Build on the NaraRouter API

Authorization: Bearer sk-nry-xxxxxxxxxxxxxxxxxxxxxxxxxxxx

{
  "model": "deepseek-v4-flash",
  "messages": [
    { "role": "system", "content": "You are helpful." },
    { "role": "user", "content": "Hello!" }
  ],
  "temperature": 0.7,
  "max_tokens": 256
}

{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "deepseek-v4-flash",
  "choices": [
    {
      "index": 0,
      "message": { "role": "assistant", "content": "Hello! How can I help?" },
      "finish_reason": "stop"
    }
  ],
  "usage": { "prompt_tokens": 18, "completion_tokens": 8, "total_tokens": 26 }
}

stream = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[{"role": "user", "content": "Tell me a story."}],
    stream=True,
)

for chunk in stream:
    delta = chunk.choices[0].delta.content
    if delta:
        print(delta, end="", flush=True)

{
  "model": "deepseek-v4-pro",
  "messages": [
    { "role": "user", "content": "Prove that sqrt(2) is irrational." }
  ],
  "reasoning_effort": "high"
}

// Same 7 levels on the other two chat endpoints:
// POST /v1/responses  ->  "reasoning": { "effort": "high" }
// POST /v1/messages   ->  "output_config": { "effort": "high" }
// Levels: none | minimal | low | medium | high | xhigh | max (ultra = max).
// Higher levels clamp to what each model supports instead of erroring.

curl https://router.bynara.id/v1/embeddings \
  -H "Authorization: Bearer sk-nry-xxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-3-small",
    "input": "The quick brown fox jumps over the lazy dog"
  }'

from openai import OpenAI

client = OpenAI(base_url="https://router.bynara.id/v1", api_key="sk-nry-xxxxxxxx")
res = client.embeddings.create(model="text-embedding-3-small", input="The quick brown fox jumps over the lazy dog")
print(res.data[0].embedding[:5])  # [0.012, -0.034, ...]

{
  "object": "list",
  "data": [{ "object": "embedding", "index": 0, "embedding": [0.012, -0.034, 0.041, ...] }],
  "model": "text-embedding-3-small",
  "usage": { "prompt_tokens": 9, "total_tokens": 9 }
}

curl https://router.bynara.id/v1/rerank \
  -H "Authorization: Bearer sk-nry-xxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "rerank-v3",
    "query": "cara reset password nararouter",
    "documents": [
      "panduan billing reset saldo",
      "cara reset password nararouter via dashboard",
      "reset password email token"
    ],
    "top_n": 3
  }'

# RAG: embed 20 docs via /v1/embeddings, then rerank top candidates
import requests
res = requests.post(f"https://router.bynara.id/v1/rerank", headers={"Authorization": "Bearer sk-nry-xxxxxxxx"}, json={
    "model": "rerank-v3",
    "query": "cara reset password nararouter",
    "documents": docs,  # 10-20 candidates from vector search
    "top_n": 5
})
for r in res.json()["results"]:
    print(r["index"], r["relevance_score"], docs[r["index"]][:60])

{
  "object": "list",
  "results": [
    { "index": 1, "relevance_score": 0.98 },
    { "index": 2, "relevance_score": 0.85 },
    { "index": 0, "relevance_score": 0.21 }
  ],
  "model": "rerank-v3",
  "usage": { "prompt_tokens": 142, "total_tokens": 142 }
}

curl --request POST \
  --url https://api-images.bynara.id/v1/videos \
  --header 'Authorization: Bearer sk-nry-xxxxxxxx' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "happyhorse-1.1-t2v",
    "prompt": "A miniature city built from cardboard comes to life at night",
    "mode": "t2v",
    "resolution": "720p",
    "ratio": "16:9",
    "duration": 5
  }'

curl --request POST \
  --url https://api-images.bynara.id/v1/videos \
  --header 'Authorization: Bearer sk-nry-xxxxxxxx' \
  --form [email protected] \
  --form model=happyhorse-1.1-i2v \
  --form mode=i2v \
  --form prompt='The wizard raises his staff, wind blows his cloak, camera slowly zooms in' \
  --form resolution=720p \
  --form duration=5

curl --request POST \
  --url https://api-images.bynara.id/v1/videos \
  --header 'Authorization: Bearer sk-nry-xxxxxxxx' \
  --form [email protected] \
  --form [email protected] \
  --form [email protected] \
  --form model=agnes-video-v2.0 \
  --form mode=r2v \
  --form prompt='The wizard battles the fire dragon in the castle courtyard' \
  --form duration=5

# POST /v1/videos  ->  202 Accepted
{ "id": "01934...", "status": "pending", "created": 1780457477 }

# GET /v1/videos/{id}  (poll every ~5s)
{ "id": "01934...", "status": "succeeded",
  "url": "/v1/videos/01934.../download",
  "duration": 5, "created": 1780457477, "expires_at": "..." }

{
  "error": {
    "type": "rate_limited",
    "message": "Rate limit exceeded. Please retry later.",
    "request_id": "req_..."
  }
}

curl https://router.bynara.web.id/v1/chat/completions \
  -H "Authorization: Bearer sk-nry-yourapikey" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "combo/free-pack",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'