Operate large language models at scale with prompt management, evaluation, and monitoring.
LLM Ops is one of 70 specialized agent skills built into the Multos AI platform. When you describe a task related to ai/ml, this skill activates automatically — bringing domain-specific knowledge about llm ops, prompt engineering, llm monitoring directly into your development workflow.
Generates LLM application infrastructure: prompt management, response caching, token cost tracking, rate limiting across providers, fallback chains, and evaluation pipelines. Handles prompt versioning, A/B testing prompts, and monitoring for hallucinations and quality regression.
class LLMGateway {
async complete(prompt: string, opts: LLMOpts) {
const cached = await this.cache.get(hash(prompt + opts.model));
if (cached) return cached;
try {
const result = await this.providers[opts.model].complete(prompt);
await this.cache.set(hash(prompt + opts.model), result, { ttl: 3600 });
await this.metrics.track({ model: opts.model, tokens: result.usage, cost: calculateCost(result) });
return result;
} catch (e) {
return this.fallback(prompt, opts); // Try next provider
}
}
}A company spending $15K/month on LLM APIs built a gateway with semantic caching (40% cache hit rate), automatic fallback between providers, token budget alerts, and prompt A/B testing — reducing costs to $8K while improving response quality through systematic evaluation.
The LLM Ops skill is a specialized AI capability within Multos AI that operate large language models at scale with prompt management, evaluation, and monitoring. It activates automatically when your prompt relates to ai/ml tasks, providing expert-level guidance and production-ready code.
No. Multos AI uses intent detection to activate the LLM Ops skill automatically when your request involves llm ops. There's no setup, no plugins to install, and no configuration files to manage.
All 33 models on Multos AI can leverage the LLM Ops skill. For complex ai/ml tasks, we recommend models with larger context windows like Claude Opus 4.6 (1M tokens) or Gemini 3.1 Pro (1M tokens). For quick iterations, faster models like GPT-5.4 Mini or Claude Haiku 4.5 work well.
Yes. You can connect your GitHub, GitLab, or Bitbucket repository to Multos AI and the LLM Ops skill will work with your existing codebase. It understands your project structure, dependencies, and coding patterns to provide contextual assistance.
Yes, all 70 agent skills including LLM Ops are available on every plan. Free users get access to lite-tier models, while paid plans unlock more powerful models for complex ai/ml tasks.
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