Spaces:
Running
Running
File size: 12,686 Bytes
b1f90a5 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 |
import pdb
from dotenv import load_dotenv
load_dotenv()
import sys
sys.path.append(".")
import asyncio
import os
import sys
from pprint import pprint
from browser_use import Agent
from browser_use.agent.views import AgentHistoryList
from src.utils import utils
async def test_browser_use_agent():
from browser_use.browser.browser import Browser, BrowserConfig
from browser_use.browser.context import (
BrowserContextConfig
)
from browser_use.agent.service import Agent
from src.browser.custom_browser import CustomBrowser
from src.controller.custom_controller import CustomController
from src.utils import llm_provider
from src.agent.browser_use.browser_use_agent import BrowserUseAgent
llm = llm_provider.get_llm_model(
provider="openai",
model_name="gpt-4o",
temperature=0.8,
)
# llm = llm_provider.get_llm_model(
# provider="google",
# model_name="gemini-2.0-flash",
# temperature=0.6,
# api_key=os.getenv("GOOGLE_API_KEY", "")
# )
# llm = utils.get_llm_model(
# provider="deepseek",
# model_name="deepseek-reasoner",
# temperature=0.8
# )
# llm = utils.get_llm_model(
# provider="deepseek",
# model_name="deepseek-chat",
# temperature=0.8
# )
# llm = utils.get_llm_model(
# provider="ollama", model_name="qwen2.5:7b", temperature=0.5
# )
# llm = utils.get_llm_model(
# provider="ollama", model_name="deepseek-r1:14b", temperature=0.5
# )
window_w, window_h = 1280, 1100
# llm = llm_provider.get_llm_model(
# provider="azure_openai",
# model_name="gpt-4o",
# temperature=0.5,
# base_url=os.getenv("AZURE_OPENAI_ENDPOINT", ""),
# api_key=os.getenv("AZURE_OPENAI_API_KEY", ""),
# )
mcp_server_config = {
"mcpServers": {
# "markitdown": {
# "command": "docker",
# "args": [
# "run",
# "--rm",
# "-i",
# "markitdown-mcp:latest"
# ]
# },
"desktop-commander": {
"command": "npx",
"args": [
"-y",
"@wonderwhy-er/desktop-commander"
]
},
}
}
controller = CustomController()
await controller.setup_mcp_client(mcp_server_config)
use_own_browser = True
use_vision = True # Set to False when using DeepSeek
max_actions_per_step = 10
browser = None
browser_context = None
try:
extra_browser_args = []
if use_own_browser:
browser_binary_path = os.getenv("BROWSER_PATH", None)
if browser_binary_path == "":
browser_binary_path = None
browser_user_data = os.getenv("BROWSER_USER_DATA", None)
if browser_user_data:
extra_browser_args += [f"--user-data-dir={browser_user_data}"]
else:
browser_binary_path = None
browser = CustomBrowser(
config=BrowserConfig(
headless=False,
browser_binary_path=browser_binary_path,
extra_browser_args=extra_browser_args,
new_context_config=BrowserContextConfig(
window_width=window_w,
window_height=window_h,
)
)
)
browser_context = await browser.new_context(
config=BrowserContextConfig(
trace_path=None,
save_recording_path=None,
save_downloads_path="./tmp/downloads",
window_height=window_h,
window_width=window_w,
)
)
agent = BrowserUseAgent(
# task="download pdf from https://arxiv.org/pdf/2311.16498 and rename this pdf to 'mcp-test.pdf'",
task="give me nvidia stock price",
llm=llm,
browser=browser,
browser_context=browser_context,
controller=controller,
use_vision=use_vision,
max_actions_per_step=max_actions_per_step,
generate_gif=True
)
history: AgentHistoryList = await agent.run(max_steps=100)
print("Final Result:")
pprint(history.final_result(), indent=4)
print("\nErrors:")
pprint(history.errors(), indent=4)
except Exception:
import traceback
traceback.print_exc()
finally:
if browser_context:
await browser_context.close()
if browser:
await browser.close()
if controller:
await controller.close_mcp_client()
async def test_browser_use_parallel():
from browser_use.browser.browser import Browser, BrowserConfig
from browser_use.browser.context import (
BrowserContextConfig,
)
from browser_use.agent.service import Agent
from src.browser.custom_browser import CustomBrowser
from src.controller.custom_controller import CustomController
from src.utils import llm_provider
from src.agent.browser_use.browser_use_agent import BrowserUseAgent
# llm = utils.get_llm_model(
# provider="openai",
# model_name="gpt-4o",
# temperature=0.8,
# base_url=os.getenv("OPENAI_ENDPOINT", ""),
# api_key=os.getenv("OPENAI_API_KEY", ""),
# )
# llm = utils.get_llm_model(
# provider="google",
# model_name="gemini-2.0-flash",
# temperature=0.6,
# api_key=os.getenv("GOOGLE_API_KEY", "")
# )
# llm = utils.get_llm_model(
# provider="deepseek",
# model_name="deepseek-reasoner",
# temperature=0.8
# )
# llm = utils.get_llm_model(
# provider="deepseek",
# model_name="deepseek-chat",
# temperature=0.8
# )
# llm = utils.get_llm_model(
# provider="ollama", model_name="qwen2.5:7b", temperature=0.5
# )
# llm = utils.get_llm_model(
# provider="ollama", model_name="deepseek-r1:14b", temperature=0.5
# )
window_w, window_h = 1280, 1100
