v2.20.3

[2.20.3] - 2026-10-25

Maintenance

• AI service reliability: Improved concurrent batching for Gemini embeddings and OpenAI reranking, and moved blocking translation, image, and video work off the event loop.
• Provider cleanup: Consolidated common error logging, connection checks, reasoning settings, audio configuration lookup, and other duplicated code without changing provider-specific behavior. Provider errors containing braces no longer disrupt error handling.
• Gemini client sharing: Gemini services using the same API key now share a client, with safe concurrent creation and cleanup when services close.
• Shared temperature/token-parameter capability hooks: The OpenAI and Azure vision providers' duplicated logic for picking the right token-count parameter (max_tokens/max_completion_tokens/max_output_tokens) and for deciding whether a model accepts a custom temperature now lives on OpenAIBaseService/AzureBaseService instead of being copied per service. No behavior change; azure_openai_inference_service.py's own hardcoded parameters are intentionally left as-is pending a separate decision.