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-# ClawLama — TODO.AI.md
-
-## Phase 1: Core Container (MVP)
-
-### 1.1 Dockerfile
-- [ ] Create multi-stage Dockerfile with `debian:bookworm-slim` base
-- [ ] Stage 1 (builder): Install Node.js LTS via NodeSource `node_lts.x` apt repo with GPG key
-- [ ] Stage 1 (builder): Download latest Ollama binary from GitHub releases (`/releases/latest/download/ollama-linux-${TARGETARCH}`)
-- [ ] Stage 1 (builder): Install OpenClaw via `npm install -g openclaw@latest`
-- [ ] Stage 2 (runtime): Install Node.js LTS runtime (same repo method)
-- [ ] Stage 2 (runtime): Install `tini`, `procps`, `gettext-base`, `curl`
-- [ ] Stage 2 (runtime): Copy Ollama binary from builder
-- [ ] Stage 2 (runtime): Copy OpenClaw global npm install from builder
-- [ ] Stage 2 (runtime): Copy `rootfs/` overlay
-- [ ] Stage 2 (runtime): Create `clawlama` user/group, `/data/ollama`, `/data/workspace` dirs
-- [ ] Stage 2 (runtime): `chmod -R a-w /etc` for hard `/etc` write protection
-- [ ] Stage 2 (runtime): Set ENV defaults (all `CLAWLAMA_*` and `OLLAMA_*` vars)
-- [ ] Stage 2 (runtime): `VOLUME ["/data"]`, `EXPOSE 18789`
-- [ ] Stage 2 (runtime): `HEALTHCHECK` pointing to `/usr/local/bin/healthcheck.sh`
-- [ ] Stage 2 (runtime): `ENTRYPOINT ["tini", "--"]` + `CMD ["/usr/local/bin/entrypoint.sh"]`
-- [ ] Verify no `curl | sh` or `curl | bash` anywhere in Dockerfile
-
-### 1.2 OpenClaw Config Template
-- [ ] Create `rootfs/etc/clawlama/openclaw.template.json` with `envsubst` placeholders
-- [ ] Include `models.providers.ollama` block with `baseUrl`, `apiKey: "ollama-local"`, `api: "openai-completions"`
-- [ ] Include model entry with `${CLAWLAMA_MODEL}`, `${CLAWLAMA_CONTEXT_WINDOW}`, `${CLAWLAMA_MAX_TOKENS}`
-- [ ] Include `agents.defaults` with `workspace: "/data/workspace"`, concurrency settings
-- [ ] Include `tools` block: `profile: "full"`, `exec.security: "full"`, `exec.ask: "off"`, `elevated.enabled: false`
-- [ ] Include `exec.applyPatch.workspaceOnly: true`, `fs.workspaceOnly: false`
-
-### 1.3 TOOLS.md
-- [ ] Create `rootfs/etc/clawlama/TOOLS.md` with git restrictions (no commit, push, reset --hard)
-- [ ] Include filesystem restriction note (no writes to `/etc`)
-
-### 1.4 Entrypoint Script
-- [ ] Create `rootfs/usr/local/bin/entrypoint.sh` (POSIX shell, `#!/bin/sh`)
-- [ ] Detect architecture (`uname -m` → amd64/arm64)
-- [ ] Detect CPU cores (`nproc` or `/proc/cpuinfo`) and available RAM
-- [ ] Set `OLLAMA_NUM_THREADS` if not already set (physical cores)
-- [ ] Detect SIMD capabilities (AVX/AVX2/AVX-512 on amd64, NEON on arm64) and log them
-- [ ] GPU detection: probe `nvidia-smi`, log GPU model + VRAM if found, log CPU-only if not
-- [ ] Print startup banner (arch, cores, RAM, GPU status, model, ports)
-- [ ] Generate `openclaw.json` from template via `envsubst` → `/data/workspace/.openclaw/openclaw.json`
-- [ ] Copy `TOOLS.md` to `/data/workspace/TOOLS.md` (only if not already present — don't overwrite user edits)
-- [ ] Handle multi-model support: parse `CLAWLAMA_MODELS` comma-separated list, generate multiple model entries
-- [ ] Handle Telegram integration: if `CLAWLAMA_TELEGRAM_BOT_TOKEN` set, inject channel config
-- [ ] Start Ollama in background: `ollama serve &`, capture PID
-- [ ] Wait for Ollama health: poll `curl -sf http://localhost:11434/` with retry loop (max ~60s)
-- [ ] Pull model if not cached: `ollama pull ${CLAWLAMA_MODEL}`
-- [ ] Start OpenClaw gateway in foreground: `openclaw gateway --port ${CLAWLAMA_OPENCLAW_PORT}`
