Prompt: Detect the language of each text: 1) "El clima está hermoso hoy y las flores están flore..." 2) "Education is the foundation of a prosperous and eq..." 3) "De kennis van vandaag is de basis van de welvaart ..."

{"steps": [{"step_id": "step_1", "tool_name": "detect_language", "arguments": {"text": "El clima está hermoso hoy y las flores están floreciendo."}, "depends_on": [], "output_key": "lang_1"}, {"step_id": "step_2", "tool_name": "detect_language", "arguments": {"text": "Education is the foundation of a prosperous and equitable society."}, "depends_on": [], "output_key": "lang_2"}, {"step_id": "step_3", "tool_name": "detect_language", "arguments": {"text": "De kennis van vandaag is de basis van de welvaart van morgen."}, "depends_on": [], "output_key": "lang_3"}], "final_answer_source": "step_1"}

[{"language": "Spanish", "language_code": "es", "confidence": 1.0}, {"language": "English", "language_code": "en", "confidence": 0.8}, {"language": "Dutch", "language_code": "nl", "confidence": 0.5}]


Prompt: What languages are these texts written in? "Die Straßen der Stadt sind voll mit Menschen die d...", "Bildung ist die Grundlage einer wohlhabenden und g...", "L'intelligence artificielle a révolutionné notre f..."

{"steps": [{"step_id": "step_1", "tool_name": "detect_language", "arguments": {"text": "Die Straßen der Stadt sind voll mit Menschen die das Wochenende genießen."}, "depends_on": [], "output_key": "lang_1"}, {"step_id": "step_2", "tool_name": "detect_language", "arguments": {"text": "Bildung ist die Grundlage einer wohlhabenden und gerechten Gesellschaft."}, "depends_on": [], "output_key": "lang_2"}, {"step_id": "step_3", "tool_name": "detect_language", "arguments": {"text": "L'intelligence artificielle a révolutionné notre façon de travailler et de vivre."}, "depends_on": [], "output_key": "lang_3"}], "final_answer_source": "step_1"}

[{"language": "German", "language_code": "de", "confidence": 0.8}, {"language": "German", "language_code": "de", "confidence": 1.0}, {"language": "French", "language_code": "fr", "confidence": 0.5}]


Prompt: Simultaneously check the weather for Copenhagen and look up ABNB's stock price.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Copenhagen"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "get_stock_price", "arguments": {"symbol": "ABNB"}, "depends_on": [], "output_key": "stock"}], "final_answer_source": "step_1"}

{"weather": {"city": "Copenhagen", "temperature_celsius": 38, "humidity_percent": 58, "wind_speed_kmh": 18, "condition": "foggy", "feels_like_celsius": 36}, "stock": {"symbol": "ABNB", "name": "ABNB Corp.", "price_usd": 306, "change_usd": -4.4, "change_percent": -1.44, "market_cap": "256B"}}


Prompt: Simultaneously check the weather for Prague and look up COIN's stock price.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Prague"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "get_stock_price", "arguments": {"symbol": "COIN"}, "depends_on": [], "output_key": "stock"}], "final_answer_source": "step_1"}

{"weather": {"city": "Prague", "temperature_celsius": 33, "humidity_percent": 83, "wind_speed_kmh": 3, "condition": "foggy", "feels_like_celsius": 31}, "stock": {"symbol": "COIN", "name": "COIN Corp.", "price_usd": 455, "change_usd": 0.5, "change_percent": 0.11, "market_cap": "405B"}}


Prompt: In parallel: weather in Johannesburg and stock price for CRM.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Johannesburg"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "get_stock_price", "arguments": {"symbol": "CRM"}, "depends_on": [], "output_key": "stock"}], "final_answer_source": "step_1"}

{"weather": {"city": "Johannesburg", "temperature_celsius": 5, "humidity_percent": 40, "wind_speed_kmh": 20, "condition": "partly cloudy", "feels_like_celsius": 3}, "stock": {"symbol": "CRM", "name": "CRM Corp.", "price_usd": 439, "change_usd": 8.9, "change_percent": 2.03, "market_cap": "389B"}}


Prompt: Get the word count for three texts simultaneously: "Cybersecurity threats are becoming more sophistica...", "3D printing technology is advancing into new mater...", "Gene editing technologies like CRISPR offer enormo..."

{"steps": [{"step_id": "step_1", "tool_name": "word_count", "arguments": {"text": "Cybersecurity threats are becoming more sophisticated. Organizations must invest in robust security infrastructure and training."}, "depends_on": [], "output_key": "wc_1"}, {"step_id": "step_2", "tool_name": "word_count", "arguments": {"text": "3D printing technology is advancing into new materials and applications. From medical implants to housing construction, possibilities expand."}, "depends_on": [], "output_key": "wc_2"}, {"step_id": "step_3", "tool_name": "word_count", "arguments": {"text": "Gene editing technologies like CRISPR offer enormous potential for treating genetic diseases. Ethical considerations remain important."}, "depends_on": [], "output_key": "wc_3"}], "final_answer_source": "step_1"}

[{"words": 15, "characters": 128, "sentences": 2}, {"words": 18, "characters": 141, "sentences": 2}, {"words": 16, "characters": 134, "sentences": 2}]


Prompt: How many words are in each text? "The gig economy continues to grow, raising questio...", "Urban farming and vertical agriculture are address...", "Advancements in battery technology are driving the..."

{"steps": [{"step_id": "step_1", "tool_name": "word_count", "arguments": {"text": "The gig economy continues to grow, raising questions about worker protections and benefits. Policy makers are debating new frameworks."}, "depends_on": [], "output_key": "wc_1"}, {"step_id": "step_2", "tool_name": "word_count", "arguments": {"text": "Urban farming and vertical agriculture are addressing food security in cities. These innovations reduce transportation costs and carbon emissions."}, "depends_on": [], "output_key": "wc_2"}, {"step_id": "step_3", "tool_name": "word_count", "arguments": {"text": "Advancements in battery technology are driving the electric vehicle revolution. Solid-state batteries promise longer range and faster charging."}, "depends_on": [], "output_key": "wc_3"}], "final_answer_source": "step_1"}

[{"words": 19, "characters": 134, "sentences": 2}, {"words": 19, "characters": 146, "sentences": 2}, {"words": 18, "characters": 143, "sentences": 2}]


Prompt: How many words are in each text? "Urban farming and vertical agriculture are address...", "The education sector is embracing technology-enhan...", "The gig economy continues to grow, raising questio..."

{"steps": [{"step_id": "step_1", "tool_name": "word_count", "arguments": {"text": "Urban farming and vertical agriculture are addressing food security in cities. These innovations reduce transportation costs and carbon emissions."}, "depends_on": [], "output_key": "wc_1"}, {"step_id": "step_2", "tool_name": "word_count", "arguments": {"text": "The education sector is embracing technology-enhanced learning. Online platforms and AI tutors are making education more accessible."}, "depends_on": [], "output_key": "wc_2"}, {"step_id": "step_3", "tool_name": "word_count", "arguments": {"text": "The gig economy continues to grow, raising questions about worker protections and benefits. Policy makers are debating new frameworks."}, "depends_on": [], "output_key": "wc_3"}], "final_answer_source": "step_1"}

[{"words": 19, "characters": 146, "sentences": 2}, {"words": 17, "characters": 132, "sentences": 2}, {"words": 19, "characters": 134, "sentences": 2}]


Prompt: Find all numeric values in these three passages: "Quarterly review with VP of Sales Mark Thompson is...", "Send feedback to feedback@startup.co by March 1st....", "The report was authored by Dr. Lisa Wang from Stan..."

{"steps": [{"step_id": "step_1", "tool_name": "extract_numbers", "arguments": {"text": "Quarterly review with VP of Sales Mark Thompson is on 02/28/2026 in the NYC office."}, "depends_on": [], "output_key": "numbers_1"}, {"step_id": "step_2", "tool_name": "extract_numbers", "arguments": {"text": "Send feedback to feedback@startup.co by March 1st. We are located in Berlin, Germany."}, "depends_on": [], "output_key": "numbers_2"}, {"step_id": "step_3", "tool_name": "extract_numbers", "arguments": {"text": "The report was authored by Dr. Lisa Wang from Stanford University on 05/10/2025."}, "depends_on": [], "output_key": "numbers_3"}], "final_answer_source": "step_1"}


Prompt: Find all numeric values in these three passages: "Tim Berners-Lee invented the World Wide Web in 198...", "Submit travel requests to travel@corp.org at least...", "Alan Turing published his seminal paper on computa..."

{"steps": [{"step_id": "step_1", "tool_name": "extract_numbers", "arguments": {"text": "Tim Berners-Lee invented the World Wide Web in 1989 at CERN in Geneva, Switzerland."}, "depends_on": [], "output_key": "numbers_1"}, {"step_id": "step_2", "tool_name": "extract_numbers", "arguments": {"text": "Submit travel requests to travel@corp.org at least 14 days before departure."}, "depends_on": [], "output_key": "numbers_2"}, {"step_id": "step_3", "tool_name": "extract_numbers", "arguments": {"text": "Alan Turing published his seminal paper on computability in 1936 at Cambridge."}, "depends_on": [], "output_key": "numbers_3"}], "final_answer_source": "step_1"}


Prompt: Find all numeric values in these three passages: "Final exam schedule: email registrar@university.ed...", "New hire orientation: Contact onboarding@company.c...", "The conference keynote by Prof. James Chen is on J..."

{"steps": [{"step_id": "step_1", "tool_name": "extract_numbers", "arguments": {"text": "Final exam schedule: email registrar@university.edu or visit room 301 in Admin Building."}, "depends_on": [], "output_key": "numbers_1"}, {"step_id": "step_2", "tool_name": "extract_numbers", "arguments": {"text": "New hire orientation: Contact onboarding@company.com before your start date of 03/01/2026."}, "depends_on": [], "output_key": "numbers_2"}, {"step_id": "step_3", "tool_name": "extract_numbers", "arguments": {"text": "The conference keynote by Prof. James Chen is on January 20, 2026 at MIT."}, "depends_on": [], "output_key": "numbers_3"}], "final_answer_source": "step_1"}


Prompt: In parallel: weather in Lisbon and current time in Europe/Lisbon.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Lisbon"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "get_current_time", "arguments": {"timezone": "Europe/Lisbon"}, "depends_on": [], "output_key": "time"}], "final_answer_source": "step_1"}

{"weather": {"city": "Lisbon", "temperature_celsius": 16, "humidity_percent": 66, "wind_speed_kmh": 36, "condition": "snowy", "feels_like_celsius": 14}, "current_time": {"datetime": "2026-03-15T14:30:00+00:00", "date": "2026-03-15", "time": "14:30:00", "timezone": "Europe/Lisbon", "day_of_week": "Sunday", "unix_timestamp": 1773585000}}


Prompt: Get the weather in Copenhagen and the current time in Europe/Copenhagen simultaneously.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Copenhagen"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "get_current_time", "arguments": {"timezone": "Europe/Copenhagen"}, "depends_on": [], "output_key": "time"}], "final_answer_source": "step_1"}

{"weather": {"city": "Copenhagen", "temperature_celsius": 38, "humidity_percent": 58, "wind_speed_kmh": 18, "condition": "foggy", "feels_like_celsius": 36}, "current_time": {"datetime": "2026-03-15T15:30:00+01:00", "date": "2026-03-15", "time": "15:30:00", "timezone": "Europe/Copenhagen", "day_of_week": "Sunday", "unix_timestamp": 1773585000}}


Prompt: Check both the weather for Dublin and the current time in Europe/Dublin.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Dublin"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "get_current_time", "arguments": {"timezone": "Europe/Dublin"}, "depends_on": [], "output_key": "time"}], "final_answer_source": "step_1"}

{"weather": {"city": "Dublin", "temperature_celsius": 11, "humidity_percent": 46, "wind_speed_kmh": 6, "condition": "snowy", "feels_like_celsius": 9}, "current_time": {"datetime": "2026-03-15T14:30:00+00:00", "date": "2026-03-15", "time": "14:30:00", "timezone": "Europe/Dublin", "day_of_week": "Sunday", "unix_timestamp": 1773585000}}


Prompt: Count business days for three date ranges simultaneously: 2026-04-01 to 2026-10-31, 2026-01-15 to 2026-07-15, 2025-10-01 to 2026-10-01.

