Also fixes _is_entity path check to use Path.parts instead of string
containment, preventing false positives on paths like "domains/entities-overview/".
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Ganymede review cleanup — duplicate by_chat block was already resolved
during consolidation, this removes the leftover cosmetic blank line.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Root cause: _group_into_windows never checked time gaps or chat_id.
All messages went into one stream, capped at 10 per window. 120 msgs
from one chat → 12 windows → 12 source files → 12 extraction branches.
Fix:
- Group by chat_id first (different chats = different windows always)
- Split on actual time gaps (>window_seconds between messages)
- Cap at 50 messages per window (not 10)
- Consolidate substantive windows from same chat into one source file
at triage time (one source per chat per triage cycle)
6 tests in tests/test_tg_batching.py.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Atomic extract-and-connect (lib/connect.py):
- After extraction writes claim files, each new claim is embedded via
OpenRouter, searched against Qdrant, and top-5 neighbors (cosine > 0.55)
are added as `related` edges in the claim's frontmatter
- Edges written on NEW claim only — avoids merge conflicts
- Cross-domain connections enabled, non-fatal on Qdrant failure
- Wired into openrouter-extract-v2.py post-extraction step
Stale PR monitor (lib/stale_pr.py):
- Every watchdog cycle checks open extract/* PRs
- If open >30 min AND 0 claim files → auto-close with comment
- After 2 stale closures → marks source as extraction_failed
- Wired into watchdog.py as check #6
Response audit system:
- response_audit table (migration v8), persistent audit conn in bot.py
- 90-day retention cleanup, tool_calls JSON column
- Confidence tag stripping, systemd ReadWritePaths for pipeline.db
Supporting infrastructure:
- reweave.py: nightly edge reconnection for orphan claims
- reconcile-sources.py: source status reconciliation
- backfill-domains.py: domain classification backfill
- ops/reconcile-source-status.sh: operational reconciliation script
- Attribution improvements, post-extract enrichments, merge improvements
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
1. Author handle map: known X accounts (MetaDAO, Anthropic, SpaceX etc.)
count as 1 keyword match toward domain routing threshold. Lightweight,
no URL parsing.
2. Conversation archives now write to conversations/ subdir instead of
top-level staging dir. The cron only moves top-level *.md to queue,
so conversations never enter the extraction pipeline. Skip happens
at write time, not at batch-extract read time — eliminates wasted I/O
every 15 minutes.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Each dump was rewriting the full accumulated history — growing unbounded.
Now: append-only JSONL (one line per message), only new entries since
last dump. One file per chat per day. No dedup needed downstream.
Also verified ARCHIVE_DIR path is correct (staging dir, not worktree).
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Transcript system:
- All messages in all chats captured to chat_transcripts store
- 1-hour dump job writes per-chat JSON to /opt/teleo-eval/transcripts/
- Includes internal reasoning (KB matches, searches, learnings)
- Transcripts accumulate over session (no clear on dump)
- Per-chat directories: transcripts/{chat-slug}/{date-hour}.json
Inline contribution tags:
- SOURCE: creates inbox source file with verbatim user content
- CLAIM: creates draft claim file attributed to contributor
- Both strip tag from displayed response
- Full user message preserved verbatim (Rio decides context, can't alter)
Also: multi-URL processing (up to 5 per message)
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
When a user shared two X links in one message (sjdedic + knimkar),
only the first got a standalone source. Now processes up to 5 URLs
per message, each getting its own standalone source file.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
When Opus triggers RESEARCH: tag, the search ran silently and archived
results but never sent a follow-up. User saw "let me look into it" then
nothing. Now: searches, sends concise summary of top 5 results back to
the chat, then archives for pipeline.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Bot crashed with "Message is too long" when sending full DP-00002 text
(8K+ chars). Now splits on paragraph boundaries. Also prevents silent
message drops from unhandled BadRequest exceptions.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Bot said "I don't have the ability to run live X searches" despite Haiku
finding 10 tweets. Two issues: (1) prompt section header didn't make clear
these were LIVE results, (2) learnings taught deflection ("say drop links
here" instead of acknowledging search capability).
Fixed: section header now says "LIVE X Search Results (you just searched
for X — cite these directly)". Learnings updated to acknowledge search
capability. Stale Robin Hanson learning removed again (re-synced from git).
