Add financing data import and normalization flow

This commit is contained in:
2026-06-15 21:52:39 +02:00
parent 238a30ae0c
commit 3ceccafa57
3 changed files with 1474 additions and 0 deletions

View File

@@ -16,6 +16,14 @@ vi.mock("ai", async (importOriginal) => {
tools: {
get_transactions: { execute: (input: unknown) => Promise<unknown> };
summarize_spending: { execute: (input: unknown) => Promise<unknown> };
get_accounts: { execute: (input: unknown) => Promise<unknown> };
get_categories: { execute: (input: unknown) => Promise<unknown> };
detect_recurring_transactions: { execute: (input: unknown) => Promise<unknown> };
find_anomalies: { execute: (input: unknown) => Promise<unknown> };
get_uncategorized_transactions: { execute: (input: unknown) => Promise<unknown> };
compare_periods: { execute: (input: unknown) => Promise<unknown> };
forecast_fixed_costs: { execute: (input: unknown) => Promise<unknown> };
explain_savings_rate: { execute: (input: unknown) => Promise<unknown> };
};
}) => {
const transactionInput = { from: "2026-02-01", to: "2026-02-28", limit: 2 };
@@ -53,6 +61,150 @@ beforeEach(() => {
vi.clearAllMocks();
});
async function seedSavingsInsightFixture() {
const t = convexTest(schema, modules);
const seeded = await t.run(async (ctx) => {
const userId = await ctx.db.insert("users", {
name: "Insight User",
email: "insight@example.com",
});
const otherUserId = await ctx.db.insert("users", {
name: "Hidden User",
email: "hidden@example.com",
});
const accountId = await ctx.db.insert("accounts", {
userId,
name: "Girokonto",
type: "checking",
openingBalance: 1000,
currency: "EUR",
isArchived: false,
});
const oldAccountId = await ctx.db.insert("accounts", {
userId,
name: "Altes Konto",
type: "checking",
openingBalance: 50,
currency: "EUR",
isArchived: true,
});
const hiddenAccountId = await ctx.db.insert("accounts", {
userId: otherUserId,
name: "Hidden",
type: "checking",
openingBalance: 0,
currency: "EUR",
isArchived: false,
});
const salaryId = await ctx.db.insert("categories", {
userId,
name: "Gehalt",
kind: "einnahme",
color: "#0ea5e9",
sortOrder: 1,
isSystem: false,
});
const rentId = await ctx.db.insert("categories", {
userId,
name: "Miete",
kind: "ausgabe",
block: "wiederkehrend",
color: "#64748b",
sortOrder: 2,
isSystem: false,
});
const subscriptionId = await ctx.db.insert("categories", {
userId,
name: "Abos",
kind: "ausgabe",
block: "wiederkehrend",
color: "#a855f7",
sortOrder: 3,
isSystem: false,
});
const groceriesId = await ctx.db.insert("categories", {
userId,
name: "Lebensmittel",
kind: "ausgabe",
block: "variabel",
color: "#22c55e",
sortOrder: 4,
isSystem: false,
});
async function insertTx(input: {
date: string;
description: string;
amount: number;
categoryId?: Id<"categories">;
counterparty?: string;
account?: Id<"accounts">;
owner?: Id<"users">;
}) {
await ctx.db.insert("transactions", {
userId: input.owner ?? userId,
accountId: input.account ?? accountId,
categoryId: input.categoryId,
bookingDate: input.date,
valueDate: input.date,
description: input.description,
counterparty: input.counterparty,
amount: input.amount,
isPending: false,
effectiveMonth: input.date.slice(0, 7),
rawText: "RAW SHOULD NOT LEAK",
notes: "PRIVATE NOTE SHOULD NOT LEAK",
});
}
for (const month of ["2026-01", "2026-02", "2026-03"]) {
await insertTx({
date: `${month}-01`,
description: "Gehalt",
counterparty: "Arbeitgeber",
amount: 3000,
categoryId: salaryId,
});
await insertTx({
date: `${month}-03`,
description: "Netflix",
counterparty: "Netflix",
amount: -15,
categoryId: subscriptionId,
});
}
await insertTx({ date: "2026-01-02", description: "Miete", counterparty: "Vermieter", amount: -1000, categoryId: rentId });
await insertTx({ date: "2026-02-02", description: "Miete", counterparty: "Vermieter", amount: -1000, categoryId: rentId });
await insertTx({ date: "2026-01-10", description: "Supermarkt", counterparty: "REWE", amount: -100, categoryId: groceriesId });
await insertTx({ date: "2026-02-10", description: "Supermarkt", counterparty: "REWE", amount: -110, categoryId: groceriesId });
await insertTx({ date: "2026-03-10", description: "Supermarkt", counterparty: "REWE", amount: -500, categoryId: groceriesId });
await insertTx({ date: "2026-02-15", description: "Mystery Shop", counterparty: "Mystery GmbH", amount: -40 });
await insertTx({ date: "2026-03-15", description: "Mystery Shop", counterparty: "Mystery GmbH", amount: -60 });
await insertTx({ date: "2026-02-20", description: "Archived", amount: -20, account: oldAccountId });
await insertTx({
date: "2026-02-20",
description: "Hidden other user",
amount: 9999,
account: hiddenAccountId,
owner: otherUserId,
});
return { userId, accountId, oldAccountId, salaryId, rentId, subscriptionId, groceriesId };
});
return {
t,
seeded,
asUser: t.withIdentity({
subject: `${seeded.userId}|test-session`,
tokenIdentifier: `test:${seeded.userId}`,
}),
};
}
describe("savingsChat.getContext", () => {
test("counts and sums every matching transaction before applying prompt limits", async () => {
const t = convexTest(schema, modules);
@@ -694,6 +846,14 @@ describe("savingsChat read-only agent tools", () => {
get_transactions: expect.any(Object),
summarize_spending: expect.any(Object),
forecast_cashflow: expect.any(Object),
get_accounts: expect.any(Object),
get_categories: expect.any(Object),
detect_recurring_transactions: expect.any(Object),
find_anomalies: expect.any(Object),
get_uncategorized_transactions: expect.any(Object),
compare_periods: expect.any(Object),
forecast_fixed_costs: expect.any(Object),
explain_savings_rate: expect.any(Object),
}),
stopWhen: expect.any(Function),
}),
@@ -711,4 +871,314 @@ describe("savingsChat read-only agent tools", () => {
}
}
});
test("getAccountsTool returns sanitized account totals for the selected scope", async () => {
const t = convexTest(schema, modules);
const seeded = await t.run(async (ctx) => {
const userId = await ctx.db.insert("users", { name: "Accounts User", email: "accounts@example.com" });
