Could you provide the analysis trail for project SUPERFANCY with the component UUID AB1010CD and the vulnerability ID ef903ac-893-f00?

Retrieve the current version information of the application, including the application name and its version number.

Adds an Access Control List (ACL) mapping to define permissions for a user or group.

The unique identifier for the user or group.

The unique identifier of the resource for which access is being defined.

The level of access being granted.

Removes an ACL (Access Control List) mapping for a specified team and project.

The UUID of the team for which the ACL mapping is to be removed.

The UUID of the project for which the ACL mapping is to be removed.

Retrieve the list of projects assigned to a specified team, with options to exclude inactive projects and/or only include root projects.

The unique identifier of the team for which to retrieve project mappings.

If true, inactive projects will not be included in the response.

If true, only root projects will be included in the response.

Retrieves the trail of analysis actions for a given vulnerability within a specified component of a project.

The UUID of the project to retrieve the analysis from. For example, '123e4567-e89b-12d3-a456-426614174000' or 'PROJECTGO.

The UUID of the component associated with the analysis. For example, '123e4567-e89b-12d3-a456-426614174001'.

The UUID of the vulnerability to retrieve the analysis trail for. For example, '123e4567-e89b-12d3-a456-426614174002'.


Could you add 'read' permissions for user with principal ID 'user-123' to the resource with ID 'resource-456'?

The level of access being granted.

The UUID of the project to retrieve the analysis from. For example, '123e4567-e89b-12d3-a456-426614174000'.


Could you tell me the current version of the application, including its name?

The level of access being granted.


Get application name and version.

The level of access being granted.


Could you provide the current version information of the application, including the application name and its version number?

The level of access being granted.


Can you tell me the current version information of the application, including the name and version number?

The level of access being granted.


Could you determine the distance to the closest leading object for our vehicle? Here's the data: our car's position is at 10.5 meters laterally and 50 meters longitudinally, with an orientation of 30 degrees. The lane we're in has an ID of 'L123' and it's a regular type. We've detected several objects, but the closest has a bounding box with x coordinate 60.2 meters and y coordinate 12.3 meters.

Calculates the headway, which is the distance from the front of the ego vehicle to the closest leading object, using curvilinear coordinates. This function requires the ego vehicle's information, the detected lane, and the 3D bounding boxes from perception data.

Information about the ego vehicle, including its position and orientation.

Curvilinear coordinates of the ego vehicle, consisting of lateral and longitudinal positions.

Lateral position of the ego vehicle in meters.

Longitudinal position of the ego vehicle in meters.

Orientation of the ego vehicle in degrees.

Information about the detected lane.

Unique identifier for the detected lane.

Type of the lane.

List of 3D bounding boxes representing detected objects. Each bounding box should include dimensions and the object's position relative to the ego vehicle.

Calculates the time headway (THW), which is the time it will take for the ego vehicle to reach the closest leading object in curvilinear coordinates. Inputs include the ego vehicle's information, the detected lane, and the 3D bounding boxes of the perceived objects.

Contains the ego vehicle's current position and velocity.

The vehicle's current position as a tuple of x, y, and z coordinates (meters).

The vehicle's current velocity in meters per second (m/s).

Information about the detected lane, including its curvature and width.

The curvature of the lane at the ego vehicle's position (1/meters).

The width of the lane in meters (m).

List of 3D bounding boxes representing perceived objects. Each bounding box is described by its position and size.

List of velocities of the detected objects in meters per second (m/s).

List of accelerations of the detected objects in meters per second squared (m/s^2).

Calculates the time it will take for the ego vehicle to collide with the closest leading object in curvilinear coordinates, considering both vehicles' velocities and the leading object's acceleration.

The current velocity of the ego vehicle in meters per second.

The current acceleration of the ego vehicle in meters per second squared.

The current velocity of the leading object in meters per second.

The current acceleration of the leading object in meters per second squared.

The initial distance between the ego vehicle and the leading object in meters.


Can you tell me how long it will take for my car to collide with the vehicle in front if I'm going at 50 meters per second, my acceleration is -2 meters per second squared, the leading vehicle is traveling at 30 meters per second with an acceleration of -1 meter per second squared, and the initial distance between us is 100 meters?

Calculates the headway, which is the distance from the front of the ego vehicle to the closest leading object, using curvilinear coordinates. This function requires the ego vehicle's information, the detected lane, and the 3D bounding boxes from perception data.

Information about the ego vehicle, including its position and orientation.

Curvilinear coordinates of the ego vehicle, consisting of lateral and longitudinal positions.

Lateral position of the ego vehicle in meters.

Longitudinal position of the ego vehicle in meters.

Orientation of the ego vehicle in degrees.

Information about the detected lane.

Unique identifier for the detected lane.

Type of the lane.

List of 3D bounding boxes representing detected objects. Each bounding box should include dimensions and the object's position relative to the ego vehicle.

Calculates the time headway (THW), which is the time it will take for the ego vehicle to reach the closest leading object in curvilinear coordinates. Inputs include the ego vehicle's information, the detected lane, and the 3D bounding boxes of the perceived objects.

Contains the ego vehicle's current position and velocity.

The vehicle's current position as a tuple of x, y, and z coordinates (meters).

The vehicle's current velocity in meters per second (m/s).

Information about the detected lane, including its curvature and width.

The curvature of the lane at the ego vehicle's position (1/meters).

The width of the lane in meters (m).

List of 3D bounding boxes representing perceived objects. Each bounding box is described by its position and size.

List of velocities of the detected objects in meters per second (m/s).

List of accelerations of the detected objects in meters per second squared (m/s^2).

Calculates the time it will take for the ego vehicle to collide with the closest leading object in curvilinear coordinates, considering both vehicles' velocities and the leading object's acceleration.

The current velocity of the ego vehicle in meters per second.

The current acceleration of the ego vehicle in meters per second squared.

The current velocity of the leading object in meters per second.

The current acceleration of the leading object in meters per second squared.

The initial distance between the ego vehicle and the leading object in meters.


What is the estimated time until collision if my car is traveling at a velocity of 20 m/s, accelerating at 2 m/s^2, and the vehicle ahead is moving at 15 m/s with an acceleration of 1 m/s^2, given that the initial distance between us is 50 meters?

Calculates the headway, which is the distance from the front of the ego vehicle to the closest leading object, using curvilinear coordinates. This function requires the ego vehicle's information, the detected lane, and the 3D bounding boxes from perception data.

Information about the ego vehicle, including its position and orientation.

Curvilinear coordinates of the ego vehicle, consisting of lateral and longitudinal positions.

Lateral position of the ego vehicle in meters.

Longitudinal position of the ego vehicle in meters.

Orientation of the ego vehicle in degrees.

Information about the detected lane.

Unique identifier for the detected lane.

Type of the lane.

List of 3D bounding boxes representing detected objects. Each bounding box should include dimensions and the object's position relative to the ego vehicle.

Calculates the time headway (THW), which is the time it will take for the ego vehicle to reach the closest leading object in curvilinear coordinates. Inputs include the ego vehicle's information, the detected lane, and the 3D bounding boxes of the perceived objects.

Contains the ego vehicle's current position and velocity.

The vehicle's current position as a tuple of x, y, and z coordinates (meters).

The vehicle's current velocity in meters per second (m/s).

Information about the detected lane, including its curvature and width.

The curvature of the lane at the ego vehicle's position (1/meters).

The width of the lane in meters (m).

List of 3D bounding boxes representing perceived objects. Each bounding box is described by its position and size.

List of velocities of the detected objects in meters per second (m/s).

List of accelerations of the detected objects in meters per second squared (m/s^2).

Calculates the time it will take for the ego vehicle to collide with the closest leading object in curvilinear coordinates, considering both vehicles' velocities and the leading object's acceleration.

The current velocity of the ego vehicle in meters per second.

The current acceleration of the ego vehicle in meters per second squared.

The current velocity of the leading object in meters per second.

The current acceleration of the leading object in meters per second squared.

The initial distance between the ego vehicle and the leading object in meters.


You are a helpful assistant

You are an Generative AI functions agent which generates the output mentioning which function to be called from the given list. Strictly use the mentioned functions only to generate the output.
 Functions to use:['multiply', 'add', 'sub', 'fahrenheit_to_celsius', 'celsius_to_fahrenheit', 'duck_duck_go']
  'What is LangFuse and how can I use it in my genAI project?'

multiply

Performs multiplication of two integers and returns the product.

The first integer to be multiplied.

The second integer to be multiplied.

add

Performs addition of two integers and returns the result.

The first integer to add.

The second integer to add.

sub

Subtracts the second integer from the first integer and returns the result.

The minuend integer from which the subtrahend will be subtracted.

The subtrahend integer to be subtracted from the minuend.

Convert a temperature from Fahrenheit to Celsius. This function takes a temperature value in Fahrenheit and returns the converted temperature in Celsius.

Temperature in degrees Fahrenheit.

Converts temperature from Celsius to Fahrenheit.

The temperature in degrees Celsius that needs to be converted to Fahrenheit.

A simple wrapper function for the Duck Duck Go Search API. It takes a search query and returns a JSON array containing the search results, which may include answers to questions about current events, general information, and web links.

The search query to look up. It should be a string representing the user's search input. For example, 'latest NASA news' or 'python programming'.

The desired response format. Options include 'json', 'xml', and 'plaintext'.

A flag indicating whether to prevent redirection to an answer page. If set to true, the search will not redirect to an answer page if one is found.

