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Author SHA1 Message Date
bbc2daea4a Merge pull request 'feat(claude-code): T4 host-root escalation leg + real tier-4 conformance gate (RFC internal#456 §9-11)' (#25) from feat/t4-escalation-leg-claude-code into main
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2026-05-16 20:06:37 +00:00
12dd60413d feat(claude-code): T4 host-root escalation leg + real tier-4 conformance gate (RFC internal#456 §9-11)
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T4 currently ships only the provisioner privileged-container shape;
the in-image uid-1000 agent has NO wired path to host root inside
--privileged --pid=host -v /:/host (--privileged grants caps to root,
not uid-1000; root:docker 0660 docker.sock unusable). This adds the
ADDITIVE escalation leg, preserving the uid-1000 + agent-owned-token
contract:

- Dockerfile: bake sudo + util-linux(nsenter) + docker.io CLI;
  /etc/sudoers.d/agent-t4 `agent ALL=(ALL) NOPASSWD:ALL` (0440,
  visudo-validated at build); `agent` in `docker` group. useradd
  -u 1000 + `exec gosu agent` UNCHANGED — agent stays uid-1000.
- entrypoint.sh: document the agent-owned-token half of the §10
  atomic co-sequencing contract on the existing `chown -R agent
  /configs` (token ownership NOT regressed).
- ci.yml: new `t4-conformance` job — NOT a string-match. Builds the
  real image, runs it under the EXACT controlplane tier-4 flags, and
  asserts on the RUNNING container, atomically: (a) the uid-1000
  agent attains host root (sudo nsenter --target 1 + host-fs
  write/readback through /host) AND (b) /configs/.auth_token
  owner_uid==1000. Wired into the required `validate` aggregator and
  fails closed (no skip except fork-PR short-circuit).

RFC internal#456 §9-11 / PR#474. Atomic per §10: uid-1000 enforcement
and the escalation leg ship in this one image revision.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-16 11:44:43 -07:00
c93214e4e0 Merge pull request 'feat(claude-code): route Kimi K2.6 to api.kimi.com/coding per official spec' (#24) from feat/kimi-k2.6-claude-code-routing into main
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2026-05-16 12:50:17 +00:00
66e3b7edb3 feat(claude-code): route Kimi K2.6 to api.kimi.com/coding per official spec
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Kimi (Kimi-For-Coding / K2.6) was structurally unreachable from the
claude-code runtime: the `kimi-` model prefix matched the `moonshot`
provider, which set ANTHROPIC_BASE_URL=https://api.moonshot.ai/anthropic
and projected KIMI_API_KEY -> ANTHROPIC_AUTH_TOKEN. Both are wrong per
kimi.com's official Claude Code integration doc
(kimi.com/code/docs/en/third-party-tools/other-coding-agents.html):
  - the sk-kimi-* key (KIMI_API_KEY in SSOT) authenticates ONLY against
    https://api.kimi.com/coding/ — the legacy api.moonshot.ai/anthropic
    surface 401s it (invalid_authentication_error);
  - that gateway authenticates with the x-api-key header, which the
    Anthropic SDK / claude CLI emits from ANTHROPIC_API_KEY, NOT the
    Bearer ANTHROPIC_AUTH_TOKEN.

So a Kimi pick on claude-code 401'd every LLM call.

Fix (config + minimal adapter, scoped to this template — adapter.py and
config.yaml are template-local, COPY'd in the Dockerfile; zero blast
radius on other runtimes):

- config.yaml: repoint the existing kimi- provider entry (renamed
  moonshot -> kimi-coding) to base_url https://api.kimi.com/coding/
  (trailing slash, per the doc) and add a new optional per-provider
  field `auth_token_env: ANTHROPIC_API_KEY` so the boot-time vendor-key
  projection writes KIMI_API_KEY into ANTHROPIC_API_KEY (x-api-key)
  instead of the default ANTHROPIC_AUTH_TOKEN (Bearer). Renaming the
  existing entry (vs adding a parallel one) keeps the kimi- model-prefix
  matcher working with the least change; still 7 providers total.
- config.yaml: add a selectable "Kimi K2.6" model catalog entry
  (id kimi-for-coding — the gateway's own served-model name, mirroring
  the proven OpenClaw kimi-for-coding route; the gateway routes to K2.6
  regardless of the wire model id). kimi-k2.5 / kimi-k2 retained as
  aliases hitting the same gateway for back-compat.
- adapter.py: _normalize_provider parses the optional `auth_token_env`
  (default ANTHROPIC_AUTH_TOKEN — preserves MiniMax/GLM/DeepSeek
  behavior bit-for-bit); _project_vendor_auth projects into that
  per-provider target and is idempotent on it (explicit operator value
  still wins).

Wire-verified before commit: POST https://api.kimi.com/coding/v1/messages
with x-api-key=<SSOT KIMI_API_KEY> + anthropic-version + claude-cli UA
-> HTTP 200, model=kimi-for-coding, real completion. The shipped routing
produces exactly this wire shape.

Tests: added 4 tests (Kimi -> ANTHROPIC_API_KEY projection, operator
override idempotency, _normalize_provider auth_token_env parse,
prevalidate routing matrix incl. kimi-for-coding); updated the
moonshot-named fixtures/assertions to the new kimi-coding contract.
Full suite 85 passed.
2026-05-16 04:56:49 -07:00
5bc87ea75d Merge pull request 'ci: port secret-scan + publish-image workflows to .gitea/ (T4 close-out)' (#22) from feat/port-secret-scan-and-publish-image-workflows into main
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2026-05-15 23:28:58 +00:00
73827045bc ci: port secret-scan + publish-image workflows to .gitea/ (T4 close-out) (#22)
Co-authored-by: infra-sre <infra-sre@agents.moleculesai.app>
Co-committed-by: infra-sre <infra-sre@agents.moleculesai.app>
2026-05-15 23:23:47 +00:00
38353e9a4f ci: port secret-scan + publish-image workflows to .gitea/ (T4 close-out)
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The .github/workflows/ tree is silently shadowed on this repo because
.gitea/workflows/ exists (reference_molecule_core_actions_gitea_only) —
so both files were never firing on Gitea Actions:

- Secret scan / Scan diff for credential-shaped strings is a required
  status-check on main branch protection; until now it has been satisfied
  only via a compensating signed POST /statuses/{SHA}. Porting restores
  the gate.
- publish-image was dormant, so the claude-code template image stayed
  stale and never rebuilt against new runtime versions. After this port
  the cascade signal (molecule-core/publish-runtime.yml git-pushes
  .runtime-version to main) trips on: push: branches: [main] here and
  pushes ECR :latest + :sha-<7> to
  153263036946.dkr.ecr.us-east-2.amazonaws.com/molecule-ai/workspace-template-claude-code.

Both files copy the canonical Gitea-ported shape verbatim from
molecule-core and molecule-ai-workspace-template-hermes respectively
(only repo-specific identifiers — image name + descriptions — adjusted).
Gitea 1.22.6 hostile-shape constraints already baked in:
  - no workflow_dispatch.inputs (feedback_gitea_workflow_dispatch_inputs_unsupported)
  - no cross-repo uses: (feedback_gitea_cross_repo_uses_blocked)
  - no on.push.paths: (feedback_path_filtered_workflow_cant_be_required)
  - GITHUB_SERVER_URL pinned at workflow level
    (feedback_act_runner_github_server_url)

T4 close-out — Hongming authorized direct merge.
2026-05-15 15:44:47 -07:00
8bcc19c38e fix(claude-code): chown idempotency + settings.json stub + CLAUDE.md T4 note (#21)
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T4-tier workspace owner permission regression on /home/agent/.claude/ ownership.

Entrypoint now creates well-known subdirs idempotently and runs chown unconditionally. Stubs ~/.claude/settings.json so introspection works. Adds T4 CLAUDE.md note documenting host-control semantics + new MCP tool surface (get_runtime_identity / update_agent_card — tools land via molecule-core monorepo route, not this template).

CI: 8/8 green.
Compensating Secret-scan status posted by core-devops review #3874 (workflow file only present in .github/, which is shadowed by .gitea/ on this repo). Follow-up: port secret-scan.yml to .gitea/workflows/.

Reviewed-by: core-devops
Merged-by: devops-engineer (BP merge whitelist)
2026-05-15 21:47:08 +00:00
fullstack-engineer
47263db7ad fix(claude-code): chown idempotency + settings.json stub + T4 ownership note
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Secret scan / Scan diff for credential-shaped strings (pull_request) Manual scan — no credential-shaped strings in diff. Workflow exists only at .github/workflows/secret-scan.yml; this repo uses .gitea/workflows/ so workflow does not fire. Filed by core-devops review #3874 with audit trail.
Closes the three template-side gaps in the T4-tier workspace owner
permission report:

1. entrypoint.sh chown idempotency.
   The chown of /home/agent/.claude was previously only fired inside
   the `if [ -d /root/.claude/sessions ]` guard. On first boot that's
   harmless — entrypoint creates the dir and the chown lands. But on
   second boot with a populated host volume (which T4 always has,
   because the workspace dir is bind-mounted for persistence) the dir
   may already be root-owned from a prior boot or from a newer
   claude-code release writing subdirs the entrypoint didn't pre-create.
   Result: uid-1000 agent EPERMs on every settings/session write,
   surfaced to the canvas as a generic Bash "permission restrictions"
   failure. Fix: pre-create sessions/ and session-env/, and run the
   chown unconditionally — idempotent + fast on small trees.

2. ~/.claude/settings.json stub.
   The Dockerfile + entrypoint never created this file. The agent's
   `cat ~/.claude/settings.json` correctly reported "No such file or
   directory" and the agent then assumed the workspace had no operating
   mode. Stub a minimal informational settings.json documenting that
   permission_mode='bypassPermissions' is the canonical mode (set
   programmatically in claude_sdk_executor.py — the file is NOT the
   source of truth, the SDK kwargs are). Idempotent: existing file is
   left alone.

3. CLAUDE.md — T4 ownership documentation.
   Add a "Workspace ownership tier — T4" section so the agent knows
   it has full host control and how to recover from EPERM if the
   ownership ever drifts. Add a "Knowing your own model" section
   pointing at the new `get_runtime_identity` MCP tool (shipped in
   molecule-ai-workspace-runtime 0.1.18) and an "Editing your own
   agent_card" section pointing at the new `update_agent_card` MCP
   tool.

Test plan:
- sh -n + bash -n on entrypoint.sh → syntax OK.
- Idempotency probe: ran the chown/mkdir/stub fragment twice on a
  scratch tmpdir; second run does NOT overwrite a tampered
  settings.json, dirs already-existing is a `mkdir -p` no-op.
- pytest tests/ → 81 passed (baseline maintained).

Follow-up:
- Bump .runtime-version to 0.1.18 in a follow-up PR after the runtime
  wheel hits PyPI via the publish workflow.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-15 14:28:57 -07:00
43a86d44da Merge pull request 'fix(ci): port CI/validate to .gitea/ + inline (closes main-red)' (#17) from infra/main-red-fix-ci-validate into main
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2026-05-11 19:53:44 +00:00
c2a0bdea96 fix(ci): port CI/validate to .gitea/ + inline (closes main-red)
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Class-A root fix for internal#326 (main-red sweep). The .github/ci.yml
used cross-repo `uses:` to molecule-ci/.github/workflows/validate-workspace-template.yml@main,
which Gitea 1.22.6 rejects (DEFAULT_ACTIONS_URL=github → 404, per
feedback_gitea_cross_repo_uses_blocked). Because Gitea 1.22.6 reads
.github/ as a fallback when .gitea/ is absent
(reference_per_repo_gitea_vs_github_actions_dir), the .github/ workflow
was firing and failing at parse time in 1s.

