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31 Commits

Author SHA1 Message Date
Mikhail Yevchenko 7df01c41b4 Update log action configuration to specify model loading message 2026-06-09 12:08:10 +03:00
Mikhail Yevchenko 885064fba6 Update docker-in-docker feature version to 3.0.1 in devcontainer configuration 2026-05-25 08:13:15 +00:00
Mikhail Yevchenko e8e04fe8bc Remove commented out info log actions from log configuration 2026-05-21 19:55:13 +00:00
Mikhail Yevchenko 6cb3acdd64 Add logging import and set logger level to WARNING 2026-05-21 19:50:21 +00:00
Mikhail Yevchenko 586ccbff1b Update log action configuration to specify detailed error and info messages 2026-05-21 19:47:16 +00:00
Mikhail Yevchenko bcc6b62277 Update log action configuration to enable error and info logging 2026-05-21 19:40:47 +00:00
Mikhail Yevchenko 3285d9118f Enhance completions benchmark generator to extract words from a fallback Perl copyright file 2026-05-21 19:33:41 +00:00
Mikhail Yevchenko f77d943d79 Refactor log message handling and improve word extraction in completions benchmark 2026-05-21 19:25:09 +00:00
Mikhail Yevchenko 976622a594 Remove nltk dep 2026-05-21 19:11:53 +00:00
Mikhail Yevchenko 0b47ef80fb Remove version specifications for vastai-sdk and nltk in requirements.txt 2026-05-21 19:10:13 +00:00
Mikhail Yevchenko 3898a8a651 Update model server URL to remove port specification 2026-05-21 18:50:41 +00:00
Mikhail Yevchenko 170571714f Add log message for model load event in Ollama configuration 2026-05-21 15:27:28 +00:00
Mikhail Yevchenko 81347ab8a0 Remove placeholder log messages for model load, error, and info 2026-05-21 15:11:30 +00:00
Mikhail Yevchenko 6bb0097829 Refactor model configuration and update log messages for Ollama 2026-05-21 15:11:25 +00:00
Mikhail Yevchenko 1cea6fbd2d Update model server URL and port configuration 2026-05-20 13:34:45 +00:00
Mikhail Yevchenko 40db98915f Add devcontainer configuration for Vast.ai serverless Ollama template 2026-05-18 20:38:26 +00:00
Mikhail Yevchenko 94926b74b6 Add log message for server listening status 2026-05-18 19:42:40 +00:00
Mikhail Yevchenko d0347b0755 Update log file path and enhance load log messages 2026-05-18 18:41:14 +00:00
Lucas Armand 9bc9ba11c5 Increase TGI benchmark tokens to 500 2026-04-30 14:04:39 -07:00
LucasArmandVast 48fdc65e3d Update to vastai package (#84) 2026-04-14 10:41:31 -07:00
LucasArmandVast 2cd97315cd Add nltk requirement for openai worker (#83)
* Add nltk requirement for openai worker

* pin version
2026-04-13 11:30:06 -07:00
Lucas Armand 83c31e25a9 Add force update detection 2026-03-31 13:46:22 -07:00
Lucas Armand fbe1dca6fa more env_path fixes 2026-03-30 16:28:51 -07:00
Lucas Armand 4c3120dbc5 allow override env_path 2026-03-30 16:25:01 -07:00
Lucas Armand d7d9b915f6 allow break system packages 2026-03-30 16:09:17 -07:00
Lucas Armand 4660b337fb Check for USE_SYSTEM_PYTHON 2026-03-30 14:46:38 -07:00
edgaratvast 7506ecb6b5 directly invoke one stop shop setup executable exported by vastai pip package for deployments (#82) 2026-03-26 10:59:49 -07:00
LucasArmandVast 50633c5003 Update deployments script with retries. (#81) 2026-03-23 14:58:32 -07:00
LucasArmandVast 2e8f18276f Add beta deployments script (#80) 2026-03-23 14:14:06 -07:00
Scott Darden eba9c480eb Merge pull request #79 from vast-ai/update-requirements
Updated requirements to only require vastai-sdk
2026-01-14 12:07:33 -08:00
LucasArmandVast f319db6bd5 flag for model log rotate (#78) 2026-01-12 17:03:18 -08:00
5 changed files with 209 additions and 55 deletions
+37
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@@ -0,0 +1,37 @@
// .devcontainer/devcontainer.json
// Dev container for the Vast.ai serverless Ollama template.
