chore: import upstream snapshot with attribution
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---
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sidebar_label: CircleCI
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description: Automate LLM testing in CircleCI pipelines with promptfoo. Configure caching, API keys, and evaluation workflows to validate prompts and models in CI/CD environments.
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---
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# Setting up Promptfoo with CircleCI
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This guide shows how to integrate promptfoo's LLM evaluation into your CircleCI pipeline. This allows you to automatically test your prompts and models whenever changes are made to your repository.
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## Prerequisites
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- A CircleCI account connected to your repository
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- Your LLM provider's API keys (e.g., OpenAI API key)
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- Basic familiarity with CircleCI configuration
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## Configuration Steps
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### 1. Create CircleCI Configuration
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Create a `.circleci/config.yml` file in your repository. Here's a basic configuration that installs promptfoo and runs evaluations:
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```yaml
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version: 2.1
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jobs:
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evaluate_prompts:
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docker:
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- image: cimg/node:lts
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steps:
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- checkout
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- restore_cache:
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keys:
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- promptfoo-cache-v1-{{ .Branch }}-{{ checksum "prompts/**/*" }}
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- promptfoo-cache-v1-{{ .Branch }}
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- promptfoo-cache-v1-
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- run:
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name: Install promptfoo
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command: npm install -g promptfoo
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- run:
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name: Run prompt evaluation
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command: promptfoo eval -c promptfooconfig.yaml --prompts prompts/**/*.json --share -o output.json
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environment:
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OPENAI_API_KEY: ${OPENAI_API_KEY}
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PROMPTFOO_CACHE_PATH: ~/.promptfoo/cache
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- save_cache:
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key: promptfoo-cache-v1-{{ .Branch }}-{{ checksum "prompts/**/*" }}
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paths:
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- ~/.promptfoo/cache
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- store_artifacts:
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path: output.json
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destination: evaluation-results
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workflows:
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version: 2
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evaluate:
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jobs:
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- evaluate_prompts:
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filters:
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paths:
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- prompts/**/*
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```
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### 2. Set Up Environment Variables
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1. Go to your project settings in CircleCI
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2. Navigate to Environment Variables
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3. Add your LLM provider's API keys:
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- e.g. Add `OPENAI_API_KEY` if you're using OpenAI
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### 3. Configure Caching (Optional but Recommended)
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The configuration above includes caching to save time and API costs. The cache:
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- Stores LLM API responses
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- Is keyed by branch and content hash
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- Is saved in `~/.promptfoo/cache`
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### 4. Storing Results
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The configuration stores the evaluation results as artifacts:
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- Results are saved to `output.json`
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- CircleCI makes these available in the Artifacts tab
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- The `--share` flag creates a shareable web URL for results
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## Advanced Configuration
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### Adding Custom Test Steps
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You can add custom steps to process the evaluation results:
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```yaml
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- run:
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name: Check evaluation results
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command: |
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if jq -e '.results.stats.failures > 0' output.json; then
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echo "Evaluation had failures"
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exit 1
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fi
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```
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### Parallel Evaluation
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For large test suites, you can parallelize evaluations:
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```yaml
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jobs:
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evaluate_prompts:
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parallelism: 3
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steps:
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- run:
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name: Split tests
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command: |
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prompts=$(find prompts -name "*.json" | circleci tests split)
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promptfoo eval -c promptfooconfig.yaml --prompts $prompts
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```
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## Example Output
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After the evaluation runs, you'll see:
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- Test results in the CircleCI UI
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- Artifacts containing the full evaluation data
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- A shareable link to view results in the promptfoo web viewer
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- Any test failures will cause the CircleCI job to fail
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## Troubleshooting
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Common issues and solutions:
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1. **Cache not working:**
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- Verify the cache key matches your configuration
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- Check that the cache path exists
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- Ensure file permissions are correct
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2. **API key errors:**
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- Confirm environment variables are set in CircleCI
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- Check for typos in variable names
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- Verify API key permissions
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3. **Evaluation timeout:**
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- Adjust the `no_output_timeout` setting in your job
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- Consider splitting tests into smaller batches
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For more details on promptfoo configuration, see the [configuration reference](/docs/configuration/reference).
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