ai
devpod
ai | devpod | |
---|---|---|
17 | 28 | |
7,812 | 7,872 | |
5.8% | 4.9% | |
9.8 | 9.7 | |
5 days ago | about 8 hours ago | |
TypeScript | Go | |
GNU General Public License v3.0 or later | Mozilla Public License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ai
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Building a SQL Expert Bot: A Step-by-Step Guide with Vercel AI SDK and OpenAI API
The Vercel AI SDK is built for OpenAI APIs and includes a range of tools for utilizing OpenAI APIs.
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AI SDK 3.0: Stream React Components from LLMs to deliver richer user experiences
The AI is calling a function (https://platform.openai.com/docs/guides/function-calling) that is mapped to developer-controlled logic. The easiest thing to do is render specific UIs for every function call, but you can render however you'd like.
We kept the code snippets in the blog post brief, but you can see the full code for the demo here: https://github.com/vercel/ai/tree/main/examples/next-ai-rsc
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Create Your Own Local Chatbot with Next.js, Ollama, and ModelFusion
In this blog post, we'll build a Next.js chatbot that runs on your computer. We'll use Ollama to serve the OpenHermes 2.5 Mistral LLM (large language model) locally, the Vercel AI SDK to handle stream forwarding and rendering, and ModelFusion to integrate Ollama with the Vercel AI SDK. The chatbot will be able to generate responses to user messages in real-time.
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Best way to expand the Next-Langchain starter?
I recently set up the Next-Langchain-starter from Vercel, and it is phenomenal: Easy to setup, easy to modify. So far I've only done a few modifications:
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Fine-Tuning Vercel AI SDK
Vercel AI SDK Playground Documentation
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[P] MLOps for Vercel OpenAI chatbot infrastructure
I used infrastructure as code (IaC) to provision and deploy Vercel's next-openai example. IaC is useful because it applies the same rigor of application code development to infrastructure provisioning. Instead of manual point and click in a cloud console which can be unrepeatable or error-prone, you just store and change all infrastructure configurations as code in source control .
- The Vercel AI SDK: Build Streaming AI Apps with React, Svelte, Solid, and Vue
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How to build and deploy an AI Chatbot like ChatGPT without a credit card
You can use LLM providers other than hugging face such as Anthropic, Langchain adn OpenAI as well. Follow this doc to change the route handler(/api/chat/route.ts) and refer to the section of your chosen LLM provider.
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The New Vercel AI SDK: Your Own Chatbot in a Flash
**References: If you got stuck anywhere feel free to reach out. The Vercel documentation is excellent and the Github repo is also easily clonable if you don't have time to code from the start and just want to get stuck in customising.
- FLaNK Stack Weekly on 26 June 2023
devpod
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Introducing Tapyr: Create and Deploy Enterprise-Ready PyShiny Dashboards with Ease
We recommend using the Dev Container configuration with Visual Studio Code (VS Code) or DevPod to ensure a consistent development experience across different computers and environments. It may sound complicated, but it is as easy as a breeze!
- Show HN: Lapdev, a new open-source remote dev environment management software
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A Journey to Find an Ultimate Development Environment
When you push your code to Github, you can develop the app using codespace and it will automatically set up an online development environment for you. Other tools will make your life easier when developing using a dev container e.g. DevPod.
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Supercharge your remote development environment with DevPod
DevPod is that new kid in town that works on the same standard of devcontainers.json that Codespaces uses but is on the infrastructure of your choice and is open source. The project was just launched this May and has gathered more than 5.3K stars in this period. The advantage is the lower costs (around 5-10 times cheaper than cloud VMs) with auto-shutdown.
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ChromeOS is Linux with Google’s desktop environment
For students, unless there are allocated server resources with network access, it SHOULD/MUST scale down to one local offline ARM64 node (because school districts haven't afforded containers on a managed k8s cloud for students at scale fwiu, though universities do with e.g. JupyterHub and BinderHub [4] and Colab).
