Working with large language models and model APIs from OpenAI, Anthropic, Google, and beyond. Compare model capabilities, pricing, and context windows, and master structured outputs, streaming, and function calling. Includes integration patterns and real code examples for TypeScript and Node.js projects.
Running vllm serve doesn't start one program — it spawns a tree of API servers, engine cores, GPU workers, and sometimes a DP Coordinator, all wired together with ZMQ sockets. This walkthrough traces vLLM's V1 multi-process architecture from the CLI to the first forward pass on the device, step by…
When you call a model through LiteLLM, the model string you send is just a public name for a pool of deployments — and the Router decides which one actually answers. This deep dive traces that decision end to end: model_name matching, multi-provider model groups, routing groups vs. access groups…