[recipes] Living Profile — self-updating per-fact user profile - #60
[recipes] Living Profile — self-updating per-fact user profile#60alanshurafa wants to merge 36 commits into
Conversation
Adds a small drop-in extension surface so dashboard add-ons can register
a new route + sidebar entry without touching core files:
- extensions.config.ts: typed registry, empty by default
- components/Sidebar.tsx: splits nav into core + extensions + trailing,
resolves icon keys via a registry; adds clock/folder/plug/sparkles
- lib/api.ts: exports apiFetch so extension pages can reuse the
authenticated JSON fetch + error plumbing
- EXTENSIONS.md: convention doc (folder layout, auth, icon registry,
sidecar vs in-tree REST routes)
After this change, future extensions touch only their own folder under
app/<route>/ and a single entry in extensions.config.ts.
https://claude.ai/code/session_01AvZANjBLBpEh3eFzPzzGGH
… variants
JavaScript Number loses precision beyond 2^53. All ID parsing now uses
string validation instead of Number(). Added extractThoughtId() to
handle all upsert_thought RPC response shapes (scalar, {id}, {thought_id}).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Why: === short-circuits at the first differing byte. For a public Edge Function deployed with --no-verify-jwt where MCP_ACCESS_KEY is the only auth layer, a remote attacker can use response-latency differences to byte-wise discover the key. Replace with XOR-accumulate over equal-length byte arrays so comparison time is independent of where inputs differ.
Why: The gateway is deployed with --no-verify-jwt so MCP_ACCESS_KEY is the only auth layer. Allow-Origin: * combined with write methods let any origin attempt a cross-origin call with a leaked key, and the complete absence of throttling meant a single leaked key could burn Supabase row quota and OpenRouter credits at fetch speed. - CORS_ALLOWED_ORIGINS env var (comma-separated) restricts to an explicit allowlist; unset keeps legacy * for backward compatibility. - RATE_LIMIT_PER_MIN env var (default 100) enforces a rolling 60s per-key cap with SHA-256 hashed bucket keys and 429 + Retry-After. - README Security section documents both settings and their defaults.
Why: /ingest and /ingestion-jobs/:id/execute forwarded request bodies to smart-ingest with no AbortSignal, no size limit, and a bare response.json() call. Three failure modes: hung upstream holds a worker slot until the 150s edge timeout kills it; an attacker can POST a 50 MB blob that the Edge Function will parse, stringify, and forward; an HTML/text error page from Supabase causes response.json() to throw a SyntaxError that the top-level catch mislabels as 'Invalid JSON in request body' — pointing the caller at their own payload instead of the real upstream failure. - readJsonWithCap() rejects bodies over 1 MB with 413 before parsing. - proxyFetchJson() uses AbortController with 60s timeout, distinguishes upstream_timeout (504), upstream_unreachable (502), upstream_invalid_json (502 + raw text snippet), and upstream_error (passes upstream status) from legitimate JSON responses.
Why: The sort query string was forwarded verbatim to PostgREST's order param. The service role can read every column on thoughts including embedding (1536-dim vector — heavy scan) and sensitivity_reasons (JSONB with PII-adjacent strings). An attacker could enumerate the schema, force unindexed scans, or partially exfiltrate metadata through sort order of returned rows. Allowlist: id, created_at, updated_at, importance, quality_score. Unknown sort values return 400 with the valid options.
Why: String(error) on a PostgrestError or an Error wrapped with a
PostgREST message leaked internal SQL text — table names, column names,
and constraint names — to the caller. Under service-role access,
constraint errors include data values. That is an info-leak vector for
any authenticated attacker.
Return a stable opaque payload: { error: 'internal_error', code:
'GENERIC', error_id: <uuid> }. Log the full error server-side tagged
with the same UUID so operators can correlate without exposing internals.
Why: PUT /thought/:id only refreshed content, embedding, type, and importance. A caller could rewrite a standard thought to include a credit-card number, SSN, or health identifier and the sensitivity_tier would stay at standard — so the thought would still be returned in exclude_restricted=true queries and in semantic search without filtering. Now runs detectSensitivity on the new content and applies resolveSensitivityTier against the existing tier (escalation-only). Writes sensitivity_tier + sensitivity_reasons into the update only when the tier actually changes. Adds an opt-in force_sensitivity flag that lets the caller bypass escalation-only semantics — but even with the flag the result is clamped to at least what detection returned, so force_sensitivity cannot hide detected PII.
