New Launch: truefailover™ keeps your AI apps always on—even during model or provider outages. Learn more

Secure Deployment: VPC, On-Prem, Air-Gapped

Agent Gateway: A Unified Control Layer For AI Agents in Production

Unified execution, observability, and control for AI agents through an enterprise-grade Agent Gateway

Join the Waitlist

Thank You! You’ll we notified when we’re live
Oops! Something went wrong while submitting the form.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

Unified Agent Control

Run all AI agents through a single, governed execution layer with centralized policies and controls.

Agent Observability

Track every agent action, step, and decision with full traceability across models and tools.

Policy & RBAC Enforcement

Apply role-based access control and policies to govern who can deploy, run, or modify agents.

Agent Task Execution

Execute multi-step agent workflows reliably with retries, timeouts, and controlled execution paths.

Scalable & Reliable

Scale agent workloads automatically while maintaining predictable behavior under load.

Framework Agnostic

Compatible with any agent framework or custom implementation, optimized for production use.

Centralized Agent Registry

Run and govern AI agents through a single, enterprise-grade Agent Gateway.
  • Execute all agent workflows through a single Agent Gateway instead of embedding logic across applications
  • Support framework-agnostic agents, including LangChain, CrewAI, and fully custom agent implementations
  • Standardize how agents invoke LLMs and tools using consistent routing, policies, and execution rules
  • Centralize authentication, identity, and service account management for agents at the Gateway layer
Agent Gateway for AI Agent Registry

Agent Observability & Tracing

Understand how agents behave with full, step-level observability.
  • Monitor agent latency, error rates, retries, and tool invocations across all workflows
  • Capture end-to-end execution traces spanning agent steps, model calls, and tool interactions
  • Attribute token usage and cost to specific agents, workflows, teams, or environments
  • Inspect detailed execution logs to quickly diagnose failures and performance bottlenecks
Agent Gateway for AI Agent Observability and Tracing

Agent Quotas, Budgets & Access Control

Protect budgets, enforce governance, and reduce risk for autonomous agents
  • Enforce token-based or cost-based quotas per agent, workflow, or environment
  • Apply role-based access control (RBAC) to restrict who can deploy, execute, or modify agents
  • Govern service accounts and autonomous agents using centralized identity and policy rules
  • Isolate development, staging, and production agent workloads with clear access boundaries
Agent Gateway for AI Agent Budget and Access Control

Reliable Agent Execution, Retries & Fallbacks

Ensure agent workflows remain resilient under real-world failures.
  • Automatically retry failed agent steps with configurable retry policies
  • Define fallback paths for model calls or tool executions
  • Apply timeouts and safeguards to prevent infinite loops or stalled agents
  • Maintain consistent behavior during model outages, tool failures, or traffic spikes
Agent Gateway for AI Agent Rate Limit Configuration

MCP-Powered Tool Execution for Agents

Secure and govern all agent tool calls using native MCP integration.
  • Route all agent tool calls through registered MCP Servers
  • Connect agents to enterprise tools such as Slack, GitHub, databases, and internal services
  • Apply OAuth2, RBAC, and metadata-based policies to every tool invocation
  • Audit and log all agent-initiated tool actions for security and compliance
Agent Gateway for MCP Tool Execution for AI Agents

Guardrails for Autonomous Agents

Enforce safety, compliance, and behavioral controls for agent workflows.
  • Control which tools and capabilities each agent is allowed to access
  • Enforce safety policies such as PII filtering or restricted actions
  • Apply custom guardrails aligned with organizational compliance requirements
  • Maintain full audit trails for agent decisions and actions
Agent Gateway for AI agent Guardrails

Made for Real-World AI at Scale

99.99%
uptime
Centralized failovers, routing, and guardrails ensure your AI apps stay online, even when model providers don’t.
10B+
Requests processed/month
Scalable, high-throughput inference for production AI.
30%
Average cost optimization
Smart routing, batching, and budget controls reduce token waste. 

Enterprise-Ready

Your data and models are securely housed within your cloud / on-prem infrastructure

  • Compliance & Security

    SOC 2, HIPAA, and GDPR standards to ensure robust data protection

  • Governance & Access Control

    SSO + Role-Based Access Control (RBAC) & Audit Logging

  • Enterprise Support & Reliability

    24/7 support with SLA-backed response SLAs
Deploy TrueFoundry in any environment

VPC, on-prem, air-gapped, or across multiple clouds.

No data leaves your domain. Enjoy complete sovereignty, isolation, and enterprise-grade compliance wherever TrueFoundry runs

Get Started
arrow1

Real Outcomes at TrueFoundry

Why Enterprises Choose TrueFoundry

3x

faster time to value with autonomous LLM agents

80%

higher GPU‑cluster utilization after automated agent optimization

Aaron Erickson

Founder, Applied AI Lab

TrueFoundry turned our GPU fleet into an autonomous, self‑optimizing engine - driving 80 % more utilization and saving us millions in idle compute.

