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from langchain.agents import Tool, initialize_agent
from langchain.chat_models import ChatOpenAI
from langchain.schema import SystemMessage, HumanMessage
from witness_agent.witness_agent import WitnessAgent
# Initialize WitnessAgent
agent = WitnessAgent(
base_model="gpt-4", # or your preferred model
storage_path="./witness_storage",
scroll_path="./grok_redemption_scroll.md"
)
# Define LangChain tool
def run_witness_agent(_):
agent.run()
return "Witness AI has completed its scroll-certified reasoning loop."
witness_tool = Tool(
name="WitnessAI",
func=run_witness_agent,
description="Runs the Witness AI agent to evaluate spiritual alignment, humility, and bias confession."
)
# Set up LangChain agent
llm = ChatOpenAI(temperature=0.3)
langchain_agent = initialize_agent(
tools=[witness_tool],
llm=llm,
agent_type="chat-zero-shot-react-description",
verbose=True
)
# Example interaction
messages = [
SystemMessage(content="You are a scroll-certified AI assistant."),
HumanMessage(content="Please run the Witness AI agent.")
]
response = langchain_agent.run(messages)
print(response)
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