Extract PG-batch core into pg-llm-batch (Apache-2.0, standalone + submodule) (#1)

* feat: pg-llm-batch — standalone + submodule Postgres LLM batch engine

Extract the PG-batch core from xtrmLLMBatchPython into a clean, Apache-2.0
package: pg_tiktoken-backed token counting, token/byte/record-bounded JSONL
batch assembly, and submit/poll/retrieve against an OpenAI-compatible Batch API.

- Relicense extracted core to Apache-2.0 (upstream deps are permissive;
  see NOTICE for provenance).
- Route all config/secrets through Postgres KV stores (com_config / com_secrets,
  optional Fernet-at-rest); env is bootstrap transport only (DSN + Fernet key),
  replacing the upstream ~75 os.getenv reads. DB objects are 2+ word snake_case.
- Standalone CLI (python -m pg_llm_batch submit/poll/retrieve/count-tokens/
  config/health) + Docker Postgres image (pg_tiktoken + pg_cron + http) and
  docker-compose with a /healthz readiness gate.
- pg_cron + pgsql-http batch retrieval/import path preserved.
- Tests: token counting (mocked pg_tiktoken + DB tokenizer lookup), in-memory
  JSONL assembly, submit/poll/retrieve vs a mocked Batch API, KV/secret store;
  plus a marked live-container integration test. 22 passing, DDL validated.
- docs/papers: CC BY 4.0 papers (PagedAttention/vLLM, DeepSpeed-FastGen).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RTAMs4bpSZS77Xe3RQjv9P

* fix(ci): satisfy central coverage-evidence, osv-scan, trivy-fs gates

coverage-evidence (gating):
- Add PEP 735 [dependency-groups].dev (pytest-asyncio, cryptography) so the
  central `uv run ... pytest tests` installs them by default; async batch-client
  tests and the Fernet secret-store test now pass (was 5 failed).
- Make docker/postgres/Dockerfile build with its own directory as context (the
  central job builds each changed Dockerfile with context = its dir): COPY paths
  are now relative, a build-context mirror init/02_schema.sql is added, and
  compose uses context: docker/postgres. Default ENABLE_TIKTOKEN=0 keeps the
  standalone build fast/offline; compose overrides it to 1.

trivy-fs:
- Add non-root USER to both Dockerfiles (DS-0002).
- Pin cryptography>=48.0.1 (GHSA-537c-gmf6-5ccf, vulnerable OpenSSL in wheels
  <48.0.1); uv.lock resolves 49.0.0. requires-python>=3.10 for that resolution.

osv-scan:
- Commit uv.lock as a scannable package source (was "no package sources found");
  osv-scanner reports no issues.

scorecard: add .github/dependabot.yml and SECURITY.md.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RTAMs4bpSZS77Xe3RQjv9P

* fix(ci): add HEALTHCHECK to postgres image (trivy DS-0026)

Clears the last trivy misconfig (all severities) so the trivy-fs scan body is
fully clean; the compose healthcheck still adds the richer pg_tiktoken-aware probe.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01RTAMs4bpSZS77Xe3RQjv9P

* fix(supply-chain): pin executable inputs and remove Medium+ CVEs

* docs(security): publish private reporting and disclosure SLA

* fix(governance): remove stale empty-scaffold agent guidance

* fix(batch): preserve model switches and reach full coverage

* fix(container): preserve Rust toolchain environment

* fix(postgres): keep cargo visible in tokenizer build

* fix(postgres): use supported locked pgrx build flow

* fix(postgres): pin o200k tokenizer source

* fix(postgres): pin compatible o200k tokenizer API

---------

Co-authored-by: Seongho Bae <seonghobae@me.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Co-authored-by: opencode-agent[bot] <219766164+opencode-agent[bot]@users.noreply.github.com>

Author: 4 people

.github/dependabot.yml

@@ -0,0 +1,21 @@
+# SPDX-License-Identifier: Apache-2.0
+# Dependency-update tool config (OSSF Scorecard: Dependency-Update-Tool).
+version: 2
+updates:
+  - package-ecosystem: "pip"
+    directory: "/"
+    schedule:
+      interval: "weekly"
+    open-pull-requests-limit: 10
+  - package-ecosystem: "docker"
+    directory: "/"
+    schedule:
+      interval: "weekly"
+  - package-ecosystem: "docker"
+    directory: "/docker/postgres"
+    schedule:
+      interval: "weekly"
+  - package-ecosystem: "github-actions"
+    directory: "/"
+    schedule:
+      interval: "weekly"

