function_app/bp_doc_intel_extract_city_names.py [121:139]:
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    )
    llm_input_messages: Optional[list[dict]] = Field(
        None, description="The messages that were sent to the LLM."
    )
    llm_reply_message: Optional[dict] = Field(
        default=None, description="The message that was received from the LLM."
    )
    llm_raw_response: Optional[str] = Field(
        None, description="The raw text response from the LLM."
    )
    llm_time_taken_secs: Optional[float] = Field(
        None, description="The time taken to receive a response from the LLM."
    )


LLM_SYSTEM_PROMPT = (
    "Your task is to review the following information and extract all city names that appear in the text.\n"
    f"{LLMCityNamesModel.get_prompt_json_example(include_preceding_json_instructions=True)}"
)
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function_app/bp_pymupdf_extract_city_names.py [101:119]:
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    )
    llm_input_messages: Optional[list[dict]] = Field(
        None, description="The messages that were sent to the LLM."
    )
    llm_reply_message: Optional[dict] = Field(
        default=None, description="The message that was received from the LLM."
    )
    llm_raw_response: Optional[str] = Field(
        None, description="The raw text response from the LLM."
    )
    llm_time_taken_secs: Optional[float] = Field(
        None, description="The time taken to receive a response from the LLM."
    )


LLM_SYSTEM_PROMPT = (
    "Your task is to review the following information and extract all city names that appear in the text.\n"
    f"{LLMCityNamesModel.get_prompt_json_example(include_preceding_json_instructions=True)}"
)
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