Merge branch 'main' into main

CHANGELOG.md

@@ -2,6 +2,24 @@
 
 <!-- version list -->
 
+## v5.11.1 (2025-10-01)
+
+### Bug Fixes
+
+- Remove duplicate OpenAI models from listmodels output
+  ([`c29e762`](https://github.com/BeehiveInnovations/zen-mcp-server/commit/c29e7623ace257eb45396cdf8c19e1659e29edb9))
+
+### Chores
+
+- Sync version to config.py [skip ci]
+  ([`1209064`](https://github.com/BeehiveInnovations/zen-mcp-server/commit/12090646ee83f2368311d595d87ae947e46ddacd))
+
+### Testing
+
+- Update OpenAI provider alias tests to match new format
+  ([`d13700c`](https://github.com/BeehiveInnovations/zen-mcp-server/commit/d13700c14c7ee3d092302837cb1726d17bab1ab8))
+
+
 ## v5.11.0 (2025-08-26)
 
 ### Chores

config.py

@@ -14,9 +14,9 @@ import os
 # These values are used in server responses and for tracking releases
 # IMPORTANT: This is the single source of truth for version and author info
 # Semantic versioning: MAJOR.MINOR.PATCH
-__version__ = "5.11.0"
+__version__ = "5.11.1"
 # Last update date in ISO format
-__updated__ = "2025-09-05"
+__updated__ = "2025-10-01"
 # Primary maintainer
 __author__ = "Fahad Gilani"
 

providers/openai_provider.py

@@ -38,7 +38,7 @@ class OpenAIModelProvider(OpenAICompatibleProvider):
             supports_temperature=True,  # Regular models accept temperature parameter
             temperature_constraint=create_temperature_constraint("fixed"),
             description="GPT-5 (400K context, 128K output) - Advanced model with reasoning support",
-            aliases=["gpt5", "gpt-5"],
+            aliases=["gpt5"],
         ),
         "gpt-5-mini": ModelCapabilities(
             provider=ProviderType.OPENAI,
@@ -110,7 +110,7 @@ class OpenAIModelProvider(OpenAICompatibleProvider):
             supports_temperature=False,  # O3 models don't accept temperature parameter
             temperature_constraint=create_temperature_constraint("fixed"),
             description="Fast O3 variant (200K context) - Balanced performance/speed, moderate complexity",
-            aliases=["o3mini", "o3-mini"],
+            aliases=["o3mini"],
         ),
         "o3-pro": ModelCapabilities(
             provider=ProviderType.OPENAI,
@@ -128,7 +128,7 @@ class OpenAIModelProvider(OpenAICompatibleProvider):
             supports_temperature=False,  # O3 models don't accept temperature parameter
             temperature_constraint=create_temperature_constraint("fixed"),
             description="Professional-grade reasoning (200K context) - EXTREMELY EXPENSIVE: Only for the most complex problems requiring universe-scale complexity analysis OR when the user explicitly asks for this model. Use sparingly for critical architectural decisions or exceptionally complex debugging that other models cannot handle.",
-            aliases=["o3-pro"],
+            aliases=["o3pro"],
         ),
         "o4-mini": ModelCapabilities(
             provider=ProviderType.OPENAI,
@@ -146,7 +146,7 @@ class OpenAIModelProvider(OpenAICompatibleProvider):
             supports_temperature=False,  # O4 models don't accept temperature parameter
             temperature_constraint=create_temperature_constraint("fixed"),
             description="Latest reasoning model (200K context) - Optimized for shorter contexts, rapid reasoning",
-            aliases=["o4mini", "o4-mini"],
+            aliases=["o4mini"],
         ),
         "gpt-4.1": ModelCapabilities(
             provider=ProviderType.OPENAI,
@@ -164,7 +164,7 @@ class OpenAIModelProvider(OpenAICompatibleProvider):
             supports_temperature=True,  # Regular models accept temperature parameter
             temperature_constraint=create_temperature_constraint("range"),
             description="GPT-4.1 (1M context) - Advanced reasoning model with large context window",
-            aliases=["gpt4.1", "gpt-4.1"],
+            aliases=["gpt4.1"],
         ),
     }
 

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "zen-mcp-server"
-version = "5.11.0"
+version = "5.11.1"
 description = "AI-powered MCP server with multiple model providers"
 requires-python = ">=3.9"
 dependencies = [

tests/test_supported_models_aliases.py

@@ -50,15 +50,15 @@ class TestSupportedModelsAliases:
         # "mini" is now an alias for gpt-5-mini, not o4-mini
         assert "mini" in provider.SUPPORTED_MODELS["gpt-5-mini"].aliases
         assert "o4mini" in provider.SUPPORTED_MODELS["o4-mini"].aliases
-        assert "o4-mini" in provider.SUPPORTED_MODELS["o4-mini"].aliases
+        # o4-mini is no longer in its own aliases (removed self-reference)
         assert "o3mini" in provider.SUPPORTED_MODELS["o3-mini"].aliases
-        assert "o3-pro" in provider.SUPPORTED_MODELS["o3-pro"].aliases
+        assert "o3pro" in provider.SUPPORTED_MODELS["o3-pro"].aliases
         assert "gpt4.1" in provider.SUPPORTED_MODELS["gpt-4.1"].aliases
 
         # Test alias resolution
         assert provider._resolve_model_name("mini") == "gpt-5-mini"  # mini -> gpt-5-mini now
         assert provider._resolve_model_name("o3mini") == "o3-mini"
-        assert provider._resolve_model_name("o3-pro") == "o3-pro"  # o3-pro is already the base model name
+        assert provider._resolve_model_name("o3pro") == "o3-pro"  # o3pro resolves to o3-pro
         assert provider._resolve_model_name("o4mini") == "o4-mini"
         assert provider._resolve_model_name("gpt4.1") == "gpt-4.1"  # gpt4.1 resolves to gpt-4.1
 

tools/listmodels.py

@@ -138,6 +138,8 @@ class ListModelsTool(BaseTool):
                 for model_name, capabilities in provider.get_model_configurations().items():
                     if capabilities.aliases:
                         for alias in capabilities.aliases:
+                            # Skip aliases that are the same as the model name to avoid duplicates
+                            if alias != model_name:
                                 aliases.append(f"- `{alias}` → `{model_name}`")
 
                 if aliases: