{ "data": { "startData": {}, "resultData": { "runData": { "When clicking \"Test workflow\"": [ { "startTime": 1747343997730, "executionIndex": 0, "source": [], "hints": [], "executionTime": 0, "executionStatus": "success", "data": { "main": [ [ { "json": {}, "pairedItem": { "item": 0 } } ] ] } } ], "OpenAI Chat Model2": [ { "startTime": 1747343997733, "executionTime": 1117, "executionIndex": 2, "executionStatus": "success", "source": [ { "previousNode": "AI Agent2", "previousNodeRun": 0 } ], "data": { "ai_languageModel": [ [ { "json": { "response": { "object": true }, "tokenUsage": { "object": true } } } ] ] }, "inputOverride": { "ai_languageModel": [ [ { "json": { "messages": [ "System: Answer the following questions as best you can. You have access to the following tools:\n\ncalculator: Useful for getting the result of a math expression. The input to this tool should be a valid mathematical expression that could be executed by a simple calculator.\n\nThe way you use the tools is by specifying a json blob, denoted below by $JSON_BLOB\nSpecifically, this $JSON_BLOB should have a \"action\" key (with the name of the tool to use) and a \"action_input\" key (with the input to the tool going here). \nThe $JSON_BLOB should only contain a SINGLE action, do NOT return a list of multiple actions. Here is an example of a valid $JSON_BLOB:\n\n```\n{\n \"action\": \"calculator\",\n \"action_input\": \"1 + 2\"\n}\n```\n\nALWAYS use the following format:\n\nQuestion: the input question you must answer\nThought: you should always think about what to do\nAction: \n```\n$JSON_BLOB\n```\nObservation: the result of the action\n... (this Thought/Action/Observation can repeat N times)\nThought: I now know the final answer\nFinal Answer: the final answer to the original input question\n\nBegin! Reminder to always use the exact characters `Final Answer` when responding.\nHuman: What is the result of 30 + (10002200 / 100)? Only respond with a number.\n\n" ], "estimatedTokens": 294, "options": { "openai_api_key": { "lc": 1, "type": "secret", "id": [ "OPENAI_API_KEY" ] }, "model": "gpt-4o-mini", "temperature": 0, "timeout": 60000, "max_retries": 2, "configuration": { "baseURL": "https://api.openai.com/v1" }, "model_kwargs": {} } } } ] ] }, "metadata": { "subRun": [ { "node": "OpenAI Chat Model2", "runIndex": 0 }, { "node": "OpenAI Chat Model2", "runIndex": 1 } ] } }, { "startTime": 1747343998855, "executionTime": 811, "executionIndex": 4, "executionStatus": "success", "source": [ { "previousNode": "AI Agent2", "previousNodeRun": 0 } ], "data": { "ai_languageModel": [ [ { "json": { "response": { "object": true }, "tokenUsage": { "object": true } } } ] ] }, "inputOverride": { "ai_languageModel": [ [ { "json": { "messages": [ "System: Answer the following questions as best you can. You have access to the following tools:\n\ncalculator: Useful for getting the result of a math expression. The input to this tool should be a valid mathematical expression that could be executed by a simple calculator.\n\nThe way you use the tools is by specifying a json blob, denoted below by $JSON_BLOB\nSpecifically, this $JSON_BLOB should have a \"action\" key (with the name of the tool to use) and a \"action_input\" key (with the input to the tool going here). \nThe $JSON_BLOB should only contain a SINGLE action, do NOT return a list of multiple actions. Here is an example of a valid $JSON_BLOB:\n\n```\n{\n \"action\": \"calculator\",\n \"action_input\": \"1 + 2\"\n}\n```\n\nALWAYS use the following format:\n\nQuestion: the input question you must answer\nThought: you should always think about what to do\nAction: \n```\n$JSON_BLOB\n```\nObservation: the result of the action\n... (this Thought/Action/Observation can repeat N times)\nThought: I now know the final answer\nFinal Answer: the final answer to the original input question\n\nBegin! Reminder to always use the exact characters `Final Answer` when responding.\nHuman: What is the result of 30 + (10002200 / 100)? Only respond with a number.\n\nThis was your previous work (but I haven't seen any of it! I only see what you return as final answer):\nQuestion: What is the result of 30 + (10002200 / 100)?\nThought: I need to calculate the division first and then add 30 to the result.\nAction: \n```\n{\n \"action\": \"calculator\",\n \"action_input\": \"30 + (10002200 / 100)\"\n}\n```\n\nObservation: 100052\nThought:" ], "estimatedTokens": 394, "options": { "openai_api_key": { "lc": 1, "type": "secret", "id": [ "OPENAI_API_KEY" ] }, "model": "gpt-4o-mini", "temperature": 0, "timeout": 60000, "max_retries": 2, "configuration": { "baseURL": "https://api.openai.com/v1" }, "model_kwargs": {} } } } ] ] } } ], "Calculator2": [ { "startTime": 1747343998851, "executionTime": 2, "executionIndex": 3, "executionStatus": "success", "source": [ { "previousNode": "AI Agent2", "previousNodeRun": 0 } ], "data": { "ai_tool": [ [ { "json": { "response": "100052" } } ] ] }, "inputOverride": { "ai_tool": [ [ { "json": { "query": "30 + (10002200 / 100)" } } ] ] }, "metadata": { "subRun": [ { "node": "Calculator2", "runIndex": 0 } ] } } ], "AI Agent2": [ { "startTime": 1747343997730, "executionIndex": 1, "source": [ { "previousNode": "When clicking \"Test workflow\"" } ], "hints": [], "executionTime": 1936, "executionStatus": "success", "data": { "main": [ [ { "json": { "output": "100052", "intermediateSteps": [ "json array" ] }, "pairedItem": { "item": 0 } } ] ] } } ], "Edit Fields2": [ { "startTime": 1747343999666, "executionIndex": 5, "source": [ { "previousNode": "AI Agent2" } ], "hints": [], "executionTime": 3, "executionStatus": "success", "data": { "main": [ [ { "json": { "calculator_called": true, "has_correct_output": "true" }, "pairedItem": { "item": 0 } } ] ] } } ] }, "lastNodeExecuted": "Edit Fields2" }, "executionData": { "contextData": {}, "nodeExecutionStack": [], "metadata": { "OpenAI Chat Model2": [ { "subRun": [ { "node": "OpenAI Chat Model2", "runIndex": 0 }, { "node": "OpenAI Chat Model2", "runIndex": 1 } ] } ], "Calculator2": [ { "subRun": [ { "node": "Calculator2", "runIndex": 0 } ] } ] }, "waitingExecution": {}, "waitingExecutionSource": {} } }, "mode": "cli", "startedAt": "2025-05-15T21:19:57.730Z", "stoppedAt": "2025-05-15T21:19:59.669Z", "status": "running", "finished": true }