One agent doc per repo, and it is CLAUDE.md. Unlike elsewhere, the
existing CLAUDE.md was not a stub -- it carried seven hard-won gotchas,
all of which survive intact. AGENTS.md supplied the deployment and
release material, minus its feature-branch mandate and its `git add -A`
snippet, and minus its pointer to portainer-core, which is deprecated and
must not be used as a source of infra facts. README.md and
docs/philosophy.md linked to the retired file, so those pointers move
with it.
The new material is two traps that both make the runtime look like the
opposite of what it is.
A cold import inside the container loads src/anthropic but not
src/ollama, and Ollama is the primary backend. The only import of
src/ollama is a function-body one at src/anthropic/model_selector.py:230,
while PREFER_CLOUD_BACKEND=false keeps the Claude path off. Read the
module list naively and the disabled fallback looks live while the hot
path looks dead. This matters because the Claude migration is abandoned
and its remnants are supposed to read as vestigial, not as unfinished
work; the doc carries the decision id so that reasoning is fetchable.
Second, get_household_registry() in a fresh `docker exec python` returns
zero members while the running app serves two models from it. It is
populated at startup, so importing the singleton from outside the app and
reading it as empty is a measurement error, not a finding.
Co-Authored-By: Claude <noreply@anthropic.com>
No change shipped. The Steward stays on gemma4:e2b with thinking left at
its default, and this records why so the experiment is not repeated on
the premise that started it.
That premise was wrong. The Steward appeared to pay ~300 tokens per turn
for reasoning that was generated and discarded, since no `thinking` field
comes back. The reasoning is emitted inline in the response instead, and
it is what produces a correct DELEGATE line — suppressing it costs 12.5
points of routing accuracy, entirely on multi-capability queries where
the model stops decomposing and names one capability.
e4b is disqualified by memory rather than quality: Ollama predicts
10.6 GiB for it against ~7.9 GiB available, so it evicts every
co-resident before loading, including nomic-embed-text. Lowering context
length does not rescue it — an 8x reduction moved the prediction only
1.1 GiB — and per-request num_ctx reloads the shared runner, dropping the
keep_alive pin and evicting nomic.
Also records that the two axes are independent: model choice governs
VRAM and co-residency, think setting governs tokens and latency and
costs nothing in VRAM.
Co-Authored-By: Claude <noreply@anthropic.com>
- Rewrite system prompt with negative constraints and step-by-step process
- Set temperature to 0.1 for deterministic tool calling
- Sort room groups to top of device list (address positional bias)
- Add [ROOM GROUP] marker in list_devices output
- Update tool docstrings with explicit entity_id= parameter examples
- Add optimization findings doc (experiment log: 0% → 100% success)
- Add test script for room group detection regression testing
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Update all client endpoints to use /housekeeping/ prefix
- Add critical rule requiring list_devices() before control actions
- Add housekeeping API spec documentation
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Move web search functionality to The Librarian agent, integrating with
the library-desk /rag/search endpoint for enhanced search capabilities.
Changes:
- Add search_web, read_url, read_urls_batch tools to Librarian
- Add WebSearchResult, ContentExtractionResult models to client
- Add search_web, extract_content, extract_content_batch client methods
- Update Librarian capability with web/url/internet domains
- Remove search_web from tatlock_core tools and toolset
- Update Tatlock system prompt to delegate web search to Librarian
- Add comprehensive unit tests for new Librarian tools
- Clean up legacy src/agents/tools.py
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add The Biographer household member for user memory management:
Memory Service (direct access layer):
- src/core/memory_service.py for fast, LLM-free lookups
- Profile, preference, and fact management
- Session context with Redis caching
- Steward integration via prefetch_context()
The Biographer Agent:
- src/agents/biographer/ package with PydanticAI agent
- Discreet chronicler personality for privacy
- Tools: recall_semantic, list_memories, store_insight,
update_profile, update_preference, forget_memory
- Registered with Household Registry on startup
Steward Integration:
- Memory context pre-fetch during analysis
- Profile/preferences included in Butler note
- Keyword-based context determination
Also includes:
- delegate_to_biographer() wrapper
- 34 new tests (capability + memory service)
- Version bump to 1.2.0
Documentation cleanup:
- Removed obsolete PHASE2_COMPLETE.md, PHASE2_PLAN.md
- Removed docs/library-desk-requirements.md
- Moved ORCHESTRATION_SCENARIOS.md to project root
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Documents desired multi-agent orchestration patterns with
intra-system prompts showing how Tatlock delegates to experts.
Includes 8 scenarios from simple to complex:
1. Weather lookup (implicit location)
2. Conditional home automation
3. Wiki page creation
4. Research queries
5. Document updates
6. Multi-source synthesis
7. Graph exploration
8. Multi-step workflows
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Document required endpoints for wiki write operations
- Include implementation guide for smart-create endpoint
- Decision flow for when to use each write tool
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>