# Pinned to the versions the eval used, so apply_chat_template renders the <think>+XML-tool prompt
# IDENTICALLY to training/eval (train<->serve parity). Fast tokenizer => no torch needed.
transformers==5.5.0
tokenizers==0.22.2
huggingface_hub>=0.26
# Gradio 6: app-level theme/css/js moved to launch(), Chatbot buttons=, api_visibility=, MCP server.
# The [mcp] extra pulls in the `mcp` package so demo.launch(mcp_server=True) can serve this Space as an MCP server.
gradio[mcp]>=6.0,<7.0
# sandbox libs so the agent can produce shareable visual artifacts (charts, GIFs) - used by the agent's
# `python` runs, not by app.py itself (matplotlib uses the headless Agg backend automatically). The agent
# can also `pip install <pkg>` at runtime for anything else (CODEAGENT_BASH_TIMEOUT gives installs time).
numpy
pandas
matplotlib
pillow
# no-key web stack (for the web self-test + future web_search/web_fetch tools): ddgs aggregates
# Google/Bing/Brave/... (no API key); trafilatura fetches + extracts clean page text.
ddgs
trafilatura