diff --git a/PR/# remove comments in output json str, after js b/PR/# remove comments in output json str, after js
new file mode 100644
index 000000000..f795fefdb
--- /dev/null
+++ b/PR/# remove comments in output json str, after js	
@@ -0,0 +1,12 @@
+
+git commit -m "To avoid JSONDecodeError: " -m "Remove comments in output json str, after json value content, maybe start with #, maybe start with //, particularly, it is not inside the string value" -m "Addtionly, if you do not want JSONDecodeError to occur, you can add 'Delete comments in json' after FORMAT_CONSTRAINT in action_node.py"
+
+
+
+git commit -m "Addtionly, if you do not want JSONDecodeError to occur, you can add 'Delete comments in json' after FORMAT_CONSTRAINT in action_node.py"
+
+
+
+
+
+
diff --git a/PR/action_node.py b/PR/action_node.py
new file mode 100644
index 000000000..0f441cfee
--- /dev/null
+++ b/PR/action_node.py
@@ -0,0 +1,351 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+"""
+@Time    : 2023/12/11 18:45
+@Author  : alexanderwu
+@File    : action_node.py
+
+NOTE: You should use typing.List instead of list to do type annotation. Because in the markdown extraction process,
+  we can use typing to extract the type of the node, but we cannot use built-in list to extract.
+"""
+import json
+from typing import Any, Dict, List, Optional, Tuple, Type
+
+from pydantic import BaseModel, create_model, model_validator
+from tenacity import retry, stop_after_attempt, wait_random_exponential
+
+from metagpt.config import CONFIG
+from metagpt.llm import BaseLLM
+from metagpt.logs import logger
+from metagpt.provider.postprocess.llm_output_postprocess import llm_output_postprocess
+from metagpt.utils.common import OutputParser, general_after_log
+
+TAG = "CONTENT"
+
+LANGUAGE_CONSTRAINT = "Language: Please use the same language as Human INPUT."
+FORMAT_CONSTRAINT = f"Format: output wrapped inside [{TAG}][/{TAG}] like format example, nothing else."
+# Delete comments in json
+# If you don't want JSONDecodeError to occur, you can add Delete comments in json after FORMAT_CONSTRAINT
+
+
+SIMPLE_TEMPLATE = """
+## context
+{context}
+
+-----
+
+## format example
+{example}
+
+## nodes: "<node>: <type>  # <instruction>"
+{instruction}
+
+## constraint
+{constraint}
+
+## action
+Follow instructions of nodes, generate output and make sure it follows the format example.
+"""
+
+
+def dict_to_markdown(d, prefix="- ", kv_sep="\n", postfix="\n"):
+    markdown_str = ""
+    for key, value in d.items():
+        markdown_str += f"{prefix}{key}{kv_sep}{value}{postfix}"
+    return markdown_str
+
+
+class ActionNode:
+    """ActionNode is a tree of nodes."""
+
+    schema: str  # raw/json/markdown, default: ""
+
+    # Action Context
+    context: str  # all the context, including all necessary info
+    llm: BaseLLM  # LLM with aask interface
+    children: dict[str, "ActionNode"]
+
+    # Action Input
+    key: str  # Product Requirement / File list / Code
+    expected_type: Type  # such as str / int / float etc.
+    # context: str  # everything in the history.
+    instruction: str  # the instructions should be followed.
+    example: Any  # example for In Context-Learning.
