hi, is there any way to load **json**

document = Document(
  text="...",
  metadata={"key1": "val",},
  excluded_llm_metadata_keys=["key1"],
  excluded_embed_metadata_keys=["key1"]
)

from llama_index.schema import MetadataMode
print(document.get_content(metadata_mode=MetadataMode.EMBED))

{"text": "Hello world!", "extra": "extra data"}

import json
from llama_index import SimpleDirectoryReader
from llama_index.readers.base import BaseReader
from llama_index.schema import Document


class JsonReader(BaseReader):
    def load_data(self, file, extra_info=None):
        with open(file, "r") as f:
            data = json.load(f)
        # load_data returns a list of Document objects
        extra_info = extra_info or {}
        extra_info["extra"] = data["extra"]

        return [Document(text=data["text"], extra_info=extra_info)]


reader = SimpleDirectoryReader(
    input_dir="./test_jsons", file_extractor={".json": JsonReader()}
)

documents = reader.load_data()

from llama_index.schema import MetadataMode

print("Embed data\n", documents[0].get_content(metadata_mode=MetadataMode.EMBED))
print("LLM data\n", documents[0].get_content(metadata_mode=MetadataMode.LLM))
print("All data\n", documents[0].get_content(metadata_mode=MetadataMode.ALL))

Embed data
file_path: test_jsons/test.json
extra: extra data

Hello world!
LLM data
file_path: test_jsons/test.json
extra: extra data

Hello world!
All data
file_path: test_jsons/test.json
file_name: test.json
file_type: application/json
file_size: 48
creation_date: 2023-11-25
last_modified_date: 2023-11-25
last_accessed_date: 2023-11-25
extra: extra data

Hello world!

extra_info = extra_info or {}
extra_info["extra"] = data["extra"]

return [Document(text=data["text"], extra_info=extra_info)]

llm = OpenAI(model="gpt-4")
agent = ReActAgent.from_tools([multiply_tool, add_tool], llm=llm, verbose=True)

prompt_dict = agent.get_prompts()
for k, v in prompt_dict.items():
    print(f"Prompt: {k}\n\nValue: {v.template}")

from llama_index.readers import JSONReader

# Create an instance of JSONReader
reader = JSONReader()

# List of JSON files
json_files = ["file1.json", "file2.json", "file3.json"]

# Load data from each file
documents = []
for file in json_files:
    documents.extend(reader.load_data(input_file=file))

from llama_index.prompts import PromptTemplate

react_system_header_str = """\

You are designed to help with a variety of tasks, from answering questions \
    to providing summaries to other types of analyses.

## Tools
You have access to a wide variety of tools. You are responsible for using
the tools in any sequence you deem appropriate to complete the task at hand.
This may require breaking the task into subtasks and using different tools
to complete each subtask.

You have access to the following tools:
{tool_desc}

## Output Format
To answer the question, please use the following format.

Please ALWAYS start with a Thought.

Please use a valid JSON format for the Action Input. Do NOT do this {{'input': 'hello world', 'num_beams': 5}}.

If this format is used, the user will respond in the following format:

You should keep repeating the above format until you have enough information
to answer the question without using any more tools. At that point, you MUST respond
in the one of the following two formats:

```
Thought: I cannot answer the question with the provided tools.
Answer: Sorry, I cannot answer your query.