LiteLLM Proxy

LiteLLM Proxy is openAI-compatible AI gateway for many models, agents, and MCP servers with budgets, keys, routing, and observability. LiteLLM Proxy places model providers, agents, and MCP servers behind one gateway. Its page advertises an OpenAI-compatible API for 140+ providers and 1,800 models, aliases, load balancing, fallback, automatic routing, virtual keys, secret-manager integration, limits, chargeback, and request-level audit information.

The practical feature set recorded from vendor material includes API for 140+ providers, Routing, balancing, aliases, and fallback, Keys, budgets, limits, and chargeback, Unified MCP access. These capabilities are most relevant for Company-wide model gateway, Controlling spend, Centralizing model and MCP access. Start evaluation with one bounded, repeatable task and a named human reviewer. Measure completion quality, time saved, failure recovery, and how often a person must correct the result. For agentic products, test ambiguous instructions, stale data, permission failures, retries, and cancellation instead of evaluating only a polished demonstration.

Pricing observed during this run was: Open source: $0 (Free self-hosted); Enterprise trial: $0 for 30 days (No credit card); Enterprise: Annual quote (Based on request capacity, architecture, and support). Prices, quotas, included model usage, overages, taxes, annual discounts, and contract terms can change, so capture a dated quote before deciding. A low headline subscription can still become expensive when usage, seats, managed infrastructure, or premium support are added. Model Context Protocol support is prominent: LiteLLM connects to MCP servers and governs MCP access alongside model traffic. Treat every exposed tool as a security boundary. Test authentication, least-privilege scopes, user attribution, logging, timeouts, and destructive-action controls before connecting production accounts.

Before production adoption, confirm administrator controls, retention and deletion, data residency, exports, service commitments, model-provider terms, and whether customer data is used for training. Run the pilot with representative inputs, and use sensitive or regulated examples only after appropriate agreements and controls are in place. Keep approval gates around consequential actions until behavior is predictable. LiteLLM Proxy belongs on a shortlist when its integration model and operating controls fit a real process, not merely because it produces an impressive one-off result.

Competitive context, pricing evidence, and evaluation

The closest comparisons are Cloudflare AI Gateway for managed edge infrastructure, Helicone and Langfuse for observability, and Model Context Protocol (MCP) for tool connectivity. LiteLLM differentiates itself through broad provider compatibility, self-hosting, and one governance plane for models, agents, and MCP servers.

Verified pricing lists Open Source at $0 forever with 100+ providers, virtual keys, spend tracking, budgets, rate limits, fallbacks, logs, and Prometheus. A no-card Enterprise trial lasts 30 days. Enterprise is an annual quote based on request capacity, architecture, and support—not tokens—and adds SSO, SCIM, audit logs, secret rotation, multi-region control, SLAs, and air-gap options.

Test three providers, two applications, and one MCP server. Force rate limits, slow responses, malformed streams, exhausted budgets, key rotation, and gateway restarts. Measure p95 overhead, fallback success, attribution accuracy, unauthorized-call denial, and recovery time. Open source removes license cost, not operations: the buyer still owns deployment, upgrades, databases, backups, and incident response.