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.
IFAfter persisting a SimpleChatStore that contains tool call interactions and reloading it on a subsequent request, the OpenAI API throws a BadRequestError: 'Invalid parameter: messages with role 'tool' must be a response to a preceding message with 'tool_calls.'
THENValidate the message order after loading the chat store: ensure each message with role 'tool' is immediately preceded by a message with role 'tool_calls'. If not, reorder or rebuild the message list. Upgrade to a version of llama_index where ChatMemoryBuffer automatically pairs tool and assistant messages. Avoid persisting the chat store during an active streaming response; persist only after the stream is fully consumed. Use file locking or atomic writes when multiple requests may write to the same chat store file concurrently.
Connect your site → query the full pool
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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