For Chromebook sysadmins, Instructors, and Students learning about how {Linux*, ChromiumOS, Android, Git, Bash, ZSH, Python, and e.g. PyData Tools supported by NumFOCUS} are developed, for example;
When you git commit to a git branch, and then `git push` that branch to GitHub, and create a Pull Request, GitHub Actions runs the (container,command) tasks defined in the YAML files in the .github/workflows/ directory of the repo; so `git push` to a PR branch runs the CI job and the results are written back as cards in the Pull Request thread on the GitHub Project; saving to the server runs the (container,command) Actions with that revision of the git repo.
Somewhat-equivalent GitOps CI Continuous Integration workflows (without Bazel or Blaze or gtest or gn, or GitHub Enterprise or GitHub Free due to the kids' intererests) that might be supported at least in analogue by Education and Chromebooks: k8s with podman-desktop in a VM, Gitea Actions (nektos/act; like Github Actions), devpod
devpod: https://github.com/loft-sh/devpod :
> Codespaces but open-source, client-only and unopinionated: Works with any IDE and lets you use any cloud, kubernetes or just localhost docker. (with devcontainer.json, like Github Codespaces)
devcontainer.json is supported by a number of tools; e.g. VScode, IntelliJ,: https://containers.dev/supporting
repo2docker has buildpacks (like Heroku and Google AppEngine).
repo2docker buildpacks should probably work with devcontainer.json too?
repo2docker docs > Usage > "REES: Reproducible Execution Environment" describes what all repo2docker will build a container from: https://repo2docker.readthedocs.io/en/latest/usage.html
jupyterhub/repo2docker builds a Dockerfile (Containerfile) from git repo (or a Figshare/Zenodo DOI) that minimally has at least an /environment.yml and /example.py (and probably also at least a /README.md to start with), and installs a current, updated version of jupyter notebook along with whatever's in e.g. /environment.yml per the REES spec. [1][2][3]
[1] repo2docker/buildpacks/base.py: https://github.com/jupyterhub/repo2docker/blob/main/repo2doc...
[2] "Make base_image configurable" https://github.com/jupyterhub/repo2docker/commit/20b08152578...
[3] repo2docker/buildpacks/conda/environment.py-3.11.yml:
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Vscode.dev: Local Development with Cloud Tools
Also see https://devpod.sh/ which has had quite a lot of exposure on HN recently.
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Simplifying preview environments for everyone
For these reasons, I believe most developer environments should prioritize developer experience over fidelity. Tools like Containerized development environments and cloud emulators can strike the right balance and there’s no surprise that we see increased activity around devcontainers, and similar solutions.
- FLaNK Stack Weekly on 26 June 2023
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Ask HN: What's a good Linux OS and setup to build a dev “network” on my laptop?
Have you considered devcontainers?
Its use results in carrying entire development environments with you, while not cluttering your host OS.
Using DevPod (https://devpod.sh/) ypu are not locked into Visual Studio or Visual Studio Code, but you can use whatever tool you want.
IMO this kind of setup will provide a much better DX than running a bunch of VMs eating away the resources of your laptop.
- Codespaces but open-source, client-only, and unopinionated
What are some alternatives?
ai-chatbot - A full-featured, hackable Next.js AI chatbot built by Vercel
devbox - Instant, easy, and predictable development environments
pygwalker - PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
tilt - Define your dev environment as code. For microservice apps on Kubernetes.
try - Inspect a command's effects before modifying your live system
nitro - Next Generation Server Toolkit. Create web servers with everything you need and deploy them wherever you prefer.
hocus - 🪄 Spin up ready-to-code, disposable dev environments on your own servers. Self-hosted alternative to Gitpod and Github Codespaces.
stream-processing-with-apache-flink
vcluster - vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces.
Mailpit - An email and SMTP testing tool with API for developers
LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline