Individual skill
experiments
Create and run LangWatch experiments for pre-deployment batch testing. Use when the user wants to test an agent against a dataset, compare prompts or models, benchmark quality, detect regressions, or add a CI quality gate. Do not use for production monitoring or guardrails.
services/langyagent/internal/assets/skills/experiments/SKILL.md
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- ai Repository topic
- analytics Repository topic
- datasets Repository topic
- evaluation Repository topic
- gpt Repository topic
- llm Repository topic
- observability Repository topic
- openai Repository topic
- prompt-engineering Repository topic
- dspy Repository topic
- testing Derived category
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# Run Experiments for Your Agent
Experiments are pre-deployment batch tests. They run an application over a dataset and compare outputs with reusable evaluators. They are appropriate for prompt and model comparisons, regression tests, benchmarks, and CI quality gates.
## Hand Off Production Evaluation Requests
If the user wants to score live traces or threads, monitor production quality, or block unsafe traffic, this is the wrong workflow.
1. If the `online-evaluations` skill is available, load it and follow it now.
2. Otherwise, tell the user to install it with:
```bash
npx skills@1.5.19 add langwatch/skills/online-evaluations
```