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https://github.com/trycua/computer.git
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Added latest nb
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@@ -122,9 +122,17 @@ class FakeAsyncOpenAI:
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prev_blocks = [self.blocks_cache[b_id] for b_id in prev_block_ids]
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full_input = _to_plain_dict_list(prev_blocks + input)
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# Pre-pend instructions message
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effective_input = full_input
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if instructions:
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effective_input = [{
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"role": "user",
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"content": instructions,
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}] + full_input
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# Run a single iteration of the ComputerAgent
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agent_result: Optional[Dict[str, Any]] = None
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async for result in self.agent.run(full_input): # type: ignore[arg-type]
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async for result in self.agent.run(effective_input): # type: ignore[arg-type]
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agent_result = result
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break
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assert agent_result is not None, "Agent failed to produce result"
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@@ -57,9 +57,17 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"c:\\Users\\dillo\\miniconda3\\envs\\cua\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
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" from .autonotebook import tqdm as notebook_tqdm\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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@@ -68,18 +76,20 @@
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"\u001b[90m╔═════════════════════════════════════════════════════════════════╗\u001b[0m\n",
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"\u001b[90m║\u001b[0m 🚀 See your agent live at: \u001b[90m║\u001b[0m\n",
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"\u001b[90m╟─────────────────────────────────────────────────────────────────╢\u001b[0m\n",
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"\u001b[90m║\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/7fa015b7-75b9-45df-accf-66b1d8895fe9\u001b[0m \u001b[90m║\u001b[0m\n",
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"\u001b[90m║\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/426ed182-564d-4b12-b950-c551caeeb8a8\u001b[0m \u001b[90m║\u001b[0m\n",
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"\u001b[90m╚═════════════════════════════════════════════════════════════════╝\u001b[0m\n",
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"\n",
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"Running: Calculate from the RawData tab the z-scores from the mean close price for each row. Return, starting in ANSWER!A1 and descending to ANSWER!A5, the 5 dates with the greatest absolute value of standard deviations from the mean\n"
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"Running: Can you make my computer bring back the last tab I shut down?\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"2025-08-27 13:22:49,324 - agent.ComputerAgent - INFO - LLM processing started with 1 messages\n",
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"Step failed: 'dict' object has no attribute 'id'\n"
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"2025-08-27 13:36:03,660 - agent.ComputerAgent - INFO - LLM processing started with 2 messages\n",
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"2025-08-27 13:36:21,971 - agent.ComputerAgent - INFO - LLM processing started with 6 messages\n",
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"Tool execution failed: Tool evaluate has an output schema but did not return structured content\n",
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"Evaluation phase failed: [MCPToolResult(meta=None, content=[TextContent(type='text', text='Tool evaluate has an output schema but did not return structured content', annotations=None, meta=None)], structuredContent=None, isError=True)]\n"
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]
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},
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{
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@@ -88,7 +98,7 @@
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"text": [
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"✅ Reward: 0.0\n",
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"\n",
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"\u001b[92m✓ Trace complete!\u001b[0m \u001b[2mView at:\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/7fa015b7-75b9-45df-accf-66b1d8895fe9\u001b[0m\n",
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"\u001b[92m✓ Trace complete!\u001b[0m \u001b[2mView at:\u001b[0m \u001b[1m\u001b[33mhttps://app.hud.so/trace/426ed182-564d-4b12-b950-c551caeeb8a8\u001b[0m\n",
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"\n"
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]
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}
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