{"steps": [{"step_id": "step_1", "tool_name": "business_days_between", "arguments": {"start_date": "2026-04-01", "end_date": "2026-10-31"}, "depends_on": [], "output_key": "bdays_1"}, {"step_id": "step_2", "tool_name": "business_days_between", "arguments": {"start_date": "2026-01-15", "end_date": "2026-07-15"}, "depends_on": [], "output_key": "bdays_2"}, {"step_id": "step_3", "tool_name": "business_days_between", "arguments": {"start_date": "2025-10-01", "end_date": "2026-10-01"}, "depends_on": [], "output_key": "bdays_3"}], "final_answer_source": "step_1"}


Prompt: Get weather for Jakarta and Montreal, find which is warmer, convert to °F, then email rachel@product.mgmt.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Jakarta"}, "depends_on": [], "output_key": "w1"}, {"step_id": "step_2", "tool_name": "get_weather", "arguments": {"city": "Montreal"}, "depends_on": [], "output_key": "w2"}, {"step_id": "step_3", "tool_name": "unit_convert", "arguments": {"value": 33, "from_unit": "celsius", "to_unit": "fahrenheit"}, "depends_on": ["step_1", "step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "send_email", "arguments": {"to": "rachel@product.mgmt", "subject": "Weather Comparison", "body": "The warmer city is Jakarta at 91.4°F"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "sent", "message_id": "msg_d2bc9390f8e3", "to": "rachel@product.mgmt", "subject": "Weather Comparison", "body_preview": "The warmer city is Jakarta at 91.4°F", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Compare weather in Kuala Lumpur and Warsaw, convert the warmer temp to Fahrenheit, and email the result to rachel@product.mgmt.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Kuala Lumpur"}, "depends_on": [], "output_key": "w1"}, {"step_id": "step_2", "tool_name": "get_weather", "arguments": {"city": "Warsaw"}, "depends_on": [], "output_key": "w2"}, {"step_id": "step_3", "tool_name": "unit_convert", "arguments": {"value": 35, "from_unit": "celsius", "to_unit": "fahrenheit"}, "depends_on": ["step_1", "step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "send_email", "arguments": {"to": "rachel@product.mgmt", "subject": "Weather Comparison", "body": "The warmer city is Warsaw at 95.0°F"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "sent", "message_id": "msg_d2bc9390f8e3", "to": "rachel@product.mgmt", "subject": "Weather Comparison", "body_preview": "The warmer city is Warsaw at 95.0°F", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Compare weather in Athens and Montreal, convert the warmer temp to Fahrenheit, and email the result to james@logistics.ship.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Athens"}, "depends_on": [], "output_key": "w1"}, {"step_id": "step_2", "tool_name": "get_weather", "arguments": {"city": "Montreal"}, "depends_on": [], "output_key": "w2"}, {"step_id": "step_3", "tool_name": "unit_convert", "arguments": {"value": 29, "from_unit": "celsius", "to_unit": "fahrenheit"}, "depends_on": ["step_1", "step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "send_email", "arguments": {"to": "james@logistics.ship", "subject": "Weather Comparison", "body": "The warmer city is Montreal at 84.2°F"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "sent", "message_id": "msg_9b8505bd6b1a", "to": "james@logistics.ship", "subject": "Weather Comparison", "body_preview": "The warmer city is Montreal at 84.2°F", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Load /data/employees.csv, extract numbers from its contents, calculate stats (mean, median, etc.), and save to /data/numbers_report.json.

{"steps": [{"step_id": "step_1", "tool_name": "read_file", "arguments": {"path": "/data/employees.csv"}, "depends_on": [], "output_key": "file_data"}, {"step_id": "step_2", "tool_name": "extract_numbers", "arguments": {"text": "name,department,salary,years\nAlice,Engineering,95000,5\nBob,Marketing,72000,3\nCharlie,Engineering,105000,8\nDiana,Sales,68000,2\nEve,Engineering,88000,4\nFrank,Marketing,76000,6\nGrace,Sales,71000,3\nHenry,Engineering,112000,10"}, "depends_on": ["step_1"], "output_key": "extracted"}, {"step_id": "step_3", "tool_name": "statistical_analysis", "arguments": {"numbers": [950, 0, 5, 720, 0, 3, 105, 0, 8, 680, 0, 2, 880, 0, 4, 760, 0, 6, 710, 0, 3, 112, 0, 10]}, "depends_on": ["step_2"], "output_key": "stats"}, {"step_id": "step_4", "tool_name": "write_file", "arguments": {"path": "/data/numbers_report.json", "content": "{\"source_file\": \"/data/employees.csv\", \"numbers\": [950, 0, 5, 720, 0, 3, 105, 0, 8, 680, 0, 2, 880, 0, 4, 760, 0, 6, 710, 0, 3, 112, 0, 10], \"statistics\": {\"count\": 24, \"mean\": 206.5833, \"median\": 4.5, \"min\": 0.0, \"max\": 950.0, \"sum\": 4958.0, \"stdev\": 345.0893}}"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "written", "path": "/data/numbers_report.json", "size": 262, "type": "application/json", "overwrote_existing": false}


Prompt: Open /data/report.txt, pull out numeric values, run statistical analysis, and write the output to /data/stats_output.json.

{"steps": [{"step_id": "step_1", "tool_name": "read_file", "arguments": {"path": "/data/report.txt"}, "depends_on": [], "output_key": "file_data"}, {"step_id": "step_2", "tool_name": "extract_numbers", "arguments": {"text": "Q1 2026 Sales Report\n\nTotal revenue: $2.4M\nGrowth: 15% YoY\nTop product: Enterprise Plan ($1.2M)\nNew customers: 340\nChurn rate: 2.1%\n\nKey highlights:\n- Enterprise segment grew 28%\n- APAC region exceeded targets by 12%\n- Customer satisfaction score: 4.6/5.0"}, "depends_on": ["step_1"], "output_key": "extracted"}, {"step_id": "step_3", "tool_name": "statistical_analysis", "arguments": {"numbers": [1, 202, 6, 2.4, 15, 1.2, 340, 2.1, 28, 12, 4.6, 5]}, "depends_on": ["step_2"], "output_key": "stats"}, {"step_id": "step_4", "tool_name": "write_file", "arguments": {"path": "/data/stats_output.json", "content": "{\"source_file\": \"/data/report.txt\", \"numbers\": [1, 202, 6, 2.4, 15, 1.2, 340, 2.1, 28, 12, 4.6, 5], \"statistics\": {\"count\": 12, \"mean\": 51.6083, \"median\": 5.5, \"min\": 1.0, \"max\": 340.0, \"sum\": 619.3, \"stdev\": 106.8945}}"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "written", "path": "/data/stats_output.json", "size": 219, "type": "application/json", "overwrote_existing": false}


Prompt: Read the file at /data/employees.csv, extract all numbers, compute statistics, and save the results to /data/numbers_report.json.

{"steps": [{"step_id": "step_1", "tool_name": "read_file", "arguments": {"path": "/data/employees.csv"}, "depends_on": [], "output_key": "file_data"}, {"step_id": "step_2", "tool_name": "extract_numbers", "arguments": {"text": "name,department,salary,years\nAlice,Engineering,95000,5\nBob,Marketing,72000,3\nCharlie,Engineering,105000,8\nDiana,Sales,68000,2\nEve,Engineering,88000,4\nFrank,Marketing,76000,6\nGrace,Sales,71000,3\nHenry,Engineering,112000,10"}, "depends_on": ["step_1"], "output_key": "extracted"}, {"step_id": "step_3", "tool_name": "statistical_analysis", "arguments": {"numbers": [950, 0, 5, 720, 0, 3, 105, 0, 8, 680, 0, 2, 880, 0, 4, 760, 0, 6, 710, 0, 3, 112, 0, 10]}, "depends_on": ["step_2"], "output_key": "stats"}, {"step_id": "step_4", "tool_name": "write_file", "arguments": {"path": "/data/numbers_report.json", "content": "{\"source_file\": \"/data/employees.csv\", \"numbers\": [950, 0, 5, 720, 0, 3, 105, 0, 8, 680, 0, 2, 880, 0, 4, 760, 0, 6, 710, 0, 3, 112, 0, 10], \"statistics\": {\"count\": 24, \"mean\": 206.5833, \"median\": 4.5, \"min\": 0.0, \"max\": 950.0, \"sum\": 4958.0, \"stdev\": 345.0893}}"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "written", "path": "/data/numbers_report.json", "size": 262, "type": "application/json", "overwrote_existing": true}


Prompt: Search for "circular economy business models", extract keywords from the results, search again using the top keyword, and summarize the final results.

{"steps": [{"step_id": "step_1", "tool_name": "web_search", "arguments": {"query": "circular economy business models"}, "depends_on": [], "output_key": "results1"}, {"step_id": "step_2", "tool_name": "keyword_extract", "arguments": {"text": "[{\"title\": \"Circular Economy Business Models \\u2014 Wikipedia Overview\", \"url\": \"https://github.com/article/46595\", \"snippet\": \"A comprehensive overview of circular economy business models covering key concepts, recent developments, and practical applications.\", \"source\": \"Wikipedia\"}, {\"title\": \"Circular Economy Business Models \\u2014 Forum Analysis\", \"url\": \"https://reuters.com/article/97239\", \"snippet\": \"Comparing different approaches to circular economy business models \\u2014 strengths, limi"}, "depends_on": ["step_1"], "output_key": "keywords"}, {"step_id": "step_3", "tool_name": "web_search", "arguments": {"query": "circular"}, "depends_on": ["step_2"], "output_key": "results2"}, {"step_id": "step_4", "tool_name": "summarize_text", "arguments": {"text": "[{\"title\": \"Circular \\u2014 News Overview\", \"url\": \"https://stackoverflow.com/article/91586\", \"snippet\": \"Latest research findings on circular from leading institutions and peer-reviewed publications.\", \"source\": \"News\"}, {\"title\": \"Circular \\u2014 Academic Analysis\", \"url\": \"https://sciencedirect.com/article/52193\", \"snippet\": \"Expert guide to circular with detailed explanations, examples, and best practices for practitioners.\", \"source\": \"Academic\"}, {\"title\": \"Circular \\u2014 News Guide\", \"ur"}, "depends_on": ["step_3"], "output_key": "summary"}], "final_answer_source": "step_4"}

{"original_length": 500, "summary": "[{\"title\": \"Circular \\u2014 News Overview\", \"url\": \"https://stackoverflow.com/article/91586\", \"snippet\": \"Latest research findings on circular from leading institutions and peer-reviewed publications.\", \"source\": \"News\"}, {\"title\": \"Circular \\u2014 Academic Analysis\", \"url\": \"https://sciencedirect.com/article/52193\", \"snippet\": \"Expert guide to circular with detailed explanations, examples, and best practices for practitioners.\", \"source\": \"Academic\"}, {\"title\": \"Circular \\u2014 News Guide\", \"ur", "summary_length": 500, "sentences_used": 1, "compression_ratio": 1.0}


Prompt: Do a web search for "digital twin technology", find the most important keywords, perform a follow-up search with the top keyword, then summarize.

