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Getting started

The platform has two services. Which one you use depends on the capability — each capability page tells you the host and key to use.

Service Base host Auth header
Gateway — chat, RAG, translation, vision, standard speech-to-text, text-to-speech https://ai.ollalink.com Authorization: Bearer <key>
Speech GPU — high-accuracy & realtime speech-to-text, 50-voice TTS, voice cloning, voice design, live translation gpu-*.ollalink.com X-NH-GPU-Key: <key>

Full detail and error codes: Authentication.

Your first request (Gateway)

Send your partner key as a Bearer token. Keep it server-side — never ship it to a browser.

bash — curl 
curl https://ai.ollalink.com/v1/chat/completions \
  -H "Authorization: Bearer sk-partner-XXXXXXXXXXXX" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "chat",
    "messages": [
      {"role": "system", "content": "You are a helpful networking assistant."},
      {"role": "user", "content": "In one sentence, what does BGP do?"}
    ],
    "max_tokens": 200
  }'

Python (OpenAI SDK)

python 
from openai import OpenAI

client = OpenAI(base_url="https://ai.ollalink.com/v1",
                api_key="sk-partner-XXXXXXXXXXXX")

resp = client.chat.completions.create(
    model="chat",
    messages=[{"role": "user", "content": "Explain OSPF in two sentences."}],
    max_tokens=300,
)
print(resp.choices[0].message.content)

Model lanes at a glance

Model Use it for Languages Tokens
chat General chat, RAG, summarization, vision, tool calling Multilingual Large context; size max_tokens to the task
code Dedicated coding — reasons first Code + natural language max_tokens ≥ 4000 (ideally 8000), timeout ≥ 120 s
local Fully private, on-hardware chat — prompts/outputs never leave our infrastructure Primarily English Keep max_tokens modest; prefer stream: true
translate Technical translation — keeps IPs, acronyms, CLI in Latin Broad (Indian + European) Short outputs

Call GET /v1/models for the live list.

Health check

bash 
curl https://ai.ollalink.com/healthz    # -> ok

Where to next

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