+ aKj,^RIHtHt!RR]4tR#))ABCabstractmethodc@a]tRt^toRt]V3RlRl4tRtVtR#) LLMProvideraProvider-agnostic interface every LLM backend must implement. Every service (itinerary generation, reply drafting, ...) is written against this interface only - never against a vendor SDK directly. Swapping OpenAI for Anthropic, or cloud for a local Ollama model, is a one-line change in providers/factory.py and an env var; nothing in app/services/ or app/prompts.py has to change. c<<V^8dQhRS[RS[S[,RS[/#) system_promptmessagesreturn)strlistdict)format __classdict__s":C:\xampp\htdocs\meridian\meridian-ai\app\providers\base.py __annotate__LLMProvider.__annotate__s& " "3 "$t* " "c \h)a Run one completion and return the parsed JSON object the model produced. `messages` is a list of {"role": "user"|"assistant", "content": str} - the system prompt is passed separately since not every provider's wire format allows a "system" entry inside the messages list (Anthropic doesn't). Raises whatever the underlying SDK raises on a transport/API error, and json.JSONDecodeError if the model's output can't be parsed as JSON even after the implementation's own cleanup - callers are expected to catch and wrap both. )NotImplementedError)selfr r s&&&r complete_jsonLLMProvider.complete_json s "!rN) __name__ __module__ __qualname____firstlineno____doc__rr__static_attributes____classdictcell__)rs@rrrs " "rrN)abcrrrrrrr#s#"#"r