e2b-cookbook
gpt-vector-agent
| e2b-cookbook | gpt-vector-agent | |
|---|---|---|
| 9 | 1 | |
| 263 | 9 | |
| 62.0% | - | |
| 9.3 | 5.7 | |
| 2 days ago | 12 months ago | |
| TypeScript | Jupyter Notebook | |
| - | - |
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e2b-cookbook
- Open-source secure sandboxes for AI code execution
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Llama 3 with Function Calling and Code Interpreter
We have a full code on GitHub.
- Show HN: Llama 3 with function calling and code interpreter
- Llama 3 with open source code interpreter
-
Show HN: Add AI code interpreter to any LLM via SDK
Hi, I'm the CEO of the company that built this SDK.
We're a company called E2B [0]. We're building and open-source [1] secure environments for running untrusted AI-generated code and AI agents. We call these environments sandboxes and they are built on top of micro VM called Firecracker [2].
You can think of us as giving small cloud computers to LLMs.
We recently created a dedicated SDK for building custom code interpreters in Python or JS/TS. We saw this need after a lot of our users have been adding code execution capabilities to their AI apps with our core SDK [3]. These use cases were often centered around AI data analysis so code interpreter-like behavior made sense
The way our code interpret SDK works is by spawning an E2B sandbox with Jupyter Server. We then communicate with this Jupyter server through Jupyter Kernel messaging protocol [4].
We don't do any wrapping around LLM, any prompting, or any agent-like framework. We leave all of that on users. We're really just a boring code execution layer that sats at the bottom that we're building specifically for the future software that will be building another software. We work with any LLM. Here's how we added code interpreter to Claude [5].
Our long-term plan is to build an automated AWS for AI apps and agents.
Happy to answer any questions and hear feedback!
[0] https://e2b.dev/
[1] https://github.com/e2b-dev
[2] https://github.com/firecracker-microvm/firecracker
[3] https://e2b.dev/docs
[4] https://jupyter-client.readthedocs.io/en/latest/messaging.ht...
[5] https://github.com/e2b-dev/e2b-cookbook/blob/main/examples/c...
- Show HN: Add Code Interpreter to Claude 3 Opus
- AI Developer working on your repo
- Show HN: AI Agent with access to GitHub and it's own cloud sandbox to edit files
- Build custom code interpreter with GPT
gpt-vector-agent
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Anyone here involved with medical research studies or data journalism?
I just looked it up and this repo has links to the necessary tools, but I’m pretty sure you could Google or GPT how to use said tools that best fit your specific prices and just run it in the cli. Hope that helps; sounds like you’ve already managed some of the harder parts and just need to get past the tedious prompting parts!
What are some alternatives?
open-cravat - A modular annotation tool for genomic variants
Roy - Roy: A lightweight, model-agnostic framework for crafting advanced multi-agent systems using large language models.
chatgpt-plugin - Powered by AI Playgrounds by E2B. Code interpreter on steroids for ChatGPT. Run any language, any terminal process, use filesystem freely. All with access to the internet. [Moved to: https://github.com/e2b-dev/llm-code-interpreter]
WordPress-Plugin-Boilerplate-Tutorial - Tutorials and Examples for WordPress Plugin Boilerplate, a foundation for WordPress Plugin Development.
llm-code-interpreter - [DEPRECATED] Powered by AI Playgrounds by E2B. Code interpreter on steroids for ChatGPT. Run any language, any terminal process, use filesystem freely. All with access to the internet.
SmartGPT - SmartGPT is a Node.js webpage implementation of a dynamic prompting system, inspired by [AI Explained](https://www.youtube.com/@ai-explained-) on YouTube. This tool generates multiple responses to a prompt and evaluates their quality.
evalgpt - EvalGPT is an code interpreter framework that utilizes large language models to automate the process of code-writing and execution, delivering precise results for user-defined tasks.
DuckDuckGPT - 🐤 DuckDuckGo add-on that brings the magic of ChatGPT to search results (powered by GPT-4!)
llm-client-sdk - SDK for using LLM
E2B - Secure cloud runtime for AI apps & AI agents. Fully open-source.
code-interpreter - Python & JS/TS SDK for adding code interpreting to your AI app
firecracker - Secure and fast microVMs for serverless computing.