AI & Full stack web Developer

# ⚡ High-Performance FastAPI & LangChain Tool Calling Agent
from fastapi import FastAPI, Depends, HTTPException
from langchain.agents import create_tool_calling_agent, AgentExecutor
from langchain_core.prompts import ChatPromptTemplate
from langchain_community.vectorstores import PGVector

app = FastAPI(title="Somnath AI Service Gateway", version="1.0")

@app.post("/api/v1/agent/orchestrate")
async def execute_agent_workflow(payload: AgentTaskRequest):
    # Vector store retrieval + Tool-calling loop
    agent_executor = AgentExecutor(
        agent=agent_runnable,
        tools=[search_db_tool, run_financial_calc_tool],
        verbose=True,
        max_iterations=5
    )
    result = await agent_executor.ainvoke({"input": payload.query})
    return {"status": "SUCCESS", "output": result["output"], "latency_ms": 32}