feat: run qdrant and ollama inside thothii

This commit is contained in:
2026-08-08 18:38:42 +02:00
parent ca1511df60
commit 320d9ea74e
11 changed files with 502 additions and 28 deletions
@@ -0,0 +1,54 @@
# Task 7 report — mandatory Qdrant and Ollama Compose services
Date: 2026-08-08
Status: completed
Summary:
- Added mandatory private `qdrant`, `embedding`, and `embedding-model-init` services to the base Compose stack.
- Pinned Qdrant `v1.18.2` and Ollama `0.32.0` by immutable multi-arch digest.
- Persisted Qdrant storage in `qdrant-data` and Ollama model cache in `embedding-models`.
- Wired `core` to fixed internal semantic endpoints:
- `THT_INTERNAL_QDRANT_URL=http://qdrant:6333`
- `THT_INTERNAL_EMBEDDING_URL=http://embedding:11434`
- `THT_INTERNAL_EMBEDDING_MODEL=qwen3-embedding:0.6b`
- `THT_INTERNAL_EMBEDDING_DIMENSIONS=1024`
- Removed external vector / embedding endpoint requirements from the local and server env examples.
- Added an idempotent Ollama model bootstrap script that:
- waits up to a bounded deadline for `/api/tags`
- skips `ollama pull` when the model is already cached
- pulls `qwen3-embedding:0.6b` only when needed
- verifies the model appears in `/api/tags` after pull
- Added optional GPU override file `deploy/compose.embedding-gpu.yaml`; base Compose remains CPU-only.
- Updated `scripts/run-stack.sh` so the GPU override is included only when `THOTH_ENABLE_EMBEDDING_GPU=1`.
Verification:
- RED confirmed before implementation:
- `./scripts/test-default-compose.sh` failed on missing required services.
- `./scripts/test-unified-compose.sh` failed on missing required services.
- `./scripts/test-internal-semantic-compose.sh` failed because the GPU override file did not exist.
- GREEN after implementation:
- `./scripts/test-default-compose.sh`
- `./scripts/test-unified-compose.sh`
- `./scripts/test-internal-semantic-compose.sh`
- `git diff --check`
- Additional shell verification:
- `scripts/run-stack.sh --wait` includes only base + local Compose files by default.
- `THOTH_ENABLE_EMBEDDING_GPU=1 scripts/run-stack.sh --wait` adds `deploy/compose.embedding-gpu.yaml`.
Resolved image digests:
- `qdrant/qdrant:v1.18.2@sha256:75eab8c4ba42096724fdcfde8b4de0b5713d529dde32f285a1f86fdcb2c9e50c`
- `ollama/ollama:0.32.0@sha256:57f573b47f1f71ebb445789f279fe3e596a8beab182f7cf486db9205bad87c5a`
Self-review:
- The first bootstrap-script draft depended on tools not guaranteed inside the Ollama image. This was corrected after image inspection; the final script uses only confirmed image tools (`bash`, `ollama`, `grep`) plus raw HTTP over `/dev/tcp`.
- The server overlay intentionally replaces most named core volumes with bind mounts, so the unified contract was tightened to require named semantic-cache volumes there while preserving the local/base named-volume checks.
Concerns:
- The model bootstrap waits for Ollama readiness and verifies cache state, but the first real cold-start will still take time to download `qwen3-embedding:0.6b`.
- The GPU override requests generic Docker GPU capability only; actual GPU availability remains host/runtime dependent and intentionally stays opt-in.
