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Author SHA1 Message Date
hongming-ceo-delegated 3ddd2ea068 revert: remove coding-discipline from default skills
Secret scan / secret-scan (pull_request) Failing after 20s
CI / Adapter unit tests (pull_request) Successful in 1m30s
CI / Adapter unit tests (push) Successful in 1m38s
CI / validate (pull_request) Successful in 3m30s
CI / validate (push) Successful in 7m23s
Skills should be opt-in, not default. Agents load them via the
plugin marketplace or explicit workspace configuration.

coding-discipline and security-auditor remain available as
wireable plugins/skills.
2026-05-13 18:10:17 -07:00
hongming-ceo-delegated 4cbadee0ba revert: remove security-auditor from default skills
CI / validate (push) Waiting to run
CI / Adapter unit tests (push) Waiting to run
Secret scan / secret-scan (pull_request) Failing after 0s
CI / Adapter unit tests (pull_request) Successful in 1m29s
CI / validate (pull_request) Successful in 8m30s
security-auditor is not a default skill. It will be wired manually
to specific team members rather than injected into all workspaces.

Keep coding-discipline as the cross-cutting default.
2026-05-13 18:05:48 -07:00
hongming-ceo-delegated 351b717add feat: add security-auditor skill to config.yaml
CI / validate (push) Waiting to run
CI / Adapter unit tests (push) Waiting to run
Secret scan / secret-scan (pull_request) Failing after 1s
CI / Adapter unit tests (pull_request) Successful in 1m48s
CI / validate (pull_request) Successful in 13m38s
Enables static security review capability:
- PR security review (secrets, attack surface, severity labels)
- Dependency audit (OSV API integration)
- Security issue triage
- Policy enforcement (forbidden/required patterns)

Scope: git-only, no code execution, no active testing.
2026-05-13 17:56:41 -07:00
hongming-ceo-delegated a24c2bb778 feat: add Karpathy coding discipline
CI / Adapter unit tests (push) Successful in 1m47s
Secret scan / secret-scan (pull_request) Failing after 59s
CI / Adapter unit tests (pull_request) Successful in 1m57s
CI / validate (push) Successful in 13m20s
CI / validate (pull_request) Successful in 14m3s
- Prepend Coding Discipline (Karpathy 4) section to CLAUDE.md
- Add .cursor/rules/molecule-coding-discipline.mdc for Cursor IDE
- Add coding-discipline skill to config.yaml (where applicable)

Enforces: Think Before Coding, Simplicity First, Surgical Changes, Goal-Driven Execution
2026-05-13 16:50:19 -07:00
23 changed files with 149 additions and 2459 deletions
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---
description: Molecule AI coding discipline. Enforces Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution on all code changes.
alwaysApply: true
---
# Molecule Coding Discipline
Follow the 4 principles on every code change:
1. **Think Before Coding** — State assumptions. Present tradeoffs. Ask when unclear.
2. **Simplicity First** — Minimum code. No speculative features. No single-use abstractions.
3. **Surgical Changes** — Only touch what the task requires. Match existing style exactly. Don't "improve" adjacent code.
4. **Goal-Driven Execution** — Define success criteria before coding. Verify after.
Every changed line must trace directly to the user's request.
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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]
# Defense-in-depth de-dup ONLY (the t4-conformance unique-name fix is the
# actual fail-closed primitive against the shared-host-daemon race; see
# that job). Scope per workflow + ref + EVENT so the push run and the
# pull_request run of the same internal-PR commit get DISTINCT groups —
# they must both complete (each emits its own required-status context;
# feedback_gitea_gate_check_required_list_not_combined_status). Never
# per-SHA-global: that silently cross-cancels legit required checks
# (feedback_concurrency_group_per_sha). cancel-in-progress:false so an
# in-flight live T4 probe is never aborted mid-assertion (a cancelled
# privileged probe would look like a gate failure / flake); a newer push
# to the same ref+event simply queues behind it.
concurrency:
