Overview
LiteLLM OpenAI-compatible API
The LiteLLM proxy API served through the nginx reverse proxy on port 80 - one OpenAI-compatible API in front of 100+ LLM providers, gated by a per-instance master key.
This is a repackaged open source software product wherein additional charges apply for cloudimg support services.
Overview LiteLLM is the popular open source gateway that puts a single OpenAI-compatible API in front of more than 100 large language model providers, including OpenAI, Anthropic, Amazon Bedrock, Azure OpenAI, Google, and self hosted models. It adds load balancing, automatic fallbacks, rate limiting, virtual API keys and spend tracking, so your applications integrate once and switch or combine providers freely. This image delivers the LiteLLM proxy fully installed and configured as a system service, so a production ready LLM gateway is running within minutes of launch. The current release available is LiteLLM 1.88.
Application Stack LiteLLM is installed into a dedicated Python virtual environment under /opt/litellm and run by an unprivileged service account on Python 3.12. It listens on the loopback address and an nginx reverse proxy fronts it on port 80, exposing the unauthenticated liveliness and readiness probes and the OpenAI-compatible API. A systemd service starts the proxy on boot and restarts it on failure.
Secure By Default The proxy is gated by a master key. This image generates a fresh master key, unique to your instance, on its first boot and writes it to a root only file. No shared or default key ships in the image. Callers authenticate with the standard Authorization Bearer header, and the master key also mints scoped virtual keys for your teams and applications.
Ready To Use Add your provider credentials to /etc/litellm/config.yaml, point your application's OpenAI base URL at the instance on port 80, and call any configured model through one API. Because LiteLLM calls out to external model endpoints, the image is CPU only and ships no model weights. Set a database URL to enable virtual keys, the admin UI and spend persistence.
cloudimg Support 24/7 technical support by email and chat. Help with LiteLLM deployment, configuring providers and model routing, load balancing and fallbacks, virtual keys and budgets, TLS termination and scaling.
Use Cases A single unified API for many LLM providers. Centralised key management, rate limiting and spend tracking for AI applications. A self hosted, in your own VPC LLM gateway for teams with data residency or compliance requirements. Provider failover and cost optimisation across models.
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Highlights
- LiteLLM, the open source OpenAI-compatible gateway for 100+ LLM providers, preinstalled as a systemd service in a Python virtual environment behind an nginx reverse proxy on port 80, ready to route requests with no manual setup
- Secure by default: the proxy is gated by a master key generated fresh for every instance on first boot and stored in a root only file, which also mints scoped virtual keys for teams and applications
- 24/7 technical support from cloudimg, with expert help configuring providers and model routing, load balancing and fallbacks, virtual keys and budgets, TLS and scaling
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Dimension | Description | Cost/hour |
|---|---|---|
m5.large Recommended | m5.large | $0.08 |
t3.micro | t3.micro instance type | $0.04 |
t2.micro | t2.micro instance type | $0.04 |
g4ad.4xlarge | g4ad.4xlarge instance type | $0.24 |
m7a.32xlarge | m7a.32xlarge instance type | $0.24 |
x1e.8xlarge | x1e.8xlarge instance type | $0.24 |
c5d.2xlarge | c5d.2xlarge instance type | $0.24 |
r6a.16xlarge | r6a.16xlarge instance type | $0.24 |
m6a.xlarge | m6a.xlarge instance type | $0.12 |
c8a.large | c8a.large instance type | $0.08 |
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Initial release of the LiteLLM 1.88 OpenAI-compatible LLM gateway.
Additional details
Usage instructions
Connect via SSH on port 22 as the default login user for your operating system variant (the user guide lists it per variant; on Ubuntu it is 'ubuntu'). The LiteLLM proxy is served by nginx on port 80. Retrieve the generated master key with: sudo cat /root/litellm-credentials.txt. Health checks are open at http://<instance-public-ip>/health/liveliness; the OpenAI-compatible API requires the master key as 'Authorization: Bearer <master-key>'. Add your provider credentials and models to /etc/litellm/config.yaml, then restart with 'sudo systemctl restart litellm.service'. Point your application's OpenAI base URL at http://<instance-public-ip>/ and call any configured model. The proxy runs on loopback port 4000 and is managed with systemctl (litellm.service, nginx.service). Set DATABASE_URL in /etc/litellm/litellm.env to enable virtual keys, the admin UI and spend persistence. The user guide covers configuring providers, minting virtual keys, and enabling HTTPS.
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Support
Vendor support
cloudimg provides 24/7 technical support for this product by email and live chat. Our engineers help with deployment, configuration, updates, performance tuning and troubleshooting; critical issues receive a one hour average response. Contact support@cloudimg.co.uk .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.