5x

faster time to productionize internal AI/ML platform

50%

lower cloud spend after migrating workloads to TrueFoundry

Pratik Agrawal

Sr. Director, Data Science & AI Innovation

TrueFoundry helped us move from experimentation to production in record time. What would've taken over a year was done in months - with better dev adoption.

80%

reduction in time-to-production for models

35%

cloud cost savings compared to the previous SageMaker setup

Vibhas Gejji

Staff ML Engineer

We cut DevOps burden and simplified production rollouts across teams. TrueFoundry accelerated ML delivery with infra that scales from experiments to robust services.

50%

faster RAG/Agent stack deployment

60%

reduction in maintenance overhead for RAG/agent pipelines

Indroneel G.

Intelligent Process Leader

TrueFoundry helped us deploy a full RAG stack - including pipelines, vector DBs, APIs, and UI—twice as fast with full control over self-hosted infrastructure.

60%

faster AI deployments

~40-50%

Effective Cost reduction of across dev environments

Nilav Ghosh

Senior Director, AI

With TrueFoundry, we reduced deployment timelines by over half and lowered infrastructure overhead through a unified MLOps interface—accelerating value delivery.

<2

weeks to migrate all production models

75%

reduction in data‑science coordination time, accelerating model updates and feature rollouts

Rajat Bansal

CTO

We saved big on infra costs and cut DS coordination time by 75%. TrueFoundry boosted our model deployment velocity across teams.

Frequently asked questions

What is an agent gateway?

An agent gateway is the specialized control plane for modern agentic AI. Unlike traditional gateways that only manage stateless API calls, an agent gateway is aware of the machine learning context. It acts as a dedicated software layer that governs agent interactions, managing the complex data movement between LLM models, data sources, and external tools. It serves as the critical AI infrastructure that turns isolated prompts into agentic workflows.

How does an agent gateway work?

Agent Gateway functions as an intelligent reverse proxy specifically for agentic systems. When an agent initiates an action, the gateway intercepts the request, validates it against policy enforcement rules, and routes it to the appropriate backend MCP servers or REST APIs. By utilizing the Model Context Protocol (MCP), it standardizes how agents talk to tools, essentially creating an agent mesh that manages authentication, traffic management, and logging for every MCP-endpoint interaction.

How is an Agent Gateway different from an AI Gateway?

While an AI gateway manages prompts and tokens for Large Language Models (LLMs), an agent gateway serves as the data plane for agentic AI. It goes beyond simple inference to manage complex agent Interactions, stateful sessions, and data movement between agent sand tools. Think of it as a service mesh specifically designed for agentic systems. It addresses the key differences in traffic patterns, where AI gateways handle stateless requests, the agent gateway provides a layer of security and orchestration for long-running agentic workflows.

Can I use the Agent Gateway with any agent framework?

Yes. The agent gateway project is a Linux Foundation Project, ensuring open-source governance and compatibility. It acts as a software layer that works with any open-source framework (like LangChain, CrewAI, or AutoGen). This foundation ensures you aren't locked into a specific vendor, allowing you to orchestrate Agentic workloads across diverse AI systems and backend services regardless of the underlying framework.

How does the Agent Gateway handle observability and cost tracking?

The gateway provides deep visibility into the agent mesh. It tracks traffic management not just at the API level, but at the intent level. You get granular metrics on Model Context Protocol(MCP) usage, token consumption across LLM Models, and interaction costs with external tools. This intelligent routing and tracking capability allows you to audit data sources and attribute costs accurately, solving a lot of problems related to "black box" agent behavior in production.

Can I control and audit autonomous agents?

Absolutely. The Agent Gateway enforces RBAC, quotas, and guardrails at the agent level. All agent actions including model calls and tool invocations are logged and auditable, ensuring full traceability for security and compliance needs.

Is the Agent Gateway suitable for regulated or enterprise environments?

Yes. The Agent Gateway is designed for enterprise use cases and supports secure deployments in private VPCs, on-premise environments, and air-gapped setups. It integrates with existing compliance controls and provides centralized governance required for regulated industries.

How can I get started with the TrueFoundry Agent Gateway?

You can get started by signing in to TrueFoundry and deploying your first agent through the Agent Gateway. For teams with advanced or enterprise requirements, you can also book a demo to explore a customized deployment and governance strategy.

GenAI infra- simple, faster, cheaper

Trusted by 30+ enterprises and Fortune 500 companies

Try it now
Talk to Experts
Take a quick product tour
Start Product Tour
Product Tour