Repository: explodinggradients/ragas
Issue: ValidationError: 1 validation error for Prompt
Root cause: External Dependency Breakage

[ ] I have checked the [documentation](https://docs.ragas.io/) and related resources and couldn't resolve my bug.

**Describe the bug**
When I try to use generator.adapt(language='chinese'), I still encounter errors related to the Prompt. I have tried multiple methods but still cannot resolve the issue.

Ragas version:0.1.18
Python version:3.10.9

**Code to Reproduce**
from utils import *
from langchain_community.document_loaders import PyMuPDFLoader

# 1.读取原始数据
PROJECT_PATH = os.path.dirname(__file__)
data_path = os.path.join(PROJECT_PATH, 'data/eval_document_data/')
pdf_files = [f for f in os.listdir(data_path) if f.endswith('.pdf')]

# 创建一个空列表来存储文档
documents = []

# 遍历每个 PDF 文件，并使用 PyMuPDFLoader 加载它们
for pdf_file in pdf_files:
    full_pdf_path = os.path.join(data_path, pdf_file)
    loader = PyMuPDFLoader(full_pdf_path)
    documents.extend(loader.load())

if len(documents) != 0:
    print("数据加载完成。")
# print(documents)

# 2.数据生成
from ragas.testset.generator import TestsetGenerator
from ragas.testset.evolutions import simple, reasoning, multi_context

# generator with openai models
generator_llm = ChatOpenAI(model="gpt-3.5-turbo-16k")
critic_llm = ChatOpenAI(model="gpt-3.5-turbo-16k")
embeddings = get_embeddings_model()

generator = TestsetGenerator.from_langchain(
    generator_llm,
    critic_llm,
    embeddings
)

# 设置语言类型
language = 'chinese'
generator.adapt(language=language,evolutions=[simple,reasoning,multi_context], cache_dir="a_path")
generator.save(evolutions=[simple, reasoning, multi_context], cache_dir="a_path")

testset = generator.generate_with_langchain_docs(documents, test_size=10, distributions={simple: 0.5, reasoning: 0.25, multi_context: 0.25})
print(testset.to_pandas())

**Error trace**
    raise validation_error
pydantic.v1.error_wrappers.ValidationError: 1 validation error for Prompt
__root__
  output in example 1 is not in valid json format: Expecting value: line 1 column 1 (char 0) (type=value_error)

**Expected behavior**
A clear and concise description of what you expected to happen.


**Additional context**
Add any other context about the problem here.

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<!-- Answer -->
To resolve the "ValidationError: 1 validation error for Prompt" when using `generator.adapt(language='chinese')` in Ragas version 0.1.18 with Python 3.10.9, ensure that all required fields in the `Prompt` class are properly populated. Specifically, the `instruction`, `input_keys`, and `output_key` fields must not be empty.

Here is an example of how to correctly initialize a `Prompt` object and use the `adapt` method:

```python
from ragas.llms import BaseRagasLLM
from ragas.llms.prompt import Prompt

# Example LLM class (you need to implement this based on your requirements)
class MyLLM(BaseRagasLLM):
    def generate_text(self, prompt):
        # Implement the text generation logic here
        pass

# Initialize the Prompt object with all required fields
prompt = Prompt(
    name="example_prompt",
    instruction="Translate the following text to Chinese.",
    output_format_instruction="",
    examples=[
        {
            "translate_to": "chinese",
            "input": "Hello, how are you?",
            "output": "你好，你好吗？"
        }
    ],
    input_keys=["translate_to", "input"],
    output_key="output",
    output_type="str",
    language="english"
)

# Initialize your LLM
llm = MyLLM()

# Adapt the prompt to Chinese
adapted_prompt = prompt.adapt(language='chinese', llm=llm)

print(adapted_prompt)
```

Ensure that the `instruction`, `input_keys`, and `output_key` fields are not empty, as these are validated in the `Prompt` class. Additionally, make sure that the `Prompt` class and its methods, such as `adapt`, are correctly implemented and imported from the appropriate modules in the Ragas framework <sup>[[1]](https://github.com/explodinggradients/ragas/blob/main/src/ragas/llms/prompt.py)</sup><sup>[[2]](https://github.com/explodinggradients/ragas/blob/main/src/ragas/testset/evolutions.py)</sup>.


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Please upgrade to latest version of ragas and use custom synthesizers.

Closing this as obsolete.