AutoSci/.env.example at main · skyllwt/AutoSci · GitHub

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# ============================================================================
# ΩmegaWiki — Environment Variables
# ============================================================================
# Copy this file:  cp .env.example .env
# Then fill in the values below. Lines starting with # are comments.
#
# Required vs Optional:
#   ANTHROPIC_API_KEY        — REQUIRED (handled by Claude Code login)
#   SEMANTIC_SCHOLAR_API_KEY — Optional (recommended for 100+ papers)
#   DEEPXIV_TOKEN            — Optional (auto-registers if not set)
# ============================================================================


# --- Anthropic API Key (REQUIRED) -------------------------------------------
# How Claude Code works: it needs an Anthropic API key for LLM calls.
# You do NOT set this here. Instead, run:
#   claude login
# Claude Code will handle authentication automatically.
# For GitHub Actions (CI/CD), add ANTHROPIC_API_KEY to repo Settings → Secrets,
# or add CLAUDE_CODE_OAUTH_TOKEN generated with `claude setup-token`.


# --- Semantic Scholar API Key (Optional, recommended) -----------------------
# What it does:  Citation graph lookup (who cites this paper, what does it cite)
# Used by:       /ingest (citation count, importance scoring)
#                /novelty (keyword search for similar work)
#                /ideate (find high-citation papers in a field)
#                /init (discover papers by topic)
#
# How to get:    1. Go to https://www.semanticscholar.org/product/api
#                2. Click "Request API Key" (free, instant approval)
#                3. Copy the key and paste below
#
# Free tier:     100 requests/minute, no daily limit
# Without key:   Still works, but rate-limited to 1 request per 3 seconds
#                (with key: 1 request per second)
SEMANTIC_SCHOLAR_API_KEY=


# --- DeepXiv Token (Optional, auto-registers) -------------------------------
# What it does:  Semantic paper search (BM25 + vector), AI-generated paper
#                summaries (TLDR), progressive reading, trending papers
# Used by:       /daily-arxiv (trending papers, TLDR for scoring)
#                /novelty (hybrid semantic search)
#                /ideate (landscape scan, trending)
#                /ingest (TLDR, paper structure, social impact)
#                /init (semantic paper discovery)
#
# How to get:    Option A (automatic): Leave blank. First API call will
#                auto-register a token and save it to ~/.env
#                Option B (manual): Run setup.sh which handles registration
#                Option C: Go to https://data.rag.ac.cn/register
#
# Free tier:     1,000 requests/day (auto-registered)
#                For higher limits, email tommy@chien.io
# Without token: /daily-arxiv and others fall back to arXiv RSS + Semantic
#                Scholar only. All skills work, just without semantic search.
DEEPXIV_TOKEN=


# --- Review LLM (Optional, OpenAI-compatible) ------------------------------
# What it does:  Powers the /review skill and cross-model review in /ideate,
#                /novelty, /exp-eval, /paper-plan, /paper-draft, /rebuttal, etc.
#                Uses a second LLM to independently critique research artifacts.
#                Also powers /daily-arxiv recommendation in CI inform mode
#                when Claude Code is not configured there.
# Used by:       /review, /novelty, /ideate, /exp-eval, /exp-design,
#                /paper-plan, /paper-draft, /rebuttal, /refine, /daily-arxiv
#
# Works with ANY OpenAI-compatible API. Common providers:
#
#   Provider      | LLM_BASE_URL                                               | Example LLM_MODEL
#   ------------- | ---------------------------------------------------------- | -----------------
#   DeepSeek      | https://api.deepseek.com/v1                                | deepseek-chat
#   OpenAI        | https://api.openai.com/v1                                  | gpt-4o
#   OpenRouter    | https://openrouter.ai/api/v1                               | (any model slug)
#   Qwen          | https://dashscope.aliyuncs.com/compatible-mode/v1          | qwen-max
#   SiliconFlow   | https://api.siliconflow.cn/v1                              | (see docs)
#
# How to set up:
#   1. Get an API key from your chosen provider
#   2. Fill in the three variables below
#   3. Restart Claude Code (the MCP server will auto-load these from .env)
#
# Without this:   Skills that use cross-model review will skip the review step
#                 and proceed with Claude-only analysis. Everything still works,
#                 but you lose the independent second-opinion benefit.
LLM_API_KEY=
LLM_BASE_URL=
LLM_MODEL=
# LLM_FALLBACK_MODEL=    # Optional: fallback model if primary fails (defaults to LLM_MODEL)


# --- arXiv Categories (Optional) --------------------------------------------
# Which arXiv categories to monitor in /daily-arxiv.
# Default: cs.LG,cs.CV,cs.CL,cs.AI,stat.ML
# Full list: https://arxiv.org/category_taxonomy
# ARXIV_CATEGORIES=cs.LG,cs.CV,cs.CL,cs.AI,stat.ML