def parse_result(self, result: list[Generation], *, partial: bool = False) -> Any:
        """Parse the result of an LLM call to a JSON object.
        Args:
            result: The result of the LLM call.
            partial: Whether to parse partial JSON objects.
                If True, the output will be a JSON object containing
                all the keys that have been returned so far.
                If False, the output will be the full JSON object.
                Default is False.
        Returns:
            The parsed JSON object.
        Raises:
            OutputParserException: If the output is not valid JSON.
        """
        text = result[0].text
        text = text.strip()
        if partial:
            try:
                return parse_json_markdown(text)
            except JSONDecodeError:
                return None
        else:
            try:
                return parse_json_markdown(text)
            except JSONDecodeError as e:
                msg = f"Invalid json output: {text}"
                raise OutputParserException(msg, llm_output=text) from e

def parse_partial_json(s: str, *, strict: bool = False) -> Any:
    """Parse a JSON string that may be missing closing braces.
    Args:
        s: The JSON string to parse.
        strict: Whether to use strict parsing. Defaults to False.
    Returns:
        The parsed JSON object as a Python dictionary.
    """
    # Attempt to parse the string as-is.
    try:
        return json.loads(s, strict=strict)
    except json.JSONDecodeError:
        pass

    # Initialize variables.
    new_chars = []
    stack = []
    is_inside_string = False
    escaped = False

    # Process each character in the string one at a time.
    for char in s:
        if is_inside_string:
            if char == '"' and not escaped:
                is_inside_string = False
            elif char == "\n" and not escaped:
                char = "\\n"  # Replace the newline character with the escape sequence.
            elif char == "\\":
                escaped = not escaped
            else:
                escaped = False
        else:
            if char == '"':
                is_inside_string = True
                escaped = False
            elif char == "{":
                stack.append("}")
            elif char == "[":
                stack.append("]")
            elif char == "}" or char == "]":
                if stack and stack[-1] == char:
                    stack.pop()
                else:
                    # Mismatched closing character; the input is malformed.
                    return None

        # Append the processed character to the new string.
        new_chars.append(char)

    # If we're still inside a string at the end of processing,
    # we need to close the string.
    if is_inside_string:
        new_chars.append('"')

    # Reverse the stack to get the closing characters.
    stack.reverse()

    # Try to parse mods of string until we succeed or run out of characters.
    while new_chars:
        # Close any remaining open structures in the reverse
        # order that they were opened.
        # Attempt to parse the modified string as JSON.
        try:
            return json.loads("".join(new_chars + stack), strict=strict)
        except json.JSONDecodeError:
            # If we still can't parse the string as JSON,
            # try removing the last character
            new_chars.pop()

    # If we got here, we ran out of characters to remove
    # and still couldn't parse the string as JSON, so return the parse error
    # for the original string.
    return json.loads(s, strict=strict)


def parse_json_markdown(
    json_string: str, *, parser: Callable[[str], Any] = parse_partial_json
) -> dict:
    """Parse a JSON string from a Markdown string.
    Args:
        json_string: The Markdown string.
    Returns:
        The parsed JSON object as a Python dictionary.
    """
    try:
        return parsejson(json_string, parser=parser)
    except json.JSONDecodeError:
        # Try to find JSON string within triple backticks
        match = jsonmarkdown_re.search(json_string)
        # If no match found, assume the entire string is a JSON string
        # Else, use the content within the backticks
        json_str = json_string if match is None else match.group(2)

    return parsejson(json_str, parser=parser)


def parsejson(
    json_str: str, *, parser: Callable[[str], Any] = parse_partial_json
) -> dict:
    # Strip whitespace,newlines,backtick from the start and end
    json_str = json_str.strip(_json_strip_chars)
    # handle newlines and other special characters inside the returned value
    json_str = customparser(json_str)
    # Parse the JSON string into a Python dictionary
    return parser(json_str)

JSON_FORMAT_INSTRUCTIONS = """The output should be formatted as a JSON instance that conforms to the JSON schema below.
As an example, for the schema {{"properties": {{"foo": {{"title": "Foo", "description": "a list of strings", "type": "array", "items": {{"type": "string"}}}}}}, "required": ["foo"]}}
the object {{"foo": ["bar", "baz"]}} is a well-formatted instance of the schema. The object {{"properties": {{"foo": ["bar", "baz"]}}}} is not well-formatted.

Here is the output schema:
{schema}
"""

PYDANTICFORMAT_INSTRUCTIONS = """The output should be formatted as a JSON instance that conforms to the JSON schema below.
As an example, for the schema {{"properties": {{"foo": {{"title": "Foo", "description": "a list of strings", "type": "array", "items": {{"type": "string"}}}}}}, "required": ["foo"]}}
the object {{"foo": ["bar", "baz"]}} is a well-formatted instance of the schema. The object {{"properties": {{"foo": ["bar", "baz"]}}}} is not well-formatted.

