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Opus 5.5 + Jev 双核决策流水线,成本降到 1/3400

把 1000 次决策从纯 Opus 的 480 美元压到 0.14 美元:Opus 出方案、Jev 打分并弃权、Rust 校验执行,附 6 阶段运行时与延迟成本实测。

Trackmind
@0xTrackmind29 天前收录原推发布于 2026.10.04
Opus 5.5 + Jev 双核决策流水线,成本降到 1/3400
Trackmind @0xTrackmind原推发布于 2026.10.04
在 X 上打开原推

burning raw claude opus 5.5 on routine branching is financial suicide 1,000 decision cycles on a cold frontier model: $480 the exact same workload routed through an opus 5.5 + jev dual-core harness: $0.14 the multi-agent architecture that solves the latency-cost bottleneck: opus drafts logic. jev scores fast typed choices. deterministic rust keeps execution authority. here is the 6-stage runtime pipeline: -> 1. propose - opus 5.5 in high effort synthesizes plans, diffs, and hypotheses (zero execution authority) -> 2. prune - host runtime filters out unsupported options before any model sees them -> 3. score - jev evaluates valid candidates with calibrated probabilities, or executes a hard abstain -> 4. validate - local rust engine re-checks selected actions against live state before acting -> 5. execute - sandboxed tool runners execute strictly verified commands -> 6. ledger - structured cryptographic receipts are recorded for offline replay and audit the live benchmark profile: -> 180ms median decision latency -> ~$0.00014 cost per step ($0.042/M input tokens, zero output fee) -> 50 of 50 agent benchmarks completed (100% pass) the breakthrough insight: calibrate uncertainty. when jev is only 35% confident, it abstains - triggering a pre-compiled fallback instead of letting opus make a $0.48 hallucinated guess. architecture beats brute-force compute every time. save this framework for your next production build.

这条是引用着另一条写的:「Jev 把路由打分验证做成决策层」

x.com/0xtrackmind/status/2106459138884882479采集于 2026.10.04 10:04