Extract shared build_llm_kwargs_from_options() utility in actor/config.py
that converts actor-level YAML options (openai_api_base, openai_api_key,
temperature, max_tokens, etc.) into kwargs for ProviderRegistry.create_llm().
Add options field to ActorConfigSchema so it survives Pydantic validation
instead of being silently dropped by extra='ignore' default.
Add resolve_actor_options() to PlanLifecycleService and both LifecycleService
and PlanLifecycleProtocol protocols so every call site can retrieve the
actor's config_blob.options dict.
Fix the four call sites that previously called create_llm() with zero extra
kwargs, preventing local/custom LLM backends from working:
- StrategyActor._execute_with_llm() in strategy_actor.py
- LLMStrategizeActor.execute() in llm_actors.py
- LLMExecuteActor.execute() in llm_actors.py
- SessionWorkflow._resolve_llm() in session_workflow.py
Refactor reactive path (stream_router.py, tool_caller.py) to use the
shared build_llm_kwargs_from_options() utility instead of inline copies.
Wire actor_options_resolver through CLI session builder and A2A facade.
ISSUES CLOSED: #11256
CoreRasurae