test Supermemory with LiteLLM Gemini models
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#!/bin/sh
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set -eu
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data_dir=/var/lib/supermemory
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sentinel="$data_dir/.smoke-google-gemini-embedding-2-1024.ok"
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base_url="${SUPERMEMORY_URL:-http://127.0.0.1:6767}"
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container_tag="${SUPERMEMORY_CONTAINER_TAG:-hermes_supermemory_lab}"
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if [ -f "$sentinel" ]; then
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printf '%s\n' '{"smoke":"already-passed"}'
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exit 0
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fi
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api_key=$(cat "$data_dir/api-key")
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auth_header="Authorization: Bearer $api_key"
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marker="supermemory-poc-google-embedding-2-$(date +%s)"
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plan="$data_dir/embedding-plan.json"
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for _ in $(seq 1 30); do
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[ -f "$plan" ] && break
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sleep 1
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done
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grep -q 'openai' "$plan"
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grep -q 'google/gemini-embedding-2' "$plan"
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grep -q '1024' "$plan"
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curl --fail --silent --show-error --max-time 60 \
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-H "$auth_header" \
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-H 'Content-Type: application/json' \
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--data "{\"content\":\"$marker:中文跨文档检索测试;海棠计划的下一步是核对原始报告。\",\"containerTag\":\"$container_tag\",\"customId\":\"$marker\",\"metadata\":{\"source\":\"poc-smoke\",\"status\":\"temporary\"}}" \
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"$base_url/v3/documents" >/tmp/add.json
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found=false
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for _ in $(seq 1 90); do
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curl --fail --silent --show-error --max-time 60 \
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-H "$auth_header" \
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-H 'Content-Type: application/json' \
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--data "{\"q\":\"海棠计划下一步是什么?\",\"containerTag\":\"$container_tag\",\"searchMode\":\"hybrid\",\"limit\":5}" \
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"$base_url/v4/search" >/tmp/search.json
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if grep -q '核对原始报告' /tmp/search.json && grep -q 'poc-smoke' /tmp/search.json; then
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found=true
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break
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fi
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sleep 2
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done
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[ "$found" = true ]
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curl --fail --silent --show-error --max-time 60 \
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-H "$auth_header" \
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-H 'Content-Type: application/json' \
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--data "{\"containerTag\":\"$container_tag\",\"q\":\"海棠计划\"}" \
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"$base_url/v4/profile" >/tmp/profile.json
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grep -q '"profile"' /tmp/profile.json
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curl --fail --silent --show-error --max-time 60 \
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-H "$auth_header" \
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-H 'Content-Type: application/json' \
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--data "{\"conversationId\":\"$marker\",\"containerTags\":[\"$container_tag\"],\"messages\":[{\"role\":\"user\",\"content\":\"这只是隔离测试。\"},{\"role\":\"assistant\",\"content\":\"不会作为正式事实。\"}],\"metadata\":{\"source\":\"poc-smoke\",\"status\":\"temporary\"}}" \
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"$base_url/v4/conversations" >/tmp/conversation.json
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touch "$sentinel"
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printf '%s\n' '{"embedding_plan":"openai/google/gemini-embedding-2/1024","llm":"gemini-3.5-flash-lite","chinese_hybrid_search":"ok","metadata_traceability":"ok","profile":"ok","conversation_ingest":"accepted"}'
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