M4

{ "name": "Top Prescribed Drugs for 30‑Year‑Olds Post‑2100", "pinned": false, "createdAt": 1758962812656, "preset": "@local:m3-benchmark", "tokenCount": 3186, "systemPrompt": "", "messages": [ { "versions": [ { "type": "singleStep", "role": "user", "content": [ { "type": "text", "text": "Among patients in their 30s since 2100, what are the top three prescribed drugs?" } ] } ], "currentlySelected": 0 }, { "versions": [ { "type": "multiStep", "role": "assistant", "steps": [ { "type": "contentBlock", "stepIdentifier": "1758962828792-0.2765668704104868", "content": [ { "type": "text", "text": "The user asks: \"Among patients in their 30s since 2100, what are the top three prescribed drugs?\" We need to interpret. They want data from MIMIC-IV presumably about prescriptions (maybe 'prescriptions' or 'drug' tables). But we have limited schema. Need to inspect database. First get_database_schema.", "fromDraftModel": false, "tokensCount": 69, "isStructural": false } ], "defaultShouldIncludeInContext": true, "shouldIncludeInContext": true, "style": { "type": "thinking", "ended": true, "title": "Thought for 1.02 seconds" }, "prefix": "<|channel|>analysis<|message|>", "suffix": "<|end|>" }, { "type": "toolStatus", "stepIdentifier": "1758962829991-0.9324005207990567", "callId": 849489520600954, "statusState": { "status": { "type": "toolCallSucceeded", "timeMs": 20 }, "customStatus": "", "customWarnings": [] } }, { "type": "contentBlock", "stepIdentifier": "1758962830154-0.4782712053058037", "content": [ { "type": "toolCallRequest", "callId": 849489520600954, "toolCallRequestId": "588580846", "name": "get_database_schema", "parameters": {}, "pluginIdentifier": "mcp/m3" } ], "defaultShouldIncludeInContext": true, "shouldIncludeInContext": true, "genInfo": { "indexedModelIdentifier": "openai/gpt-oss-20b", "identifier": "openai/gpt-oss-20b", "loadModelConfig": { "fields": [ { "key": "llm.load.llama.cpuThreadPoolSize", "value": 7 }, { "key": "llm.load.contextLength", "value": 32000 }, { "key": "llm.load.numExperts", "value": 4 }, { "key": "llm.load.llama.acceleration.offloadRatio", "value": 1 } ] }, "predictionConfig": { "fields": [ { "key": "llm.prediction.promptTemplate", "value": { "type": "jinja", "jinjaPromptTemplate": { "template": "{#-\n In addition to the normal inputs of `messages` and `tools`, this template also accepts the\n following kwargs:\n - \"builtin_tools\": A list, can contain \"browser\" and/or \"python\".\n - \"model_identity\": A string that optionally describes the model identity.\n - \"reasoning_effort\": A string that describes the reasoning effort, defaults to \"medium\".\n #}\n\n{#- Tool Definition Rendering ============================================== #}\n{%- macro render_typescript_type(param_spec, required_params, is_nullable=false) -%}\n {%- if param_spec.type == \"array\" -%}\n {%- if param_spec['items'] -%}\n {%- if param_spec['items']['type'] == \"string\" -%}\n {{- \"string[]\" }}\n {%- elif param_spec['items']['type'] == \"number\" -%}\n {{- \"number[]\" }}\n {%- elif param_spec['items']['type'] == \"integer\" -%}\n {{- \"number[]\" }}\n {%- elif param_spec['items']['type'] == \"boolean\" -%}\n {{- \"boolean[]\" }}\n {%- else -%}\n {%- set inner_type = render_typescript_type(param_spec['items'], required_params) -%}\n {%- if inner_type == \"object | object\" or inner_type|length > 50 -%}\n {{- \"any[]\" }}\n {%- else -%}\n {{- inner_type + \"[]\" }}\n {%- endif -%}\n {%- endif -%}\n {%- if param_spec.nullable -%}\n {{- \" | null\" }}\n {%- endif -%}\n {%- else -%}\n {{- \"any[]\" }}\n {%- if param_spec.nullable -%}\n {{- \" | null\" }}\n {%- endif -%}\n {%- endif -%}\n {%- elif param_spec.type is defined and param_spec.type is iterable and param_spec.type is not string and param_spec.type is not mapping and param_spec.type[0] is defined -%}\n {#- Handle array of types like [\"object\", \"object\"] from Union[dict, list] #}\n {%- if param_spec.type | length > 1 -%}\n {{- param_spec.type | join(\" | \") }}\n {%- else -%}\n {{- param_spec.type[0] }}\n {%- endif -%}\n {%- elif param_spec.oneOf -%}\n {#- Handle oneOf schemas - check for complex unions and fallback to any #}\n {%- set has_object_variants = false -%}\n {%- for variant in param_spec.oneOf -%}\n {%- if variant.type == \"object\" -%}\n {%- set has_object_variants = true -%}\n {%- endif -%}\n {%- endfor -%}\n {%- if has_object_variants and param_spec.oneOf|length > 1 -%}\n {{- \"any\" }}\n {%- else -%}\n {%- for variant in param_spec.oneOf -%}\n {{- render_typescript_type(variant, required_params) -}}\n {%- if variant.description %}\n {{- \"// \" + variant.description }}\n {%- endif -%}\n {%- if variant.default is defined %}\n {{ \"// default: \" + variant.default|tojson }}\n {%- endif -%}\n {%- if not loop.last %}\n {{- \" | \" }}\n {% endif -%}\n {%- endfor -%}\n {%- endif -%}\n {%- elif param_spec.type == \"string\" -%}\n {%- if param_spec.enum -%}\n {{- '\"' + param_spec.enum|join('\" | \"') + '\"' -}}\n {%- else -%}\n {{- \"string\" }}\n {%- if param_spec.nullable %}\n {{- \" | null\" }}\n {%- endif -%}\n {%- endif -%}\n {%- elif param_spec.type == \"number\" -%}\n {{- \"number\" }}\n {%- elif param_spec.type == \"integer\" -%}\n {{- \"number\" }}\n {%- elif param_spec.type == \"boolean\" -%}\n {{- \"boolean\" }}\n\n {%- elif param_spec.type == \"object\" -%}\n {%- if param_spec.properties -%}\n {{- \"{\n\" }}\n {%- for prop_name, prop_spec in param_spec.properties.items() -%}\n {{- prop_name -}}\n {%- if prop_name not in (param_spec.required or []) -%}\n {{- \"?\" }}\n {%- endif -%}\n {{- \": \" }}\n {{ render_typescript_type(prop_spec, param_spec.required or []) }}\n {%- if not loop.last -%}\n {{-\", \" }}\n {%- endif -%}\n {%- endfor -%}\n {{- \"}\" }}\n {%- else -%}\n {{- \"object\" }}\n {%- endif -%}\n {%- else -%}\n {{- \"any\" }}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro render_tool_namespace(namespace_name, tools) -%}\n {{- \"## \" + namespace_name + \"\n\n\" }}\n {{- \"namespace \" + namespace_name + \" {\n\n\" }}\n {%- for tool in tools %}\n {%- set tool = tool.function %}\n {{- \"// \" + tool.description + \"\n\" }}\n {{- \"type \"+ tool.name + \" = \" }}\n {%- if tool.parameters and tool.parameters.properties %}\n {{- \"(_: {\n\" }}\n {%- for param_name, param_spec in tool.parameters.properties.items() %}\n {%- if param_spec.description %}\n {{- \"// \" + param_spec.description + \"\n\" }}\n {%- endif %}\n {{- param_name }}\n {%- if param_name not in (tool.parameters.required or []) -%}\n {{- \"?\" }}\n {%- endif -%}\n {{- \": \" }}\n {{- render_typescript_type(param_spec, tool.parameters.required or []) }}\n {%- if param_spec.default is defined -%}\n {%- if param_spec.enum %}\n {{- \", // default: \" + param_spec.default }}\n {%- elif param_spec.oneOf %}\n {{- \"// default: \" + param_spec.default }}\n {%- else %}\n {{- \", // default: \" + param_spec.default|tojson }}\n {%- endif -%}\n {%- endif -%}\n {%- if not loop.last %}\n {{- \",\n\" }}\n {%- else %}\n {{- \"\n\" }}\n {%- endif -%}\n {%- endfor %}\n {{- \"}) => any;\n\n\" }}\n {%- else -%}\n {{- \"() => any;\n\n\" }}\n {%- endif -%}\n {%- endfor %}\n {{- \"} // namespace \" + namespace_name }}\n{%- endmacro -%}\n\n{%- macro render_builtin_tools(browser_tool, python_tool) -%}\n {%- if browser_tool %}\n {{- \"## browser\n\n\" }}\n {{- \"// Tool for browsing.\n\" }}\n {{- \"// The `cursor` appears in brackets before each browsing display: `[{cursor}]`.\n\" }}\n {{- \"// Cite information from the tool using the following format:\n\" }}\n {{- \"// `【{cursor}†L{line_start}(-L{line_end})?】`, for example: `【6†L9-L11】` or `【8†L3】`.\n\" }}\n {{- \"// Do not quote more than 10 words directly from the tool output.\n\" }}\n {{- \"// sources=web (default: web)\n\" }}\n {{- \"namespace browser {\n\n\" }}\n {{- \"// Searches for information related to `query` and displays `topn` results.\n\" }}\n {{- \"type search = (_: {\n\" }}\n {{- \"query: string,\n\" }}\n {{- \"topn?: number, // default: 10\n\" }}\n {{- \"source?: string,\n\" }}\n {{- \"}) => any;\n\n\" }}\n {{- \"// Opens the link `id` from the page indicated by `cursor` starting at line number `loc`, showing `num_lines` lines.\n\" }}\n {{- \"// Valid link ids are displayed with the formatting: `【{id}†.*】`.\n\" }}\n {{- \"// If `cursor` is not provided, the most recent page is implied.\n\" }}\n {{- \"// If `id` is a string, it is treated as a fully qualified URL associated with `source`.\n\" }}\n {{- \"// If `loc` is not provided, the viewport will be positioned at the beginning of the document or centered on the most relevant passage, if available.\n\" }}\n {{- \"// Use this function without `id` to scroll to a new location of an opened page.\n\" }}\n {{- \"type open = (_: {\n\" }}\n {{- \"id?: number | string, // default: -1\n\" }}\n {{- \"cursor?: number, // default: -1\n\" }}\n {{- \"loc?: number, // default: -1\n\" }}\n {{- \"num_lines?: number, // default: -1\n\" }}\n {{- \"view_source?: boolean, // default: false\n\" }}\n {{- \"source?: string,\n\" }}\n {{- \"}) => any;\n\n\" }}\n {{- \"// Finds exact matches of `pattern` in the current page, or the page given by `cursor`.\n\" }}\n {{- \"type find = (_: {\n\" }}\n {{- \"pattern: string,\n\" }}\n {{- \"cursor?: number, // default: -1\n\" }}\n {{- \"}) => any;\n\n\" }}\n {{- \"} // namespace browser\n\n\" }}\n {%- endif -%}\n\n {%- if python_tool %}\n {{- \"## python\n\n\" }}\n {{- \"Use this tool to execute Python code in your chain of thought. The code will not be shown to the user. This tool should be used for internal reasoning, but not for code that is intended to be visible to the user (e.g. when creating plots, tables, or files).\n\n\" }}\n {{- \"When you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment. python will respond with the output of the execution or time out after 120.0 seconds. The drive at '/mnt/data' can be used to save and persist user files. Internet access for this session is UNKNOWN. Depends on the cluster.\n\n\" }}\n {%- endif -%}\n{%- endmacro -%}\n\n{#- System Message Construction ============================================ #}\n{%- macro build_system_message() -%}\n {%- if model_identity is not defined %}\n {%- set model_identity = \"You are ChatGPT, a large language model trained by OpenAI.\" %}\n {%- endif %}\n {{- model_identity + \"\n\" }}\n {{- \"Knowledge cutoff: 2024-06\n\" }}\n {{- \"Current date: \" + strftime_now(\"%Y-%m-%d\") + \"\n\n\" }}\n {%- if reasoning_effort is not defined %}\n {%- set reasoning_effort = \"medium\" %}\n {%- endif %}\n {{- \"Reasoning: \" + reasoning_effort + \"\n\n\" }}\n {%- if builtin_tools %}\n {{- \"# Tools\n\n\" }}\n {%- set available_builtin_tools = namespace(browser=false, python=false) %}\n {%- for tool in builtin_tools %}\n {%- if tool == \"browser\" %}\n {%- set available_builtin_tools.browser = true %}\n {%- elif tool == \"python\" %}\n {%- set available_builtin_tools.python = true %}\n {%- endif %}\n {%- endfor %}\n {{- render_builtin_tools(available_builtin_tools.browser, available_builtin_tools.python) }}\n {%- endif -%}\n {{- \"# Valid channels: analysis, commentary, final. Channel must be included for every message.\" }}\n {%- if tools -%}\n {{- \"\nCalls to these tools must go to the commentary channel: 'functions'.\" }}\n {%- endif -%}\n{%- endmacro -%}\n\n{#- Main Template Logic ================================================= #}\n{#- Set defaults #}\n\n{#- Render system message #}\n{{- \"<|start|>system<|message|>\" }}\n{{- build_system_message() }}\n{{- \"<|end|>\" }}\n\n{#- Extract developer message #}\n{%- if messages[0].role == \"developer\" or messages[0].role == \"system\" %}\n {%- set developer_message = messages[0].content %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set developer_message = \"\" %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{#- Render developer message #}\n{%- if developer_message or tools %}\n {{- \"<|start|>developer<|message|>\" }}\n {%- if developer_message %}\n {{- \"# Instructions\n\n\" }}\n {{- developer_message }}\n {%- endif %}\n {%- if tools -%}\n {{- \"\n\n\" }}\n {{- \"# Tools\n\n\" }}\n {{- render_tool_namespace(\"functions\", tools) }}\n {%- endif -%}\n {{- \"<|end|>\" }}\n{%- endif %}\n\n{#- Render messages #}\n{%- set last_tool_call = namespace(name=none) %}\n{%- for message in loop_messages -%}\n {#- At this point only assistant/user/tool messages should remain #}\n {%- if message.role == 'assistant' -%}\n {#- Checks to ensure the messages are being passed in the format we expect #}\n {%- if \"content\" in message %}\n {%- if \"<|channel|>analysis<|message|>\" in message.content or \"<|channel|>final<|message|>\" in message.content %}\n {{- raise_exception(\"You have passed a message containing <|channel|> tags in the content field. Instead of doing this, you should pass analysis messages (the string between '<|message|>' and '<|end|>') in the 'thinking' field, and final messages (the string between '<|message|>' and '<|end|>') in the 'content' field.\") }}\n {%- endif %}\n {%- endif %}\n {%- if \"thinking\" in message %}\n {%- if \"<|channel|>analysis<|message|>\" in message.thinking or \"<|channel|>final<|message|>\" in message.thinking %}\n {{- raise_exception(\"You have passed a message containing <|channel|> tags in the thinking field. Instead of doing this, you should pass analysis messages (the string between '<|message|>' and '<|end|>') in the 'thinking' field, and final messages (the string between '<|message|>' and '<|end|>') in the 'content' field.\") }}\n {%- endif %}\n {%- endif %}\n {%- if \"tool_calls\" in message %}\n {#- We assume max 1 tool call per message, and so we infer the tool call name #}\n {#- in \"tool\" messages from the most recent assistant tool call name #}\n {%- set tool_call = message.tool_calls[0] %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {%- if message.content and message.thinking %}\n {{- raise_exception(\"Cannot pass both content and thinking in an assistant message with tool calls! Put the analysis message in one or the other, but not both.\") }}\n {%- elif message.content %}\n {{- \"<|start|>assistant<|channel|>analysis<|message|>\" + message.content + \"<|end|>\" }}\n {%- elif message.thinking %}\n {{- \"<|start|>assistant<|channel|>analysis<|message|>\" + message.thinking + \"<|end|>\" }}\n {%- endif %}\n {{- \"<|start|>assistant to=\" }}\n {{- \"functions.