Prompt: Can you add a specified number of days, hours, and/or minutes to a date. Returns the resulting date in ISO format? The parameters are date: 2025-02-14, minutes: 87.

{"steps": [{"step_id": "step_1", "tool_name": "add_duration", "arguments": {"date": "2025-02-14", "minutes": 87}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}


Prompt: Can you add a specified number of days, hours, and/or minutes to a date. Returns the resulting date in ISO format? The parameters are date: 2026-03-01, hours: 72.

{"steps": [{"step_id": "step_1", "tool_name": "add_duration", "arguments": {"date": "2026-03-01", "hours": 72}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}


Prompt: Please encode a plain-text string to its Base64 representation.

{"steps": [{"step_id": "step_1", "tool_name": "base64_encode", "arguments": {"text": "The food industry is experiencing disruption from plant-based alternatives and lab-grown meat. Consumer preferences are shifting rapidly."}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}


Prompt: Please encode a plain-text string to its Base64 representation.

{"steps": [{"step_id": "step_1", "tool_name": "base64_encode", "arguments": {"text": "Quantum computing promises to revolutionize how we process information. Unlike classical bits, quantum bits can exist in multiple states simultaneously."}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}


Prompt: Please count the number of business days (Monday–Friday) between two dates, exclusive of the start date and inclusive of the end date. Also returns the total calendar days — specifically, start date: 2026-02-01, end date: 2026-02-14.

{"steps": [{"step_id": "step_1", "tool_name": "business_days_between", "arguments": {"start_date": "2026-02-01", "end_date": "2026-02-14"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}


Prompt: Please calculate the difference between two dates in days, weeks, months, or years — specifically, date1: 2025-11-15, date2: 2026-02-01.

{"steps": [{"step_id": "step_1", "tool_name": "calculate_date_diff", "arguments": {"date1": "2025-11-15", "date2": "2026-02-01"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}


Prompt: I need you to calculate the difference between two dates in days, weeks, months, or years. Here are the details: date1: 2026-04-01, date2: 2026-02-14.

{"steps": [{"step_id": "step_1", "tool_name": "calculate_date_diff", "arguments": {"date1": "2026-04-01", "date2": "2026-02-14"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}


Prompt: Compute the value of 177 - 61.

{"steps": [{"step_id": "step_1", "tool_name": "calculator", "arguments": {"expression": "177 - 61"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}


Prompt: What is 234 - 89?

{"steps": [{"step_id": "step_1", "tool_name": "calculator", "arguments": {"expression": "234 - 89"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}


Prompt: I need you to convert text to a different case: upper, lower, title, camelCase, or snake_case. Here are the details: target case: lower.

{"steps": [{"step_id": "step_1", "tool_name": "case_convert", "arguments": {"text": "The global economy is undergoing a period of significant transformation. Digital technologies are reshaping traditional business models.", "target_case": "lower"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"converted": "the global economy is undergoing a period of significant transformation. digital technologies are reshaping traditional business models."}


Prompt: I need you to convert text to a different case: upper, lower, title, camelCase, or snake_case. Here are the details: target case: camel.

{"steps": [{"step_id": "step_1", "tool_name": "case_convert", "arguments": {"text": "Fusion energy research has achieved significant milestones. Commercial fusion power could provide virtually unlimited clean energy.", "target_case": "camel"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}


Prompt: Can you check whether a URL is reachable and return its HTTP status code and estimated response time? The parameters are url: https://news.com.

{"steps": [{"step_id": "step_1", "tool_name": "check_url_status", "arguments": {"url": "https://news.com"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"url": "https://news.com", "status": "reachable", "status_code": 200, "response_time_ms": 485}


Prompt: Check whether a URL is reachable and return its HTTP status code and estimated response time with the following: url: https://blog.dev.

{"steps": [{"step_id": "step_1", "tool_name": "check_url_status", "arguments": {"url": "https://blog.dev"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"url": "https://blog.dev", "status": "client_error", "status_code": 403, "response_time_ms": 200}


Prompt: Clamp a number so it falls within the specified minimum and maximum range. Returns the clamped value and whether clamping was applied with the following: value: 86.25, min val: 16.13, max val: 16.84.

{"steps": [{"step_id": "step_1", "tool_name": "clamp_value", "arguments": {"value": 86.25, "min_val": 16.13, "max_val": 16.84}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}


Prompt: Please classify a piece of text into one or more predefined categories based on its content.

{"steps": [{"step_id": "step_1", "tool_name": "classify_text", "arguments": {"text": "Microplastics have been found in every environment on Earth. Research into their health effects is intensifying.", "categories": ["item_0", "item_1"]}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"text_preview": "microplastics have been found in every environment on earth. research into their health effects is i...", "predicted_category": "item_0", "confidence": 0.0, "all_scores": {"item_0": 0.0, "item_1": 0.0}}


Prompt: Classify a piece of text into one or more predefined categories based on its content.

{"steps": [{"step_id": "step_1", "tool_name": "classify_text", "arguments": {"text": "Quantum computing promises to revolutionize how we process information. Unlike classical bits, quantum bits can exist in multiple states simultaneously.", "categories": ["item_0", "item_1", "item_2", "item_3"]}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"text_preview": "quantum computing promises to revolutionize how we process information. unlike classical bits, quant...", "predicted_category": "item_0", "confidence": 0.0, "all_scores": {"item_0": 0.0, "item_1": 0.0, "item_2": 0.0, "item_3": 0.0}}


Prompt: I need you to compare two pieces of text and return their similarity score, common keywords, and differences.

{"steps": [{"step_id": "step_1", "tool_name": "compare_texts", "arguments": {"text1": "Renewable energy adoption is accelerating globally. Solar and wind power costs have decreased dramatically over the past decade.", "text2": "Biodegradable materials are replacing traditional plastics in packaging. Consumer demand is driving innovation in sustainable materials."}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"similarity_score": 0.032, "common_words_count": 1, "text1_unique_words": 17, "text2_unique_words": 13, "common_keywords": ["is"], "text1_length": 128, "text2_length": 136}


Prompt: Compare two pieces of text and return their similarity score, common keywords, and differences.

{"steps": [{"step_id": "step_1", "tool_name": "compare_texts", "arguments": {"text1": "Biodiversity loss is accelerating at an unprecedented rate. Conservation efforts must be scaled up significantly to protect endangered species.", "text2": "The metaverse concept is evolving from gaming to business applications. Virtual reality meetings and digital workspaces are becoming mainstream."}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"similarity_score": 0.056, "common_words_count": 2, "text1_unique_words": 17, "text2_unique_words": 17, "common_keywords": ["is", "to"], "text1_length": 143, "text2_length": 144}


Prompt: Compress a data string using a specified compression algorithm. Returns the compressed size, original size, and compression ratio with the following: data: sample_data_246, algorithm: gzip.

{"steps": [{"step_id": "step_1", "tool_name": "compress_data", "arguments": {"data": "sample_data_246", "algorithm": "gzip"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"compressed_size": 23, "original_size": 15, "ratio": 1.5333, "algorithm": "gzip"}


Prompt: Can you compress a data string using a specified compression algorithm. Returns the compressed size, original size, and compression ratio? The parameters are data: sample_data_779, algorithm: lz4.

{"steps": [{"step_id": "step_1", "tool_name": "compress_data", "arguments": {"data": "sample_data_779", "algorithm": "lz4"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"compressed_size": 23, "original_size": 15, "ratio": 1.5333, "algorithm": "lz4"}


Prompt: Create a calendar event with a title, date, duration, and optional list of attendees. Returns a confirmation with the event ID with the following: title: Retrospective, date: 2026-02-14, duration minutes: 91.

{"steps": [{"step_id": "step_1", "tool_name": "create_calendar_event", "arguments": {"title": "Retrospective", "date": "2026-02-14", "duration_minutes": 91, "attendees": ["item_0", "item_1", "item_2"]}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"event_id": "evt_2c4e30a2bd53", "title": "Retrospective", "date": "2026-02-14", "duration_minutes": 91, "attendees": ["item_0", "item_1", "item_2"], "confirmation": "Calendar event 'Retrospective' created for 2026-02-14."}


Prompt: Can you create a calendar event with a title, date, duration, and optional list of attendees. Returns a confirmation with the event ID? The parameters are title: Marketing Sync, date: 2026-01-01, duration minutes: 93.

{"steps": [{"step_id": "step_1", "tool_name": "create_calendar_event", "arguments": {"title": "Marketing Sync", "date": "2026-01-01", "duration_minutes": 93, "attendees": ["item_0", "item_1", "item_2", "item_3", "item_4"]}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"event_id": "evt_7f9fe9e7a5d3", "title": "Marketing Sync", "date": "2026-01-01", "duration_minutes": 93, "attendees": ["item_0", "item_1", "item_2", "item_3", "item_4"], "confirmation": "Calendar event 'Marketing Sync' created for 2026-01-01."}


Prompt: Can you create a new contact entry with a name, email address, and optional phone number? The parameters are name: sample_name_675, email: nick@marketing.brand, phone: sample_phone_670.

{"steps": [{"step_id": "step_1", "tool_name": "create_contact", "arguments": {"name": "sample_name_675", "email": "nick@marketing.brand", "phone": "sample_phone_670"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"contact_id": "con_6e199e2e4173", "name": "sample_name_675", "email": "nick@marketing.brand", "phone": "sample_phone_670", "confirmation": "Contact 'sample_name_675' created."}


Prompt: I need you to create a new contact entry with a name, email address, and optional phone number. Here are the details: name: sample_name_255, email: olivia@sales.deal.

{"steps": [{"step_id": "step_1", "tool_name": "create_contact", "arguments": {"name": "sample_name_255", "email": "olivia@sales.deal"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"contact_id": "con_259c4c78c73c", "name": "sample_name_255", "email": "olivia@sales.deal", "phone": null, "confirmation": "Contact 'sample_name_255' created."}


Prompt: Can you create a notification or alert with a title and message, optionally with a priority level? The parameters are title: Cross-Team Alignment, message: CI/CD pipeline completed in 3m 42s.

{"steps": [{"step_id": "step_1", "tool_name": "create_notification", "arguments": {"title": "Cross-Team Alignment", "message": "CI/CD pipeline completed in 3m 42s"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"status": "created", "notification_id": "notif_25a181a23638", "title": "Cross-Team Alignment", "priority": "normal", "timestamp": "2026-02-22T12:00:00"}


Prompt: Create a notification or alert with a title and message, optionally with a priority level with the following: title: Onboarding Orientation, message: Automated backup verification passed, priority: normal.