// Includes Docker-in-Docker so you can build and test images from inside the container.
{
"name": "vast.ai-serverless-ollama",
"image": "mcr.microsoft.com/devcontainers/base:trixie",
"features": {
"ghcr.io/devcontainers/features/python:1": {
"installTools": true,
"version": "3.12"
},
"ghcr.io/devcontainers/features/docker-in-docker:3.0.1": {
"moby": false,
"version": "latest",
"installDockerBuildx": true,
"dockerDashComposeVersion": "v2"
}
},
"runArgs": ["--privileged"],
"containerEnv": {
"DOCKER_BUILDKIT": "1"
},
"postCreateCommand": "python3 -m pip install --user --upgrade pip && python3 -m pip install --user -r requirements.txt pyyaml",
"customizations": {
"vscode": {
"extensions": [
"ms-python.python",
"ms-azuretools.vscode-docker"
],
"settings": {
"python.defaultInterpreterPath": "/usr/bin/python3",
"terminal.integrated.defaultProfile.linux": "bash",
"docker.showStartPage": false
}
}
}
}
+1 -1
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@@ -1 +1 @@
vastai-sdk>=0.3.0
vastai-sdk
+138 -23
View File
@@ -2,10 +2,17 @@
set -e -o pipefail
# Check for force update flag
FORCE_UPDATE=false
if [ -f "/.force_update" ]; then
echo "Force update flag detected at /.force_update"
FORCE_UPDATE=true
fi
WORKSPACE_DIR="${WORKSPACE_DIR:-/workspace}"
SERVER_DIR="$WORKSPACE_DIR/vast-pyworker"
ENV_PATH="$WORKSPACE_DIR/worker-env"
ENV_PATH="${ENV_PATH:-$WORKSPACE_DIR/worker-env}"
DEBUG_LOG="$WORKSPACE_DIR/debug.log"
PYWORKER_LOG="$WORKSPACE_DIR/pyworker.log"
@@ -47,29 +54,38 @@ JSON
}
function install_vastai_sdk() {
# If SDK_BRANCH is set, install vastai-sdk from the vast-sdk repo at that branch/tag/commit.
local uv_flags=()
if [ "${USE_SYSTEM_PYTHON:-}" = "true" ]; then
uv_flags+=(--system --break-system-packages)
fi
if [ "$FORCE_UPDATE" = true ]; then
uv_flags+=(--force-reinstall)
echo "Force reinstalling vastai"