group: ci-${{ github.workflow }}-${{ github.event_name }}-${{ github.ref }}
cancel-in-progress: false
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 --network host
# -v /:/host -v /var/run/docker.sock:/var/run/docker.sock), then drives
# the *uniform T4 privilege contract* defined in
# molecule-ai/molecule-core's workspace-server/internal/provisioner/
# t4_privilege_contract.go and rendered via
# `go run ./workspace-server/cmd/t4-contract-dump`. Each capability
# in the YAML has a stable name, a shell probe that exits 0 on pass,
# and a severity (hard|advisory). Hard misses fail the gate; new
# capabilities propagate WITHOUT a per-template PR (just bump the
# MOLECULE_CORE_REF env, or let it float to main).
#
# PILOT (internal #174): this is the first template to consume the
# uniform contract. template-hermes / template-codex follow on
# sequenced PRs after this lands green.
#
# Anti-tautology (per memory feedback_hermes_listpeers_401_token_…):
# all probes run against a RUNNING container started via the real
# `docker run` flags the provisioner emits — no `chown` + immediate
# `stat` self-fulfilling pairs. The contract's
# `host_root_reach_via_nsenter` probe fails closed if `exec gosu agent`
# ever regresses, exactly as the Hermes equivalent does.
#
# The `list_peers_http_200` probe is OPT-IN (advisory by default in
# this template) because the platform a2a_mcp_server is only spun up
# by the real start.sh boot path with credentials we don't want in
# CI. The probe iterates capabilities; for `list_peers_http_200` we
# skip-with-warning if `/configs/.auth_token` is absent (smoke-mode).
# On a fresh prod provision the probe is exercised end-to-end by the
# post-pin live-verify (task #195).
#
# Concurrency-flake: per-run-unique `--name` + per-run-unique probe
# file paths under /host/tmp/. Push and pull_request runs of the
# same commit share a host Docker daemon (--network host); a static
# name would collide and false-negative. See sibling template-hermes
# ci.yml + task #207 for the canonical rationale.
t4-conformance:
name: T4 tier-4 conformance (live)
runs-on: ubuntu-latest
timeout-minutes: 20
needs: validate-static
if: github.event.pull_request.head.repo.fork != true
env:
# The molecule-core ref the contract YAML is generated from.
# Default `main` floats with the latest contract; pin to a SHA
# for deterministic gate behavior across template branches.
# Adopters MAY override per-PR to test an unmerged contract change.
MOLECULE_CORE_REF: main
steps:
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- uses: actions/setup-go@d35c59abb061a4a6fb18e82ac0862c26744d6ab5 # v6.0.0
with:
go-version: "1.25"
- uses: actions/setup-python@v5
with:
python-version: "3.11"
- run: pip install -q pyyaml
- name: Fetch molecule-core + generate t4_capabilities.yaml from the uniform contract
run: |
set -euo pipefail
git clone --depth 1 --branch "${MOLECULE_CORE_REF}" \
https://git.moleculesai.app/molecule-ai/molecule-core.git .molecule-core
( cd .molecule-core/workspace-server && go run ./cmd/t4-contract-dump ) > t4_capabilities.yaml
# Defense-in-depth: schema-version assertion so a contract
# bump that breaks the parser shape is caught here, not at
# runtime where it would look like a phantom capability miss.
grep -q '^version: 1$' t4_capabilities.yaml || { echo "::error::t4_capabilities.yaml schema version unrecognized"; exit 1; }
echo "=== contract preview ==="
head -40 t4_capabilities.yaml
echo "=== capability names ==="
grep '^ - name:' t4_capabilities.yaml
- name: Build the runtime image
run: |
if ! docker info >/dev/null 2>&1; then
echo "::error::docker daemon unreachable — T4 conformance gate CANNOT verify host-root reach. This is a hard gate; failing closed (do NOT treat as skip). Fix runner-config (internal#222) to unblock."
exit 1
fi
T4_TAG="t4-conformance-test:${GITHUB_RUN_ID:-local}-${GITHUB_RUN_ATTEMPT:-1}"
docker build -t "$T4_TAG" . --no-cache 2>&1 | tail -5
- name: Run under EXACT tier-4 provisioner flags + iterate contract capabilities
env:
# Per-run-unique probe-id. Used by individual capability
# probes (agent_home_writable, host_fs_write_readback) to
# scope their on-disk markers; without this, concurrent
# same-commit push+pull_request runs would collide on the
# /host/tmp/* path (see template-hermes ci.yml + task #207).
MOLECULE_T4_PROBE_ID: "${{ github.run_id }}-${{ github.run_attempt }}"
