镜像构建历史
# 2026-06-12 23:51:56 0.00B 设置默认要执行的命令
CMD ["/app/start-all.sh"]
# 2026-06-12 23:51:56 0.00B 设置环境变量 TOKENIZERS_PARALLELISM
ENV TOKENIZERS_PARALLELISM=false
# 2026-06-12 23:51:56 0.00B 设置环境变量 HF_HUB_VERBOSITY
ENV HF_HUB_VERBOSITY=error
# 2026-06-12 23:51:56 0.00B 设置环境变量 TRANSFORMERS_VERBOSITY
ENV TRANSFORMERS_VERBOSITY=error
# 2026-06-12 23:51:56 0.00B 设置环境变量 PYTHONUNBUFFERED
ENV PYTHONUNBUFFERED=1
# 2026-06-12 23:51:56 0.00B 设置环境变量 HINDSIGHT_ENABLE_CP
ENV HINDSIGHT_ENABLE_CP=true
# 2026-06-12 23:51:56 0.00B 设置环境变量 HINDSIGHT_ENABLE_API
ENV HINDSIGHT_ENABLE_API=true
# 2026-06-12 23:51:56 0.00B 设置环境变量 HINDSIGHT_CP_DATAPLANE_API_URL
ENV HINDSIGHT_CP_DATAPLANE_API_URL=http://localhost:8888
# 2026-06-12 23:51:56 0.00B 设置环境变量 NODE_ENV
ENV NODE_ENV=production
# 2026-06-12 23:51:56 0.00B 设置环境变量 HINDSIGHT_API_LOG_LEVEL
ENV HINDSIGHT_API_LOG_LEVEL=info
# 2026-06-12 23:51:56 0.00B 设置环境变量 HINDSIGHT_API_PORT
ENV HINDSIGHT_API_PORT=8888
# 2026-06-12 23:51:56 0.00B 设置环境变量 HINDSIGHT_API_HOST
ENV HINDSIGHT_API_HOST=0.0.0.0
# 2026-06-12 23:51:56 0.00B 声明容器运行时监听的端口
EXPOSE [8888/tcp 9999/tcp]
# 2026-06-12 23:51:56 310.29MB 执行命令并创建新的镜像层
RUN |2 PRELOAD_ML_MODELS=true INCLUDE_LOCAL_MODELS=true /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
# 2026-06-12 23:51:17 0.00B 设置环境变量 HF_HUB_DOWNLOAD_TIMEOUT
ENV HF_HUB_DOWNLOAD_TIMEOUT=600
# 2026-06-12 23:51:17 0.00B 定义构建参数
ARG INCLUDE_LOCAL_MODELS=true
# 2026-06-12 23:51:17 0.00B 定义构建参数
ARG PRELOAD_ML_MODELS=true
# 2026-06-12 23:51:17 2.58MB 执行命令并创建新的镜像层
RUN /bin/sh -c MAX_RETRIES=3; RETRY_DELAY=5; for i in $(seq 1 $MAX_RETRIES); do echo "Attempt $i/$MAX_RETRIES: Downloading tiktoken encoding..."; /app/api/.venv/bin/python -c "import tiktoken; print('Downloading cl100k_base encoding...'); tiktoken.get_encoding('cl100k_base'); print('Tiktoken encoding 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 ]; then echo "ERROR: Failed to download tiktoken encoding after $MAX_RETRIES attempts"; exit 1; fi # buildkit
# 2026-06-12 23:51:16 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
# 2026-06-12 23:51:16 0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c chmod 755 /home/hindsight # buildkit
# 2026-06-12 23:51:16 0.00B 执行命令并创建新的镜像层
RUN /bin/sh -c mkdir -p /home/hindsight/.pg0 # buildkit
# 2026-06-12 23:51:16 0.00B 指定运行容器时使用的用户
USER hindsight
# 2026-06-12 23:51:15 1.90GB 执行命令并创建新的镜像层
RUN /bin/sh -c chown -R hindsight:hindsight /app # buildkit
# 2026-06-12 23:50:30 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
# 2026-06-12 23:50:30 11.35KB 复制新文件或目录到容器中
COPY docker/standalone/start-all.sh /app/start-all.sh # buildkit
# 2026-06-12 23:50:30 0.00B 设置工作目录为/app
WORKDIR /app
# 2026-06-12 23:50:30 73.66KB 复制新文件或目录到容器中
COPY /app/memory-poc/hindsight-control-plane/public ./public # buildkit
# 2026-06-12 23:50:30 2.80MB 复制新文件或目录到容器中
COPY /app/memory-poc/hindsight-control-plane/.next/static ./.next/static # buildkit
# 2026-06-12 23:50:30 48.71MB 复制新文件或目录到容器中
COPY /app/memory-poc/hindsight-control-plane/standalone ./ # buildkit
# 2026-06-12 23:48:40 0.00B 设置工作目录为/app/control-plane
WORKDIR /app/control-plane
# 2026-06-12 23:48:40 7.73MB 复制新文件或目录到容器中
COPY /app/hindsight-clients/typescript /app/sdk # buildkit
# 2026-06-12 23:48:40 1.85GB 复制新文件或目录到容器中
COPY /app/api /app/api # buildkit
# 2026-06-12 23:48:25 8.93KB 执行命令并创建新的镜像层
RUN /bin/sh -c useradd -m -s /bin/bash hindsight # buildkit
