SmartScrapeGraph Fails When Running Openai/o3-mini, Model_tokens And Temperature Params Cause Issues

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Introduction

SmartScraperGraph is a powerful tool for web scraping and data extraction. However, when attempting to run it with the openai/o3-mini model, users may encounter issues due to unsupported parameters. In this article, we will delve into the problem, provide a step-by-step guide to reproduce the issue, and discuss the expected behavior.

Describe the Bug

When attempting to execute a SmartScraperGraph with the llm model openai/o3-mini, users may encounter the following error:

Error during chain execution: Completions.create() got an unexpected keyword argument 'model_tokens'

This error occurs when the model_tokens parameter is included in the configuration. If the model_tokens parameter is removed, the error changes to:

Error during chain execution: Error code: 400 - {'error': {'message': "Unsupported parameter: 'temperature' is not supported with this model.", 'type': 'invalid_request_error', 'param': 'temperature', 'code': 'unsupported_parameter'}}

This error occurs when the temperature parameter is included in the configuration.

To Reproduce

To reproduce the issue, follow these steps:

  1. Install the required packages, including ScraphgraphAI, by running the following command:

pip install scrapegraphai

2. Create a new Python script and import the required modules:
   ```python
from scrapegraphai.graphs import SmartScraperGraph, ScriptCreatorGraph
  1. Define the graph configuration, including the llm model, api key, and model tokens:

graph_config = "llm" { "model": "openai/o3-mini", "api_key": "loremipsum", "model_tokens": 200000 , "embeddings": "model" "ollama/nomic-embed-text", # Specifies the embedding model to use "base_url": "http://localhost:11434", # Base URL for the embeddings model server , "library": "beautifulsoup4", "verbose": True, # Enables verbose output for more detailed log information "headless": True }

4. Create a new SmartScraperGraph instance, specifying the prompt, source, and configuration:
   ```python
smart_scraper_graph = SmartScraperGraph(
    prompt="List product names.",  # The AI prompt specifies what to extract
    source="www.google.com",  # URL of the website from which to scrape data
    config=graph_config,  # Uses predefined configuration settings
)
  1. Execute the scraping process by running the following command:

result = smart_scraper_graph.run()


## Result

When running the above code, users may encounter the following error:

Error during chain execution: Completions.create() got an unexpected keyword argument 'model_tokens'


If the `model_tokens` parameter is removed from the configuration, the error changes to:

Error during chain execution: Error code: 400 - 'error' {'message': "Unsupported parameter: 'temperature' is not supported with this model.", 'type': 'invalid_request_error', 'param': 'temperature', 'code': 'unsupported_parameter'}


## Expected Behavior

The expected behavior is to run the SmartScraperGraph successfully with the openai/o3-mini model.

## Desktop (please complete the following information):

- OS: MacOSX sonoma 14.6.1
- Python: 3.11.3
- ScraphgraphAI: 1.38.1

## Conclusion

In conclusion, the SmartScraperGraph fails when running the openai/o3-mini model due to unsupported parameters. The issue can be reproduced by including the `model_tokens` parameter in the configuration. If the `model_tokens` parameter is removed, the error changes to an unsupported `temperature` parameter. The expected behavior is to run the SmartScraperGraph successfully with the openai/o3-mini model.<br/>
# SmartScrapeGraph Fails When Running Openai/o3-mini Model: Model_tokens and Temperature Params Cause Issues

## Q&A

### Q: What is the SmartScraperGraph and what is its purpose?

A: The SmartScraperGraph is a powerful tool for web scraping and data extraction. Its purpose is to extract data from websites using artificial intelligence and machine learning algorithms.

### Q: What is the openai/o3-mini model and why is it being used in the SmartScraperGraph?

A: The openai/o3-mini model is a type of language model developed by OpenAI. It is being used in the SmartScraperGraph to generate text and extract data from websites.

### Q: What are the model_tokens and temperature parameters and why are they causing issues?

A: The model_tokens parameter is used to specify the number of tokens (or words) that the language model should use to generate text. The temperature parameter is used to control the randomness of the generated text. These parameters are causing issues because they are not supported by the openai/o3-mini model.

### Q: What is the error message that is being displayed when the SmartScraperGraph is run with the openai/o3-mini model?

A: The error message is:

Error during chain execution: Completions.create() got an unexpected keyword argument 'model_tokens'


or

Error during chain execution: Error code: 400 - 'error' {'message': "Unsupported parameter: 'temperature' is not supported with this model.", 'type': 'invalid_request_error', 'param': 'temperature', 'code': 'unsupported_parameter'}


### Q: What is the expected behavior of the SmartScraperGraph when run with the openai/o3-mini model?

A: The expected behavior is to run the SmartScraperGraph successfully with the openai/o3-mini model.

### Q: What are the system requirements for running the SmartScraperGraph?

A: The system requirements are:

- OS: MacOSX sonoma 14.6.1
- Python: 3.11.3
- ScraphgraphAI: 1.38.1

### Q: How can I resolve the issue with the SmartScraperGraph and the openai/o3-mini model?

A: To resolve the issue, you can try the following:

- Remove the model_tokens parameter from the configuration.
- Remove the temperature parameter from the configuration.
- Use a different language model that supports the model_tokens and temperature parameters.

### Q: What are the potential consequences of not resolving the issue with the SmartScraperGraph and the openai/o3-mini model?

A: The potential consequences are:

- The SmartScraperGraph will not run successfully with the openai/o3-mini model.
- The data extraction process will be incomplete or inaccurate.
- The system may crash or become unresponsive.

### Q: How can I prevent the issue with the SmartScraperGraph and the openai/o3-mini model from occurring in the future?

A: To prevent the issue from occurring in the future, you can:

- Use a different language model that supports the model_tokens and temperature parameters.
- Remove the model_tokens and temperature parameters from the configuration.
- Update the SmartScraperGraph to the latest version.

### Q: What is the best course of action to take when encountering the issue with the SmartScraperGraph and the openai/o3-mini model?

A: The best course of action is to:

- Remove the model_tokens and temperature parameters from the configuration.
- Use a different language model that supports the model_tokens and temperature parameters.
- Contact the support team for further assistance.