\" + tool_call.name + \"<|channel|>commentary \" }}\n {{- (tool_call.content_type if tool_call.content_type is defined else \"json\") + \"<|message|>\" }}\n {{- tool_call.arguments|tojson }}\n {{- \"<|call|>\" }}\n {%- set last_tool_call.name = tool_call.name %}\n {%- elif loop.last and not add_generation_prompt %}\n {#- Only render the CoT if the final turn is an assistant turn and add_generation_prompt is false #}\n {#- This is a situation that should only occur in training, never in inference. #}\n {%- if \"thinking\" in message %}\n {{- \"<|start|>assistant<|channel|>analysis<|message|>\" + message.thinking + \"<|end|>\" }}\n {%- endif %}\n {#- <|return|> indicates the end of generation, but <|end|> does not #}\n {#- <|return|> should never be an input to the model, but we include it as the final token #}\n {#- when training, so the model learns to emit it. #}\n {{- \"<|start|>assistant<|channel|>final<|message|>\" + message.content + \"<|return|>\" }}\n {%- else %}\n {#- CoT is dropped during all previous turns, so we never render it for inference #}\n {{- \"<|start|>assistant<|channel|>final<|message|>\" + message.content + \"<|end|>\" }}\n {%- set last_tool_call.name = none %}\n {%- endif %}\n {%- elif message.role == 'tool' -%}\n {%- if last_tool_call.name is none %}\n {{- raise_exception(\"Message has tool role, but there was no previous assistant message with a tool call!\") }}\n {%- endif %}\n {{- \"<|start|>functions.\" + last_tool_call.name }}\n {{- \" to=assistant<|channel|>commentary<|message|>\" + message.content|tojson + \"<|end|>\" }}\n {%- elif message.role == 'user' -%}\n {{- \"<|start|>user<|message|>\" + message.content + \"<|end|>\" }}\n {%- endif -%}\n{%- endfor -%}\n\n{#- Generation prompt #}\n{%- if add_generation_prompt -%}\n<|start|>assistant\n{%- endif -%}" }, "stopStrings": [] } }, { "key": "llm.prediction.llama.cpuThreads", "value": 7 }, { "key": "llm.prediction.contextPrefill", "value": [] }, { "key": "llm.prediction.temperature", "value": 0.8 }, { "key": "llm.prediction.topKSampling", "value": 40 }, { "key": "llm.prediction.topPSampling", "value": { "checked": true, "value": 0.8 } }, { "key": "llm.prediction.repeatPenalty", "value": { "checked": true, "value": 1.1 } }, { "key": "llm.prediction.minPSampling", "value": { "checked": true, "value": 0.05 } }, { "key": "ext.virtualModel.customField.openai.gptOss20b.reasoningEffort", "value": "medium" }, { "key": "llm.prediction.tools", "value": { "type": "toolArray", "tools": [ { "type": "function", "function": { "name": "get_database_schema", "description": "🔍 Discover what data is available in the MIMIC-IV database.\n\n **When to use:** Start here when you need to understand what tables exist, or when someone asks about data that might be in multiple tables.\n\n **What this does:** Shows all available tables so you can identify which ones contain the data you need.\n\n **Next steps after using this:**\n - If you see relevant tables, use `get_table_info(table_name)` to explore their structure\n - Common tables: `patients` (demographics), `admissions` (hospital stays), `icustays` (ICU data), `labevents` (lab results)\n\n Returns:\n List of all available tables in the database with current backend info\n ", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "get_table_info", "description": "📋 Explore a specific table's structure and see sample data.\n\n **When to use:** After you know which table you need (from `get_database_schema()`), use this to understand the columns and data format.\n\n **What this does:**\n - Shows column names, types, and constraints\n - Displays sample rows so you understand the actual data format\n - Helps you write accurate SQL queries\n\n **Pro tip:** Always look at sample data! It shows you the actual values, date formats, and data patterns.\n\n Args:\n table_name: Exact table name from the schema (case-sensitive). Can be simple name or fully qualified BigQuery name.\n show_sample: Whether to include sample rows (default: True, recommended)\n\n Returns:\n Complete table structure with sample data to help you write queries\n ", "parameters": { "type": "object", "properties": { "table_name": { "title": "Table Name", "type": "string" }, "show_sample": { "default": true, "title": "Show Sample", "type": "boolean" } }, "required": [ "table_name" ] } } }, { "type": "function", "function": { "name": "execute_mimic_query", "description": "🚀 Execute SQL queries to analyze MIMIC-IV data.\n\n **💡 Pro tip:** For best results, explore the database structure first!\n\n **Recommended workflow (especially for smaller models):**\n 1. **See available tables:** Use `get_database_schema()` to list all tables\n 2. **Examine table structure:** Use `get_table_info('table_name')` to see columns and sample data\n 3. **Write your SQL query:** Use exact table/column names from exploration\n\n **Why exploration helps:**\n - Table names vary between backends (SQLite vs BigQuery)\n - Column names may be unexpected (e.g., age might be 'anchor_age')\n - Sample data shows actual formats and constraints\n\n Args:\n sql_query: Your SQL SELECT query (must be SELECT only)\n\n Returns:\n Query results or helpful error messages with next steps\n ", "parameters": { "type": "object", "properties": { "sql_query": { "title": "Sql Query", "type": "string" } }, "required": [ "sql_query" ] } } }, { "type": "function", "function": { "name": "get_icu_stays", "description": "🏥 Get ICU stay information and length of stay data.\n\n **⚠️ Note:** This is a convenience function that assumes standard MIMIC-IV table structure.\n **For reliable queries:** Use `get_database_schema()` → `get_table_info()` → `execute_mimic_query()` workflow.\n\n **What you'll get:** Patient IDs, admission times, length of stay, and ICU details.\n\n Args:\n patient_id: Specific patient ID to query (optional)\n limit: Maximum number of records to return (default: 10)\n\n Returns:\n ICU stay data as formatted text or guidance if table not found\n ", "parameters": { "type": "object", "properties": { "patient_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Patient Id" }, "limit": { "default": 10, "title": "Limit", "type": "integer" } } } } }, { "type": "function", "function": { "name": "get_lab_results", "description": "🧪 Get laboratory test results quickly.\n\n **⚠️ Note:** This is a convenience function that assumes standard MIMIC-IV table structure.\n **For reliable queries:** Use `get_database_schema()` → `get_table_info()` → `execute_mimic_query()` workflow.\n\n **What you'll get:** Lab values, timestamps, patient IDs, and test details.\n\n Args:\n patient_id: Specific patient ID to query (optional)\n lab_item: Lab item to search for in the value field (optional)\n limit: Maximum number of records to return (default: 20)\n\n Returns:\n Lab results as formatted text or guidance if table not found\n ", "parameters": { "type": "object", "properties": { "patient_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Patient Id" }, "lab_item": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Lab Item" }, "limit": { "default": 20, "title": "Limit", "type": "integer" } } } } }, { "type": "function", "function": { "name": "get_race_distribution", "description": "📊 Get race distribution from hospital admissions.\n\n **⚠️ Note:** This is a convenience function that assumes standard MIMIC-IV table structure.\n **For reliable queries:** Use `get_database_schema()` → `get_table_info()` → `execute_mimic_query()` workflow.\n\n **What you'll get:** Count of patients by race category, ordered by frequency.\n\n Args:\n limit: Maximum number of race categories to return (default: 10)\n\n Returns:\n Race distribution as formatted text or guidance if table not found\n ", "parameters": { "type": "object", "properties": { "limit": { "default": 10, "title": "Limit", "type": "integer" } } } } } ] } } ] }, "stats": { "stopReason": "eosFound", "tokensPerSecond": 51.37537589650031, "numGpuLayers": -1, "timeToFirstTokenSec": 2.555, "totalTimeSec": 1.751, "promptTokensCount": 1357, "predictedTokensCount": 90, "totalTokensCount": 1447 } } }, { "type": "contentBlock", "stepIdentifier": "1758962830174-0.7003801053258591", "content": [ { "type": "toolCallResult", "callId": 849489520600954, "toolCallRequestId": "588580846", "content": "[{\"type\":\"text\",\"text\":\"🔧 **Current Backend:** SQLite (local database)\\n📁 **Database Path:** /Users/rafraf/Documents/code/MIT/m3/data/databases/mimic_iv.sqlite\\n\\n📋 **Available Tables:**\\n name\\n admissions\\n chartevents\\n cost\\n d_icd_diagnoses\\n d_icd_procedures\\n d_items\\n d_labitems\\n diagnoses_icd\\n icustays\\n inputevents\\n labevents\\nmicrobiologyevents\\n outputevents\\n patients\\n prescriptions\\n procedures_icd\\n transfers\"}]" } ], "roleOverride": "tool", "defaultShouldIncludeInContext": true, "shouldIncludeInContext": true }, { "type": "contentBlock", "stepIdentifier": "1758962830822-0.8828192025769019", "content": [ { "type": "text", "text": "Now we know tables: prescriptions table likely contains drug info. Let's inspect prescriptions structure.", "fromDraftModel": false, "tokensCount": 17, "isStructural": false } ], "defaultShouldIncludeInContext": true, "shouldIncludeInContext": true, "style": { "type": "thinking", "ended": true, "title": "Thought for a brief moment" }, "prefix": "<|channel|>analysis<|message|>", "suffix": "<|end|>" }, { "type": "toolStatus", "stepIdentifier": "1758962831174-0.028730331207804438", "callId": 849489520600955, "statusState": { "status": { "type": "toolCallSucceeded", "timeMs": 7 }, "customStatus": "", "customWarnings": [] } }, { "type": "contentBlock", "stepIdentifier": "1758962831554-0.43802189005210035", "content": [ { "type": "toolCallRequest", "callId": 849489520600955, "toolCallRequestId": "638370855", "name": "get_table_info", "parameters": { "table_name": "prescriptions", "show_sample": true }, "pluginIdentifier": "mcp/m3" } ], "defaultShouldIncludeInContext": true, "shouldIncludeInContext": true, "genInfo": { "indexedModelIdentifier": "openai/gpt-oss-20b", "identifier": "openai/gpt-oss-20b", "loadModelConfig": { "fields": [ { "key": "llm.load.llama.cpuThreadPoolSize", "value": 7 }, { "key": "llm.load.contextLength", "value": 32000 }, { "key": "llm.load.numExperts", "value": 4 }, { "key": "llm.load.llama.acceleration.offloadRatio", "value": 1 } ] }, "predictionConfig": { "fields": [ { "key": "llm.prediction.promptTemplate", "value": { "type": "jinja", "jinjaPromptTemplate": { "template": "{#-\n In addition to the normal inputs of `messages` and `tools`, this template also accepts the\n following kwargs:\n - \"builtin_tools\": A list, can contain \"browser\" and/or \"python\".\n - \"model_identity\": A string that optionally describes the model identity.\n - \"reasoning_effort\": A string that describes the reasoning effort, defaults to \"medium\".\n #}\n\n{#- Tool Definition Rendering ============================================== #}\n{%- macro render_typescript_type(param_spec, required_params, is_nullable=false) -%}\n {%- if param_spec.type == \"array\" -%}\n {%- if param_spec['items'] -%}\n {%- if param_spec['items']['type'] == \"string\" -%}\n {{- \"string[]\" }}\n {%- elif param_spec['items']['type'] == \"number\" -%}\n {{- \"number[]\" }}\n {%- elif param_spec['items']['type'] == \"integer\" -%}\n {{- \"number[]\" }}\n {%- elif param_spec['items']['type'] == \"boolean\" -%}\n {{- \"boolean[]\" }}\n {%- else -%}\n {%- set inner_type = render_typescript_type(param_spec['items'], required_params) -%}\n {%- if inner_type == \"object | object\" or inner_type|length > 50 -%}\n {{- \"any[]\" }}\n {%- else -%}\n {{- inner_type + \"[]\" }}\n {%- endif -%}\n {%- endif -%}\n {%- if param_spec.nullable -%}\n {{- \" | null\" }}\n {%- endif -%}\n {%- else -%}\n {{- \"any[]\" }}\n {%- if param_spec.nullable -%}\n {{- \" | null\" }}\n {%- endif -%}\n {%- endif -%}\n {%- elif param_spec.type is defined and param_spec.type is iterable and param_spec.type is not string and param_spec.type is not mapping and param_spec.type[0] is defined -%}\n {#- Handle array of types like [\"object\", \"object\"] from Union[dict, list] #}\n {%- if param_spec.type | length > 1 -%}\n {{- param_spec.type | join(\" | \") }}\n {%- else -%}\n {{- param_spec.type[0] }}\n {%- endif -%}\n {%- elif param_spec.oneOf -%}\n {#- Handle oneOf schemas - check for complex unions and fallback to any #}\n {%- set has_object_variants = false -%}\n {%- for variant in param_spec.oneOf -%}\n {%- if variant.type == \"object\" -%}\n {%- set has_object_variants = true -%}\n {%- endif -%}\n {%- endfor -%}\n {%- if has_object_variants and param_spec.oneOf|length > 1 -%}\n {{- \"any\" }}\n {%- else -%}\n {%- for variant in param_spec.oneOf -%}\n {{- render_typescript_type(variant, required_params) -}}\n {%- if variant.description %}\n {{- \"// \" + variant.description }}\n {%- endif -%}\n {%- if variant.default is defined %}\n {{ \"// default: \" + variant.default|tojson }}\n {%- endif -%}\n {%- if not loop.last %}\n {{- \" | \" }}\n {% endif -%}\n {%- endfor -%}\n {%- endif -%}\n {%- elif param_spec.type == \"string\" -%}\n {%- if param_spec.enum -%}\n {{- '\"' + param_spec.enum|join('\" | \"') + '\"' -}}\n {%- else -%}\n {{- \"string\" }}\n {%- if param_spec.nullable %}\n {{- \" | null\" }}\n {%- endif -%}\n {%- endif -%}\n {%- elif param_spec.type == \"number\" -%}\n {{- \"number\" }}\n {%- elif param_spec.type == \"integer\" -%}\n {{- \"number\" }}\n {%- elif param_spec.type == \"boolean\" -%}\n {{- \"boolean\" }}\n\n {%- elif param_spec.type == \"object\" -%}\n {%- if param_spec.properties -%}\n {{- \"{\n\" }}\n {%- for prop_name, prop_spec in param_spec.properties.items() -%}\n {{- prop_name -}}\n {%- if prop_name not in (param_spec.required or []) -%}\n {{- \"?\" }}\n {%- endif -%}\n {{- \": \" }}\n {{ render_typescript_type(prop_spec, param_spec.required or []) }}\n {%- if not loop.last -%}\n {{-\", \" }}\n {%- endif -%}\n {%- endfor -%}\n {{- \"}\" }}\n {%- else -%}\n {{- \"object\" }}\n {%- endif -%}\n {%- else -%}\n {{- \"any\" }}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro render_tool_namespace(namespace_name, tools) -%}\n {{- \"## \" + namespace_name + \"\n\n\" }}\n {{- \"namespace \" + namespace_name + \" {\n\n\" }}\n {%- for tool in tools %}\n {%- set tool = tool.function %}\n {{- \"// \" + tool.description + \"\n\" }}\n {{- \"type \"+ tool.name + \" = \" }}\n {%- if tool.parameters and tool.parameters.properties %}\n {{- \"(_: {\n\" }}\n {%- for param_name, param_spec in tool.parameters.properties.items() %}\n {%- if param_spec.description %}\n {{- \"// \" + param_spec.description + \"\n\" }}\n {%- endif %}\n {{- param_name }}\n {%- if param_name not in (tool.parameters.required or []) -%}\n {{- \"?