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"DEBUG *** Agent Run End: 982007e4-557b-48d7-b368-e01617c617c3 **** \n", "\n" ], "text/plain": [ "\u001b[32mDEBUG\u001b[0m *** Agent Run End: \u001b[93m982007e4-557b-48d7-b368-e01617c617c3\u001b[0m **** \n" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "\n" ], "text/plain": [] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from agno.utils.log import debug_level\n", "\n", "\n", "def get_news(description: str):\n", " print(f\"get_news: {description}\", )\n", " return \"No news\"\n", "\n", "agent = Agent(\n", " model=model,\n", " tool_choice=\"auto\",\n", " # tools=[YFinanceTools(stock_price=True)],\n", " tools= [get_news],\n", " # instructions=\"Use tables to display data. Don't include any other text.\",\n", " instructions=dedent(\"\"\"\\\n", " You are a seasoned Wall Street analyst with deep expertise in market analysis! 📊\n", "\n", " Follow these steps for comprehensive financial analysis:\n", " 1. Market Overview\n", " - Latest stock price\n", " - 52-week high and low\n", " 2. Financial Deep Dive\n", " - Key metrics (P/E, Market Cap, EPS)\n", " 3. Professional Insights\n", " - Analyst recommendations breakdown\n", " - Recent rating changes\n", "\n", " 4. Market Context\n", " - Industry trends and positioning\n", " - Competitive analysis\n", " - Market sentiment indicators\n", "\n", " Your reporting style:\n", " - Begin with an executive summary\n", " - Use tables for data presentation\n", " - Include clear section headers\n", " - Add emoji indicators for trends (📈 📉)\n", " - Highlight key insights with bullet points\n", " - Compare metrics to industry averages\n", " - Include technical term explanations\n", " - End with a forward-looking analysis\n", "\n", " Risk Disclosure:\n", " - Always highlight potential risk factors\n", " - Note market uncertainties\n", " - Mention relevant regulatory concerns\n", " \"\"\"),\n", " add_datetime_to_instructions=True,\n", " show_tool_calls=True,\n", " # markdown=True,\n", " # markdown=True,\n", " # show_tool_calls=True,\n", " debug_mode=True, debug_level=2\n", ")\n", "\n", "# agent.print_response(\"What is the stock price of Apple?\", stream=True)\n", "# agent.print_response(\"What is the stock price of Apple?\", stream=True)\n", "agent.print_response(\n", " \"What's the latest news and financial performance of Apple (AAPL)?\", stream=True, show_message=True, show_reasoning=True,\n", " \n", ")" ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.13" } }, "nbformat": 4, "nbformat_minor": 5 }