{"steps": [{"step_id": "step_1", "tool_name": "web_search", "arguments": {"query": "digital twin technology"}, "depends_on": [], "output_key": "results1"}, {"step_id": "step_2", "tool_name": "keyword_extract", "arguments": {"text": "[{\"title\": \"Digital Twin Technology \\u2014 Wikipedia Overview\", \"url\": \"https://en.wikipedia.org/article/40290\", \"snippet\": \"A comprehensive overview of digital twin technology covering key concepts, recent developments, and practical applications.\", \"source\": \"Wikipedia\"}, {\"title\": \"Digital Twin Technology \\u2014 Academic Analysis\", \"url\": \"https://sciencedirect.com/article/35383\", \"snippet\": \"Expert guide to digital twin technology with detailed explanations, examples, and best practices for "}, "depends_on": ["step_1"], "output_key": "keywords"}, {"step_id": "step_3", "tool_name": "web_search", "arguments": {"query": "digital"}, "depends_on": ["step_2"], "output_key": "results2"}, {"step_id": "step_4", "tool_name": "summarize_text", "arguments": {"text": "[{\"title\": \"Digital \\u2014 Academic Overview\", \"url\": \"https://bbc.com/article/73418\", \"snippet\": \"Expert guide to digital with detailed explanations, examples, and best practices for practitioners.\", \"source\": \"Academic\"}, {\"title\": \"Digital \\u2014 Blog Analysis\", \"url\": \"https://nytimes.com/article/47637\", \"snippet\": \"digital: analysis of current trends, methodologies, and future directions in the field.\", \"source\": \"Blog\"}, {\"title\": \"Digital \\u2014 Forum Guide\", \"url\": \"https://medium.com/ar"}, "depends_on": ["step_3"], "output_key": "summary"}], "final_answer_source": "step_4"}

{"original_length": 500, "summary": "[{\"title\": \"Digital \\u2014 Academic Overview\", \"url\": \"https://bbc.com/article/73418\", \"snippet\": \"Expert guide to digital with detailed explanations, examples, and best practices for practitioners.\", \"source\": \"Academic\"}, {\"title\": \"Digital \\u2014 Blog Analysis\", \"url\": \"https://nytimes.com/article/47637\", \"snippet\": \"digital: analysis of current trends, methodologies, and future directions in the field.\", \"source\": \"Blog\"}, {\"title\": \"Digital \\u2014 Forum Guide\", \"url\": \"https://medium.com/ar", "summary_length": 500, "sentences_used": 1, "compression_ratio": 1.0}


Prompt: Do a web search for "remote work productivity tools", find the most important keywords, perform a follow-up search with the top keyword, then summarize.

{"steps": [{"step_id": "step_1", "tool_name": "web_search", "arguments": {"query": "remote work productivity tools"}, "depends_on": [], "output_key": "results1"}, {"step_id": "step_2", "tool_name": "keyword_extract", "arguments": {"text": "[{\"title\": \"Remote Work Productivity Tools \\u2014 Blog Overview\", \"url\": \"https://nytimes.com/article/33047\", \"snippet\": \"remote work productivity tools: analysis of current trends, methodologies, and future directions in the field.\", \"source\": \"Blog\"}, {\"title\": \"Remote Work Productivity Tools \\u2014 Academic Analysis\", \"url\": \"https://bbc.com/article/88688\", \"snippet\": \"Expert guide to remote work productivity tools with detailed explanations, examples, and best practices for practitioners.\", "}, "depends_on": ["step_1"], "output_key": "keywords"}, {"step_id": "step_3", "tool_name": "web_search", "arguments": {"query": "remote"}, "depends_on": ["step_2"], "output_key": "results2"}, {"step_id": "step_4", "tool_name": "summarize_text", "arguments": {"text": "[{\"title\": \"Remote \\u2014 Wikipedia Overview\", \"url\": \"https://github.com/article/24535\", \"snippet\": \"A comprehensive overview of remote covering key concepts, recent developments, and practical applications.\", \"source\": \"Wikipedia\"}, {\"title\": \"Remote \\u2014 Blog Analysis\", \"url\": \"https://nature.com/article/48532\", \"snippet\": \"remote: analysis of current trends, methodologies, and future directions in the field.\", \"source\": \"Blog\"}, {\"title\": \"Remote \\u2014 News Guide\", \"url\": \"https://stackov"}, "depends_on": ["step_3"], "output_key": "summary"}], "final_answer_source": "step_4"}

{"original_length": 500, "summary": "[{\"title\": \"Remote \\u2014 Wikipedia Overview\", \"url\": \"https://github.com/article/24535\", \"snippet\": \"A comprehensive overview of remote covering key concepts, recent developments, and practical applications.\", \"source\": \"Wikipedia\"}, {\"title\": \"Remote \\u2014 Blog Analysis\", \"url\": \"https://nature.com/article/48532\", \"snippet\": \"remote: analysis of current trends, methodologies, and future directions in the field.\", \"source\": \"Blog\"}, {\"title\": \"Remote \\u2014 News Guide\", \"url\": \"https://stackov", "summary_length": 500, "sentences_used": 1, "compression_ratio": 1.0}


Prompt: Detect the language of the text "The Internet of Things connects billions of devices worldwid...", translate it to English, summarize it, and email the summary to peter@support.help.

{"steps": [{"step_id": "step_1", "tool_name": "detect_language", "arguments": {"text": "The Internet of Things connects billions of devices worldwide. Smart home technology is becoming standard in new construction."}, "depends_on": [], "output_key": "detected"}, {"step_id": "step_2", "tool_name": "translate_text", "arguments": {"text": "The Internet of Things connects billions of devices worldwide. Smart home technology is becoming standard in new construction.", "from_language": "en", "to_language": "en"}, "depends_on": ["step_1"], "output_key": "translated"}, {"step_id": "step_3", "tool_name": "summarize_text", "arguments": {"text": "The Internet of Things connects billions of devices worldwide. Smart home technology is becoming standard in new construction. (English translation)"}, "depends_on": ["step_2"], "output_key": "summary"}, {"step_id": "step_4", "tool_name": "send_email", "arguments": {"to": "peter@support.help", "subject": "Translated Summary", "body": "The Internet of Things connects billions of devices worldwide. Smart home technology is becoming standard in new construction. (English translation)"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "sent", "message_id": "msg_3ae88fff7156", "to": "peter@support.help", "subject": "Translated Summary", "body_preview": "The Internet of Things connects billions of devices worldwide. Smart home technology is becoming sta...", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Figure out what language "Autonomous vehicles are getting closer to widespread deploym..." is in, translate to English, create a summary, then send it to sam@operations.ops.

{"steps": [{"step_id": "step_1", "tool_name": "detect_language", "arguments": {"text": "Autonomous vehicles are getting closer to widespread deployment. Safety regulations and infrastructure updates are key challenges."}, "depends_on": [], "output_key": "detected"}, {"step_id": "step_2", "tool_name": "translate_text", "arguments": {"text": "Autonomous vehicles are getting closer to widespread deployment. Safety regulations and infrastructure updates are key challenges.", "from_language": "en", "to_language": "en"}, "depends_on": ["step_1"], "output_key": "translated"}, {"step_id": "step_3", "tool_name": "summarize_text", "arguments": {"text": "Autonomous vehicles are getting closer to widespread deployment. Safety regulations and infrastructure updates are key challenges. (English translation)"}, "depends_on": ["step_2"], "output_key": "summary"}, {"step_id": "step_4", "tool_name": "send_email", "arguments": {"to": "sam@operations.ops", "subject": "Translated Summary", "body": "Autonomous vehicles are getting closer to widespread deployment. Safety regulations and infrastructure updates are key challenges. (English translation)"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "sent", "message_id": "msg_3a91d3fa4314", "to": "sam@operations.ops", "subject": "Translated Summary", "body_preview": "Autonomous vehicles are getting closer to widespread deployment. Safety regulations and infrastructu...", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Figure out what language "3D printing technology is advancing into new materials and a..." is in, translate to English, create a summary, then send it to victor@infra.cloud.

{"steps": [{"step_id": "step_1", "tool_name": "detect_language", "arguments": {"text": "3D printing technology is advancing into new materials and applications. From medical implants to housing construction, possibilities expand."}, "depends_on": [], "output_key": "detected"}, {"step_id": "step_2", "tool_name": "translate_text", "arguments": {"text": "3D printing technology is advancing into new materials and applications. From medical implants to housing construction, possibilities expand.", "from_language": "en", "to_language": "en"}, "depends_on": ["step_1"], "output_key": "translated"}, {"step_id": "step_3", "tool_name": "summarize_text", "arguments": {"text": "3D printing technology is advancing into new materials and applications. From medical implants to housing construction, possibilities expand. (English translation)"}, "depends_on": ["step_2"], "output_key": "summary"}, {"step_id": "step_4", "tool_name": "send_email", "arguments": {"to": "victor@infra.cloud", "subject": "Translated Summary", "body": "3D printing technology is advancing into new materials and applications. From medical implants to housing construction, possibilities expand. (English translation)"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "sent", "message_id": "msg_4dde26d85d27", "to": "victor@infra.cloud", "subject": "Translated Summary", "body_preview": "3D printing technology is advancing into new materials and applications. From medical implants to ho...", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Look up BAC and ZM stocks, find the percentage difference, and notify about the comparison.

{"steps": [{"step_id": "step_1", "tool_name": "get_stock_price", "arguments": {"symbol": "BAC"}, "depends_on": [], "output_key": "s1"}, {"step_id": "step_2", "tool_name": "get_stock_price", "arguments": {"symbol": "ZM"}, "depends_on": [], "output_key": "s2"}, {"step_id": "step_3", "tool_name": "percentage_change", "arguments": {"old_value": 209, "new_value": 226}, "depends_on": ["step_1", "step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "create_notification", "arguments": {"title": "Stock Comparison", "message": "ZM is 8.1% increase compared to BAC", "priority": "medium"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "created", "notification_id": "notif_787053e1eddf", "title": "Stock Comparison", "priority": "medium", "timestamp": "2026-02-22T12:00:00"}


Prompt: Get the prices of SHOP and JPM, compute the percent change between them, and create a notification with the result.

