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Author SHA1 Message Date
Lucas Armand e42afd187a pin version 2026-04-13 11:20:45 -07:00
Lucas Armand 98a3182079 Add nltk requirement for openai worker 2026-04-13 10:35:22 -07:00
4 changed files with 27 additions and 59 deletions
-37
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@@ -1,37 +0,0 @@
// .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:3.0.0": {
"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
}
}
}
}
+15 -15
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@@ -60,32 +60,32 @@ function install_vastai_sdk() {
fi
if [ "$FORCE_UPDATE" = true ]; then
uv_flags+=(--force-reinstall)
echo "Force reinstalling vastai"
echo "Force reinstalling vastai-sdk"
fi
# If SDK_BRANCH is set, install vastai from the vast-cli repo at that branch/tag/commit.
# If SDK_BRANCH is set, install vastai-sdk from the vast-sdk repo at that branch/tag/commit.
if [ -n "${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 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}"
echo "Installing vastai-sdk from https://github.com/vast-ai/vast-sdk/ @ ${SDK_BRANCH}"
if ! uv pip install "${uv_flags[@]}" "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}"
fi
return 0
fi
if [ -n "${SDK_VERSION:-}" ]; then
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}"
echo "Installing vastai-sdk version ${SDK_VERSION}"
if ! uv pip install "${uv_flags[@]}" "vastai-sdk==${SDK_VERSION}"; then
report_error_and_exit "Failed to install vastai-sdk==${SDK_VERSION}"
fi
return 0
fi
echo "Installing default vastai"
if ! uv pip install "${uv_flags[@]}" vastai; then
report_error_and_exit "Failed to install vastai"
echo "Installing default vastai-sdk"
if ! uv pip install "${uv_flags[@]}" vastai-sdk; then
report_error_and_exit "Failed to install vastai-sdk"
fi
}
@@ -339,19 +339,19 @@ set +e
PY_STATUS=1
if [ -f "$SERVER_DIR/worker.py" ]; then
echo "Running worker.py"
echo "trying worker.py"
python3 -m "worker" |& tee -a "$PYWORKER_LOG"
PY_STATUS=${PIPESTATUS[0]}
fi
if [ "${PY_STATUS}" -ne 0 ] && [ -f "$SERVER_DIR/workers/$BACKEND/worker.py" ]; then
echo "Running workers.${BACKEND}.worker"
echo "trying workers.${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 "Running workers.${BACKEND}.server"
echo "trying workers.${BACKEND}.server"
python3 -m "workers.${BACKEND}.server" |& tee -a "$PYWORKER_LOG"
PY_STATUS=${PIPESTATUS[0]}
fi
@@ -365,4 +365,4 @@ if [ "${PY_STATUS}" -ne 0 ]; then
report_error_and_exit "PyWorker exited with status ${PY_STATUS}"
fi
echo "PyWorker bootstrap complete"
echo "launching PyWorker server done"
+11 -6
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@@ -4,20 +4,25 @@ import os
from vastai import Worker, WorkerConfig, HandlerConfig, LogActionConfig, BenchmarkConfig
# Ollama model configuration
MODEL_SERVER_URL = 'http://127.0.0.1:11434'
MODEL_SERVER_PORT = 11434
MODEL_LOG_FILE = '/var/log/onstart.log'
MODEL_HEALTHCHECK_ENDPOINT = "/"
# vLLM 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"
# Ollama-specific log messages
# 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")
+1 -1
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@@ -35,7 +35,7 @@ def benchmark_generator() -> dict:
benchmark_data = {
"inputs": prompt,
"parameters": {
"max_new_tokens": 500,
"max_new_tokens": 128,
"temperature": 0.7,
"return_full_text": False
}