test Supermemory with native Gemini

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Codex
2026-09-08 23:55:40 -07:00
parent cc3e05298b
commit e8f98c1ed7
4 changed files with 75 additions and 94 deletions
+3 -5
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@@ -1,8 +1,6 @@
# Set only in the unRaid Arcane Project environment. Never commit the real file.
SUPERMEMORY_IPV4_ADDRESS=
# Extraction/summarization LLM. OPENAI_BASE_URL may point to an approved
# OpenAI-compatible endpoint; keep it blank for the OpenAI API.
OPENAI_API_KEY=
OPENAI_BASE_URL=
OPENAI_MODEL=gpt-5.1
# Native Gemini powers extraction/summarization and remote embeddings.
# Keep the real key only in this Project's Arcane environment.
GEMINI_API_KEY=
+24 -26
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@@ -10,10 +10,10 @@ production Hindsight service or change the default Hermes profile.
cache live under `/mnt/user/appdata/supermemory-poc/data`.
- A dedicated address on Docker `br0`; port `6767` is not published on the
unRaid host address.
- Remote OpenAI-compatible embeddings through HK LiteLLM using
`google/gemini-embedding-2` at 1024 dimensions.
- Extraction, summarization, and other intelligent steps use
`gemini-3.5-flash-lite` through the same LiteLLM endpoint.
- Native Gemini embeddings using `gemini-embedding-2` at 768 dimensions.
- Extraction, summarization, and other intelligent steps use Supermemory's
native Gemini provider default. This cleanly removes the LiteLLM and
OpenAI-compatible translation layer from the diagnostic path.
- Ingest concurrency remains 1 so the first POC emphasizes correctness and
observable cost over throughput.
- Resource ceiling: 4 CPUs and 8 GiB RAM. Supermemory Local keeps its corpus
@@ -26,11 +26,10 @@ directory and re-ingest when comparing a different embedding plan.
1. Confirm the chosen `SUPERMEMORY_IPV4_ADDRESS` is absent from both Arcane's
`br0` attachments and the LAN neighbor/DHCP tables.
2. Add `SUPERMEMORY_IPV4_ADDRESS`, `OPENAI_API_KEY`,
`OPENAI_BASE_URL=https://api.opfo.xyz/v1`, and
`OPENAI_MODEL=gemini-3.5-flash-lite` to this Project's Arcane environment.
`OPENAI_API_KEY` is the HK LiteLLM bearer key. Do not put it in Git,
Compose, activity notes, or chat.
2. Add `SUPERMEMORY_IPV4_ADDRESS` and `GEMINI_API_KEY` to this Project's
Arcane environment. Do not put the key in Git, Compose, activity notes, or
chat. Legacy `OPENAI_*` values may remain stored in Arcane for rollback,
but this Compose file does not inject them into the container.
3. Confirm `/mnt/user/appdata` has room for the 298 MiB server binary, the
multilingual model cache, data, and rollback copy.
4. Confirm no other build, image pull, backup, or migration is active on the
@@ -49,7 +48,7 @@ image build is required.
The server creates its client bearer token at:
`/mnt/user/appdata/supermemory-poc/data-google-gemini-embedding-2-1024/api-key`
`/mnt/user/appdata/supermemory-poc/data-gemini-embedding-2-768/api-key`
Read it through an authorized unRaid/Arcane console without printing it into
logs. Save it only as `SUPERMEMORY_API_KEY` in the `supermemory-lab` Hermes
@@ -83,24 +82,23 @@ used by Hermes.
### Embedding plan and smoke gate
The earlier local `Xenova/bge-m3` experiment is preserved under the old `data`
directory because embedding plans cannot be changed in place. This deployment
uses the fresh `data-google-gemini-embedding-2-1024` directory. The one-shot
`supermemory-smoke` service verifies the locked embedding plan, performs a
Chinese hybrid-search round trip, checks provenance metadata, and exercises
the profile and conversation endpoints. It writes a sentinel after success so
ordinary redeploys do not add duplicate smoke documents. Do not import sampled
The earlier local `Xenova/bge-m3` and LiteLLM-backed embedding experiments are
preserved under their old data directories because embedding plans cannot be
changed in place. This deployment uses the fresh
`data-gemini-embedding-2-768` directory. The one-shot `supermemory-smoke`
service verifies the locked embedding plan, tracks the exact document ID to a
terminal state, separately checks v3 search, v4 document search, and Chinese
hybrid search, checks provenance metadata, and exercises the profile and
conversation endpoints. It writes a sentinel after success so ordinary
redeploys do not add duplicate smoke documents. Do not import sampled
Hindsight or document material until this service exits successfully.