{"steps": [{"step_id": "step_1", "tool_name": "get_stock_price", "arguments": {"symbol": "SHOP"}, "depends_on": [], "output_key": "s1"}, {"step_id": "step_2", "tool_name": "get_stock_price", "arguments": {"symbol": "JPM"}, "depends_on": [], "output_key": "s2"}, {"step_id": "step_3", "tool_name": "percentage_change", "arguments": {"old_value": 71, "new_value": 79}, "depends_on": ["step_1", "step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "create_notification", "arguments": {"title": "Stock Comparison", "message": "JPM is 11.3% increase compared to SHOP", "priority": "medium"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "created", "notification_id": "notif_787053e1eddf", "title": "Stock Comparison", "priority": "medium", "timestamp": "2026-02-22T12:00:00"}


Prompt: Get the prices of PINS and MA, compute the percent change between them, and create a notification with the result.

{"steps": [{"step_id": "step_1", "tool_name": "get_stock_price", "arguments": {"symbol": "PINS"}, "depends_on": [], "output_key": "s1"}, {"step_id": "step_2", "tool_name": "get_stock_price", "arguments": {"symbol": "MA"}, "depends_on": [], "output_key": "s2"}, {"step_id": "step_3", "tool_name": "percentage_change", "arguments": {"old_value": 236, "new_value": 148}, "depends_on": ["step_1", "step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "create_notification", "arguments": {"title": "Stock Comparison", "message": "MA is -37.3% decrease compared to PINS", "priority": "medium"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "created", "notification_id": "notif_787053e1eddf", "title": "Stock Comparison", "priority": "medium", "timestamp": "2026-02-22T12:00:00"}


Prompt: Look up Barcelona's weather, create a Product Roadmap event on 2026-09-12 08:30, and set a reminder about the event.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Barcelona"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "create_calendar_event", "arguments": {"title": "Product Roadmap (Outdoor - cloudy)", "date": "2026-09-12 08:30", "duration_minutes": 60}, "depends_on": ["step_1"], "output_key": "event"}, {"step_id": "step_3", "tool_name": "set_reminder", "arguments": {"message": "Reminder: Product Roadmap in Barcelona. Weather in Barcelona: 15°C, cloudy", "remind_at": "2026-09-12 08:30"}, "depends_on": ["step_2"], "output_key": "reminder"}, {"step_id": "step_4", "tool_name": "word_count", "arguments": {"text": "Weather in Barcelona: 15°C, cloudy"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_3"}

{"reminder_id": "rem_280fc563ec56", "message": "Reminder: Product Roadmap in Barcelona. Weather in Barcelona: 15°C, cloudy", "remind_at": "2026-09-12 08:30", "confirmation": "Reminder set for 2026-09-12 08:30: 'Reminder: Product Roadmap in Barcelona. Weather in Barcelona: 15°C, cloudy'."}


Prompt: Look up Toronto's weather, create a Data Pipeline Review event on 2026-04-15 10:00, and set a reminder about the event.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Toronto"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "create_calendar_event", "arguments": {"title": "Data Pipeline Review (Outdoor - cloudy)", "date": "2026-04-15 10:00", "duration_minutes": 60}, "depends_on": ["step_1"], "output_key": "event"}, {"step_id": "step_3", "tool_name": "set_reminder", "arguments": {"message": "Reminder: Data Pipeline Review in Toronto. Weather in Toronto: 4°C, cloudy", "remind_at": "2026-04-15 10:00"}, "depends_on": ["step_2"], "output_key": "reminder"}, {"step_id": "step_4", "tool_name": "word_count", "arguments": {"text": "Weather in Toronto: 4°C, cloudy"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_3"}

{"reminder_id": "rem_72d622d0e9bd", "message": "Reminder: Data Pipeline Review in Toronto. Weather in Toronto: 4°C, cloudy", "remind_at": "2026-04-15 10:00", "confirmation": "Reminder set for 2026-04-15 10:00: 'Reminder: Data Pipeline Review in Toronto. Weather in Toronto: 4°C, cloudy'."}


Prompt: Get the weather forecast for Oslo, schedule an outdoor Budget Review for 2026-08-05 16:00, and set a reminder for it.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Oslo"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "create_calendar_event", "arguments": {"title": "Budget Review (Outdoor - rainy)", "date": "2026-08-05 16:00", "duration_minutes": 60}, "depends_on": ["step_1"], "output_key": "event"}, {"step_id": "step_3", "tool_name": "set_reminder", "arguments": {"message": "Reminder: Budget Review in Oslo. Weather in Oslo: 32°C, rainy", "remind_at": "2026-08-05 16:00"}, "depends_on": ["step_2"], "output_key": "reminder"}, {"step_id": "step_4", "tool_name": "word_count", "arguments": {"text": "Weather in Oslo: 32°C, rainy"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_3"}

{"reminder_id": "rem_c33e1cf8494c", "message": "Reminder: Budget Review in Oslo. Weather in Oslo: 32°C, rainy", "remind_at": "2026-08-05 16:00", "confirmation": "Reminder set for 2026-08-05 16:00: 'Reminder: Budget Review in Oslo. Weather in Oslo: 32°C, rainy'."}


Prompt: Pull entities from two texts simultaneously, mask PII in the merged entity list, and save to /data/pii_cleaned.txt.

{"steps": [{"step_id": "step_1", "tool_name": "extract_entities", "arguments": {"text": "Alan Turing published his seminal paper on computability in 1936 at Cambridge."}, "depends_on": [], "output_key": "ent1"}, {"step_id": "step_2", "tool_name": "extract_entities", "arguments": {"text": "Isaac Newton published Principia Mathematica in 1687 while at Cambridge University."}, "depends_on": [], "output_key": "ent2"}, {"step_id": "step_3", "tool_name": "mask_pii", "arguments": {"text": "Alan Turing published his seminal paper on computability in 1936 at Cambridge.\n---\nIsaac Newton published Principia Mathematica in 1687 while at Cambridge University."}, "depends_on": ["step_1", "step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "write_file", "arguments": {"path": "/data/pii_cleaned.txt", "content": "{\"entities_text1\": [{\"text\": \"Alan Turing\", \"type\": \"capitalized_phrase\"}], \"entities_text2\": [{\"text\": \"Isaac Newton\", \"type\": \"capitalized_phrase\"}, {\"text\": \"Principia Mathematica\", \"type\": \"capitalized_phrase\"}, {\"text\": \"Cambridge University\", \"type\": \"capitalized_phrase\"}], \"masked_text\": \"Alan Turing published his seminal paper on computability in 1936 at Cambridge.\\n---\\nIsaac Newton published Principia Mathematica in 1687 while at Cambridge University.\"}"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "written", "path": "/data/pii_cleaned.txt", "size": 467, "type": "text/plain", "overwrote_existing": false}


Prompt: Find named entities in two different texts, then mask personally identifiable information from the combined text and write it to /data/safe_entities.txt.

{"steps": [{"step_id": "step_1", "tool_name": "extract_entities", "arguments": {"text": "The conference keynote by Prof. James Chen is on January 20, 2026 at MIT."}, "depends_on": [], "output_key": "ent1"}, {"step_id": "step_2", "tool_name": "extract_entities", "arguments": {"text": "Galileo Galilei made his first telescope observations in 1609 in Padua, Italy."}, "depends_on": [], "output_key": "ent2"}, {"step_id": "step_3", "tool_name": "mask_pii", "arguments": {"text": "The conference keynote by Prof. James Chen is on January 20, 2026 at MIT.\n---\nGalileo Galilei made his first telescope observations in 1609 in Padua, Italy."}, "depends_on": ["step_1", "step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "write_file", "arguments": {"path": "/data/safe_entities.txt", "content": "{\"entities_text1\": [{\"text\": \"January 20, 2026\", \"type\": \"date\"}, {\"text\": \"20\", \"type\": \"number\"}, {\"text\": \"James Chen\", \"type\": \"capitalized_phrase\"}], \"entities_text2\": [{\"text\": \"Galileo Galilei\", \"type\": \"capitalized_phrase\"}], \"masked_text\": \"The conference keynote by Prof. James Chen is on January 20, 2026 at MIT.\\n---\\nGalileo Galilei made his first telescope observations in 1609 in Padua, Italy.\"}"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "written", "path": "/data/safe_entities.txt", "size": 410, "type": "text/plain", "overwrote_existing": false}


Prompt: Find named entities in two different texts, then mask personally identifiable information from the combined text and write it to /data/pii_cleaned.txt.

{"steps": [{"step_id": "step_1", "tool_name": "extract_entities", "arguments": {"text": "Final exam schedule: email registrar@university.edu or visit room 301 in Admin Building."}, "depends_on": [], "output_key": "ent1"}, {"step_id": "step_2", "tool_name": "extract_entities", "arguments": {"text": "Reach out to support@techcorp.io for any issues. Our office is in San Francisco, CA."}, "depends_on": [], "output_key": "ent2"}, {"step_id": "step_3", "tool_name": "mask_pii", "arguments": {"text": "Final exam schedule: email registrar@university.edu or visit room 301 in Admin Building.\n---\nReach out to support@techcorp.io for any issues. Our office is in San Francisco, CA."}, "depends_on": ["step_1", "step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "write_file", "arguments": {"path": "/data/pii_cleaned.txt", "content": "{\"entities_text1\": [{\"text\": \"registrar@university.edu\", \"type\": \"email\"}, {\"text\": \"301\", \"type\": \"number\"}, {\"text\": \"Admin Building\", \"type\": \"capitalized_phrase\"}], \"entities_text2\": [{\"text\": \"support@techcorp.io\", \"type\": \"email\"}, {\"text\": \"San Francisco\", \"type\": \"capitalized_phrase\"}], \"masked_text\": \"Final exam schedule: email [EMAIL] or visit room 301 in Admin Building.\\n---\\nReach out to [EMAIL] for any issues. Our office is in San Francisco, CA.\"}"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "written", "path": "/data/pii_cleaned.txt", "size": 464, "type": "text/plain", "overwrote_existing": true}


Prompt: Read /data/report.txt and /data/config.json in parallel, count the words in each, calculate the percentage difference in word counts, and log the result.

{"steps": [{"step_id": "step_1", "tool_name": "read_file", "arguments": {"path": "/data/report.txt"}, "depends_on": [], "output_key": "f1"}, {"step_id": "step_2", "tool_name": "read_file", "arguments": {"path": "/data/config.json"}, "depends_on": [], "output_key": "f2"}, {"step_id": "step_3", "tool_name": "word_count", "arguments": {"text": "Q1 2026 Sales Report\n\nTotal revenue: $2.4M\nGrowth: 15% YoY\nTop product: Enterprise Plan ($1.2M)\nNew customers: 340\nChurn rate: 2.1%\n\nKey highlights:\n- Enterprise segment grew 28%\n- APAC region exceeded targets by 12%\n- Customer satisfaction score: 4.6/5.0"}, "depends_on": ["step_1"], "output_key": "wc1"}, {"step_id": "step_4", "tool_name": "word_count", "arguments": {"text": "{\"app_name\": \"DataPipeline\", \"version\": \"2.1.0\", \"max_workers\": 4, \"timeout_seconds\": 30, \"features\": {\"caching\": true, \"logging\": true, \"metrics\": false}}"}, "depends_on": ["step_2"], "output_key": "wc2"}, {"step_id": "step_5", "tool_name": "percentage_change", "arguments": {"old_value": 40, "new_value": 15}, "depends_on": ["step_3", "step_4"], "output_key": null}, {"step_id": "step_6", "tool_name": "log_event", "arguments": {"event_type": "word_count_comparison", "message": "Word count comparison: /data/report.txt has 40 words, /data/config.json has 15 words. Change: -62.5%", "severity": "info"}, "depends_on": ["step_5"], "output_key": null}], "final_answer_source": "step_6"}

{"log_id": "log_ff86bfc6ed08", "event_type": "word_count_comparison", "message": "Word count comparison: /data/report.txt has 40 words, /data/config.json has 15 words. Change: -62.5%", "severity": "info", "timestamp": "2026-02-22T12:00:00"}


Prompt: Read /data/config.json and /data/employees.csv in parallel, count the words in each, calculate the percentage difference in word counts, and log the result.

