Prompteams is an AI prompt management system for teams, designed to help teams manage, test, and deploy AI prompts. Its core features include prompt version control, prompt management, building CI/CD pipelines for prompts, and automatically generating APIs for integration with team workflows.
Key capabilities:
- Prompt version control and management: It uses a Git-like mechanism, supporting repositories, branches, and commits. Each project can create a repository and create multiple branches to iterate on prompts. Changes can be committed, tested in isolated environments, and easily rolled back to previous versions.
- Test suites: It supports creating and running unlimited test cases to check for issues such as hallucinations and edge cases. Test cases can be added and success criteria can be set, such as "starts with X," "does not start with X," "length greater than X," and so on.
- Multi-environment support: Different environments are managed through branches, making it easy for teams to test and release prompts in different environments.
- Real-time API: Each prompt in each environment has a real-time API, which can be updated and take effect with one click, without changing code.
- Automatically generated API: Automatically generate APIs to retrieve prompts, making it easy to integrate into existing workflows.
- CI/CD pipelines: Build CI/CD pipelines for AI prompts to automatically run end-to-end LLM tests before deploying updates to the production environment.
How to use: Users can create an account, form a team, and invite members via invitation codes. Industry experts and engineers can collaborate on the same platform, and industry experts can test and iterate on prompts without programming knowledge.
Use cases: Suitable for scenarios that require team collaboration to develop, test, version-control, and deploy AI prompts, and especially suitable for teams that want to make prompt engineering process-driven, automated, and integrated into existing development workflows.
Limitations: The materials do not provide detailed information about platform compatibility, specific technology stacks, supported LLM providers, and so on.
