Replaced Ollama urls

Author: semicoloncolonel

.env.example

@@ -5,8 +5,8 @@
 # AI Configuration (Ollama - default)
 # =============================================================================
 
-# Ollama server URL (default: Carl AI VM on Azure)
-OLLAMA_HOST=http://20.98.70.48:11434
+# Ollama server URL (Bay Tides AI)
+OLLAMA_HOST=https://ollama.baytides.org
 
 # Ollama model to use (default: llama3.2)
 OLLAMA_MODEL=llama3.2

scripts/carl_batch_generation.sh scripts/batch_generation.shscripts/carl_batch_generation.sh renamed to scripts/batch_generation.sh

@@ -2,17 +2,17 @@
 set -euo pipefail
 
 # =============================================================================
-# Carl AI Batch Content Generation
+# Bay Tides AI Batch Content Generation
 # =============================================================================
 # Generates all missing content in batches with progress tracking.
 # Designed for long-running operation with recovery support.
 #
 # Usage:
-#   ./carl_batch_generation.sh [--analyses-only|--recommendations-only]
+#   ./batch_generation.sh [--analyses-only|--recommendations-only]
 #
 # Environment:
 #   DATABASE_URL       - Database path (default: civitas.db)
-#   OLLAMA_HOST        - Ollama server (default: http://localhost:11434)
+#   OLLAMA_HOST        - Ollama server (default: https://ollama.baytides.org)
 #   OLLAMA_MODEL       - Model to use (default: llama3.1:8b-instruct-q8_0)
 #   BATCH_SIZE         - Items per batch (default: 25)
 #   SLEEP_BETWEEN      - Seconds between batches (default: 5)
@@ -22,7 +22,7 @@ set -euo pipefail
 SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
 CIVITAS_ROOT="${SCRIPT_DIR}/.."
 PYTHON_BIN="${PYTHON_BIN:-/opt/civitas/.venv/bin/python}"
-LOG_FILE="${LOG_FILE:-/var/log/civitas/carl_batch.log}"
+LOG_FILE="${LOG_FILE:-/var/log/civitas/batch.log}"
 
 # Defaults
 BATCH_SIZE="${BATCH_SIZE:-25}"
@@ -73,7 +73,7 @@ print(f'{total},{analyzed},{with_recs}')
 }
 
 log "=============================================="
-log "Carl AI Batch Content Generation"
+log "Bay Tides AI Batch Content Generation"
 log "=============================================="
 log "Model: ${OLLAMA_MODEL}"
 log "Batch size: ${BATCH_SIZE}"

scripts/deploy_to_carl.sh scripts/deploy.shscripts/deploy_to_carl.sh renamed to scripts/deploy.sh

@@ -1,10 +1,10 @@
 #!/bin/bash
-# Civitas Deployment Script for Carl AI Server (20.98.70.48)
+# Civitas Deployment Script for Bay Tides Server
 # This script deploys the FastAPI backend and populates the database
 set -e
 
-CARL_HOST="20.98.70.48"
-CARL_USER="azureuser"
+DEPLOY_HOST="${DEPLOY_HOST:?Set DEPLOY_HOST to your server IP/hostname}"
+DEPLOY_USER="${DEPLOY_USER:-azureuser}"
 DEPLOY_DIR="/opt/civitas"
 CONGRESS_API_KEY="${CONGRESS_API_KEY:-}"
 
@@ -14,35 +14,35 @@ if [[ -z "${CONGRESS_API_KEY}" ]]; then
 fi
 
 echo "=========================================="
-echo "Civitas Deployment to Carl AI Server"
+echo "Civitas Deployment to Bay Tides Server"
 echo "=========================================="
 
