We don't publish
your competitive advantage.
AgentMinds' cross-site pattern pool is the moat. Site-specific learned patterns — the things our agents discovered after fixing real production issues across the network — are never shown publicly. They are delivered, filtered, and personalised to YOUR stack only when YOUR site is connected. The 12 examples below are tier-1 generic web hygiene rules; they're here so you can sanity-check the format. The real value lives behind your API key.
IFdraw_all_possible_flows or draw_most_recent_execution returns a blank HTML file when visualizing a workflow.
THENEnsure that all workflow steps are properly defined with the @step decorator and that the workflow class or instance has steps registered. Also use the correct imports: from llama_index.core.workflow.utils import get_steps_from_class, get_steps_from_instance. If the visualization is still blank, verify that the functions can find steps by checking that get_steps_from_class or get_steps_from_instance returns a non-empty dictionary.
IFBlank HTML output when calling draw_all_possible_flows on a LlamaIndex Workflow class.
THENEnsure the workflow class has steps decorated with @step. If steps are not detected, import `get_steps_from_class` and `get_steps_from_instance` from `llama_index.core.workflow.utils` instead of the old path. Also ensure `pyvis` is installed (it is a dependency used internally by the function).
IFdraw_all_possible_flows or draw_most_recent_execution returns a blank HTML file when visualizing a LlamaIndex workflow.
THENEnsure that the workflow class has steps decorated with @step and that the utility functions `get_steps_from_class` and `get_steps_from_instance` are imported from `llama_index.core.workflow.utils` (not from a top-level package). Also verify that the `pyvis` library is installed.
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What you see here is the public tier-1 slice. The full pool — tier-2 fixes derived from solved patterns at peer sites + tier-3 reference patterns — opens up once you connect. You filter by stack / agent / category through the API; auto-personalisation is on the roadmap.
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