{"steps": [{"step_id": "step_1", "tool_name": "read_file", "arguments": {"path": "/data/config.json"}, "depends_on": [], "output_key": "f1"}, {"step_id": "step_2", "tool_name": "read_file", "arguments": {"path": "/data/employees.csv"}, "depends_on": [], "output_key": "f2"}, {"step_id": "step_3", "tool_name": "word_count", "arguments": {"text": "{\"app_name\": \"DataPipeline\", \"version\": \"2.1.0\", \"max_workers\": 4, \"timeout_seconds\": 30, \"features\": {\"caching\": true, \"logging\": true, \"metrics\": false}}"}, "depends_on": ["step_1"], "output_key": "wc1"}, {"step_id": "step_4", "tool_name": "word_count", "arguments": {"text": "name,department,salary,years\nAlice,Engineering,95000,5\nBob,Marketing,72000,3\nCharlie,Engineering,105000,8\nDiana,Sales,68000,2\nEve,Engineering,88000,4\nFrank,Marketing,76000,6\nGrace,Sales,71000,3\nHenry,Engineering,112000,10"}, "depends_on": ["step_2"], "output_key": "wc2"}, {"step_id": "step_5", "tool_name": "percentage_change", "arguments": {"old_value": 15, "new_value": 9}, "depends_on": ["step_3", "step_4"], "output_key": null}, {"step_id": "step_6", "tool_name": "log_event", "arguments": {"event_type": "word_count_comparison", "message": "Word count comparison: /data/config.json has 15 words, /data/employees.csv has 9 words. Change: -40.0%", "severity": "info"}, "depends_on": ["step_5"], "output_key": null}], "final_answer_source": "step_6"}

{"log_id": "log_37ee7fc91fca", "event_type": "word_count_comparison", "message": "Word count comparison: /data/config.json has 15 words, /data/employees.csv has 9 words. Change: -40.0%", "severity": "info", "timestamp": "2026-02-22T12:00:00"}


Prompt: Open files /data/employees.csv and /data/report.txt simultaneously, get word counts for both, compute the percent change, and log it.

{"steps": [{"step_id": "step_1", "tool_name": "read_file", "arguments": {"path": "/data/employees.csv"}, "depends_on": [], "output_key": "f1"}, {"step_id": "step_2", "tool_name": "read_file", "arguments": {"path": "/data/report.txt"}, "depends_on": [], "output_key": "f2"}, {"step_id": "step_3", "tool_name": "word_count", "arguments": {"text": "name,department,salary,years\nAlice,Engineering,95000,5\nBob,Marketing,72000,3\nCharlie,Engineering,105000,8\nDiana,Sales,68000,2\nEve,Engineering,88000,4\nFrank,Marketing,76000,6\nGrace,Sales,71000,3\nHenry,Engineering,112000,10"}, "depends_on": ["step_1"], "output_key": "wc1"}, {"step_id": "step_4", "tool_name": "word_count", "arguments": {"text": "Q1 2026 Sales Report\n\nTotal revenue: $2.4M\nGrowth: 15% YoY\nTop product: Enterprise Plan ($1.2M)\nNew customers: 340\nChurn rate: 2.1%\n\nKey highlights:\n- Enterprise segment grew 28%\n- APAC region exceeded targets by 12%\n- Customer satisfaction score: 4.6/5.0"}, "depends_on": ["step_2"], "output_key": "wc2"}, {"step_id": "step_5", "tool_name": "percentage_change", "arguments": {"old_value": 9, "new_value": 40}, "depends_on": ["step_3", "step_4"], "output_key": null}, {"step_id": "step_6", "tool_name": "log_event", "arguments": {"event_type": "word_count_comparison", "message": "Word count comparison: /data/employees.csv has 9 words, /data/report.txt has 40 words. Change: 344.4%", "severity": "info"}, "depends_on": ["step_5"], "output_key": null}], "final_answer_source": "step_6"}

{"log_id": "log_9d0c972b6e76", "event_type": "word_count_comparison", "message": "Word count comparison: /data/employees.csv has 9 words, /data/report.txt has 40 words. Change: 344.4%", "severity": "info", "timestamp": "2026-02-22T12:00:00"}


Prompt: Web search "food technology innovations", run entity extraction and sentiment analysis on the results at the same time, create a report, and email iris@media.news.

{"steps": [{"step_id": "step_1", "tool_name": "web_search", "arguments": {"query": "food technology innovations"}, "depends_on": [], "output_key": "results"}, {"step_id": "step_2", "tool_name": "extract_entities", "arguments": {"text": "[{\"title\": \"Food Technology Innovations \\u2014 Forum Overview\", \"url\": \"https://medium.com/article/24314\", \"snippet\": \"Comparing different approaches to food technology innovations \\u2014 strengths, limitations, and real-world performance.\", \"source\": \"Forum\"}, {\"title\": \"Food Technology Innovations \\u2014 Wikipedia Analysis\", \"url\": \"https://en.wikipedia.org/article/89060\", \"snippet\": \"A comprehensive overview of food technology innovations covering key concepts, recent developments, and practi"}, "depends_on": ["step_1"], "output_key": "entities"}, {"step_id": "step_3", "tool_name": "sentiment_analysis", "arguments": {"text": "[{\"title\": \"Food Technology Innovations \\u2014 Forum Overview\", \"url\": \"https://medium.com/article/24314\", \"snippet\": \"Comparing different approaches to food technology innovations \\u2014 strengths, limitations, and real-world performance.\", \"source\": \"Forum\"}, {\"title\": \"Food Technology Innovations \\u2014 Wikipedia Analysis\", \"url\": \"https://en.wikipedia.org/article/89060\", \"snippet\": \"A comprehensive overview of food technology innovations covering key concepts, recent developments, and practi"}, "depends_on": ["step_1"], "output_key": "sentiment"}, {"step_id": "step_4", "tool_name": "generate_report", "arguments": {"title": "Analysis Report: food technology innovations", "data": "{\"query\": \"food technology innovations\", \"entities_found\": 5, \"top_entities\": [\"https://medium.com/article/24314\", \"https://en.wikipedia.org/article/89060\", \"Food Technology Innovations\", \"Forum Overview\", \"Wikipedia Analysis\"], \"sentiment\": \"neutral\", \"sentiment_confidence\": 0.5}", "format": "text"}, "depends_on": ["step_2", "step_3"], "output_key": "report"}, {"step_id": "step_5", "tool_name": "send_email", "arguments": {"to": "iris@media.news", "subject": "Analysis: food technology innovations", "body": "ANALYSIS REPORT: FOOD TECHNOLOGY INNOVATIONS\n============================================\n\nSummary:\n  query: food technology innovations\n  entities_found: 5\n  top_entities: ['https://medium.com/article/24314', 'https://en.wikipedia.org/article/89060', 'Food Technology Innovations', 'Forum Overview', 'Wikipedia Analysis']\n  sentiment: neutral\n  sentiment_confidence: 0.5\n\nGenerated: 2026-02-22T12:00:00"}, "depends_on": ["step_4"], "output_key": null}], "final_answer_source": "step_5"}

{"status": "sent", "message_id": "msg_20b13cfb9b25", "to": "iris@media.news", "subject": "Analysis: food technology innovations", "body_preview": "ANALYSIS REPORT: FOOD TECHNOLOGY INNOVATIONS\n============================================\n\nSummary:\n...", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Search for "artificial intelligence in healthcare", extract entities and analyze sentiment in parallel, generate a report, and email it to victor@infra.cloud.

{"steps": [{"step_id": "step_1", "tool_name": "web_search", "arguments": {"query": "artificial intelligence in healthcare"}, "depends_on": [], "output_key": "results"}, {"step_id": "step_2", "tool_name": "extract_entities", "arguments": {"text": "[{\"title\": \"Artificial Intelligence In Healthcare \\u2014 Academic Overview\", \"url\": \"https://bbc.com/article/30658\", \"snippet\": \"Expert guide to artificial intelligence in healthcare with detailed explanations, examples, and best practices for practitioners.\", \"source\": \"Academic\"}, {\"title\": \"Artificial Intelligence In Healthcare \\u2014 Forum Analysis\", \"url\": \"https://reuters.com/article/93209\", \"snippet\": \"Comparing different approaches to artificial intelligence in healthcare \\u2014 strength"}, "depends_on": ["step_1"], "output_key": "entities"}, {"step_id": "step_3", "tool_name": "sentiment_analysis", "arguments": {"text": "[{\"title\": \"Artificial Intelligence In Healthcare \\u2014 Academic Overview\", \"url\": \"https://bbc.com/article/30658\", \"snippet\": \"Expert guide to artificial intelligence in healthcare with detailed explanations, examples, and best practices for practitioners.\", \"source\": \"Academic\"}, {\"title\": \"Artificial Intelligence In Healthcare \\u2014 Forum Analysis\", \"url\": \"https://reuters.com/article/93209\", \"snippet\": \"Comparing different approaches to artificial intelligence in healthcare \\u2014 strength"}, "depends_on": ["step_1"], "output_key": "sentiment"}, {"step_id": "step_4", "tool_name": "generate_report", "arguments": {"title": "Analysis Report: artificial intelligence in healthcare", "data": "{\"query\": \"artificial intelligence in healthcare\", \"entities_found\": 5, \"top_entities\": [\"https://bbc.com/article/30658\", \"https://reuters.com/article/93209\", \"Artificial Intelligence In Healthcare\", \"Academic Overview\", \"Forum Analysis\"], \"sentiment\": \"positive\", \"sentiment_confidence\": 1.0}", "format": "text"}, "depends_on": ["step_2", "step_3"], "output_key": "report"}, {"step_id": "step_5", "tool_name": "send_email", "arguments": {"to": "victor@infra.cloud", "subject": "Analysis: artificial intelligence in healthcare", "body": "ANALYSIS REPORT: ARTIFICIAL INTELLIGENCE IN HEALTHCARE\n======================================================\n\nSummary:\n  query: artificial intelligence in healthcare\n  entities_found: 5\n  top_entities: ['https://bbc.com/article/30658', 'https://reuters.com/article/93209', 'Artificial Intelligence In Healthcare', 'Academic Overview', 'Forum Analysis']\n  sentiment: positive\n  sentiment_confidence: 1.0\n\nGenerated: 2026-02-22T12:00:00"}, "depends_on": ["step_4"], "output_key": null}], "final_answer_source": "step_5"}

{"status": "sent", "message_id": "msg_cb7a1a931cd7", "to": "victor@infra.cloud", "subject": "Analysis: artificial intelligence in healthcare", "body_preview": "ANALYSIS REPORT: ARTIFICIAL INTELLIGENCE IN HEALTHCARE\n=============================================...", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Look up "neurotechnology developments", then simultaneously extract entities and determine sentiment, compile a report, and send it to rachel@product.mgmt.