A flag indicating whether to strip HTML from the search results. Set to true to remove HTML.

When true, the search results will skip over disambiguation pages.


You are an Generative AI functions agent which generates the output mentioning which function to be called from the given list. Strictly use the mentioned functions only to generate the output. You have access to below tools
[{'name': 'multiply', 'description': 'multiply(a: int, b: int) -> int - Performs multiplication of the given numbers\n    \n    Args:\n        a (int): Number a\n        b (int): Number b\n    \n    Returns:\n        int: Multiplication of a and b.', 'parameters': {'type': 'object', 'properties': {'a': {'type': 'integer'}, 'b': {'type': 'integer'}}, 'required': ['a', 'b']}}, {'name': 'add', 'description': 'add(a: int, b: int) -> int - Addition of the given numbers\n    \n    Args:\n        a (int): Number a\n        b (int): Number b\n    \n    Returns:\n        int: Adds of a and b.', 'parameters': {'type': 'object', 'properties': {'a': {'type': 'integer'}, 'b': {'type': 'integer'}}, 'required': ['a', 'b']}}, {'name': 'sub', 'description': 'sub(a: int, b: int) -> int - Substracts two numbers.\n    \n    Args:\n        a (int): Number a\n        b (int): Number b\n    \n    Returns:\n        int: Substracts of a and b.', 'parameters': {'type': 'object', 'properties': {'a': {'type': 'integer'}, 'b': {'type': 'integer'}}, 'required': ['a', 'b']}}, {'name': 'fahrenheit_to_celsius', 'description': 'fahrenheit_to_celsius(fahrenheit: float) -> float - Convert temperature from Fahrenheit to Celsius.\n\n    Args:\n    fahrenheit (float): Temperature in Fahrenheit\n\n    Returns:\n    float: Temperature converted to Celsius', 'parameters': {'type': 'object', 'properties': {'fahrenheit': {'type': 'number'}}, 'required': ['fahrenheit']}}, {'name': 'celsius_to_fahrenheit', 'description': 'celsius_to_fahrenheit(celsius: float) -> float - Convert temperature from Celsius to Fahrenheit.\n\n    Args:\n    celsius (float): Temperature in Celsius\n\n    Returns:\n    float: Temperature converted to Fahrenheit', 'parameters': {'type': 'object', 'properties': {'celsius': {'type': 'number'}}, 'required': ['celsius']}}, {'name': 'duck_duck_go', 'description': 'A wrapper around Duck Duck Go Search. Useful for when you need to answer questions about current events. Input should be a search query. Output is a JSON array of the query results', 'parameters': {'type': 'object', 'properties': {'query': {'description': 'search query to look up', 'type': 'string'}}, 'required': ['query']}}]

QUERY:3 of my friends gave me 10 euros each, how much do I have now?
 Functions to use:['multiply', 'add', 'sub', 'fahrenheit_to_celsius', 'celsius_to_fahrenheit', 'duck_duck_go']

multiply

The first integer to be multiplied.

The second integer to be multiplied.

add

The first integer to add.

The second integer to add.

Temperature in degrees Fahrenheit.

The search query to look up. It should be a string representing the user's search input. For example, 'latest NASA news' or 'python programming'.


Give me an analysis trail for my project SUPERFANCY with component UUID AB1010CD and vulnerability ef903ac-893-f00

Retrieve a list of projects assigned to the specified team, with options to exclude inactive projects and/or omit child projects.

The unique identifier of the team for which projects are being retrieved.

If set to true, inactive projects will not be included in the response.

If set to true, only root projects will be returned, excluding their child projects.

Retrieves the detailed analysis trail for a given project, component, and vulnerability.

The unique identifier (UUID) of the project for which the analysis trail is retrieved.

The unique identifier (UUID) of the component associated with the project.

The unique identifier (UUID) of the vulnerability within the component.


Find some information on the history of kites and how they're made?

Conducts a search based on the provided prompt and returns relevant real-time information, specific details, or general facts from various sources, including internet browsing and data from Google.

The search query to be executed by the search engine. Example: 'latest scientific discoveries'.

Filter results to include only information published after the specified year. Default to the current year if not provided.

Preferred source for the search results, such as 'all', 'internet', or 'google'.

Indicates whether to include factual information in the search results. Default is true.

Generate an image based on a given text prompt. The function is versatile and can be used for various general purposes without specializing in any specific category.

The text prompt that describes the desired content of the image.

The file format for the output image.

The width of the generated image in pixels.

The height of the generated image in pixels.

The color mode of the image.

Generates a realistic image of a human based on the provided prompt, with options for creating images representing different age groups and genders.

A descriptive text guiding the generation of the human image, such as 'a smiling girl with blue eyes' or 'an elderly man playing chess'.

The desired quality of the generated image, affecting the level of detail and realism. Options include 'low', 'medium', and 'high'.

Determines whether a background should be included in the generated image.

Specifies the file format for the output image.


Generate a digital image of a man wearing a red dress.

Executes a search query and retrieves relevant real-time information, specific details, or general facts from the internet, with an option to filter results from the year 2022 onwards.

The search query string to be executed by the search engine.

A flag to include only information published after the year 2022.

Preferred source for retrieving information. If unspecified, the search encompasses all available sources.

Generate a digital image based on a text-based prompt, suitable for various general applications.

The text description used to guide the image generation process.

The desired resolution for the generated image, in the format 'WIDTHxHEIGHT' (e.g., '1920x1080').

The color mode of the image.

The quality of the generated image on a scale of 1 to 100, where 100 is the highest quality.

Generates a digital image of a human subject based on the provided text prompt. This function is tailored to create images representing different human demographics such as girls, boys, women, men, and children.

The text prompt describing the desired characteristics of the human image to be generated. For example, 'a smiling girl with blue eyes'.

The desired quality level of the generated image.

The file format for the generated image.

Specifies whether to include metadata about the generated image, such as creation time and prompt details.

Interact with a multilingual large language model (LLM) to generate text-based answers in various languages, excluding real-time data and information post-2022. Suitable for processing prompts in languages such as Hindi, Arabic, Marathi, etc.

The prompt for the LLM, provided in a supported language other than English. The format should be plain text.

The language of the input prompt.

The maximum length of the response in number of tokens (words or punctuation).

The creativity level of the response, ranging from 0.0 (deterministic) to 1.0 (more creative).

This function provides interaction with an English large language model (LLM) to generate text-based answers. It operates exclusively on English language prompts and does not include real-time data or information post-2022.

The English language prompt for the LLM to process and generate a response.

The maximum number of tokens to generate in the response. One token roughly corresponds to one word.

The creativity level of the response, with a scale from 0.0 (deterministic) to 1.0 (creative).

Whether to return the probabilities of the generated tokens. If set to true, the response will include the likelihood of each token.


Can you search for the current prime minister of India, ensuring that the information is from after 2022?

Executes a search query and retrieves relevant real-time information, specific details, or general facts from the internet, with an option to filter results from the year 2022 onwards.

The search query string to be executed by the search engine.

A flag to include only information published after the year 2022.

Preferred source for retrieving information. If unspecified, the search encompasses all available sources.

Generate a digital image based on a text-based prompt, suitable for various general applications.

The text description used to guide the image generation process.

The desired resolution for the generated image, in the format 'WIDTHxHEIGHT' (e.g., '1920x1080').

The color mode of the image.

The quality of the generated image on a scale of 1 to 100, where 100 is the highest quality.

Generates a digital image of a human subject based on the provided text prompt. This function is tailored to create images representing different human demographics such as girls, boys, women, men, and children.

The text prompt describing the desired characteristics of the human image to be generated. For example, 'a smiling girl with blue eyes'.

The desired quality level of the generated image.

The file format for the generated image.

Specifies whether to include metadata about the generated image, such as creation time and prompt details.

Interact with a multilingual large language model (LLM) to generate text-based answers in various languages, excluding real-time data and information post-2022. Suitable for processing prompts in languages such as Hindi, Arabic, Marathi, etc.

The prompt for the LLM, provided in a supported language other than English. The format should be plain text.

The language of the input prompt.

The maximum length of the response in number of tokens (words or punctuation).

The creativity level of the response, ranging from 0.0 (deterministic) to 1.0 (more creative).

This function provides interaction with an English large language model (LLM) to generate text-based answers. It operates exclusively on English language prompts and does not include real-time data or information post-2022.

The English language prompt for the LLM to process and generate a response.

The maximum number of tokens to generate in the response. One token roughly corresponds to one word.

The creativity level of the response, with a scale from 0.0 (deterministic) to 1.0 (creative).

Whether to return the probabilities of the generated tokens. If set to true, the response will include the likelihood of each token.


I'd like to read a poem about kites. Could you generate one with a creative touch?

Executes a search query and retrieves relevant real-time information, specific details, or general facts from the internet, with an option to filter results from the year 2022 onwards.

The search query string to be executed by the search engine.

A flag to include only information published after the year 2022.

Preferred source for retrieving information. If unspecified, the search encompasses all available sources.

Generate a digital image based on a text-based prompt, suitable for various general applications.

The text description used to guide the image generation process.

The desired resolution for the generated image, in the format 'WIDTHxHEIGHT' (e.g., '1920x1080').

The color mode of the image.

The quality of the generated image on a scale of 1 to 100, where 100 is the highest quality.