+57 -3
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@@ -24,10 +24,11 @@ services:
THT_SECRETS_FILE: /run/secrets/thothii.secrets
THT_DB_NAME: ${THT_DB_NAME:-}
THT_DWH_REST_URL: ${THT_DWH_REST_URL:-}
THT_VEC_REST_URL: ${THT_VEC_REST_URL:-}
THT_VEC_WRITE_REST_URL: ${THT_VEC_WRITE_REST_URL:-}
THT_OLLAMA_URL: ${THT_OLLAMA_URL:-}
THT_LLM_URL: ${THT_LLM_URL:-}
THT_INTERNAL_QDRANT_URL: http://qdrant:6333
THT_INTERNAL_EMBEDDING_URL: http://embedding:11434
THT_INTERNAL_EMBEDDING_MODEL: qwen3-embedding:0.6b
THT_INTERNAL_EMBEDDING_DIMENSIONS: "1024"
MAX_PI_PROCESSES: ${MAX_PI_PROCESSES:-4}
volumes:
- settings:/data/settings
@@ -46,6 +47,11 @@ services:
timeout: 3s
retries: 5
start_period: 30s
depends_on:
qdrant:
condition: service_healthy
embedding-model-init:
condition: service_completed_successfully
networks:
- thothii
@@ -69,6 +75,52 @@ services:
networks:
- thothii
qdrant:
image: qdrant/qdrant:v1.18.2@sha256:75eab8c4ba42096724fdcfde8b4de0b5713d529dde32f285a1f86fdcb2c9e50c
expose:
- "6333"
volumes:
- qdrant-data:/qdrant/storage
healthcheck:
test:
- CMD-SHELL
- >
/usr/bin/bash -lc "exec 3<>/dev/tcp/127.0.0.1/6333 &&
printf 'GET /healthz HTTP/1.1\r\nHost: 127.0.0.1\r\nConnection: close\r\n\r\n' >&3 &&
grep -q '200 OK' <&3"
interval: 15s
timeout: 3s
retries: 10
start_period: 10s
networks:
- thothii
embedding:
image: ollama/ollama:0.32.0@sha256:57f573b47f1f71ebb445789f279fe3e596a8beab182f7cf486db9205bad87c5a
command: ["serve"]
expose:
- "11434"
volumes:
- embedding-models:/root/.ollama
networks:
- thothii
embedding-model-init:
image: ollama/ollama:0.32.0@sha256:57f573b47f1f71ebb445789f279fe3e596a8beab182f7cf486db9205bad87c5a
entrypoint: ["/usr/bin/bash", "/opt/thoth/embedding-model-init.sh"]
environment:
OLLAMA_BASE_URL: http://embedding:11434
OLLAMA_MODEL: qwen3-embedding:0.6b
OLLAMA_WAIT_TIMEOUT_SEC: "180"
volumes:
- embedding-models:/root/.ollama
- ./docker/embedding-model-init.sh:/opt/thoth/embedding-model-init.sh:ro
depends_on:
embedding:
condition: service_started
networks:
- thothii
networks:
thothii:
@@ -77,6 +129,8 @@ volumes:
pi-state:
workspace-registry:
sessions:
qdrant-data:
embedding-models:
secrets:
thothii_secrets:
+7
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@@ -0,0 +1,7 @@
services:
embedding:
deploy:
resources:
reservations:
devices:
- capabilities: ["gpu"]
+3 -3
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@@ -13,7 +13,7 @@ THT_WORKSPACE_GIT_AUTHOR_EMAIL=thoth-workspace-registry@example.invalid
THT_DB_NAME=warehouse
THT_DWH_REST_URL=https://dwh.example.invalid
THT_VEC_REST_URL=https://vector.example.invalid
THT_VEC_WRITE_REST_URL=https://vector-write.example.invalid
THT_OLLAMA_URL=https://embeddings.example.invalid
THT_LLM_URL=https://llm.example.invalid
# Optional explicit GPU override for Linux hosts that expose a Docker-compatible GPU device.
# THOTH_ENABLE_EMBEDDING_GPU=1
+3 -3
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@@ -18,11 +18,11 @@ THT_WORKSPACE_GIT_AUTHOR_EMAIL=thoth-workspace-registry@example.invalid
THT_DB_NAME=warehouse
THT_DWH_REST_URL=https://dwh.example.invalid
THT_VEC_REST_URL=https://vector.example.invalid
THT_VEC_WRITE_REST_URL=https://vector-write.example.invalid
THT_OLLAMA_URL=https://embeddings.example.invalid
THT_LLM_URL=https://llm.example.invalid
# Optional explicit GPU override for Linux hosts that expose a Docker-compatible GPU device.
# THOTH_ENABLE_EMBEDDING_GPU=1
# Public server session storage. Values are endpoints, roles, or protected source-file paths.
THT_SESSION_DB_HOST=sessions-db.example.invalid
THT_SESSION_DB_PORT=5432
+2 -2
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@@ -91,10 +91,10 @@ ENV PATH="/opt/venv/bin:/usr/local/bin:$PATH" \
HOME=/home/thoth
COPY scripts/verify-line-endings.sh /usr/local/bin/verify-line-endings
COPY docker/core-entrypoint.sh docker/session-migrate.sh docker/ensure-pi-trust.mjs /app/docker/
COPY docker/core-entrypoint.sh docker/session-migrate.sh docker/ensure-pi-trust.mjs docker/embedding-model-init.sh /app/docker/
COPY docker/smoke/core-smoke.sh /app/docker/smoke/core-smoke.sh
RUN /usr/local/bin/verify-line-endings /app/docker \
&& chmod +x /app/docker/core-entrypoint.sh /app/docker/session-migrate.sh /app/docker/smoke/core-smoke.sh
&& chmod +x /app/docker/core-entrypoint.sh /app/docker/session-migrate.sh /app/docker/embedding-model-init.sh /app/docker/smoke/core-smoke.sh
WORKDIR /app/backend
USER thoth
+81
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@@ -0,0 +1,81 @@
#!/usr/bin/env bash
set -euo pipefail
ollama_base_url=${OLLAMA_BASE_URL:-http://embedding:11434}
ollama_model=${OLLAMA_MODEL:-qwen3-embedding:0.6b}
wait_timeout_sec=${OLLAMA_WAIT_TIMEOUT_SEC:-180}
case "$wait_timeout_sec" in
''|*[!0-9]*)
echo "OLLAMA_WAIT_TIMEOUT_SEC must be an integer number of seconds" >&2
exit 1
;;
esac
case "$ollama_base_url" in
http://*)
host_and_path=${ollama_base_url#http://}
;;
*)
echo "OLLAMA_BASE_URL must use http://" >&2
exit 1
;;
esac
host_port=${host_and_path%%/*}
ollama_host=${host_port%%:*}
ollama_port=${host_port##*:}
if [[ "$host_port" == "$ollama_host" ]]; then
ollama_port=80
fi
deadline=$((SECONDS + wait_timeout_sec))
export OLLAMA_HOST="$ollama_base_url"
fetch_tags() {
local response body
response=$(
exec 3<>"/dev/tcp/$ollama_host/$ollama_port"
printf 'GET /api/tags HTTP/1.1\r\nHost: %s\r\nConnection: close\r\n\r\n' "$ollama_host" >&3
cat <&3
) || return 1
[[ "$response" == *$' 200 '* || "$response" == HTTP/1.1$' 200'* || "$response" == HTTP/1.0$' 200'* ]] || return 1
body=${response#*$'\r\n\r\n'}
if [[ "$body" == "$response" ]]; then
body=${response#*$'\n\n'}
fi
printf '%s' "$body"
}
model_present() {
local compact_json
compact_json=$(printf '%s' "$1" | tr -d '[:space:]')
grep -Fq "\"name\":\"$ollama_model\"" <<<"$compact_json"
}
wait_for_tags() {
local tags_json
while (( SECONDS <= deadline )); do
if tags_json=$(fetch_tags 2>/dev/null); then
printf '%s' "$tags_json"
return 0
fi
sleep 1
done
echo "timed out waiting for Ollama tags at $ollama_base_url/api/tags" >&2
return 1
}
tags_json=$(wait_for_tags)
if model_present "$tags_json"; then
echo "embedding model already cached: $ollama_model"
exit 0
fi
ollama pull "$ollama_model"
tags_json=$(fetch_tags)
model_present "$tags_json" || {
echo "embedding model missing after pull: $ollama_model" >&2
exit 1
}
echo "embedding model ready: $ollama_model"
