test Supermemory with native Gemini
This commit is contained in:
Codex
@@ -1,8 +1,6 @@
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# Set only in the unRaid Arcane Project environment. Never commit the real file.
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SUPERMEMORY_IPV4_ADDRESS=
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# Extraction/summarization LLM. OPENAI_BASE_URL may point to an approved
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# OpenAI-compatible endpoint; keep it blank for the OpenAI API.
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OPENAI_API_KEY=
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OPENAI_BASE_URL=
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OPENAI_MODEL=gpt-5.1
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# Native Gemini powers extraction/summarization and remote embeddings.
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# Keep the real key only in this Project's Arcane environment.
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GEMINI_API_KEY=
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@@ -10,10 +10,10 @@ production Hindsight service or change the default Hermes profile.
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cache live under `/mnt/user/appdata/supermemory-poc/data`.
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- A dedicated address on Docker `br0`; port `6767` is not published on the
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unRaid host address.
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- Remote OpenAI-compatible embeddings through HK LiteLLM using
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`google/gemini-embedding-2` at 1024 dimensions.
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- Extraction, summarization, and other intelligent steps use
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`gemini-3.5-flash-lite` through the same LiteLLM endpoint.
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- Native Gemini embeddings using `gemini-embedding-2` at 768 dimensions.
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- Extraction, summarization, and other intelligent steps use Supermemory's
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native Gemini provider default. This cleanly removes the LiteLLM and
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OpenAI-compatible translation layer from the diagnostic path.
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- Ingest concurrency remains 1 so the first POC emphasizes correctness and
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observable cost over throughput.
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- Resource ceiling: 4 CPUs and 8 GiB RAM. Supermemory Local keeps its corpus
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@@ -26,11 +26,10 @@ directory and re-ingest when comparing a different embedding plan.
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1. Confirm the chosen `SUPERMEMORY_IPV4_ADDRESS` is absent from both Arcane's
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`br0` attachments and the LAN neighbor/DHCP tables.
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2. Add `SUPERMEMORY_IPV4_ADDRESS`, `OPENAI_API_KEY`,
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`OPENAI_BASE_URL=https://api.opfo.xyz/v1`, and
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`OPENAI_MODEL=gemini-3.5-flash-lite` to this Project's Arcane environment.
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`OPENAI_API_KEY` is the HK LiteLLM bearer key. Do not put it in Git,
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Compose, activity notes, or chat.
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2. Add `SUPERMEMORY_IPV4_ADDRESS` and `GEMINI_API_KEY` to this Project's
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Arcane environment. Do not put the key in Git, Compose, activity notes, or
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chat. Legacy `OPENAI_*` values may remain stored in Arcane for rollback,
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but this Compose file does not inject them into the container.
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3. Confirm `/mnt/user/appdata` has room for the 298 MiB server binary, the
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multilingual model cache, data, and rollback copy.
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4. Confirm no other build, image pull, backup, or migration is active on the
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@@ -49,7 +48,7 @@ image build is required.
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The server creates its client bearer token at:
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`/mnt/user/appdata/supermemory-poc/data-google-gemini-embedding-2-1024/api-key`
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`/mnt/user/appdata/supermemory-poc/data-gemini-embedding-2-768/api-key`
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Read it through an authorized unRaid/Arcane console without printing it into
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logs. Save it only as `SUPERMEMORY_API_KEY` in the `supermemory-lab` Hermes
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@@ -83,24 +82,23 @@ used by Hermes.