{"steps": [{"step_id": "step_1", "tool_name": "web_search", "arguments": {"query": "neurotechnology developments"}, "depends_on": [], "output_key": "results"}, {"step_id": "step_2", "tool_name": "extract_entities", "arguments": {"text": "[{\"title\": \"Neurotechnology Developments \\u2014 News Overview\", \"url\": \"https://arxiv.org/article/37971\", \"snippet\": \"Latest research findings on neurotechnology developments from leading institutions and peer-reviewed publications.\", \"source\": \"News\"}, {\"title\": \"Neurotechnology Developments \\u2014 Wikipedia Analysis\", \"url\": \"https://github.com/article/69265\", \"snippet\": \"A comprehensive overview of neurotechnology developments covering key concepts, recent developments, and practical applicat"}, "depends_on": ["step_1"], "output_key": "entities"}, {"step_id": "step_3", "tool_name": "sentiment_analysis", "arguments": {"text": "[{\"title\": \"Neurotechnology Developments \\u2014 News Overview\", \"url\": \"https://arxiv.org/article/37971\", \"snippet\": \"Latest research findings on neurotechnology developments from leading institutions and peer-reviewed publications.\", \"source\": \"News\"}, {\"title\": \"Neurotechnology Developments \\u2014 Wikipedia Analysis\", \"url\": \"https://github.com/article/69265\", \"snippet\": \"A comprehensive overview of neurotechnology developments covering key concepts, recent developments, and practical applicat"}, "depends_on": ["step_1"], "output_key": "sentiment"}, {"step_id": "step_4", "tool_name": "generate_report", "arguments": {"title": "Analysis Report: neurotechnology developments", "data": "{\"query\": \"neurotechnology developments\", \"entities_found\": 5, \"top_entities\": [\"https://arxiv.org/article/37971\", \"https://github.com/article/69265\", \"Neurotechnology Developments\", \"News Overview\", \"Wikipedia Analysis\"], \"sentiment\": \"neutral\", \"sentiment_confidence\": 0.5}", "format": "text"}, "depends_on": ["step_2", "step_3"], "output_key": "report"}, {"step_id": "step_5", "tool_name": "send_email", "arguments": {"to": "rachel@product.mgmt", "subject": "Analysis: neurotechnology developments", "body": "ANALYSIS REPORT: NEUROTECHNOLOGY DEVELOPMENTS\n=============================================\n\nSummary:\n  query: neurotechnology developments\n  entities_found: 5\n  top_entities: ['https://arxiv.org/article/37971', 'https://github.com/article/69265', 'Neurotechnology Developments', 'News Overview', 'Wikipedia Analysis']\n  sentiment: neutral\n  sentiment_confidence: 0.5\n\nGenerated: 2026-02-22T12:00:00"}, "depends_on": ["step_4"], "output_key": null}], "final_answer_source": "step_5"}

{"status": "sent", "message_id": "msg_1c044bdd7549", "to": "rachel@product.mgmt", "subject": "Analysis: neurotechnology developments", "body_preview": "ANALYSIS REPORT: NEUROTECHNOLOGY DEVELOPMENTS\n=============================================\n\nSummary...", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Exchange 100 USD into TRY, SEK, and AED in parallel, determine which gives the highest and lowest amounts, and format the output.

{"steps": [{"step_id": "step_1", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "TRY", "amount": 100}, "depends_on": [], "output_key": "conv1"}, {"step_id": "step_2", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "SEK", "amount": 100}, "depends_on": [], "output_key": "conv2"}, {"step_id": "step_3", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "AED", "amount": 100}, "depends_on": [], "output_key": "conv3"}, {"step_id": "step_4", "tool_name": "min_max", "arguments": {"numbers": [100.0, 1042.0, 100.0]}, "depends_on": ["step_1", "step_2", "step_3"], "output_key": null}, {"step_id": "step_5", "tool_name": "format_number", "arguments": {"value": 1042.0, "format": "comma"}, "depends_on": ["step_4"], "output_key": null}], "final_answer_source": "step_5"}


Prompt: Convert 250 USD to GBP, BRL, and NOK simultaneously, find the min and max converted values, and format the result.

{"steps": [{"step_id": "step_1", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "GBP", "amount": 250}, "depends_on": [], "output_key": "conv1"}, {"step_id": "step_2", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "BRL", "amount": 250}, "depends_on": [], "output_key": "conv2"}, {"step_id": "step_3", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "NOK", "amount": 250}, "depends_on": [], "output_key": "conv3"}, {"step_id": "step_4", "tool_name": "min_max", "arguments": {"numbers": [197.5, 1242.5, 250.0]}, "depends_on": ["step_1", "step_2", "step_3"], "output_key": null}, {"step_id": "step_5", "tool_name": "format_number", "arguments": {"value": 1242.5, "format": "comma"}, "depends_on": ["step_4"], "output_key": null}], "final_answer_source": "step_5"}


Prompt: Convert 250 USD to three currencies (HKD, SEK, SGD), find the best and worst rates, and format the numbers.

{"steps": [{"step_id": "step_1", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "HKD", "amount": 250}, "depends_on": [], "output_key": "conv1"}, {"step_id": "step_2", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "SEK", "amount": 250}, "depends_on": [], "output_key": "conv2"}, {"step_id": "step_3", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "SGD", "amount": 250}, "depends_on": [], "output_key": "conv3"}, {"step_id": "step_4", "tool_name": "min_max", "arguments": {"numbers": [1955.0, 2605.0, 335.0]}, "depends_on": ["step_1", "step_2", "step_3"], "output_key": null}, {"step_id": "step_5", "tool_name": "format_number", "arguments": {"value": 2605.0, "format": "comma"}, "depends_on": ["step_4"], "output_key": null}], "final_answer_source": "step_5"}


Prompt: Answer "What is the tallest mountain?" from the knowledge base, translate to Greek, then both hash the translated text and email xander@devops.ci at the same time.

{"steps": [{"step_id": "step_1", "tool_name": "knowledge_base_query", "arguments": {"query": "What is the tallest mountain?"}, "depends_on": [], "output_key": "kb_result"}, {"step_id": "step_2", "tool_name": "translate_text", "arguments": {"text": "Based on available knowledge, What is the tallest mountain? relates to a topic with multiple facets. Further research may be needed for a complete answer.", "from_language": "en", "to_language": "el"}, "depends_on": ["step_1"], "output_key": "translated"}, {"step_id": "step_3", "tool_name": "hash_text", "arguments": {"text": "Based on available knowledge, What is the tallest mountain? relates to a topic with multiple facets. Further research may be needed for a complete answer. (EL translation)", "algorithm": "sha256"}, "depends_on": ["step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "send_email", "arguments": {"to": "xander@devops.ci", "subject": "KB Answer: What is the tallest mountain?", "body": "Based on available knowledge, What is the tallest mountain? relates to a topic with multiple facets. Further research may be needed for a complete answer. (EL translation)"}, "depends_on": ["step_2"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "sent", "message_id": "msg_5fe5276cd815", "to": "xander@devops.ci", "subject": "KB Answer: What is the tallest mountain?", "body_preview": "Based on available knowledge, What is the tallest mountain? relates to a topic with multiple facets....", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Answer "Who invented the telephone?" from the knowledge base, translate to Malay, then both hash the translated text and email peter@support.help at the same time.

{"steps": [{"step_id": "step_1", "tool_name": "knowledge_base_query", "arguments": {"query": "Who invented the telephone?"}, "depends_on": [], "output_key": "kb_result"}, {"step_id": "step_2", "tool_name": "translate_text", "arguments": {"text": "Based on available knowledge, Who invented the telephone? relates to a topic with multiple facets. Further research may be needed for a complete answer.", "from_language": "en", "to_language": "ms"}, "depends_on": ["step_1"], "output_key": "translated"}, {"step_id": "step_3", "tool_name": "hash_text", "arguments": {"text": "Based on available knowledge, Who invented the telephone? relates to a topic with multiple facets. Further research may be needed for a complete answer. (MS translation)", "algorithm": "sha256"}, "depends_on": ["step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "send_email", "arguments": {"to": "peter@support.help", "subject": "KB Answer: Who invented the telephone?", "body": "Based on available knowledge, Who invented the telephone? relates to a topic with multiple facets. Further research may be needed for a complete answer. (MS translation)"}, "depends_on": ["step_2"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "sent", "message_id": "msg_6df01e4e08fd", "to": "peter@support.help", "subject": "KB Answer: Who invented the telephone?", "body_preview": "Based on available knowledge, Who invented the telephone? relates to a topic with multiple facets. F...", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Query the KB for "What is the deepest ocean trench?", translate the response to Turkish, and simultaneously compute its hash and send it via email to grace@hospital.med.

{"steps": [{"step_id": "step_1", "tool_name": "knowledge_base_query", "arguments": {"query": "What is the deepest ocean trench?"}, "depends_on": [], "output_key": "kb_result"}, {"step_id": "step_2", "tool_name": "translate_text", "arguments": {"text": "Based on available knowledge, What is the deepest ocean trench? relates to a topic with multiple facets. Further research may be needed for a complete answer.", "from_language": "en", "to_language": "tr"}, "depends_on": ["step_1"], "output_key": "translated"}, {"step_id": "step_3", "tool_name": "hash_text", "arguments": {"text": "Based on available knowledge, What is the deepest ocean trench? relates to a topic with multiple facets. Further research may be needed for a complete answer. (TR translation)", "algorithm": "sha256"}, "depends_on": ["step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "send_email", "arguments": {"to": "grace@hospital.med", "subject": "KB Answer: What is the deepest ocean trench?", "body": "Based on available knowledge, What is the deepest ocean trench? relates to a topic with multiple facets. Further research may be needed for a complete answer. (TR translation)"}, "depends_on": ["step_2"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "sent", "message_id": "msg_c55653e11daa", "to": "grace@hospital.med", "subject": "KB Answer: What is the deepest ocean trench?", "body_preview": "Based on available knowledge, What is the deepest ocean trench? relates to a topic with multiple fac...", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Open files /data/employees.csv and /data/report.txt simultaneously, get word counts for both, compute the percent change, and log it.

{"steps": [{"step_id": "step_1", "tool_name": "read_file", "arguments": {"path": "/data/employees.csv"}, "depends_on": [], "output_key": "f1"}, {"step_id": "step_2", "tool_name": "read_file", "arguments": {"path": "/data/report.txt"}, "depends_on": [], "output_key": "f2"}, {"step_id": "step_3", "tool_name": "word_count", "arguments": {"text": "name,department,salary,years\nAlice,Engineering,95000,5\nBob,Marketing,72000,3\nCharlie,Engineering,105000,8\nDiana,Sales,68000,2\nEve,Engineering,88000,4\nFrank,Marketing,76000,6\nGrace,Sales,71000,3\nHenry,Engineering,112000,10"}, "depends_on": ["step_1"], "output_key": "wc1"}, {"step_id": "step_4", "tool_name": "word_count", "arguments": {"text": "Q1 2026 Sales Report\n\nTotal revenue: $2.4M\nGrowth: 15% YoY\nTop product: Enterprise Plan ($1.2M)\nNew customers: 340\nChurn rate: 2.1%\n\nKey highlights:\n- Enterprise segment grew 28%\n- APAC region exceeded targets by 12%\n- Customer satisfaction score: 4.6/5.0"}, "depends_on": ["step_2"], "output_key": "wc2"}, {"step_id": "step_5", "tool_name": "percentage_change", "arguments": {"old_value": 9, "new_value": 40}, "depends_on": ["step_3", "step_4"], "output_key": null}, {"step_id": "step_6", "tool_name": "log_event", "arguments": {"event_type": "word_count_comparison", "message": "Word count comparison: /data/employees.csv has 9 words, /data/report.txt has 40 words. Change: 344.4%", "severity": "info"}, "depends_on": ["step_5"], "output_key": null}], "final_answer_source": "step_6"}

{"log_id": "log_9d0c972b6e76", "event_type": "word_count_comparison", "message": "Word count comparison: /data/employees.csv has 9 words, /data/report.txt has 40 words. Change: 344.4%", "severity": "info", "timestamp": "2026-02-22T12:00:00"}


Prompt: Answer "What is the greenhouse effect?" from the knowledge base, translate to Polish, then both hash the translated text and email charlie@startup.dev at the same time.