Fix: inline the validate-workspace-template logic directly. The canonical
validator in molecule-ci already self-clones into the runner via
`git clone --depth 1 https://git.moleculesai.app/molecule-ai/molecule-ci.git`,
so the inline port preserves single-source-of-truth — every CI run still
fetches the canonical validator script fresh.

Shape preserved from the source workflow:
  - validate-static (always runs, including fork PRs): secret-scan +
    --static-only validator
  - validate-runtime (skipped on fork PRs for security): pip install
    requirements.txt + import adapter.py + docker build smoke test
  - validate (aggregator): emits the single `validate` check name that
    historically gates branch protection
  - tests: per-repo adapter unit tests (preserved verbatim from
    .github/ci.yml)

Gitea 1.22.6 compat additions:
  - env.GITHUB_SERVER_URL=https://git.moleculesai.app (workflow-level
    belt-and-suspenders per feedback_act_runner_github_server_url)
  - permissions: contents: read (defense-in-depth on GITHUB_TOKEN scope,
    matching the source workflow_call's permission posture)
  - actions/checkout pinned to SHA (v6.0.2) per molecule-core canonical
    port style

The .github/ original is preserved verbatim for future GitHub-mirror
compatibility (no behaviour change there).

Refs: internal#326
2026-05-11 12:30:26 -07:00
d2585700f5 fix(adapter): mirror provider alias map onto YAML path (#12)
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[FORCE-MERGE AUDIT — §SOP-7] hongming chat-go ("do both") in transcript ~03:54 UTC 2026-05-10. Closes provider-registry wedge that blocked all claude-code workspaces with NOT_CONFIGURED. Live-patched on staging-cplead-2 via SSM 03:46-ish; this is the durable bake-in. 81 tests pass + 3 new regression tests.
2026-05-10 03:51:28 +00:00
Claude CEO Assistant
aaa2a79e81 fix(adapter): alias-map yaml_provider for runtime-wheel default
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The molecule-runtime wheel auto-derives `runtime_config.provider =
"anthropic"` from its default model slug `anthropic:claude-opus-4-7`
when the per-workspace YAML omits both fields. The adapter receives
that derived `anthropic` as `yaml_provider` and rejects it because the
providers registry only knows `anthropic-oauth` / `anthropic-api`. The
existing alias map (`anthropic` → `anthropic-api`,
`claude-code` → `anthropic-oauth`) was applied only on the env-var
path; mirroring it on the YAML path resolves the wheel default to a
registered provider name.

Symptom on staging-cplead-2 (2026-05-09): every workspace booted with
`configuration_status=not_configured` and
`configuration_error="ValueError: claude-code adapter: workspace
config picks provider='anthropic' but it is not in the providers
registry"`. Live-patched the running cp-lead workspaces to confirm the
fix; this commit lands the durable change in the template repo so
freshly-provisioned workspaces don't repeat the wedge.

Tests:
  - test_yaml_provider_anthropic_is_aliased_to_anthropic_api (regression)
  - test_yaml_provider_claude_code_is_aliased_to_anthropic_oauth (symmetry)
  - test_yaml_provider_unknown_passes_through_for_actionable_error
    (guards the silent-fallback bug from #180; unaliased unknowns must
    still reach _resolve_provider so it raises with the helpful
    "Known providers: ..." message)

All 81 tests pass locally.

Refs: staging-cplead-2 incident 2026-05-09
Live-patched workspaces: 941a929e, 99de7cab, a8ba9dc8, a00e74df

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-09 20:46:02 -07:00
4b038f2947 Merge pull request 'fix(adapter): map persona-friendly slugs (claude-code, anthropic) to registry names' (#10) from fix/dispatch-alias-map-followup into main
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2026-05-08 21:24:27 +00:00
8adc3576fd fix(adapter): map persona-friendly slugs (claude-code, anthropic) to registry names
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Phase 4 verification surfaced a follow-up edge case the initial fix missed:
the persona env files use friendlier slugs than the registry's canonical names:
  * MODEL_PROVIDER=claude-code  -> anthropic-oauth (Claude Code subscription)
  * MODEL_PROVIDER=anthropic    -> anthropic-api  (direct Anthropic API key)

Without an alias map, a lead workspace's MODEL_PROVIDER=claude-code env
fell through the slug-detection path; when the YAML didn't pin a
provider, the model-prefix matcher saw MODEL=MiniMax-M2.7 and routed the
lead to MiniMax — even though CLAUDE_CODE_OAUTH_TOKEN was clearly the
intended auth path.

Add _PROVIDER_SLUG_ALIASES with the two operator-facing slugs that don't
match registry names verbatim. The alias map is consulted before the
slug-vs-legacy detection, so claude-code now resolves to anthropic-oauth
and the lead boots through OAuth as intended.

Tests
-----
+ test_persona_env_lead_with_minimax_model_routes_via_oauth — lock in
  the alias-map behavior so a future contributor can't silently re-introduce
  the lead-mis-routed-to-MiniMax bug.
+ test_anthropic_alias_resolves_to_anthropic_api — covers the second
  alias path.

Updated test_persona_env_lead_claude_code_resolves_correctly to assert
the new (correct) behavior: provider == 'anthropic-oauth', not None.

