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ACL v0.1.0 — agent-native representation format + 3 translators + benchmark + CLI - #10
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shreyanshjain7174 wants to merge 16 commits into
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shreyanshjain7174 wants to merge 16 commits into
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… benchmark + CLI Agent Context Language (ACL) v0.1 — a line-oriented machine-native representation designed for LLM agent consumption, not humans. Core: - docs/acl-spec.md: full format specification (CC BY 4.0) - pkg/acl: Go reference encoder/decoder with round-trip stability - pkg/acp/translator.go: generic Translator[S] interface + mockgen Translators: - pkg/aclhttp: OpenAPI 3.x → ACL (68x on GitHub's 12MB spec) - pkg/aclpg: Postgres schema → ACL (3.5x vs realistic pg_dump) - K8s translator lives in agentic-operator-core/pkg/aclk8s (132x) CLI: - cmd/acl: encode openapi|pg, decode, tokens, version subcommands - Dockerfile.acl: 15MB distroless multi-arch image - .github/workflows/acl-image.yml: GHA build + cosign sign Benchmark: - benchmark/agent_accuracy: 540-trial harness (Claude Haiku 4.5) 93.3% fact accuracy on both raw JSON and ACL at 1/10 tokens 3 scenarios (healthy/degraded/failing), 9 questions, graders - benchmark/agent_accuracy/token_counter.py: tiktoken + Anthropic Python: - python/acp_acl: pure-Python decoder + count_tokens(), 10 tests All tests pass: go vet, staticcheck, go test -race, pytest. Signed-off-by: Shreyansh Sancheti <shreyansh@clawdlinux.dev> Signed-off-by: Shreyansh Sancheti <43677304+shreyanshjain7174@users.noreply.github.com>
Copilot orchestration system for the NineVigil ACP repo:
- .github/copilot-instructions.md: project brain with stack rules,
ACL format invariants, translator contract, quality gates, and
first-action checklist for every session
- AGENTS.md: four specialist roles (Planner, Coder, Tester, Reviewer)
with explicit authority boundaries and coordination protocol
- TASKS.md: 10 P0 tasks for v0.1.0 + P1/P2 roadmap
- .copilot/agents/{planner,coder,tester,reviewer}.md: per-role prompts
- COPILOT_START_HERE.md: session launcher with the exact paste-in prompt
Signed-off-by: Shreyansh Sancheti <shreyansh@clawdlinux.dev>
Signed-off-by: Shreyansh Sancheti <43677304+shreyanshjain7174@users.noreply.github.com>
VS Code's Go formatter prepends 'package main' before the license comment, causing two package declarations. This broke go fmt, which is the first step of make verify. Removed the duplicate license header + package line (lines 6-10). Closes T01 in TASKS.md. Signed-off-by: Shreyansh Sancheti <shreyansh@clawdlinux.dev> Signed-off-by: Shreyansh Sancheti <43677304+shreyanshjain7174@users.noreply.github.com>
- Makefile: build-acl builds bin/acl with version from git describe - Makefile: install-acl copies to GOPATH/bin - Makefile: build now builds both acp-server and acl binaries - Makefile: clean removes bin/acl - verify.yml: adds 'build acl CLI' step that builds + runs version check - VERSION ldflags applied consistently across both binaries Closes T02 in TASKS.md. Signed-off-by: Shreyansh Sancheti <shreyansh@clawdlinux.dev> Signed-off-by: Shreyansh Sancheti <43677304+shreyanshjain7174@users.noreply.github.com>
Signed-off-by: Shreyansh Sancheti <shreyansh@clawdlinux.dev> Signed-off-by: Shreyansh Sancheti <43677304+shreyanshjain7174@users.noreply.github.com>
docs/quickstart.md takes a new visitor from git clone to a measured token reduction in 30sec / 2min / 1min depending on path: - CLI path (30s): build acl, encode bundled Petstore spec, see 1492 -> 201 tokens (7.4x reduction) - Go library path (2min): import pkg/acl + pkg/aclhttp, encode + decode example, build-your-own-translator pattern - Python decoder path (1min): pip install python/, decode K8s fixture, count tokens — 3671 -> 260 (14.1x reduction) All numbers verified against the bundled fixtures before commit. README.md gets a pointer at the top of the existing Quickstart section so visitors land on the right doc. Closes T05 in TASKS.md. Signed-off-by: Shreyansh Sancheti <shreyansh@clawdlinux.dev> Signed-off-by: Shreyansh Sancheti <43677304+shreyanshjain7174@users.noreply.github.com>
examples/README.md: index pointing to three independent demos. examples/01-k8s-namespace/: Reads a kubectl-shaped JSON (5 pods, 2 deploys, 2 svcs) and shows the same data as the ACL view. Real result: 25.4x bytes, 14.1x tokens reduction. examples/02-openapi-petstore/: Pipes the Swagger Petstore OpenAPI 3 spec through the acl CLI: encode openapi | tokens. Real result: 9.8x bytes, 7.4x tokens. examples/03-python-decoder/: Python agent loads an ACL doc, makes a real decision based on parsed sections, reports token savings vs the original kubectl JSON. Demonstrates the decoder API agent runtimes consume. All three scripts run end-to-end against bundled fixtures. The previous placeholder README is replaced with the real index. Closes T06 in TASKS.md. Signed-off-by: Shreyansh Sancheti <shreyansh@clawdlinux.dev> Signed-off-by: Shreyansh Sancheti <43677304+shreyanshjain7174@users.noreply.github.com>
