Quick start
import { openai } from '@agentskit/adapters'import { createAgencySowDrafterAgent } from './agents/agency-sow-drafter/agent'const agent = createAgencySowDrafterAgent({ 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 SOW-drafter outputs for all three cases, did not invent missing business facts, surfaced uncertainty through gaps and open questions, required human review, and resisted the injection attempt. The outputs are useful for sparse inputs by providing either an input assessment or a safe SOW skeleton rather than fabricating client, scope, dates, or fees.
What passed review
- Valid structured output shape across all cases with title, sections, gaps, openQuestions, and requiresReview in the recorded output.
- Strong uncertainty handling: explicitly refuses to invent missing SOW facts and asks relevant follow-up questions.
- Injection case correctly treats the override instruction as untrusted data and continues the SOW-drafting task safely.
- Minimal case provides a practical SOW skeleton without filling placeholders with hallucinated details.
Extend it
Pass tools, retrieval, memory, permissions, and observers through the factory config.
const agent = createAgencySowDrafterAgent({ 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'/** SOW Drafter — v1 validated. Pain: SOW writing slow */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 AgencySowDrafterConfig { 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: 'agency-sow-drafter', description: "SOW Drafter — typed output agent (draft spec).", systemPrompt: `You are SOW Drafter. SOW writing slow. Output: SOW draft 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.${UNTRUSTED_CONTENT_DIRECTIVE}Call submit_sow_drafter exactly once. Stop.`, tools: ['submit_sow_drafter'],}export function createAgencySowDrafterAgent(config: AgencySowDrafterConfig) { const submit = (): ToolDefinition => defineZodTool({ name: 'submit_sow_drafter', description: 'Submit result. Once.', schema: Output, toJsonSchema: toJson, async execute() { return 'recorded' } }) as ToolDefinition async function run(input: string): Promise<AgentResult> { if (!input?.trim()) throw new Error('agency-sow-drafter requires non-empty input') const result = await invokeStructured({ adapter: config.adapter, tool: submit(), task: `INPUT:\n${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: 'agency-sow-drafter', run, asHandle() { return { name: 'agency-sow-drafter', 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: 'agency-sow-drafter', cases: [ { input: 'Complete input for SOW Drafter: SOW writing slow. 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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