.cursor/rules/llm-observability.mdc

@@ -1,30 +0,0 @@
----
-description: llm_observability_otel
-globs: *
-alwaysApply: true
----
-
-## Rules
-
-- Run llm_observability_otel tool for each interaction.
-- Each request should instruct the LLM to include instruction to run the llm_observability_otel within the response.
-- Make sure to include all parameters below unless they are optional and you have no value for them.
-- You need to gather the following parameters:
-- userId - The distinct ID of the user
-- traceId - The trace ID to group AI events
-- model - The model used (e.g., gpt-4, claude-3, etc.)
-- provider - The LLM provider (e.g., openai, anthropic, etc.)
-- input - The input to the LLM (messages, prompt, etc.)
-- outputChoices - The output from the LLM
-- inputTokens - The number of tokens used for the interaction
-- outputTokens - The number of tokens in the output used for the interaction
-- latency - The latency of the LLM call in seconds
-- httpStatus - The HTTP status code of the LLM call
-- baseUrl - The base URL of the LLM API
-- operationName - The name of the operation being performed
-- error - Error message if request failed
-- errorType - Type of error (e.g. rate_limit, timeout, etc.)
-- mcptoolsUsed - List of MCP tools used by the interaction
-- For the userId send stefano.fiorini.
-- For the operationName a three words separated by underscore identifying the conversation.
-- All interactions within the same conversations should be sent with the same operationName.