token.json is mounted :ro, so writing refreshed creds back raised
PermissionError at startup once the stored access token expired. The broad
except in agents.py then disabled Calendar and Gmail tools entirely.
Keep the refreshed creds in memory when the write fails.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
POST /api/conversation/upload takes an image (via process_image) or a
PDF/txt/md/csv file, checks the conversation belongs to the caller, and
stores files at conversations/<id>/files/<uuid>.<ext> with the original
name in S3 metadata. Anything else gets a 415.
stream-query accepts file_key (must sit under this conversation's
files/ prefix), extracts its text capped at 12k chars, appends it to the
agent's user turn as <attached file> and records 📎 name on the saved
message.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
- Full resyncs mark mirror rows missing from the download as deleted;
YNAB omits deleted entities from non-delta responses, so deletions
made just before a full sync never reached the mirror.
- YNAB tools return errors as text instead of raising, since ToolNode
re-raises and would fail the whole chat turn. ynab_sql catches all
sqlglot errors (e.g. an unbalanced quote) and runs the SQL regenerated
from the validated tree, which also drops comments that broke the
LIMIT wrapper. Results keep duplicate column names.
- Sync fetches from YNAB before opening the DB transaction, discards the
payload if the other container synced meanwhile, re-checks freshness
under the lock so parallel tool calls share one sync, and backs off
for 60s after a failure.
- The mirror is pinned to one budget; a changed YNAB_BUDGET_ID errors
instead of mixing budgets, and an unset id stays on the budget the
first sync resolved from "last-used".
- Change log: no entries for empty month rollover rows, and id fields
are logged as names (category, payee, account). ynab_recent_changes
accepts the names it prints ("assignment") and plurals.
- Outputs sized to the 4000-char tool result cap; ynab_sql reuses the
shared admin message.
- YNAB API client moves back to utils/ynab_service.py, and the frontend
tool status labels list the new tools.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
YNAB has no event feed, so keep a local copy in ynab_* tables synced via
server_knowledge delta requests: full download on first run, deltas every
YNAB_SYNC_INTERVAL seconds and on demand before each tool call, full
resync daily. Each sync diffs against the mirror and appends real edits
(transactions, assignments, renames) to ynab_changes, the edit history
YNAB doesn't keep.
Agent YNAB tools now answer from the mirror: budget summary (spending
computed from transactions, since YNAB's month activity nets in credit
card payment categories), account balances, transaction search with
splits expanded, spending reports by category/payee/account/month,
category budget, and recent changes. Adds an admin-only read-only
ynab_sql tool guarded by a sqlglot allowlist (scope-resolved tables, no
dangerous functions), a READ ONLY transaction, a timeout, and a row cap.
Replaces utils/ynab_service.py and drops the unused ynab SDK.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Allowlist homebox-mcp's general item editor so the agent can rename items
and edit description, notes, quantity, purchase info, flags and custom
fields. Only passed args change; the rest of the item is preserved.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Load an allowlisted subset of bookstack-mcp tools (search/read plus
create/update books, chapters, pages and comments; no deletes) over stdio
and add them to the admin agent alongside Homebox. Extract the shared
allowlist + is_admin wrapping into utils/mcp_tools.py.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Load an allowlisted subset of homebox-mcp tools (read + safe writes, no
deletes) over stdio and compile them into a separate admin agent, so
non-admins never see them. Each tool also re-checks is_admin per call.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Each nightly profile refresh now also picks FRIEND_SAMPLE_SIZE (5) random
followed users and fetches their rankings, building up a picture of friends'
lists over time. Rows are tagged with friend_beli_user_id/friend_name so the
agent tool can surface attribution ("via Alex").
Requires migration to add friend_beli_user_id/friend_name columns and update
unique_together on beli_restaurants.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Category codes: RES/DES/BAR/BAK (was full English words)
- score field: use 'value' from Score model (was 'score', which doesn't exist)
- rank_index: pass array position (no rank field in response)
- fetch_bookmarks: no query params (user param caused 405)
- notes: correctly None (stored separately, not in ranking results)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Bookmarks returning 400 was aborting the whole refresh and discarding
successfully-fetched ranking data. Now bookmarks log a warning and
continue. Also pass user= to the bookmark endpoint in case it's required.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Multi-tenant system to fetch and store restaurant lists from Beli accounts.