+
+    # Action Output
+    content: str
+    instruct_content: BaseModel
+
+    def __init__(
+        self,
+        key: str,
+        expected_type: Type,
+        instruction: str,
+        example: Any,
+        content: str = "",
+        children: dict[str, "ActionNode"] = None,
+        schema: str = "",
+    ):
+        self.key = key
+        self.expected_type = expected_type
+        self.instruction = instruction
+        self.example = example
+        self.content = content
+        self.children = children if children is not None else {}
+        self.schema = schema
+
+    def __str__(self):
+        return (
+            f"{self.key}, {repr(self.expected_type)}, {self.instruction}, {self.example}"
+            f", {self.content}, {self.children}"
+        )
+
+    def __repr__(self):
+        return self.__str__()
+
+    def add_child(self, node: "ActionNode"):
+        """增加子ActionNode"""
+        self.children[node.key] = node
+
+    def add_children(self, nodes: List["ActionNode"]):
+        """批量增加子ActionNode"""
+        for node in nodes:
+            self.add_child(node)
+
+    @classmethod
+    def from_children(cls, key, nodes: List["ActionNode"]):
+        """直接从一系列的子nodes初始化"""
+        obj = cls(key, str, "", "")
+        obj.add_children(nodes)
+        return obj
+
+    def get_children_mapping(self, exclude=None) -> Dict[str, Tuple[Type, Any]]:
+        """获得子ActionNode的字典，以key索引"""
+        exclude = exclude or []
+        return {k: (v.expected_type, ...) for k, v in self.children.items() if k not in exclude}
+
+    def get_self_mapping(self) -> Dict[str, Tuple[Type, Any]]:
+        """get self key: type mapping"""
+        return {self.key: (self.expected_type, ...)}
+
+    def get_mapping(self, mode="children", exclude=None) -> Dict[str, Tuple[Type, Any]]:
+        """get key: type mapping under mode"""
+        if mode == "children" or (mode == "auto" and self.children):
+            return self.get_children_mapping(exclude=exclude)
+        return {} if exclude and self.key in exclude else self.get_self_mapping()
+
+    @classmethod
+    def create_model_class(cls, class_name: str, mapping: Dict[str, Tuple[Type, Any]]):
+        """基于pydantic v1的模型动态生成，用来检验结果类型正确性"""
+
+        def check_fields(cls, values):
+            required_fields = set(mapping.keys())
+            missing_fields = required_fields - set(values.keys())
+            if missing_fields:
+                raise ValueError(f"Missing fields: {missing_fields}")
+
+            unrecognized_fields = set(values.keys()) - required_fields
+            if unrecognized_fields:
+                logger.warning(f"Unrecognized fields: {unrecognized_fields}")
+            return values
+
+        validators = {"check_missing_fields_validator": model_validator(mode="before")(check_fields)}
+
+        new_class = create_model(class_name, __validators__=validators, **mapping)
+        return new_class
+
+    def create_children_class(self, exclude=None):
+        """使用object内有的字段直接生成model_class"""
+        class_name = f"{self.key}_AN"
+        mapping = self.get_children_mapping(exclude=exclude)
+        return self.create_model_class(class_name, mapping)
+
+    def to_dict(self, format_func=None, mode="auto", exclude=None) -> Dict:
+        """将当前节点与子节点都按照node: format的格式组织成字典"""
+
+        # 如果没有提供格式化函数，使用默认的格式化方式
+        if format_func is None:
+            format_func = lambda node: f"{node.instruction}"
+
+        # 使用提供的格式化函数来格式化当前节点的值
+        formatted_value = format_func(self)
+
+        # 创建当前节点的键值对
+        if mode == "children" or (mode == "auto" and self.children):
+            node_dict = {}
+        else:
+            node_dict = {self.key: formatted_value}
+
+        if mode == "root":
+            return node_dict
+
+        # 遍历子节点并递归调用 to_dict 方法
+        exclude = exclude or []
+        for _, child_node in self.children.items():
+            if child_node.key in exclude:
+                continue
+            node_dict.update(child_node.to_dict(format_func))
+
+        return node_dict
+
+    def compile_to(self, i: Dict, schema, kv_sep) -> str:
+        if schema == "json":
+            return json.dumps(i, indent=4)
+        elif schema == "markdown":
+            return dict_to_markdown(i, kv_sep=kv_sep)
+        else:
+            return str(i)
+
+    def tagging(self, text, schema, tag="") -> str:
+        if not tag:
+            return text
+        if schema == "json":
+            return f"[{tag}]\n" + text + f"\n[/{tag}]"
+        else:  # markdown
+            return f"[{tag}]\n" + text + f"\n[/{tag}]"
+
+    def _compile_f(self, schema, mode, tag, format_func, kv_sep, exclude=None) -> str:
+        nodes = self.to_dict(format_func=format_func, mode=mode, exclude=exclude)