Generates a digital image of a human subject based on the provided text prompt. This function is tailored to create images representing different human demographics such as girls, boys, women, men, and children.

The text prompt describing the desired characteristics of the human image to be generated. For example, 'a smiling girl with blue eyes'.

The desired quality level of the generated image.

The file format for the generated image.

Specifies whether to include metadata about the generated image, such as creation time and prompt details.

Interact with a multilingual large language model (LLM) to generate text-based answers in various languages, excluding real-time data and information post-2022. Suitable for processing prompts in languages such as Hindi, Arabic, Marathi, etc.

The prompt for the LLM, provided in a supported language other than English. The format should be plain text.

The language of the input prompt.

The maximum length of the response in number of tokens (words or punctuation).

The creativity level of the response, ranging from 0.0 (deterministic) to 1.0 (more creative).

This function provides interaction with an English large language model (LLM) to generate text-based answers. It operates exclusively on English language prompts and does not include real-time data or information post-2022.

The English language prompt for the LLM to process and generate a response.

The maximum number of tokens to generate in the response. One token roughly corresponds to one word.

The creativity level of the response, with a scale from 0.0 (deterministic) to 1.0 (creative).

Whether to return the probabilities of the generated tokens. If set to true, the response will include the likelihood of each token.


चाय कैसे बनाएं?

Executes a search query and retrieves relevant real-time information, specific details, or general facts from the internet, with an option to filter results from the year 2022 onwards.

The search query string to be executed by the search engine.

A flag to include only information published after the year 2022.

Preferred source for retrieving information. If unspecified, the search encompasses all available sources.

Generate a digital image based on a text-based prompt, suitable for various general applications.

The text description used to guide the image generation process.

The desired resolution for the generated image, in the format 'WIDTHxHEIGHT' (e.g., '1920x1080').

The color mode of the image.

The quality of the generated image on a scale of 1 to 100, where 100 is the highest quality.

Generates a digital image of a human subject based on the provided text prompt. This function is tailored to create images representing different human demographics such as girls, boys, women, men, and children.

The text prompt describing the desired characteristics of the human image to be generated. For example, 'a smiling girl with blue eyes'.

The desired quality level of the generated image.

The file format for the generated image.

Specifies whether to include metadata about the generated image, such as creation time and prompt details.

Interact with a multilingual large language model (LLM) to generate text-based answers in various languages, excluding real-time data and information post-2022. Suitable for processing prompts in languages such as Hindi, Arabic, Marathi, etc.

The prompt for the LLM, provided in a supported language other than English. The format should be plain text.

The language of the input prompt.

The maximum length of the response in number of tokens (words or punctuation).

The creativity level of the response, ranging from 0.0 (deterministic) to 1.0 (more creative).

This function provides interaction with an English large language model (LLM) to generate text-based answers. It operates exclusively on English language prompts and does not include real-time data or information post-2022.

The English language prompt for the LLM to process and generate a response.

The maximum number of tokens to generate in the response. One token roughly corresponds to one word.

The creativity level of the response, with a scale from 0.0 (deterministic) to 1.0 (creative).

Whether to return the probabilities of the generated tokens. If set to true, the response will include the likelihood of each token.


You are a helpful assistant with access to various functions, which you should use as needed. Your last knowledge update was in October 2021; therefore, you should use a search engine to retrieve any real-time information, specific details, and facts about events, news articles, and developments that occurred after October 2021. Use the available functions to complete tasks whenever applicable.

 SYSTEM INFORMATION: Current date/time: 04 Mar 2024, 09:15 PM (UTC Timezone). Knowledge date cutoff: 31 October 2021.

----

 "who is the current pm of india"

Executes a search query and retrieves relevant real-time information, specific details, or general facts from the internet, with an option to filter results from the year 2022 onwards.

The search query string to be executed by the search engine.

A flag to include only information published after the year 2022.

Preferred source for retrieving information. If unspecified, the search encompasses all available sources.

Generate a digital image based on a text-based prompt, suitable for various general applications.

The text description used to guide the image generation process.

The desired resolution for the generated image, in the format 'WIDTHxHEIGHT' (e.g., '1920x1080').

The color mode of the image.

The quality of the generated image on a scale of 1 to 100, where 100 is the highest quality.

Generates a digital image of a human subject based on the provided text prompt. This function is tailored to create images representing different human demographics such as girls, boys, women, men, and children.

The text prompt describing the desired characteristics of the human image to be generated. For example, 'a smiling girl with blue eyes'.

The desired quality level of the generated image.

The file format for the generated image.

Specifies whether to include metadata about the generated image, such as creation time and prompt details.

Interact with a multilingual large language model (LLM) to generate text-based answers in various languages, excluding real-time data and information post-2022. Suitable for processing prompts in languages such as Hindi, Arabic, Marathi, etc.

The prompt for the LLM, provided in a supported language other than English. The format should be plain text.

The language of the input prompt.

The maximum length of the response in number of tokens (words or punctuation).

The creativity level of the response, ranging from 0.0 (deterministic) to 1.0 (more creative).

This function provides interaction with an English large language model (LLM) to generate text-based answers. It operates exclusively on English language prompts and does not include real-time data or information post-2022.

The English language prompt for the LLM to process and generate a response.

The maximum number of tokens to generate in the response. One token roughly corresponds to one word.

The creativity level of the response, with a scale from 0.0 (deterministic) to 1.0 (creative).

Whether to return the probabilities of the generated tokens. If set to true, the response will include the likelihood of each token.


chai kaise bnaye

Executes a search query and retrieves relevant real-time information, specific details, or general facts from the internet, with an option to filter results from the year 2022 onwards.

The search query string to be executed by the search engine.

A flag to include only information published after the year 2022.

Preferred source for retrieving information. If unspecified, the search encompasses all available sources.

Generate a digital image based on a text-based prompt, suitable for various general applications.

The text description used to guide the image generation process.

The desired resolution for the generated image, in the format 'WIDTHxHEIGHT' (e.g., '1920x1080').

The color mode of the image.

The quality of the generated image on a scale of 1 to 100, where 100 is the highest quality.

Generates a digital image of a human subject based on the provided text prompt. This function is tailored to create images representing different human demographics such as girls, boys, women, men, and children.

The text prompt describing the desired characteristics of the human image to be generated. For example, 'a smiling girl with blue eyes'.

The desired quality level of the generated image.

The file format for the generated image.

Specifies whether to include metadata about the generated image, such as creation time and prompt details.

Interact with a multilingual large language model (LLM) to generate text-based answers in various languages, excluding real-time data and information post-2022. Suitable for processing prompts in languages such as Hindi, Arabic, Marathi, etc.

The prompt for the LLM, provided in a supported language other than English. The format should be plain text.

The language of the input prompt.

The maximum length of the response in number of tokens (words or punctuation).

The creativity level of the response, ranging from 0.0 (deterministic) to 1.0 (more creative).

This function provides interaction with an English large language model (LLM) to generate text-based answers. It operates exclusively on English language prompts and does not include real-time data or information post-2022.

The English language prompt for the LLM to process and generate a response.

The maximum number of tokens to generate in the response. One token roughly corresponds to one word.

The creativity level of the response, with a scale from 0.0 (deterministic) to 1.0 (creative).

Whether to return the probabilities of the generated tokens. If set to true, the response will include the likelihood of each token.


What is the price of Apple on NYSE?

weather.get

Get the current weather details such as temperature, wind speed, and precipitation for a specified city and country.

The name of the city for which the weather is being requested, such as 'San Francisco'.

The country where the city is located, in ISO 3166-1 alpha-2 code format, such as 'US' for the United States.

The unit system for the temperature: 'metric' for Celsius, 'imperial' for Fahrenheit. Defaults to 'metric'.

A flag to indicate whether to include a weather forecast for the next 5 days. Defaults to false.

Retrieves the current stock price for a specified ticker symbol from a given stock exchange.

The unique ticker or stock symbol used to identify the publicly traded shares of a particular stock on a particular stock market.

The stock exchange where the stock is listed, such as 'NYSE' for New York Stock Exchange or 'NASDAQ'.


What is the temperature in London, UK?


I'm curious about the current weather conditions in London, United Kingdom. Can you provide me with that information?

Get the current weather conditions, including temperature, wind speed, and precipitation, for a specified city within a country.

The name of the city for which to retrieve the weather, formatted as 'City Name'. Example: 'London' or 'San Francisco'.

The full name of the country where the city is located, formatted as 'Country Name'. Example: 'United Kingdom' or 'United States'.

Retrieve the latest stock price for a given ticker and exchange.

The unique stock symbol to identify a publicly traded company on a stock exchange.

The stock exchange where the ticker is listed, such as 'NYSE' or 'NASDAQ'.


Can you tell me the latest stock price for AAPL on NASDAQ?


Could you tell me the current weather conditions in London, United Kingdom, including the temperature, wind speed, and any precipitation?

Get the current weather conditions, including temperature, wind speed, and precipitation, for a specified city and country.

The name of the city for which to get the weather, in the format of 'City'. For example, 'London' or 'Tokyo'.

The country where the city is located, in the format of 'Country'. For example, 'United Kingdom' or 'Japan'.

United States
United Kingdom
Canada
Australia
Japan

The units for temperature and wind speed. 'metric' for Celsius and meters per second, 'imperial' for Fahrenheit and miles per hour.

Retrieves the current stock price for a given ticker symbol from a specified exchange.

The unique ticker or stock symbol used to represent a public company on a stock exchange.

