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.
IFInvalid version error when using LangChain's Replicate class for models like Llama 3 that do not expose a version string.
THENUse the Replicate Python package directly with replicate.run() instead of LangChain's Replicate class, as the version parameter is not required for public models. For example: import replicate; replicate.run('meta/meta-llama-3-70b-instruct', input={'top_p': 0.9, 'prompt': prompt, 'max_tokens': 512, 'temperature': 0.6, 'prompt_template': '<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are a helpful assistant<|eot_id|><|start_header_id|>user<|end_header_id|>\n\n{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n', 'presence_penalty': 1.15, 'frequency_penalty': 0.2}).
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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