On 2026-09-08, the remote plan was accepted and locked as
`openai / google/gemini-embedding-2 / 1024`; the LiteLLM embedding and
`gemini-3.5-flash-lite` chat endpoints also passed independently. Supermemory
listed the smoke document and reported a completed document in the test
container, but exact searches for its unique marker returned no hit through
either `/v4/search` or `/v3/search` (`supermemory-smoke` exit 44). Treat this
as a self-hosted indexing/retrieval blocker. Do not import sampled material or
enable the Hermes lab profile until a newer server build or upstream fix makes
the same smoke pass.
On 2026-09-08, the previous remote plan was accepted and locked as
`openai / google/gemini-embedding-2 / 1024`; the LiteLLM embedding and chat
endpoints also passed independently. Supermemory listed a completed smoke
document, but both v4 and v3 searches returned no hit. The old smoke mixed
list-wide status checks and did not track the newly created document, so this
native Gemini run uses a new store and a stricter document-specific gate.
## Evaluation guardrails
+6 -11
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@@ -53,20 +53,15 @@ services:
PORT: "6767"
SUPERMEMORY_DATA_DIR: /var/lib/supermemory
SUPERMEMORY_DISABLE_TELEMETRY: "1"
SUPERMEMORY_EMBEDDING_PROVIDER: openai
SUPERMEMORY_EMBEDDING_MODEL: google/gemini-embedding-2
SUPERMEMORY_EMBEDDING_DIMENSIONS: "1024"
SUPERMEMORY_EMBEDDING_BASE_URL: ${OPENAI_BASE_URL:?set OPENAI_BASE_URL in Arcane environment}
SUPERMEMORY_EMBEDDING_PROVIDER: gemini
SUPERMEMORY_EMBEDDING_MODEL: gemini-embedding-2
SUPERMEMORY_EMBEDDING_DIMENSIONS: "768"
SUPERMEMORY_EMBEDDING_RAM_LIMIT: 2gb
SUPERMEMORY_INGEST_CONCURRENCY: "1"
SSL_CERT_FILE: /opt/supermemory/bin/ca-certificates.crt
SSL_CERT_DIR: /etc/ssl/certs
NODE_EXTRA_CA_CERTS: /opt/supermemory/bin/ca-certificates.crt
OPENAI_API_KEY: ${OPENAI_API_KEY:?set OPENAI_API_KEY in Arcane environment}
OPENAI_BASE_URL: ${OPENAI_BASE_URL:?set OPENAI_BASE_URL in Arcane environment}
OPENAI_MODEL: ${OPENAI_MODEL:-gemini-3.5-flash-lite}
OPENAI_FAST_MODEL: ${OPENAI_MODEL:-gemini-3.5-flash-lite}
OPENAI_TEXT_MODEL: ${OPENAI_MODEL:-gemini-3.5-flash-lite}
GEMINI_API_KEY: ${GEMINI_API_KEY:?set GEMINI_API_KEY in Arcane environment}
entrypoint:
- /bin/bash
- -ec
@@ -86,7 +81,7 @@ services:
volumes:
- /mnt/user/appdata/supermemory-poc/bin:/opt/supermemory/bin:ro
- /mnt/user/appdata/supermemory-poc/bin/ca-certificates.crt:/etc/ssl/certs/ca-certificates.crt:ro
- /mnt/user/appdata/supermemory-poc/data-google-gemini-embedding-2-1024:/var/lib/supermemory
- /mnt/user/appdata/supermemory-poc/data-gemini-embedding-2-768:/var/lib/supermemory
networks:
br0:
ipv4_address: ${SUPERMEMORY_IPV4_ADDRESS:?set an unused LAN address in Arcane environment}
@@ -117,7 +112,7 @@ services:
- /opt/supermemory-poc/smoke.sh
volumes:
- ./smoke.sh:/opt/supermemory-poc/smoke.sh:ro
- /mnt/user/appdata/supermemory-poc/data-google-gemini-embedding-2-1024:/var/lib/supermemory
- /mnt/user/appdata/supermemory-poc/data-gemini-embedding-2-768:/var/lib/supermemory
security_opt:
- no-new-privileges:true
