Turn any AI endpoint into a managed API

Traefik AI Gateway accelerates AI adoption by turning any AI endpoint into an API that can be managed with unprecedented ease, speed & control

A diagram to illustrate the AI Gateway

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Challenges

5 Key Challenges of Deploying AI in the Enterprise

Organizations adopting AI, language models, and autonomous agents to drive innovation face a new set of challenges:

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1. Mitigating Vendor Lock-In and Inflexibility

Dependence on a single AI provider limits adaptability, stifles innovation by restricting experimentation with new LLMs, and weakens negotiation leverage due to vendor reliance.

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2. Overcoming Integration Complexity Across Multiple AI Models

Managing different LLMs with unique APIs and SDKs is complex, resource-intensive, and delays AI solutions due to time-consuming integrations and extended development efforts.

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3. Enhancing Security and Credential Management

Managing sensitive API credentials is challenging due to exposure risks from disparate systems, inconsistent security protocols complicating policy enforcement, and compliance difficulties arising from scattered credential management.

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4. Establishing Unified Governance, Enforcing Policy & Reigning in Shadow IT

Without centralized governance, inconsistent policies impede uniform enforcement of authentication, authorization, and rate limiting. This leads to inefficiencies, potential misuse of AI resources, and allows shadow IT to thrive, further escalating security risks and regulatory non-compliance.

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5. Navigating Limited Observability and Monitoring

Without unified visibility, AI operations are significantly hindered by limited observability. Fragmented monitoring tools and data silos obstruct comprehensive analysis, making it challenging to optimize workflows without holistic insights.

The Solution

Introducing Traefik AI Gateway

Traefik’s new AI feature is now available in both Traefik Hub API Gateway and API management. This simple yet powerful functionality transforms the existing API Gateway into a flexible egress gateway, leveraging the extensive middleware and plugin options already available.

This centralized egress point manages and secures outbound traffic from internal applications and AI agents to external AI services like Large Language Models (LLMs). By offering a unified AI API, it simplifies integration with multiple AI models, enforces security policies, centralizes credential management, and provides comprehensive observability and control over AI operations within your infrastructure. Additionally, each AI endpoint can be fully lifecycle-managed, secured, and monitored as an API. And, each AI endpoint can be fully lifecycle managed, secured, and observed as an API.

image here showing the AI GW being used in an egress pattern. Left side (Applications)... Middle (Traefik AI GW runtime engine) …. Right side (Various LLMs)

Unlock the potential of your AI endpoints with Traefik AI Gateway

Experience seamless integration, enhanced security, and comprehensive insights.

Simplicity

Effortless Multi-LLM Integration

Safety

Centralized Security and Credentials Management

Agility

Seamless Provider Flexibility

Clarity

Comprehensive Observability and Insights

Trust

Data Protection and Compliance

1.

Effortless Multi-LLM Integration

Unified API Access: Connect to the most popular LLMs through a single OpenAI-based API. Supports Anthropic, Azure OpenAI, AWS Bedrock, Cohere, Gemini, Mistral, Ollama, and OpenAI.

Simplified Architecture: Eliminate the need for multiple client SDKs and complex integrations.

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2.

Centralized Security and Credential Management

Secure Credentials: Manage all LLM API keys in one secure location, shielding them from clients.

Consistent Policies: Enforce authentication, authorization, and rate limiting uniformly across all LLM traffic.

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3.

Seamless Provider Flexibility

Easy Switching: Change between LLM providers without modifying client applications.

Vendor Agility: Avoid vendor lock-in and choose the best LLMs for your evolving needs.

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4.

Comprehensive Observability and Insights

Integrated Monitoring: Gain rich visibility into LLM usage with industry-leading OpenTelemetry support.

Optimize Performance: Use real-time data to enhance AI workflows and resource utilization.

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5.

Data Protection and Compliance

Safeguard Data: Utilize local, self-hosted LLMs via Ollama and Mistral to keep sensitive information in-house.

Unified Governance: Maintain compliance with organizational policies and industry regulations through centralized control.

Mitigate Shadow IT: Reduce unauthorized use of external AI services by providing secure, centrally managed AI resources within your infrastructure.

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Get Started with Traefik AI Gateway Today

Embrace, manage, and build AI faster and safer.

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