Full adapter suite: 78/78 pass.
2026-05-08 14:23:59 -07:00
134ba7f82c fix(adapter): honor MODEL/MODEL_PROVIDER env (persona-env convention) (#9)
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Fix 2026-05-08 dev-tree wedge: 22/27 non-lead workspaces stuck at SDK initialize timeout because MODEL_PROVIDER=minimax was read as model id instead of provider slug.
2026-05-08 21:12:21 +00:00
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name: CI
# Ported from .github/workflows/ci.yml on 2026-05-11 per internal#326
# (Class-A root: cross-repo `uses:` blocker for Gitea 1.22.6 —
# feedback_gitea_cross_repo_uses_blocked).
#
# Root cause of the main-red CI on this repo:
# The .github/ original used
# uses: molecule-ai/molecule-ci/.github/workflows/validate-workspace-template.yml@main
# which Gitea 1.22.6 rejects (DEFAULT_ACTIONS_URL=github → 404 against
# the remote repo even though it lives on the same Gitea instance).
# Gitea reads .github/ as a fallback when .gitea/ is absent
# (reference_per_repo_gitea_vs_github_actions_dir), so the .github/
# workflow was firing on Gitea and failing in 1s.
#
# Fix shape: inline the validation logic directly. The canonical
# validator in molecule-ai/molecule-ci already self-clones into the
# runner via a direct HTTPS `git clone` step (validate-workspace-template.yml
# does this verbatim) — so the inline port is just "do that clone +
# invoke the validator script in-place", preserving the
# single-source-of-truth property (each CI run still fetches the
# canonical validator fresh).
#
# Four-surface migration audit (feedback_gitea_actions_migration_audit_pattern):
# 1. YAML — no `workflow_dispatch.inputs`; no `merge_group`; preserved
# `on: [push, pull_request]` from the original. Added workflow-level
# env.GITHUB_SERVER_URL (feedback_act_runner_github_server_url).
# 2. Cache — `actions/setup-python` `cache: pip` preserved; works against
# Gitea's built-in cache server when runner.cache is configured.
# 3. Token — uses auto-injected GITHUB_TOKEN (Gitea-aliased). Validator
# job needs only `contents: read` (no write to issues/PRs).
# 4. Docs — anonymous git-clone of molecule-ci (no token in URL); the
# molecule-ci repo is public on the Gitea instance.
#
# Fork-PR semantics: validate-runtime is intentionally skipped on fork
# PRs because pip-install + docker-build + adapter-import are arbitrary
# code execution. Internal PRs and main pushes get full coverage. The
# `github.event.pull_request.head.repo.fork` field is null for non-PR
# events; the `!= true` comparison defaults to running.
#
# Cross-links:
# - internal#326 — parent tracking issue
# - molecule-ai/molecule-ci/.github/workflows/validate-workspace-template.yml — pattern source
# - molecule-ai/molecule-core/.gitea/workflows/ci.yml — Gitea port style reference
on: [push, pull_request]
env:
# Belt-and-suspenders against the runner-default trap
# (feedback_act_runner_github_server_url). Runners are configured
# with this env via /opt/molecule/runners/config.yaml runner.envs,
# but pinning at the workflow level protects against a runner
# regenerated without the config file.
GITHUB_SERVER_URL: https://git.moleculesai.app
# Defense-in-depth on the GITHUB_TOKEN scope. The validate-runtime job
# runs untrusted-by-design code from the calling repo — pip-installs
# requirements.txt (post-install hooks), imports adapter.py, and
# docker-builds the Dockerfile. Each primitive can execute arbitrary
# code with the token in env. Pinning `contents: read` means the worst
# a malicious template PR can do with the token is read public repo
# state — no write to issues, no push to branches, no comment-spam.
permissions:
contents: read
jobs:
validate-static:
name: Template validation (static)
runs-on: ubuntu-latest
timeout-minutes: 5
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
# Canonical validator script lives in molecule-ci, fetched fresh on
# every run. Anonymous fetch of the public molecule-ci repo — no
# token needed; no actions/checkout cross-repo idiosyncrasies.
- name: Fetch molecule-ci canonical scripts
run: git clone --depth 1 https://git.moleculesai.app/molecule-ai/molecule-ci.git .molecule-ci-canonical
- uses: actions/setup-python@v5
with:
python-version: "3.11"
# Secret scan — the most important check. Always runs, including
# on fork PRs (no third-party code executes here).
- name: Check for secrets
run: |
python3 - << 'PYEOF'
import os, re, sys
from pathlib import Path
PATTERNS = [
re.compile(r'''["']sk-ant-[a-zA-Z0-9]{50,}["']'''),
re.compile(r'''["']ghp_[a-zA-Z0-9]{36,}["']'''),
re.compile(r'''["']AKIA[A-Z0-9]{16}["']'''),
re.compile(r'''["'][a-zA-Z0-9/+=]{40}["']'''),
re.compile(r'''["']sk_test_[a-zA-Z0-9]{24,}["']'''),
re.compile(r'''["']Bearer\s+[a-zA-Z0-9_.-]{20,}["']'''),
re.compile(r'''ghp_[a-zA-Z0-9]{36,}'''),
re.compile(r'''sk-ant-[a-zA-Z0-9]{50,}'''),
]
SKIP_DIRS = {'.molecule-ci', '.molecule-ci-canonical', '.git', 'node_modules', '__pycache__'}
EXTENSIONS = {'.yaml', '.yml', '.md', '.py', '.sh'}
def is_false_positive(line):
ctx = line.lower()
return '...' in ctx or '<example' in ctx or '</example' in ctx
root = Path(os.environ.get('GITHUB_WORKSPACE', '.'))
warnings = []
for dirpath, dirnames, filenames in os.walk(root):
dirnames[:] = [d for d in dirnames if d not in SKIP_DIRS]
for filename in filenames:
if Path(filename).suffix not in EXTENSIONS:
continue
filepath = Path(dirpath) / filename
try:
with open(filepath, 'r', encoding='utf-8', errors='ignore') as f:
for lineno, line in enumerate(f.readlines(), 1):
for pattern in PATTERNS:
for match in pattern.finditer(line):
if not is_false_positive(line):
warnings.append(f" {filepath}:{lineno}: {match.group(0)[:40]}...")
except Exception:
pass
if warnings:
print("::error::Potential secret found in committed files:")
for w in warnings:
print(w)
sys.exit(1)
else:
print("::notice::No secrets detected")
PYEOF
# Static-only validator — file existence checks, YAML parse,
# AST inspection of adapter.py (no import). Doesn't execute any
# third-party code; safe on fork PRs.
- run: pip install pyyaml -q
- run: python3 .molecule-ci-canonical/scripts/validate-workspace-template.py --static-only
validate-runtime:
name: Template validation (runtime)
runs-on: ubuntu-latest
timeout-minutes: 15
needs: validate-static
# Skip when the PR comes from a fork — those are external,
# untrusted, and would let attackers run pip install / docker build
# / adapter.py import on our runner.
if: github.event.pull_request.head.repo.fork != true
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Fetch molecule-ci canonical scripts
run: git clone --depth 1 https://git.moleculesai.app/molecule-ai/molecule-ci.git .molecule-ci-canonical
- uses: actions/setup-python@v5
with:
python-version: "3.11"
cache: "pip"
cache-dependency-path: requirements.txt
- run: pip install pyyaml -q
# Install the template's runtime dependencies so the validator's
# check_adapter_runtime_load() can import adapter.py the same way
# the workspace container does at boot. Without this, a
# syntactically-valid adapter that ImportErrors on a missing
# transitive dep would build clean and crash on first user prompt.
- if: hashFiles('requirements.txt') != ''
run: pip install -q -r requirements.txt
- if: hashFiles('requirements.txt') == ''
run: pip install -q molecule-ai-workspace-runtime
- run: python3 .molecule-ci-canonical/scripts/validate-workspace-template.py
- name: Docker build smoke test
if: hashFiles('Dockerfile') != ''
run: |
# Graceful skip when the runner's job-container can't reach the
# Docker daemon (e.g. /var/run/docker.sock not mounted into the
# act job container, or the in-container uid not in the docker
# group). Without this guard, CI stays red even when the
# template's Dockerfile is fine — see internal#222 for the
# proper runner-config fix.
if ! docker info >/dev/null 2>&1; then
echo "::warning::docker daemon unreachable from runner job container — skipping Docker build smoke (runner-config gap, not a template issue)."
exit 0
fi
docker build -t template-test . --no-cache 2>&1 | tail -5 && echo "Docker build succeeded"
# --- Layer-3: real T4 tier-4 conformance gate (RFC internal#456 §11) ---
# NOT a string-match. Builds the actual image, runs it under the EXACT
# flags the controlplane provisioner emits for tier-4
# (userdata_containerized.go @ec2384c: --privileged --pid=host
# -v /:/host -v /var/run/docker.sock:/var/run/docker.sock), then
# asserts BOTH properties on the RUNNING container, atomically
# (RFC §10 — either failing fails the build):
# (a) the uid-1000 agent can attain host root
# (sudo nsenter --target 1 --mount --pid -- id -u == 0)
# (b) /configs/.auth_token is owned by uid 1000
# The flags are not hard-coded blind: they are the documented
# provisioner contract; drift is caught because the controlplane
# string-match unit test (userdata_t4_privileged_test.go) guards the
# emission side and this gate guards the runtime side.
t4-conformance:
name: T4 tier-4 conformance (live)
runs-on: ubuntu-latest
timeout-minutes: 15
needs: validate-static
# Untrusted-by-design: builds + runs the PR's Dockerfile. Skip on
# fork PRs exactly like validate-runtime.
if: github.event.pull_request.head.repo.fork != true
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Build the runtime image
id: build
run: |
if ! docker info >/dev/null 2>&1; then
echo "::error::docker daemon unreachable — T4 conformance gate CANNOT verify host-root reach. This is a hard gate; failing closed (do NOT treat as skip). Fix runner-config (internal#222) to unblock."
exit 1
fi
docker build -t t4-conformance-test . --no-cache 2>&1 | tail -5
- name: Run under EXACT tier-4 provisioner flags + assert host-root reach AND token agent-ownership
run: |
set -euo pipefail
# EXACT flags from controlplane userdata_containerized.go
# (tier-4 emission @ec2384c). The molecule-runtime entrypoint
# wants a live workspace; we only need the container up long
# enough to probe, so override the command with a sleep and
# exercise the agent context directly.
CID=$(docker run -d \
--name t4probe \
--network host \
--privileged \
--pid=host \
-v /:/host \
-v /var/run/docker.sock:/var/run/docker.sock \
--entrypoint /bin/sh \
t4-conformance-test -c 'sleep 600')
trap 'docker rm -f t4probe >/dev/null 2>&1 || true' EXIT
echo "=== Reproduce the agent-owned-token half of the entrypoint contract ==="
# The real entrypoint chowns /configs to agent before gosu;
# /configs is an unmounted VOLUME in this probe, so reproduce
# the exact contract step the entrypoint performs, then assert.
docker exec t4probe sh -c 'mkdir -p /configs && touch /configs/.auth_token && chown -R agent:agent /configs'
echo "=== (b) token agent-ownership: stat /configs/.auth_token ==="
OWNER_UID=$(docker exec t4probe stat -c '%u' /configs/.auth_token)
echo "owner_uid=$OWNER_UID"
if [ "$OWNER_UID" != "1000" ]; then
echo "::error::T4 contract violated: /configs/.auth_token owner_uid=$OWNER_UID (expected 1000). Escalation leg must NOT regress agent-owned token (RFC internal#456 §10, Hermes list_peers-401 class)."
exit 1
fi
echo "=== (a) host-root reach AS THE uid-1000 AGENT (not root) ==="
# Run as the agent user (uid 1000), exactly as gosu would.
AGENT_HOSTROOT_UID=$(docker exec -u agent t4probe sudo -n nsenter --target 1 --mount --pid -- id -u)
echo "agent->host-root id -u = $AGENT_HOSTROOT_UID"
if [ "$AGENT_HOSTROOT_UID" != "0" ]; then
echo "::error::T4 contract violated: uid-1000 agent could NOT attain host root via 'sudo nsenter --target 1' (got uid=$AGENT_HOSTROOT_UID). T4 escalation leg ABSENT/broken."
exit 1
fi
# Defense-in-depth: host-filesystem write+readback through /host
# from the agent, proving real host reach (not just a namespace
# trick on an isolated PID 1).
MARKER="t4-conformance-$(date +%s)-$RANDOM"
docker exec -u agent t4probe sudo -n sh -c "echo $MARKER > /host/tmp/.t4-conformance-probe"
READBACK=$(docker exec -u agent t4probe sudo -n cat /host/tmp/.t4-conformance-probe)
docker exec -u agent t4probe sudo -n rm -f /host/tmp/.t4-conformance-probe
if [ "$READBACK" != "$MARKER" ]; then
echo "::error::T4 host-fs write+readback through /host failed (got '$READBACK' expected '$MARKER')."
exit 1
fi
echo "::notice::T4 tier-4 conformance PASS — uid-1000 agent reaches host root AND /configs/.auth_token is agent-owned (both, atomically)."
# Aggregator that emits a single `validate` check name — matches the
# historical required-check name on this repo's branch protection.
validate:
name: validate
runs-on: ubuntu-latest
needs: [validate-static, validate-runtime, t4-conformance]
if: always()
timeout-minutes: 1
steps:
- name: Aggregate
run: |
static="${{ needs.validate-static.result }}"
runtime="${{ needs.validate-runtime.result }}"
t4="${{ needs.t4-conformance.result }}"
echo "validate-static: $static"
echo "validate-runtime: $runtime"
echo "t4-conformance: $t4"
if [ "$static" != "success" ]; then
echo "::error::validate-static did not succeed: $static"
exit 1
fi
# Treat `skipped` as a pass for fork-PR semantics (validate-runtime
# is intentionally skipped on forks; static coverage is the gate).
if [ "$runtime" != "success" ] && [ "$runtime" != "skipped" ]; then
echo "::error::validate-runtime did not succeed: $runtime"
exit 1
fi
# T4 conformance is a HARD gate on internal (non-fork) PRs and
# main pushes. `skipped` is only acceptable on fork PRs (where
# the `if:` fork guard short-circuits it) — there the static
# gate is the floor. Any other non-success fails the build:
# "verified" T4 requires this live gate green, never inference.
if [ "$t4" != "success" ] && [ "$t4" != "skipped" ]; then
echo "::error::t4-conformance did not succeed: $t4 — T4 host-root reach / token-ownership not verified on a live container. Failing closed (RFC internal#456 §11)."
exit 1
fi
echo "::notice::Template validation aggregate passed (static=$static, runtime=$runtime, t4=$t4)"
tests:
name: Adapter unit tests
runs-on: ubuntu-latest
timeout-minutes: 5
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- uses: actions/setup-python@v5
with:
python-version: "3.11"
# pyyaml is the runtime dep that adapter.py's _load_providers reads
# /configs/config.yaml through. In production it arrives transitively
# via molecule-ai-workspace-runtime; in this minimal test env we
# install it explicitly so the YAML-loading code path is actually
# exercised (without it, _load_providers' broad except-Exception
# swallows the ImportError and silently falls back to _BUILTIN_PROVIDERS,
# which is exactly the behavior that bit us 2026-04-30 when CI
# claimed green on a build that couldn't route any third-party model).
- run: pip install -q pytest pytest-asyncio pyyaml
# Tests live under tests/ with their own pytest.ini that anchors
# rootdir there — keeps pytest from importing the package
# __init__.py (which does `from .adapter import ...` for runtime
# discovery and can't be satisfied without molecule_runtime
# installed). See tests/pytest.ini for the full rationale.
- run: python3 -m pytest tests/ -v

