Overview
LiteLLM is the enterprise LLM proxy used by thousands of teams to centralize and control AI API spend. It presents a single OpenAI-compatible endpoint to your applications while routing requests to Claude, GPT-4, Gemini, Azure OpenAI, or any of 100+ supported providers. Virtual API keys let you issue scoped credentials per team or application with individual budget limits and rate controls. A built-in management dashboard tracks spend, latency, and usage by key, model, and team. All existing OpenAI SDK integrations work without code changes.
Highlights
- Single OpenAI-compatible endpoint routes to Claude, GPT-4, Gemini, and 100+ providers with zero SDK changes
- Virtual API keys with per-team budget limits and rate controls -- central cost governance across all AI spend
- Built-in dashboard tracks spend, latency, and usage per key, model, and team for full observability
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/hour |
|---|---|---|
LiteLLM Gateway - Enterprise LLM Proxy for Claude and OpenAI | Hourly software fee per running container task | $0.01 |
Vendor refund policy
Contact support@waltsoft.net within 30 days.
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Delivery details
ECS Container
- Amazon ECS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Initial container release v1.0.0.
Additional details
Usage instructions
Quick Start
Pull the container image
Run with Docker
Deploy on Amazon ECS
- Create an ECS cluster (Fargate or EC2 launch type)
- Register a task definition using the image above
- Map container port 4000 to the host or load balancer
- Attach a persistent volume at /data for configuration
- Run the service and note the assigned public IP or ALB DNS
Access the application
- Open http://YOUR-HOST:4000 in your browser
- Complete the first-run setup wizard if prompted
- Create your administrator account
Port Mappings
- 4000: Primary web interface
Persistent Data
Mount a volume at /data to preserve configuration across restarts.
Support
Contact support@waltsoft.net for deployment assistance. Response within 24 hours.
Support
Vendor support
For support, contact support@waltsoft.net or visit
AWS infrastructure support
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