Bytebot Integrations

Helm helps you manage Kubernetes applications, Helm charts help you define, install, and upgrade even the most complex Kubernetes application. Charts are easy to create, version, share, and publish, so start using Helm and stop the copy-and-paste. Charts describe even the most complex apps, provide repeatable application installation, and serve as a single point of authority. Take the pain out of updates with in-place upgrades and custom hooks. Charts are easy to version, share, and host on public or private servers. Use helm rollback to roll back to an older version of a release with ease. Helm uses a packaging format called charts. A chart is a collection of files that describe a related set of Kubernetes resources. A single chart might be used to deploy something simple, like a memcached pod, or something complex, like a full web app stack with HTTP servers, databases, caches, and so on.

​LiteLLM is a versatile platform designed to streamline interactions with over 100 Large Language Models (LLMs) through a unified interface. It offers both a Proxy Server (LLM Gateway) and a Python SDK, enabling developers to integrate various LLMs seamlessly into their applications. The Proxy Server facilitates centralized management, allowing for load balancing, cost tracking across projects, and consistent input/output formatting compatible with OpenAI standards. This setup supports multiple providers. It ensures robust observability by generating unique call IDs for each request, aiding in precise tracking and logging across systems. Developers can leverage pre-defined callbacks to log data using various tools. For enterprise users, LiteLLM offers advanced features like Single Sign-On (SSO), user management, and professional support through dedicated channels like Discord and Slack.

You should simply be able to work on your core product, grow, and get to wherever you want; without having to worry about infrastructure and how to deploy it. Great ideas becoming trainwrecks due to the complex nature of deployments, clusters, Docker, among the many, many other things that can go wrong. Starters allow you to deploy a fully configured project that is automatically connected to infrastructure. Every time you visit your project on Railway, we will check to see if the project it is based on has been updated by its maker. If it has, we will prompt you to update your project. On confirmation, we will create a branch on Github and open a PR deployment for you on Railway. This way, we don’t replace your production deployment and you can test things out within the PR deploy. Once you’re happy with the changes, you can merge the PR and your production deployment will be updated to the latest version.