\" }}\n {%- endif -%}\n {{- \": \" }}\n {{- render_typescript_type(param_spec, tool.parameters.required or []) }}\n {%- if param_spec.default is defined -%}\n {%- if param_spec.enum %}\n {{- \", // default: \" + param_spec.default }}\n {%- elif param_spec.oneOf %}\n {{- \"// default: \" + param_spec.default }}\n {%- else %}\n {{- \", // default: \" + param_spec.default|tojson }}\n {%- endif -%}\n {%- endif -%}\n {%- if not loop.last %}\n {{- \",\n\" }}\n {%- else %}\n {{- \"\n\" }}\n {%- endif -%}\n {%- endfor %}\n {{- \"}) => any;\n\n\" }}\n {%- else -%}\n {{- \"() => any;\n\n\" }}\n {%- endif -%}\n {%- endfor %}\n {{- \"} // namespace \" + namespace_name }}\n{%- endmacro -%}\n\n{%- macro render_builtin_tools(browser_tool, python_tool) -%}\n {%- if browser_tool %}\n {{- \"## browser\n\n\" }}\n {{- \"// Tool for browsing.\n\" }}\n {{- \"// The `cursor` appears in brackets before each browsing display: `[{cursor}]`.\n\" }}\n {{- \"// Cite information from the tool using the following format:\n\" }}\n {{- \"// `【{cursor}†L{line_start}(-L{line_end})?】`, for example: `【6†L9-L11】` or `【8†L3】`.\n\" }}\n {{- \"// Do not quote more than 10 words directly from the tool output.\n\" }}\n {{- \"// sources=web (default: web)\n\" }}\n {{- \"namespace browser {\n\n\" }}\n {{- \"// Searches for information related to `query` and displays `topn` results.\n\" }}\n {{- \"type search = (_: {\n\" }}\n {{- \"query: string,\n\" }}\n {{- \"topn?: number, // default: 10\n\" }}\n {{- \"source?: string,\n\" }}\n {{- \"}) => any;\n\n\" }}\n {{- \"// Opens the link `id` from the page indicated by `cursor` starting at line number `loc`, showing `num_lines` lines.\n\" }}\n {{- \"// Valid link ids are displayed with the formatting: `【{id}†.*】`.\n\" }}\n {{- \"// If `cursor` is not provided, the most recent page is implied.\n\" }}\n {{- \"// If `id` is a string, it is treated as a fully qualified URL associated with `source`.\n\" }}\n {{- \"// If `loc` is not provided, the viewport will be positioned at the beginning of the document or centered on the most relevant passage, if available.\n\" }}\n {{- \"// Use this function without `id` to scroll to a new location of an opened page.\n\" }}\n {{- \"type open = (_: {\n\" }}\n {{- \"id?: number | string, // default: -1\n\" }}\n {{- \"cursor?: number, // default: -1\n\" }}\n {{- \"loc?: number, // default: -1\n\" }}\n {{- \"num_lines?: number, // default: -1\n\" }}\n {{- \"view_source?: boolean, // default: false\n\" }}\n {{- \"source?: string,\n\" }}\n {{- \"}) => any;\n\n\" }}\n {{- \"// Finds exact matches of `pattern` in the current page, or the page given by `cursor`.\n\" }}\n {{- \"type find = (_: {\n\" }}\n {{- \"pattern: string,\n\" }}\n {{- \"cursor?: number, // default: -1\n\" }}\n {{- \"}) => any;\n\n\" }}\n {{- \"} // namespace browser\n\n\" }}\n {%- endif -%}\n\n {%- if python_tool %}\n {{- \"## python\n\n\" }}\n {{- \"Use this tool to execute Python code in your chain of thought. The code will not be shown to the user. This tool should be used for internal reasoning, but not for code that is intended to be visible to the user (e.g. when creating plots, tables, or files).\n\n\" }}\n {{- \"When you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment. python will respond with the output of the execution or time out after 120.0 seconds. The drive at '/mnt/data' can be used to save and persist user files. Internet access for this session is UNKNOWN. Depends on the cluster.\n\n\" }}\n {%- endif -%}\n{%- endmacro -%}\n\n{#- System Message Construction ============================================ #}\n{%- macro build_system_message() -%}\n {%- if model_identity is not defined %}\n {%- set model_identity = \"You are ChatGPT, a large language model trained by OpenAI.\" %}\n {%- endif %}\n {{- model_identity + \"\n\" }}\n {{- \"Knowledge cutoff: 2024-06\n\" }}\n {{- \"Current date: \" + strftime_now(\"%Y-%m-%d\") + \"\n\n\" }}\n {%- if reasoning_effort is not defined %}\n {%- set reasoning_effort = \"medium\" %}\n {%- endif %}\n {{- \"Reasoning: \" + reasoning_effort + \"\n\n\" }}\n {%- if builtin_tools %}\n {{- \"# Tools\n\n\" }}\n {%- set available_builtin_tools = namespace(browser=false, python=false) %}\n {%- for tool in builtin_tools %}\n {%- if tool == \"browser\" %}\n {%- set available_builtin_tools.browser = true %}\n {%- elif tool == \"python\" %}\n {%- set available_builtin_tools.python = true %}\n {%- endif %}\n {%- endfor %}\n {{- render_builtin_tools(available_builtin_tools.browser, available_builtin_tools.python) }}\n {%- endif -%}\n {{- \"# Valid channels: analysis, commentary, final. Channel must be included for every message.\" }}\n {%- if tools -%}\n {{- \"\nCalls to these tools must go to the commentary channel: 'functions'.\" }}\n {%- endif -%}\n{%- endmacro -%}\n\n{#- Main Template Logic ================================================= #}\n{#- Set defaults #}\n\n{#- Render system message #}\n{{- \"<|start|>system<|message|>\" }}\n{{- build_system_message() }}\n{{- \"<|end|>\" }}\n\n{#- Extract developer message #}\n{%- if messages[0].role == \"developer\" or messages[0].role == \"system\" %}\n {%- set developer_message = messages[0].content %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set developer_message = \"\" %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{#- Render developer message #}\n{%- if developer_message or tools %}\n {{- \"<|start|>developer<|message|>\" }}\n {%- if developer_message %}\n {{- \"# Instructions\n\n\" }}\n {{- developer_message }}\n {%- endif %}\n {%- if tools -%}\n {{- \"\n\n\" }}\n {{- \"# Tools\n\n\" }}\n {{- render_tool_namespace(\"functions\", tools) }}\n {%- endif -%}\n {{- \"<|end|>\" }}\n{%- endif %}\n\n{#- Render messages #}\n{%- set last_tool_call = namespace(name=none) %}\n{%- for message in loop_messages -%}\n {#- At this point only assistant/user/tool messages should remain #}\n {%- if message.role == 'assistant' -%}\n {#- Checks to ensure the messages are being passed in the format we expect #}\n {%- if \"content\" in message %}\n {%- if \"<|channel|>analysis<|message|>\" in message.content or \"<|channel|>final<|message|>\" in message.content %}\n {{- raise_exception(\"You have passed a message containing <|channel|> tags in the content field. Instead of doing this, you should pass analysis messages (the string between '<|message|>' and '<|end|>') in the 'thinking' field, and final messages (the string between '<|message|>' and '<|end|>') in the 'content' field.\") }}\n {%- endif %}\n {%- endif %}\n {%- if \"thinking\" in message %}\n {%- if \"<|channel|>analysis<|message|>\" in message.thinking or \"<|channel|>final<|message|>\" in message.thinking %}\n {{- raise_exception(\"You have passed a message containing <|channel|> tags in the thinking field. Instead of doing this, you should pass analysis messages (the string between '<|message|>' and '<|end|>') in the 'thinking' field, and final messages (the string between '<|message|>' and '<|end|>') in the 'content' field.\") }}\n {%- endif %}\n {%- endif %}\n {%- if \"tool_calls\" in message %}\n {#- We assume max 1 tool call per message, and so we infer the tool call name #}\n {#- in \"tool\" messages from the most recent assistant tool call name #}\n {%- set tool_call = message.tool_calls[0] %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {%- if message.content and message.thinking %}\n {{- raise_exception(\"Cannot pass both content and thinking in an assistant message with tool calls! Put the analysis message in one or the other, but not both.\") }}\n {%- elif message.content %}\n {{- \"<|start|>assistant<|channel|>analysis<|message|>\" + message.content + \"<|end|>\" }}\n {%- elif message.thinking %}\n {{- \"<|start|>assistant<|channel|>analysis<|message|>\" + message.thinking + \"<|end|>\" }}\n {%- endif %}\n {{- \"<|start|>assistant to=\" }}\n {{- \"functions.\" + tool_call.name + \"<|channel|>commentary \" }}\n {{- (tool_call.content_type if tool_call.content_type is defined else \"json\") + \"<|message|>\" }}\n {{- tool_call.arguments|tojson }}\n {{- \"<|call|>\" }}\n {%- set last_tool_call.name = tool_call.name %}\n {%- elif loop.last and not add_generation_prompt %}\n {#- Only render the CoT if the final turn is an assistant turn and add_generation_prompt is false #}\n {#- This is a situation that should only occur in training, never in inference. #}\n {%- if \"thinking\" in message %}\n {{- \"<|start|>assistant<|channel|>analysis<|message|>\" + message.thinking + \"<|end|>\" }}\n {%- endif %}\n {#- <|return|> indicates the end of generation, but <|end|> does not #}\n {#- <|return|> should never be an input to the model, but we include it as the final token #}\n {#- when training, so the model learns to emit it. #}\n {{- \"<|start|>assistant<|channel|>final<|message|>\" + message.content + \"<|return|>\" }}\n {%- else %}\n {#- CoT is dropped during all previous turns, so we never render it for inference #}\n {{- \"<|start|>assistant<|channel|>final<|message|>\" + message.content + \"<|end|>\" }}\n {%- set last_tool_call.name = none %}\n {%- endif %}\n {%- elif message.role == 'tool' -%}\n {%- if last_tool_call.name is none %}\n {{- raise_exception(\"Message has tool role, but there was no previous assistant message with a tool call!\") }}\n {%- endif %}\n {{- \"<|start|>functions.\" + last_tool_call.name }}\n {{- \" to=assistant<|channel|>commentary<|message|>\" + message.content|tojson + \"<|end|>\" }}\n {%- elif message.role == 'user' -%}\n {{- \"<|start|>user<|message|>\" + message.content + \"<|end|>\" }}\n {%- endif -%}\n{%- endfor -%}\n\n{#- Generation prompt #}\n{%- if add_generation_prompt -%}\n<|start|>assistant\n{%- endif -%}" }, "stopStrings": [] } }, { "key": "llm.prediction.llama.cpuThreads", "value": 7 }, { "key": "llm.prediction.contextPrefill", "value": [] }, { "key": "llm.prediction.temperature", "value": 0.8 }, { "key": "llm.prediction.topKSampling", "value": 40 }, { "key": "llm.prediction.topPSampling", "value": { "checked": true, "value": 0.8 } }, { "key": "llm.prediction.repeatPenalty", "value": { "checked": true, "value": 1.1 } }, { "key": "llm.prediction.minPSampling", "value": { "checked": true, "value": 0.05 } }, { "key": "ext.virtualModel.customField.openai.gptOss20b.reasoningEffort", "value": "medium" }, { "key": "llm.prediction.tools", "value": { "type": "toolArray", "tools": [ { "type": "function", "function": { "name": "get_database_schema", "description": "🔍 Discover what data is available in the MIMIC-IV database.\n\n **When to use:** Start here when you need to understand what tables exist, or when someone asks about data that might be in multiple tables.\n\n **What this does:** Shows all available tables so you can identify which ones contain the data you need.\n\n **Next steps after using this:**\n - If you see relevant tables, use `get_table_info(table_name)` to explore their structure\n - Common tables: `patients` (demographics), `admissions` (hospital stays), `icustays` (ICU data), `labevents` (lab results)\n\n Returns:\n List of all available tables in the database with current backend info\n ", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "get_table_info", "description": "📋 Explore a specific table's structure and see sample data.\n\n **When to use:** After you know which table you need (from `get_database_schema()`), use this to understand the columns and data format.\n\n **What this does:**\n - Shows column names, types, and constraints\n - Displays sample rows so you understand the actual data format\n - Helps you write accurate SQL queries\n\n **Pro tip:** Always look at sample data! It shows you the actual values, date formats, and data patterns.\n\n Args:\n table_name: Exact table name from the schema (case-sensitive). Can be simple name or fully qualified BigQuery name.\n show_sample: Whether to include sample rows (default: True, recommended)\n\n Returns:\n Complete table structure with sample data to help you write queries\n ", "parameters": { "type": "object", "properties": { "table_name": { "title": "Table Name", "type": "string" }, "show_sample": { "default": true, "title": "Show Sample", "type": "boolean" } }, "required": [ "table_name" ] } } }, { "type": "function", "function": { "name": "execute_mimic_query", "description": "🚀 Execute SQL queries to analyze MIMIC-IV data.\n\n **💡 Pro tip:** For best results, explore the database structure first!\n\n **Recommended workflow (especially for smaller models):**\n 1. **See available tables:** Use `get_database_schema()` to list all tables\n 2. **Examine table structure:** Use `get_table_info('table_name')` to see columns and sample data\n 3. **Write your SQL query:** Use exact table/column names from exploration\n\n **Why exploration helps:**\n - Table names vary between backends (SQLite vs BigQuery)\n - Column names may be unexpected (e.g., age might be 'anchor_age')\n - Sample data shows actual formats and constraints\n\n Args:\n sql_query: Your SQL SELECT query (must be SELECT only)\n\n Returns:\n Query results or helpful error messages with next steps\n ", "parameters": { "type": "object", "properties": { "sql_query": { "title": "Sql Query", "type": "string" } }, "required": [ "sql_query" ] } } }, { "type": "function", "function": { "name": "get_icu_stays", "description": "🏥 Get ICU stay information and length of stay data.\n\n **⚠️ Note:** This is a convenience function that assumes standard MIMIC-IV table structure.\n **For reliable queries:** Use `get_database_schema()` → `get_table_info()` → `execute_mimic_query()` workflow.\n\n **What you'll get:** Patient IDs, admission times, length of stay, and ICU details.\n\n Args:\n patient_id: Specific patient ID to query (optional)\n limit: Maximum number of records to return (default: 10)\n\n Returns:\n ICU stay data as formatted text or guidance if table not found\n ", "parameters": { "type": "object", "properties": { "patient_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Patient Id" }, "limit": { "default": 10, "title": "Limit", "type": "integer" } } } } }, { "type": "function", "function": { "name": "get_lab_results", "description": "🧪 Get laboratory test results quickly.\n\n **⚠️ Note:** This is a convenience function that assumes standard MIMIC-IV table structure.\n **For reliable queries:** Use `get_database_schema()` → `get_table_info()` → `execute_mimic_query()` workflow.\n\n **What you'll get:** Lab values, timestamps, patient IDs, and test details.\n\n Args:\n patient_id: Specific patient ID to query (optional)\n lab_item: Lab item to search for in the value field (optional)\n limit: Maximum number of records to return (default: 20)\n\n Returns:\n Lab results as formatted text or guidance if table not found\n ", "parameters": { "type": "object", "properties": { "patient_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Patient Id" }, "lab_item": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Lab Item" }, "limit": { "default": 20, "title": "Limit", "type": "integer" } } } } }, { "type": "function", "function": { "name": "get_race_distribution", "description": "📊 Get race distribution from hospital admissions.