Logic
Logic components provide functionalities for routing, conditional processing, and flow management.
Last updated
Logic components provide functionalities for routing, conditional processing, and flow management.
Last updated
This flow creates a summarizing "for each" loop with the component.
The component iterates over a list of objects until it's completed, and then the Done loop aggregates the results.
The File component loads text files from your local machine, and then the Parse Data component parses them into a list of structured Data objects. The Loop component passes each Data object to a Prompt to be summarized.
When the Loop component runs out of Data, the Done loop activates, which counts the number of pages and summarizes their tone with another Prompt. This is represented in BroxiAI by connecting the Parse Data component's Data List output to the Loop component's Data loop input.
The output will look similar to this:
This component routes messages by comparing two strings. It evaluates a condition by comparing two text inputs using the specified operator and routes the message to true_result or false_result.
The operator looks for single strings based on your defined operator behavior, but it can also search for multiple words by regex matching.
To use the Conditional router component to check incoming messages with regex matching, do the following:
Connect the If-Else component's Text Input port to a Chat Input component.
In the If-Else component, enter the following values.
In the Match Text field, enter .*(urgent|warning|caution).*. The component looks for these values. The regex match is case sensitive, so to look for all permutations of warning, enter warning|Warning|WARNING.
In the Operator field, enter regex. The component looks for the strings urgent, warning, and caution. For more operators, see Operator behavior.
In the Message field, enter New Message Detected. This field is optional. The message is sent to both the True and False ports. The component is now set up to send a New Message Detected message out of its True port if it matches any of the strings. If no strings are detected, it sends a message out of the False port.
Create two identical flows to process the messages. Connect an Open AI component, a Prompt, and a Chat Output component together.
Connect one chain to the If-Else component's True port, and one chain to the False port.
The flow looks like this:
Add your OpenAI API key to both OpenAI components.
In both Prompt components, enter the behavior you want each route to take. When a match is found: Send a message that a new message has been received and added to the Urgent queue.
When a match is not found: Send a message that a new message has been received and added to the backlog.
Open the Playground.
Send the flow some messages. Your messages route differently based on the if-else component's evaluation.
input_text
String
The primary text input for the operation.
match_text
String
The text input to compare against.
operator
Dropdown
The operator to compare texts. Options: "equals", "not equals", "contains", "starts with", "ends with", "regex". Default: "equals".
case_sensitive
Boolean
If true, the comparison is case sensitive. This setting is ignored for regex comparison. Default: false.
message
Message
The message to pass through either route.
max_iterations
Integer
The maximum number of iterations for the conditional router. Default: 10.
default_route
Dropdown
The default route to take when max iterations are reached. Options: "true_result" or "false_result". Default: "false_result".
true_result
Message
The output when the condition is true.
false_result
Message
The output when the condition is false.
The If-else component includes a comparison operator to compare the values in input_text and match_text.
All options respect the case_sensitive setting except regex.
equals: Exact match comparison.
not equals: Inverse of exact match.
contains: Checks if match_text is found within input_text.
starts with: Checks if input_text begins with match_text.
ends with: Checks if input_text ends with match_text.
regex: Performs regular expression matching. It is always case sensitive and ignores the case_sensitive setting.
This component listens for a notification and retrieves its associated state.
name
String
The name of the notification to listen for.
output
Data
The state associated with the notification.
In this example, the Loop component iterates over a CSV file through the Item port until there are no rows left to process. Then, the Loop component performs the actions connected to the Done port, which in this case is loading the structured data into Chroma DB.
Think of it this way: the Item port forms the "main" loop that repeats until a "complete" condition is reached.
The Loop component accepts Data from the Load CSV component, and outputs the data from the Item port.
Each CSV row is converted to a Message and processed into structured data with the Structured Output component. The dotted line connected from the Structured Output component's Looping port tells you where the loop begins again.
The Loop component repeatedly extracts rows by Text Key until there are no more rows to extract.