+        text = self.compile_to(nodes, schema, kv_sep)
+        return self.tagging(text, schema, tag)
+
+    def compile_instruction(self, schema="markdown", mode="children", tag="", exclude=None) -> str:
+        """compile to raw/json/markdown template with all/root/children nodes"""
+        format_func = lambda i: f"{i.expected_type}  # {i.instruction}"
+        return self._compile_f(schema, mode, tag, format_func, kv_sep=": ", exclude=exclude)
+
+    def compile_example(self, schema="json", mode="children", tag="", exclude=None) -> str:
+        """compile to raw/json/markdown examples with all/root/children nodes"""
+
+        # 这里不能使用f-string，因为转译为str后再json.dumps会额外加上引号，无法作为有效的example
+        # 错误示例："File list": "['main.py', 'const.py', 'game.py']", 注意这里值不是list，而是str
+        format_func = lambda i: i.example
+        return self._compile_f(schema, mode, tag, format_func, kv_sep="\n", exclude=exclude)
+
+    def compile(self, context, schema="json", mode="children", template=SIMPLE_TEMPLATE, exclude=[]) -> str:
+        """
+        mode: all/root/children
+            mode="children": 编译所有子节点为一个统一模板，包括instruction与example
+            mode="all": NotImplemented
+            mode="root": NotImplemented
+        schmea: raw/json/markdown
+            schema="raw": 不编译，context, lang_constaint, instruction
+            schema="json"：编译context, example(json), instruction(markdown), constraint, action
+            schema="markdown": 编译context, example(markdown), instruction(markdown), constraint, action
+        """
+        if schema == "raw":
+            return context + "\n\n## Actions\n" + LANGUAGE_CONSTRAINT + "\n" + self.instruction
+
+        # FIXME: json instruction会带来格式问题，如："Project name": "web_2048  # 项目名称使用下划线",
+        # compile example暂时不支持markdown
+        instruction = self.compile_instruction(schema="markdown", mode=mode, exclude=exclude)
+        example = self.compile_example(schema=schema, tag=TAG, mode=mode, exclude=exclude)
+        # nodes = ", ".join(self.to_dict(mode=mode).keys())
+        constraints = [LANGUAGE_CONSTRAINT, FORMAT_CONSTRAINT]
+        constraint = "\n".join(constraints)
+
+        prompt = template.format(
+            context=context,
+            example=example,
+            instruction=instruction,
+            constraint=constraint,
+        )
+        return prompt
+
+    @retry(
+        wait=wait_random_exponential(min=1, max=20),
+        stop=stop_after_attempt(6),
+        after=general_after_log(logger),
+    )
+    async def _aask_v1(
+        self,
+        prompt: str,
+        output_class_name: str,
+        output_data_mapping: dict,
+        system_msgs: Optional[list[str]] = None,
+        schema="markdown",  # compatible to original format
+        timeout=CONFIG.timeout,
+    ) -> (str, BaseModel):
+        """Use ActionOutput to wrap the output of aask"""
+        content = await self.llm.aask(prompt, system_msgs, timeout=timeout)
+        logger.debug(f"llm raw output:\n{content}")
+        output_class = self.create_model_class(output_class_name, output_data_mapping)
+
+        if schema == "json":
+            parsed_data = llm_output_postprocess(
+                output=content, schema=output_class.model_json_schema(), req_key=f"[/{TAG}]"
+            )
+        else:  # using markdown parser
+            parsed_data = OutputParser.parse_data_with_mapping(content, output_data_mapping)
+
+        logger.debug(f"parsed_data:\n{parsed_data}")
+        instruct_content = output_class(**parsed_data)
+        return content, instruct_content
+
+    def get(self, key):
+        return self.instruct_content.model_dump()[key]
+
+    def set_recursive(self, name, value):
+        setattr(self, name, value)
+        for _, i in self.children.items():
+            i.set_recursive(name, value)
+
+    def set_llm(self, llm):
+        self.set_recursive("llm", llm)
+
+    def set_context(self, context):
+        self.set_recursive("context", context)
+
+    async def simple_fill(self, schema, mode, timeout=CONFIG.timeout, exclude=None):
+        prompt = self.compile(context=self.context, schema=schema, mode=mode, exclude=exclude)
+
+        if schema != "raw":
+            mapping = self.get_mapping(mode, exclude=exclude)
+            class_name = f"{self.key}_AN"
+            content, scontent = await self._aask_v1(prompt, class_name, mapping, schema=schema, timeout=timeout)
+            self.content = content
+            self.instruct_content = scontent
+        else:
+            self.content = await self.llm.aask(prompt)
+            self.instruct_content = None
+
+        return self
+
+    async def fill(self, context, llm, schema="json", mode="auto", strgy="simple", timeout=CONFIG.timeout, exclude=[]):
+        """Fill the node(s) with mode.
