Efficient Cue Word Workflow
Langfuse improves the efficiency of cue word development with a version control system and experimentation tools:
- Centralized storage: Creation of templates in the Prompts interface (with support for variable interpolation), e.g. role definition for customer service scenarios
- Intelligent Comparison: The system automatically generates a new version after modifying the cue words, tests the old and new versions in parallel on the dataset (A/B testing), and automatically counts the response time/scoring differences.
- Teamwork: Implemented through Project Rights Management (Enterprise Edition required):
- Product Manager: Editing Business Side Tip Templates
- Algorithm Engineer: Binding Test Datasets
- Operation and maintenance: monitoring the stability of the production environment version
Advanced Tip: Combine with GitOps process to link cue word changes with CI/CD pipeline to automatically rollback versions when accuracy drops above a threshold. Self-hosted users need to configure PostgreSQL in docker-compose.yml to ensure version history is not lost.
This answer comes from the articleLangfuse: an open source LLM application observation and debugging platformThe
May not be reproduced without permission:AI productivity tools " How to optimize LLM cue word iteration efficiency and enable collaborative team management?
