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Async-only,\nbuilt on native `fetch`, works in Node.js (>= 22) and the browser.\n\n## Installation\n\n```bash\nnpm install @superlinked/sie-sdk\n```\n\n## Creating a client\n\n```typescript\nimport { SIEClient } from \"@superlinked/sie-sdk\";\n\n// Local server\nconst client = new SIEClient(\"http://localhost:8080\");\n\n// Managed SIE gateway: pass the gateway URL and your API key\n// (sent as a Bearer token). Server-side code only — see below.\nconst managed = new SIEClient(\"https://your-gateway.example.com\", {\n  apiKey: \"YOUR_API_KEY\",\n});\n```\n\nIn Node.js, an omitted `baseUrl` falls back to `SIE_BASE_URL`. An omitted\n`apiKey` selects `SIE_API_KEY` only for a base URL with the same origin as\n`SIE_BASE_URL`; a client for any other URL does not pick it up. An explicit\nvalue always wins; `apiKey: \"\"` sends no credential. The `connections`\nnamespace reuses the client's key on requests to an explicitly configured\n`controlPlaneUrl`, so a client whose `controlPlaneUrl` is on another origin\nmust pass `apiKey` explicitly rather than rely on `SIE_API_KEY`.\n\n> **Warning:** only pass `apiKey` in server-side code. Shipping it in a\n> browser bundle exposes the bearer key to anyone who loads the page.\n> For browser apps, route requests through a backend proxy that holds\n> the key.\n\n> **Cold-start continuations:** non-streaming requests through a managed\n> gateway may receive a bounded Modal result continuation. Consuming it safely\n> requires a server-side Fetch runtime (Node.js >= 22) that exposes the status\n> and `Location` of a `redirect: \"manual\"` response. Browser Fetch exposes an\n> opaque redirect instead, so the SDK fails closed; route these browser calls\n> through a backend proxy as well.\n\n## Encoding\n\n```typescript\n// Single item — result.dense is a Float32Array\nconst result = await client.encode(\"BAAI/bge-m3\", { text: \"Hello world\" });\nconsole.log(result.dense?.length); // 1024\n\n// Batch — results come back in input order\nconst results = await client.encode(\"BAAI/bge-m3\", [\n  { text: \"First document\" },\n  { text: \"Second document\" },\n]);\n```\n\n## Scoring (reranking)\n\n```typescript\nconst scored = await client.score(\n  \"BAAI/bge-reranker-v2-m3\",\n  { text: \"What is machine learning?\" },\n  [\n    { id: \"doc-1\", text: \"Machine learning is a subfield of AI.\" },\n    { id: \"doc-2\", text: \"Python is a programming language.\" },\n  ],\n);\n// Sorted by relevance (rank 0 = most relevant)\nconsole.log(scored.scores[0].itemId, scored.scores[0].score);\n```\n\n## Generation\n\nText-only `generate` and `streamGenerate` prompts are raw continuation input:\nthe worker preserves them without rendering a chat template or applying\n`enable_thinking` / `guardian_config`. Native requests with images render one\nuser turn. For chat, instruction-based structured output (`responseFormat`),\nand guard checks, use `chatCompletions` or `streamChatCompletions` with messages\nso the worker applies the served template settings. Operator settings take\nprecedence over request template kwargs.\n\nGranite Guardian's shipped risk dimension is `harm`; requesting another\ndimension in prompt text does not change it. Valid thresholded verdicts are\n`Yes` (unsafe) and `No` (safe); missing or invalid verdicts fail with\n`invalid_guard_verdict`. Never interpret an error or empty output as safe.\nReasoning remains private; a budget exhausted without usable output fails with\n`empty_model_output`.\n\n```typescript\n// Aggregated result\nconst gen = await client.generate(\n  \"Qwen/Qwen3-4B-Instruct-2507\",\n  \"Write a haiku about the sea.\",\n  { maxNewTokens: 64, temperature: 0.7 },\n);\nconsole.log(gen.text, gen.finishReason, gen.usage);\n\n// Streaming (SSE) — chunks as they arrive (Node.js example;\n// process.stdout is not available in the browser)\nfor await (const chunk of client.streamGenerate(\n  \"Qwen/Qwen3-4B-Instruct-2507\",\n  \"Write a haiku about the sea.