Here is the output schema:
{schema}
"""

import os

import openai

os.environ["OPENAI_API_KEY"] = "sk-proj-xxx"

if name == "__main__":
    client = openai.OpenAI()
    user_prompt: str = "「兵庫県神戸市中央区浪花町64 三宮電電ビル5階」の都道府県と市区町村における天気を教えてください。"
    messages = [
        {
            "role": "system",
            "content": "You are a helpful assistant. The current date is August 6, 2024. You help users query for the data they are looking for by calling the query function.",
        },
        {
            "role": "user",
            "content": user_prompt,
        },
    ]
    tools = [
        {
            "type": "function",
            "function": {
                "name": "get_weather",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "prefecture": {"type": "string"},
                        "city": {"type": "string"},
                    },
                    "required": ["prefecture", "city"],
                },
            },
        }
    ]

    completion = client.chat.completions.create(
        model="gpt-4o-mini",
        messages=messages,
        tools=tools,
    )

    print(completion.choices[0].message.tool_calls)

$ rye run python src/function_calling.py

[ChatCompletionMessageToolCall(id='call_CrrhyoPtVEIXrVTzAePlJImj', function=Function(arguments='{"prefecture": "兵庫県", "city": "神戸市"}', name='get_weather'), type='function'), ChatCompletionMessageToolCall(id='call_7wHDOEtcdak4W9IVXVDSFSLa', function=Function(arguments='{"prefecture": "兵庫県", "city": "中央区"}', name='get_weather'), type='function')]

import os

import openai
import pydantic

os.environ["OPENAI_API_KEY"] = "sk-proj-xxx"


class Address(pydantic.BaseModel):
    prefecture: str
    city: str


if name == "__main__":
    client = openai.OpenAI()
    user_prompt: str = "「兵庫県神戸市中央区浪花町64 三宮電電ビル5階」の都道府県と市区町村における天気を教えてください。"
    messages = [
        {
            "role": "system",
            "content": "You are a helpful assistant. The current date is August 6, 2024. You help users query for the data they are looking for by calling the query function.",
        },
        {
            "role": "user",
            "content": user_prompt,
        },
    ]

    completion = client.beta.chat.completions.parse(
        model="gpt-4o-mini",
        messages=messages,
        response_format=Address
    )

    print(completion.choices[0].message.parsed)

$ rye run python src/response_format.py
prefecture='兵庫県' city='神戸市中央区'

以下のJSONスキーマに準拠したJSONインスタンスとして出力してください。

例として、スキーマ
{{"properties": {{"foo": {{"title": "Foo", "description": "a list of strings", "type": "array", "items": {{"type": "string"}}}}}}, "required": ["foo"]}}
the object {{"foo": ["bar", "baz"]}}
は、スキーマの整形されたJSON形式です。

オブジェクト
{{"properties": {{"foo": ["bar", "baz"]}}}}
は正確にフォーマットされたJSON形式ではありません。

以下は出力スキーマです：
{スキーマ｝

以下のJSONスキーマに準拠したJSONインスタンスとして出力してください。
例として、スキーマ
{{"properties": {{"foo": {{"title": "Foo", "description": "a list of strings", "type": "array", "items": {{"type": "string"}}}}}}, "required": ["foo"]}}
the object {{"foo": ["bar", "baz"]}}
は、スキーマの整形されたJSON形式です。

オブジェクト
{{"properties": {{"foo": ["bar", "baz"]}}}}
は正確にフォーマットされたJSON形式ではありません。

以下は出力スキーマです：
{スキーマ｝

以下は出力して欲しいJSON形式のサンプルです：
{"prefecture": "大阪府", "city": "高槻市"}
{"prefecture": "兵庫県", "city": "神戸市中央区"}
{"prefecture": "東京都", "city": "豊島区"}

import os

import openai

os.environ["OPENAI_API_KEY"] = "sk-proj-xxx"

if name == "__main__":
    client = openai.OpenAI()
    user_prompt: str = "「兵庫県神戸市中央区浪花町64 三宮電電ビル5階」の都道府県と市区町村における天気を教えてください。"
    system_prompt: str = """
        あなたは、有用なアシスタントです。現在の日付は2024年8月6日です。query関数を呼び出すことで、ユーザーが探しているデータを問い合わせるのを手伝います。
        query関数には、下記のようなデータを渡すことができます。
        {"prefecture": "大阪府", "city": "高槻市"}
        {"prefecture": "兵庫県", "city": "神戸市中央区"}
        {"prefecture": "東京都", "city": "豊島区"}
    """
    messages = [
        {
            "role": "system",
            "content": system_prompt,
        },
        {
            "role": "user",
            "content": user_prompt,
        },
    ]

    tools = [
        {
            "type": "function",
            "function": {
                "name": "get_weather",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "prefecture": {"type": "string"},
                        "city": {"type": "string"},
                    },
                    "required": ["prefecture", "city"],
                },
            },
        }
    ]

    completion = client.chat.completions.create(
        model="gpt-4o-mini",
        messages=messages,
        tools=tools,
    )

    print(completion.choices[0].message.tool_calls)

$ rye run python src/main.py
[ChatCompletionMessageToolCall(id='call_M4OKMlbAMcQRvLWEcM3u32nD', function=Function(arguments='{"prefecture": "兵庫県", "city": "神戸市中央区"}', name='get_weather'), type='function'), ChatCompletionMessageToolCall(id='call_mNrAhIWeqBEobSFRWGp3dojC', function=Function(arguments='{"prefecture": "兵庫県", "city": "神戸市"}', name='get_weather'), type='function')]