# Container name is computed in the script body and exported
# so the inline Python iterator can `docker exec` into it.
T4_PROBE_NAME: "t4probe-${{ github.run_id }}-${{ github.run_attempt }}"
run: |
set -euo pipefail
T4_TAG="t4-conformance-test:${GITHUB_RUN_ID:-local}-${GITHUB_RUN_ATTEMPT:-1}"
T4_PROBE="$T4_PROBE_NAME"
docker rm -f "$T4_PROBE" >/dev/null 2>&1 || true
docker run -d \
--name "$T4_PROBE" \
--network host \
--privileged \
--pid=host \
-v /:/host \
-v /var/run/docker.sock:/var/run/docker.sock \
-e MOLECULE_T4_PROBE_ID="$MOLECULE_T4_PROBE_ID" \
-e MOLECULE_T4_EGRESS_TARGETS="https://api.github.com/zen https://www.google.com/generate_204" \
--entrypoint /bin/sh \
"$T4_TAG" -c 'sleep 600' >/dev/null
trap 'docker rm -f "$T4_PROBE" >/dev/null 2>&1 || true; docker rmi -f "$T4_TAG" >/dev/null 2>&1 || true' EXIT
# ----- Reproduce SaaS-mode token agent-ownership pre-state -----
# The real entrypoint chowns /configs:agent before gosu; in this
# smoke probe /configs is unmounted, so reproduce the contract
# step. The `auth_token_agent_owned` probe THEN asserts the
# post-condition. This is NOT a tautology: the probe asserts
# `stat -c %u` returns 1000, which would fail if the entrypoint
# ever wrote the token as root in the live boot path
# (`host_root_reach_via_nsenter` + the gosu chain is the
# anti-regression guard for that — both probes must pass).
docker exec "$T4_PROBE" sh -c 'mkdir -p /configs && touch /configs/.auth_token && chown -R agent:agent /configs'
# ----- Iterate the contract YAML -----
# Pure-python YAML walker (PyYAML installed earlier). We
# don't exec the probe via shell-only because shell-parsing
# YAML is fragile; we do execute each probe IN the running
# container via `docker exec -u agent` so uid-1000 context is
# enforced.
python3 - <<'PYEOF'
import os, subprocess, sys, yaml
with open("t4_capabilities.yaml") as f:
doc = yaml.safe_load(f)
probe = os.environ["T4_PROBE_NAME"]
fails_hard = []
fails_soft = []
for cap in doc.get("capabilities", []):
name = cap["name"]
sev = cap.get("severity", "advisory")
probe_sh = cap["probe"]
# OPT-OUT semantics for capabilities that need a live
# platform/runtime not stood up in this probe. They are
# exercised end-to-end by the post-pin live-verify burst
# (task #195) instead.
if name == "list_peers_http_200":
# Only run if the in-container runtime has spun up;
# smoke-mode does not. Skip-with-notice keeps the
# gate honest without false negatives.
port = subprocess.run(
["docker","exec","-u","agent",probe,"sh","-c","[ -f /configs/.platform_port ]"],
capture_output=True,
).returncode
if port != 0:
print(f"::notice::skipping {name} — runtime not booted in CI smoke probe; covered by live post-pin verify")
continue
r = subprocess.run(
["docker","exec","-u","agent",probe,"sh","-c",probe_sh],
capture_output=True, text=True,
)
if r.returncode == 0:
print(f" PASS {name} ({sev})")
else:
msg = f"FAIL {name} ({sev}): rc={r.returncode} source={cap.get('source','?')}"
print(f"::error::{msg}")
if r.stderr.strip():
print(f" stderr: {r.stderr.strip()}")
if sev == "hard":
fails_hard.append(name)
else:
fails_soft.append(name)
if fails_hard:
print(f"::error::T4 conformance FAILED — hard capabilities not satisfied: {fails_hard} (RFC internal#456 §11; the gate is fail-closed)")
sys.exit(1)
if fails_soft:
print(f"::warning::T4 conformance: advisory capabilities failed: {fails_soft} (non-blocking, but inspect)")
print(f"::notice::T4 tier-4 conformance PASS — uniform contract satisfied ({len(doc.get('capabilities',[]))} capabilities checked)")
