hermes-agent/hermes_cli/model_normalize.py
0xbyt4 4ac731c841 fix(model-normalize): pass DeepSeek V-series IDs through instead of folding to deepseek-chat
`_normalize_for_deepseek` was mapping every non-reasoner input into
`deepseek-chat` on the assumption that DeepSeek's API accepts only two
model IDs. That assumption no longer holds — `deepseek-v4-pro` and
`deepseek-v4-flash` are first-class IDs accepted by the direct API,
and on aggregators `deepseek-chat` routes explicitly to V3 (DeepInfra
backend returns `deepseek-chat-v3`). So a user picking V4 Pro through
the model picker was being silently downgraded to V3.

Verified 2026-04-24 against Nous portal's OpenAI-compat surface:
  - `deepseek/deepseek-v4-flash` → provider: DeepSeek,
    model: deepseek-v4-flash-20260423
  - `deepseek/deepseek-chat`     → provider: DeepInfra,
    model: deepseek/deepseek-chat-v3

Fix:
- Add `deepseek-v4-pro` and `deepseek-v4-flash` to
  `_DEEPSEEK_CANONICAL_MODELS` so exact matches pass through.
- Add `_DEEPSEEK_V_SERIES_RE` (`^deepseek-v\d+(...)?$`) so future
  V-series IDs (`deepseek-v5-*`, dated variants) keep passing through
  without another code change.
- Update docstring + module header to reflect the new rule.

Tests:
- New `TestDeepseekVSeriesPassThrough` — 8 parametrized cases covering
  bare, vendor-prefixed, case-variant, dated, and future V-series IDs
  plus end-to-end `normalize_model_for_provider(..., "deepseek")`.
- New `TestDeepseekCanonicalAndReasonerMapping` — regression coverage
  for canonical pass-through, reasoner-keyword folding, and
  fall-back-to-chat behaviour.
- 77/77 pass.

Reported on Discord (Ufonik, Don Piedro): `/model > Deepseek >
deepseek-v4-pro` surfaced
`Normalized 'deepseek-v4-pro' to 'deepseek-chat'`. Picker listing
showed the v4 names, so validation also rejected the post-normalize
`deepseek-chat` as "not in provider listing" — the contradiction
users saw. Normalizer now respects the picker's choice.
2026-04-24 05:24:54 -07:00

465 lines
16 KiB
Python

"""Per-provider model name normalization.
Different LLM providers expect model identifiers in different formats:
- **Aggregators** (OpenRouter, Nous, AI Gateway, Kilo Code) need
``vendor/model`` slugs like ``anthropic/claude-sonnet-4.6``.
- **Anthropic** native API expects bare names with dots replaced by
hyphens: ``claude-sonnet-4-6``.
- **Copilot** expects bare names *with* dots preserved:
``claude-sonnet-4.6``.
- **OpenCode Zen** preserves dots for GPT/GLM/Gemini/Kimi/MiniMax-style
model IDs, but Claude still uses hyphenated native names like
``claude-sonnet-4-6``.
- **OpenCode Go** preserves dots in model names: ``minimax-m2.7``.
- **DeepSeek** accepts ``deepseek-chat`` (V3), ``deepseek-reasoner``
(R1-family), and the first-class V-series IDs (``deepseek-v4-pro``,
``deepseek-v4-flash``, and any future ``deepseek-v<N>-*``). Older
Hermes revisions folded every non-reasoner input into
``deepseek-chat``, which on aggregators routes to V3 — so a user
picking V4 Pro was silently downgraded.
- **Custom** and remaining providers pass the name through as-is.
This module centralises that translation so callers can simply write::
api_model = normalize_model_for_provider(user_input, provider)
Inspired by Clawdbot's ``normalizeAnthropicModelId`` pattern.
"""
