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LiteLLM alternatives
Compare the best alternatives to LiteLLM: pricing, use cases, AI models, integrations, privacy and governance.
LiteLLM alternatives
This page compares alternatives to LiteLLM by pricing, use case, AI models, integration, privacy and governance.
| Alternative | Price | Best for | Governance | Compare |
|---|---|---|---|---|
| LangGraph LangChain's open-source framework for stateful, controllable and production-ready agent workflows. |
Open source / platform | Building reliable stateful agents, multi-agent graphs and long-running workflows | MIT open-source framework for local use; hosted platform and enterprise controls depend on LangSmith plan | LiteLLM vs LangGraph |
| LangSmith LangChain's observability and evaluation platform for debugging and improving LLM applications. |
$0+ usage | Tracing, debugging, evaluating and monitoring LangChain and agent applications | Hosted platform with enterprise and self-host/hybrid options for larger organizations | LiteLLM vs LangSmith |
| Langfuse An open-source LLM engineering platform for tracing, evals, prompts and cost governance. |
$0+ | Open-source LLM observability, evals, prompt management and cost tracking | MIT open-source core with free self-hosting and enterprise cloud/self-managed options | LiteLLM vs Langfuse |
| OpenAI Agents SDK OpenAI's lightweight SDK for building production agent loops with tools, handoffs and tracing. |
Open source + API usage | Code-first agent applications with tool execution, handoffs, tracing and state | SDK is open source; data handling follows the selected model provider and runtime configuration | LiteLLM vs OpenAI Agents SDK |
| Vercel AI SDK Vercel's open-source toolkit for adding streaming AI features, tools and agents to web apps. |
Open source + provider usage | Building streaming AI applications and agents in modern web frameworks | Open-source SDK runs in your app; privacy follows the selected model provider and deployment target | LiteLLM vs Vercel AI SDK |
| LlamaIndex A leading data framework for building RAG and document-agent applications around private knowledge. |
$0+ credits | RAG, document agents, parsing, indexing and data workflows for LLM applications | Open-source framework for local use; cloud parsing/indexing data handling depends on LlamaCloud configuration | LiteLLM vs LlamaIndex |
| OpenHands A serious open-source platform for autonomous coding agents, team workflows and enterprise self-hosting. |
Open source · free local start | Open-source cloud coding agents and org-wide automation | Open-source, self-hosted and private-cloud deployment options | LiteLLM vs OpenHands |
| Braintrust A collaborative AI eval and observability platform for measuring agent quality before and after release. |
$0+ usage | Evaluation, experiments and observability for production AI products | Hosted observability with enterprise security and retention controls | LiteLLM vs Braintrust |
| Arize Phoenix Arize's open-source observability platform for tracing, evaluating and improving AI applications. |
$0+ | Open-source AI observability, tracing, evaluation and prompt iteration | Open-source Phoenix can run locally or self-host; Arize cloud adds managed team controls | LiteLLM vs Arize Phoenix |
| Promptfoo An open-source LLM testing and red-teaming toolkit for catching quality and security regressions. |
Open source / enterprise | Automated LLM evals, red teaming, security testing and CI/CD checks | Open-source local evals and on-prem enterprise deployment for controlled infrastructure | LiteLLM vs Promptfoo |
Frequently asked questions
What is the best alternative to LiteLLM?
LangGraph is the first alternative to compare, but the right choice depends on budget, governance, agent mode and team workflow.
Why look for an alternative to LiteLLM?
Common reasons include cost, usage limits, privacy, IDE/CLI integration, suggestion quality or enterprise controls.
How can teams avoid a poor migration?
Test two or three alternatives on the same ticket, then compare diffs, errors, speed and security constraints before switching.