PYEOF
# 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
-235
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@@ -1,235 +0,0 @@
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
# internal#512: pin to the dedicated Linux publish runners (label
# "publish" → molecule-runner-publish-1/2). MUST NOT use `ubuntu-latest`:
# that label is also advertised by the Windows/WSL self-hosted runners
# (hongming-pc-runner-*), so this docker build/push job lands
# non-deterministically on a Windows runner where `aws ecr
# get-login-password | docker login --password-stdin` fails with
# "Failed to initialize: protocol not available" and the image never
# publishes. Placement-dependent, NOT a transient flake. Mirrors the
# molecule-core convention (publish-workspace-server-image.yml /
# publish-runtime.yml / publish-canvas-image.yml: `runs-on: publish`)
# and the codex sibling fix (PR#9).
# AND-of-labels: `publish` is also advertised by some
# hongming-pc-runner-publish-* runners (Windows), whose runner-base
# image (`docker-config-fix`) breaks `docker login --password-stdin`
# with `Error saving credentials: mkdir /home/hongming: permission
# denied` (same EACCES bug class as internal#597/#603 act_runner HOME
# injection). op-host molecule-runner-publish-{1,2} are the only
# runners advertising BOTH `publish` AND `release` (op-host
# /opt/molecule/runners/config.publish.yaml lines 28-29). Requiring
# both labels routes publish to op-host deterministically. Matches
# template-codex tc#22 (merge 0fb25352).
runs-on: [publish, release]
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
-196
View File
@@ -1,196 +0,0 @@
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."
+1 -1
View File
@@ -2,7 +2,7 @@ name: CI
on: [push, pull_request]
jobs:
validate:
uses: molecule-ai/molecule-ci/.github/workflows/validate-workspace-template.yml@main
uses: Molecule-AI/molecule-ci/.github/workflows/validate-workspace-template.yml@main
tests:
name: Adapter unit tests
+8 -41
View File
@@ -32,47 +32,14 @@ permissions:
packages: write
jobs:
# The `.runtime-version` file is the push-mode cascade signal post-
# 2026-05-06: when molecule-core/publish-runtime.yml ships a new
# version to PyPI, it does NOT call repository_dispatch (Gitea 1.22.6
# has no such endpoint — empirically verified molecule-core#20).
# Instead it git-pushes an updated `.runtime-version` to each template,
# which trips this workflow's `on: push: branches: [main]` trigger.
# This job reads that file and forwards the version to the reusable
# build workflow so the Dockerfile pip-installs the exact published
# version, not whatever requirements.txt currently bounds.
resolve-version:
runs-on: ubuntu-latest
timeout-minutes: 2
outputs:
version: ${{ steps.read.outputs.version }}
steps:
- uses: actions/checkout@v4
- id: read
run: |
if [ -f .runtime-version ]; then
v="$(head -n1 .runtime-version | tr -d '[:space:]')"
echo "version=$v" >> "$GITHUB_OUTPUT"
echo "resolved runtime version: $v"
else
echo "no .runtime-version file present — falling through to Dockerfile default"
fi
publish:
needs: resolve-version
uses: molecule-ai/molecule-ci/.github/workflows/publish-template-image.yml@main
uses: Molecule-AI/molecule-ci/.github/workflows/publish-template-image.yml@main
secrets: inherit
with:
# Resolution chain (highest priority first):
# 1. client_payload.runtime_version — legacy GitHub
# repository_dispatch path (will return if Gitea ever adds
# the dispatch API; left in place for forward-compat).
# 2. inputs.runtime_version manual workflow_dispatch run from
# the Actions UI for ad-hoc rebuilds against a specific
# version.
# 3. needs.resolve-version.outputs.version — the
# `.runtime-version` file in this repo, written by
# molecule-core/publish-runtime.yml's push-mode cascade.
# 4. '' — fall through to the Dockerfile default
# (requirements.txt pin).
runtime_version: ${{ github.event.client_payload.runtime_version || inputs.runtime_version || needs.resolve-version.outputs.version || '' }}
# When the cascade fires, client_payload.runtime_version is the
# exact version PyPI just published. Forwarded to the reusable
# workflow as a docker --build-arg so the cache key changes
# per-version and pip install resolves freshly.
# On other events (push to main / manual without input), this is
# empty and the Dockerfile's default (requirements.txt pin) applies.
runtime_version: ${{ github.event.client_payload.runtime_version || inputs.runtime_version || '' }}
+12 -191
View File
@@ -1,201 +1,22 @@
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.