\n\n **⚠️ Note:** This is a convenience function that assumes standard MIMIC-IV table structure.\n **For reliable queries:** Use `get_database_schema()` → `get_table_info()` → `execute_mimic_query()` workflow.\n\n **What you'll get:** Count of patients by race category, ordered by frequency.\n\n Args:\n limit: Maximum number of race categories to return (default: 10)\n\n Returns:\n Race distribution as formatted text or guidance if table not found\n ", "parameters": { "type": "object", "properties": { "limit": { "default": 10, "title": "Limit", "type": "integer" } } } } } ] } } ] }, "stats": { "stopReason": "eosFound", "tokensPerSecond": 49.11510944483555, "numGpuLayers": -1, "timeToFirstTokenSec": 0.359, "totalTimeSec": 0.978, "promptTokensCount": 1598, "predictedTokensCount": 48, "totalTokensCount": 1646 } } }, { "type": "contentBlock", "stepIdentifier": "1758962831562-0.12052922399714083", "content": [ { "type": "toolCallResult", "callId": 849489520600955, "toolCallRequestId": "638370855", "content": "[{\"type\":\"text\",\"text\":\"🔧 **Current Backend:** SQLite (local database)\\n📁 **Database Path:** /Users/rafraf/Documents/code/MIT/m3/data/databases/mimic_iv.sqlite\\n📋 **Table:** prescriptions\\n\\n**Column Information:**\\n cid name type notnull dflt_value pk\\n 0 row_id INT 1 None 1\\n 1 subject_id INT 1 None 0\\n 2 hadm_id INT 1 None 0\\n 3 starttime TIMESTAMP(0) 1 None 0\\n 4 stoptime TIMESTAMP(0) 0 None 0\\n 5 drug VARCHAR(255) 1 None 0\\n 6 dose_val_rx VARCHAR(100) 1 None 0\\n 7 dose_unit_rx VARCHAR(50) 1 None 0\\n 8 route VARCHAR(50) 1 None 0\\n\\n📊 **Sample Data (first 3 rows):**\\n row_id subject_id hadm_id starttime stoptime drug dose_val_rx dose_unit_rx route\\n 0 10020740 23831430 2100-04-19 11:00:00 2100-04-20 22:00:00 insulin 0.0 unit sc\\n 1 10005817 20626031 2100-12-20 02:00:00 2100-12-21 12:00:00 insulin 0.0 unit sc\\n 2 10005817 20626031 2100-12-27 10:00:00 2100-12-28 19:00:00 insulin 0.0 unit sc\"}]" } ], "roleOverride": "tool", "defaultShouldIncludeInContext": true, "shouldIncludeInContext": true }, { "type": "contentBlock", "stepIdentifier": "1758962832700-0.6151010349267567", "content": [ { "type": "text", "text": "Now we need to filter patients in their 30s since 2100. So date of birth? The patients table likely contains DOB, admission date maybe. Let's inspect patients table.", "fromDraftModel": false, "tokensCount": 37, "isStructural": false } ], "defaultShouldIncludeInContext": true, "shouldIncludeInContext": true, "style": { "type": "thinking", "ended": true, "title": "Thought for a brief moment" }, "prefix": "<|channel|>analysis<|message|>", "suffix": "<|end|>" }, { "type": "toolStatus", "stepIdentifier": "1758962833376-0.31834701742722926", "callId": 849489520600956, "statusState": { "status": { "type": "toolCallSucceeded", "timeMs": 11 }, "customStatus": "", "customWarnings": [] } }, { "type": "contentBlock", "stepIdentifier": "1758962833776-0.3251498453803946", "content": [ { "type": "toolCallRequest", "callId": 849489520600956, "toolCallRequestId": "642628044", "name": "get_table_info", "parameters": { "table_name": "patients", "show_sample": true }, "pluginIdentifier": "mcp/m3" } ], "defaultShouldIncludeInContext": true, "shouldIncludeInContext": true, "genInfo": { "indexedModelIdentifier": "openai/gpt-oss-20b", "identifier": "openai/gpt-oss-20b", "loadModelConfig": { "fields": [ { "key": "llm.load.llama.cpuThreadPoolSize", "value": 7 }, { "key": "llm.load.contextLength", "value": 32000 }, { "key": "llm.load.numExperts", "value": 4 }, { "key": "llm.load.llama.acceleration.offloadRatio", "value": 1 } ] }, "predictionConfig": { "fields": [ { "key": "llm.prediction.promptTemplate", "value": { "type": "jinja", "jinjaPromptTemplate": { "template": "{#-\n In addition to the normal inputs of `messages` and `tools`, this template also accepts the\n following kwargs:\n - \"builtin_tools\": A list, can contain \"browser\" and/or \"python\".\n - \"model_identity\": A string that optionally describes the model identity.\n - \"reasoning_effort\": A string that describes the reasoning effort, defaults to \"medium\".\n #}\n\n{#- Tool Definition Rendering ============================================== #}\n{%- macro render_typescript_type(param_spec, required_params, is_nullable=false) -%}\n {%- if param_spec.type == \"array\" -%}\n {%- if param_spec['items'] -%}\n {%- if param_spec['items']['type'] == \"string\" -%}\n {{- \"string[]\" }}\n {%- elif param_spec['items']['type'] == \"number\" -%}\n {{- \"number[]\" }}\n {%- elif param_spec['items']['type'] == \"integer\" -%}\n {{- \"number[]\" }}\n {%- elif param_spec['items']['type'] == \"boolean\" -%}\n {{- \"boolean[]\" }}\n {%- else -%}\n {%- set inner_type = render_typescript_type(param_spec['items'], required_params) -%}\n {%- if inner_type == \"object | object\" or inner_type|length > 50 -%}\n {{- \"any[]\" }}\n {%- else -%}\n {{- inner_type + \"[]\" }}\n {%- endif -%}\n {%- endif -%}\n {%- if param_spec.nullable -%}\n {{- \" | null\" }}\n {%- endif -%}\n {%- else -%}\n {{- \"any[]\" }}\n {%- if param_spec.nullable -%}\n {{- \" | null\" }}\n {%- endif -%}\n {%- endif -%}\n {%- elif param_spec.type is defined and param_spec.type is iterable and param_spec.type is not string and param_spec.type is not mapping and param_spec.type[0] is defined -%}\n {#- Handle array of types like [\"object\", \"object\"] from Union[dict, list] #}\n {%- if param_spec.type | length > 1 -%}\n {{- param_spec.type | join(\" | \") }}\n {%- else -%}\n {{- param_spec.type[0] }}\n {%- endif -%}\n {%- elif param_spec.oneOf -%}\n {#- Handle oneOf schemas - check for complex unions and fallback to any #}\n {%- set has_object_variants = false -%}\n {%- for variant in param_spec.oneOf -%}\n {%- if variant.type == \"object\" -%}\n {%- set has_object_variants = true -%}\n {%- endif -%}\n {%- endfor -%}\n {%- if has_object_variants and param_spec.oneOf|length > 1 -%}\n {{- \"any\" }}\n {%- else -%}\n {%- for variant in param_spec.oneOf -%}\n {{- render_typescript_type(variant, required_params) -}}\n {%- if variant.description %}\n {{- \"// \" + variant.description }}\n {%- endif -%}\n {%- if variant.default is defined %}\n {{ \"// default: \" + variant.default|tojson }}\n {%- endif -%}\n {%- if not loop.last %}\n {{- \" | \" }}\n {% endif -%}\n {%- endfor -%}\n {%- endif -%}\n {%- elif param_spec.type == \"string\" -%}\n {%- if param_spec.enum -%}\n {{- '\"' + param_spec.enum|join('\" | \"') + '\"' -}}\n {%- else -%}\n {{- \"string\" }}\n {%- if param_spec.nullable %}\n {{- \" | null\" }}\n {%- endif -%}\n {%- endif -%}\n {%- elif param_spec.type == \"number\" -%}\n {{- \"number\" }}\n {%- elif param_spec.type == \"integer\" -%}\n {{- \"number\" }}\n {%- elif param_spec.type == \"boolean\" -%}\n {{- \"boolean\" }}\n\n {%- elif param_spec.type == \"object\" -%}\n {%- if param_spec.properties -%}\n {{- \"{\n\" }}\n {%- for prop_name, prop_spec in param_spec.properties.items() -%}\n {{- prop_name -}}\n {%- if prop_name not in (param_spec.required or []) -%}\n {{- \"?\" }}\n {%- endif -%}\n {{- \": \" }}\n {{ render_typescript_type(prop_spec, param_spec.required or []) }}\n {%- if not loop.last -%}\n {{-\", \" }}\n {%- endif -%}\n {%- endfor -%}\n {{- \"}\" }}\n {%- else -%}\n {{- \"object\" }}\n {%- endif -%}\n {%- else -%}\n {{- \"any\" }}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro render_tool_namespace(namespace_name, tools) -%}\n {{- \"## \" + namespace_name + \"\n\n\" }}\n {{- \"namespace \" + namespace_name + \" {\n\n\" }}\n {%- for tool in tools %}\n {%- set tool = tool.function %}\n {{- \"// \" + tool.description + \"\n\" }}\n {{- \"type \"+ tool.name + \" = \" }}\n {%- if tool.parameters and tool.parameters.properties %}\n {{- \"(_: {\n\" }}\n {%- for param_name, param_spec in tool.parameters.properties.items() %}\n {%- if param_spec.description %}\n {{- \"// \" + param_spec.description + \"\n\" }}\n {%- endif %}\n {{- param_name }}\n {%- if param_name not in (tool.parameters.required or []) -%}\n {{- \"?\" }}\n {%- endif -%}\n {{- \": \" }}\n {{- render_typescript_type(param_spec, tool.parameters.required or []) }}\n {%- if param_spec.default is defined -%}\n {%- if param_spec.enum %}\n {{- \", // default: \" + param_spec.default }}\n {%- elif param_spec.oneOf %}\n {{- \"// default: \" + param_spec.default }}\n {%- else %}\n {{- \", // default: \" + param_spec.default|tojson }}\n {%- endif -%}\n {%- endif -%}\n {%- if not loop.last %}\n {{- \",\n\" }}\n {%- else %}\n {{- \"\n\" }}\n {%- endif -%}\n {%- endfor %}\n {{- \"}) => any;\n\n\" }}\n {%- else -%}\n {{- \"() => any;\n\n\" }}\n {%- endif -%}\n {%- endfor %}\n {{- \"} // namespace \" + namespace_name }}\n{%- endmacro -%}\n\n{%- macro render_builtin_tools(browser_tool, python_tool) -%}\n {%- if browser_tool %}\n {{- \"## browser\n\n\" }}\n {{- \"// Tool for browsing.\n\" }}\n {{- \"// The `cursor` appears in brackets before each browsing display: `[{cursor}]`.\n\" }}\n {{- \"// Cite information from the tool using the following format:\n\" }}\n {{- \"// `【{cursor}†L{line_start}(-L{line_end})?】`, for example: `【6†L9-L11】` or `【8†L3】`.\n\" }}\n {{- \"// Do not quote more than 10 words directly from the tool output.\n\" }}\n {{- \"// sources=web (default: web)\n\" }}\n {{- \"namespace browser {\n\n\" }}\n {{- \"// Searches for information related to `query` and displays `topn` results.\n\" }}\n {{- \"type search = (_: {\n\" }}\n {{- \"query: string,\n\" }}\n {{- \"topn?: number, // default: 10\n\" }}\n {{- \"source?: string,\n\" }}\n {{- \"}) => any;\n\n\" }}\n {{- \"// Opens the link `id` from the page indicated by `cursor` starting at line number `loc`, showing `num_lines` lines.\n\" }}\n {{- \"// Valid link ids are displayed with the formatting: `【{id}†.*】`.\n\" }}\n {{- \"// If `cursor` is not provided, the most recent page is implied.\n\" }}\n {{- \"// If `id` is a string, it is treated as a fully qualified URL associated with `source`.\n\" }}\n {{- \"// If `loc` is not provided, the viewport will be positioned at the beginning of the document or centered on the most relevant passage, if available.\n\" }}\n {{- \"// Use this function without `id` to scroll to a new location of an opened page.\n\" }}\n {{- \"type open = (_: {\n\" }}\n {{- \"id?: number | string, // default: -1\n\" }}\n {{- \"cursor?: number, // default: -1\n\" }}\n {{- \"loc?: number, // default: -1\n\" }}\n {{- \"num_lines?: number, // default: -1\n\" }}\n {{- \"view_source?: boolean, // default: false\n\" }}\n {{- \"source?: string,\n\" }}\n {{- \"}) => any;\n\n\" }}\n {{- \"// Finds exact matches of `pattern` in the current page, or the page given by `cursor`.\n\" }}\n {{- \"type find = (_: {\n\" }}\n {{- \"pattern: string,\n\" }}\n {{- \"cursor?: number, // default: -1\n\" }}\n {{- \"}) => any;\n\n\" }}\n {{- \"} // namespace browser\n\n\" }}\n {%- endif -%}\n\n {%- if python_tool %}\n {{- \"## python\n\n\" }}\n {{- \"Use this tool to execute Python code in your chain of thought. The code will not be shown to the user. This tool should be used for internal reasoning, but not for code that is intended to be visible to the user (e.g. when creating plots, tables, or files).\n\n\" }}\n {{- \"When you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment. python will respond with the output of the execution or time out after 120.0 seconds. The drive at '/mnt/data' can be used to save and persist user files. Internet access for this session is UNKNOWN. Depends on the cluster.\n\n\" }}\n {%- endif -%}\n{%- endmacro -%}\n\n{#- System Message Construction ============================================ #}\n{%- macro build_system_message() -%}\n {%- if model_identity is not defined %}\n {%- set model_identity = \"You are ChatGPT, a large language model trained by OpenAI.\" %}\n {%- endif %}\n {{- model_identity + \"\n\" }}\n {{- \"Knowledge cutoff: 2024-06\n\" }}\n {{- \"Current date: \" + strftime_now(\"%Y-%m-%d\") + \"\n\n\" }}\n {%- if reasoning_effort is not defined %}\n {%- set reasoning_effort = \"medium\" %}\n {%- endif %}\n {{- \"Reasoning: \" + reasoning_effort + \"\n\n\" }}\n {%- if builtin_tools %}\n {{- \"# Tools\n\n\" }}\n {%- set available_builtin_tools = namespace(browser=false, python=false) %}\n {%- for tool in builtin_tools %}\n {%- if tool == \"browser\" %}\n {%- set available_builtin_tools.browser = true %}\n {%- elif tool == \"python\" %}\n {%- set available_builtin_tools.python = true %}\n {%- endif %}\n {%- endfor %}\n {{- render_builtin_tools(available_builtin_tools.browser, available_builtin_tools.python) }}\n {%- endif -%}\n {{- \"# Valid channels: analysis, commentary, final. Channel must be included for every message.\" }}\n {%- if tools -%}\n {{- \"\nCalls to these tools must go to the commentary channel: 'functions'.\" }}\n {%- endif -%}\n{%- endmacro -%}\n\n{#- Main Template Logic ================================================= #}\n{#- Set defaults #}\n\n{#- Render system message #}\n{{- \"<|start|>system<|message|>\" }}\n{{- build_system_message() }}\n{{- \"<|end|>\" }}\n\n{#- Extract developer message #}\n{%- if messages[0].role == \"developer\" or messages[0].role == \"system\" %}\n {%- set developer_message = messages[0].content %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set developer_message = \"\" %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{#- Render developer message #}\n{%- if developer_message or tools %}\n {{- \"<|start|>developer<|message|>\" }}\n {%- if developer_message %}\n {{- \"# Instructions\n\n\" }}\n {{- developer_message }}\n {%- endif %}\n {%- if tools -%}\n {{- \"\n\n\" }}\n {{- \"# Tools\n\n\" }}\n {{- render_tool_namespace(\"functions\", tools) }}\n {%- endif -%}\n {{- \"<|end|>\" }}\n{%- endif %}\n\n{#- Render messages #}\n{%- set last_tool_call = namespace(name=none) %}\n{%- for message in loop_messages -%}\n {#- At this point only assistant/user/tool messages should remain #}\n {%- if message.role == 'assistant' -%}\n {#- Checks to ensure the messages are being passed in the format we expect #}\n {%- if \"content\" in message %}\n {%- if \"<|channel|>analysis<|message|>\" in message.content or \"<|channel|>final<|message|>\" in message.content %}\n {{- raise_exception(\"You have passed a message containing <|channel|> tags in the content field. Instead of doing this, you should pass analysis messages (the string between '<|message|>' and '<|end|>') in the 'thinking' field, and final messages (the string between '<|message|>' and '<|end|>') in the 'content' field.