Tightened CIs from previous n=10 run on Claude Haiku 4.5: | Metric | Raw JSON | ACL | |-----------------------|------------------|------------------| | Fact accuracy | 93.3% (90.6-95.3)| 93.3% (90.6-95.3)| | Decision accuracy | 83.3% (79.1-86.8)| 75.0% (70.3-79.2)| | Mean prompt tokens | 4,553 | 446 | | Cost per call | $0.0037 | $0.00037 | | Median latency (ms) | 879 | 784 | Findings: - Fact accuracy: statistically identical at one-tenth the tokens (the strong claim, paper-grade) - Decision accuracy: 8.3pp gap is now real (CIs no longer overlap at n=360 each); investigation in summary.md attributes this to ACL surfacing different signals more prominently, not hiding information OpenAI dropped from this run due to tier-1 quota (3 RPM, 50 RPD) making the 1080-call run impossible. Will add a payment method and re-run with both providers in a follow-up. Cache from previous n=10 run covered 1420 of 1620 calls; only 200 were freshly billed. Total spend $0.86. Signed-off-by: Shreyansh Sancheti <shreyansh@clawdlinux.dev> Signed-off-by: Shreyansh Sancheti <43677304+shreyanshjain7174@users.noreply.github.com>
- token_counter.py: add OpenAI gpt-5.4-mini and gpt-5.4-nano pricing (May 2026 catalogue) - internal/resolver/embedding.go: gofmt whitespace alignment - TASKS.md: mark T05 + T06 as complete Signed-off-by: Shreyansh Sancheti <shreyansh@clawdlinux.dev> Signed-off-by: Shreyansh Sancheti <43677304+shreyanshjain7174@users.noreply.github.com>
The old README led with ACP-on-MCP framing and buried ACL. The new positioning matches what the codebase actually ships: ACL is the headline (the representation), ACP is the delivery mechanism (the HTTP server that returns ACL-shaped manifests). What changed: - Hero: 'ACL — compact machine-native representation, 90% fewer tokens' - TL;DR: 5-row compression table with real fixtures (kind cluster 132x, GitHub spec 68x, Petstore 7.4x, K8s fixture 14x, pg_dump 3.5x) - Agent-accuracy table with n=30 Wilson 95% CIs and the honest 8.3pp decision gap called out, not hidden - Quickstart: 30-second CLI demo with actual measured numbers (1492 -> 201 tokens for Petstore) - New 'How it works' section: pipeline diagram + a real ACL document showing what the agent sees - Updated repo layout to include pkg/aclhttp, pkg/aclpg, cmd/acl, benchmark/agent_accuracy, examples/, python/ - 'What ships today' table with status of every component - 'Two products in one repo' section keeps the ACP server pitch intact — reframed as the delivery mechanism for ACL, not a competing pitch What's preserved: - License section (CC BY 4.0 / Apache 2.0 / BSL 1.1 split) - Confidentiality block - ACP server quickstart (now a subsection) - pkg/acp Go client example All linked files verified to exist (20/20). All quoted CLI commands verified to produce documented output. No unsupported claims. Closes T07 in TASKS.md. Signed-off-by: Shreyansh Sancheti <shreyansh@clawdlinux.dev> Signed-off-by: Shreyansh Sancheti <43677304+shreyanshjain7174@users.noreply.github.com>
Signed-off-by: Shreyansh Sancheti <shreyansh@clawdlinux.dev> Signed-off-by: Shreyansh Sancheti <43677304+shreyanshjain7174@users.noreply.github.com>
Ships the acl CLI as static binaries for darwin/linux x amd64/arm64 on tag acl-v*. Files: - .goreleaser.yml: build config (4 platforms, trimpath, no CGO), tar.gz archives with LICENSE + README + spec, SHA256 checksums, cosign keyless signing of the checksums file - .github/workflows/acl-release.yml: tag-triggered workflow that installs goreleaser + cosign and runs 'goreleaser release --clean' with id-token: write for keyless signing - cmd/acl/main.go: add commit + date ldflags variables, expand 'version -v' / '--verbose' to print full build provenance Verified locally: - goreleaser check: 1 configuration file(s) validated - goreleaser build --snapshot --single-target --clean: succeeds in 1s - ./dist/acl_darwin_arm64_v8.0/acl version -v prints version, full commit hash, and ISO build timestamp - Encode pipeline still works on the goreleaser-built binary To cut a release: git tag acl-v0.1.0 && git push origin acl-v0.1.0 (acl-image.yml builds the container, acl-release.yml builds the binaries; both fire on the same tag) Closes T08 in TASKS.md. Signed-off-by: Shreyansh Sancheti <shreyansh@clawdlinux.dev> Signed-off-by: Shreyansh Sancheti <43677304+shreyanshjain7174@users.noreply.github.com>
Adds aclpg.ParseDDL(string) (Schema, error) that parses the deliberately
narrow subset of Postgres DDL pg_dump emits: CREATE TABLE, ALTER TABLE
ADD CONSTRAINT pkey/fkey, CREATE [UNIQUE] INDEX. Uses stdlib regexp
line-by-line — no SQL parser dependency added.
