616 lines
24 KiB
Python
616 lines
24 KiB
Python
"""Live model pricing.
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OpenRouter-compatible ``/v1/models`` pricing fetch with a per-endpoint/per-credential cache,
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Nous Portal sale chrome and org-policy filtering, and the Vercel AI Gateway / Novita / Fireworks /
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DeepInfra pricing adapters.
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Split out of ``hermes_cli.models``; every moved name is re-imported there, so
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``hermes_cli.models.<name>`` keeps resolving (and monkeypatching) as before.
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"""
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from __future__ import annotations
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import json
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import os
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import time
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import urllib.request
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from typing import Any, Optional
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from hermes_cli.models_reasoning_caps import _seed_reasoning_caps
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# Cache: maps model_id → {"prompt": str, "completion": str} per endpoint
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_pricing_cache: dict[str, dict[str, dict[str, str]]] = {}
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# A failed fetch caches its empty result too, so an unreachable endpoint isn't
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# re-dialed on every call — but only until this deadline. Cached forever, one
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# bad moment (a blip during startup, a key that hadn't been written yet) turns
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# into no live model discovery for the life of the process, and the processes
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# that read this most are the ones that run for weeks: the gateway, the desktop
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# backend. Every caller falls back to a curated list meanwhile, so the cost of
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# the stale entry is silent and invisible.
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_FAILED_CATALOG_TTL_SECONDS = 120.0
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_pricing_cache_retry_after: dict[str, float] = {}
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def _cached_catalog(cache_key: str) -> Optional[dict[str, dict[str, Any]]]:
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"""The cached catalog for *cache_key*, or None to go fetch it."""
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from hermes_cli.models import _pricing_cache, _pricing_cache_retry_after
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cached = _pricing_cache.get(cache_key)
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if cached is None:
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return None
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retry_after = _pricing_cache_retry_after.get(cache_key)
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if retry_after is not None and time.monotonic() >= retry_after:
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_pricing_cache.pop(cache_key, None)
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_pricing_cache_retry_after.pop(cache_key, None)
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return None
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return cached
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def _cache_catalog(
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cache_key: str,
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result: dict[str, dict[str, Any]],
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ttl_seconds: Optional[float] = None,
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) -> dict[str, dict[str, Any]]:
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"""Cache a catalog result, giving an empty one an expiry.
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*ttl_seconds* expires a non-empty result too. Only a catalog whose contents depend on server-
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side state the client cannot observe needs it — an org's model policy can change while a long-
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lived process holds the entry.
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"""
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from hermes_cli.models import _pricing_cache, _pricing_cache_retry_after
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_pricing_cache[cache_key] = result
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if result:
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if ttl_seconds:
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_pricing_cache_retry_after[cache_key] = time.monotonic() + ttl_seconds
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else:
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_pricing_cache_retry_after.pop(cache_key, None)
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else:
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_pricing_cache_retry_after[cache_key] = (
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time.monotonic() + _FAILED_CATALOG_TTL_SECONDS
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)
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return result
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# NUL cannot appear in a URL, so this cannot collide with a real base URL.
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_PRICING_AUTH_KEY_PREFIX = "\x00auth:"
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def _pricing_auth_fingerprint(api_key: str | None) -> str:
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"""Key suffix identifying the credential a catalog was read with.
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A governed endpoint answers each token with the catalog its org may reach, so two credentials
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cannot share an entry. blake2b for cache-key fingerprinting only, same rationale as
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:func:`_custom_endpoint_fingerprint`.
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"""
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if not api_key:
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return ""
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import hashlib
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digest = hashlib.blake2b(api_key.encode("utf-8", errors="replace"), digest_size=8)
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return _PRICING_AUTH_KEY_PREFIX + digest.hexdigest()
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def peek_cached_pricing(base_url: str) -> dict[str, dict[str, Any]]:
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"""Pricing already cached for *base_url*, or ``{}``. Never fetches.
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Accepts a ``/v1``-suffixed URL as well as the pre-``/v1`` root the fetchers key on, and
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prefers an authenticated catalog. Scans rather than rebuilding a key because callers hold no
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credential — newest first, skipping expired entries, so a rotated credential does not keep
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answering from the catalog its predecessor read.