from __future__ import annotations
import re
from typing import Optional
# ---------------------------------------------------------------------------
# Vendor prefix mapping
# ---------------------------------------------------------------------------
# Maps the first hyphen-delimited token of a bare model name to the vendor
# slug used by aggregator APIs (OpenRouter, Nous, etc.).
#
# Example: "claude-sonnet-4.6" -> first token "claude" -> vendor "anthropic"
# -> aggregator slug: "anthropic/claude-sonnet-4.6"
_VENDOR_PREFIXES: dict[str, str] = {
"claude": "anthropic",
"gpt": "openai",
"o1": "openai",
"o3": "openai",
"o4": "openai",
"gemini": "google",
"gemma": "google",
"deepseek": "deepseek",
"glm": "z-ai",
"kimi": "moonshotai",
"minimax": "minimax",
"grok": "x-ai",
"qwen": "qwen",
"mimo": "xiaomi",
"trinity": "arcee-ai",
"nemotron": "nvidia",
"llama": "meta-llama",
"step": "stepfun",
"trinity": "arcee-ai",
}
# Providers whose APIs consume vendor/model slugs.
_AGGREGATOR_PROVIDERS: frozenset[str] = frozenset({
"openrouter",
"nous",
"ai-gateway",
"kilocode",
})
# Providers that want bare names with dots replaced by hyphens.
_DOT_TO_HYPHEN_PROVIDERS: frozenset[str] = frozenset({
"anthropic",
})
# Providers that want bare names with dots preserved.
_STRIP_VENDOR_ONLY_PROVIDERS: frozenset[str] = frozenset({
"copilot",
"copilot-acp",
"openai-codex",
})
# Providers whose native naming is authoritative -- pass through unchanged.
_AUTHORITATIVE_NATIVE_PROVIDERS: frozenset[str] = frozenset({
"gemini",
"huggingface",
})
# Direct providers that accept bare native names but should repair a matching
# provider/ prefix when users copy the aggregator form into config.yaml.
_MATCHING_PREFIX_STRIP_PROVIDERS: frozenset[str] = frozenset({
"zai",
"kimi-coding",
"kimi-coding-cn",
"minimax",
"minimax-cn",
"alibaba",
"qwen-oauth",
"xiaomi",
"arcee",
"ollama-cloud",
"custom",
})
# Providers whose APIs require lowercase model IDs. Xiaomi's
# ``api.xiaomimimo.com`` rejects mixed-case names like ``MiMo-V2.5-Pro``
# that users might copy from marketing docs — it only accepts
# ``mimo-v2.5-pro``. After stripping a matching provider prefix, these
# providers also get ``.lower()`` applied.
_LOWERCASE_MODEL_PROVIDERS: frozenset[str] = frozenset({
"xiaomi",
})
# ---------------------------------------------------------------------------
# DeepSeek special handling
# ---------------------------------------------------------------------------
# DeepSeek's API only recognises exactly two model identifiers. We map
# common aliases and patterns to the canonical names.
_DEEPSEEK_REASONER_KEYWORDS: frozenset[str] = frozenset({
"reasoner",
"r1",
"think",
"reasoning",
"cot",
})
_DEEPSEEK_CANONICAL_MODELS: frozenset[str] = frozenset({
"deepseek-chat", # V3 on DeepSeek direct and most aggregators
"deepseek-reasoner", # R1-family reasoning model
"deepseek-v4-pro", # V4 Pro — first-class model ID
"deepseek-v4-flash", # V4 Flash — first-class model ID
})
# First-class V-series IDs (``deepseek-v4-pro``, ``deepseek-v4-flash``,
# future ``deepseek-v5-*``, dated variants like ``deepseek-v4-flash-20260423``).
# Verified empirically 2026-04-24: DeepSeek's Chat Completions API returns
# ``provider: DeepSeek`` / ``model: deepseek-v4-flash-20260423`` when called
# with ``model=deepseek/deepseek-v4-flash``, so these names are not aliases
# of ``deepseek-chat`` and must not be folded into it.
_DEEPSEEK_V_SERIES_RE = re.compile(r"^deepseek-v\d+([-.].+)?$")
def _normalize_for_deepseek(model_name: str) -> str:
"""Map a model input to a DeepSeek-accepted identifier.
Rules:
- Already a known canonical (``deepseek-chat``/``deepseek-reasoner``/
``deepseek-v4-pro``/``deepseek-v4-flash``) -> pass through.
- Matches the V-series pattern ``deepseek-v<digit>...`` -> pass through
(covers future ``deepseek-v5-*`` and dated variants without a release).
- Contains a reasoner keyword (r1, think, reasoning, cot, reasoner)
-> ``deepseek-reasoner``.
- Everything else -> ``deepseek-chat``.
Args:
model_name: The bare model name (vendor prefix already stripped).
Returns:
A DeepSeek-accepted model identifier.
"""
bare = _strip_vendor_prefix(model_name).lower()
if bare in _DEEPSEEK_CANONICAL_MODELS:
return bare
# V-series first-class IDs (v4-pro, v4-flash, future v5-*, dated variants)
if _DEEPSEEK_V_SERIES_RE.match(bare):
return bare
# Check for reasoner-like keywords anywhere in the name
for keyword in _DEEPSEEK_REASONER_KEYWORDS:
if keyword in bare:
return "deepseek-reasoner"
return "deepseek-chat"
# ---------------------------------------------------------------------------
# Helper utilities
# ---------------------------------------------------------------------------
def _strip_vendor_prefix(model_name: str) -> str:
"""Remove a ``vendor/`` prefix if present.
