prashant-cr/agrosage

Multi-agent crop advisory for smallholder farmers: weather + mandi prices + agronomy rules, orchestrated by Claude or served over MCP. Zero-key offline demo. # AgroSage **Multi-agent crop advisory system for smallholder farmers.** Ask a free-form question — *"Should I irrigate my cotton this week?"*, *"When should I sell my wheat?"* — and an LLM orchestrator delegates to specialist tools (weather, mandi prices, agronomy rules), then returns a short, actionable advisory. Optionally in the farmer's own language. ``` Farmer question + farm context | v An LLM decides which tools to call. Either: - the built-in orchestrator (agrosage[llm], Anthropic SDK) - or your own MCP client (agrosage[mcp], Claude Desktop / Code) | |-- get_weather -> Open-Meteo (free, no key) |-- get_mandi_prices -> data.gov.in Agmarknet (free key) `-- get_agronomy_hints -> deterministic rule engine | v Advisory: headline + 3-6 actions + reasoning ``` The rule engine also runs on its own with no LLM and no keys at all (`--no-llm`). ## Try it in 30 seconds (no API keys) Needs Python 3.12+. ```bash pip install -e . agrosage advise --crop cotton --location "Rajkot, Gujarat" --offline --no-llm agrosage weather --location "Rajkot" --offline agrosage prices --commodity Cotton --offline ``` Offline mode uses deterministic demo data, so you can see the full pipeline instantly. Drop `--offline` to use live data: weather works with **no key at all** (Open-Meteo), mandi prices need a free key from data.gov.in set as `DATA_GOV_IN_API_KEY`. Every command takes `--json` for scripting, which prints the raw dataclass: ```bash agrosage prices --commodity Cotton --offline --json | jq '.trend' agrosage advise --crop cotton --location "Rajkot" --offline --no-llm --json | jq '.actions' ``` ## Full agentic mode ```bash pip install -e ".[llm]" export ANTHROPIC_API_KEY=sk-ant-... agrosage advise --crop cotton --location "Rajkot, Gujarat" \ --stage flowering --language gu \ --question "Rain is coming, should I spray or irrigate this week?" ``` The orchestrator decides which tools to call, grounds every claim in tool outputs, and answers in the req …