langchain_tool_demo.ainl

# examples/hybrid/langchain_tool_demo.ainl
# Hybrid LangChain interop: call a tool by name through the langchain_tool adapter.
#
# Run (from repo root):
#   python3 -m cli.main run examples/hybrid/langchain_tool_demo.ainl --json \
#     --enable-adapter langchain_tool
#
# Strict validate:
#   python3 scripts/validate_ainl.py examples/hybrid/langchain_tool_demo.ainl --strict
#
# The bundled demo registers a stub for tool name "my_search_tool" inside the adapter.
# For real LangChain tools, use register_langchain_tool("name", tool) in Python before run.

L1:
  # Dotted verb = tool name (strict allowlist includes MY_SEARCH_TOOL for this demo).
  # Use a frame var for multi-word text (spaces break R-slot tokenization).
  Set q "example query"
  # Tokenization: use `->result` (no space) so the output slot is not parsed as extra args.
  R langchain_tool.my_search_tool q ->result
  J result