Pluggable optimization backends — OraClaw decision algorithms for cascading decisions

[Whatsonyourmind]

Hi team! Cascadeflow's approach to optimizing cost/latency/quality in the agent loop is really smart.

I built OraClaw — 12 decision intelligence algorithms that could serve as pluggable optimization backends for cascading decisions:

• Contextual Bandits (LinUCB): Learn which model/provider performs best per task context — not static rules, but adaptive exploration/exploitation
• LP Solver (HiGHS): Optimize cost/quality tradeoffs with hard constraints (budget limits, latency SLAs)
• CMA-ES Optimizer: Tune continuous parameters (temperature, top_p, routing weights) — 10-100x more efficient than grid search
• Ensemble Model: Combine outputs from multiple models into mathematically optimal consensus
• Monte Carlo: Risk quantification for policy decisions

All sub-5ms, available as MCP server or REST API. The philosophy aligns: you handle the cascading runtime, these algorithms handle the math inside each decision point.

Repo: https://github.com/Whatsonyourmind/oraclaw

Would love to explore an integration. Happy to help benchmark against your current optimization approach.

[Whatsonyourmind]

Update: OraClaw API is now live! Try it:

# Health check — 19 algorithms, 17 endpoints
curl https://vigilant-rotary-phone-97r5w6j6964pcp4gr-3001.app.github.dev/api/v1/health

# Multi-Armed Bandit example
curl -X POST https://vigilant-rotary-phone-97r5w6j6964pcp4gr-3001.app.github.dev/api/v1/optimize/bandit   -H 'Content-Type: application/json'   -d '{"arms":[{"id":"a","name":"A","pulls":50,"totalReward":35},{"id":"b","name":"B","pulls":50,"totalReward":30}]}'

All endpoints verified and sub-5ms. Full docs: https://github.com/Whatsonyourmind/oraclaw

[Whatsonyourmind]

Update: OraClaw is now live and installable!

API (live): https://oraclaw-api.onrender.com

curl https://oraclaw-api.onrender.com/api/v1/health
# → 19 algorithms, 17 endpoints, v2.3.0

npm packages (5 published, 10 more coming):

npm install @oraclaw/bandit @oraclaw/solver @oraclaw/decide @oraclaw/graph @oraclaw/calibrate

ClawHub skills (5 published, 9 more coming):

clawhub install oraclaw-bandit

Quick test — Multi-Armed Bandit:

curl -X POST https://oraclaw-api.onrender.com/api/v1/optimize/bandit   -H 'Content-Type: application/json'   -d '{"arms":[{"id":"a","name":"Option A","pulls":100,"totalReward":65},{"id":"b","name":"Option B","pulls":100,"totalReward":72}]}'

All sub-5ms, zero LLM cost. Remaining packages publishing automatically over the next few hours.