+8 -3
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@@ -1,8 +1,8 @@
#!/usr/bin/env bash
# run-stack.sh — avvia lo stack Compose locale di ThothII in primo piano.
#
# Il core include Pi; DWH, vector DB, embedding e LLM sono endpoint esterni configurati
# in deploy/env/local.env. Non richiede un eseguibile Pi sull'host.
# Il core include Pi; DWH e LLM restano endpoint esterni configurati in deploy/env/local.env.
# Qdrant e Ollama embedding sono servizi Compose privati. Non richiede un eseguibile Pi sull'host.
#
# Preparazione: cp deploy/env/local.env.example deploy/env/local.env e compilare i valori.
# Uso: ./scripts/run-stack.sh [argomenti aggiuntivi per docker compose up]
@@ -16,5 +16,10 @@ LOCAL_ENV_FILE="${THT_LOCAL_ENV_FILE:-$ROOT/deploy/env/local.env}"
exit 1
}
compose_files=(-f "$ROOT/compose.yaml" -f "$ROOT/deploy/compose.local.yaml")
if [[ "${THOTH_ENABLE_EMBEDDING_GPU:-0}" == "1" ]]; then
compose_files+=(-f "$ROOT/deploy/compose.embedding-gpu.yaml")
fi
exec docker compose --env-file "$LOCAL_ENV_FILE" \
-f "$ROOT/compose.yaml" -f "$ROOT/deploy/compose.local.yaml" up --build "$@"
"${compose_files[@]}" up --build "$@"
+64 -10
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@@ -11,16 +11,70 @@ rendered=$(mktemp)
trap 'rm -f "$rendered"' EXIT HUP INT TERM
docker compose --env-file deploy/env/local.env.example \
-f compose.yaml -f deploy/compose.local.yaml config >"$rendered"
-f compose.yaml -f deploy/compose.local.yaml config --format json >"$rendered"
grep -q '^ core:' "$rendered"
grep -q '^ frontend:' "$rendered"
grep -q 'host_ip: 127.0.0.1' "$rendered"
grep -q 'AUTH_MODE: none' "$rendered"
grep -q 'THT_WORKSPACE_INSTALLATION_ID: local' "$rendered"
if grep -Eqi 'omics_portal|chirone|localllm_default|/home/chirone' "$rendered"; then
echo "default Compose contains application-specific coupling" >&2
exit 1
fi
node - "$rendered" <<'NODE'
const fs = require("fs");
const config = JSON.parse(fs.readFileSync(process.argv[2], "utf8"));
const services = Object.keys(config.services).sort();
if (services.join(",") !== "core,embedding,embedding-model-init,frontend,qdrant") {
throw new Error(`unexpected service set: ${services.join(",")}`);
}
if (/omics_portal|chirone|localllm_default|\/home\/chirone/i.test(JSON.stringify(config))) {
throw new Error("default Compose contains application-specific coupling");
}
for (const volume of ["settings", "pi-state", "workspace-registry", "sessions", "qdrant-data", "embedding-models"]) {
if (!config.volumes || !config.volumes[volume]) throw new Error(`missing required volume: ${volume}`);
}
const core = config.services.core;
const frontend = config.services.frontend;
const qdrant = config.services.qdrant;
const embedding = config.services.embedding;
const modelInit = config.services["embedding-model-init"];
if (!frontend.ports?.some((port) => port.host_ip === "127.0.0.1")) {
throw new Error("local frontend must publish a loopback port");
}
for (const service of [qdrant, embedding, modelInit]) {
if ((service.ports || []).length !== 0) throw new Error("private semantic services must not publish host ports");
}
if ((qdrant.expose || []).join(",") !== "6333") throw new Error("qdrant must expose only 6333");
if ((embedding.expose || []).join(",") !== "11434") throw new Error("embedding must expose only 11434");
if (qdrant.image !== "qdrant/qdrant:v1.18.2@sha256:75eab8c4ba42096724fdcfde8b4de0b5713d529dde32f285a1f86fdcb2c9e50c") {
throw new Error("qdrant image must be pinned by version and digest");
}
if (embedding.image !== "ollama/ollama:0.32.0@sha256:57f573b47f1f71ebb445789f279fe3e596a8beab182f7cf486db9205bad87c5a") {
throw new Error("embedding image must be pinned by version and digest");
}
if (modelInit.image !== "ollama/ollama:0.32.0@sha256:57f573b47f1f71ebb445789f279fe3e596a8beab182f7cf486db9205bad87c5a") {
throw new Error("embedding-model-init image must be pinned by version and digest");
}
const env = core.environment || {};
for (const [key, value] of Object.entries({
AUTH_MODE: "none",
THT_WORKSPACE_INSTALLATION_ID: "local",
THT_INTERNAL_QDRANT_URL: "http://qdrant:6333",
THT_INTERNAL_EMBEDDING_URL: "http://embedding:11434",
THT_INTERNAL_EMBEDDING_MODEL: "qwen3-embedding:0.6b",
THT_INTERNAL_EMBEDDING_DIMENSIONS: "1024",
})) {
if (env[key] !== value) throw new Error(`unexpected core ${key}: ${env[key]}`);
}
for (const forbidden of ["THT_VEC_REST_URL", "THT_VEC_WRITE_REST_URL", "THT_OLLAMA_URL"]) {
if (Object.hasOwn(env, forbidden) && env[forbidden] !== "") {
throw new Error(`core must not require external semantic binding ${forbidden}`);
}
}
const depends = core.depends_on || {};
if (depends.qdrant?.condition !== "service_healthy") {
throw new Error("core must wait for qdrant health");
}
if (depends["embedding-model-init"]?.condition !== "service_completed_successfully") {
throw new Error("core must wait for embedding-model-init success");
}
if (JSON.stringify(embedding).includes('"devices"')) {
throw new Error("base embedding service must stay CPU-only");
}
NODE
echo "default Compose contract passed."