The date for which to retrieve the stock price, in the format 'YYYY-MM-DD'. Defaults to the most recent trading day if not specified.


Could you tell me the current price of AAPL on the NASDAQ?


Could you tell me the current weather conditions in London, including the temperature and wind speed?

The name of the city for which to retrieve weather information, such as 'San Francisco'.

The ISO country code (2-letter) for the city's country, such as 'US' for the United States.

The unit system used for the weather data. Possible values are 'metric' for Celsius, 'imperial' for Fahrenheit, and 'standard' for Kelvin.

A flag indicating whether to include a weather forecast for the next 5 days. If true, the forecast will be included.

Retrieve the latest trade price for a specified stock ticker on a given exchange.

The unique stock ticker symbol used to identify the publicly traded shares of a particular stock on an exchange.


Could you retrieve the latest trading price for AAPL on the NASDAQ exchange?


Could you provide the current weather data for London in the UK, including the temperature, wind speed, and precipitation levels?

Retrieves current weather data including temperature, wind speed, and precipitation levels for a specified city and country.

The name of the city for which weather data is being requested, e.g., 'San Francisco'.

The country in which the city is located, using ISO 3166-1 alpha-2 country codes, e.g., 'US' for the United States.

The unit system for the temperature (Celsius or Fahrenheit) and wind speed (m/s or mph).

The language code for the response data, such as 'en' for English or 'es' for Spanish.

Retrieve the current stock price for a specified ticker symbol from the stock market.

The stock ticker symbol for which the price is being requested, such as 'AAPL' for Apple Inc.

The stock exchange where the ticker is listed, such as 'NASDAQ' or 'NYSE'.

The date for which the stock price is requested, in the format 'YYYY-MM-DD'. If not provided, the latest available price is returned.


Can you give me the current price for the ticker symbol AAPL on NASDAQ?


Can you tell me the lowest temperature reading across all sensors for my organization from the latest data available?

Retrieves a list of sensor alerts within specified parameters including pagination, time range, and filter criteria.

Number of entries per page returned. Must be within the range of 3 to 100.

Server-generated token indicating the start of the page, typically a timestamp or ID. Clients should not define this; use pagination links provided in response headers instead.

Server-generated token indicating the end of the page, typically a timestamp or ID. Clients should not define this; use pagination links provided in response headers instead.

Start of the data timespan as a timestamp in ISO 8601 format (e.g., '2023-04-05T14:30:00Z'). Maximum lookback is 365 days from today.

End of the data timespan as a timestamp in ISO 8601 format (e.g., '2023-05-05T14:30:00Z'). Can be up to 365 days after t0.

List of network IDs to filter the alerts by.

Duration for which the information is fetched in seconds. Do not specify if t0 and t1 are set. Maximum is 31536000 seconds (365 days).

Serial number of the sensor to filter the returned data.

Metric that triggered the alert. Valid values include various sensor metrics such as temperature, humidity, and more.

apparentPower co2 current door frequency humidity indoorAirQuality noise pm25 powerFactor realPower temperature tvoc upstreamPower voltage water

Return the latest available reading for each metric from each sensor, sorted by sensor serial number.

Specifies the number of entries per page returned. Value must be between 3 and 100. If user doesn't specify, please use 100.

Token indicating the start of the page, typically a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ', such as '2023-04-01T00:00:00Z'.

Token indicating the end of the page, typically a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ', such as '2023-04-01T23:59:59Z'.

List of network IDs to filter the returned sensor data. If omitted, data from all networks are retrieved.

List of sensor serial numbers to filter readings. If omitted, readings from all sensors are retrieved.

Sensor reading types to retrieve, such as 'temperature', 'humidity', 'co2'. If omitted, all available types are retrieved.


Can you tell me the current price of a winter jacket in Berkeley, CA?

Retrieves the current weather conditions for a specified location.

The location for which to get the weather, in the format of 'City, State', such as 'San Francisco, CA' or 'New York, NY'.

The unit of measurement for temperature values.

Retrieves the latest news articles for a specified location, formatted as 'City, State'.

The geographic location for which current news is to be fetched, in the format of 'City, State', such as 'New York, NY' or 'Los Angeles, CA'.

The unit of temperature measurement used within the news content.

Get the current price of a given item at a specified location.

The name of the item for which the price is being queried.

The location where the item is being sold, in the format of 'City, State', such as 'Berkeley, CA' or 'New York, NY'.

The currency in which the price should be provided.


Can you retrieve the most recent readings for each metric from sensors within the networks 'n1' and 'n2'?

Retrieve a paginated list of sensor alerts within a specified timespan and optionally filtered by various criteria such as network IDs or sensor metrics.

The number of entries per page returned. Acceptable range is 3 - 100.

A server-generated token indicating the start of the page, such as a timestamp or an ID.

A server-generated token indicating the end of the page, such as a timestamp or an ID.

The start of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-01-01T00:00:00Z'). The maximum lookback period is 365 days from today.

The end of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-12-31T23:59:59Z'). t1 can be a maximum of 365 days after t0.

A list of network IDs to filter the returned data.

The timespan for which the information will be fetched in seconds. Do not specify if t0 and t1 are provided. Must be less than or equal to 31,536,000 seconds (365 days).

The sensor serial number to filter the returned data.

Filter alerts triggered by a specific metric.

Retrieves the most recent readings for each metric from each sensor, organized by the sensor's serial number.

Specifies the number of entries per page. Must be within the range of 3 to 100.

The server-generated token marking the start of the page. Typically a timestamp or ID. If omitted, the server will provide the default starting point.

The server-generated token marking the end of the page. Typically a timestamp or ID. Optional; if omitted, the server will provide the default ending point.

Filters the returned data by network IDs. If omitted, data for all networks is returned.

Filters readings by sensor serial numbers. If omitted, readings for all sensors are returned.

Specifies the types of sensor readings to retrieve, such as 'temperature', 'humidity', or 'co2'. If omitted, all available types of readings are retrieved.

temperature humidity co2 battery noise pm2.5

Retrieves historical sensor readings within a specified timespan, summarized in intervals, and returns them sorted by the start time of each interval in descending order.

Number of entries per page, within the range of 3 to 100.

Server-generated token indicating the start of the page, typically a timestamp or ID.

Server-generated token indicating the end of the page, typically a timestamp or ID.

Filter data by the specified network IDs.

Filter readings by sensor serial numbers.

Specify sensor reading types to retrieve, such as 'temperature', 'humidity', 'pressure'. Defaults to all available types if not supplied.

The timespan for fetching data, in seconds. The maximum is equivalent to 730 days and 12 hours.

Start of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. The maximum lookback period is 730 days and 12 hours.

End of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. This can be a maximum of 730 days and 12 hours after t0.

The time interval in seconds for the data returned. Valid values are 15, 120, 300, 900, 3600, 14400, 86400, or 604800.

Filter readings by one or more sensor models. Available models include 'MT10', 'MT11', 'MT12', 'MT14', 'MT20', 'MT30'.

Return all reported readings from sensors within a specified timespan, sorted by timestamp. This can include various types of sensor data across different networks and devices.

The number of entries per page returned. Must be within the range of 3 to 100.

A server-side token that represents the start of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

A server-side token that represents the end of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

The network IDs to filter the returned data. If omitted, data from all networks will be included.

Sensor serial numbers to filter the readings by. If omitted, readings from all sensors will be included.

Types of sensor readings to retrieve, such as 'temperature', 'humidity', 'co2'. If omitted, all available types will be retrieved.

The duration for which sensor data will be fetched, specified in seconds. Maximum value corresponds to 730 days and 12 hours.

The start of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. Maximum lookback is 365 days and 6 hours from today.

The end of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. 't1' can be at most 7 days after 't0'.


I need to review the temperature readings from our sensors for a specific period. Can you fetch the data from yesterday midday to yesterday 3pm? Use the network ID 'L_579838452023959405'. Today's date is March 6, 2024.

Retrieve a paginated list of sensor alerts within a specified timespan and optionally filtered by various criteria such as network IDs or sensor metrics.

The number of entries per page returned. Acceptable range is 3 - 100.

A server-generated token indicating the start of the page, such as a timestamp or an ID.

A server-generated token indicating the end of the page, such as a timestamp or an ID.

The start of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-01-01T00:00:00Z'). The maximum lookback period is 365 days from today.

The end of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-12-31T23:59:59Z'). t1 can be a maximum of 365 days after t0.

A list of network IDs to filter the returned data.

The timespan for which the information will be fetched in seconds. Do not specify if t0 and t1 are provided. Must be less than or equal to 31,536,000 seconds (365 days).

The sensor serial number to filter the returned data.

Filter alerts triggered by a specific metric.

Retrieves the most recent readings for each metric from each sensor, organized by the sensor's serial number.

Specifies the number of entries per page. Must be within the range of 3 to 100.

The server-generated token marking the start of the page. Typically a timestamp or ID. If omitted, the server will provide the default starting point.

The server-generated token marking the end of the page. Typically a timestamp or ID. Optional; if omitted, the server will provide the default ending point.

Filters the returned data by network IDs. If omitted, data for all networks is returned.

Filters readings by sensor serial numbers. If omitted, readings for all sensors are returned.

Specifies the types of sensor readings to retrieve, such as 'temperature', 'humidity', or 'co2'. If omitted, all available types of readings are retrieved.

Retrieves historical sensor readings within a specified timespan, summarized in intervals, and returns them sorted by the start time of each interval in descending order.

