---
date: 2026-05-25
badge: Launch Week 5 🚀
title: "Experiments CI/CD integration"
description: Run langfuse experiments in GitHub Actions to catch quality regressions before releasing changes to production.
author: Tobias Wochinger
ogImage: /images/changelog/2026-05-05-experiment-ci-cd.png
canonical: /docs/evaluation/experiments/experiments-ci-cd
---

> **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 Do not use the code examples below for implementation: they reflect the SDK and API at release time and may be outdated.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/evaluation/experiments/experiments-ci-cd) and the API/SDK reference (https://api.reference.langfuse.com).

You can now run langfuse experiments in GitHub Actions and catch quality regressions before they ship. The new [langfuse/experiment-action](https://github.com/langfuse/experiment-action) tests your application against a langfuse dataset, reports the result directly on the pull request, and tracks the experiment run in langfuse.

Use it to block a PR when an agent's accuracy drops below a threshold, run a release gate against a versioned dataset, or make experiment results part of your existing CI checks.

## GitHub Actions [#github-actions]

Add the action to your workflow, point it at an experiment script, and choose the dataset that should be used for the gate. The pull request shows whether the experiment passed, regressed, or failed to run.

```yaml
- uses: langfuse/experiment-action@v1.0.0
  with:
    langfuse_public_key: ${{ secrets.LANGFUSE_PUBLIC_KEY }}
    langfuse_secret_key: ${{ secrets.LANGFUSE_SECRET_KEY }}
    langfuse_base_url: https://cloud.langfuse.com
    experiment_path: experiments/support-agent-gate
    dataset_name: support-agent-regression-set
    dataset_version: "2026-04-27T00:00:00Z"
    github_token: ${{ github.token }}
```

When an experiment score misses your threshold, the workflow fails so reviewers can see the regression before merging.

## Get started [#get-started]

Follow the CI/CD integration guide to add the workflow, write your experiment script, and configure the thresholds to protect your production use case.

- [Run Experiments in CI/CD](/docs/evaluation/experiments/experiments-ci-cd)
- [langfuse/experiment-action](https://github.com/langfuse/experiment-action)

<!-- 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/2026-05-25-experiment-ci-cd-gates.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>.