{"steps": [{"step_id": "step_1", "tool_name": "create_notification", "arguments": {"title": "Onboarding Orientation", "message": "Automated backup verification passed", "priority": "normal"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"status": "created", "notification_id": "notif_13f776b4ab23", "title": "Onboarding Orientation", "priority": "normal", "timestamp": "2026-02-22T12:00:00"}


Prompt: I need you to create a spreadsheet with a title, column headers, and data rows. Returns a spreadsheet ID and row count. Here are the details: title: Budget Review.

{"steps": [{"step_id": "step_1", "tool_name": "create_spreadsheet", "arguments": {"title": "Budget Review", "headers": ["item_0", "item_1", "item_2", "item_3", "item_4"], "rows": ["item_0", "item_1", "item_2"]}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"spreadsheet_id": "sht_757ab09676fa", "title": "Budget Review", "columns": 5, "row_count": 3, "headers": ["item_0", "item_1", "item_2", "item_3", "item_4"], "confirmation": "Spreadsheet 'Budget Review' created with 3 rows and 5 columns."}


Prompt: Create a spreadsheet with a title, column headers, and data rows. Returns a spreadsheet ID and row count with the following: title: Marketing Sync.

{"steps": [{"step_id": "step_1", "tool_name": "create_spreadsheet", "arguments": {"title": "Marketing Sync", "headers": ["item_0", "item_1", "item_2"], "rows": ["item_0", "item_1", "item_2", "item_3", "item_4"]}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"spreadsheet_id": "sht_c38040eb64a3", "title": "Marketing Sync", "columns": 3, "row_count": 5, "headers": ["item_0", "item_1", "item_2"], "confirmation": "Spreadsheet 'Marketing Sync' created with 5 rows and 3 columns."}


Prompt: Please create a task or to-do item with a title, description, optional due date, and priority — specifically, title: Marketing Sync, description: sample_description_210, due date: 2026-05-01.

{"steps": [{"step_id": "step_1", "tool_name": "create_task", "arguments": {"title": "Marketing Sync", "description": "sample_description_210", "due_date": "2026-05-01"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"status": "created", "task_id": "task_dcbecb0e6809", "title": "Marketing Sync", "description": "sample_description_210", "due_date": "2026-05-01", "priority": "medium", "created_at": "2026-02-22T12:00:00"}


Prompt: Please create a task or to-do item with a title, description, optional due date, and priority — specifically, title: Vendor Evaluation, description: sample_description_551.

{"steps": [{"step_id": "step_1", "tool_name": "create_task", "arguments": {"title": "Vendor Evaluation", "description": "sample_description_551"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"status": "created", "task_id": "task_69df17868447", "title": "Vendor Evaluation", "description": "sample_description_551", "due_date": null, "priority": "medium", "created_at": "2026-02-22T12:00:00"}


Prompt: Aggregate a list of records by a group key, computing sum, average, count, min, or max for a specified value field with the following: group by: sample_group_by_721, value field: sample_value_field_542.

{"steps": [{"step_id": "step_1", "tool_name": "data_aggregate", "arguments": {"items": ["item_0", "item_1", "item_2", "item_3"], "group_by": "sample_group_by_721", "value_field": "sample_value_field_542"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"operation": "sum", "group_by": "sample_group_by_721", "value_field": "sample_value_field_542", "groups": {}, "total_records": 4, "total_groups": 0}


Prompt: Please aggregate a list of records by a group key, computing sum, average, count, min, or max for a specified value field — specifically, group by: sample_group_by_761, value field: sample_value_field_289, operation: count.

{"steps": [{"step_id": "step_1", "tool_name": "data_aggregate", "arguments": {"items": ["item_0", "item_1", "item_2"], "group_by": "sample_group_by_761", "value_field": "sample_value_field_289", "operation": "count"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"operation": "count", "group_by": "sample_group_by_761", "value_field": "sample_value_field_289", "groups": {}, "total_records": 3, "total_groups": 0}


Prompt: Filter a list of items based on a condition. For numbers: greater_than, less_than, equals. For strings: contains, starts_with, ends_with with the following: condition: equals, value: sample_value_650.

{"steps": [{"step_id": "step_1", "tool_name": "data_filter", "arguments": {"items": ["item_0", "item_1", "item_2", "item_3", "item_4"], "condition": "equals", "value": "sample_value_650"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"filtered": [], "count": 0, "original_count": 5, "condition": "equals", "value": "sample_value_650"}


Prompt: Can you filter a list of items based on a condition. For numbers: greater_than, less_than, equals. For strings: contains, starts_with, ends_with? The parameters are condition: ends_with, value: sample_value_166.

{"steps": [{"step_id": "step_1", "tool_name": "data_filter", "arguments": {"items": ["item_0", "item_1", "item_2", "item_3"], "condition": "ends_with", "value": "sample_value_166"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"filtered": [], "count": 0, "original_count": 4, "condition": "ends_with", "value": "sample_value_166"}


Prompt: I need you to sort a list of items (numbers or strings) in ascending or descending order. Here are the details: key: project_notes.

{"steps": [{"step_id": "step_1", "tool_name": "data_sort", "arguments": {"items": ["item_0", "item_1"], "key": "project_notes"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"sorted": ["item_0", "item_1"], "order": "ascending", "count": 2}


Prompt: Sort a list of items (numbers or strings) in ascending or descending order with the following: key: recipe_collection.

{"steps": [{"step_id": "step_1", "tool_name": "data_sort", "arguments": {"items": ["item_0", "item_1", "item_2", "item_3", "item_4"], "key": "recipe_collection"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"sorted": ["item_0", "item_1", "item_2", "item_3", "item_4"], "order": "ascending", "count": 5}


Prompt: Please query a structured database table. Supports filtering, sorting, and aggregation on predefined datasets (countries, cities, movies, books) — specifically, table: movies, filter field: sample_filter_field_768, filter value: sample_filter_value_903.

{"steps": [{"step_id": "step_1", "tool_name": "database_query", "arguments": {"table": "movies", "filter_field": "sample_filter_field_768", "filter_value": "sample_filter_value_903", "sort_by": "sample_sort_by_802", "limit": 86}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"table": "movies", "results": [], "count": 0, "error": "Table not found"}


Prompt: Please query a structured database table. Supports filtering, sorting, and aggregation on predefined datasets (countries, cities, movies, books) — specifically, table: cities, filter field: sample_filter_field_880, filter op: greater_than.

{"steps": [{"step_id": "step_1", "tool_name": "database_query", "arguments": {"table": "cities", "filter_field": "sample_filter_field_880", "filter_op": "greater_than", "filter_value": "sample_filter_value_841", "sort_by": "sample_sort_by_676"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"table": "cities", "results": [], "count": 0}


Prompt: Detect the language of the input text. Uses common function-word heuristics to identify English, French, German, Spanish, Italian, Portuguese, and Dutch.

{"steps": [{"step_id": "step_1", "tool_name": "detect_language", "arguments": {"text": "The education sector is embracing technology-enhanced learning. Online platforms and AI tutors are making education more accessible."}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"language": "English", "language_code": "en", "confidence": 0.8}


Prompt: Can you detect the language of the input text. Uses common function-word heuristics to identify English, French, German, Spanish, Italian, Portuguese, and Dutch?

{"steps": [{"step_id": "step_1", "tool_name": "detect_language", "arguments": {"text": "Gene editing technologies like CRISPR offer enormous potential for treating genetic diseases. Ethical considerations remain important."}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"language": "English", "language_code": "en", "confidence": 1.0}


Prompt: Can you perform a DNS lookup for a domain and return the resolved IP address and record type? The parameters are domain: sample_domain_447.

{"steps": [{"step_id": "step_1", "tool_name": "dns_lookup", "arguments": {"domain": "sample_domain_447"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}


Prompt: Perform a DNS lookup for a domain and return the resolved IP address and record type with the following: domain: sample_domain_261.

{"steps": [{"step_id": "step_1", "tool_name": "dns_lookup", "arguments": {"domain": "sample_domain_261"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"domain": "sample_domain_261", "ip_address": "77.12.18.40", "record_type": "A", "ttl_seconds": 2784}


Prompt: Please uRL encode or decode a text string. Encodes special characters for safe use in URLs, or decodes percent-encoded strings back to readable text — specifically, action: encode.

{"steps": [{"step_id": "step_1", "tool_name": "encode_url", "arguments": {"text": "Neuroscience breakthroughs are improving our understanding of brain function. Brain-computer interfaces could transform healthcare.", "action": "encode"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}


Prompt: Please uRL encode or decode a text string. Encodes special characters for safe use in URLs, or decodes percent-encoded strings back to readable text — specifically, action: encode.

{"steps": [{"step_id": "step_1", "tool_name": "encode_url", "arguments": {"text": "The Internet of Things connects billions of devices worldwide. Smart home technology is becoming standard in new construction.", "action": "encode"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}


Prompt: Can you encrypt a text string using a specified encryption method. Returns the simulated encrypted output as a base64 string? The parameters are method: rsa.

{"steps": [{"step_id": "step_1", "tool_name": "encrypt_text", "arguments": {"text": "The education sector is embracing technology-enhanced learning. Online platforms and AI tutors are making education more accessible.", "method": "rsa"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"encrypted": "sBIJK3hty3oxA54csWwdY9xTiUBfjTxcc1ypiAaYwfk=", "method": "rsa", "original_length": 132, "encrypted_length": 44}


Prompt: Can you encrypt a text string using a specified encryption method. Returns the simulated encrypted output as a base64 string? The parameters are method: aes256.

{"steps": [{"step_id": "step_1", "tool_name": "encrypt_text", "arguments": {"text": "Neuroscience breakthroughs are improving our understanding of brain function. Brain-computer interfaces could transform healthcare.", "method": "aes256"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"encrypted": "nrRSS4U2c37qWog1HIA1B3UV/LwKKukaaUz4xAtdLzk=", "method": "aes256", "original_length": 131, "encrypted_length": 44}


Prompt: Can you extract the domain, subdomain, and top-level domain (TLD) from a given URL? The parameters are url: https://news.com.

{"steps": [{"step_id": "step_1", "tool_name": "extract_domain", "arguments": {"url": "https://news.com"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"domain": "news", "subdomain": "", "tld": "com"}


Prompt: Please extract the domain, subdomain, and top-level domain (TLD) from a given URL — specifically, url: https://blog.dev.

{"steps": [{"step_id": "step_1", "tool_name": "extract_domain", "arguments": {"url": "https://blog.dev"}, "depends_on": [], "output_key": null}], "final_answer_source": "step_1"}

{"domain": "blog", "subdomain": "", "tld": "dev"}


Prompt: Check the weather in Berlin and convert the temperature to Fahrenheit.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Berlin"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "unit_convert", "arguments": {"value": 36, "from_unit": "celsius", "to_unit": "fahrenheit"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"original_value": 36.0, "from_unit": "celsius", "converted_value": 96.8, "to_unit": "fahrenheit"}


Prompt: Check the weather in Cairo and convert the temperature to Fahrenheit.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Cairo"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "unit_convert", "arguments": {"value": 33, "from_unit": "celsius", "to_unit": "fahrenheit"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"original_value": 33.0, "from_unit": "celsius", "converted_value": 91.4, "to_unit": "fahrenheit"}


Prompt: What is the temperature in Helsinki in Fahrenheit?

