Second, deeper pass over tools/gateway/hermes_cli plus first pass over
the trees wave 1 missed (acp, acp_adapter, skills, computer_use, docker,
dashboard, conformance, monitoring, secret_sources, hermes_state,
providers). Same rubric as wave 1 (AGENTS.md test policy); security,
alternation/caching invariants, issue-number regressions, and E2E kept.
Real test-quality fixes found and rooted out along the way:
- tests/tools/test_command_guards.py made real auxiliary-LLM HTTPS calls
(DEFAULT_CONFIG smart-approval leaked in) — pinned approval
mode=manual via autouse fixture: 17.4s → 0.4s.
- test_model_switch_custom_providers.py / test_user_providers_model_switch.py
silently probed live provider catalogs (~2s/test) — stubbed
cached_provider_model_ids/provider_model_ids/fetch_api_models.
- test_telegram_noise_filter.py: 15-platform copy-paste matrix over
shared gateway.run logic → 3 representative platforms (55s → 3.9s).
- test_gateway_shutdown.py: stop()'s 5s interrupt-deadline loop spun on
MagicMock agents — interrupt.side_effect now clears _running_agents
(22s → 1.0s).
- test_gateway_inactivity_timeout.py poll-harness timings shrunk 3-5x
(24s → 1.1s); test_mcp_stability.py backoff/SIGTERM-grace sleeps
patched (15.4s → 2.5s); test_async_delegation.py negative-drain wait
5s → 0.5s.
- test_telegram_init_deadline.py: loop-block margin restored to 1.0s
with rationale comment — the watchdog-dump assertion needs the loop
blocked well past deadline+grace under parallel load (flaked once in
the 40-worker verification run at a 0.2s margin).
Verification: full hermetic suite via scripts/run_tests.sh —
2,438 files, 21,718 tests passed, 0 failed, 293.9s wall.
Suite totals vs original baseline: 46,820 → 19,757 test functions
(−57.8%), wall 583.5s → 293.9s (−50%), subprocess CPU 13,564s → 11,623s.
The 7 consolidated provider families (OpenAI, xAI Grok, GitHub Copilot,
Google Gemini, Kimi / Moonshot, MiniMax, OpenCode) collapse to one
top-level picker row. Previously that row showed only the bare group
label (e.g. `OpenAI ▸`); now it carries a short blurb describing the
endpoints folded inside (e.g. `OpenAI ▸ (Codex CLI or direct OpenAI API)`).
- models.py: extend PROVIDER_GROUPS tuples to (label, description, members);
group_providers() emits the description on group rows.
- main.py: CLI picker renders `<label> ▸ (<description>)` for group rows.
- telegram.py: update the group tuple unpack (button text keeps the member
count, which fits inline keyboards better than a long blurb).
- tests: assert every group has a non-empty description and the fold emits it.
Member-specific detail still lives in each member's tui_desc and shows in
the drill-down sub-picker. Slug identity, --provider, /model paths unchanged.
* Inspired by Claude Code: /compress here [N] — boundary-aware 'summarize up to here'
Adds a user-chosen compression boundary to the existing /compress command.
/compress here [N] summarizes everything except the most recent N exchanges
(default 2), which are preserved verbatim — letting the user pick the
compression boundary instead of relying on the automatic token-budget heuristic.
Inspired by Claude Code's Rewind 'Summarize up to here' action (v2.1.139,
Week 20, May 2026): https://code.claude.com/docs/en/whats-new/2026-w20
- hermes_cli/partial_compress.py: pure split/parse helpers + seam-alternation
guard (shared by CLI and gateway).
- cli.py / gateway/run.py: route 'here [N]' / '--keep N' to partial compression;
compress only the head, re-append the verbatim tail through the seam guard.
- Preserves message-flow role alternation (seam guard merges any illegal
user->user / assistant->assistant adjacency).
- Reuses the existing _compress_context session-rotation/lock machinery — no
changes to the compression core.
- Bare /compress (full) and /compress <focus> behavior unchanged.
Tests: 12 helper unit tests + 5 CLI integration tests + E2E (interleaved
tool-call transcript, degenerate/multimodal seams, real handler path).
* feat(model-picker): group multi-endpoint providers under one row
The interactive provider pickers (hermes model, setup wizard, Telegram
/model) listed every provider slug flat, so vendors with several endpoints
(Kimi/Moonshot, MiniMax, xAI Grok, Google Gemini, OpenAI, OpenCode, GitHub
Copilot) each occupied multiple top-level rows. Now related slugs fold into
one top-level row that drills down to the specific endpoint.
- models.py: add PROVIDER_GROUPS table + group_providers() fold (display
only — CANONICAL_PROVIDERS, slugs, --provider, /model <provider:model>
all unchanged and individually addressable).
- hermes model (main.py): group rows drill into a member sub-picker, then
dispatch to the existing _model_flow_* unchanged. setup wizard inherits it.
- Telegram /model: new mpg:<group> callback expands to member mp:<slug>
buttons; single authenticated member degrades to a direct button.
- Grouping is the single shared fold across all three surfaces.
Validation: 163 targeted tests pass; E2E confirms group->member->model
resolves to the correct concrete slug for all families.