fi
# If SDK_BRANCH is set, install vastai from the vast-cli repo at that branch/tag/commit.
if [ -n "${SDK_BRANCH:-}" ]; then
if [ -n "${SDK_VERSION:-}" ]; then
echo "WARNING: Both SDK_BRANCH and SDK_VERSION are set; using SDK_BRANCH=${SDK_BRANCH}"
fi
echo "Installing vastai-sdk from https://github.com/vast-ai/vast-sdk/ @ ${SDK_BRANCH}"
if ! uv pip install "vastai-sdk @ git+https://github.com/vast-ai/vast-sdk.git@${SDK_BRANCH}"; then
report_error_and_exit "Failed to install vastai-sdk from vast-ai/vast-sdk@${SDK_BRANCH}"
echo "Installing vastai from https://github.com/vast-ai/vast-cli/ @ ${SDK_BRANCH}"
if ! uv pip install "${uv_flags[@]}" "vastai @ git+https://github.com/vast-ai/vast-cli.git@${SDK_BRANCH}"; then
report_error_and_exit "Failed to install vastai from vast-ai/vast-cli@${SDK_BRANCH}"
fi
return 0
fi
if [ -n "${SDK_VERSION:-}" ]; then
echo "Installing vastai-sdk version ${SDK_VERSION}"
if ! uv pip install "vastai-sdk==${SDK_VERSION}"; then
report_error_and_exit "Failed to install vastai-sdk==${SDK_VERSION}"
echo "Installing vastai version ${SDK_VERSION}"
if ! uv pip install "${uv_flags[@]}" "vastai==${SDK_VERSION}"; then
report_error_and_exit "Failed to install vastai==${SDK_VERSION}"
fi
return 0
fi
echo "Installing default vastai-sdk"
if ! uv pip install vastai-sdk; then
report_error_and_exit "Failed to install vastai-sdk"
echo "Installing default vastai"
if ! uv pip install "${uv_flags[@]}" vastai; then
report_error_and_exit "Failed to install vastai"
fi
}
@@ -90,7 +106,8 @@ echo_var DEBUG_LOG
echo_var PYWORKER_LOG
echo_var MODEL_LOG
if [ -e "$MODEL_LOG" ]; then
ROTATE_MODEL_LOG="${ROTATE_MODEL_LOG:-false}"
if [ "$ROTATE_MODEL_LOG" = "true" ] && [ -e "$MODEL_LOG" ]; then
echo "Rotating model log at $MODEL_LOG to $MODEL_LOG.old"
if ! cat "$MODEL_LOG" >> "$MODEL_LOG.old"; then
report_error_and_exit "Failed to rotate model log"
@@ -111,8 +128,21 @@ if ! grep -q "VAST" /etc/environment; then
fi
fi
if [ ! -d "$ENV_PATH" ]
then
if [ "${USE_SYSTEM_PYTHON:-}" = "true" ]; then
echo "Using system Python: $(which python3)"
if ! which uv > /dev/null 2>&1; then
if ! curl -LsSf https://astral.sh/uv/install.sh | sh; then
report_error_and_exit "Failed to install uv package manager"
fi
if [[ -f ~/.local/bin/env ]]; then
if ! source ~/.local/bin/env; then
report_error_and_exit "Failed to source uv environment"
fi
fi
fi
install_vastai_sdk
touch ~/.no_auto_tmux
elif [ ! -d "$ENV_PATH" ]; then
echo "setting up venv"
if ! which uv; then
if ! curl -LsSf https://astral.sh/uv/install.sh | sh; then
@@ -131,12 +161,29 @@ then
if ! git clone "${PYWORKER_REPO:-https://github.com/vast-ai/pyworker}" "$SERVER_DIR"; then
report_error_and_exit "Failed to clone pyworker repository"
fi
elif [ "$FORCE_UPDATE" = true ]; then
echo "Force updating pyworker repository"
if ! (cd "$SERVER_DIR" && git fetch --all); then
report_error_and_exit "Failed to fetch pyworker repository updates"
fi
fi
if [[ -n ${PYWORKER_REF:-} ]]; then
if [ "$FORCE_UPDATE" = true ]; then
echo "Force updating to pyworker reference: $PYWORKER_REF"
if ! (cd "$SERVER_DIR" && git checkout "$PYWORKER_REF" && git pull); then
report_error_and_exit "Failed to force update pyworker reference: $PYWORKER_REF"
fi
else
if ! (cd "$SERVER_DIR" && git checkout "$PYWORKER_REF"); then
report_error_and_exit "Failed to checkout pyworker reference: $PYWORKER_REF"
fi
fi
elif [ "$FORCE_UPDATE" = true ]; then