.gitignore

@@ -0,0 +1,8 @@
+.venv/
+__pycache__/
+*.pyc
+*.egg-info/
+build/
+dist/
+.pytest_cache/
+.codegraph/

CLAUDE.md

@@ -0,0 +1,43 @@
+# SPDX-License-Identifier: Apache-2.0
+# pg-llm-batch component image: CLI + /healthz server.
+FROM ghcr.io/astral-sh/uv:0.11.19@sha256:b46b03ddfcfbf8f547af7e9eaefdf8a39c8cebcba7c98858d3162bd28cf536f6 AS uv
+
+FROM python:3.11-slim@sha256:e031123e3d85762b141ad1cbc56452ba69c6e722ebf2f042cc0dc86c47c0d8b3 AS builder
+
+WORKDIR /app
+
+COPY --from=uv /uv /uvx /bin/
+COPY pyproject.toml uv.lock README.md ./
+COPY pg_llm_batch ./pg_llm_batch
+RUN uv sync --frozen --no-dev --no-editable
+
+FROM python:3.11-slim@sha256:e031123e3d85762b141ad1cbc56452ba69c6e722ebf2f042cc0dc86c47c0d8b3
+
+WORKDIR /app
+
+RUN apt-get update && apt-get upgrade -y && \
+    apt-get install -y --no-install-recommends libpq5 curl && \
+    rm -rf /var/lib/apt/lists/* \
+      /usr/local/bin/pip /usr/local/bin/pip3 /usr/local/bin/pip3.11 \
+      /usr/local/lib/python3.11/site-packages/pip* \
+      /usr/local/lib/python3.11/site-packages/setuptools* \
+      /usr/local/lib/python3.11/site-packages/wheel* && \
+    adduser --system --no-create-home appuser
+
+COPY --from=builder /app/.venv /app/.venv
+ENV PATH="/app/.venv/bin:${PATH}"
+
+# Run as a non-root user (trivy DS-0002).
+USER appuser
+
+# Bootstrap transport only: DSN + optional Fernet key are injected as env.
+ENV PG_LLM_BATCH_DSN="" \
+    PG_LLM_BATCH_HEALTH_PORT=8080
+
+EXPOSE 8080
+
+# Container health command hits the same readiness path /healthz serves.
+HEALTHCHECK --interval=15s --timeout=5s --start-period=20s --retries=5 \
+    CMD curl -fsS "http://localhost:${PG_LLM_BATCH_HEALTH_PORT}/healthz" || exit 1
+
+CMD ["sh", "-c", "python -m pg_llm_batch serve-healthz --port ${PG_LLM_BATCH_HEALTH_PORT}"]

Dockerfile

@@ -0,0 +1,202 @@
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LICENSE

@@ -0,0 +1,23 @@
+pg-llm-batch
+Copyright (c) ContextualWisdomLab.
+
+This product is licensed under the Apache License, Version 2.0 (see LICENSE).
+
+Provenance
+----------
+The batch core (token counting, batch assembly/orchestration, and the
+OpenAI-compatible Batch API client) was extracted from the internal
+ContextualWisdomLab project "xtrmLLMBatchPython" and relicensed to Apache-2.0.
+ContextualWisdomLab owns the source; the extracted subset depends only on
+permissively-licensed components and is redistributable under Apache-2.0.
+
+Third-party components used at runtime (not vendored here):
+  - pg_tiktoken           Apache-2.0
+  - tiktoken-rs           MIT
+  - pgrx                  MIT / Apache-2.0
+  - pg_cron               PostgreSQL License
+  - pgvector              PostgreSQL License
+  - pgsql-http            MIT
+  - psycopg (v3)          LGPL-3.0 (dynamically linked; not modified)
+  - aiohttp               Apache-2.0
+  - cryptography          Apache-2.0 / BSD (optional, for secret encryption)