# llm_aggregator configuration file
# Location: ~/.config/llm_aggregator/config.toml
#
# All options can be overridden via command-line arguments.
# Environment variables take precedence: LLM_AGGREGATOR_* prefix.

# Feed aggregation options
max_articles_per_feed = 10       # Maximum articles to fetch from each RSS feed
max_days_old = 7                 # Only include articles published within this many days
max_total_articles = 20          # Maximum total articles to process across all feeds

# Content filtering (comma-separated keywords)
# include_keywords = "linux,opensource"  # Only include articles containing at least one of these keywords
# exclude_keywords = "windows"           # Exclude articles containing any of these keywords

# LLM API options
api_key = "your_api_key_here"     # Can also be set via LLM_AGGREGATOR_API_KEY env var
base_url = "https://api.deepseek.com"  # API base URL (OpenAI-compatible endpoints)
model = "deepseek-chat"           # Model identifier (e.g., deepseek-chat, gpt-4, MiniMax-M2.7)
max_tokens = 4000                 # Maximum tokens in LLM response
temperature = 0.7                 # Sampling temperature (0.0 to 1.0, lower = more focused)

# System prompt for LLM (instructions that guide the AI's behaviour)
system_prompt = """You are an expert analyst and summariser.
You analyse content from multiple sources and provide
concise, insightful summaries based on user requests.
Focus on key points, trends, and important information."""

# Output options
output = "text"              # Output format: text, json, or markdown
# output_file = ""          # Optional: write output to file instead of stdout
include_articles = false     # Include original article content in output