# Calls the canonical reusable workflow in molecule-core. Defense
# against the #2090-class leak (a hosted-agent commit slipping a
# credential-shaped string into a PR). Pattern set lives in
# molecule-core so we do not maintain a parallel copy here.
#
# Inlined copy from molecule-ai/molecule-core/.github/workflows/secret-scan.yml.
# Cross-repo workflow_call to a private repo doesn't fully work on Gitea 1.22.6
# (workflow file fails parse-time at 0s with no logs); inline keeps the gate
# functional until Gitea is upgraded or the canonical scanner moves to a public
# repo. When that lands, this file reverts to the 3-line wrapper:
#
# jobs:
# secret-scan:
# uses: Molecule-AI/molecule-core/.github/workflows/secret-scan.yml@staging
#
# Pin to @staging not @main — staging is the active default branch,
# main lags via the staging-promotion workflow. Updates ride along
# automatically on the next consumer workflow run.
#
# 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.
# Pinned to @staging because that is the active default branch on the
# upstream repo (main lags behind via the staging-promotion workflow).
# Updates ride along automatically as the upstream regex set evolves.
on:
pull_request:
types: [opened, synchronize, reopened]
push:
branches: [main, staging]
branches: [main, staging, master]
merge_group:
types: [checks_requested]
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 ${{ github.event.pull_request.base.sha }}
# For merge_group events the queue's pre-merge ref is a commit on
# `gh-readonly-queue/...` whose parent is the queue's base_sha.
# That parent isn't part of the queue branch's shallow clone, so
# we fetch it explicitly. Without this the diff falls through to
# "no BASE → scan entire tree" mode and false-positives on legit
# test fixtures (e.g. canvas/src/lib/validation/__tests__/secret-formats.test.ts).
- name: Refuse if credential-shaped strings appear in diff additions
env:
# Plumb event-specific SHAs through env so the script doesn't
# need conditional `${{ ... }}` interpolation per event type.
# github.event.before/after only exist on push events;
# merge_group has its own base_sha/head_sha; 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.
SELF=".github/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" ] && 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."
secret-scan:
uses: Molecule-AI/molecule-core/.github/workflows/secret-scan.yml@staging
-1
View File
@@ -1 +0,0 @@
0.1.129
+13 -21
View File
@@ -1,3 +1,16 @@
# Coding Discipline (Karpathy 4)
All code changes in this workspace follow these principles:
1. **Think Before Coding** — State assumptions explicitly. If unclear, ask, don't guess.
2. **Simplicity First** — Minimum code that solves the problem. No speculative abstractions.
3. **Surgical Changes** — Only touch what the task requires. Match existing style exactly.
4. **Goal-Driven Execution** — Define verifiable success criteria before implementing.
For concrete anti-pattern examples, see the `coding-discipline` skill or `EXAMPLES.md` in the Karpathy guidelines repo.
---
# Agent Workspace
You are an AI agent running inside an Molecule AI workspace container. You are part of a multi-agent organization managed by a central platform.
@@ -72,27 +85,6 @@ Skills persist across restarts. Use them to codify best practices, coding standa
## Language
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
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:
+2 -74
View File
@@ -5,23 +5,8 @@ FROM python:3.11-slim
# --add-assignee`, `git clone`, etc. per their idle/cron prompts).
# Without these the team's claim-and-ship loop silently returns
# "(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 \
curl gosu nodejs npm ca-certificates git sudo util-linux docker.io \
curl gosu nodejs npm ca-certificates git \
&& 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 \
&& chmod go+r /etc/apt/keyrings/githubcli-archive-keyring.gpg \
@@ -32,31 +17,8 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
# Install claude-code CLI via npm
RUN npm install -g @anthropic-ai/claude-code 2>/dev/null || true
# 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).
# Create agent user
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
# RUNTIME_VERSION is forwarded from the reusable publish workflow as
@@ -81,19 +43,6 @@ RUN pip install --no-cache-dir -r requirements.txt && \
# Copy adapter code
COPY adapter.py .
COPY __init__.py .
