fix: preserve dots in model names for OpenCode Zen and ZAI providers (#8794)

OpenCode Zen was in _DOT_TO_HYPHEN_PROVIDERS, causing all dotted model
names (minimax-m2.5-free, gpt-5.4, glm-5.1) to be mangled. The fix:

Layer 1 (model_normalize.py): Remove opencode-zen from the blanket
dot-to-hyphen set. Add an explicit block that preserves dots for
non-Claude models while keeping Claude hyphenated (Zen's Claude
endpoint uses anthropic_messages mode which expects hyphens).

Layer 2 (run_agent.py _anthropic_preserve_dots): Add opencode-zen and
zai to the provider allowlist. Broaden URL check from opencode.ai/zen/go
to opencode.ai/zen/ to cover both Go and Zen endpoints. Add bigmodel.cn
for ZAI URL detection.

Also adds glm-5.1 to ZAI model lists in models.py and setup.py.

Closes #7710

Salvaged from contributions by:
- konsisumer (PR #7739, #7719)
- DomGrieco (PR #8708)
- Esashiero (PR #7296)
- sharziki (PR #7497)
- XiaoYingGee (PR #8750)
- APTX4869-maker (PR #8752)
- kagura-agent (PR #7157)

hermes_cli/model_normalize.py

@@ -8,8 +8,9 @@ Different LLM providers expect model identifiers in different formats:
   hyphens: ``claude-sonnet-4-6``.
 - **Copilot** expects bare names *with* dots preserved:
   ``claude-sonnet-4.6``.
-- **OpenCode Zen** follows the same dot-to-hyphen convention as
+- **OpenCode Zen** preserves dots for GPT/GLM/Gemini/Kimi/MiniMax-style
-  Anthropic: ``claude-sonnet-4-6``.
+  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** only accepts two model identifiers:
   ``deepseek-chat`` and ``deepseek-reasoner``.
@@ -67,7 +68,6 @@ _AGGREGATOR_PROVIDERS: frozenset[str] = frozenset({
 # Providers that want bare names with dots replaced by hyphens.
 _DOT_TO_HYPHEN_PROVIDERS: frozenset[str] = frozenset({
     "anthropic",
-    "opencode-zen",
 })
 
 # Providers that want bare names with dots preserved.
@@ -329,6 +329,9 @@ def normalize_model_for_provider(model_input: str, target_provider: str) -> str:
         >>> 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'
 
@@ -351,7 +354,16 @@ def normalize_model_for_provider(model_input: str, target_provider: str) -> str:
     if provider in _AGGREGATOR_PROVIDERS:
         return _prepend_vendor(name)
 
-    # --- Anthropic / OpenCode: strip matching provider prefix, dots -> hyphens ---
+    # --- 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:

hermes_cli/models.py

@@ -130,6 +130,7 @@ _PROVIDER_MODELS: dict[str, list[str]] = {
         "gemma-4-26b-it",
     ],
     "zai": [
+        "glm-5.1",
         "glm-5",
         "glm-5-turbo",
         "glm-4.7",

hermes_cli/setup.py

@@ -104,7 +104,7 @@ _DEFAULT_PROVIDER_MODELS = {
         "gemini-2.5-pro", "gemini-2.5-flash", "gemini-2.5-flash-lite",
         "gemma-4-31b-it", "gemma-4-26b-it",
     ],
-    "zai": ["glm-5", "glm-4.7", "glm-4.5", "glm-4.5-flash"],
+    "zai": ["glm-5.1", "glm-5", "glm-4.7", "glm-4.5", "glm-4.5-flash"],
     "kimi-coding": ["kimi-k2.5", "kimi-k2-thinking", "kimi-k2-turbo-preview"],
     "minimax": ["MiniMax-M2.7", "MiniMax-M2.5", "MiniMax-M2.1", "MiniMax-M2"],
     "minimax-cn": ["MiniMax-M2.7", "MiniMax-M2.5", "MiniMax-M2.1", "MiniMax-M2"],

