Prompt engineering ↗
noOriginal Documentation
Documentation Index#
Fetch the complete documentation index at: https://docs.langchain.com/llms.txt Use this file to discover all available pages before exploring further.
The following sections help you create, manage, and optimize your prompts:
Build prompts via the UI or SDK, configure settings, use tools, add multimodal inputs, and connect model providers.
Organize with tags, commit changes, trigger webhooks, and share through the public prompt hub.
Browse and manage prompt tags and discover community prompts from the LangChain Hub.
Test and experiment with prompts using custom endpoints and model configurations.
Learn step-by-step techniques, like optimizing classifiers and advanced prompt engineering.
Use Polly in the Prompt Playground to optimize prompts, generate tools, and create output schemas with AI-powered assistance.
To set up a LangSmith instance, visit the Platform setup section to choose between cloud, hybrid, or self-hosted. All options include observability, evaluation, prompt engineering, and deployment.
Edit this page on GitHub or file an issue.
Connect these docs to Claude, VSCode, and more via MCP for real-time answers.