Logic components in Langflow
Logic components provide functionalities for routing, conditional processing, and flow management.
Use a logic component in a flow
This flow creates a summarizing "for each" loop with the Loop component.
The component iterates over a list of Data 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 Langflow 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:
_10Document Summary_10Total Pages Processed_10Total Pages: 2_10Overall Tone of Document_10Tone: Informative and Instructional_10The documentation outlines microservices architecture patterns and best practices._10It emphasizes service isolation and inter-service communication protocols._10The use of asynchronous messaging patterns is recommended for system scalability._10It includes code examples of REST and gRPC implementations to demonstrate integration approaches.
Conditional router (If-Else component)
This component routes an input message to a corresponding output based on text comparison.
The ConditionalRouterComponent routes messages based on text comparison. It evaluates a condition by comparing two text inputs using a specified operator and routes the message accordingly.
Inputs
| Name | Type | Description |
|---|---|---|
| input_text | String | The primary text input for the operation. |
| match_text | String | The text input to compare against. |
| operator | Dropdown | The operator to apply for comparing the texts. |
| case_sensitive | Boolean | If true, the comparison will be case sensitive. |
| message | Message | The message to pass through either route. |
| max_iterations | Integer | The maximum number of iterations for the conditional router. |
| default_route | Dropdown | The default route to take when max iterations are reached. |
Outputs
| Name | Type | Description |
|---|---|---|
| true_result | Message | The output when the condition is true. |
| false_result | Message | The output when the condition is false. |
Data conditional router
This component routes Data objects based on a condition applied to a specified key, including boolean validation.
This component is particularly useful in workflows that require conditional routing of complex data structures, enabling dynamic decision-making based on data content.
Inputs
| Name | Type | Description |
|---|---|---|
| data_input | Data | The data object or list of data objects to process. |
| key_name | String | The name of the key in the data object to check. |
| operator | Dropdown | The operator to apply for comparing the values. |
| compare_value | String | The value to compare against (not used for boolean validator). |
Outputs
| Name | Type | Description |
|---|---|---|
| true_output | Data/List | Output when the condition is met. |
| false_output | Data/List | Output when the condition is not met. |
Flow as tool
This component is deprecated as of Langflow version 1.1.2. Instead, use the Run flow component
This component constructs a tool from a function that runs a loaded flow.
Inputs
| Name | Type | Description |
|---|---|---|
| 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. |
Outputs
| Name | Type | Description |
|---|---|---|
| api_build_tool | Tool | The constructed tool from the flow. |
Listen
This component listens for a notification and retrieves its associated state.
Inputs
| Name | Type | Description |
|---|---|---|
| name | String | The name of the notification to listen for. |
Outputs
| Name | Type | Description |
|---|---|---|
| output | Data | The state associated with the notification. |
Loop
This component iterates over a list of Data objects, outputting one item at a time and aggregating results from loop inputs.
Inputs
| Name | Type | Description |
|---|---|---|
| data | Data/List | The initial list of Data objects to iterate over. |
Outputs
| Name | Type | Description |
|---|---|---|
| item | Data | Outputs one item at a time from the data list. |
| done | Data | Triggered when iteration complete, returns aggregated results. |
Notify
This component generates a notification for the Listen component to use.
Inputs
| Name | Type | Description |
|---|---|---|
| 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. |
Outputs
| Name | Type | Description |
|---|---|---|
| output | Data | The data stored in the notification. |
Pass message
This component forwards the input message, unchanged.
Inputs
| Name | Display Name | Info |
|---|---|---|
| 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. |
Outputs
| Name | Display Name | Info |
|---|---|---|
| output_message | Output Message | The forwarded input message. |
Run flow
This component allows you to run any flow stored in your Langflow database without opening the flow editor.
The Run Flow component can also be used as a tool when connected to an Agent. The name and description metadata that the Agent uses to register the tool are created automatically.
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 the Simple Agent 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.
- Connect the Run Flow component to the Toolset input of the Agent.
Your flow should now look like this:
- Run the flow. The Agent uses the Run Flow component as a tool to run the selected sub-flow.
Inputs
| Name | Type | Description |
|---|---|---|
| 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. |
Outputs
| Name | Type | Description |
|---|---|---|
| run_outputs | A List of types Data, Message, or DataFrame | All outputs are generated from running the flow. |
Sub flow
This component is deprecated as of Langflow version 1.1.2. Instead, use the Run flow component
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.
Inputs
| Name | Type | Description |
|---|---|---|
| flow_name | Dropdown | The name of the flow to run. |
Outputs
| Name | Type | Description |
|---|---|---|
| flow_outputs | List[Data] | The outputs generated from the flow. |
