template.env

# --- LLM (OpenAI-compatible, e.g. Llama Stack) — both pods ---
API_KEY=
# Must include /v1 for chat completions
BASE_URL=https://your-llama-stack.example.com/v1
MODEL_ID=your-model-id

# --- Local dev: A2A ports & URLs (9100 / 9200) ---
CREW_A2A_PUBLIC_URL=http://127.0.0.1:9100
LANGGRAPH_A2A_PUBLIC_URL=http://127.0.0.1:9200
CREW_A2A_URL=http://127.0.0.1:9100
CREW_A2A_PORT=9100
LANGGRAPH_A2A_PORT=9200

# --- OpenShift: `make deploy` (Helm) sets CREW_A2A_PUBLIC_URL / LANGGRAPH_A2A_PUBLIC_URL from Routes ---
# (optional) only if you patch Routes manually — not required for make deploy

# --- Container build / push (`make build` then `make push`) ---
#
# Option A — one registry path; `make build` tags :crew and :langgraph (same image); `make push` uploads both:
CONTAINER_IMAGE=quay.io/your-org/a2a-langgraph-crewai:latest
#
# Option B — two separate repos (each can use :latest). Comment out CONTAINER_IMAGE, uncomment:
# CONTAINER_IMAGE_CREW=quay.io/your-org/a2a-crewai:latest
# CONTAINER_IMAGE_LANGGRAPH=quay.io/your-org/a2a-langgraph:latest
#
# Option C — one repo, you choose both tags explicitly. Comment out CONTAINER_IMAGE, uncomment:
# CONTAINER_IMAGE_CREW=quay.io/your-org/stack:crew
# CONTAINER_IMAGE_LANGGRAPH=quay.io/your-org/stack:langgraph