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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.
IFChroma.from_documents fails with ValueError: Expected EmbeddingFunction.__call__ to have signature ['self', 'input'] after Nov 7, 2023 Chroma update.
THENUpdate your EmbeddingFunction class's __call__ method to accept only two parameters: self and input (a string or list of strings). Instead of passing args and kwargs, prepare the input and call self.embedding_function(input). For Sagemaker endpoint embeddings, also adjust predict_fn to return sentence_embeddings.tolist() instead of indexing [0].
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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