From 15703063ea88a08af8f024bfca4477cd305f129f Mon Sep 17 00:00:00 2001
From: Claw <claw@devop.live>
Date: Tue, 30 Jun 2026 22:47:16 -0500
Subject: [PATCH] fix: align 4 more intelligence routes to ethereal_workers_v1
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Same index↔dataset misalignment swept across the intelligence handler — four more
/vectors/hybrid calls that paired workers_500k_v1 with filter_dataset ethereal_workers:
- similar-workers route (~2418)
- semantic role-discovery route (~2459)
- smart_search route (~2869)
- scenario worker-find (~3531)

Verified: no workers_500k_v1 index remains paired with the ethereal_workers dataset;
the 9 remaining refs are correctly aligned (workers_500k dataset) or pure RAG. Server
boots clean. Takes effect on next mcp-server restart.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
---
 mcp-server/index.ts | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/mcp-server/index.ts b/mcp-server/index.ts
index d809fa2..bff3192 100644
--- a/mcp-server/index.ts
+++ b/mcp-server/index.ts
@@ -2415,7 +2415,7 @@ async function main() {
               queries.push(`Vector: Semantic similarity on ${worker.name}'s full profile → ${stateFilter}`);
               const searchR = await api("POST", "/vectors/hybrid", {
                 question: worker.resume_text || `${worker.role} in ${worker.city} with skills ${worker.skills}`,
-                index_name: "workers_500k_v1",
+                index_name: "ethereal_workers_v1",  // align with ethereal_workers dataset
                 sql_filter: stateFilter + ` AND CAST(reliability AS DOUBLE) >= 0.7`,
                 filter_dataset: "ethereal_workers", id_column: "worker_id", top_k: 5, generate: false,
               });
@@ -2456,7 +2456,7 @@ async function main() {
             queries.push(`Vector: Semantic search for "${roleDesc}" — no exact role match needed`);
             const searchR = await api("POST", "/vectors/hybrid", {
               question: `Worker experienced in ${roleDesc}, relevant skills and certifications`,
-              index_name: "workers_500k_v1", sql_filter: "CAST(reliability AS DOUBLE) >= 0.75",
+              index_name: "ethereal_workers_v1", sql_filter: "CAST(reliability AS DOUBLE) >= 0.75",  // align w/ dataset
               filter_dataset: "ethereal_workers", id_column: "worker_id", top_k: 8, generate: false,
             });
             return ok({ type: "discovery", summary: `${(searchR.sources||[]).length} workers found through semantic skill matching for: "${roleDesc}"`,
@@ -2866,7 +2866,7 @@ async function main() {
 
             const [searchR, directR, patternR] = await Promise.all([
               api("POST", "/vectors/hybrid", {
-                question: q, index_name: "workers_500k_v1", sql_filter: filterStr,
+                question: q, index_name: "ethereal_workers_v1", sql_filter: filterStr,  // align w/ dataset
                 filter_dataset: "ethereal_workers", id_column: "worker_id",
                 // Honor the parsed headcount (capped at 25 to keep the
                 // vector rerank from re-scoring more rows than render).
@@ -3528,7 +3528,7 @@ async function runWeekSimulation() {
         const filt = `role = '${role}' AND state = '${state}' AND reliability >= ${minRel}`;
         const r = await api("POST", "/vectors/hybrid", {
           question: `Find ${role} workers in ${city}, ${state} for ${scenario.situation}`,
-          index_name: "workers_500k_v1",
+          index_name: "ethereal_workers_v1",  // align with ethereal_workers dataset
           sql_filter: filt,
           filter_dataset: "ethereal_workers",
           id_column: "worker_id",