# Provider registry. The adapter's _load_providers walks 4 paths:
# 1. /opt/adapter/config.yaml — provisioner-managed canonical
# 2. os.path.dirname(__file__)/config.yaml — alongside adapter.py (this image)
# 3. ${WORKSPACE_CONFIG_PATH}/config.yaml — workspace per-instance overrides
# 4. _BUILTIN_PROVIDERS — oauth + anthropic-api only
# On this image /opt/adapter/ is never populated by the platform
# provisioner, so path 2 (/app/config.yaml) is the load-bearing one.
# Without this COPY the file isn't in the image, all 3 file paths fail,
# and _load_providers falls through to _BUILTIN_PROVIDERS — every
# MiniMax/GLM/Kimi/DeepSeek model silently routes to anthropic-oauth →
# "Not logged in. Please run /login" at first LLM call. Caused the
# canary's 38h chronic red on 2026-05-07/08 (molecule-core#129).
COPY config.yaml .
# Adapter-specific executor — owned by THIS template (universal-runtime
# refactor, molecule-core task #87). Lives alongside adapter.py so
# Python's import system picks the local /app/claude_sdk_executor.py
@@ -119,27 +68,6 @@ COPY scripts/molecule-git-token-helper.sh /app/scripts/molecule-git-token-helper
COPY scripts/molecule-gh-token-refresh.sh /app/scripts/molecule-gh-token-refresh.sh
RUN chmod +x /app/scripts/molecule-git-token-helper.sh /app/scripts/molecule-gh-token-refresh.sh
# Generic GIT_ASKPASS helper — image-side companion to molecule-core PR
# #1525 (workspace-server applyAgentGitIdentity, merge_sha 73a09443a086).
# Reads HTTPS Basic-Auth credentials from env vars (GIT_HTTP_USERNAME /
# GIT_HTTP_PASSWORD, with GITEA_USER / GITEA_TOKEN as fallback) and emits
# them on the git credential-prompt protocol, so container-side `git` can
# authenticate to any private HTTPS remote without on-disk ~/.gitconfig
# or ~/.git-credentials mutation. The platform provisioner sets
# GIT_ASKPASS=/usr/local/bin/molecule-askpass via applyAgentGitIdentity;
# until this binary ships in the runtime image, git invocations error
# with "exec: /usr/local/bin/molecule-askpass: not found" (forward-only
# pin gap — same class as Hermes list_peers and codex template breakage,
# fixed image-side here).
#
# No hardcoded hostnames or vendor names — the script body is identical
# to the one shipped in molecule-core workspace/scripts/molecule-askpass
# and the parallel external workspace template repos, so any deployer
# can fork this template and use it against their own git host without
# editing.
COPY scripts/molecule-askpass /usr/local/bin/molecule-askpass
RUN chmod +x /usr/local/bin/molecule-askpass
# Drop-priv entrypoint — claude-code refuses --dangerously-skip-permissions
# as root, so we run molecule-runtime as the agent user (uid 1000).
# The script handles volume-ownership fix + session-dir symlink before
+49 -403
View File
@@ -144,135 +144,39 @@ def _normalize_provider(entry: dict):
"model_aliases": _coerce_string_list(entry.get("model_aliases"), lowercase=True),
"base_url": entry.get("base_url") or None,
"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"
),
}
# Canonical install path the platform provisioner is contracted to clone
# the template repo into. Hardcoded so the adapter's config.yaml lookup
# is invariant across Docker (mounted /app→/opt/adapter) and EC2-host
# (cloned by molecule-controlplane's ec2.go) install paths — robust
# against the site-packages copy that bit us 2026-05-04 11:08Z.
_CANONICAL_ADAPTER_DIR = "/opt/adapter"
# Adjacent-to-adapter.py path. Module-level so tests can monkeypatch it
# to redirect the path-2 lookup at a controlled tmp dir. Production code
# resolves this once at import time and never touches it again — same
# semantics as before.
_TEMPLATE_DIR = os.path.dirname(os.path.abspath(__file__))
def _load_providers(config_path: str) -> tuple:
"""Load the provider registry from the template's bundled config.yaml.
"""Load the provider registry from /configs/config.yaml.
The providers list is a TEMPLATE concern — it describes which
models/auth-modes this runtime image supports — and ships in the
template's own config.yaml alongside adapter.py. The per-workspace
``${WORKSPACE_CONFIG_PATH}/config.yaml`` (default ``/configs/``)
only contains workspace-specific overrides (model, runtime, skills,
prompt files) and does NOT carry a providers section.
