Мобильная версияСообщение об ошибке:
AttributeError: 'str' object has no attribute 'model_dump'
Пример кода:
import pandas as pd
from data_api import *
from langchain_openai import ChatOpenAI
# from langchain.chat_models import ChatOpenAI
from dotenv import load_dotenv, find_dotenv
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.output_parsers import StrOutputParser
from perplexity.perplexity import search_chat_completion
from langchain.prompts import PromptTemplate
from langchain_core.runnables import RunnableLambda
from operator import itemgetter
import json
import os
from typing import List, Dict, Any
from tqdm import tqdm
self.llm = ChatOpenAI(model='gpt-4o', temperature=0)
self.mini = ChatOpenAI(model='gpt-4o-mini', temperature=0)
self.pplx = ChatOpenAI(base_url="https://api.perplexity.ai",
model='llama-3.1-sonar-huge-128k-online')
self.o1 = ChatOpenAI(model='o1-preview', temperature=1)
chain = (
{
"chain1": chain1,
"chain2": chain2,
"chain3": chain3,
"chain4": chain4,
"chain5": chain5,
"chain6": chain6,
"chain7": chain7,
"company": itemgetter("company")
}
| PromptTemplate.from_template(
"""
{chain1}
{chain2}
{chain3}
{chain4}
{chain5}
{chain6}
{chain7}
"""
) | self.o1 | StrOutputParser()
)
return chain.invoke({"company": symbol})
Обратная трассировка:
AttributeError("'str' object has no attribute 'model_dump'")Traceback (most recent call last):
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_core/runnables/base.py", line 3022, in invoke
input = context.run(step.invoke, input, config, **kwargs)
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_core/runnables/base.py", line 3727, in invoke
output = {key: future.result() for key, future in zip(steps, futures)}
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_core/runnables/base.py", line 3727, in
output = {key: future.result() for key, future in zip(steps, futures)}
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/concurrent/futures/_base.py", line 439, in result
return self.__get_result()
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_core/runnables/base.py", line 3711, in _invoke_step
return context.run(
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_core/runnables/base.py", line 3022, in invoke
input = context.run(step.invoke, input, config, **kwargs)
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_core/runnables/base.py", line 3727, in invoke
output = {key: future.result() for key, future in zip(steps, futures)}
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_core/runnables/base.py", line 3727, in
output = {key: future.result() for key, future in zip(steps, futures)}
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/concurrent/futures/_base.py", line 446, in result
return self.__get_result()
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/concurrent/futures/_base.py", line 391, in __get_result
raise self._exception
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/concurrent/futures/thread.py", line 58, in run
result = self.fn(*self.args, **self.kwargs)
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_core/runnables/base.py", line 3711, in _invoke_step
return context.run(
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_core/runnables/base.py", line 3024, in invoke
input = context.run(step.invoke, input, config)
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 286, in invoke
self.generate_prompt(
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 786, in generate_prompt
return self.generate(prompt_messages, stop=stop, callbacks=callbacks, **kwargs)
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 643, in generate
raise e
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 633, in generate
self._generate_with_cache(
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 851, in _generate_with_cache
result = self._generate(
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_openai/chat_models/base.py", line 718, in _generate
return self._create_chat_result(response, generation_info)
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_openai/chat_models/base.py", line 745, in _create_chat_result
response if isinstance(response, dict) else response.model_dump()
AttributeError: 'str' object has no attribute 'model_dump'
Информация об среде:
- python 3
Пакет
Версия
langchain
0.3.13
langchain-community
0.3.13
langchain-core
0.3.28
langchain-openai
0.2. 14
langchain-text-splitters
0.3.4
langgraph
0.2.59
langgraph-checkpoint< /td>
2.0.9
langgraph-sdk
0.1.44
langsmith
0.2.3
openai
1.58.1
< td>pydantic
2.10.4
pydantic_core
2.27.2
pydantic-settings
2.7.0
Попытка Исправление
Я обновил функцию синтаксического анализатора для обработки объектов str, но проблема не устранена:
def wrap_chain_output(chain_output):
"""Wrap children chain output."""
if isinstance(chain_output, str):
return chain_output
elif isinstance(chain_output, AIMessage):
return chain_output.content
else:
raise TypeError("Unsupported type for chain_output")
- Пример модифицированной цепочки
PromptTemplate.from_template(
"""
**Search for the industry corresponding to the company **{company}** and then conduct research.**
Engage in divergent thinking, including but not limited to the following keywords.
"""
)
| self.pplx
)
chain2 = (
{
"chain211": chain211 | (lambda x: wrap_chain_output(x)),
"chain212": chain212 | (lambda x: wrap_chain_output(x)),
"chain213": chain213 | (lambda x: wrap_chain_output(x)),
"chain214": chain214 | (lambda x: wrap_chain_output(x)),
"chain215": chain215 | (lambda x: wrap_chain_output(x)),
"chain216": chain216 | (lambda x: wrap_chain_output(x)),
"company": itemgetter("company")
}
| PromptTemplate.from_template(
"""
## {company}
{chain211}
{chain212}
{chain213}
{chain214}
{chain215}
{chain216}
"""
)
| self.llm
)
- Информация об ошибке Langsmith:
lg-bug.jpg - Информация об ошибке:
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 633, in generate
self._generate_with_cache(
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_core/language_models/chat_models.py", line 851, in _generate_with_cache
result = self._generate(
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_openai/chat_models/base.py", line 718, in _generate
return self._create_chat_result(response, generation_info)
File "/home/azureuser/miniconda3/envs/llm39/lib/python3.9/site-packages/langchain_openai/chat_models/base.py", line 745, in _create_chat_result
response if isinstance(response, dict) else response.model_dump()
AttributeError: 'str' object has no attribute 'model_dump'
Подробнее здесь: https://stackoverflow.com/questions/793 ... chain-core