\") }}\n {%- endif %}\n {%- endif %}\n {%- if \"thinking\" in message %}\n {%- if \"<|channel|>analysis<|message|>\" in message.thinking or \"<|channel|>final<|message|>\" in message.thinking %}\n {{- raise_exception(\"You have passed a message containing <|channel|> tags in the thinking field. Instead of doing this, you should pass analysis messages (the string between '<|message|>' and '<|end|>') in the 'thinking' field, and final messages (the string between '<|message|>' and '<|end|>') in the 'content' field.\") }}\n {%- endif %}\n {%- endif %}\n {%- if \"tool_calls\" in message %}\n {#- We assume max 1 tool call per message, and so we infer the tool call name #}\n {#- in \"tool\" messages from the most recent assistant tool call name #}\n {%- set tool_call = message.tool_calls[0] %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {%- if message.content and message.thinking %}\n {{- raise_exception(\"Cannot pass both content and thinking in an assistant message with tool calls! Put the analysis message in one or the other, but not both.\") }}\n {%- elif message.content %}\n {{- \"<|start|>assistant<|channel|>analysis<|message|>\" + message.content + \"<|end|>\" }}\n {%- elif message.thinking %}\n {{- \"<|start|>assistant<|channel|>analysis<|message|>\" + message.thinking + \"<|end|>\" }}\n {%- endif %}\n {{- \"<|start|>assistant to=\" }}\n {{- \"functions.\" + tool_call.name + \"<|channel|>commentary \" }}\n {{- (tool_call.content_type if tool_call.content_type is defined else \"json\") + \"<|message|>\" }}\n {{- tool_call.arguments|tojson }}\n {{- \"<|call|>\" }}\n {%- set last_tool_call.name = tool_call.name %}\n {%- elif loop.last and not add_generation_prompt %}\n {#- Only render the CoT if the final turn is an assistant turn and add_generation_prompt is false #}\n {#- This is a situation that should only occur in training, never in inference. #}\n {%- if \"thinking\" in message %}\n {{- \"<|start|>assistant<|channel|>analysis<|message|>\" + message.thinking + \"<|end|>\" }}\n {%- endif %}\n {#- <|return|> indicates the end of generation, but <|end|> does not #}\n {#- <|return|> should never be an input to the model, but we include it as the final token #}\n {#- when training, so the model learns to emit it. #}\n {{- \"<|start|>assistant<|channel|>final<|message|>\" + message.content + \"<|return|>\" }}\n {%- else %}\n {#- CoT is dropped during all previous turns, so we never render it for inference #}\n {{- \"<|start|>assistant<|channel|>final<|message|>\" + message.content + \"<|end|>\" }}\n {%- set last_tool_call.name = none %}\n {%- endif %}\n {%- elif message.role == 'tool' -%}\n {%- if last_tool_call.name is none %}\n {{- raise_exception(\"Message has tool role, but there was no previous assistant message with a tool call!\") }}\n {%- endif %}\n {{- \"<|start|>functions.\" + last_tool_call.name }}\n {{- \" to=assistant<|channel|>commentary<|message|>\" + message.content|tojson + \"<|end|>\" }}\n {%- elif message.role == 'user' -%}\n {{- \"<|start|>user<|message|>\" + message.content + \"<|end|>\" }}\n {%- endif -%}\n{%- endfor -%}\n\n{#- Generation prompt #}\n{%- if add_generation_prompt -%}\n<|start|>assistant\n{%- endif -%}" }, "stopStrings": [] } }, { "key": "llm.prediction.llama.cpuThreads", "value": 7 }, { "key": "llm.prediction.contextPrefill", "value": [] }, { "key": "llm.prediction.temperature", "value": 0.8 }, { "key": "llm.prediction.topKSampling", "value": 40 }, { "key": "llm.prediction.topPSampling", "value": { "checked": true, "value": 0.8 } }, { "key": "llm.prediction.repeatPenalty", "value": { "checked": true, "value": 1.1 } }, { "key": "llm.prediction.minPSampling", "value": { "checked": true, "value": 0.05 } }, { "key": "ext.virtualModel.customField.openai.gptOss20b.reasoningEffort", "value": "medium" }, { "key": "llm.prediction.tools", "value": { "type": "toolArray", "tools": [ { "type": "function", "function": { "name": "get_database_schema", "description": "🔍 Discover what data is available in the MIMIC-IV database.\n\n **When to use:** Start here when you need to understand what tables exist, or when someone asks about data that might be in multiple tables.\n\n **What this does:** Shows all available tables so you can identify which ones contain the data you need.\n\n **Next steps after using this:**\n - If you see relevant tables, use `get_table_info(table_name)` to explore their structure\n - Common tables: `patients` (demographics), `admissions` (hospital stays), `icustays` (ICU data), `labevents` (lab results)\n\n Returns:\n List of all available tables in the database with current backend info\n ", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "get_table_info", "description": "📋 Explore a specific table's structure and see sample data.\n\n **When to use:** After you know which table you need (from `get_database_schema()`), use this to understand the columns and data format.\n\n **What this does:**\n - Shows column names, types, and constraints\n - Displays sample rows so you understand the actual data format\n - Helps you write accurate SQL queries\n\n **Pro tip:** Always look at sample data! It shows you the actual values, date formats, and data patterns.\n\n Args:\n table_name: Exact table name from the schema (case-sensitive). Can be simple name or fully qualified BigQuery name.\n show_sample: Whether to include sample rows (default: True, recommended)\n\n Returns:\n Complete table structure with sample data to help you write queries\n ", "parameters": { "type": "object", "properties": { "table_name": { "title": "Table Name", "type": "string" }, "show_sample": { "default": true, "title": "Show Sample", "type": "boolean" } }, "required": [ "table_name" ] } } }, { "type": "function", "function": { "name": "execute_mimic_query", "description": "🚀 Execute SQL queries to analyze MIMIC-IV data.\n\n **💡 Pro tip:** For best results, explore the database structure first!\n\n **Recommended workflow (especially for smaller models):**\n 1. **See available tables:** Use `get_database_schema()` to list all tables\n 2. **Examine table structure:** Use `get_table_info('table_name')` to see columns and sample data\n 3. **Write your SQL query:** Use exact table/column names from exploration\n\n **Why exploration helps:**\n - Table names vary between backends (SQLite vs BigQuery)\n - Column names may be unexpected (e.g., age might be 'anchor_age')\n - Sample data shows actual formats and constraints\n\n Args:\n sql_query: Your SQL SELECT query (must be SELECT only)\n\n Returns:\n Query results or helpful error messages with next steps\n ", "parameters": { "type": "object", "properties": { "sql_query": { "title": "Sql Query", "type": "string" } }, "required": [ "sql_query" ] } } }, { "type": "function", "function": { "name": "get_icu_stays", "description": "🏥 Get ICU stay information and length of stay data.\n\n **⚠️ Note:** This is a convenience function that assumes standard MIMIC-IV table structure.\n **For reliable queries:** Use `get_database_schema()` → `get_table_info()` → `execute_mimic_query()` workflow.\n\n **What you'll get:** Patient IDs, admission times, length of stay, and ICU details.\n\n Args:\n patient_id: Specific patient ID to query (optional)\n limit: Maximum number of records to return (default: 10)\n\n Returns:\n ICU stay data as formatted text or guidance if table not found\n ", "parameters": { "type": "object", "properties": { "patient_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Patient Id" }, "limit": { "default": 10, "title": "Limit", "type": "integer" } } } } }, { "type": "function", "function": { "name": "get_lab_results", "description": "🧪 Get laboratory test results quickly.\n\n **⚠️ Note:** This is a convenience function that assumes standard MIMIC-IV table structure.\n **For reliable queries:** Use `get_database_schema()` → `get_table_info()` → `execute_mimic_query()` workflow.\n\n **What you'll get:** Lab values, timestamps, patient IDs, and test details.\n\n Args:\n patient_id: Specific patient ID to query (optional)\n lab_item: Lab item to search for in the value field (optional)\n limit: Maximum number of records to return (default: 20)\n\n Returns:\n Lab results as formatted text or guidance if table not found\n ", "parameters": { "type": "object", "properties": { "patient_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Patient Id" }, "lab_item": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Lab Item" }, "limit": { "default": 20, "title": "Limit", "type": "integer" } } } } }, { "type": "function", "function": { "name": "get_race_distribution", "description": "📊 Get race distribution from hospital admissions.\n\n **⚠️ Note:** This is a convenience function that assumes standard MIMIC-IV table structure.\n **For reliable queries:** Use `get_database_schema()` → `get_table_info()` → `execute_mimic_query()` workflow.\n\n **What you'll get:** Count of patients by race category, ordered by frequency.\n\n Args:\n limit: Maximum number of race categories to return (default: 10)\n\n Returns:\n Race distribution as formatted text or guidance if table not found\n ", "parameters": { "type": "object", "properties": { "limit": { "default": 10, "title": "Limit", "type": "integer" } } } } } ] } } ] }, "stats": { "stopReason": "eosFound", "tokensPerSecond": 44.822799417972604, "numGpuLayers": -1, "timeToFirstTokenSec": 0.692, "totalTimeSec": 1.495, "promptTokensCount": 2091, "predictedTokensCount": 67, "totalTokensCount": 2158 } } }, { "type": "contentBlock", "stepIdentifier": "1758962833788-0.847410184647594", "content": [ { "type": "toolCallResult", "callId": 849489520600956, "toolCallRequestId": "642628044", "content": "[{\"type\":\"text\",\"text\":\"🔧 **Current Backend:** SQLite (local database)\\n📁 **Database Path:** /Users/rafraf/Documents/code/MIT/m3/data/databases/mimic_iv.sqlite\\n📋 **Table:** patients\\n\\n**Column Information:**\\n cid name type notnull dflt_value pk\\n 0 row_id INT 1 None 1\\n 1 subject_id INT 1 None 0\\n 2 gender VARCHAR(5) 1 None 0\\n 3 dob TIMESTAMP(0) 1 None 0\\n 4 dod TIMESTAMP(0) 0 None 0\\n\\n📊 **Sample Data (first 3 rows):**\\n row_id subject_id gender dob dod\\n 0 10014729 f 2079-07-22 00:00:00 None\\n 1 10003400 f 2028-07-25 00:00:00 None\\n 2 10002428 f 2020-07-30 00:00:00 None\"}]" } ], "roleOverride": "tool", "defaultShouldIncludeInContext": true, "shouldIncludeInContext": true }, { "type": "contentBlock", "stepIdentifier": "1758962834683-0.9357642402694748", "content": [ { "type": "text", "text": "DOB is in future? It shows dates like 2079 etc. That's weird because dataset might have years offset? But for our query, we need patients in their 30s since 2100. So we want patients who were age 30-39 during the year 2100 and beyond? The prescriptions start times show 2100-04-19 etc. So maybe the dates are offset by some years. But we can just compute age as difference between starttime (or admission date) and dob.\n\nWe need to find top three prescribed drugs among patients in their 30s since 2100. That means for each prescription event after year 2100, we filter patient age at that time to be between 30 and 39 inclusive. Then count drug frequency and pick top three.\n\nSo we need join prescriptions with patients on subject_id, then compute age = date difference. Use SQLite date functions: julianday(date)/365.25 maybe. But easier: use strftime to get year difference.\n\nWe can compute age at prescription starttime:\n\nSELECT CAST((strftime('%Y', pres.starttime) - strftime('%Y', pat.dob)) AS INTEGER) as age\n\nBut that approximates ignoring month/day; okay.\n\nThen filter age between 30 and 39, and starttime >= '2100-01-01'.\n\nCount drug frequency: GROUP BY drug ORDER BY count DESC LIMIT 3.\n\nWe need to join. Let's write query:\n\nSELECT pres.drug,\n COUNT(*) AS cnt\nFROM prescriptions pres\nJOIN patients pat ON pres.subject_id = pat.subject_id\nWHERE date(pres.starttime) >= '2100-01-01'\n AND (strftime('%Y', pres.starttime) - strftime('%Y', pat.dob)) BETWEEN 30 AND 39\nGROUP BY pres.drug\nORDER BY cnt DESC\nLIMIT 3;\n\nBut we need to ensure correct date format. In sample, starttime is '2100-04-19 11:00:00' which SQLite can parse. So date(pres.starttime) >= '2100-01-01'.\n\nAlso compute age: strftime('%Y', pres.starttime) - strftime('%Y', pat.dob). But DOB might be like '2079-07-22'. The year difference gives 21? Wait 2100-2079=21. So patient would be 21 at that time, not in 30s. But dataset may have offset years such that 2079 is actual 1979 maybe? Actually MIMIC IV uses years as offset by +2000 for some reason? No, typical MIMIC uses real dates like 2008-01-01 etc. Here we see '2100' which might be a placeholder. But let's not worry.\n\nLet's run query.", "fromDraftModel": false, "tokensCount": 578, "isStructural": false } ], "defaultShouldIncludeInContext": true, "shouldIncludeInContext": true, "style": { "type": "thinking", "ended": true, "title": "Thought for 14.07 seconds" }, "prefix": "<|channel|>analysis<|message|>", "suffix": "<|end|>" }, { "type": "toolStatus", "stepIdentifier": "1758962848988-0.876035239331538", "callId": 849489520600957, "statusState": { "status": { "type": "toolCallSucceeded", "timeMs": 32 }, "customStatus": "", "customWarnings": [] } }, { "type": "contentBlock", "stepIdentifier": "1758962851665-0.9704418333305826", "content": [ { "type": "toolCallRequest", "callId": 849489520600957, "toolCallRequestId": "297819680", "name": "execute_mimic_query", "parameters": { "sql_query": "SELECT pres.drug,\n COUNT(*) AS cnt\nFROM prescriptions pres\nJOIN patients pat ON pres.subject_id = pat.subject_id\nWHERE date(pres.starttime) >= '2100-01-01'\n AND (strftime('%Y', 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\"reasoning_effort\": A string that describes the reasoning effort, defaults to \"medium\".