Conversation
Owner
wileland
commented
Mar 4, 2026
wileland
commented
- feat(enrichment): add Phase 2 enrichment relay stage (feat(enrichment): add Phase 2 enrichment relay stage #648)
- fix(enrichment): allow retries; fail only on final attempt (fix(enrichment): allow retries; fail only on final attempt #649)
- feat: oracle foundation (MemoryChunk receipts + context-pack-v0 + artifact-registry-v0) (feat: oracle foundation (MemoryChunk receipts + context-pack-v0 + artifact-registry-v0) #650)
- chore(docs): mark legacy FAISS vector index; clarify Atlas is canonical (chore(docs): clarify vector doctrine; mark legacy FAISS index #651)
- feat: wire enrichmentData into reflection prompt (phase 3 track A) (feat: wire enrichmentData into reflection prompt (phase 3 track A) #652)
- chore(docs): clarify enrichment terminal semantics in isUpstreamReady (chore(docs): clarify enrichment terminal semantics #653)
- feat(oracle): wire Atlas $vectorSearch retrieval into reflection context pack (feat(oracle): wire Atlas $vectorSearch retrieval into reflection context pack #654)
- feat(archive): Phase 4A sovereign archive + batch ingestion pipeline (feat(archive): Phase 4A sovereign archive + batch ingestion pipeline #655)
- feat(agents): phase 4.5 agent runner + inline pipeline mode (feat(agents): phase 4.5 agent runner + inline pipeline mode #656)
- Fix inline createScribeTask to return AgentTask contract (Fix inline enqueueScribe return shape (AgentTask contract) #657)
- Mark inline SCRIBE task completed on pipeline success (Inline pipeline: mark SCRIBE task completed on success #658)
- feat(agents): Phase 5 Oracle Activation v1 — assembly line + provenance receipts (feat(agents): Phase 5 Oracle Activation v1 — assembly line + provenance receipts #659) (feat(agents): Phase 5 Oracle Activation v1 — assembly line + provenance receipts #659)
- Fix scribeFn durationMs to satisfy positive schema (Fix scribeFn durationMs positivity #660)
- feat(chat): Phase 6 Context Pack and Companion Chat v1 (feat(chat): Phase 6 Context Pack and Companion Chat v1 #661)
- feat(chat): Phase 6.5 Companion Chat UI — receipts-first companion interface (feat(chat): Phase 6.5 Companion Chat UI #662)
- feat(arena): Phase 7 Persona Arena v1 — receipts-gated chips + invokePersona lens (feat(arena): Phase 7 Persona Arena v1 (#663) #663)
- chore(prod): Phase 8 Portfolio Prod hardening — auth sweep, Render config, seed, README (chore(prod): Phase 8 Portfolio Prod hardening (#664) #664)
- chore(render): declare S3 env + fix static blueprint runtime
* chore(codex): phase2 enrichment relay task * feat(enrichment): add Phase 2 relay stage
…ifact-registry-v0) (#650) * feat: oracle foundation (MemoryChunk receipts + context-pack-v0 + artifact-registry-v0) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore(specs): remove leading --- from context-pack-v0 and artifact-registry-v0 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
…ext pack (#654) * feat(oracle): wire Atlas $vectorSearch retrieval into reflection context pack Implements Phase 3 of Oracle retrieval (context-pack-v0.md): - In reflectEntryWithContext (already-async layer), embed the entry transcript via generateEmbedding and run MemoryChunk.aggregate with $vectorSearch (index=VECTOR_INDEX_NAME, path=embedding, top-k=5, userId tenancy filter). - Hallucination firewall: only chunks scoring >= 0.72 are mapped into retrievedReceipts ({content, messageIds, score}). - Soft-fail: try/catch around the entire retrieval block; reflection continues unconditionally if Oracle retrieval throws. - buildMCPContext signature unchanged (sealed caller in reflection.worker.js). - 8 new Oracle retrieval tests covering score gating, soft-fail paths, userId filter assertion, and messageIds fallback. All 285 tests pass (5 skipped). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(memory): persist userId tenancy on MemoryChunk ingest * fix(librarian): pass userId to knowledge-store for tenant-scoped chunks --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