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"""
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from hermes_cli.models import _pricing_cache
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root = (base_url or "").rstrip("/")
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if root.endswith("/v1"):
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root = root[:-3].rstrip("/")
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authed_prefix = root + _PRICING_AUTH_KEY_PREFIX
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for key in reversed(list(_pricing_cache)):
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if key.startswith(authed_prefix):
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cached = _cached_catalog(key)
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if cached:
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return cached
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return _cached_catalog(root) or {}
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def _format_price_per_mtok(per_token_str: str) -> str:
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"""Convert a per-token price string to a human-friendly $/Mtok string.
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Always uses 2 decimal places so that prices align vertically when right-justified in a column
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(the decimal point stays in the same position).
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Sub-cent prices (e.g. deep-discount cache-hit promos) extend precision instead of collapsing to
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"$0.00": the smallest decimal place that makes the value non-zero is found, then one extra digit
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is kept and trailing zeros trimmed.
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"""
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try:
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val = float(per_token_str)
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except (TypeError, ValueError):
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return "?"
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if val == 0:
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return "free"
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per_m = val * 1_000_000
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text = f"{per_m:.2f}"
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if per_m < 0.01:
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# Non-zero price below one cent per Mtok — widen precision until the
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# value shows, keep one extra significant digit, trim trailing zeros.
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prec = 3
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while prec < 12 and round(per_m, prec) == 0:
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prec += 1
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text = f"{per_m:.{min(prec + 1, 12)}f}".rstrip("0").rstrip(".")
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return f"${text}"
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def compute_sale_discount(
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prompt: str,
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completion: str,
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original: Any,
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) -> tuple[int, str, str] | None:
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"""Derive sale chrome from gateway ``pricing.original`` when cheaper.
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Nous Portal-only feature: callers gate on the provider; this helper only sees ``original``
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because the Nous fetch path opted in via ``include_sale_original=True``.
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Returns ``(discount_percent, was_prompt_raw, was_completion_raw)`` only when ``original`` is a
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dict and the current prompt (fallback: completion) rate is strictly below the corresponding
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original.
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"""
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def _finite(raw: Any) -> float | None:
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try:
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n = float(raw)
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except (TypeError, ValueError):
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return None
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return n if n > 0 and n == n else None # n == n rejects NaN
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def _nonneg(raw: Any) -> float | None:
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try:
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n = float(raw)
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except (TypeError, ValueError):
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return None
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return n if n >= 0 and n == n else None
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orig_dict = original if isinstance(original, dict) else {}
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was_prompt = orig_dict.get("prompt")
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was_completion = orig_dict.get("completion")
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# Free / $0 models: flat 100% off, with "was" prices only when the
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# gateway actually served an original (e.g. a :free sibling); a
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# natively-free model (stealth/ox-alpha) gets bare "-100%" chrome.
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cur_prompt_any = _nonneg(prompt) if prompt not in (None, "") else None
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cur_comp_any = _nonneg(completion) if completion not in (None, "") else None
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if cur_prompt_any == 0 and cur_comp_any in (0, None):
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return (
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100,
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str(was_prompt) if was_prompt not in (None, "") else "",
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str(was_completion) if was_completion not in (None, "") else "",
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)
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if not isinstance(original, dict):
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return None
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if was_prompt in (None, "") and was_completion in (None, ""):
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return None
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cur_prompt = _finite(prompt) if prompt not in (None, "") else None
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orig_prompt = _finite(was_prompt) if was_prompt not in (None, "") else None
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if cur_prompt is not None and orig_prompt is not None and cur_prompt < orig_prompt:
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pct = int(round((1.0 - (cur_prompt / orig_prompt)) * 100))
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if pct < 1:
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return None
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return (
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pct,
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str(was_prompt),
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str(was_completion) if was_completion not in (None, "") else "",
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)
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cur_comp = _finite(completion) if completion not in (None, "") else None
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orig_comp = _finite(was_completion) if was_completion not in (None, "") else None
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if cur_comp is not None and orig_comp is not None and cur_comp < orig_comp:
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pct = int(round((1.0 - (cur_comp / orig_comp)) * 100))
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if pct < 1:
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return None
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return (
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pct,
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str(was_prompt) if was_prompt not in (None, "") else "",
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str(was_completion),
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)
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return None
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def _get_json(url: str, headers: dict[str, str], timeout: float, opener=None) -> Optional[dict]:
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"""GET *url* as JSON via the origin's catalog opener (or *opener*); None on any failure."""
