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Secure Deployment: VPC, On-Premises Deployment, and Isolated Environments

Enterprise-Grade Agent Gateway

A Unified Control Layer for AI Agents in Production Environments

Through an enterprise-grade agent gateway, provide AI agents with unified execution, observability, and governance capabilities.

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An Enterprise-Class Agent Gateway Designed for Secure and Scalable Workflows

Centralized Agent Management

Run all AI agents through a unified and governed execution layer to enable centralized policy management and unified control.

Agent Observability

Comprehensively track each agent’s behavior, actions, and decision-making process to ensure end-to-end traceability.

Policies and RBAC Access Control

Use role-based access control (RBAC) and a policy framework to manage permissions for accessing, deploying, running, or modifying the agent.

Agent Task Execution

Reliably executes multi-step Agent workflows, supporting automatic retries, timeout control, and controlled execution paths.

High Scalability and High Reliability

Automatically scale Agent workloads while maintaining stable and predictable operation in high-concurrency scenarios.

Cross-Framework Compatibility

Compatible with any agent framework or custom implementation, and deeply optimized for production environments.

Centralized Agent Registration Center

Operate and govern AI agents through a unified, enterprise-grade Agent Gateway.

  • All agent workflows are executed through a unified agent gateway, eliminating the need to embed complex logic across various business systems.
  • Supports a cross-framework agent architecture, including LangChain, CrewAI, and fully custom agent implementations.
  • Standardize how Agents access large language models and tools through unified routing rules, a policy framework, and enforcement guidelines.
  • Centrally manage agent authentication, service accounts, and access permissions at the Gateway layer.
集中式 Agent 註冊中心介面示意圖

Agent Observability and Tracing

Gain a comprehensive understanding of the agent's operational behavior through granular observability.

  • Monitor agent latency, error rates, retry counts, and tool call logs across all workflows in real time.
  • Capture the end-to-end execution flow covering Agent steps, model invocations, and tool interactions.
  • Precisely attribute token consumption and operational costs to specific agents, workflows, teams, or environments.
  • Review detailed execution logs to quickly identify the causes of failures and performance bottlenecks.
Agent 可觀測性與鏈路追蹤儀表板示意圖

Agent Quotas, Budgets, and Access Control

Secure the budget, strengthen governance, and mitigate the risks posed by autonomous agents.

  • Set usage quotas based on tokens or costs by Agent, workflow, or execution environment.
  • Use role-based access control (RBAC) to restrict the Agent's deployment, execution, and modification permissions.
  • Govern service accounts and autonomous agents through centralized identity management and policy rules.
  • Isolate Agent workloads in development, testing, and production environments to establish clear permission boundaries.
Agent 配額與存取控制介面示意圖

Highly Reliable Agent Execution, Automatic Retry, and Failover

Ensure that the Agent workflow operates stably in a real production environment.

  • Automatically recover failed agent execution steps using configurable retry strategies.
  • Configure a failover path for model calls or tool executions.
  • Configure timeout controls and safety mechanisms to prevent the Agent from entering an infinite loop or becoming blocked for an extended period.
  • Maintain consistent and stable performance in the event of model failures, tool malfunctions, or sudden spikes in traffic.
Rate Limit 配置介面示意圖

Execution of MCP-based Agent Tools

Through native MCP (Model Context Protocol) integration, we enable unified governance and secure management of Agent tool invocations.

  • All Agent tool calls are executed uniformly through the registered MCP Server.
  • Securely connect the Agent to tools such as Slack, GitHub, databases, and internal enterprise systems.
  • Apply OAuth 2.0, RBAC, and metadata-based policy controls to every tool invocation.
  • Audit and log all tool operations initiated by the Agent to meet security and compliance requirements.
基於 MCP 的 Agent 工具執行介面示意圖

Safety Guardrails for Autonomous Agents

Provides security, compliance, and behavioral constraints for Agent workflows.

  • Precisely control the range of tools and features that each agent can access.
  • Enforce security policies such as PII filtering and restrictions on sensitive operations.
  • Configure custom security guardrail rules in accordance with organizational compliance requirements.
  • Comprehensively record the Agent's decision-making process and actions to establish an auditable audit trail.
面向自主 Agent 的安全護欄介面示意圖

Designed for large-scale AI applications in real-world production environments

Processed monthly
Over 10 billion requests

Provide high-throughput, highly scalable inference services for production-grade AI applications.

99.99%
Service Availability

Thanks to centralized failover, intelligent routing, and safety barrier mechanisms, AI applications can continue to operate stably even if a model service provider experiences a failure.

Average decrease
30% AI Cost

Through intelligent routing, batch processing, and budget control mechanisms, token waste is significantly reduced and inference costs are optimized.

Enterprise-Grade Agent Gateway

Your data and models are always securely processed within an enterprise cloud environment or on-premises infrastructure.

  • Seamlessly integrate and enforce enterprise-customized security policies, including features such as personal identifiable information (PII) filtering and malicious content detection.
  • Flexibly customize Agent gateway security policy rules in accordance with corporate compliance requirements and security standards.
HIPAA GDPR AICPA SOC 合規認證標章

Compliance and Security

Compliant with international standards such as SOC 2, HIPAA, and GDPR, we provide enterprises with comprehensive data protection and privacy security safeguards.

Governance and Access Control

Supports single sign-on (SSO), role-based access control (RBAC), and audit logs to enable unified authentication and access governance.

