Closed ajicar closed 9 months ago
dosubot[bot]
commented
1 year ago 🤖
Hello @ajicar!
I'm here to assist you while we wait for a human maintainer. Although I'm a bot, I'm here to help you solve bugs, answer any questions you might have, and guide you through the process of becoming a contributor to LangChain.
I'm going to take a closer look at the issue you're experiencing and will provide you with a full answer shortly. Thanks for reaching out!
dosubot[bot]
commented
1 year ago 🤖
Based on the information you've provided, it seems like you're having trouble importing BabyAGI from langchain_experimental. Here are a few possible reasons and solutions:
Incorrect Python Environment: Ensure that you're running the code in a Python environment where LangChain is installed and updated to the version 0.0.334. You can verify this by running pip show langchain in your Python environment.
Incorrect Import Statement: The correct import statement should be from langchain_experimental.autonomous_agents import BabyAGI. Please verify if this is the statement you're using.
File Structure: The file structure might have changed in the version 0.0.334. The BabyAGI might not be in the same location as in the previous versions. You might need to check the documentation or the source code of the version 0.0.334 to verify the file structure.
Name Changes: The name of the module or the class might have changed in the version 0.0.334. Again, you might need to check the documentation or the source code of the version 0.0.334 to verify this.
Metaclass Conflict: As per the context shared, there is a metaclass conflict in the BabyAGI class. This could potentially cause issues when trying to import the class. You might need to resolve this conflict or ignore it using # type: ignore[misc] as done in the source code.
Missing Dependencies: In the context shared, there are several other modules and packages being imported along with BabyAGI. If any of these dependencies are missing or not installed correctly, it could prevent BabyAGI from being imported. Make sure all the necessary dependencies are installed and imported correctly.
If none of the above solutions work, could you please provide more details about the error message you're receiving? This will help in diagnosing the problem more accurately.
This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.
Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.
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dosubot[bot]
commented
9 months ago Hi, @ajicar,
I'm helping the LangChain team manage their backlog and am marking this issue as stale. From what I understand, you reported an ImportError when trying to import 'BabyAGI' from 'langchain_experimental', and I provided a detailed analysis of possible reasons and solutions for the issue, including checking the Python environment, import statement, file structure, name changes, metaclass conflict, and missing dependencies. I also provided relevant sources for further investigation.
Could you please confirm if this issue is still relevant to the latest version of the LangChain repository? If it is, please let the LangChain team know by commenting on the issue. Otherwise, feel free to close the issue yourself, or it will be automatically closed in 7 days.
Thank you for your understanding and cooperation. If you have any further questions or need assistance, feel free to reach out.
System Info
I can not import BabyAGI
from langchain_experimental import BabyAGI
The langchain version is:
pip show langchain Name: langchain Version: 0.0.334 Summary: Building applications with LLMs through composability Home-page: https://github.com/langchain-ai/langchain Author: Author-email: License: MIT Location: c:\users\test\anaconda3\envs\nenv\lib\site-packages Requires: aiohttp, anyio, async-timeout, dataclasses-json, jsonpatch, langsmith, numpy, pydantic, PyYAML, requests, SQLAlchemy, tenacity Required-by: langchain-experimental
Who can help?
No response
Information
Related Components
Reproduction
import dotenv from dotenv import load_dotenv load_dotenv() import os
import langchain from langchain.embeddings import OpenAIEmbeddings import faiss from langchain.vectorstores import FAISS from langchain.docstore import InMemoryDocstore
Define the embedding model
embeddings_model = OpenAIEmbeddings(model="text-embedding-ada-002")
Initialize the vectorstore
embedding_size = 1536 index = faiss.IndexFlatL2(embedding_size) vectorstore = FAISS(embeddings_model, index, InMemoryDocstore({}), {})
from langchain.llms import OpenAI from langchain_experimental import BabyAGI
Expected behavior
I want to be able to execute:
Define the embedding model
embeddings_model = OpenAIEmbeddings(model="text-embedding-ada-002")