+
+        :param context: Everything we should know when filling node.
+        :param llm: Large Language Model with pre-defined system message.
+        :param schema: json/markdown, determine example and output format.
+         - raw: free form text
+         - json: it's easy to open source LLM with json format
+         - markdown: when generating code, markdown is always better
+        :param mode: auto/children/root
+         - auto: automated fill children's nodes and gather outputs, if no children, fill itself
+         - children: fill children's nodes and gather outputs
+         - root: fill root's node and gather output
+        :param strgy: simple/complex
+         - simple: run only once
+         - complex: run each node
+        :param timeout: Timeout for llm invocation.
+        :param exclude: The keys of ActionNode to exclude.
+        :return: self
+        """
+        self.set_llm(llm)
+        self.set_context(context)
+        if self.schema:
+            schema = self.schema
+
+        if strgy == "simple":
+            return await self.simple_fill(schema=schema, mode=mode, timeout=timeout, exclude=exclude)
+        elif strgy == "complex":
+            # 这里隐式假设了拥有children
+            tmp = {}
+            for _, i in self.children.items():
+                if exclude and i.key in exclude:
+                    continue
+                child = await i.simple_fill(schema=schema, mode=mode, timeout=timeout, exclude=exclude)
+                tmp.update(child.instruct_content.dict())
+            cls = self.create_children_class()
+            self.instruct_content = cls(**tmp)
+            return self
diff --git a/PR/repair_llm_raw_output.py b/PR/repair_llm_raw_output.py
new file mode 100644
index 000000000..4995918c2
--- /dev/null
+++ b/PR/repair_llm_raw_output.py
@@ -0,0 +1,351 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+# @Desc   : repair llm raw output with particular conditions
+
+import copy
+from enum import Enum
+from typing import Callable, Union
+
+import regex as re
+from tenacity import RetryCallState, retry, stop_after_attempt, wait_fixed
+
+from metagpt.config import CONFIG
+from metagpt.logs import logger
+from metagpt.utils.custom_decoder import CustomDecoder
+
+
+class RepairType(Enum):
+    CS = "case sensitivity"
+    RKPM = "required key pair missing"  # condition like `[key] xx` which lacks `[/key]`
+    SCM = "special character missing"  # Usually the req_key appear in pairs like `[key] xx [/key]`
+    JSON = "json format"
+
+
+def repair_case_sensitivity(output: str, req_key: str) -> str:
+    """
+    usually, req_key is the key name of expected json or markdown content, it won't appear in the value part.
