البدء السريع

curl https://ai.alawadi.cloud/v1/chat/completions \
  -H "Authorization: Bearer $ALAWADI_AI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen2.5-7b-instruct",
    "messages": [
      {"role": "user", "content": "مرحبا! عرّف عن نفسك بجملة واحدة."}
    ]
  }'

# pip install openai
import os

from openai import OpenAI

client = OpenAI(
    base_url="https://ai.alawadi.cloud/v1",
    api_key=os.environ["ALAWADI_AI_KEY"],
)

resp = client.chat.completions.create(
    model="qwen2.5-7b-instruct",
    messages=[
        {"role": "user", "content": "مرحبا! عرّف عن نفسك بجملة واحدة."}
    ],
)
print(resp.choices[0].message.content)

// npm install openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://ai.alawadi.cloud/v1",
  apiKey: process.env.ALAWADI_AI_KEY,
});

const resp = await client.chat.completions.create({
  model: "qwen2.5-7b-instruct",
  messages: [
    { role: "user", content: "مرحبا! عرّف عن نفسك بجملة واحدة." },
  ],
});
console.log(resp.choices[0].message.content);

curl -N https://ai.alawadi.cloud/v1/chat/completions \
  -H "Authorization: Bearer $ALAWADI_AI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen2.5-7b-instruct",
    "stream": true,
    "messages": [
      {"role": "user", "content": "مرحبا! عرّف عن نفسك بجملة واحدة."}
    ]
  }'

stream = client.chat.completions.create(
    model="qwen2.5-7b-instruct",
    stream=True,
    messages=[
        {"role": "user", "content": "مرحبا! عرّف عن نفسك بجملة واحدة."}
    ],
)
for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
    if chunk.usage:  # final chunk, exact token counts
        print(f"\n-- {chunk.usage.total_tokens} tokens")

const stream = await client.chat.completions.create({
  model: "qwen2.5-7b-instruct",
  stream: true,
  messages: [
    { role: "user", content: "مرحبا! عرّف عن نفسك بجملة واحدة." },
  ],
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
  if (chunk.usage) console.log(`\n-- ${chunk.usage.total_tokens} tokens`);
}

curl https://ai.alawadi.cloud/v1/chat/completions \
  -H "Authorization: Bearer $ALAWADI_AI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen2.5-7b-instruct",
    "stream": false,
    "messages": [
      {"role": "user", "content": "ما حالة الطقس في دمشق؟"}
    ],
    "tools": [{
      "type": "function",
      "function": {
        "name": "get_weather",
        "description": "Get the current weather for a city",
        "parameters": {
          "type": "object",
          "properties": {"city": {"type": "string"}},
          "required": ["city"]
        }
      }
    }]
  }'

tools = [{
    "type": "function",
    "function": {
        "name": "get_weather",
        "description": "Get the current weather for a city",
        "parameters": {
            "type": "object",
            "properties": {"city": {"type": "string"}},
            "required": ["city"],
        },
    },
}]

resp = client.chat.completions.create(
    model="qwen2.5-7b-instruct",
    stream=False,
    messages=[{"role": "user", "content": "ما حالة الطقس في دمشق؟"}],
    tools=tools,
)

call = resp.choices[0].message.tool_calls[0]
print(call.function.name)       # get_weather
print(call.function.arguments)  # {"city": "Damascus"}
# Run the function yourself, then send the result back as a
# {"role": "tool", "tool_call_id": call.id, "content": "..."} message.