const otherUserId = await ctx.db.insert("users", { name: "Other User", email: "other@example.com" });
const giroAccountId = await ctx.db.insert("accounts", {
userId,
name: "Girokonto",
type: "checking",
iban: "DE123",
openingBalance: 1000,
currency: "EUR",
isArchived: false,
});
const archiveAccountId = await ctx.db.insert("accounts", {
userId,
name: "Altes Konto",
type: "checking",
openingBalance: 50,
currency: "EUR",
isArchived: true,
});
const otherAccountId = await ctx.db.insert("accounts", {
userId: otherUserId,
name: "Fremdes Konto",
type: "checking",
openingBalance: 0,
currency: "EUR",
isArchived: false,
});
await ctx.db.insert("transactions", {
userId,
accountId: giroAccountId,
bookingDate: "2026-02-01",
valueDate: "2026-02-01",
description: "Gehalt",
amount: 3000,
isPending: false,
effectiveMonth: "2026-02",
});
await ctx.db.insert("transactions", {
userId,
accountId: giroAccountId,
bookingDate: "2026-02-05",
valueDate: "2026-02-05",
description: "Miete",
amount: -1000,
isPending: false,
effectiveMonth: "2026-02",
});
await ctx.db.insert("transactions", {
userId,
accountId: archiveAccountId,
bookingDate: "2026-02-10",
valueDate: "2026-02-10",
description: "Altlast",
amount: -20,
isPending: false,
effectiveMonth: "2026-02",
});
await ctx.db.insert("transactions", {
userId: otherUserId,
accountId: otherAccountId,
bookingDate: "2026-02-10",
valueDate: "2026-02-10",
description: "Should not appear",
amount: 9999,
isPending: false,
effectiveMonth: "2026-02",
});
return { userId };
});
const result = await t.withIdentity({
subject: `${seeded.userId}|test-session`,
tokenIdentifier: `test:${seeded.userId}`,
}).query(internal.savingsChat.getAccountsTool, {
scope: { from: "2026-02-01", to: "2026-02-28", basis: "effective" },
includeArchived: true,
});
expect(result.accounts.map((account) => account.name)).toEqual(["Girokonto", "Altes Konto"]);
expect(result.accounts[0]).toEqual({
name: "Girokonto",
type: "checking",
currency: "EUR",
isArchived: false,
openingBalance: 1000,
transactionCount: 2,
balance: 2000,
});
expect(JSON.stringify(result)).not.toContain("DE123");
expect(JSON.stringify(result)).not.toContain("Should not appear");
});
test("getCategoriesTool returns scoped category totals and shares", async () => {
const { asUser, seeded } = await seedSavingsInsightFixture();
const result = await asUser.query(internal.savingsChat.getCategoriesTool, {
scope: {
from: "2026-01-01",
to: "2026-02-28",
accountId: seeded.accountId as Id<"accounts">,
basis: "effective",
},
});
expect(result.categories.map((category) => [category.name, category.transactionCount, category.amount])).toEqual([
["Gehalt", 2, 6000],
["Miete", 2, -2000],
["Abos", 2, -30],
["Lebensmittel", 2, -210],
["Ohne Kategorie", 1, -40],
]);
expect(result.categories.find((category) => category.name === "Miete")).toMatchObject({
kind: "ausgabe",
block: "wiederkehrend",
shareOfExpenses: 0.877,
});
expect(JSON.stringify(result)).not.toContain("Hidden other user");
});
test("getUncategorizedTransactionsTool returns bounded sanitized uncategorized insight", async () => {
const { asUser, seeded } = await seedSavingsInsightFixture();
const result = await asUser.query(internal.savingsChat.getUncategorizedTransactionsTool, {
scope: {
from: "2026-02-01",
to: "2026-03-31",
accountId: seeded.accountId as Id<"accounts">,
basis: "effective",
},
limit: 1,
});
expect(result.totalCount).toBe(2);
expect(result.hasMore).toBe(true);
expect(result.totals).toEqual({ transactionCount: 2, income: 0, expenses: -100, balance: -100 });
expect(result.rows).toHaveLength(1);
expect(result.topCounterparties).toEqual([{ name: "Mystery GmbH", count: 2, amount: -100 }]);
expect(JSON.stringify(result)).not.toContain("RAW SHOULD NOT LEAK");
expect(JSON.stringify(result)).not.toContain("PRIVATE NOTE SHOULD NOT LEAK");
});
test("comparePeriodsTool computes totals and category deltas", async () => {
const { asUser, seeded } = await seedSavingsInsightFixture();
const result = await asUser.query(internal.savingsChat.comparePeriodsTool, {
scope: {
from: "2026-03-01",
to: "2026-03-31",
accountId: seeded.accountId as Id<"accounts">,
basis: "effective",
},
compareFrom: "2026-02-01",
compareTo: "2026-02-28",
});
expect(result.current.totals).toEqual({ transactionCount: 4, income: 3000, expenses: -575, balance: 2425 });
expect(result.previous.totals).toEqual({ transactionCount: 5, income: 3000, expenses: -1165, balance: 1835 });
expect(result.deltas).toMatchObject({ income: 0, expenses: 590, balance: 590, fixedCosts: 1000, variableCosts: -390 });
expect(result.categoryDeltas.find((entry) => entry.name === "Miete")).toMatchObject({
currentAmount: 0,
previousAmount: -1000,
delta: 1000,
});
expect(result.categoryDeltas.find((entry) => entry.name === "Lebensmittel")).toMatchObject({
currentAmount: -500,
previousAmount: -110,
delta: -390,
});
});
test("explainSavingsRateTool reports formula inputs and deterministic drivers", async () => {
const { asUser, seeded } = await seedSavingsInsightFixture();
const result = await asUser.query(internal.savingsChat.explainSavingsRateTool, {
scope: {
from: "2026-02-01",
to: "2026-02-28",
accountId: seeded.accountId as Id<"accounts">,
basis: "effective",
},
});
expect(result).toMatchObject({
income: 3000,
expenses: -1165,
savedAmount: 1835,
savingsRate: 0.612,
fixedCosts: -1015,
variableCosts: -110,
transactionCount: 5,
});
expect(result.drivers.map((driver) => driver.name)).toEqual(["Miete", "Lebensmittel", "Ohne Kategorie"]);
expect(result.levers).toContainEqual({
label: "Variable Ausgaben um 10% senken",
monthlyImpact: 11,
});
});
test("detectRecurringTransactionsTool finds monthly patterns and skips one-offs", async () => {
const { asUser, seeded } = await seedSavingsInsightFixture();
const result = await asUser.query(internal.savingsChat.detectRecurringTransactionsTool, {
scope: {
from: "2026-01-01",
to: "2026-03-31",
accountId: seeded.accountId as Id<"accounts">,
basis: "effective",
},
});
expect(result.patterns.map((pattern) => pattern.label)).toEqual(["Gehalt", "Netflix", "Miete"]);