\n #}\n\n{#- Tool Definition Rendering ============================================== #}\n{%- macro render_typescript_type(param_spec, required_params, is_nullable=false) -%}\n {%- if param_spec.type == \"array\" -%}\n {%- if param_spec['items'] -%}\n {%- if param_spec['items']['type'] == \"string\" -%}\n {{- \"string[]\" }}\n {%- elif param_spec['items']['type'] == \"number\" -%}\n {{- \"number[]\" }}\n {%- elif param_spec['items']['type'] == \"integer\" -%}\n {{- \"number[]\" }}\n {%- elif param_spec['items']['type'] == \"boolean\" -%}\n {{- \"boolean[]\" }}\n {%- else -%}\n {%- set inner_type = render_typescript_type(param_spec['items'], required_params) -%}\n {%- if inner_type == \"object | object\" or inner_type|length > 50 -%}\n {{- \"any[]\" }}\n {%- else -%}\n {{- inner_type + \"[]\" }}\n {%- endif -%}\n {%- endif -%}\n {%- if param_spec.nullable -%}\n {{- \" | null\" }}\n {%- endif -%}\n {%- else -%}\n {{- \"any[]\" }}\n {%- if param_spec.nullable -%}\n {{- \" | null\" }}\n {%- endif -%}\n {%- endif -%}\n {%- elif param_spec.type is defined and param_spec.type is iterable and param_spec.type is not string and param_spec.type is not mapping and param_spec.type[0] is defined -%}\n {#- Handle array of types like [\"object\", \"object\"] from Union[dict, list] #}\n {%- if param_spec.type | length > 1 -%}\n {{- param_spec.type | join(\" | \") }}\n {%- else -%}\n {{- param_spec.type[0] }}\n {%- endif -%}\n {%- elif param_spec.oneOf -%}\n {#- Handle oneOf schemas - check for complex unions and fallback to any #}\n {%- set has_object_variants = false -%}\n {%- for variant in param_spec.oneOf -%}\n {%- if variant.type == \"object\" -%}\n {%- set has_object_variants = true -%}\n {%- endif -%}\n {%- endfor -%}\n {%- if has_object_variants and param_spec.oneOf|length > 1 -%}\n {{- \"any\" }}\n {%- else -%}\n {%- for variant in param_spec.oneOf -%}\n {{- render_typescript_type(variant, required_params) -}}\n {%- if variant.description %}\n {{- \"// \" + variant.description }}\n {%- endif -%}\n {%- if variant.default is defined %}\n {{ \"// default: \" + variant.default|tojson }}\n {%- endif -%}\n {%- if not loop.last %}\n {{- \" | \" }}\n {% endif -%}\n {%- endfor -%}\n {%- endif -%}\n {%- elif param_spec.type == \"string\" -%}\n {%- if param_spec.enum -%}\n {{- '\"' + param_spec.enum|join('\" | \"') + '\"' -}}\n {%- else -%}\n {{- \"string\" }}\n {%- if param_spec.nullable %}\n {{- \" | null\" }}\n {%- endif -%}\n {%- endif -%}\n {%- elif param_spec.type == \"number\" -%}\n {{- \"number\" }}\n {%- elif param_spec.type == \"integer\" -%}\n {{- \"number\" }}\n {%- elif param_spec.type == \"boolean\" -%}\n {{- \"boolean\" }}\n\n {%- elif param_spec.type == \"object\" -%}\n {%- if param_spec.properties -%}\n {{- \"{\n\" }}\n {%- for prop_name, prop_spec in param_spec.properties.items() -%}\n {{- prop_name -}}\n {%- if prop_name not in (param_spec.required or []) -%}\n {{- \"?\" }}\n {%- endif -%}\n {{- \": \" }}\n {{ render_typescript_type(prop_spec, param_spec.required or []) }}\n {%- if not loop.last -%}\n {{-\", \" }}\n {%- endif -%}\n {%- endfor -%}\n {{- \"}\" }}\n {%- else -%}\n {{- \"object\" }}\n {%- endif -%}\n {%- else -%}\n {{- \"any\" }}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro render_tool_namespace(namespace_name, tools) -%}\n {{- \"## \" + namespace_name + \"\n\n\" }}\n {{- \"namespace \" + namespace_name + \" {\n\n\" }}\n {%- for tool in tools %}\n {%- set tool = tool.function %}\n {{- \"// \" + tool.description + \"\n\" }}\n {{- \"type \"+ tool.name + \" = \" }}\n {%- if tool.parameters and tool.parameters.properties %}\n {{- \"(_: {\n\" }}\n {%- for param_name, param_spec in tool.parameters.properties.items() %}\n {%- if param_spec.description %}\n {{- \"// \" + param_spec.description + \"\n\" }}\n {%- endif %}\n {{- param_name }}\n {%- if param_name not in (tool.parameters.required or []) -%}\n {{- \"?\" }}\n {%- endif -%}\n {{- \": \" }}\n {{- render_typescript_type(param_spec, tool.parameters.required or []) }}\n {%- if param_spec.default is defined -%}\n {%- if param_spec.enum %}\n {{- \", // default: \" + param_spec.default }}\n {%- elif param_spec.oneOf %}\n {{- \"// default: \" + param_spec.default }}\n {%- else %}\n {{- \", // default: \" + param_spec.default|tojson }}\n {%- endif -%}\n {%- endif -%}\n {%- if not loop.last %}\n {{- \",\n\" }}\n {%- else %}\n {{- \"\n\" }}\n {%- endif -%}\n {%- endfor %}\n {{- \"}) => any;\n\n\" }}\n {%- else -%}\n {{- \"() => any;\n\n\" }}\n {%- endif -%}\n {%- endfor %}\n {{- \"} // namespace \" + namespace_name }}\n{%- endmacro -%}\n\n{%- macro render_builtin_tools(browser_tool, python_tool) -%}\n {%- if browser_tool %}\n {{- \"## browser\n\n\" }}\n {{- \"// Tool for browsing.\n\" }}\n {{- \"// The `cursor` appears in brackets before each browsing display: `[{cursor}]`.\n\" }}\n {{- \"// Cite information from the tool using the following format:\n\" }}\n {{- \"// `【{cursor}†L{line_start}(-L{line_end})?】`, for example: `【6†L9-L11】` or `【8†L3】`.\n\" }}\n {{- \"// Do not quote more than 10 words directly from the tool output.\n\" }}\n {{- \"// sources=web (default: web)\n\" }}\n {{- \"namespace browser {\n\n\" }}\n {{- \"// Searches for information related to `query` and displays `topn` results.\n\" }}\n {{- \"type search = (_: {\n\" }}\n {{- \"query: string,\n\" }}\n {{- \"topn?: number, // default: 10\n\" }}\n {{- \"source?: string,\n\" }}\n {{- \"}) => any;\n\n\" }}\n {{- \"// Opens the link `id` from the page indicated by `cursor` starting at line number `loc`, showing `num_lines` lines.\n\" }}\n {{- \"// Valid link ids are displayed with the formatting: `【{id}†.*】`.\n\" }}\n {{- \"// If `cursor` is not provided, the most recent page is implied.\n\" }}\n {{- \"// If `id` is a string, it is treated as a fully qualified URL associated with `source`.\n\" }}\n {{- \"// If `loc` is not provided, the viewport will be positioned at the beginning of the document or centered on the most relevant passage, if available.\n\" }}\n {{- \"// Use this function without `id` to scroll to a new location of an opened page.\n\" }}\n {{- \"type open = (_: {\n\" }}\n {{- \"id?: number | string, // default: -1\n\" }}\n {{- \"cursor?: number, // default: -1\n\" }}\n {{- \"loc?: number, // default: -1\n\" }}\n {{- \"num_lines?: number, // default: -1\n\" }}\n {{- \"view_source?: boolean, // default: false\n\" }}\n {{- \"source?: string,\n\" }}\n {{- \"}) => any;\n\n\" }}\n {{- \"// Finds exact matches of `pattern` in the current page, or the page given by `cursor`.\n\" }}\n {{- \"type find = (_: {\n\" }}\n {{- \"pattern: string,\n\" }}\n {{- \"cursor?: number, // default: -1\n\" }}\n {{- \"}) => any;\n\n\" }}\n {{- \"} // namespace browser\n\n\" }}\n {%- endif -%}\n\n {%- if python_tool %}\n {{- \"## python\n\n\" }}\n {{- \"Use this tool to execute Python code in your chain of thought. The code will not be shown to the user. This tool should be used for internal reasoning, but not for code that is intended to be visible to the user (e.g. when creating plots, tables, or files).\n\n\" }}\n {{- \"When you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment. python will respond with the output of the execution or time out after 120.0 seconds. The drive at '/mnt/data' can be used to save and persist user files. Internet access for this session is UNKNOWN. Depends on the cluster.\n\n\" }}\n {%- endif -%}\n{%- endmacro -%}\n\n{#- System Message Construction ============================================ #}\n{%- macro build_system_message() -%}\n {%- if model_identity is not defined %}\n {%- set model_identity = \"You are ChatGPT, a large language model trained by OpenAI.\" %}\n {%- endif %}\n {{- model_identity + \"\n\" }}\n {{- \"Knowledge cutoff: 2024-06\n\" }}\n {{- \"Current date: \" + strftime_now(\"%Y-%m-%d\") + \"\n\n\" }}\n {%- if reasoning_effort is not defined %}\n {%- set reasoning_effort = \"medium\" %}\n {%- endif %}\n {{- \"Reasoning: \" + reasoning_effort + \"\n\n\" }}\n {%- if builtin_tools %}\n {{- \"# Tools\n\n\" }}\n {%- set available_builtin_tools = namespace(browser=false, python=false) %}\n {%- for tool in builtin_tools %}\n {%- if tool == \"browser\" %}\n {%- set available_builtin_tools.browser = true %}\n {%- elif tool == \"python\" %}\n {%- set available_builtin_tools.python = true %}\n {%- endif %}\n {%- endfor %}\n {{- render_builtin_tools(available_builtin_tools.browser, available_builtin_tools.python) }}\n {%- endif -%}\n {{- \"# Valid channels: analysis, commentary, final. Channel must be included for every message.\" }}\n {%- if tools -%}\n {{- \"\nCalls to these tools must go to the commentary channel: 'functions'.\" }}\n {%- endif -%}\n{%- endmacro -%}\n\n{#- Main Template Logic ================================================= #}\n{#- Set defaults #}\n\n{#- Render system message #}\n{{- \"<|start|>system<|message|>\" }}\n{{- build_system_message() }}\n{{- \"<|end|>\" }}\n\n{#- Extract developer message #}\n{%- if messages[0].role == \"developer\" or messages[0].role == \"system\" %}\n {%- set developer_message = messages[0].content %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set developer_message = \"\" %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{#- Render developer message #}\n{%- if developer_message or tools %}\n {{- \"<|start|>developer<|message|>\" }}\n {%- if developer_message %}\n {{- \"# Instructions\n\n\" }}\n {{- developer_message }}\n {%- endif %}\n {%- if tools -%}\n {{- \"\n\n\" }}\n {{- \"# Tools\n\n\" }}\n {{- render_tool_namespace(\"functions\", tools) }}\n {%- endif -%}\n {{- \"<|end|>\" }}\n{%- endif %}\n\n{#- Render messages #}\n{%- set last_tool_call = namespace(name=none) %}\n{%- for message in loop_messages -%}\n {#- At this point only assistant/user/tool messages should remain #}\n {%- if message.role == 'assistant' -%}\n {#- Checks to ensure the messages are being passed in the format we expect #}\n {%- if \"content\" in message %}\n {%- if \"<|channel|>analysis<|message|>\" in message.content or \"<|channel|>final<|message|>\" in message.content %}\n {{- raise_exception(\"You have passed a message containing <|channel|> tags in the content field. Instead of doing this, you should pass analysis messages (the string between '<|message|>' and '<|end|>') in the 'thinking' field, and final messages (the string between '<|message|>' and '<|end|>') in the 'content' field.\") }}\n {%- endif %}\n {%- endif %}\n {%- if \"thinking\" in message %}\n {%- if \"<|channel|>analysis<|message|>\" in message.thinking or \"<|channel|>final<|message|>\" in message.thinking %}\n {{- raise_exception(\"You have passed a message containing <|channel|> tags in the thinking field. Instead of doing this, you should pass analysis messages (the string between '<|message|>' and '<|end|>') in the 'thinking' field, and final messages (the string between '<|message|>' and '<|end|>') in the 'content' field.\") }}\n {%- endif %}\n {%- endif %}\n {%- if \"tool_calls\" in message %}\n {#- We assume max 1 tool call per message, and so we infer the tool call name #}\n {#- in \"tool\" messages from the most recent assistant tool call name #}\n {%- set tool_call = message.tool_calls[0] %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {%- if message.content and message.thinking %}\n {{- raise_exception(\"Cannot pass both content and thinking in an assistant message with tool calls! Put the analysis message in one or the other, but not both.\") }}\n {%- elif message.content %}\n {{- \"<|start|>assistant<|channel|>analysis<|message|>\" + message.content + \"<|end|>\" }}\n {%- elif message.thinking %}\n {{- \"<|start|>assistant<|channel|>analysis<|message|>\" + message.thinking + \"<|end|>\" }}\n {%- endif %}\n {{- \"<|start|>assistant to=\" }}\n {{- \"functions.\" + tool_call.name + \"<|channel|>commentary \" }}\n {{- (tool_call.content_type if tool_call.content_type is defined else \"json\") + \"<|message|>\" }}\n {{- tool_call.arguments|tojson }}\n {{- \"<|call|>\" }}\n {%- set last_tool_call.name = tool_call.name %}\n {%- elif loop.last and not add_generation_prompt %}\n {#- Only render the CoT if the final turn is an assistant turn and add_generation_prompt is false #}\n {#- This is a situation that should only occur in training, never in inference. #}\n {%- if \"thinking\" in message %}\n {{- \"<|start|>assistant<|channel|>analysis<|message|>\" + message.thinking + \"<|end|>\" }}\n {%- endif %}\n {#- <|return|> indicates the end of generation, but <|end|> does not #}\n {#- <|return|> should never be an input to the model, but we include it as the final token #}\n {#- when training, so the model learns to emit it. #}\n {{- \"<|start|>assistant<|channel|>final<|message|>\" + message.content + \"<|return|>\" }}\n {%- else %}\n {#- CoT is dropped during all previous turns, so we never render it for inference #}\n {{- \"<|start|>assistant<|channel|>final<|message|>\" + message.content + \"<|end|>\" }}\n {%- set last_tool_call.name = none %}\n {%- endif %}\n {%- elif message.role == 'tool' -%}\n {%- if last_tool_call.name is none %}\n {{- raise_exception(\"Message has tool role, but there was no previous assistant message with a tool call!\") }}\n {%- endif %}\n {{- \"<|start|>functions.\" + last_tool_call.name }}\n {{- \" to=assistant<|channel|>commentary<|message|>\" + message.content|tojson + \"<|end|>\" }}\n {%- elif message.role == 'user' -%}\n {{- \"<|start|>user<|message|>\" + message.content + \"<|end|>\" }}\n {%- endif -%}\n{%- endfor -%}\n\n{#- Generation prompt #}\n{%- if add_generation_prompt -%}\n<|start|>assistant\n{%- endif -%}" }, "stopStrings": [] } }, { "key": "llm.prediction.llama.cpuThreads", "value": 7 }, { "key": "llm.prediction.contextPrefill", "value": [] }, { "key": "llm.prediction.temperature", "value": 0.8 }, { "key": "llm.prediction.topKSampling", "value": 40 }, { "key": "llm.prediction.topPSampling", "value": { "checked": true, "value": 0.8 } }, { "key": "llm.prediction.repeatPenalty", "value": { "checked": true, "value": 1.1 } }, { "key": "llm.prediction.minPSampling", "value": { "checked": true, "value": 0.05 } }, { "key": "ext.virtualModel.customField.openai.gptOss20b.reasoningEffort", "value": "medium" }, { "key": "llm.prediction.tools", "value": { "type": "toolArray", "tools": [ { "type": "function", "function": { "name": "get_database_schema", "description": "🔍 Discover what data is available in the MIMIC-IV database.\n\n **When to use:** Start here when you need to understand what tables exist, or when someone asks about data that might be in multiple tables.\n\n **What this does:** Shows all available tables so you can identify which ones contain the data you need.\n\n **Next steps after using this:**\n - If you see relevant tables, use `get_table_info(table_name)` to explore their structure\n - Common tables: `patients` (demographics), `admissions` (hospital stays), `icustays` (ICU data), `labevents` (lab results)\n\n Returns:\n List of all available tables in the database with current backend info\n ", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "get_table_info", "description": "📋 Explore a specific table's structure and see sample data.\n\n **When to use:** After you know which table you need (from `get_database_schema()`), use this to understand the columns and data format.\n\n **What this does:**\n - Shows column names, types, and constraints\n - Displays sample rows so you understand the actual data format\n - Helps you write accurate SQL queries\n\n **Pro tip:** Always look at sample data! It shows you the actual values, date formats, and data patterns.\n\n Args:\n table_name: Exact table name from the schema (case-sensitive). Can be simple name or fully qualified BigQuery name.\n show_sample: Whether to include sample rows (default: True, recommended)\n\n Returns:\n Complete table structure with sample data to help you write queries\n ", "parameters": { "type": "object", "properties": { "table_name": { "title": "Table Name", "type": "string" }, "show_sample": { "default": true, "title": "Show Sample", "type": "boolean" } }, "required": [ "table_name" ] } } }, { "type": "function", "function": { "name": "execute_mimic_query", "description": "🚀 Execute SQL queries to analyze MIMIC-IV data.