docs: add headroom compression plan (3.4), update status post-PR#53 review
- Phase 3.4: headroom Unix socket sidecar integration for Colibri - Confirmed clawdie installer hardening (PR #53) is orthogonal - Updated status table: layered-soul content now populated, headroom installed - FreeBSD: zero blockers, Python 3 in base, daemon runs unprivileged
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@ -6,13 +6,15 @@
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| Component | Status | Details |
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|-----------|--------|---------|
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| `hermes-soul` | ✅ Working | Private backup on code.smilepowered.org/clawdie/hermes-soul — 539 skills, 136 sessions, 2 memories, config all backed up and sanitized |
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| `layered-soul` scaffolding | ✅ Complete | Schema, validation script, 6 adapters, private-source planner, docs — all functional |
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| `layered-soul` content | ❌ Empty | SOUL.md and IDENTITY.md are 0 bytes, only 1 sample skill, no curated memories, USER.md is placeholders |
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| Colibri skills import | ✅ Working | `scripts/import-layered-soul.sh` imports `skills/**/*.md` into Colibri's flat `skills` SQLite table |
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| Colibri system_brain | ❌ Not built | `memories/curated/` detected but no DB table — concept only |
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| `hermes-soul` | ✅ Working | Private backup — 539 skills, 136 sessions, 2 memories, config sanitized |
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| `layered-soul` scaffolding | ✅ Complete | Schema, validation, 6 adapters, private-source planner |
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| `layered-soul` content | ✅ Populated | SOUL/IDENTITY/USER/AGENTS.md filled, 5 curated memories, 9 skills |
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| Colibri skills import | ✅ Working | `import-layered-soul.sh` imports skills into flat `skills` table |
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| Colibri system_brain | ❌ Not built | `memories/curated/` detected but no DB table |
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| Colibri system_ops | ❌ Not built | No schema, no manifest format |
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| Colibri system_skills (full) | 📋 Planned | Schema designed in docs/COLIBRI-SKILLS-PLAN.md but Phase 2-7 not implemented |
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| Colibri system_skills (full) | 📋 Planned | Schema designed, Phase 2-7 not implemented |
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| Headroom-ai | ✅ Installed | 0.25.0 on debby, 40%+ savings, integration planned in 3.4 |
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| Clawdie installer hardening | ✅ Merged PR #53 | Non-root daemon, ownership enforcement, pool validation |
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### Architecture
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@ -117,7 +119,44 @@ Design `system_ops` for task/job manifests:
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- `op_id`, `manifest_path`, `manifest_hash`, `op_type`, `title`, `schedule`, `status`, `created_at`
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- Import script: converted cron/task manifests
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### 3.4 Test end-to-end
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### 3.4 Headroom compression middleware (NEW — 2026-06-11)
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Headroom-ai (0.25.0) is installed on debby — 40%+ token savings on tool outputs.
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Integrate as a Colibri Unix socket sidecar that compresses tool outputs before
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they enter agent context. Works identically on Linux and FreeBSD.
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**Architecture:**
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```
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tool output → session.rs:build_prompt_messages()
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→ headroom_compress(raw) ← NEW
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→ compressed output → LLM prompt
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```
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**Files to modify (colibri-daemon):**
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| File | Change |
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|------|--------|
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| `cost.rs` | Add `HeadroomSidecar` struct + `headroom_compress()` fn |
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| `daemon.rs` | Spawn sidecar on startup (`DaemonState`) |
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| `session.rs:557` | Call `headroom_compress()` on tool results before prompt assembly |
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| `config.rs` | `COLIBRI_HEADROOM_ENABLED` env toggle (disabled by default) |
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**Sidecar**: Python script at `/usr/local/bin/headroom-sidecar.py` — simple loop:
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read JSON line from Unix socket → `compress()` → write compressed JSON back.
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**Installer impact**: `ServiceSpec` in crates/clawdie extended with optional
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`sidecar: Option<SidecarSpec>` — same pattern already used for colibri-daemon.
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The installer creates the sidecar user/unit, but the daemon manages lifecycle.
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**FreeBSD**: zero blockers. Python 3 in base, headroom pure Python, Unix sockets
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identical semantics. Daemon runs as unprivileged `clawdie` (hardened in PR #53)
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— sidecar inherits same security posture.
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**Clawdie installer hardening (PR #53) — confirmed orthogonal**: the installer
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creates the service user, ZFS datasets, and rc.d script. It never touches prompts,
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tool outputs, or compression. No adjustment needed to headroom plan.
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### 3.5 Test end-to-end
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1. Run hermes-soul-backup.sh → hermes-soul updated
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2. Run private-source planner → see what's new
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3. Import skills into Colibri → verify in DB
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