Add LLM configuration options and update deployment workflow

- Introduced new API keys for Anthropic and Google in .env.example and settings.py
- Updated llm.py to retrieve API keys directly from settings
- Modified deploy.yaml to streamline code checkout and improve deployment process

.env.example

@@ -10,18 +10,34 @@ JWT_ALGORITHM=HS256
 JWT_ACCESS_TOKEN_EXPIRE_MINUTES=30
 JWT_REFRESH_TOKEN_EXPIRE_DAYS=30
 
-# ── OpenAI ────────────────────────────────────────────────────────────────────
-OPENAI_API_KEY=sk-...
+# ── LLM ───────────────────────────────────────────────────────────────────────
+# LiteLLM model identifiers — change to swap providers without code changes.
+# Examples: gpt-4o, anthropic/claude-sonnet-4-20250514, gemini/gemini-pro, ollama/llama3
+OPENAI_API_KEY=
+ANTHROPIC_API_KEY=
+GOOGLE_API_KEY=
+LLM_MODEL=gpt-4o
+LLM_ROUTER_MODEL=gpt-4o-mini
 
-# ── Stripe ────────────────────────────────────────────────────────────────────
-STRIPE_SECRET_KEY=sk_test_...
-STRIPE_WEBHOOK_SECRET=whsec_...
+# ── Stripe (leave empty to stub billing) ──────────────────────────────────────
+STRIPE_SECRET_KEY=
+STRIPE_WEBHOOK_SECRET=
 
 # ── AWS / S3 ──────────────────────────────────────────────────────────────────
-S3_BUCKET=adiuva-backups
+S3_BUCKET=adiuva
 S3_REGION=us-east-1
-AWS_ACCESS_KEY_ID=AKIA...
-AWS_SECRET_ACCESS_KEY=...
+S3_ENDPOINT_URL=
+AWS_ACCESS_KEY_ID=
+AWS_SECRET_ACCESS_KEY=
+# For MinIO (homelab): S3_ENDPOINT_URL=http://minio:9000
+
+# ── Vector Store ──────────────────────────────────────────────────────────────
+# Pinecone is used when PINECONE_API_KEY is set; otherwise falls back to Qdrant.
+PINECONE_API_KEY=
+PINECONE_INDEX=adiuva
+QDRANT_URL=
+QDRANT_API_KEY=
+# For local Qdrant (homelab): QDRANT_URL=http://qdrant:6333
 
 # ── CORS ──────────────────────────────────────────────────────────────────────
 # Comma-separated list parsed by Settings (override default if needed)

.gitea/workflows/deploy.yaml

@@ -3,10 +3,8 @@ run-name: ${{ gitea.ref_name }} → Docker LXC
 
 on:
   push:
-    branches: [main]
-    tags: ['v*']
-  pull_request:
-    branches: [main]
+    tags:
+      - 'v*'
 
 jobs:
   # ── 1. Run tests in an isolated Python container ──────────────────
@@ -16,8 +14,15 @@ jobs:
       image: python:3.12-slim
 
     steps:
+      - name: Install git
+        run: apt-get update && apt-get install -y --no-install-recommends git
+
       - name: Checkout Code
-        uses: actions/checkout@v4
+        run: |
+          git clone --depth 1 --branch "${GITHUB_REF_NAME}" \
+            "http://10.0.0.119:3000/${GITHUB_REPOSITORY}.git" . || \
+          git clone --depth 1 "http://10.0.0.119:3000/${GITHUB_REPOSITORY}.git" . && \
+          git checkout "${GITHUB_SHA}"
 
       - name: Install Dependencies
         run: pip install --no-cache-dir -r requirements.txt
@@ -36,15 +41,21 @@ jobs:
 
     steps:
       - name: Checkout Code
-        uses: actions/checkout@v4
+        run: |
+          cd /tmp
+          rm -rf adiuva-api-deploy
+          git clone --depth 1 "http://10.0.0.119:3000/${GITHUB_REPOSITORY}.git" adiuva-api-deploy || \
+          git clone --depth 1 "http://10.0.0.119:3000/${GITHUB_REPOSITORY}.git" adiuva-api-deploy
+          cd adiuva-api-deploy && git checkout "${GITHUB_SHA}" 2>/dev/null || true
 
       - name: Sync to deploy directory
         run: |
           DEPLOY_DIR="/opt/adiuva-api"
+          SRC="/tmp/adiuva-api-deploy"
           mkdir -p "$DEPLOY_DIR"
 
           # Sync source, preserve .env and volumes
-          cp -rf app/ alembic/ alembic.ini Dockerfile docker-compose.yml requirements.txt "$DEPLOY_DIR/"
+          cp -rf "$SRC/app/" "$SRC/alembic/" "$SRC/alembic.ini" "$SRC/Dockerfile" "$SRC/docker-compose.yml" "$SRC/requirements.txt" "$DEPLOY_DIR/"
 
       - name: Build & restart services
         run: |

app/config/settings.py

@@ -24,6 +24,8 @@ class Settings(BaseSettings):
     QDRANT_API_KEY: str = ""
 
     OPENAI_API_KEY: str = ""
+    ANTHROPIC_API_KEY: str = ""
+    GOOGLE_API_KEY: str = ""
 
     LLM_MODEL: str = "gpt-4o"
     LLM_ROUTER_MODEL: str = "gpt-4o-mini"

app/core/llm.py

@@ -26,9 +26,9 @@ from app.config.settings import settings
 def _api_key_for_model(model: str) -> str | None:
     """Return the most appropriate API key for the given LiteLLM model string."""
     if model.startswith("anthropic/"):
-        return getattr(settings, "ANTHROPIC_API_KEY", None) or None
+        return settings.ANTHROPIC_API_KEY or None
     if model.startswith("gemini/") or model.startswith("google/"):
-        return getattr(settings, "GOOGLE_API_KEY", None) or None
+        return settings.GOOGLE_API_KEY or None
     # Default: OpenAI-compatible (covers plain model names like "gpt-4o")
     return settings.OPENAI_API_KEY or None