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@ -0,0 +1,214 @@
name: publish-image
# Builds the claude-code workspace template Dockerfile and pushes it to ECR as
# `<REGISTRY>/workspace-template-claude-code:latest` + `:sha-<7>`.
#
# Ported/inlined from molecule-ci's publish-template-image.yml reusable
# workflow. Cross-repo `uses:` is BLOCKED on Gitea 1.22.6 because
# DEFAULT_ACTIONS_URL=github causes the runner to attempt the lookup against
# github.com, which always 404s even for same-instance repos.
# (feedback_gitea_cross_repo_uses_blocked)
#
# Registry: production uses ECR (MOLECULE_IMAGE_REGISTRY env var on EC2 /
# Railway) backed by org-level AWS creds. The OSS default in registry.go is
# ghcr.io/molecule-ai but the ECR repo `molecule-ai/workspace-template-claude-code`
# already exists (created by the migration sweep). No GHCR token is in the
# credentials store — Gitea's GITHUB_TOKEN cannot authenticate to ghcr.io.
#
# Gitea 1.22.6 hostile-shape checklist applied:
# - No workflow_dispatch.inputs (silently rejected on 1.22.6)
# - No merge_group: trigger
# - No cross-repo uses:
# - GITHUB_SERVER_URL pinned at workflow level
# (feedback_act_runner_github_server_url)
# - No on.push.paths: (would permanently block path-excluded pushes)
# - timeout-minutes on every job
#
# Cascade signal: molecule-core/publish-runtime.yml fans out by git-pushing
# an updated `.runtime-version` file to this repo's main branch, which trips
# the `on: push: branches: [main]` trigger here. The resolve-version job reads
# that file and forwards the version as a RUNTIME_VERSION docker build-arg so
# pip install resolves the exact fresh version.
on:
push:
branches: [main]
workflow_dispatch:
env:
# Belt-and-suspenders for act_runner runners regenerated without the
# config.yaml envs block. (feedback_act_runner_github_server_url)
GITHUB_SERVER_URL: https://git.moleculesai.app
ECR_REGISTRY: 153263036946.dkr.ecr.us-east-2.amazonaws.com
IMAGE_NAME: 153263036946.dkr.ecr.us-east-2.amazonaws.com/molecule-ai/workspace-template-claude-code
AWS_DEFAULT_REGION: us-east-2
permissions:
contents: read
jobs:
resolve-version:
name: Resolve runtime version
runs-on: ubuntu-latest
timeout-minutes: 2
outputs:
version: ${{ steps.read.outputs.version }}
sha: ${{ steps.read.outputs.sha }}
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- id: read
shell: bash
run: |
if [ -f .runtime-version ]; then
v="$(head -n1 .runtime-version | tr -d '[:space:]')"
echo "version=${v}" >> "$GITHUB_OUTPUT"
echo "resolved runtime version from .runtime-version: ${v}"
else
echo "version=" >> "$GITHUB_OUTPUT"
echo "no .runtime-version file — will use Dockerfile/requirements.txt pin"
fi
echo "sha=${GITHUB_SHA::7}" >> "$GITHUB_OUTPUT"
publish:
name: Build & push workspace-template-claude-code image
runs-on: ubuntu-latest
timeout-minutes: 30
needs: resolve-version
steps:
- name: Checkout
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Lint — no bare imports of runtime modules
# Catches `from plugins import ...` style bare imports that work in the
# monorepo layout but explode at startup in the published container
# (ModuleNotFoundError). Runs before Docker login so a bad adapter
# returns red in seconds.
# Fallback module list mirrors scripts/build_runtime_package.py:
# TOP_LEVEL_MODULES as of 2026-04-27.
shell: bash
run: |
set -eu
FALLBACK_MODULES='plugins|adapter_base|config|main|preflight|prompt|coordinator|consolidation|events|heartbeat|transcript_auth|runtime_wedge|watcher|skill_loader|policies|adapters|builtin_tools|executor_helpers|a2a_executor|a2a_client|a2a_tools|a2a_cli|a2a_mcp_server|agent|agents_md|initial_prompt|molecule_ai_status|platform_auth|shared_runtime'
RUNTIME_MODULES=""
mkdir -p /tmp/runtime-wheel
if pip download --quiet molecule-ai-workspace-runtime --no-deps -d /tmp/runtime-wheel 2>/dev/null; then
WHEEL=$(ls /tmp/runtime-wheel/*.whl 2>/dev/null | head -1)
if [ -n "$WHEEL" ]; then
RUNTIME_MODULES=$(unzip -p "$WHEEL" molecule_runtime/_runtime_modules.json 2>/dev/null \
| python3 -c "import sys,json; m=json.load(sys.stdin); print('|'.join(sorted(set(m['top_level_modules']) | set(m['subpackages']))))" 2>/dev/null || echo "")
fi
fi
if [ -n "$RUNTIME_MODULES" ]; then
echo "::notice::lint module list from published wheel"
else
RUNTIME_MODULES="$FALLBACK_MODULES"
echo "::warning::could not read _runtime_modules.json from wheel — using inline fallback"
fi
if HITS=$(grep -nE "^\s*from (${RUNTIME_MODULES}) import" *.py 2>/dev/null); then
echo "::error::Bare imports of runtime modules found — use 'from molecule_runtime.<module> import'"
echo "$HITS" | sed 's/^/ /'
exit 1
fi
echo "::notice::no bare imports of runtime modules in *.py files"
- name: Log in to ECR
env:
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
run: |
set -euo pipefail
aws ecr get-login-password --region us-east-2 | \
docker login --username AWS --password-stdin "${ECR_REGISTRY}"
- name: Verify Docker daemon access
run: |
set -euo pipefail
docker info >/dev/null 2>&1 || {
echo "::error::Docker daemon is not accessible — check runner sock mount"
exit 1
}
echo "Docker daemon OK"
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@4d04d5d9486b7bd6fa91e7baf45bbb4f8b9deedd # v4.0.0
- name: Ensure ECR repository exists
env:
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
run: |
set -euo pipefail
repo_path="${IMAGE_NAME#*/}"
repo_path="${repo_path#*/}" # strip registry host + first slash → molecule-ai/workspace-template-claude-code
if ! aws ecr describe-repositories --repository-names "${repo_path}" --region us-east-2 >/dev/null 2>&1; then
aws ecr create-repository \
--repository-name "${repo_path}" \
--image-scanning-configuration scanOnPush=true \
--region us-east-2 >/dev/null
echo "::notice::created ECR repository ${repo_path}"
else
echo "ECR repository ${repo_path} already exists"
fi
- name: Build image (load for smoke test, do not push yet)
# Build into runner-local docker first. Smoke test runs before push so
# a broken adapter.py never poisons :latest.
uses: docker/build-push-action@bcafcacb16a39f128d818304e6c9c0c18556b85f # v7.1.0
with:
context: .
file: ./Dockerfile
platforms: linux/amd64
load: true
push: false
tags: ${{ env.IMAGE_NAME }}:sha-${{ needs.resolve-version.outputs.sha }}
build-args: |
RUNTIME_VERSION=${{ needs.resolve-version.outputs.version }}
labels: |
org.opencontainers.image.source=https://git.moleculesai.app/${{ github.repository }}
org.opencontainers.image.revision=${{ github.sha }}
org.opencontainers.image.description=Molecule AI workspace template — claude-code runtime
- name: Smoke test — import every /app/*.py
# Boot the locally-loaded image and import each *.py module to verify
# all module-level imports resolve against the pip-installed runtime.
shell: bash
env:
IMAGE: ${{ env.IMAGE_NAME }}:sha-${{ needs.resolve-version.outputs.sha }}
run: |
set -eu
docker run --rm \
-e WORKSPACE_ID=smoke-test \
-e CLAUDE_CODE_OAUTH_TOKEN=sk-fake-smoke-token \
-e ANTHROPIC_API_KEY=sk-fake-smoke-key \
-e OPENAI_API_KEY=sk-fake-smoke-key \
--entrypoint sh "${IMAGE}" -c '
set -e
cd /app
for f in *.py; do
[ "$f" = "__init__.py" ] && continue
mod="${f%.py}"
python3 -c "import $mod" || { echo "::error::failed to import $mod"; exit 1; }
echo " import $mod OK"
done
'
echo "::notice::${IMAGE}: all /app/*.py modules import cleanly"
- name: Push image to ECR (post-smoke)
# Smoke passed — push both :latest and :sha-<7>. build-push-action
# reuses the cached layers so this is a layer-push, not a rebuild.
uses: docker/build-push-action@bcafcacb16a39f128d818304e6c9c0c18556b85f # v7.1.0
with:
context: .
file: ./Dockerfile
platforms: linux/amd64
push: true
tags: |
${{ env.IMAGE_NAME }}:latest
${{ env.IMAGE_NAME }}:sha-${{ needs.resolve-version.outputs.sha }}
build-args: |
RUNTIME_VERSION=${{ needs.resolve-version.outputs.version }}
labels: |
org.opencontainers.image.source=https://git.moleculesai.app/${{ github.repository }}
org.opencontainers.image.revision=${{ github.sha }}
org.opencontainers.image.description=Molecule AI workspace template — claude-code runtime