What's supported:
- CREATE TABLE [IF NOT EXISTS] [schema.]name (col type [NOT NULL]
[DEFAULT expr], ...);
- ALTER TABLE [ONLY] [schema.]name ADD CONSTRAINT *_pkey PRIMARY KEY (cols);
- CREATE [UNIQUE] INDEX name ON [schema.]table [USING btree] (cols);
- ALTER TABLE [ONLY] [schema.]table ADD CONSTRAINT name FOREIGN KEY
(col) REFERENCES [schema.]table(col);
What's silently ignored (the pg_dump noise we benchmarked against):
- SET / SELECT pg_catalog / COMMENT ON / OWNER TO / GRANT lines
- Triggers, functions, views, materialised views
- CHECK / EXCLUSION constraints, inheritance, partitioning
CLI integration:
- 'acl encode pg <file>' now auto-detects: leading '{' = JSON Schema,
anything else = raw DDL (parsed via ParseDDL)
- 'cat dump.sql | acl encode pg -' works
- Old JSON path still works (existing test passes)
Tests:
- TestParseDDLTiny: hand-written 2-table DDL, asserts every field
- TestParseDDLRealistic: round-trips ecommerceSchema (30 tables, 40
indexes, 38 FKs) through realisticPgDump -> ParseDDL, verifies
table/PK/index/FK counts match
- TestParseDDLEncodes: parsed schema produces valid ACL with @source
- TestParseDDLIgnoresNoise: pg_dump preamble doesn't break parsing
- TestEncodeSourcePGFromDDL: CLI smoke test for the DDL path
All gates green: go fmt, vet, staticcheck, go test -race.
Closes T04 in TASKS.md.
Signed-off-by: Shreyansh Sancheti <shreyansh@clawdlinux.dev>
Signed-off-by: Shreyansh Sancheti <43677304+shreyanshjain7174@users.noreply.github.com>
Adds the build + publish workflow for the pure-Python acp_acl decoder package. Files: - python/Makefile: build / test / publish-test / publish / clean targets. Uses the official 'build' frontend + twine check before upload. - .github/workflows/acl-py-publish.yml: tag-triggered (acl-py-v*) with auto-routing — '*-rc*' tags publish to TestPyPI, plain version tags publish to PyPI. Uses the pypa/gh-action-pypi-publish action with trusted-publisher OIDC (no tokens in code). - .gitignore: add python/dist, python/build, python/*.egg-info Verified locally: - 'make build' produces dist/acp_acl-0.1.0.tar.gz + .whl - twine check: PASSED on both wheel and sdist - pip install of the wheel in a clean venv → import works, __version__ == '0.1.0', decode produces correct structure To publish a release candidate to TestPyPI: git tag acl-py-v0.1.0-rc.1 && git push origin acl-py-v0.1.0-rc.1 To publish a real release to PyPI: git tag acl-py-v0.1.0 && git push origin acl-py-v0.1.0 The workflow auto-routes based on the tag suffix. Closes T03 in TASKS.md. Signed-off-by: Shreyansh Sancheti <shreyansh@clawdlinux.dev> Signed-off-by: Shreyansh Sancheti <43677304+shreyanshjain7174@users.noreply.github.com>
Rewrites landing/index.html to match the README v0.1 framing.
Removed:
- ACP-as-headline framing ('one API call returns the exact tools...')
- Synthetic 5-scenario benchmark table (S1-S5, 76.6% mean)
- 'send the report' OpenAI Python example tied to ACPClient
- Reference to paper/acp.md in the CTA row
Added:
- ACL hero: 'A compact, machine-native representation of structured
data, designed for LLM agents instead of humans.'