…655) * feat(archive): Phase 4A sovereign archive pipeline Implements the full sovereign archive ingestion pipeline for Echo Doj0: - Task 0: MemoryChunk.js schema — adds 5 Phase 4A fields (chunkId, densityScore, sourceRole, supabaseUserId, sourceFileSha256) plus two new indexes: { userId, sourceRole } and { chunkId } unique sparse. - Task 7: TDD test suite (parseChatGptExport, chunkConversations, scoreDensity) — 342 passed, 5 skipped, 0 failed. - Task 1: parseChatGptExport.js — pure fn, user-only (doctrine), SHA-256 textHash, sourceId = chatgpt:{convId}:{msgId}. - Task 2: chunkConversations.js — scene merging ≤4000 chars, deterministic sort (createdAt + messageId tie-break), stable chunkId, MIN_CHUNK_CHARS filter, full provenance on every chunk. - Task 3: scoreDensity.js + applyKeepRatio — density scoring with length/unique/sentence factors; keepRatio slice with tie-break sort. - Task 4: embedAndStore.js — library module (no dotenv), concurrency-5 worker pool, 3-attempt retry with exponential backoff, upsert on { chunkId } for true idempotency. - Task 5: importChatGptExport.js — CLI entrypoint; normalizes array or {conversations:[]} export shapes; dryRun + quarantineOut modes; dynamic import of embedAndStore to avoid ESM hoisting / openai init race with dotenv. - Task 6: validateRetrieval.js — CLI smoke test; Atlas $vectorSearch with userId filter; prints receipts with score ≥ 0.72. ESM dotenv fix: config/openai.js evaluates OPENAI_API_KEY at module load time. CLI entrypoints use dynamic import() for OpenAI-dependent modules so dotenv.config() runs first in the module body. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(archive): hard-split oversized chunks Add splitMessage() with layered split strategy (paragraph → sentence → hard-slice) so every output chunk satisfies content.length <= MAX_CHUNK_CHARS. Single messages larger than MAX_CHUNK_CHARS (e.g. the 54 595-char quarantine case) are expanded into sub-parts before the scene-merging loop, closing the bypass that occurred when buffer was empty. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(archive): --dir batch ingestion + manifest + resume Add --dir batch mode to importChatGptExport.js: - Glob conversations-*.json in target dir (lexical, no recursion) - Process shards sequentially, never in parallel - Write JSONL manifest entry per file (APPEND, never overwrite): {file, sourceFileSha256, startedAt, endedAt, parsedCount, chunkedCount, promotedCount, storedCount, skippedCount, errorCount, status, error} - --resume=true: skip paths already status=success in manifest, logging "⏭️ Skipping (already success): <file>" - File-level failures write failed entry and continue; never abort - --quarantineOut APPENDs across all shards (unified JSONL) - Prints summary: ✅ Completed | ⏭️ Skipped | ❌ Failed | 💾 Total - Default manifestOut: ./.backup/import_manifest.jsonl - --file and --dir are mutually exclusive → hard error if both - Single-file mode (--file) unchanged; no manifest written Dry-run verified: 16 shards, 1855 promoted chunks, 0 errors Live import: 143 chunks stored, all manifest entries success Atlas: max content 4000 chars, 0 oversized Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore(deps): update package manifest and lockfile for archive pipeline Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
…ce receipts (#659) (#659) Replace all 4 agent fn stubs with real implementations: - scribeFn: Whisper transcription + SHA-256 provenance anchor - enrichmentFn: GPT-4o-mini extraction (Mirror not Oracle) - reflectionFn: Assembly line (extract → validate → compare → generate) - archivistFn: MongoDB write with full provenance trail Add 4 pipeline stages (server/src/agents/pipeline/): - extractStage: embed transcript via text-embedding-3-small - validateStage: Atlas $vectorSearch with userId tenancy + score >= 0.72 - compareStage: SHA-256 integrity check, drops tampered chunks - generateStage: GPT-4o-mini reflection grounded in receipt chunks Upgrade ReflectionOutput to z.discriminatedUnion on receiptStatus: - Path A (receipts_found): grounded reflection + content guard + orbXp - Path B (no_receipts_available): present-tense only, orbXp=0 Content guard enforces provenance: historical claims must match receipt quote field or throw INVALID_OUTPUT. Hash integrity drops mismatched chunks with sanitized warnings (no user content in logs). 425 passed, 0 failed, 5 skipped (31 new tests). Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
