promptfoo--promptfoo/site/docs/integrations/looper.md

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Looper	Automate LLM testing in CI/CD by integrating Promptfoo with Looper workflows. Configure quality gates, caching, and multi-environment evaluations for production AI pipelines.

Setting up Promptfoo with Looper

This guide shows you how to integrate Promptfoo evaluations into a Looper CI/CD workflow so that every pull‑request (and optional nightly job) automatically runs your prompt tests.

Prerequisites

• A working Looperinstallation with workflow execution enabled
• A build image (or declared tools) that provides Node 22+ and jq 1.6+
• promptfooconfig.yaml and your prompt fixtures (prompts/**/*.json) committed to the repository

Create .looper.yml

Add the following file to the root of your repo:

language: workflow # optional but common

tools:
  nodejs: 22 # Looper provisions Node.js
  jq: 1.7

envs:
  global:
    variables:
      PROMPTFOO_CACHE_PATH: '${HOME}/.promptfoo/cache'

triggers:
  - pr # run on every pull‑request
  - manual: 'Nightly Prompt Tests' # manual button in UI
    call: nightly # invokes the nightly flow below

flows:
  # ---------- default PR flow ----------
  default:
    - (name Install Promptfoo) npm install -g promptfoo

    - (name Evaluate Prompts) |
      promptfoo eval \
      -c promptfooconfig.yaml \
      --prompts "prompts/**/*.json" \
      --share \
      -o output.json

    - (name Quality gate) |
      SUCC=$(jq -r '.results.stats.successes' output.json)
      FAIL=$(jq -r '.results.stats.failures' output.json)
      echo "✅ $SUCC  ❌ $FAIL"
      test "$FAIL" -eq 0 # non‑zero exit fails the build

  # ---------- nightly scheduled flow ----------
  nightly:
    - call: default # reuse the logic above
    - (name Upload artefacts) |
      aws s3 cp output.json s3://your-bucket/promptfoo/output.json

How it works

Section	Purpose
tools	Declares tool versions Looper should provision.
envs.global.variables	Environment variables available to every step.
triggers	Determines when the workflow runs (pr, manual, cron, etc.).
flows	Ordered shell commands; execution stops on the first non‑zero exit.

Caching Promptfoo results

Looper lacks a first‑class cache API. Two common approaches:

1. Persistent volume – mount ${HOME}/.promptfoo/cache on a reusable volume.
2. Persistence tasks – pull/push the cache at the start and end of the flow:

Setting quality thresholds

    - (name Pass‑rate gate) |
        TOTAL=$(jq '.results.stats.successes + .results.stats.failures' output.json)
        PASS=$(jq '.results.stats.successes' output.json)
        RATE=$(echo "scale=2; 100*$PASS/$TOTAL" | bc)
        echo "Pass rate: $RATE%"
        test $(echo "$RATE >= 95" | bc) -eq 1   # fail if <95 %

Multi‑environment evaluations

Evaluate both staging and production configs and compare failures:

flows:
  compare-envs:
    - (name Eval‑prod) |
      promptfoo eval \
      -c promptfooconfig.prod.yaml \
      --prompts "prompts/**/*.json" \
      -o output-prod.json

    - (name Eval‑staging) |
      promptfoo eval \
      -c promptfooconfig.staging.yaml \
      --prompts "prompts/**/*.json" \
      -o output-staging.json

    - (name Compare) |
      PROD_FAIL=$(jq '.results.stats.failures' output-prod.json)
      STAGE_FAIL=$(jq '.results.stats.failures' output-staging.json)
      if [ "$STAGE_FAIL" -gt "$PROD_FAIL" ]; then
      echo "⚠️  Staging has more failures than production!"
      fi

Posting evaluation results to GitHub/GitLab

In order to send evaluation results elsewhere, use:

• GitHub task

  - github --add-comment \
    --repository "$CI_REPOSITORY" \
    --issue "$PR_NUMBER" \
    --body "$(cat comment.md)" # set comment as appropriate
  

• cURL with a Personal Access Token (PAT) against the REST API.

Troubleshooting

Problem	Remedy
npm: command not found	Add nodejs: under tools or use an image with Node pre‑installed.
Cache not restored	Verify the path and that the files pull task succeeds.
Long‑running jobs	Split prompt sets into separate flows or raise timeoutMillis in the build definition.
API rate limits	Enable Promptfoo cache and/or rotate API keys.

Best practices

1. Incremental testing – feed looper diff --name-only prompts/ into promptfoo eval to test only changed prompts.
2. Semantic version tags – tag prompt sets/configs so you can roll back easily.
3. Secret management – store API keys in a secret store and inject them as environment variables.
4. Reusable library flows – if multiple repos need the same evaluation, host the flow definition in a central repo and import it.