# 2026-06-12 23:48:25 329.19MB 执行命令并创建新的镜像层
RUN /bin/sh -c apt-get update && apt-get install -y curl procps libxml2 libssl3 libgssapi-krb5-2 libossp-uuid16 && (apt-get install -y libicu72 2>/dev/null || apt-get install -y libicu74 2>/dev/null || apt-get install -y libicu76 2>/dev/null || true) && curl -fsSL https://deb.nodesource.com/setup_20.x | bash - && apt-get install -y nodejs && rm -rf /var/lib/apt/lists/* && pip install --no-cache-dir uv # buildkit
# 2026-06-12 23:47:11 0.00B 设置工作目录为/app
WORKDIR /app
# 2026-06-11 09:11:19 0.00B 设置默认要执行的命令
CMD ["python3"]
# 2026-06-11 09:11:19 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/$dst"; done # buildkit
# 2026-06-11 09:11:18 42.04MB 执行命令并创建新的镜像层
RUN /bin/sh -c set -eux; savedAptMark="$(apt-mark showmanual)"; apt-get update; apt-get install -y --no-install-recommends dpkg-dev 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' ; pip3 --version # buildkit
# 2026-06-11 09:03:07 0.00B 设置环境变量 PYTHON_SHA256
ENV PYTHON_SHA256=272179ddd9a2e41a0fc8e42e33dfbdca0b3711aa5abf372d3f2d51543d09b625
# 2026-06-11 09:03:07 0.00B 设置环境变量 PYTHON_VERSION
ENV PYTHON_VERSION=3.11.15
# 2026-06-11 09:03:07 0.00B 设置环境变量 GPG_KEY
ENV GPG_KEY=A035C8C19219BA821ECEA86B64E628F8D684696D
# 2026-06-11 09:03:07 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
# 2026-06-11 09:03:07 0.00B 设置环境变量 LANG
ENV LANG=C.UTF-8
# 2026-06-11 09:03:07 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
# 2026-06-10 08:00:00 78.63MB
# debian.sh --arch 'amd64' out/ 'trixie' '@1781049600'
镜像信息
{
"Id": "sha256:a0b8f27a6385af9294d37eed76285c27670fec957cf2222f3eb50041619bba69",
"RepoTags": [
"ghcr.io/vectorize-io/hindsight:0.8.2",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/vectorize-io/hindsight:0.8.2"
],
"RepoDigests": [
"ghcr.io/vectorize-io/hindsight@sha256:7c069db2d7aeeae82d3d3917292b87b14d6547f979c8b1335a42c94d09d57213",
"swr.cn-north-4.myhuaweicloud.com/ddn-k8s/ghcr.io/vectorize-io/hindsight@sha256:6fe5f21f339c374cb70e4c601c9c02783a9e219d346b046edc21292065ef889f"
],
"Parent": "",
"Comment": "buildkit.dockerfile.v0",
"Created": "2026-06-12T15:51:56.362901278Z",
"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=3.11.15",
"PYTHON_SHA256=272179ddd9a2e41a0fc8e42e33dfbdca0b3711aa5abf372d3f2d51543d09b625",
"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": "2026-06-12T15:47:05.766Z",
"org.opencontainers.image.description": "Hindsight: Agent Memory That Learns",
"org.opencontainers.image.licenses": "MIT",
"org.opencontainers.image.revision": "6f59a09479386bd0d1d8ecf45da33d088a394e15",
"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": "0.8.2"
}
},
"Architecture": "amd64",
"Os": "linux",
"Size": 4573122441,
"GraphDriver": {
"Data": {
"LowerDir": "/var/lib/docker/overlay2/3112a51e922c9b71d46140e7f0b90f5e0b6bab28b3c547589448d347563cd929/diff:/var/lib/docker/overlay2/58804a4977784039c02f7b5c727d0a5eaebc81dab4836ba87890c9fbe2e72c24/diff:/var/lib/docker/overlay2/debc416cc2b4d9626a35b16c575c53dc2829c2f500a37a330e1331857ef1cc4c/diff:/var/lib/docker/overlay2/3d630288741d5f27c1b588e76ee8420713055ca1dcf116213351a0940214463d/diff:/var/lib/docker/overlay2/90079191de19bae36f3037ef87bf5a6f47e1b6c81830a3cb96dd6d5a3cdf9d27/diff:/var/lib/docker/overlay2/78f0c01cb8669f26a7f437b13284452890b6b62432d17950ccd7be779c3e6d70/diff:/var/lib/