File size: 4,965 Bytes
bcb86b5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
"""
FastAPI REST API for Computer-Using Agent
Provides HTTP endpoints for agent control and interaction
"""

from fastapi import FastAPI, HTTPException, WebSocket
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from typing import Optional, Dict, Any
import asyncio
from loguru import logger

from .cua_agent import ComputerUsingAgent

# Initialize FastAPI app
app = FastAPI(
    title="Computer-Using Agent API",
    description="REST API for controlling the computer-using agent",
    version="1.0.0"
)

# Enable CORS
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# Initialize agent
agent = ComputerUsingAgent()

# Request/Response models
class TaskRequest(BaseModel):
    task: str
    
class TaskResponse(BaseModel):
    success: bool
    message: str
    screenshot: Optional[str] = None
    task: str

class StatusResponse(BaseModel):
    status: str
    current_task: Optional[str]
    display: str
    active_window: Dict[str, Any]

class ScreenshotResponse(BaseModel):
    screenshot: str
    timestamp: str

# API Endpoints

@app.get("/")
async def root():
    """API root endpoint"""
    return {
        "name": "Computer-Using Agent API",
        "version": "1.0.0",
        "status": "running",
        "endpoints": {
            "status": "/agent/status",
            "execute": "/agent/execute",
            "screenshot": "/agent/screenshot",
            "stop": "/agent/stop",
            "docs": "/docs"
        }
    }

@app.get("/health")
async def health_check():
    """Health check endpoint"""
    return {"status": "healthy"}

@app.get("/agent/status", response_model=StatusResponse)
async def get_status():
    """
    Get current agent status
    
    Returns agent status, current task, and active window information
    """
    try:
        status = agent.get_status()
        return StatusResponse(**status)
    except Exception as e:
        logger.error(f"Error getting status: {e}")
        raise HTTPException(status_code=500, detail=str(e))

@app.post("/agent/execute", response_model=TaskResponse)
async def execute_task(request: TaskRequest):
    """
    Execute a task using the computer-using agent
    
    Args:
        request: Task request with natural language description
    
    Returns:
        Task execution result with screenshot
    """
    try:
        logger.info(f"Received task: {request.task}")
        result = agent.execute_task(request.task)
        return TaskResponse(**result)
    except Exception as e:
        logger.error(f"Error executing task: {e}")
        raise HTTPException(status_code=500, detail=str(e))

@app.post("/agent/screenshot", response_model=ScreenshotResponse)
async def capture_screenshot():
    """
    Capture a screenshot of the desktop
    
    Returns:
        Screenshot as base64-encoded PNG
    """
    try:
        screenshot_b64 = agent.get_screenshot_base64()
        
        if screenshot_b64:
            import datetime
            return ScreenshotResponse(
                screenshot=screenshot_b64,
                timestamp=datetime.datetime.now().isoformat()
            )
        else:
            raise HTTPException(status_code=500, detail="Failed to capture screenshot")
            
    except Exception as e:
        logger.error(f"Error capturing screenshot: {e}")
        raise HTTPException(status_code=500, detail=str(e))

@app.post("/agent/stop")
async def stop_agent():
    """
    Stop the current agent task
    
    Returns:
        Success message
    """
    try:
        agent.stop()
        return {"message": "Agent stopped", "status": "stopped"}
    except Exception as e:
        logger.error(f"Error stopping agent: {e}")
        raise HTTPException(status_code=500, detail=str(e))

@app.websocket("/ws/agent")
async def websocket_endpoint(websocket: WebSocket):
    """
    WebSocket endpoint for real-time agent updates
    
    Streams agent status and task updates
    """
    await websocket.accept()
    logger.info("WebSocket client connected")
    
    try:
        while True:
            # Send status update every 2 seconds
            status = agent.get_status()
            await websocket.send_json(status)
            await asyncio.sleep(2)
            
    except Exception as e:
        logger.error(f"WebSocket error: {e}")
    finally:
        logger.info("WebSocket client disconnected")

# Startup event
@app.on_event("startup")
async def startup_event():
    """Initialize services on startup"""
    logger.info("Agent API starting up")
    # Create logs directory if it doesn't exist
    import os
    os.makedirs("/app/logs", exist_ok=True)

@app.on_event("shutdown")
async def shutdown_event():
    """Cleanup on shutdown"""
    logger.info("Agent API shutting down")
    agent.stop()

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8000)