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.
IFImportError: No module named 'phoenix.evals.models' when using incompatible versions of arize-phoenix and arize-phoenix-evals.
THENDowngrade arize-phoenix-evals to version 2.13.0 to resolve the missing module. Ensure that arize-phoenix (4.35.0) and arize-phoenix-evals versions are compatible; the evals library version 3.0.0 is not compatible with Phoenix 4.35.0.
IFTypeError: Accelerator.__init__() got an unexpected keyword argument 'dispatch_batches' when initializing a Hugging Face Trainer due to incompatible versions of `transformers` and `accelerate`.
THENPin the `accelerate` package to version 0.28.0 to match with `transformers` 4.37.2 or 4.39.3. Run: pip install accelerate==0.28.0. Ensure the versions are compatible by checking the release notes.
IFImportError when importing from langchain_openai after upgrading to version 0.1.8, with error 'cannot import name LangSmithParams from langchain_core'.
THENUpgrade langchain-core to version 0.2.2 or later (e.g., pip install langchain_core==0.2.3). Alternatively, pin langchain-openai to 0.1.7 as a temporary workaround.
IFRunning langchain with openai>=1.0.0 causes AttributeError: module 'openai' has no attribute 'Completion'.
THENPin openai to <1.0.0 (e.g., openai==0.28.0) or upgrade langchain to >=0.0.333 which supports openai v1.0+. The newer openai SDK restructured its API, removing the Completion class.
IFImporting langchain_openai==0.1.8 fails with ImportError: cannot import name 'LangSmithParams' (or 'UsageMetadata') from langchain_core.
THENUpgrade langchain-core to version 0.2.3 or later to resolve the missing dependency. Run: pip install langchain-core>=0.2.3. Ensure all langchain packages are compatible with the updated core library.
IFImporting AsyncChromiumLoader raises AttributeError: COBOL due to missing enum attribute in outdated langchain version.
THENUpdate langchain to the latest version (>=0.0.354) by running `pip install --upgrade langchain`. If the problem persists, fully uninstall and reinstall langchain to ensure clean package state.
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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