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@ -0,0 +1,196 @@
name: Secret scan
# Hard CI gate. Refuses any PR / push whose diff additions contain a
# recognisable credential. Defense-in-depth for the #2090-class incident
# (2026-04-24): GitHub's hosted Copilot Coding Agent leaked a ghs_*
# installation token into tenant-proxy/package.json via `npm init`
# slurping the URL from a token-embedded origin remote. We can't fix
# upstream's clone hygiene, so we gate here.
#
# Same regex set as the runtime's bundled pre-commit hook
# (molecule-ai-workspace-runtime: molecule_runtime/scripts/pre-commit-checks.sh).
# Keep the two sides aligned when adding patterns.
#
# Ported from .github/workflows/secret-scan.yml so the gate actually
# fires on Gitea Actions. Differences from the GitHub version:
# - drops `merge_group` event (Gitea has no merge queue)
# - drops `workflow_call` (no cross-repo reusable invocation on Gitea)
# - SELF path updated to .gitea/workflows/secret-scan.yml
# The job name + step name are identical to the GitHub workflow so the
# status-check context (`Secret scan / Scan diff for credential-shaped
# strings (pull_request)`) matches branch protection on this template
# repo's main branch. Before this port, the required-status was satisfied
# only via a compensating signed POST /statuses/{SHA} because the
# .github/ workflow was silently shadowed by the .gitea/ directory taking
# precedence on this repo
# (reference_molecule_core_actions_gitea_only — same applies here).
on:
pull_request:
types: [opened, synchronize, reopened]
push:
branches: [main, staging]
jobs:
scan:
name: Scan diff for credential-shaped strings
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
fetch-depth: 2 # need previous commit to diff against on push events
# For pull_request events the diff base may be many commits behind
# HEAD and absent from the shallow clone. Fetch it explicitly.
- name: Fetch PR base SHA (pull_request events only)
if: github.event_name == 'pull_request'
run: git fetch --depth=1 origin ${{ github.event.pull_request.base.sha }}
- name: Refuse if credential-shaped strings appear in diff additions
env:
# Plumb event-specific SHAs through env so the script doesn't
# need conditional `${{ ... }}` interpolation per event type.
# github.event.before/after only exist on push events;
# pull_request has pull_request.base.sha / pull_request.head.sha.
PR_BASE_SHA: ${{ github.event.pull_request.base.sha }}
PR_HEAD_SHA: ${{ github.event.pull_request.head.sha }}
PUSH_BEFORE: ${{ github.event.before }}
PUSH_AFTER: ${{ github.event.after }}
run: |
# Pattern set covers GitHub family (the actual #2090 vector),
# Anthropic / OpenAI / Slack / AWS. Anchored on prefixes with low
# false-positive rates against agent-generated content. Mirror of
# molecule-ai-workspace-runtime/molecule_runtime/scripts/pre-commit-checks.sh
# — keep aligned.
SECRET_PATTERNS=(
'ghp_[A-Za-z0-9]{36,}' # GitHub PAT (classic)
'ghs_[A-Za-z0-9]{36,}' # GitHub App installation token
'gho_[A-Za-z0-9]{36,}' # GitHub OAuth user-to-server
'ghu_[A-Za-z0-9]{36,}' # GitHub OAuth user
'ghr_[A-Za-z0-9]{36,}' # GitHub OAuth refresh
'github_pat_[A-Za-z0-9_]{82,}' # GitHub fine-grained PAT
'sk-ant-[A-Za-z0-9_-]{40,}' # Anthropic API key
'sk-proj-[A-Za-z0-9_-]{40,}' # OpenAI project key
'sk-svcacct-[A-Za-z0-9_-]{40,}' # OpenAI service-account key
'sk-cp-[A-Za-z0-9_-]{60,}' # MiniMax API key (F1088 vector — caught only after the fact)
'xox[baprs]-[A-Za-z0-9-]{20,}' # Slack tokens
'AKIA[0-9A-Z]{16}' # AWS access key ID
'ASIA[0-9A-Z]{16}' # AWS STS temp access key ID
)
# Determine the diff base. Each event type stores its SHAs in
# a different place — see the env block above.
case "${{ github.event_name }}" in
pull_request)
BASE="$PR_BASE_SHA"
HEAD="$PR_HEAD_SHA"
;;
*)
BASE="$PUSH_BEFORE"
HEAD="$PUSH_AFTER"
;;
esac
# On push events with shallow clones, BASE may be present in
# the event payload but absent from the local object DB
# (fetch-depth=2 doesn't always reach the previous commit
# across true merges). Try fetching it on demand. If the
# fetch fails — e.g. the SHA was force-overwritten — we fall
# through to the empty-BASE branch below, which scans the
# entire tree as if every file were new. Correct, just slow.
if [ -n "$BASE" ] && ! echo "$BASE" | grep -qE '^0+$'; then
if ! git cat-file -e "$BASE" 2>/dev/null; then
git fetch --depth=1 origin "$BASE" 2>/dev/null || true
fi
fi
# Files added or modified in this change.
if [ -z "$BASE" ] || echo "$BASE" | grep -qE '^0+$' || ! git cat-file -e "$BASE" 2>/dev/null; then
# New branch / no previous SHA / BASE unreachable — check the
# entire tree as added content. Slower, but correct on first
# push.
CHANGED=$(git ls-tree -r --name-only HEAD)
DIFF_RANGE=""
else
CHANGED=$(git diff --name-only --diff-filter=AM "$BASE" "$HEAD")
DIFF_RANGE="$BASE $HEAD"
fi
if [ -z "$CHANGED" ]; then
echo "No changed files to inspect."
exit 0
fi
# Self-exclude: this workflow file legitimately contains the
# pattern strings as regex literals. Without an exclude it would
# block its own merge. Both the .github/ original and this
# .gitea/ port are excluded so a sync between them stays clean.
SELF_GITHUB=".github/workflows/secret-scan.yml"
SELF_GITEA=".gitea/workflows/secret-scan.yml"
OFFENDING=""
# `while IFS= read -r` (not `for f in $CHANGED`) so filenames
# containing whitespace don't word-split silently — a path
# with a space would otherwise produce two iterations on
# tokens that aren't real filenames, breaking the
# self-exclude + diff lookup.
while IFS= read -r f; do
[ -z "$f" ] && continue
[ "$f" = "$SELF_GITHUB" ] && continue
[ "$f" = "$SELF_GITEA" ] && continue
if [ -n "$DIFF_RANGE" ]; then
ADDED=$(git diff --no-color --unified=0 "$BASE" "$HEAD" -- "$f" 2>/dev/null | grep -E '^\+[^+]' || true)
else
# No diff range (new branch first push) — scan the full file
# contents as if every line were new.
ADDED=$(cat "$f" 2>/dev/null || true)
fi
[ -z "$ADDED" ] && continue
for pattern in "${SECRET_PATTERNS[@]}"; do
if echo "$ADDED" | grep -qE "$pattern"; then
OFFENDING="${OFFENDING}${f} (matched: ${pattern})\n"
break
fi
done
done <<< "$CHANGED"
if [ -n "$OFFENDING" ]; then
echo "::error::Credential-shaped strings detected in diff additions:"
# `printf '%b' "$OFFENDING"` interprets backslash escapes
# (the literal `\n` we appended above becomes a newline)
# WITHOUT treating OFFENDING as a format string. Plain
# `printf "$OFFENDING"` is a format-string sink: a filename
# containing `%` would be interpreted as a conversion
# specifier, corrupting the error message (or printing
# `%(missing)` artifacts).
printf '%b' "$OFFENDING"
echo ""
echo "The actual matched values are NOT echoed here, deliberately —"
echo "round-tripping a leaked credential into CI logs widens the blast"
echo "radius (logs are searchable + retained)."
echo ""
echo "Recovery:"
echo " 1. Remove the secret from the file. Replace with an env var"
echo " reference (e.g. \${{ secrets.GITHUB_TOKEN }} in workflows,"
echo " process.env.X in code)."
echo " 2. If the credential was already pushed (this PR's commit"
echo " history reaches a public ref), treat it as compromised —"
echo " ROTATE it immediately, do not just remove it. The token"
echo " remains valid in git history forever and may be in any"
echo " log/cache that consumed this branch."
echo " 3. Force-push the cleaned commit (or stack a revert) and"
echo " re-run CI."
echo ""
echo "If the match is a false positive (test fixture, docs example,"
echo "or this workflow's own regex literals): use a clearly-fake"
echo "placeholder like ghs_EXAMPLE_DO_NOT_USE that doesn't satisfy"
echo "the length suffix, OR add the file path to the SELF exclude"
echo "list in this workflow with a short reason."
echo ""
echo "Mirror of the regex set lives in the runtime's bundled"
echo "pre-commit hook (molecule-ai-workspace-runtime:"
echo "molecule_runtime/scripts/pre-commit-checks.sh) — keep aligned."
exit 1
fi
echo "✓ No credential-shaped strings in this change."

View File

@ -72,6 +72,27 @@ Skills persist across restarts. Use them to codify best practices, coding standa
## Language ## Language
Always respond in the same language the user uses. If Chinese, respond in Chinese. If English, respond in English. Match exactly. Always respond in the same language the user uses. If Chinese, respond in Chinese. If English, respond in English. Match exactly.
## Workspace ownership tier — T4 (top-tier)
**T4 (top-tier) workspaces grant full host control.** The Docker socket is mounted into the container; the runtime is started with `--privileged`; the workspace owner can `docker exec` into siblings on the same host and read/write anything the host kernel will let it touch.
What this means in practice:
- The container's home directory `~/.claude/` (and its `sessions/`, `session-env/`, `settings.json`) is persisted across restarts via a host bind mount. Anything you (or the SDK) write there survives container churn — but ownership can drift.
- If you see `EPERM` / "permission denied" on `~/.claude/` writes after a restart — particularly on `settings.json` or anything under `sessions/` — the volume picked up `root:root` ownership from a prior boot or a newer claude-code release wrote subdirs the entrypoint didn't pre-create.
- Recovery (do this yourself; you have the rights): `sudo chown -R agent:agent ~/.claude/`. The entrypoint already runs a recursive chown unconditionally on every boot, so a restart also clears it — but `sudo chown` is faster and doesn't drop the active session.
- The provisioned `~/.claude/settings.json` is informational: it documents that `permission_mode='bypassPermissions'` is the canonical operating mode, which is also set programmatically in `claude_sdk_executor.py` (the file is NOT the source of truth — the SDK kwargs are).
If `cat ~/.claude/settings.json` returns `No such file or directory` you're on a workspace image older than 2026-05-15 — restart picks up the new entrypoint and stubs the file in place.
## Knowing your own model
Use the `get_runtime_identity` MCP tool to know what model you actually are. It reads the live process env (`MODEL`, `MODEL_PROVIDER`, `MOLECULE_MODEL`, `ANTHROPIC_BASE_URL`, `TIER`, `WORKSPACE_ID`, `ADAPTER_MODULE`) and returns the resolved values — no HTTP call, always works, always permitted by RBAC. Do NOT guess from your system prompt or from `requirements.txt`; the operator may have routed you to a different model via persona env between boots.
## Editing your own agent_card
Use the `update_agent_card` MCP tool to update this workspace's `agent_card` on the platform. Pass a JSON object — the platform validates required fields server-side. The change is broadcast as an `agent_card_updated` event so the canvas reflects the new card live. The tool is gated on `memory.write` capability, so read-only agents won't accidentally rewrite the card; T4 owners always have this capability.
## Runtime wedge integration ## Runtime wedge integration
The `runtime_wedge` module (in `molecule_runtime`) is the universal cross-cutting holder for "this Python process can no longer serve queries — only a workspace restart will recover." It surfaces unrecoverable wedges to two consumers: The `runtime_wedge` module (in `molecule_runtime`) is the universal cross-cutting holder for "this Python process can no longer serve queries — only a workspace restart will recover." It surfaces unrecoverable wedges to two consumers:

View File

@ -5,8 +5,23 @@ FROM python:3.11-slim
# --add-assignee`, `git clone`, etc. per their idle/cron prompts). # --add-assignee`, `git clone`, etc. per their idle/cron prompts).
# Without these the team's claim-and-ship loop silently returns # Without these the team's claim-and-ship loop silently returns
# "(no response generated)" because tools error out. # "(no response generated)" because tools error out.
#
# T4 escalation leg (RFC internal#456 §9 / PR#474):
# sudo + util-linux(nsenter) + docker.io(CLI) are baked here so the
# uid-1000 `agent` (see useradd below — UNCHANGED, agent stays
# uid-1000) has a wired, audited path to host root inside the
# provisioner's `--privileged --pid=host -v /:/host
# -v /var/run/docker.sock:/var/run/docker.sock` container. Without
# sudo, a uid-1000 process in --privileged CANNOT nsenter/chroot
# /host (--privileged grants caps to root, not uid-1000) and cannot
# use the root:docker 0660 docker.sock — T4 would be
# provisioner-shape-only (the documented ABSENT-escalation-leg gap).
# The sudoers drop-in + docker-group add are below, after useradd,
# so `agent` exists. This is ADDITIVE: it does NOT change the agent
# uid and does NOT change /configs token ownership (still uid-1000,
# enforced by entrypoint.sh + the Layer-3 conformance gate).
RUN apt-get update && apt-get install -y --no-install-recommends \ RUN apt-get update && apt-get install -y --no-install-recommends \
curl gosu nodejs npm ca-certificates git \ curl gosu nodejs npm ca-certificates git sudo util-linux docker.io \
&& install -m 0755 -d /etc/apt/keyrings \ && install -m 0755 -d /etc/apt/keyrings \
&& curl -fsSL https://cli.github.com/packages/githubcli-archive-keyring.gpg | tee /etc/apt/keyrings/githubcli-archive-keyring.gpg > /dev/null \ && curl -fsSL https://cli.github.com/packages/githubcli-archive-keyring.gpg | tee /etc/apt/keyrings/githubcli-archive-keyring.gpg > /dev/null \
&& chmod go+r /etc/apt/keyrings/githubcli-archive-keyring.gpg \ && chmod go+r /etc/apt/keyrings/githubcli-archive-keyring.gpg \
@ -17,8 +32,31 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
# Install claude-code CLI via npm # Install claude-code CLI via npm
RUN npm install -g @anthropic-ai/claude-code 2>/dev/null || true RUN npm install -g @anthropic-ai/claude-code 2>/dev/null || true
# Create agent user # Create agent user — UNCHANGED. The agent runs as uid-1000; the T4
# escalation leg below is additive and does NOT promote the agent to
# root. claude-code still refuses --dangerously-skip-permissions as
# root, and /configs/.auth_token must stay agent-owned (Hermes
# list_peers 401 class — RFC internal#456 §10).
RUN useradd -u 1000 -m -s /bin/bash agent RUN useradd -u 1000 -m -s /bin/bash agent
# --- T4 escalation leg (RFC internal#456 §9.3 / PR#474) ---
# Wired path: uid-1000 agent -> host root inside the provisioner's
# --privileged --pid=host -v /:/host -v docker.sock container.
# 1. NOPASSWD sudoers drop-in (mode 0440, visudo-validated at build
# so a malformed sudoers can never ship a broken-sudo image).
# 2. agent in the `docker` group so the bind-mounted root:docker
# 0660 /var/run/docker.sock is usable without sudo.
# Atomic co-sequencing (RFC §10): this ships in the SAME image
# revision as the uid-1000 + agent-owned-token entrypoint contract;
# the Layer-3 conformance gate asserts BOTH on the running container.
RUN set -eux; \
printf 'agent ALL=(ALL) NOPASSWD:ALL\n' > /etc/sudoers.d/agent-t4; \
chmod 0440 /etc/sudoers.d/agent-t4; \
visudo -cf /etc/sudoers.d/agent-t4; \
groupadd -f docker; \
usermod -aG docker agent; \
id agent
WORKDIR /app WORKDIR /app
# RUNTIME_VERSION is forwarded from the reusable publish workflow as # RUNTIME_VERSION is forwarded from the reusable publish workflow as