Number of entries per page, within the range of 3 to 100.

Server-generated token indicating the start of the page, typically a timestamp or ID.

Server-generated token indicating the end of the page, typically a timestamp or ID.

Filter data by the specified network IDs.

Filter readings by sensor serial numbers.

Specify sensor reading types to retrieve, such as 'temperature', 'humidity', 'pressure'. Defaults to all available types if not supplied.

The timespan for fetching data, in seconds. The maximum is equivalent to 730 days and 12 hours.

Start of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. The maximum lookback period is 730 days and 12 hours.

End of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. This can be a maximum of 730 days and 12 hours after t0.

The time interval in seconds for the data returned. Valid values are 15, 120, 300, 900, 3600, 14400, 86400, or 604800.

Filter readings by one or more sensor models. Available models include 'MT10', 'MT11', 'MT12', 'MT14', 'MT20', 'MT30'.

Return all reported readings from sensors within a specified timespan, sorted by timestamp. This can include various types of sensor data across different networks and devices.

The number of entries per page returned. Must be within the range of 3 to 100.

A server-side token that represents the start of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

A server-side token that represents the end of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

The network IDs to filter the returned data. If omitted, data from all networks will be included.

Sensor serial numbers to filter the readings by. If omitted, readings from all sensors will be included.

Types of sensor readings to retrieve, such as 'temperature', 'humidity', 'co2'. If omitted, all available types will be retrieved.

The duration for which sensor data will be fetched, specified in seconds. Maximum value corresponds to 730 days and 12 hours.

The start of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. Maximum lookback is 365 days and 6 hours from today.

The end of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. 't1' can be at most 7 days after 't0'.


Can you retrieve the most recent readings for each metric from the sensors in my organization? Let's limit the results to 10 entries per page.

Retrieve a paginated list of sensor alerts within a specified timespan and optionally filtered by various criteria such as network IDs or sensor metrics.

The number of entries per page returned. Acceptable range is 3 - 100.

A server-generated token indicating the start of the page, such as a timestamp or an ID.

A server-generated token indicating the end of the page, such as a timestamp or an ID.

The start of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-01-01T00:00:00Z'). The maximum lookback period is 365 days from today.

The end of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-12-31T23:59:59Z'). t1 can be a maximum of 365 days after t0.

A list of network IDs to filter the returned data.

The timespan for which the information will be fetched in seconds. Do not specify if t0 and t1 are provided. Must be less than or equal to 31,536,000 seconds (365 days).

The sensor serial number to filter the returned data.

Filter alerts triggered by a specific metric.

Retrieves the most recent readings for each metric from each sensor, organized by the sensor's serial number.

Specifies the number of entries per page. Must be within the range of 3 to 100.

The server-generated token marking the start of the page. Typically a timestamp or ID. If omitted, the server will provide the default starting point.

The server-generated token marking the end of the page. Typically a timestamp or ID. Optional; if omitted, the server will provide the default ending point.

Filters the returned data by network IDs. If omitted, data for all networks is returned.

Filters readings by sensor serial numbers. If omitted, readings for all sensors are returned.

Specifies the types of sensor readings to retrieve, such as 'temperature', 'humidity', or 'co2'. If omitted, all available types of readings are retrieved.

Retrieves historical sensor readings within a specified timespan, summarized in intervals, and returns them sorted by the start time of each interval in descending order.

Number of entries per page, within the range of 3 to 100.

Server-generated token indicating the start of the page, typically a timestamp or ID.

Server-generated token indicating the end of the page, typically a timestamp or ID.

Filter data by the specified network IDs.

Filter readings by sensor serial numbers.

Specify sensor reading types to retrieve, such as 'temperature', 'humidity', 'pressure'. Defaults to all available types if not supplied.

The timespan for fetching data, in seconds. The maximum is equivalent to 730 days and 12 hours.

Start of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. The maximum lookback period is 730 days and 12 hours.

End of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. This can be a maximum of 730 days and 12 hours after t0.

The time interval in seconds for the data returned. Valid values are 15, 120, 300, 900, 3600, 14400, 86400, or 604800.

Filter readings by one or more sensor models. Available models include 'MT10', 'MT11', 'MT12', 'MT14', 'MT20', 'MT30'.

Return all reported readings from sensors within a specified timespan, sorted by timestamp. This can include various types of sensor data across different networks and devices.

The number of entries per page returned. Must be within the range of 3 to 100.

A server-side token that represents the start of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

A server-side token that represents the end of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

The network IDs to filter the returned data. If omitted, data from all networks will be included.

Sensor serial numbers to filter the readings by. If omitted, readings from all sensors will be included.

Types of sensor readings to retrieve, such as 'temperature', 'humidity', 'co2'. If omitted, all available types will be retrieved.

The duration for which sensor data will be fetched, specified in seconds. Maximum value corresponds to 730 days and 12 hours.

The start of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. Maximum lookback is 365 days and 6 hours from today.

The end of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. 't1' can be at most 7 days after 't0'.


Could you retrieve a list of sensor alerts, showing 10 entries per page for the network with ID L_579838452023959405?

Retrieve a paginated list of sensor alerts within a specified timespan and optionally filtered by various criteria such as network IDs or sensor metrics.

The number of entries per page returned. Acceptable range is 3 - 100.

A server-generated token indicating the start of the page, such as a timestamp or an ID.

A server-generated token indicating the end of the page, such as a timestamp or an ID.

The start of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-01-01T00:00:00Z'). The maximum lookback period is 365 days from today.

The end of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-12-31T23:59:59Z'). t1 can be a maximum of 365 days after t0.

A list of network IDs to filter the returned data.

The timespan for which the information will be fetched in seconds. Do not specify if t0 and t1 are provided. Must be less than or equal to 31,536,000 seconds (365 days).

The sensor serial number to filter the returned data.

Filter alerts triggered by a specific metric.

Retrieves the most recent readings for each metric from each sensor, organized by the sensor's serial number.

Specifies the number of entries per page. Must be within the range of 3 to 100.

The server-generated token marking the start of the page. Typically a timestamp or ID. If omitted, the server will provide the default starting point.

The server-generated token marking the end of the page. Typically a timestamp or ID. Optional; if omitted, the server will provide the default ending point.

Filters the returned data by network IDs. If omitted, data for all networks is returned.

Filters readings by sensor serial numbers. If omitted, readings for all sensors are returned.

Specifies the types of sensor readings to retrieve, such as 'temperature', 'humidity', or 'co2'. If omitted, all available types of readings are retrieved.

Retrieves historical sensor readings within a specified timespan, summarized in intervals, and returns them sorted by the start time of each interval in descending order.

Number of entries per page, within the range of 3 to 100.

Server-generated token indicating the start of the page, typically a timestamp or ID.

Server-generated token indicating the end of the page, typically a timestamp or ID.

Filter data by the specified network IDs.

Filter readings by sensor serial numbers.

Specify sensor reading types to retrieve, such as 'temperature', 'humidity', 'pressure'. Defaults to all available types if not supplied.

The timespan for fetching data, in seconds. The maximum is equivalent to 730 days and 12 hours.

Start of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. The maximum lookback period is 730 days and 12 hours.

End of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. This can be a maximum of 730 days and 12 hours after t0.

The time interval in seconds for the data returned. Valid values are 15, 120, 300, 900, 3600, 14400, 86400, or 604800.

Filter readings by one or more sensor models. Available models include 'MT10', 'MT11', 'MT12', 'MT14', 'MT20', 'MT30'.

Return all reported readings from sensors within a specified timespan, sorted by timestamp. This can include various types of sensor data across different networks and devices.

The number of entries per page returned. Must be within the range of 3 to 100.

A server-side token that represents the start of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

A server-side token that represents the end of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

The network IDs to filter the returned data. If omitted, data from all networks will be included.

Sensor serial numbers to filter the readings by. If omitted, readings from all sensors will be included.

Types of sensor readings to retrieve, such as 'temperature', 'humidity', 'co2'. If omitted, all available types will be retrieved.

The duration for which sensor data will be fetched, specified in seconds. Maximum value corresponds to 730 days and 12 hours.

The start of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. Maximum lookback is 365 days and 6 hours from today.

The end of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. 't1' can be at most 7 days after 't0'.


I want to retrieve the most recent readings from all sensors within my organization. I don't have any specific network IDs to filter by, so it should include all available networks. I have the necessary permissions and API access. How should I proceed to obtain this data? keep 100 entries per page

Retrieve a paginated list of sensor alerts within a specified timespan and optionally filtered by various criteria such as network IDs or sensor metrics.

The number of entries per page returned. Acceptable range is 3 - 100.

A server-generated token indicating the start of the page, such as a timestamp or an ID.

A server-generated token indicating the end of the page, such as a timestamp or an ID.

The start of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-01-01T00:00:00Z'). The maximum lookback period is 365 days from today.

The end of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-12-31T23:59:59Z'). t1 can be a maximum of 365 days after t0.

A list of network IDs to filter the returned data.

The timespan for which the information will be fetched in seconds. Do not specify if t0 and t1 are provided. Must be less than or equal to 31,536,000 seconds (365 days).

The sensor serial number to filter the returned data.

Filter alerts triggered by a specific metric.

Retrieves the most recent readings for each metric from each sensor, organized by the sensor's serial number.

Specifies the number of entries per page. Must be within the range of 3 to 100.

The server-generated token marking the start of the page. Typically a timestamp or ID. If omitted, the server will provide the default starting point.

The server-generated token marking the end of the page. Typically a timestamp or ID. Optional; if omitted, the server will provide the default ending point.

Filters the returned data by network IDs. If omitted, data for all networks is returned.

Filters readings by sensor serial numbers. If omitted, readings for all sensors are returned.

Specifies the types of sensor readings to retrieve, such as 'temperature', 'humidity', or 'co2'. If omitted, all available types of readings are retrieved.

Retrieves historical sensor readings within a specified timespan, summarized in intervals, and returns them sorted by the start time of each interval in descending order.

Number of entries per page, within the range of 3 to 100.

Server-generated token indicating the start of the page, typically a timestamp or ID.

Server-generated token indicating the end of the page, typically a timestamp or ID.

Filter data by the specified network IDs.

Filter readings by sensor serial numbers.

Specify sensor reading types to retrieve, such as 'temperature', 'humidity', 'pressure'. Defaults to all available types if not supplied.

The timespan for fetching data, in seconds. The maximum is equivalent to 730 days and 12 hours.

Start of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. The maximum lookback period is 730 days and 12 hours.

End of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. This can be a maximum of 730 days and 12 hours after t0.

The time interval in seconds for the data returned. Valid values are 15, 120, 300, 900, 3600, 14400, 86400, or 604800.

Filter readings by one or more sensor models. Available models include 'MT10', 'MT11', 'MT12', 'MT14', 'MT20', 'MT30'.

Return all reported readings from sensors within a specified timespan, sorted by timestamp. This can include various types of sensor data across different networks and devices.

The number of entries per page returned. Must be within the range of 3 to 100.

A server-side token that represents the start of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

A server-side token that represents the end of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

The network IDs to filter the returned data. If omitted, data from all networks will be included.

Sensor serial numbers to filter the readings by. If omitted, readings from all sensors will be included.

Types of sensor readings to retrieve, such as 'temperature', 'humidity', 'co2'. If omitted, all available types will be retrieved.

The duration for which sensor data will be fetched, specified in seconds. Maximum value corresponds to 730 days and 12 hours.

The start of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. Maximum lookback is 365 days and 6 hours from today.

The end of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. 't1' can be at most 7 days after 't0'.


I need to see the latest readings from our sensors. Can you provide the most recent data for each metric from each sensor, limiting the result to 10 entries per page?

Retrieve a paginated list of sensor alerts within a specified timespan and optionally filtered by various criteria such as network IDs or sensor metrics.

The number of entries per page returned. Acceptable range is 3 - 100.

A server-generated token indicating the start of the page, such as a timestamp or an ID.

A server-generated token indicating the end of the page, such as a timestamp or an ID.

The start of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-01-01T00:00:00Z'). The maximum lookback period is 365 days from today.

The end of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-12-31T23:59:59Z'). t1 can be a maximum of 365 days after t0.

A list of network IDs to filter the returned data.

The timespan for which the information will be fetched in seconds. Do not specify if t0 and t1 are provided. Must be less than or equal to 31,536,000 seconds (365 days).

The sensor serial number to filter the returned data.

Filter alerts triggered by a specific metric.

Retrieves the most recent readings for each metric from each sensor, organized by the sensor's serial number.

Specifies the number of entries per page. Must be within the range of 3 to 100.

The server-generated token marking the start of the page. Typically a timestamp or ID. If omitted, the server will provide the default starting point.

The server-generated token marking the end of the page. Typically a timestamp or ID. Optional; if omitted, the server will provide the default ending point.

Filters the returned data by network IDs. If omitted, data for all networks is returned.

Filters readings by sensor serial numbers. If omitted, readings for all sensors are returned.

Specifies the types of sensor readings to retrieve, such as 'temperature', 'humidity', or 'co2'. If omitted, all available types of readings are retrieved.

Retrieves historical sensor readings within a specified timespan, summarized in intervals, and returns them sorted by the start time of each interval in descending order.

Number of entries per page, within the range of 3 to 100.

Server-generated token indicating the start of the page, typically a timestamp or ID.

Server-generated token indicating the end of the page, typically a timestamp or ID.

Filter data by the specified network IDs.

Filter readings by sensor serial numbers.

Specify sensor reading types to retrieve, such as 'temperature', 'humidity', 'pressure'. Defaults to all available types if not supplied.

The timespan for fetching data, in seconds. The maximum is equivalent to 730 days and 12 hours.

Start of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. The maximum lookback period is 730 days and 12 hours.

End of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. This can be a maximum of 730 days and 12 hours after t0.

The time interval in seconds for the data returned. Valid values are 15, 120, 300, 900, 3600, 14400, 86400, or 604800.

Filter readings by one or more sensor models. Available models include 'MT10', 'MT11', 'MT12', 'MT14', 'MT20', 'MT30'.

Return all reported readings from sensors within a specified timespan, sorted by timestamp. This can include various types of sensor data across different networks and devices.

The number of entries per page returned. Must be within the range of 3 to 100.

A server-side token that represents the start of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

A server-side token that represents the end of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

The network IDs to filter the returned data. If omitted, data from all networks will be included.

Sensor serial numbers to filter the readings by. If omitted, readings from all sensors will be included.

Types of sensor readings to retrieve, such as 'temperature', 'humidity', 'co2'. If omitted, all available types will be retrieved.

The duration for which sensor data will be fetched, specified in seconds. Maximum value corresponds to 730 days and 12 hours.

The start of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. Maximum lookback is 365 days and 6 hours from today.

The end of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. 't1' can be at most 7 days after 't0'.


I need to check the latest readings for all temperature and humidity sensors in my office network. The network ID is 'office-network-001'. Can you retrieve the most recent data for these metrics? Please give 100 entries per page too

Retrieve a paginated list of sensor alerts within a specified timespan and optionally filtered by various criteria such as network IDs or sensor metrics.

The number of entries per page returned. Acceptable range is 3 - 100.

A server-generated token indicating the start of the page, such as a timestamp or an ID.

A server-generated token indicating the end of the page, such as a timestamp or an ID.

The start of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-01-01T00:00:00Z'). The maximum lookback period is 365 days from today.

The end of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-12-31T23:59:59Z'). t1 can be a maximum of 365 days after t0.

A list of network IDs to filter the returned data.

The timespan for which the information will be fetched in seconds. Do not specify if t0 and t1 are provided. Must be less than or equal to 31,536,000 seconds (365 days).

The sensor serial number to filter the returned data.

Filter alerts triggered by a specific metric.

Retrieves the most recent readings for each metric from each sensor, organized by the sensor's serial number.

Specifies the number of entries per page. Must be within the range of 3 to 100.

The server-generated token marking the start of the page. Typically a timestamp or ID. If omitted, the server will provide the default starting point.

The server-generated token marking the end of the page. Typically a timestamp or ID. Optional; if omitted, the server will provide the default ending point.

Filters the returned data by network IDs. If omitted, data for all networks is returned.

Filters readings by sensor serial numbers. If omitted, readings for all sensors are returned.

Specifies the types of sensor readings to retrieve, such as 'temperature', 'humidity', or 'co2'. If omitted, all available types of readings are retrieved.

Retrieves historical sensor readings within a specified timespan, summarized in intervals, and returns them sorted by the start time of each interval in descending order.

Number of entries per page, within the range of 3 to 100.

Server-generated token indicating the start of the page, typically a timestamp or ID.

Server-generated token indicating the end of the page, typically a timestamp or ID.

Filter data by the specified network IDs.

Filter readings by sensor serial numbers.

Specify sensor reading types to retrieve, such as 'temperature', 'humidity', 'pressure'. Defaults to all available types if not supplied.

The timespan for fetching data, in seconds. The maximum is equivalent to 730 days and 12 hours.

Start of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. The maximum lookback period is 730 days and 12 hours.

End of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. This can be a maximum of 730 days and 12 hours after t0.

The time interval in seconds for the data returned. Valid values are 15, 120, 300, 900, 3600, 14400, 86400, or 604800.

Filter readings by one or more sensor models. Available models include 'MT10', 'MT11', 'MT12', 'MT14', 'MT20', 'MT30'.

Return all reported readings from sensors within a specified timespan, sorted by timestamp. This can include various types of sensor data across different networks and devices.

The number of entries per page returned. Must be within the range of 3 to 100.

A server-side token that represents the start of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

A server-side token that represents the end of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

The network IDs to filter the returned data. If omitted, data from all networks will be included.

Sensor serial numbers to filter the readings by. If omitted, readings from all sensors will be included.

Types of sensor readings to retrieve, such as 'temperature', 'humidity', 'co2'. If omitted, all available types will be retrieved.

The duration for which sensor data will be fetched, specified in seconds. Maximum value corresponds to 730 days and 12 hours.

The start of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. Maximum lookback is 365 days and 6 hours from today.

The end of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. 't1' can be at most 7 days after 't0'.


How can I access the temperature readings from my sensors for the past hour? I have the specific network ID ready to provide, it's 12312. If possible, I'd like the information to be presented in a sorted manner according to the timestamps. Make sure there is maximum amount of page for display.

Retrieve a paginated list of sensor alerts within a specified timespan and optionally filtered by various criteria such as network IDs or sensor metrics.

The number of entries per page returned. Acceptable range is 3 - 100.

A server-generated token indicating the start of the page, such as a timestamp or an ID.

A server-generated token indicating the end of the page, such as a timestamp or an ID.

The start of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-01-01T00:00:00Z'). The maximum lookback period is 365 days from today.

The end of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-12-31T23:59:59Z'). t1 can be a maximum of 365 days after t0.

A list of network IDs to filter the returned data.

The timespan for which the information will be fetched in seconds. Do not specify if t0 and t1 are provided. Must be less than or equal to 31,536,000 seconds (365 days).

The sensor serial number to filter the returned data.

Filter alerts triggered by a specific metric.

Retrieves the most recent readings for each metric from each sensor, organized by the sensor's serial number.

Specifies the number of entries per page. Must be within the range of 3 to 100.

The server-generated token marking the start of the page. Typically a timestamp or ID. If omitted, the server will provide the default starting point.

The server-generated token marking the end of the page. Typically a timestamp or ID. Optional; if omitted, the server will provide the default ending point.

Filters the returned data by network IDs. If omitted, data for all networks is returned.

Filters readings by sensor serial numbers. If omitted, readings for all sensors are returned.

Specifies the types of sensor readings to retrieve, such as 'temperature', 'humidity', or 'co2'. If omitted, all available types of readings are retrieved.

Retrieves historical sensor readings within a specified timespan, summarized in intervals, and returns them sorted by the start time of each interval in descending order.

Number of entries per page, within the range of 3 to 100.

Server-generated token indicating the start of the page, typically a timestamp or ID.

Server-generated token indicating the end of the page, typically a timestamp or ID.

Filter data by the specified network IDs.

Filter readings by sensor serial numbers.

Specify sensor reading types to retrieve, such as 'temperature', 'humidity', 'pressure'. Defaults to all available types if not supplied.

The timespan for fetching data, in seconds. The maximum is equivalent to 730 days and 12 hours.

Start of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. The maximum lookback period is 730 days and 12 hours.

End of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. This can be a maximum of 730 days and 12 hours after t0.

The time interval in seconds for the data returned. Valid values are 15, 120, 300, 900, 3600, 14400, 86400, or 604800.

Filter readings by one or more sensor models. Available models include 'MT10', 'MT11', 'MT12', 'MT14', 'MT20', 'MT30'.

Return all reported readings from sensors within a specified timespan, sorted by timestamp. This can include various types of sensor data across different networks and devices.

The number of entries per page returned. Must be within the range of 3 to 100.

A server-side token that represents the start of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

A server-side token that represents the end of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

The network IDs to filter the returned data. If omitted, data from all networks will be included.

Sensor serial numbers to filter the readings by. If omitted, readings from all sensors will be included.

Types of sensor readings to retrieve, such as 'temperature', 'humidity', 'co2'. If omitted, all available types will be retrieved.

The duration for which sensor data will be fetched, specified in seconds. Maximum value corresponds to 730 days and 12 hours.

The start of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. Maximum lookback is 365 days and 6 hours from today.

The end of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. 't1' can be at most 7 days after 't0'.


Could you retrieve a list of sensor alerts for the network with the ID L_579838452023959405, limiting the results to 50 entries per page?

Retrieve a paginated list of sensor alerts within a specified timespan and optionally filtered by various criteria such as network IDs or sensor metrics.

The number of entries per page returned. Acceptable range is 3 - 100.

A server-generated token indicating the start of the page, such as a timestamp or an ID.

A server-generated token indicating the end of the page, such as a timestamp or an ID.

The start of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-01-01T00:00:00Z'). The maximum lookback period is 365 days from today.

The end of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-12-31T23:59:59Z'). t1 can be a maximum of 365 days after t0.

A list of network IDs to filter the returned data.

The timespan for which the information will be fetched in seconds. Do not specify if t0 and t1 are provided. Must be less than or equal to 31,536,000 seconds (365 days).

The sensor serial number to filter the returned data.

Filter alerts triggered by a specific metric.

Retrieves the most recent readings for each metric from each sensor, organized by the sensor's serial number.

Specifies the number of entries per page. Must be within the range of 3 to 100.

The server-generated token marking the start of the page. Typically a timestamp or ID. If omitted, the server will provide the default starting point.

The server-generated token marking the end of the page. Typically a timestamp or ID. Optional; if omitted, the server will provide the default ending point.

Filters the returned data by network IDs. If omitted, data for all networks is returned.

Filters readings by sensor serial numbers. If omitted, readings for all sensors are returned.

Specifies the types of sensor readings to retrieve, such as 'temperature', 'humidity', or 'co2'. If omitted, all available types of readings are retrieved.

Retrieves historical sensor readings within a specified timespan, summarized in intervals, and returns them sorted by the start time of each interval in descending order.

Number of entries per page, within the range of 3 to 100.

Server-generated token indicating the start of the page, typically a timestamp or ID.

Server-generated token indicating the end of the page, typically a timestamp or ID.

Filter data by the specified network IDs.

Filter readings by sensor serial numbers.

Specify sensor reading types to retrieve, such as 'temperature', 'humidity', 'pressure'. Defaults to all available types if not supplied.

The timespan for fetching data, in seconds. The maximum is equivalent to 730 days and 12 hours.

Start of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. The maximum lookback period is 730 days and 12 hours.

End of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. This can be a maximum of 730 days and 12 hours after t0.

The time interval in seconds for the data returned. Valid values are 15, 120, 300, 900, 3600, 14400, 86400, or 604800.

Filter readings by one or more sensor models. Available models include 'MT10', 'MT11', 'MT12', 'MT14', 'MT20', 'MT30'.

Return all reported readings from sensors within a specified timespan, sorted by timestamp. This can include various types of sensor data across different networks and devices.

The number of entries per page returned. Must be within the range of 3 to 100.

A server-side token that represents the start of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

A server-side token that represents the end of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

The network IDs to filter the returned data. If omitted, data from all networks will be included.

Sensor serial numbers to filter the readings by. If omitted, readings from all sensors will be included.

Types of sensor readings to retrieve, such as 'temperature', 'humidity', 'co2'. If omitted, all available types will be retrieved.

The duration for which sensor data will be fetched, specified in seconds. Maximum value corresponds to 730 days and 12 hours.

The start of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. Maximum lookback is 365 days and 6 hours from today.

The end of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. 't1' can be at most 7 days after 't0'.


Could you retrieve the most recent sensor readings for each metric, organized by the sensor's serial number, with a limit of 50 entries per page?

Retrieve a paginated list of sensor alerts within a specified timespan and optionally filtered by various criteria such as network IDs or sensor metrics.

The number of entries per page returned. Acceptable range is 3 - 100.

A server-generated token indicating the start of the page, such as a timestamp or an ID.

A server-generated token indicating the end of the page, such as a timestamp or an ID.

The start of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-01-01T00:00:00Z'). The maximum lookback period is 365 days from today.

The end of the timespan for the data, formatted as an ISO 8601 timestamp (e.g., '2023-12-31T23:59:59Z'). t1 can be a maximum of 365 days after t0.

A list of network IDs to filter the returned data.

The timespan for which the information will be fetched in seconds. Do not specify if t0 and t1 are provided. Must be less than or equal to 31,536,000 seconds (365 days).

The sensor serial number to filter the returned data.

Filter alerts triggered by a specific metric.

Retrieves the most recent readings for each metric from each sensor, organized by the sensor's serial number.

Specifies the number of entries per page. Must be within the range of 3 to 100.

The server-generated token marking the start of the page. Typically a timestamp or ID. If omitted, the server will provide the default starting point.

The server-generated token marking the end of the page. Typically a timestamp or ID. Optional; if omitted, the server will provide the default ending point.

Filters the returned data by network IDs. If omitted, data for all networks is returned.

Filters readings by sensor serial numbers. If omitted, readings for all sensors are returned.

Specifies the types of sensor readings to retrieve, such as 'temperature', 'humidity', or 'co2'. If omitted, all available types of readings are retrieved.

Retrieves historical sensor readings within a specified timespan, summarized in intervals, and returns them sorted by the start time of each interval in descending order.

Number of entries per page, within the range of 3 to 100.

Server-generated token indicating the start of the page, typically a timestamp or ID.

Server-generated token indicating the end of the page, typically a timestamp or ID.

Filter data by the specified network IDs.

Filter readings by sensor serial numbers.

Specify sensor reading types to retrieve, such as 'temperature', 'humidity', 'pressure'. Defaults to all available types if not supplied.

The timespan for fetching data, in seconds. The maximum is equivalent to 730 days and 12 hours.

Start of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. The maximum lookback period is 730 days and 12 hours.

End of the data timespan, in the ISO 8601 format 'YYYY-MM-DDTHH:MM:SSZ'. This can be a maximum of 730 days and 12 hours after t0.

The time interval in seconds for the data returned. Valid values are 15, 120, 300, 900, 3600, 14400, 86400, or 604800.

Filter readings by one or more sensor models. Available models include 'MT10', 'MT11', 'MT12', 'MT14', 'MT20', 'MT30'.

Return all reported readings from sensors within a specified timespan, sorted by timestamp. This can include various types of sensor data across different networks and devices.

The number of entries per page returned. Must be within the range of 3 to 100.

A server-side token that represents the start of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

A server-side token that represents the end of the page, such as a timestamp in the format 'YYYY-MM-DDTHH:MM:SSZ'. This should not be manually set by the client.

The network IDs to filter the returned data. If omitted, data from all networks will be included.

Sensor serial numbers to filter the readings by. If omitted, readings from all sensors will be included.