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Helsinki"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "unit_convert", "arguments": {"value": 30, "from_unit": "celsius", "to_unit": "fahrenheit"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"original_value": 30.0, "from_unit": "celsius", "converted_value": 86.0, "to_unit": "fahrenheit"}


Prompt: Find information about "digital twin technology" and give me a summary.

{"steps": [{"step_id": "step_1", "tool_name": "web_search", "arguments": {"query": "digital twin technology"}, "depends_on": [], "output_key": "results"}, {"step_id": "step_2", "tool_name": "summarize_text", "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": null}], "final_answer_source": "step_2"}

{"original_length": 500, "summary": "[{\"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", "summary_length": 499, "sentences_used": 1, "compression_ratio": 1.0}


Prompt: Search the web for "autonomous vehicle regulations", then summarize the findings.

{"steps": [{"step_id": "step_1", "tool_name": "web_search", "arguments": {"query": "autonomous vehicle regulations"}, "depends_on": [], "output_key": "results"}, {"step_id": "step_2", "tool_name": "summarize_text", "arguments": {"text": "[{\"title\": \"Autonomous Vehicle Regulations \\u2014 News Overview\", \"url\": \"https://stackoverflow.com/article/41076\", \"snippet\": \"Latest research findings on autonomous vehicle regulations from leading institutions and peer-reviewed publications.\", \"source\": \"News\"}, {\"title\": \"Autonomous Vehicle Regulations \\u2014 News Analysis\", \"url\": \"https://stackoverflow.com/article/93556\", \"snippet\": \"Latest research findings on autonomous vehicle regulations from leading institutions and peer-reviewed publ"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"original_length": 500, "summary": "[{\"title\": \"Autonomous Vehicle Regulations \\u2014 News Overview\", \"url\": \"https://stackoverflow.com/article/41076\", \"snippet\": \"Latest research findings on autonomous vehicle regulations from leading institutions and peer-reviewed publications.\", \"source\": \"News\"}, {\"title\": \"Autonomous Vehicle Regulations \\u2014 News Analysis\", \"url\": \"https://stackoverflow.com/article/93556\", \"snippet\": \"Latest research findings on autonomous vehicle regulations from leading institutions and peer-reviewed publ", "summary_length": 500, "sentences_used": 1, "compression_ratio": 1.0}


Prompt: Search for "water purification methods" and summarize the results.

{"steps": [{"step_id": "step_1", "tool_name": "web_search", "arguments": {"query": "water purification methods"}, "depends_on": [], "output_key": "results"}, {"step_id": "step_2", "tool_name": "summarize_text", "arguments": {"text": "[{\"title\": \"Water Purification Methods \\u2014 Blog Overview\", \"url\": \"https://nytimes.com/article/12187\", \"snippet\": \"water purification methods: analysis of current trends, methodologies, and future directions in the field.\", \"source\": \"Blog\"}, {\"title\": \"Water Purification Methods \\u2014 Wikipedia Analysis\", \"url\": \"https://github.com/article/59325\", \"snippet\": \"A comprehensive overview of water purification methods covering key concepts, recent developments, and practical applications.\", \"sou"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"original_length": 500, "summary": "[{\"title\": \"Water Purification Methods \\u2014 Blog Overview\", \"url\": \"https://nytimes.com/article/12187\", \"snippet\": \"water purification methods: analysis of current trends, methodologies, and future directions in the field.\", \"source\": \"Blog\"}, {\"title\": \"Water Purification Methods \\u2014 Wikipedia Analysis\", \"url\": \"https://github.com/article/59325\", \"snippet\": \"A comprehensive overview of water purification methods covering key concepts, recent developments, and practical applications.\", \"sou", "summary_length": 500, "sentences_used": 1, "compression_ratio": 1.0}


Prompt: What is V's stock price in NZD?

{"steps": [{"step_id": "step_1", "tool_name": "get_stock_price", "arguments": {"symbol": "V"}, "depends_on": [], "output_key": "stock"}, {"step_id": "step_2", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "NZD", "amount": 113}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"from_currency": "USD", "to_currency": "NZD", "rate": 1.0, "amount": 113.0, "converted_amount": 113.0}


Prompt: What is UBER's stock price in SEK?

{"steps": [{"step_id": "step_1", "tool_name": "get_stock_price", "arguments": {"symbol": "UBER"}, "depends_on": [], "output_key": "stock"}, {"step_id": "step_2", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "SEK", "amount": 133}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"from_currency": "USD", "to_currency": "SEK", "rate": 10.42, "amount": 133.0, "converted_amount": 1385.86}


Prompt: Get the price of SQ and convert it to CAD.

{"steps": [{"step_id": "step_1", "tool_name": "get_stock_price", "arguments": {"symbol": "SQ"}, "depends_on": [], "output_key": "stock"}, {"step_id": "step_2", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "USD", "to_currency": "CAD", "amount": 539}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"from_currency": "USD", "to_currency": "CAD", "rate": 1.36, "amount": 539.0, "converted_amount": 733.04}


Prompt: Find named entities in "Rosalind Franklin's X-ray crystallography work was done at King's College London..." and determine the sentiment.

{"steps": [{"step_id": "step_1", "tool_name": "extract_entities", "arguments": {"text": "Rosalind Franklin's X-ray crystallography work was done at King's College London in 1952."}, "depends_on": [], "output_key": "entities"}, {"step_id": "step_2", "tool_name": "sentiment_analysis", "arguments": {"text": "Rosalind Franklin's X-ray crystallography work was done at King's College London in 1952."}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"text_length": 89, "sentiment": "neutral", "confidence": 0.5, "positive_signals": 0, "negative_signals": 0}


Prompt: Identify entities in "Final exam schedule: email registrar@university.edu or visit room 301 in Admin B...", then classify its sentiment.

{"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": "entities"}, {"step_id": "step_2", "tool_name": "sentiment_analysis", "arguments": {"text": "Final exam schedule: email registrar@university.edu or visit room 301 in Admin Building."}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"text_length": 88, "sentiment": "neutral", "confidence": 0.5, "positive_signals": 0, "negative_signals": 0}


Prompt: Extract entities from "Registration closes on 06/30/2026. Contact events@conference.org for more inform..." and analyze the sentiment.

{"steps": [{"step_id": "step_1", "tool_name": "extract_entities", "arguments": {"text": "Registration closes on 06/30/2026. Contact events@conference.org for more information."}, "depends_on": [], "output_key": "entities"}, {"step_id": "step_2", "tool_name": "sentiment_analysis", "arguments": {"text": "Registration closes on 06/30/2026. Contact events@conference.org for more information."}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"text_length": 86, "sentiment": "neutral", "confidence": 0.5, "positive_signals": 0, "negative_signals": 0}


Prompt: Look up weather in Manila, then email the results to yuki@international.global.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Manila"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "send_email", "arguments": {"to": "yuki@international.global", "subject": "Weather in Manila", "body": "{\"city\": \"Manila\", \"temperature_celsius\": 26, \"humidity_percent\": 31, \"wind_speed_kmh\": 41, \"condition\": \"foggy\", \"feels_like_celsius\": 24}"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"status": "sent", "message_id": "msg_a7ab2625ae69", "to": "yuki@international.global", "subject": "Weather in Manila", "body_preview": "{\"city\": \"Manila\", \"temperature_celsius\": 26, \"humidity_percent\": 31, \"wind_speed_kmh\": 41, \"conditi...", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Get the weather in Chicago and email the report to olivia@sales.deal.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Chicago"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "send_email", "arguments": {"to": "olivia@sales.deal", "subject": "Weather in Chicago", "body": "{\"city\": \"Chicago\", \"temperature_celsius\": -5, \"humidity_percent\": 30, \"wind_speed_kmh\": 30, \"condition\": \"snowy\", \"feels_like_celsius\": -7}"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"status": "sent", "message_id": "msg_f032ff081cd7", "to": "olivia@sales.deal", "subject": "Weather in Chicago", "body_preview": "{\"city\": \"Chicago\", \"temperature_celsius\": -5, \"humidity_percent\": 30, \"wind_speed_kmh\": 30, \"condit...", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Check Chicago's weather and send it via email to karen@legal.law.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Chicago"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "send_email", "arguments": {"to": "karen@legal.law", "subject": "Weather in Chicago", "body": "{\"city\": \"Chicago\", \"temperature_celsius\": -5, \"humidity_percent\": 30, \"wind_speed_kmh\": 30, \"condition\": \"snowy\", \"feels_like_celsius\": -7}"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"status": "sent", "message_id": "msg_4e1a5a4074bf", "to": "karen@legal.law", "subject": "Weather in Chicago", "body_preview": "{\"city\": \"Chicago\", \"temperature_celsius\": -5, \"humidity_percent\": 30, \"wind_speed_kmh\": 30, \"condit...", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Read the file at /data/employees.csv and summarize its contents.

{"steps": [{"step_id": "step_1", "tool_name": "read_file", "arguments": {"path": "/data/employees.csv"}, "depends_on": [], "output_key": "content"}, {"step_id": "step_2", "tool_name": "summarize_text", "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": null}], "final_answer_source": "step_2"}

{"original_length": 221, "summary": "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", "summary_length": 221, "sentences_used": 1, "compression_ratio": 1.0}


Prompt: Search for "smart city infrastructure" and classify the results into categories.

{"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": "classify_text", "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 ", "categories": ["science", "technology", "politics"]}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"text_preview": "[{\"title\": \"smart city infrastructure \\u2014 news overview\", \"url\": \"https://stackoverflow.com/artic...", "predicted_category": "science", "confidence": 0.0, "all_scores": {"science": 0.0, "technology": 0.0, "politics": 0.0}}


Prompt: Search for "digital twin technology" and classify the results into categories.

{"steps": [{"step_id": "step_1", "tool_name": "web_search", "arguments": {"query": "digital twin technology"}, "depends_on": [], "output_key": "results"}, {"step_id": "step_2", "tool_name": "classify_text", "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 T", "categories": ["sports", "education", "environment"]}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"text_preview": "[{\"title\": \"digital twin technology \\u2014 wikipedia overview\", \"url\": \"https://en.wikipedia.org/art...", "predicted_category": "sports", "confidence": 0.0, "all_scores": {"sports": 0.0, "education": 0.0, "environment": 0.0}}


Prompt: Find information about "autonomous vehicle regulations" and categorize it.

