Kuldeep Paul

Learn how to monitor LLM API costs in production with real-time token tracking, per-team attribution, and budget enforcement at the gateway layer using Bifrost. LLM API costs scale linearly with token volume, and in production they tend to scale faster than anyone forecasts. A single prompt regression, a

OpenRouter has become one of the most widely used model aggregation platforms, offering developers a single API key to access hundreds of LLMs with unified billing. For prototyping and experimentation, it delivers genuine value. But as AI teams move from sandbox to production, OpenRouter's managed-only architecture introduces

As AI applications move from prototypes to revenue-generating products, the infrastructure layer between your application and LLM providers has become mission-critical. Provider outages, inconsistent API formats, unpredictable rate limits, and runaway token costs are now familiar pain points for engineering teams shipping AI features at scale. An LLM

Run Claude Code with OpenAI models like GPT-5 and GPT-4o using Bifrost, the open-source AI gateway. Step-by-step setup, zero code changes. Running Claude Code with OpenAI models is one of the most common requests from engineering teams that have standardized on Anthropic's terminal-