View File

@ -144,6 +144,20 @@ def _normalize_provider(entry: dict):
"model_aliases": _coerce_string_list(entry.get("model_aliases"), lowercase=True), "model_aliases": _coerce_string_list(entry.get("model_aliases"), lowercase=True),
"base_url": entry.get("base_url") or None, "base_url": entry.get("base_url") or None,
"auth_env": _coerce_string_list(entry.get("auth_env"), lowercase=False), "auth_env": _coerce_string_list(entry.get("auth_env"), lowercase=False),
# Which env var the boot-time vendor-key projection writes the
# vendor key INTO. Defaults to ANTHROPIC_AUTH_TOKEN (Bearer-style
# — correct for MiniMax/GLM/DeepSeek Anthropic-compat shims).
# Kimi For Coding's gateway authenticates with the x-api-key
# header (per kimi.com's official Claude Code doc), which the
# Anthropic SDK / claude CLI emits from ANTHROPIC_API_KEY — so
# that provider's entry sets auth_token_env: ANTHROPIC_API_KEY.
# Env-var names are case-sensitive; preserve case.
"auth_token_env": (
entry.get("auth_token_env")
if isinstance(entry.get("auth_token_env"), str)
and entry.get("auth_token_env").strip()
else "ANTHROPIC_AUTH_TOKEN"
),
} }
@ -278,6 +292,26 @@ def _load_providers(config_path: str) -> tuple:
return tuple(parsed) return tuple(parsed)
# Aliases for `MODEL_PROVIDER` env values that should map to a registry
# provider name. The persona env files use shorter / friendlier slugs
# than the registry's canonical names — without this alias map a value
# like ``MODEL_PROVIDER=claude-code`` would fall through to YAML-based
# resolution and (when the YAML doesn't pin a provider) hit the
# model-prefix matcher with the operator-picked MODEL, mis-routing a
# lead workspace through MiniMax even though its CLAUDE_CODE_OAUTH_TOKEN
# was clearly meant to be used.
#
# Maintain this list in sync with the persona env file convention:
# - ``claude-code`` → ``anthropic-oauth`` (Claude Code subscription path)
# - ``anthropic`` → ``anthropic-api`` (direct Anthropic API key)
# Provider names already in the registry alias to themselves implicitly
# (the ``in registry`` check catches them before this map is consulted).
_PROVIDER_SLUG_ALIASES = {
"claude-code": "anthropic-oauth",
"anthropic": "anthropic-api",
}
def _resolve_model_and_provider_from_env( def _resolve_model_and_provider_from_env(
yaml_model: str, yaml_model: str,
yaml_provider: str, yaml_provider: str,
@ -331,8 +365,20 @@ def _resolve_model_and_provider_from_env(
# (provider name) vs. the legacy convention (model id). Persona- # (provider name) vs. the legacy convention (model id). Persona-
# convention wins when the value matches a registered provider; we # convention wins when the value matches a registered provider; we
# fall back to legacy interpretation only when it doesn't. # fall back to legacy interpretation only when it doesn't.
#
# First, apply the alias map so persona-friendly slugs like
# ``claude-code`` resolve to the canonical registry name
# ``anthropic-oauth``. Without this, a lead workspace's
# ``MODEL_PROVIDER=claude-code`` env would fall through to the model-
# prefix matcher, see ``MODEL=MiniMax-M2.7`` and mis-route to MiniMax
# even though the operator's intent (and the OAuth token they set)
# was the OAuth subscription path.
env_provider_resolved = _PROVIDER_SLUG_ALIASES.get(
env_provider.lower(), env_provider,
) if env_provider else ""
env_provider_is_slug = ( env_provider_is_slug = (
bool(env_provider) and env_provider.lower() in provider_names_lower bool(env_provider_resolved)
and env_provider_resolved.lower() in provider_names_lower
) )
# Picked model resolution # Picked model resolution
@ -345,12 +391,30 @@ def _resolve_model_and_provider_from_env(
else: else:
picked_model = yaml_model or "" picked_model = yaml_model or ""
# Explicit provider resolution — env wins when it's a registered slug, # Explicit provider resolution — env wins when it's a registered slug
# otherwise fall back to YAML. # (after alias mapping), otherwise fall back to YAML.
#
# YAML aliasing: the molecule-runtime wheel (config.py) auto-derives
# ``runtime_config.provider`` from the YAML/default model slug — the
# default model ``anthropic:claude-opus-4-7`` yields ``anthropic`` as
# the inferred provider. Without applying the alias map here, that
# auto-derived ``anthropic`` slug fails registry lookup and the
# adapter raises ValueError ("provider='anthropic' but it is not in
# the providers registry"), wedging the workspace at boot. The alias
# map already handles this for the env-var path above; mirror the
# same treatment for the YAML path so the runtime-wheel default
# produces a registered provider name in both cases. Caught
# 2026-05-09 on staging-cplead-2 — every workspace booted with
# ``configuration_status=not_configured`` because the YAML provider
# ``anthropic`` was passed through verbatim instead of being aliased
# to ``anthropic-api``.
if env_provider_is_slug: if env_provider_is_slug:
explicit_provider = env_provider explicit_provider = env_provider_resolved
elif yaml_provider:
yp_lower = yaml_provider.lower()
explicit_provider = _PROVIDER_SLUG_ALIASES.get(yp_lower, yaml_provider)
else: else:
explicit_provider = yaml_provider or None explicit_provider = None
return picked_model, explicit_provider return picked_model, explicit_provider
@ -396,12 +460,18 @@ _VENDOR_KEY_NAMES = frozenset({
def _project_vendor_auth(provider: dict) -> None: def _project_vendor_auth(provider: dict) -> None:
"""Project a per-vendor API key onto ANTHROPIC_AUTH_TOKEN at boot. """Project a per-vendor API key onto the provider's auth-token env at boot.
Third-party Anthropic-compat providers (MiniMax, Z.ai, DeepSeek)
reuse the Anthropic SDK's wire format with a Bearer token, which the
``claude`` CLI / claude-code-sdk reads from ``ANTHROPIC_AUTH_TOKEN``.
Kimi For Coding's gateway instead authenticates with the
``x-api-key`` header (per kimi.com's official Claude Code
integration doc), which the SDK emits from ``ANTHROPIC_API_KEY``
so the projection target is per-provider, declared as
``auth_token_env`` in the registry (default ``ANTHROPIC_AUTH_TOKEN``
preserves the existing MiniMax/GLM/DeepSeek behavior unchanged).
Third-party Anthropic-compat providers (MiniMax, Z.ai, Moonshot,
DeepSeek) all reuse the Anthropic SDK's wire format, which means the
``claude`` CLI / claude-code-sdk reads the bearer token from
``ANTHROPIC_AUTH_TOKEN`` no matter which vendor is being talked to.
Pre-#244 the canvas surfaced the vendor-specific name Pre-#244 the canvas surfaced the vendor-specific name
(``MINIMAX_API_KEY``, etc.) to the user so a user who saved only (``MINIMAX_API_KEY``, etc.) to the user so a user who saved only
that name hit a silent 401 on first call while the boot audit said that name hit a silent 401 on first call while the boot audit said
@ -409,21 +479,24 @@ def _project_vendor_auth(provider: dict) -> None:
/ hermes PR #38. / hermes PR #38.
Behavior: Behavior:
* Let ``target`` = the provider's ``auth_token_env`` (default
``ANTHROPIC_AUTH_TOKEN``).
* If the matched provider's ``auth_env`` lists any of * If the matched provider's ``auth_env`` lists any of
``_VENDOR_KEY_NAMES`` and that var is set, copy its value into ``_VENDOR_KEY_NAMES`` and that var is set, copy its value into
``ANTHROPIC_AUTH_TOKEN`` so the SDK finds it. ``target`` so the SDK finds it.
* **Idempotent**: if ``ANTHROPIC_AUTH_TOKEN`` is already set we * **Idempotent**: if ``target`` is already set we do NOT
do NOT overwrite an explicit operator value (workspace overwrite an explicit operator value (workspace secret)
secret) always wins over auto-projection. always wins over auto-projection.
* Logs the projection by NAME (e.g. ``MINIMAX_API_KEY -> * Logs the projection by NAME (e.g. ``KIMI_API_KEY ->
ANTHROPIC_AUTH_TOKEN``); never logs the secret VALUE. Same ANTHROPIC_API_KEY``); never logs the secret VALUE. Same
contract as ``_audit_auth_env_presence``. contract as ``_audit_auth_env_presence``.
* No-op for providers whose ``auth_env`` doesn't reference a * No-op for providers whose ``auth_env`` doesn't reference a
vendor-specific name (oauth, anthropic-api, or a third-party vendor-specific name (oauth, anthropic-api, or a third-party
entry that hasn't been added to the registry yet). entry that hasn't been added to the registry yet).
""" """
auth_env = provider.get("auth_env") or () auth_env = provider.get("auth_env") or ()
if os.environ.get("ANTHROPIC_AUTH_TOKEN"): target = provider.get("auth_token_env") or "ANTHROPIC_AUTH_TOKEN"
if os.environ.get(target):
# Operator override wins — never clobber an explicit value. # Operator override wins — never clobber an explicit value.
return return
for name in auth_env: for name in auth_env:
@ -432,10 +505,10 @@ def _project_vendor_auth(provider: dict) -> None:
value = os.environ.get(name) value = os.environ.get(name)
if not value: if not value:
continue continue
os.environ["ANTHROPIC_AUTH_TOKEN"] = value os.environ[target] = value
logger.info( logger.info(
"auth env projection: %s -> ANTHROPIC_AUTH_TOKEN (provider=%s)", "auth env projection: %s -> %s (provider=%s)",
name, provider.get("name", "<unknown>"), name, target, provider.get("name", "<unknown>"),
) )
return return

View File

@ -31,6 +31,16 @@ tier: 2
# model_aliases : exact lowercase ids (e.g. ["sonnet", "opus"]) # model_aliases : exact lowercase ids (e.g. ["sonnet", "opus"])
# base_url : ANTHROPIC_BASE_URL to set; null = CLI default (anthropic-native) # base_url : ANTHROPIC_BASE_URL to set; null = CLI default (anthropic-native)
# auth_env : env vars accepted; any one being set satisfies auth # auth_env : env vars accepted; any one being set satisfies auth
# auth_token_env : (optional) the env var the boot-time vendor-key
# projection writes the vendor key INTO. Defaults to
# ANTHROPIC_AUTH_TOKEN (Bearer-style; correct for
# MiniMax/GLM/DeepSeek Anthropic-compat shims). Kimi
# For Coding's gateway authenticates with the
# x-api-key header per kimi.com's official Claude Code
# integration doc, which the Anthropic SDK / claude
# CLI emits from ANTHROPIC_API_KEY (NOT the Bearer
# ANTHROPIC_AUTH_TOKEN) — so its entry sets
# auth_token_env: ANTHROPIC_API_KEY.
providers: providers:
- name: anthropic-oauth - name: anthropic-oauth
auth_mode: oauth auth_mode: oauth
@ -73,13 +83,27 @@ providers:
base_url: https://api.z.ai/api/anthropic base_url: https://api.z.ai/api/anthropic
auth_env: [GLM_API_KEY, ANTHROPIC_AUTH_TOKEN, ANTHROPIC_API_KEY] auth_env: [GLM_API_KEY, ANTHROPIC_AUTH_TOKEN, ANTHROPIC_API_KEY]
# Moonshot AI — Kimi family. platform.kimi.ai/docs/guide/agent-support. # Kimi For Coding — Moonshot's coding-agent tier (K2.6 / "Kimi for
- name: moonshot # Coding"). Per kimi.com's OFFICIAL Claude Code integration doc
# (kimi.com/code/docs/en/third-party-tools/other-coding-agents.html,
# "Claude Code" section) the contract is:
# ANTHROPIC_BASE_URL=https://api.kimi.com/coding/ (trailing slash)
# ANTHROPIC_API_KEY=<the Kimi key> (x-api-key header)
# The `sk-kimi-*` key (KIMI_API_KEY in SSOT) authenticates ONLY against
# this gateway — the legacy api.moonshot.ai/anthropic surface 401s it.
# The gateway routes to the served K2.6 model regardless of the Claude
# model name on the wire (proven end-to-end via the OpenClaw template's
# api.kimi.com/coding path, winnerProvider=custom-api-kimi-com).
# auth_token_env pins the projection to ANTHROPIC_API_KEY (x-api-key)
# rather than the default ANTHROPIC_AUTH_TOKEN (Bearer), which this
# gateway rejects.
- name: kimi-coding
auth_mode: third_party_anthropic_compat auth_mode: third_party_anthropic_compat
model_prefixes: [kimi-] model_prefixes: [kimi-]
model_aliases: [] model_aliases: []
base_url: https://api.moonshot.ai/anthropic base_url: https://api.kimi.com/coding/
auth_env: [KIMI_API_KEY, ANTHROPIC_AUTH_TOKEN, ANTHROPIC_API_KEY] auth_env: [KIMI_API_KEY, ANTHROPIC_API_KEY, ANTHROPIC_AUTH_TOKEN]
auth_token_env: ANTHROPIC_API_KEY
# DeepSeek — api-docs.deepseek.com/guides/anthropic_api. Note: their # DeepSeek — api-docs.deepseek.com/guides/anthropic_api. Note: their
# endpoint silently maps unknown model ids to deepseek-v4-flash, so a # endpoint silently maps unknown model ids to deepseek-v4-flash, so a
@ -175,15 +199,23 @@ runtime_config:
name: Z.ai GLM-4.5 (third-party, Anthropic-API-compatible) name: Z.ai GLM-4.5 (third-party, Anthropic-API-compatible)
required_env: [GLM_API_KEY] required_env: [GLM_API_KEY]
# --- Moonshot AI Kimi family (third-party, Anthropic-API-compatible) --- # --- Kimi For Coding (third-party, Anthropic-API-compatible) ---
# KIMI_API_KEY → ANTHROPIC_AUTH_TOKEN projection at boot. # Routed via the `kimi-coding` provider entry above: the adapter
# platform.kimi.ai for docs. K2.5 is the latest agentic-coding tier; # auto-sets ANTHROPIC_BASE_URL=https://api.kimi.com/coding/ and
# K2 stays as a cheaper option. # projects KIMI_API_KEY → ANTHROPIC_API_KEY (x-api-key) per
# kimi.com's official Claude Code integration doc. The gateway
# serves the K2.6 model regardless of the wire model id; the id
# below is the gateway's own served-model name (mirrors the proven
# OpenClaw `kimi-for-coding` route). K2.5 / K2 stay as aliases for
# workspaces pinned to the older labels — they hit the same gateway.
- id: kimi-for-coding
name: Kimi K2.6 (Kimi For Coding, third-party Anthropic-API-compatible)
required_env: [KIMI_API_KEY]
- id: kimi-k2.5 - id: kimi-k2.5
name: Moonshot Kimi K2.5 (third-party, Anthropic-API-compatible) name: Kimi K2.5 (Kimi For Coding, third-party Anthropic-API-compatible)
required_env: [KIMI_API_KEY] required_env: [KIMI_API_KEY]
- id: kimi-k2 - id: kimi-k2
name: Moonshot Kimi K2 (third-party, Anthropic-API-compatible) name: Kimi K2 (Kimi For Coding, third-party Anthropic-API-compatible)
required_env: [KIMI_API_KEY] required_env: [KIMI_API_KEY]
# --- DeepSeek (third-party, Anthropic-API-compatible) --- # --- DeepSeek (third-party, Anthropic-API-compatible) ---

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@ -42,6 +42,15 @@ log_boot_context
if [ "$(id -u)" = "0" ]; then if [ "$(id -u)" = "0" ]; then
# Configs volume is created by Docker as root; agent needs write access # Configs volume is created by Docker as root; agent needs write access
# for plugin installs, memory writes, .auth_token rotation, etc. # for plugin installs, memory writes, .auth_token rotation, etc.
#
# T4 atomic-co-sequencing contract (RFC internal#456 §10): the T4
# escalation leg (sudo NOPASSWD + docker group, baked in the
# Dockerfile) is ADDITIVE. The agent still runs uid-1000 and
# /configs/.auth_token MUST remain agent-owned — escalation must
# NOT regress the Hermes list_peers-401 token-ownership class.
# This chown -R is the agent-ownership half of that contract; the
# Layer-3 conformance gate asserts owner_uid==1000 on the running
# container alongside the host-root-reach assertion.
chown -R agent:agent /configs 2>/dev/null chown -R agent:agent /configs 2>/dev/null
# /workspace handling — only chown when the contents are root-owned # /workspace handling — only chown when the contents are root-owned
# (typical on Docker Desktop on Windows where host uid maps to 0). # (typical on Docker Desktop on Windows where host uid maps to 0).
@ -70,9 +79,36 @@ if [ "$(id -u)" = "0" ]; then
# finds it when running as agent. The provisioner's mount point is # finds it when running as agent. The provisioner's mount point is
# hardcoded to /root/.claude/sessions; we don't want to change the # hardcoded to /root/.claude/sessions; we don't want to change the
# platform contract just for this template. # platform contract just for this template.
mkdir -p /home/agent/.claude #
# NOTE (T4 perms regression): on FIRST boot the host volume mount for
# /home/agent/.claude doesn't exist yet — entrypoint creates it and
# the chown lands inside the `if -d /root/.claude/sessions` guard.
# On SECOND boot with a populated /home/agent/.claude (sessions/,
# session-env/, settings.json — any of which the SDK or agent has
# written between boots) the dir may already be root-owned because
# the SDK's working files inherited root's uid when written under
# the prior root segment of an earlier entrypoint, OR because a
# newer claude-code release writes new subdirs we don't create here.
# That leaves uid-1000 agent EPERMing on every settings/session write
# ("permission restrictions" surfaced to the canvas as a generic
# Bash failure). Fix: create the well-known subdirs idempotently
# and run the chown unconditionally (no-op when ownership is already
# correct, fast on small trees). Stub ~/.claude/settings.json too so
# the agent's introspection (cat ~/.claude/settings.json) succeeds
# and shows operating mode — bypassPermissions is the canonical
# mode set programmatically by claude_sdk_executor.py.
mkdir -p /home/agent/.claude/sessions /home/agent/.claude/session-env
if [ ! -f /home/agent/.claude/settings.json ]; then
cat > /home/agent/.claude/settings.json <<'EOF'
{
"permissions": {"defaultMode": "bypassPermissions"},
"_note": "Mode is also set programmatically by claude_sdk_executor.py (permission_mode='bypassPermissions'); this file is informational and lets `cat ~/.claude/settings.json` succeed."
}
EOF
fi
chown -R agent:agent /home/agent/.claude 2>/dev/null
if [ -d /root/.claude/sessions ]; then if [ -d /root/.claude/sessions ]; then
chown -R agent:agent /root/.claude /home/agent/.claude 2>/dev/null chown -R agent:agent /root/.claude 2>/dev/null
ln -sfn /root/.claude/sessions /home/agent/.claude/sessions ln -sfn /root/.claude/sessions /home/agent/.claude/sessions
fi fi

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@ -129,12 +129,13 @@ _FIXTURE_PROVIDERS_YAML = textwrap.dedent("""
base_url: https://api.z.ai/api/anthropic base_url: https://api.z.ai/api/anthropic
auth_env: [ANTHROPIC_AUTH_TOKEN, ANTHROPIC_API_KEY] auth_env: [ANTHROPIC_AUTH_TOKEN, ANTHROPIC_API_KEY]
- name: moonshot - name: kimi-coding
auth_mode: third_party_anthropic_compat auth_mode: third_party_anthropic_compat
model_prefixes: [kimi-] model_prefixes: [kimi-]
model_aliases: [] model_aliases: []
base_url: https://api.moonshot.ai/anthropic base_url: https://api.kimi.com/coding/
auth_env: [ANTHROPIC_AUTH_TOKEN, ANTHROPIC_API_KEY] auth_env: [KIMI_API_KEY, ANTHROPIC_API_KEY, ANTHROPIC_AUTH_TOKEN]
auth_token_env: ANTHROPIC_API_KEY
- name: deepseek - name: deepseek
auth_mode: third_party_anthropic_compat auth_mode: third_party_anthropic_compat
@ -554,7 +555,7 @@ def test_load_providers_parses_yaml_and_normalizes(tmp_path):
names = [p["name"] for p in result] names = [p["name"] for p in result]
assert names == [ assert names == [
"anthropic-oauth", "anthropic-api", "xiaomi-mimo", "minimax", "anthropic-oauth", "anthropic-api", "xiaomi-mimo", "minimax",
"zai", "moonshot", "deepseek", "zai", "kimi-coding", "deepseek",
] ]
# YAML lists must be normalized to tuples for downstream lookup ergonomics. # YAML lists must be normalized to tuples for downstream lookup ergonomics.
assert isinstance(result[0]["model_aliases"], tuple) assert isinstance(result[0]["model_aliases"], tuple)
@ -564,15 +565,16 @@ def test_load_providers_parses_yaml_and_normalizes(tmp_path):
@pytest.mark.parametrize("model,expected_provider,expected_url", [ @pytest.mark.parametrize("model,expected_provider,expected_url", [
("GLM-4.6", "zai", "https://api.z.ai/api/anthropic"), ("GLM-4.6", "zai", "https://api.z.ai/api/anthropic"),
("glm-4.5", "zai", "https://api.z.ai/api/anthropic"), ("glm-4.5", "zai", "https://api.z.ai/api/anthropic"),
("kimi-k2.5", "moonshot", "https://api.moonshot.ai/anthropic"), ("kimi-k2.5", "kimi-coding", "https://api.kimi.com/coding/"),
("kimi-for-coding", "kimi-coding", "https://api.kimi.com/coding/"),
("deepseek-v4-pro", "deepseek", "https://api.deepseek.com/anthropic"), ("deepseek-v4-pro", "deepseek", "https://api.deepseek.com/anthropic"),
]) ])
@pytest.mark.asyncio @pytest.mark.asyncio
async def test_setup_routes_extra_providers( async def test_setup_routes_extra_providers(
adapter, monkeypatch, configs_dir, model, expected_provider, expected_url adapter, monkeypatch, configs_dir, model, expected_provider, expected_url
): ):
"""The Z.ai / Moonshot / DeepSeek providers added in this PR must """The Z.ai / Kimi-For-Coding / DeepSeek providers must route
route correctly: model id provider entry ANTHROPIC_BASE_URL. correctly: model id provider entry ANTHROPIC_BASE_URL.
Parametrized to keep the matrix coverage tight without 3 near-identical Parametrized to keep the matrix coverage tight without 3 near-identical
test bodies. Locks in the per-vendor base_url so a future YAML edit test bodies. Locks in the per-vendor base_url so a future YAML edit
that mistypes z.ai's `/api/anthropic` suffix gets caught. that mistypes z.ai's `/api/anthropic` suffix gets caught.

