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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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I have something similar[0] but with a different philosophy. Basically, a docker container running and you can execute code against with ability to set timeouts, auto install and uninstall dependencies and a bunch of other cool stuff.
The pain point of all of this is dependencies and making sure someone doesn’t use your infrastructure to DDOS other folks.
0. https://github.com/Jonathan-Adly/AgentRun
Hey everyone! 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 the new Llama-3 models [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/l...
We'll have nice and easy support for self-hosting soon-ish.
In the meantime, everything is open-source and the infra is codified with Terraform. GCP should have the best support now. If you want to dig into it, we'd love to give you support along the road so we can improve the process.
Our infra repo [0] is a good place to start. Once you have E2B deployed, you can just change E2B_DOMAIN env var and use our SDK.
Feel free to email me, join our Discord, or open an issue if you have any questions
[0] https://github.com/e2b-dev/infra