Logify360 Information

Logify360 is the observatory for production AI. You keep your models. You keep your clients. You change one line. After that, every outbound call is witnessed: the prompt, the tokens, the latency, the cost, the trail of tools an agent walked before it answered. Nothing theatrical. A record. Quiet, complete, and difficult to unsee. The product is LLM observability: request logging, cost tracking, agent tracing, evaluations, anomaly detection, and security scanning. It sits on the path between your application and ten providers - OpenAI, Anthropic, Gemini, Azure OpenAI, Groq, Mistral, OpenRouter, DeepSeek, xAI, and Cohere. Swap a baseURL and the ledger starts. Add the SDK, a framework callback, or OTLP if you want the full family tree of spans, parents, children, and the critical path that actually burned the time. It is built for people who ship AI and then have to explain it. The engineer staring at a cost spike at 2 a.m. The team whose RAG bot began answering with a different voice last Tuesday. The agency that must show, per customer, exactly what was spent and why. Every plan includes the same instruments. Free, Pro, Team, and Enterprise differ in volume, seats, and how long the past remains in view. Your request data operates the product. It is not used to train a Logify360 model. Provider keys never appear in logs or the dashboard. They are encrypted at rest, decrypted only at the moment of the upstream call, then discarded. Patterns that look like API keys in a prompt are masked before a row is written. Detectors for SSN, card numbers, email, IBAN, and passport numbers flag at log time without blocking the request. Logify360 does not guess what your AI did. It was there when it did it.