Rene Fichtmueller
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2ca77d0aee
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feat: Phase 2F — Multi-Agent Integration (ADRs + Client Fallback + Tests)
- ADR-0001: Multi-Agent Coworking Architecture with LLM Gateway Orchestrator
- ADR-0002: Tier Assignment Strategy for Model Selection (cost-first escalation)
- ADR-0003: Confidence Gate Thresholds & Learning Cycle Intervals (6h/12h/24h cycles)
- ADR-0004: External Provider Fallback Chain Ordering (Cerebras → Groq → Mistral)
- Enhanced client SDK: Offline Ollama fallback, health checks, exponential backoff retry
- Integration tests: claude-code-integration.test.ts (14 test cases)
- PHASE_2F_DEPLOYMENT.md: Pre-deployment checklist, automated deploy, rollback plan
- Post-deployment verification procedures for health, client fallback, metrics
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2026-04-19 21:39:44 +02:00 |
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Rene Fichtmueller
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b68d5c3fbf
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fix: client CompletionResponse matches actual gateway response fields
- Match field names: id, status, confidence, model, task_type, latency_ms, tokens, output
- Default URL now https://llm-gateway.context-x.org (public endpoint)
- ShieldX client uses 'shieldx' caller (not 'internal')
- tokens.in/tokens.out instead of token_count.input/output
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2026-04-02 23:17:14 +02:00 |
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Rene Fichtmueller
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3a00ff4d33
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feat: initial llm-gateway implementation
- Complete Fastify gateway with 8-stage pipeline
- Circuit breaker (opossum) per model tier
- Rate limiting per caller
- Ban list validation (EN/DE/auto-detected)
- TIP validator (SFF-8024, part numbers, wavelengths)
- Prometheus metrics
- pg-boss async queue
- PostgreSQL audit log + review queue
- 9 prompt templates (TIP, LinkedIn, ShieldX)
- Learning engine scaffolding
- Auto-learning: ban-list, few-shot, routing, prompt optimizer
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2026-04-02 22:48:55 +02:00 |
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