TrueFoundry AI Gateway
TrueFoundry AI Gateway is an enterprise-grade control plane that enables organizations to deploy, govern, and monitor LLM and Gen-AI workloads through a unified API with built-in security, observability, and performance optimization capabilities.
https://www.truefoundry.com/ai-gateway?ref=producthunt
Product Information
Updated:Dec 4, 2025
What is TrueFoundry AI Gateway
TrueFoundry AI Gateway serves as a centralized middleware layer that sits between applications and multiple LLM providers, acting as a translator and traffic controller for AI models. It provides a single interface to connect, manage and monitor various LLM providers like OpenAI, Claude, Gemini, Groq, Mistral and 250+ other models. The gateway handles critical infrastructure needs including authentication, routing, rate limiting, observability and governance - allowing organizations to standardize their AI operations while maintaining security and compliance.
Key Features of TrueFoundry AI Gateway
TrueFoundry AI Gateway is an enterprise-grade middleware platform that provides unified access to 1000+ LLMs with comprehensive security, observability, and governance features. It offers centralized control for API management, model routing, cost tracking, and performance monitoring while supporting deployment across VPC, on-premise, or air-gapped environments. The platform enables organizations to implement guardrails, enforce compliance policies, and optimize AI operations through features like load balancing, failover mechanisms, and detailed analytics.
Unified Model Access & Control: Single API endpoint to access 1000+ LLMs with centralized key management, rate limiting, and RBAC controls across multiple providers including OpenAI, Claude, Gemini, and custom models
Comprehensive Observability: Real-time monitoring of token usage, latency, costs, and performance metrics with detailed request-level logging and tracing capabilities for debugging and optimization
Advanced Security & Compliance: Built-in guardrails for PII detection, content moderation, and policy enforcement with support for SOC 2, HIPAA, and GDPR compliance requirements
High-Performance Architecture: Sub-3ms internal latency with ability to handle 350+ RPS on 1 vCPU, featuring intelligent load balancing and automatic failover mechanisms
Use Cases of TrueFoundry AI Gateway
Enterprise AI Governance: Large organizations implementing centralized control and monitoring of AI usage across multiple teams and applications while ensuring compliance and cost management
Healthcare AI Applications: Medical institutions deploying AI solutions with HIPAA compliance, PII protection, and strict data governance requirements
Multi-Model Production Systems: Companies running multiple AI models in production that need unified management, monitoring, and optimization of their AI infrastructure
Secure Agent Development: Organizations building AI agents that require secure tool integration, prompt management, and controlled access to various enterprise systems
Pros
High performance with low latency and excellent scalability
Comprehensive security and compliance features
Rich observability and monitoring capabilities
Flexible deployment options (cloud, on-prem, air-gapped)
Cons
May require significant setup and configuration for enterprise deployment
Could be complex for smaller organizations with simple AI needs
How to Use TrueFoundry AI Gateway
Create TrueFoundry Account: Sign up for a TrueFoundry account and generate a Personal Access Token (PAT) by following the token generation instructions
Get Gateway Configuration Details: Obtain your TrueFoundry AI Gateway endpoint URL, base URL, and model names from the unified code snippet in your TrueFoundry playground
Configure API Client: Set up the OpenAI client to use TrueFoundry Gateway by configuring the api_key (your PAT) and base_url (Gateway URL) in your code
Select Model Provider: Choose from available model providers like OpenAI, Anthropic, Gemini, Groq, or Mistral through the unified Gateway API
Set Up Access Controls: Configure rate limits, budgets, and RBAC policies for teams and users through the Gateway admin interface
Implement Guardrails: Set up input/output safety checks, PII controls, and compliance rules using the Gateway's guardrail configuration
Enable Monitoring: Set up observability by configuring metrics, logs and traces to track latency, token usage, costs and performance
Test in Playground: Use the interactive Playground UI to test different models, prompts, and configurations before implementing in production
Deploy to Production: Place the Gateway in your production inference path and route live traffic through it while monitoring performance
Optimize & Scale: Use Gateway analytics to optimize costs, improve latency, and scale infrastructure based on usage patterns
TrueFoundry AI Gateway FAQs
TrueFoundry AI Gateway is a proxy layer that sits between applications and LLM providers/MCP Servers. It provides unified access to 250+ LLMs (including OpenAI, Claude, Gemini, Groq, Mistral) through a single API, centralizes API key management, enables observability of token usage and performance metrics, and enforces governance policies. It supports chat, completion, embedding, and reranking model types while ensuring sub-3ms internal latency.
TrueFoundry AI Gateway Video
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