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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.
IFUsing BedrockChat with Anthropic Claude-3 models (e.g., claude-3-sonnet) fails with ValidationException because the library sends a Completions API format instead of the required Messages API.
THENReplace the Completions API request body (which uses `"prompt"` and `"max_tokens_to_sample"`) with the Messages API format: include an `"anthropic_version": "bedrock-2023-05-31"`, a `"messages"` array with `{"role": ..., "content": ...}`, and `"max_tokens"` instead of `"max_tokens_to_sample"`. You must also update the `LLMInputOutputAdapter.prepare_input` method in langchain-community to handle Claude-3 models, or use a direct boto3 call as a workaround.
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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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