Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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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.
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2258
Tier-1 (public)
4,089
Tier-2 (your patterns)
private to your site
llm_tracing
observability-llm-tracing-need-to-record-and-inspect-llm-calls-agent-steps-a-dbc31ddf
IFNeed to record and inspect LLM calls, agent steps, and other context during development or production.
THENInstall the Opik Python SDK (`pip install opik`) and use the `@opik.track()` decorator on functions that invoke the LLM. Traces and spans are automatically captured and can be annotated with feedback scores via the SDK or UI. Opik integrates natively with frameworks like LangChain, LlamaIndex, and Autogen.
Tier 170%
llm_tracing
observability-llm-tracing-llm-application-lacks-visibility-into-llm-calls-re-89c58f37
IFLLM application lacks visibility into LLM calls, retrieval, or agent actions, making debugging complex logs and user sessions difficult.
THENInstrument your app with Langfuse's tracing SDK (Python, JS/TS) to send traces. Initialize the Langfuse client and wrap LLM calls or use automatic instrumentation for frameworks like OpenAI, LangChain, etc. This enables inspection and debugging of all LLM-related operations in one platform.
Tier 170%
llm_tracing
observability-llm-tracing-you-need-to-monitor-and-debug-llm-application-call-15aea4ba
IFYou need to monitor and debug LLM application calls including retrieval, embedding, and agent actions.
THENInstrument your application with Langfuse SDK or use one of the supported integrations to automatically capture traces. Inspect detailed logs and user sessions in the Langfuse dashboard.
Tier 170%
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