Each user can connect up to 3 Beli profiles; a nightly Cronicle job (1–5 AM,
randomised) refreshes the 3 stalest profiles using the reverse-engineered Beli
API (mirrored at git.torrtle.co/ryan/beli-api). Rankings (been) and bookmarks
(want-to-try) are stored in Postgres and queryable via a new LangChain agent
tool. Beli passwords and refresh tokens are stored Fernet-encrypted.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
If scheduled_at has sub-minute seconds (e.g. retry = now+30s), the
Cronicle event would fire at the start of that minute before the message
is due and find nothing. Round up so it always fires after the due time.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
The shell script's Node.js socket timeout was 10s, too short for agent
runs with use_agent=true. Bump to 300s (5min) and set Cronicle job
timeout to 360s to match.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Instead of an every-minute poller, each scheduled message gets its own
Cronicle event created at schedule time:
- One-time: year/month/day/hour/minute one-shot
- Daily/weekly/monthly: recurring timing matching the recurrence setting
Retry (PUT with new scheduled_at on failed messages) also creates a new
Cronicle event and resets status to pending. Recurring messages reuse
their existing Cronicle event across occurrences.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Switches from curl (shell not available in Cronicle container) to a Node.js
inline script using the built-in http module. Tries raggr-green first, falls
back to raggr-blue automatically — no manual update needed on color swap.
Delete the existing broken Cronicle event before redeploying.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Switch shellplug → urlplug to avoid spawn errors in shell-less containers
- Explicitly set timing to all 60 minutes (Cronicle {} defaults to hourly :00)
- Restore RAGGR_INTERNAL_URL env var for the HTTP plugin target URL
Delete the existing broken Cronicle event before redeploying so it gets recreated.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Shell script falls back to the other color if the primary is down,
so the trigger works regardless of which container is currently active.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
On startup raggr calls the Cronicle API (CRONICLE_URL + CRONICLE_API_KEY)
and creates a 'Scheduled Messages Trigger' shell event if it doesn't exist,
replacing the need to configure it manually in the Cronicle UI.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Add get_category_allocations() to YNABService that fetches all categories
grouped by category group (using the categories API for group structure),
showing assigned and available amounts for every non-hidden category.
Add the corresponding ynab_category_allocations agent tool so the LLM
can answer questions about per-category budgets even when a category has
no spending activity this month.
Also remove the [:10] cap in ynab_category_spending so all spending
categories are returned — previously categories ranked below 10th by
activity (e.g. Coffee slush fund) were silently dropped.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Replaces the gws CLI subprocess approach with google-api-python-client.
Adds get_calendar_events, create_calendar_event, gmail_search_emails, and
gmail_get_email as LangChain tools; all admin-gated and auto-enabled when
token.json is present. Includes uv-runnable scripts/google_auth.py for
one-time OAuth2 setup.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Native reply threading: inbound replies continue their conversation via
SendBlue message_handle lookup; standalone messages create a new conversation
- Our responses are sent with reply_to so they thread visually in iMessage
- Typing indicator fires before agent invocation and stops in a finally block
- Add extract_agent_text() to handle list-type AIMessage content and strip
<think> tokens from Qwen3 — applied to iMessage, WhatsApp, and web chat
- ConversationMessage gains a nullable message_handle field (migration needed)
- /threads command lists recent iMessage conversations
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Image messages previously ran two sequential LLM generations: a full
non-streamed vision call to describe the image, then a second agent call
with the description pasted in as text. The agent's llama-server model is
already vision-capable, so attach the image to the user message as an
OpenAI-style image_url content part and let the single agent call see it.
