Files
accounted/lib/ai/__tests__/anthropic-family.test.ts
T
ff4425d10e feat(agent): let the single-call assistant read the ledger via read-only MCP tools (#1767)
The /chat assistant (audit Option A / rip) shipped in #1759 reading only the
company name + entity type, so it answered "jag har ingen bokföringsdata" to
every figures question ("vad är min största utgiftspost?"). It now behaves like
an MCP client: it answers over a bounded, READ-only tool loop across the same
MCP read tools the old streaming assistant had, plus an always-on company
snapshot as the backstop.

Provider-agnostic by construction, so it still runs on a local model:
- lib/ai generateText gains optional `tools` + `maxSteps`. The OpenAI-compatible
  service forwards them to the Vercel AI SDK (stopWhen: stepCountIs), which runs
  the loop; the Anthropic-family service hand-rolls a small loop against
  messages.create. Kept on the raw Anthropic SDK: no new deps, and the no-tools
  path is byte-identical, so hosted extraction/composer/etc. are unchanged.
- lib/agent/ask/ledger-tools.ts: the read slice of general.help's whitelist
  (income statement, VAT, ledgers, query_journal, reskontror, lists…) from
  agentToolRegistry, dispatched with the agent_chat actor run-turn uses. Write/
  staging + memory-write tools are excluded; readOnlyHint/destructiveHint are
  re-checked. Empty in a core-only build → snapshot-only, graceful.
- lib/agent/ask/snapshot.ts: a compact company_settings + deadlines block so a
  model that can't/won't call tools still answers status questions. Never carries
  figures (those come from the live tools).
- ask-service attaches tools + snapshot when a userId is present and uses a
  tool-aware system prompt; the route calls ensureInitialized() so the registry
  is populated and threads userId/conversationId through.

Works on Bedrock and on any local model with function-calling (Qwen). Tests:
the anthropic hand-rolled loop (tool call → result → answer, is_error handling,
step-budget forced answer), openai tool forwarding, the read-only adapter
filter, the snapshot format, and the ask-service wiring. 457 agent+ai tests
green, lint/guards clean.

Co-authored-by: Jakob Wennberg <311770904+jakobwennberg-oss@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
2026-08-20 21:18:21 +02:00

303 lines
12 KiB
TypeScript

import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest'
// Drive the service against a fake Bedrock client: the point of these tests
// is the REQUEST SHAPE. Hosted stays byte-identical only if the service sends
// exactly the literals the call sites sent before the abstraction existed.
const mockCreate = vi.fn()
vi.mock('@anthropic-ai/bedrock-sdk', () => {
class FakeBedrock {
messages = { create: mockCreate }
}
return { default: FakeBedrock }
})
import { readAiConfig } from '../config'
import { createAnthropicFamilyService, buildAnthropicDocumentContent } from '../services/anthropic-family'
const ENV = ['AWS_ACCESS_KEY_ID', 'AWS_SECRET_ACCESS_KEY', 'ANTHROPIC_API_KEY', 'AI_PROVIDER', 'AI_BASE_URL', 'AI_API_KEY', 'BEDROCK_MODEL_ID', 'AI_EXTRACTION_MODEL', 'AI_MODEL'] as const
let saved: Record<string, string | undefined> = {}
beforeEach(() => {
vi.clearAllMocks()
saved = {}
for (const k of ENV) {
saved[k] = process.env[k]
delete process.env[k]
}
process.env.AWS_ACCESS_KEY_ID = 'AKIAEXAMPLE'
process.env.AWS_SECRET_ACCESS_KEY = 'secret'
mockCreate.mockResolvedValue({
content: [{ type: 'text', text: '{"ok":true}' }],
usage: { input_tokens: 10, output_tokens: 5, cache_read_input_tokens: 7, cache_creation_input_tokens: 0 },
})
})
afterEach(() => {
for (const k of ENV) {
if (saved[k] === undefined) delete process.env[k]
else process.env[k] = saved[k]
}
})
const SYSTEM = 'You extract fields.'
