Prompt CI/CD Pipeline

A Prompt CI/CD Pipeline is a CI/CD pipeline that automates prompt template testing, validation, and deployment across development environments.

• AKA: Prompt Pipeline, Template CI/CD, Prompt Deployment Pipeline, PromptOps Pipeline, Automated Prompt Pipeline.
• Context:
  • It can typically implement Continuous Integration through automated builds, syntax checks, and unit tests on code commits.
  • It can typically execute Continuous Delivery through automated packaging, environment promotion, and release preparation.
  • It can often perform Automated Validation including schema checks, regression tests, and performance benchmarks.
  • It can often support Multi-Stage Pipelines with development stages, staging stages, and production stages.
  • It can enable Rollback Capability through version tagging, deployment history, and quick reversion.
  • It can integrate Security Scanning for vulnerability detection, secret scanning, and compliance checks.
  • It can facilitate A/B Testing through parallel deployments, traffic splitting, and metric collection.
  • It can provide Monitoring Integration with log aggregation, metric tracking, and alert systems.
  • It can support Approval Workflows with manual gates, review processes, and sign-off requirements.
  • It can range from being a Simple Prompt CI/CD Pipeline to being a Complex Prompt CI/CD Pipeline, depending on its stage complexity.
  • It can range from being a Push-Based Prompt CI/CD Pipeline to being a Pull-Based Prompt CI/CD Pipeline, depending on its trigger mechanism.
  • It can range from being a Sequential Prompt CI/CD Pipeline to being a Parallel Prompt CI/CD Pipeline, depending on its execution model.
  • It can range from being a Cloud-Native Prompt CI/CD Pipeline to being a Self-Hosted Prompt CI/CD Pipeline, depending on its infrastructure.
  • ...
• Examples:
  • Pipeline Implementations, such as:
    • GitHub Actions Pipeline with workflow files.
    • Jenkins Pipeline with Jenkinsfile configuration.
    • GitLab CI Pipeline with .gitlab-ci.yml.
    • Azure DevOps Pipeline with azure-pipelines.yml.
  • Pipeline Stages, such as:
    • Build Stage, such as:
      • Template Compilation for syntax validation.
      • Dependency Resolution for package installation.
      • Asset Bundling for resource packaging.
    • Test Stage, such as:
      • Unit Test Execution for template functions.
      • Integration Test Run for system interactions.
      • Performance Test Suite for benchmark validation.
  • Deployment Patterns, such as:
    • Blue-Green Deployment for zero-downtime release.
    • Canary Deployment for gradual rollout.
    • Rolling Deployment for incremental update.
  • Tool Integrations, such as:
    • LangSmith Integration for prompt testing.
    • Prometheus Monitoring for metric collection.
    • Slack Notification for status updates.
  • ...
• Counter-Examples:
  • Manual Deployment Process, which requires human intervention for each deployment step.
  • Ad-Hoc Release, which lacks structured pipeline and automation.
  • Local Development Only, which doesn't include deployment automation.
  • Unversioned Deployment, which lacks tracking and rollback capability.
• See: Prompt-as-Code Framework, Prompt Template Validation Task, Prompt Version Control System, Prompt Runtime Configuration System, CI/CD Pipeline, DevOps Framework, Continuous Integration, Continuous Delivery, LLM DevOps Framework.

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