Getting Started with LangSmith (2/6): Playground & Prompts

Core Features of Langsmith for Prompt Engineering - Langsmith offers a prompt playground for modifying and testing LLM prompts, accessible via the left-hand navigation or from individual traces containing LLM calls [2][3][4] - The platform includes a prompt hub for saving and versioning LLM prompts, facilitating collaboration and managing frequently changing prompts [6][7] - Langsmith provides a prompt canvas, which uses an LLM agent to help optimize prompts, useful for refining wording and targeting specific sections of the prompt [15][16] Workflow and Application - Users can import existing prompts and outputs from traces into the playground to iterate and refine the prompt based on actual application behavior [4] - The prompt hub allows users to save prompts with input variables, making them more flexible and reusable across different contexts [7][8] - Saved prompts can be accessed via code snippets, enabling dynamic pulling of prompts from the prompt hub into applications, avoiding hardcoding [10][11] - Specific versions or commits of prompts can be used in applications by specifying the commit hash when pulling from the prompt hub [18] Optimization and Version Control - The prompt canvas can rewrite prompts to achieve specific goals, such as returning responses in a different language, and can be constrained to modify only selected sections [16][17] - The platform supports version control, allowing users to track changes and revert to previous versions of prompts as needed [9][13]