Launched January 3, 2023
EdgeChains

EdgeChains

EdgeChains is a new Language & Grammar for production-friendly Generative AI. Based on Jsonnet & works everywhere (java, python, js,etc). Prompts live declaratively & "outside code". Easy to Reason/Test/Deploy.

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Generative AI's "Few-shot" flexibility removes model build constraints, shifting the challenge towards orchestration. Most SDKs resist this change, keeping inflexible Python classes. Edgechains presents a declarative config solution built on Google's jsonnet, shifting the paradigm to orchestration.

EdgeChains is a declarative config framework for production-ready generative AI applications using Jsonnet.

for
Developers building and deploying LLM chains and prompt workflows.
pricing
open source
license
AGPL-3.0
arakoodev/EdgeChains 429 244JavaScriptupdated 15 days ago
works withJavaPythonJavaScriptTypeScriptWebAssemblySupabasePostgreSQL

Key features

6 features of EdgeChains
  • Single-file deployment — Run a production-ready GenAI app with just one script and one Jsonnet file.
  • Versionable prompts — Prompts are written in Jsonnet, making them easy to diff and version control.
  • Automatic parallelism — Parallelizes LLM chains across CPUs, GPUs and TPUs via WebAssembly.
  • Fault tolerance — Retries and backs off on failed requests to keep the workflow running.
  • Scalability — Handles large numbers of APIs, long prompts and vector datasets.
  • Token cost tracking — Built-in measurement of token usage for each prompt or chain.

Use cases

  • Deploy a chat-with-PDF assistant that queries a Supabase vector store.
  • Run REACT-style or HyDE prompt chains across multiple LLM providers.
  • Version and test prompt changes without modifying application code.
  • Scale chain-of-thought reasoning tasks on GPU or TPU clusters.

EdgeChains FAQ

Is EdgeChains production ready?+

Yes, it builds on Cloudflare's honojs and Google's Jsonnet, both proven in production.

How are prompts managed?+

Prompts are written in Jsonnet files, keeping them declarative, versionable and testable outside the code.

Does EdgeChains handle parallel execution?+

It automatically parallelizes LLM chains across CPUs, GPUs and TPUs using a WebAssembly runtime.

What licensing options are available?+

EdgeChains is released under AGPL-3.0 and also offers a commercial license on request.

How can I try the library?+

Clone the GitHub repo, install dependencies, configure secrets, and run the provided examples.

Summarized by DevHunt from github.com · Oct 4, 2026. Details may change; check the official site.