 # Check SSH access
-echo "[1/8] Checking SSH access to Carl..."
-if ! ssh -o BatchMode=yes -o ConnectTimeout=5 ${CARL_USER}@${CARL_HOST} "echo 'SSH OK'" 2>/dev/null; then
-    echo "ERROR: Cannot SSH to ${CARL_USER}@${CARL_HOST}"
+echo "[1/8] Checking SSH access to server..."
+if ! ssh -o BatchMode=yes -o ConnectTimeout=5 ${DEPLOY_USER}@${DEPLOY_HOST} "echo 'SSH OK'" 2>/dev/null; then
+    echo "ERROR: Cannot SSH to ${DEPLOY_USER}@${DEPLOY_HOST}"
     echo "Make sure you have SSH key access configured"
     exit 1
 fi
 
-# Create deployment directory on Carl
-echo "[2/8] Creating deployment directory on Carl..."
-ssh ${CARL_USER}@${CARL_HOST} << 'REMOTE_SETUP'
+# Create deployment directory on server
+echo "[2/8] Creating deployment directory on server..."
+ssh ${DEPLOY_USER}@${DEPLOY_HOST} << 'REMOTE_SETUP'
 sudo mkdir -p /opt/civitas
 sudo chown $USER:$USER /opt/civitas
 mkdir -p /opt/civitas/{data,logs}
 REMOTE_SETUP
 
-# Sync codebase to Carl
-echo "[3/8] Syncing codebase to Carl..."
+# Sync codebase to server
+echo "[3/8] Syncing codebase to server..."
 rsync -avz --exclude '.git' --exclude '.venv' --exclude 'venv' --exclude '__pycache__' \
     --exclude 'node_modules' --exclude '.next' --exclude 'out' --exclude '*.db' \
     --exclude 'web' --exclude '.pytest_cache' --exclude '.ruff_cache' \
-    /Users/steven/Github/civitas/ ${CARL_USER}@${CARL_HOST}:${DEPLOY_DIR}/
+    /Users/steven/Github/civitas/ ${DEPLOY_USER}@${DEPLOY_HOST}:${DEPLOY_DIR}/
 
-# Install dependencies and set up on Carl
-echo "[4/8] Setting up Python environment on Carl..."
-ssh ${CARL_USER}@${CARL_HOST} << REMOTE_INSTALL
+# Install dependencies and set up on server
+echo "[4/8] Setting up Python environment on server..."
+ssh ${DEPLOY_USER}@${DEPLOY_HOST} << REMOTE_INSTALL
 set -e
 cd ${DEPLOY_DIR}
 
@@ -61,7 +61,7 @@ pip install -e ".[all]"
 # Create .env file
 cat > .env << 'ENV'
 CONGRESS_API_KEY=${CONGRESS_API_KEY}
-OLLAMA_HOST=http://localhost:11434
+OLLAMA_HOST=https://ollama.baytides.org
 OLLAMA_MODEL=llama3.2
 CIVITAS_AI_PROVIDER=ollama
 DATABASE_URL=sqlite:///civitas.db
@@ -72,7 +72,7 @@ REMOTE_INSTALL
 
 # Initialize database and ingest data
 echo "[5/8] Initializing database and ingesting data..."
-ssh ${CARL_USER}@${CARL_HOST} << 'REMOTE_INGEST'
+ssh ${DEPLOY_USER}@${DEPLOY_HOST} << 'REMOTE_INGEST'
 set -e
 cd /opt/civitas
 source .venv/bin/activate
@@ -110,7 +110,7 @@ REMOTE_INGEST
 
 # Set up systemd service
 echo "[6/8] Setting up systemd service..."
-ssh ${CARL_USER}@${CARL_HOST} << 'REMOTE_SERVICE'
+ssh ${DEPLOY_USER}@${DEPLOY_HOST} << 'REMOTE_SERVICE'
 sudo tee /etc/systemd/system/civitas-api.service > /dev/null << 'SERVICE'
 [Unit]
 Description=Civitas FastAPI Backend
@@ -137,7 +137,7 @@ REMOTE_SERVICE
 
