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Drishti Shah

OpenAI Responses API vs. Chat Completions vs. Anthropic Messages API

OpenAI Responses API vs. Chat Completions vs. Anthropic Messages API

A side-by-side comparison of OpenAI's Chat Completions, Responses API, and Anthropic's Messages API, covering key differences, use cases, and how to avoid vendor lock-in with Portkey.

Introducing the MCP Gateway

Introducing the MCP Gateway

Your interns need three approvals to touch production. Your AI agents? Zero. With MCP, agents can take real action – connect to databases, trigger workflows, access internal systems. The protocol just works. But here's what we kept hearing from teams actually running MCP in production: "How do I

LLM hallucinations in production

LLM hallucinations in production

Hallucinations in LLM applications increase at scale. This blog explains how AI gateways and guardrails help control, detect, and contain hallucinations in production systems.

OpenCode: token usage, costs, and access control

OpenCode: token usage, costs, and access control

A practical guide to managing OpenCode token usage, costs, and governance in shared or production environments.

MCP tool discovery for autonomous LLM agents

A concise summary of the MCP-Zero paper, explaining how active tool discovery enables scalable, autonomous LLM agents while reducing context overhead.

Enterprise MCP access control: managing tools, servers, and agents

Enterprise MCP access control: managing tools, servers, and agents

Learn how MCP access control works and how enterprises can govern MCP tools and agents safely in production environments.

What is a virtual MCP server: Need, benefits, use cases

What is a virtual MCP server: Need, benefits, use cases

As teams use more MCP servers, virtual MCP servers help simplify provisioning by combining tools into a single interface. See how they help, and use cases.