Files
hermes-agent/hermes_cli/local_runtime/capabilities.py
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emozilla 43e67d872f feat: local models — managed llama.cpp runtime with one-click desktop setup
Run models locally as a first-class provider. The CLI grows a managed
llama.cpp runtime (engine install, model download, server supervision);
the desktop app grows the full setup and management story on top of it.
GUI surfaces ship behind the desktop --local launch flag (hermes desktop
--local, or the flag on the packaged app); backend routes and the CLI
are always live.

Runtime (hermes_cli/local_runtime/):
- curated GGUF catalog with per-machine variant selection: hardware
  probe (VRAM/RAM/UMA), fit planning with spill accounting, quant choice
  by context window
- derived recommendation: quality-ranked picks gated by a predicted
  decode-speed floor, bandwidth-aware on unified memory; the decision
  table is pinned as a test (pick AND reason per memory class), and the
  Recommended badge explains its pick in a tooltip fed by the resolver's
  actual branch
- engine install + model download with resumable split parts, cumulative
  plan-level progress, and staged-model integrity (a split GGUF counts
  only when every part is present)
- server supervision: spawn/adopt/stop, router mode with per-model load
  progress relayed over SSE, abandoned-request cleanup

Desktop:
- Settings -> Providers -> Local models: one-click quickstart (install
  engine, download the recommended model, boot) plus per-model download/
  activate/eject, fit-ranked catalog with context pills
- model pickers (composer dropdown + Cmd+K) show staged local models,
  in-flight downloads as live progress rows, and load-into-memory bars
- local-setup campaign tip for eligible hardware; System resources
  statusbar widget (GPU/VRAM/RAM); in-chat load progress during sends
- friendly dead-server errors, and failed agent builds retry on the next
  send instead of wedging the session

Co-developed with NVIDIA field feedback on RTX 5090 and DGX Spark.
2026-09-01 16:01:53 -04:00

119 lines
4.5 KiB
Python

"""Capability answers for models served by the managed runtime.
Capability lookups (vision, and whatever comes next) consult cloud-shaped
catalogs that have never heard of a local GGUF, so a vision-capable local
model reads as text-only and images detour to an auxiliary cloud model —
the wrong behavior twice over for a local-first user (broken feature, and
a screenshot silently leaving the machine).
The managed runtime can answer from ground truth instead, best source
first:
1. The RUNNING child's /props: llama-server reports a ``modalities`` block
when a vision projector is loaded. The server that will receive the
image says whether it can see — no inference, no catalog.
2. The catalog entry's declared capability (the ``vision`` tag + mmproj
asset) for staged-but-unloaded models: what the model WILL support once
its projector loads beside it.
3. None — not one of ours, or nothing known; the caller falls through to
its other sources.
"""
from __future__ import annotations
import json
import logging
import urllib.request
logger = logging.getLogger(__name__)
_LLAMACPP_ALIASES = frozenset({"llamacpp", "llama.cpp", "llama-cpp"})
# Image formats the managed server's decoder actually handles. llama.cpp
# decodes with stb_image: PNG/JPEG/GIF/BMP yes, WebP NO — and a WebP part
# fails SILENTLY (no HTTP error, no log line; the model just never sees an
# image and confabulates a description). Anything outside this set must be
# transcoded before the request. Measured against the live server: the
# same red square answered 'Red' as PNG and 'Unseen' as WebP.
ACCEPTED_IMAGE_MIMES = frozenset({"image/png", "image/jpeg"})
def is_managed_provider(provider: str, base_url: str = "") -> bool:
"""True when this provider/base_url pair points at the managed server.
``custom`` only counts when the base_url IS the managed endpoint —
background lookups must never claim someone else's custom server."""
p = (provider or "").strip().lower()
if p in _LLAMACPP_ALIASES:
return True
if p == "custom" and base_url:
try:
from hermes_cli.local_runtime.growth import is_managed_endpoint
return is_managed_endpoint(base_url)
except Exception: # noqa: BLE001
return False
return False
def _props_modalities(model_id: str) -> "bool | None":
"""Ask the running server whether this loaded child sees images.
None when the server is down, the model isn't loaded, or the build
doesn't report modalities."""
try:
from hermes_cli.local_runtime.endpoint import _state_endpoint
state = _state_endpoint()
if state is None:
return None
base = state["base_url"].rsplit("/v1", 1)[0]
req = urllib.request.Request(
f"{base}/props?model={model_id}",
headers={"Authorization": f"Bearer {state.get('api_key', '')}"})
with urllib.request.urlopen(req, timeout=3) as r:
props = json.load(r)
modalities = props.get("modalities")
if isinstance(modalities, dict) and "vision" in modalities:
return bool(modalities["vision"])
return None
except Exception: # noqa: BLE001
return None
def managed_model_supports_vision(model_id: str) -> "bool | None":
"""Ground-truth vision capability for a staged model, or None when the
model isn't ours / nothing is known (caller keeps falling through)."""
if not model_id:
return None
# Only answer for models actually staged with us.
try:
from hermes_cli.local_runtime.bootstrap import staged_model_ids
if model_id not in staged_model_ids():
return None
except Exception: # noqa: BLE001
return None
live = _props_modalities(model_id)
if live is not None:
return live
# Staged but not loaded (or an older server build): the catalog knows
# whether this model ships a vision projector.
try:
from hermes_cli.local_runtime.bootstrap import assets_dir
from hermes_cli.local_runtime.catalog import find_entry_for_model
hit = find_entry_for_model(model_id)
if hit is None:
return None
entry = hit[0]
if entry.mmproj is None:
return False
# Capability requires the projector to actually be on disk — a
# model downloaded before its mmproj (partial delete, old layout)
# genuinely cannot see.
return (assets_dir() / entry.mmproj.local_name).exists()
except Exception: # noqa: BLE001
return None