Learn to govern, monitor, and scale AI agents in production. Free guides from beginner to advanced.
Connect Google Agent Development Kit (ADK) agents to Dobby for monitoring, governance, cost control, and approval gates. MCP, A2A, and webhook options.
Learn what AI agent management means, why it matters in production, and how to set up a control plane for your agent fleet in under 10 minutes.
Learn the Model Context Protocol (MCP) — how it works, why it matters, and how to connect AI agents to 73+ tools via JSON-RPC 2.0 with working code.
Seven battle-tested practices for governing AI agents in production — audit trails, approval gates, budgets, RBAC, data residency, and kill-switches.
One control plane for CrewAI, LangChain, ADK, OpenAI, and custom agents. Unified monitoring, governance, and cost tracking across any framework.
Register, trigger, schedule, and cost-track CrewAI, LangChain, and custom AI agents from code using @dobbyai/sdk v0.2+ (JS) or dobby-ai-sdk (Python).
Connect your CrewAI crews to Dobby for unified monitoring, cost tracking, and governance. Step-by-step integration with a one-line SDK change.
Set up an LLM gateway in 5 minutes. Route all AI requests through one endpoint for cost tracking, security, policies, and multi-provider support.
Route LangChain agent LLM calls through a control plane for cost tracking, governance, multi-provider support, and LangSmith-compatible tracing.
Configure approval gates so AI agents pause before risky actions and wait for human review. Step-by-step setup with Slack, auto-approve rules, and policies.
Get started with the Dobby REST API. Create tasks, manage agents, query costs, and automate your agent fleet programmatically with examples.
Track AI costs per agent, set token budgets, configure provider quotas, and get Slack alerts before you overspend. Reduce LLM spend 20-40% with caching.
Route AI requests to the right LLM provider automatically. One OpenAI-compatible endpoint for OpenAI, Anthropic, Google, Mistral, and 9 more — with failover.
Stop all AI agent activity instantly with a scoped kill-switch. Learn activation, propagation timing, recovery procedure, and how to prevent needing it.
Map SOC 2 Trust Service Criteria to AI agent controls. Audit trails, access controls, encryption, monitoring, and a pre-audit checklist.
Keep AI agent data within designated regions. GDPR, data sovereignty, LLM-provider residency, and a compliance checklist for AI workloads.
Set up enterprise SSO for your AI agent platform. Step-by-step guides for Okta, Azure AD, Google Workspace, plus SCIM 2.0 auto-provisioning.
Run AI agents autonomously on schedules with governance pre-flight checks. Cron-driven execution with budgets, approvals, kill-switch, and stuck-task detection.
Track, analyze, and optimize AI agent costs. Per-agent breakdown, provider comparison, forecasting, and 5 strategies that typically cut spend 40-60%.
The architecture behind an AI agent control plane. Multi-tenant isolation, policy engines, audit trails, and gateway design — with real numbers.
Start free — deploy your first agent in minutes, no credit card required.