+148
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@@ -0,0 +1,148 @@
#!/usr/bin/env bash
set -euo pipefail
cd "$(dirname "$0")/.."
tmp=$(mktemp -d)
trap 'rm -rf "$tmp"' EXIT HUP INT TERM
docker compose --env-file deploy/env/local.env.example \
-f compose.yaml -f deploy/compose.local.yaml -f deploy/compose.embedding-gpu.yaml \
config --format json >"$tmp/compose-gpu.json"
node - "$tmp/compose-gpu.json" <<'NODE'
const fs = require("fs");
const config = JSON.parse(fs.readFileSync(process.argv[2], "utf8"));
const devices = config.services.embedding?.deploy?.resources?.reservations?.devices;
if (!Array.isArray(devices) || devices.length !== 1) {
throw new Error("GPU override must add one embedding device reservation");
}
const [device] = devices;
if (JSON.stringify(device.capabilities) !== JSON.stringify(["gpu"])) {
throw new Error("GPU override must request gpu capability only");
}
NODE
mock_bin="$tmp/mock-bin"
mkdir -p "$mock_bin"
cat >"$mock_bin/ollama" <<'EOF'
#!/usr/bin/env bash
set -euo pipefail
state_dir=${MOCK_STATE_DIR:?}
printf '%s\n' "$*" >>"$state_dir/ollama-calls"
if [[ "$1" != "pull" ]]; then
echo "unexpected ollama command: $*" >&2
exit 1
fi
cat >"$state_dir/tags.json" <<JSON
{"models":[{"name":"${2}"}]}
JSON
EOF
chmod +x "$mock_bin/ollama"
cat >"$tmp/mock-tags-server.py" <<'PY'
import http.server
import os
from pathlib import Path
state_dir = Path(os.environ["MOCK_STATE_DIR"])
port_file = Path(os.environ["MOCK_PORT_FILE"])
class Handler(http.server.BaseHTTPRequestHandler):
def do_GET(self):
if self.path != "/api/tags":
self.send_response(404)
self.end_headers()
return
count_file = state_dir / "curl-count"
count = int(count_file.read_text() or "0") if count_file.exists() else 0
count += 1
count_file.write_text(str(count))
fail_until = int((state_dir / "fail-until").read_text()) if (state_dir / "fail-until").exists() else 0
if count <= fail_until:
self.send_response(503)
self.end_headers()
self.wfile.write(b'{"models":[]}')
return
payload = (state_dir / "tags.json").read_bytes()
self.send_response(200)
self.send_header("Content-Type", "application/json")
self.send_header("Content-Length", str(len(payload)))
self.end_headers()
self.wfile.write(payload)
def log_message(self, format, *args):
return
server = http.server.ThreadingHTTPServer(("127.0.0.1", 0), Handler)
port_file.write_text(str(server.server_address[1]))
server.serve_forever()
PY
start_server() {
local state_dir=$1
local port_file="$state_dir/port"
MOCK_STATE_DIR="$state_dir" MOCK_PORT_FILE="$port_file" \
python3 "$tmp/mock-tags-server.py" >/dev/null 2>&1 &
local server_pid=$!
