Restructures persona storage from a flat personas/{name}/ layout to
home/{username}/persona/{name}/, mirroring Linux home directories.
Changes:
- persona.py: two ContextVars (user + persona), Linux-style name validation,
set_context(), get_user(), get_persona(), validate(), list_users(),
list_user_personas(); persona_path() takes (username, name)
- config.py: replaces personas_dir with home_dir + home_root()
- git mv personas/inara → home/scott/persona/inara (history preserved)
- home/holly/persona/tina/: Holly's persona stub added
- cron_runner.py: all storage functions take (username, persona) params
- tools/cron.py: stamps user + persona on jobs; APScheduler IDs are
{user}:{persona}:{job_id} to prevent collisions across users
- memory_distiller.py: distill_short/mid/long take (username, persona);
added missing Path + settings imports
- scheduler.py: _load_user_crons() iterates home/*/persona/* (two-level)
- routers/chat.py, orchestrator.py: user field added; set_context() called
- tests/conftest.py: home_root fixture with two-level structure;
patches home_dir instead of personas_dir
- tests/test_persona.py: fully rewritten for two-level API
- tests/test_api_files.py: updated fixture name and path
- .env.default: documents HOME_DIR setting; scrubs stale API key
- CLAUDE.md, README.md: directory maps updated for new layout
All 80 tests pass.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
1.8 KiB
1.8 KiB
CONTEXT_TIERS.md — Cortex Dispatcher Loading Spec
This file defines which Inara context files to inject into a session based on the target model's context window. The dispatcher reads this to decide what to prepend.
Tier 1 — Minimal (~1,500 tokens)
Target: Local models with ~8k context or less (Qwen 8B small, etc.)
Load:
SOUL.mdIDENTITY.mdUSER.md— first 30 lines only (identity + what he cares about)
Notes: Just enough for Inara to know who she is and who Scott is.
Tier 2 — Standard (~5,000 tokens)
Target: Models with 16k–32k context (Haiku, Gemini Flash, Qwen 8B full)
Load:
SOUL.mdIDENTITY.mdUSER.md— fullMEMORY.mdPROTOCOLS.md
Notes: Full operational context. Sufficient for most routine tasks and conversations.
Tier 3 — Extended (~15,000 tokens)
Target: Models with 32k–128k context (Sonnet, Gemini Pro, Qwen 14B, Qwen 30B)
Load:
- Everything in Tier 2
~/agents_sync/aether/docs/FLEET_MANIFEST.md- Most recent 2 session files from
sessions/ - Relevant project doc (e.g.,
CORTEX.md) if task is project-related
Tier 4 — Full (50,000+ tokens)
Target: Frontier models with 200k+ context (Claude Opus/Sonnet, Gemini 2.5 Pro)
Load:
- Everything in Tier 3
- Last 5–7 session files
- Full project docs as relevant
~/agents_sync/aether/docs/api_v3.mdif task involves Aether API
Hard Rules
SOUL.mdandIDENTITY.mdare always loaded, regardless of tier.- Never inject:
.envfiles,TOOLS.md(contains credentials), raw session logs older than 30 days. - MEMORY.md must stay under 4,000 tokens — enforce this during distillation.
- When in doubt, use Tier 2. Over-loading small models degrades output quality.