# FULL stack: chat / RAG / pluggable LLM backends / Telegram + everything the test suite
# imports. Used by CI and full local dev. For just the deterministic app + hosted demo,
# the lighter `requirements.txt` is enough.
numpy
pandas
bs4
requests
requests_cache
transformers
sentence-transformers
langchain
langchain_community
# LLM backends (pluggable via LLM_PROVIDER). Install only the one(s) you use.
langchain_ollama                  # local/offline via Ollama (default)
langchain-anthropic               # Claude — the most reliable tool caller of the backends
langchain-huggingface             # hf (hosted, needs HUGGINGFACEHUB_API_TOKEN) OR hf_local (local transformers, no token)
langchain-nvidia-ai-endpoints     # nvidia (hosted NIM, needs NVIDIA_API_KEY) — tool-calling brain for the bot
langchain-openai                  # openai_compat — self-hosted OpenAI-compatible tool-calling backend (e.g. vLLM/llama.cpp). Zero-proprietary-API path.

# Messaging channels (the personal-assistant gateway)
python-telegram-bot[job-queue]>=21  # Telegram bot (agronaut_agent/channels/telegram_adapter.py); job-queue extra powers the follow-up poller
# faster-whisper                    # OPTIONAL: local speech-to-text for voice notes (ASR_PROVIDER=local). Install only for voice; offline after first model download.
faiss-cpu
rank_bm25                           # keyword half of hybrid retrieval (agronaut_agent/rag.py). Imported lazily and shipped disabled by default (see hybrid_enabled()), but REQUIRED: without it hybrid silently degrades to dense-only instead of failing.
pypdf                               # extracts text from PDF knowledge sources — FAO/extension publications are PDFs (srcs/chatbot.py _pdf_documents). Without it every PDF source silently contributes zero chunks.
Pillow                              # renders the PNG system schematic (aqua_model/schematic.py to_png)
openpyxl
streamlit
markdown