pixeloffice/llm-smartrouter-benchmark

LLM SmartRouter & Agent Highway Latency & Cost Benchmark (v1.4.0)

Empirical performance benchmark dataset comparing direct model endpoints (OpenAI, Anthropic Claude, Google Gemini) against the PixelRouter / BLUN SmartRouter proxy layer and Autonomous Agent Web Highway (https://api.pixeloffice.eu/v1).

v1.4.0 Benchmark Highlights

• Anthropic Claude Messages API: Sub-35ms proxy routing for native /v1/messages payloads with 94%+ cost savings.
• Machine Web Highway (/v1/reader): Cleans noisy HTML/DOM into structured Markdown with Top 1KB Fact Anchors, cutting token consumption by 92% to 98%.
• Exact Prompt Match Caching: Instant cache replay at 1ms TTFT / 1ms total latency and 100% token cost reduction.
• Sentinel Failover Resilience: Transparent re-routing to Gemini 2.5 Flash within 15ms on simulated upstream 429/5xx provider outages.

Schema

• query_type: Task classification (code_generation, anthropic_claude_messages, agent_web_reader_cleansing, in_memory_exact_cache_hit, sentinel_failover_reroute, deep_reasoning, fast_chat, multi_file_analysis).
• target_model: Routed model or infrastructure engine.
• ttft_ms: Time-To-First-Token in milliseconds.
• total_latency_ms: End-to-end response completion time in milliseconds.
• token_compression_pct: Reduction in context payload via Fact Anchoring or DOM Cleansing.
• cost_per_1m_tokens: Cost in USD compared to raw proprietary APIs.
• status: Execution health check (200_ok).

Reference

Maintained by Pixel Office EU and available via pip install pixeloffice-router or npm install @pixeloffice-eu/router.