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### Embedding plan and smoke gate
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The earlier local `Xenova/bge-m3` experiment is preserved under the old `data`
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directory because embedding plans cannot be changed in place. This deployment
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uses the fresh `data-google-gemini-embedding-2-1024` directory. The one-shot
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`supermemory-smoke` service verifies the locked embedding plan, performs a
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Chinese hybrid-search round trip, checks provenance metadata, and exercises
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the profile and conversation endpoints. It writes a sentinel after success so
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ordinary redeploys do not add duplicate smoke documents. Do not import sampled
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The earlier local `Xenova/bge-m3` and LiteLLM-backed embedding experiments are
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preserved under their old data directories because embedding plans cannot be
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changed in place. This deployment uses the fresh
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`data-gemini-embedding-2-768` directory. The one-shot `supermemory-smoke`
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service verifies the locked embedding plan, tracks the exact document ID to a
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terminal state, separately checks v3 search, v4 document search, and Chinese
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hybrid search, checks provenance metadata, and exercises the profile and
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conversation endpoints. It writes a sentinel after success so ordinary
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redeploys do not add duplicate smoke documents. Do not import sampled
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Hindsight or document material until this service exits successfully.
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On 2026-09-08, the remote plan was accepted and locked as
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`openai / google/gemini-embedding-2 / 1024`; the LiteLLM embedding and
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`gemini-3.5-flash-lite` chat endpoints also passed independently. Supermemory
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listed the smoke document and reported a completed document in the test
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container, but exact searches for its unique marker returned no hit through
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either `/v4/search` or `/v3/search` (`supermemory-smoke` exit 44). Treat this
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as a self-hosted indexing/retrieval blocker. Do not import sampled material or
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enable the Hermes lab profile until a newer server build or upstream fix makes
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the same smoke pass.
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On 2026-09-08, the previous remote plan was accepted and locked as
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`openai / google/gemini-embedding-2 / 1024`; the LiteLLM embedding and chat
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endpoints also passed independently. Supermemory listed a completed smoke
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document, but both v4 and v3 searches returned no hit. The old smoke mixed
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list-wide status checks and did not track the newly created document, so this
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native Gemini run uses a new store and a stricter document-specific gate.
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## Evaluation guardrails
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@@ -53,20 +53,15 @@ services:
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PORT: "6767"
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SUPERMEMORY_DATA_DIR: /var/lib/supermemory
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SUPERMEMORY_DISABLE_TELEMETRY: "1"
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SUPERMEMORY_EMBEDDING_PROVIDER: openai
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SUPERMEMORY_EMBEDDING_MODEL: google/gemini-embedding-2
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SUPERMEMORY_EMBEDDING_DIMENSIONS: "1024"
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SUPERMEMORY_EMBEDDING_BASE_URL: ${OPENAI_BASE_URL:?set OPENAI_BASE_URL in Arcane environment}
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SUPERMEMORY_EMBEDDING_PROVIDER: gemini
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SUPERMEMORY_EMBEDDING_MODEL: gemini-embedding-2
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SUPERMEMORY_EMBEDDING_DIMENSIONS: "768"
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SUPERMEMORY_EMBEDDING_RAM_LIMIT: 2gb
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SUPERMEMORY_INGEST_CONCURRENCY: "1"
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SSL_CERT_FILE: /opt/supermemory/bin/ca-certificates.crt
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SSL_CERT_DIR: /etc/ssl/certs
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NODE_EXTRA_CA_CERTS: /opt/supermemory/bin/ca-certificates.crt
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OPENAI_API_KEY: ${OPENAI_API_KEY:?set OPENAI_API_KEY in Arcane environment}
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OPENAI_BASE_URL: ${OPENAI_BASE_URL:?set OPENAI_BASE_URL in Arcane environment}
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OPENAI_MODEL: ${OPENAI_MODEL:-gemini-3.5-flash-lite}
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OPENAI_FAST_MODEL: ${OPENAI_MODEL:-gemini-3.5-flash-lite}
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OPENAI_TEXT_MODEL: ${OPENAI_MODEL:-gemini-3.5-flash-lite}
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GEMINI_API_KEY: ${GEMINI_API_KEY:?set GEMINI_API_KEY in Arcane environment}
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entrypoint:
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- /bin/bash
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- -ec
