LLM Ops is an AI tool designed to monitor and improve the costs associated with various AI platforms such as OpenAI, Claude, and Google's Gemini. Created for AI-focused teams, it features a simple integration process with just two lines of code, providing a way to gain clear insights on where each expense goes by model, agent, and API call.
It gives real-time visibility across these AI platforms, enabling users to see which models consume the most of their budget. It can also detect cost peaks before they appear on the invoice, allowing for better resource management.
Another major feature of LLM Ops is its recommendation system for data-driven decisions based on AI-driven optimization suggestions. The tool is designed with a focus on security; it does not store any API keys and maintains less than 10ms latency overhead.
Currently, it is used by many AI teams for API cost tracking and is implemented by both startups and enterprises. The LLM Ops tool is in its early access phase, giving early users certain benefits like influencer status in roadmap decisions and free lifelong access.
Detailed API cost analysis
Simple code integration
Cost tracking across multiple providers
Possible latency increase
Code changes needed for integration
Early access version

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