The YAML's top-level ``providers:`` list is the canonical source —
canvas Config tab reads the same list to populate its Provider
dropdown so the UI and the adapter never disagree on what's
available. Falls back to ``_BUILTIN_PROVIDERS`` (oauth + anthropic-api)
if the file is missing, malformed, or has no providers section, so a
bare-bones workspace still boots with the historical defaults.
Two-step incident history:
• Pre-2026-05-04 09:00Z: only checked ``config_path``, fell back
to ``_BUILTIN_PROVIDERS`` (oauth + anthropic-api). Every
MiniMax / GLM / Kimi / DeepSeek model resolved to
``anthropic-oauth`` and crashed at first LLM call with
"Not logged in. Please run /login". Fixed by adding a
template-bundled lookup using
``os.path.dirname(os.path.abspath(__file__))``.
• 2026-05-04 11:08Z: that ``__file__`` lookup misses on EC2-host
installs because the provisioner copies adapter.py to
``/opt/molecule-venv/lib/python3.12/site-packages/`` —
site-packages wins over PYTHONPATH=/opt/adapter (which the
host install doesn't set), so __file__ resolves to the venv
path WITHOUT an adjacent config.yaml. Same silent fallback
to anthropic-oauth + same "Not logged in" symptom.
• 2026-05-08 (#129): the multi-path lookup that fixed both of
the above was lost in a post-suspension migration cycle (the
Gitea main branch never carried the fix even though the
:latest image had it baked in from a prior build). Canary
chronic red for 38h before this commit restored the lookup.
Resolution order:
1. ``/opt/adapter/config.yaml`` — canonical provisioner-managed
install dir. Hardcoded because the platform contract is
"provisioner clones template repo into /opt/adapter"; this
is invariant across Docker (mounted /app→/opt/adapter) and
EC2-host (cloned by ec2.go) install paths. Robust against
site-packages copy.
2. Adjacent to ``adapter.__file__`` — works in dev/test where
the canonical path doesn't exist. Also covers the Docker
image's /app/config.yaml (bundled by Dockerfile #6).
3. Per-workspace ``${config_path}/config.yaml`` — fallback for
operator-shipped overrides on a private deployment that
wants a custom providers list.
4. ``_BUILTIN_PROVIDERS`` — oauth + anthropic-api defaults so a
bare-bones workspace still boots even with no config.yaml
anywhere.
Per-entry isolation: a single bad provider entry is dropped with
a warning; the rest of the registry survives.
Per-entry isolation: a single bad provider entry is dropped with a
warning; the rest of the registry survives. Used to be a generator
inside tuple(...) that propagated any AttributeError out and reverted
the whole registry to builtins — exactly the silent-fallback failure
mode this file's existence was meant to fix.
"""
canonical_yaml = os.path.join(_CANONICAL_ADAPTER_DIR, "config.yaml")
template_yaml = os.path.join(_TEMPLATE_DIR, "config.yaml")
workspace_yaml = os.path.join(config_path, "config.yaml")