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@@ -86,7 +81,7 @@ services:
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volumes:
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- /mnt/user/appdata/supermemory-poc/bin:/opt/supermemory/bin:ro
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- /mnt/user/appdata/supermemory-poc/bin/ca-certificates.crt:/etc/ssl/certs/ca-certificates.crt:ro
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- /mnt/user/appdata/supermemory-poc/data-google-gemini-embedding-2-1024:/var/lib/supermemory
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- /mnt/user/appdata/supermemory-poc/data-gemini-embedding-2-768:/var/lib/supermemory
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networks:
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br0:
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ipv4_address: ${SUPERMEMORY_IPV4_ADDRESS:?set an unused LAN address in Arcane environment}
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@@ -117,7 +112,7 @@ services:
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- /opt/supermemory-poc/smoke.sh
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volumes:
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- ./smoke.sh:/opt/supermemory-poc/smoke.sh:ro
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- /mnt/user/appdata/supermemory-poc/data-google-gemini-embedding-2-1024:/var/lib/supermemory
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- /mnt/user/appdata/supermemory-poc/data-gemini-embedding-2-768:/var/lib/supermemory
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security_opt:
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- no-new-privileges:true
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cap_drop:
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@@ -2,7 +2,7 @@
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set -eu
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data_dir=/var/lib/supermemory
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sentinel="$data_dir/.smoke-google-gemini-embedding-2-1024.ok"
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sentinel="$data_dir/.smoke-gemini-embedding-2-768.ok"
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base_url="${SUPERMEMORY_URL:-http://127.0.0.1:6767}"
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container_tag="${SUPERMEMORY_CONTAINER_TAG:-hermes_supermemory_lab}"
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@@ -13,7 +13,7 @@ fi
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api_key=$(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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marker="supermemory-poc-gemini-native-$(date +%s)"
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fail() {
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code="$1"
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@@ -27,78 +27,68 @@ 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' "$plan" || fail 11 embedding-plan-provider
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grep -q 'google/gemini-embedding-2' "$plan" || fail 12 embedding-plan-model
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grep -q '1024' "$plan" || fail 13 embedding-plan-dimensions
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grep -q 'gemini' "$plan" || fail 11 embedding-plan-provider
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grep -q 'gemini-embedding-2' "$plan" || fail 12 embedding-plan-model
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grep -q '768' "$plan" || fail 13 embedding-plan-dimensions
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if ! curl --fail --silent --show-error --max-time 60 \
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-H "$auth_header" \
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-H 'Content-Type: application/json' \
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--data "{\"containerTags\":[\"$container_tag\"],\"limit\":20}" \
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"$base_url/v3/documents/list" >/tmp/documents.json; then
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fail 21 documents-list
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fi
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if grep -q 'supermemory-poc-google-embedding-2' /tmp/documents.json; then
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if grep -Eq '"status"[[:space:]]*:[[:space:]]*"failed"' /tmp/documents.json; then
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fail 31 document-processing-failed
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fi
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if ! grep -Eq '"status"[[:space:]]*:[[:space:]]*"done"' /tmp/documents.json; then
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if grep -Eq '"status"[[:space:]]*:[[:space:]]*"embedding"' /tmp/documents.json; then
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fail 32 document-stuck-embedding
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fi
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if grep -Eq '"status"[[:space:]]*:[[:space:]]*"chunking"' /tmp/documents.json; then
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fail 33 document-stuck-chunking
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fi
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if grep -Eq '"status"[[:space:]]*:[[:space:]]*"indexing"' /tmp/documents.json; then
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fail 34 document-stuck-indexing
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fi
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fail 35 document-not-done
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fi
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else
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if ! curl --fail --silent --show-error --max-time 60 \
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-H "$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; then
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fail 22 document-add
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fi
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fi
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existing_marker=$(grep -o 'supermemory-poc-google-embedding-2-[0-9]*' /tmp/documents.json | head -n 1)
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[ -n "$existing_marker" ] || fail 36 document-marker-missing
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document_id=$(sed -n 's/.*"id"[[:space:]]*:[[:space:]]*"\([^"]*\)".*/\1/p' /tmp/add.json | head -n 1)