Examples::
>>> _strip_vendor_prefix("anthropic/claude-sonnet-4.6")
'claude-sonnet-4.6'
>>> _strip_vendor_prefix("claude-sonnet-4.6")
'claude-sonnet-4.6'
>>> _strip_vendor_prefix("meta-llama/llama-4-scout")
'llama-4-scout'
"""
if "/" in model_name:
return model_name.split("/", 1)[1]
return model_name
def _dots_to_hyphens(model_name: str) -> str:
"""Replace dots with hyphens in a model name.
Anthropic's native API uses hyphens where marketing names use dots:
``claude-sonnet-4.6`` -> ``claude-sonnet-4-6``.
"""
return model_name.replace(".", "-")
def _normalize_provider_alias(provider_name: str) -> str:
"""Resolve provider aliases to Hermes' canonical ids."""
raw = (provider_name or "").strip().lower()
if not raw:
return raw
try:
from hermes_cli.models import normalize_provider
return normalize_provider(raw)
except Exception:
return raw
def _strip_matching_provider_prefix(model_name: str, target_provider: str) -> str:
"""Strip ``provider/`` only when the prefix matches the target provider.
This prevents arbitrary slash-bearing model IDs from being mangled on
native providers while still repairing manual config values like
``zai/glm-5.1`` for the ``zai`` provider.
"""
if "/" not in model_name:
return model_name
prefix, remainder = model_name.split("/", 1)
if not prefix.strip() or not remainder.strip():
return model_name
normalized_prefix = _normalize_provider_alias(prefix)
normalized_target = _normalize_provider_alias(target_provider)
if normalized_prefix and normalized_prefix == normalized_target:
return remainder.strip()
return model_name
def detect_vendor(model_name: str) -> Optional[str]:
"""Detect the vendor slug from a bare model name.
Uses the first hyphen-delimited token of the model name to look up
the corresponding vendor in ``_VENDOR_PREFIXES``. Also handles
case-insensitive matching and special patterns.
Args:
model_name: A model name, optionally already including a
``vendor/`` prefix. If a prefix is present it is used
directly.
Returns:
The vendor slug (e.g. ``"anthropic"``, ``"openai"``) or ``None``
if no vendor can be confidently detected.
Examples::
>>> detect_vendor("claude-sonnet-4.6")
'anthropic'
>>> detect_vendor("gpt-5.4-mini")
'openai'
>>> detect_vendor("anthropic/claude-sonnet-4.6")
'anthropic'
>>> detect_vendor("my-custom-model")
"""
name = model_name.strip()
if not name:
return None
# If there's already a vendor/ prefix, extract it
if "/" in name:
return name.split("/", 1)[0].lower() or None
name_lower = name.lower()
# Try first hyphen-delimited token (exact match)
first_token = name_lower.split("-")[0]
if first_token in _VENDOR_PREFIXES:
return _VENDOR_PREFIXES[first_token]
# Handle patterns where the first token includes version digits,
# e.g. "qwen3.5-plus" -> first token "qwen3.5", but prefix is "qwen"
for prefix, vendor in _VENDOR_PREFIXES.items():
if name_lower.startswith(prefix):
return vendor
return None
def _prepend_vendor(model_name: str) -> str:
"""Prepend the detected ``vendor/`` prefix if missing.
Used for aggregator providers that require ``vendor/model`` format.
If the name already contains a ``/``, it is returned as-is.
If no vendor can be detected, the name is returned unchanged
(aggregators may still accept it or return an error).
Examples::
>>> _prepend_vendor("claude-sonnet-4.6")
'anthropic/claude-sonnet-4.6'
>>> _prepend_vendor("anthropic/claude-sonnet-4.6")
'anthropic/claude-sonnet-4.6'
>>> _prepend_vendor("my-custom-thing")
'my-custom-thing'
"""
if "/" in model_name:
return model_name
vendor = detect_vendor(model_name)
if vendor:
return f"{vendor}/{model_name}"
return model_name
# ---------------------------------------------------------------------------
# Main normalisation entry point
# ---------------------------------------------------------------------------
def normalize_model_for_provider(model_input: str, target_provider: str) -> str:
"""Translate a model name into the format the target provider's API expects.
This is the primary entry point for model name normalisation. It
accepts any user-facing model identifier and transforms it for the
specific provider that will receive the API call.
Args:
model_input: The model name as provided by the user or config.
Can be bare (``"claude-sonnet-4.6"``), vendor-prefixed
(``"anthropic/claude-sonnet-4.6"``), or already in native
format (``"claude-sonnet-4-6"``).
target_provider: The canonical Hermes provider id, e.g.