expect(result.patterns.find((pattern) => pattern.label === "Miete")).toMatchObject({
months: ["2026-01", "2026-02"],
occurrenceCount: 2,
averageAmount: -1000,
frequency: "monthly",
});
expect(result.patterns.map((pattern) => pattern.label)).not.toContain("Mystery Shop");
});
test("forecastFixedCostsTool forecasts recurring fixed costs for the requested horizon", async () => {
const { asUser, seeded } = await seedSavingsInsightFixture();
const result = await asUser.query(internal.savingsChat.forecastFixedCostsTool, {
scope: {
from: "2026-01-01",
to: "2026-02-28",
accountId: seeded.accountId as Id<"accounts">,
basis: "effective",
},
horizonMonths: 2,
asOf: "2026-02-28",
});
expect(result.items.map((item) => [item.label, item.averageAmount])).toEqual([
["Miete", -1000],
["Netflix", -15],
]);
expect(result.forecast).toEqual([
{ month: "2026-03", totalFixedCosts: -1015 },
{ month: "2026-04", totalFixedCosts: -1015 },
]);
});
test("findAnomaliesTool reports amount spikes and missing recurring transactions", async () => {
const { asUser, seeded } = await seedSavingsInsightFixture();
const result = await asUser.query(internal.savingsChat.findAnomaliesTool, {
scope: {
from: "2026-01-01",
to: "2026-03-31",
accountId: seeded.accountId as Id<"accounts">,
basis: "effective",
},
asOf: "2026-03-31",
});
expect(result.anomalies).toContainEqual({
kind: "amount_spike",
label: "Lebensmittel",
month: "2026-03",
amount: -500,
expectedAmount: -105,
severity: "high",
});
expect(result.anomalies).toContainEqual({
kind: "missing_recurring",
label: "Miete",
month: "2026-03",
amount: 0,
expectedAmount: -1000,
severity: "medium",
});
});
test("buildToolTraceFromSteps summarizes every insight tool without private payloads", () => {
const trace = buildToolTraceFromSteps([
{
toolResults: [
{ toolName: "get_accounts", input: {}, output: { accounts: [{ name: "Girokonto" }] } },
{ toolName: "get_categories", input: {}, output: { categories: [{ name: "Miete" }] } },
{ toolName: "detect_recurring_transactions", input: {}, output: { patterns: [{ label: "Miete" }] } },
{ toolName: "find_anomalies", input: {}, output: { anomalies: [{ label: "Lebensmittel" }] } },
{ toolName: "get_uncategorized_transactions", input: { limit: 2 }, output: { totalCount: 3, hasMore: true } },
{ toolName: "compare_periods", input: {}, output: { deltas: { balance: 590 } } },
{ toolName: "forecast_fixed_costs", input: { horizonMonths: 2 }, output: { forecast: [{}, {}] } },
{ toolName: "explain_savings_rate", input: {}, output: { savingsRate: 0.612, savedAmount: 1835 } },
],
},
]);
expect(trace.map((entry) => entry.resultSummary)).toEqual([
"1 Konto ausgewertet",
"1 Kategorie ausgewertet",
"1 wiederkehrendes Muster erkannt",
"1 Auffälligkeit erkannt",
"3 unklassifizierte Umsätze, weitere vorhanden",
"Periodenvergleich, Saldo-Differenz 590.00€",
"Fixkosten-Prognose 2 Monate",
"Sparquote 61.2%, gespart 1835.00€",
]);
expect(JSON.stringify(trace)).not.toMatch(/rawText|notes|dedupHash|externalRef|userId|_id|iban|externalId/);
});
});

View File

@@ -314,6 +314,109 @@ const categoryBreakdownValidator = v.object({
block: v.optional(v.union(v.literal("wiederkehrend"), v.literal("variabel"))),
});
const safeCategoryBreakdownValidator = v.object({
name: v.string(),
amount: v.number(),
block: v.optional(v.union(v.literal("wiederkehrend"), v.literal("variabel"))),
});
const accountInsightValidator = v.object({
name: v.string(),
type: v.string(),
currency: v.string(),
isArchived: v.boolean(),
openingBalance: v.number(),
transactionCount: v.number(),
balance: v.number(),
});
const categoryInsightValidator = v.object({
name: v.string(),
kind: v.union(v.literal("einnahme"), v.literal("ausgabe")),
block: v.optional(v.union(v.literal("wiederkehrend"), v.literal("variabel"))),
isSystem: v.boolean(),
transactionCount: v.number(),
amount: v.number(),
shareOfExpenses: v.optional(v.number()),
});
const recurringPatternValidator = v.object({
label: v.string(),
counterparty: v.optional(v.string()),
categoryName: v.optional(v.string()),
months: v.array(v.string()),
occurrenceCount: v.number(),
averageAmount: v.number(),
minAmount: v.number(),
maxAmount: v.number(),
frequency: v.literal("monthly"),
lastDate: v.string(),
nextExpectedMonth: v.string(),
});
const anomalyValidator = v.object({
kind: v.union(v.literal("amount_spike"), v.literal("missing_recurring")),
label: v.string(),
month: v.string(),
amount: v.number(),
expectedAmount: v.number(),
severity: v.union(v.literal("low"), v.literal("medium"), v.literal("high")),
});
const topCounterpartyValidator = v.object({
name: v.string(),
count: v.number(),
amount: v.number(),
});
const summarySnapshotValidator = v.object({
from: v.string(),
to: v.string(),
totals: totalsValidator,
fixedCosts: v.number(),
variableCosts: v.number(),
monthlyTrend: v.array(monthlyTrendValidator),
categoryBreakdown: v.array(safeCategoryBreakdownValidator),
});
const periodDeltasValidator = v.object({
income: v.number(),
expenses: v.number(),
balance: v.number(),
fixedCosts: v.number(),
variableCosts: v.number(),
});
const categoryDeltaValidator = v.object({
name: v.string(),
currentAmount: v.number(),
previousAmount: v.number(),
delta: v.number(),
});
const fixedCostItemValidator = v.object({
label: v.string(),
averageAmount: v.number(),
occurrenceCount: v.number(),
months: v.array(v.string()),
});
const fixedCostForecastMonthValidator = v.object({
month: v.string(),
totalFixedCosts: v.number(),
});
const savingsDriverValidator = v.object({
name: v.string(),
amount: v.number(),
shareOfExpenses: v.number(),
});
const savingsLeverValidator = v.object({
label: v.string(),
monthlyImpact: v.number(),
});
export const getContext = query({
args: contextArgsValidator,
returns: contextSummaryValidator,
@@ -529,6 +632,155 @@ function summarizeTransactions(context: ToolTransactionContext) {
};
}
function roundRatio(value: number) {
return Math.round(value * 1000) / 1000;
}
function summarizeSnapshot(
context: ToolTransactionContext,
summary: ReturnType<typeof summarizeTransactions>,
) {
return {
