شروع سریع

from openai import OpenAI

client = OpenAI(
    base_url="https://api.morshed.ai/v1",
    api_key="mk-xxxxxxxx",
)

resp = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "سلام!"}],
)
print(resp.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.morshed.ai/v1",
  apiKey: "mk-xxxxxxxx",
});

const resp = await client.chat.completions.create({
  model: "gpt-4o-mini",
  messages: [{ role: "user", content: "سلام!" }],
});
console.log(resp.choices[0].message.content);

curl https://api.morshed.ai/v1/chat/completions \
  -H "Authorization: Bearer mk-xxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o-mini",
    "messages": [{"role": "user", "content": "سلام!"}]
  }'

models = client.models.list()
for m in models.data:
    print(m.id)

const models = await client.models.list();
for (const m of models.data) console.log(m.id);

curl https://api.morshed.ai/v1/models \
  -H "Authorization: Bearer mk-xxxxxxxx"

resp = client.embeddings.create(
    model="text-embedding-3-small",
    input="متن نمونه برای بردارسازی",
)
print(resp.data[0].embedding[:5])

const resp = await client.embeddings.create({
  model: "text-embedding-3-small",
  input: "متن نمونه برای بردارسازی",
});
console.log(resp.data[0].embedding.slice(0, 5));

curl https://api.morshed.ai/v1/embeddings \
  -H "Authorization: Bearer mk-xxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-3-small",
    "input": "متن نمونه برای بردارسازی"
  }'

resp = client.images.generate(
    model="gpt-image-1",
    prompt="یک گربه‌ی فضانورد، سبک نقاشی آبرنگ",
    n=1,
)
print(resp.data[0].url)

const resp = await client.images.generate({
  model: "gpt-image-1",
  prompt: "یک گربه‌ی فضانورد، سبک نقاشی آبرنگ",
  n: 1,
});
console.log(resp.data[0].url);

curl https://api.morshed.ai/v1/images/generations \
  -H "Authorization: Bearer mk-xxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-1",
    "prompt": "یک گربه‌ی فضانورد، سبک نقاشی آبرنگ",
    "n": 1
  }'

resp = client.audio.speech.create(
    model="tts-1",
    voice="alloy",
    input="سلام! این صدای تولیدشده است.",
)
resp.write_to_file("speech.mp3")

const resp = await client.audio.speech.create({
  model: "tts-1",
  voice: "alloy",
  input: "سلام! این صدای تولیدشده است.",
});
const buffer = Buffer.from(await resp.arrayBuffer());
await fs.promises.writeFile("speech.mp3", buffer);

curl https://api.morshed.ai/v1/audio/speech \
  -H "Authorization: Bearer mk-xxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "tts-1",
    "voice": "alloy",
    "input": "سلام! این صدای تولیدشده است."
  }' \
  --output speech.mp3

resp = client.audio.transcriptions.create(
    model="whisper-1",
    file=open("audio.mp3", "rb"),
)
print(resp.text)

import fs from "node:fs";

const resp = await client.audio.transcriptions.create({
  model: "whisper-1",
  file: fs.createReadStream("audio.mp3"),
});
console.log(resp.text);

curl https://api.morshed.ai/v1/audio/transcriptions \
  -H "Authorization: Bearer mk-xxxxxxxx" \
  -F model="whisper-1" \
  -F file="@audio.mp3"

stream = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "سلام!"}],
    stream=True,
    stream_options={"include_usage": True},  # تکه‌ی نهایی usage را برمی‌گرداند
)
for chunk in stream:
    if chunk.choices:
        print(chunk.choices[0].delta.content or "", end="")

const stream = await client.chat.completions.create({
  model: "gpt-4o-mini",
  messages: [{ role: "user", content: "سلام!" }],
  stream: true,
  stream_options: { include_usage: true },
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

curl https://api.morshed.ai/v1/chat/completions \
  -H "Authorization: Bearer mk-xxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o-mini",
    "messages": [{"role": "user", "content": "سلام!"}],
    "stream": true,
    "stream_options": {"include_usage": true}
  }'

resp = client.chat.completions.create(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "هوای تهران چطوره؟"}],
    tools=[{
        "type": "function",
        "function": {
            "name": "get_weather",
            "description": "آب‌وهوای یک شهر را برمی‌گرداند",
            "parameters": {
                "type": "object",
                "properties": {"city": {"type": "string"}},
                "required": ["city"],
            },
        },
    }],
)
print(resp.choices[0].message.tool_calls)