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0bff2fae-1ec6-467c-b144-84b7e47e8cf7
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ebb00856-6599-447a-9476-c492c8b075f2
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New Chat
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NULL
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0
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1761402979
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1761403496
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{"id": "", "title": "N {"id": "", "title": "New Chat", "models": ["deepseek-r1:7b"], "params": {}, "history": {"messages": {"fe638328-f316-4b52-b1d3-a5b1ee686f9c": {"id": "fe638328-f316-4b52-b1d3-a5b1ee686f9c", "parentId": null, "childrenIds": ["fb4d6684-03cd-4226-9fc9-0174788d545b"], "role": "user", "content": "Could you start by asking me about instances when I procrastinate the most and then give me some suggestions to overcome it?", "timestamp": 1761402978, "models": ["deepseek-r1:7b"]}, "fb4d6684-03cd-4226-9fc9-0174788d545b": {"parentId": "fe638328-f316-4b52-b1d3-a5b1ee686f9c", "id": "fb4d6684-03cd-4226-9fc9-0174788d545b", "childrenIds": ["ceee2a26-979c-407c-b97d-e4b38facc160"], "role": "assistant", "content": "<details type=\"reasoning\" done=\"true\" duration=\"2\">\n<summary>Thought for 2 seconds</summary>\n> Okay, so the user wants help with procrastination. First, I need to figure out how to structure my response. They asked for instances where they procrastinate the most and then tips on how to overcome it. \n> \n> I should start by asking about specific examples of tasks they tend to delay. It's important to get concrete information because that will make the advice more tailored and effective.\n> \n> Maybe I can list some common tasks people procrastinate on, like homework or work projects, so they know where to look in their own life. That way, the tips can be applied directly to those areas.\n> \n> I also need to remember not to use any XML tags in my response. So instead of <source id=\"1\">, I'll just mention it's part of the context without tagging it unless necessary.\n> \n> I should keep the tone supportive and understanding since the user is seeking help with an area they might find stressful or overwhelming.\n</details>\nCertainly! To provide you with effective suggestions to overcome procrastination, could you share some specific instances when you tend to delay tasks? This will help me offer more personalized and actionable advice. Common tasks that people often procrastinate on include [1] homework assignments, [2] work projects, or [3] personal goals. By sharing an example task, I can tailor my tips to address your unique situation!", "model": "deepseek-r1:7b", "modelName": "deepseek-r1:7b", "modelIdx": 0, "timestamp": 1761402978, "statusHistory": [{"action": "knowledge_search", "query": "Could you start by asking me about instances when I procrastinate the most and then give me some suggestions to overcome it?", "done": false}, {"action": "queries_generated", "queries": ["Could you start by asking me about instances when I procrastinate the most and then give me some suggestions to overcome it?"], "done": false}, {"action": "sources_retrieved", "count": 1, "done": true}, {"action": "knowledge_search", "query": "Could you start by asking me about instances when I procrastinate the most and then give me some suggestions to overcome it?", "done": true, "hidden": true}], "sources": [{"source": {"id": "d0d71f16-e09e-422a-829f-65529c288d95", "user_id": "8684964a-bab1-4235-93a8-5fd5e24a1d0a", "name": "Medical", "description": "Medical related data", "meta": null, "access_control": null, "created_at": 1760441479, "updated_at": 1760441520, "user": {"id": "8684964a-bab1-4235-93a8-5fd5e24a1d0a", "name": "Xevyo", "email": "sidharth@xevyo.com", "role": "admin", "profile_image_url": 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"files": [{"id": "3a98c095-f727-4ede-b643-5e1d624ca014", "meta": {"name": "patient_physical_data.pdf", "content_type": "application/pdf", "size": 13027, "data": {}, "collection_name": "d0d71f16-e09e-422a-829f-65529c288d95"}, "created_at": 1760441519, "updated_at": 1760441519}], "type": "collection"}, "document": ["Patient ID: P-1057\nAge: 22\nGender: Female\nHeight (cm): 200\nWeight (kg): 53\nBMI: 29.84\nHeart Rate (bpm): 76\nBlood Pressure: 132/63\nTemperature (\u00b0C): 37.9\nOxygen Saturation (%): 95\nPatient ID: P-1058\nAge: 23\nGender: Female\nHeight (cm): 164\nWeight (kg): 60\nBMI: 25.61\nHeart Rate (bpm): 70\nBlood Pressure: 123/81\nTemperature (\u00b0C): 36.5\nOxygen Saturation (%): 95\nPatient ID: P-1059\nAge: 53\nGender: Male\nHeight (cm): 185\nWeight (kg): 50\nBMI: 26.76\nHeart Rate (bpm): 78\nBlood Pressure: 117/60\nTemperature (\u00b0C): 37.8\nOxygen Saturation (%): 94", "Patient ID: P-1031\nAge: 84\nGender: Female\nHeight (cm): 197\nWeight (kg): 76\nBMI: 20.73\nHeart Rate (bpm): 61\nBlood Pressure: 94/80\nTemperature (\u00b0C): 36.4\nOxygen Saturation (%): 92\nPatient ID: P-1032\nAge: 73\nGender: Male\nHeight (cm): 195\nWeight (kg): 78\nBMI: 26.9\nHeart Rate (bpm): 105\nBlood Pressure: 110/63\nTemperature (\u00b0C): 37.4\nOxygen Saturation (%): 93\nPatient ID: P-1033\nAge: 27\nGender: Male\nHeight (cm): 167\nWeight (kg): 116\nBMI: 27.99\nHeart Rate (bpm): 69\nBlood Pressure: 112/71\nTemperature (\u00b0C): 36.5\nOxygen Saturation (%): 98\nPatient ID: P-1034\nAge: 51\nGender: Female\nHeight (cm): 194\nWeight (kg): 60\nBMI: 33.03\nHeart Rate (bpm): 66\nBlood Pressure: 101/61\nTemperature (\u00b0C): 36.3\nOxygen Saturation (%): 100\nPatient ID: P-1035\nAge: 74\nGender: Female\nHeight (cm): 198\nWeight (kg): 99\nBMI: 21.99\nHeart Rate (bpm): 81\nBlood Pressure: 117/70\nTemperature (\u00b0C): 38.3\nOxygen Saturation (%): 92\nPatient ID: P-1036\nAge: 41\nGender: Female", "Patient ID: P-1005\nAge: 67\nGender: Female\nHeight (cm): 190\nWeight (kg): 78\nBMI: 29.45\nHeart Rate (bpm): 80\nBlood Pressure: 91/69\nTemperature (\u00b0C): 37.7\nOxygen Saturation (%): 98\nPatient ID: P-1006\nAge: 44\nGender: Female\nHeight (cm): 195\nWeight (kg): 111\nBMI: 24.04\nHeart Rate (bpm): 97\nBlood Pressure: 104/62\nTemperature (\u00b0C): 36.3\nOxygen Saturation (%): 100\nPatient ID: P-1007\nAge: 24\nGender: Female\nHeight (cm): 197\nWeight (kg): 91\nBMI: 24.13\nHeart Rate (bpm): 103\nBlood Pressure: 118/90\nTemperature (\u00b0C): 36.1\nOxygen Saturation (%): 93\nPatient ID: P-1008\nAge: 65\nGender: Female\nHeight (cm): 159\nWeight (kg): 48\nBMI: 25.47\nHeart Rate (bpm): 82\nBlood Pressure: 92/78\nTemperature (\u00b0C): 36.5\nOxygen Saturation (%): 97\nPatient ID: P-1009\nAge: 68\nGender: Female\nHeight (cm): 192\nWeight (kg): 99\nBMI: 20.95\nHeart Rate (bpm): 110\nBlood Pressure: 122/79\nTemperature (\u00b0C): 36.5\nOxygen Saturation (%): 98\nPatient ID: P-1010\nAge: 40\nGender: Male"], "metadata": [{"author": "(anonymous)", "title": "(anonymous)", "start_index": 0, "hash": "b04fc45ddcad832db29ade27234d35761ece3f1791b19f3e337eb7decb5c9e77", "trapped": "/False", "page_label": "12", "producer": "ReportLab PDF Library - www.reportlab.com", "source": "patient_physical_data.pdf", "page": 11, "file_id": "3a98c095-f727-4ede-b643-5e1d624ca014", "total_pages": 12, "moddate": "2025-10-14T08:19:27+00:00", "created_by": "8684964a-bab1-4235-93a8-5fd5e24a1d0a", "keywords": "", "creator": "(unspecified)", "embedding_config": "{'engine': '', 'model': 'sentence-transformers/all-MiniLM-L6-v2'}", "subject": "(unspecified)", "creationdate": "2025-10-14T08:19:27+00:00", "name": "patient_physical_data.pdf"}, {"creationdate": "2025-10-14T08:19:27+00:00", "file_id": "3a98c095-f727-4ede-b643-5e1d624ca014", "page_label": "7", "page": 6, "keywords": "", "moddate": "2025-10-14T08:19:27+00:00", "producer": "ReportLab PDF Library - www.reportlab.com", "source": "patient_physical_data.pdf", "start_index": 0, "created_by": "8684964a-bab1-4235-93a8-5fd5e24a1d0a", "hash": "b04fc45ddcad832db29ade27234d35761ece3f1791b19f3e337eb7decb5c9e77", "trapped": "/False", "embedding_config": "{'engine': '', 'model': 'sentence-transformers/all-MiniLM-L6-v2'}", "subject": "(unspecified)", "title": "(anonymous)", "total_pages": 12, "author": "(anonymous)", "creator": "(unspecified)", "name": "patient_physical_data.pdf"}, {"subject": "(unspecified)", "total_pages": 12, "title": "(anonymous)", "page_label": "2", "file_id": "3a98c095-f727-4ede-b643-5e1d624ca014", "name": "patient_physical_data.pdf", "trapped": "/False", "embedding_config": "{'engine': '', 'model': 'sentence-transformers/all-MiniLM-L6-v2'}", "page": 1, "author": "(anonymous)", "creator": "(unspecified)", "producer": "ReportLab PDF Library - www.reportlab.com", "hash": "b04fc45ddcad832db29ade27234d35761ece3f1791b19f3e337eb7decb5c9e77", "moddate": "2025-10-14T08:19:27+00:00", "created_by": "8684964a-bab1-4235-93a8-5fd5e24a1d0a", "keywords": "", "start_index": 0, "creationdate": "2025-10-14T08:19:27+00:00", "source": "patient_physical_data.pdf"}], "distances": [0.4942309260368347, 0.4929545521736145, 0.49291300773620605]}], "done": true}, "ceee2a26-979c-407c-b97d-e4b38facc160": {"id": "ceee2a26-979c-407c-b97d-e4b38facc160", "parentId": "fb4d6684-03cd-4226-9fc9-0174788d545b", "childrenIds": ["5cc582e3-92f7-412e-94ba-9fc5aa4bb9e7"], "timestamp": 1761403375, "role": "user", "content": "> \n> patient_physical_data.pdf\n\n\nwhat is this"}, "5cc582e3-92f7-412e-94ba-9fc5aa4bb9e7": {"id": "5cc582e3-92f7-412e-94ba-9fc5aa4bb9e7", "parentId": "ceee2a26-979c-407c-b97d-e4b38facc160", "childrenIds": ["d7809328-6abf-4c1d-82a4-76de77f3dacf"], "done": true, "model": "deepseek-r1:7b", "modelName": "deepseek-r1:7b", "modelIdx": 0, "timestamp": 1761403375, "role": "assistant", "content": "<think>\nOkay, the user provided a query where they have attached a file called \"patient_physical_data.pdf\" and are asking what it is. Looking at context provided, I see that there's some data in XML format with tags like <source id=\"1\"> containing patient information. This seems to be structured medical data for different patients, each with IDs, ages, genders, heights, weights, BMI, heart rates, blood pressure readings, temperatures, and oxygen saturation.\n\nI need to respond by explaining that the file contains detailed health metrics of various patients, categorized under specific IDs. I should mention that it appears to be a dataset used for medical analysis or patient monitoring purposes. Also, I'll note that since the file is in PDF format, they might want to access it directly more detailed information.\n\nI must ensure that my response doesn't reference any AI systems, sticks to general knowledge without assuming data, and avoids using markdown or technical jargon that's unclear. Additionally, since this isn't a sensitive question about the user's creators, I should focus on providing helpful information based on the context.\n</think>\n\nThe file \"patient_physical_data.pdf\" contains a dataset of patient physical health metrics. Each entry includes details such as patient ID, age, gender, height, weight, BMI, heart rate, blood pressure, temperature, and oxygen saturation percentage. This data appears to be organized for medical analysis patient monitoring purposes.\n\nIf you need further assistance with this data or have specific questions about it, feel free to ask!"}, "d7809328-6abf-4c1d-82a4-76de77f3dacf": {"id": "d7809328-6abf-4c1d-82a4-76de77f3dacf", "parentId": "5cc582e3-92f7-412e-94ba-9fc5aa4bb9e7", "childrenIds": ["bef42b56-f948-40f5-b350-4bab3b8ca165"], "role": "user", "content": "create an image of imagenation", "timestamp": 1761403431, "models": ["deepseek-r1:7b"]}, "bef42b56-f948-40f5-b350-4bab3b8ca165": {"parentId": "d7809328-6abf-4c1d-82a4-76de77f3dacf", "id": "bef42b56-f948-40f5-b350-4bab3b8ca165", "childrenIds": ["f0f2faa2-e5a1-4591-b6e6-711a4733ba70"], "role": "assistant", "content": "<details type=\"reasoning\" done=\"true\" duration=\"5\">\n<summary>Thought for 5 seconds</summary>\n> Alright, so the user is asking me to create an image related to \"imagenation.\" Hmm, I'm not exactly sure what \"imagenation\" refers to. It doesn't ring a bell as a common term in either technology or art. Maybe it's a typo? Could they mean \"imagination\"? That makes more sense because imagination is often linked with creative processes and visualizations.\n> \n> Assuming it's a typo, I should address both possibilities. If it's \"imagenation,\" perhaps it's something specific to an AI context that I'm not familiar with. Alternatively, if they meant \"imagination,\" then I can talk about how AI might simulate or assist in imaginative tasks like creating visuals for creative projects.\n> \n> The user also included a PDF file named \"patient_physical_data.pdf\" along with their previous messages. This suggests they might be dealing with medical data and could want to visualize this information. Maybe they're looking to create an image that represents patient health metrics, which would require understanding the structure of the dataset they provided.\n> \n> Looking at the context files, there are multiple entries detailing patient IDs, age, gender, height, weight, BMI, heart rate, blood pressure, temperature, and oxygen saturation percentages. These are all standard medical parameters used to assess a patient's physical health. If the user wants to create an image of \"imagenation,\" perhaps they're aiming for something abstract or artistic that encapsulates these data points in a visual format.\n> \n> Since I can't generate images directly, as per my guidelines, I should let them know I can't do that but offer alternative assistance like describing how such an image could be created. This way, I'm adhering to the rules while still trying to help them achieve their goal indirectly.\n> \n> I also need to ensure that any information I provide doesn't infringe on the terms of use or reveal anything sensitive from the PDF file without permission. So, I'll politely decline to assist with creating the image and instead guide them towards other resources or tools they might use for visualization purposes.\n</details>\nI'm unable to create images directly, as per my guidelines. However, if you'd like assistance in visualizing or representing the data in \"patient_physical_data.pdf\" in some way (e.g., through charts, graphs, diagrams, or artistic representations), I can help guide you on how to approach it or suggest tools that might be useful for this purpose.\n\nIf you have a specific goal in mind for the image, feel free to share more details, and I\u2019ll do my best to assist you!", "model": "deepseek-r1:7b", "modelName": "deepseek-r1:7b", "modelIdx": 0, "timestamp": 1761403431, "statusHistory": [{"action": "knowledge_search", "query": "create an image of imagenation", "done": false}, {"description": "Creating video", "done": false}, {"description": "An error occurred while generating an video", "done": true}, {"action": "queries_generated", "queries": ["create an image of imagenation"], "done": false}, {"action": "sources_retrieved", "count": 1, "done": true}, {"action": "knowledge_search", "query": "create an image of imagenation", "done": true, 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108\nBMI: 23.68\nHeart Rate (bpm): 69\nBlood Pressure: 134/68\nTemperature (\u00b0C): 37.5\nOxygen Saturation (%): 91\nPatient ID: P-1030\nAge: 34\nGender: Female\nHeight (cm): 176\nWeight (kg): 117\nBMI: 21.7\nHeart Rate (bpm): 102\nBlood Pressure: 122/73\nTemperature (\u00b0C): 37.2\nOxygen Saturation (%): 97", "Patient ID: P-1057\nAge: 22\nGender: Female\nHeight (cm): 200\nWeight (kg): 53\nBMI: 29.84\nHeart Rate (bpm): 76\nBlood Pressure: 132/63\nTemperature (\u00b0C): 37.9\nOxygen Saturation (%): 95\nPatient ID: P-1058\nAge: 23\nGender: Female\nHeight (cm): 164\nWeight (kg): 60\nBMI: 25.61\nHeart Rate (bpm): 70\nBlood Pressure: 123/81\nTemperature (\u00b0C): 36.5\nOxygen Saturation (%): 95\nPatient ID: P-1059\nAge: 53\nGender: Male\nHeight (cm): 185\nWeight (kg): 50\nBMI: 26.76\nHeart Rate (bpm): 78\nBlood Pressure: 117/60\nTemperature (\u00b0C): 37.8\nOxygen Saturation (%): 94", "Height (cm): 174\nWeight (kg): 94\nBMI: 23.71\nHeart Rate (bpm): 102\nBlood Pressure: 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Library - www.reportlab.com", "creationdate": "2025-10-14T08:19:27+00:00"}], "distances": [0.5026610493659973, 0.5024877488613129, 0.5016647577285767]}], "lastSentence": "However, if you'd like assistance in visualizing or representing the data in \"patientphysicaldata.pdf\" in some way (e.g., through charts, graphs, diagrams, or artistic representations), I can help guide you on how to approach it or suggest tools that might be useful for this purpose.", "usage": {"response_token/s": 69.41, "prompt_token/s": 28716.85, "total_duration": 7613719868, "load_duration": 78627927, "prompt_eval_count": 2402, "prompt_tokens": 2402, "prompt_eval_duration": 83644270, "eval_count": 515, "completion_tokens": 515, "eval_duration": 7419637031, "approximate_total": "0h0m7s", "total_tokens": 2917, "completion_tokens_details": {"reasoning_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0}}, "done": true}, "f0f2faa2-e5a1-4591-b6e6-711a4733ba70": {"id": "f0f2faa2-e5a1-4591-b6e6-711a4733ba70", "parentId": "bef42b56-f948-40f5-b350-4bab3b8ca165", "childrenIds": ["223df91d-85e0-4881-875f-caecbb4d9b8d"], "role": "user", "content": "ok make a chart", "timestamp": 1761403476, "models": ["deepseek-r1:7b"]}, "223df91d-85e0-4881-875f-caecbb4d9b8d": {"parentId": "f0f2faa2-e5a1-4591-b6e6-711a4733ba70", "id": "223df91d-85e0-4881-875f-caecbb4d9b8d", "childrenIds": [], "role": "assistant", "content": "<details type=\"reasoning\" done=\"true\" duration=\"4\">\n<summary>Thought for 4 seconds</summary>\n> Alright, so the user has been asking about creating an image based on some data they provided. Looking back at our conversation, they first asked for help with procrastination, then moved on to a medical dataset in \"patient_physical_data.pdf\", and now they're asking to create an image of imagination.