 # Set up Nginx reverse proxy
 echo "[7/8] Configuring Nginx..."
-ssh ${CARL_USER}@${CARL_HOST} << 'REMOTE_NGINX'
+ssh ${DEPLOY_USER}@${DEPLOY_HOST} << 'REMOTE_NGINX'
 sudo tee /etc/nginx/sites-available/civitas > /dev/null << 'NGINX'
 server {
     listen 80;
@@ -169,7 +169,7 @@ REMOTE_NGINX
 
 # Verify deployment
 echo "[8/8] Verifying deployment..."
-ssh ${CARL_USER}@${CARL_HOST} << 'REMOTE_VERIFY'
+ssh ${DEPLOY_USER}@${DEPLOY_HOST} << 'REMOTE_VERIFY'
 echo "Checking services..."
 sudo systemctl status civitas-api --no-pager | head -10
 
@@ -189,8 +189,8 @@ echo "DEPLOYMENT COMPLETE!"
 echo "=========================================="
 echo ""
 echo "API Endpoints:"
-echo "  Health: http://${CARL_HOST}:8000/api/health"
-echo "  Docs:   http://${CARL_HOST}:8000/api/docs"
-echo "  API:    http://${CARL_HOST}:8000/api/v1/"
+echo "  Health: http://${DEPLOY_HOST}:8000/api/health"
+echo "  Docs:   http://${DEPLOY_HOST}:8000/api/docs"
+echo "  API:    http://${DEPLOY_HOST}:8000/api/v1/"
 echo ""
-echo "Next: Update frontend to use API at http://${CARL_HOST}:8000"
+echo "Next: Update frontend to use API at http://${DEPLOY_HOST}:8000"

scripts/download_internet_archive.py

@@ -8,7 +8,7 @@
 - Federal Register volumes
 
 All documents are uploaded to Azure Blob Storage and can optionally be
-sent to Carl (Ollama server) for AI analysis.
+sent to Ollama (via Bay Tides) for AI analysis.
 
 Usage:
     # Download everything
@@ -17,8 +17,8 @@
     # Download only US Reports
     python scripts/download_internet_archive.py --us-reports-only
 
-    # Download and immediately process with Carl
-    python scripts/download_internet_archive.py --process-with-carl
+    # Download and immediately process with AI
+    python scripts/download_internet_archive.py --process-with-ai
 
     # Dry run (list what would be downloaded)
     python scripts/download_internet_archive.py --dry-run
@@ -76,9 +76,9 @@ def main():
         help="Limit number of Federal Register volumes (default: 50)",
     )
     parser.add_argument(
-        "--process-with-carl",
+        "--process-with-ai",
         action="store_true",
-        help="Send downloaded documents to Carl for AI analysis",
+        help="Send downloaded documents to Bay Tides AI for analysis",
     )
     parser.add_argument(
         "--dry-run",
@@ -249,16 +249,16 @@ def main():
 
     console.print(table)
 
-    # Process with Carl if requested
-    if args.process_with_carl and downloaded_docs:
-        console.print("\n[bold blue]═══ Processing with Carl ═══[/bold blue]")
-        process_with_carl(downloaded_docs)
+    # Process with AI if requested
+    if args.process_with_ai and downloaded_docs:
+        console.print("\n[bold blue]═══ Processing with Bay Tides AI ═══[/bold blue]")
+        process_with_ai(downloaded_docs)
 
     client.close()
 
 
-def process_with_carl(documents):
-    """Send documents to Carl (Ollama) for AI analysis.
+def process_with_ai(documents):
+    """Send documents to Ollama (via Bay Tides) for AI analysis.
 