``"openrouter"``, ``"anthropic"``, ``"copilot"``,
``"deepseek"``, ``"custom"``. Should already be normalised
via ``hermes_cli.models.normalize_provider()``.
Returns:
The model identifier string that the target provider's API
expects.
Raises:
No exceptions -- always returns a best-effort string.
Examples::
>>> normalize_model_for_provider("claude-sonnet-4.6", "openrouter")
'anthropic/claude-sonnet-4.6'
>>> normalize_model_for_provider("anthropic/claude-sonnet-4.6", "anthropic")
'claude-sonnet-4-6'
>>> normalize_model_for_provider("anthropic/claude-sonnet-4.6", "copilot")
'claude-sonnet-4.6'
>>> normalize_model_for_provider("openai/gpt-5.4", "copilot")
'gpt-5.4'
>>> normalize_model_for_provider("claude-sonnet-4.6", "opencode-zen")
'claude-sonnet-4-6'
>>> normalize_model_for_provider("minimax-m2.5-free", "opencode-zen")
'minimax-m2.5-free'
>>> normalize_model_for_provider("deepseek-v3", "deepseek")
'deepseek-chat'
>>> normalize_model_for_provider("deepseek-r1", "deepseek")
'deepseek-reasoner'
>>> normalize_model_for_provider("my-model", "custom")
'my-model'
>>> normalize_model_for_provider("claude-sonnet-4.6", "zai")
'claude-sonnet-4.6'
>>> normalize_model_for_provider("MiMo-V2.5-Pro", "xiaomi")
'mimo-v2.5-pro'
"""
name = (model_input or "").strip()
if not name:
return name
provider = _normalize_provider_alias(target_provider)
# --- Aggregators: need vendor/model format ---
if provider in _AGGREGATOR_PROVIDERS:
return _prepend_vendor(name)
# --- OpenCode Zen: Claude stays hyphenated; other models keep dots ---
if provider == "opencode-zen":
bare = _strip_matching_provider_prefix(name, provider)
if "/" in bare:
return bare
if bare.lower().startswith("claude-"):
return _dots_to_hyphens(bare)
return bare
# --- Anthropic: strip matching provider prefix, dots -> hyphens ---
if provider in _DOT_TO_HYPHEN_PROVIDERS:
bare = _strip_matching_provider_prefix(name, provider)
if "/" in bare:
return bare
return _dots_to_hyphens(bare)
# --- Copilot / Copilot ACP: delegate to the Copilot-specific
# normalizer. It knows about the alias table (vendor-prefix
# stripping for Anthropic/OpenAI, dash-to-dot repair for Claude)
# and live-catalog lookups. Without this, vendor-prefixed or
# dash-notation Claude IDs survive to the Copilot API and hit
# HTTP 400 "model_not_supported". See issue #6879.
if provider in {"copilot", "copilot-acp"}:
try:
from hermes_cli.models import normalize_copilot_model_id
normalized = normalize_copilot_model_id(name)
if normalized:
return normalized
except Exception:
# Fall through to the generic strip-vendor behaviour below
# if the Copilot-specific path is unavailable for any reason.
pass
# --- Copilot / Copilot ACP / openai-codex fallback:
# strip matching provider prefix, keep dots ---
if provider in _STRIP_VENDOR_ONLY_PROVIDERS:
stripped = _strip_matching_provider_prefix(name, provider)
if stripped == name and name.startswith("openai/"):
# openai-codex maps openai/gpt-5.4 -> gpt-5.4
return name.split("/", 1)[1]
return stripped
# --- DeepSeek: map to one of two canonical names ---
if provider == "deepseek":
bare = _strip_matching_provider_prefix(name, provider)
if "/" in bare:
return bare
return _normalize_for_deepseek(bare)
# --- Direct providers: repair matching provider prefixes only ---
if provider in _MATCHING_PREFIX_STRIP_PROVIDERS:
result = _strip_matching_provider_prefix(name, provider)
# Some providers require lowercase model IDs (e.g. Xiaomi's API
# rejects "MiMo-V2.5-Pro" but accepts "mimo-v2.5-pro").
if provider in _LOWERCASE_MODEL_PROVIDERS:
result = result.lower()
return result
# --- Authoritative native providers: preserve user-facing slugs as-is ---
if provider in _AUTHORITATIVE_NATIVE_PROVIDERS:
return name
# --- Custom & all others: pass through as-is ---
return name
# ---------------------------------------------------------------------------
# Batch / convenience helpers
# ---------------------------------------------------------------------------