const INSTRUCTION = 'Extract the fields per the schema. JSON only.'
describe('extractFromDocument request shape (hosted regression net)', () => {
it('sends a PDF exactly as the inbox extractor did: cached system block, document part, instruction', async () => {
const svc = createAnthropicFamilyService(readAiConfig())
const pdf = Buffer.from('%PDF-1.4')
const result = await svc.extractFromDocument({
document: { kind: 'pdf', data: pdf, fileName: 'faktura.pdf' },
system: SYSTEM,
instruction: INSTRUCTION,
maxTokens: 8192,
})
expect(result.ok).toBe(true)
expect(mockCreate).toHaveBeenCalledTimes(1)
expect(mockCreate.mock.calls[0][0]).toEqual({
model: 'eu.anthropic.claude-sonnet-5',
max_tokens: 8192,
system: [{ type: 'text', text: SYSTEM, cache_control: { type: 'ephemeral' } }],
messages: [
{
role: 'user',
content: [
{
type: 'document',
source: { type: 'base64', media_type: 'application/pdf', data: pdf.toString('base64') },
},
{ type: 'text', text: INSTRUCTION },
],
},
],
})
})
it('sends an image as a base64 image block with its media type', async () => {
const svc = createAnthropicFamilyService(readAiConfig())
const jpeg = Buffer.from('JPEG')
await svc.extractFromDocument({
document: { kind: 'image', data: jpeg, mediaType: 'image/jpeg' },
system: SYSTEM,
instruction: INSTRUCTION,
maxTokens: 8192,
})
expect(mockCreate.mock.calls[0][0].messages[0].content).toEqual([
{ type: 'image', source: { type: 'base64', media_type: 'image/jpeg', data: jpeg.toString('base64') } },
{ type: 'text', text: INSTRUCTION },
])
})
it('sends converted HTML as two text blocks', async () => {
const svc = createAnthropicFamilyService(readAiConfig())
await svc.extractFromDocument({
document: { kind: 'text', text: 'The document is an HTML email invoice, converted to plain text:\n\nTotal 100' },
system: SYSTEM,
instruction: INSTRUCTION,
maxTokens: 8192,
})
expect(mockCreate.mock.calls[0][0].messages[0].content).toEqual([
{ type: 'text', text: 'The document is an HTML email invoice, converted to plain text:\n\nTotal 100' },
{ type: 'text', text: INSTRUCTION },
])
})
it('returns the text, model and usage', async () => {
const svc = createAnthropicFamilyService(readAiConfig())
const result = await svc.extractFromDocument({
document: { kind: 'text', text: 'x' },
system: SYSTEM,
instruction: INSTRUCTION,
maxTokens: 100,
})
expect(result).toEqual({
ok: true,
text: '{"ok":true}',
model: 'eu.anthropic.claude-sonnet-5',
usage: { inputTokens: 10, outputTokens: 5, cacheCreationInputTokens: 0, cacheReadInputTokens: 7 },
})
})
it('honours the extraction tier override (legacy BEDROCK_MODEL_ID)', async () => {
process.env.BEDROCK_MODEL_ID = 'claude-sonnet-4-6'
const svc = createAnthropicFamilyService(readAiConfig())
await svc.extractFromDocument({ document: { kind: 'text', text: 'x' }, system: SYSTEM, instruction: INSTRUCTION, maxTokens: 1 })
expect(mockCreate.mock.calls[0][0].model).toBe('eu.anthropic.claude-sonnet-4-6')
})
it('skips without a call when the deployment has no credentials', async () => {
delete process.env.AWS_ACCESS_KEY_ID
delete process.env.AWS_SECRET_ACCESS_KEY
const svc = createAnthropicFamilyService(readAiConfig())
const result = await svc.extractFromDocument({ document: { kind: 'text', text: 'x' }, system: SYSTEM, instruction: INSTRUCTION, maxTokens: 1 })
expect(result).toEqual({ ok: false, skipped: 'ai_unconfigured' })