cap_drop:
+43 -53
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@@ -2,7 +2,7 @@
set -eu
data_dir=/var/lib/supermemory
sentinel="$data_dir/.smoke-google-gemini-embedding-2-1024.ok"
sentinel="$data_dir/.smoke-gemini-embedding-2-768.ok"
base_url="${SUPERMEMORY_URL:-http://127.0.0.1:6767}"
container_tag="${SUPERMEMORY_CONTAINER_TAG:-hermes_supermemory_lab}"
@@ -13,7 +13,7 @@ fi
api_key=$(cat "$data_dir/api-key")
auth_header="Authorization: Bearer $api_key"
marker="supermemory-poc-google-embedding-2-$(date +%s)"
marker="supermemory-poc-gemini-native-$(date +%s)"
fail() {
code="$1"
@@ -27,35 +27,10 @@ for _ in $(seq 1 30); do
[ -f "$plan" ] && break
sleep 1
done
grep -q 'openai' "$plan" || fail 11 embedding-plan-provider
grep -q 'google/gemini-embedding-2' "$plan" || fail 12 embedding-plan-model
grep -q '1024' "$plan" || fail 13 embedding-plan-dimensions
grep -q 'gemini' "$plan" || fail 11 embedding-plan-provider
grep -q 'gemini-embedding-2' "$plan" || fail 12 embedding-plan-model
grep -q '768' "$plan" || fail 13 embedding-plan-dimensions
if ! curl --fail --silent --show-error --max-time 60 \
-H "$auth_header" \
-H 'Content-Type: application/json' \
--data "{\"containerTags\":[\"$container_tag\"],\"limit\":20}" \
"$base_url/v3/documents/list" >/tmp/documents.json; then
fail 21 documents-list
fi
if grep -q 'supermemory-poc-google-embedding-2' /tmp/documents.json; then
if grep -Eq '"status"[[:space:]]*:[[:space:]]*"failed"' /tmp/documents.json; then
fail 31 document-processing-failed
fi
if ! grep -Eq '"status"[[:space:]]*:[[:space:]]*"done"' /tmp/documents.json; then
if grep -Eq '"status"[[:space:]]*:[[:space:]]*"embedding"' /tmp/documents.json; then
fail 32 document-stuck-embedding
fi
if grep -Eq '"status"[[:space:]]*:[[:space:]]*"chunking"' /tmp/documents.json; then
fail 33 document-stuck-chunking
fi
if grep -Eq '"status"[[:space:]]*:[[:space:]]*"indexing"' /tmp/documents.json; then
fail 34 document-stuck-indexing
fi
fail 35 document-not-done
fi
else
if ! curl --fail --silent --show-error --max-time 60 \
-H "$auth_header" \
-H 'Content-Type: application/json' \
@@ -63,42 +38,57 @@ else
"$base_url/v3/documents" >/tmp/add.json; then
fail 22 document-add
fi
fi
existing_marker=$(grep -o 'supermemory-poc-google-embedding-2-[0-9]*' /tmp/documents.json | head -n 1)
[ -n "$existing_marker" ] || fail 36 document-marker-missing
document_id=$(sed -n 's/.*"id"[[:space:]]*:[[:space:]]*"\([^"]*\)".*/\1/p' /tmp/add.json | head -n 1)
[ -n "$document_id" ] || fail 23 document-id-missing
document_status=
for _ in $(seq 1 120); do
if ! curl --fail --silent --show-error --max-time 60 \
-H "$auth_header" \
"$base_url/v3/documents/$document_id" >/tmp/document.json; then
fail 24 document-get
fi
if grep -Eq '"status"[[:space:]]*:[[:space:]]*"failed"' /tmp/document.json; then
fail 31 document-processing-failed
fi
if grep -Eq '"status"[[:space:]]*:[[:space:]]*"done"' /tmp/document.json; then
document_status=done
break
fi
sleep 2
done
[ "$document_status" = done ] || fail 35 document-not-done
if ! curl --fail --silent --show-error --max-time 15 \
-H "$auth_header" \
