Kuldeep Paul

Kuldeep Paul

Agentic AI | LLM | Product Management | Product Marketing | Data Science | SaaS

How Bifrost's Adaptive Model Routing and Fallback Logic Works

How Bifrost's Adaptive Model Routing and Fallback Logic Works

Adaptive model routing and automatic fallback logic keep LLM apps running through provider outages. See how Bifrost handles both at the gateway layer. Adaptive model routing is the practice of selecting which LLM provider, model, and API key should handle each request at runtime, based on live signals like provider

Complete Guide to LLM Logging, OTEL Tracing, and Observability in Bifrost

Complete Guide to LLM Logging, OTEL Tracing, and Observability in Bifrost

Learn how Bifrost delivers LLM observability with built-in logging, native OpenTelemetry (OTEL) tracing, Prometheus metrics, and multi-backend support. LLM observability has become a non-negotiable requirement for any team running AI workloads in production. Once requests start fanning out across multiple providers, models, and teams, the inputs, outputs,

Using Bedrock, Vertex, Gemini, and Anthropic AI Models Through Bifrost

Using Bedrock, Vertex, Gemini, and Anthropic AI Models Through Bifrost

Route AWS Bedrock, Google Vertex AI, Gemini, and Anthropic through one OpenAI-compatible API with Bifrost. Unified auth, failover, and governance. Enterprise AI teams rarely run a single model from a single provider. A typical production stack pulls Claude from AWS Bedrock for one set of workloads, Gemini from Google

Managing Virtual Keys and Budgets in Bifrost: A Complete Guide

Managing Virtual Keys and Budgets in Bifrost: A Complete Guide

Learn how virtual keys and budgets in Bifrost give platform teams hierarchical cost control, rate limits, and access governance across every LLM provider. Enterprise AI spending is now the fastest-growing line item in most engineering budgets, but the controls around it have not caught up. Gartner forecasts global AI

Deploying Bifrost on Kubernetes with Helm: Best Practices and Common Pitfalls

Deploying Bifrost on Kubernetes with Helm: Best Practices and Common Pitfalls

Deploy Bifrost on Kubernetes with Helm using production-tested best practices, configuration patterns, and fixes for the most common deployment pitfalls. Teams adopting AI gateways at scale need a reproducible, declarative way to ship infrastructure into Kubernetes. The official chart makes it possible to deploy Bifrost on Kubernetes with Helm

Claude Skills: How Anthropic's Agent Skills Work

Claude Skills: How Anthropic's Agent Skills Work

Claude Skills are modular capabilities that extend Claude with domain expertise. Learn how Agent Skills work, where they run, and how to evaluate them. Claude Skills are reusable capability packages that let Anthropic's Claude perform specialized tasks consistently across products. Introduced in late 2025, Claude Skills (also called

OpenRouter vs LiteLLM vs Bifrost: AI Gateway Comparison

OpenRouter vs LiteLLM vs Bifrost: AI Gateway Comparison

Compare OpenRouter vs LiteLLM vs Bifrost on performance, governance, MCP support, and deployment. Find the right AI gateway for production workloads. Teams running production AI workloads almost always end up evaluating an AI gateway. A direct integration with one provider works for a prototype, but it breaks down the moment