---
title: How do I list prompts with a specific label?
seoTitle: "List Prompts by Label or Tag via the API"
description: Use GET /api/public/v2/prompts with the label parameter, or langfuse.api.prompts.list in the SDKs, to list prompts that carry a label or tag.
tags: [prompt-management, public-api]
---

# How do I list prompts with a specific label?

Call `GET /api/public/v2/prompts` with the `label` query parameter:

```bash
curl -u "$LANGFUSE_PUBLIC_KEY:$LANGFUSE_SECRET_KEY" \
  "https://cloud.langfuse.com/api/public/v2/prompts?label=production&limit=100"
```

Other query parameters are `name`, `tag`, `version`, `fromUpdatedAt`, `toUpdatedAt`, `page` (starts at 1), and `limit` (up to 100). The response lists each matching prompt with its versions and labels. The `versions` and `labels` in the response include only the versions that match your filter.

With the SDKs:

**Python SDK**

```python
from langfuse import get_client

langfuse = get_client()
prompts = langfuse.api.prompts.list(label="production", limit=100)
```

**JS/TS SDK**

```ts
import { LangfuseClient } from "@langfuse/client";

const langfuse = new LangfuseClient();
const prompts = await langfuse.api.prompts.list({ label: "production", limit: 100 });
```

To fetch the content of a prompt, use `langfuse.get_prompt()` (Python) or `langfuse.prompt.get()` (JS/TS). See [Get started with prompt management](/docs/prompt-management/get-started).

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---

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### 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?"
  ```

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### 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>.