-H 'Content-Type: application/json' \
--data "{\"q\":\"$marker\",\"containerTag\":\"$container_tag\"}" \
"$base_url/v3/search" >/tmp/search-v3.json; then
fail 41 search-v3-request
fi
grep -q "$marker" /tmp/search-v3.json || fail 44 search-v3-no-hit
curl --fail --silent --show-error --max-time 15 \
-H "$auth_header" \
-H 'Content-Type: application/json' \
--data "{\"q\":\"$existing_marker\",\"containerTag\":\"$container_tag\",\"searchMode\":\"hybrid\",\"limit\":5}" \
"$base_url/v4/search" >/tmp/search-exact.json || fail 41 search-exact-request
if ! grep -q "$existing_marker" /tmp/search-exact.json; then
curl --fail --silent --show-error --max-time 15 \
-H "$auth_header" \
-H 'Content-Type: application/json' \
--data "{\"q\":\"$existing_marker\",\"containerTag\":\"$container_tag\"}" \
"$base_url/v3/search" >/tmp/search-exact-v3.json || fail 43 search-exact-v3-request
if grep -q "$existing_marker" /tmp/search-exact-v3.json; then
grep -q 'poc-smoke' /tmp/search-exact-v3.json || fail 49 search-v3-metadata-missing
fail 48 search-v3-only
fi
fail 44 search-exact-no-hit
fi
grep -q 'poc-smoke' /tmp/search-exact.json || fail 45 search-exact-metadata-missing
--data "{\"q\":\"$marker\",\"containerTag\":\"$container_tag\",\"searchMode\":\"documents\",\"limit\":5}" \
"$base_url/v4/search" >/tmp/search-documents.json || fail 42 search-documents-request
grep -q "$marker" /tmp/search-documents.json || fail 45 search-documents-no-hit
grep -q 'poc-smoke' /tmp/search-documents.json || fail 46 search-documents-metadata-missing
curl --fail --silent --show-error --max-time 15 \
-H "$auth_header" \
-H 'Content-Type: application/json' \
--data "{\"q\":\"海棠计划下一步是什么?\",\"containerTag\":\"$container_tag\",\"searchMode\":\"hybrid\",\"limit\":5}" \
"$base_url/v4/search" >/tmp/search-semantic.json || fail 42 search-semantic-request
grep -q '核对原始报告' /tmp/search-semantic.json || fail 46 search-semantic-no-hit
grep -q 'poc-smoke' /tmp/search-semantic.json || fail 47 search-semantic-metadata-missing
"$base_url/v4/search" >/tmp/search-hybrid.json || fail 47 search-hybrid-request
grep -q '核对原始报告' /tmp/search-hybrid.json || fail 48 search-hybrid-no-hit
grep -q 'poc-smoke' /tmp/search-hybrid.json || fail 49 search-hybrid-metadata-missing
curl --fail --silent --show-error --max-time 60 \
-H "$auth_header" \
-H 'Content-Type: application/json' \
--data "{\"containerTag\":\"$container_tag\",\"q\":\"海棠计划\"}" \
--data "{\"containerTag\":\"$container_tag\",\"q\":\"$marker\"}" \
"$base_url/v4/profile" >/tmp/profile.json || fail 51 profile-request
grep -q '"profile"' /tmp/profile.json || fail 52 profile-shape
@@ -109,4 +99,4 @@ curl --fail --silent --show-error --max-time 60 \
"$base_url/v4/conversations" >/tmp/conversation.json || fail 61 conversation-ingest
touch "$sentinel"
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"}'
printf '%s\n' '{"embedding_plan":"gemini/gemini-embedding-2/768","llm":"gemini-native-default","v3_search":"ok","v4_documents_search":"ok","chinese_hybrid_search":"ok","metadata_traceability":"ok","profile":"ok","conversation_ingest":"accepted"}'