How do I set up a robust CI/CD pipeline for testing prompt regressions and output quality before deploying updates to our production LLM service?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I set up a robust CI/CD pipeline for testing prompt regressions and output quality before deploying updates to our production LLM service?
3 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
OpenAI documentation evaluations graders datasets prompt engineering evals CI regression testing Google ↗
Promptfoo documentation CI/CD evals assertions thresholds GitHub Actions Google ↗
LangSmith evaluation documentation offline online evaluation CI Google ↗
- promptfoo/site/docs/integrations/ci-cd.md at main · promptfoo/promptfoo · github.com
- CI/CD Integration for LLM Eval and Security · promptfoo.dev
- Evaluation best practices · developers.openai.com
- openai-cookbook/examples/evaluation/Building_resilient_prompts_using_an_evaluation_flywheel.md at main · openai/openai-cookbook · github.com
- Official website · promptfoo.dev
- Documentation · promptfoo.dev
- Official website · langchain.com
- Documentation · docs.langchain.com
- Evaluation documentation · developers.openai.com
- Working with evals · developers.openai.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
OpenAI documentation evaluations graders datasets prompt engineering evals CI regression testing OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Promptfoo documentation CI/CD evals assertions thresholds GitHub Actions OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
LangSmith evaluation documentation offline online evaluation CI OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |