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.
IFOpenAIAssistantRunnable.create_assistant raises TypeError: 'Assistants.create() got an unexpected keyword argument file_ids' when using newer OpenAI API client version.
THENRemove the file_ids parameter from the create_assistant call. If files are needed, attach them after creation using the OpenAI file upload and assistant file linking endpoints. Alternatively, update LangChain to a version that handles this API change.
IFOpenAIAssistantRunnable.create_assistant raises TypeError: 'got an unexpected keyword argument file_ids' when using OpenAI API v2.
THENUpdate the LangChain code to remove the `file_ids` parameter from the `client.beta.assistants.create` call, as the OpenAI Assistants v2 API no longer supports it. If v1 is required, pin openai<=1.20, but migrate to v2 for future compatibility.
IFUsing OpenAIAssistantRunnable.create_assistant with file_ids parameter on OpenAI assistant API V2 raises TypeError because file_ids is no longer accepted.
THENRemove the file_ids parameter from the create_assistant call. In LangChain's base.py, update the create_assistant method to stop passing file_ids to the OpenAI API. If file attachment is needed, use the newer API methods for attaching files after assistant creation.
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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