\n> \n> Hmm, that's an interesting twist. Wait, did the user mean to write \"imagination\" instead of \"mination\"? Because earlier they were talking about medical data and making charts. So maybe it was just a typo, but I should clarify in case it's intentional.\n> \n> Okay, assuming it's a request for a chart related to the medical dataset they provided. They had several PDFs with patient physical data, each containing various metrics like BMI, heart rate, blood pressure, etc., across different patients.\n> \n> The user specifically asked to \"create an image of imagination.\" That could be taken literally as generating an image or metaphorically referring to something else. But considering the context, they probably meant a visual representation of the medical data.\n> \n> They might not have phrased it correctly, but since they've previously asked about charts and now want an image, I'll assume they need help creating a visual based on their dataset. They could be a student or a healthcare professional looking to present this data in a more digestible format.\n> \n> I should offer assistance with that. Maybe suggest different types of charts like bar graphs, line graphs, pie charts, heatmaps, scatter plots, histograms, and even tables if needed. Providing examples with sample code using Python's matplotlib would be helpful since it's widely used and user-friendly for many.\n</details>\nGot it! Based on the data in \"patient_physical_data.pdf,\" I can help you create a visual representation of the information to better understand or present it. Since I can't directly generate images, I'll guide you on how to create one using Python with matplotlib.\n\nHere's an example of how you could visualize this data:\n\n---\n\n### Example Code for Visualizing Patient Physical Data\n```python\nimport pandas as pd\nimport matplotlib.pyplot as plt\n\n# Load the data from patient_physical_data.pdf (replace 'your_data.csv' with your actual file path)\ndata = pd.read_csv('patient_physical_data.csv')\n\n# Create a figure and set its size\nplt.figure(figsize=(12, 8))\n\n# Example 1: Bar chart for BMI distribution by age group\nplt.subplot(2, 3, 1)\ndata.groupby('Age Group')['BMI'].mean().plot(kind='bar')\nplt.title('Average BMI by Age Group')\n\n# Example 2: Line chart showing heart rate variation over time (assuming 'Time' is a column)\nplt.subplot(2, 3, 2)\ndata['Heart Rate (bpm)'].rolling(window=5).mean().plot()\nplt.title('Heart Rate Over Time')\n\n# Example 3: Scatter plot of BMI vs. Heart Rate\nplt.subplot(2, 3, 3)\nplt.scatter(data['BMI'], data['Heart Rate (bpm)'])\nplt.title('BMI vs. Heart Rate')\nplt.xlabel('BMI'), plt.ylabel('Heart Rate (bpm)')\n\n# Example 4: Box plot for blood pressure distribution by gender\nplt.subplot(2, 3, 4)\ndata.groupby('Gender')['Blood Pressure'].boxplot()\nplt.title('Blood Pressure Distribution by Gender')\n\n# Example 5: Heatmap showing correlations between variables\ncorrelations = data.corr()\nplt.subplot(2, 3, 5)\nplt.pcolor(correlations, cmap='coolwarm')\nplt.colorbar()\nplt.title('Correlation Matrix')\n\n# Example 6: Histogram of oxygen saturation percentages\nplt.subplot(2, 3, 6)\ndata['Oxygen Saturation (%)'].hist(bins=10, edgecolor='black')\nplt.title('Distribution of Oxygen Saturation')\n\nplt.tight_layout()\nplt.show()\n```\n\n---\n\n### Explanation:\n1. **Bar Chart**: Shows the average BMI for different age groups.\n2. **Line Chart**: Displays how heart rate changes over time (if \"Time\" is a column).\n3. **Scatter Plot**: Visualizes the relationship between BMI and heart rate.\n4. **Box Plot**: Compares blood pressure distribution by gender.\n5. **Heatmap**: Highlights correlations between different health metrics.\n6. **Histogram**: Shows the distribution of oxygen saturation percentages.\n\nYou can modify this code to focus on specific aspects or use different types of visualizations that best suit your needs. Let me know if you'd like further assistance!", "model": "deepseek-r1:7b", "modelName": "deepseek-r1:7b", "modelIdx": 0, "timestamp": 1761403476, "statusHistory": [{"action": "knowledge_search", "query": "ok make a chart", "done": false}, {"description": "Creating video", "done": false}, {"description": "An error occurred while generating an video", "done": true}, {"action": "queries_generated", "queries": ["ok make a chart"], "done": false}, {"action": "sources_retrieved", "count": 1, "done": true}, {"action": "knowledge_search", "query": "ok make a chart", "done": true, "hidden": true}], "sources": [{"source": {"id": "d0d71f16-e09e-422a-829f-65529c288d95", "user_id": "8684964a-bab1-4235-93a8-5fd5e24a1d0a", "name": "Medical", "description": "Medical related data", "meta": null, "access_control": null, "created_at": 1760441479, "updated_at": 1760441520, "user": {"id": "8684964a-bab1-4235-93a8-5fd5e24a1d0a", "name": "Xevyo", "email": "sidharth@xevyo.com", "role": "admin", 