-- [ ] Trap SIGTERM/SIGINT: forward to Ollama PID, wait for clean shutdown
-- [ ] Monitor Ollama background process: if it exits unexpectedly, exit entrypoint (trigger Docker restart)
-
-### 1.5 Health Check Script
-- [ ] Create `rootfs/usr/local/bin/healthcheck.sh`
-- [ ] Check Ollama: `curl -sf http://localhost:11434/` or exit 1
-- [ ] Check OpenClaw: `curl -sf http://localhost:${CLAWLAMA_OPENCLAW_PORT}/` or exit 1
-- [ ] Both pass → exit 0
-
----
-
-## Phase 2: Build & Compose
-
-### 2.1 Build Script
-- [ ] Create `scripts/build.sh`
-- [ ] Set up `docker buildx` builder (create if not exists)
-- [ ] Build + push multi-arch manifest: `docker buildx build --platform linux/amd64,linux/arm64 --push -t docker.io/casjaysdevdocker/clawlama:latest .`
-- [ ] Add optional `--load` mode for local testing (single arch)
-- [ ] Add build timestamp label
-
-### 2.2 docker-compose.yml
-- [ ] Create `docker-compose.yml` with service definition
-- [ ] Volume mount: `clawlama-data:/data`
-- [ ] Port mapping: `18789:18789`
-- [ ] Restart policy: `unless-stopped`
-- [ ] Environment variables with defaults via `.env` file reference
-- [ ] GPU variant: commented-out `deploy.resources.reservations.devices` for NVIDIA
-
-### 2.3 Environment Template
-- [ ] Create `.env.example` with all `CLAWLAMA_*` and `OLLAMA_*` vars with defaults and comments
-
----
-
-## Phase 3: Utility Scripts
-
-### 3.1 Backup Script
-- [ ] Create `scripts/backup.sh`
-- [ ] Tar `/data` volume contents to timestamped archive
-- [ ] Support custom output path argument
-- [ ] Print backup size and location
-
-### 3.2 Restore Script
-- [ ] Create `scripts/restore.sh`
-- [ ] Restore from tar archive to `/data` volume
-- [ ] Validate archive before extracting
-- [ ] Warn if container is running
-
----
-
-## Phase 4: Documentation
-
-### 4.1 README.md
-- [ ] Project description and purpose
-- [ ] Quick start (CPU-only, GPU, custom model examples)
-- [ ] Environment variable reference table
-- [ ] Quantized model recommendations by RAM tier (8 GB / 16 GB / 32+ GB)
-- [ ] GPU setup guide (NVIDIA Container Toolkit prerequisite)
-- [ ] Multi-model configuration examples
-- [ ] Telegram integration setup
-- [ ] Volume and data persistence explanation
-- [ ] Backup/restore usage
-- [ ] Troubleshooting section (common issues, logs, health checks)
-- [ ] Security notes (don't expose gateway publicly, prompt injection surface)
-- [ ] Portainer/Dockge usage note
-- [ ] Override config via bind mount
-
----
-
-## Phase 5: Validation
-
-### 5.1 Success Criteria Verification
-- [ ] `docker pull` succeeds on amd64
-- [ ] `docker pull` succeeds on arm64
-- [ ] `docker run` brings up both services with zero manual intervention
-- [ ] Model auto-pulled on first run (CPU)
-- [ ] OpenClaw responds within 120s of container start
-- [ ] `CLAWLAMA_MODEL` change + restart pulls new model
-- [ ] Data persists across `docker stop && docker start`
-- [ ] Runs on x86_64 Linux VM
-- [ ] Runs on Apple Silicon Mac (Docker Desktop)
-- [ ] Runs on Raspberry Pi 5 (arm64)
-- [ ] `--gpus all` on NVIDIA host → GPU detected in logs
-- [ ] Without `--gpus` → CPU-only, no GPU errors in logs
-- [ ] Image size < 500 MB compressed (excluding models)
-
-### 5.2 Edge Cases
-- [ ] First run with no pre-existing `/data` volume
-- [ ] Container restart with existing model cache (should skip pull)
-- [ ] Invalid `CLAWLAMA_MODEL` value → clear error message
-- [ ] Ollama crash during runtime → container exits, restart policy recovers
-- [ ] SIGTERM during model pull → clean shutdown
-- [ ] Low memory host (4 GB) with 7B model → functional but slow