Llm Call Tracing With Weave

via “llm-call-tracing-with-weave”

ML experiment tracking — logging, sweeps, model registry, dataset versioning, LLM tracing.

Unique: Uses Python decorators (`@weave.op()`) to automatically capture function inputs, outputs, and execution time without modifying function logic. Integrates with LLM SDK internals to extract token counts and costs directly from API responses, avoiding manual calculation.

vs others: More developer-friendly than Langsmith for quick prototyping because tracing is enabled with a single decorator and automatic instrumentation, whereas Langsmith requires explicit callback integration and more boilerplate code.