Files
hermes-agent/hermes_cli/models.py
teknium1 3b67606c42 fix: custom endpoint provider shows as openrouter in gateway
Three issues caused the gateway to display 'openrouter' instead of
'Custom endpoint' when users configured a custom OAI-compatible endpoint:

1. hermes setup: custom endpoint path saved OPENAI_BASE_URL and
   OPENAI_API_KEY to .env but never wrote model.provider to config.yaml.
   All other providers (Codex, z.ai, Kimi, etc.) call
   _update_config_for_provider() which sets this — custom was the only
   path that skipped it. Now writes model.provider='custom' and
   model.base_url to config.yaml.

2. hermes model: custom endpoint set model.provider='auto' in config.yaml.
   The CLI display had a hack to detect OPENAI_BASE_URL and override to
   'custom', but the gateway didn't. Now sets model.provider='custom'
   directly.

3. gateway /model and /provider commands: defaulted to 'openrouter' and
   read config.yaml — which had no provider set. Added OPENAI_BASE_URL
   detection fallback (same pattern the CLI uses) as a defensive catch
   for existing users who set up before this fix.
2026-03-09 02:38:34 -07:00

320 lines
10 KiB
Python

"""
Canonical model catalogs and lightweight validation helpers.
Add, remove, or reorder entries here — both `hermes setup` and
`hermes` provider-selection will pick up the change automatically.
"""
from __future__ import annotations
import json
import urllib.request
import urllib.error
from difflib import get_close_matches
from typing import Any, Optional
# (model_id, display description shown in menus)
OPENROUTER_MODELS: list[tuple[str, str]] = [
("anthropic/claude-opus-4.6", "recommended"),
("anthropic/claude-sonnet-4.5", ""),
("openai/gpt-5.4-pro", ""),
("openai/gpt-5.4", ""),
("openai/gpt-5.3-codex", ""),
("google/gemini-3-pro-preview", ""),
("google/gemini-3-flash-preview", ""),
("qwen/qwen3.5-plus-02-15", ""),
("qwen/qwen3.5-35b-a3b", ""),
("stepfun/step-3.5-flash", ""),
("z-ai/glm-5", ""),
("moonshotai/kimi-k2.5", ""),
("minimax/minimax-m2.5", ""),
]
_PROVIDER_MODELS: dict[str, list[str]] = {
"zai": [
"glm-5",
"glm-4.7",
"glm-4.5",
"glm-4.5-flash",
],
"kimi-coding": [
"kimi-k2.5",
"kimi-k2-thinking",
"kimi-k2-turbo-preview",
"kimi-k2-0905-preview",
],
"minimax": [
"MiniMax-M2.5",
"MiniMax-M2.5-highspeed",
"MiniMax-M2.1",
],
"minimax-cn": [
"MiniMax-M2.5",
"MiniMax-M2.5-highspeed",
"MiniMax-M2.1",
],
}
_PROVIDER_LABELS = {
"openrouter": "OpenRouter",
"openai-codex": "OpenAI Codex",
"nous": "Nous Portal",
"zai": "Z.AI / GLM",
"kimi-coding": "Kimi / Moonshot",
"minimax": "MiniMax",
"minimax-cn": "MiniMax (China)",
"custom": "Custom endpoint",
}
_PROVIDER_ALIASES = {
"glm": "zai",
"z-ai": "zai",
"z.ai": "zai",
"zhipu": "zai",
"kimi": "kimi-coding",
"moonshot": "kimi-coding",
"minimax-china": "minimax-cn",
"minimax_cn": "minimax-cn",
}
def model_ids() -> list[str]:
"""Return just the OpenRouter model-id strings."""
return [mid for mid, _ in OPENROUTER_MODELS]
def menu_labels() -> list[str]:
"""Return display labels like 'anthropic/claude-opus-4.6 (recommended)'."""
labels = []
for mid, desc in OPENROUTER_MODELS:
labels.append(f"{mid} ({desc})" if desc else mid)
return labels
# All provider IDs and aliases that are valid for the provider:model syntax.
_KNOWN_PROVIDER_NAMES: set[str] = (
set(_PROVIDER_LABELS.keys())
| set(_PROVIDER_ALIASES.keys())
| {"openrouter", "custom"}
)
def list_available_providers() -> list[dict[str, str]]:
"""Return info about all providers the user could use with ``provider:model``.
Each dict has ``id``, ``label``, and ``aliases``.
Checks which providers have valid credentials configured.
"""
# Canonical providers in display order
_PROVIDER_ORDER = [
"openrouter", "nous", "openai-codex",
"zai", "kimi-coding", "minimax", "minimax-cn",
]
# Build reverse alias map
aliases_for: dict[str, list[str]] = {}
for alias, canonical in _PROVIDER_ALIASES.items():
aliases_for.setdefault(canonical, []).append(alias)
result = []
for pid in _PROVIDER_ORDER:
label = _PROVIDER_LABELS.get(pid, pid)
alias_list = aliases_for.get(pid, [])
# Check if this provider has credentials available
has_creds = False
try:
from hermes_cli.runtime_provider import resolve_runtime_provider
runtime = resolve_runtime_provider(requested=pid)
has_creds = bool(runtime.get("api_key"))
except Exception:
pass
result.append({
"id": pid,
"label": label,
"aliases": alias_list,
"authenticated": has_creds,
})
return result
def parse_model_input(raw: str, current_provider: str) -> tuple[str, str]:
"""Parse ``/model`` input into ``(provider, model)``.
Supports ``provider:model`` syntax to switch providers at runtime::
openrouter:anthropic/claude-sonnet-4.5 → ("openrouter", "anthropic/claude-sonnet-4.5")
nous:hermes-3 → ("nous", "hermes-3")
anthropic/claude-sonnet-4.5 → (current_provider, "anthropic/claude-sonnet-4.5")
gpt-5.4 → (current_provider, "gpt-5.4")
The colon is only treated as a provider delimiter if the left side is a
