Update health checks for Azure embedding configuration and enhance CHANGELOG

- Added a new function to validate Azure embedding deployment configurations, preventing false warnings during health checks.
- Updated CHANGELOG to document the addition of Azure embedding validation in health checks and suppression of related warnings.

Author: Wojciech Napierała

CHANGELOG.md

@@ -14,6 +14,7 @@ All notable changes to this project will be documented in this file. The format
 
 ### Fixed
 - Prevented GUI startup from crashing on systems without a graphical backend by falling back to CLI mode.
+- Suppressed false Azure embedding deployment warnings when the deployment is configured in `config.json`.
 
 ### Documentation
 - Expanded README with revision logging guidance and clarified ChromaDB deployment model.

core/health.py

@@ -3,6 +3,7 @@
 Updates:
     v0.1 - 2025-11-06 - Added runtime checks for Redis, ChromaDB, litellm, and
         credential prerequisites with informative warnings.
+    v0.2 - 2025-11-07 - Treated configured Azure embedding deployments as valid.
 """
 
 from __future__ import annotations
@@ -13,7 +14,7 @@
 from pathlib import Path
 from typing import Any, List, cast
 
-from config.settings import AppConfig
+from config.settings import AppConfig, EmbeddingConfig
 from core.exceptions import HealthCheckError
 
 
@@ -111,9 +112,27 @@ def _check_credentials(config: AppConfig) -> List[str]:
 
     embedding = config.embedding
     if embedding and embedding.provider.lower() == "azure":
-        if not os.getenv("AZURE_OPENAI_EMBEDDING_DEPLOYMENT"):
+        if not _is_azure_embedding_configured(embedding):
             warnings.append(
                 "Azure embedding deployment not set; defaulting to model identifier."
             )
 
     return warnings
+
+
+_OPENAI_STANDARD_EMBEDDING_MODELS = {
+    "text-embedding-3-large",
+    "text-embedding-3-small",
+}
+
+
+def _is_azure_embedding_configured(embedding: EmbeddingConfig) -> bool:
+    """Return True when an Azure embedding deployment name is configured."""
+    if os.getenv("AZURE_OPENAI_EMBEDDING_DEPLOYMENT"):
+        return True
+
+    model_name = embedding.model.strip()
+    if not model_name:
+        return False
+
+    return model_name.lower() not in _OPENAI_STANDARD_EMBEDDING_MODELS