{"steps": [{"step_id": "step_1", "tool_name": "web_search", "arguments": {"query": "autonomous vehicle regulations"}, "depends_on": [], "output_key": "results"}, {"step_id": "step_2", "tool_name": "classify_text", "arguments": {"text": "[{\"title\": \"Autonomous Vehicle Regulations \\u2014 News Overview\", \"url\": \"https://stackoverflow.com/article/41076\", \"snippet\": \"Latest research findings on autonomous vehicle regulations from leading institutions and peer-reviewed publications.\", \"source\": \"News\"}, {\"title\": \"Autonomous Vehicle Regu", "categories": ["science", "technology", "politics"]}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"text_preview": "[{\"title\": \"autonomous vehicle regulations \\u2014 news overview\", \"url\": \"https://stackoverflow.com/...", "predicted_category": "science", "confidence": 0.0, "all_scores": {"science": 0.0, "technology": 0.0, "politics": 0.0}}


Prompt: Count words in "The Internet of Things connects billions of devices worldwid...", then format the number with commas.

{"steps": [{"step_id": "step_1", "tool_name": "word_count", "arguments": {"text": "The Internet of Things connects billions of devices worldwide. Smart home technology is becoming standard in new construction."}, "depends_on": [], "output_key": "wc"}, {"step_id": "step_2", "tool_name": "format_number", "arguments": {"value": 18, "format": "comma"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: How many words are in "Urban farming and vertical agriculture are addressing food s..."? Give me the count formatted nicely.

{"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"}, {"step_id": "step_2", "tool_name": "format_number", "arguments": {"value": 19, "format": "comma"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Count words in "Ocean acidification threatens marine ecosystems worldwide. C...", then format the number with commas.

{"steps": [{"step_id": "step_1", "tool_name": "word_count", "arguments": {"text": "Ocean acidification threatens marine ecosystems worldwide. Coral reefs are particularly vulnerable to changes in water chemistry."}, "depends_on": [], "output_key": "wc"}, {"step_id": "step_2", "tool_name": "format_number", "arguments": {"value": 16, "format": "comma"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Pull keywords from "Microplastics have been found in every environment on Earth....", then do a web search for the primary keyword.

{"steps": [{"step_id": "step_1", "tool_name": "keyword_extract", "arguments": {"text": "Microplastics have been found in every environment on Earth. Research into their health effects is intensifying."}, "depends_on": [], "output_key": "keywords"}, {"step_id": "step_2", "tool_name": "web_search", "arguments": {"query": "microplastics"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"query": "microplastics", "results": [{"title": "Microplastics — Blog Overview", "url": "https://nytimes.com/article/72137", "snippet": "microplastics: analysis of current trends, methodologies, and future directions in the field.", "source": "Blog"}, {"title": "Microplastics — Blog Analysis", "url": "https://nytimes.com/article/81047", "snippet": "microplastics: analysis of current trends, methodologies, and future directions in the field.", "source": "Blog"}, {"title": "Microplastics — Wikipedia Guide", "url": "https://en.wikipedia.org/article/33320", "snippet": "A comprehensive overview of microplastics covering key concepts, recent developments, and practical applications.", "source": "Wikipedia"}, {"title": "Microplastics — Forum Discussion", "url": "https://reuters.com/article/13829", "snippet": "Comparing different approaches to microplastics — strengths, limitations, and real-world performance.", "source": "Forum"}, {"title": "Microplastics — Blog Report", "url": "https://nature.com/article/12052", "snippet": "microplastics: analysis of current trends, methodologies, and future directions in the field.", "source": "Blog"}], "total": 5}


Prompt: Find the main keywords in "Biodegradable materials are replacing traditional plastics i..." and look up the most important one online.

{"steps": [{"step_id": "step_1", "tool_name": "keyword_extract", "arguments": {"text": "Biodegradable materials are replacing traditional plastics in packaging. Consumer demand is driving innovation in sustainable materials."}, "depends_on": [], "output_key": "keywords"}, {"step_id": "step_2", "tool_name": "web_search", "arguments": {"query": "materials"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"query": "materials", "results": [{"title": "Materials — News Overview", "url": "https://arxiv.org/article/40731", "snippet": "Latest research findings on materials from leading institutions and peer-reviewed publications.", "source": "News"}, {"title": "Materials — News Analysis", "url": "https://arxiv.org/article/92341", "snippet": "Latest research findings on materials from leading institutions and peer-reviewed publications.", "source": "News"}, {"title": "Materials — Blog Guide", "url": "https://nature.com/article/21492", "snippet": "materials: analysis of current trends, methodologies, and future directions in the field.", "source": "Blog"}, {"title": "Materials — News Discussion", "url": "https://arxiv.org/article/63961", "snippet": "Latest research findings on materials from leading institutions and peer-reviewed publications.", "source": "News"}, {"title": "Materials — Academic Report", "url": "https://bbc.com/article/68498", "snippet": "Expert guide to materials with detailed explanations, examples, and best practices for practitioners.", "source": "Academic"}], "total": 5}


Prompt: Pull keywords from "Biodegradable materials are replacing traditional plastics i...", then do a web search for the primary keyword.

{"steps": [{"step_id": "step_1", "tool_name": "keyword_extract", "arguments": {"text": "Biodegradable materials are replacing traditional plastics in packaging. Consumer demand is driving innovation in sustainable materials."}, "depends_on": [], "output_key": "keywords"}, {"step_id": "step_2", "tool_name": "web_search", "arguments": {"query": "materials"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"query": "materials", "results": [{"title": "Materials — News Overview", "url": "https://arxiv.org/article/40731", "snippet": "Latest research findings on materials from leading institutions and peer-reviewed publications.", "source": "News"}, {"title": "Materials — News Analysis", "url": "https://arxiv.org/article/92341", "snippet": "Latest research findings on materials from leading institutions and peer-reviewed publications.", "source": "News"}, {"title": "Materials — Blog Guide", "url": "https://nature.com/article/21492", "snippet": "materials: analysis of current trends, methodologies, and future directions in the field.", "source": "Blog"}, {"title": "Materials — News Discussion", "url": "https://arxiv.org/article/63961", "snippet": "Latest research findings on materials from leading institutions and peer-reviewed publications.", "source": "News"}, {"title": "Materials — Academic Report", "url": "https://bbc.com/article/68498", "snippet": "Expert guide to materials with detailed explanations, examples, and best practices for practitioners.", "source": "Academic"}], "total": 5}


Prompt: Detect the language of "Bonjour, comment allez-vous aujourd'hui?..." and then translate it to English.

{"steps": [{"step_id": "step_1", "tool_name": "detect_language", "arguments": {"text": "Bonjour, comment allez-vous aujourd'hui?"}, "depends_on": [], "output_key": "detected"}, {"step_id": "step_2", "tool_name": "translate_text", "arguments": {"text": "Bonjour, comment allez-vous aujourd'hui?", "from_language": "und", "to_language": "en"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"original_text": "Bonjour, comment allez-vous aujourd'hui?", "translated_text": "Bonjour, comment allez-vous aujourd'hui? (English translation)", "from_language": "und", "to_language": "en"}


Prompt: What language is "Donde esta la biblioteca mas cercana?..." in? Translate it to English.

{"steps": [{"step_id": "step_1", "tool_name": "detect_language", "arguments": {"text": "Donde esta la biblioteca mas cercana?"}, "depends_on": [], "output_key": "detected"}, {"step_id": "step_2", "tool_name": "translate_text", "arguments": {"text": "Donde esta la biblioteca mas cercana?", "from_language": "fr", "to_language": "en"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"original_text": "Donde esta la biblioteca mas cercana?", "translated_text": "Donde esta la biblioteca mas cercana? (English translation)", "from_language": "fr", "to_language": "en"}


Prompt: What language is "Eu gostaria de reservar uma mesa para dois...." in? Translate it to English.

{"steps": [{"step_id": "step_1", "tool_name": "detect_language", "arguments": {"text": "Eu gostaria de reservar uma mesa para dois."}, "depends_on": [], "output_key": "detected"}, {"step_id": "step_2", "tool_name": "translate_text", "arguments": {"text": "Eu gostaria de reservar uma mesa para dois.", "from_language": "es", "to_language": "en"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"original_text": "Eu gostaria de reservar uma mesa para dois.", "translated_text": "Eu gostaria de reservar uma mesa para dois. (English translation)", "from_language": "es", "to_language": "en"}


Prompt: Find the % change from 383.0 to 195.77 and present it in a formatted style.

{"steps": [{"step_id": "step_1", "tool_name": "percentage_change", "arguments": {"old_value": 383.0, "new_value": 195.77}, "depends_on": [], "output_key": "pct"}, {"step_id": "step_2", "tool_name": "format_number", "arguments": {"value": -48.8851, "format": "percent"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Compute the percentage difference from 19.5 to 274.32 and display it formatted.

{"steps": [{"step_id": "step_1", "tool_name": "percentage_change", "arguments": {"old_value": 19.5, "new_value": 274.32}, "depends_on": [], "output_key": "pct"}, {"step_id": "step_2", "tool_name": "format_number", "arguments": {"value": 1306.7692, "format": "percent"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: What is the percentage change from 392.8 to 329.36? Format the result as a percentage.

{"steps": [{"step_id": "step_1", "tool_name": "percentage_change", "arguments": {"old_value": 392.8, "new_value": 329.36}, "depends_on": [], "output_key": "pct"}, {"step_id": "step_2", "tool_name": "format_number", "arguments": {"value": -16.1507, "format": "percent"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Find the numbers in "Budget allocated $5.2 million for research, $3.1 million for..." and run a statistical analysis.

{"steps": [{"step_id": "step_1", "tool_name": "extract_numbers", "arguments": {"text": "Budget allocated $5.2 million for research, $3.1 million for development, and $1.7 million for marketing."}, "depends_on": [], "output_key": "extracted"}, {"step_id": "step_2", "tool_name": "statistical_analysis", "arguments": {"numbers": [5.2, 3.1, 1.7], "operation": "summary"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Find the numbers in "Population grew from 8.3 million in 2010 to 9.1 million in 2..." and run a statistical analysis.

{"steps": [{"step_id": "step_1", "tool_name": "extract_numbers", "arguments": {"text": "Population grew from 8.3 million in 2010 to 9.1 million in 2020, an increase of 800,000."}, "depends_on": [], "output_key": "extracted"}, {"step_id": "step_2", "tool_name": "statistical_analysis", "arguments": {"numbers": [8.3, 201, 0, 9.1, 202, 0, 800000], "operation": "summary"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Find the numbers in "Inflation hit 6.2 percent in 2022, up from 1.4 percent the p..." and run a statistical analysis.