expect(mockCreate).not.toHaveBeenCalled()
})
})
describe('generateText / generateStructured', () => {
it('generateText sends a plain user message with an optional system string', async () => {
const svc = createAnthropicFamilyService(readAiConfig())
const result = await svc.generateText({ tier: 'assistant', system: 'S', prompt: 'Hej', maxTokens: 50 })
expect(mockCreate.mock.calls[0][0]).toEqual({
model: 'eu.anthropic.claude-sonnet-5',
max_tokens: 50,
system: 'S',
messages: [{ role: 'user', content: 'Hej' }],
})
expect(result.text).toBe('{"ok":true}')
})
it('generateStructured forces one named tool and returns its input', async () => {
mockCreate.mockResolvedValueOnce({
content: [{ type: 'tool_use', id: 't1', name: 'verdict', input: { paired: true } }],
usage: { input_tokens: 1, output_tokens: 1 },
})
const svc = createAnthropicFamilyService(readAiConfig())
const schema = { type: 'object', properties: { paired: { type: 'boolean' } }, required: ['paired'] }
const result = await svc.generateStructured({
tier: 'heavy',
prompt: 'Decide',
maxTokens: 200,
schema: { name: 'verdict', description: 'd', jsonSchema: schema },
})
expect(mockCreate.mock.calls[0][0]).toEqual({
model: 'eu.anthropic.claude-sonnet-5',
max_tokens: 200,
tools: [{ name: 'verdict', description: 'd', input_schema: schema }],
tool_choice: { type: 'tool', name: 'verdict' },
messages: [{ role: 'user', content: 'Decide' }],
})
expect(result.value).toEqual({ paired: true })
})
it('generateStructured throws when the model ignored the forced tool', async () => {
mockCreate.mockResolvedValueOnce({ content: [{ type: 'text', text: 'nope' }], usage: {} })
const svc = createAnthropicFamilyService(readAiConfig())
await expect(
svc.generateStructured({ tier: 'assistant', prompt: 'x', maxTokens: 10, schema: { name: 'v', jsonSchema: {} } })
).rejects.toThrow(/forced tool/)
})
})
describe('buildAnthropicDocumentContent', () => {
it('is a pure function of the document and instruction', () => {
expect(buildAnthropicDocumentContent({ kind: 'text', text: 'a' }, 'b')).toEqual([
{ type: 'text', text: 'a' },
{ type: 'text', text: 'b' },
])
})
})
describe('generateText read-only tool loop', () => {
it('calls a tool, feeds the JSON result back, and returns the final answer with summed usage', async () => {
const execute = vi.fn().mockResolvedValue({ largest: '5010', amount: 12345 })
const svc = createAnthropicFamilyService(readAiConfig())
// Turn 1: the model asks for a report.
mockCreate.mockResolvedValueOnce({
stop_reason: 'tool_use',
content: [
{ type: 'text', text: 'Kollar.' },
{ type: 'tool_use', id: 'tu_1', name: 'gnubok_get_income_statement', input: { period: '2026-07' } },
],
usage: { input_tokens: 10, output_tokens: 5 },
})
// Turn 2: the model answers with the figure.
mockCreate.mockResolvedValueOnce({
stop_reason: 'end_turn',
content: [{ type: 'text', text: 'Din största utgift är 12 345 kr (konto 5010).' }],
usage: { input_tokens: 20, output_tokens: 8 },
})
const result = await svc.generateText({
tier: 'assistant',
system: 'S',
prompt: 'Vad är min största utgift?',
maxTokens: 500,
tools: [
{ name: 'gnubok_get_income_statement', description: 'd', jsonSchema: { type: 'object' }, execute },
],
maxSteps: 4,
})
expect(execute).toHaveBeenCalledWith({ period: '2026-07' })
expect(result.text).toBe('Din största utgift är 12 345 kr (konto 5010).')
