Files
breakpilot-compliance/admin-compliance/lib/sdk/drafting-engine/__tests__/llm-cascade.test.ts
T
Benjamin Admin 90a70c8404
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fix(drafting): Drafting-Engine auf prod reparieren — RAG via ai-sdk + OVH-LLM-Kaskade
Die Drafting-Engine (Dokument-Entwurf, v2-Pipeline, Validierung, Drafting-Chat,
Vendor-Vertragspruefung) war auf prod doppelt tot:
- RAG ueber bp-core-rag-service:8097 (existiert auf prod nicht)
- LLM ueber OLLAMA_URL/api/chat mit qwen2.5vl (prod = ollama-embed, kein Chat-Modell)

Fix (analog zum Compliance-Advisor):
- rag-query.ts -> ai-compliance-sdk /sdk/v1/rag/search (bge-m3, prod-erreichbar).
- Neue lib/sdk/drafting-engine/llm-cascade.ts: OVH/LiteLLM (gpt-oss-120b) zuerst,
  Ollama als Dev-Fallback; cascadeComplete (JSON) + cascadeStream. Das Backend nutzt
  OVH+JSON bereits erfolgreich auf prod (extract-datasheet).
- 5 Aufrufstellen (draft-helpers, draft-helpers-v2, validate, chat, vendor-review)
  auf die Kaskade umgestellt; keine direkten Ollama-Calls mehr.
- Tests: llm-cascade + rag-query aktualisiert.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-19 10:02:06 +02:00

82 lines
3.2 KiB
TypeScript

/**
* Tests fuer die Drafting-Engine LLM-Kaskade (OVH -> Ollama) + Stream-Parser.
*/
import { describe, it, expect, beforeEach, afterEach, vi } from 'vitest'
const mockFetch = vi.fn()
vi.stubGlobal('fetch', mockFetch)
describe('llm-cascade parser', () => {
it('parseOllamaLine extrahiert message.content', async () => {
const { parseOllamaLine } = await import('../llm-cascade')
expect(parseOllamaLine('{"message":{"content":"X"}}')).toBe('X')
expect(parseOllamaLine('')).toBeNull()
expect(parseOllamaLine('kaputt')).toBeNull()
})
it('parseSSELine extrahiert delta.content', async () => {
const { parseSSELine } = await import('../llm-cascade')
expect(parseSSELine('data: {"choices":[{"delta":{"content":"Y"}}]}')).toBe('Y')
expect(parseSSELine('data: [DONE]')).toBeNull()
expect(parseSSELine('event: ping')).toBeNull()
})
})
describe('cascadeComplete', () => {
beforeEach(() => {
vi.resetModules()
mockFetch.mockReset()
})
afterEach(() => {
vi.unstubAllEnvs()
})
it('nutzt OVH zuerst wenn konfiguriert (json + response_format)', async () => {
vi.stubEnv('OVH_LLM_URL', 'https://ovh.test')
vi.stubEnv('OVH_LLM_MODEL', 'gpt-oss-120b')
vi.stubEnv('OVH_LLM_KEY', 'k')
const { cascadeComplete } = await import('../llm-cascade')
mockFetch.mockResolvedValueOnce({
ok: true,
json: async () => ({ choices: [{ message: { content: '{"ok":1}' } }], usage: { completion_tokens: 42 } }),
})
const r = await cascadeComplete([{ role: 'user', content: 'hi' }], { json: true, maxTokens: 1000 })
expect(r).toEqual({ content: '{"ok":1}', tokensUsed: 42, provider: 'ovh' })
const [url, opts] = mockFetch.mock.calls[0]
expect(url).toContain('/v1/chat/completions')
const body = JSON.parse(opts.body)
expect(body.response_format).toEqual({ type: 'json_object' })
expect(body.stream).toBe(false)
})
it('faellt auf Ollama zurueck wenn OVH nicht konfiguriert ist', async () => {
const { cascadeComplete } = await import('../llm-cascade')
mockFetch.mockResolvedValueOnce({
ok: true,
json: async () => ({ message: { content: 'hallo' }, eval_count: 7 }),
})
const r = await cascadeComplete([{ role: 'user', content: 'hi' }])
expect(r).toEqual({ content: 'hallo', tokensUsed: 7, provider: 'ollama' })
expect(mockFetch.mock.calls[0][0]).toContain('/api/chat')
})
it('faellt auf Ollama zurueck wenn OVH einen Fehler liefert', async () => {
vi.stubEnv('OVH_LLM_URL', 'https://ovh.test')
vi.stubEnv('OVH_LLM_MODEL', 'gpt-oss-120b')
const { cascadeComplete } = await import('../llm-cascade')
mockFetch
.mockResolvedValueOnce({ ok: false, status: 502 })
.mockResolvedValueOnce({ ok: true, json: async () => ({ message: { content: 'fallback' }, eval_count: 3 }) })
const r = await cascadeComplete([{ role: 'user', content: 'hi' }])
expect(r?.provider).toBe('ollama')
expect(r?.content).toBe('fallback')
})
it('liefert null wenn weder OVH noch Ollama antworten', async () => {
const { cascadeComplete } = await import('../llm-cascade')
mockFetch.mockResolvedValue({ ok: false, status: 500 })
expect(await cascadeComplete([{ role: 'user', content: 'hi' }])).toBeNull()
})
})