{"steps": [{"step_id": "step_1", "tool_name": "extract_numbers", "arguments": {"text": "Inflation hit 6.2 percent in 2022, up from 1.4 percent the previous year."}, "depends_on": [], "output_key": "extracted"}, {"step_id": "step_2", "tool_name": "statistical_analysis", "arguments": {"numbers": [6.2, 202, 2, 1.4], "operation": "summary"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: What day of the week is "Jan 1, 2027"? Parse the date first.

{"steps": [{"step_id": "step_1", "tool_name": "parse_date", "arguments": {"date_string": "Jan 1, 2027"}, "depends_on": [], "output_key": "parsed"}, {"step_id": "step_2", "tool_name": "get_weekday", "arguments": {"date": "2027-01-01"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Convert "March 15, 2026" to a standard date, then find out the weekday.

{"steps": [{"step_id": "step_1", "tool_name": "parse_date", "arguments": {"date_string": "March 15, 2026"}, "depends_on": [], "output_key": "parsed"}, {"step_id": "step_2", "tool_name": "get_weekday", "arguments": {"date": "2026-03-15"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: What day of the week is "05/05/2026"? Parse the date first.

{"steps": [{"step_id": "step_1", "tool_name": "parse_date", "arguments": {"date_string": "05/05/2026"}, "depends_on": [], "output_key": "parsed"}, {"step_id": "step_2", "tool_name": "get_weekday", "arguments": {"date": "2026-05-05"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Open /data/employees.csv and pull out the most important keywords.

{"steps": [{"step_id": "step_1", "tool_name": "read_file", "arguments": {"path": "/data/employees.csv"}, "depends_on": [], "output_key": "content"}, {"step_id": "step_2", "tool_name": "keyword_extract", "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": null}], "final_answer_source": "step_2"}

{"keywords": ["engineering", "marketing", "sales", "name", "department"], "scores": [1.0, 0.5, 0.5, 0.25, 0.25]}


Prompt: Read the file at /data/config.json and extract the keywords from its contents.

{"steps": [{"step_id": "step_1", "tool_name": "read_file", "arguments": {"path": "/data/config.json"}, "depends_on": [], "output_key": "content"}, {"step_id": "step_2", "tool_name": "keyword_extract", "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": null}], "final_answer_source": "step_2"}

{"keywords": ["true", "datapipeline", "version", "features", "caching"], "scores": [1.0, 0.5, 0.5, 0.5, 0.5]}


Prompt: Read /data/report.txt, then identify the key topics and keywords.

{"steps": [{"step_id": "step_1", "tool_name": "read_file", "arguments": {"path": "/data/report.txt"}, "depends_on": [], "output_key": "content"}, {"step_id": "step_2", "tool_name": "keyword_extract", "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": null}], "final_answer_source": "step_2"}

{"keywords": ["enterprise", "sales", "report", "total", "revenue"], "scores": [1.0, 0.5, 0.5, 0.5, 0.5]}


Prompt: Read the file at /data/config.json and count how many words it contains.

{"steps": [{"step_id": "step_1", "tool_name": "read_file", "arguments": {"path": "/data/config.json"}, "depends_on": [], "output_key": "content"}, {"step_id": "step_2", "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": null}], "final_answer_source": "step_2"}

{"words": 15, "characters": 155, "sentences": 2}


Prompt: How many words are in the file at /data/report.txt?

{"steps": [{"step_id": "step_1", "tool_name": "read_file", "arguments": {"path": "/data/report.txt"}, "depends_on": [], "output_key": "content"}, {"step_id": "step_2", "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": null}], "final_answer_source": "step_2"}

{"words": 40, "characters": 255, "sentences": 5}


Prompt: How many words are in the file at /data/config.json?

{"steps": [{"step_id": "step_1", "tool_name": "read_file", "arguments": {"path": "/data/config.json"}, "depends_on": [], "output_key": "content"}, {"step_id": "step_2", "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": null}], "final_answer_source": "step_2"}

{"words": 15, "characters": 155, "sentences": 2}


Prompt: Look up the weather in Beijing, then log this as an info event.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Beijing"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "log_event", "arguments": {"event_type": "weather_check", "message": "Weather in Beijing: cloudy, 19°C", "severity": "info"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"log_id": "log_065f87e80706", "event_type": "weather_check", "message": "Weather in Beijing: cloudy, 19°C", "severity": "info", "timestamp": "2026-02-22T12:00:00"}


Prompt: Fetch Manila's weather and record it in the event log.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Manila"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "log_event", "arguments": {"event_type": "weather_check", "message": "Weather in Manila: foggy, 26°C", "severity": "info"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"log_id": "log_fe8e21a90258", "event_type": "weather_check", "message": "Weather in Manila: foggy, 26°C", "severity": "info", "timestamp": "2026-02-22T12:00:00"}


Prompt: Look up the weather in Lisbon, then log this as an info event.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Lisbon"}, "depends_on": [], "output_key": "weather"}, {"step_id": "step_2", "tool_name": "log_event", "arguments": {"event_type": "weather_check", "message": "Weather in Lisbon: snowy, 16°C", "severity": "info"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"log_id": "log_499c52eb4b19", "event_type": "weather_check", "message": "Weather in Lisbon: snowy, 16°C", "severity": "info", "timestamp": "2026-02-22T12:00:00"}


Prompt: Evaluate 295 * 59 and give me the answer rounded to 3 places.

{"steps": [{"step_id": "step_1", "tool_name": "calculator", "arguments": {"expression": "295 * 59"}, "depends_on": [], "output_key": "calc"}, {"step_id": "step_2", "tool_name": "round_number", "arguments": {"value": 17405.0, "decimals": 3}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Compute 881 * 43, then round the answer to 3 decimals.

{"steps": [{"step_id": "step_1", "tool_name": "calculator", "arguments": {"expression": "881 * 43"}, "depends_on": [], "output_key": "calc"}, {"step_id": "step_2", "tool_name": "round_number", "arguments": {"value": 37883.0, "decimals": 3}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Compute 358 + 37, then round the answer to 0 decimals.

{"steps": [{"step_id": "step_1", "tool_name": "calculator", "arguments": {"expression": "358 + 37"}, "depends_on": [], "output_key": "calc"}, {"step_id": "step_2", "tool_name": "round_number", "arguments": {"value": 395.0, "decimals": 0}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Get the numeric values in "The garden covers 2.5 acres with over 300 species of plants ..." and compute their range.

{"steps": [{"step_id": "step_1", "tool_name": "extract_numbers", "arguments": {"text": "The garden covers 2.5 acres with over 300 species of plants and 15 fountains."}, "depends_on": [], "output_key": "extracted"}, {"step_id": "step_2", "tool_name": "min_max", "arguments": {"numbers": [2.5, 300, 15]}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Get the numeric values in "The satellite orbits at 35,786 km altitude completing 1 revo..." and compute their range.

{"steps": [{"step_id": "step_1", "tool_name": "extract_numbers", "arguments": {"text": "The satellite orbits at 35,786 km altitude completing 1 revolution every 24 hours."}, "depends_on": [], "output_key": "extracted"}, {"step_id": "step_2", "tool_name": "min_max", "arguments": {"numbers": [35786, 1, 24]}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Pull out the numbers from "The recipe calls for 2.5 cups of flour, 3 eggs, and 175 gram...", then identify the smallest and largest.

{"steps": [{"step_id": "step_1", "tool_name": "extract_numbers", "arguments": {"text": "The recipe calls for 2.5 cups of flour, 3 eggs, and 175 grams of sugar."}, "depends_on": [], "output_key": "extracted"}, {"step_id": "step_2", "tool_name": "min_max", "arguments": {"numbers": [2.5, 3, 175]}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Make an invoice for Spark Solutions, then email the details to victor@infra.cloud.

{"steps": [{"step_id": "step_1", "tool_name": "create_invoice", "arguments": {"client_name": "Spark Solutions", "items": [{"description": "API Integration", "quantity": 1, "unit_price": 3500.0}], "currency": "GBP"}, "depends_on": [], "output_key": "invoice"}, {"step_id": "step_2", "tool_name": "send_email", "arguments": {"to": "victor@infra.cloud", "subject": "Invoice for Spark Solutions", "body": "Invoice inv_5d2a340889ad for Spark Solutions: 3500.0 GBP"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"status": "sent", "message_id": "msg_065e2208711e", "to": "victor@infra.cloud", "subject": "Invoice for Spark Solutions", "body_preview": "Invoice inv_5d2a340889ad for Spark Solutions: 3500.0 GBP", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Make an invoice for Blue Horizon, then email the details to xander@devops.ci.

{"steps": [{"step_id": "step_1", "tool_name": "create_invoice", "arguments": {"client_name": "Blue Horizon", "items": [{"description": "Data Analysis", "quantity": 8, "unit_price": 175.0}], "currency": "GBP"}, "depends_on": [], "output_key": "invoice"}, {"step_id": "step_2", "tool_name": "send_email", "arguments": {"to": "xander@devops.ci", "subject": "Invoice for Blue Horizon", "body": "Invoice inv_dbc068bd56ed for Blue Horizon: 1400.0 GBP"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"status": "sent", "message_id": "msg_fcc77df300e8", "to": "xander@devops.ci", "subject": "Invoice for Blue Horizon", "body_preview": "Invoice inv_dbc068bd56ed for Blue Horizon: 1400.0 GBP", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Create an invoice for NextGen Labs and email it to iris@media.news.

{"steps": [{"step_id": "step_1", "tool_name": "create_invoice", "arguments": {"client_name": "NextGen Labs", "items": [{"description": "API Integration", "quantity": 1, "unit_price": 3500.0}], "currency": "USD"}, "depends_on": [], "output_key": "invoice"}, {"step_id": "step_2", "tool_name": "send_email", "arguments": {"to": "iris@media.news", "subject": "Invoice for NextGen Labs", "body": "Invoice inv_0c5b4cc02f30 for NextGen Labs: 3500.0 USD"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"status": "sent", "message_id": "msg_d460c69afef1", "to": "iris@media.news", "subject": "Invoice for NextGen Labs", "body_preview": "Invoice inv_0c5b4cc02f30 for NextGen Labs: 3500.0 USD", "cc": null, "timestamp": "2026-02-22T12:00:00"}


Prompt: Create a "System Health Dashboard" report and write it to the file at /data/system_health_dashboard.txt.

