Adopters
PromptPack v1.5.1 is published and running in production at AltairaLabs, with a reference implementation and a LangChain.js integration. Entries below are named and attributable.
If you are running PromptPack, tell us and we will list you.
AltairaLabs
| Industry | AI development tools |
| Use case | Authoring and operating the PromptKit reference toolkit |
| Scale | Production use across testing, CI/CD and runtime workloads |
AltairaLabs created PromptPack and uses it for:
- Operating the PromptKit reference toolkit (runtime,
promptarena,packc) - Internal agent engineering workflows
- Testing agent behavior across providers
- The examples and documentation on this site
Reference implementation
PromptKit
A Go runtime plus npm-distributed CLIs for testing, validating and compiling packs.
- Full PromptPack v1.5.1 support — agent loops, workflows, compositions, multi-agent, skills, evals
- Provider integrations: Claude, OpenAI, Gemini, Azure, local models
promptarenatesting CLI andpackccompiler CLI- GitHub Actions for CI/CD
LangChain.js integration
@promptpack/langchain
loads packs directly into LangChain.js.
Worked examples
The examples in the specification are written to demonstrate the format — a support router, a code-review loop, a content pipeline, a tutor. They are illustrative, not case studies of deployments by third parties.
Getting listed
We are as interested in what the format got wrong as in an endorsement — the first is more useful to the RFC process.
What qualifies: production or substantial development use of the specification, and willingness to share enough implementation detail that the entry means something to a reader.
How: open a GitHub Discussion with your organization, use case and scale. We will follow up to confirm details before listing you.
Next
- Getting Started — build your first pack
- Specification Overview — what the format contains
- RFC Process — propose a change