fix(app): filter embedding models from chat dropdown and add suggested models (#77)

Author: Antonio Maiolo

.changeset/fix-ollama-chat-models-display.md

@@ -0,0 +1,8 @@
+---
+"think-app": patch
+---
+
+Fix Ollama chat models display in settings
+
+- Add all-minilm to embedding models list to filter it from chat dropdown
+- Add suggested Ollama chat models (llama3.2, mistral, phi3, etc.) as downloadable options

backend/app/routes/settings.py

@@ -208,13 +208,25 @@ def _format_size(size_bytes: int | None) -> str | None:
 OLLAMA_EMBEDDING_MODELS = [
     "mxbai-embed-large",
     "snowflake-arctic-embed",
+    "all-minilm",
 ]
 
 # Models that should never be shown (known to be broken or impractical)
 # nomic-embed-text crashes with EOF on content >5000 chars
 # all-minilm has 256 token context - too small for real documents
 BLOCKED_EMBEDDING_MODELS = ["nomic-embed-text", "all-minilm"]
 
+# Popular Ollama chat models to suggest for download
+OLLAMA_CHAT_MODELS = [
+    "llama3.2",
+    "llama3.1",
+    "mistral",
+    "phi3",
+    "gemma2",
+    "qwen2.5",
+    "deepseek-coder",
+]
+
 
 @router.get("/settings/models")
 async def get_available_models(provider: str | None = None) -> ModelsResponse:
@@ -246,6 +258,17 @@ async def get_available_models(provider: str | None = None) -> ModelsResponse:
         except Exception as e:
             print(f"Error fetching Ollama models: {e}")
 
+        # Add suggested chat models that aren't downloaded yet
+        downloaded_base_names = {m.name.split(":")[0] for m in models}
+        for model_name in OLLAMA_CHAT_MODELS:
+            if model_name not in downloaded_base_names:
+                models.append(ModelInfo(
+                    name=model_name,
+                    size=None,
+                    is_downloaded=False,
+                    context_window=get_context_window(model_name),
+                ))
+
         return ModelsResponse(
             models=models,
             current_model=config.settings.ollama_model,