{"steps": [{"step_id": "step_1", "tool_name": "generate_report", "arguments": {"title": "System Health Dashboard", "data": "{\"revenue\": 125000, \"expenses\": 98000, \"profit\": 27000}", "format": "text"}, "depends_on": [], "output_key": "report"}, {"step_id": "step_2", "tool_name": "write_file", "arguments": {"path": "/data/system_health_dashboard.txt", "content": "SYSTEM HEALTH DASHBOARD\n=======================\n\nSummary:\n  revenue: 125000\n  expenses: 98000\n  profit: 27000\n\nGenerated: 2026-02-22T12:00:00"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"status": "written", "path": "/data/system_health_dashboard.txt", "size": 141, "type": "text/plain", "overwrote_existing": false}


Prompt: Build a report called "Performance Metrics", then save the output to /data/performance_metrics.txt.

{"steps": [{"step_id": "step_1", "tool_name": "generate_report", "arguments": {"title": "Performance Metrics", "data": "{\"cpu_usage\": 72.5, \"memory_usage\": 68.3, \"disk_usage\": 45.1}", "format": "text"}, "depends_on": [], "output_key": "report"}, {"step_id": "step_2", "tool_name": "write_file", "arguments": {"path": "/data/performance_metrics.txt", "content": "PERFORMANCE METRICS\n===================\n\nSummary:\n  cpu_usage: 72.5\n  memory_usage: 68.3\n  disk_usage: 45.1\n\nGenerated: 2026-02-22T12:00:00"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"status": "written", "path": "/data/performance_metrics.txt", "size": 139, "type": "text/plain", "overwrote_existing": false}


Prompt: Build a report called "Performance Metrics", then save the output to /data/performance_metrics.txt.

{"steps": [{"step_id": "step_1", "tool_name": "generate_report", "arguments": {"title": "Performance Metrics", "data": "{\"sales\": 15000, \"returns\": 320, \"customers\": 1250}", "format": "text"}, "depends_on": [], "output_key": "report"}, {"step_id": "step_2", "tool_name": "write_file", "arguments": {"path": "/data/performance_metrics.txt", "content": "PERFORMANCE METRICS\n===================\n\nSummary:\n  sales: 15000\n  returns: 320\n  customers: 1250\n\nGenerated: 2026-02-22T12:00:00"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"status": "written", "path": "/data/performance_metrics.txt", "size": 129, "type": "text/plain", "overwrote_existing": true}


Prompt: Apply aes256 encryption to "Cybersecurity threats are becoming more sophistica..." and save the output to /data/encrypted_753.enc.

{"steps": [{"step_id": "step_1", "tool_name": "encrypt_text", "arguments": {"text": "Cybersecurity threats are becoming more sophisticated. Organizations must invest in robust security infrastructure and training.", "method": "aes256"}, "depends_on": [], "output_key": "encrypted"}, {"step_id": "step_2", "tool_name": "write_file", "arguments": {"path": "/data/encrypted_753.enc", "content": "0mrHPS/PYlyAszIthitZYMn4hzFmPlgM2gE7+wqAWNo="}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"status": "written", "path": "/data/encrypted_753.enc", "size": 44, "type": "text/plain", "overwrote_existing": false}


Prompt: Apply rsa encryption to "Cybersecurity threats are becoming more sophistica..." and save the output to /data/encrypted_590.enc.

{"steps": [{"step_id": "step_1", "tool_name": "encrypt_text", "arguments": {"text": "Cybersecurity threats are becoming more sophisticated. Organizations must invest in robust security infrastructure and training.", "method": "rsa"}, "depends_on": [], "output_key": "encrypted"}, {"step_id": "step_2", "tool_name": "write_file", "arguments": {"path": "/data/encrypted_590.enc", "content": "PnNkVxln1mkjZ0BTzICh7uCaTMHHO+jB62JbYfFHDvE="}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"status": "written", "path": "/data/encrypted_590.enc", "size": 44, "type": "text/plain", "overwrote_existing": false}


Prompt: Encrypt the text "Renewable energy adoption is accelerating globally..." using rsa and save the result to /data/encrypted_216.enc.

{"steps": [{"step_id": "step_1", "tool_name": "encrypt_text", "arguments": {"text": "Renewable energy adoption is accelerating globally. Solar and wind power costs have decreased dramatically over the past decade.", "method": "rsa"}, "depends_on": [], "output_key": "encrypted"}, {"step_id": "step_2", "tool_name": "write_file", "arguments": {"path": "/data/encrypted_216.enc", "content": "Nox0QNR4P3jmx+vdJ5F43tfjVmrtlYdZRLXCEkx1i5s="}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}

{"status": "written", "path": "/data/encrypted_216.enc", "size": 44, "type": "text/plain", "overwrote_existing": false}


Prompt: Slugify "Cybersecurity Essentials 2026" and generate a full URL using base https://www.example.com.

{"steps": [{"step_id": "step_1", "tool_name": "slugify", "arguments": {"text": "Cybersecurity Essentials 2026"}, "depends_on": [], "output_key": "slug"}, {"step_id": "step_2", "tool_name": "generate_url", "arguments": {"base": "https://www.example.com", "path": "/articles/cybersecurity-essentials-2026", "params": "{}"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Slugify "The Art of Technical Writing" and generate a full URL using base https://blog.company.io.

{"steps": [{"step_id": "step_1", "tool_name": "slugify", "arguments": {"text": "The Art of Technical Writing"}, "depends_on": [], "output_key": "slug"}, {"step_id": "step_2", "tool_name": "generate_url", "arguments": {"base": "https://blog.company.io", "path": "/articles/the-art-of-technical-writing", "params": "{}"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Turn "Cloud Infrastructure Best Practices" into a slug, then build the complete URL from https://news.site.org.

{"steps": [{"step_id": "step_1", "tool_name": "slugify", "arguments": {"text": "Cloud Infrastructure Best Practices"}, "depends_on": [], "output_key": "slug"}, {"step_id": "step_2", "tool_name": "generate_url", "arguments": {"base": "https://news.site.org", "path": "/articles/cloud-infrastructure-best-practices", "params": "{}"}, "depends_on": ["step_1"], "output_key": null}], "final_answer_source": "step_2"}


Prompt: Get weather for Lisbon, Stockholm, Istanbul simultaneously and compare temperatures.

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Lisbon"}, "depends_on": [], "output_key": "weather_lisbon"}, {"step_id": "step_2", "tool_name": "get_weather", "arguments": {"city": "Stockholm"}, "depends_on": [], "output_key": "weather_stockholm"}, {"step_id": "step_3", "tool_name": "get_weather", "arguments": {"city": "Istanbul"}, "depends_on": [], "output_key": "weather_istanbul"}], "final_answer_source": "step_2"}

{"warmest_city": "Stockholm", "temperature": 39}


Prompt: Compare the weather in Delhi, Mumbai, Kuala Lumpur. Which city is warmest?

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Delhi"}, "depends_on": [], "output_key": "weather_delhi"}, {"step_id": "step_2", "tool_name": "get_weather", "arguments": {"city": "Mumbai"}, "depends_on": [], "output_key": "weather_mumbai"}, {"step_id": "step_3", "tool_name": "get_weather", "arguments": {"city": "Kuala Lumpur"}, "depends_on": [], "output_key": "weather_kuala_lumpur"}], "final_answer_source": "step_2"}

{"warmest_city": "Mumbai", "temperature": 25}


Prompt: Compare the weather in Edinburgh, Berlin, Seoul. Which city is warmest?

{"steps": [{"step_id": "step_1", "tool_name": "get_weather", "arguments": {"city": "Edinburgh"}, "depends_on": [], "output_key": "weather_edinburgh"}, {"step_id": "step_2", "tool_name": "get_weather", "arguments": {"city": "Berlin"}, "depends_on": [], "output_key": "weather_berlin"}, {"step_id": "step_3", "tool_name": "get_weather", "arguments": {"city": "Seoul"}, "depends_on": [], "output_key": "weather_seoul"}], "final_answer_source": "step_2"}

{"warmest_city": "Berlin", "temperature": 36}


Prompt: Look up prices for TSLA, AAPL, PYPL and tell me which costs most.

{"steps": [{"step_id": "step_1", "tool_name": "get_stock_price", "arguments": {"symbol": "TSLA"}, "depends_on": [], "output_key": "stock_tsla"}, {"step_id": "step_2", "tool_name": "get_stock_price", "arguments": {"symbol": "AAPL"}, "depends_on": [], "output_key": "stock_aapl"}, {"step_id": "step_3", "tool_name": "get_stock_price", "arguments": {"symbol": "PYPL"}, "depends_on": [], "output_key": "stock_pypl"}], "final_answer_source": "step_1"}

{"highest_stock": "TSLA", "price": 238.45}


Prompt: Look up prices for INTC, GOOGL, NFLX and tell me which costs most.

{"steps": [{"step_id": "step_1", "tool_name": "get_stock_price", "arguments": {"symbol": "INTC"}, "depends_on": [], "output_key": "stock_intc"}, {"step_id": "step_2", "tool_name": "get_stock_price", "arguments": {"symbol": "GOOGL"}, "depends_on": [], "output_key": "stock_googl"}, {"step_id": "step_3", "tool_name": "get_stock_price", "arguments": {"symbol": "NFLX"}, "depends_on": [], "output_key": "stock_nflx"}], "final_answer_source": "step_3"}


Prompt: Get current prices of BAC, SQ, MSFT and compare them.

{"steps": [{"step_id": "step_1", "tool_name": "get_stock_price", "arguments": {"symbol": "BAC"}, "depends_on": [], "output_key": "stock_bac"}, {"step_id": "step_2", "tool_name": "get_stock_price", "arguments": {"symbol": "SQ"}, "depends_on": [], "output_key": "stock_sq"}, {"step_id": "step_3", "tool_name": "get_stock_price", "arguments": {"symbol": "MSFT"}, "depends_on": [], "output_key": "stock_msft"}], "final_answer_source": "step_2"}


Prompt: Analyze the sentiment of these texts: 1) "Rude staff and long wait times, very unpleasant visit...." 2) "The quarterly earnings report will be released on Friday...." 3) "Fantastic experience from start to finish!..."

{"steps": [{"step_id": "step_1", "tool_name": "sentiment_analysis", "arguments": {"text": "Rude staff and long wait times, very unpleasant visit."}, "depends_on": [], "output_key": "sentiment_1"}, {"step_id": "step_2", "tool_name": "sentiment_analysis", "arguments": {"text": "The quarterly earnings report will be released on Friday."}, "depends_on": [], "output_key": "sentiment_2"}, {"step_id": "step_3", "tool_name": "sentiment_analysis", "arguments": {"text": "Fantastic experience from start to finish!"}, "depends_on": [], "output_key": "sentiment_3"}], "final_answer_source": "step_1"}

[{"text_length": 54, "sentiment": "neutral", "confidence": 0.5, "positive_signals": 0, "negative_signals": 0}, {"text_length": 57, "sentiment": "neutral", "confidence": 0.5, "positive_signals": 0, "negative_signals": 0}, {"text_length": 42, "sentiment": "positive", "confidence": 1.0, "positive_signals": 1, "negative_signals": 0}]


Prompt: Analyze the sentiment of these texts: 1) "Overpriced and underperforming, would not recommend...." 2) "Great quality and fast shipping, highly recommend!..." 3) "Please submit your expense reports by end of month...."