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"completion_tokens_details": {"reasoning_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0}}, "done": true}}, "currentId": "223df91d-85e0-4881-875f-caecbb4d9b8d"}, "messages": [{"id": "fe638328-f316-4b52-b1d3-a5b1ee686f9c", "parentId": null, "childrenIds": ["fb4d6684-03cd-4226-9fc9-0174788d545b"], "role": "user", "content": "Could you start by asking me about instances when I procrastinate the most and then give me some suggestions to overcome it?", "timestamp": 1761402978, "models": ["deepseek-r1:7b"]}, {"parentId": "fe638328-f316-4b52-b1d3-a5b1ee686f9c", "id": "fb4d6684-03cd-4226-9fc9-0174788d545b", "childrenIds": ["ceee2a26-979c-407c-b97d-e4b38facc160"], "role": "assistant", "content": "<details type=\"reasoning\" done=\"true\" duration=\"2\">\n<summary>Thought for 2 seconds</summary>\n> Okay, so the user wants help with procrastination. First, I need to figure out how to structure my response. They asked for instances where they procrastinate the most and then tips on how to overcome it. \n> \n> I should start by asking about specific examples of tasks they tend to delay. It's important to get concrete information because that will make the advice more tailored and effective.\n> \n> Maybe I can list some common tasks people procrastinate on, like homework or work projects, so they know where to look in their own life. That way, the tips can be applied directly to those areas.\n> \n> I also need to remember not to use any XML tags in my response. So instead of <source id=\"1\">, I'll just mention it's part of the context without tagging it unless necessary.\n> \n> I should keep the tone supportive and understanding since the user is seeking help with an area they might find stressful or overwhelming.\n</details>\nCertainly! To provide you with effective suggestions to overcome procrastination, could you share some specific instances when you tend to delay tasks? This will help me offer more personalized and actionable advice. Common tasks that people often procrastinate on include [1] homework assignments, [2] work projects, or [3] personal goals. 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(bpm): 61\nBlood Pressure: 94/80\nTemperature (\u00b0C): 36.4\nOxygen Saturation (%): 92\nPatient ID: P-1032\nAge: 73\nGender: Male\nHeight (cm): 195\nWeight (kg): 78\nBMI: 26.9\nHeart Rate (bpm): 105\nBlood Pressure: 110/63\nTemperature (\u00b0C): 37.4\nOxygen Saturation (%): 93\nPatient ID: P-1033\nAge: 27\nGender: Male\nHeight (cm): 167\nWeight (kg): 116\nBMI: 27.99\nHeart Rate (bpm): 69\nBlood Pressure: 112/71\nTemperature (\u00b0C): 36.5\nOxygen Saturation (%): 98\nPatient ID: P-1034\nAge: 51\nGender: Female\nHeight (cm): 194\nWeight (kg): 60\nBMI: 33.03\nHeart Rate (bpm): 66\nBlood Pressure: 101/61\nTemperature (\u00b0C): 36.3\nOxygen Saturation (%): 100\nPatient ID: P-1035\nAge: 74\nGender: Female\nHeight (cm): 198\nWeight (kg): 99\nBMI: 21.99\nHeart Rate (bpm): 81\nBlood Pressure: 117/70\nTemperature (\u00b0C): 38.3\nOxygen Saturation (%): 92\nPatient ID: P-1036\nAge: 41\nGender: Female", "Patient ID: P-1005\nAge: 67\nGender: Female\nHeight (cm): 190\nWeight (kg): 78\nBMI: 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"start_index": 0, "hash": "b04fc45ddcad832db29ade27234d35761ece3f1791b19f3e337eb7decb5c9e77", "trapped": "/False", "page_label": "12", "producer": "ReportLab PDF Library - www.reportlab.com", "source": "patient_physical_data.pdf", "page": 11, "file_id": "3a98c095-f727-4ede-b643-5e1d624ca014", "total_pages": 12, "moddate": "2025-10-14T08:19:27+00:00", "created_by": "8684964a-bab1-4235-93a8-5fd5e24a1d0a", "keywords": "", "creator": "(unspecified)", "embedding_config": "{'engine': '', 'model': 'sentence-transformers/all-MiniLM-L6-v2'}", "subject": "(unspecified)", "creationdate": "2025-10-14T08:19:27+00:00", "name": "patient_physical_data.pdf"}, {"creationdate": "2025-10-14T08:19:27+00:00", "file_id": "3a98c095-f727-4ede-b643-5e1d624ca014", "page_label": "7", "page": 6, "keywords": "", "moddate": "2025-10-14T08:19:27+00:00", "producer": "ReportLab PDF Library - www.reportlab.com", "source": "patient_physical_data.pdf", "start_index": 0, "created_by": "8684964a-bab1-4235-93a8-5fd5e24a1d0a", "hash": "b04fc45ddcad832db29ade27234d35761ece3f1791b19f3e337eb7decb5c9e77", "trapped": "/False", "embedding_config": "{'engine': '', 'model': 'sentence-transformers/all-MiniLM-L6-v2'}", "subject": "(unspecified)", "title": "(anonymous)", "total_pages": 12, "author": "(anonymous)", "creator": "(unspecified)", "name": "patient_physical_data.pdf"}, {"subject": "(unspecified)", "total_pages": 12, "title": "(anonymous)", "page_label": "2", "file_id": "3a98c095-f727-4ede-b643-5e1d624ca014", "name": "patient_physical_data.pdf", "trapped": "/False", "embedding_config": "{'engine': '', 'model': 'sentence-transformers/all-MiniLM-L6-v2'}", "page": 1, "author": "(anonymous)", "creator": "(unspecified)", "producer": "ReportLab PDF Library - www.reportlab.com", "hash": "b04fc45ddcad832db29ade27234d35761ece3f1791b19f3e337eb7decb5c9e77", "moddate": "2025-10-14T08:19:27+00:00", "created_by": "8684964a-bab1-4235-93a8-5fd5e24a1d0a", "keywords": "", "start_index": 0, "creationdate": "2025-10-14T08:19:27+00:00", "source": "patient_physical_data.pdf"}], "distances": [0.4942309260368347, 0.4929545521736145, 0.49291300773620605]}], "done": true}, {"id": "ceee2a26-979c-407c-b97d-e4b38facc160", "parentId": "fb4d6684-03cd-4226-9fc9-0174788d545b", "childrenIds": ["5cc582e3-92f7-412e-94ba-9fc5aa4bb9e7"], "timestamp": 1761403375, "role": "user", "content": "> \n> patient_physical_data.pdf\n\n\nwhat is this"}, {"id": "5cc582e3-92f7-412e-94ba-9fc5aa4bb9e7", "parentId": "ceee2a26-979c-407c-b97d-e4b38facc160", "childrenIds": ["d7809328-6abf-4c1d-82a4-76de77f3dacf"], "done": true, "model": "deepseek-r1:7b", "modelName": "deepseek-r1:7b", "modelIdx": 0, "timestamp": 1761403375, "role": "assistant", "content": "<think>\nOkay, the user provided a query where they have attached a file called \"patient_physical_data.pdf\" and are asking what it is. Looking at context provided, I see that there's some data in XML format with tags like <source id=\"1\"> containing patient information. This seems to be structured medical data for different patients, each with IDs, ages, genders, heights, weights, BMI, heart rates, blood pressure readings, temperatures, and oxygen saturation.