البدء السريع

pip install openai

npm install openai

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("VENICE_API_KEY"),
    base_url="https://api.venice.ai/api/v1"
)

completion = client.chat.completions.create(
    model="zai-org-glm-5",
    messages=[
        {"role": "system", "content": "You are a helpful AI assistant"},
        {"role": "user", "content": "Why is privacy important?"}
    ]
)

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

import OpenAI from 'openai';

const client = new OpenAI({
    apiKey: process.env.VENICE_API_KEY,
    baseURL: 'https://api.venice.ai/api/v1'
});

const completion = await client.chat.completions.create({
    model: 'zai-org-glm-5',
    messages: [
        { role: 'system', content: 'You are a helpful AI assistant' },
        { role: 'user', content: 'Why is privacy important?' }
    ]
});

console.log(completion.choices[0].message.content);

curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zai-org-glm-5",
    "messages": [
      {"role": "system", "content": "You are a helpful AI assistant"},
      {"role": "user", "content": "Why is privacy important?"}
    ]
  }'

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("VENICE_API_KEY"),
    base_url="https://api.venice.ai/api/v1"
)

completion = client.chat.completions.create(
    model="zai-org-glm-5",
    messages=[
        {"role": "user", "content": "What are the latest developments in AI?"}
    ],
    extra_body={
        "venice_parameters": {
            "enable_web_search": "auto",
            "include_venice_system_prompt": True
        }
    }
)

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

import OpenAI from 'openai';

const client = new OpenAI({
    apiKey: process.env.VENICE_API_KEY,
    baseURL: 'https://api.venice.ai/api/v1'
});

const completion = await client.chat.completions.create({
    model: 'zai-org-glm-5',
    messages: [
        { role: 'user', content: 'What are the latest developments in AI?' }
    ],
    venice_parameters: {
        enable_web_search: 'auto',
        include_venice_system_prompt: true
    }
});

console.log(completion.choices[0].message.content);

curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zai-org-glm-5",
    "messages": [
      {"role": "user", "content": "What are the latest developments in AI?"}
    ],
    "venice_parameters": {
      "enable_web_search": "auto",
      "include_venice_system_prompt": true
    }
  }'

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("VENICE_API_KEY"),
    base_url="https://api.venice.ai/api/v1"
)

stream = client.chat.completions.create(
    model="zai-org-glm-5",
    messages=[{"role": "user", "content": "Write a short story about AI"}],
    stream=True
)

for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content is not None:
        print(chunk.choices[0].delta.content, end="")

import OpenAI from 'openai';

const client = new OpenAI({
    apiKey: process.env.VENICE_API_KEY,
    baseURL: 'https://api.venice.ai/api/v1'
});

const stream = await client.chat.completions.create({
    model: 'zai-org-glm-5',
    messages: [{ role: 'user', content: 'Write a short story about AI' }],
    stream: true
});

for await (const chunk of stream) {
    if (chunk.choices && chunk.choices[0]?.delta?.content) {
        process.stdout.write(chunk.choices[0].delta.content);
    }
}

curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zai-org-glm-5",
    "messages": [
      {"role": "user", "content": "Write a short story about AI"}
    ],
    "stream": true
  }'

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ.get("VENICE_API_KEY"),
    base_url="https://api.venice.ai/api/v1"
)

completion = client.chat.completions.create(
    model="zai-org-glm-5",
    messages=[
        {"role": "system", "content": "You are a creative storyteller"},
        {"role": "user", "content": "Tell me a creative story"}
    ],
    temperature=0.8,
    max_tokens=500,
    top_p=0.9,
    frequency_penalty=0.5,
    presence_penalty=0.5,
    extra_body={
        "venice_parameters": {
            "include_venice_system_prompt": False
        }
    }
)

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

import OpenAI from 'openai';

const client = new OpenAI({
    apiKey: process.env.VENICE_API_KEY,
    baseURL: 'https://api.venice.ai/api/v1'
});

const completion = await client.chat.completions.create({
    model: 'zai-org-glm-5',
    messages: [
        { role: 'system', content: 'You are a creative storyteller' },
        { role: 'user', content: 'Tell me a creative story' }
    ],
    temperature: 0.8,
    max_tokens: 500,
    top_p: 0.9,
    frequency_penalty: 0.5,
    presence_penalty: 0.5,
    venice_parameters: {
        include_venice_system_prompt: false
    }
});

console.log(completion.choices[0].message.content);

curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zai-org-glm-5",
    "messages": [
      {"role": "system", "content": "You are a creative storyteller"},
      {"role": "user", "content": "Tell me a creative story"}
    ],
    "temperature": 0.8,
    "max_tokens": 500,
    "top_p": 0.9,
    "frequency_penalty": 0.5,
    "presence_penalty": 0.5,
    "stream": false,
    "venice_parameters": {
      "include_venice_system_prompt": false
    }
  }'