> ## Documentation Index
> Fetch the complete documentation index at: https://langtail.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# What is Langtail?

Langtail is an LLMOps (Large Language Model Operations) platform designed to help teams accelerate the development of AI-powered applications and streamline the process of shipping them to production with fewer surprises. It provides a comprehensive suite of tools and features to manage the entire lifecycle of language models, from experimentation and testing to deployment and monitoring.

<iframe width="720" height="400" src="https://www.youtube.com/embed/0g1oGDxYOck?si=wRGy5O3hWu0CuWoP" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen />

### Key Features

<CardGroup cols={2}>
  <Card title="Collaborative Prompt Development" icon="play" href="/tutorials/playground/overview">
    Leverage the Playground to experiment, debug, and collaborate on prompts in a user-friendly environment, allowing teams to iterate and refine their language models effectively.
  </Card>

  <Card title="Performance Testing" icon="screwdriver-wrench" href="/tutorials/tests/overview">
    Create a suite of tests to evaluate how changes to prompt text or LLM parameters affect the application's performance, ensuring consistent and reliable behavior.
  </Card>

  <Card title="Seamless Deployment" icon="rocket" href="/tutorials/deployments/overview">
    Publish prompts as API endpoints, enabling teams to iterate on their language models without redeploying the entire application codebase.
  </Card>

  <Card title="Real-time Monitoring and Insights" icon="chart-simple" href="/tutorials/logs-and-metrics/overview">
    Observe real-world user inputs and how the language model responds. Monitor important data points such as latency and cost, allowing teams to optimize their language models for efficiency and cost-effectiveness.
  </Card>
</CardGroup>

<Tabs>
  <Tab title="Langtail as a Proxy">
    <img src="https://mintcdn.com/langtail-64/ca3hBu6aHdxqHnlL/images/quickstart/Proxy.png?fit=max&auto=format&n=ca3hBu6aHdxqHnlL&q=85&s=c6404e508a11501ca67f4abee8d3cf15" alt="Langtail schema with proxy solution" width="5496" height="4024" data-path="images/quickstart/Proxy.png" />
  </Tab>

  <Tab title="Proxyless solution">
    <img src="https://mintcdn.com/langtail-64/ca3hBu6aHdxqHnlL/images/quickstart/Proxyless.png?fit=max&auto=format&n=ca3hBu6aHdxqHnlL&q=85&s=7425214d3c5b12eb4fb94445478a1959" alt="Langtail schema with proxyless solution" width="5496" height="4024" data-path="images/quickstart/Proxyless.png" />
  </Tab>
</Tabs>

### Why Use Langtail?

Do any of these situations sound familiar?

* I have a text file of sample user inputs and I paste them one by one into my app to see the output “seems good”.
* My teammate from marketing wants to help write prompts but … all of them live in the codebase. So, I paste the prompt into a Google Doc and share it with them. Then copy it back to code when they’re done.
* I have no idea if some users are costing me more money than others. The only data I have available is the monthly spend chart from OpenAI’s billing dashboard.
* My LLM provider released a new version of their model but I’m too nervous to upgrade because I don’t want to break my app.

We are developers ourselves. We know from our own experience (and Twitter) that building great AI-powered products is hard. On top of that, the landscape is changing very quickly and can be overwhelming at times.

**We built Langtail to address the pain points that a team experiences as they take their proof-of-concept and turn it into a real product that can be shipped to production.**

Want to give it a try? [**Create a free Langtail account.**](https://langtail.com/sign-up)

### Updates

Stay up-to-date with the latest changes and improvements to Langtail by checking our [changelog](https://feedback.langtail.com/changelog).

### Get in Touch

Join our [Discord community](https://discord.com/invite/PpNqWYdBCS) to report bugs, request features, or engage with other Langtail users and the development team. We value your feedback and contributions to help improve Langtail.

Additionally, you can check our [public roadmap](https://feedback.langtail.com/) to see what's coming next and contribute your ideas.

For more information, visit our [GitHub repository](https://github.com/langtail) and explore the codebase, documentation, and issue tracker.