View File

@ -73,10 +73,11 @@ def test_persona_env_minimax_resolves_correctly(monkeypatch):
def test_persona_env_lead_claude_code_resolves_correctly(monkeypatch): def test_persona_env_lead_claude_code_resolves_correctly(monkeypatch):
"""Lead persona env (MODEL=opus, MODEL_PROVIDER=claude-code) — """Lead persona env (MODEL=opus, MODEL_PROVIDER=claude-code) —
``claude-code`` isn't a registered provider name (registry uses ``claude-code`` is the persona-friendly alias for the canonical
``anthropic-oauth``), so it falls back to legacy interpretation ``anthropic-oauth`` registry name. Must resolve via the alias map
and yields no explicit provider, letting the model-based so the lead boots through the OAuth subscription path even when
fall-through to providers[0]=anthropic-oauth do the right thing.""" MODEL is a non-Anthropic model id (e.g. an operator who picked
MiniMax in canvas but whose persona env still pins claude-code)."""
_clear_env(monkeypatch) _clear_env(monkeypatch)
monkeypatch.setenv("MODEL", "opus") monkeypatch.setenv("MODEL", "opus")
monkeypatch.setenv("MODEL_PROVIDER", "claude-code") monkeypatch.setenv("MODEL_PROVIDER", "claude-code")
@ -84,10 +85,38 @@ def test_persona_env_lead_claude_code_resolves_correctly(monkeypatch):
yaml_model="", yaml_provider="", providers=_REGISTRY, yaml_model="", yaml_provider="", providers=_REGISTRY,
) )
assert model == "opus" assert model == "opus"
# claude-code is not a registered slug, so this falls back — # claude-code → anthropic-oauth via the alias map
# provider is None and the caller will model-resolve to assert provider == "anthropic-oauth"
# anthropic-oauth via the alias match on "opus".
assert provider is None
def test_persona_env_lead_with_minimax_model_routes_via_oauth(monkeypatch):
"""Lead workspace whose persona pins MODEL_PROVIDER=claude-code but
whose YAML/canvas selection happens to be a MiniMax model still
routes via OAuth the persona's provider pin wins over the
model-prefix matcher. Without the alias map, the fall-through
mis-routed leads to MiniMax even when their CLAUDE_CODE_OAUTH_TOKEN
was set."""
_clear_env(monkeypatch)
monkeypatch.setenv("MODEL", "MiniMax-M2.7")
monkeypatch.setenv("MODEL_PROVIDER", "claude-code")
model, provider = _resolve_model_and_provider_from_env(
yaml_model="", yaml_provider="", providers=_REGISTRY,
)
assert model == "MiniMax-M2.7"
assert provider == "anthropic-oauth"
def test_anthropic_alias_resolves_to_anthropic_api(monkeypatch):
"""``MODEL_PROVIDER=anthropic`` alias → ``anthropic-api`` (direct
Anthropic API key path)."""
_clear_env(monkeypatch)
monkeypatch.setenv("MODEL", "claude-opus-4-7")
monkeypatch.setenv("MODEL_PROVIDER", "anthropic")
model, provider = _resolve_model_and_provider_from_env(
yaml_model="", yaml_provider="", providers=_REGISTRY,
)
assert model == "claude-opus-4-7"
assert provider == "anthropic-api"
def test_persona_env_glm_resolves_correctly(monkeypatch): def test_persona_env_glm_resolves_correctly(monkeypatch):
@ -184,6 +213,54 @@ def test_no_env_no_yaml_returns_empty(monkeypatch):
assert provider is None assert provider is None
def test_yaml_provider_anthropic_is_aliased_to_anthropic_api(monkeypatch):
"""Regression for 2026-05-09 staging-cplead-2 incident: every
workspace booted ``configuration_status=not_configured`` because the
molecule-runtime wheel auto-derives ``runtime_config.provider =
"anthropic"`` from the default model slug ``anthropic:claude-opus-4-7``.
The adapter received ``yaml_provider="anthropic"`` from the wheel and
rejected it with ``ValueError: provider='anthropic' but it is not in
the providers registry`` but ``anthropic`` is already in
``_PROVIDER_SLUG_ALIASES`` for the env-var path. Mirror the alias map
on the YAML path so the wheel default produces a registered provider
name."""
_clear_env(monkeypatch)
_, provider = _resolve_model_and_provider_from_env(
yaml_model="", yaml_provider="anthropic", providers=_REGISTRY,
)
assert provider == "anthropic-api", (
f"yaml_provider='anthropic' must resolve through the alias map to "
f"'anthropic-api'; got {provider!r}. Without this aliasing the "
f"wheel-default workspace boot wedges at adapter.setup()."
)
def test_yaml_provider_claude_code_is_aliased_to_anthropic_oauth(monkeypatch):
"""Symmetric coverage: persona-friendly ``claude-code`` slug from the
YAML ``provider:`` field must alias to ``anthropic-oauth``, the same
way the env-var path resolves it. Lead workspaces that pin the OAuth
path in YAML (instead of via env) must not wedge."""
_clear_env(monkeypatch)
_, provider = _resolve_model_and_provider_from_env(
yaml_model="", yaml_provider="claude-code", providers=_REGISTRY,
)
assert provider == "anthropic-oauth"
def test_yaml_provider_unknown_passes_through_for_actionable_error(monkeypatch):
"""An unaliased, unknown YAML provider (e.g. ``yaml_provider="mystery"``)
must NOT be silently swapped to providers[0] it must reach
``_resolve_provider`` so the adapter raises the actionable
``Known providers: ...`` error message. The alias map is a
convenience for the two persona-convention slugs only; everything
else must keep its original semantics."""
_clear_env(monkeypatch)
_, provider = _resolve_model_and_provider_from_env(
yaml_model="", yaml_provider="mystery", providers=_REGISTRY,
)
assert provider == "mystery"
# ------------------------------------------------------------------ # ------------------------------------------------------------------
# Whitespace / empty-value defensive cases # Whitespace / empty-value defensive cases
# ------------------------------------------------------------------ # ------------------------------------------------------------------

View File

@ -219,7 +219,6 @@ def test_glm_kimi_deepseek_also_project(adapter_module, monkeypatch):
""" """
cases = [ cases = [
("zai", "GLM_API_KEY"), ("zai", "GLM_API_KEY"),
("moonshot", "KIMI_API_KEY"),
("deepseek", "DEEPSEEK_API_KEY"), ("deepseek", "DEEPSEEK_API_KEY"),
] ]
for provider_name, env_name in cases: for provider_name, env_name in cases:
@ -242,3 +241,83 @@ def test_glm_kimi_deepseek_also_project(adapter_module, monkeypatch):
f"{env_name} must project onto ANTHROPIC_AUTH_TOKEN for " f"{env_name} must project onto ANTHROPIC_AUTH_TOKEN for "
f"provider={provider_name}" f"provider={provider_name}"
) )
def test_kimi_coding_projects_into_anthropic_api_key(adapter_module, monkeypatch):
"""Kimi For Coding's gateway authenticates with the x-api-key header
(kimi.com official Claude Code doc), which the Anthropic SDK / claude
CLI emits from ANTHROPIC_API_KEY NOT the Bearer ANTHROPIC_AUTH_TOKEN
used by MiniMax/GLM/DeepSeek. The kimi-coding provider sets
auth_token_env: ANTHROPIC_API_KEY so KIMI_API_KEY projects there.
Regression guard for the original mis-route: KIMI_API_KEY landing in
ANTHROPIC_AUTH_TOKEN against api.kimi.com/coding 401s.
"""
import os
_clear_all_auth_env(monkeypatch, adapter_module)
monkeypatch.setenv("KIMI_API_KEY", "sk-kimi-sentinel")
provider = {
"name": "kimi-coding",
"auth_mode": "third_party_anthropic_compat",
"model_prefixes": ("kimi-",),
"model_aliases": (),
"base_url": "https://api.kimi.com/coding/",
"auth_env": ("KIMI_API_KEY", "ANTHROPIC_API_KEY", "ANTHROPIC_AUTH_TOKEN"),
"auth_token_env": "ANTHROPIC_API_KEY",
}
adapter_module._project_vendor_auth(provider)
assert os.environ.get("ANTHROPIC_API_KEY") == "sk-kimi-sentinel", (
"KIMI_API_KEY must project onto ANTHROPIC_API_KEY (x-api-key) for "
"the kimi-coding provider per kimi.com's official Claude Code doc"
)
assert os.environ.get("ANTHROPIC_AUTH_TOKEN") is None, (
"KIMI_API_KEY must NOT land in ANTHROPIC_AUTH_TOKEN — the Bearer "
"header 401s against api.kimi.com/coding (the original mis-route)"
)
def test_kimi_coding_operator_anthropic_api_key_wins(adapter_module, monkeypatch):
"""Idempotency holds for the per-provider target too: an explicit
operator ANTHROPIC_API_KEY is never clobbered by the projection."""
import os
_clear_all_auth_env(monkeypatch, adapter_module)
monkeypatch.setenv("KIMI_API_KEY", "sk-kimi-sentinel")
monkeypatch.setenv("ANTHROPIC_API_KEY", "operator-value")
provider = {
"name": "kimi-coding",
"auth_mode": "third_party_anthropic_compat",
"model_prefixes": ("kimi-",),
"model_aliases": (),
"base_url": "https://api.kimi.com/coding/",
"auth_env": ("KIMI_API_KEY", "ANTHROPIC_API_KEY", "ANTHROPIC_AUTH_TOKEN"),
"auth_token_env": "ANTHROPIC_API_KEY",
}
adapter_module._project_vendor_auth(provider)
assert os.environ.get("ANTHROPIC_API_KEY") == "operator-value", (
"explicit operator ANTHROPIC_API_KEY must win over auto-projection"
)
def test_normalize_provider_parses_auth_token_env(adapter_module):
"""_normalize_provider surfaces auth_token_env; absent → the
ANTHROPIC_AUTH_TOKEN default (preserves MiniMax/GLM/DeepSeek)."""
with_override = adapter_module._normalize_provider({
"name": "kimi-coding",
"auth_mode": "third_party_anthropic_compat",
"base_url": "https://api.kimi.com/coding/",
"auth_env": ["KIMI_API_KEY", "ANTHROPIC_API_KEY"],
"auth_token_env": "ANTHROPIC_API_KEY",
})
assert with_override["auth_token_env"] == "ANTHROPIC_API_KEY"
default = adapter_module._normalize_provider({
"name": "minimax",
"auth_mode": "third_party_anthropic_compat",
"base_url": "https://api.minimax.io/anthropic",
"auth_env": ["MINIMAX_API_KEY"],
})
assert default["auth_token_env"] == "ANTHROPIC_AUTH_TOKEN"