Build evaluation pipelines for LangSmith with LLM-as-Judge and custom code evaluators.

• ›Three core components: creating evaluators (LLM-as-Judge or custom code), defining run functions to capture agent outputs and trajectories, and running evaluations locally or auto-running via uploaded evaluators
• ›Supports both offline evaluators (comparing run outputs to dataset examples) and online evaluators (real-time quality checks on production runs)
• ›Requires LangSmith API key and project confi