expect(mockCreate).toHaveBeenCalledTimes(2)
// First turn carries the tools; second turn carries the tool_result.
expect(mockCreate.mock.calls[0][0].tools[0].name).toBe('gnubok_get_income_statement')
const secondMessages = mockCreate.mock.calls[1][0].messages
expect(secondMessages).toHaveLength(3) // user, assistant(tool_use), user(tool_result)
const toolResult = secondMessages[2].content[0]
expect(toolResult.type).toBe('tool_result')
expect(toolResult.tool_use_id).toBe('tu_1')
expect(JSON.parse(toolResult.content)).toEqual({ largest: '5010', amount: 12345 })
// Usage summed across both turns.
expect(result.usage.inputTokens).toBe(30)
expect(result.usage.outputTokens).toBe(13)
})
it('surfaces a tool failure as an is_error result rather than throwing', async () => {
const execute = vi.fn().mockRejectedValue(new Error('report timeout'))
const svc = createAnthropicFamilyService(readAiConfig())
mockCreate.mockResolvedValueOnce({
stop_reason: 'tool_use',
content: [{ type: 'tool_use', id: 'tu', name: 'gnubok_get_vat_report', input: {} }],
usage: { input_tokens: 1, output_tokens: 1 },
})
mockCreate.mockResolvedValueOnce({
stop_reason: 'end_turn',
content: [{ type: 'text', text: 'Kunde inte hämta momsrapporten just nu.' }],
usage: { input_tokens: 1, output_tokens: 1 },
})
const result = await svc.generateText({
tier: 'assistant',
prompt: 'Momsen?',
maxTokens: 100,
tools: [{ name: 'gnubok_get_vat_report', description: 'd', jsonSchema: {}, execute }],
})
const toolResult = mockCreate.mock.calls[1][0].messages[2].content[0]
expect(toolResult.is_error).toBe(true)
expect(JSON.parse(toolResult.content).error).toContain('report timeout')
expect(result.text).toBe('Kunde inte hämta momsrapporten just nu.')
})
it('forces a final tools-off answer when the step budget is exhausted', async () => {
const execute = vi.fn().mockResolvedValue({ ok: true })
const svc = createAnthropicFamilyService(readAiConfig())
// Every turn keeps asking for the tool → never terminates on its own.
mockCreate.mockResolvedValue({
stop_reason: 'tool_use',
content: [{ type: 'tool_use', id: 'tu', name: 't', input: {} }],
usage: { input_tokens: 1, output_tokens: 1 },
})
// The forced final turn (index 2) returns real text.
mockCreate.mockResolvedValueOnce({
stop_reason: 'tool_use',
content: [{ type: 'tool_use', id: 'tu', name: 't', input: {} }],
usage: { input_tokens: 1, output_tokens: 1 },
})
mockCreate.mockResolvedValueOnce({
stop_reason: 'tool_use',
content: [{ type: 'tool_use', id: 'tu', name: 't', input: {} }],
usage: { input_tokens: 1, output_tokens: 1 },
})
mockCreate.mockResolvedValueOnce({
stop_reason: 'end_turn',
content: [{ type: 'text', text: 'Sammanfattning utan fler verktygsanrop.' }],
usage: { input_tokens: 1, output_tokens: 1 },
})
const result = await svc.generateText({
tier: 'assistant',
prompt: 'x',
maxTokens: 100,
tools: [{ name: 't', description: 'd', jsonSchema: {}, execute }],
maxSteps: 2,
})
// 2 loop turns + 1 forced final = 3 calls; the final call omits tools.
expect(mockCreate).toHaveBeenCalledTimes(3)
expect(mockCreate.mock.calls[2][0].tools).toBeUndefined()
expect(result.text).toBe('Sammanfattning utan fler verktygsanrop.')
})
})