from: context.from,
to: context.to,
totals: summary.totals,
fixedCosts: summary.fixedCosts,
variableCosts: summary.variableCosts,
monthlyTrend: summary.monthlyTrend,
categoryBreakdown: summary.categoryBreakdown.map((entry) => ({
name: entry.name,
amount: entry.amount,
...(entry.block ? { block: entry.block } : {}),
})),
};
}
function normalizedText(value: string | undefined) {
return value?.trim().toLocaleLowerCase("de-DE") ?? "";
}
function recurringLabelForTransaction(
tx: Doc<"transactions">,
context: Pick<ToolTransactionContext, "categoryById">,
) {
const category = tx.categoryId ? context.categoryById.get(tx.categoryId) : undefined;
return tx.description.trim() || tx.counterparty?.trim() || category?.name || "Unbekannt";
}
function dateForTransaction(tx: Doc<"transactions">) {
return tx.valueDate || tx.bookingDate || tx.effectiveMonth || "n/a";
}
function monthIndexesAreConsecutive(months: string[]) {
if (months.length < 2) return false;
for (let index = 1; index < months.length; index++) {
if (parseMonthIndex(months[index]) - parseMonthIndex(months[index - 1]) !== 1) {
return false;
}
}
return true;
}
function amountSeriesIsStable(amounts: number[]) {
const average = amounts.reduce((sum, amount) => sum + amount, 0) / amounts.length;
const maxDeviation = Math.max(...amounts.map((amount) => Math.abs(amount - average)));
return maxDeviation <= Math.max(Math.abs(average) * 0.2, 5);
}
type RecurringDetectionOptions = {
beforeMonth?: string;
expensesOnly?: boolean;
fixedCategoriesOnly?: boolean;
includeUncategorized?: boolean;
};
function detectRecurringPatterns(
context: ToolTransactionContext,
options: RecurringDetectionOptions = {},
) {
const groups = new Map<
string,
{
label: string;
counterparty?: string;
categoryName?: string;
amountsByMonth: Map<string, number>;
lastDate: string;
firstCreationTime: number;
}
>();
for (const tx of context.transactions) {
if (tx.amount === 0) continue;
if (options.expensesOnly && tx.amount >= 0) continue;
if (!options.includeUncategorized && !tx.categoryId) continue;
const category = tx.categoryId ? context.categoryById.get(tx.categoryId) : undefined;
if (options.fixedCategoriesOnly && category?.block !== "wiederkehrend") continue;
const month = monthKeyFromBasis(tx, context.basis);
if (!month || (options.beforeMonth && month >= options.beforeMonth)) continue;
const label = recurringLabelForTransaction(tx, context);
const key = [
normalizedText(label),
normalizedText(tx.counterparty),
tx.categoryId ?? "none",
tx.amount > 0 ? "income" : "expense",
].join("|");
const entry = groups.get(key) ?? {
label,
counterparty: tx.counterparty,
categoryName: category?.name,
amountsByMonth: new Map<string, number>(),
lastDate: dateForTransaction(tx),
firstCreationTime: tx._creationTime,
};
entry.amountsByMonth.set(month, (entry.amountsByMonth.get(month) ?? 0) + tx.amount);
if (dateForTransaction(tx) > entry.lastDate) entry.lastDate = dateForTransaction(tx);
entry.firstCreationTime = Math.min(entry.firstCreationTime, tx._creationTime);
groups.set(key, entry);
}
return [...groups.values()]
.map((entry) => {
const monthAmounts = [...entry.amountsByMonth.entries()].sort(([a], [b]) =>
a.localeCompare(b),
);
const months = monthAmounts.map(([month]) => month);
const amounts = monthAmounts.map(([, amount]) => amount);
if (months.length < 2 || !monthIndexesAreConsecutive(months) || !amountSeriesIsStable(amounts)) {
return null;
}
const averageAmount = roundMoney(amounts.reduce((sum, amount) => sum + amount, 0) / amounts.length);
return {
label: entry.label,
counterparty: entry.counterparty,
categoryName: entry.categoryName,
months,
occurrenceCount: months.length,
averageAmount,
minAmount: roundMoney(Math.min(...amounts)),
maxAmount: roundMoney(Math.max(...amounts)),
frequency: "monthly" as const,
lastDate: entry.lastDate,
nextExpectedMonth: addMonthsToMonthKey(months[months.length - 1], 1),
};
})
.filter((pattern): pattern is NonNullable<typeof pattern> => pattern !== null)
.sort(
(a, b) =>
b.occurrenceCount - a.occurrenceCount ||
a.label.localeCompare(b.label, "de-DE") ||
a.lastDate.localeCompare(b.lastDate),
);
}
function buildCategoryAmountMap(summary: ReturnType<typeof summarizeTransactions>) {
return new Map(summary.categoryBreakdown.map((entry) => [entry.name, entry.amount]));
}
function toDisplayContextLine(
tx: Doc<"transactions">,
categoryById: Map<Id<"categories">, string>,
@@ -673,6 +925,539 @@ export const forecastCashflowTool = internalQuery({
},
});
export const getAccountsTool = internalQuery({
args: {
scope: toolScopeValidator,
from: v.optional(v.string()),
to: v.optional(v.string()),
accountId: v.optional(v.id("accounts")),
accountName: v.optional(v.string()),
includeArchived: v.optional(v.boolean()),
},
returns: v.object({
from: v.string(),
to: v.string(),
basis: v.union(v.literal("effective"), v.literal("booking")),
accounts: v.array(accountInsightValidator),
}),
handler: async (ctx, args) => {
const userId = await requireUserId(ctx);
const maps = await loadNameMaps(ctx, userId);
const range = normalizeToolRange(args.scope, args.from, args.to);
const accountId = args.accountId ?? findAccountIdByName(maps.accounts, args.accountName) ?? args.scope.accountId;
const transactions = await loadMatchingTransactions(ctx, userId, {
...range,
accountId,
basis: args.scope.basis,
});
const transactionsByAccount = new Map<Id<"accounts">, Doc<"transactions">[]>();
for (const tx of transactions) {
if (!tx.accountId) continue;
const list = transactionsByAccount.get(tx.accountId) ?? [];
list.push(tx);
transactionsByAccount.set(tx.accountId, list);
}
const accounts = maps.accounts
.filter((account) => {
if (accountId && account._id !== accountId) return false;
return args.includeArchived === true || !account.isArchived;
})
.sort((a, b) => Number(a.isArchived) - Number(b.isArchived) || a.name.localeCompare(b.name, "de-DE"))
.map((account) => {
const accountTransactions = transactionsByAccount.get(account._id) ?? [];
return {
name: account.name,
type: account.type,
currency: account.currency,
