@superlinked/sie-sdk
September 16, 2026 · View on GitHub
Official TypeScript SDK for SIE (Search Inference Engine). Async-only,
built on native fetch, works in Node.js (>= 22) and the browser.
Installation
npm install @superlinked/sie-sdk
Creating a client
import { SIEClient } from "@superlinked/sie-sdk";
// Local server
const client = new SIEClient("http://localhost:8080");
// Managed SIE gateway: pass the gateway URL and your API key
// (sent as a Bearer token). Server-side code only — see below.
const managed = new SIEClient("https://your-gateway.example.com", {
apiKey: "YOUR_API_KEY",
});
Warning: only pass
apiKeyin server-side code. Shipping it in a browser bundle exposes the bearer key to anyone who loads the page. For browser apps, route requests through a backend proxy that holds the key.
Cold-start continuations: non-streaming requests through a managed gateway may receive a bounded Modal result continuation. Consuming it safely requires a server-side Fetch runtime (Node.js >= 22) that exposes the status and
Locationof aredirect: "manual"response. Browser Fetch exposes an opaque redirect instead, so the SDK fails closed; route these browser calls through a backend proxy as well.
Encoding
// Single item — result.dense is a Float32Array
const result = await client.encode("BAAI/bge-m3", { text: "Hello world" });
console.log(result.dense?.length); // 1024
// Batch — results come back in input order
const results = await client.encode("BAAI/bge-m3", [
{ text: "First document" },
{ text: "Second document" },
]);
Scoring (reranking)
const scored = await client.score(
"BAAI/bge-reranker-v2-m3",
{ text: "What is machine learning?" },
[
{ id: "doc-1", text: "Machine learning is a subfield of AI." },
{ id: "doc-2", text: "Python is a programming language." },
],
);
// Sorted by relevance (rank 0 = most relevant)
console.log(scored.scores[0].itemId, scored.scores[0].score);
Generation
Text-only generate and streamGenerate prompts are raw continuation input:
the worker preserves them without rendering a chat template or applying
enable_thinking / guardian_config. Native requests with images render one
user turn. For chat, instruction-based structured output (responseFormat),
and guard checks, use chatCompletions or streamChatCompletions with messages
so the worker applies the served template settings. Operator settings take
precedence over request template kwargs.
Granite Guardian's shipped risk dimension is harm; requesting another
dimension in prompt text does not change it. Valid thresholded verdicts are
Yes (unsafe) and No (safe); missing or invalid verdicts fail with
invalid_guard_verdict. Never interpret an error or empty output as safe.
Reasoning remains private; a budget exhausted without usable output fails with
empty_model_output.
// Aggregated result
const gen = await client.generate(
"Qwen/Qwen3-4B-Instruct-2507",
"Write a haiku about the sea.",
{ maxNewTokens: 64, temperature: 0.7 },
);
console.log(gen.text, gen.finishReason, gen.usage);
// Streaming (SSE) — chunks as they arrive (Node.js example;
// process.stdout is not available in the browser)
for await (const chunk of client.streamGenerate(
"Qwen/Qwen3-4B-Instruct-2507",
"Write a haiku about the sea.",
{ maxNewTokens: 64 },
)) {
process.stdout.write(chunk.text_delta);
if (chunk.done && chunk.ttft_ms !== undefined) {
console.log(`\nTTFT: ${chunk.ttft_ms}ms`);
}
}
Error handling
All errors extend SIEError and are exported from the package root.
Server-reported errors carry .code and .statusCode, plus
.requestId (the gateway x-sie-request-id) when the gateway included
one in the response — check it before using it.
import {
ModelLoadingError,
RequestError,
ResourceExhaustedError,
ServerError,
SIEStreamError,
} from "@superlinked/sie-sdk";
try {
const res = await client.encode("BAAI/bge-m3", { text: "Hello" });
} catch (error) {
if (error instanceof RequestError) {
console.error(`Bad request (${error.code}):`, error.message);
} else if (error instanceof ServerError) {
const correlation = error.requestId ? ` [request ${error.requestId}]` : "";
console.error(`Server error (${error.code})${correlation}:`, error.message);
}
}
Retry semantics for transient 503 codes:
PROVISIONING— the cluster is scaling capacity from zero. Retried automatically whilewaitForCapacity: true(the default); withwaitForCapacity: falseit throwsProvisioningErrorimmediately.MODEL_LOADING— the worker is cold-loading the model. The SDK retries automatically untilprovisionTimeout(default 900000 ms), then throwsModelLoadingError.LORA_LOADING— the requested LoRA adapter is still loading. Retried a bounded number of times, then throwsLoraLoadingError.RESOURCE_EXHAUSTED— server-side GPU OOM. Retried with bounded exponential backoff; throwsResourceExhaustedError(aServerErrorsubclass) when retries run out.
Streaming calls throw SIEStreamError for mid-stream error chunks —
the HTTP connection was healthy but the worker or gateway emitted an
error envelope partway through. Branch on error.code (for example
empty_model_output, a terminal generation that produced no visible
text) and, when error.requestId is present, use it to correlate with
gateway logs. For a validated RESOURCE_EXHAUSTED terminal,
error.retryAfter carries the operator hint in milliseconds; its presence
does not make retrying generation safe after output has already arrived.
License
MIT