Enterprise-Level Support and Reliability

We provide 24/7 technical support and an SLA (Service Level Agreement) to ensure the stable operation of mission-critical business systems.

Deploy in any environment

Supports deployment in VPCs, on-premises data centers, physically isolated environments, and multi-cloud architectures.

Your data remains under your control at all times and never leaves your organization’s boundaries. Regardless of the environment in which TrueFoundry is deployed, you benefit from full data sovereignty, environment isolation capabilities, and enterprise-grade compliance assurance.

多雲與本地部署架構示意圖

Frequently Asked Questions

Technical support and paid services to drive your project to the limit.

Agent Gateway is a dedicated control plane designed for modern agentic AI. Unlike traditional gateways, which manage only stateless API requests, the Agent Gateway understands the runtime context and task workflows of AI agents. Serving as the core software layer connecting large language models (LLMs), data sources, and external tools, it governs the agents’ interactions and data flow processes.

The Agent Gateway is a critical piece of infrastructure that supports enterprise-level Agent workflows, transforming isolated Prompt calls into manageable, governable, and scalable Agent automation processes.

The Agent Gateway is essentially an intelligent reverse proxy layer designed specifically for the Agent system. When an Agent initiates a task or calls a tool, the gateway first intercepts the request and performs authentication and authorization based on predefined policies. The system then routes the request to the corresponding MCP server, REST API, or other backend service. Through the MCP (Model Context Protocol), the Agent Gateway standardizes communication between Agents and tools, forming a complete Agent Mesh (Agent service network).

In this process, the gateway is responsible for:

  • Identity Verification
  • Access Control
  • Traffic Management
  • Request Routing
  • Log Entry
  • Security Governance

Ensure that all Agent calls are under control and auditable.

The AI Gateway is primarily designed for large language models (LLMs) and is responsible for managing prompts, tokens, and model inference requests. The Agent Gateway, on the other hand, serves as the execution data plane for Agentic AI.

Not only does it manage model calls, but it is also responsible for:

  • Interaction Between Agents and Tools
  • Long-Lifecycle Task Management
  • Multi-Step Workflow Orchestration
  • State Management
  • Data Flow Control

If the AI gateway is a unified entry point for the model layer, then the Agent gateway is more like a Service Mesh designed specifically for Agent systems. The AI gateway handles stateless inference requests, while the Agent gateway provides security, governance, and orchestration capabilities for complex, continuously running Agent workflows.

Yes. The Agent Gateway project is part of the Linux Foundation ecosystem and operates under an open governance model. It is compatible with mainstream open-source agent frameworks, including:

  • LangChain
  • CrewAI
  • AutoGen
  • Custom Agent Framework

Therefore, enterprises are not locked into specific vendors or technology stacks. Regardless of the framework used to implement the Agent, it can be uniformly managed and orchestrated through the Agent gateway.

The Agent Gateway provides deep observability capabilities for the entire Agent Mesh. Unlike traditional API gateways that only monitor interface traffic, the Agent Gateway can deeply trace the execution process of Agent intents. The platform provides:

  • Analysis of MCP Usage
  • Token Consumption Statistics
  • Model Call Cost Analysis
  • Tool-Based Call Cost Attribution
  • Agent Workflow Performance Metrics

All costs and resource consumption can be attributed to:

  • Agent
  • workflow
  • Team
  • user
  • Environment

Through intelligent tracking and analysis mechanisms, enterprises can resolve the common "black-box agent" issue in production environments and establish a truly observable and auditable agent operations system.

Yes. The Agent gateway performs the following actions uniformly at the Agent level:

  • RBAC Permission Control
  • Quota Management
  • Budget Management
  • Security Protection Mechanisms

All Agent activities are logged and audited, including:

  • Model Call
  • Tool Call
  • Agent Decision-Making Process
  • Workflow Execution Log

This ensures complete traceability and meets corporate security and compliance requirements.

Yes. The Agent Gateway is designed specifically for enterprise-level and highly regulated environments and supports deployment on:

  • Private VPC
  • Local Data Center
  • Hybrid Cloud Environment
  • Physical Isolation Environment

It also integrates seamlessly with an organization’s existing security systems and compliance processes. For industries such as finance, healthcare, insurance, manufacturing, and government agencies, the Agent Gateway provides the unified governance capabilities needed to build an enterprise-class Agent platform.

Teams with complex architectural needs or enterprise-level governance requirements can schedule a product demo to gain a deeper understanding of the deployment solutions and governance strategies best suited for their specific business scenarios.

Through the Hongke Agent Gateway, enterprises can rapidly deploy AI agents from the lab environment to production in a unified, secure, and observable manner, enabling the actual deployment and application of agents at true scale.

Professional technical support from HONGKEI to help you succeed in your project.

Leveraging decades of technical expertise in automotive electronics, industrial automation, data security, and life sciences, Hongke provides customers with end-to-end solutions ranging from critical components and precision instruments to system-level platforms. We do more than just supply products; we are committed to helping our customers achieve long-term success through professional technical consulting and innovative optimization.

 

Testing Services

On-demand sample testing and validation of performance evaluation

Hardware Training

Comprehensive coverage of all aspects of hardware product usage

Software Training

Helps you quickly master the skills of using the software

integrated development

Complete integrated solutions based on requirements
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