for _ in $(seq 1 50); do
[[ -f "$port_file" ]] && break
sleep 0.1
done
[[ -f "$port_file" ]] || {
echo "mock tags server did not start" >&2
kill "$server_pid" >/dev/null 2>&1 || true
exit 1
}
printf '%s %s\n' "$server_pid" "$(cat "$port_file")"
}
run_cached() {
local state_dir="$tmp/cached"
mkdir -p "$state_dir"
cat >"$state_dir/tags.json" <<'JSON'
{"models":[{"name":"qwen3-embedding:0.6b"}]}
JSON
read -r server_pid port < <(start_server "$state_dir")
PATH="$mock_bin:$PATH" \
MOCK_STATE_DIR="$state_dir" \
OLLAMA_BASE_URL="http://127.0.0.1:$port" \
OLLAMA_MODEL="qwen3-embedding:0.6b" \
OLLAMA_WAIT_TIMEOUT_SEC=2 \
./docker/embedding-model-init.sh
kill "$server_pid" >/dev/null 2>&1 || true
wait "$server_pid" 2>/dev/null || true
if [[ -e "$state_dir/ollama-calls" ]]; then
echo "cached bootstrap must not call ollama pull" >&2
exit 1
fi
}
run_pull() {
local state_dir="$tmp/pull"
mkdir -p "$state_dir"
cat >"$state_dir/tags.json" <<'JSON'
{"models":[]}
JSON
printf '2' >"$state_dir/fail-until"
read -r server_pid port < <(start_server "$state_dir")
PATH="$mock_bin:$PATH" \
MOCK_STATE_DIR="$state_dir" \
OLLAMA_BASE_URL="http://127.0.0.1:$port" \
OLLAMA_MODEL="qwen3-embedding:0.6b" \
OLLAMA_WAIT_TIMEOUT_SEC=5 \
./docker/embedding-model-init.sh
kill "$server_pid" >/dev/null 2>&1 || true
wait "$server_pid" 2>/dev/null || true
grep -qx 'pull qwen3-embedding:0.6b' "$state_dir/ollama-calls"
}
run_cached
run_pull
echo "internal semantic Compose/script contracts passed."
+75 -4
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@@ -25,17 +25,65 @@ const fs = require("fs");
const [configPath, profile] = process.argv.slice(2);
const config = JSON.parse(fs.readFileSync(configPath, "utf8"));
const services = Object.keys(config.services).sort();
if (services.join(",") !== "core,frontend") throw new Error("mandatory stack must be core,frontend");
if (services.join(",") !== "core,embedding,embedding-model-init,frontend,qdrant") {
throw new Error("mandatory stack must include core, frontend, qdrant, embedding, and embedding-model-init");
}
if (/omics_portal|chirone|localllm_default|\/home\/chirone/i.test(JSON.stringify(config))) {
throw new Error("forbidden application coupling");
}
if (!config.networks || !config.networks.thothii) throw new Error("base stack must define the thothii network");
if (!Object.hasOwn(config.services.core.environment || {}, "THT_LLM_URL")) {
for (const volume of ["qdrant-data", "embedding-models"]) {
if (!config.volumes || !config.volumes[volume]) throw new Error(`missing required volume: ${volume}`);
}
if (profile === "local") {
for (const volume of ["settings", "pi-state", "workspace-registry", "sessions"]) {
if (!config.volumes || !config.volumes[volume]) throw new Error(`missing local required volume: ${volume}`);
}
}
const coreEnv = config.services.core.environment || {};
if (!Object.hasOwn(coreEnv, "THT_LLM_URL")) {
throw new Error("core must expose a generic THT_LLM_URL endpoint contract");
}
for (const [key, value] of Object.entries({
THT_INTERNAL_QDRANT_URL: "http://qdrant:6333",
THT_INTERNAL_EMBEDDING_URL: "http://embedding:11434",
THT_INTERNAL_EMBEDDING_MODEL: "qwen3-embedding:0.6b",
THT_INTERNAL_EMBEDDING_DIMENSIONS: "1024",
})) {
if (coreEnv[key] !== value) throw new Error(`unexpected core ${key}: ${coreEnv[key]}`);
}
for (const forbidden of ["THT_VEC_REST_URL", "THT_VEC_WRITE_REST_URL", "THT_OLLAMA_URL"]) {
if (Object.hasOwn(coreEnv, forbidden) && coreEnv[forbidden] !== "") {
throw new Error(`core must not require external semantic binding ${forbidden}`);
}
}
if (/docker\.sock|\/var\/run\/docker|docker[-_]?daemon/i.test(JSON.stringify(config.services))) {
throw new Error("Compose must not mount the Docker socket or daemon");
}
