langchain-ai / langchain

🦜🔗 Build context-aware reasoning applications
https://python.langchain.com
MIT License
94.51k stars 15.29k forks source link

ValidationError: 1 validation error for VertexAI #17159

Closed andysingal closed 9 months ago

andysingal commented 9 months ago

Checked other resources

Example Code

# Generate summaries of text elements
def generate_text_summaries(texts, tables, summarize_texts=False):
    """
    Summarize text elements
    texts: List of str
    tables: List of str
    summarize_texts: Bool to summarize texts
    """

    # Prompt
    prompt_text = """You are an assistant tasked with summarizing tables and text for retrieval. \
    These summaries will be embedded and used to retrieve the raw text or table elements. \
    Give a concise summary of the table or text that is well-optimized for retrieval. Table \
    or text: {element} """
    prompt = PromptTemplate.from_template(prompt_text)
    empty_response = RunnableLambda(
        lambda x: AIMessage(content="Error processing document")
    )
    # Text summary chain
    model = VertexAI(
        temperature=0, model_name="gemini-pro", max_output_tokens=1024
    ).with_fallbacks([empty_response])
    summarize_chain = {"element": lambda x: x} | prompt | model | StrOutputParser()

    # Initialize empty summaries
    text_summaries = []
    table_summaries = []

    # Apply to text if texts are provided and summarization is requested
    if texts and summarize_texts:
        text_summaries = summarize_chain.batch(texts, {"max_concurrency": 1})
    elif texts:
        text_summaries = texts

    # Apply to tables if tables are provided
    if tables:
        table_summaries = summarize_chain.batch(tables, {"max_concurrency": 1})

    return text_summaries, table_summaries

# Get text, table summaries
text_summaries2, table_summaries = generate_text_summaries(
    texts[9:], tables, summarize_texts=True
)

Error Message and Stack Trace (if applicable)

---------------------------------------------------------------------------
ValidationError                           Traceback (most recent call last)
[<ipython-input-6-4464722c69fb>](https://localhost:8080/#) in <cell line: 51>()
     49 
     50 # Get text, table summaries
---> 51 text_summaries2, table_summaries = generate_text_summaries(
     52     texts[9:], tables, summarize_texts=True
     53 )

3 frames
[/usr/local/lib/python3.10/dist-packages/pydantic/v1/main.py](https://localhost:8080/#) in __init__(__pydantic_self__, **data)
    339         values, fields_set, validation_error = validate_model(__pydantic_self__.__class__, data)
    340         if validation_error:
--> 341             raise validation_error
    342         try:
    343             object_setattr(__pydantic_self__, '__dict__', values)

ValidationError: 1 validation error for VertexAI
__root__
  Unable to find your project. Please provide a project ID by:
- Passing a constructor argument
- Using vertexai.init()
- Setting project using 'gcloud config set project my-project'
- Setting a GCP environment variable
- To create a Google Cloud project, please follow guidance at https://developers.google.com/workspace/guides/create-project (type=value_error)

Description

I am not able to connect to Vertex AI, new to GCP.. what are the steps?

System Info

System Information
------------------
> OS:  Linux
> OS Version:  #1 SMP PREEMPT_DYNAMIC Sat Nov 18 15:31:17 UTC 2023
> Python Version:  3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]

Package Information
-------------------
> langchain_core: 0.1.19
> langchain: 0.1.5
> langchain_community: 0.0.18
> langsmith: 0.0.86
> langchain_experimental: 0.0.50
> langchain_google_vertexai: 0.0.3

Packages not installed (Not Necessarily a Problem)
--------------------------------------------------
The following packages were not found:

> langgraph
> langserve
dosubot[bot] commented 9 months ago

🤖

Hey there, @andysingal! Nice to see you back in the world of coding conundrums. Hope you've been well since our last tech adventure.

The error message you're seeing is indicating that the VertexAI instance is unable to find your Google Cloud project. This is likely because you haven't set your project ID in the environment where your code is running.

Here are the steps to set up your Google Cloud project:

  1. Create a Google Cloud project: If you haven't already, you'll need to create a Google Cloud project. You can do this by following the instructions here.

  2. Set your project ID: Once you have a project, you'll need to set your project ID in your environment. You can do this in several ways:

    • Passing a constructor argument: When you instantiate the VertexAI class, you can pass your project ID as an argument. For example:

      model = VertexAI(
       temperature=0, 
       model_name="gemini-pro", 
       max_output_tokens=1024, 
       project_id="your-project-id"
      )
    • Using vertexai.init(): You can call the vertexai.init() function and pass your project ID. For example:

      vertexai.init(project_id="your-project-id")
    • Setting project using 'gcloud config set project': If you have the Google Cloud SDK installed, you can set your project ID using the gcloud command-line tool. For example:

      gcloud config set project your-project-id
    • Setting a GCP environment variable: You can set your project ID as an environment variable. The name of the variable should be GOOGLE_CLOUD_PROJECT. For example:

      export GOOGLE_CLOUD_PROJECT=your-project-id

Replace "your-project-id" with the ID of your Google Cloud project.

  1. Authenticate your Google Cloud account: If you haven't already, you'll need to authenticate your Google Cloud account. You can do this using the gcloud command-line tool. For example:

    gcloud auth login

After following these steps, your VertexAI instance should be able to find your Google Cloud project and the error should be resolved. If you're still encountering issues, please provide more details about your environment and the steps you've taken so far.

Sources


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.

If you want to continue the conversation, start your reply with @dosu-bot.

lkuligin commented 9 months ago

please, provide a projectargument during initialization of VertexAI