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from hermes_cli.models import _urlopen_model_catalog_request
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try:
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req = urllib.request.Request(url, headers=headers)
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with (opener or _urlopen_model_catalog_request)(req, timeout=timeout) as resp:
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return json.loads(resp.read().decode())
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except Exception:
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return None
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def _pricing_entry(pricing: dict, prompt_key: str = "prompt", completion_key: str = "completion") -> dict[str, Any]:
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"""Picker-shape ``{prompt, completion[, input_cache_read, input_cache_write]}`` from a catalog
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``pricing`` block whose cache fields already use the hermes names."""
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entry: dict[str, Any] = {
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"prompt": str(pricing.get(prompt_key, "")),
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"completion": str(pricing.get(completion_key, "")),
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}
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for key in ("input_cache_read", "input_cache_write"):
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if pricing.get(key):
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entry[key] = str(pricing[key])
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return entry
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def fetch_models_with_pricing(
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api_key: str | None = None,
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base_url: str = "https://openrouter.ai/api",
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timeout: float = 8.0,
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*,
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force_refresh: bool = False,
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include_sale_original: bool = False,
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cache_ttl_seconds: Optional[float] = None,
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) -> dict[str, dict[str, Any]]:
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"""Fetch ``/v1/models`` and return ``{model_id: {prompt, completion, ...}}``.
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Results are cached per *base_url* and per credential, so repeated calls are free and one
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caller's catalog never answers another's read. Works with any OpenRouter-compatible endpoint
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(OpenRouter, Nous Portal).
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When *include_sale_original* is true (Nous Portal only) and the gateway advertises a global
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discount under ``pricing.original``, those pre-discount rates are copied through as a nested
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``original`` dict so pickers can show sale chrome.
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"""
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from hermes_cli.models import _HERMES_USER_AGENT
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url_root = (base_url or "").rstrip("/")
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cache_key = url_root + _pricing_auth_fingerprint(api_key)
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if not force_refresh:
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cached = _cached_catalog(cache_key)
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if cached is not None:
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return cached
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url = url_root + "/v1/models"
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headers = {"Accept": "application/json", "User-Agent": _HERMES_USER_AGENT}
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if api_key:
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headers["Authorization"] = f"Bearer {api_key}"
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payload = _get_json(url, headers, timeout)
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if payload is None:
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return _cache_catalog(cache_key, {})
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# Same document the reasoning-capability fetch would pull, and every picker/pricing surface
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# goes through here — mirror it so a later hot-path lookup (and the next process) has an
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# answer without its own round-trip.
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_seed_reasoning_caps(url, payload.get("data"))
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result: dict[str, dict[str, Any]] = {}
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for item in payload.get("data", []):
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mid = item.get("id")
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pricing = item.get("pricing")
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if mid and isinstance(pricing, dict):
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entry = _pricing_entry(pricing)
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# Sale chrome is Nous Portal-only; never copy pricing.original for other catalogs.
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original = pricing.get("original") if include_sale_original else None
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if isinstance(original, dict):
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orig_entry = {
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key: str(original[key])
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for key in ("prompt", "completion", "input_cache_read", "input_cache_write")
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if original.get(key) not in (None, "")
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}
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if orig_entry.get("prompt") or orig_entry.get("completion"):
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entry["original"] = orig_entry
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result[mid] = entry
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return _cache_catalog(cache_key, result, cache_ttl_seconds)
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def fetch_ai_gateway_pricing(
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timeout: float = 8.0,
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*,
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force_refresh: bool = False,
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) -> dict[str, dict[str, str]]:
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"""Fetch Vercel AI Gateway /v1/models and return hermes-shaped pricing.
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Vercel uses ``input`` / ``output`` field names; hermes's picker expects ``prompt`` /
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``completion``. This translates. Cache read/write field names already match.
