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@stratl.ai/sdk

v0.1.0

Published

Stratl SDK: record AI decisions as Stratl Record Format (SRF) evidence

Readme

@stratl.ai/sdk (TypeScript SDK)

Record AI decisions as Stratl Record Format (SRF) evidence, from Node 20+ or the browser.

npm install @stratl.ai/sdk
import { Client, decision } from "@stratl.ai/sdk";

const client = new Client(); // reads STRATL_API_URL, STRATL_API_KEY and STRATL_SPOOL_DIR

const { record, submitted } = await decision("claims-triage", ["claim", "8843"], async (d) => {
  await d.input(claim);
  await d.model("anthropic", "claude-sonnet-5", prompt, response);
  await d.tool("providers.lookup", args, result);
  await d.approval({ required: true, approver: "[email protected]", authority: "medical_director", decision: "approved" });
  await d.action("claim.deny", { target: "claim/8843", result: "executed" });
  await d.outcome({ adverse: true, category: "claim_denial" });
}, client);

console.log(record.decision_id, submitted?.status); // "recorded", or "spooled" if the API was unreachable

Whatever you pass to input, retrieval, model, tool, approval({ comment }) or action({ params }) is fingerprinted on your side: strings as UTF-8, Uint8Array as it is, everything else as RFC 8785 canonical JSON. The record carries only the sha256: fingerprints. The client uploads the exact bytes it hashed to the custody store (only the ones the store does not already hold), so a fingerprint alone can fetch the original later and be re-hashed against the record. The Python SDK uses the same rules, so both produce the same fingerprint for the same content. Pass new Client({ storeArtifacts: false }) to send fingerprints only.

Under Node, a record that cannot be sent (network failure, 5xx, 429) is spooled to .stratl-spool/ and submit resolves with status: "spooled" instead of throwing; call client.flushSpool() later. A record the API refuses (4xx) is reported as failed and not retried. In the browser there is no spool.

src/srf.ts is the TypeScript implementation of SRF types, canonicalisation and hashing. It is conformance-tested against spec/fixtures alongside the Python and Go implementations.