run_agent.py

@@ -5856,11 +5856,12 @@ class AIAgent:
         """True when using an anthropic-compatible endpoint that preserves dots in model names.
         Alibaba/DashScope keeps dots (e.g. qwen3.5-plus).
         MiniMax keeps dots (e.g. MiniMax-M2.7).
-        OpenCode Go keeps dots (e.g. minimax-m2.7)."""
+        OpenCode Go/Zen keeps dots for non-Claude models (e.g. minimax-m2.5-free).
-        if (getattr(self, "provider", "") or "").lower() in {"alibaba", "minimax", "minimax-cn", "opencode-go"}:
+        ZAI/Zhipu keeps dots (e.g. glm-4.7, glm-5.1)."""
+        if (getattr(self, "provider", "") or "").lower() in {"alibaba", "minimax", "minimax-cn", "opencode-go", "opencode-zen", "zai"}:
             return True
         base = (getattr(self, "base_url", "") or "").lower()
-        return "dashscope" in base or "aliyuncs" in base or "minimax" in base or "opencode.ai/zen/go" in base
+        return "dashscope" in base or "aliyuncs" in base or "minimax" in base or "opencode.ai/zen/" in base or "bigmodel.cn" in base
 
     def _is_qwen_portal(self) -> bool:
         """Return True when the base URL targets Qwen Portal."""

tests/agent/test_minimax_provider.py

@@ -308,6 +308,34 @@ class TestMinimaxPreserveDots:
         from run_agent import AIAgent
         assert AIAgent._anthropic_preserve_dots(agent) is False
 
+    def test_opencode_zen_provider_preserves_dots(self):
+        from types import SimpleNamespace
+        agent = SimpleNamespace(provider="opencode-zen", base_url="")
+        from run_agent import AIAgent
+        assert AIAgent._anthropic_preserve_dots(agent) is True
+
+    def test_opencode_zen_url_preserves_dots(self):
+        from types import SimpleNamespace
+        agent = SimpleNamespace(provider="custom", base_url="https://opencode.ai/zen/v1")
+        from run_agent import AIAgent
+        assert AIAgent._anthropic_preserve_dots(agent) is True
+
+    def test_zai_provider_preserves_dots(self):
+        from types import SimpleNamespace
+        agent = SimpleNamespace(provider="zai", base_url="")
+        from run_agent import AIAgent
+        assert AIAgent._anthropic_preserve_dots(agent) is True
+
+    def test_bigmodel_cn_url_preserves_dots(self):
+        from types import SimpleNamespace
+        agent = SimpleNamespace(provider="custom", base_url="https://open.bigmodel.cn/api/paas/v4")
+        from run_agent import AIAgent
+        assert AIAgent._anthropic_preserve_dots(agent) is True
+
+    def test_normalize_preserves_m25_free_dot(self):
+        from agent.anthropic_adapter import normalize_model_name
+        assert normalize_model_name("minimax-m2.5-free", preserve_dots=True) == "minimax-m2.5-free"
+
     def test_normalize_preserves_m27_dot(self):
         from agent.anthropic_adapter import normalize_model_name
         assert normalize_model_name("MiniMax-M2.7", preserve_dots=True) == "MiniMax-M2.7"

tests/hermes_cli/test_model_normalize.py

@@ -54,14 +54,19 @@ class TestAnthropicDotToHyphen:
 
 # ── OpenCode Zen regression ────────────────────────────────────────────
 
-class TestOpenCodeZenDotToHyphen:
+class TestOpenCodeZenModelNormalization:
-    """OpenCode Zen follows Anthropic convention (dots→hyphens)."""
+    """OpenCode Zen preserves dots for most models, but Claude stays hyphenated."""
 
     @pytest.mark.parametrize("model,expected", [
         ("claude-sonnet-4.6", "claude-sonnet-4-6"),
-        ("glm-4.5", "glm-4-5"),
+        ("opencode-zen/claude-opus-4.5", "claude-opus-4-5"),
+        ("glm-4.5", "glm-4.5"),
+        ("glm-5.1", "glm-5.1"),
+        ("gpt-5.4", "gpt-5.4"),
+        ("minimax-m2.5-free", "minimax-m2.5-free"),
+        ("kimi-k2.5", "kimi-k2.5"),
     ])
-    def test_zen_converts_dots(self, model, expected):
+    def test_zen_normalizes_models(self, model, expected):
         result = normalize_model_for_provider(model, "opencode-zen")
         assert result == expected
 
@@ -69,6 +74,10 @@ class TestOpenCodeZenDotToHyphen:
         result = normalize_model_for_provider("opencode-zen/claude-sonnet-4.6", "opencode-zen")
         assert result == "claude-sonnet-4-6"
 
+    def test_zen_strips_vendor_prefix_for_non_claude(self):
+        result = normalize_model_for_provider("opencode-zen/glm-5.1", "opencode-zen")
+        assert result == "glm-5.1"
+
 
 # ── Copilot dot preservation (regression) ──────────────────────────────