LlamaIndex Agent for Data Integration and Analysis

Initialize a LlamaIndex agent focused on 'Supply Chain Data Integration'. This agent should be able to process structured data (simulated inventory, supplier capacity) and unstructured data (market reports). Define custom tools that the agent can use to 'query_inventory_db' and 'analyze_market_report'. Use GPT-5 Pro for high-level reasoning within the agent. Provide a basic LlamaIndex agent setup with these tools. ```python
from llama_index.llms import OpenAI, Anthropic
from llama_index.core.agent import AgentRunner
from llama_index.core.tools import FunctionTool
from llama_index.core.agent import ReActAgent # Assume GPT-5 Pro is configured via OpenAI API (replace with actual model ID)
llm_gpt5_pro = OpenAI(model="gpt-5-pro") def query_inventory_db(component_name: str) -> str: """Queries the simulated inventory database for a specific component.""" # Placeholder for actual database query or API call if component_name == "N3_wafers": return "Current N3_wafers inventory: 800 units." return "Component not found." query_tool = FunctionTool.from_defaults(fn=query_inventory_db, name="query_inventory_db", description="Query the inventory database for component levels.") # Define the agent
agent = ReActAgent.from_tools( tools=[query_tool], llm=llm_gpt5_pro, verbose=True
) # ... (further agent interaction)
```