Blog
Practical guides on AI agent governance, the Agentic Gateway, and building production-ready agent infrastructure.
The 4 Control Modes of AI Governance
The AI gateway was the wrong unit. Governance needs a framework that covers the traffic you control, the traffic you observe, and the traffic you don't know exists. Here are the 4 Control Modes that define the category.
5-Minute LangChain Observability: Cost, Latency, and Policy Without Rewriting a Line
Your LangChain agent is a black box in production. Here's how to get cost per run, full trace history, and policy enforcement by changing one environment variable — no SDK swap, no code rewrite.
LangSmith vs Control Plane: Observability Isn't Enough
LangSmith and Helicone show you what your LLMs did. A control plane stops them from doing it. Here is the gap between LLM observability and AI agent governance.
Why CrewAI Agents Need an External Control Plane
CrewAI is great for building multi-agent workflows. It is not a governance platform. Here is why production CrewAI deployments need an external control plane.
Shadow AI: The Metric You're Not Measuring
Your org has 10× more AI in production than you think. Here's why traditional DLP misses it, what the right metric looks like, and how to build a governance score your board can trust.
Prompt Injection Defense: 14 Firewall Hooks Before the LLM
Prompt injection is the top AI agent attack vector. Here are 14 firewall hooks that run before the LLM sees a request — from auth to DLP to content shield.
Agent Mode Quickstart: First Managed LLM Call in 2 Minutes
Register a named AI agent, get a service key, and fire a pre-filled test request — all in 2 minutes. The new Agent Mode quickstart in Dobby's Agentic Gateway.
Connect Google ADK Agents to Dobby: MCP, A2A, and Webhook Integration (3 Paths)
Integrate agents built with Google's Agent Development Kit (ADK) via MCP, A2A, or webhooks. Monitoring, approval gates, and per-agent cost tracking — with working code examples.
Headless AI Agent SDK: Manage CrewAI and LangChain from CI/CD, Terraform, or Code
Register, trigger, schedule, and cost-track CrewAI / LangChain / custom AI agents from CI/CD pipelines, Terraform, or another AI agent. New in @dobbyai/sdk v0.2.0 (Python + JavaScript).
Per-Agent LLM Cost Tracking: How We Built a Gateway for 13 Providers (OpenAI, Claude, Gemini)
Most teams know their total LLM spend. Few know which agent costs what. How we built an agentic gateway that breaks down cost per agent, per model, per day — across 13 providers, with one line of code.
External AI Agent Management: Schedule, Trigger, and Audit CrewAI + n8n from One Place
Your AI agents run on CrewAI, n8n, Make, LangChain, or custom infrastructure. Add scheduling, webhook triggers, approval gates, and audit trails — without touching agent code.
AI Agent Security: 5 Critical Risks Most Teams Ignore (and How to Fix Them)
Prompt injection, credential exposure, data leakage, model poisoning, uncontrolled access — the 5 AI agent security risks most teams miss. Plus the defenses that actually work in production.
AI Agent Control Plane: The Missing Infrastructure Layer for 2026
Kubernetes gave containers a control plane. Datadog did it for servers. AI agents are next — and the stakes are higher. What a control plane actually delivers, and why every AI team needs one.
AI Agent Cost Control: 7 Token Budgets and Quotas That Stop Runaway LLM Spend
A single runaway AI agent can burn your monthly LLM budget in a weekend. 7 controls — token budgets, per-provider quotas, circuit breakers — that keep AI agent spend predictable.
Dobby AI Quickstart: Connect Your First AI Agent in 5 Minutes
A practical step-by-step guide to connecting your first AI agent to Dobby, setting up governance policies, and running your first fully monitored and audited task.
AI Agent Governance: 5 Controls Every Enterprise Needs (Policies, Approvals, Audit)
Without centralized governance, AI agents create security risks, budget overruns, and compliance gaps. 5 controls — policies, approvals, audit trails, cost limits, kill-switch — that make agents enterprise-safe.
Per-Tenant Gateway Profiles for Multi-Tenant AI Policy
One gateway, 50 tenants with different policies? Per-tenant gateway profiles give each tenant its own budget, models, and DLP via a 5-layer merge.
AI Data Leak Prevention: 26 DLP Patterns at the LLM Gateway
AI agents leak PII, credit cards, and API keys daily. 26 DLP patterns at the gateway level catch them before they reach the provider — block, redact, or alert.
AI Agent Versioning: How to Roll Back a Config in Production
When an agent config change breaks production, git revert is not enough. How immutable agent versioning + one-click rollback actually work for AI agents.
AI Agent Kill-Switch: 5-Second Stop for Runaway Agents
When an AI agent goes rogue, you have minutes before the bill, the data leak, or the PR incident. A kill-switch is the 5-second stop — here is how to build one.
Webhooks Are Live on Dobby Gateway
Subscribe to signed HTTP events — approvals, kill-switches, policy blocks — from Dobby Gateway. HMAC-SHA256 signed, retried on 5xx, landed in a DLQ on 4xx, inspectable in the admin dashboard. Here's how it works and why we built it the way we did.
AI Agent Observability: 4 Pillars of Monitoring (Audit, Cost, Health, Anomalies)
Real-time visibility into your AI agent fleet. The 4 pillars every agent platform needs: audit trails, cost dashboards, health checks, and anomaly detection.
AI Agents Are at Their Kubernetes Moment: Why 2026 Needs a Control Plane
Containers had chaos before Kubernetes. AI agents are there now — scattered across CrewAI, LangChain, OpenAI, and custom code. The parallel, and what a control plane delivers.
AI Agent RBAC: 3-Level Hierarchy with 6 Permission Roles (Platform, Org, Tenant)
Design a 3-level RBAC hierarchy for AI agent platforms. Platform, organization, and tenant roles with 6 permission levels — plus fine-grained controls for multi-tenant enterprise deployments.
CrewAI vs LangChain vs OpenAI Assistants: 2026 AI Agent Framework Comparison
CrewAI for multi-agent workflows, LangChain for flexibility, OpenAI Assistants for simplicity — or custom. A 2026 side-by-side comparison, and why how you manage agents matters more than which framework you pick.
Human-in-the-Loop AI: 5 Approval Gate Patterns That Keep Agents Safe
Fully autonomous AI agents sound exciting — until one overspends your budget or sends the wrong email. 5 approval gate patterns that keep agents productive, auditable, and safe.
Manage CrewAI, LangChain, and OpenAI Agents from One Dashboard
Your team uses CrewAI for orchestration, LangChain for RAG, and OpenAI Assistants for customer flows. Unified management, monitoring, and cost tracking — from one dashboard, across every framework.
MCP Protocol Explained: How AI Agents Call Real Tools and APIs (JSON-RPC)
The Model Context Protocol (MCP) gives AI agents structured access to tools and APIs via JSON-RPC. What it is, how it works, and why Anthropic, Claude, Cursor, and ChatGPT all speak it.
Agentic Gateway Explained: Auth, Cost Tracking, and Policy for Every LLM Call
The agentic gateway is a unified proxy that authenticates, meters, and enforces governance on every LLM and MCP request. Why every AI platform needs one, and how to build it.