…tchWithTimeout Adds an AbortController-backed fetchWithTimeout helper to _shared/helpers.ts and rewires all 5 outbound fetches (OpenRouter + OpenAI embeddings; OpenRouter + OpenAI + Anthropic chat completions) through it. Default 60s, override via FETCH_TIMEOUT_MS env. Also widens isTransientError to match the new "fetch timeout" error string plus "aborted" and 504, and adds a sibling isFatalProviderError for 400/401/402/403 so BLOCKER-2 can fail-fast on hard auth/quota errors instead of cascading to fallback providers. Why: on upstream provider stall every caller was hanging until the Supabase Edge Function runtime killed the connection (~150s). With 5 LLM calls per capture in the worst case, a single capture_thought could pin an Edge Function for ~10+ minutes. This is the Wave-wide timeout pattern applied consistently here.
Three layered safeguards so capture_thought cannot rack up unbounded per-request LLM charges: 1. Fingerprint-first dedup in capture_thought — before we pay for any classification or embedding, hash the raw content and check if it already exists. Identical re-captures short-circuit with an action="deduplicated" result. upsert_thought dedups too, but by then we've already burned the enrichment cycle. 2. Global call budget ENHANCED_MCP_MAX_CALLS (default 10000). Edge Function instance tracks cumulative classifier invocations and returns fallback metadata once the cap is hit. Set to 0 to disable classification entirely for bulk imports. 3. Fail-fast on 400/401/402/403 via a new isFatalProviderError. The old path treated ALL errors as cascade-worthy, so a single 402 (payment required) on OpenRouter would fire OpenAI *and* Anthropic in sequence — double-billing the user on the two providers that had nothing to do with the original failure. New path: fatal errors skip the fallback chain entirely. Also caps attempt 3 at exactly ONE fallback provider instead of iterating through all remaining providers. Why: the original extractMetadata could fire up to 4 LLM calls per capture (primary + retry + 2 fallback providers). A batch of 100 captures on a rate-limited primary would easily hit 300+ calls with 1.5s retry delays adding 150+ seconds of wall-clock, and any 402 on OpenRouter would double-bill into OpenAI and Anthropic regardless of whether either could plausibly fix the problem.
…ding sensitivity update_thought was writing detectSensitivity(content).tier directly to the row, which meant editing a `personal` thought to remove the sensitive phrasing silently relabeled it as `standard` — and any restricted pattern in the new content was happily persisted to the cloud even though capture_thought refuses that same content. Fix: 1. Pre-flight reject if the NEW content trips any RESTRICTED_PATTERN. Matches capture_thought's behavior and returns the detection reason in the error so the caller knows why. 2. Use resolveSensitivityTier() with the EXISTING row's tier as the floor. Escalation-only semantics: personal -> standard is blocked, standard -> personal / personal -> restricted still work. This is the same helper prepareThoughtPayload already uses everywhere else. Why: this was a real data-leak vector. A user captures "my salary is $120k" as `personal`, later rephrases it to "my income situation is comfortable", and the row goes back to `standard`. The next broad list_thoughts exposes it to any connected client. Update paths must maintain the escalation invariant that capture paths enforce.
…release Removes the delete_thought tool registration, the README table row, and the 14 -> 13 tool count everywhere (README intro, Expected Outcome, Tool Surface Area, metadata.json description). Renumbers the remaining section comments in index.ts. Adds an "Intentionally Excluded From This Release" section to the README explaining why delete_thought will ship in a follow-up: hard DELETE has no tombstone path on the enhanced-thoughts schema today, and the maintainer's PR NateBJones-Projects#127 guidance was "depreciate and version rather than delete." Shipping a safe soft-delete requires a `deleted_at` column and a restore_thought sibling that don't exist yet. Why: the drafted implementation was hard DELETE on a row with no deleted_at column, no audit trail, no restore path. Aligning with PR NateBJones-Projects#127 posture is cheaper than trying to bolt on soft-delete here without schema support — we'll land both tool and schema changes together in a later PR.
…prefix Renames the four tools that share names with server/index.ts so both MCP servers can stay connected without the model seeing duplicate tool entries: - search_thoughts -> brain_search_thoughts - list_thoughts -> brain_list_thoughts - capture_thought -> brain_capture_thought - thought_stats -> brain_thought_stats Also updates the README What-It-Does, Step 4, Expected Outcome, and Tool Reference sections to reflect the new names and explain the collision-prevention intent, plus matching section comments and internal error-log labels in index.ts for grep-ability. Why: Claude Desktop and most MCP clients list connector tools in a flat namespace. When the stock server and this server both expose `capture_thought`, the model has to guess which one the user meant; if it picks the stock one, there's no sensitivity pre-flight and "restricted content stays local" silently breaks. `brain_` prefix is a cheap one-pass rename that eliminates the footgun by design.