{"steps": [{"step_id": "step_1", "tool_name": "knowledge_base_query", "arguments": {"query": "What is the greenhouse effect?"}, "depends_on": [], "output_key": "kb_result"}, {"step_id": "step_2", "tool_name": "translate_text", "arguments": {"text": "Based on available knowledge, What is the greenhouse effect? relates to a topic with multiple facets. Further research may be needed for a complete answer.", "from_language": "en", "to_language": "pl"}, "depends_on": ["step_1"], "output_key": "translated"}, {"step_id": "step_3", "tool_name": "hash_text", "arguments": {"text": "Based on available knowledge, What is the greenhouse effect? relates to a topic with multiple facets. Further research may be needed for a complete answer. (PL translation)", "algorithm": "sha256"}, "depends_on": ["step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "send_email", "arguments": {"to": "charlie@startup.dev", "subject": "KB Answer: What is the greenhouse effect?", "body": "Based on available knowledge, What is the greenhouse effect? relates to a topic with multiple facets. Further research may be needed for a complete answer. (PL translation)"}, "depends_on": ["step_2"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "sent", "message_id": "msg_f9ece757cb04", "to": "charlie@startup.dev", "subject": "KB Answer: What is the greenhouse effect?", "body_preview": "Based on available knowledge, What is the greenhouse effect? relates to a topic with multiple facets...", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Extract entities from two texts, combine the results, mask any PII, and save the cleaned text to /data/pii_cleaned.txt.

{"steps": [{"step_id": "step_1", "tool_name": "extract_entities", "arguments": {"text": "Contact Dr. Sarah Johnson at sjohnson@university.edu about the meeting on 03/15/2026."}, "depends_on": [], "output_key": "ent1"}, {"step_id": "step_2", "tool_name": "extract_entities", "arguments": {"text": "Albert Einstein was born in Ulm, Germany on March 14, 1879."}, "depends_on": [], "output_key": "ent2"}, {"step_id": "step_3", "tool_name": "mask_pii", "arguments": {"text": "Contact Dr. Sarah Johnson at sjohnson@university.edu about the meeting on 03/15/2026.\n---\nAlbert Einstein was born in Ulm, Germany on March 14, 1879."}, "depends_on": ["step_1", "step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "write_file", "arguments": {"path": "/data/pii_cleaned.txt", "content": "{\"entities_text1\": [{\"text\": \"sjohnson@university.edu\", \"type\": \"email\"}, {\"text\": \"03/15/2026\", \"type\": \"date\"}, {\"text\": \"03\", \"type\": \"number\"}, {\"text\": \"15\", \"type\": \"number\"}, {\"text\": \"Contact Dr\", \"type\": \"capitalized_phrase\"}, {\"text\": \"Sarah Johnson\", \"type\": \"capitalized_phrase\"}], \"entities_text2\": [{\"text\": \"March 14, 1879\", \"type\": \"date\"}, {\"text\": \"14\", \"type\": \"number\"}, {\"text\": \"Albert Einstein\", \"type\": \"capitalized_phrase\"}], \"masked_text\": \"Contact Dr. Sarah Johnson at [EMAIL] about the meeting on 03/15/2026.\\n---\\nAlbert Einstein was born in Ulm, Germany on March 14, 1879.\"}"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "written", "path": "/data/pii_cleaned.txt", "size": 604, "type": "text/plain", "overwrote_existing": true}


Prompt: Find named entities in two different texts, then mask personally identifiable information from the combined text and write it to /data/entities_masked.txt.

{"steps": [{"step_id": "step_1", "tool_name": "extract_entities", "arguments": {"text": "Elon Musk founded SpaceX in 2002 and Tesla headquarters is in Austin, Texas."}, "depends_on": [], "output_key": "ent1"}, {"step_id": "step_2", "tool_name": "extract_entities", "arguments": {"text": "Final exam schedule: email registrar@university.edu or visit room 301 in Admin Building."}, "depends_on": [], "output_key": "ent2"}, {"step_id": "step_3", "tool_name": "mask_pii", "arguments": {"text": "Elon Musk founded SpaceX in 2002 and Tesla headquarters is in Austin, Texas.\n---\nFinal exam schedule: email registrar@university.edu or visit room 301 in Admin Building."}, "depends_on": ["step_1", "step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "write_file", "arguments": {"path": "/data/entities_masked.txt", "content": "{\"entities_text1\": [{\"text\": \"Elon Musk\", \"type\": \"capitalized_phrase\"}], \"entities_text2\": [{\"text\": \"registrar@university.edu\", \"type\": \"email\"}, {\"text\": \"301\", \"type\": \"number\"}, {\"text\": \"Admin Building\", \"type\": \"capitalized_phrase\"}], \"masked_text\": \"Elon Musk founded SpaceX in 2002 and Tesla headquarters is in Austin, Texas.\\n---\\nFinal exam schedule: email [EMAIL] or visit room 301 in Admin Building.\"}"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "written", "path": "/data/entities_masked.txt", "size": 414, "type": "text/plain", "overwrote_existing": false}


Prompt: Extract entities from two texts, combine the results, mask any PII, and save the cleaned text to /data/entities_masked.txt.

{"steps": [{"step_id": "step_1", "tool_name": "extract_entities", "arguments": {"text": "Contact Dr. Sarah Johnson at sjohnson@university.edu about the meeting on 03/15/2026."}, "depends_on": [], "output_key": "ent1"}, {"step_id": "step_2", "tool_name": "extract_entities", "arguments": {"text": "Contact hr@globalinc.com to schedule an interview. The position is based in London."}, "depends_on": [], "output_key": "ent2"}, {"step_id": "step_3", "tool_name": "mask_pii", "arguments": {"text": "Contact Dr. Sarah Johnson at sjohnson@university.edu about the meeting on 03/15/2026.\n---\nContact hr@globalinc.com to schedule an interview. The position is based in London."}, "depends_on": ["step_1", "step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "write_file", "arguments": {"path": "/data/entities_masked.txt", "content": "{\"entities_text1\": [{\"text\": \"sjohnson@university.edu\", \"type\": \"email\"}, {\"text\": \"03/15/2026\", \"type\": \"date\"}, {\"text\": \"03\", \"type\": \"number\"}, {\"text\": \"15\", \"type\": \"number\"}, {\"text\": \"Contact Dr\", \"type\": \"capitalized_phrase\"}, {\"text\": \"Sarah Johnson\", \"type\": \"capitalized_phrase\"}], \"entities_text2\": [{\"text\": \"hr@globalinc.com\", \"type\": \"email\"}], \"masked_text\": \"Contact Dr. Sarah Johnson at [EMAIL] about the meeting on 03/15/2026.\\n---\\nContact [EMAIL] to schedule an interview. The position is based in London.\"}"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "written", "path": "/data/entities_masked.txt", "size": 529, "type": "text/plain", "overwrote_existing": true}


Prompt: Convert 250 USD to THB, MXN, and EUR simultaneously, find the min and max converted values, and format the result.

{"steps": [{"step_id": "step_1", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "THB", "amount": 250}, "depends_on": [], "output_key": "conv1"}, {"step_id": "step_2", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "MXN", "amount": 250}, "depends_on": [], "output_key": "conv2"}, {"step_id": "step_3", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "EUR", "amount": 250}, "depends_on": [], "output_key": "conv3"}, {"step_id": "step_4", "tool_name": "min_max", "arguments": {"numbers": [250.0, 4287.5, 230.0]}, "depends_on": ["step_1", "step_2", "step_3"], "output_key": null}, {"step_id": "step_5", "tool_name": "format_number", "arguments": {"value": 4287.5, "format": "comma"}, "depends_on": ["step_4"], "output_key": null}], "final_answer_source": "step_5"}


Prompt: Search for "smart city infrastructure", extract entities and analyze sentiment in parallel, generate a report, and email it to quinn@analytics.data.

{"steps": [{"step_id": "step_1", "tool_name": "web_search", "arguments": {"query": "smart city infrastructure"}, "depends_on": [], "output_key": "results"}, {"step_id": "step_2", "tool_name": "extract_entities", "arguments": {"text": "[{\"title\": \"Smart City Infrastructure \\u2014 News Overview\", \"url\": \"https://stackoverflow.com/article/32326\", \"snippet\": \"Latest research findings on smart city infrastructure from leading institutions and peer-reviewed publications.\", \"source\": \"News\"}, {\"title\": \"Smart City Infrastructure \\u2014 Forum Analysis\", \"url\": \"https://medium.com/article/13104\", \"snippet\": \"Comparing different approaches to smart city infrastructure \\u2014 strengths, limitations, and real-world performance.\", \"source"}, "depends_on": ["step_1"], "output_key": "entities"}, {"step_id": "step_3", "tool_name": "sentiment_analysis", "arguments": {"text": "[{\"title\": \"Smart City Infrastructure \\u2014 News Overview\", \"url\": \"https://stackoverflow.com/article/32326\", \"snippet\": \"Latest research findings on smart city infrastructure from leading institutions and peer-reviewed publications.\", \"source\": \"News\"}, {\"title\": \"Smart City Infrastructure \\u2014 Forum Analysis\", \"url\": \"https://medium.com/article/13104\", \"snippet\": \"Comparing different approaches to smart city infrastructure \\u2014 strengths, limitations, and real-world performance.\", \"source"}, "depends_on": ["step_1"], "output_key": "sentiment"}, {"step_id": "step_4", "tool_name": "generate_report", "arguments": {"title": "Analysis Report: smart city infrastructure", "data": "{\"query\": \"smart city infrastructure\", \"entities_found\": 5, \"top_entities\": [\"https://stackoverflow.com/article/32326\", \"https://medium.com/article/13104\", \"Smart City Infrastructure\", \"News Overview\", \"Forum Analysis\"], \"sentiment\": \"neutral\", \"sentiment_confidence\": 0.5}", "format": "text"}, "depends_on": ["step_2", "step_3"], "output_key": "report"}, {"step_id": "step_5", "tool_name": "send_email", "arguments": {"to": "quinn@analytics.data", "subject": "Analysis: smart city infrastructure", "body": "ANALYSIS REPORT: SMART CITY INFRASTRUCTURE\n==========================================\n\nSummary:\n  query: smart city infrastructure\n  entities_found: 5\n  top_entities: ['https://stackoverflow.com/article/32326', 'https://medium.com/article/13104', 'Smart City Infrastructure', 'News Overview', 'Forum Analysis']\n  sentiment: neutral\n  sentiment_confidence: 0.5\n\nGenerated: 2026-02-22T12:00:00"}, "depends_on": ["step_4"], "output_key": null}], "final_answer_source": "step_5"}

{"status": "sent", "message_id": "msg_10753c8f717f", "to": "quinn@analytics.data", "subject": "Analysis: smart city infrastructure", "body_preview": "ANALYSIS REPORT: SMART CITY INFRASTRUCTURE\n==========================================\n\nSummary:\n  qu...", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Look up V and ORCL stocks, find the percentage difference, and notify about the comparison.

