Best AI Gateways Software - Page 5

HeyRoute AI

HeyRoute AI is an API gateway platform offering unified access to AI models like GPT, Claude, Gemini, Grok, MiniMax, and DeepSeek via a single integration point. It ensures high uptime and delivers responses with an average time to first token under one second. Processing billions of tokens daily, HeyRoute AI optimizes performance with a prompt cache hit rate that minimizes redundant processing for long-context requests. Compatible with OpenAI clients, integration is simple: users create an API key, configure their client with the HeyRoute base URL, and test connectivity. The platform supports image generation and video model capabilities. Built to SOC 2 standards, HeyRoute AI ensures security, availability, and operational control. Infrastructure is isolated, with secure routing and restricted access. Request data is not used for model training and is handled temporarily for service operation and troubleshooting. Enterprise teams can request agreements tailored to their needs.

Higress

Higress is a cloud-native API gateway built upon Istio and Envoy, designed to facilitate seamless integration of AI capabilities into modern applications. It enables developers to write Wasm plugins in languages like Go, Rust, and JavaScript, offering a rich library of ready-to-use plugins and an intuitive console for efficient management. Key Features and Functionality: - AI Gateway Capabilities: Higress serves as an AI-native API gateway, supporting AI services such as Tongyi Qianwen APP and machine learning platforms. It provides functionalities like AI observability, multi-model load balancing, AI token flow control, and AI caching. - Extensibility: With a focus on Wasm plugin extensions, Higress ensures memory safety through sandbox isolation, supports multiple programming languages, and allows independent version upgrades of plugins, achieving lossless hot updates of gateway logic. - Security and Compliance: Higress offers WAF protection, supports various authentication and authorization strategies such as key-auth, hmac-auth, jwt-auth, basic-auth, and oidc, and integrates with Let's Encrypt for automatic issuance and renewal of free certificates. - Stream Processing: It supports complete stream processing of request/response bodies, with Wasm plugins easily customizing the handling of streaming protocol messages like SSE (Server-Sent Events), significantly reducing memory overhead in high-bandwidth scenarios. Primary Value and Problem Solving: Higress addresses the challenges of integrating AI capabilities into applications by providing a robust, extensible, and secure API gateway. It simplifies the development and deployment of AI services, ensures high availability and performance, and offers comprehensive security features. By supporting AI-native functionalities and streamlining plugin development, Higress empowers enterprises to accelerate their AI transformation and build intelligent applications efficiently.

Higress

IBM API Connect

IBM API Connect is a complete, intuitive and scalable API solution that lets organizations implement a robust API strategy by building, exposing, securing, and managing an entire API ecosystem across multiple clouds. IBM API Connect is available on AWS Marketplace. As businesses embrace their digital transformation journey, APIs become critical to unlock the value of business data and assets. With increasing adoption of APIs, consistency and governance are needed across the enterprise.  API Connect allows businesses to get new features to market fast, maintain continuous availability, meet changing user needs, and spur innovation.

Average Rating: 4.3/5.0

Total Reviews: 146

Inferagate

Inferagate is an open-source AI gateway designed for production teams seeking enterprise-grade control over their AI deployments. It serves as a centralized control layer, enabling seamless integration with various inference providers, efficient model management, and comprehensive oversight of AI operations. By offering a unified interface, Inferagate simplifies the complexities associated with managing multiple AI services, ensuring consistent performance and security across applications. Key Features and Functionality: - Unified Provider Integration: Connects with multiple inference providers such as OpenAI, Anthropic, Bedrock, Hugging Face, OpenRouter, vLLM, Ollama, and Groq, allowing teams to manage all AI services through a single gateway. - Model Management: Facilitates the publication of approved models, enabling teams to control and monitor model usage effectively. - Security and Compliance: Implements guardrails, data loss prevention (DLP) measures, and policy enforcement to maintain security standards and compliance requirements. - Operational Oversight: Provides tools for monitoring traffic, investigating requests, and auditing AI operations, ensuring transparency and accountability. - Cost Management: Offers budget controls and financial oversight to manage and optimize AI-related expenditures. Primary Value and Problem Solving: Inferagate addresses the challenges faced by teams managing multiple AI inference providers by offering a centralized, OpenAI-compatible API layer. This consolidation enhances operational efficiency, improves security through consistent policy enforcement, and provides financial control over AI-related costs. By streamlining the integration and management of diverse AI services, Inferagate empowers teams to focus on delivering high-quality AI-driven products without the overhead of complex infrastructure management.

Inferock Bench

innFactory AI Gateway

LangDB

Lasso

Lasso's AI Application Protection is a comprehensive security solution designed to safeguard AI-driven applications, including customer-facing chatbots, back-end systems, and AI personal assistants. It ensures that these innovations scale securely without compromising data integrity or brand reputation. Key Features and Functionality: - Unified Policy Controls & Enforcement: Establishes consistent policies for content moderation, data protection, and defense against AI-specific threats like prompt injection and jailbreak attempts. - Offensive Agents for Red Teaming: Simulates real-world attacks to test and validate application defenses, ensuring robustness against potential threats. - Governance Across the Execution Path: Monitors AI interactions in real-time, providing granular enforcement to prevent data leaks and moderate content instantly. - Adaptive Anomaly & Threat Detection: Analyzes intent and application behavior to detect and block evasive threats with high accuracy, even when they are concealed within legitimate prompts. Primary Value and Problem Solved: Lasso's AI Application Protection addresses critical risks associated with AI applications, such as rapid changes in AI supply chains, trust and reliability gaps due to non-deterministic AI behavior, and sophisticated adversarial threats. By providing a unified security framework, it enables enterprises to deploy AI applications confidently, ensuring they operate within defined boundaries and maintain brand trust.