llm = llm_provider.get_llm_model(
provider="azure_openai",
model_name="gpt-4o",
temperature=0.5,
base_url=os.getenv("AZURE_OPENAI_ENDPOINT", ""),
api_key=os.getenv("AZURE_OPENAI_API_KEY", ""),
)
mcp_server_config = {
"mcpServers": {
# "markitdown": {
# "command": "docker",
# "args": [
# "run",
# "--rm",
# "-i",
# "markitdown-mcp:latest"
# ]
# },
"desktop-commander": {
"command": "npx",
"args": [
"-y",
"@wonderwhy-er/desktop-commander"
]
},
# "filesystem": {
# "command": "npx",
# "args": [
# "-y",
# "@modelcontextprotocol/server-filesystem",
# "/Users/xxx/ai_workspace",
# ]
# },
}
}
controller = CustomController()
await controller.setup_mcp_client(mcp_server_config)
use_own_browser = True
use_vision = True # Set to False when using DeepSeek
max_actions_per_step = 10
browser = None
browser_context = None
try:
extra_browser_args = []
if use_own_browser:
browser_binary_path = os.getenv("BROWSER_PATH", None)
if browser_binary_path == "":
browser_binary_path = None
browser_user_data = os.getenv("BROWSER_USER_DATA", None)
if browser_user_data:
extra_browser_args += [f"--user-data-dir={browser_user_data}"]
else:
browser_binary_path = None
browser = CustomBrowser(
config=BrowserConfig(
headless=False,
browser_binary_path=browser_binary_path,
extra_browser_args=extra_browser_args,
new_context_config=BrowserContextConfig(
window_width=window_w,
window_height=window_h,
)
)
)
browser_context = await browser.new_context(
config=BrowserContextConfig(
trace_path=None,
save_recording_path=None,
save_downloads_path="./tmp/downloads",
window_height=window_h,
window_width=window_w,
force_new_context=True
)
)
agents = [
BrowserUseAgent(task=task, llm=llm, browser=browser, controller=controller)
for task in [
'Search Google for weather in Tokyo',
# 'Check Reddit front page title',
# 'Find NASA image of the day',
# 'Check top story on CNN',
# 'Search latest SpaceX launch date',
# 'Look up population of Paris',
'Find current time in Sydney',
'Check who won last Super Bowl',
# 'Search trending topics on Twitter',
]
]
history = await asyncio.gather(*[agent.run() for agent in agents])
print("Final Result:")
pprint(history.final_result(), indent=4)
print("\nErrors:")
pprint(history.errors(), indent=4)
pdb.set_trace()
except Exception:
import traceback
traceback.print_exc()
finally:
if browser_context:
await browser_context.close()
if browser:
await browser.close()
if controller:
await controller.close_mcp_client()
async def test_deep_research_agent():
from src.agent.deep_research.deep_research_agent import DeepResearchAgent, PLAN_FILENAME, REPORT_FILENAME
from src.utils import llm_provider
llm = llm_provider.get_llm_model(
provider="openai",
model_name="gpt-4o",
temperature=0.5
)
# llm = llm_provider.get_llm_model(
# provider="bedrock",
# )
mcp_server_config = {
"mcpServers": {
"desktop-commander": {
"command": "npx",
"args": [
"-y",
"@wonderwhy-er/desktop-commander"
]
},
}
}
browser_config = {"headless": False, "window_width": 1280, "window_height": 1100, "use_own_browser": False}
agent = DeepResearchAgent(llm=llm, browser_config=browser_config, mcp_server_config=mcp_server_config)
research_topic = "Give me investment advices of nvidia and tesla."
task_id_to_resume = "" # Set this to resume a previous task ID
print(f"Starting research on: {research_topic}")
try:
# Call run and wait for the final result dictionary
result = await agent.run(research_topic,
task_id=task_id_to_resume,
save_dir="./tmp/deep_research",
max_parallel_browsers=1,
)
print("\n--- Research Process Ended ---")
print(f"Status: {result.get('status')}")
print(f"Message: {result.get('message')}")
print(f"Task ID: {result.get('task_id')}")
# Check the final state for the report
final_state = result.get('final_state', {})
if final_state:
print("\n--- Final State Summary ---")
print(
f" Plan Steps Completed: {sum(1 for item in final_state.get('research_plan', []) if item.get('status') == 'completed')}")
print(f" Total Search Results Logged: {len(final_state.get('search_results', []))}")
if final_state.get("final_report"):
print(" Final Report: Generated (content omitted). You can find it in the output directory.")
# print("\n--- Final Report ---") # Optionally print report
# print(final_state["final_report"])
else:
print(" Final Report: Not generated.")
else:
print("Final state information not available.")
except Exception as e:
print(f"\n--- An unhandled error occurred outside the agent run ---")
print(e)
if __name__ == "__main__":
asyncio.run(test_browser_use_agent())
# asyncio.run(test_browser_use_parallel())
# asyncio.run(test_deep_research_agent())
|