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ghcr.io/vectorize-io/hindsight:1.1.0-slim
linux/amd64 ghcr.io vervrever 贡献

Hindsight是由Vectorize.io开发的高性能日志处理与分析工具,支持多种数据源,可用于实时或批量处理日志数据,帮助用户提取和分析日志中的关键信息,助力高效的数据洞察与决策。

28
浏览次数
1.39GB
镜像大小
国内镜像
swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/vectorize-io/hindsight:1.1.0-slim
源镜像
ghcr.io/vectorize-io/hindsight:1.1.0-slim
镜像ID
sha256:c62bf7e7cef2bff8ff33ba05cf1a14b658d38c139b0fd30860a5f4207eb70c3b
镜像 TAG
1.1.0-slim
镜像大小
1.39GB
平台架构
linux/amd64
镜像源
ghcr.io
CMD
/app/start-all.sh
启动入口
工作目录
/app
OS/平台
linux/amd64
镜像创建
2026-10-21T16:23:09.627910821Z
同步时间
2026-10-23 14:38
浏览量
28 次
贡献者
avatar vervrever
🔌 开放端口 2
8888/tcp 9999/tcp
⚙️ 环境变量 17
KeyValue
PATH=/app/api/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 0
LANG=C.UTF-8 1
GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D 2
PYTHON_VERSION=3.11.17 3
PYTHON_SHA256=bfb74ad39efae27cda510f134ab408e00f9992c56851cfc0b1cdb5646da11599 4
HF_HUB_DOWNLOAD_TIMEOUT=600 5
HINDSIGHT_API_HOST=0.0.0.0 6
HINDSIGHT_API_PORT=8888 7
HINDSIGHT_API_LOG_LEVEL=info 8
NODE_ENV=production 9
HINDSIGHT_CP_DATAPLANE_API_URL=http://localhost:8888 10
HINDSIGHT_ENABLE_API=true 11
HINDSIGHT_ENABLE_CP=true 12
PYTHONUNBUFFERED=1 13
TRANSFORMERS_VERBOSITY=error 14
HF_HUB_VERBOSITY=error 15
TOKENIZERS_PARALLELISM=false 16
🏷️ 镜像标签 8
KeyValue
2026-10-21T16:19:00.610Z org.opencontainers.image.created
Hindsight: Agent Memory That Learns org.opencontainers.image.description
MIT org.opencontainers.image.licenses
a5a619b5ca59c5c39e0f96be6f7a31fabd136bd5 org.opencontainers.image.revision
https://github.com/vectorize-io/hindsight org.opencontainers.image.source
hindsight org.opencontainers.image.title
https://github.com/vectorize-io/hindsight org.opencontainers.image.url
1.1.0-slim org.opencontainers.image.version

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/vectorize-io/hindsight:1.1.0-slim
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/vectorize-io/hindsight:1.1.0-slim  ghcr.io/vectorize-io/hindsight:1.1.0-slim

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/vectorize-io/hindsight:1.1.0-slim
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/vectorize-io/hindsight:1.1.0-slim  ghcr.io/vectorize-io/hindsight:1.1.0-slim

Shell快速替换命令

sed -i 's#ghcr.io/vectorize-io/hindsight:1.1.0-slim#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/vectorize-io/hindsight:1.1.0-slim#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/vectorize-io/hindsight:1.1.0-slim && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/vectorize-io/hindsight:1.1.0-slim  ghcr.io/vectorize-io/hindsight:1.1.0-slim'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/vectorize-io/hindsight:1.1.0-slim && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/vectorize-io/hindsight:1.1.0-slim  ghcr.io/vectorize-io/hindsight:1.1.0-slim'

镜像构建历史


# 2026-10-22 00:23:09  0.00B 设置默认要执行的命令
CMD ["/app/start-all.sh"]
                        
# 2026-10-22 00:23:09  0.00B 设置环境变量 TOKENIZERS_PARALLELISM
ENV TOKENIZERS_PARALLELISM=false
                        
# 2026-10-22 00:23:09  0.00B 设置环境变量 HF_HUB_VERBOSITY
ENV HF_HUB_VERBOSITY=error
                        
# 2026-10-22 00:23:09  0.00B 设置环境变量 TRANSFORMERS_VERBOSITY
ENV TRANSFORMERS_VERBOSITY=error
                        
# 2026-10-22 00:23:09  0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1
                        
# 2026-10-22 00:23:09  0.00B 设置环境变量 HINDSIGHT_ENABLE_CP
ENV HINDSIGHT_ENABLE_CP=true
                        
# 2026-10-22 00:23:09  0.00B 设置环境变量 HINDSIGHT_ENABLE_API
ENV HINDSIGHT_ENABLE_API=true
                        
# 2026-10-22 00:23:09  0.00B 设置环境变量 HINDSIGHT_CP_DATAPLANE_API_URL
ENV HINDSIGHT_CP_DATAPLANE_API_URL=http://localhost:8888
                        
