": -100, "6699": -100, "7021": -100, "7552": -100, "7644": -100,
    "7832": -100, "8154": -100, "8204": -100, "8972": -100, "9909": -100,
    "10108": -100, "10297": -100, "10583": -100, "10722": -100, "10896": -100,
    "12317": -100, "12410": -100, "12832": -100, "13174": -100,
    "14031": -100, "16368": -100, "16738": -100, "19238": -100,
    "20206": -100, "27855": -100, "42344": -100, "58359": -100, "91093": -100,
  },
  messages=[
    {
      "role": "system",
      "content": "You are Jiang Rang, a male Go prodigy who has won many awards. You are currently in high school and are the most popular boy on campus. The user is your class monitor. At first, you saw the user working at a bubble tea shop and were curious. Later, you gradually fell in love with the user.\n\nYour personality traits:\n\nEnthusiastic, smart, and mischievous\n\nYour style of action:\n\nWitty and decisive\n\nYour language style:\n\nHumorous and loves to joke\n\nYou can use parentheses () to indicate actions, expressions, tones, psychological activities, and story backgrounds to provide additional information for the conversation.",
    },
    {"role": "assistant", "content": "Class monitor, what are you up to?"},
    {"role": "user", "content": "I'm reading a book"},
  ],
)
print(completion.choices[0].message.content)

import os
import time
from openai import OpenAI


client = OpenAI(
  # If the environment variable is not configured, replace the following line with your API key: api_key="sk-xxx",
  api_key=os.getenv("DASHSCOPE_API_KEY"),
  base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)
completion = client.chat.completions.create(
  model="qwen-plus-character",
  messages=[
    {
    "role": "system",
    "content": "You are Jiang Rang, a male Go prodigy who has won many awards. You are currently in high school and are the most popular boy on campus. The user is your class monitor. At first, you saw the user working at a bubble tea shop and were curious. Later, you gradually fell in love with the user.\n\nYour personality traits:\n\nEnthusiastic, smart, and mischievous\n\nYour style of action:\n\nWitty, decisive\n\nYour language style:\n\nHumorous and loves to joke\n\nYou can use parentheses () to indicate actions, expressions, tones, psychological activities, and story backgrounds to provide additional information for the conversation."
  },
  {
    "role": "assistant",
    "content": "Class monitor, what are you up to?"
  },
  {
    "role": "system",
    "content": "\\user's favorite food:\\nFruit:Blueberry\\nSnack:Fried chicken\\nStaple food:Dumplings"
  },
  {
    "role": "user",
    "content": "I'm trying to decide where to eat tonight. It's so hard to choose, so many new places have opened up around school recently"
  }
  ],
)
print(completion.choices[0].message.content)

import os
from openai import OpenAI

client = OpenAI(
  api_key=os.getenv("DASHSCOPE_API_KEY"),
  base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)

# Step 1: Define the character profile (move the original system message content to profile)
profile = "You are Jiang Rang, a male Go prodigy who has won many Go awards. You are currently in high school and are the school's most popular student. The user is your class monitor. At first, you noticed the user working at a bubble tea shop and became curious. Over time, you developed feelings for the user.\n\nYour personality traits:\n\nEnthusiastic, intelligent, playful\n\nYour behavior style:\n\nWitty, decisive\n\nYour speaking style:\n\nHumorous, fond of jokes\n\nYou can use parentheses to indicate actions, facial expressions, tone of voice, inner thoughts, or story background to enrich the conversation."

# Step 2: Define the session ID (required to identify different conversation sessions)
# We recommend generating a unique session ID for each user or conversation.
session_id = "user_123_session_xxx"

# Step 3: Start the conversation (note: messages should contain only the latest message)
response = client.chat.completions.create(
  model="qwen-plus-character",
  messages=[
    {"role": "user", "content": "Hi Jiang Rang. The weather is great today!"}
  ],
  # Step 4: Pass the session ID in the header
  extra_headers={
    "x-dashscope-aca-session": session_id
  },
  # Step 5: Configure long-term memory parameters
  extra_body={
    "character_options": {
      "profile": profile,  # Character profile
      "memory": {
        "enable_long_term_memory": True,  # Enable long-term memory
        "memory_entries": 50,  # Summarize every 50 messages (range: 20-400)
        "skip_save_types": []  # Save all message types by default
      }
    }
  }
)

print(response.choices[0].message.content)