isArchived: account.isArchived,
openingBalance: roundMoney(account.openingBalance),
transactionCount: accountTransactions.length,
balance: calculateTotals(accountTransactions).balance,
};
});
return {
from: range.from,
to: range.to,
basis: args.scope.basis,
accounts,
};
},
});
export const getCategoriesTool = internalQuery({
args: {
scope: toolScopeValidator,
from: v.optional(v.string()),
to: v.optional(v.string()),
accountId: v.optional(v.id("accounts")),
accountName: v.optional(v.string()),
categoryIds: v.optional(v.array(v.id("categories"))),
categoryNames: v.optional(v.array(v.string())),
search: v.optional(v.string()),
type: v.optional(transactionTypeFilterValidator),
},
returns: v.object({
from: v.string(),
to: v.string(),
basis: v.union(v.literal("effective"), v.literal("booking")),
accountName: v.optional(v.string()),
categories: v.array(categoryInsightValidator),
}),
handler: async (ctx, args) => {
const userId = await requireUserId(ctx);
const context = await buildToolTransactionContext(ctx, userId, args);
const totalExpenses = Math.abs(calculateTotals(context.transactions).expenses);
const sortOrderByCategory = new Map(context.categories.map((category) => [category._id, category.sortOrder]));
const categoryRows = new Map<
string,
{
categoryId?: Id<"categories">;
name: string;
kind: "einnahme" | "ausgabe";
block?: "wiederkehrend" | "variabel";
isSystem: boolean;
transactionCount: number;
amount: number;
}
>();
for (const tx of context.transactions) {
const category = tx.categoryId ? context.categoryById.get(tx.categoryId) : undefined;
const key = tx.categoryId ?? "none";
const existing = categoryRows.get(key) ?? {
categoryId: tx.categoryId,
name: category?.name ?? "Ohne Kategorie",
kind: category?.kind ?? (tx.amount >= 0 ? "einnahme" : "ausgabe"),
block: category?.block,
isSystem: category?.isSystem ?? false,
transactionCount: 0,
amount: 0,
};
existing.transactionCount += 1;
existing.amount += tx.amount;
if (!category && existing.amount < 0) existing.kind = "ausgabe";
categoryRows.set(key, existing);
}
const categories = [...categoryRows.values()]
.sort((a, b) => {
const aSort = a.categoryId ? sortOrderByCategory.get(a.categoryId) ?? 0 : Number.MAX_SAFE_INTEGER;
const bSort = b.categoryId ? sortOrderByCategory.get(b.categoryId) ?? 0 : Number.MAX_SAFE_INTEGER;
return aSort - bSort || a.name.localeCompare(b.name, "de-DE");
})
.map((entry) => ({
name: entry.name,
kind: entry.kind,
...(entry.block ? { block: entry.block } : {}),
isSystem: entry.isSystem,
transactionCount: entry.transactionCount,
amount: roundMoney(entry.amount),
...(entry.amount < 0 && totalExpenses > 0
? { shareOfExpenses: roundRatio(Math.abs(entry.amount) / totalExpenses) }
: {}),
}));
return {
from: context.from,
to: context.to,
basis: context.basis,
accountName: context.accountName,
categories,
};
},
});
export const getUncategorizedTransactionsTool = internalQuery({
args: transactionToolArgsValidator,
returns: v.object({
from: v.string(),
to: v.string(),
basis: v.union(v.literal("effective"), v.literal("booking")),
accountName: v.optional(v.string()),
totalCount: v.number(),
hasMore: v.boolean(),
totals: totalsValidator,
topCounterparties: v.array(topCounterpartyValidator),
rows: v.array(safeTransactionRowValidator),
}),
handler: async (ctx, args) => {
const userId = await requireUserId(ctx);
const context = await buildToolTransactionContext(ctx, userId, {
...args,
categoryIds: undefined,
categoryNames: undefined,
});
const limit = clampToolLimit(args.limit);
const uncategorized = context.transactions.filter((tx) => !tx.categoryId);
const counterpartyMap = new Map<string, { count: number; amount: number }>();
for (const tx of uncategorized) {
const name = tx.counterparty?.trim() || tx.description.trim() || "Unbekannt";
const entry = counterpartyMap.get(name) ?? { count: 0, amount: 0 };
entry.count += 1;
entry.amount += tx.amount;
counterpartyMap.set(name, entry);
}
return {
from: context.from,
to: context.to,
basis: context.basis,
accountName: context.accountName,
totalCount: uncategorized.length,
hasMore: uncategorized.length > limit,
totals: calculateTotals(uncategorized),
topCounterparties: [...counterpartyMap.entries()]
.map(([name, entry]) => ({ name, count: entry.count, amount: roundMoney(entry.amount) }))
.sort((a, b) => b.count - a.count || Math.abs(b.amount) - Math.abs(a.amount) || a.name.localeCompare(b.name, "de-DE"))
.slice(0, 5),
rows: uncategorized.slice(0, limit).map((tx) => safeTransactionRow(tx, context)),
};
},
});
export const comparePeriodsTool = internalQuery({
args: {
scope: toolScopeValidator,
from: v.optional(v.string()),
to: v.optional(v.string()),
compareFrom: v.string(),
compareTo: v.string(),
accountId: v.optional(v.id("accounts")),
accountName: v.optional(v.string()),
categoryIds: v.optional(v.array(v.id("categories"))),
categoryNames: v.optional(v.array(v.string())),
search: v.optional(v.string()),
type: v.optional(transactionTypeFilterValidator),
},
returns: v.object({
basis: v.union(v.literal("effective"), v.literal("booking")),
accountName: v.optional(v.string()),
current: summarySnapshotValidator,
previous: summarySnapshotValidator,
deltas: periodDeltasValidator,
categoryDeltas: v.array(categoryDeltaValidator),
}),
handler: async (ctx, args) => {
const userId = await requireUserId(ctx);
const currentContext = await buildToolTransactionContext(ctx, userId, args);
const previousContext = await buildToolTransactionContext(ctx, userId, {
scope: args.scope,
from: args.compareFrom,
to: args.compareTo,
accountId: args.accountId,
accountName: args.accountName,
categoryIds: args.categoryIds,
categoryNames: args.categoryNames,
search: args.search,
type: args.type,
});
const currentSummary = summarizeTransactions(currentContext);
const previousSummary = summarizeTransactions(previousContext);
const currentCategoryMap = buildCategoryAmountMap(currentSummary);
const previousCategoryMap = buildCategoryAmountMap(previousSummary);
const categoryNames = new Set([...currentCategoryMap.keys(), ...previousCategoryMap.keys()]);
