Editorial take
Why it stands out
LiteLLM should be described as platform infrastructure for model access, not as a general agent framework or consumer AI app.
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Tool profile
Open-source SDK and AI gateway for routing across many LLM providers through a unified OpenAI-compatible interface, with an enterprise tier for security and operations.
Multi-model routing and normalization
LiteLLM is a high-value addition because it solves a very practical platform problem that appears quickly in serious AI stacks: once teams use more than one model provider, they need a cleaner compatibility layer, centralized routing, budget tracking, and safer access control. LiteLLM packages that into both a Python SDK and an AI gateway that normalizes many providers behind a shared interface.
Its pricing story has two layers. The open-source core is free to adopt, which is why it has spread so quickly among builders. On top of that, LiteLLM Enterprise is sold for organizations that need stronger identity, operations, and support, and the official enterprise page offers a 30-day trial key but keeps pricing sales-led rather than publishing a public dollar table. That makes LiteLLM best understood as open-source gateway infrastructure with an optional enterprise control layer, not as a simple hosted LLM app.
Quick fit
Editorial take
LiteLLM should be described as platform infrastructure for model access, not as a general agent framework or consumer AI app.
What it does well
Primary use cases
Fit notes
Compare with
Pressure-test this pick against nearby alternatives.
Pricing snapshot
LiteLLM's open-source SDK and gateway are free to adopt. LiteLLM Enterprise is sales-led, and the official enterprise page offers a 30-day trial key for organizations that need features such as SSO, SCIM, and enterprise support.
AgentOps
Free planAgent observability
Observability for AI agents with tracing, debugging, session visibility, and production monitoring.
Closer to agent observability than to model hosting or prompt tooling