…e tableExists
Two related fixes:
1. The schema guard in ops_source_monitor was looking for
`ops_source_volume_24h`, a view name that exists in neither this
repo nor the brain-health-monitoring recipe. Result: once the user
installed the recipe (which defines `ops_source_ingestion_24h`,
`ops_source_errors_24h`, `ops_source_recent_failures`), the tool
STILL returned "install required views" because the guard looked
for a view nothing creates. Fix: check `ops_source_ingestion_24h`
(one of the real views) and add a partial-install detection that
returns a graceful "only partially installed" response if any one
of the three views is missing.
2. `tableExists` previously required the target to have an `id`
column (`select("id")`). That works for tables but not for views
like `ops_source_errors_24h` which has only
`(source, error_events_24h)`. Switched to
`select("*", { head: true, count: "exact" }).limit(0)` which
performs a HEAD request with no data transfer and no column-name
dependency, so it works on any table or view.
Why: without this fix the tool never activates even when the user
installs exactly the recipe the README told them to install — a
pure dead-end UX. And `tableExists` was one unusual view schema away
from false-negatives on other operational tooling.
Adds an escapeLikePattern helper that escapes `\`, `%`, and `_` in a
user query before interpolating into an ILIKE pattern. graph_search
now runs `%${escapeLikePattern(query)}%` instead of `%${query}%`.
Why: a user searching for "100%" (e.g. "100% uptime") was producing
the ILIKE pattern `%100%%` which matches every entity whose
canonical_name contains "100" — effectively the whole graph for a
dense brain, capped only by LIMIT. And "a_b" was matching "aab",
"axb", etc. Not SQL injection (PostgREST parameterizes the value)
but a DoS-adjacent correctness bug that passes unit tests on
alphanumeric queries and falls over on real queries.
… fallback Two auth hardening changes: 1. Replace `provided !== MCP_ACCESS_KEY` with a timingSafeEqualStrings helper that prefers crypto.subtle.timingSafeEqual and falls back to a manual XOR loop. Length mismatch short-circuits — acceptable for the fixed 32-char access key; a variable-length key would need a different pattern. 2. Drop the `?key=<access-key>` query-parameter fallback. Auth now requires `x-brain-key: <key>` OR `Authorization: Bearer <key>` only. Query strings end up in Supabase request logs, CDN logs, and any intermediate proxy logs — leaking the credential into places that don't get rotated with the secret itself. Also updated README Step 3 and Troubleshooting to document the header-only posture. Why: timing-safe comparison is the Wave-wide review bar for any bearer-equivalent token, and URL query credentials are a classic "works today, leaks tomorrow" anti-pattern.
… search Two-layer defense for the "top-N then post-filter" correctness bug: 1. Forward start_date / end_date into the match_thoughts RPC filter payload along with exclude_restricted. RPC versions that honour these filter keys will pre-filter at the SQL level before applying the similarity cutoff — making the behavior server-side correct. Older RPCs ignore unknown filter keys and we fall through to (2). 2. When a date filter is active, over-fetch 3x the requested limit (capped at 500) instead of limit + 50. The previous +50 slack was catastrophic on dense recent brains: a top-200 result set where all 200 matches were recent would silently return 0 rows for an old-date query even when relevant matches existed below rank 200. Also documents the limitation in a new README "Known Limitations" section so users running on the older RPC signature understand the workaround (switch to mode: "text" or narrow the query). Why: silent empty results are the worst class of search UX failure because users assume "no matches" rather than "cutoff too tight." The over-fetch cost is bounded at 500 rows, a few milliseconds on any reasonable brain size.
…ture Adds a new "Security" section to the README covering: 1. This server's own auth model (constant-time compare, header-only MCP_ACCESS_KEY, service_role under the hood as the sensitivity- filter boundary). 2. Companion schema risk: the enhanced-thoughts schema installs its three SECURITY DEFINER RPCs with service_role-only grants by default; granting anon/authenticated on those RPCs would be an RLS bypass because SECURITY DEFINER runs with the function owner's privileges. Combined with a publicly-reachable enhanced-mcp deployment that pattern would let anyone with the Supabase project URL + anon key read thought content directly, routing around this server's sensitivity filtering. Why: the README previously advertised the RPC names (which makes them discoverable) without warning that exposing them to anon collapses the whole sensitivity story. A one-paragraph callout costs nothing and is exactly the kind of "safe defaults" note the upstream gate reviewers expect from integration docs.
