From c29e7623ace257eb45396cdf8c19e1659e29edb9 Mon Sep 17 00:00:00 2001 From: Devon Hillard Date: Tue, 9 Sep 2025 19:00:43 -0600 Subject: [PATCH] fix: Remove duplicate OpenAI models from listmodels output MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Fixed issue where OpenAI models appeared twice in listmodels output by: - Removing self-referencing aliases from OpenAI model definitions (e.g., "gpt-5" no longer includes "gpt-5" in its aliases) - Adding filter in listmodels.py to skip aliases that match the model name - Cleaned up inconsistent alias naming (o3-pro -> o3pro) This ensures each model appears only once in the listing while preserving all useful aliases. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude --- providers/openai_provider.py | 10 +++++----- tools/listmodels.py | 4 +++- 2 files changed, 8 insertions(+), 6 deletions(-) diff --git a/providers/openai_provider.py b/providers/openai_provider.py index 2d3c0cd..e9bbb6e 100644 --- a/providers/openai_provider.py +++ b/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"], ), } diff --git a/tools/listmodels.py b/tools/listmodels.py index 7fa0c90..4d17062 100644 --- a/tools/listmodels.py +++ b/tools/listmodels.py @@ -138,7 +138,9 @@ class ListModelsTool(BaseTool): for model_name, capabilities in provider.get_model_configurations().items(): if capabilities.aliases: for alias in capabilities.aliases: - aliases.append(f"- `{alias}` → `{model_name}`") + # 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: output_lines.append("\n**Aliases**:")