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
User asked for full DP-00002 text, bot served it but cut off at 2000 chars
with "That's where my copy cuts off." Full proposals are 6K+. Increased
index, sanitize, and prompt caps to 8K for decision records.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
- Distinguish tweets (source_type: x-tweet, format: social-media) from
articles (source_type: x-article, format: article) based on content
length and article marker presence
- 500ms delay between fetch_from_url calls in research path
- Keep standalone sources pure (no Rio analysis — circular dependency)
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Two fixes for article ingestion:
1. Research path: top 5 search results now get full content via
fetch_from_url before archiving. Articles get full text, not just
search snippets. Threads get complete text.
2. URL sharing: when a user shares a URL, creates a standalone source
file (type: source, format: article) separate from the conversation
archive. Enters extraction pipeline as proper source material,
attributed to the TG user who shared it.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Group chats with 3 users contributing 2 messages each = 6 exchanges,
exceeding the old shared cap of 5. Chat-level now holds 10 exchanges
(~2K extra tokens, within prompt budget).
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
History was keyed by (chat_id, user_id). In group chats, when Jordan
asked about Solomon buyback and Cory followed up, the bot couldn't see
Jordan's exchange. Now maintains chat-level history (chat_id, 0) that
captures all exchanges with usernames. Group context visible to all
follow-up responses.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
_fetch_url_content was doing raw HTTP GET on X URLs which returns
JavaScript, not article content. Now routes X/Twitter URLs through
Ben's API via x_client.fetch_from_url which returns structured
article content (contents[] array with typed blocks).
Article content gets included in the archived source file so the
extraction pipeline has the actual content, not just Rio's response.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Stale learning ("I don't have Robin Hanson data") overrode real KB data.
Ganymede review: dated entries expire after 7 days. Permanent entries
(communication style, identity) are undated and always included.
Prompt guard: "NEVER save a learning about what data you do or don't have"
prevents the bot from writing availability claims that go stale.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
When two related entities match (advisor hire + research grant), both need
full content so Opus can distinguish them and serve the right one.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
'the', 'full', 'text', 'proposal' etc. were matching irrelevant entities.
Robin Hanson record ranked #2 behind Drift because Drift matched 'the' and
'proposal' in its name. Now only meaningful tokens (>=3 chars, not stop
words) contribute to entity scoring.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Before: "Robin Hanson MetaDAO proposal" returned 34 entities (39K chars)
with the target record buried at position 13. No relevance scoring.
After: entities scored by query token overlap (name 3x, alias 1x,
bigram 5x), limited to top 5 results. Decision records get full body
(2K chars) instead of 500-char truncation. Top result gets 2K in prompt,
rest get 500.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
MetaDAO queries now surface MetaDAO's decision records because
parent_entity: "[[metadao]]" is stripped and added to the alias set.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Root cause: decision records have type: decision, but the entity indexer
only accepted type: entity and only scanned entities/. The claim indexer
scanned decisions/ but filtered out non-claim types. Result: decision
records fell through both indexes entirely — invisible to the bot.
Fix: add decisions/ to entity indexer scan paths, accept type: decision
alongside type: entity, include summary/proposer in search aliases.
Remove decisions/ from claim indexer (was silently dropping them anyway).
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
1. handle_research gets silent=True param. RESEARCH: tag triggers use
silent mode — archives tweets but posts no follow-up message.
Prevents "Queued N tweets" after Opus already responded.
2. KB retrieval now searches decisions/ directory alongside domains/,
core/, foundations/. Decision records (Robin Hanson proposal, etc.)
are now findable by the bot.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Article endpoint returns body in "contents" array of typed blocks
(unstyled, header-two, markdown, list-item, blockquote, etc).
Was looking for article.text which is empty. Now parses all block types
into readable text. Also extracts engagement stats (likes, views).
Fixes: "Claude + Obsidian" article returned title but empty text.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Primary path: GET /twitter/tweets?tweet_ids={id} — works for any tweet,
any age, returns full content. Replaces the fragile from:username search
pagination fallback.
Fallback: article endpoint for X long-form articles.
Last resort: placeholder with [Could not fetch] message.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Major changes this session:
- fetch_tweet_by_url: extracts username+ID from X URLs, tries article endpoint,
falls back to from:username search. Tweets injected into Opus prompt.
- Haiku pre-pass: decides if X search needed before Opus responds. 2-3 word queries.