\n\nI need to respond by explaining that the file contains detailed health metrics of various patients, categorized under specific IDs. I should mention that it appears to be a dataset used for medical analysis or patient monitoring purposes. Also, I'll note that since the file is in PDF format, they might want to access it directly more detailed information.\n\nI must ensure that my response doesn't reference any AI systems, sticks to general knowledge without assuming data, and avoids using markdown or technical jargon that's unclear. Additionally, since this isn't a sensitive question about the user's creators, I should focus on providing helpful information based on the context.\n</think>\n\nThe file \"patient_physical_data.pdf\" contains a dataset of patient physical health metrics. Each entry includes details such as patient ID, age, gender, height, weight, BMI, heart rate, blood pressure, temperature, and oxygen saturation percentage. This data appears to be organized for medical analysis patient monitoring purposes.\n\nIf you need further assistance with this data or have specific questions about it, feel free to ask!"}, {"id": "d7809328-6abf-4c1d-82a4-76de77f3dacf", "parentId": "5cc582e3-92f7-412e-94ba-9fc5aa4bb9e7", "childrenIds": ["bef42b56-f948-40f5-b350-4bab3b8ca165"], "role": "user", "content": "create an image of imagenation", "timestamp": 1761403431, "models": ["deepseek-r1:7b"]}, {"parentId": "d7809328-6abf-4c1d-82a4-76de77f3dacf", "id": "bef42b56-f948-40f5-b350-4bab3b8ca165", "childrenIds": ["f0f2faa2-e5a1-4591-b6e6-711a4733ba70"], "role": "assistant", "content": "<details type=\"reasoning\" done=\"true\" duration=\"5\">\n<summary>Thought for 5 seconds</summary>\n> Alright, so the user is asking me to create an image related to \"imagenation.\" Hmm, I'm not exactly sure what \"imagenation\" refers to. It doesn't ring a bell as a common term in either technology or art. Maybe it's a typo? Could they mean \"imagination\"? That makes more sense because imagination is often linked with creative processes and visualizations.\n> \n> Assuming it's a typo, I should address both possibilities. If it's \"imagenation,\" perhaps it's something specific to an AI context that I'm not familiar with. Alternatively, if they meant \"imagination,\" then I can talk about how AI might simulate or assist in imaginative tasks like creating visuals for creative projects.\n> \n> The user also included a PDF file named \"patient_physical_data.pdf\" along with their previous messages. This suggests they might be dealing with medical data and could want to visualize this information. Maybe they're looking to create an image that represents patient health metrics, which would require understanding the structure of the dataset they provided.\n> \n> Looking at the context files, there are multiple entries detailing patient IDs, age, gender, height, weight, BMI, heart rate, blood pressure, temperature, and oxygen saturation percentages. These are all standard medical parameters used to assess a patient's physical health. If the user wants to create an image of \"imagenation,\" perhaps they're aiming for something abstract or artistic that encapsulates these data points in a visual format.\n> \n> Since I can't generate images directly, as per my guidelines, I should let them know I can't do that but offer alternative assistance like describing how such an image could be created. This way, I'm adhering to the rules while still trying to help them achieve their goal indirectly.\n> \n> I also need to ensure that any information I provide doesn't infringe on the terms of use or reveal anything sensitive from the PDF file without permission. So, I'll politely decline to assist with creating the image and instead guide them towards other resources or tools they might use for visualization purposes.\n</details>\nI'm unable to create images directly, as per my guidelines. However, if you'd like assistance in visualizing or representing the data in \"patient_physical_data.pdf\" in some way (e.g., through charts, graphs, diagrams, or artistic representations), I can help guide you on how to approach it or suggest tools that might be useful for this purpose.\n\nIf you have a specific goal in mind for the image, feel free to share more details, and I\u2019ll do my best to assist you!", "model": "deepseek-r1:7b", "modelName": "deepseek-r1:7b", "modelIdx": 0, "timestamp": 1761403431, "statusHistory": [{"action": "knowledge_search", "query": "create an image of imagenation", "done": false}, {"description": "Creating video", "done": false}, {"description": "An error occurred while generating an video", "done": true}, {"action": "queries_generated", "queries": ["create an image of imagenation"], "done": false}, {"action": "sources_retrieved", "count": 1, "done": true}, {"action": "knowledge_search", "query": "create an image of imagenation", "done": true, 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"files": [{"id": "3a98c095-f727-4ede-b643-5e1d624ca014", "meta": {"name": "patient_physical_data.pdf", "content_type": "application/pdf", "size": 13027, "data": {}, "collection_name": "d0d71f16-e09e-422a-829f-65529c288d95"}, "created_at": 