recognized provider name or alias. This avoids misinterpreting model names
that happen to contain colons (e.g. ``anthropic/claude-3.5-sonnet:beta``).
Returns ``(provider, model)`` where *provider* is either the explicit
provider from the input or *current_provider* if none was specified.
"""
stripped = raw.strip()
colon = stripped.find(":")
if colon > 0:
provider_part = stripped[:colon].strip().lower()
model_part = stripped[colon + 1:].strip()
if provider_part and model_part and provider_part in _KNOWN_PROVIDER_NAMES:
return (normalize_provider(provider_part), model_part)
return (current_provider, stripped)
def curated_models_for_provider(provider: Optional[str]) -> list[tuple[str, str]]:
"""Return ``(model_id, description)`` tuples for a provider's curated list."""
normalized = normalize_provider(provider)
if normalized == "openrouter":
return list(OPENROUTER_MODELS)
models = _PROVIDER_MODELS.get(normalized, [])
return [(m, "") for m in models]
def normalize_provider(provider: Optional[str]) -> str:
"""Normalize provider aliases to Hermes' canonical provider ids.
Note: ``"auto"`` passes through unchanged — use
``hermes_cli.auth.resolve_provider()`` to resolve it to a concrete
provider based on credentials and environment.
"""
normalized = (provider or "openrouter").strip().lower()
return _PROVIDER_ALIASES.get(normalized, normalized)
def provider_model_ids(provider: Optional[str]) -> list[str]:
"""Return the best known model catalog for a provider."""
normalized = normalize_provider(provider)
if normalized == "openrouter":
return model_ids()
if normalized == "openai-codex":
from hermes_cli.codex_models import get_codex_model_ids
return get_codex_model_ids()
return list(_PROVIDER_MODELS.get(normalized, []))
def fetch_api_models(
api_key: Optional[str],
base_url: Optional[str],
timeout: float = 5.0,
) -> Optional[list[str]]:
"""Fetch the list of available model IDs from the provider's ``/models`` endpoint.
Returns a list of model ID strings, or ``None`` if the endpoint could not
be reached (network error, timeout, auth failure, etc.).
"""
if not base_url:
return None
url = base_url.rstrip("/") + "/models"
headers: dict[str, str] = {}
if api_key:
headers["Authorization"] = f"Bearer {api_key}"
req = urllib.request.Request(url, headers=headers)
try:
with urllib.request.urlopen(req, timeout=timeout) as resp:
data = json.loads(resp.read().decode())
# Standard OpenAI format: {"data": [{"id": "model-name", ...}, ...]}
return [m.get("id", "") for m in data.get("data", [])]
except Exception:
return None
def validate_requested_model(
model_name: str,
provider: Optional[str],
*,
api_key: Optional[str] = None,
base_url: Optional[str] = None,
) -> dict[str, Any]:
"""
Validate a ``/model`` value for the active provider.
Performs format checks first, then probes the live API to confirm
the model actually exists.
Returns a dict with:
- accepted: whether the CLI should switch to the requested model now
- persist: whether it is safe to save to config
- recognized: whether it matched a known provider catalog
- message: optional warning / guidance for the user
"""
requested = (model_name or "").strip()
normalized = normalize_provider(provider)
if normalized == "openrouter" and base_url and "openrouter.ai" not in base_url:
normalized = "custom"
if not requested:
return {
"accepted": False,
"persist": False,
"recognized": False,
"message": "Model name cannot be empty.",
}
if any(ch.isspace() for ch in requested):
return {
"accepted": False,
"persist": False,
"recognized": False,
"message": "Model names cannot contain spaces.",
}
# Probe the live API to check if the model actually exists
api_models = fetch_api_models(api_key, base_url)
if api_models is not None:
if requested in set(api_models):
# API confirmed the model exists
return {
"accepted": True,
"persist": True,
"recognized": True,
"message": None,
}
else:
# API responded but model is not listed
suggestions = get_close_matches(requested, api_models, n=3, cutoff=0.5)
suggestion_text = ""
if suggestions:
suggestion_text = "\n Did you mean: " + ", ".join(f"`{s}`" for s in suggestions)
return {
"accepted": False,
"persist": False,
"recognized": False,
"message": (
f"Error: `{requested}` is not a valid model for this provider."
f"{suggestion_text}"
),
}
# api_models is None — couldn't reach API, fall back to catalog check
provider_label = _PROVIDER_LABELS.get(normalized, normalized)
known_models = provider_model_ids(normalized)
if requested in known_models:
return {
"accepted": True,
"persist": True,
"recognized": True,
"message": None,
}
# Can't validate — accept for session only
suggestion = get_close_matches(requested, known_models, n=1, cutoff=0.6)
suggestion_text = f" Did you mean `{suggestion[0]}`?" if suggestion else ""
return {
"accepted": True,
"persist": False,
"recognized": False,
"message": (
f"Could not validate `{requested}` against the live {provider_label} API. "
"Using it for this session only; config unchanged."
f"{suggestion_text}"
),
}