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"""
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from hermes_constants import AI_GATEWAY_BASE_URL
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cache_key = AI_GATEWAY_BASE_URL.rstrip("/")
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if not force_refresh:
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cached = _cached_catalog(cache_key)
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if cached is not None:
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return cached
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payload = _get_json(f"{cache_key}/models", {"Accept": "application/json"}, timeout, opener=urllib.request.urlopen)
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if payload is None:
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return _cache_catalog(cache_key, {})
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result: dict[str, dict[str, str]] = {}
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for item in payload.get("data", []):
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if not isinstance(item, dict):
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continue
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mid = item.get("id")
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pricing = item.get("pricing")
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if mid and isinstance(pricing, dict):
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result[mid] = _pricing_entry(pricing, "input", "output")
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return _cache_catalog(cache_key, result)
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def _resolve_openrouter_api_key() -> str:
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"""Best-effort OpenRouter API key for pricing fetch."""
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return os.getenv("OPENROUTER_API_KEY", "").strip()
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_DEFAULT_NOUS_INFERENCE_BASE = "https://inference-api.nousresearch.com"
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def _resolve_nous_pricing_credentials() -> tuple[str, str]:
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"""Return ``(api_key, base_url)`` for Nous Portal pricing.
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Base URL precedence (mirrors runtime credential resolution): 1. ``NOUS_INFERENCE_BASE_URL`` env
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override (staging / preview) 2. Resolved runtime credential ``base_url`` 3. Production default
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Without (1), a staging profile's sale ``pricing.original`` never reaches the pickers — the
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anonymous fallback would hit prod, which has no ``original`` field.
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"""
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try:
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from hermes_cli.auth import _nous_inference_env_override
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env_base = _nous_inference_env_override()
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except Exception:
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env_base = None
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api_key = ""
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creds_base = ""
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try:
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from hermes_cli.auth import resolve_nous_runtime_credentials
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creds = resolve_nous_runtime_credentials()
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if creds:
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api_key = creds.get("api_key", "") or ""
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creds_base = (creds.get("base_url", "") or "").strip()
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except Exception:
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pass
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base_url = (env_base or creds_base or _DEFAULT_NOUS_INFERENCE_BASE).rstrip("/")
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# Credential bases arrive with or without the ``/v1`` suffix. Callers
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# append their own path, so hand back the bare origin.
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if base_url.endswith("/v1"):
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base_url = base_url[:-3]
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return (api_key, base_url)
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def nous_policy_allowed_ids(*, force_refresh: bool = False) -> Optional[set[str]]:
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"""The Nous model ids the caller's org may reach, or ``None`` to not filter.
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The gateway omits policy-blocked rows from an authenticated ``GET /v1/models``, so that
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response's keys are the reachable set.
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``None`` means "leave the caller's list alone", for the three states that cannot support
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narrowing one: no policy (or a token too old to say), an anonymous read whose catalog is
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unfiltered, and an empty read, which is a fetch failure rather than an org that may reach
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nothing.
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"""
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from hermes_cli.models import _resolve_nous_pricing_credentials, fetch_models_with_pricing
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try:
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from hermes_cli.nous_account import nous_policy_present
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if nous_policy_present() is not True:
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return None
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except Exception:
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return None
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api_key, base_url = _resolve_nous_pricing_credentials()
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if not api_key or not base_url:
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return None
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# Same arguments as get_pricing_for_provider's nous branch, so a caller
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# asking for pricing too shares this entry instead of paying for a second
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# request.
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pricing = fetch_models_with_pricing(
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api_key=api_key,
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base_url=base_url,
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force_refresh=force_refresh,
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include_sale_original=True,
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cache_ttl_seconds=_NOUS_CATALOG_TTL_SECONDS,
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)
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return set(pricing) or None
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# Past this size an allowed set reads as a whole catalog rather than an
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# allowlist, and is not worth showing in place of an empty picker.
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_NOUS_POLICY_APPEND_MAX = 64
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# How long a Nous catalog stays trusted. Its contents depend on the org's
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# policy, which an admin can change at any time and the client cannot observe,
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# so a long-lived process must re-ask instead of holding the first answer for
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# its whole life. Other providers' catalogs carry no such state and keep the
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# default no-expiry caching.
