feat: add FastAPI routes and main app entrypoint

app/__init__.py

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+# App package

app/api/__init__.py

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+from app.api.routes import router

app/api/main.py

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+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+from app.api.routes import router
+
+app = FastAPI(
+    title="AI Code Review Agent",
+    description="Multi-agent AI platform that simulates a software engineering team",
+    version="0.1.0"
+)
+
+# Allow Gradio frontend to talk to FastAPI
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_methods=["*"],
+    allow_headers=["*"]
+)
+
+app.include_router(router, prefix="/api/v1")
+
+
+@app.get("/")
+def root():
+    return {
+        "message": "AI Code Review Agent",
+        "version": "0.1.0",
+        "docs": "/docs"
+    }

app/api/routes.py

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+from fastapi import APIRouter, HTTPException
+from app.models.repository import RepositoryRequest, RepositoryResponse
+from app.models.report import EngineeringReport
+from app.tools.github_tool import clone_repository, delete_repository
+from app.agents import (
+    repo_analysis_agent,
+    bug_detection_agent,
+    test_generation_agent,
+    code_review_agent,
+    report_generator_agent
+)
+
+router = APIRouter()
+
+
+@router.get("/health")
+def health_check():
+    return {"status": "ok", "message": "AI Code Review Agent is running"}
+
+
+@router.post("/analyze", response_model=EngineeringReport)
+def analyze_repository(request: RepositoryRequest):
+    """
+    Full pipeline:
+    1. Clone repository
+    2. Run all agents
+    3. Return engineering report
+    """
+    local_path = None
+
+    try:
+        # Step 1 - Clone
+        local_path = clone_repository(request.github_url)
+
+        # Step 2 - Run agents in order
+        metadata = repo_analysis_agent.run(request.github_url, local_path)
+        issues = bug_detection_agent.run(local_path)
+        tests = test_generation_agent.run(local_path)
+        review = code_review_agent.run(local_path, metadata)
+        report = report_generator_agent.run(metadata, issues, tests, review)
+
+        return report
+
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+    finally:
+        # Step 3 - Cleanup cloned repo
+        if local_path:
+            delete_repository(local_path)
+
+
+@router.post("/quick-analyze", response_model=RepositoryResponse)
+def quick_analyze(request: RepositoryRequest):
+    """
+    Only run repository analysis agent.
+    Faster, for testing purposes.
+    """
+    local_path = None
+
+    try:
+        local_path = clone_repository(request.github_url)
+        metadata = repo_analysis_agent.run(request.github_url, local_path)
+
+        return RepositoryResponse(
+            success=True,
+            message="Repository analyzed successfully",
+            data=metadata
+        )
+
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+    finally:
+        if local_path:
+            delete_repository(local_path)

app/core/__init__.py

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+from app.core.config import get_settings
+from app.core.llm import call_llm