Stream Mode

from openai import OpenAI

client = OpenAI(
    base_url='https://api.siliconflow.com/v1',
    api_key='your-api-key'
)

# Send a request with streaming output
response = client.chat.completions.create(
    model="deepseek-ai/DeepSeek-V2.5",
    messages=[
        {"role": "user", "content": "SiliconFlow public beta is online, giving each user 300 million tokens to unlock the innovative capabilities of open-source large models. What changes does this bring to the entire large model application field?"}
    ],
    stream=True  # Enable streaming output
)

# Gradually receive and process responses
for chunk in response:
    if not chunk.choices:
        continue
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
    if chunk.choices[0].delta.reasoning_content:
        print(chunk.choices[0].delta.reasoning_content, end="", flush=True)

from openai import OpenAI
import requests
import json
   
url = "https://api.siliconflow.com/v1/chat/completions"
   
payload = {
        "model": "deepseek-ai/DeepSeek-V2.5", # Replace with your model
        "messages": [
            {
                "role": "user",
                "content": "SiliconFlow public beta is online, giving each user 300 million tokens to unlock the innovative capabilities of open-source large models. What changes does this bring to the entire large model application field?"
            }
        ],
        "stream": True # Set to stream mode here
}

headers = {
        "accept": "application/json",
        "content-type": "application/json",
        "authorization": "Bearer your-api-key"
    }
   
response = requests.post(url, json=payload, headers=headers, stream=True) # Specify stream mode in the request here

# Print streaming return information
if response.status_code == 200:
    full_content = ""
    full_reasoning_content = ""

    for chunk in response.iter_lines():
        if chunk:
            chunk_str = chunk.decode('utf-8').replace('data: ', '')
            if chunk_str != "[DONE]":
                chunk_data = json.loads(chunk_str)
                delta = chunk_data['choices'][0].get('delta', {})
                content = delta.get('content', '')
                reasoning_content = delta.get('reasoning_content', '')
                if content:
                    print(content, end="", flush=True)
                    full_content += content
                if reasoning_content:
                    print(reasoning_content, end="", flush=True)
                    full_reasoning_content += reasoning_content
else:
    print(f"Request failed, status code: {response.status_code}")

curl -N -s \
  --request POST \
  --url https://api.siliconflow.com/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "Qwen/Qwen2.5-72B-Instruct",
    "messages": [
      {"role":"user","content":"Tell me a story"}
    ],
    "stream": true
}'