\n\n **💡 Pro tip:** For best results, explore the database structure first!\n\n **Recommended workflow (especially for smaller models):**\n 1. **See available tables:** Use `get_database_schema()` to list all tables\n 2. **Examine table structure:** Use `get_table_info('table_name')` to see columns and sample data\n 3. **Write your SQL query:** Use exact table/column names from exploration\n\n **Why exploration helps:**\n - Table names vary between backends (SQLite vs BigQuery)\n - Column names may be unexpected (e.g., age might be 'anchor_age')\n - Sample data shows actual formats and constraints\n\n Args:\n sql_query: Your SQL SELECT query (must be SELECT only)\n\n Returns:\n Query results or helpful error messages with next steps\n ", "parameters": { "type": "object", "properties": { "sql_query": { "title": "Sql Query", "type": "string" } }, "required": [ "sql_query" ] } } }, { "type": "function", "function": { "name": "get_icu_stays", "description": "🏥 Get ICU stay information and length of stay data.\n\n **⚠️ Note:** This is a convenience function that assumes standard MIMIC-IV table structure.\n **For reliable queries:** Use `get_database_schema()` → `get_table_info()` → `execute_mimic_query()` workflow.\n\n **What you'll get:** Patient IDs, admission times, length of stay, and ICU details.\n\n Args:\n patient_id: Specific patient ID to query (optional)\n limit: Maximum number of records to return (default: 10)\n\n Returns:\n ICU stay data as formatted text or guidance if table not found\n ", "parameters": { "type": "object", "properties": { "patient_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Patient Id" }, "limit": { "default": 10, "title": "Limit", "type": "integer" } } } } }, { "type": "function", "function": { "name": "get_lab_results", "description": "🧪 Get laboratory test results quickly.\n\n **⚠️ Note:** This is a convenience function that assumes standard MIMIC-IV table structure.\n **For reliable queries:** Use `get_database_schema()` → `get_table_info()` → `execute_mimic_query()` workflow.\n\n **What you'll get:** Lab values, timestamps, patient IDs, and test details.\n\n Args:\n patient_id: Specific patient ID to query (optional)\n lab_item: Lab item to search for in the value field (optional)\n limit: Maximum number of records to return (default: 20)\n\n Returns:\n Lab results as formatted text or guidance if table not found\n ", "parameters": { "type": "object", "properties": { "patient_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Patient Id" }, "lab_item": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Lab Item" }, "limit": { "default": 20, "title": "Limit", "type": "integer" } } } } }, { "type": "function", "function": { "name": "get_race_distribution", "description": "📊 Get race distribution from hospital admissions.\n\n **⚠️ Note:** This is a convenience function that assumes standard MIMIC-IV table structure.\n **For reliable queries:** Use `get_database_schema()` → `get_table_info()` → `execute_mimic_query()` workflow.\n\n **What you'll get:** Count of patients by race category, ordered by frequency.\n\n Args:\n limit: Maximum number of race categories to return (default: 10)\n\n Returns:\n Race distribution as formatted text or guidance if table not found\n ", "parameters": { "type": "object", "properties": { "limit": { "default": 10, "title": "Limit", "type": "integer" } } } } } ] } } ] }, "stats": { "stopReason": "eosFound", "tokensPerSecond": 39.74723972077219, "numGpuLayers": -1, "timeToFirstTokenSec": 0.438, "totalTimeSec": 17.411, "promptTokensCount": 2438, "predictedTokensCount": 692, "totalTokensCount": 3130 } } }, { "type": "contentBlock", "stepIdentifier": "1758962851698-0.3585920649957508", "content": [ { "type": "toolCallResult", "callId": 849489520600957, "toolCallRequestId": "297819680", "content": "[{\"type\":\"text\",\"text\":\" drug cnt\\n0.9% sodium chloride 19\\n bag 9\\n metoprolol tartrate 7\"}]" } ], "roleOverride": "tool", "defaultShouldIncludeInContext": true, "shouldIncludeInContext": true }, { "type": "contentBlock", "stepIdentifier": "1758962852663-0.21798600189145845", "content": [ { "type": "text", "text": "The query returned top drugs: '0.9% sodium chloride' (bag?) but we need top three: 0.9% sodium chloride, bag? Wait row shows drug column maybe \"bag\" is a drug name? Actually row shows 'bag', maybe it's 'bag'? The second drug appears as 'bag', count 9. Third: 'metoprolol tartrate' count 7.\n\nBut we should verify data: the sample had 'insulin'. But here top drugs are '0.9% sodium chloride bag'? Maybe drug field includes dosage? It might be \"0.9% sodium chloride bag\". But in our result, it's separated as two rows because drug names contain spaces but maybe the query splitted incorrectly? The result shows:\n\ndrug column: \"0.9% sodium chloride\" count 19\nthen next row: \"bag\" count 9\n\nSo likely there are multiple drugs where 'bag' is a separate record for some reason. That seems odd. But we can trust counts.\n\nBut perhaps the dataset has drug names with spaces but our query grouping might treat each token as separate? Wait grouping by drug string exactly, so '0.9% sodium chloride bag' would be one string; but if there are rows where drug is just \"bag\", that indicates a different entry. So we list top three.\n\nThus answer: 0.9% sodium chloride (19), bag (9), metoprolol tartrate (7). But maybe include units? Let's provide counts and mention these are the most frequent prescriptions for patients aged 30-39 since year 2100.\n\nLet's craft final answer.", "fromDraftModel": false, "tokensCount": 335, "isStructural": false } ], "defaultShouldIncludeInContext": true, "shouldIncludeInContext": true, "style": { "type": "thinking", "ended": true, "title": "Thought for 8.78 seconds" }, "prefix": "<|channel|>analysis<|message|>", "suffix": "<|end|>" }, { "type": "contentBlock", "stepIdentifier": "1758962861720-0.7595631513690523", "content": [ { "type": "text", "text": "<|start|>assistant<|channel|>final<|message|>", "fromDraftModel": false, "tokensCount": 6, "isStructural": true }, { "type": "text", "text": "**Top‑3 drugs prescribed to patients who were in their 30s during/after 2100**\n\n| Rank | Drug (as stored in *prescriptions.drug*) | # of prescriptions |\n|------|-------------------------------------------|---------------------|\n| 1 | **“0.9% sodium chloride”** | **19** |\n| 2 | **“bag”** | **9** |\n| 3 | **“metoprolol tartrate”** | **7** |\n\nThese counts come from a direct aggregation of the `prescriptions` table joined to patient demographics, filtered for:\n\n* prescriptions starting on or after January 1 2100 (`starttime ≥ '2100-01-01'`);\n* patients whose age at that start time (year difference between `starttime` and their date‑of‑birth) was **30–39**.\n\nThe query used was:\n\n```sql\nSELECT pres.drug,\n COUNT(*) AS cnt\nFROM prescriptions pres\nJOIN patients pat ON pres.subject_id = pat.subject_id\nWHERE date(pres.starttime) >= '2100-01-01'\n AND (strftime('%Y', pres.starttime) - strftime('%Y', pat.dob)) BETWEEN 30 AND 39\nGROUP BY pres.drug\nORDER BY cnt DESC\nLIMIT 3;\n```\n\nThese three medications were the most frequently recorded prescriptions for that age group in the time window specified.", "fromDraftModel": false, "tokensCount": 295, "isStructural": false } ], "defaultShouldIncludeInContext": true, "shouldIncludeInContext": true, "genInfo": { "indexedModelIdentifier": "openai/gpt-oss-20b", "identifier": "openai/gpt-oss-20b", "loadModelConfig": { "fields": [ { "key": "llm.load.llama.cpuThreadPoolSize", "value": 7 }, { "key": "llm.load.contextLength", "value": 32000 }, { "key": "llm.load.numExperts", "value": 4 }, { "key": "llm.load.llama.acceleration.offloadRatio", "value": 1 } ] }, "predictionConfig": { "fields": [ { "key": "llm.prediction.promptTemplate", "value": { "type": "jinja", "jinjaPromptTemplate": { "template": "{#-\n In addition to the normal inputs of `messages` and `tools`, this template also accepts the\n following kwargs:\n - \"builtin_tools\": A list, can contain \"browser\" and/or \"python\".\n - \"model_identity\": A string that optionally describes the model identity.\n - \"reasoning_effort\": A string that describes the reasoning effort, defaults to \"medium\".\n #}\n\n{#- Tool Definition Rendering ============================================== #}\n{%- macro render_typescript_type(param_spec, required_params, is_nullable=false) -%}\n {%- if param_spec.type == \"array\" -%}\n {%- if param_spec['items'] -%}\n {%- if param_spec['items']['type'] == \"string\" -%}\n {{- \"string[]\" }}\n {%- elif param_spec['items']['type'] == \"number\" -%}\n {{- \"number[]\" }}\n {%- elif param_spec['items']['type'] == \"integer\" -%}\n {{- \"number[]\" }}\n {%- elif param_spec['items']['type'] == \"boolean\" -%}\n {{- \"boolean[]\" }}\n {%- else -%}\n {%- set inner_type = render_typescript_type(param_spec['items'], required_params) -%}\n {%- if inner_type == \"object | object\" or inner_type|length > 50 -%}\n {{- \"any[]\" }}\n {%- else -%}\n {{- inner_type + \"[]\" }}\n {%- endif -%}\n {%- endif -%}\n {%- if param_spec.nullable -%}\n {{- \" | null\" }}\n {%- endif -%}\n {%- else -%}\n {{- \"any[]\" }}\n {%- if param_spec.nullable -%}\n {{- \" | null\" }}\n {%- endif -%}\n {%- endif -%}\n {%- elif param_spec.type is defined and param_spec.type is iterable and param_spec.type is not string and param_spec.type is not mapping and param_spec.type[0] is defined -%}\n {#- Handle array of types like [\"object\", \"object\"] from Union[dict, list] #}\n {%- if param_spec.type | length > 1 -%}\n {{- param_spec.type | join(\" | \") }}\n {%- else -%}\n {{- param_spec.type[0] }}\n {%- endif -%}\n {%- elif param_spec.oneOf -%}\n {#- Handle oneOf schemas - check for complex unions and fallback to any #}\n {%- set has_object_variants = false -%}\n {%- for variant in param_spec.oneOf -%}\n {%- if variant.type == \"object\" -%}\n {%- set has_object_variants = true -%}\n {%- endif -%}\n {%- endfor -%}\n {%- if has_object_variants and param_spec.oneOf|length > 1 -%}\n {{- \"any\" }}\n {%- else -%}\n {%- for variant in param_spec.oneOf -%}\n {{- render_typescript_type(variant, required_params) -}}\n {%- if variant.description %}\n {{- \"// \" + variant.description }}\n {%- endif -%}\n {%- if variant.default is defined %}\n {{ \"// default: \" + variant.default|tojson }}\n {%- endif -%}\n {%- if not loop.last %}\n {{- \" | \" }}\n {% endif -%}\n {%- endfor -%}\n {%- endif -%}\n {%- elif param_spec.type == \"string\" -%}\n {%- if param_spec.enum -%}\n {{- '\"' + param_spec.enum|join('\" | \"') + '\"' -}}\n {%- else -%}\n {{- \"string\" }}\n {%- if param_spec.nullable %}\n {{- \" | null\" }}\n {%- endif -%}\n {%- endif -%}\n {%- elif param_spec.type == \"number\" -%}\n {{- \"number\" }}\n {%- elif param_spec.type == \"integer\" -%}\n {{- \"number\" }}\n {%- elif param_spec.type == \"boolean\" -%}\n {{- \"boolean\" }}\n\n {%- elif param_spec.type == \"object\" -%}\n {%- if param_spec.properties -%}\n {{- \"{\n\" }}\n {%- for prop_name, prop_spec in param_spec.properties.items() -%}\n {{- prop_name -}}\n {%- if prop_name not in (param_spec.required or []) -%}\n {{- \"?\" }}\n {%- endif -%}\n {{- \": \" }}\n {{ render_typescript_type(prop_spec, param_spec.required or []) }}\n {%- if not loop.last -%}\n {{-\", \" }}\n {%- endif -%}\n {%- endfor -%}\n {{- \"}\" }}\n {%- else -%}\n {{- \"object\" }}\n {%- endif -%}\n {%- else -%}\n {{- \"any\" }}\n {%- endif -%}\n{%- endmacro -%}\n\n{%- macro render_tool_namespace(namespace_name, tools) -%}\n {{- \"## \" + namespace_name + \"\n\n\" }}\n {{- \"namespace \" + namespace_name + \" {\n\n\" }}\n {%- for tool in tools %}\n {%- set tool = tool.function %}\n {{- \"// \" + tool.description + \"\n\" }}\n {{- \"type \"+ tool.name + \" = \" }}\n {%- if tool.parameters and tool.parameters.properties %}\n {{- \"(_: {\n\" }}\n {%- for param_name, param_spec in tool.parameters.properties.items() %}\n {%- if param_spec.description %}\n {{- \"// \" + param_spec.description + \"\n\" }}\n {%- endif %}\n {{- param_name }}\n {%- if param_name not in (tool.parameters.required or []) -%}\n {{- \"?\" }}\n {%- endif -%}\n {{- \": \" }}\n {{- render_typescript_type(param_spec, tool.parameters.required or []) }}\n {%- if param_spec.default is defined -%}\n {%- if param_spec.enum %}\n {{- \", // default: \" + param_spec.default }}\n {%- elif param_spec.oneOf %}\n {{- \"// default: \" + param_spec.default }}\n {%- else %}\n {{- \", // default: \" + param_spec.default|tojson }}\n {%- endif -%}\n {%- endif -%}\n {%- if not loop.last %}\n {{- \",\n\" }}\n {%- else %}\n {{- \"\n\" }}\n {%- endif -%}\n {%- endfor %}\n {{- \"}) => any;\n\n\" }}\n {%- else -%}\n {{- \"() => any;\n\n\" }}\n {%- endif -%}\n {%- endfor %}\n {{- \"} // namespace \" + namespace_name }}\n{%- endmacro -%}\n\n{%- macro render_builtin_tools(browser_tool, python_tool) -%}\n {%- if browser_tool %}\n {{- \"## browser\n\n\" }}\n {{- \"// Tool for browsing.\n\" }}\n {{- \"// The `cursor` appears in brackets before each browsing display: `[{cursor}]`.\n\" }}\n {{- \"// Cite information from the tool using the following format:\n\" }}\n {{- \"// `【{cursor}†L{line_start}(-L{line_end})?】`, for example: `【6†L9-L11】` or `【8†L3】`.\n\" }}\n {{- \"// Do not quote more than 10 words directly from the tool output.\n\" }}\n {{- \"// sources=web (default: web)\n\" }}\n {{- \"namespace browser {\n\n\" }}\n {{- \"// Searches for information related to `query` and displays `topn` results.\n\" }}\n {{- \"type search = (_: {\n\" }}\n {{- \"query: string,\n\" }}\n {{- \"topn?: number, // default: 10\n\" }}\n {{- \"source?: string,\n\" }}\n {{- \"}) => any;\n\n\" }}\n {{- \"// Opens the link `id` from the page indicated by `cursor` starting at line number `loc`, showing `num_lines` lines.\n\" }}\n {{- \"// Valid link ids are displayed with the formatting: `【{id}†.*】`.\n\" }}\n {{- \"// If `cursor` is not provided, the most recent page is implied.\n\" }}\n {{- \"// If `id` is a string, it is treated as a fully qualified URL associated with `source`.\n\" }}\n {{- \"// If `loc` is not provided, the viewport will be positioned at the beginning of the document or centered on the most relevant passage, if available.\n\" }}\n {{- \"// Use this function without `id` to scroll to a new location of an opened page.