return {
basis: currentContext.basis,
accountName: currentContext.accountName,
current: summarizeSnapshot(currentContext, currentSummary),
previous: summarizeSnapshot(previousContext, previousSummary),
deltas: {
income: roundMoney(currentSummary.totals.income - previousSummary.totals.income),
expenses: roundMoney(currentSummary.totals.expenses - previousSummary.totals.expenses),
balance: roundMoney(currentSummary.totals.balance - previousSummary.totals.balance),
fixedCosts: roundMoney(currentSummary.fixedCosts - previousSummary.fixedCosts),
variableCosts: roundMoney(currentSummary.variableCosts - previousSummary.variableCosts),
},
categoryDeltas: [...categoryNames]
.map((name) => {
const currentAmount = currentCategoryMap.get(name) ?? 0;
const previousAmount = previousCategoryMap.get(name) ?? 0;
return {
name,
currentAmount,
previousAmount,
delta: roundMoney(currentAmount - previousAmount),
};
})
.sort((a, b) => a.delta - b.delta || a.name.localeCompare(b.name, "de-DE")),
};
},
});
export const explainSavingsRateTool = internalQuery({
args: {
scope: toolScopeValidator,
from: v.optional(v.string()),
to: v.optional(v.string()),
accountId: v.optional(v.id("accounts")),
accountName: v.optional(v.string()),
categoryIds: v.optional(v.array(v.id("categories"))),
categoryNames: v.optional(v.array(v.string())),
search: v.optional(v.string()),
type: v.optional(transactionTypeFilterValidator),
},
returns: v.object({
from: v.string(),
to: v.string(),
income: v.number(),
expenses: v.number(),
savedAmount: v.number(),
savingsRate: v.union(v.number(), v.null()),
fixedCosts: v.number(),
variableCosts: v.number(),
transactionCount: v.number(),
drivers: v.array(savingsDriverValidator),
levers: v.array(savingsLeverValidator),
}),
handler: async (ctx, args) => {
const userId = await requireUserId(ctx);
const context = await buildToolTransactionContext(ctx, userId, args);
const summary = summarizeTransactions(context);
const totalExpenses = Math.abs(summary.totals.expenses);
const drivers = summary.categoryBreakdown.slice(0, 3).map((entry) => ({
name: entry.name,
amount: entry.amount,
shareOfExpenses: totalExpenses > 0 ? roundRatio(Math.abs(entry.amount) / totalExpenses) : 0,
}));
const levers = [];
if (summary.variableCosts < 0) {
levers.push({
label: "Variable Ausgaben um 10% senken",
monthlyImpact: roundMoney(Math.abs(summary.variableCosts) * 0.1),
});
}
if (summary.fixedCosts < 0) {
levers.push({
label: "Fixkosten um 5% senken",
monthlyImpact: roundMoney(Math.abs(summary.fixedCosts) * 0.05),
});
}
return {
from: context.from,
to: context.to,
income: summary.totals.income,
expenses: summary.totals.expenses,
savedAmount: summary.totals.balance,
savingsRate: summary.totals.income > 0 ? roundRatio(summary.totals.balance / summary.totals.income) : null,
fixedCosts: summary.fixedCosts,
variableCosts: summary.variableCosts,
transactionCount: summary.totals.transactionCount,
drivers,
levers,
};
},
});
export const detectRecurringTransactionsTool = internalQuery({
args: {
scope: toolScopeValidator,
from: v.optional(v.string()),
to: v.optional(v.string()),
accountId: v.optional(v.id("accounts")),
accountName: v.optional(v.string()),
categoryIds: v.optional(v.array(v.id("categories"))),
categoryNames: v.optional(v.array(v.string())),
search: v.optional(v.string()),
type: v.optional(transactionTypeFilterValidator),
},
returns: v.object({
from: v.string(),
to: v.string(),
basis: v.union(v.literal("effective"), v.literal("booking")),
accountName: v.optional(v.string()),
patterns: v.array(recurringPatternValidator),
}),
handler: async (ctx, args) => {
const userId = await requireUserId(ctx);
const context = await buildToolTransactionContext(ctx, userId, args);
return {
from: context.from,
to: context.to,
basis: context.basis,
accountName: context.accountName,
patterns: detectRecurringPatterns(context),
};
},
});
export const forecastFixedCostsTool = internalQuery({
args: {
scope: toolScopeValidator,
from: v.optional(v.string()),
to: v.optional(v.string()),
accountId: v.optional(v.id("accounts")),
accountName: v.optional(v.string()),
horizonMonths: v.optional(v.number()),
asOf: v.optional(v.string()),
},
returns: v.object({
from: v.string(),
to: v.string(),
basis: v.union(v.literal("effective"), v.literal("booking")),
accountName: v.optional(v.string()),
items: v.array(fixedCostItemValidator),
forecast: v.array(fixedCostForecastMonthValidator),
}),
handler: async (ctx, args) => {
const userId = await requireUserId(ctx);
const context = await buildToolTransactionContext(ctx, userId, args);
const fixedGroups = new Map<
string,
{ label: string; amountsByMonth: Map<string, number> }
>();
for (const tx of context.transactions) {
if (tx.amount >= 0 || !tx.categoryId) continue;
const category = context.categoryById.get(tx.categoryId);
if (category?.block !== "wiederkehrend") continue;
const month = monthKeyFromBasis(tx, context.basis);
if (!month) continue;
const label = recurringLabelForTransaction(tx, context);
const key = [normalizedText(label), tx.categoryId, normalizedText(tx.counterparty)].join("|");
const entry = fixedGroups.get(key) ?? { label, amountsByMonth: new Map<string, number>() };
entry.amountsByMonth.set(month, (entry.amountsByMonth.get(month) ?? 0) + tx.amount);
fixedGroups.set(key, entry);
}
const items = [...fixedGroups.values()]
.map((entry) => {
const monthAmounts = [...entry.amountsByMonth.entries()].sort(([a], [b]) =>
a.localeCompare(b),
);
const months = monthAmounts.map(([month]) => month);
const amounts = monthAmounts.map(([, amount]) => amount);
return {
label: entry.label,
averageAmount: roundMoney(amounts.reduce((sum, amount) => sum + amount, 0) / amounts.length),
occurrenceCount: months.length,
months,
};
})
.filter((item) => item.months.length > 0)
.sort((a, b) => a.averageAmount - b.averageAmount || a.label.localeCompare(b.label, "de-DE"));
const horizonMonths = Math.max(1, Math.min(6, Math.floor(args.horizonMonths ?? 3)));
const asOfMonth = (args.asOf ?? context.to).slice(0, 7);
