Best LLM Gateways & Aggregators Tools

Single API/proxy across multiple model providers with routing, fallbacks, keys/billing unification, and basic observability.

LLM gateways and aggregators provide a single API layer that abstracts multiple large language model providers. They handle request routing, fallback mechanisms, unified billing, and basic observability, simplifying integration for developers and enterprises. Both open-source and commercial offerings exist, ranging from lightweight proxies to feature-rich SaaS platforms. These solutions enable organizations to switch providers, balance costs, and maintain consistent monitoring without rewriting application code.

Top Open Source LLM Gateways & Aggregators platforms

LiteLLM logo

LiteLLM

Unified gateway for all LLM APIs with OpenAI compatibility

Stars
37,986
License
Last commit
1 day ago
PythonActive
Portkey AI Gateway logo

Portkey AI Gateway

Fast, secure routing hub for 1600+ AI models

Stars
10,794
License
MIT
Last commit
2 days ago
TypeScriptActive
Higress logo

Higress

Cloud-native API gateway with AI and Wasm extensibility

Stars
7,662
License
Apache-2.0
Last commit
2 days ago
GoActive
Bifrost logo

Bifrost

Unified AI gateway with instant failover and zero-config startup

Stars
2,725
License
Apache-2.0
Last commit
2 days ago
GoActive
Envoy AI Gateway logo

Envoy AI Gateway

Unified gateway for secure, scalable generative AI traffic

Stars
1,410
License
Apache-2.0
Last commit
2 days ago
GoActive
Most starred project
37,986★

Unified gateway for all LLM APIs with OpenAI compatibility

Recently updated
1 day ago

LiteLLM provides a single Python interface to call dozens of LLM providers—OpenAI, Azure, Anthropic, Bedrock, HuggingFace, and more—using the familiar OpenAI request/response format.

Dominant language
Go • 3 projects

Expect a strong Go presence among maintained projects.

What to evaluate

  1. 01Integration Flexibility

    Assess how easily the gateway connects to various model providers, supports custom adapters, and integrates with existing CI/CD pipelines.

  2. 02Routing and Fallback Capabilities

    Evaluate the granularity of routing rules (e.g., by model, latency, cost) and the robustness of automatic fallback when a provider is unavailable.

  3. 03Cost and Billing Unification

    Look for features that consolidate usage metering, support per-request cost tags, and provide unified invoicing across providers.

  4. 04Observability and Monitoring

    Consider built-in logging, request tracing, latency dashboards, and export options to external monitoring tools.

  5. 05Security and Compliance

    Check for API-key vaulting, role-based access control, data residency options, and compliance certifications relevant to your industry.

Common capabilities

Most tools in this category support these baseline capabilities.

  • Unified REST/GraphQL API
  • Provider-agnostic routing rules
  • Automatic fallback to alternate models
  • Per-request cost tagging
  • Centralized API-key management
  • Rate limiting and quota enforcement
  • Request/response logging
  • Latency and usage dashboards
  • Streaming response support
  • Plug-in architecture for custom adapters
  • OpenAPI/Swagger documentation
  • Multi-tenant isolation
  • SLA and uptime monitoring
  • Model version selection

Leading LLM Gateways & Aggregators SaaS platforms

Eden AI logo

Eden AI

Unified API aggregator for AI services across providers

LLM Gateways & Aggregators
Alternatives tracked
5 alternatives
OpenRouter logo

OpenRouter

One API for 400+ AI models with smart routing and unified billing/BYOK

LLM Gateways & Aggregators
Alternatives tracked
5 alternatives
Vercel AI Gateway logo

Vercel AI Gateway

Unified AI gateway for multi-provider routing, caching, rate limits, and observability

LLM Gateways & Aggregators
Alternatives tracked
5 alternatives
Most compared product
5 open-source alternatives

Eden AI offers a single API to multiple AI engines (vision, speech, NLP), selecting the best provider per task and price.

Leading hosted platforms

Frequently replaced when teams want private deployments and lower TCO.

Typical usage patterns

  1. 01Multi-Provider Orchestration

    Applications send all LLM requests to the gateway, which selects the optimal provider based on predefined criteria such as cost or performance.

  2. 02Dynamic Routing for Cost Optimization

    Routes are adjusted in real time to favor cheaper providers for low-risk prompts while reserving premium models for critical tasks.

  3. 03Failover and Redundancy

    If a primary provider experiences downtime, the gateway automatically retries the request with a secondary provider to maintain service continuity.

  4. 04Centralized Billing Management

    Teams consolidate usage across providers into a single dashboard, simplifying expense tracking and budget enforcement.

  5. 05A/B Testing of Model Versions

    The gateway can split traffic between different model versions or providers, enabling data-driven evaluation of output quality.

Frequent questions

What is the primary benefit of using an LLM gateway?

It consolidates access to multiple model providers behind a single API, reducing integration complexity and enabling unified routing, cost control, and observability.

Can I route requests based on cost or latency?

Yes, most gateways allow rule-based routing that selects providers according to cost tags, latency thresholds, or custom business logic.

How does fallback work when a provider fails?

If a request to the primary provider returns an error or times out, the gateway can automatically retry the request with a secondary provider configured as a fallback.

Do gateways handle billing for all connected providers?

Many gateways aggregate usage metrics and expose cost tags, allowing a single billing view, though actual invoicing may still be performed by each provider.

Is it possible to use an open-source gateway in production?

Open-source projects like LiteLLM, Portkey AI Gateway, and Envoy AI Gateway are widely adopted in production environments, provided they meet your security and scalability requirements.

What observability features are typically included?

Gateways usually provide request logging, latency dashboards, usage analytics, and integrations with external monitoring tools such as Prometheus or Grafana.