Kết nối API trong 5 phút

curl https://vfam.shop/api/v1/chat/completions \
  -H "Authorization: Bearer sk_cua_ban" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-4o-mini","messages":[{"role":"user","content":"Xin chào!"}]}'

curl https://vfam.shop/api/v1/chat/completions \
  -H "Authorization: Bearer sk_cua_ban" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o-mini",
    "messages": [{ "role": "user", "content": "Xin chào!" }]
  }'

{"id":"chatcmpl-9f2c41e8","object":"chat.completion","model":"gpt-4o-mini","choices":[{"index":0,"message":{"role":"assistant","content":"Chào bạn! 👋"},"finish_reason":"stop"}],"usage":{"prompt_tokens":9,"completion_tokens":12,"total_tokens":21}}

Authorization: Bearer sk_cua_ban

# Kiểm tra key còn hạn mức — xem model nào được dùng:
curl https://vfam.shop/api/v1/models \
  -H "Authorization: Bearer sk_cua_ban"

curl -s "https://vfam.shop/api/v1/models?include_details=true" -H "Authorization: Bearer sk_cua_ban" | jq '.data[] | {id, billing_mode, input_price_per_1m_usd, output_price_per_1m_usd}'

model = "gpt-4o-mini"
model_provider = "qwencoder"

[model_providers.qwencoder]
name = "QwenCoder"
base_url = "https://vfam.shop/api/v1"
env_key = "QWENCODER_API_KEY"
wire_api = "chat"

export QWENCODER_API_KEY=sk_cua_ban
codex "refactor auth.ts"

export OPENAI_API_BASE=https://vfam.shop/api/v1
export OPENAI_API_KEY=sk_cua_ban
aider --model openai/gpt-4o-mini

- model_id: qwencoder-model
  model_name: gpt-4o-mini
  api_base: "https://vfam.shop/api/v1"
  api_key_name: qwencoder

llm keys set qwencoder
llm -m qwencoder-model "Explain API quotas"

from openai import OpenAI

client = OpenAI(base_url="https://vfam.shop/api/v1", api_key="sk_cua_ban")

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

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://vfam.shop/api/v1", apiKey: "sk_cua_ban" });

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

curl -N https://vfam.shop/api/v1/chat/completions -H "Authorization: Bearer sk_cua_ban" -H "Content-Type: application/json" -d '{"model":"gpt-4o-mini","messages":[{"role":"user","content":"Xin chào!"}],"stream":true,"stream_options":{"include_usage":true}}'

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

{"error":{"message":"Provider timeout — thử lại sau.","type":"timeout_error","param":null,"code":"PROVIDER_TIMEOUT"}}