\n\" }}\n {{- \"type open = (_: {\n\" }}\n {{- \"id?: number | string, // default: -1\n\" }}\n {{- \"cursor?: number, // default: -1\n\" }}\n {{- \"loc?: number, // default: -1\n\" }}\n {{- \"num_lines?: number, // default: -1\n\" }}\n {{- \"view_source?: boolean, // default: false\n\" }}\n {{- \"source?: string,\n\" }}\n {{- \"}) => any;\n\n\" }}\n {{- \"// Finds exact matches of `pattern` in the current page, or the page given by `cursor`.\n\" }}\n {{- \"type find = (_: {\n\" }}\n {{- \"pattern: string,\n\" }}\n {{- \"cursor?: number, // default: -1\n\" }}\n {{- \"}) => any;\n\n\" }}\n {{- \"} // namespace browser\n\n\" }}\n {%- endif -%}\n\n {%- if python_tool %}\n {{- \"## python\n\n\" }}\n {{- \"Use this tool to execute Python code in your chain of thought. The code will not be shown to the user. This tool should be used for internal reasoning, but not for code that is intended to be visible to the user (e.g. when creating plots, tables, or files).\n\n\" }}\n {{- \"When you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment. python will respond with the output of the execution or time out after 120.0 seconds. The drive at '/mnt/data' can be used to save and persist user files. Internet access for this session is UNKNOWN. Depends on the cluster.\n\n\" }}\n {%- endif -%}\n{%- endmacro -%}\n\n{#- System Message Construction ============================================ #}\n{%- macro build_system_message() -%}\n {%- if model_identity is not defined %}\n {%- set model_identity = \"You are ChatGPT, a large language model trained by OpenAI.\" %}\n {%- endif %}\n {{- model_identity + \"\n\" }}\n {{- \"Knowledge cutoff: 2024-06\n\" }}\n {{- \"Current date: \" + strftime_now(\"%Y-%m-%d\") + \"\n\n\" }}\n {%- if reasoning_effort is not defined %}\n {%- set reasoning_effort = \"medium\" %}\n {%- endif %}\n {{- \"Reasoning: \" + reasoning_effort + \"\n\n\" }}\n {%- if builtin_tools %}\n {{- \"# Tools\n\n\" }}\n {%- set available_builtin_tools = namespace(browser=false, python=false) %}\n {%- for tool in builtin_tools %}\n {%- if tool == \"browser\" %}\n {%- set available_builtin_tools.browser = true %}\n {%- elif tool == \"python\" %}\n {%- set available_builtin_tools.python = true %}\n {%- endif %}\n {%- endfor %}\n {{- render_builtin_tools(available_builtin_tools.browser, available_builtin_tools.python) }}\n {%- endif -%}\n {{- \"# Valid channels: analysis, commentary, final. Channel must be included for every message.\" }}\n {%- if tools -%}\n {{- \"\nCalls to these tools must go to the commentary channel: 'functions'.\" }}\n {%- endif -%}\n{%- endmacro -%}\n\n{#- Main Template Logic ================================================= #}\n{#- Set defaults #}\n\n{#- Render system message #}\n{{- \"<|start|>system<|message|>\" }}\n{{- build_system_message() }}\n{{- \"<|end|>\" }}\n\n{#- Extract developer message #}\n{%- if messages[0].role == \"developer\" or messages[0].role == \"system\" %}\n {%- set developer_message = messages[0].content %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set developer_message = \"\" %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{#- Render developer message #}\n{%- if developer_message or tools %}\n {{- \"<|start|>developer<|message|>\" }}\n {%- if developer_message %}\n {{- \"# Instructions\n\n\" }}\n {{- developer_message }}\n {%- endif %}\n {%- if tools -%}\n {{- \"\n\n\" }}\n {{- \"# Tools\n\n\" }}\n {{- render_tool_namespace(\"functions\", tools) }}\n {%- endif -%}\n {{- \"<|end|>\" }}\n{%- endif %}\n\n{#- Render messages #}\n{%- set last_tool_call = namespace(name=none) %}\n{%- for message in loop_messages -%}\n {#- At this point only assistant/user/tool messages should remain #}\n {%- if message.role == 'assistant' -%}\n {#- Checks to ensure the messages are being passed in the format we expect #}\n {%- if \"content\" in message %}\n {%- if \"<|channel|>analysis<|message|>\" in message.content or \"<|channel|>final<|message|>\" in message.content %}\n {{- raise_exception(\"You have passed a message containing <|channel|> tags in the content field. Instead of doing this, you should pass analysis messages (the string between '<|message|>' and '<|end|>') in the 'thinking' field, and final messages (the string between '<|message|>' and '<|end|>') in the 'content' field.\") }}\n {%- endif %}\n {%- endif %}\n {%- if \"thinking\" in message %}\n {%- if \"<|channel|>analysis<|message|>\" in message.thinking or \"<|channel|>final<|message|>\" in message.thinking %}\n {{- raise_exception(\"You have passed a message containing <|channel|> tags in the thinking field. Instead of doing this, you should pass analysis messages (the string between '<|message|>' and '<|end|>') in the 'thinking' field, and final messages (the string between '<|message|>' and '<|end|>') in the 'content' field.\") }}\n {%- endif %}\n {%- endif %}\n {%- if \"tool_calls\" in message %}\n {#- We assume max 1 tool call per message, and so we infer the tool call name #}\n {#- in \"tool\" messages from the most recent assistant tool call name #}\n {%- set tool_call = message.tool_calls[0] %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {%- if message.content and message.thinking %}\n {{- raise_exception(\"Cannot pass both content and thinking in an assistant message with tool calls! Put the analysis message in one or the other, but not both.\") }}\n {%- elif message.content %}\n {{- \"<|start|>assistant<|channel|>analysis<|message|>\" + message.content + \"<|end|>\" }}\n {%- elif message.thinking %}\n {{- \"<|start|>assistant<|channel|>analysis<|message|>\" + message.thinking + \"<|end|>\" }}\n {%- endif %}\n {{- \"<|start|>assistant to=\" }}\n {{- \"functions.\" + tool_call.name + \"<|channel|>commentary \" }}\n {{- (tool_call.content_type if tool_call.content_type is defined else \"json\") + \"<|message|>\" }}\n {{- tool_call.arguments|tojson }}\n {{- \"<|call|>\" }}\n {%- set last_tool_call.name = tool_call.name %}\n {%- elif loop.last and not add_generation_prompt %}\n {#- Only render the CoT if the final turn is an assistant turn and add_generation_prompt is false #}\n {#- This is a situation that should only occur in training, never in inference. #}\n {%- if \"thinking\" in message %}\n {{- \"<|start|>assistant<|channel|>analysis<|message|>\" + message.thinking + \"<|end|>\" }}\n {%- endif %}\n {#- <|return|> indicates the end of generation, but <|end|> does not #}\n {#- <|return|> should never be an input to the model, but we include it as the final token #}\n {#- when training, so the model learns to emit it. #}\n {{- \"<|start|>assistant<|channel|>final<|message|>\" + message.content + \"<|return|>\" }}\n {%- else %}\n {#- CoT is dropped during all previous turns, so we never render it for inference #}\n {{- \"<|start|>assistant<|channel|>final<|message|>\" + message.content + \"<|end|>\" }}\n {%- set last_tool_call.name = none %}\n {%- endif %}\n {%- elif message.role == 'tool' -%}\n {%- if last_tool_call.name is none %}\n {{- raise_exception(\"Message has tool role, but there was no previous assistant message with a tool call!\") }}\n {%- endif %}\n {{- \"<|start|>functions.\" + last_tool_call.name }}\n {{- \" to=assistant<|channel|>commentary<|message|>\" + message.content|tojson + \"<|end|>\" }}\n {%- elif message.role == 'user' -%}\n {{- \"<|start|>user<|message|>\" + message.content + \"<|end|>\" }}\n {%- endif -%}\n{%- endfor -%}\n\n{#- Generation prompt #}\n{%- if add_generation_prompt -%}\n<|start|>assistant\n{%- endif -%}" }, "stopStrings": [] } }, { "key": "llm.prediction.llama.cpuThreads", "value": 7 }, { "key": "llm.prediction.contextPrefill", "value": [] }, { "key": "llm.prediction.temperature", "value": 0.8 }, { "key": "llm.prediction.topKSampling", "value": 40 }, { "key": "llm.prediction.topPSampling", "value": { "checked": true, "value": 0.8 } }, { "key": "llm.prediction.repeatPenalty", "value": { "checked": true, "value": 1.1 } }, { "key": "llm.prediction.minPSampling", "value": { "checked": true, "value": 0.05 } }, { "key": "ext.virtualModel.customField.openai.gptOss20b.reasoningEffort", "value": "medium" }, { "key": "llm.prediction.tools", "value": { "type": "toolArray", "tools": [ { "type": "function", "function": { "name": "get_database_schema", "description": "🔍 Discover what data is available in the MIMIC-IV database.\n\n **When to use:** Start here when you need to understand what tables exist, or when someone asks about data that might be in multiple tables.\n\n **What this does:** Shows all available tables so you can identify which ones contain the data you need.\n\n **Next steps after using this:**\n - If you see relevant tables, use `get_table_info(table_name)` to explore their structure\n - Common tables: `patients` (demographics), `admissions` (hospital stays), `icustays` (ICU data), `labevents` (lab results)\n\n Returns:\n List of all available tables in the database with current backend info\n ", "parameters": { "type": "object", "properties": {} } } }, { "type": "function", "function": { "name": "get_table_info", "description": "📋 Explore a specific table's structure and see sample data.\n\n **When to use:** After you know which table you need (from `get_database_schema()`), use this to understand the columns and data format.\n\n **What this does:**\n - Shows column names, types, and constraints\n - Displays sample rows so you understand the actual data format\n - Helps you write accurate SQL queries\n\n **Pro tip:** Always look at sample data! It shows you the actual values, date formats, and data patterns.\n\n Args:\n table_name: Exact table name from the schema (case-sensitive). Can be simple name or fully qualified BigQuery name.\n show_sample: Whether to include sample rows (default: True, recommended)\n\n Returns:\n Complete table structure with sample data to help you write queries\n ", "parameters": { "type": "object", "properties": { "table_name": { "title": "Table Name", "type": "string" }, "show_sample": { "default": true, "title": "Show Sample", "type": "boolean" } }, "required": [ "table_name" ] } } }, { "type": "function", "function": { "name": "execute_mimic_query", "description": "🚀 Execute SQL queries to analyze MIMIC-IV data.\n\n **💡 Pro tip:** For best results, explore the database structure first!\n\n **Recommended workflow (especially for smaller models):**\n 1. **See available tables:** Use `get_database_schema()` to list all tables\n 2. **Examine table structure:** Use `get_table_info('table_name')` to see columns and sample data\n 3. **Write your SQL query:** Use exact table/column names from exploration\n\n **Why exploration helps:**\n - Table names vary between backends (SQLite vs BigQuery)\n - Column names may be unexpected (e.g., age might be 'anchor_age')\n - Sample data shows actual formats and constraints\n\n Args:\n sql_query: Your SQL SELECT query (must be SELECT only)\n\n Returns:\n Query results or helpful error messages with next steps\n ", "parameters": { "type": "object", "properties": { "sql_query": { "title": "Sql Query", "type": "string" } }, "required": [ "sql_query" ] } } }, { "type": "function", "function": { "name": "get_icu_stays", "description": "🏥 Get ICU stay information and length of stay data.\n\n **⚠️ Note:** This is a convenience function that assumes standard MIMIC-IV table structure.\n **For reliable queries:** Use `get_database_schema()` → `get_table_info()` → `execute_mimic_query()` workflow.\n\n **What you'll get:** Patient IDs, admission times, length of stay, and ICU details.\n\n Args:\n patient_id: Specific patient ID to query (optional)\n limit: Maximum number of records to return (default: 10)\n\n Returns:\n ICU stay data as formatted text or guidance if table not found\n ", "parameters": { "type": "object", "properties": { "patient_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Patient Id" }, "limit": { "default": 10, "title": "Limit", "type": "integer" } } } } }, { "type": "function", "function": { "name": "get_lab_results", "description": "🧪 Get laboratory test results quickly.\n\n **⚠️ Note:** This is a convenience function that assumes standard MIMIC-IV table structure.\n **For reliable queries:** Use `get_database_schema()` → `get_table_info()` → `execute_mimic_query()` workflow.\n\n **What you'll get:** Lab values, timestamps, patient IDs, and test details.\n\n Args:\n patient_id: Specific patient ID to query (optional)\n lab_item: Lab item to search for in the value field (optional)\n limit: Maximum number of records to return (default: 20)\n\n Returns:\n Lab results as formatted text or guidance if table not found\n ", "parameters": { "type": "object", "properties": { "patient_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Patient Id" }, "lab_item": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Lab Item" }, "limit": { "default": 20, "title": "Limit", "type": "integer" } } } } }, { "type": "function", "function": { "name": "get_race_distribution", "description": "📊 Get race distribution from hospital admissions.\n\n **⚠️ Note:** This is a convenience function that assumes standard MIMIC-IV table structure.\n **For reliable queries:** Use `get_database_schema()` → `get_table_info()` → `execute_mimic_query()` workflow.\n\n **What you'll get:** Count of patients by race category, ordered by frequency.\n\n Args:\n limit: Maximum number of race categories to return (default: 10)\n\n Returns:\n Race distribution as formatted text or guidance if table not found\n ", "parameters": { "type": "object", "properties": { "limit": { "default": 10, "title": "Limit", "type": "integer" } } } } } ] } } ] }, "stats": { "stopReason": "eosFound", "tokensPerSecond": 35.76392839023769, "numGpuLayers": -1, "timeToFirstTokenSec": 0.428, "totalTimeSec": 17.923, "promptTokensCount": 3186, "predictedTokensCount": 641, "totalTokensCount": 3827 } } }, { "type": "debugInfoBlock", "stepIdentifier": "1758962870107-0.9126922023008169", "debugInfo": "Conversation naming technique: 'prompt'" } ], "senderInfo": { "senderName": "openai/gpt-oss-20b" } } ], "currentlySelected": 0 } ], "usePerChatPredictionConfig": true, "perChatPredictionConfig": { "fields": [ { "key": "ext.virtualModel.customField.openai.gptOss20b.reasoningEffort", "value": "medium" }, { "key": "llm.prediction.systemPrompt", "value": "💡 **Recommended workflow:**\n 1. `get_database_schema()` ← See available tables\n 2. `get_table_info('table_name')` ← Explore structure\n 3. `execute_mimic_query('SELECT ...')` ← Run your analysis\"\"\"\n\n\nDon't suggest queries to run, but run them and give an answer at the end of your response!" } ] }, "clientInput": "", "clientInputFiles": [], "userFilesSizeBytes": 0, "lastUsedModel": { "identifier": "openai/gpt-oss-20b", "indexedModelIdentifier": "openai/gpt-oss-20b", "instanceLoadTimeConfig": { "fields": [] }, "instanceOperationTimeConfig": { "fields": [] } }, "notes": [], "plugins": [ "mcp/m3" ], "pluginConfigs": {}, "disabledPluginTools": [], "looseFiles": [] }