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| """Config — model defaults, source list, tunables. | |
| Build Small Hackathon constraints: model must be ≤32B params and runnable on | |
| a laptop. Default is Qwen3-32B routed through HF Inference Providers so the | |
| HF Space talks to a real open-weight model with predictable cost. | |
| """ | |
| from __future__ import annotations | |
| import os | |
| # Default model — Apache 2.0, 32B dense, native JSON mode. | |
| DEFAULT_MODEL = os.getenv("BRIEFING_MODEL", "Qwen/Qwen3-32B") | |
| # HF Inference Providers OpenAI-compatible router. | |
| DEFAULT_BASE_URL = os.getenv("BRIEFING_BASE_URL", "https://router.huggingface.co/v1") | |
| # Smart-batch threshold for the digest section. Below this, the UI says | |
| # "nothing high-signal in the window" rather than rendering noise. | |
| MIN_NEW_ITEMS = int(os.getenv("MIN_NEW_ITEMS", "3")) | |
| # Per-source cap to bound prompt size. | |
| PER_SOURCE_CAP = int(os.getenv("PER_SOURCE_CAP", "20")) | |
| # Minimum relevance score (0-10) to make it into the digest. | |
| MIN_RELEVANCE = int(os.getenv("MIN_RELEVANCE", "6")) | |
| # Top-N items to put into the digest prompt after ranking. | |
| DIGEST_TOP_N = int(os.getenv("DIGEST_TOP_N", "12")) | |
| # ArXiv categories pulled live. | |
| ARXIV_CATEGORIES = ["cs.AI", "cs.CL", "cs.LG"] | |
| # GitHub trending topic filter. | |
| GITHUB_TRENDING_TOPIC = "ai" | |
| # RSS feeds — lab blogs + high-signal newsletters + YouTube channels. | |
| RSS_FEEDS: list[tuple[str, str]] = [ | |
| # AI labs | |
| ("Anthropic", "https://www.anthropic.com/news/rss.xml"), | |
| ("OpenAI", "https://openai.com/news/rss.xml"), | |
| ("Google DeepMind", "https://deepmind.google/blog/rss.xml"), | |
| ("Google AI", "https://blog.google/technology/ai/rss/"), | |
| ("Meta AI", "https://ai.meta.com/blog/rss/"), | |
| ("Mistral", "https://mistral.ai/news/feed.xml"), | |
| ("xAI", "https://x.ai/blog/rss.xml"), | |
| ("HuggingFace", "https://huggingface.co/blog/feed.xml"), | |
| # Newsletters / blogs | |
| ("Latent Space", "https://www.latent.space/feed"), | |
| ("Import AI", "https://importai.substack.com/feed"), | |
| ("The Rundown AI", "https://www.therundown.ai/feed"), | |
| ("Stratechery", "https://stratechery.com/feed/"), | |
| ("Simon Willison", "https://simonwillison.net/atom/everything/"), | |
| ("Andrej Karpathy", "https://karpathy.github.io/feed.xml"), | |
| ("One Useful Thing", "https://www.oneusefulthing.org/feed"), | |
| ("AI Snake Oil", "https://www.aisnakeoil.com/feed"), | |
| ("Last Week in AI", "https://lastweekin.ai/feed"), | |
| ("AI Tidbits", "https://aitidbits.substack.com/feed"), | |
| ("Linus Lee", "https://thesephist.com/posts.xml"), | |
| ("Lilian Weng", "https://lilianweng.github.io/index.xml"), | |
| # YouTube (Atom feeds, no key required) | |
| ("YT: Yannic Kilcher", "https://www.youtube.com/feeds/videos.xml?channel_id=UCZHmQk67mSJgfCCTn7xBfew"), | |
| ] | |