how to invoke rag chain with two input?

I'm trying to invoke the rag chain with two input variable but I'm getting error.

def get_data_from_llm(raw_text):    # Initialize the LLM and create a chain    llm = Together(        model="mistralai/Mixtral-8x7B-Instruct-v0.1",        temperature=0.7,        max_tokens=2048,        top_k=1,        together_api_key="api_key_here",    )    # chain = LLMChain(llm=llm, prompt=prompt_template,          output_parser=JsonOutputParser(pydantic_object=InvoiceJSON))    json_parser = SimpleJsonOutputParser(pydantic_object=InvoiceJSON)    prompt_template = PromptTemplate(        input_variables=["raw_text"],        template="'raw_text': {raw_text},\n'json_structure': {json_structure}",        partial_variables={"json_structure": json_parser.get_format_instructions()},    )    few_shot_prompt = FewShotPromptTemplate(        examples=few_shot_examples,        example_prompt=prompt_template,        prefix=json_prefix,        suffix=suffix,        input_variables=['json_structure']    )    # Run the chain with the raw text    chain = {"raw_text": RunnablePassthrough(), "json_structure": RunnableLambda(get_structure)} | few_shot_prompt | llm #| json_parser    chain_data = chain.invoke(raw_text)    print(chain_data)    return chain_data

for the above code I'm getting this error below

Traceback (most recent call last):  File "D:\my_scripts\Invoice-Data-Extraction-Bot-using-LLAMA-2-and-Streamlit\utils.py", line 136, in <module>    print(create_docs('Deccan Sources - 1173 - 12.12.22_12122022113240_15122022184846.pdf'))  File "D:\my_scripts\Invoice-Data-Extraction-Bot-using-LLAMA-2-and-Streamlit\utils.py", line 116, in create_docs    llm_extracted_data = get_data_from_llm(raw_data)  File "D:\my_scripts\Invoice-Data-Extraction-Bot-using-LLAMA-2-and-Streamlit\examples.py", line 127, in get_data_from_llm    chain_data = chain.invoke(raw_text)  File "D:\my_scripts\Invoice-Data-Extraction-Bot-using-LLAMA-2-and-Streamlit\virenv\lib\site-packages\langchain_core\runnables\base.py", line 2493, in invoke    input = step.invoke(  File "D:\my_scripts\Invoice-Data-Extraction-Bot-using-LLAMA-2-and-Streamlit\virenv\lib\site-packages\langchain_core\prompts\base.py", line 128, in invoke    return self._call_with_config(  File "D:\my_scripts\Invoice-Data-Extraction-Bot-using-LLAMA-2-and-Streamlit\virenv\lib\site-packages\langchain_core\runnables\base.py", line 1620, in _call_with_config    context.run(  File "D:\my_scripts\Invoice-Data-Extraction-Bot-using-LLAMA-2-and-Streamlit\virenv\lib\site-packages\langchain_core\runnables\config.py", line 347, in call_func_with_variable_args    return func(input, **kwargs)  # type: ignore[call-arg]  File "D:\my_scripts\Invoice-Data-Extraction-Bot-using-LLAMA-2-and-Streamlit\virenv\lib\site-packages\langchain_core\prompts\base.py", line 112, in _format_prompt_with_error_handling    return self.format_prompt(**_inner_input)  File "D:\my_scripts\Invoice-Data-Extraction-Bot-using-LLAMA-2-and-Streamlit\virenv\lib\site-packages\langchain_core\prompts\string.py", line 229, in format_prompt    return StringPromptValue(text=self.format(**kwargs))  File "D:\my_scripts\Invoice-Data-Extraction-Bot-using-LLAMA-2-and-Streamlit\virenv\lib\site-packages\langchain_core\prompts\few_shot.py", line 165, in format    return DEFAULT_FORMATTER_MAPPING[self.template_format](template, **kwargs)  File "C:\Program Files\Python310\lib\string.py", line 161, in format    return self.vformat(format_string, args, kwargs)  File "D:\my_scripts\Invoice-Data-Extraction-Bot-using-LLAMA-2-and-Streamlit\virenv\lib\site-packages\langchain_core\utils\formatting.py", line 19, in vformat    return super().vformat(format_string, args, kwargs)  File "C:\Program Files\Python310\lib\string.py", line 165, in vformat    result, _ = self._vformat(format_string, args, kwargs, used_args, 2)  File "C:\Program Files\Python310\lib\string.py", line 205, in _vformat    obj, arg_used = self.get_field(field_name, args, kwargs)  File "C:\Program Files\Python310\lib\string.py", line 270, in get_field    obj = self.get_value(first, args, kwargs)  File "C:\Program Files\Python310\lib\string.py", line 227, in get_value    return kwargs[key]KeyError: '"properties"'

I have tried two different way but getting almost same error in other cases also.

1.

chain = few_shot_prompt | llmchain_data = chain.invoke({{"raw_text": raw_text, "json_structure": json_structure}print(chain_data)

chain = {"raw_text": RunnablePassthrough(), "json_structure": json_structure} | few_shot_prompt | llm  chain_data = chain.invoke(raw_text)print(chain_data)

Can anyone suggest what I'm doing wrong here or if have any other efficient way to do it let me know?