The suggester pins temperature=0.2 for tool-selection determinism and passed no
drop_params, so an operator-supplied reasoning model whose only accepted temperature is 1
made litellm raise UnsupportedParamsError and the whole suggestion fail. The default
gpt-4o-mini is unaffected; the failure needs the caller to name a model.
Every other internal LLM call the proxy makes on a user's behalf already opts in through
judge_acompletion, which sets drop_params=True on both dispatch paths. This was the one
caller outside that contract, so the sampling preference is now advisory here too and the
call degrades instead of dying.
Resolves LIT-6352
* fix aviation safety topic filter: remove overly broad exceptions, add cockpit access block words
* fix airline brand protection filter: add identifier words, competitor/ops block words, tighten exceptions
* add example_sentences to all policy templates + topic-filtering and prompt-injection templates
* add policy_endpoints package with AI policy suggester
* update test patch targets for policy_endpoints package move
* add unit tests for AI policy suggester
* add suggestPolicyTemplates networking function
* add AI suggestion modal component
* add Use AI button and template loading callback to PolicyTemplates
* wire up AI suggestion modal in policies page
* fix policy_templates_backup.json path after package move
* add estimated_latency field to all policy templates
* use llm_router and accept model parameter in ai_policy_suggester
* add model param to suggest templates endpoint
* pass model param in suggestPolicyTemplates
* polish ai suggestion modal: model selector, auto-growing textareas, latency badges
* add template queue for processing multiple AI-suggested templates
* show template progress badge in guardrail selection modal
