EigenData-CLI adds a chatbot layer on top of the EigenData framework. Instead of writing prompts and configuring agents directly, you interact with a conversational interface that translates your natural-language requests into the prompts that drive the orchestration layer. Every core feature follows the same interaction pattern: describe your task → guided parameter collection → review and confirm → execute. Every core feature follows the same interaction pattern: describe your task → guided parameter collection → review and confirm → execute.Documentation Index
Fetch the complete documentation index at: https://docs.eigenai.com/llms.txt
Use this file to discover all available pages before exploring further.
Describe your task
Start by telling the CLI what you want to do in plain language:Guided parameter collection
If any required parameters are missing, the CLI asks for them conversationally. You respond in natural language, and the system extracts the relevant values from your reply:
reference_doc or data_language at any point during the conversation.
Review and confirm
Once all parameters are ready, the CLI displays a configuration summary with source annotations showing where each value came from, and presents an action menu:
| Option | Description |
|---|---|
1 | Run the task with current configuration |
2 | Restart from scratch (pick a different task) |
3 | Edit individual parameters interactively |
| Text input | Type natural language to refine the configuration |
/execute command with a YAML configuration file, or manage settings with /configure.