- systemd ProtectSystem paths fixed (ROOT CAUSE of all write failures since day 1)
- Research regex handles Telegram @botname suffix in groups
- Double research message prevented (skip RESEARCH: tag when Haiku already ran)
- Engagement filter dropped to 0 for niche crypto tweets
- Heuristic brevity in prompt (not hard cap)
- DM auto-respond gating (groups: reply-to only, DMs: auto-respond)
- All code now edited in pipeline-v2 repo, not /tmp
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
- Skip RESEARCH: tag when Haiku pre-pass already searched (no double-fire)
- Haiku told to use 2-3 word queries (was generating 6+ word queries that returned 0)
- Engagement filter dropped to 0 (niche crypto tweets have low engagement)
- systemd ProtectSystem paths fixed (root cause of ALL write failures)
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Before Opus responds, Haiku evaluates: "Does this message need an X search?"
If YES, searches X, injects results into Opus prompt, archives as source.
Opus responds with KB knowledge + fresh tweet data combined.
Flow: user asks naturally ("what are people saying about P2P?") → Haiku
decides search needed → X search → results in Opus context → unified response.
~1s latency, ~$0.001 cost per message. Only fires when Haiku says YES.
Explicit /research command still works as direct path.
Also: fixed systemd ProtectSystem paths (Ganymede: root cause of all
write failures). Fixed research regex for Telegram group commands.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Replaced hard rules with judgment heuristics:
- "Does every sentence add something the user doesn't already know?"
- "Earn every paragraph — each needs a distinct insight"
- "Short questions deserve short answers"
Restored max_tokens to 1024. Agent decides length, not a token cap.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
1. Response length: "BREVITY IS YOUR DEFAULT. Most responses 1-3 sentences.
A 4-paragraph response to a simple question is a failure."
max_tokens cut from 1024 to 512.
2. Research trigger: removed natural language regex (caused false positive
on "has accumulated" matching "search"). Only explicit /research command.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Option A: history only contains actual bot-user exchanges, not unaddressed
group messages. Empty bot responses in history confused the model.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Opus decides what to learn. Prompt instructs: append LEARNING: [category] [description]
at end of response when genuinely learning something new. Bot parses the line,
strips it from displayed response, calls _save_learning() to persist.
Zero additional API calls (Rhea's design). The model already has full context.
Categories: factual, communication, structured_data.
Most responses have no LEARNING line — only fires on genuine corrections.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
1. Conversation history now shows compressed context summary first
(tickers, key figures, exchange count) before full log.
"Discussing: $FUTARDIO | Key figures: $0.004, $39.5K | Exchanges: 3"
20 tokens, unmissable. Plus prompt instruction: "NEVER ask a question
your history already answers." (Ganymede: Option C+A)
2. Archive file writes decoupled from worktree lock. File written
unlocked (additive, no coordination needed). Git commit attempted
with lock — deferred on timeout, file persists on disk for next cycle.
Fixes "Read-only file system" archive failures. (Ganymede review)
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Auto-respond stripped from conversation window. Bot only responds to @tag
and reply-to-bot. Window now silently tracks messages for context — when
the user does reply, the bot has full conversation history.
Also: prompt shortened to "1-2 sentences" default. "Do NOT respond to
messages that aren't directed at you."
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
User says "@FutAIrdBot /research P2P.me launch" → bot searches X via twitterapi.io
→ archives all tweets as ONE consolidated source file in inbox/queue/ → batch extract
picks up → claims land in KB.
Features (Ganymede+Rhea+Leo+Rio consensus):
- Regex + natural language intent detection (not CommandHandler)
- One source file per research query (not per-tweet)
- Full tweet metadata: author, followers, engagement, date
- Contributor attribution: proposed_by + contribution_type: research-direction
- Rate limit: 3 searches per user per day
- Min engagement filter (3 interactions)
- Worktree lock on source file write
Phase 2 (not built): domain alignment check before searching.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Learnings file content now passes through sanitize_message() before injection
into the Opus prompt. Prevents prompt injection via crafted "corrections."
Rio UUID 5551F5AF confirmed as current Teleo v4 Rio.
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
Option D (Rhea+Rio+Leo consensus):
- _load_learnings(): reads agents/rio/learnings.md, injects into prompt before KB context
- _save_learning(): appends correction to learnings.md via worktree lock + direct commit
- Learnings prioritized over KB data when they conflict
- Three categories: communication, factual, structured_data
- Prompt updated: tells agent it can save corrections for future conversations
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