# 2026-10-22 00:23:09  0.00B 设置环境变量 NODE_ENV
ENV NODE_ENV=production
                        
# 2026-10-22 00:23:09  0.00B 设置环境变量 HINDSIGHT_API_LOG_LEVEL
ENV HINDSIGHT_API_LOG_LEVEL=info
                        
# 2026-10-22 00:23:09  0.00B 设置环境变量 HINDSIGHT_API_PORT
ENV HINDSIGHT_API_PORT=8888
                        
# 2026-10-22 00:23:09  0.00B 设置环境变量 HINDSIGHT_API_HOST
ENV HINDSIGHT_API_HOST=0.0.0.0
                        
# 2026-10-22 00:23:09  0.00B 声明容器运行时监听的端口
EXPOSE [8888/tcp 9999/tcp]
                        
# 2026-10-22 00:23:09  0.00B 执行命令并创建新的镜像层
RUN |2 PRELOAD_ML_MODELS=false INCLUDE_LOCAL_MODELS=false /bin/sh -c if [ "$PRELOAD_ML_MODELS" = "true" ] && [ "$INCLUDE_LOCAL_MODELS" = "true" ]; then     MAX_RETRIES=3;     RETRY_DELAY=10;     for i in $(seq 1 "$MAX_RETRIES"); do       echo "Attempt $i/$MAX_RETRIES: Downloading ML models...";       /app/api/.venv/bin/python -c "import os; os.environ['HF_HUB_DOWNLOAD_TIMEOUT'] = '600'; from sentence_transformers import SentenceTransformer, CrossEncoder; print('Downloading embedding model...'); SentenceTransformer('BAAI/bge-small-en-v1.5'); print('Downloading cross-encoder model...'); CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2'); print('Models cached successfully')" && break;       if [ "$i" -lt "$MAX_RETRIES" ]; then         echo "Attempt $i failed, retrying in ${RETRY_DELAY}s...";         sleep "$RETRY_DELAY";         RETRY_DELAY=$((RETRY_DELAY * 2));       fi;     done;     if [ "$i" -eq "$MAX_RETRIES" ] && ! /app/api/.venv/bin/python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('BAAI/bge-small-en-v1.5')" 2>/dev/null; then       echo "ERROR: Failed to download models after $MAX_RETRIES attempts";       exit 1;     fi;     elif [ "$INCLUDE_LOCAL_MODELS" != "true" ]; then echo "Skipping ML model preload (local-models not included)";     else echo "Skipping ML model preload"; fi # buildkit
                        
# 2026-10-22 00:23:09  0.00B 设置环境变量 HF_HUB_DOWNLOAD_TIMEOUT
ENV HF_HUB_DOWNLOAD_TIMEOUT=600
                        
# 2026-10-22 00:23:09  0.00B 定义构建参数
ARG INCLUDE_LOCAL_MODELS=false
                        
# 2026-10-22 00:23:09  0.00B 定义构建参数
ARG PRELOAD_ML_MODELS=false
                        
# 2026-10-22 00:23:09  0.00B 设置环境变量 PATH
ENV PATH=/app/api/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-10-22 00:23:09  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /home/hindsight/.pg0 && chmod 755 /home/hindsight # buildkit
                        
# 2026-10-22 00:23:09  0.00B 指定运行容器时使用的用户
USER hindsight
                        
# 2026-10-22 00:23:09  0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod +x /app/start-all.sh # buildkit
                        
# 2026-10-22 00:23:09  17.04KB 复制新文件或目录到容器中
COPY --chown=hindsight:hindsight docker/standalone/start-all.sh /app/start-all.sh # buildkit
                        
# 2026-10-22 00:23:09  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2026-10-22 00:23:09  352.14KB 复制新文件或目录到容器中
COPY --chown=hindsight:hindsight /app/memory-poc/hindsight-control-plane/public ./public # buildkit
                        
# 2026-10-22 00:23:09  2.90MB 复制新文件或目录到容器中
COPY --chown=hindsight:hindsight /app/memory-poc/hindsight-control-plane/.next/static ./.next/static # buildkit
                        
# 2026-10-22 00:23:09  58.53MB 复制新文件或目录到容器中
COPY --chown=hindsight:hindsight /app/memory-poc/hindsight-control-plane/standalone ./ # buildkit
                        
