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feat(mcp): Support explicit transformed time-series searches - #2017
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This was referenced Nov 5, 2026
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November 9, 2026 11:40
Expose ordered pipelines for trace, log, and metric searches without an AI provider. Preserve explicit settings through translation and fallback and reconstruct the applied configuration in Explore links. Refs EXP-1408 Co-Authored-By: GPT-6.1 Sol <noreply@openai.com>
Exclude Seer charts without a matching interval from inferred time-series axes. Reject transformations on unbucketed charts instead of dropping them; explicit caller overrides retain precedence. Co-Authored-By: GPT-6.1 Sol <noreply@openai.com>
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Prefer ordered axes when embedded responses also contain legacy fields. Reject invalid ordered output instead of falling back to a single series, and update the agent prompt to describe axes and per-axis transformations. Co-Authored-By: GPT-6.1 Sol <noreply@openai.com>
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Expose ordered per-axis pipelines on trace, log, and metric searches for EXP-1408. Explicit searches run without an AI provider, and explicit settings survive translation and provider fallback. Embedded-agent and Seer routes normalize into the shared model; Explore links reproduce the applied axes, pipelines, and interval.
The three tools use the shared structured result envelope and declare ordered
series[]andrequestedIntervalfields for explicit, transformed, or multi-axis results. Ordinary inferred single-axis results retain the existingtimeSeriesshape. Text output remains equivalent to the structured payload, and legacysearch_eventscontinues to return text.Regression coverage checks SDK dispatch and output schemas, all three datasets, precedence, retries, response validation, URL reconstruction, and Seer outcome reporting after result validation.