+    fix target string `"Shared Knowledge": ""` but `"Shared knowledge": ""` actually
+    """
+    if req_key in output:
+        return output
+
+    output_lower = output.lower()
+    req_key_lower = req_key.lower()
+    if req_key_lower in output_lower:
+        # find the sub-part index, and replace it with raw req_key
+        lidx = output_lower.find(req_key_lower)
+        source = output[lidx : lidx + len(req_key_lower)]
+        output = output.replace(source, req_key)
+        logger.info(f"repair_case_sensitivity: {req_key}")
+
+    return output
+
+
+def repair_special_character_missing(output: str, req_key: str = "[/CONTENT]") -> str:
+    """
+    fix
+        1. target string `[CONTENT] xx [CONTENT] xxx [CONTENT]` lacks `/` in the last `[CONTENT]`
+        2. target string `xx [CONTENT] xxx [CONTENT] xxxx` lacks `/` in the last `[CONTENT]`
+    """
+    sc_arr = ["/"]
+
+    if req_key in output:
+        return output
+
+    for sc in sc_arr:
+        req_key_pure = req_key.replace(sc, "")
+        appear_cnt = output.count(req_key_pure)
+        if req_key_pure in output and appear_cnt > 1:
+            # req_key with special_character usually in the tail side
+            ridx = output.rfind(req_key_pure)
+            output = f"{output[:ridx]}{req_key}{output[ridx + len(req_key_pure):]}"
+            logger.info(f"repair_special_character_missing: {sc} in {req_key_pure} as position {ridx}")
+
+    return output
+
+
+def repair_required_key_pair_missing(output: str, req_key: str = "[/CONTENT]") -> str:
+    """
+    implement the req_key pair in the begin or end of the content
+        req_key format
+            1. `[req_key]`, and its pair `[/req_key]`
+            2. `[/req_key]`, and its pair `[req_key]`
+    """
+    sc = "/"  # special char
+    if req_key.startswith("[") and req_key.endswith("]"):
+        if sc in req_key:
+            left_key = req_key.replace(sc, "")  # `[/req_key]` -> `[req_key]`
+            right_key = req_key
+        else:
+            left_key = req_key
+            right_key = f"{req_key[0]}{sc}{req_key[1:]}"  # `[req_key]` -> `[/req_key]`
+
+        if left_key not in output:
+            output = left_key + "\n" + output
+        if right_key not in output:
+
+            def judge_potential_json(routput: str, left_key: str) -> Union[str, None]:
+                ridx = routput.rfind(left_key)
+                if ridx < 0:
+                    return None
+                sub_output = routput[ridx:]
+                idx1 = sub_output.rfind("}")
+                idx2 = sub_output.rindex("]")
+                idx = idx1 if idx1 >= idx2 else idx2
+                sub_output = sub_output[: idx + 1]
+                return sub_output
+
+            if output.strip().endswith("}") or (output.strip().endswith("]") and not output.strip().endswith(left_key)):
+                # # avoid [req_key]xx[req_key] case to append [/req_key]
+                output = output + "\n" + right_key
+            elif judge_potential_json(output, left_key) and (not output.strip().endswith(left_key)):
+                sub_content = judge_potential_json(output, left_key)
+                output = sub_content + "\n" + right_key
+
+    return output
+
+
+def repair_json_format(output: str) -> str:
+    """
+    fix extra `[` or `}` in the end
+    """
+    output = output.strip()
+
+    if output.startswith("[{"):
+        output = output[1:]
+        logger.info(f"repair_json_format: {'[{'}")
+    elif output.endswith("}]"):
+        output = output[:-1]
+        logger.info(f"repair_json_format: {'}]'}")
+    elif output.startswith("{") and output.endswith("]"):
+        output = output[:-1] + "}"
+
+    # remove comments in output json str, after json value content, maybe start with #, maybe start with //
+    arr = output.split("\n")
+    new_arr = []
+    for line in arr:
+        # look for # or // comments and make sure they are not inside the string value
+        comment_index = -1
+        for match in re.finditer(r"(\".*?\"|\'.*?\')|(#|//)", line):
+            if match.group(1):  # if the string value
+                continue
+            if match.group(2):  # if comments
+                comment_index = match.start(2)
+                break
+        # if comments, then delete them
+        if comment_index != -1:
+            line = line[:comment_index].rstrip()
+        new_arr.append(line)
+    output = "\n".join(new_arr)
+    return output
+
+
+def _repair_llm_raw_output(output: str, req_key: str, repair_type: RepairType = None) -> str:
+    repair_types = [repair_type] if repair_type else [item for item in RepairType if item not in [RepairType.JSON]]
+    for repair_type in repair_types:
+        if repair_type == RepairType.CS:
+            output = repair_case_sensitivity(output, req_key)
+        elif repair_type == RepairType.RKPM:
+            output = repair_required_key_pair_missing(output, req_key)
+        elif repair_type == RepairType.SCM:
+            output = repair_special_character_missing(output, req_key)
+        elif repair_type == RepairType.JSON:
+            output = repair_json_format(output)
+    return output
+
+
+def repair_llm_raw_output(output: str, req_keys: list[str], repair_type: RepairType = None) -> str:
+    """
+    in open-source llm model, it usually can't follow the instruction well, the output may be incomplete,
+    so here we try to repair it and use all repair methods by default.
