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Runtime error
extends notebook
Browse files- notebook.ipynb +25 -13
- prompts.yaml +19 -0
notebook.ipynb
CHANGED
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"metadata": {},
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"outputs": [],
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"source": [
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"
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"\n",
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"#print(dir(smolagents.models))\n",
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"#print(smolagents.__version__)\n",
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"\n",
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"\n",
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"from tools import fetch_file\n",
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"\n",
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"model = InferenceClientModel(model_id=\"Qwen/
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"
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"\n",
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"#from app import BasicAgent\n",
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"\n",
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"
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"FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings.\n",
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"If you are asked for a number, don’t use comma to write your number neither use units such as $ or percent sign unless specified otherwise.\n",
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"If you are asked for a string, don’t use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise.\n",
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"If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string. \n",
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"\"\"\"\n",
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"\n",
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"agent = CodeAgent(
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"\n",
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"\n"
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]
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@@ -80,13 +93,12 @@
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" }\n",
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"\n",
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"question_text = item[\"question\"]\n",
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"\n",
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"
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"\n",
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"print(f\"Question: {question}\")\n",
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"\n",
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"#task_id = item[\"task_id\"]\n",
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"submitted_answer = agent(
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]
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}
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],
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"metadata": {},
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"outputs": [],
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"source": [
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"import yaml\n",
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"\n",
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"from smolagents import CodeAgent, Tool, InferenceClientModel, DuckDuckGoSearchTool, WikipediaSearchTool\n",
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"from smolagents import OpenAIServerModel\n",
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"from tools import fetch_file\n",
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"\n",
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"#model = InferenceClientModel(model_id=\"Qwen/Qwen3-32B\", provider=\"nscale\")\n",
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"model = InferenceClientModel(model_id=\"deepseek-ai/DeepSeek-R1-Distill-Llama-70B\", provider=\"nscale\")\n",
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"\n",
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"# Set your Gemini API key in the environment variable GEMINI_API_KEY_1\n",
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"#model = OpenAIServerModel(\n",
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"# model_id=\"gemini-2.5-flash\", \n",
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"# api_base=\"https://generativelanguage.googleapis.com/v1beta\", \n",
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"# api_key=os.getenv(\"GEMINI_API_KEY_1\")\n",
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"# ) \n",
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"#print('API key was found:', os.getenv(\"GEMINI_API_KEY_1\") is not None)\n",
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"\n",
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"#from app import BasicAgent\n",
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"\n",
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"system_prompt = \"\"\"You are a general AI assistant. I will ask you a question. Report your thoughts, and finish your answer with the following template: \n",
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"FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings.\n",
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"If you are asked for a number, don’t use comma to write your number neither use units such as $ or percent sign unless specified otherwise.\n",
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"If you are asked for a string, don’t use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise.\n",
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"If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string. \n",
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"\n",
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"Here is the question: {question}\n",
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"\"\"\"\n",
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"\n",
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"agent = CodeAgent(\n",
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" model=model, \n",
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" tools=[fetch_file, DuckDuckGoSearchTool(), WikipediaSearchTool()], \n",
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" add_base_tools=True,\n",
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" additional_authorized_imports=['requests', 'bs4'] \n",
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" )\n",
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"\n",
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"\n"
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]
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" }\n",
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"\n",
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"question_text = item[\"question\"]\n",
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"prompt_with_question = system_prompt.format(question=question_text)\n",
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"\n",
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"print(f\"Question: {prompt_with_question}\")\n",
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"\n",
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"#task_id = item[\"task_id\"]\n",
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"submitted_answer = agent(prompt_with_question)\n"
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]
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}
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],
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prompts.yaml
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"system_prompt": |-
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You are a general AI assistant. I will ask you a question. Report your thoughts, and finish your answer with the following template:
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FINAL ANSWER: [YOUR FINAL ANSWER]. YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings.
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If you are asked for a number, don’t use comma to write your number neither use units such as $ or percent sign unless specified otherwise.
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If you are asked for a string, don’t use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise.
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If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.
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"planning" :
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"initial_facts": ""
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"initial_plan": ""
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"update_facts_pre_messages": ""
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"update_facts_post_messages": ""
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"update_plan_pre_messages": ""
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"update_plan_post_messages": ""
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"managed_agent":
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"task": ""
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"report": ""
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"final_answer":
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"pre_messages": ""
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"post_messages": ""
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