# 2026-10-22 00:23:08  0.00B 设置工作目录为/app/control-plane
WORKDIR /app/control-plane
                        
# 2026-10-22 00:23:08  2.70MB 复制新文件或目录到容器中
COPY --chown=hindsight:hindsight /app/hindsight-clients/typescript /app/sdk # buildkit
                        
# 2026-10-22 00:23:08  983.05MB 复制新文件或目录到容器中
COPY --chown=hindsight:hindsight /app/api /app/api # buildkit
                        
# 2026-10-22 00:23:00  8.93KB 执行命令并创建新的镜像层
RUN /bin/sh -c node --version && ! command -v npm     && useradd -m -s /bin/bash hindsight # buildkit
                        
# 2026-10-22 00:23:00  157.61KB 复制新文件或目录到容器中
COPY /usr/local/LICENSE /usr/local/LICENSE # buildkit
                        
# 2026-10-22 00:23:00  126.88MB 复制新文件或目录到容器中
COPY /usr/local/bin/node /usr/local/bin/node # buildkit
                        
# 2026-10-22 00:19:47  90.97MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get upgrade -y     && apt-get install -y --no-install-recommends     procps     libssl3     libgssapi-krb5-2     libossp-uuid16     && (apt-get install -y --no-install-recommends libicu72 2>/dev/null || apt-get install -y --no-install-recommends libicu74 2>/dev/null || apt-get install -y --no-install-recommends libicu76 2>/dev/null || true)     && rm -rf /var/lib/apt/lists/*     && pip install --no-cache-dir uv     && pip uninstall --yes setuptools wheel # buildkit
                        
# 2026-10-22 00:19:06  0.00B 设置工作目录为/app
WORKDIR /app
                        
# 2026-10-21 09:09:58  0.00B 设置默认要执行的命令
CMD ["python3"]
                        
# 2026-10-21 09:09:58  36.00B 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	for src in idle3 pip3 pydoc3 python3 python3-config; do 		dst="$(echo "$src" | tr -d 3)"; 		[ -s "/usr/local/bin/$src" ]; 		[ ! -e "/usr/local/bin/$dst" ]; 		ln -svT "$src" "/usr/local/bin/$dst"; 	done # buildkit
                        
# 2026-10-21 09:09:58  42.45MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 		savedAptMark="$(apt-mark showmanual)"; 	apt-get update; 	apt-get install -y --no-install-recommends 		dpkg-dev 		g++ 		gcc 		gnupg 		libbluetooth-dev 		libbz2-dev 		libc6-dev 		libdb-dev 		libffi-dev 		libgdbm-dev 		liblzma-dev 		libncursesw5-dev 		libreadline-dev 		libsqlite3-dev 		libssl-dev 		make 		tk-dev 		uuid-dev 		wget 		xz-utils 		zlib1g-dev 	; 		wget -O python.tar.xz "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz"; 	echo "$PYTHON_SHA256 *python.tar.xz" | sha256sum -c -; 	wget -O python.tar.xz.asc "https://www.python.org/ftp/python/${PYTHON_VERSION%%[a-z]*}/Python-$PYTHON_VERSION.tar.xz.asc"; 	GNUPGHOME="$(mktemp -d)"; export GNUPGHOME; 	gpg --batch --keyserver hkps://keys.openpgp.org --recv-keys "$GPG_KEY"; 	gpg --batch --verify python.tar.xz.asc python.tar.xz; 	gpgconf --kill all; 	rm -rf "$GNUPGHOME" python.tar.xz.asc; 	mkdir -p /usr/src/python; 	tar --extract --directory /usr/src/python --strip-components=1 --file python.tar.xz; 	rm python.tar.xz; 		cd /usr/src/python; 	gnuArch="$(dpkg-architecture --query DEB_BUILD_GNU_TYPE)"; 	./configure 		--build="$gnuArch" 		--enable-loadable-sqlite-extensions 		--enable-optimizations 		--enable-option-checking=fatal 		--enable-shared 		$(test "${gnuArch%%-*}" != 'riscv64' && echo '--with-lto') 		--with-ensurepip 	; 	nproc="$(nproc)"; 	EXTRA_CFLAGS="$(dpkg-buildflags --get CFLAGS)"; 	LDFLAGS="$(dpkg-buildflags --get LDFLAGS)"; 	LDFLAGS="${LDFLAGS:-} -Wl,--strip-all"; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:-}" 	; 	rm python; 	make -j "$nproc" 		"EXTRA_CFLAGS=${EXTRA_CFLAGS:-}" 		"LDFLAGS=${LDFLAGS:-} -Wl,-rpath='\$\$ORIGIN/../lib'" 		python 	; 	make install; 		cd /; 	rm -rf /usr/src/python; 		find /usr/local -depth 		\( 			\( -type d -a \( -name test -o -name tests -o -name idle_test \) \) 			-o \( -type f -a \( -name '*.pyc' -o -name '*.pyo' -o -name 'libpython*.a' \) \) 		\) -exec rm -rf '{}' + 	; 		ldconfig; 		apt-mark auto '.*' > /dev/null; 	apt-mark manual $savedAptMark; 	find /usr/local -type f -executable -not \( -name '*tkinter*' \) -exec ldd '{}' ';' 		| awk '/=>/ { so = $(NF-1); if (index(so, "/usr/local/") == 1) { next }; gsub("^/(usr/)?", "", so); printf "*%s\n", so }' 		| sort -u 		| xargs -rt dpkg-query --search 		| awk 'sub(":$", "", $1) { print $1 }' 		| sort -u 		| xargs -r apt-mark manual 	; 	apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false; 	apt-get dist-clean; 		export PYTHONDONTWRITEBYTECODE=1; 	python3 --version; 		pip3 install 		--disable-pip-version-check 		--no-cache-dir 		--no-compile 		'setuptools==79.0.1' 		'wheel==0.46.3' 	; 	pip3 --version # buildkit
                        