const totalFixedCosts = roundMoney(items.reduce((sum, item) => sum + item.averageAmount, 0));
return {
from: context.from,
to: context.to,
basis: context.basis,
accountName: context.accountName,
items,
forecast: Array.from({ length: horizonMonths }, (_, index) => ({
month: addMonthsToMonthKey(asOfMonth, index + 1),
totalFixedCosts,
})),
};
},
});
export const findAnomaliesTool = internalQuery({
args: {
scope: toolScopeValidator,
from: v.optional(v.string()),
to: v.optional(v.string()),
accountId: v.optional(v.id("accounts")),
accountName: v.optional(v.string()),
asOf: v.optional(v.string()),
},
returns: v.object({
from: v.string(),
to: v.string(),
basis: v.union(v.literal("effective"), v.literal("booking")),
accountName: v.optional(v.string()),
anomalies: v.array(anomalyValidator),
}),
handler: async (ctx, args) => {
const userId = await requireUserId(ctx);
const context = await buildToolTransactionContext(ctx, userId, args);
const targetMonth = (args.asOf ?? context.to).slice(0, 7);
const amountByCategoryMonth = new Map<string, Map<string, number>>();
const amountByRecurringLabelMonth = new Map<string, Map<string, number>>();
for (const tx of context.transactions) {
const month = monthKeyFromBasis(tx, context.basis);
if (!month) continue;
const category = tx.categoryId ? context.categoryById.get(tx.categoryId) : undefined;
const categoryName = category?.name ?? "Ohne Kategorie";
const categoryMonthMap = amountByCategoryMonth.get(categoryName) ?? new Map<string, number>();
categoryMonthMap.set(month, (categoryMonthMap.get(month) ?? 0) + tx.amount);
amountByCategoryMonth.set(categoryName, categoryMonthMap);
if (tx.categoryId) {
const label = recurringLabelForTransaction(tx, context);
const recurringMonthMap = amountByRecurringLabelMonth.get(label) ?? new Map<string, number>();
recurringMonthMap.set(month, (recurringMonthMap.get(month) ?? 0) + tx.amount);
amountByRecurringLabelMonth.set(label, recurringMonthMap);
}
}
const anomalies: Array<{
kind: "amount_spike" | "missing_recurring";
label: string;
month: string;
amount: number;
expectedAmount: number;
severity: "low" | "medium" | "high";
}> = [];
for (const [label, amountsByMonth] of amountByCategoryMonth.entries()) {
const currentAmount = roundMoney(amountsByMonth.get(targetMonth) ?? 0);
if (currentAmount >= 0) continue;
const baseline = [...amountsByMonth.entries()]
.filter(([month, amount]) => month < targetMonth && amount < 0)
.map(([, amount]) => amount);
if (baseline.length < 2) continue;
const expectedAmount = roundMoney(baseline.reduce((sum, amount) => sum + amount, 0) / baseline.length);
const ratio = Math.abs(currentAmount) / Math.max(Math.abs(expectedAmount), 1);
if (ratio >= 2 && Math.abs(currentAmount - expectedAmount) >= 100) {
anomalies.push({
kind: "amount_spike",
label,
month: targetMonth,
amount: currentAmount,
expectedAmount,
severity: ratio >= 3 ? "high" : "medium",
});
}
}
for (const pattern of detectRecurringPatterns(context, { beforeMonth: targetMonth })) {
if (pattern.nextExpectedMonth !== targetMonth) continue;
const actualAmount = roundMoney(amountByRecurringLabelMonth.get(pattern.label)?.get(targetMonth) ?? 0);
if (actualAmount === 0) {
anomalies.push({
kind: "missing_recurring",
label: pattern.label,
month: targetMonth,
amount: 0,
expectedAmount: pattern.averageAmount,
severity: "medium",
});
}
}
return {
from: context.from,
to: context.to,
basis: context.basis,
accountName: context.accountName,
anomalies: anomalies.sort(
(a, b) =>
(b.severity === "high" ? 2 : b.severity === "medium" ? 1 : 0) -
(a.severity === "high" ? 2 : a.severity === "medium" ? 1 : 0) ||
a.label.localeCompare(b.label, "de-DE"),
),
};
},
});
export const getPromptContext = internalQuery({
args: contextArgsValidator,
returns: v.object({
@@ -748,6 +1533,10 @@ function totalsFromOutput(output: Record<string, unknown>) {
};
}
function countLabel(count: number, singular: string, plural: string) {
return `${count} ${count === 1 ? singular : plural}`;
}
function summarizeToolOutput(toolName: string, output: unknown) {
const record = unknownRecord(output);
if (toolName === "get_transactions") {
@@ -773,6 +1562,49 @@ function summarizeToolOutput(toolName: string, output: unknown) {
return `Prognose ${projectionCount} Monate, durchschnittlicher Saldo ${formatEuro(balance)}`;
}
if (toolName === "get_accounts") {
const count = Array.isArray(record.accounts) ? record.accounts.length : 0;
return `${countLabel(count, "Konto", "Konten")} ausgewertet`;
}
if (toolName === "get_categories") {
const count = Array.isArray(record.categories) ? record.categories.length : 0;
return `${countLabel(count, "Kategorie", "Kategorien")} ausgewertet`;
}
if (toolName === "detect_recurring_transactions") {
const count = Array.isArray(record.patterns) ? record.patterns.length : 0;
return `${count} ${count === 1 ? "wiederkehrendes Muster" : "wiederkehrende Muster"} erkannt`;
}
if (toolName === "find_anomalies") {
const count = Array.isArray(record.anomalies) ? record.anomalies.length : 0;
return `${count} ${count === 1 ? "Auffälligkeit" : "Auffälligkeiten"} erkannt`;
}
if (toolName === "get_uncategorized_transactions") {
const count = maybeNumber(record.totalCount) ?? 0;
const hasMore = record.hasMore === true;
return `${count} unklassifizierte Umsätze, ${hasMore ? "weitere vorhanden" : "vollständig"}`;
}
if (toolName === "compare_periods") {
const deltas = unknownRecord(record.deltas);
const balance = maybeNumber(deltas.balance) ?? 0;
return `Periodenvergleich, Saldo-Differenz ${formatEuro(balance)}`;
}
if (toolName === "forecast_fixed_costs") {
const count = Array.isArray(record.forecast) ? record.forecast.length : 0;
return `Fixkosten-Prognose ${count} Monate`;
}
if (toolName === "explain_savings_rate") {
const savingsRate = maybeNumber(record.savingsRate) ?? 0;
const savedAmount = maybeNumber(record.savedAmount) ?? 0;
return `Sparquote ${(savingsRate * 100).toFixed(1)}%, gespart ${formatEuro(savedAmount)}`;
}
return "Werkzeug ausgeführt";
}
@@ -814,6 +1646,50 @@ const forecastToolInputSchema = z.object({
