Agent Data Caller

The Agent Data Caller node enables you to access data from other agents in your workspace, allowing for cross-agent data sharing and integration. This node connects agents together by retrieving specific field outputs from nodes in different agents, creating powerful agent orchestration capabilities.

Choose the source agent containing the data you want to access:

Purpose: Identify which agent contains the data you need to retrieve

Selection Method: Use the dropdown to browse available agents in your workspace

Default State: Shows "None Selected" until a agent is chosen

Connection Point: Can receive agent selection from other agent nodes

Access Requirements: You must have access permissions to the target agent

Choose the specific node within the selected agent:

Purpose: Identify which node's output data you want to access

Selection Method: Use the dropdown to browse nodes available in the selected agent

Default State: Shows "Select a Node" until a node is chosen

Connection Point: Can receive node selection from other agent nodes

Dependency: Only becomes available after selecting a agent

Choose the specific output field from the selected node:

Purpose: Specify which data field you want to retrieve from the target node

Selection Method: Use the dropdown to browse available output fields from the selected node

Default State: Shows "None Selected" until a field is chosen

Refresh Option: Use the refresh icon to update available fields if the output field has been updated in the containing agent and node

Main Output: Displays the retrieved data in the Output section

Data Format: Preserves the original format and structure of the source data

Real-time Access: Retrieves current data from the source agent when executed

Connection Point: Retrieved data can feed into other agent nodes for further processing

Agent Selection: Choose the source agent from your workspace

Node Identification: Select the specific node containing the desired output

Field Specification: Choose the exact data field to retrieve

Data Access: Node retrieves the current value from the specified source

Output Delivery: Retrieved data becomes available for downstream processing

Naming Conventions: Use clear, descriptive names for agents to make selection easier

Documentation: Document which agents provide data for others to reference

Version Control: Be aware that changes to source agents affect data retrieval

Access Management: Ensure proper permissions are set for cross-agent access

Field Stability: Use stable output field names in source agents to prevent broken connections

Data Validation: Verify that retrieved data meets expected format and content requirements

Error Handling: Plan for cases where source agents are unavailable or have changed

Update Frequency: Consider how often source data changes and plan execution timing accordingly

Agent Dependencies: Understand the execution order requirements between connected agents

Resource Planning: Account for additional processing time when accessing external agent data

Caching Strategy: Consider data freshness requirements versus performance needs

Network Latency: Factor in potential delays when accessing data from different agent instances

Data Agent Design: Plan cross-agent connections as part of overall system architecture

Dependency Mapping: Document which agents depend on others for data

Modular Design: Create reusable agents that can serve data to multiple consumers

Separation of Concerns: Use data caller patterns to separate data generation from data consumption

Permission Management: Ensure appropriate access controls for sensitive agent data

Data Governance: Implement policies for cross-agent data sharing

Audit Trail: Track which agents access data from others for compliance and debugging

Privacy Considerations: Be mindful of data privacy requirements when sharing across agents

Data Aggregation: Combine outputs from multiple specialized agents

Reporting Systems: Pull data from various source agents into consolidated reports

Monitoring Dashboards: Access real-time data from operational agents

Cross-Team Collaboration: Share data between agents managed by different teams

Microservice Architecture: Implement agent-based microservices with data sharing capabilities

Connection Issues: Verify source agent accessibility and permissions

Field Changes: Check if source node fields have been modified or renamed

Data Format: Ensure retrieved data format matches expectations in consuming agent

Execution Timing: Coordinate execution schedules between dependent agents

The Agent Data Caller provides essential capabilities for building interconnected agent ecosystems, enabling sophisticated data sharing and agent orchestration patterns across your workspace.