Multi-Engine Causal Relationship Finder

Menu path: Hellixia > Multi-Engine Causal Relationship Finder

What it does

Compares causal relationship proposals across multiple configured LLM engines.

Treat Hellixia output as a structured starting point for analyst review, expert refinement, learning, inference, or communication. Generated causal directions and quantification should be checked before they are used operationally.

When to use it

• Cross-checking causal hypotheses
• reducing single-model dependence
• expert review preparation

Inputs

• Selected nodes
• multiple configured LLM engines
• optional General Context

Outputs

• Engine-specific causal proposals
• comparison material for analyst review

Step-by-Step Workflow

1. Prepare the network, source material, selected nodes, selected arcs, or Knowledge Files required by the function.
2. Confirm that Hellixia provider settings and model access are configured.
3. Open Hellixia > Multi-Engine Causal Relationship Finder.
4. Review the available options and add General Context when the model needs domain-specific guidance.
5. Run the function and inspect the generated graph, comments, priors, embeddings, translations, or images.
6. Edit the output in BayesiaLab before using it for analysis, publication, or decision support.

Review Guidance

Check whether the generated labels, relationships, comments, classes, probabilities, or causal effects match the source material and expert understanding. For causal outputs, verify that the proposed direction and mechanism are plausible and that no important confounder or alternative explanation has been hidden by the generated structure.

Related Functions

• Causal Relationship Finder
• Causal Structural Priors