from langchain.llms import FakeLLM in python throws an error about generative_ai_with_langchain

[benman1]

Hi @rkchaganti. Is this an example from the book? I can't find it in the repo. There's not a lot to go by, unfortunately. Are you referring to pandasai.llm.fake.FakeLLM? I am closing this. Please feel free to re-open once you've posted more context.

[brzaz228]

@benman1 the example is on page 72. The fake LLM allows you to simulate LLM responses during testing without needing actual API. I am also having this issue.
calls. This is useful for rapid prototyping and unit testing agents. Using the FakeLLM avoids hit
ting rate limits during testing. It also allows you to mock various responses to validate that your
agent handles them properly. Overall, it enables fast agent iteration without needing a real LLM.
For example, you could initialize a FakeLLM that returns "Hello" as follows:
from langchain.llms import FakeLLM
fake_llm = FakeLLM(responses=["Hello"])
You can execute this example in either Python directly or in a notebook.
The fake LLM is only for testing purposes. The LangChain documentation has an example of
tool use with LLMs. This is a bit more complex than the previous example but gives a hint of the .

[rkchaganti]

Thanks @brzaz228 for pointing out the page # in the book. Yes, when I try to import FakeLLM with "from langchain.llms import FakeLLM" in Python, it throws an error - "ImportError: cannot import name 'FakeLLM' from 'langchain.llms' (/miniconda3/envs/langchain_ai/lib/python3.10/site-packages/langchain/llms/init.py)"

I am using conda environment and executed the following:
$conda env create --file langchain_ai.yaml
$conda activate langchain_ai
$python
Python 3.10.12 (main, Jul 5 2023, 15:02:25) [Clang 14.0.6 ] on darwin