
Back up AI prompts, LLM artifacts, and workflows
Preserve prompt versions, model references, retrieval inputs, and evaluation cases without confusing credentials with service credits.
Read the 6-minute guidePreserve the workflow behind the answer. Organize prompts, model references or permitted model files, retrieval sources, tool contracts, and evaluation cases into a release you can reconstruct.
1 complete guide in this collection. Start with the workflow that matches your information and its dependencies.
Start with one valuable task and write down its acceptance criteria. A prompt file alone may omit the model configuration, input format, source documents, or tools needed to perform that task. The Lab guide builds a recovery manifest and proposes a clean-environment test. The topic pages separate tokenizer artifacts, API credentials, and service usage records so they are not given the same handling rules. Use controlled test tools during restoration and document any replacement dependency. A restored workflow should be evaluated for useful behavior, not assumed to reproduce an old answer exactly.

Preserve prompt versions, model references, retrieval inputs, and evaluation cases without confusing credentials with service credits.
Read the 6-minute guide