Kevin Turcios 9b3cd48048 Raise LLMOutputUnparseable on empty LLM responses instead of silently returning "" ... When Azure OpenAI or Anthropic returns null/empty content (content filter, truncation, transient failure), call_openai/call_anthropic now raise LLMOutputUnparseable instead of returning an empty string that silently flows through the pipeline and produces 422 "Could not generate any optimizations." All optimizer callers catch LLMOutputUnparseable to preserve cost tracking while returning None.		2026-04-21 05:59:07 -05:00
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aiservice	Raise LLMOutputUnparseable on empty LLM responses instead of silently returning ""	2026-04-21 05:59:07 -05:00
.dockerignore	local setup (#1898)	2025-11-17 12:35:09 -08:00