Types of sensor readings to retrieve, such as 'temperature', 'humidity', 'co2'. If omitted, all available types will be retrieved.

The duration for which sensor data will be fetched, specified in seconds. Maximum value corresponds to 730 days and 12 hours.

The start of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. Maximum lookback is 365 days and 6 hours from today.

The end of the timespan for the data, in the format 'YYYY-MM-DDTHH:MM:SSZ'. 't1' can be at most 7 days after 't0'.


Can you retrieve the analysis trail for the vulnerability ef903ac-893-f00 within component AB1010CD of the project SUPERFANCY?

Adds an Access Control List (ACL) mapping to define permissions for users or groups.

The unique identifier of the user for whom the ACL mapping will be added.

The unique identifier of the resource to which access is being controlled.

A list of permissions to be granted, such as ['read', 'write', 'delete'].

The date on which the ACL mapping expires, in the format of 'YYYY-MM-DD'.

Removes an Access Control List (ACL) mapping between a specified team and project by their UUIDs.

The universally unique identifier (UUID) of the team for which the ACL mapping is to be removed.

The UUID of the project associated with the team whose ACL mapping is to be deleted.

Retrieve a list of projects assigned to a specified team, with options to exclude inactive or non-root projects.

The unique identifier (UUID) of the team for which to retrieve project mappings.

If true, inactive projects will not be included in the response.

If true, only root projects will be returned, excluding any child projects.

Retrieves the trail of analysis for a given vulnerability within the specified component of a project.

The UUID of the project for which the analysis trail is to be retrieved.

The UUID of the component involved in the analysis within the specified project.

The UUID of the vulnerability for which the analysis trail is to be retrieved.


Can you tell me the list of projects that Adriel has been involved in from January 1st, 2021 to December 31st, 2021?

Retrieves the current weather information for a specified location.

The location for which to retrieve weather data, in the format of 'City, State', such as 'San Francisco, CA' or 'New York, NY'.

The unit of measurement for temperature values.

Retrieve a list of project names that Adriel has contributed to within a specified time frame.

The start date for the project query, in the format of 'YYYY-MM-DD', such as '2021-01-01'.

The end date for the project query, in the format of 'YYYY-MM-DD', such as '2021-12-31'.

A flag to include archived projects in the search results.


Can you tell me the list of projects and their statuses that Adriel is currently working on for user ID 7623, and include the completed projects as well?

Retrieves the current weather conditions for a specified location in the desired temperature unit.

The location for which to get the weather, in the format of 'City, State', such as 'San Francisco, CA' or 'New York, NY'.

The temperature unit for the weather report.

Retrieves a list of projects that Adriel is currently working on, including project names and their respective statuses.

The unique identifier of the user whose projects are being queried.

Flag to determine whether completed projects should be included in the response.

The range of dates for which the projects are being queried, in the format 'YYYY-MM-DD to YYYY-MM-DD'. Defaults to the current month.


Can you provide detailed information about the 'e-commerce platform overhaul' project that Adriel worked on?

Retrieve a list of projects that are associated with Adriel, including their current status and estimated completion dates.

The unique identifier of the user Adriel.

A flag to determine whether to include completed projects in the list.

Filter projects by status, such as 'active', 'paused', or 'completed'.

Retrieve detailed information about projects that Adriel is or has been involved in, including project status and participation role.

The unique name of the project for which details are to be fetched.

A flag to determine whether to include projects that are archived. Defaults to false.


What's project is "Adriel" working on? exclude any that are completed?


Can you provide the full details of the project named 'portfolio-web', including its status and Adriel's role in it?

Retrieve a list of project identifiers that Adriel is currently working on, including the project name, status, and the start date.

The unique identifier of the user for whom the projects are being retrieved.

Determines whether to include projects that are archived.

Filter projects based on their current status.

Filter projects that started on or after this date. The date should be in the format 'YYYY-MM-DD'.

Filter projects that started on or before this date. The date should be in the format 'YYYY-MM-DD'.

Retrieves the full details of a specific project that Adriel was involved in, including project status and the role Adriel played.

The exact name of the project to fetch details for.

Determines whether to include financial information such as budget and expenses in the project details.

The format for any date fields in the project details, such as 'MM/DD/YYYY'.

Retrieves a list of professional experiences associated with Adriel, including job titles and employment dates.

The unique identifier of the user whose experiences are being retrieved.

A flag indicating whether educational experiences should be included in the list.

The format for dates in the response, such as 'YYYY-MM-DD'.

Retrieves a list of educational institutions attended by Adriel, including the degrees obtained and the fields of study. If no username is provided, the function fetches Adriel's own education history.

The unique identifier for the user whose education history is being requested. Defaults to Adriel's username.

A flag to determine whether to include certifications along with formal education.


Can you retrieve the full details for the 'e-commerce-web' project, including project status and Adriel's role?

Retrieve a list of project identifiers that Adriel is currently working on, including the project name, status, and the start date.

The unique identifier of the user for whom the projects are being retrieved.

Determines whether to include projects that are archived.

Filter projects based on their current status.

Filter projects that started on or after this date. The date should be in the format 'YYYY-MM-DD'.

Filter projects that started on or before this date. The date should be in the format 'YYYY-MM-DD'.

Retrieves the full details of a specific project that Adriel was involved in, including project status and the role Adriel played.

The exact name of the project to fetch details for.

Determines whether to include financial information such as budget and expenses in the project details.

The format for any date fields in the project details, such as 'MM/DD/YYYY'.

Retrieves a list of professional experiences associated with Adriel, including job titles and employment dates.

The unique identifier of the user whose experiences are being retrieved.

A flag indicating whether educational experiences should be included in the list.

The format for dates in the response, such as 'YYYY-MM-DD'.

Retrieves a list of educational institutions attended by Adriel, including the degrees obtained and the fields of study. If no username is provided, the function fetches Adriel's own education history.

The unique identifier for the user whose education history is being requested. Defaults to Adriel's username.

A flag to determine whether to include certifications along with formal education.


Can you retrieve the detailed information about the 'portfolio-web' project that Adriel is working on, including the list of tasks and financial details?

Retrieve detailed information about a specific project that Adriel has been assigned to.

The exact name of the project for which details are being requested.

Whether to include a list of tasks associated with the project.

Flag to indicate if financial details like budget and expenses should be included.

Retrieve a list of experiences such as jobs, projects, or educational milestones that Adriel has undertaken. The experiences can be filtered by type and date range.

Filter the experiences by their type, such as 'job', 'project', or 'education'.

The start date to filter experiences from, in the format 'YYYY-MM-DD'.

The end date to filter experiences until, in the format 'YYYY-MM-DD'.

Specify whether to include detailed descriptions of each experience.

Retrieve the educational background of the individual named Adriel, including the institutions attended, degrees obtained, and the fields of study.

The unique identifier for the person whose educational background is being retrieved.


retrieve the detailed information for the 'portfolio-web' project that Adriel worked on, including its current status?

Retrieve the detailed information of a specific project that Adriel worked on, including its current status and relevant dates.

The unique name of the project.

A flag to indicate whether financial details should be included in the response.

Filter the details by the current status of the project.

Retrieve a list of projects that Adriel is currently involved in, including active and inactive projects.

The unique identifier of the user for whom the project list is being retrieved.

A flag to determine whether to include inactive projects in the list.

The order in which the list of projects is sorted. It can be either by 'start_date' or 'name'.

Retrieves a list of Adriel's professional experiences, including roles and companies.

The unique identifier of the user whose experiences are being fetched.

A flag to determine if educational experiences should be included.

Filter the experiences to only include those within the last specified number of years.

The order in which to sort the experiences, either by start date or relevance.

Retrieve the educational background information for an individual named Adriel, including the institutions attended, degrees earned, and years of attendance.

The unique identifier for the person whose educational background is being requested. This should be in the format of a UUID.

A flag to determine whether to include certifications along with formal education.

An array of strings specifying which fields of the educational background to include in the response, such as ['institution', 'degree', 'year'].


show me the list of all projects "Adriel" with user id 123 is currently involved in, both active and inactive?

The unique name of the project.


get me with Adriel's detailed profile information, including his personal and professional details? I would also like to have his contact details included. his id is 12445

Retrieve the detailed information of the specific project that Adriel has been assigned to.

The unique name identifier for the project.

A flag to determine if financial information related to the project should be included in the details.

The name of the person or system requesting the project details. Format: 'FirstName LastName' (e.g., 'John Doe').

Retrieves a list of projects that the user Adriel is currently working on, including project names and statuses.

The unique identifier for the user whose project list is being requested.

Determines whether to include completed projects in the list.

The page number for pagination, starting from 1.

The number of projects to display per page.

Retrieves a list of experiences, such as jobs or projects, that Adriel has participated in.

The unique identifier of the user whose experiences are being retrieved.

A flag indicating whether educational experiences should also be included in the results.

The expected string format for dates, such as 'YYYY-MM-DD'.

The maximum number of experiences to retrieve.

The order in which to sort the experiences, either 'ascending' or 'descending'.

Fetches a list of educational qualifications obtained by Adriel, including the institution name, degree, and field of study.

The unique identifier for the user whose education details are being retrieved.

Determines whether to include professional certifications along with formal education qualifications.

Retrieve the detailed profile information for the user named Adriel, including personal and professional details.

The unique identifier for the user whose profile is being requested.

A flag to determine if the contact details should be included in the profile information.

The desired format for the profile data.