liteLLM

LiteLLM is an open-source Large Language Model (LLM) gateway designed to streamline access, management, and monitoring of over 100 LLM providers through a unified, OpenAI-compatible API. By offering a consistent interface, LiteLLM simplifies the integration of diverse LLMs, enabling developers to focus on building applications without the complexities of handling multiple APIs. Key Features: - Unified API Integration: Access and manage over 100 LLM providers, including OpenAI, Azure, Anthropic, Hugging Face, and more, through a single, standardized API. - Cost Tracking and Budget Management: Monitor and control spending across different LLM providers with automatic cost tracking, budget setting, and rate limiting capabilities. - Load Balancing and Fallbacks: Ensure high availability and reliability by implementing load balancing and automatic fallback mechanisms across multiple LLM deployments. - Monitoring and Logging: Integrate with tools like Langfuse, Langsmith, and OpenTelemetry for comprehensive monitoring, logging, and observability of LLM usage. - Authentication and Security: Manage access with features like Single Sign-On (SSO), JWT authentication, and audit logs to maintain secure and compliant operations. Primary Value and Problem Solved: LiteLLM addresses the challenges of managing multiple LLM providers by offering a unified gateway that simplifies API interactions, ensures consistent input/output formats, and provides robust monitoring and cost management tools. This consolidation reduces development complexity, enhances operational efficiency, and allows organizations to seamlessly integrate and scale their AI applications across various LLM platforms.

LLMAPI

LLM Gateway

Kubernetes-native inference gateway with unified routing, automatic failover, policy guardrails, and complete observability — no SDK changes required.

llm-gateway

LLM Gateway is an open-source API gateway designed to streamline interactions with multiple Large Language Model (LLM) providers through a unified interface. It enables developers to route, manage, and analyze LLM requests efficiently, simplifying the integration process and enhancing operational oversight. Key Features and Functionality: - Unified API Interface: Compatible with the OpenAI API format, allowing seamless migration and integration across various LLM providers. - Multi-Provider Support: Connects to multiple LLM providers, including OpenAI, Anthropic, and Google, through a single gateway. - Performance Monitoring: Offers tools to compare different models' performance and cost-effectiveness, aiding in informed decision-making. - Secure Key Management: Centralizes the management of API keys for different providers in one secure location. - Deployment Flexibility: Provides options for self-hosting on your infrastructure or utilizing a hosted version, catering to diverse operational needs. - Cost-Aware Analytics: Delivers detailed insights into requests, token usage, total spend, and average cost per 1,000 tokens over customizable periods. - Error and Reliability Monitoring: Monitors error rates, cache hit rates, and reliability trends directly from the dashboard, ensuring system robustness. - Project-Level Usage Explorer: Allows in-depth analysis of each project's requests, models, errors, cache, and costs with dedicated charts and tables. Primary Value and User Solutions: LLM Gateway addresses the complexities associated with managing multiple LLM providers by offering a standardized interface that simplifies integration and operation. It provides comprehensive analytics and monitoring tools, enabling users to optimize performance and control costs effectively. By centralizing API key management and supporting both self-hosted and cloud deployments, LLM Gateway ensures flexibility and security, making it an invaluable resource for developers and organizations leveraging LLM technologies.

LLMrouter.eu

Lucairn AI Gateway

Lucairn is a compliance gateway for OpenAI, Anthropic and more. Use AI on sensitive business data, with proof. Built in Germany for regulated organisations in Europe. Lucairn is BYOK/Plan: bring your own provider key for Anthropic, OpenAI, Mistral or Gemini. Paste the config into Claude Desktop, route the OpenAI SDK, or change the base_url in the Anthropic SDK. Streaming responses (stream:true / SSE) are supported. On the hosted Developer and Pro tiers, on-gateway pseudonymization happens before your LLM sees the request — apart from text in a tool’s system prompt (for example project instructions), which is forwarded to the model vendor as written. On Enterprise self-hosted, no raw identity data leaves your environment — apart from text in a tool’s system prompt (for example project instructions), which is forwarded to the model vendor as written. Detection combines known-entity matching against customer-supplied recognizers with Presidio NER for general identifiers. Lucairn separates Sandbox A (identity) from Sandbox B (AI processing) at the network level; even if a PII string slips past detection, Sandbox B cannot reach the identity store, so the leak is bounded and the audit chain still captures the request. The gateway restores original values in the response by default on every plan. Every successful call through the gateway mints a signed Lucairn certificate (Ed25519). A certificate attests that Lucairn’s pseudonymization pipeline ran for the request — it is not a claim of complete PII detection and not a claim of legal compliance. Anchoring is attempted via an RFC 3161 timestamp (FreeTSA) and the Sigstore Rekor transparency log; the certificate records whether each anchor confirmed. Certificate fields are structured input a provider or deployer can feed into their own EU AI Act Article 12 record-keeping; they do not make an AI system Article-12-capable. Audit exports (Pro and Enterprise) are input for a controller’s own GDPR Article 30 records. Plans: Developer (free), Pro and Enterprise. Enterprise self-hosted runs on your infrastructure via Helm on Kubernetes or Docker Compose.