{"steps": [{"step_id": "step_1", "tool_name": "sentiment_analysis", "arguments": {"text": "Overpriced and underperforming, would not recommend."}, "depends_on": [], "output_key": "sentiment_1"}, {"step_id": "step_2", "tool_name": "sentiment_analysis", "arguments": {"text": "Great quality and fast shipping, highly recommend!"}, "depends_on": [], "output_key": "sentiment_2"}, {"step_id": "step_3", "tool_name": "sentiment_analysis", "arguments": {"text": "Please submit your expense reports by end of month."}, "depends_on": [], "output_key": "sentiment_3"}], "final_answer_source": "step_1"}

[{"text_length": 52, "sentiment": "positive", "confidence": 1.0, "positive_signals": 1, "negative_signals": 0}, {"text_length": 50, "sentiment": "positive", "confidence": 1.0, "positive_signals": 2, "negative_signals": 0}, {"text_length": 51, "sentiment": "neutral", "confidence": 0.5, "positive_signals": 0, "negative_signals": 0}]


Prompt: Analyze the sentiment of these texts: 1) "The parking lot will be repaved starting next Monday...." 2) "The report contains data from Q1 through Q3 of this year...." 3) "The next team meeting will be held in conference room B...."

{"steps": [{"step_id": "step_1", "tool_name": "sentiment_analysis", "arguments": {"text": "The parking lot will be repaved starting next Monday."}, "depends_on": [], "output_key": "sentiment_1"}, {"step_id": "step_2", "tool_name": "sentiment_analysis", "arguments": {"text": "The report contains data from Q1 through Q3 of this year."}, "depends_on": [], "output_key": "sentiment_2"}, {"step_id": "step_3", "tool_name": "sentiment_analysis", "arguments": {"text": "The next team meeting will be held in conference room B."}, "depends_on": [], "output_key": "sentiment_3"}], "final_answer_source": "step_1"}

[{"text_length": 53, "sentiment": "neutral", "confidence": 0.5, "positive_signals": 0, "negative_signals": 0}, {"text_length": 57, "sentiment": "neutral", "confidence": 0.5, "positive_signals": 0, "negative_signals": 0}, {"text_length": 56, "sentiment": "neutral", "confidence": 0.5, "positive_signals": 0, "negative_signals": 0}]


Prompt: Simultaneously search for "quantum computing applications" and find "How does DNA replication work?" in the KB.

{"steps": [{"step_id": "step_1", "tool_name": "web_search", "arguments": {"query": "quantum computing applications"}, "depends_on": [], "output_key": "search"}, {"step_id": "step_2", "tool_name": "knowledge_base_query", "arguments": {"query": "How does DNA replication work?"}, "depends_on": [], "output_key": "kb"}], "final_answer_source": "step_1"}

{"search_results": {"query": "quantum computing applications", "results": [{"title": "Quantum Computing Applications — News Overview", "url": "https://arxiv.org/article/39551", "snippet": "Latest research findings on quantum computing applications from leading institutions and peer-reviewed publications.", "source": "News"}, {"title": "Quantum Computing Applications — Academic Analysis", "url": "https://bbc.com/article/74798", "snippet": "Expert guide to quantum computing applications with detailed explanations, examples, and best practices for practitioners.", "source": "Academic"}, {"title": "Quantum Computing Applications — Forum Guide", "url": "https://reuters.com/article/36239", "snippet": "Comparing different approaches to quantum computing applications — strengths, limitations, and real-world performance.", "source": "Forum"}, {"title": "Quantum Computing Applications — Forum Discussion", "url": "https://medium.com/article/50324", "snippet": "Comparing different approaches to quantum computing applications — strengths, limitations, and real-world performance.", "source": "Forum"}, {"title": "Quantum Computing Applications — Wikipedia Report", "url": "https://en.wikipedia.org/article/71340", "snippet": "A comprehensive overview of quantum computing applications covering key concepts, recent developments, and practical applications.", "source": "Wikipedia"}], "total": 5}, "kb_answer": {"query": "How does DNA replication work?", "domain": "general", "answer": "Based on available knowledge, How does DNA replication work? relates to a topic with multiple facets. Further research may be needed for a complete answer.", "confidence": 0.41, "source": "General Knowledge Base", "found": true}}


Prompt: Simultaneously search for "vertical farming techniques" and find "What year was the internet invented?" in the KB.

{"steps": [{"step_id": "step_1", "tool_name": "web_search", "arguments": {"query": "vertical farming techniques"}, "depends_on": [], "output_key": "search"}, {"step_id": "step_2", "tool_name": "knowledge_base_query", "arguments": {"query": "What year was the internet invented?"}, "depends_on": [], "output_key": "kb"}], "final_answer_source": "step_1"}

{"search_results": {"query": "vertical farming techniques", "results": [{"title": "Vertical Farming Techniques — Academic Overview", "url": "https://bbc.com/article/45678", "snippet": "Expert guide to vertical farming techniques with detailed explanations, examples, and best practices for practitioners.", "source": "Academic"}, {"title": "Vertical Farming Techniques — Academic Analysis", "url": "https://sciencedirect.com/article/59393", "snippet": "Expert guide to vertical farming techniques with detailed explanations, examples, and best practices for practitioners.", "source": "Academic"}, {"title": "Vertical Farming Techniques — News Guide", "url": "https://stackoverflow.com/article/70376", "snippet": "Latest research findings on vertical farming techniques from leading institutions and peer-reviewed publications.", "source": "News"}, {"title": "Vertical Farming Techniques — Wikipedia Discussion", "url": "https://en.wikipedia.org/article/42510", "snippet": "A comprehensive overview of vertical farming techniques covering key concepts, recent developments, and practical applications.", "source": "Wikipedia"}, {"title": "Vertical Farming Techniques — Academic Report", "url": "https://sciencedirect.com/article/58743", "snippet": "Expert guide to vertical farming techniques with detailed explanations, examples, and best practices for practitioners.", "source": "Academic"}], "total": 5}, "kb_answer": {"query": "What year was the internet invented?", "domain": "general", "answer": "Based on available knowledge, What year was the internet invented? relates to a topic with multiple facets. Further research may be needed for a complete answer.", "confidence": 0.4, "source": "General Knowledge Base", "found": true}}


Prompt: Simultaneously search for "cybersecurity best practices" and find "What is the deepest ocean trench?" in the KB.

{"steps": [{"step_id": "step_1", "tool_name": "web_search", "arguments": {"query": "cybersecurity best practices"}, "depends_on": [], "output_key": "search"}, {"step_id": "step_2", "tool_name": "knowledge_base_query", "arguments": {"query": "What is the deepest ocean trench?"}, "depends_on": [], "output_key": "kb"}], "final_answer_source": "step_1"}

{"search_results": {"query": "cybersecurity best practices", "results": [{"title": "Cybersecurity Best Practices — Blog Overview", "url": "https://nature.com/article/2112", "snippet": "cybersecurity best practices: analysis of current trends, methodologies, and future directions in the field.", "source": "Blog"}, {"title": "Cybersecurity Best Practices — Blog Analysis", "url": "https://nature.com/article/8162", "snippet": "cybersecurity best practices: analysis of current trends, methodologies, and future directions in the field.", "source": "Blog"}, {"title": "Cybersecurity Best Practices — Academic Guide", "url": "https://sciencedirect.com/article/40953", "snippet": "Expert guide to cybersecurity best practices with detailed explanations, examples, and best practices for practitioners.", "source": "Academic"}, {"title": "Cybersecurity Best Practices — Academic Discussion", "url": "https://bbc.com/article/32798", "snippet": "Expert guide to cybersecurity best practices with detailed explanations, examples, and best practices for practitioners.", "source": "Academic"}, {"title": "Cybersecurity Best Practices — Wikipedia Report", "url": "https://en.wikipedia.org/article/78310", "snippet": "A comprehensive overview of cybersecurity best practices covering key concepts, recent developments, and practical applications.", "source": "Wikipedia"}], "total": 5}, "kb_answer": {"query": "What is the deepest ocean trench?", "domain": "general", "answer": "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.", "confidence": 0.64, "source": "General Knowledge Base", "found": true}}


Prompt: Hash the text "The global economy is undergoing a period of significant tra..." using sha256, md5, and sha512 simultaneously.

{"steps": [{"step_id": "step_1", "tool_name": "hash_text", "arguments": {"text": "The global economy is undergoing a period of significant transformation. Digital technologies are reshaping traditional business models.", "algorithm": "sha256"}, "depends_on": [], "output_key": "hash_sha256"}, {"step_id": "step_2", "tool_name": "hash_text", "arguments": {"text": "The global economy is undergoing a period of significant transformation. Digital technologies are reshaping traditional business models.", "algorithm": "md5"}, "depends_on": [], "output_key": "hash_md5"}, {"step_id": "step_3", "tool_name": "hash_text", "arguments": {"text": "The global economy is undergoing a period of significant transformation. Digital technologies are reshaping traditional business models.", "algorithm": "sha512"}, "depends_on": [], "output_key": "hash_sha512"}], "final_answer_source": "step_1"}


Prompt: Generate all three hashes (SHA-256, MD5, SHA-512) for: "Artificial intelligence has made remarkable progress in rece..."

{"steps": [{"step_id": "step_1", "tool_name": "hash_text", "arguments": {"text": "Artificial intelligence has made remarkable progress in recent years. Machine learning models can now perform complex tasks that were once thought impossible.", "algorithm": "sha256"}, "depends_on": [], "output_key": "hash_sha256"}, {"step_id": "step_2", "tool_name": "hash_text", "arguments": {"text": "Artificial intelligence has made remarkable progress in recent years. Machine learning models can now perform complex tasks that were once thought impossible.", "algorithm": "md5"}, "depends_on": [], "output_key": "hash_md5"}, {"step_id": "step_3", "tool_name": "hash_text", "arguments": {"text": "Artificial intelligence has made remarkable progress in recent years. Machine learning models can now perform complex tasks that were once thought impossible.", "algorithm": "sha512"}, "depends_on": [], "output_key": "hash_sha512"}], "final_answer_source": "step_1"}


Prompt: Hash the text "The future of transportation includes hyperloop systems and ..." using sha256, md5, and sha512 simultaneously.

