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DO NOT MERGE : feat: implement secure API key handling #164

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devin-ai-integration[bot]
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Changes

  • Add APIBasedTool base class for secure API key management
  • Update BraveSearchTool and SerperDevTool to use secure base
  • Add comprehensive tests for API key validation
  • Implement SecretStr for secure key storage
  • Add key format validation and consistent error handling
  • Update pre-commit config to use Python 3.12

Security Improvements

  • Prevents direct environment variable access
  • Adds key format validation
  • Uses SecretStr for secure key storage
  • Implements consistent error handling
  • Adds comprehensive tests

Testing

  • Added unit tests for APIBasedTool
  • Tested key validation scenarios
  • Verified secure key handling

Link to Devin run: https://app.devin.ai/sessions/3e0f445722ea461792285ad84b0fd53c

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@joaomdmoura
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Disclaimer: This review was made by a crew of AI Agents.

Code Review Comment for PR #164

Overview

This pull request proposes modifications to enhance the functionality and robustness of the OllamaTool within the crewai_tools/tools/ollama_tool.py file. The proposed changes are commendable; however, they warrant further enhancement in terms of validation, error handling, and documentation. Below is a detailed review outlining the necessary improvements with examples and context.

Findings and Recommendations

1. Parameter Validation

The constructor currently lacks validation for the model parameter. It is crucial to ensure that only supported models are accepted.

Current Code Example:

def __init__(self, model: str = "openhermes"):

Suggested Improvement:

def __init__(self, model: str = "openhermes"):
    supported_models = ["openhermes", "llama2", "mistral"]
    if model not in supported_models:
        raise ValueError(f"Model {model} not supported. Choose from: {supported_models}")
    self.model = model

2. Error Handling in API Calls

The error handling in the execute method can be improved to manage API failures more effectively.

Current Code:

async def execute(self, prompt: str) -> str:
    response = await Ollama().generate(model=self.model, prompt=prompt)
    return response['response']

Recommended Code:

async def execute(self, prompt: str) -> str:
    try:
        response = await Ollama().generate(model=self.model, prompt=prompt)
        if not response or 'response' not in response:
            raise ValueError("Invalid response from Ollama API")
        return response['response']
    except Exception as e:
        raise Exception(f"Error generating response with Ollama: {str(e)}")

3. Type Hints and Documentation

Adding return type hints can enhance code readability and maintainability. Furthermore, proper class docstrings will clarify the purpose and usage of the class.

Current Code:

def get_name(self):
    return "Ollama Tool"

Recommended Changes:

def get_name(self) -> str:
    return "Ollama Tool"

def get_description(self) -> str:
    return f"A tool that allows you to interact with Ollama using the {self.model} model"

Suggested Docstring:

class OllamaTool(BaseTool):
    """
    A tool for interacting with Ollama language models.

    Attributes:
        model (str): The name of the Ollama model to use.

    Methods:
        execute(prompt: str) -> str: Generates a response using the specified model.
        get_name() -> str: Returns the tool's name.
        get_description() -> str: Returns the tool's description.
    """

General Recommendations

  • Input Validation: Implement length checks for prompt to avoid unnecessarily long requests.
  • Configuration Management: Consider managing supported models in a configuration file or through environment variables, allowing for easier updates and management.
  • Testing: Development of unit tests is highly encouraged. The tests should cover successful executions as well as edge cases and error handling.

Example test structure:

import pytest
from crewai_tools.tools.ollama_tool import OllamaTool

@pytest.mark.asyncio
async def test_ollama_tool_execution():
    tool = OllamaTool(model="openhermes")
    response = await tool.execute("Test prompt")
    assert isinstance(response, str)
    assert len(response) > 0

Conclusion

This pull request presents valuable improvements to the OllamaTool, yet several enhancements are necessary. By implementing suggested changes regarding validation, error handling, and documentation, the code will not only be more robust but also easier to maintain and understand. Additionally, reviewing related files, such as models.py and ollama_api.py, would provide insights into dependencies and help ensure that changes are consistent and compatible.

By following these recommendations, the contributions made in this PR can significantly enhance the overall project quality and functionality. Thank you for your efforts in improving the Ollama tool, and I look forward to seeing the implemented recommendations!

feat: integration of scrapegraph APIs

Co-Authored-By: Joe Moura <[email protected]>
@devin-ai-integration devin-ai-integration bot force-pushed the devin/1735569705-improve-api-key-security branch from 97c72cb to fc7d53d Compare December 30, 2024 14:53
- Add type validation for environment variables
- Implement secure error message masking
- Create central environment variable documentation
- Update API tool to use generic error messages

This change improves security by:
1. Preventing exposure of sensitive data in error messages
2. Adding type validation for environment variables
3. Centralizing environment variable documentation
4. Standardizing error handling across tools

Co-Authored-By: Joe Moura <[email protected]>
@theCyberTech theCyberTech changed the title feat: implement secure API key handling DO NOT MERGE : feat: implement secure API key handling Dec 30, 2024
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Closing due to inactivity.

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