221 lines
8.8 KiB
TypeScript
221 lines
8.8 KiB
TypeScript
import { VALUE_SCORE_WEIGHTS } from "@capakraken/shared";
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import { z } from "zod";
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import {
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isAiConfigured,
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parseAiError,
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sanitizeDiagnosticError,
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} from "../ai-client.js";
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import { logger } from "../lib/logger.js";
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/** Fields that must never appear in audit log values */
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const SENSITIVE_FIELDS = new Set([
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"azureOpenAiApiKey",
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"smtpPassword",
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"azureDalleApiKey",
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"anonymizationSeed",
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"geminiApiKey",
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]);
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export const settingsUpdateInputSchema = z.object({
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aiProvider: z.enum(["openai", "azure"]).optional(),
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azureOpenAiEndpoint: z.string().url().optional().or(z.literal("")),
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azureOpenAiDeployment: z.string().optional(),
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azureOpenAiApiKey: z.string().optional(),
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azureApiVersion: z.string().optional(),
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aiMaxCompletionTokens: z.number().int().min(50).max(4000).optional(),
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aiTemperature: z.number().min(0).max(2).optional(),
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aiSummaryPrompt: z.string().optional(),
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scoreWeights: z.object({
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skillDepth: z.number().min(0).max(1),
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skillBreadth: z.number().min(0).max(1),
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costEfficiency: z.number().min(0).max(1),
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chargeability: z.number().min(0).max(1),
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experience: z.number().min(0).max(1),
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}).refine(
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(weights) => {
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const sum = weights.skillDepth
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+ weights.skillBreadth
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+ weights.costEfficiency
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+ weights.chargeability
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+ weights.experience;
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return Math.abs(sum - 1.0) < 0.01;
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},
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{ message: "Score weights must sum to 1.0" },
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).optional(),
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scoreVisibleRoles: z.array(z.enum(["ADMIN", "MANAGER", "CONTROLLER", "USER", "VIEWER"])).optional(),
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smtpHost: z.string().optional(),
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smtpPort: z.number().int().min(1).max(65535).optional(),
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smtpUser: z.string().optional(),
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smtpPassword: z.string().optional(),
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smtpFrom: z.string().email().optional().or(z.literal("")),
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smtpTls: z.boolean().optional(),
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anonymizationEnabled: z.boolean().optional(),
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anonymizationDomain: z.string().trim().min(1).optional(),
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anonymizationSeed: z.string().trim().min(1).optional().or(z.literal("")),
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anonymizationMode: z.enum(["global"]).optional(),
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azureDalleDeployment: z.string().optional(),
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azureDalleEndpoint: z.string().url().optional().or(z.literal("")),
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azureDalleApiKey: z.string().optional(),
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geminiApiKey: z.string().optional(),
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geminiModel: z.string().optional(),
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imageProvider: z.enum(["dalle", "gemini"]).optional(),
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vacationDefaultDays: z.number().int().min(0).max(365).optional(),
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timelineUndoMaxSteps: z.number().int().min(1).max(200).optional(),
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});
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export type SettingsUpdateInput = z.infer<typeof settingsUpdateInputSchema>;
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export function getDefaultScoreWeights() {
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return {
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skillDepth: VALUE_SCORE_WEIGHTS.SKILL_DEPTH,
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skillBreadth: VALUE_SCORE_WEIGHTS.SKILL_BREADTH,
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costEfficiency: VALUE_SCORE_WEIGHTS.COST_EFFICIENCY,
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chargeability: VALUE_SCORE_WEIGHTS.CHARGEABILITY,
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experience: VALUE_SCORE_WEIGHTS.EXPERIENCE,
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};
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}
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export function buildSettingsUpdatePayload(input: SettingsUpdateInput): {
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data: Record<string, unknown>;
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ignoredSecretFields: string[];
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} {
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const data: Record<string, unknown> = {};
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const ignoredSecretFields: string[] = [];
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if (input.aiProvider !== undefined) data.aiProvider = input.aiProvider;
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if (input.azureOpenAiEndpoint !== undefined) data.azureOpenAiEndpoint = input.azureOpenAiEndpoint || null;
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if (input.azureOpenAiDeployment !== undefined) data.azureOpenAiDeployment = input.azureOpenAiDeployment || null;
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if (input.azureOpenAiApiKey !== undefined) ignoredSecretFields.push("azureOpenAiApiKey");
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if (input.azureApiVersion !== undefined) data.azureApiVersion = input.azureApiVersion || null;
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if (input.aiMaxCompletionTokens !== undefined) data.aiMaxCompletionTokens = input.aiMaxCompletionTokens;
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if (input.aiTemperature !== undefined) data.aiTemperature = input.aiTemperature;
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if (input.aiSummaryPrompt !== undefined) data.aiSummaryPrompt = input.aiSummaryPrompt || null;
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if (input.scoreWeights !== undefined) data.scoreWeights = input.scoreWeights;
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if (input.scoreVisibleRoles !== undefined) data.scoreVisibleRoles = input.scoreVisibleRoles;
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if (input.smtpHost !== undefined) data.smtpHost = input.smtpHost || null;
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if (input.smtpPort !== undefined) data.smtpPort = input.smtpPort;
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if (input.smtpUser !== undefined) data.smtpUser = input.smtpUser || null;
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if (input.smtpPassword !== undefined) ignoredSecretFields.push("smtpPassword");
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if (input.smtpFrom !== undefined) data.smtpFrom = input.smtpFrom || null;
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if (input.smtpTls !== undefined) data.smtpTls = input.smtpTls;
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if (input.anonymizationEnabled !== undefined) data.anonymizationEnabled = input.anonymizationEnabled;
