Drishti Shah articles - 60 total
Claude Code agents: what they are, how they work, and how to scale them
Claude Code is now the most widely used AI coding agent. We all know what it does. The harder...
LLM Deployment Pipeline Explained Step by Step
LLM deployment is the process of taking a trained language model and converting it into a...
The best approach to compare LLM outputs
Once LLMs are in production, output quality stops being a subjective question and becomes an...
Open AI Responses API vs. Chat Completions vs. Anthropic Messages API
The LLM API landscape has never been more fragmented, or more consequential. As teams move from...
Introducing the MCP Gateway!
Your interns need three approvals to touch production. Your AI agents? Zero. With MCP, agents can...
MCP tool discovery for autonomous LLM agents
Large language model agents are increasingly expected to work with real systems like files, APIs,...
Enterprise MCP access control: managing tools, servers, and agents
MCP has moved fast. Source What started as a convenient way to plug tools into an AI workflow is...
What is a virtual MCP server: Need, benefits, use cases
MCP adoption inside organizations has moved quickly beyond single-developer setups. What started...
Understanding MCP Authorization
MCP makes it possible for AI models and agents to interact with external tools, APIs, and data...
LLM routing techniques for high-volume applications
High-volume AI applications don't depend on a single model or provider. Routing steps in as the...
LLM access control in multi-provider environments
Most organizations have already adopted a mix of AI providers and open source models. This...
Buyer’s guide to LLM observability tools
Observability for LLM systems has evolved from a debugging utility to a business function. When AI...
AI cost observability: A practical guide to understanding and managing LLM spend
In most organizations, model access has scaled faster than cost visibility. Teams know their total...
Gemini 3.0 vs GPT-5.1: a clear comparison for builders
Frontier models continue to shape how teams build AI apps, agents, and multimodal systems. As...
From standard to ecosystem: the new MCP updates, Nov 2025
When the MCP was first introduced, it aimed to solve a clear problem: LLMs, tools, and agents all...
Claude Skills: definition, use cases, and limitations
Over the past year, we’ve seen AI assistants evolve from generic chat interfaces into structured,...
How Snorkel evaluates and trains top AI models
When Agents go off the rails <!--kg-card-begin: html-->Examine this chart and...
The complete guide to LLM observability for 2026
Large language models are now critical to how organizations build products, automate workflows, and...
Portkey Named a Cool Vendor in the 2025 Gartner® Cool Vendors™ in LLM Observability Report
As AI adoption moves from experiments to production, observability has become a core part of...
What we think of the Opentelemetry semantic conventions for GenAI traces
Portkey view of Langgraph agent traces At Portkey, observability for your applications is something...
Comparing lean LLMs: GPT-5 Nano and Claude Haiku 4.5
Large language models are getting faster, smaller, and more specialized. The industry is no longer...
Using OpenAI AgentKit with Anthropic, Gemini and other providers
AgentKit is OpenAI’s new framework for building and running AI agents. It includes 3 parts: *Agent...
The most reliable AI gateway for production systems
The conversation around AI infrastructure has evolved. For teams building AI-powered products, the...
Claude Sonnet 4.5 vs GPT-5: performance, efficiency, and pricing compared.
Claude Sonnet 4.5 and GPT-5 are the newest flagship models from Anthropic and OpenAI. Both were...
Securing enterprise AI with gateways and guardrails
Enterprises are accelerating their adoption of generative AI, but alongside the opportunity comes...
MCP Message Types: Complete MCP JSON-RPC Reference Guide
The Model Context Protocol (MCP) uses JSON-RPC 2.0 for all communication between clients and servers....
Failover routing strategies for LLMs in production
If you’re running LLMs in production, you’ve seen them fail. Providers go down, rate limits kick...
Architecting for Trust: A Strategic Perspective on the MCP Registry for the Enterprise
The recent announcement of the official MCP Registry is a significant milestone, signaling a new...
GPT 5 vs Claude 4
When it comes to frontier AI models, two names dominate the conversation today: GPT-5 from OpenAI and...
Simplifying MCP server authentication for enterprises
Model Context Protocol (MCP) is quickly becoming the standard way to connect AI agents with the...