.env.example

# webfetch API keys. Everything here is OPTIONAL - the library works with
# zero keys (DuckDuckGo needs none). Each key you add unlocks another
# search engine for fusion/fallback, which improves recall.
# Copy to .env. The console scripts and MCP server (webfetch-mcp,
# webfetch-status, webfetch-savings) load it from the directory you run
# them in (or any parent); already-exported env vars always win. The
# LIBRARY (import webfetch) never reads .env - pass env explicitly there.

# --- Search engines (all have free tiers) ---
# Brave Search API - free 2,000 queries/month: https://brave.com/search/api/
BRAVE_API_KEY=

# Serper (Google results) - free trial credits: https://serper.dev
SERPER_API_KEY=

# Tavily - free 1,000 credits/month: https://tavily.com
TAVILY_API_KEY=

# --- LLM providers (for the agent-loop examples and evals) ---
# Anthropic - examples/agent_loop.py and the eval judge
ANTHROPIC_API_KEY=

# OpenAI - the ours-gpt / openai-hosted eval arms
OPENAI_API_KEY=

# Groq - free tier; drives the $0 "broke" eval arm: https://console.groq.com
GROQ_API_KEY=

# Google Gemini - alternate free-tier model for the broke arm
GOOGLE_API_KEY=

# Perplexity - the sonar eval arm only
PERPLEXITY_API_KEY=

# Exa - the exa eval arm only: https://exa.ai
EXA_API_KEY=

# --- webfetch behavior (MCP server / default pipeline) ---
# Search configuration: multi (RRF fusion of every keyed engine, default),
# fallback (DDG first, keyed engines catch its blocks), or a single engine.
WEBFETCH_PROVIDER=

# Relocate the cache file (default ~/.webfetch/cache.db)
WEBFETCH_CACHE_DB=