{"steps": [{"step_id": "step_1", "tool_name": "hash_text", "arguments": {"text": "The future of transportation includes hyperloop systems and urban air mobility. These technologies aim to reduce travel times significantly.", "algorithm": "sha256"}, "depends_on": [], "output_key": "hash_sha256"}, {"step_id": "step_2", "tool_name": "hash_text", "arguments": {"text": "The future of transportation includes hyperloop systems and urban air mobility. These technologies aim to reduce travel times significantly.", "algorithm": "md5"}, "depends_on": [], "output_key": "hash_md5"}, {"step_id": "step_3", "tool_name": "hash_text", "arguments": {"text": "The future of transportation includes hyperloop systems and urban air mobility. These technologies aim to reduce travel times significantly.", "algorithm": "sha512"}, "depends_on": [], "output_key": "hash_sha512"}], "final_answer_source": "step_1"}


Prompt: Get the value of 2185.07 NZD in each of INR, CAD, THB.

{"steps": [{"step_id": "step_1", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "NZD", "to_currency": "INR", "amount": 2185.07}, "depends_on": [], "output_key": "exchange_inr"}, {"step_id": "step_2", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "NZD", "to_currency": "CAD", "amount": 2185.07}, "depends_on": [], "output_key": "exchange_cad"}, {"step_id": "step_3", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "NZD", "to_currency": "THB", "amount": 2185.07}, "depends_on": [], "output_key": "exchange_thb"}], "final_answer_source": "step_1"}

{"INR": {"from_currency": "NZD", "to_currency": "INR", "rate": 83.12, "amount": 2185.07, "converted_amount": 181623.0184}, "CAD": {"from_currency": "NZD", "to_currency": "CAD", "rate": 1.36, "amount": 2185.07, "converted_amount": 2971.6952}, "THB": {"from_currency": "NZD", "to_currency": "THB", "rate": 1.0, "amount": 2185.07, "converted_amount": 2185.07}}


Prompt: Exchange 4290.09 HKD into BRL, RUB, JPY at the same time.

{"steps": [{"step_id": "step_1", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "HKD", "to_currency": "BRL", "amount": 4290.09}, "depends_on": [], "output_key": "exchange_brl"}, {"step_id": "step_2", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "HKD", "to_currency": "RUB", "amount": 4290.09}, "depends_on": [], "output_key": "exchange_rub"}, {"step_id": "step_3", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "HKD", "to_currency": "JPY", "amount": 4290.09}, "depends_on": [], "output_key": "exchange_jpy"}], "final_answer_source": "step_1"}


Prompt: Convert 193.12 KRW to RUB, HKD, PLN simultaneously.

{"steps": [{"step_id": "step_1", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "KRW", "to_currency": "RUB", "amount": 193.12}, "depends_on": [], "output_key": "exchange_rub"}, {"step_id": "step_2", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "KRW", "to_currency": "HKD", "amount": 193.12}, "depends_on": [], "output_key": "exchange_hkd"}, {"step_id": "step_3", "tool_name": "get_exchange_rate", "arguments": {"from_currency": "KRW", "to_currency": "PLN", "amount": 193.12}, "depends_on": [], "output_key": "exchange_pln"}], "final_answer_source": "step_1"}

{"RUB": {"from_currency": "KRW", "to_currency": "RUB", "rate": 0.000754, "amount": 193.12, "converted_amount": 0.1457}, "HKD": {"from_currency": "KRW", "to_currency": "HKD", "rate": 0.0059, "amount": 193.12, "converted_amount": 1.1393}, "PLN": {"from_currency": "KRW", "to_currency": "PLN", "rate": 0.000754, "amount": 193.12, "converted_amount": 0.1457}}


Prompt: Display the date 2025-07-04 in short format, long format, and ISO format at once.

{"steps": [{"step_id": "step_1", "tool_name": "format_date", "arguments": {"date": "2025-07-04", "format": "short"}, "depends_on": [], "output_key": "date_short"}, {"step_id": "step_2", "tool_name": "format_date", "arguments": {"date": "2025-07-04", "format": "long"}, "depends_on": [], "output_key": "date_long"}, {"step_id": "step_3", "tool_name": "format_date", "arguments": {"date": "2025-07-04", "format": "iso"}, "depends_on": [], "output_key": "date_iso"}], "final_answer_source": "step_1"}


Prompt: Display the date 2025-11-15 in short format, long format, and ISO format at once.

{"steps": [{"step_id": "step_1", "tool_name": "format_date", "arguments": {"date": "2025-11-15", "format": "short"}, "depends_on": [], "output_key": "date_short"}, {"step_id": "step_2", "tool_name": "format_date", "arguments": {"date": "2025-11-15", "format": "long"}, "depends_on": [], "output_key": "date_long"}, {"step_id": "step_3", "tool_name": "format_date", "arguments": {"date": "2025-11-15", "format": "iso"}, "depends_on": [], "output_key": "date_iso"}], "final_answer_source": "step_1"}


Prompt: Convert 2026-06-01 into short, long, and ISO date representations.

{"steps": [{"step_id": "step_1", "tool_name": "format_date", "arguments": {"date": "2026-06-01", "format": "short"}, "depends_on": [], "output_key": "date_short"}, {"step_id": "step_2", "tool_name": "format_date", "arguments": {"date": "2026-06-01", "format": "long"}, "depends_on": [], "output_key": "date_long"}, {"step_id": "step_3", "tool_name": "format_date", "arguments": {"date": "2026-06-01", "format": "iso"}, "depends_on": [], "output_key": "date_iso"}], "final_answer_source": "step_1"}


Prompt: Extract keywords from these three texts: 1) "Water scarcity is a growing global concern affecti..." 2) "The gig economy continues to grow, raising questio..." 3) "The future of transportation includes hyperloop sy..."

{"steps": [{"step_id": "step_1", "tool_name": "keyword_extract", "arguments": {"text": "Water scarcity is a growing global concern affecting billions of people. Desalination and water recycling technologies are crucial."}, "depends_on": [], "output_key": "keywords_1"}, {"step_id": "step_2", "tool_name": "keyword_extract", "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": "keywords_2"}, {"step_id": "step_3", "tool_name": "keyword_extract", "arguments": {"text": "The future of transportation includes hyperloop systems and urban air mobility. These technologies aim to reduce travel times significantly."}, "depends_on": [], "output_key": "keywords_3"}], "final_answer_source": "step_1"}

[{"keywords": ["water", "scarcity", "growing", "global", "concern"], "scores": [1.0, 0.5, 0.5, 0.5, 0.5]}, {"keywords": ["gig", "economy", "continues", "grow", "raising"], "scores": [1.0, 1.0, 1.0, 1.0, 1.0]}, {"keywords": ["future", "transportation", "includes", "hyperloop", "systems"], "scores": [1.0, 1.0, 1.0, 1.0, 1.0]}]


Prompt: Find the key terms in each of these texts simultaneously: "The rise of remote work has fundamentally changed ...", "Biodegradable materials are replacing traditional ...", "Cybersecurity threats are becoming more sophistica..."

{"steps": [{"step_id": "step_1", "tool_name": "keyword_extract", "arguments": {"text": "The rise of remote work has fundamentally changed workplace dynamics. Companies are rethinking office spaces and collaboration tools."}, "depends_on": [], "output_key": "keywords_1"}, {"step_id": "step_2", "tool_name": "keyword_extract", "arguments": {"text": "Biodegradable materials are replacing traditional plastics in packaging. Consumer demand is driving innovation in sustainable materials."}, "depends_on": [], "output_key": "keywords_2"}, {"step_id": "step_3", "tool_name": "keyword_extract", "arguments": {"text": "Cybersecurity threats are becoming more sophisticated. Organizations must invest in robust security infrastructure and training."}, "depends_on": [], "output_key": "keywords_3"}], "final_answer_source": "step_1"}

[{"keywords": ["rise", "remote", "work", "fundamentally", "changed"], "scores": [1.0, 1.0, 1.0, 1.0, 1.0]}, {"keywords": ["materials", "biodegradable", "replacing", "traditional", "plastics"], "scores": [1.0, 0.5, 0.5, 0.5, 0.5]}, {"keywords": ["cybersecurity", "threats", "becoming", "sophisticated", "organizations"], "scores": [1.0, 1.0, 1.0, 1.0, 1.0]}]


Prompt: Extract keywords from these three texts: 1) "Artificial intelligence has made remarkable progre..." 2) "Water scarcity is a growing global concern affecti..." 3) "The metaverse concept is evolving from gaming to b..."

{"steps": [{"step_id": "step_1", "tool_name": "keyword_extract", "arguments": {"text": "Artificial intelligence has made remarkable progress in recent years. Machine learning models can now perform complex tasks that were once thought impossible."}, "depends_on": [], "output_key": "keywords_1"}, {"step_id": "step_2", "tool_name": "keyword_extract", "arguments": {"text": "Water scarcity is a growing global concern affecting billions of people. Desalination and water recycling technologies are crucial."}, "depends_on": [], "output_key": "keywords_2"}, {"step_id": "step_3", "tool_name": "keyword_extract", "arguments": {"text": "The metaverse concept is evolving from gaming to business applications. Virtual reality meetings and digital workspaces are becoming mainstream."}, "depends_on": [], "output_key": "keywords_3"}], "final_answer_source": "step_1"}

[{"keywords": ["artificial", "intelligence", "made", "remarkable", "progress"], "scores": [1.0, 1.0, 1.0, 1.0, 1.0]}, {"keywords": ["water", "scarcity", "growing", "global", "concern"], "scores": [1.0, 0.5, 0.5, 0.5, 0.5]}, {"keywords": ["metaverse", "concept", "evolving", "gaming", "business"], "scores": [1.0, 1.0, 1.0, 1.0, 1.0]}]


Prompt: Detect the language of each text: 1) "Las calles de la ciudad están llenas de gente disf..." 2) "The weather is beautiful today and I feel great." 3) "Kunstmatige intelligentie heeft de manier waarop w..."

{"steps": [{"step_id": "step_1", "tool_name": "detect_language", "arguments": {"text": "Las calles de la ciudad están llenas de gente disfrutando del sol del fin de semana."}, "depends_on": [], "output_key": "lang_1"}, {"step_id": "step_2", "tool_name": "detect_language", "arguments": {"text": "The weather is beautiful today and I feel great."}, "depends_on": [], "output_key": "lang_2"}, {"step_id": "step_3", "tool_name": "detect_language", "arguments": {"text": "Kunstmatige intelligentie heeft de manier waarop we werken en leven gerevolutioneerd."}, "depends_on": [], "output_key": "lang_3"}], "final_answer_source": "step_1"}

[{"language": "Spanish", "language_code": "es", "confidence": 0.44}, {"language": "English", "language_code": "en", "confidence": 0.75}, {"language": "French", "language_code": "fr", "confidence": 0.33}]