fix(scripts): ingest-memory.sh never actually computed embeddings

Two bugs, either one fatal:
- litellm-pgvector's embeddings endpoints take a precomputed vector per
  chunk (they don't call the embedding model themselves) — the script
  posted {content, metadata} with no embedding field, guaranteed 422.
- The batch endpoint expects {"embeddings": [...]}; the script posted a
  bare JSON array as the body.

Now embeds each file's chunks via LiteLLM's /v1/embeddings first (using
LITELLM_PGVECTOR_EMBEDDING_KEY, already minted for exactly this) before
batch-inserting. Also made both source files optional — a missing file is
skipped, not a hard failure, since neither exists in this checkout yet.

scripts/ingest-memory.sh

@@ -1,7 +1,8 @@
 #!/usr/bin/env bash
 # Loads data/memory.md and data/claude-legacy-memory.md into the LiteLLM
 # knowledgebase (the "memory-and-notes" vector store, see litellm-config.yaml)
-# via litellm-pgvector's batch-embeddings endpoint.
+# via litellm-pgvector's batch-embeddings endpoint. Both files are optional —
+# a file that doesn't exist yet is skipped, not an error.
 #
 # ponytail: one chunk per non-empty, non-heading line — both source files are
 # already one fact/paragraph per line (no hard-wrapping), so this needs no
@@ -15,34 +16,68 @@ cd "$(dirname "$0")/.."
 [ -f .env ] && set -a && . ./.env && set +a
 
 : "${LITELLM_PGVECTOR_API_KEY:?Set LITELLM_PGVECTOR_API_KEY in .env first}"
+: "${LITELLM_PGVECTOR_EMBEDDING_KEY:?Set LITELLM_PGVECTOR_EMBEDDING_KEY in .env first}"
 LITELLM_PGVECTOR_URL="${LITELLM_PGVECTOR_URL:-http://localhost:8000}"
+LITELLM_URL="${LITELLM_URL:-http://localhost:${LITELLM_PORT:-4000}}"
 VECTOR_STORE_ID="memory-and-notes"
 
 # Must match litellm-config.yaml's vector_store_registry entry — the
 # registry just points at a store the backend must already know about.
 # Ignores failure if it already exists (no documented idempotency check).
+# id is a local addition to litellm-pgvector's create endpoint (see
+# vendor/litellm-pgvector/main.py) — without it, create always minted a
+# random UUID and this script's writes could never land on VECTOR_STORE_ID.
 curl -sf -X POST "${LITELLM_PGVECTOR_URL}/v1/vector_stores" \
   -H "Authorization: Bearer ${LITELLM_PGVECTOR_API_KEY}" \
   -H "Content-Type: application/json" \
-  -d "{\"name\": \"${VECTOR_STORE_ID}\"}" > /dev/null 2>&1 || true
+  -d "{\"id\": \"${VECTOR_STORE_ID}\", \"name\": \"${VECTOR_STORE_ID}\"}" > /dev/null 2>&1 || true
 
 ingest_file() {
-  local file="$1" section=""
+  local file="$1"
-  local batch="[]"
+  if [ ! -f "$file" ]; then
+    echo "Skipping $file (not present)."
+    return
+  fi
+
+  local section="" contents="[]" metas="[]"
   while IFS= read -r line; do
     case "$line" in
       "#"*) section="${line#\# }"; section="${section#\#\# }"; continue ;;
       ""|"---") continue ;;
     esac
-    batch=$(jq --arg content "$line" --arg source "$file" --arg section "$section" \
+    contents=$(jq --arg c "$line" '. += [$c]' <<<"$contents")
-      '. += [{"content": $content, "metadata": {"source": $source, "section": $section}}]' <<<"$batch")
+    metas=$(jq --arg content "$line" --arg source "$file" --arg section "$section" \
+      '. += [{"content": $content, "metadata": {"source": $source, "section": $section}}]' <<<"$metas")
   done < "$file"
 
-  echo "Ingesting $(jq 'length' <<<"$batch") chunks from $file..."
+  local n
+  n=$(jq 'length' <<<"$contents")
+  if [ "$n" -eq 0 ]; then
+    echo "Nothing to ingest from $file (no fact/paragraph lines)."
+    return
+  fi
+
+  # litellm-pgvector's embeddings endpoints take a precomputed vector per
+  # chunk — they don't call the embedding model themselves (only query-time
+  # search does, via its own EMBEDDING__* config). So this has to embed
+  # client-side first, via the same proxy every other workload uses.
+  echo "Embedding $n chunks from $file via LiteLLM..."
+  local embeddings
+  embeddings=$(curl -sf "${LITELLM_URL}/v1/embeddings" \
+    -H "Authorization: Bearer ${LITELLM_PGVECTOR_EMBEDDING_KEY}" \
+    -H "Content-Type: application/json" \
+    -d "$(jq -n --argjson input "$contents" '{"model": "local-embedding", "input": $input}')" \
+    | jq '[.data[].embedding]')
+
+  local batch
+  batch=$(jq -n --argjson metas "$metas" --argjson embeds "$embeddings" \
+    '[range(0; ($metas | length)) as $i | $metas[$i] + {"embedding": $embeds[$i]}]')
+
+  echo "Ingesting $n chunks from $file..."
   curl -sf -X POST "${LITELLM_PGVECTOR_URL}/v1/vector_stores/${VECTOR_STORE_ID}/embeddings/batch" \
     -H "Authorization: Bearer ${LITELLM_PGVECTOR_API_KEY}" \
     -H "Content-Type: application/json" \
-    -d "$batch" > /dev/null
+    -d "$(jq -n --argjson embeddings "$batch" '{"embeddings": $embeddings}')" > /dev/null
 }
 
 ingest_file data/memory.md