+    typical case
+        1. case sensitivity
+            target: "Original Requirements"
+            output: "Original requirements"
+        2. special character missing
+            target: [/CONTENT]
+            output: [CONTENT]
+        3. json format
+            target: { xxx }
+            output: { xxx }]
+    """
+    if not CONFIG.repair_llm_output:
+        return output
+
+    # do the repairation usually for non-openai models
+    for req_key in req_keys:
+        output = _repair_llm_raw_output(output=output, req_key=req_key, repair_type=repair_type)
+    return output
+
+
+def repair_invalid_json(output: str, error: str) -> str:
+    """
+    repair the situation like there are extra chars like
+    error examples
+        example 1. json.decoder.JSONDecodeError: Expecting ',' delimiter: line 154 column 1 (char 2765)
+        example 2. xxx.JSONDecodeError: Expecting property name enclosed in double quotes: line 14 column 1 (char 266)
+    """
+    pattern = r"line ([0-9]+) column ([0-9]+)"
+
+    matches = re.findall(pattern, error, re.DOTALL)
+    if len(matches) > 0:
+        line_no = int(matches[0][0]) - 1
+        col_no = int(matches[0][1]) - 1
+
+        # due to CustomDecoder can handle `"": ''` or `'': ""`, so convert `"""` -> `"`, `'''` -> `'`
+        output = output.replace('"""', '"').replace("'''", '"')
+        arr = output.split("\n")
+        rline = arr[line_no]  # raw line
+        line = arr[line_no].strip()
+        # different general problems
+        if line.endswith("],"):
+            # problem, redundant char `]`
+            new_line = line.replace("]", "")
+        elif line.endswith("},") and not output.endswith("},"):
+            # problem, redundant char `}`
+            new_line = line.replace("}", "")
+        elif line.endswith("},") and output.endswith("},"):
+            new_line = line[:-1]
+        # remove comments in output json str, after json value content, maybe start with #, maybe start with //
+        elif rline[col_no] == "#" or rline[col_no] == "/":
+            new_line = rline[:col_no]
+            for i in range(line_no + 1, len(arr)):
+                # look for # or // comments and make sure they are not inside the string value
+                comment_index = -1
+                for match in re.finditer(r"(\".*?\"|\'.*?\')|(#|//)", line):
+                    if match.group(1):  # if the string value
+                        continue
+                    if match.group(2):  # if comments
+                        comment_index = match.start(2)
+                        break
+                # if comments, then delete them
+                if comment_index != -1:
+                    arr[i] = arr[i][:comment_index].rstrip()
+        elif (rline[col_no] in ["'", '"']) and (line.startswith('"') or line.startswith("'")) and "," not in line:
+            # problem, `"""` or `'''` without `,`
+            new_line = f",{line}"
+        elif '",' not in line and "," not in line and '"' not in line:
+            new_line = f'{line}",'
+        elif not line.endswith(","):
+            # problem, miss char `,` at the end.
