langfuse-prompt-iterator

Test-driven prompt iteration with Langfuse involves pulling current prompts, fetching traces as reproducible test cases, running baseline tests, refining prompts iteratively, and pushing updates to staging. This Skill automates the entire workflow, guiding you through each step while maintaining version control and generating comparison reports.

Yes. This Skill automates prompt debugging and validation by using trace-based test cases and prompt caches to test refinements across environments. It orchestrates between prompt-viewer, prompt-iterator, and staging push steps, ensuring consistency before production deployment.

Run baseline tests against your current prompts, iterate with refinements, execute bulk tests to ensure consistency across iterations, then generate comparison reports. This Skill handles versioning and result tracking automatically, letting you validate changes systematically before pushing to production.

No. This Skill fetches existing traces from Langfuse and converts them into reproducible test cases automatically. You set up the test case once, then run baseline and bulk tests without manual recreation for each iteration.

Yes. This Skill is built on Langfuse, httpx, and OpenAI dependencies, supporting integrations with those tools natively. It handles HTTP requests and OpenAI API calls within the trace-based testing and prompt iteration workflow.

Prompt iteration requires existing traces in Langfuse to build test cases and baseline tests. Changes must be validated through staging before production push. The workflow is designed for iterative refinement, not one-off ad-hoc prompt testing.