echo "Force updating pyworker to latest"
if ! (cd "$SERVER_DIR" && git pull); then
report_error_and_exit "Failed to pull latest pyworker changes"
fi
fi
if ! uv venv --python-preference only-managed "$ENV_PATH" -p 3.10; then
report_error_and_exit "Failed to create virtual environment"
@@ -161,11 +208,44 @@ else
report_error_and_exit "Failed to source uv environment"
fi
fi
if ! source "$WORKSPACE_DIR/worker-env/bin/activate"; then
if ! source "$ENV_PATH/bin/activate"; then
report_error_and_exit "Failed to activate existing virtual environment"
fi
echo "environment activated"
echo "venv: $VIRTUAL_ENV"
# Handle force update for existing environment
if [ "$FORCE_UPDATE" = true ]; then
echo "Performing force update on existing environment"
if [[ -d $SERVER_DIR ]]; then
echo "Force updating pyworker repository"
if ! (cd "$SERVER_DIR" && git fetch --all); then
report_error_and_exit "Failed to fetch pyworker repository updates"
fi
if [[ -n ${PYWORKER_REF:-} ]]; then
echo "Force updating to pyworker reference: $PYWORKER_REF"
if ! (cd "$SERVER_DIR" && git checkout "$PYWORKER_REF" && git pull); then
report_error_and_exit "Failed to force update pyworker reference: $PYWORKER_REF"
fi
else
echo "Force updating pyworker to latest"
if ! (cd "$SERVER_DIR" && git pull); then
report_error_and_exit "Failed to pull latest pyworker changes"
fi
fi
fi
install_vastai_sdk
fi
fi
# Remove force update flag after successful update
if [ "$FORCE_UPDATE" = true ]; then
echo "Removing force update flag"
rm -f "/.force_update"
echo "Force update completed successfully"
fi
if [ "$USE_SSL" = true ]; then
@@ -203,16 +283,51 @@ EOF
report_error_and_exit "Failed to generate SSL certificate request"
fi
if ! curl --header 'Content-Type: application/octet-stream' \
max_retries=5
retry_delay=2
for attempt in $(seq 1 "$max_retries"); do
http_code=$(curl -sS -o /etc/instance.crt -w '%{http_code}' \
--header 'Content-Type: application/octet-stream' \
--data-binary @/etc/instance.csr \
-X \
POST "https://console.vast.ai/api/v0/sign_cert/?instance_id=$CONTAINER_ID" > /etc/instance.crt; then
report_error_and_exit "Failed to sign SSL certificate"
-X POST "https://console.vast.ai/api/v0/sign_cert/?instance_id=$CONTAINER_ID")
if [ "$http_code" -ge 200 ] && [ "$http_code" -lt 300 ]; then
break
fi
echo "SSL cert signing attempt $attempt/$max_retries failed (HTTP $http_code)"
if [ "$attempt" -eq "$max_retries" ]; then
report_error_and_exit "Failed to sign SSL certificate after $max_retries attempts (HTTP $http_code)"
fi
sleep "$retry_delay"
retry_delay=$((retry_delay * 2))
done
fi
export REPORT_ADDR WORKER_PORT USE_SSL UNSECURED
# ─── SDK Deployment Mode ───────────────────────────────────────────────
if [ "$IS_DEPLOYMENT" = "true" ]; then
echo "=== SDK Deployment Mode ==="
echo "DEPLOYMENT_ID: $DEPLOYMENT_ID"
DEPLOY_DIR="/workspace/deployment"
mkdir -p "$DEPLOY_DIR"
VAST_API_BASE="${VAST_API_BASE:-https://console.vast.ai}"
# Download deployment code, retrying until the blob is available on S3.
# The s3_key exists in the DB as soon as the deployment is created, but the
# actual upload may still be in flight from the client side.
# Install SDK (uses the install_vastai_sdk function which supports SDK_BRANCH/SDK_VERSION)
install_vastai_sdk
# Run deployment in serve mode
export VAST_DEPLOYMENT_MODE=serve
echo "Starting deployment: python3 $DEPLOY_DIR/deployment.py"
serve-vast-deployment
exit $?