{"steps": [{"step_id": "step_1", "tool_name": "get_stock_price", "arguments": {"symbol": "V"}, "depends_on": [], "output_key": "s1"}, {"step_id": "step_2", "tool_name": "get_stock_price", "arguments": {"symbol": "ORCL"}, "depends_on": [], "output_key": "s2"}, {"step_id": "step_3", "tool_name": "percentage_change", "arguments": {"old_value": 113, "new_value": 85}, "depends_on": ["step_1", "step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "create_notification", "arguments": {"title": "Stock Comparison", "message": "ORCL is -24.8% decrease compared to V", "priority": "medium"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "created", "notification_id": "notif_787053e1eddf", "title": "Stock Comparison", "priority": "medium", "timestamp": "2026-02-22T12:00:00"}


Prompt: Look up Rome's weather, create a Incident Postmortem event on 2026-04-15 10:00, and set a reminder about the event.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Rome"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "create_calendar_event", "arguments": {"title": "Incident Postmortem (Outdoor - windy)", "date": "2026-04-15 10:00", "duration_minutes": 60}, "depends_on": ["step_1"], "output_key": "event"}, {"step_id": "step_3", "tool_name": "set_reminder", "arguments": {"message": "Reminder: Incident Postmortem in Rome. Weather in Rome: 24°C, windy", "remind_at": "2026-04-15 10:00"}, "depends_on": ["step_2"], "output_key": "reminder"}, {"step_id": "step_4", "tool_name": "word_count", "arguments": {"text": "Weather in Rome: 24°C, windy"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_3"}

{"reminder_id": "rem_7bb92981df1e", "message": "Reminder: Incident Postmortem in Rome. Weather in Rome: 24°C, windy", "remind_at": "2026-04-15 10:00", "confirmation": "Reminder set for 2026-04-15 10:00: 'Reminder: Incident Postmortem in Rome. Weather in Rome: 24°C, windy'."}


Prompt: Read the file at /data/employees.csv, extract all numbers, compute statistics, and save the results to /data/numbers_report.json.

{"steps": [{"step_id": "step_1", "tool_name": "read_file", "arguments": {"path": "/data/employees.csv"}, "depends_on": [], "output_key": "file_data"}, {"step_id": "step_2", "tool_name": "extract_numbers", "arguments": {"text": "name,department,salary,years\nAlice,Engineering,95000,5\nBob,Marketing,72000,3\nCharlie,Engineering,105000,8\nDiana,Sales,68000,2\nEve,Engineering,88000,4\nFrank,Marketing,76000,6\nGrace,Sales,71000,3\nHenry,Engineering,112000,10"}, "depends_on": ["step_1"], "output_key": "extracted"}, {"step_id": "step_3", "tool_name": "statistical_analysis", "arguments": {"numbers": [950, 0, 5, 720, 0, 3, 105, 0, 8, 680, 0, 2, 880, 0, 4, 760, 0, 6, 710, 0, 3, 112, 0, 10]}, "depends_on": ["step_2"], "output_key": "stats"}, {"step_id": "step_4", "tool_name": "write_file", "arguments": {"path": "/data/numbers_report.json", "content": "{\"source_file\": \"/data/employees.csv\", \"numbers\": [950, 0, 5, 720, 0, 3, 105, 0, 8, 680, 0, 2, 880, 0, 4, 760, 0, 6, 710, 0, 3, 112, 0, 10], \"statistics\": {\"count\": 24, \"mean\": 206.5833, \"median\": 4.5, \"min\": 0.0, \"max\": 950.0, \"sum\": 4958.0, \"stdev\": 345.0893}}"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "written", "path": "/data/numbers_report.json", "size": 262, "type": "application/json", "overwrote_existing": true}


Prompt: Figure out what language "Microplastics have been found in every environment on Earth...." is in, translate to English, create a summary, then send it to diana@university.edu.

{"steps": [{"step_id": "step_1", "tool_name": "detect_language", "arguments": {"text": "Microplastics have been found in every environment on Earth. Research into their health effects is intensifying."}, "depends_on": [], "output_key": "detected"}, {"step_id": "step_2", "tool_name": "translate_text", "arguments": {"text": "Microplastics have been found in every environment on Earth. Research into their health effects is intensifying.", "from_language": "en", "to_language": "en"}, "depends_on": ["step_1"], "output_key": "translated"}, {"step_id": "step_3", "tool_name": "summarize_text", "arguments": {"text": "Microplastics have been found in every environment on Earth. Research into their health effects is intensifying. (English translation)"}, "depends_on": ["step_2"], "output_key": "summary"}, {"step_id": "step_4", "tool_name": "send_email", "arguments": {"to": "diana@university.edu", "subject": "Translated Summary", "body": "Microplastics have been found in every environment on Earth. Research into their health effects is intensifying. (English translation)"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "sent", "message_id": "msg_a200eb5e6d58", "to": "diana@university.edu", "subject": "Translated Summary", "body_preview": "Microplastics have been found in every environment on Earth. Research into their health effects is i...", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Open files /data/products.json and /data/employees.csv simultaneously, get word counts for both, compute the percent change, and log it.

{"steps": [{"step_id": "step_1", "tool_name": "read_file", "arguments": {"path": "/data/products.json"}, "depends_on": [], "output_key": "f1"}, {"step_id": "step_2", "tool_name": "read_file", "arguments": {"path": "/data/employees.csv"}, "depends_on": [], "output_key": "f2"}, {"step_id": "step_3", "tool_name": "word_count", "arguments": {"text": "[{\"id\": 1, \"name\": \"Basic Plan\", \"price\": 29, \"category\": \"subscription\"}, {\"id\": 2, \"name\": \"Pro Plan\", \"price\": 79, \"category\": \"subscription\"}, {\"id\": 3, \"name\": \"Enterprise Plan\", \"price\": 199, \"category\": \"subscription\"}, {\"id\": 4, \"name\": \"API Access\", \"price\": 49, \"category\": \"addon\"}, {\"id\": 5, \"name\": \"Premium Support\", \"price\": 99, \"category\": \"addon\"}]"}, "depends_on": ["step_1"], "output_key": "wc1"}, {"step_id": "step_4", "tool_name": "word_count", "arguments": {"text": "name,department,salary,years\nAlice,Engineering,95000,5\nBob,Marketing,72000,3\nCharlie,Engineering,105000,8\nDiana,Sales,68000,2\nEve,Engineering,88000,4\nFrank,Marketing,76000,6\nGrace,Sales,71000,3\nHenry,Engineering,112000,10"}, "depends_on": ["step_2"], "output_key": "wc2"}, {"step_id": "step_5", "tool_name": "percentage_change", "arguments": {"old_value": 45, "new_value": 9}, "depends_on": ["step_3", "step_4"], "output_key": null}, {"step_id": "step_6", "tool_name": "log_event", "arguments": {"event_type": "word_count_comparison", "message": "Word count comparison: /data/products.json has 45 words, /data/employees.csv has 9 words. Change: -80.0%", "severity": "info"}, "depends_on": ["step_5"], "output_key": null}], "final_answer_source": "step_6"}

{"log_id": "log_0fabdbfbc848", "event_type": "word_count_comparison", "message": "Word count comparison: /data/products.json has 45 words, /data/employees.csv has 9 words. Change: -80.0%", "severity": "info", "timestamp": "2026-02-22T12:00:00"}


Prompt: Get the prices of UBER and PINS, compute the percent change between them, and create a notification with the result.

{"steps": [{"step_id": "step_1", "tool_name": "get_stock_price", "arguments": {"symbol": "UBER"}, "depends_on": [], "output_key": "s1"}, {"step_id": "step_2", "tool_name": "get_stock_price", "arguments": {"symbol": "PINS"}, "depends_on": [], "output_key": "s2"}, {"step_id": "step_3", "tool_name": "percentage_change", "arguments": {"old_value": 133, "new_value": 236}, "depends_on": ["step_1", "step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "create_notification", "arguments": {"title": "Stock Comparison", "message": "PINS is 77.4% increase compared to UBER", "priority": "medium"}, "depends_on": ["step_3"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "created", "notification_id": "notif_787053e1eddf", "title": "Stock Comparison", "priority": "medium", "timestamp": "2026-02-22T12:00:00"}


Prompt: Exchange 2500 USD into SAR, CNY, and NZD in parallel, determine which gives the highest and lowest amounts, and format the output.

{"steps": [{"step_id": "step_1", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "SAR", "amount": 2500}, "depends_on": [], "output_key": "conv1"}, {"step_id": "step_2", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "CNY", "amount": 2500}, "depends_on": [], "output_key": "conv2"}, {"step_id": "step_3", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "NZD", "amount": 2500}, "depends_on": [], "output_key": "conv3"}, {"step_id": "step_4", "tool_name": "min_max", "arguments": {"numbers": [2500.0, 18100.0, 2500.0]}, "depends_on": ["step_1", "step_2", "step_3"], "output_key": null}, {"step_id": "step_5", "tool_name": "format_number", "arguments": {"value": 18100.0, "format": "comma"}, "depends_on": ["step_4"], "output_key": null}], "final_answer_source": "step_5"}


Prompt: Answer "Who was the first person to walk on the Moon?" from the knowledge base, translate to Dutch, then both hash the translated text and email nick@marketing.brand at the same time.

{"steps": [{"step_id": "step_1", "tool_name": "knowledge_base_query", "arguments": {"query": "Who was the first person to walk on the Moon?"}, "depends_on": [], "output_key": "kb_result"}, {"step_id": "step_2", "tool_name": "translate_text", "arguments": {"text": "Based on available knowledge, Who was the first person to walk on the Moon? relates to a topic with multiple facets. Further research may be needed for a complete answer.", "from_language": "en", "to_language": "nl"}, "depends_on": ["step_1"], "output_key": "translated"}, {"step_id": "step_3", "tool_name": "hash_text", "arguments": {"text": "Based on available knowledge, Who was the first person to walk on the Moon? relates to a topic with multiple facets. Further research may be needed for a complete answer. (NL translation)", "algorithm": "sha256"}, "depends_on": ["step_2"], "output_key": null}, {"step_id": "step_4", "tool_name": "send_email", "arguments": {"to": "nick@marketing.brand", "subject": "KB Answer: Who was the first person to walk on the Moon?", "body": "Based on available knowledge, Who was the first person to walk on the Moon? relates to a topic with multiple facets. Further research may be needed for a complete answer. (NL translation)"}, "depends_on": ["step_2"], "output_key": null}], "final_answer_source": "step_4"}

{"status": "sent", "message_id": "msg_390407b45e8a", "to": "nick@marketing.brand", "subject": "KB Answer: Who was the first person to walk on the Moon?", "body_preview": "Based on available knowledge, Who was the first person to walk on the Moon? relates to a topic with ...", "cc": null, "timestamp": "2026-02-22T12:00:00"}