docker/overlay2/dc78f2fdb19c9a579f8592881a430362c052b132ba2a4e462c17ae63871710af/diff:/var/lib/docker/overlay2/c9514527e251bb99b8a52b199feb6a5a5b7b66570965f412bd6e3e2e9914f047/diff:/var/lib/docker/overlay2/869c90554854dbb369d4229f2e2c4ef31fc1579e5af8ea4843f3d26d4e17e1ee/diff:/var/lib/docker/overlay2/48dd879855f6eeec32f81bd7c568e4ede0ace6d0124ca24254a055c43d1bc32e/diff:/var/lib/docker/overlay2/5c4da7f2161b714a6194e21b6a51867a4c843c0a6470e5b4d76a724cbc2ad0d1/diff:/var/lib/docker/overlay2/4fa81776d2acab7952e6337257d928375fe7adb96cf20f71be7c870534d91373/diff:/var/lib/docker/overlay2/460c29898f2c3afe8230b8726803cec882b721fb689a414fd5ab45d4945927f1/diff:/var/lib/docker/overlay2/6c55344714a91e174fdf228d0143677085752affdfbb3bee682f27cdaf686c28/diff:/var/lib/docker/overlay2/118f9be7dec4b36f8646041ad003a5a53e3255d4f7504a1565c3a63497f81dbd/diff:/var/lib/docker/overlay2/6a891274815a6ee1f3f2d9943ee992867eb324f6446d3532fbc08d3df77ddb68/diff:/var/lib/docker/overlay2/9c4b7d784de3062e19a48958b3aea27ce13538a46183055c2e2b3501f75eb215/diff:/var/lib/docker/overlay2/22637f535cfc776de6ddb6938afd1cb4eb903f7d9acf531b55254a2e1a32bb56/diff:/var/lib/docker/overlay2/3383feb24224da66603e07a230aa096b502c82b12d8bdcbafa310221c773c184/diff:/var/lib/docker/overlay2/6bf80804b843e7b647d6eb3c6077cb4c1de947f7d0f62e857bcc3c239b9756a9/diff",
"MergedDir": "/var/lib/docker/overlay2/987c44dc0972daf88903cca8543024db3a894c19996a9ce958004c3ed980b7ba/merged",
"UpperDir": "/var/lib/docker/overlay2/987c44dc0972daf88903cca8543024db3a894c19996a9ce958004c3ed980b7ba/diff",
"WorkDir": "/var/lib/docker/overlay2/987c44dc0972daf88903cca8543024db3a894c19996a9ce958004c3ed980b7ba/work"
},
"Name": "overlay2"
},
"RootFS": {
"Type": "layers",
"Layers": [
"sha256:f4f8b983b714f130e2cff99176baa26352db6a55d3622e10ada40f2b4720a4eb",
"sha256:30397027ad83521a240789f494c872644416a4e3a3c44f2efb5bdc4eb457e20f",
"sha256:28b2c2519a708607986b8f9cc0fdd3c481df4c3f4d6730db76bdbce692e8d868",
"sha256:fc765e52b6a7a069d79e6fc708336d622c2cd040a37bae484c64b7edf9f7b5a5",
"sha256:8248b145206a933ab3661b2d10f3e983581fd7aef1ce6c381e8967af9aa54275",
"sha256:eed0266b7cbad4524108ad0a7126c01dad0a17f231802bbfaa24e6bf5b2bdc8c",
"sha256:d7de1ca877994a509ad775ccd0abff17a93eac4c9d5b04671f7efb62983480fc",
"sha256:3cb801d7c5890233e3243905bef7d25fdca26a12808f36512f9da968c4449f1b",
"sha256:35ac98336f50f9b3e514689b3778f3441355b17a3b0ee804df4311693a42ed7b",
"sha256:8db9d01a474372ad5a55113b8280353a55f5b5b44033ed0e31ac8c2d24420ad6",
"sha256:0e48fced5eff4a836ff51d99dd7e21094f0e3bca3ff004c10887c3b88db79428",
"sha256:3f5024f53ac5639e3e6b05c8a84fd7a45631c26361b8bde0b007d3e0e55690de",
"sha256:26a8d77848664af65c381c3bb0a71dbafc134450c99db855d92571e59923d4ac",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:a0197b08e7e729c8c53b521fab7be70b39bed55ed474f84f02b79896cd3a3560",
"sha256:5f70bf18a086007016e948b04aed3b82103a36bea41755b6cddfaf10ace3c6ef",
"sha256:40c145c3fd79dde17cfc5020ee5be24fc268554119872e2b5053928f89aede54",
"sha256:3b4dc136da13c03757aa8526ce614599840631cdf109c46ed0256a840889cfef",
"sha256:6cc28f2de60f6d6fc161594072b04dfb554ddd7b9176173677336c4167d46c39",
"sha256:6c0bbf930831fcd45e5ebff2e4c395b7126048d17cb96d5d8491ab6a5711fd3d",
"sha256:ede1e8ed0fec4abe02683943cbfbece32291ff9bd168f70eba8bff5e27db0a9b"
]
},
"Metadata": {
"LastTagTime": "2026-06-18T18:11:57.654753421+08:00"
}
}