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_NOUS_CATALOG_TTL_SECONDS = 300.0
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def restrict_to_nous_policy(
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model_ids: list[str],
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allowed: Optional[set[str]],
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*,
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rescue_empty: bool = False,
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) -> list[str]:
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"""*model_ids* narrowed to *allowed*, preserving the caller's order.
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A ``:free`` sibling is kept when its base model is reachable, mirroring the gateway, which
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admits a row when any of its requestable ids passes. Prefer over-listing: that costs a 403 from
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the authoritative gate, while hiding a row the gate would serve is unrecoverable from the
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client.
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"""
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if not allowed:
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return list(model_ids)
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kept = [
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mid
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for mid in model_ids
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if mid in allowed or mid.split(":", 1)[0] in allowed
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]
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# An allowlist can name only models the curated manifest lacks, leaving an
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# empty picker — worse than no filter, since the models the org may use are
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# the ones dropped. Opt-in per list: an already-empty list (a paid tier's
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# gated models) means "nothing to gate", not "nothing survived".
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if rescue_empty and not kept and len(allowed) <= _NOUS_POLICY_APPEND_MAX:
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return sorted(allowed)
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return kept
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def get_pricing_for_provider(provider: str, *, force_refresh: bool = False) -> dict[str, dict[str, str]]:
|
|
"""Return live pricing for providers that support it (openrouter, nous, ai-gateway, novita)."""
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from hermes_cli.models import _resolve_nous_pricing_credentials, fetch_models_with_pricing, normalize_provider
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|
normalized = normalize_provider(provider)
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|
if normalized == "openrouter":
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|
return fetch_models_with_pricing(
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|
api_key=_resolve_openrouter_api_key(),
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|
base_url="https://openrouter.ai/api",
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|
force_refresh=force_refresh,
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|
)
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|
if normalized == "ai-gateway":
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|
return fetch_ai_gateway_pricing(force_refresh=force_refresh)
|
|
if normalized == "novita":
|
|
return _fetch_novita_pricing(force_refresh=force_refresh)
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|
if normalized == "deepinfra":
|
|
return _fetch_deepinfra_pricing(force_refresh=force_refresh)
|
|
if normalized == "fireworks":
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|
return _fireworks_pricing_from_models_dev(force_refresh=force_refresh)
|
|
if normalized == "nous":
|
|
api_key, base_url = _resolve_nous_pricing_credentials()
|
|
if base_url:
|
|
return fetch_models_with_pricing(
|
|
api_key=api_key,
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|
base_url=base_url,
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|
force_refresh=force_refresh,
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|
# Sale chrome (pricing.original) is Nous Portal-only.
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|
include_sale_original=True,
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|
cache_ttl_seconds=_NOUS_CATALOG_TTL_SECONDS,
|
|
)
|
|
return {}
|
|
|
|
|
|
def _fireworks_pricing_from_models_dev(
|
|
*,
|
|
force_refresh: bool = False,
|
|
) -> dict[str, dict[str, str]]:
|
|
"""Derive Fireworks picker pricing from the models.dev registry cache.
|
|
|
|
No dedicated network fetch: ``fetch_models_dev()`` already maintains an in-memory + disk cache
|
|
(1h TTL) that every picker surface shares, so this is a pure dict transform on the picker path —
|
|
no added latency and no per-render network call.
