Workflow Mechanics

Understanding the mechanics of HermesFlow.ai is key to building efficient and powerful workflows. This guide covers node interactions, data flow, and execution logic.

Node Interactions

Nodes in HermesFlow.ai are not isolated; they communicate through inputs and outputs.

Connection Rules

• Type Compatibility: You can generally connect compatible types (e.g., text output to text input). HermesFlow.ai handles type coercion where possible (e.g., casting a number to a string).
• One-to-Many: An output can feed multiple downstream nodes.
• Many-to-One: Some nodes (like Video Merger) accept multiple inputs of the same type.

Data Flow

Data flows from left to right.

1. Upstream Nodes execute first.
2. Their Outputs are passed to connected downstream nodes.
3. Downstream Nodes wait for all required inputs before executing.

Execution Logic

HermesFlow.ai uses a topological sort to determine the execution order.

1. Validation: The graph is checked for cycles (loops) and missing required inputs.
2. Scheduling: Nodes are scheduled based on their dependencies. Independent nodes run in parallel.
3. Execution: Each node processes its inputs and calls the underlying AI model or service.
4. Result Propagation: Outputs are stored and made available to the next nodes in the chain.

Preview & Debugging

Preview Nodes are automatically generated for visual outputs (images, videos).

• Inspect: Click on a preview node to see the generated content in full resolution.
• Debug: If a node fails, check the error message in the node header. Common issues include API limits or invalid inputs.

Advanced Mechanics

Parallel Execution

Branching your workflow allows for parallel processing. For example, you can generate an image and a text description simultaneously from the same prompt.

Conditional Logic (Coming Soon)

Future updates will include router nodes to direct flow based on conditions (e.g., "If sentiment is positive, do X; else do Y").