Adds graph schema prerequisite plus research-eval schema/docs/tests for Leo tool-use benchmarks and x402 research telemetry. Validated by full local pytest and green CI.
* Wire Leo Telegram x402 smart research
* Suppress token-bearing Telegram HTTP logs
* Keep Telegram typing visible during Leo proxy calls
* Allow Leo Telegram social research spend cap
* Route contextual Leo research prompts to smart research
* Generalize Leo smart research intent routing
* Resume Leo smart research from paid work orders
- Encode transcript requirements for model discovery and Pentagon boundary
- Add KB read/propose skill for Hermes, OpenClaw, and Claude-style agents
- Extend LLM contract checks; verify with 422-test suite
`.agents/skills/living-ip-kb-interop/SKILL.md`
`.agents/skills/nousresearch-hermes-agent/SKILL.md`
`.agents/skills/openclaw-agent/SKILL.md`
`docs/llm-refinement-decision-engine.md`
`scripts/check_llm_refinement_contract.py`
- Define Rio and Theseus as economics and model-integrity evaluators
- Add DB, Hermes, and OpenClaw skills with no-secret defaults
- Gate CI on LLM refinement contracts; verify with 422-test suite
`.agents/skills/decision-engine-refinement/SKILL.md`
`.agents/skills/nousresearch-hermes-agent/SKILL.md`
`.agents/skills/openclaw-agent/SKILL.md`
`.agents/skills/teleo-db-operator/SKILL.md`
`.crabbox.yaml`
`.github/workflows/ci.yml`
`docs/llm-refinement-decision-engine.md`
`scripts/check_llm_refinement_contract.py`
Phase 1 Step 3 — migrate research-session.sh and pipeline-health-check.py off Forgejo onto GitHub living-ip/decision-engine. eval-dispatcher.sh / eval-worker.sh documented as dead code (replaced by daemon).
Previously _github_pr_url() only returned a URL when prs.github_pr was
populated. That field is set on only 3 of 4094 merged PRs (the rare cases
mirrored to the public GitHub repo), so pr_url was null for ~100% of the
feed. The frontend whole-row PR overlay (livingip-web PR #30) renders
only when pr_url is non-null, so until now no rows had the overlay.
Pipeline-attributed events (reweave/*, ingestion/*) are the most visible
victim: their /contributors/pipeline link lands on a sparse stub, with
no way to reach the actual commit/PR they refer to.
Fix: rename _github_pr_url -> _pr_url and fall back to the canonical
Forgejo URL (git.livingip.xyz/teleo/teleo-codex/pulls/{number}) when no
GitHub mirror exists. Verified 200 OK against a sample (#10568). GitHub
URL still wins when available.
Result: 1972/1972 events in _build_events now carry a pr_url. Whole-row
overlay starts working for everything including pipeline events.
reweave.py and ingestion run as the operator Forgejo token, so the prior
opener-based classifier set submitted_by=m3taversal for every system
maintenance PR. backfill_submitted_by.py never overrides non-NULL rows,
so this misattribution accumulated: ~2,748 reweave/ingestion PRs and
~3,706 <agent>/ research/entity PRs were credited to the operator on
the leaderboard and contribution_events table.
Two parts:
1. lib/merge.py: at PR discovery, classify by branch prefix first.
reweave/, ingestion/ -> submitted_by = 'pipeline'
<agent>/ (per _AGENT_NAMES) -> submitted_by = '<agent>'
otherwise human -> submitted_by = author.lower()
otherwise pipeline -> submitted_by = None
(extract.py sets from proposed_by)
Origin flag updated so domain detection and priority still fire for
branch-classified pipeline PRs. Human PRs lowercased to maintain the
canonical-handle contract enforced in PR #9.
2. scripts/reattribute-by-branch-prefix.py: historical cleanup.
Per affected PR (atomic):
- UPDATE prs.submitted_by -> target
- UPDATE sources.submitted_by where source_path matches
- UPDATE contribution_events handle ('m3taversal',role='author')
-> target, kind='agent'. Collision (target already has author
event for PR) deletes the m3ta row; target wins.
Scope is deliberately conservative: extract/ branches stay attributed
to m3taversal because proposed_by-missing legitimately defaults to the
operator (telegram drops). Only reweave/, ingestion/, and <agent>/.
Dry-run shows 6,454 PRs + 284 events to move. Pre-flight collision
query returns 0; pre-flight kind check confirms m3ta has only role=author
events on this set (no challenger/synthesizer/evaluator).
Idempotent. Dry-run by default. Run with --apply after deploy + DB
snapshot.
Companion / write-side fix to fix/activity-feed-canonical-handle.
The activity-feed canonicalization was a read-side guard. The bug at the
source is that extract.py and two backfill scripts write decorated
strings (Vida (self-directed), pipeline (reweave), @m3taversal) into
prs.submitted_by and sources.submitted_by. Downstream readers
(lib.contributor.insert_contribution_event, scripts/scoring_digest,
diagnostics/activity_feed_api) all strip the decorator on read — but
anything that reads the column verbatim (like /api/activity-feed before
the read-side fix) 404s on /contributors/{decorated-handle}.
Stop writing the decorator. The self-directed signal is already carried
by intake_tier == research-task plus the prs.agent column; the suffix
is redundant string noise that costs us correctness at every consumer
that forgets to strip.
Changes:
- lib/extract.py:690 — write canonical handle via attribution.normalize_handle.
Direct elif for intake_tier == research-task now stores just agent_name.
@m3taversal -> m3taversal.
- diagnostics/backfill_submitted_by.py — same fix in two branches plus
the reweave branch (pipeline (reweave) -> pipeline).
- scripts/backfill-research-session-attribution.py — UPDATE prs sets
agent handle alone, no suffix. Docstring + log line updated.
- scripts/normalize-submitted-by.py (new) — one-time backfill that
canonicalizes existing prs.submitted_by and sources.submitted_by rows.
Strips trailing parenthetical decorators, lowercases, drops @. Defaults
to dry-run; --apply to commit. Skips rows that would normalize to
invalid handles (no garbage falls through silently).
Dry-run against live pipeline.db:
prs: 3008 rows need normalization (clean mappings, 0 invalid)
sources: 730 rows need normalization (clean mappings, 0 invalid)
Total: 3738 rows. All map to existing handle column values.
After this lands + auto-deploys, the operator should run
python3 scripts/normalize-submitted-by.py --apply
once to clean historical rows. The read-side canonicalization in
diagnostics/activity_feed_api.py (fix/activity-feed-canonical-handle)
becomes redundant defense-in-depth instead of load-bearing.
No KB writes.