|
|
"""
|
|
cache_key = "models.dev/fireworks"
|
|
if not force_refresh:
|
|
cached = _cached_catalog(cache_key)
|
|
if cached is not None:
|
|
return cached
|
|
|
|
result: dict[str, dict[str, str]] = {}
|
|
try:
|
|
from agent.models_dev import _get_provider_models
|
|
|
|
models = _get_provider_models("fireworks") or {}
|
|
for mid, entry in models.items():
|
|
if not isinstance(entry, dict):
|
|
continue
|
|
cost = entry.get("cost")
|
|
if not isinstance(cost, dict):
|
|
continue
|
|
inp = cost.get("input")
|
|
out = cost.get("output")
|
|
if inp is None and out is None:
|
|
continue
|
|
row: dict[str, str] = {
|
|
"prompt": str(float(inp or 0) / 1_000_000),
|
|
"completion": str(float(out or 0) / 1_000_000),
|
|
}
|
|
cache_read = cost.get("cache_read")
|
|
if cache_read:
|
|
row["input_cache_read"] = str(float(cache_read) / 1_000_000)
|
|
result[str(mid)] = row
|
|
except Exception:
|
|
result = {}
|
|
|
|
return _cache_catalog(cache_key, result)
|
|
|
|
|
|
def _fetch_novita_pricing(
|
|
timeout: float = 8.0,
|
|
*,
|
|
force_refresh: bool = False,
|
|
) -> dict[str, dict[str, str]]:
|
|
"""Fetch pricing from NovitaAI /v1/models.
|
|
|
|
NovitaAI reports per-million-token prices in units of 0.0001 USD; they are converted to the
|
|
per-token strings the shared pricing formatter expects. Results are cached in
|
|
``_pricing_cache`` keyed on the resolved base URL so menu renders don't re-hit the network.
|
|
"""
|
|
from hermes_cli.models import _HERMES_USER_AGENT
|
|
api_key = os.getenv("NOVITA_API_KEY", "").strip()
|
|
if not api_key:
|
|
return {}
|
|
|
|
base_url = os.getenv("NOVITA_BASE_URL", "").strip() or "https://api.novita.ai/openai/v1"
|
|
cache_key = base_url.rstrip("/")
|
|
if not force_refresh:
|
|
cached = _cached_catalog(cache_key)
|
|
if cached is not None:
|
|
return cached
|
|
|
|
headers = {"Authorization": f"Bearer {api_key}", "Accept": "application/json", "User-Agent": _HERMES_USER_AGENT}
|
|
payload = _get_json(cache_key + "/models", headers, timeout)
|
|
if payload is None:
|
|
return _cache_catalog(cache_key, {})
|
|
|
|
result: dict[str, dict[str, str]] = {}
|
|
for item in payload.get("data", []):
|
|
if not isinstance(item, dict):
|
|
continue
|
|
mid = item.get("id")
|
|
if not mid:
|
|
continue
|
|
inp = item.get("input_token_price_per_m")
|
|
out = item.get("output_token_price_per_m")
|
|
if inp is None and out is None:
|
|
continue
|
|
result[str(mid)] = {
|
|
"prompt": str(float(inp or 0) / 10_000 / 1_000_000),
|
|
"completion": str(float(out or 0) / 10_000 / 1_000_000),
|
|
}
|
|
|
|
return _cache_catalog(cache_key, result)
|
|
|
|
|
|
def _fetch_deepinfra_pricing(
|
|
timeout: float = 5.0,
|
|
*,
|
|
force_refresh: bool = False,
|
|
) -> dict[str, dict[str, str]]:
|
|
"""Return picker-shape pricing for DeepInfra chat models.
|
|
|
|
DeepInfra publishes ``input_tokens``/``output_tokens``/``cache_read_tokens`` in $/MTok; the
|
|
picker expects per-token strings under ``prompt``/``completion``/``input_cache_read``
|
|
(OpenRouter shape). Cached via the catalog helper so repeated picker renders are free.
|
|
"""
|
|
from hermes_cli.models import _fetch_deepinfra_models_by_tag
|
|
items = _fetch_deepinfra_models_by_tag("chat", timeout=timeout, force_refresh=force_refresh)
|
|
result: dict[str, dict[str, str]] = {}
|
|
for item in items or []:
|
|
metadata = item.get("metadata") or {}
|
|
pricing = metadata.get("pricing") if isinstance(metadata, dict) else None
|
|
if not isinstance(pricing, dict):
|
|
continue
|
|
entry = {
|
|
ours: str(float(pricing[theirs]) / 1_000_000)
|
|
for theirs, ours in (("input_tokens", "prompt"), ("output_tokens", "completion"), ("cache_read_tokens", "input_cache_read"))
|
|
if pricing.get(theirs) is not None
|
|
}
|
|
if entry:
|
|
result[item["id"]] = entry
|
|
return result
|