from mapi_tools import MAPI_class_tools, MAPI_reg_tools from utils import common_tools from langchain import OpenAI from gpt_index import GPTListIndex, GPTIndexMemory from langchain import agents from langchain.agents import initialize_agent stability = MAPI_class_tools( "is_stable","stable","Stable","Unstable" ) magnetism = MAPI_class_tools( "is_magnetic","magnetic","Magnetic","Not magnetic" ) metal = MAPI_class_tools( "is_metal","metallic","Metal","Not metal" ) gap_direct = MAPI_class_tools( "is_gap_direct","gap direct","Gap direct","Gap indirect" ) band_gap = MAPI_reg_tools( "band_gap","band gap" ) energy_per_atom = MAPI_reg_tools( "energy_per_atom","energy per atom gap" ) formation_energy_per_atom = MAPI_reg_tools( "formation_energy_per_atom","formation energy per atom gap" ) volume = MAPI_reg_tools( "volume","volume" ) density = MAPI_reg_tools( "density","density" ) atomic_density = MAPI_reg_tools( "density_atomic","atomic density" ) electronic_energy = MAPI_reg_tools( "e_electronic","electronic energy" ) ionic_energy = MAPI_reg_tools( "e_ion","cationic energy" ) total_energy = MAPI_reg_tools( "e_total","total energy" ) memory = GPTIndexMemory(index=GPTListIndex([]), memory_key="chat_history", query_kwargs={"response_mode": "compact"}) llm=OpenAI(temperature=0.7) tools = ( stability.get_tools() + magnetism.get_tools() + gap_direct.get_tools() + metal.get_tools() + band_gap.get_tools() + volume.get_tools() + density.get_tools() + atomic_density.get_tools() + formation_energy_per_atom.get_tools() + energy_per_atom.get_tools() + electronic_energy.get_tools() + ionic_energy.get_tools() + total_energy.get_tools() + agents.load_tools(["llm-math", "python_repl"], llm=llm) + common_tools ) agent_chain = initialize_agent(tools, llm, agent="zero-shot-react-description", verbose=True, memory=memory)