Roughly halves image-turn latency and streams from the start.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
analyze_user_image now runs input bytes through Pillow before base64-
encoding, converting HEIC/HEIF and any other non-JPEG format to JPEG.
pillow_heif is already registered at module load so HEIC opens cleanly.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Upgrades pypetkitapi to 1.28.0, which adds the Eversweet Ultra (W7H
fountain with AI camera). The poller now extracts per-pet drinking
events (drink_over/pet_detect records) into a new drinking_events
table, plus Ultra-specific alerts for waste tank full and filter
expiry. Uncertain state fields (cwt/wt/pump) are logged for threshold
tuning against real data.
Exposes the data via a new /api/pets/drinking-events endpoint, a
Fountain Activity dashboard section, and a simbakit_drinking_activity
LangChain tool so the agent can answer hydration questions.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Wires up the existing MealieService to the conversational agent with tools
for querying today's meals, weekly meal plans, full recipes, shopping lists,
and creating new meal plan entries. Adds env vars to docker-compose and
updates the system prompt so the agent knows when to use each tool.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds simbakit/ as a subfolder service that polls PetKit smart devices
(litter box, fountain, feeder) and exposes pet weight, litter activity,
and device health data via three new LangChain tools.
Also fixes stale alerts bug where cleared conditions (e.g. waste bin
full) persisted because the query used max alert time instead of the
device's last_seen_at timestamp.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Strip markdown formatting (bold, italic, headers, code, links, lists) from
LLM responses before sending via iMessage. Add scheduled messages feature
with CRUD API, background scheduler loop, and admin frontend panel.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Two fixes:
- Convert wikilinks to display text instead of stripping them entirely.
[[Noah]] becomes "Noah", [[target|display]] becomes "display". This
was causing names and references in wikilinks to be invisible to search.
- Switch _get_obsidian_indexed_files to async engine to avoid stale reads
from the separate sync engine, which caused files to be re-indexed
every cycle.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Update from journal/YYYY/YYYY-MM-DD.md to
50 - Journal/YYYY/MM/YYYY-MM-DD.md to match the actual Obsidian vault
folder layout.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Consolidate onto PostgreSQL by using pgvector instead of a separate
ChromaDB instance. This removes a Docker volume, a large dependency,
and simplifies the stack without meaningful performance impact at
our document scale.
- Swap langchain-chroma for langchain-postgres (PGVector)
- Use pgvector/pgvector:pg16 Docker image with init script
- Lazy-initialize vector store to avoid eager DB connections
- Add SQL helpers for stats/delete/list (replacing _collection access)
- Remove legacy main.py, chunker, petmd scraper, and /api/query endpoint
Re-index required after deploy (POST /api/rag/index + /index-obsidian).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Browser <img> tags can't attach JWT headers, causing 401s. The image
endpoint now returns a time-limited presigned S3 URL via authenticated
API call, which the frontend fetches and uses directly.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Use the same llama-server (OpenAI-compatible API) for vision analysis
that the main agent uses, with OpenAI fallback. Sends images as base64
in the standard OpenAI vision message format.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Users can now attach images in the web chat for Simba to analyze using
Ollama's gemma3 vision model. Images are stored in Garage (S3-compatible)
and displayed in chat history.
Also fixes aerich migration config by extracting TORTOISE_CONFIG into a
standalone config/db.py module, removing the stale aerich_config.py, and
adding missing MODELS_STATE to migration 3.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The get_transactions() method was truncating results to 50 by default,
causing incomplete transaction data. The YNAB API returns all matching
transactions in a single response, so this limit was unnecessary and
caused count/total inconsistencies.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Convert date strings to datetime.date objects before passing to API (strict Pydantic validation rejects strings)
- Use txn.var_date instead of txn.date (renamed in SDK v2 to avoid Python builtin conflict)
- Migrate BudgetsApi → PlansApi and update method names accordingly
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Update llm.py to use OpenAI client with custom base_url for llama-server
- Update agents.py to use ChatOpenAI instead of ChatOllama
- Remove unused ollama imports from main.py, chunker.py, query.py
- Add LLAMA_SERVER_URL and LLAMA_MODEL_NAME env vars
- Remove ollama and langchain-ollama dependencies
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Ryan Chen