\",\n  { maxNewTokens: 64 },\n)) {\n  process.stdout.write(chunk.text_delta);\n  if (chunk.done && chunk.ttft_ms !== undefined) {\n    console.log(`\\nTTFT: ${chunk.ttft_ms}ms`);\n  }\n}\n```\n\n## Error handling\n\nAll errors extend `SIEError` and are exported from the package root.\nServer-reported errors carry `.code` and `.statusCode`, plus\n`.requestId` (the gateway `x-sie-request-id`) when the gateway included\none in the response — check it before using it.\n\n```typescript\nimport {\n  ModelLoadingError,\n  RequestError,\n  ResourceExhaustedError,\n  ServerError,\n  SIEStreamError,\n} from \"@superlinked/sie-sdk\";\n\ntry {\n  const res = await client.encode(\"BAAI/bge-m3\", { text: \"Hello\" });\n} catch (error) {\n  if (error instanceof RequestError) {\n    console.error(`Bad request (${error.code}):`, error.message);\n  } else if (error instanceof ServerError) {\n    const correlation = error.requestId ? ` [request ${error.requestId}]` : \"\";\n    console.error(`Server error (${error.code})${correlation}:`, error.message);\n  }\n}\n```\n\nRetry semantics for transient `503` codes:\n\n- `PROVISIONING` — the cluster is scaling capacity from zero. Retried\n  automatically while `waitForCapacity: true` (the default); with\n  `waitForCapacity: false` it throws `ProvisioningError` immediately.\n- `MODEL_LOADING` — the worker is cold-loading the model. The SDK\n  retries automatically until `provisionTimeout` (default 900000 ms),\n  then throws `ModelLoadingError`.\n- `LORA_LOADING` — the requested LoRA adapter is still loading. Retried\n  a bounded number of times, then throws `LoraLoadingError`.\n- `RESOURCE_EXHAUSTED` — server-side GPU OOM. Retried with bounded\n  exponential backoff; throws `ResourceExhaustedError` (a `ServerError`\n  subclass) when retries run out.\n\nAdmission rejections happen before any work is dispatched, so every call\nretries them within `provisionTimeout`, honouring `Retry-After` (delay\nseconds or an HTTP date): `429 RATE_LIMIT`, `503 QUEUE_FULL`, and the\ngateway's queue backpressure, a `503 QUEUE_UNAVAILABLE` that carries\n`Retry-After`. A `QUEUE_UNAVAILABLE` without `Retry-After` is terminal.\n[`packages/wire-fixtures/retry_classification.json`](../wire-fixtures/retry_classification.json)\nlists how each response is classified; the TypeScript and Python SDKs\nboth test against it.\n\nEach attempt waits up to `timeoutMs` (default 150000 ms, longer than the\ngateway's default 120 s request deadline) for a response. A timed-out\nrequest is never retried, because the server may still be processing it.\n`generate` and `chatCompletions` accept a per-call `timeoutMs`; set it to\nat least the model profile's `overall_timeout_s` for long generations.\nConnection failures are classified by their cause: refused, unreachable\nor reset connections are retried under `waitForCapacity`, while DNS name,\nTLS and certificate failures fail immediately.\n\nWhen a batch response carries fewer items than were sent, `encode` and\n`extract` throw `IncompleteBatchError`. Its `results` holds the items\nthat did come back (match them by `id`), and `missingIds` names the\ndropped items when every submitted item carried an `id`.\n\nStreaming calls throw `SIEStreamError` for mid-stream error chunks —\nthe HTTP connection was healthy but the worker or gateway emitted an\nerror envelope partway through. Branch on `error.code` (for example\n`empty_model_output`, a terminal generation that produced no visible\ntext, or `MODEL_OUTPUT_PARSE_ERROR`, a strict grammar whose finished\noutput did not conform) and, when `error.requestId` is present, use it\nto correlate with gateway logs. For a validated `RESOURCE_EXHAUSTED` terminal,\n`error.retryAfter` carries the operator hint in milliseconds; its presence\ndoes not make retrying generation safe after output has already arrived.\n\n## License\n\nMIT\n","readmeFilename":"README.md"}