新增LLM审计摘要边界
This commit is contained in:
@@ -0,0 +1,37 @@
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import { describe, expect, it } from "vitest";
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import { createLlmAuditSummary, hashContent } from "../audit";
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describe("LLM audit summary", () => {
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it("hashes content deterministically", async () => {
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await expect(hashContent("abc")).resolves.toBe(
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"ba7816bf8f01cfea414140de5dae2223b00361a396177a9cb410ff61f20015ad",
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);
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});
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it("does not retain raw prompt or response", async () => {
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const summary = await createLlmAuditSummary({
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provider: "deepseek",
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model: "deepseek-v4-pro",
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task: "renwei_copy_optimizer",
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duration_ms: 12,
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schema_valid: true,
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prompt: "完整 prompt 不应长期保存",
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output: "完整 response 不应长期保存",
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error_summary: null,
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});
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expect(summary).toMatchObject({
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provider: "deepseek",
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model: "deepseek-v4-pro",
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task: "renwei_copy_optimizer",
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duration_ms: 12,
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schema_valid: true,
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error_summary: null,
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});
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expect(JSON.stringify(summary)).not.toContain("完整 prompt");
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expect(JSON.stringify(summary)).not.toContain("完整 response");
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expect(summary.input_hash).toHaveLength(64);
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expect(summary.output_hash).toHaveLength(64);
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});
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});
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@@ -41,6 +41,32 @@ describe("generateValidatedJson", () => {
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expect(result).toEqual({ value: "from-llm" });
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});
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it("emits an audit summary without raw prompt or response", async () => {
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const audits: unknown[] = [];
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process.env.LLM_PROVIDER = "deepseek";
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process.env.DEEPSEEK_API_KEY = "test-key";
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client.setGenerateJsonForValidation(async () => ({ value: "ok" }));
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const result = await client.generateValidatedJson({
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schema: z.object({ value: z.string() }),
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prompt: "raw prompt",
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task: "unknown",
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onAuditSummary: (summary) => audits.push(summary),
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});
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expect(result).toEqual({ value: "ok" });
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expect(JSON.stringify(audits)).not.toContain("raw prompt");
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expect(JSON.stringify(audits)).not.toContain("ok");
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expect(audits).toEqual([
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expect.objectContaining({
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task: "unknown",
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schema_valid: true,
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input_hash: expect.any(String),
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output_hash: expect.any(String),
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}),
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]);
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});
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it("throws clearly when the model response fails schema validation", async () => {
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process.env.LLM_PROVIDER = "deepseek";
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process.env.DEEPSEEK_API_KEY = "test-key";
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@@ -0,0 +1,51 @@
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import type { LlmProviderStatus, LlmTaskName } from "./client";
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export interface LlmAuditSummary {
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provider: LlmProviderStatus["provider"];
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model: string;
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task: LlmTaskName;
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duration_ms: number;
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schema_valid: boolean;
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error_summary: string | null;
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input_hash: string;
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output_hash: string | null;
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}
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export async function hashContent(value: string) {
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const data = new TextEncoder().encode(value);
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const digest = await crypto.subtle.digest("SHA-256", data);
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return Array.from(new Uint8Array(digest))
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.map((byte) => byte.toString(16).padStart(2, "0"))
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.join("");
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}
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export async function createLlmAuditSummary({
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provider,
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model,
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task,
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duration_ms,
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schema_valid,
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prompt,
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output,
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error_summary,
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}: {
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provider: LlmProviderStatus["provider"];
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model: string;
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task: LlmTaskName;
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duration_ms: number;
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schema_valid: boolean;
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prompt: string;
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output: string | null;
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error_summary: string | null;
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}): Promise<LlmAuditSummary> {
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return {
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provider,
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model,
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task,
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duration_ms,
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schema_valid,
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error_summary,
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input_hash: await hashContent(prompt),
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output_hash: output == null ? null : await hashContent(output),
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};
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}
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+46
-3
@@ -1,6 +1,8 @@
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import OpenAI from "openai";
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import type { z } from "zod";
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import { createLlmAuditSummary, type LlmAuditSummary } from "./audit";
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export type LlmTaskName =
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| "unknown"
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| "fact_extractor"
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@@ -15,6 +17,7 @@ export interface GenerateInput {
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model?: string;
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temperature?: number;
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task?: LlmTaskName;
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onAuditSummary?: (summary: LlmAuditSummary) => void | Promise<void>;
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}
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export interface GenerateValidatedJsonInput<T> extends GenerateInput {
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@@ -228,9 +231,33 @@ export async function generateValidatedJson<T>({
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const usesDefaultGenerator = generateJsonForValidation === generateJson;
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const status = getLlmProviderStatus();
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const startedAt = Date.now();
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const effectiveModel = input.model ?? status.model;
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const emitAudit = async ({
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schemaValid,
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output,
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errorSummary,
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}: {
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schemaValid: boolean;
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output: unknown | null;
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errorSummary: string | null;
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}) => {
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if (!input.onAuditSummary) return;
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await input.onAuditSummary(
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await createLlmAuditSummary({
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provider: status.provider,
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model: effectiveModel,
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task,
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duration_ms: Date.now() - startedAt,
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schema_valid: schemaValid,
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prompt: input.prompt,
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output: output == null ? null : stringifyForLog(output),
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error_summary: errorSummary,
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}),
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);
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};
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if (!usesDefaultGenerator) {
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console.info(
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`[llm:start] provider=${status.provider} model=${input.model ?? status.model} task=${task}`,
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`[llm:start] provider=${status.provider} model=${effectiveModel} task=${task}`,
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);
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}
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@@ -243,14 +270,25 @@ export async function generateValidatedJson<T>({
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}
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const parsed = schema.safeParse(generated);
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if (parsed.success) {
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await emitAudit({
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schemaValid: true,
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output: parsed.data,
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errorSummary: null,
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});
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console.info(`[llm:validated] task=${task} ok=true`);
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return parsed.data;
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}
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const zodSummary = summarizeZodError(parsed.error);
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console.warn(
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`[llm:validated] task=${task} ok=false zod_error=${quoteLogValue(summarizeZodError(parsed.error))}`,
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`[llm:validated] task=${task} ok=false zod_error=${quoteLogValue(zodSummary)}`,
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);
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await emitAudit({
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schemaValid: false,
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output: generated,
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errorSummary: zodSummary,
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});
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throw new LlmValidationError(
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`LLM response failed schema validation: ${summarizeZodError(parsed.error)}`,
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`LLM response failed schema validation: ${zodSummary}`,
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task,
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);
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} catch (error) {
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@@ -259,6 +297,11 @@ export async function generateValidatedJson<T>({
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}
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console.info(`[llm:validated] task=${task} ok=false reason=provider_error`);
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const message = error instanceof Error ? error.message : String(error);
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await emitAudit({
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schemaValid: false,
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output: null,
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errorSummary: message,
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});
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console.warn(
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usesDefaultGenerator
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? `[llm:error] task=${task} message=${quoteLogValue(message)}`
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