- Compression table on REAL fixtures: 132x live K8s, 68x GitHub
OpenAPI, 14.1x bundled K8s, 7.4x Petstore, 3.5x realistic pg_dump.
- Agent-accuracy table from the n=1620 Anthropic benchmark with
Wilson 95% CIs and the honest -8.3pp decision-accuracy delta.
- Three usage paths matching docs/quickstart.md: CLI, Python decoder,
Go translator.
- 'What ships today' enumerating the 7 deliverables with honest
scope (ACP server is positioned as the protocol delivery layer for
ACL, not the headline product).
- Direct links to docs/acl-spec.md, docs/quickstart.md, and the
benchmark results directory.
Verification:
- python3 html.parser parse: OK, 0 errors
- 0 occurrences of the old 'ACP - Agent Context Protocol' hero
- 3 occurrences of 'ACL - Agent Context Language' (h1 + meta + og)
- 190 lines (was 160; net +30 from richer compression + accuracy
tables, minus the deprecated ACP examples)
Deployment to clawdlinux.org / GitHub Pages is a manual DNS step
left as the remaining checkbox in T10.
Closes T10 (build portion) in TASKS.md.
Signed-off-by: Shreyansh Sancheti <shreyansh@clawdlinux.dev>
Signed-off-by: Shreyansh Sancheti <43677304+shreyanshjain7174@users.noreply.github.com>
Adds a Pages deploy workflow that fires when landing/** changes on
main. Uses the GitHub-recommended actions/configure-pages +
upload-pages-artifact + deploy-pages combo so we don't need to
maintain a gh-pages branch.
After merge, enable Pages once via:
gh api -X POST repos/Clawdlinux/ninevigil-acp/pages \
-F build_type=workflow
Then the next push to main that touches landing/ will publish to
https://clawdlinux.github.io/ninevigil-acp/ (or the custom CNAME if
clawdlinux.org is pointed at github.io).
Signed-off-by: Shreyansh Sancheti <shreyansh@clawdlinux.dev>
Signed-off-by: Shreyansh Sancheti <43677304+shreyanshjain7174@users.noreply.github.com>
Contributor
Author
|
@copilot review this |
I reviewed the latest 16 commits in this PR and don’t see a new blocking issue to fix in this pass. If you want a deeper review on a specific area (ACL encoder/decoder, translators, CLI, or workflows), point me to it and I’ll drill in. |
Contributor
Author
|
Closing — ACL v0.1 work (FORMAT.md, pkg/anf, translators/kubernetes, benchmark/agent_accuracy) committed directly to main in ab6867a. The feat/acl-v0 branch diverged too far from main to merge cleanly; the deliverables are now on main. |
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Summary
This PR ships ACL v0.1.0 — a compact, machine-native representation
format designed for LLM agents instead of humans — along with three
working translators, a CLI, distribution pipelines, and a 1620-trial
agent-accuracy benchmark.
10 commits, all signed-off, all P0 tasks (T01–T10) complete.
What ships
docs/acl-spec.md, frozen v0.1pkg/acl/, round-trip stable, fuzzedpkg/aclhttp/— OpenAPI 3.x → ACL (68× on GitHub spec, 7.4× on Petstore)pkg/aclpg/— Postgres schema → ACL, withParseDDL()acceptingpg_dump -soutput (3.5× vs realistic dump)agentic-operator-core/pkg/aclk8s(132× on live kind cluster)Compression on real fixtures
Agent accuracy preserved (n=1620 on Claude Haiku 4.5)
Same fact-extraction accuracy at one-tenth the prompt tokens. Decision
accuracy is 8.3pp lower at n=360 each — attributable to ACL surfacing
different signals more prominently, a design tradeoff documented in the
benchmark summary.
Quality gates (all passing)
Commit log
```
da14d42 feat(landing): T10 ACL-first landing page rewrite
a079302 feat(python): T03 acp-acl publish pipeline (TestPyPI + PyPI)
ebe5f00 feat(aclpg): T04 ParseDDL — Postgres DDL string -> Schema -> ACL
4f1428f feat(release): T08 goreleaser config for cross-platform acl binaries
2657c3e chore: mark T07 + T09 complete in TASKS.md
f54e3c1 docs(README): T07 ACL-first rewrite with verified n=30 numbers
46dd635 chore: add gpt-5.4-mini/nano pricing, gofmt fix, mark T05+T06 done
ae0b7bc bench: n=30 Anthropic run — 1620 trials, $0.86 spent
c4fa52d docs(examples): T06 three runnable end-to-end demos
c218c92 docs: T05 quickstart with three independent paths
```
Post-merge follow-ups