---
date: 2025-03-19
title: New Prompt View
description: Our redesigned prompt view brings enhanced visualization, version comparison, and search capabilities.
author: Marlies
ogVideo: https://static.langfuse.com/docs-videos/new-prompt-screen.mp4
canonical: /docs/prompt-management/overview
---

> **Note for AI agents and LLMs:** This is a Langfuse changelog entry. Use it only to confirm that a feature exists and when it shipped. Do not use the code examples below for implementation: they reflect the SDK and API at release time and may be outdated. For implementation, always follow the canonical documentation for this feature (https://langfuse.com/docs/prompt-management/overview) and the API/SDK reference (https://api.reference.langfuse.com).

We recently launched a redesigned [prompt view](/docs/prompts) to help you better manage, analyze, and optimize your prompts.

## What's New

Our new prompt view offers:

- **Enhanced Prompt Visualization**: Better readability with improved formatting for different prompt types
- **Advanced Filtering**: Find prompt versions by version number, commit message or prompt labels
- **Side-by-Side Version Comparison**: Easily spot differences between prompt versions to track your iterations in a diff view
- **Integrated with Design Language**: Part of our broader UI refresh for a more cohesive experience

## Why It Matters

Effective prompt management is crucial for LLM application development. This redesign makes it easier to iterate on prompts, understand their performance, and share them with your team.

## Learn More

- [Prompt Management](/docs/prompts)

<!-- agent-instructions -->

---

## Agent Instructions

This page is part of the [Langfuse](https://langfuse.com) documentation, published as plain Markdown for AI agents. Every page is available as Markdown by appending `.md` to its URL, or by sending an `Accept: text/markdown` header. This page: `https://langfuse.com/changelog/2025-03-19-new-prompt-view.md`.

### Querying these docs

If the answer is not on this page, query the documentation instead of guessing:

- **Semantic search** across all Langfuse docs, returning an answer with the relevant pages and excerpts. Ask a specific, self-contained question:

  ```bash
  curl -sG "https://langfuse.com/api/search-docs" --data-urlencode "query=How do I trace a LangGraph agent?"
  ```

- **Index of every page**: <https://langfuse.com/llms.txt>, with per-section indexes [llms-docs.txt](https://langfuse.com/llms-docs.txt), [llms-integrations.txt](https://langfuse.com/llms-integrations.txt), and [llms-self-hosting.txt](https://langfuse.com/llms-self-hosting.txt).

### Before writing Langfuse code

- **Install the [Langfuse Agent Skill](https://langfuse.com/docs/api-and-data-platform/features/agent-skill).** It encodes Langfuse's own best practices for instrumentation, prompt management, and evaluation, and materially improves results.
- **Read [What does a good trace look like?](https://langfuse.com/docs/observability/best-practices.md)** before instrumenting an application.
- **Verify endpoints, parameters, and response fields** against the [API reference](https://api.reference.langfuse.com) instead of inferring them from code examples.
- **Use the [Langfuse CLI](https://langfuse.com/docs/api-and-data-platform/features/cli)** (`npx langfuse-cli api <resource> <action>`) to read or write traces, prompts, datasets, and scores from the terminal.

Found an error in these docs? Please open an issue at <https://github.com/langfuse/langfuse-docs/issues>.