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Copilot AI commented Dec 8, 2025

Provides production-ready infrastructure templates to deploy RAG7 LangGraph applications. Includes CI/CD automation, container orchestration manifests, workflow automation, and operational documentation.

CI/CD Workflows

  • ci.yml: Lint, test, build Docker images → GHCR
  • cd-staging.yml: Deploy to K8s staging using kubeconfig secret

Infrastructure

  • docker-compose.prod.yml: Multi-service stack (LangGraph, PostgreSQL, Redis, NGINX) with health checks and resource limits
  • k8s/: Complete manifests including HPA, StatefulSets for persistence, ConfigMaps/Secrets separation
  • .env.prod.example: Environment template with placeholder TODOs for secrets

Integration API

FastAPI service layer exposing:

  • /health, /ready - Liveness/readiness probes
  • /v1/graph/run - Graph execution with async HTTP client to LangGraph backend
# Example: Execute graph via integration API
curl -X POST http://localhost:8000/v1/graph/run \
  -H "Content-Type: application/json" \
  -d '{"query": "What is LangGraph?", "session_id": "user123"}'

n8n Workflows

  • main_orchestrator.json: Webhook-triggered real-time orchestration
  • langgraph_trigger.json: Scheduled batch processing with task queue integration
  • Includes credential templates and setup documentation

Documentation

  • deployment.md: Docker Compose and K8s deployment procedures
  • observability.md: Prometheus, Grafana, OpenTelemetry integration
  • runbook.md: Incident response procedures, common failure scenarios

Configuration Notes

All secrets use placeholder values (CHANGEME_*, TODO_REPLACE_*). Generate production values:

openssl rand -hex 32  # SECRET_KEY, API_KEY_SALT

K8s secrets must be created separately:

kubectl create secret generic langgraph-secrets \
  --from-literal=OPENAI_API_KEY=sk-xxx \
  --from-literal=POSTGRES_PASSWORD=xxx
Original prompt

Create a draft pull request on a new branch prod-templates that adds production-ready templates, CI/CD, infrastructure manifests, n8n workflows, an integration API skeleton, and documentation to the Stacey77/Rag7 repository. Target base branch: main.

Files to add (content should be templates/stubs with TODOs where secrets or project-specific values are required):

  1. CI and CD workflows
  • .github/workflows/ci.yml (tests, lint, build, push image to GHCR)
  • .github/workflows/cd-staging.yml (deploy to staging k8s using kubeconfig secret)
  1. Environment and Docker
  • .env.prod.example
  • docker-compose.prod.yml
  1. Kubernetes manifests
  • k8s/langgraph-deployment.yaml
  • k8s/hpa.yaml
  1. Documentation
  • docs/deployment.md
  • docs/observability.md
  • docs/runbook.md
  1. n8n sample workflows
  • n8n/workflows/main_orchestrator.json
  • n8n/workflows/langgraph_trigger.json
  • n8n/credentials/credentials_template.json
  • n8n/README.md
  1. Integration API skeleton
  • integration/api/Dockerfile
  • integration/api/server.py (FastAPI skeleton with /health, /ready, /v1/graph/run)
  • integration/api/requirements.txt
  1. Project metadata
  • requirements.txt
  • pyproject.toml

Additional requirements:

  • Update README.md with a short notice about new deployment templates (do not otherwise change existing content).
  • Leave the PR as a draft if any secrets placeholders remain.
  • Do not assign reviewers.
  • PR body must include motivation, list of files added, and next steps: update .env.prod, add GHCR token & kubeconfig secrets, import n8n workflows, run docker-compose or deploy to k8s.

Ensure files are syntactically valid and include basic working templates, health endpoints, and example curl commands in docs. Commit all files on branch prod-templates and open a draft PR titled: "chore: add production templates (CI/CD, Docker, K8s, n8n, LangGraph)" against main.

Do not modify files outside adding the notice to README.md. This PR prepares Rag7 to move from prototype to production; leave TODOs and placeholders where credentials or organization-specific values are required.

Success criteria:

  • Draft PR opened against main with all files added
  • Files syntactically valid (YAML/JSON/Python)
  • Docs provide clear next steps for configuration and deployment

This pull request was created as a result of the following prompt from Copilot chat.

Create a draft pull request on a new branch prod-templates that adds production-ready templates, CI/CD, infrastructure manifests, n8n workflows, an integration API skeleton, and documentation to the Stacey77/Rag7 repository. Target base branch: main.

Files to add (content should be templates/stubs with TODOs where secrets or project-specific values are required):

  1. CI and CD workflows
  • .github/workflows/ci.yml (tests, lint, build, push image to GHCR)
  • .github/workflows/cd-staging.yml (deploy to staging k8s using kubeconfig secret)
  1. Environment and Docker
  • .env.prod.example
  • docker-compose.prod.yml
  1. Kubernetes manifests
  • k8s/langgraph-deployment.yaml
  • k8s/hpa.yaml
  1. Documentation
  • docs/deployment.md
  • docs/observability.md
  • docs/runbook.md
  1. n8n sample workflows
  • n8n/workflows/main_orchestrator.json
  • n8n/workflows/langgraph_trigger.json
  • n8n/credentials/credentials_template.json
  • n8n/README.md
  1. Integration API skeleton
  • integration/api/Dockerfile
  • integration/api/server.py (FastAPI skeleton with /health, /ready, /v1/graph/run)
  • integration/api/requirements.txt
  1. Project metadata
  • requirements.txt
  • pyproject.toml

Additional requirements:

  • Update README.md with a short notice about new deployment templates (do not otherwise change existing content).
  • Leave the PR as a draft if any secrets placeholders remain.
  • Do not assign reviewers.
  • PR body must include motivation, list of files added, and next steps: update .env.prod, add GHCR token & kubeconfig secrets, import n8n workflows, run docker-compose or deploy to k8s.

Ensure files are syntactically valid and include basic working templates, health endpoints, and example curl commands in docs. Commit all files on branch prod-templates and open a draft PR titled: "chore: add production templates (CI/CD, Docker, K8s, n8n, LangGraph)" against main.

Do not modify files outside adding the notice to README.md. This PR prepares Rag7 to move from prototype to production; leave TODOs and placeholders where credentials or organization-specific values are required.

Success criteria:

  • Draft PR opened against main with all files added
  • Files syntactically valid (YAML/JSON/Python)
  • Docs provide clear next steps for configuration and deployment

💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.

Copilot AI and others added 2 commits December 8, 2025 01:59
Copilot AI changed the title [WIP] Add production-ready templates, CI/CD, and documentation Add production deployment templates (CI/CD, K8s, n8n workflows, integration API) Dec 8, 2025
Copilot AI requested a review from Stacey77 December 8, 2025 02:07
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2 participants