AI Gateway
AI Gateway acts as the core infrastructure for enterprise AI capability access, governance, and security protection.
Key Functions
LLM Proxy and Unified Access
Supports unified proxy access and centralized management for OpenAI-compatible interfaces, mainstream public cloud models, privatized large models, and internal enterprise AI services. It builds a unified model access portal, reducing integration complexity and governance risks.
Multi-Model Routing and Policy Scheduling
Supports routing and scheduling model requests based on policies such as model capability, cost, latency, availability, and business type. It achieves multi-model unified management and intelligent distribution, meeting comprehensive requirements in different scenarios.
Token Billing and Quota Management
Provides multi-dimensional Token statistics, billing, and quota control capabilities based on applications, users, models, and interfaces. It helps enterprises clearly grasp AI resource consumption, achieving cost accounting, budget control, and refined resource operations.
Prompt Management
Supports the unified maintenance, version management, classification management, variable configuration, and reuse management of Prompt templates. It helps enterprises accumulate reusable prompt assets, improving model invocation quality and business delivery consistency.
Data Privacy Protection
Provides data privacy protection capabilities for input and output content, supporting sensitive information identification, desensitization processing, data filtering, access control, and policy interception to reduce data leakage and compliance risks.
LLM Proxy and Unified Access
Supports unified proxy access and centralized management for OpenAI-compatible interfaces, mainstream public cloud models, privatized large models, and internal enterprise AI services. It builds a unified model access portal, reducing integration complexity and governance risks.
Multi-Model Routing and Policy Scheduling
Supports routing and scheduling model requests based on policies such as model capability, cost, latency, availability, and business type. It achieves multi-model unified management and intelligent distribution, meeting comprehensive requirements in different scenarios.
Token Billing and Quota Management
Provides multi-dimensional Token statistics, billing, and quota control capabilities based on applications, users, models, and interfaces. It helps enterprises clearly grasp AI resource consumption, achieving cost accounting, budget control, and refined resource operations.
Prompt Management
Supports the unified maintenance, version management, classification management, variable configuration, and reuse management of Prompt templates. It helps enterprises accumulate reusable prompt assets, improving model invocation quality and business delivery consistency.
LLM Proxy and Unified Access
Supports unified proxy access and centralized management for OpenAI-compatible interfaces, mainstream public cloud models, privatized large models, and internal enterprise AI services. It builds a unified model access portal, reducing integration complexity and governance risks.
Multi-Model Routing and Policy Scheduling
Supports routing and scheduling model requests based on policies such as model capability, cost, latency, availability, and business type. It achieves multi-model unified management and intelligent distribution, meeting comprehensive requirements in different scenarios.
Token Billing and Quota Management
Provides multi-dimensional Token statistics, billing, and quota control capabilities based on applications, users, models, and interfaces. It helps enterprises clearly grasp AI resource consumption, achieving cost accounting, budget control, and refined resource operations.
Prompt Management
Supports the unified maintenance, version management, classification management, variable configuration, and reuse management of Prompt templates. It helps enterprises accumulate reusable prompt assets, improving model invocation quality and business delivery consistency.
Data Privacy Protection
Provides data privacy protection capabilities for input and output content, supporting sensitive information identification, desensitization processing, data filtering, access control, and policy interception to reduce data leakage and compliance risks.
Security Protection and Access Auditing
Provides security protection capabilities against illegal invocation, unauthorized access, sensitive content output, abnormal traffic, and malicious requests. Combined with invocation logs, user behaviors, audit reports, and alarm mechanisms, it achieves full-process AI service access control.
Product Technology Features
Provides unified access, policies, auditing, and operations capabilities, avoiding the fragmented management and complex operations caused by applications independently connecting to different model vendors.
Ensures full-process security control over model invocations through access control, data privacy protection, content review, and audit tracking mechanisms, meeting enterprise requirements for balancing innovation and compliance.
Helps enterprises build a clear and visible AI cost management mechanism through unified statistics and control over Token consumption, invocation frequency, tenant quotas, application costs, and model costs, avoiding resource abuse.
●Accumulates reusable prompt assets and best practices through unified Prompt management and templating capabilities, improving output consistency and accelerating the scalable rollout of AI applications.
Use Cases
Use Cases
Business Benefits
● Unified AI Service Control Center: Builds a unified AI service access management center, achieving centralized control of model access, proxy forwarding, Prompt management, Token governance, and security auditing.
● Standardize AI Service Usage Processes: Standardizes enterprise large model invocation and AI application access processes, reducing risks such as model abuse, data leakage, unauthorized access, and cost loss of control.
● Improve Multi-Model Management Efficiency: Enhances the management efficiency and invocation flexibility of multi-model resources through unified model proxy and policy routing capabilities.
● Strengthen AI Security Governance Capabilities: Improves model output quality and business consistency through unified Prompt asset management and data privacy protection mechanisms, strengthening enterprise security governance in AI usage.
● Enhance AI Platform Operations Capabilities: Improves platform operational efficiency and issue traceability through unified logging, monitoring, billing, and auditing capabilities, meeting requirements for platform-based and sustainable operations.
● Accelerate AI Business Innovation Response: On the basis of ensuring security, stability, and compliance, it helps enterprises achieve more efficient AI capability delivery, clearer cost management, and faster business innovation response speeds.
Related Case Studies
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