rdev/cookbooks/trees/genkit-test.yaml
jordan 62a9bbb237
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fix: resolve 7 root causes causing cookbook deployment failures
RC-1: Gitea org fallback already removed (no-op, confirmed)
RC-3: Push/pull now explicitly target origin main (HEAD:main) in both
  pod_git_operations.go and claudebox/git.go — fixes Woodpecker webhook
  trigger by ensuring pushes always land on the main branch
RC-4: wait_for_pipeline records baseline pipeline number before polling;
  only returns success when a NEWER pipeline completes — prevents false
  positive when a prior pipeline was already success
RC-5: Redis WRONGPASS fixed on live persona-community-5 instance; platform
  gap noted (no reprovision endpoint for Redis ACL drift)
RC-6: Removed on_error:continue from all infra provisioning steps (add-db,
  add-redis) across persona-community, slackpath-2/3/4/5 trees — infra
  failures now fail the tree instead of silently continuing to a crash
RC-7: Added .pnpm-store/ to skeleton .gitignore — prevents thousands of
  cache files being committed by agents after pnpm install
RC-2: Updated all 12 cookbook trees — git_clone_url jordan/ → threesix/
  (24 occurrences across all slackpath, aeries, full-stack, genkit trees)
Also: strings.Cut and strings.SplitSeq lint fixes in pod_git_operations.go
  and claudebox/git.go

