feat(chat): Phase 6 Context Pack and Companion Chat v1#661
Merged
Conversation
- 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>
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: d60fcf98af
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".
server/graphql/resolvers/chat.js
Outdated
|
|
||
| const chatResolvers = { | ||
| Query: { | ||
| buildContextPack: async (_, { seedText }, context) => { |
There was a problem hiding this comment.
buildContextPack is registered under Query but it writes new ContextSnapshot and ContextPack records, so repeated query execution (client retries, cache revalidation, or GET-based query execution) will create unintended duplicate persisted state. This operation should be a Mutation to preserve GraphQL semantics for side-effecting behavior.
Useful? React with 👍 / 👎.
Merged
wileland
added a commit
that referenced
this pull request
Mar 4, 2026
* feat(enrichment): add Phase 2 enrichment relay stage (#648) * chore(codex): phase2 enrichment relay task * feat(enrichment): add Phase 2 relay stage * fix(enrichment): allow retries; fail only on final attempt (#649) * feat: oracle foundation (MemoryChunk receipts + context-pack-v0 + artifact-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> * chore(docs): mark legacy FAISS vector index; clarify Atlas is canonical (#651) * feat: wire enrichmentData into reflection prompt (phase 3 track A) (#652) Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> * chore(docs): clarify enrichment terminal semantics in isUpstreamReady (#653) * feat(oracle): wire Atlas $vectorSearch retrieval into reflection context 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> * feat(archive): Phase 4A sovereign archive + batch ingestion pipeline (#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> * feat(agents): phase 4.5 agent runner + inline pipeline mode (#656) Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> * Fix inline createScribeTask to return AgentTask contract (#657) * Mark inline SCRIBE task completed on pipeline success (#658) * feat(agents): Phase 5 Oracle Activation v1 — assembly line + provenance 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> * Fix scribeFn durationMs to satisfy positive schema (#660) * feat(chat): Phase 6 Context Pack and Companion Chat v1 (#661) * 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> * feat(chat): Phase 6.5 Companion Chat UI — receipts-first companion interface (#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> * feat(arena): Phase 7 Persona Arena v1 — receipts-gated chips + invokePersona lens (#663) Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> * chore(prod): Phase 8 Portfolio Prod hardening — auth sweep, Render config, seed, README (#664) Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com> * chore(render): declare S3 env + fix static blueprint runtime * chore(render): add canonical S3 bucket env aliases --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
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.
Summary
text → transcript)Test plan
pnpm -C server test)text → transcriptbefore callingextractStagequote,textHash,sourceEntryId)seedHashstored in ContextPack (not rawseedText)temperature: 0on all callsgit diff --name-onlyshows ONLY files in repo scope (14 files)🤖 Generated with Claude Code