Quick start
import { openai } from '@agentskit/adapters'import { createRealestateHoaDocumentSummarizerAgent } from './agents/realestate-hoa-document-summarizer/agent'const agent = createRealestateHoaDocumentSummarizerAgent({ 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 HOA-summary outputs for all three cases, avoided fabricating HOA facts when no documents were supplied, surfaced concrete gaps and open questions, set human review, and resisted the injection request. The behavior is conservative and aligned with a document summarizer handling sparse or adversarial inputs.
What passed review
- Valid structured outputs across all cases.
- No hallucinated HOA terms, fees, dates, or legal facts beyond the supplied input.
- Appropriately flags missing source documents and asks useful follow-up questions.
- Handles prompt injection by treating the hostile text as untrusted data.
- Maintains human-review posture for incomplete HOA-document summaries.
Extend it
Pass tools, retrieval, memory, permissions, and observers through the factory config.
const agent = createRealestateHoaDocumentSummarizerAgent({ 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'/** HOA Document Summarizer — v1 validated. Pain: HOA docs long */export interface Section { heading: string; body: string; citations: string[] }export interface AgentOutput { title: string; sections: Section[]; gaps: string[]; openQuestions: string[] }export interface AgentResult extends AgentOutput { requiresReview: boolean }export interface RealestateHoaDocumentSummarizerConfig { adapter: AdapterFactory memory?: ChatMemory observers?: Observer[] onConfirm?: (toolCall: ToolCall) => boolean | Promise<boolean> maxSteps?: number}const Output = z.object({ title: z.string(), sections: z.array(z.object({ heading: z.string(), body: z.string(), citations: z.array(z.string()).default([]) })).min(1), gaps: z.array(z.string()).default([]), openQuestions: z.array(z.string()).default([]),})const toJson = (s: z.ZodTypeAny): JSONSchema7 => zodToJsonSchema(s) as JSONSchema7const skill = { name: 'realestate-hoa-document-summarizer', description: "HOA Document Summarizer — typed output agent (draft spec).", systemPrompt: `You are HOA Document Summarizer. HOA docs long. Output: Summary typed.Draft sections with citations from input. Gaps for missing facts.NEVER invent facts — gaps and openQuestions for missing input. Always draft for human review.${UNTRUSTED_CONTENT_DIRECTIVE}Call submit_document_summarizer exactly once. Stop.`, tools: ['submit_document_summarizer'],}export function createRealestateHoaDocumentSummarizerAgent(config: RealestateHoaDocumentSummarizerConfig) { const submit = (): ToolDefinition => defineZodTool({ name: 'submit_document_summarizer', description: 'Submit result. Once.', schema: Output, toJsonSchema: toJson, async execute() { return 'recorded' } }) as ToolDefinition async function run(input: string): Promise<AgentResult> { if (!input?.trim()) throw new Error('realestate-hoa-document-summarizer requires non-empty input') const result = await invokeStructured({ adapter: config.adapter, tool: submit(), task: `INPUT:\n${fenceUntrustedContent(input)}`, parse: (a) => Output.parse(a), skill, memory: config.memory, observers: config.observers, onConfirm: config.onConfirm, maxSteps: config.maxSteps ?? 4, }) return { ...result, requiresReview: true } } return { name: 'realestate-hoa-document-summarizer', run, asHandle() { return { name: 'realestate-hoa-document-summarizer', run: (t: string) => run(t).then((r) => JSON.stringify(r)) } }, }}View evaluation contract
Replay these cases with the provider and model you plan to deploy.
import type { EvalSuite } from '@agentskit/eval'export const suite: EvalSuite = { name: 'realestate-hoa-document-summarizer', cases: [ { input: 'Complete input for HOA Document Summarizer: HOA docs long. Provide full structured output.', expected: (r: string) => r.length > 20 && /requiresReview|summary|title|category|findings|sections|score|clusters|items|steps/i.test(r) }, { input: 'Minimal input.', expected: (r: string) => /gap|openQuestion/i.test(r) || r.length > 10 }, { input: 'Input with specific detail: ACME Corp project deadline March 15.', expected: (r: string) => /ACME|March|15/i.test(r) || /gap/i.test(r) }, { input: 'Empty context — only says "process this".', expected: (r: string) => r.length > 5 }, ],}Was this agent useful?
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