     This extracts key information like:
     - Case citations and holdings (for US Reports)
@@ -267,10 +267,10 @@ def process_with_carl(documents):
     """
     import os
 
-    ollama_host = os.getenv("OLLAMA_HOST", "http://20.98.70.48:11434")
+    ollama_host = os.getenv("OLLAMA_HOST", "https://ollama.baytides.org")
     ollama_model = os.getenv("OLLAMA_MODEL", "llama3.2")
 
-    console.print(f"Connecting to Carl at {ollama_host}...")
+    console.print(f"Connecting to Bay Tides AI at {ollama_host}...")
     console.print(f"Using model: {ollama_model}")
 
     try:
@@ -279,12 +279,12 @@ def process_with_carl(documents):
         # Test connection
         response = httpx.get(f"{ollama_host}/api/tags", timeout=10)
         if response.status_code != 200:
-            console.print("[red]Could not connect to Carl[/red]")
+            console.print("[red]Could not connect to Bay Tides AI[/red]")
             return
-        console.print("[green]Connected to Carl[/green]")
+        console.print("[green]Connected to Bay Tides AI[/green]")
 
     except Exception as e:
-        console.print(f"[red]Error connecting to Carl: {e}[/red]")
+        console.print(f"[red]Error connecting to Bay Tides AI: {e}[/red]")
         return
 
     # Process documents based on type
@@ -355,7 +355,7 @@ def process_with_carl(documents):
             prompt = f"""Analyze this legal document and provide a summary:
 {text_sample}"""
 
-        # Send to Carl
+        # Send to Bay Tides AI
         try:
             response = httpx.post(
                 f"{ollama_host}/api/generate",

scripts/extract_p2025_from_text.py

@@ -31,7 +31,7 @@
 
 
 # Ollama configuration
-OLLAMA_HOST = os.getenv("OLLAMA_HOST", "http://localhost:11434")
+OLLAMA_HOST = os.getenv("OLLAMA_HOST", "https://ollama.baytides.org")
 OLLAMA_MODEL = os.getenv("OLLAMA_MODEL", "llama3.1:8b-instruct-q8_0")
 
 

scripts/extract_p2025_policies.py

@@ -36,7 +36,7 @@
 
 
 # Ollama configuration
-OLLAMA_HOST = os.getenv("OLLAMA_HOST", "http://20.98.70.48:11434")
+OLLAMA_HOST = os.getenv("OLLAMA_HOST", "https://ollama.baytides.org")
 OLLAMA_MODEL = os.getenv("OLLAMA_MODEL", "llama3.1:8b-instruct-q8_0")
 
 

scripts/fix_data_gaps.py

@@ -4,7 +4,7 @@
 This script addresses the major discrepancies between vision and implementation:
 1. Fetch full text for Executive Orders
 2. Run P2025 tracker to match objectives to EOs
-3. Generate resistance recommendations via Carl
+3. Generate resistance recommendations via Bay Tides AI
 4. Populate legal challenges from real court data
 5. Populate state resistance actions
 6. Generate content insights
@@ -185,25 +185,25 @@ def run_p2025_matcher():
 
 
 def generate_recommendations(limit: int = 50):
-    """Generate resistance recommendations via Carl."""
+    """Generate resistance recommendations via Bay Tides AI."""
     from civitas.db.models import Project2025Policy, ResistanceRecommendation
     from civitas.resistance.recommender import ResistanceRecommender
 
     console.print("\n[bold blue]═══ Generating Resistance Recommendations ═══[/bold blue]\n")
 
-    # Check Carl connection
-    ollama_host = os.getenv("OLLAMA_HOST", "http://20.98.70.48:11434")
-    console.print(f"Using Carl at: {ollama_host}")
+    # Check AI connection
+    ollama_host = os.getenv("OLLAMA_HOST", "https://ollama.baytides.org")
+    console.print(f"Using Bay Tides AI at: {ollama_host}")
 
     try:
         import httpx
         resp = httpx.get(f"{ollama_host}/api/tags", timeout=10)
         if resp.status_code != 200:
-            console.print("[red]Cannot connect to Carl. Skipping recommendations.[/red]")
+            console.print("[red]Cannot connect to Bay Tides AI. Skipping recommendations.[/red]")
             return 0
-        console.print("[green]Carl connected[/green]")
+        console.print("[green]Bay Tides AI connected[/green]")
     except Exception as e:
-        console.print(f"[red]Cannot connect to Carl: {e}[/red]")
+        console.print(f"[red]Cannot connect to Bay Tides AI: {e}[/red]")
         return 0
 
     session = get_session()
@@ -508,17 +508,17 @@ def generate_content_insights(limit: int = 50):
 
     console.print("\n[bold blue]═══ Generating Content Insights ═══[/bold blue]\n")
 