* feat(chat): Phase 6 Context Pack and Companion Chat v1 - 4 new Mongoose models: ChatSession, ChatMessage, ContextSnapshot, ContextPack - Retrieval adapter maps chat domain to Phase 5 pipeline (text → transcript) - Companion Chat: gpt-4o-mini, temperature 0, receipts-or-silence prompts - Context Pack: cryptographically anchored save state (seedHash, not seedText) - GraphQL mutations/queries in main tree (server/graphql/), not agent tree - ContextSnapshot audit trail for every chat response and context pack - 18 new test assertions across 3 test files (445 total passing, 0 regressions) - Zero Entry modifications — chat is a separate domain - Tenancy filter (userId) enforced on all vector queries via sealed pipeline Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix(chat): merge typedefs + verify jwt + mutation context pack --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
…terface (#662) Adds the client-side companion chat UI that calls the Phase 6 GraphQL surface (companionChat, buildContextPack, getContextPack). Receipt status badges distinguish grounded vs present-moment responses. The ReceiptsDrawer renders verified user quotes with truncated textHash and sourceEntryId — no AI-generated text inside the drawer. New components: CompanionChat, ChatMessage, ChatInput, ReceiptsDrawer, ContextPackPanel, ChatPage. Route at /companion with sidebar nav link. 7 frontend test cases covering optimistic render, mutation shape, receipt badge paths, drawer content, and sessionId persistence. No server files modified. Backend: 445 passed, 0 failed. Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
…Persona lens (#663) Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
…nfig, seed, README (#664) Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
AuditAudit artifacts not found. SchemaNo drift detected ✅ CodexNo Codex outputs yet. |
![chatgpt-codex-connector[bot]](https://avatars.githubusercontent.com/in/1144995?s=60&v=4){kind=small}
There was a problem hiding this comment.
💡 Codex Review
Here are some automated review suggestions for this pull request.
Reviewed commit: 3b43082bd8
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".
Comment on lines
+37
to
+38
| const { data } = await companionChat({ | ||
| variables: { sessionId, message: text }, |
There was a problem hiding this comment.
This mutation is invoked without any Authorization header/context, but the new server resolver path requires a verified JWT and throws Authentication required when token is empty (server/graphql/resolvers/chat.js getUserIdFromContext). With the current Apollo setup only static headers are sent, so /companion requests will fail for normal browser sessions unless the token is explicitly attached per request (the same pattern appears in ContextPackPanel and ArenaPortal).
Useful? React with 👍 / 👎.
| if (!entryId) return; | ||
|
|
||
| try { | ||
| await createEnrichmentTask(entryId); |
There was a problem hiding this comment.
The scribe completion listener now enqueues enrichment instead of reflection, and reflection is only enqueued from enrichment worker events; in the standard server startup path (server/index.js) only scribe/reflection workers are attached, so when running queue mode without a separately started enrichment runner, entries stop progressing after scribe completion. This creates a pipeline dead-end for that deployment mode.
Useful? React with 👍 / 👎.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.