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- Config, docs, scripts, and backup manifests - Submodule refs unchanged (m = modified content in submodules) Made-with: Cursor
57xx AI/Agents deploy artifacts
Copy these files to the target VMs per the deployment task list.
VMID band: 5700–5999 (see VMID_ALLOCATION_FINAL.md).
Layout
| Path | Purpose |
|---|---|
| 5704-state/ | Postgres + Redis for VM 5704. Copy docker-compose.yml and .env.example → /opt/ai/state/, rename .env.example to .env, set POSTGRES_PASSWORD. |
| 5702-inference/ | llama.cpp server for VM 5702. Copy docker-compose.yml → /opt/ai/inference/. Put GGUF at /opt/ai/inference/data/models/model.gguf. |
| 5703-agent/ | Agent worker for VM 5703. Copy agent.py → /opt/ai/agent/config/, docker-compose.yml and .env.example → /opt/ai/agent/. Rename .env.example to .env, set MCP_URL, INF_URL, and optionally POOL_ADDRESS. |
5701 (MCP Hub) is the ai-mcp-pmm-controller submodule at repo root; see AI_AGENTS_57XX_DEPLOYMENT_TASKS.md Task 2.
Optional: copy to /opt/ai (run on target host with repo at /opt/proxmox)
REPO=/opt/proxmox
sudo mkdir -p /opt/ai/state/data/postgres /opt/ai/state/data/redis
sudo mkdir -p /opt/ai/inference/data/models /opt/ai/agent/config /opt/ai/agent/logs
sudo chown -R $USER:$USER /opt/ai
cp "$REPO/scripts/57xx-deploy/5704-state/docker-compose.yml" /opt/ai/state/
cp "$REPO/scripts/57xx-deploy/5704-state/.env.example" /opt/ai/state/.env
cp "$REPO/scripts/57xx-deploy/5702-inference/docker-compose.yml" /opt/ai/inference/
cp "$REPO/scripts/57xx-deploy/5703-agent/agent.py" /opt/ai/agent/config/
cp "$REPO/scripts/57xx-deploy/5703-agent/docker-compose.yml" /opt/ai/agent/
cp "$REPO/scripts/57xx-deploy/5703-agent/.env.example" /opt/ai/agent/.env
# Edit secrets and URLs:
# - /opt/ai/state/.env → POSTGRES_PASSWORD
# - /opt/ai/agent/.env → MCP_URL, INF_URL, POOL_ADDRESS (if used)
Then start each stack from its directory (see AI_AGENTS_57XX_DEPLOYMENT_TASKS.md).