1760441519, "updated_at": 1760441519}], "type": "collection"}, "document": ["Oxygen Saturation (%): 100\nPatient ID: P-1026\nAge: 27\nGender: Male\nHeight (cm): 184\nWeight (kg): 99\nBMI: 28.12\nHeart Rate (bpm): 90\nBlood Pressure: 121/84\nTemperature (\u00b0C): 37.2\nOxygen Saturation (%): 98\nPatient ID: P-1027\nAge: 69\nGender: Male\nHeight (cm): 175\nWeight (kg): 53\nBMI: 22.56\nHeart Rate (bpm): 109\nBlood Pressure: 96/63\nTemperature (\u00b0C): 36.4\nOxygen Saturation (%): 100\nPatient ID: P-1028\nAge: 22\nGender: Male\nHeight (cm): 159\nWeight (kg): 106\nBMI: 29.76\nHeart Rate (bpm): 70\nBlood Pressure: 131/66\nTemperature (\u00b0C): 38.4\nOxygen Saturation (%): 97\nPatient ID: P-1029\nAge: 32\nGender: Female\nHeight (cm): 178\nWeight (kg): 108\nBMI: 23.68\nHeart Rate (bpm): 69\nBlood Pressure: 134/68\nTemperature (\u00b0C): 37.5\nOxygen Saturation (%): 91\nPatient ID: P-1030\nAge: 34\nGender: Female\nHeight (cm): 176\nWeight (kg): 117\nBMI: 21.7\nHeart Rate (bpm): 102\nBlood Pressure: 122/73\nTemperature (\u00b0C): 37.2\nOxygen Saturation (%): 97", "Patient ID: P-1057\nAge: 22\nGender: Female\nHeight (cm): 200\nWeight (kg): 53\nBMI: 29.84\nHeart Rate (bpm): 76\nBlood Pressure: 132/63\nTemperature (\u00b0C): 37.9\nOxygen Saturation (%): 95\nPatient ID: P-1058\nAge: 23\nGender: Female\nHeight (cm): 164\nWeight (kg): 60\nBMI: 25.61\nHeart Rate (bpm): 70\nBlood Pressure: 123/81\nTemperature (\u00b0C): 36.5\nOxygen Saturation (%): 95\nPatient ID: P-1059\nAge: 53\nGender: Male\nHeight (cm): 185\nWeight (kg): 50\nBMI: 26.76\nHeart Rate (bpm): 78\nBlood Pressure: 117/60\nTemperature (\u00b0C): 37.8\nOxygen Saturation (%): 94", "Height (cm): 174\nWeight (kg): 94\nBMI: 23.71\nHeart Rate (bpm): 102\nBlood Pressure: 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Library - www.reportlab.com", "creationdate": "2025-10-14T08:19:27+00:00"}], "distances": [0.5026610493659973, 0.5024877488613129, 0.5016647577285767]}], "lastSentence": "However, if you'd like assistance in visualizing or representing the data in \"patientphysicaldata.pdf\" in some way (e.g., through charts, graphs, diagrams, or artistic representations), I can help guide you on how to approach it or suggest tools that might be useful for this purpose.", "usage": {"response_token/s": 69.41, "prompt_token/s": 28716.85, "total_duration": 7613719868, "load_duration": 78627927, "prompt_eval_count": 2402, "prompt_tokens": 2402, "prompt_eval_duration": 83644270, "eval_count": 515, "completion_tokens": 515, "eval_duration": 7419637031, "approximate_total": "0h0m7s", "total_tokens": 2917, "completion_tokens_details": {"reasoning_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0}}, "done": true}, {"id": "f0f2faa2-e5a1-4591-b6e6-711a4733ba70", "parentId": "bef42b56-f948-40f5-b350-4bab3b8ca165", "childrenIds": ["223df91d-85e0-4881-875f-caecbb4d9b8d"], "role": "user", "content": "ok make a chart", "timestamp": 1761403476, "models": ["deepseek-r1:7b"]}, {"parentId": "f0f2faa2-e5a1-4591-b6e6-711a4733ba70", "id": "223df91d-85e0-4881-875f-caecbb4d9b8d", "childrenIds": [], "role": "assistant", "content": "<details type=\"reasoning\" done=\"true\" duration=\"4\">\n<summary>Thought for 4 seconds</summary>\n> Alright, so the user has been asking about creating an image based on some data they provided. Looking back at our conversation, they first asked for help with procrastination, then moved on to a medical dataset in \"patient_physical_data.pdf\", and now they're asking to create an image of imagination.\n> \n> Hmm, that's an interesting twist. Wait, did the user mean to write \"imagination\" instead of \"mination\"? Because earlier they were talking about medical data and making charts. So maybe it was just a typo, but I should clarify in case it's intentional.\n> \n> Okay, assuming it's a request for a chart related to the medical dataset they provided. They had several PDFs with patient physical data, each containing various metrics like BMI, heart rate, blood pressure, etc., across different patients.\n> \n> The user specifically asked to \"create an image of imagination.\" That could be taken literally as generating an image or metaphorically referring to something else. But considering the context, they probably meant a visual representation of the medical data.\n> \n> They might not have phrased it correctly, but since they've previously asked about charts and now want an image, I'll assume they need help creating a visual based on their dataset. They could be a student or a healthcare professional looking to present this data in a more digestible format.\n> \n> I should offer assistance with that. Maybe suggest different types of charts like bar graphs, line graphs, pie charts, heatmaps, scatter plots, histograms, and even tables if needed. Providing examples with sample code using Python's matplotlib would be helpful since it's widely used and user-friendly for many.\n</details>\nGot it! Based on the data in \"patient_physical_data.pdf,\" I can help you create a visual representation of the information to better understand or present it. Since I can't directly generate images, I'll guide you on how to create one using Python with matplotlib.