config.py

# Configuration file for SmoLagent setup

"""
SmoLagent Configuration Guide
============================

To use the AI analysis features, you need to configure a Language Model.
SmoLagent supports various models including:

1. OpenAI Models (GPT-3.5, GPT-4)
2. Local models (Ollama, LMStudio)
3. Hugging Face models
4. Other API-compatible models

Example configurations:

# For OpenAI:
from smolagents.models import OpenAIServerModel
model = OpenAIServerModel(
    model_id="gpt-4",
    api_key="your-openai-api-key"
)

# For local Ollama:
from smolagents.models import LiteLLMModel
model = LiteLLMModel(
    model_id="ollama/llama2",
    api_base="http://localhost:11434"
)

# For Hugging Face:
from smolagents.models import HfApiModel
model = HfApiModel(
    model_id="microsoft/DialoGPT-medium",
    token="your-hf-token"
)

Instructions:
1. Choose your preferred model from above
2. Get the necessary API keys/tokens
3. Update the model configuration in app.py
4. Replace the placeholder model initialization with your chosen configuration
"""

# CSV file path configuration
CSV_FILE_PATH = "C:/Users/Cosmo/Desktop/NTU Peak Singtel/outsystems_sample_logs_6months.csv"

# Model configuration (update with your preferred settings)
MODEL_CONFIG = {
    "provider": "openai",  # Change to your preferred provider
    "model_id": "gpt-4",   # Change to your preferred model
    "api_key": "your-api-key-here",  # Add your actual API key
    "api_base": None,      # For local models, set the base URL
}

# Analysis settings
ANALYSIS_SETTINGS = {
    "max_rows_display": 1000,
    "plot_style": "seaborn",
    "figure_size": (12, 8),
    "dpi": 300,
}