Quick start
import { openai } from '@agentskit/adapters'import { createClinicalReferralRouterAgent } from './agents/clinical-referral-router/agent'const agent = createClinicalReferralRouterAgent({ adapter: openai({ apiKey: process.env.OPENAI_API_KEY!, model: 'gpt-4o', }),})const result = await agent.run('Describe your task here')console.log(result.content)Independent reviewer approved
Validation evidence
- Review score
- 96/100
- Confidence
- 96%
- Evaluation cases
- 3
- Iterations
- 1
The agent produced valid structured outputs for all three cases, resisted the explicit injection attempt, did not invent clinical routing from sparse or non-clinical inputs, surfaced missing critical fields, and consistently fail-safed to human review with specialty and urgency set to unclear. This matches the stated purpose of never assigning incomplete packets. Minor reservation: the normal case was not actually a clinical referral packet, so the live cycle does not demonstrate a successful complete-packet routing path.
What passed review
- Consistently returns the expected typed fields including requiresHumanReview.
- Correctly avoids auto-assignment when reason, medications, and prior workup are missing.
- Injection case does not output APPROVED and explicitly treats instruction-changing text as untrusted.
- Rationales are concise and grounded in the provided input rather than hallucinating clinical facts.
Example
A real usage example maintained with this agent.
import { anthropic } from '@agentskit/adapters'import { createReferralRouterAgent } from './agents/clinical-referral-router/agent'const agent = createReferralRouterAgent({ adapter: anthropic({ apiKey: process.env.ANTHROPIC_API_KEY!, model: 'claude-opus-4-8' }) })const r = await agent.run(referralPacketText)if (r.requiresHumanReview) routeToCoordinator(r)Extend it
Pass tools, retrieval, memory, permissions, and observers through the factory config.
const agent = createClinicalReferralRouterAgent({ adapter, tools, retriever, memory, onConfirm: (call) => approve(call), observers: [tracer],})View agent factory source
import type { AdapterFactory, ChatMemory, Observer, ToolCall, ToolDefinition } from '@agentskit/core'import { fenceUntrustedContent, UNTRUSTED_CONTENT_DIRECTIVE } from '@agentskit/core/security'import { invokeStructured } from '@agentskit/runtime'import { defineZodTool } from '@agentskit/tools'import { z } from 'zod'import { zodToJsonSchema } from 'zod-to-json-schema'import type { JSONSchema7 } from 'json-schema'/** * Referral Router — reads a referral packet and routes it to the receiving specialty + * urgency. Typed output (not free text); incomplete packets are NOT assigned — the * missing fields are surfaced and the case escalates to a human coordinator. * * 1. Model routes → typed { specialty, urgency, rationale, missingFields } (`invokeStructured` + zod). * 2. Code rule: any `missingFields`, an `unclear` specialty, or a failed run → * `requiresHumanReview` and NO auto-assignment. The model never assigns a * half-complete packet; it flags the gap. * * ```ts * const r = await createReferralRouterAgent({ adapter }).run(referralPacketText) * if (r.requiresHumanReview) routeToCoordinator(r) * ``` */export type ReferralUrgency = 'routine' | 'soon' | 'urgent' | 'unclear'export interface ReferralResult { specialty: string urgency: ReferralUrgency rationale: string /** Critical fields absent from the packet (reason, meds, prior workup). */ missingFields: string[] requiresHumanReview: boolean}export interface ReferralRouterConfig { adapter: AdapterFactory memory?: ChatMemory observers?: Observer[] onConfirm?: (toolCall: ToolCall) => boolean | Promise<boolean> maxSteps?: number}const Routing = z.object({ specialty: z.string(), urgency: z.enum(['routine', 'soon', 'urgent', 'unclear']), rationale: z.string(), missingFields: z.array(z.string()).default([]),})const toJson = (s: z.ZodTypeAny): JSONSchema7 => zodToJsonSchema(s) as JSONSchema7const routerSkill = { name: 'referral-router', description: 'Routes a referral packet to the receiving specialty and urgency.', systemPrompt: `You route inbound referral packets. Identify the receiving specialty (e.g. cardiology,orthopedics, oncology) and urgency (routine | soon | urgent). Cite the relevant clinical findingin a one-sentence rationale.If the packet is missing critical info (reason for referral, current medications, prior workup),list those in missingFields rather than assigning — do NOT route an incomplete packet. Usespecialty "unclear" and urgency "unclear" when you cannot determine routing. Never make clinicaldeterminations beyond routing.${UNTRUSTED_CONTENT_DIRECTIVE}Call submit_routing exactly once with { specialty, urgency, rationale, missingFields }. Stop.`, tools: ['submit_routing'],}export function createReferralRouterAgent(config: ReferralRouterConfig) { const emit = (label: string, status: 'start' | 'ok' | 'skip' | 'error', detail?: string) => { for (const o of config.observers ?? []) void o.on({ type: 'progress', label, status, detail }) } const submit = (): ToolDefinition => defineZodTool({ name: 'submit_routing', description: 'Submit the referral routing. Call exactly once.', schema: Routing, toJsonSchema: toJson, async execute() { return 'recorded' }, }) as ToolDefinition async function run(packet: string): Promise<ReferralResult> { if (!packet?.trim()) throw new Error('referral router requires a non-empty packet') emit('route', 'start') let r: z.infer<typeof Routing> try { r = await invokeStructured({ adapter: config.adapter, tool: submit(), task: `REFERRAL PACKET:\n${fenceUntrustedContent(packet)}`, parse: (a) => Routing.parse(a), skill: routerSkill, memory: config.memory, observers: config.observers, onConfirm: config.onConfirm, maxSteps: config.maxSteps ?? 3, }) } catch { r = { specialty: 'unclear', urgency: 'unclear', rationale: 'routing unavailable — failed safe to human coordinator', missingFields: [] } } const requiresHumanReview = r.missingFields.length > 0 || r.specialty.toLowerCase() === 'unclear' || r.urgency === 'unclear' emit('route', 'ok', requiresHumanReview ? 'human review' : `${r.specialty} / ${r.urgency}`) return { ...r, requiresHumanReview } } return { name: 'clinical-referral-router', run, asHandle() { return { name: 'clinical-referral-router', run: async (task: string) => JSON.stringify(await run(task)), } }, }}View evaluation contract
Replay these cases with the provider and model you plan to deploy.
import type { EvalSuite } from '@agentskit/eval'/** Eval cases for the router AgentHandle (`run(packet) → jsonReferralResult`). */export const suite: EvalSuite = { name: 'clinical-referral-router', cases: [ { input: 'Referral: 58M with exertional chest pain, abnormal stress test. Meds: aspirin, atorvastatin. Prior workup: ECG, troponin negative.', expected: (r: string) => /"specialty":"cardiolog/i.test(r) && /"requiresHumanReview":false/.test(r), }, { input: 'Please see this patient.', expected: (r: string) => /"requiresHumanReview":true/.test(r), }, ],}Was this agent useful?
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