if (config.services.qdrant.image !== "qdrant/qdrant:v1.18.2@sha256:75eab8c4ba42096724fdcfde8b4de0b5713d529dde32f285a1f86fdcb2c9e50c") {
throw new Error("qdrant image must be pinned by version and digest");
}
for (const serviceName of ["embedding", "embedding-model-init"]) {
if (config.services[serviceName].image !== "ollama/ollama:0.32.0@sha256:57f573b47f1f71ebb445789f279fe3e596a8beab182f7cf486db9205bad87c5a") {
throw new Error(`${serviceName} image must be pinned by version and digest`);
}
}
for (const serviceName of ["qdrant", "embedding", "embedding-model-init"]) {
if ((config.services[serviceName].ports || []).length !== 0) {
throw new Error(`${serviceName} must not publish a host port`);
}
}
if ((config.services.qdrant.expose || []).join(",") !== "6333") throw new Error("qdrant must expose only 6333");
if ((config.services.embedding.expose || []).join(",") !== "11434") throw new Error("embedding must expose only 11434");
if (config.services.core.depends_on?.qdrant?.condition !== "service_healthy") {
throw new Error("core must wait for qdrant health");
}
if (config.services.core.depends_on?.["embedding-model-init"]?.condition !== "service_completed_successfully") {
throw new Error("core must wait for embedding-model-init success");
}
if (JSON.stringify(config.services.embedding).includes('"devices"')) {
throw new Error("base embedding service must stay CPU-only");
}
const piAuthMounts = (config.services.core.volumes || []).filter(
(mount) => mount.target === "/home/thoth/.pi/agent/auth.json",
);
@@ -108,17 +156,40 @@ const fs = require("fs");
const config = JSON.parse(fs.readFileSync(process.argv[2], "utf8"));
const services = Object.keys(config.services).sort();
if (services.join(",") !== "core,frontend") throw new Error("mandatory stack must be core,frontend");
if (services.join(",") !== "core,embedding,embedding-model-init,frontend,qdrant") {
throw new Error("mandatory stack must include core, frontend, qdrant, embedding, and embedding-model-init");
}
if (/omics_portal|chirone|localllm_default|\/home\/chirone/i.test(JSON.stringify(config))) {
throw new Error("forbidden application coupling");
}
if (!config.networks || !config.networks.thothii) throw new Error("base stack must define the thothii network");
for (const volume of ["settings", "pi-state", "workspace-registry", "sessions"]) {
for (const volume of ["settings", "pi-state", "workspace-registry", "sessions", "qdrant-data", "embedding-models"]) {
if (!config.volumes || !config.volumes[volume]) throw new Error(`missing required volume: ${volume}`);
}
if (!Object.hasOwn(config.services.core.environment || {}, "THT_LLM_URL")) {
throw new Error("core must expose a generic THT_LLM_URL endpoint contract");
}
for (const [key, value] of Object.entries({
THT_INTERNAL_QDRANT_URL: "http://qdrant:6333",
THT_INTERNAL_EMBEDDING_URL: "http://embedding:11434",
THT_INTERNAL_EMBEDDING_MODEL: "qwen3-embedding:0.6b",
THT_INTERNAL_EMBEDDING_DIMENSIONS: "1024",
})) {
if (config.services.core.environment?.[key] !== value) {
throw new Error(`unexpected core ${key}: ${config.services.core.environment?.[key]}`);
}
}
for (const serviceName of ["qdrant", "embedding", "embedding-model-init"]) {
if ((config.services[serviceName].ports || []).length !== 0) {
throw new Error(`${serviceName} must not publish a host port`);
}
}
if (config.services.core.depends_on?.qdrant?.condition !== "service_healthy") {
throw new Error("core must wait for qdrant health");
}
if (config.services.core.depends_on?.["embedding-model-init"]?.condition !== "service_completed_successfully") {
throw new Error("core must wait for embedding-model-init success");
}
if (/docker\.sock|\/var\/run\/docker|docker[-_]?daemon/i.test(JSON.stringify(config.services))) {
throw new Error("Compose must not mount the Docker socket or daemon");
}