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-24 18:49:09 -07:00

209 lines
6.4 KiB
YAML

name: genkit-test
description: "Validate AI generation packages with a chat UI and API backend"
version: 1
vars:
project_name: ""
service_name: "ai-gateway"
app_name: "chat-ui"
feature_slug: "ai-chat"
steps:
# --- Infrastructure ---
create-project:
action: api
method: POST
endpoint: /project
body:
name: "{{ .vars.project_name }}"
description: "Genkit validation: AI chat with text and image generation"
outputs:
- project_id: .data.name
- domain: .data.domain
add-service:
description: Add AI gateway service
depends_on: [create-project]
action: api
method: POST
endpoint: "/projects/{{ .outputs.create-project.project_id }}/components"
body:
type: service
name: "{{ .vars.service_name }}"
add-ui:
description: Add React chat UI
depends_on: [create-project]
action: api
method: POST
endpoint: "/projects/{{ .outputs.create-project.project_id }}/components"
body:
type: app-react
name: "{{ .vars.app_name }}"
wait-init:
depends_on: [add-service, add-ui]
action: wait_pipeline
project_id: "{{ .outputs.create-project.project_id }}"
max_attempts: 120
poll_interval: 5
# --- SDLC: Build AI Endpoints ---
create-feature:
depends_on: [wait-init]
action: api
method: POST
endpoint: "/projects/{{ .outputs.create-project.project_id }}/sdlc/features"
body:
slug: "{{ .vars.feature_slug }}"
title: "AI Generation Endpoints"
implement-ai:
description: "Agent implements text and image generation endpoints"
depends_on: [create-feature]
action: api
method: POST
endpoint: "/projects/{{ .outputs.create-project.project_id }}/builds"
body:
prompt: |
/implement-feature {{ .vars.feature_slug }} --requirements '
Use pkg/textgen and pkg/mediagen to create AI generation endpoints.
Environment variables available: LAOZHANG_API_KEY, GEMINI_API_KEY
Endpoints to implement:
1. GET /health/providers - Check AI provider connectivity
- Initialize textgen.Manager with ProductionConfig
- Return provider names and health status
2. POST /chat - Text generation
Request: {"message": "string", "system_prompt": "string (optional)"}
- Use textgen.Manager.GenerateText()
- Return: {"response": "string", "provider": "string"}
3. POST /generate-image - Image generation
Request: {"prompt": "string"}
- Use mediagen.Manager.GenerateImage()
- Return: {"image_base64": "string", "provider": "string"}
Use ProductionConfig for both managers (LaoZhang primary, Gemini fallback).
Handle errors gracefully with proper HTTP status codes.
'
auto_commit: true
auto_push: true
git_clone_url: "https://git.threesix.ai/threesix/{{ .outputs.create-project.project_id }}.git"
outputs:
- build_id: .data.task_id
wait-build:
description: Wait for agent code generation
depends_on: [implement-ai]
action: wait_build
build_id: "{{ .outputs.implement-ai.build_id }}"
max_attempts: 120
poll_interval: 5
wait-deploy:
depends_on: [wait-build]
action: wait_pipeline
project_id: "{{ .outputs.create-project.project_id }}"
max_attempts: 120
poll_interval: 5
# --- Verification ---
verify-service-health:
description: "Verify the AI service is running"
depends_on: [wait-deploy]
action: shell
command: |
DOMAIN="{{ .outputs.create-project.domain }}"
SERVICE_NAME="{{ .vars.service_name }}"
HEALTH=$(curl -s "https://$DOMAIN/api/$SERVICE_NAME/health" | jq -r '.data.status // .status // empty')
if [ "$HEALTH" == "healthy" ] || [ "$HEALTH" == "ok" ]; then
echo "Service healthy"
exit 0
else
echo "Service not healthy: $HEALTH"
curl -s "https://$DOMAIN/api/$SERVICE_NAME/health" | jq .
exit 1
fi
verify-provider-health:
description: "Verify AI providers are accessible"
depends_on: [verify-service-health]
on_error: continue
action: shell
command: |
DOMAIN="{{ .outputs.create-project.domain }}"
SERVICE_NAME="{{ .vars.service_name }}"
echo "Checking provider health..."
RESP=$(curl -s "https://$DOMAIN/api/$SERVICE_NAME/health/providers")
echo "$RESP" | jq .
# Check if we got any provider info (success even if some providers are down)
if echo "$RESP" | jq -e '.data // .providers // .' > /dev/null 2>&1; then
echo "Provider health endpoint working"
exit 0
else
echo "Provider health check failed"
exit 1
fi
verify-text-generation:
description: "Test text generation endpoint"
depends_on: [verify-provider-health]
on_error: continue
action: shell
command: |
DOMAIN="{{ .outputs.create-project.domain }}"
SERVICE_NAME="{{ .vars.service_name }}"
echo "Testing text generation..."
RESP=$(curl -s -X POST "https://$DOMAIN/api/$SERVICE_NAME/chat" \
-H "Content-Type: application/json" \
-d '{"message": "What is 2+2? Reply with just the number."}')
echo "$RESP" | jq .
# Check if we got a response
RESPONSE=$(echo "$RESP" | jq -r '.response // .data.response // .text // empty')
if [ -n "$RESPONSE" ]; then
echo "Text generation working: $RESPONSE"
exit 0
else
echo "Text generation failed"
exit 1
fi
verify-image-generation:
description: "Test image generation endpoint"
depends_on: [verify-text-generation]
on_error: continue
action: shell
command: |
DOMAIN="{{ .outputs.create-project.domain }}"
SERVICE_NAME="{{ .vars.service_name }}"
echo "Testing image generation..."
RESP=$(curl -s -X POST "https://$DOMAIN/api/$SERVICE_NAME/generate-image" \
-H "Content-Type: application/json" \
-d '{"prompt": "a simple red circle on white background"}')
# Check if we got base64 image data
IMAGE=$(echo "$RESP" | jq -r '.image_base64 // .data.image_base64 // .image // empty')
if [ -n "$IMAGE" ] && [ ${#IMAGE} -gt 100 ]; then
echo "Image generation working (got ${#IMAGE} chars of base64)"
exit 0
else
echo "Image generation failed or returned empty"
echo "$RESP" | jq .
exit 1
fi
teardown:
- action: api
method: DELETE
endpoint: "/project/{{ .outputs.create-project.project_id }}"