feat(aux): use Portal /api/nous/recommended-models for auxiliary models
Wire the auxiliary client (compaction, vision, session search, web extract)
to the Nous Portal's curated recommended-models endpoint when running on
Nous Portal, with a TTL-cached fetch that mirrors how we pull /models for
pricing.
hermes_cli/models.py
- fetch_nous_recommended_models(portal_base_url, force_refresh=False)
10-minute TTL cache, keyed per portal URL (staging vs prod don't
collide). Public endpoint, no auth required. Returns {} on any
failure so callers always get a dict.
- get_nous_recommended_aux_model(vision, free_tier=None, ...)
Tier-aware pick from the payload:
- Paid tier → paidRecommended{Vision,Compaction}Model, falling back
to freeRecommended* when the paid field is null (common during
staged rollouts of new paid models).
- Free tier → freeRecommended* only, never leaks paid models.
When free_tier is None, auto-detects via the existing
check_nous_free_tier() helper (already cached 3 min against
/api/oauth/account). Detection errors default to paid so we never
silently downgrade a paying user.
agent/auxiliary_client.py — _try_nous()
- Replaces the hardcoded xiaomi/mimo free-tier branch with a single call
to get_nous_recommended_aux_model(vision=vision).
- Falls back to _NOUS_MODEL (google/gemini-3-flash-preview) when the
Portal is unreachable or returns a null recommendation.
- The Portal is now the source of truth for aux model selection; the
xiaomi allowlist we used to carry is effectively dead.
Tests (15 new)
- tests/hermes_cli/test_models.py::TestNousRecommendedModels
Fetch caching, per-portal keying, network failure, force_refresh;
paid-prefers-paid, paid-falls-to-free, free-never-leaks-paid,
auto-detect, detection-error → paid default, null/blank modelName
handling.
- tests/agent/test_auxiliary_client.py::TestNousAuxiliaryRefresh
_try_nous honors Portal recommendation for text + vision, falls
back to google/gemini-3-flash-preview on None or exception.
Behavior won't visibly change today — both tier recommendations currently
point at google/gemini-3-flash-preview — but the moment the Portal ships
a better paid recommendation, subscribers pick it up within 10 minutes
without a Hermes release.
This commit is contained in:
@@ -182,8 +182,6 @@ auxiliary_is_nous: bool = False
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# Default auxiliary models per provider
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_OPENROUTER_MODEL = "google/gemini-3-flash-preview"
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_NOUS_MODEL = "google/gemini-3-flash-preview"
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_NOUS_FREE_TIER_VISION_MODEL = "xiaomi/mimo-v2-omni"
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_NOUS_FREE_TIER_AUX_MODEL = "xiaomi/mimo-v2-pro"
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_NOUS_DEFAULT_BASE_URL = "https://inference-api.nousresearch.com/v1"
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_ANTHROPIC_DEFAULT_BASE_URL = "https://api.anthropic.com"
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_AUTH_JSON_PATH = get_hermes_home() / "auth.json"
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@@ -927,22 +925,35 @@ def _try_nous(vision: bool = False) -> Tuple[Optional[OpenAI], Optional[str]]:
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global auxiliary_is_nous
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auxiliary_is_nous = True
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logger.debug("Auxiliary client: Nous Portal")
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if nous.get("source") == "pool":
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model = "gemini-3-flash"
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else:
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model = _NOUS_MODEL
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# Free-tier users can't use paid auxiliary models — use the free
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# models instead: mimo-v2-omni for vision, mimo-v2-pro for text tasks.
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# Paid accounts keep their tier-appropriate models: gemini-3-flash-preview
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# for both text and vision tasks.
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# Ask the Portal which model it currently recommends for this task type.
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# The /api/nous/recommended-models endpoint is the authoritative source:
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# it distinguishes paid vs free tier recommendations, and get_nous_recommended_aux_model
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# auto-detects the caller's tier via check_nous_free_tier(). Fall back to
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# _NOUS_MODEL (google/gemini-3-flash-preview) when the Portal is unreachable
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# or returns a null recommendation for this task type.
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model = _NOUS_MODEL
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try:
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from hermes_cli.models import check_nous_free_tier
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if check_nous_free_tier():
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model = _NOUS_FREE_TIER_VISION_MODEL if vision else _NOUS_FREE_TIER_AUX_MODEL
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logger.debug("Free-tier Nous account — using %s for auxiliary/%s",
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model, "vision" if vision else "text")
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except Exception:
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pass
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from hermes_cli.models import get_nous_recommended_aux_model
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recommended = get_nous_recommended_aux_model(vision=vision)
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if recommended:
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model = recommended
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logger.debug(
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"Auxiliary/%s: using Portal-recommended model %s",
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"vision" if vision else "text", model,
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)
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else:
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logger.debug(
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"Auxiliary/%s: no Portal recommendation, falling back to %s",
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"vision" if vision else "text", model,
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)
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except Exception as exc:
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logger.debug(
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"Auxiliary/%s: recommended-models lookup failed (%s); "
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"falling back to %s",
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"vision" if vision else "text", exc, model,
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)
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if runtime is not None:
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api_key, base_url = runtime
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else:
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