• Create specialized node processors for AI tasks such as text generation, classification, sentiment analysis, and summarization.
  • Allow configuration of different AI backends (OpenAI, Hugging Face, or on-premise LLMs).
  • Implement rate-limiting and caching to control API costs and optimize performance.

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d34dman created an issue. See original summary.

d34dman’s picture

Version: » 1.x-dev
Status: Active » Closed (won't fix)

FlowDrop integrates with Drupal AI ecosystem through following contrib modules.

- https://www.drupal.org/project/flowdrop_ai_provider
- https://www.drupal.org/project/flowdrop_agents

Hence marking this issue as out of scope of this project.

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