PR NateBJones-Projects#218 shipped the Open Brain capture extension without the runtime hardening proven in the downstream ExoCortex build. Graft it in, transliterated to the Open Brain naming/config regime: 120s ingest timeout + HTTP status on API errors; permanent (4xx) vs transient error classification with rejected-capture logging; bucketed seen-fingerprint cache for O(1) dedup; session-metrics persistence across MV3 worker restarts; 200-item retry-queue cap with dead-lettering; sync exponential backoff, crash-safe cursor flushing, in-flight locks and auth-expiry tracking for Claude/ChatGPT; sensitivity fail-closed retry; content-bridge channel-closed guard; deepest-match Claude DOM extraction; popup last-error surfacing. Preserves the Open Brain rebrand, empty-by-default endpoint + HTTPS/loopback policy, GET/SAVE_CONFIG flow, and history-only Gemini design. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Accepting the access key via ?key= leaks it into CDN/proxy/Supabase access logs. Accept it only via the x-brain-key or Authorization: Bearer headers, matching enhanced-mcp. Updates README examples + auth docs. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
State that the service-role backend bypasses RLS (key = full-brain access, single-tenant by design) and that the key must be high-entropy since rate limiting is best-effort. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Document that MCP_ACCESS_KEY should be high-entropy (single shared secret, single-tenant) and that the wildcard CORS is deliberate and safe given header-based auth. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
…/dashboard-extension-hook Add config-driven extension hook for sidebar
…lanshurafa/chrome-capture-gemini-history [integrations] Chrome extension — Gemini bulk history sync (Phase B/C)
…lanshurafa/enhanced-mcp [integrations] Enhanced MCP server (alpha tool suite)
…lanshurafa/rest-api-gateway [integrations] REST API gateway
…-ob1-gate-v2-empty-runs [docs] Fix OB1 gate v2 workflow runs
Distills durable facts from the whole brain (not one wearable), cites evidence per fact, and supersedes stale facts instead of duplicating them. Degrades to a single canonical thought on baseline OB1 without wiki_pages; upgrades to real wiki sections when that schema is present.
There was a problem hiding this comment.
💡 Codex Review
Here are some automated review suggestions for this pull request.
Reviewed commit: 0460d90dec
ℹ️ About Codex in GitHub
Your team has set up Codex to review pull requests in this repo. Reviews are triggered when you
- Open a pull request for review
- Mark a draft as ready
- Comment "@codex review".
If Codex has suggestions, it will comment; otherwise it will react with 👍.
Codex can also answer questions or update the PR. Try commenting "@codex address that feedback".
|
|
||
| function json(data: unknown, status = 200, req?: Request): Response { | ||
| const headers = req ? corsHeadersFor(req) : { | ||
| "Access-Control-Allow-Origin": CORS_ALLOWED_ORIGINS.length === 0 ? "*" : "null", |
There was a problem hiding this comment.
Preserve allowed origins on JSON responses
When CORS_ALLOWED_ORIGINS is set, this fallback emits Access-Control-Allow-Origin: null for every handler that calls json(...) without passing req (for example /health, /search, and /recent). The preflight uses corsHeadersFor(req), but the actual response is then blocked by browsers for the documented dashboard origins, so production CORS allowlisting makes the gateway unusable. Thread req through the helper or otherwise reflect the allowed Origin on all responses.
Useful? React with 👍 / 👎.
| let query = supabase.from("thoughts") | ||
| .select("id, content, type, source_type, importance, metadata, created_at, updated_at") | ||
| .order("created_at", { ascending: false }) |
There was a problem hiding this comment.
Filter restricted rows from recent results
In brains that contain sensitivity_tier = 'restricted', this /recent query returns raw content from those rows because it has no exclude_restricted default or filter, unlike the other read endpoints. Since this gateway is documented as the sensitivity-filter boundary, any authenticated client using Recent can display restricted memories without explicitly opting in; add the same default neq('sensitivity_tier', 'restricted') behavior here.
Useful? React with 👍 / 👎.
An Omi-Memories-style living profile for any Open Brain: a daily loop distills durable facts about you from captured thoughts (per-fact rows with category, confidence, citations, and supersession), renders a profile wiki page when the wiki schema is present, and degrades to a single canonical profile thought on baseline installs.
Generalized from a production ExoCortex implementation (146-test suite there): any Chat-Completions-compatible LLM, env-driven subject identity, watermark-invariant incremental processing (a mid-run failure never silently skips thoughts), fail-closed sensitivity-tier handling, category-scoped slot supersession, and prompt-injection delimiters. Ships dashboard-snippets for the extension-slot pattern.
Siblings: entity-wiki covers pages about others; wiki-synthesis covers narrative autobiography; this covers the structured self-profile.
🤖 Generated with Claude Code