llm-gateway
A self-hosted OpenAI-compatible LLM gateway for developer and platform teams to turn internal backend services into tool-using agent workflows and chat/API outputs.
Tool overview
Based on the available evidence, llm-gateway looks more like a project worth tracking than a broadly validated default choice. The current evidence is essentially limited to its GitHub repository, with about 13 stars and 0 forks. That is enough to show the project is public and has attracted some early attention, but that is heat proof, not proof of usability, reliability, or production maturity. Any adoption decision should currently treat it as an early-stage infrastructure project.
In practical terms, this is not a general chatbot product and not a single-model provider. A more accurate comparison is a self-hosted OpenAI-compatible AI gateway plus a lightweight agent orchestration layer. The evidence supports claims that you can point an OpenAI SDK at it, execute tools during completion, expose backend services as agent-usable tools, and use built-in chat UI, RAG, MCP connectors, multi-backend routing, plus enterprise controls such as OIDC and RBAC. That is meaningfully different from a full no-code AI app builder.
On cost and effort, the evidence only clearly supports that it is a self-hosted open-source project.
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