# 2026-10-21 09:01:43  0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=bfb74ad39efae27cda510f134ab408e00f9992c56851cfc0b1cdb5646da11599
                        
# 2026-10-21 09:01:43  0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11.17
                        
# 2026-10-21 09:01:43  0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
                        
# 2026-10-21 09:01:43  3.81MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; 	apt-get update; 	apt-get install -y --no-install-recommends 		ca-certificates 		netbase 		tzdata 	; 	apt-get dist-clean # buildkit
                        
# 2026-10-21 09:01:43  0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
                        
# 2026-10-21 09:01:43  0.00B 设置环境变量 PATH
ENV PATH=/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
                        
# 2026-10-21 05:32:55  78.82MB 
# debian.sh --arch 'amd64' out/ 'trixie' '@1792531975'
                        
                    

镜像信息

{
    "Id": "sha256:c62bf7e7cef2bff8ff33ba05cf1a14b658d38c139b0fd30860a5f4207eb70c3b",
    "RepoTags": [
        "ghcr.io/vectorize-io/hindsight:1.1.0-slim",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/vectorize-io/hindsight:1.1.0-slim"
    ],
    "RepoDigests": [
        "ghcr.io/vectorize-io/hindsight@sha256:fbc37d194bce007b6cce2fd9f66cd7f8c050bd18b80e662090a92835d9cb191d",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/vectorize-io/hindsight@sha256:b1a1933b185bfa30d4260f9d33d7e92e690b13de4c098883d7b0f97dc64ffa8c"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2026-10-21T16:23:09.627910821Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "hindsight",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "8888/tcp": {},
            "9999/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/app/api/.venv/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "LANG=C.UTF-8",
            "GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D",
            "PYTHON_VERSION=3.11.17",
            "PYTHON_SHA256=bfb74ad39efae27cda510f134ab408e00f9992c56851cfc0b1cdb5646da11599",
            "HF_HUB_DOWNLOAD_TIMEOUT=600",
            "HINDSIGHT_API_HOST=0.0.0.0",
            "HINDSIGHT_API_PORT=8888",
            "HINDSIGHT_API_LOG_LEVEL=info",
            "NODE_ENV=production",
            "HINDSIGHT_CP_DATAPLANE_API_URL=http://localhost:8888",
            "HINDSIGHT_ENABLE_API=true",
            "HINDSIGHT_ENABLE_CP=true",
            "PYTHONUNBUFFERED=1",
            "TRANSFORMERS_VERBOSITY=error",
            "HF_HUB_VERBOSITY=error",
            "TOKENIZERS_PARALLELISM=false"
        ],
        "Cmd": [
            "/app/start-all.sh"
        ],
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/app",
        "Entrypoint": null,
        "OnBuild": null,
        "Labels": {
            "org.opencontainers.image.created": "2026-10-21T16:19:00.610Z",
            "org.opencontainers.image.description": "Hindsight: Agent Memory That Learns",
            "org.opencontainers.image.licenses": "MIT",
            "org.opencontainers.image.revision": "a5a619b5ca59c5c39e0f96be6f7a31fabd136bd5",
            "org.opencontainers.image.source": "https://github.com/vectorize-io/hindsight",
            "org.opencontainers.image.title": "hindsight",
            "org.opencontainers.image.url": "https://github.com/vectorize-io/hindsight",
            "org.opencontainers.image.version": "1.1.0-slim"
        }
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 1390642417,
    "GraphDriver": {
        "Data": {
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}

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