Once all items are processed, the action connected to the Done port is performed. In this example, the data is loaded into Chroma DB.
data
Data/List
The initial list of Data objects to iterate over.
item
Data
Outputs one item at a time from the data list.
done
Data
Triggered when iteration complete, returns aggregated results.
This component generates a notification for the Listen component to use.
name
String
The name of the notification.
data
Data
The data to store in the notification.
append
Boolean
If true, the record will be appended to the existing notification.
output
Data
The data stored in the notification.
This component forwards the input message, unchanged.
input_message
Input Message
The message to be passed forward.
ignored_message
Ignored Message
A second message to be ignored. Used as a workaround for continuity.
output_message
Output Message
The forwarded input message.
This component allows you to run any flow stored in your BroxiAI database without opening the flow editor.
When you select a flow, the component fetches the flow's graph structure and uses it to generate the inputs and outputs for the Run Flow component.
To use the Run Flow component as a tool, do the following:
Add the Run Flow component to flow.
In the Flow Name menu, select the sub-flow you want to run. The appearance of the Run Flow component changes to reflect the inputs and outputs of the selected flow.
On the Run Flow component, enable Tool Mode.
Run the flow. The Agent uses the Run Flow component as a tool to run the selected sub-flow.
flow_name_selected
Dropdown
The name of the flow to run.
flow_tweak_data
Dict
Dictionary of tweaks to customize the flow's behavior.
dynamic inputs
Various
Additional inputs that are generated based on the selected flow.
run_outputs
A List of types Data, Message, or DataFrame
All outputs are generated from running the flow.
Legacy components are available to use but no longer supported.
This component routes Data objects based on a condition applied to a specified key, including boolean validation. It can process either a single Data object or a list of Data objects.
This component is particularly useful in workflows that require conditional routing of complex data structures, enabling dynamic decision-making based on data content.
data_input
Data
The Data object or list of Data objects to process. This input can handle both single items and lists.
key_name
String
The name of the key in the Data object to check.
operator
Dropdown
The operator to apply. Options: "equals", "not equals", "contains", "starts with", "ends with", "boolean validator". Default: "equals".
compare_value
String
The value to compare against. Not shown/used when operator is "boolean validator".
true_output
Data/List
Output when the condition is met.
false_output
Data/List
Output when the condition is not met.
equals: Exact match comparison between the key's value and compare_value.
not equals: Inverse of exact match.
contains: Checks if compare_value is found within the key's value.
starts with: Checks if the key's value begins with compare_value.
ends with: Checks if the key's value ends with compare_value.
boolean validator: Treats the key's value as a boolean. The following values are considered true:
Boolean true.
Strings: "true", "1", "yes", "y", "on" (case-insensitive).
Any other value is converted using Python's bool() function.
The following actions occur when processing a list of Data objects:
Each object in the list is evaluated individually
Objects meeting the condition go to true_output
Objects not meeting the condition go to false_output
If all objects go to one output, the other output is empty
Deprecated components have been replaced by newer alternatives and should not be used in new projects.
This component constructs a tool from a function that runs a loaded flow.
flow_name
Dropdown
The name of the flow to run.
tool_name
String
The name of the tool.
tool_description
String
The description of the tool.
return_direct
Boolean
If true, returns the result directly from the tool.
api_build_tool
Tool
The constructed tool from the flow.
This SubFlowComponent generates a component from a flow with all of its inputs and outputs.
This component can integrate entire flows as components within a larger workflow. It dynamically generates inputs based on the selected flow and executes the flow with provided parameters.
flow_name
Dropdown
The name of the flow to run.
flow_outputs
List[Data]
The outputs generated from the flow.
This component iterates over a list of objects, outputting one item at a time and aggregating results from loop inputs.
The component can also be used as a tool when connected to an . The name and description metadata that the Agent uses to register the tool are created automatically.
Connect the Run Flow component to the Toolset input of the Agent.
Inputs
Outputs
Operator behavior
List processing
Inputs
Outputs
Inputs
Outputs
