Component Types

Components are the building blocks of an Agentic Flow. They are organised into categories in the sidebar. Each component exposes input and output handles that determine how data flows between them.

Saved

The Saved category lists components you have previously saved from the canvas for reuse across flows. Right-click any component on the canvas and select Save to add it here.

Input / Output

Component	Description
Input	The entry point for the flow. Receives the user’s message or trigger payload and passes it downstream.
Output	The exit point of the flow. Returns the final result to the caller or connected channel.

The Playground is only available when the flow contains at least one Input and one Output component.

Prompts

Component	Description
Prompt	Constructs a prompt string from a template. Supports variable interpolation using {variable} syntax. The output is a formatted prompt message passed to an Agent component.

Data

Component	Description
API Request	Makes an HTTP request to an external URL and passes the response downstream.
File	Loads a file (uploaded or from a URL) and makes its content available to the flow.
MySQL	Executes a query against a MySQL database and returns the results.
PostgreSQL	Executes a query against a PostgreSQL database and returns the results.
Redshift	Executes a query against an Amazon Redshift data warehouse.
S3 Operations	Reads from or writes to an Amazon S3 bucket.
SQL Query	Executes a SQL query against a configured database connection.
URL	Fetches content from a URL and returns the raw response.
Webhook	Receives an inbound HTTP request and uses the payload as input to the flow.

Processing

Component	Description
Combine Data	Merges outputs from multiple upstream components into a single data object.
Data → DataFrame	Converts raw data into a tabular DataFrame structure for further processing.
Data Operations	Applies transformations to structured data (filter, map, merge, rename, remove keys, etc.).
DataFrame Operations	Applies operations on a DataFrame (sort, filter, sample, select columns).
Document Parser	Extracts text and structure from documents (PDF, DOCX, etc.) using configurable parsing strategies.
Ingest Approved Response	Captures the approved response from a Human In The Loop step and injects it back into the flow.
Lambda Filter (Beta)	Filters a list of items using a custom expression.
LLM Router	Routes the flow to one of several downstream paths based on the output of an LLM classification.
Message to Data (Beta)	Converts a conversation message object into a structured data record.
Parser	Parses structured text (JSON, XML, CSV) into a usable data object.
Regex Extractor	Extracts values from text using a regular expression pattern.
Split Text	Splits text or a DataFrame into chunks using configurable size and overlap settings.
Streaming Data to Message	Converts a streaming data response into a standard message format.

Knowledge Base

Component	Description
Knowledge Retrieval	Retrieves relevant chunks from a knowledge base using semantic search. Connects to knowledge bases configured in the Foundry.
OpenSearch	Queries an Amazon OpenSearch index directly with configurable search type, scoring threshold, and hybrid search support.

Agents

Component	Description
Agent	A general-purpose autonomous agent that uses an LLM with tools and knowledge bases to reason and act over multiple steps.
Intent Classification Agent (Beta)	Classifies the user’s intent and returns a structured output with the classified category.
Human In The Loop (Beta)	Pauses the flow and sends an approval request to configured delivery targets. Resumes once approved or rejected.
Channel Agent (Legacy)	An agent wired to a communication channel. Handles inbound messages and routes outbound replies to configured delivery targets. Superseded by the Channel Output node — use Channel Output for all new channel integrations. See Channels.
Flow Agent	Calls another Agentic Flow as a sub-flow and returns its output into the current flow.
Voice Agent Call	Triggers a Voice Agent call and returns the call response.
Break Agent	Immediately terminates the current flow execution with an optional break reason and instruction.

Logic

Component	Description
If-Else	Branches the flow based on a boolean condition evaluated against an input value.
Condition (Legacy)	Evaluates a conditional expression and routes to one of multiple output paths based on the result.
Code Execution	Executes a Python snippet and returns the result. Use for custom logic that cannot be expressed with other components.
Guardrail	Applies a configured guardrail policy to data passing through this point. Blocks or flags content that violates the policy.
Loop	Iterates over a list of items and executes a downstream path for each item.
Run Flow (Beta)	Executes another flow by ID and returns its output.
Confidence Score Component	Evaluates a confidence score and branches on whether it exceeds a configured threshold.

Others

Component	Description
Notes	A non-executable annotation node. Add comments or labels to sections of the canvas.
Current Date	Outputs the current date and time, which can be injected into prompts or conditions.
Message History	Retrieves the conversation message history for use in prompts or as context for an agent.
Structured Output	Parses agent output into a structured schema (JSON object) according to a defined format.

Integrations

The Integrations category combines built-in tools, MCP tool components, and any custom tools configured in the workspace. The category is always visible; the components inside depend on what has been set up by a workspace administrator.

Component	Description
Calculator	Evaluates a mathematical expression and returns the result.
Python REPL	Executes Python code in a sandboxed environment and returns the output.
MCP Client	Connects to an MCP (Model Context Protocol) server configured in the workspace and exposes its tools to an Agent component.
Public MCP Client	Connects to any publicly accessible MCP server by URL.
Custom Tools	In-house and custom tools added by a workspace administrator. Each appears as a draggable component once configured.

Bundles

Bundles are grouped sets of components from a specific vendor or framework. They appear as collapsible sections at the bottom of the sidebar.

Agentic Patterns

Advanced multi-agent orchestration components for structured collaboration and task decomposition.

Component	Description
Agent Capability	Defines a capability that can be assigned to an agent within a multi-agent pattern.
Collaboration Orchestrator	Orchestrates multiple agents working in parallel or sequence to complete a shared goal.
Hierarchical Decomposer	Decomposes a goal into a hierarchical task tree and assigns sub-tasks to agents.
Task Decomposer	Breaks down a high-level task into smaller sub-tasks for downstream agents.
Task Orchestrator	Coordinates execution of a task graph produced by a decomposer.
Task Visualization	Renders a task graph for inspection and monitoring within the flow.

Memories

Component	Description
PostgreSQL Chat Memory	Stores and retrieves conversation history from a PostgreSQL database for persistent memory across sessions.

Amazon / AWS

Component	Description
Amazon Bedrock Embeddings	Generates text embeddings using Amazon Bedrock embedding models.
Amazon Bedrock Model	Calls an Amazon Bedrock language model and returns the response.
Amazon Intelligent Document Parser	Extracts structured data from documents using Amazon Bedrock Data Automation.
AWS AgentCore Code Interpreter	Executes code using the AWS AgentCore managed code interpreter service.
AWS AgentCore Memory	Stores and retrieves long-term memory using the AWS AgentCore Memory service.
AWS Nova Image Generation	Generates images using Amazon Nova via Amazon Bedrock.
AWS Stability Image Generation	Generates images using Stability AI models via Amazon Bedrock.
S3 Bucket Uploader	Uploads files to a specified Amazon S3 bucket.

LangChain

Component	Description
CharacterTextSplitter	Splits text into chunks using a character-based splitter.
CSV Agent	A LangChain agent that can read and query CSV files using natural language.
SQL Agent	A LangChain agent that can query a SQL database using natural language.
SQLDatabase	Connects to a SQL database and exposes it as a data source for LangChain agents.
Tool Calling Agent	A LangChain agent that uses tool-calling capable language models to reason and act.
XML Agent (Beta)	A LangChain agent that processes XML-structured inputs and tool responses.

MCP

Component	Description
MCP Client	Connects to an MCP (Model Context Protocol) server configured in the workspace and exposes its tools to an Agent component.
Public MCP Client	Connects to any publicly accessible MCP server by URL.

Red Hat

Component	Description
Red-Hat OpenAI Chat	Calls a Red Hat–hosted OpenAI-compatible chat endpoint and returns the response.