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.
IFWhen using AWS Bedrock Claude models with tools that have no required or all optional parameters, the tool call index in streaming chunks may jump (e.g., from 0 to 1) for the same tool call, causing downstream parsers like LangChain to misinterpret it as multiple tool calls.
THENIn the streaming handler for Bedrock Claude, replace the use of `chunk_data['contentBlockIndex']` for setting the tool call index with the internal counter `self.tool_calls_index` to ensure consistent indexing across all chunks of the same tool call. This is already applied in invoke_handler.py line 1387-1389 of LiteLLM v1.74.8+.
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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