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Querying traces with SQL and code mode is significantly cheaper than having an LLM process individual spans.

AITechnologyConflictOct 16, 2026score 0.172 posts · 0 replies across 1 instances
The posts promote a method for querying observability traces using SQL and code mode instead of having an LLM read individual spans. The claim is that this approach is significantly more cost-effective, specifically citing a 17x cost reduction.

Claims

Querying traces with SQL and code mode is significantly cheaper than having an LLM process individual spans.
Parent: Artificial IntelligenceEntity: LLM cost optimizationSub-entity: trace queryingImpact: positiveDate: Oct 16, 2026Target: SQL + code mode for trace querying

Source posts

@[email protected]
Why make an LLM read thousands of spans to count errors? In our benchmark, querying traces with SQL + code mode cost ~17x less than fetching spans page by page. Arize AI See how @ArizePhoenix MCP does it, live in Claude Code and Cursor. Register here: https://luma.com/arizeai-query-phoenix-traces-with-sql-emea?utm_source=socials&utm_medium=socials&utm_campaign=2026-11-05+-+Webinar+-+Query+Phoenix+traces+with+SQL+-+EMEA&utm_content=invite
0 boosts · 0 favs · 0 replies · Oct 16, 2026
@[email protected]
Why make an LLM read thousands of spans to count errors? In our benchmark, querying traces with SQL + code mode cost ~17x less than fetching spans page by page. See how @ArizePhoenix MCP does it, live in Claude Code and Cursor. Register here: https://luma.com/arizeai-query-phoenix-traces-with-sql-emea?utm_source=socials&utm_medium=socials&utm_campaign=2026-11-05+-+Webinar+-+Query+Phoenix+traces+with+SQL+-+EMEA&utm_content=invite
0 boosts · 0 favs · 0 replies · Oct 16, 2026