feat!: universal agent messaging — no hooks, no plugins, stdin injection#10
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feat!: universal agent messaging — no hooks, no plugins, stdin injection#10
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Delete all hooks, skills, and plugin infrastructure. Agents no longer
need Claude Code-specific plugins for mesh participation.
- Delete plugin/ directory (hooks.json, stop_inbox.sh, idle_inbox.sh,
SKILL.md, plugin.json, marketplace.json)
- Remove hook format from inbox endpoint — returns raw message object
instead of Claude Stop hook JSON ({decision: "block", reason: "..."})
- Update all docs: ARCH.md (data flow, lifecycle, ASCII art), mesh.md
(heartbeat refs, endpoint table, delivery mechanism), plugin.md
(rewritten as agent integration guide), database.md (column desc),
README.md (plugin section, project structure, scheduler ref)
- Update test suite: rename hook-format tests, assert against raw
message fields, remove format=hook/raw parameter tests
- 203 tests passing, 96% coverage
When the pruning loop detects an active→idle transition, deliver pending inbox messages by writing to the agent's stdin via heimdall INPUT frame. - Add peek_next_message() to db.py — reads without consuming - Add _deliver_inbox_on_idle() to pruning.py — peek → send → consume pattern ensures messages survive delivery failure - Catch OSError, TimeoutError, ValueError from send_input — message stays in inbox for retry on next idle cycle - Cap message body at 4096 bytes to avoid pty buffer overflow - 5 new tests: delivery, empty inbox, no session, OSError preserves message, ValueError handled - 208 tests passing, 96% coverage
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #10 +/- ##
==========================================
+ Coverage 96.03% 96.11% +0.07%
==========================================
Files 15 15
Lines 1035 1054 +19
==========================================
+ Hits 994 1013 +19
Misses 41 41 ☔ View full report in Codecov by Sentry. 🚀 New features to boost your workflow:
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Every agent gets mesh awareness via --append-system-prompt at launch. The prompt includes the agent's name, peer discovery curl, and message sending curl — all pointing at the configured server port. - Add _build_mesh_prompt() to terminal/router.py - Inject into Claude command via --append-system-prompt - Use --json flag in curl snippet (avoids single-quote escaping issue) - Port from AppConfig.server.port, not hardcoded - Safety comment: agent_name sanitizer ensures JSON/shell safety - 4 new tests: prompt content, agent name in JSON payload, port config - 212 tests passing, 96% coverage
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CLAUDE.md was project instructions for the AI agent — not meant for contributors. Replace with a proper CONTRIBUTING.md covering setup, development workflow, code style, testing, architecture, and CI.
All 7 docs updated to reflect heimdall migration, plugin deletion, and universal agent messaging: - ARCH.md: fix diagram (remove plugin system, add monitoring loop), update module map, fix terminal data flow (subscription not polling), fix agent lifecycle (immediate deletion on session gone) - database.md: add agent_state/state_ms columns, state field semantics - deployment.md: replace dashboard config with pruning config - mesh.md: two-stage message delivery, 5s monitoring interval, immediate session-gone deletion, RequireAgent type fix - plugin.md: two-stage delivery model with message formats - terminal.md: complete rewrite — subscription push model, binary WebSocket, mesh prompt injection, file drop endpoint
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Summary
Replace Claude Code-specific hooks and plugins with a universal agent messaging model that works for all agent types (Claude Code, Codex, OpenCode, scripts).
Phase 1: Delete plugin directory
Phase 2: Idle-wake message delivery
[drasill:message from {sender}] {body}Phase 3: Mesh awareness system prompt
--append-system-prompt--jsonflag in curl (avoids escaping issues)Test plan