fi
# ─── End SDK Deployment Mode ───────────────────────────────────────────
if ! cd "$SERVER_DIR"; then
report_error_and_exit "Failed to cd into SERVER_DIR: $SERVER_DIR"
fi
@@ -224,19 +339,19 @@ set +e
PY_STATUS=1
if [ -f "$SERVER_DIR/worker.py" ]; then
echo "trying worker.py"
echo "Running worker.py"
python3 -m "worker" |& tee -a "$PYWORKER_LOG"
PY_STATUS=${PIPESTATUS[0]}
fi
if [ "${PY_STATUS}" -ne 0 ] && [ -f "$SERVER_DIR/workers/$BACKEND/worker.py" ]; then
echo "trying workers.${BACKEND}.worker"
echo "Running workers.${BACKEND}.worker"
python3 -m "workers.${BACKEND}.worker" |& tee -a "$PYWORKER_LOG"
PY_STATUS=${PIPESTATUS[0]}
fi
if [ "${PY_STATUS}" -ne 0 ] && [ -f "$SERVER_DIR/workers/$BACKEND/server.py" ]; then
echo "trying workers.${BACKEND}.server"
echo "Running workers.${BACKEND}.server"
python3 -m "workers.${BACKEND}.server" |& tee -a "$PYWORKER_LOG"
PY_STATUS=${PIPESTATUS[0]}
fi
@@ -250,4 +365,4 @@ if [ "${PY_STATUS}" -ne 0 ]; then
report_error_and_exit "PyWorker exited with status ${PY_STATUS}"
fi
echo "launching PyWorker server done"
echo "PyWorker bootstrap complete"
+28 -26
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@@ -1,33 +1,19 @@
import nltk
import random
import os
import re
import logging
from vastai import Worker, WorkerConfig, HandlerConfig, LogActionConfig, BenchmarkConfig
# vLLM model configuration
logging.getLogger().setLevel(logging.WARNING) # Only show warnings and errors
# Ollama model configuration
MODEL_SERVER_URL = 'http://127.0.0.1'
MODEL_SERVER_PORT = 18000
MODEL_LOG_FILE = '/var/log/portal/vllm.log'
MODEL_HEALTHCHECK_ENDPOINT = "/health"
# vLLM-specific log messages
MODEL_LOAD_LOG_MSG = [
"Application startup complete.",
]
MODEL_ERROR_LOG_MSGS = [
"INFO exited: vllm",
"RuntimeError: Engine",
"Traceback (most recent call last):"
]
MODEL_INFO_LOG_MSGS = [
'"message":"Download'
]
nltk.download("words")
WORD_LIST = nltk.corpus.words.words()
MODEL_SERVER_PORT = 11434
MODEL_LOG_FILE = '/var/log/onstart.log'
MODEL_HEALTHCHECK_ENDPOINT = "/"
# Ollama-specific log messages
def request_parser(request):
data = request
if request.get("input") is not None:
@@ -36,8 +22,24 @@ def request_parser(request):
def completions_benchmark_generator() -> dict:
# extract words from the python source code of the worker to create a list of words for generating prompts
WORD_LIST = []
# Try to load from perl copyright file first
try:
with open("/usr/share/doc/perl/copyright", 'r') as f:
source_code = f.read()
WORD_LIST = re.findall(r'\b\w+\b', source_code)
except (FileNotFoundError, IOError):
# Fallback to loading from python file
with open(__file__, 'r') as f:
source_code = f.read()
WORD_LIST = re.findall(r'\b\w+\b', source_code)
prompt = " ".join(random.choices(WORD_LIST, k=int(250)))
model = os.environ.get("MODEL_NAME")
if not model:
raise ValueError("MODEL_NAME environment variable not set")
@@ -77,9 +79,9 @@ worker_config = WorkerConfig(
)
],
log_action_config=LogActionConfig(
on_load=MODEL_LOAD_LOG_MSG,
on_error=MODEL_ERROR_LOG_MSGS,
on_info=MODEL_INFO_LOG_MSGS
on_load=["llama_server: model loaded"],
on_error=["Traceback (most recent call last):","Error:"],
#on_info=["load_tensors:","llama_context:","print_info:","llama_model_loader:"]
)
)
+1 -1
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@@ -35,7 +35,7 @@ def benchmark_generator() -> dict:
benchmark_data = {
"inputs": prompt,
"parameters": {
"max_new_tokens": 128,
"max_new_tokens": 500,
"temperature": 0.7,
"return_full_text": False
}