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if (input.anonymizationDomain !== undefined) data.anonymizationDomain = input.anonymizationDomain || "superhartmut.de";
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if (input.anonymizationSeed !== undefined) ignoredSecretFields.push("anonymizationSeed");
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if (input.anonymizationMode !== undefined) {
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data.anonymizationMode = input.anonymizationMode;
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data.anonymizationAliases = null;
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}
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if (input.azureDalleDeployment !== undefined) data.azureDalleDeployment = input.azureDalleDeployment || null;
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if (input.azureDalleEndpoint !== undefined) data.azureDalleEndpoint = input.azureDalleEndpoint || null;
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if (input.azureDalleApiKey !== undefined) ignoredSecretFields.push("azureDalleApiKey");
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if (input.geminiApiKey !== undefined) ignoredSecretFields.push("geminiApiKey");
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if (input.geminiModel !== undefined) data.geminiModel = input.geminiModel || null;
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if (input.imageProvider !== undefined) data.imageProvider = input.imageProvider;
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if (input.vacationDefaultDays !== undefined) data.vacationDefaultDays = input.vacationDefaultDays;
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if (input.timelineUndoMaxSteps !== undefined) data.timelineUndoMaxSteps = input.timelineUndoMaxSteps;
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return { data, ignoredSecretFields };
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}
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export function sanitizeSettingsAuditSnapshot(obj: Record<string, unknown>): Record<string, unknown> {
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const result: Record<string, unknown> = {};
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for (const [key, value] of Object.entries(obj)) {
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result[key] = SENSITIVE_FIELDS.has(key) ? (value ? "***" : null) : value;
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}
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return result;
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}
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export async function testRuntimeAiConnection(settings: {
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aiProvider?: string | null;
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azureOpenAiEndpoint?: string | null;
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azureOpenAiDeployment?: string | null;
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azureOpenAiApiKey?: string | null;
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azureApiVersion?: string | null;
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} | null | undefined): Promise<{ ok: boolean; error?: string }> {
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if (!isAiConfigured(settings)) {
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const provider = settings?.aiProvider ?? "openai";
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if (provider === "azure") {
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return { ok: false, error: "Missing required fields: endpoint, deployment name, and API key are all required for Azure OpenAI." };
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}
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return { ok: false, error: "Missing required fields: model name and API key are required." };
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}
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const configuredSettings = settings as NonNullable<typeof settings>;
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const provider = configuredSettings.aiProvider ?? "openai";
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const apiKey = configuredSettings.azureOpenAiApiKey!;
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if (provider === "azure") {
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const endpoint = configuredSettings.azureOpenAiEndpoint!.replace(/\/$/, "");
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const deployment = configuredSettings.azureOpenAiDeployment!;
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const apiVersion = configuredSettings.azureApiVersion ?? "2025-01-01-preview";
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const url = `${endpoint}/openai/deployments/${deployment}/chat/completions?api-version=${apiVersion}`;
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return performAiConnectionFetch(provider, url, {
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"Content-Type": "application/json",
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"api-key": apiKey,
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});
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}
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const model = configuredSettings.azureOpenAiDeployment ?? "gpt-4o-mini";
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return performAiConnectionFetch(
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provider,
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"https://api.openai.com/v1/chat/completions",
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{
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"Content-Type": "application/json",
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Authorization: `Bearer ${apiKey}`,
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},
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{ model },
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);
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}
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async function performAiConnectionFetch(
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provider: string,
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url: string,
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headers: Record<string, string>,
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bodyOverrides: Record<string, unknown> = {},
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): Promise<{ ok: boolean; error?: string }> {
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try {
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const response = await fetch(url, {
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method: "POST",
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headers,
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body: JSON.stringify({
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messages: [{ role: "user", content: "ping" }],
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max_completion_tokens: 5,
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...bodyOverrides,
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}),
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});
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const body = await response.text();
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if (response.ok) {
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return { ok: true };
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}
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let message = body;
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try {
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const parsed = JSON.parse(body) as { error?: { message?: string } };
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if (parsed.error?.message) {
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message = parsed.error.message;
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}
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} catch {
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message = body;
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}
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const raw = `HTTP ${response.status}: ${message}`;
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logger.warn(
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{ provider, diagnostic: sanitizeDiagnosticError(raw) },
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"AI connection test failed",
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);
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return { ok: false, error: parseAiError(new Error(raw)) };
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} catch (error) {
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logger.warn(
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{ provider, diagnostic: sanitizeDiagnosticError(error) },
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"AI connection test failed",
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);
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return { ok: false, error: parseAiError(error) };
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}
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}
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