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[ -n "$document_id" ] || fail 23 document-id-missing
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document_status=
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for _ in $(seq 1 120); do
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if ! curl --fail --silent --show-error --max-time 60 \
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-H "$auth_header" \
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"$base_url/v3/documents/$document_id" >/tmp/document.json; then
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fail 24 document-get
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fi
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if grep -Eq '"status"[[:space:]]*:[[:space:]]*"failed"' /tmp/document.json; then
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fail 31 document-processing-failed
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fi
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if grep -Eq '"status"[[:space:]]*:[[:space:]]*"done"' /tmp/document.json; then
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document_status=done
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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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[ "$document_status" = done ] || fail 35 document-not-done
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if ! curl --fail --silent --show-error --max-time 15 \
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-H "$auth_header" \
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-H 'Content-Type: application/json' \
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--data "{\"q\":\"$marker\",\"containerTag\":\"$container_tag\"}" \
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"$base_url/v3/search" >/tmp/search-v3.json; then
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fail 41 search-v3-request
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fi
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grep -q "$marker" /tmp/search-v3.json || fail 44 search-v3-no-hit
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curl --fail --silent --show-error --max-time 15 \
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-H "$auth_header" \
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-H 'Content-Type: application/json' \
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--data "{\"q\":\"$existing_marker\",\"containerTag\":\"$container_tag\",\"searchMode\":\"hybrid\",\"limit\":5}" \
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"$base_url/v4/search" >/tmp/search-exact.json || fail 41 search-exact-request
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if ! grep -q "$existing_marker" /tmp/search-exact.json; then
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curl --fail --silent --show-error --max-time 15 \
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-H "$auth_header" \
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-H 'Content-Type: application/json' \
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--data "{\"q\":\"$existing_marker\",\"containerTag\":\"$container_tag\"}" \
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"$base_url/v3/search" >/tmp/search-exact-v3.json || fail 43 search-exact-v3-request
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if grep -q "$existing_marker" /tmp/search-exact-v3.json; then
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grep -q 'poc-smoke' /tmp/search-exact-v3.json || fail 49 search-v3-metadata-missing
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fail 48 search-v3-only
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fi
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fail 44 search-exact-no-hit
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fi
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grep -q 'poc-smoke' /tmp/search-exact.json || fail 45 search-exact-metadata-missing
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--data "{\"q\":\"$marker\",\"containerTag\":\"$container_tag\",\"searchMode\":\"documents\",\"limit\":5}" \
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"$base_url/v4/search" >/tmp/search-documents.json || fail 42 search-documents-request
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grep -q "$marker" /tmp/search-documents.json || fail 45 search-documents-no-hit
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grep -q 'poc-smoke' /tmp/search-documents.json || fail 46 search-documents-metadata-missing
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curl --fail --silent --show-error --max-time 15 \
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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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"$base_url/v4/search" >/tmp/search-semantic.json || fail 42 search-semantic-request
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grep -q '核对原始报告' /tmp/search-semantic.json || fail 46 search-semantic-no-hit
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grep -q 'poc-smoke' /tmp/search-semantic.json || fail 47 search-semantic-metadata-missing
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"$base_url/v4/search" >/tmp/search-hybrid.json || fail 47 search-hybrid-request
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grep -q '核对原始报告' /tmp/search-hybrid.json || fail 48 search-hybrid-no-hit
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grep -q 'poc-smoke' /tmp/search-hybrid.json || fail 49 search-hybrid-metadata-missing
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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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--data "{\"containerTag\":\"$container_tag\",\"q\":\"$marker\"}" \
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"$base_url/v4/profile" >/tmp/profile.json || fail 51 profile-request
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grep -q '"profile"' /tmp/profile.json || fail 52 profile-shape
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@@ -109,4 +99,4 @@ curl --fail --silent --show-error --max-time 60 \
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"$base_url/v4/conversations" >/tmp/conversation.json || fail 61 conversation-ingest
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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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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"}'
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Reference in New Issue
Block a user