\n\nHere's an example of how you could visualize this data:\n\n---\n\n### Example Code for Visualizing Patient Physical Data\n```python\nimport pandas as pd\nimport matplotlib.pyplot as plt\n\n# Load the data from patient_physical_data.pdf (replace 'your_data.csv' with your actual file path)\ndata = pd.read_csv('patient_physical_data.csv')\n\n# Create a figure and set its size\nplt.figure(figsize=(12, 8))\n\n# Example 1: Bar chart for BMI distribution by age group\nplt.subplot(2, 3, 1)\ndata.groupby('Age Group')['BMI'].mean().plot(kind='bar')\nplt.title('Average BMI by Age Group')\n\n# Example 2: Line chart showing heart rate variation over time (assuming 'Time' is a column)\nplt.subplot(2, 3, 2)\ndata['Heart Rate (bpm)'].rolling(window=5).mean().plot()\nplt.title('Heart Rate Over Time')\n\n# Example 3: Scatter plot of BMI vs. Heart Rate\nplt.subplot(2, 3, 3)\nplt.scatter(data['BMI'], data['Heart Rate (bpm)'])\nplt.title('BMI vs. Heart Rate')\nplt.xlabel('BMI'), plt.ylabel('Heart Rate (bpm)')\n\n# Example 4: Box plot for blood pressure distribution by gender\nplt.subplot(2, 3, 4)\ndata.groupby('Gender')['Blood Pressure'].boxplot()\nplt.title('Blood Pressure Distribution by Gender')\n\n# Example 5: Heatmap showing correlations between variables\ncorrelations = data.corr()\nplt.subplot(2, 3, 5)\nplt.pcolor(correlations, cmap='coolwarm')\nplt.colorbar()\nplt.title('Correlation Matrix')\n\n# Example 6: Histogram of oxygen saturation percentages\nplt.subplot(2, 3, 6)\ndata['Oxygen Saturation (%)'].hist(bins=10, edgecolor='black')\nplt.title('Distribution of Oxygen Saturation')\n\nplt.tight_layout()\nplt.show()\n```\n\n---\n\n### Explanation:\n1. **Bar Chart**: Shows the average BMI for different age groups.\n2. **Line Chart**: Displays how heart rate changes over time (if \"Time\" is a column).\n3. **Scatter Plot**: Visualizes the relationship between BMI and heart rate.\n4. **Box Plot**: Compares blood pressure distribution by gender.\n5. **Heatmap**: Highlights correlations between different health metrics.\n6. **Histogram**: Shows the distribution of oxygen saturation percentages.\n\nYou can modify this code to focus on specific aspects or use different types of visualizations that best suit your needs. Let me know if you'd like further assistance!", "model": "deepseek-r1:7b", "modelName": "deepseek-r1:7b", "modelIdx": 0, "timestamp": 1761403476, "statusHistory": [{"action": "knowledge_search", "query": "ok make a chart", "done": false}, {"description": "Creating video", "done": false}, {"description": "An error occurred while generating an video", "done": true}, {"action": "queries_generated", "queries": ["ok make a chart"], "done": false}, {"action": "sources_retrieved", "count": 1, "done": true}, {"action": "knowledge_search", "query": "ok make a chart", "done": true, "hidden": true}], "sources": [{"source": {"id": "d0d71f16-e09e-422a-829f-65529c288d95", "user_id": "8684964a-bab1-4235-93a8-5fd5e24a1d0a", "name": "Medical", "description": "Medical related data", "meta": null, "access_control": null, "created_at": 1760441479, "updated_at": 1760441520, "user": {"id": "8684964a-bab1-4235-93a8-5fd5e24a1d0a", "name": "Xevyo", "email": "sidharth@xevyo.com", "role": "admin", 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"files": [{"id": "3a98c095-f727-4ede-b643-5e1d624ca014", "meta": {"name": "patient_physical_data.pdf", "content_type": "application/pdf", "size": 13027, "data": {}, "collection_name": "d0d71f16-e09e-422a-829f-65529c288d95"}, "created_at": 1760441519, "updated_at": 1760441519}], "type": "collection"}, "document": ["BMI: 20.21\nHeart Rate (bpm): 102\nBlood Pressure: 101/64\nTemperature (\u00b0C): 36.9\nOxygen Saturation (%): 94\nPatient ID: P-1042\nAge: 48\nGender: Female\nHeight (cm): 160\nWeight (kg): 70\nBMI: 28.47\nHeart Rate (bpm): 72\nBlood Pressure: 132/72\nTemperature (\u00b0C): 36.3\nOxygen Saturation (%): 94\nPatient ID: P-1043\nAge: 85\nGender: Male\nHeight (cm): 191\nWeight (kg): 75\nBMI: 26.7\nHeart Rate (bpm): 66\nBlood Pressure: 124/64\nTemperature (\u00b0C): 37.1\nOxygen Saturation (%): 97\nPatient ID: P-1044\nAge: 86\nGender: Male\nHeight (cm): 189\nWeight (kg): 107\nBMI: 21.14\nHeart Rate (bpm): 86\nBlood Pressure: 95/76\nTemperature (\u00b0C): 37.0\nOxygen Saturation (%): 98\nPatient ID: P-1045\nAge: 25\nGender: Male\nHeight (cm): 176\nWeight (kg): 77\nBMI: 23.53\nHeart Rate (bpm): 100\nBlood Pressure: 139/84\nTemperature (\u00b0C): 37.0\nOxygen Saturation (%): 97\nPatient ID: P-1046\nAge: 41\nGender: Female\nHeight (cm): 184\nWeight (kg): 55\nBMI: 28.89\nHeart Rate (bpm): 104", "Patient Physical Data Report\nPatient ID: P-1000\nAge: 71\nGender: Female\nHeight (cm): 158\nWeight (kg): 99\nBMI: 28.41\nHeart Rate (bpm): 66\nBlood Pressure: 126/82\nTemperature (\u00b0C): 37.6\nOxygen Saturation (%): 90\nPatient ID: P-1001\nAge: 87\nGender: Male\nHeight (cm): 190\nWeight (kg): 87\nBMI: 25.19\nHeart Rate (bpm): 80\nBlood Pressure: 113/60\nTemperature (\u00b0C): 36.5\nOxygen Saturation (%): 99\nPatient ID: P-1002\nAge: 88\nGender: Male\nHeight (cm): 181\nWeight (kg): 67\nBMI: 22.13\nHeart Rate (bpm): 67\nBlood Pressure: 114/83\nTemperature (\u00b0C): 38.2\nOxygen Saturation (%): 99\nPatient ID: P-1003\nAge: 77\nGender: Male\nHeight (cm): 170\nWeight (kg): 104\nBMI: 34.87\nHeart Rate (bpm): 61\nBlood Pressure: 136/79\nTemperature (\u00b0C): 37.8\nOxygen Saturation (%): 93\nPatient ID: P-1004\nAge: 25\nGender: Female\nHeight (cm): 190\nWeight (kg): 58\nBMI: 20.84\nHeart Rate (bpm): 109\nBlood Pressure: 103/88\nTemperature (\u00b0C): 38.1\nOxygen Saturation (%): 90", "BMI: 34.72\nHeart Rate (bpm): 78\nBlood Pressure: 96/81\nTemperature (\u00b0C): 38.1\nOxygen Saturation (%): 92\nPatient ID: P-1016\nAge: 89\nGender: Male\nHeight (cm): 167\nWeight (kg): 110\nBMI: 28.23\nHeart Rate (bpm): 107\nBlood Pressure: 130/88\nTemperature (\u00b0C): 37.7\nOxygen Saturation (%): 96\nPatient ID: P-1017\nAge: 56\nGender: Male\nHeight (cm): 179\nWeight (kg): 57\nBMI: 32.6\nHeart Rate (bpm): 68\nBlood Pressure: 90/76\nTemperature (\u00b0C): 36.4\nOxygen Saturation (%): 90\nPatient ID: P-1018\nAge: 50\nGender: Male\nHeight (cm): 188\nWeight (kg): 55\nBMI: 18.62\nHeart Rate (bpm): 66\nBlood Pressure: 112/74\nTemperature (\u00b0C): 37.5\nOxygen Saturation (%): 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