+            new_line = f"{line},"
+        elif "," in line and len(line) == 1:
+            new_line = f'"{line}'
+        elif '",' in line:
+            new_line = line[:-2] + "',"
+        else:
+            new_line = line
+
+        arr[line_no] = new_line
+        output = "\n".join(arr)
+        logger.info(f"repair_invalid_json, raw error: {error}")
+
+    return output
+
+
+def run_after_exp_and_passon_next_retry(logger: "loguru.Logger") -> Callable[["RetryCallState"], None]:
+    def run_and_passon(retry_state: RetryCallState) -> None:
+        """
+        RetryCallState example
+            {
+                "start_time":143.098322024,
+                "retry_object":"<Retrying object at 0x7fabcaca25e0 (stop=<tenacity.stop.stop_after_attempt ... >)>",
+                "fn":"<function retry_parse_json_text_v2 at 0x7fabcac80ee0>",
+                "args":"(\"tag:[/CONTENT]\",)",  # function input args
+                "kwargs":{},                     # function input kwargs
+                "attempt_number":1,              # retry number
+                "outcome":"<Future at xxx>",  # type(outcome.result()) = "str", type(outcome.exception()) = "class"
+                "outcome_timestamp":143.098416904,
+                "idle_for":0,
+                "next_action":"None"
+            }
+        """
+        if retry_state.outcome.failed:
+            if retry_state.args:
+                # # can't be used as args=retry_state.args
+                func_param_output = retry_state.args[0]
+            elif retry_state.kwargs:
+                func_param_output = retry_state.kwargs.get("output", "")
+            exp_str = str(retry_state.outcome.exception())
+
+            fix_str = "try to fix it, " if CONFIG.repair_llm_output else ""
+            logger.warning(
+                f"parse json from content inside [CONTENT][/CONTENT] failed at retry "
+                f"{retry_state.attempt_number}, {fix_str}exp: {exp_str}"
+            )
+
+            repaired_output = repair_invalid_json(func_param_output, exp_str)
+            retry_state.kwargs["output"] = repaired_output
+
+    return run_and_passon
+
+
+@retry(
+    stop=stop_after_attempt(3 if CONFIG.repair_llm_output else 0),
+    wait=wait_fixed(1),
+    after=run_after_exp_and_passon_next_retry(logger),
+)
+def retry_parse_json_text(output: str) -> Union[list, dict]:
+    """
+    repair the json-text situation like there are extra chars like [']', '}']
+
+    Warning
+        if CONFIG.repair_llm_output is False, retry _aask_v1 {x=3} times, and the retry_parse_json_text's retry not work
+        if CONFIG.repair_llm_output is True, the _aask_v1 and the retry_parse_json_text will loop for {x=3*3} times.
+            it's a two-layer retry cycle
+    """
+    # logger.debug(f"output to json decode:\n{output}")
+
+    # if CONFIG.repair_llm_output is True, it will try to fix output until the retry break
+    parsed_data = CustomDecoder(strict=False).decode(output)
+
+    return parsed_data
+
+
+def extract_content_from_output(content: str, right_key: str = "[/CONTENT]"):
+    """extract xxx from [CONTENT](xxx)[/CONTENT] using regex pattern"""
+
+    def re_extract_content(cont: str, pattern: str) -> str:
+        matches = re.findall(pattern, cont, re.DOTALL)
+        for match in matches:
+            if match:
+                cont = match
+                break
+        return cont.strip()
+
+    # TODO construct the extract pattern with the `right_key`
+    raw_content = copy.deepcopy(content)
+    pattern = r"\[CONTENT\]([\s\S]*)\[/CONTENT\]"
+    new_content = re_extract_content(raw_content, pattern)
+
+    if not new_content.startswith("{"):
+        # TODO find a more general pattern
+        # # for `[CONTENT]xxx[CONTENT]xxxx[/CONTENT] situation
+        logger.warning(f"extract_content try another pattern: {pattern}")
+        if right_key not in new_content:
+            raw_content = copy.deepcopy(new_content + "\n" + right_key)
+        # # pattern = r"\[CONTENT\](\s*\{.*?\}\s*)\[/CONTENT\]"
+        new_content = re_extract_content(raw_content, pattern)
+    else:
+        if right_key in new_content:
+            idx = new_content.find(right_key)
+            new_content = new_content[:idx]
+            new_content = new_content.strip()
+
+    return new_content
+
+
+def extract_state_value_from_output(content: str) -> str:
+    """
+    For openai models, they will always return state number. But for open llm models, the instruction result maybe a
+    long text contain target number, so here add a extraction to improve success rate.
+
+    Args:
+        content (str): llm's output from `Role._think`
+    """
+    content = content.strip()  # deal the output cases like " 0", "0\n" and so on.
+    pattern = r"([0-9])"  # TODO find the number using a more proper method not just extract from content using pattern
+    matches = re.findall(pattern, content, re.DOTALL)
+    matches = list(set(matches))
+    state = matches[0] if len(matches) > 0 else "-1"
+    return state