horizonMonths: z.number().int().min(1).max(3).optional().describe("Anzahl der zu prognostizierenden Monate, 1 bis 3."),
});
const accountToolInputSchema = z.object({
from: z.string().optional().describe("Optionales Startdatum im Format YYYY-MM-DD."),
to: z.string().optional().describe("Optionales Enddatum im Format YYYY-MM-DD."),
accountName: z.string().optional().describe("Optionaler Kontoname, falls nur ein Konto betrachtet werden soll."),
includeArchived: z.boolean().optional().describe("Archivierte Konten einbeziehen."),
});
const recurringToolInputSchema = summaryToolInputSchema;
const anomalyToolInputSchema = z.object({
from: z.string().optional().describe("Optionales Startdatum im Format YYYY-MM-DD."),
to: z.string().optional().describe("Optionales Enddatum im Format YYYY-MM-DD."),
accountName: z.string().optional().describe("Optionaler Kontoname, falls von der UI-Auswahl abweichend."),
asOf: z.string().optional().describe("Stichtag für erwartete Muster im Format YYYY-MM-DD."),
});
const uncategorizedToolInputSchema = z.object({
from: z.string().optional().describe("Optionales Startdatum im Format YYYY-MM-DD."),
to: z.string().optional().describe("Optionales Enddatum im Format YYYY-MM-DD."),
accountName: z.string().optional().describe("Optionaler Kontoname, falls von der UI-Auswahl abweichend."),
search: z.string().optional().describe("Optionaler Suchtext für Beschreibung oder Gegenpartei."),
type: z.enum(["income", "expense"]).optional().describe("Optional nur Einnahmen oder Ausgaben abrufen."),
limit: z.number().int().min(1).max(MAX_TOOL_ROW_LIMIT).optional().describe("Maximale Anzahl Umsatzzeilen."),
});
const comparePeriodsToolInputSchema = z.object({
from: z.string().optional().describe("Startdatum des aktuellen Zeitraums im Format YYYY-MM-DD."),
to: z.string().optional().describe("Enddatum des aktuellen Zeitraums im Format YYYY-MM-DD."),
compareFrom: z.string().describe("Startdatum des Vergleichszeitraums im Format YYYY-MM-DD."),
compareTo: z.string().describe("Enddatum des Vergleichszeitraums im Format YYYY-MM-DD."),
accountName: z.string().optional().describe("Optionaler Kontoname, falls von der UI-Auswahl abweichend."),
categoryNames: z.array(z.string()).optional().describe("Optionale Kategorienamen für den Vergleich."),
search: z.string().optional().describe("Optionaler Suchtext für beide Zeiträume."),
type: z.enum(["income", "expense"]).optional().describe("Optional nur Einnahmen oder Ausgaben vergleichen."),
});
const fixedCostsForecastToolInputSchema = z.object({
from: z.string().optional().describe("Optionales Startdatum der historischen Fixkostenbasis im Format YYYY-MM-DD."),
to: z.string().optional().describe("Optionales Enddatum der historischen Fixkostenbasis im Format YYYY-MM-DD."),
accountName: z.string().optional().describe("Optionaler Kontoname, falls von der UI-Auswahl abweichend."),
horizonMonths: z.number().int().min(1).max(6).optional().describe("Anzahl der zu prognostizierenden Monate, 1 bis 6."),
asOf: z.string().optional().describe("Stichtag für den Start der Prognose im Format YYYY-MM-DD."),
});
export const ask = action({
args: {
messages: v.array(chatMessageValidator),
@@ -903,6 +1779,86 @@ export const ask = action({
...input,
}),
}),
get_accounts: tool({
description:
"Listet read-only Konten mit Typ, Währung, Archivstatus, Startsaldo, Umsatzanzahl und Zeitraumssaldo. Nutze es für Fragen nach Konten, Konto-Scope oder Datenabdeckung.",
inputSchema: accountToolInputSchema,
execute: async (input) =>
await ctx.runQuery(internal.savingsChat.getAccountsTool, {
scope,
...input,
}),
}),
get_categories: tool({
description:
"Listet read-only Kategorien mit Art, Fix/Variabel-Block, Umsatzanzahl, Summe und Ausgabenanteil im Zeitraum. Nutze es für Kategorie- und Budgetstrukturfragen.",
inputSchema: summaryToolInputSchema,
execute: async (input) =>
await ctx.runQuery(internal.savingsChat.getCategoriesTool, {
scope,
...input,
}),
}),
detect_recurring_transactions: tool({
description:
"Erkennt deterministisch monatlich wiederkehrende Muster nach Beschreibung, Gegenpartei, Kategorie und stabiler Betragshöhe. Nutze es für Miete, Gehalt, Abos und regelmäßige Abbuchungen.",
inputSchema: recurringToolInputSchema,
execute: async (input) =>
await ctx.runQuery(internal.savingsChat.detectRecurringTransactionsTool, {
scope,
...input,
}),
}),
find_anomalies: tool({
description:
"Findet read-only auffällige Betragsausreißer und fehlende erwartete wiederkehrende Buchungen gegenüber historischen Mustern.",
inputSchema: anomalyToolInputSchema,
execute: async (input) =>
await ctx.runQuery(internal.savingsChat.findAnomaliesTool, {
scope,
...input,
}),
}),
get_uncategorized_transactions: tool({
description:
"Ruft bounded und sanitizt unklassifizierte Umsätze mit Summen und Top-Gegenparteien ab. Nutze es für Datenqualität und Fragen nach fehlenden Kategorien.",
inputSchema: uncategorizedToolInputSchema,
execute: async (input) =>
await ctx.runQuery(internal.savingsChat.getUncategorizedTransactionsTool, {
scope,
...input,
}),
}),
compare_periods: tool({
description:
"Vergleicht zwei Zeiträume deterministisch mit Totals, Monatsverlauf, Kategorie-Deltas und Fix/Variabel-Deltas.",
inputSchema: comparePeriodsToolInputSchema,
execute: async (input) =>
await ctx.runQuery(internal.savingsChat.comparePeriodsTool, {
scope,
...input,
}),
}),
forecast_fixed_costs: tool({
description:
"Prognostiziert wiederkehrende Fixkosten für 1 bis 6 Monate aus Fixkosten-Kategorien und stabilen historischen Monatsmustern.",
inputSchema: fixedCostsForecastToolInputSchema,
execute: async (input) =>
await ctx.runQuery(internal.savingsChat.forecastFixedCostsTool, {
scope,
...input,
}),
}),
explain_savings_rate: tool({
description:
"Berechnet Sparquote, gesparten Betrag, fixe und variable Kostenquote, Haupttreiber und konkrete Hebel aus exakten Aggregaten.",
inputSchema: summaryToolInputSchema,
execute: async (input) =>
await ctx.runQuery(internal.savingsChat.explainSavingsRateTool, {
scope,
...input,
}),
}),
};
const envModel = process.env.SAVINGS_CHAT_MODEL?.trim();