c7a75d069d
* feat(ai): job-shaped AI service with OpenAI-compatible backend, extraction-first; stop extracting every inbox document twice Sovereign plan WS1 PR1 (#1406 Tier 2, extraction-first, aligned with the AI surface audit). lib/ai grows a job-shaped service (generateText / generateStructured / extractFromDocument; no streaming members yet, see plan rule R3): - services/anthropic-family delegates to the existing createAiClient() and sends the exact request literals the inbox extractor sent before (request-shape tests deep-equal them), so hosted Bedrock stays byte-identical. - services/openai-compatible talks to any chat-completions endpoint (BYO Swedish provider) via Vercel AI SDK 6.x, exact-pinned and guarded: images as parts, PDFs rasterized with poppler (AI_PDF_MODE) or sent natively, AI_VISION / AI_STRICT_JSON declared, honest skips (ai_no_vision, pdf_rasterizer_missing) instead of fake failures. - config.ts: AI_PROVIDER/AI_BASE_URL/AI_API_KEY/AI_MODEL and per-tier AI_*_MODEL with the legacy BEDROCK_* names kept as the same overrides; getAiStatus() is the single source of truth for "is AI wired up". - provider.ts: openai-compatible in the auto-detect chain (after Bedrock and the direct API); createAiClient() refuses it loudly. Document extraction moves onto the service and gets the audit's fixes: - Inbox documents were extracted TWICE (pipeline A ran inside uploadDocument() before the inbox row existed, so its dedupe branch never fired; 3 707 + 1 666 calls / 30 d). The inbox now declares extractionOwner on the upload, the extension yields, and the inbox mirrors its single outcome onto document_attachments from every writer (sync, deferred, attach, retry, MCP). - Every "no extraction will ever happen" outcome is stamped (skipped:no_ai_entitlement / ai_unconfigured / system_generated / ...); the status route maps the quiet ones to 'disabled' on the first poll instead of a 30 s client timeout. Prod showed 309 of the 327 never-extracted uploads were the paywall working silently. - Self-generated documents (our own invoice PDFs, payout files) are no longer OCR'd. - Agent invoke answers 503 ai_unconfigured when the deployment has no assistant backend, distinct from the paywall. Guard: new direct-ai-client antipattern check (shrink-only allowlist of the pre-abstraction SDK callers) plus exact pins for @anthropic-ai/sdk, ai and @ai-sdk/openai-compatible. Verified: 15 958 unit tests green, guards, lint ratchet, typecheck, and a live smoke against hosted Bedrock through the new service (ping, streamed tool turn, thinking+cache, PDF extraction). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * feat(ai): make AI_API_KEY optional for OpenAI-compatible endpoints (keyless local model servers) A local model server (llama.cpp's server, Ollama /v1, LM Studio, vLLM) usually has no auth. Before, the OpenAI-compatible backend required both AI_BASE_URL and AI_API_KEY to count as configured, so running Accounted on a local model meant setting a meaningless placeholder key. - resolveAiProvider / hasAiCredentials: a base URL alone is now enough. - services/openai-compatible: only send Authorization: Bearer when AI_API_KEY is set, so a keyless server is never handed an empty bearer; a hosted provider that needs a key still sets it. - Docs (SELF-HOSTING Option 3: local-model example, key marked optional), DECISIONS. Verified: with no AI_API_KEY, just AI_BASE_URL + AI_MODEL, getAiStatus() reports configured=true / provider=openai-compatible (live). lib/ai suite 71 green; tsc, guards, lint clean. Bedrock/Anthropic logic unchanged. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Jakob Wennberg <311770904+jakobwennberg-oss@users.noreply.github.com> Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
54 lines
2.3 KiB
TypeScript
54 lines
2.3 KiB
TypeScript
import { describe, it, expect, vi, beforeEach } from 'vitest'
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import { createQueuedMockSupabase } from '@/tests/helpers'
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const { supabase, enqueue, reset, findCalls } = createQueuedMockSupabase()
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vi.mock('@/lib/auth/api-keys', () => ({
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createServiceClientNoCookies: () => supabase,
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}))
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import { mirrorExtractionToDocument } from '../lib/mirror-extraction'
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function lastUpdate() {
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const updates = findCalls('document_attachments', 'update')
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return updates[updates.length - 1]?.[0] as { extracted_data: unknown; extraction_model: string; extracted_at: string }
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}
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beforeEach(() => {
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vi.clearAllMocks()
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reset()
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enqueue({ data: null })
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})
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describe('mirrorExtractionToDocument', () => {
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it('writes a successful extraction with the model that answered', async () => {
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await mirrorExtractionToDocument('doc-1', {
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data: { supplier: { name: 'x' } } as never,
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rawText: '{"supplier":{"name":"x"}}',
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model: 'google/gemma-4-31B-it',
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})
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const u = lastUpdate()
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expect(u.extracted_data).toEqual({ supplier: { name: 'x' } })
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expect(u.extraction_model).toBe('google/gemma-4-31B-it')
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expect(u.extracted_at).toBeTruthy()
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expect(findCalls('document_attachments', 'eq')[0]).toEqual(['id', 'doc-1'])
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})
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it('writes skipped:<reason> with no data for inbox and AI skip reasons alike', async () => {
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await mirrorExtractionToDocument('doc-1', { data: {} as never, rawText: null, skipped: 'no_ai_entitlement' })
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expect(lastUpdate()).toMatchObject({ extracted_data: null, extraction_model: 'skipped:no_ai_entitlement' })
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await mirrorExtractionToDocument('doc-1', { data: {} as never, rawText: null, skipped: 'ai_no_vision' })
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expect(lastUpdate()).toMatchObject({ extracted_data: null, extraction_model: 'skipped:ai_no_vision' })
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})
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it('writes failed:no_raw_text when the call yielded nothing parseable', async () => {
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await mirrorExtractionToDocument('doc-1', { data: {} as never, rawText: null })
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expect(lastUpdate()).toMatchObject({ extracted_data: null, extraction_model: 'failed:no_raw_text' })
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})
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it('never throws: a failed update is logged and swallowed', async () => {
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reset()
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enqueue({ error: { message: 'rls says no' } })
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await expect(mirrorExtractionToDocument('doc-1', { data: {} as never, rawText: null })).resolves.toBeUndefined()
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})
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})
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