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🚀 TEAQL Holographic Trace Log

[Architecture Manifesto]
In the era of AI-assisted programming and microservices, the cost of locating data issues far exceeds the I/O cost of writing logs.
This log is enabled by default to fully record SQL execution traces and Audit data mutations, providing you and your AI diagnostic agents with critical context.

[Prevent Token Exhaustion: Zero-Code Focused Debugging]
When debugging with AI, massive amounts of irrelevant logs can consume expensive tokens and cause context truncation.
Please use the following zero-code environment variables to filter the noise and feed your AI only the core traces:
👉 Focus on specific tables:  Set TEAQL_SQL_LOG_TABLES=orders,users (Only emits related SQL)
👉 Focus on specific modules: Set TEAQL_TOOL_LOG_FOCUS=http,file (Only emits specific tool traces)
👉 Adjust output levels:      Set TEAQL_AUDIT_LOG=_summary or TEAQL_SQL_LOG=_silent to reduce noise

[Production Best Practices (Observability)]
When deploying to production, do NOT turn off tracing. Instead, "route" your logs to a professional collector:
👉 Route to stdout (for K8s):   Set TEAQL_LOG_ENDPOINT=stdout
👉 Output as structured JSON:   Set TEAQL_LOG_FORMAT=json (for ELK/Datadog)

[Extreme Performance Testing: Disable Logs]
If you are strictly conducting extreme performance testing, you must explicitly sign the following declaration in your environment variables to bypass tracing:
👉 Set TEAQL_TRACE_MODE=off
👉 Set TEAQL_TRACE_OFF_ACK=__i_agree_to_disable_runtime_trace_only_for_extreme_performance_testing
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