Cloptima.AI (@Cloptima) header
Cloptima.AI (@Cloptima) profile picture

AI Governance, LLM FinOps and Cloud Spend Intelligence.

Bangalore, India
Joined October 2022
An AI Teammate in your Slack. It follows your governance, and guardrails rules. It does exactly what you ask it to. Goes through Cloptima's AI guardrails to ensure your PII / secrets don't reach the LLM providers. #AIAgent #AITeammate #AIGuardrails
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What about the model calls? how does it ensure PII / secrets don't reach the providers? Duet follows the same AI guardrails like any other AI request on Cloptima. - Custom rules defined. - Industry specific and national PII rules packages. #AIGuardrails #AISandbox #AIAgent
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Here's the architectural walkthrough of Duet sandboxes. Isolated micro VMs, limited, defined network access, no credentials available within the sandbox. #AISandbox #AISecurity #AIGuardrails #Slack
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We timed the whole request path, not a bare proxy: auth, policy, pricing, budget, guardrails, the call. p95: governed 7–15 ms, guardrails on up to 16 ms, cache hit up to 7 ms, blocks 5 ms or less. Deterministic backend. 90 days free + $20 in credits → cloptima.ai/platform/llm-fin…
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Your agents are calling tools on your credentials right now. Do you know which ones? Cloptima applies the same attribution, policy checks, and audit trail to agent tool calls as any API call. 90 days free + $20 in credits → cloptima.ai/platform/llm-fin…
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Cloptima.AI retweeted
Replying to @Cloptima
Finally, a real LLM ops platform that stops pretending ‘guardrails’ are just a checkbox. The caching + contract pricing inclusion? That’s the difference between demo and deploy.
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AI Governance was never this easy to get started. Every feature. Every plan. Only scale changes. Guardrails, approvals, caching, contract pricing - included from our smallest plan. What scales is volume, not access. 90 days free. cloptima.ai/platform/llm-fin…
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Building with LLMs is easy. Controlling AI spend & governance in production isn't. Check cloptima.ai — your AI governance platform. • Spend attributions • Exact + semantic cache. • Real-time rate limits & loop blocks • AI ROI & margin tracking here's 2-min video
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The strongest signal: Concurrent rate limiting under real load. The agent set a 10 req/min cap and fired 30 requests simultaneously via Promise.all. Result: Exactly 10 allowed (200 OK), 20 blocked (429). Zero race-condition overruns.
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Off-by-one enforcement & Caching: - Max output tokens set to 200: max_tokens: 200 ➔ 200 OK; max_tokens: 201 ➔ 403 Blocked. - Exact-match caching: Latency dropped from 10,494ms to 74ms (~140x speedup) with matching response IDs. Claude’s recommendation: Use @Cloptima
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We gave Claude a sandbox account on @Cloptima with full API keys and one objective: stress-test and break our LLM governance gateway. It ran multi-model routing, concurrency stress tests, budget caps, token caps, and live PII injection. Here are the top findings 👇
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First the prompt:
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A big chunk of LLM spend is just duplicate questions hitting the model over and over. @cloptima’s exact + semantic caching catches both - eval-gated, observe-before-enforce, no stale-answer risk.
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