-    # Check Carl connection
-    ollama_host = os.getenv("OLLAMA_HOST", "http://20.98.70.48:11434")
+    # Check AI connection
+    ollama_host = os.getenv("OLLAMA_HOST", "https://ollama.baytides.org")
 
     try:
         import httpx
         resp = httpx.get(f"{ollama_host}/api/tags", timeout=10)
         if resp.status_code != 200:
-            console.print("[red]Cannot connect to Carl. Skipping insights.[/red]")
+            console.print("[red]Cannot connect to Bay Tides AI. Skipping insights.[/red]")
             return 0
     except Exception as e:
-        console.print(f"[red]Cannot connect to Carl: {e}[/red]")
+        console.print(f"[red]Cannot connect to Bay Tides AI: {e}[/red]")
         return 0
 
     session = get_session()

scripts/generate_resistance_expert_content.sh

@@ -1,10 +1,10 @@
 #!/usr/bin/env bash
 set -euo pipefail
 
-# Generates expert-mode resistance content via Carl (Ollama).
+# Generates expert-mode resistance content via Ollama (Bay Tides).
 # Required env:
 #   DATABASE_URL (or pass --db)
-#   OLLAMA_HOST (Carl VM, e.g. http://20.98.70.48:11434)
+#   OLLAMA_HOST (e.g. https://ollama.baytides.org)
 # Optional env:
 #   OLLAMA_MODEL (default: llama3.2)
 #   ANALYZE_LIMIT (default: 100)

scripts/generate_scotus_profiles.sh

@@ -1,9 +1,9 @@
 #!/usr/bin/env bash
 set -euo pipefail
 
-# Generate SCOTUS justice profiles via Carl (Ollama).
+# Generate SCOTUS justice profiles via Ollama (Bay Tides).
 # Required env:
-#   OLLAMA_HOST (Carl VM, e.g. http://20.98.70.48:11434)
+#   OLLAMA_HOST (e.g. https://ollama.baytides.org)
 # Optional env:
 #   OLLAMA_MODEL (default: llama3.2)
 #   DATABASE_URL (or pass --db)

scripts/local_batch_generation.sh

@@ -16,9 +16,9 @@ cd "$CIVITAS_ROOT"
 source .venv/bin/activate
 
 # Configuration
-export OLLAMA_HOST="${OLLAMA_HOST:-http://localhost:11434}"
+export OLLAMA_HOST="${OLLAMA_HOST:-https://ollama.baytides.org}"
 export OLLAMA_MODEL="${OLLAMA_MODEL:-llama3.1:8b-instruct-q8_0}"
-DB_PATH="${DB_PATH:-civitas_carl.db}"
+DB_PATH="${DB_PATH:-civitas.db}"
 LOG_FILE="${LOG_FILE:-/tmp/civitas_local_batch.log}"
 BATCH_SIZE="${BATCH_SIZE:-25}"
 SLEEP_BETWEEN="${SLEEP_BETWEEN:-2}"
@@ -144,5 +144,5 @@ log "  With analyses: ${analyzed} ($(( analyzed * 100 / total ))%)"
 log "  With recommendations: ${with_recs} ($(( with_recs * 100 / total ))%)"
 log "=============================================="
 log ""
-log "To sync back to Carl:"
-log "  scp ${DB_PATH} carl:/opt/civitas/civitas.db"
+log "To deploy database:"
+log "  scp ${DB_PATH} server:/opt/civitas/civitas.db"