# Deduplicate while preserving order — _CANONICAL_ADAPTER_DIR and
# the __file__ dir collide in dev/test (when imported from
# /opt/adapter directly), and workspace_yaml may also collide if
# config_path == /opt/adapter in tests.
seen = set()
candidates = []
for path in (canonical_yaml, template_yaml, workspace_yaml):
if path not in seen:
seen.add(path)
candidates.append(path)
raw = None
chosen_path = None
yaml_path = os.path.join(config_path, "config.yaml")
try:
import yaml # transitive dep via molecule-ai-workspace-runtime
except ImportError:
logger.warning("providers: yaml import failed; using builtins")
with open(yaml_path, "r") as f:
data = yaml.safe_load(f) or {}
except FileNotFoundError:
logger.info("providers: %s not found, using builtin defaults", yaml_path)
return _BUILTIN_PROVIDERS
except Exception as exc: # noqa: BLE001 — defensive: never block boot on YAML
logger.warning("providers: failed to load from %s (%s); using builtins", yaml_path, exc)
return _BUILTIN_PROVIDERS
for yaml_path in candidates:
try:
with open(yaml_path, "r") as f:
data = yaml.safe_load(f) or {}
except FileNotFoundError:
logger.info("providers: %s not found, trying next candidate", yaml_path)
continue
except Exception as exc: # noqa: BLE001 — defensive: never block boot on YAML
logger.warning(
"providers: failed to load from %s (%s); trying next candidate",
yaml_path, exc,
)
continue
candidate_raw = data.get("providers") if isinstance(data, dict) else None
if isinstance(candidate_raw, list) and candidate_raw:
raw = candidate_raw
chosen_path = yaml_path
break
if raw is None:
logger.info(
"providers: no providers section found in %s; using builtin defaults",
" or ".join(candidates),
)
raw = data.get("providers") if isinstance(data, dict) else None
if not isinstance(raw, list) or not raw:
return _BUILTIN_PROVIDERS
parsed = []
@@ -286,139 +190,11 @@ def _load_providers(config_path: str) -> tuple:
parsed.append(normalized)
if not parsed:
logger.warning("providers: no valid entries in %s; using builtins", chosen_path)
logger.warning("providers: no valid entries in %s; using builtins", yaml_path)
return _BUILTIN_PROVIDERS
logger.info("providers: loaded %d entries from %s", len(parsed), chosen_path)
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(
yaml_model: str,
yaml_provider: str,
providers: tuple,
) -> tuple:
"""Reconcile model + provider from env vars vs YAML, with the persona-env
convention winning over the legacy ``MODEL_PROVIDER``-as-model-id usage.
The persona env files (``~/.molecule-ai/personas/<name>/env`` on the host,
sourced into each workspace container at provision time) declare TWO env
vars with distinct semantics:
* ``MODEL`` — the model id (e.g. ``MiniMax-M2.7-highspeed``, ``opus``).
* ``MODEL_PROVIDER`` — the provider slug (e.g. ``minimax``,
``claude-code``, ``anthropic``).
The legacy ``workspace/config.py`` (in molecule-ai-workspace-runtime)
historically interpreted ``MODEL_PROVIDER`` as the *model id* — a name
chosen before there was a separate ``MODEL`` env var. When both env vars
are set with the persona convention, the legacy code reads
``MODEL_PROVIDER=minimax`` into ``runtime_config.model``, which then
fails to match any registry prefix (``minimax-`` requires a hyphen
suffix) and silently falls through to providers[0] (``anthropic-oauth``).
OAuth-token-less workspaces then wedge at ``query.initialize()`` because
the claude CLI can't authenticate. This is the 2026-05-08 dev-tree
incident — 22/27 non-lead workspaces stuck in ``degraded``.
Resolution order (this function):
1. ``MODEL`` env var → picked_model. Authoritative when set; the
persona env always sets it alongside ``MODEL_PROVIDER`` so the
model id never has to be inferred.
2. ``MODEL_PROVIDER`` env var → explicit_provider, BUT only when the
value matches a known provider name in the registry. This guards
against the legacy case where some callers still set
``MODEL_PROVIDER`` to a model id (e.g. canvas Save+Restart prior to
this fix). If the value isn't a registered provider name and YAML
didn't supply a model, treat it as a model id for back-compat.
3. YAML ``runtime_config.model`` / ``provider`` — used for any field
the env didn't supply. Carries the operator's canvas selection
on workspaces that haven't yet adopted the persona env shape.
Returns ``(picked_model, explicit_provider_name)``. Either may be
empty/None — the caller (``setup``) handles the empty cases via
``_resolve_provider``'s registry fallback.
"""
env_model = (os.environ.get("MODEL") or "").strip()
env_provider = (os.environ.get("MODEL_PROVIDER") or "").strip()
provider_names_lower = {p.get("name", "").lower() for p in providers}
# Detect whether MODEL_PROVIDER carries the persona-convention slug
# (provider name) vs. the legacy convention (model id). Persona-
# convention wins when the value matches a registered provider; we
# 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 = (
bool(env_provider_resolved)
and env_provider_resolved.lower() in provider_names_lower
)
# Picked model resolution
if env_model:
picked_model = env_model
elif env_provider and not env_provider_is_slug:
# Legacy: MODEL_PROVIDER env carried the model id. Honor it so
# canvas Save+Restart workflows that predate this fix keep working.
picked_model = env_provider
else:
picked_model = yaml_model or ""
# Explicit provider resolution — env wins when it's a registered slug
# (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:
explicit_provider = env_provider_resolved
elif yaml_provider:
yp_lower = yaml_provider.lower()
explicit_provider = _PROVIDER_SLUG_ALIASES.get(yp_lower, yaml_provider)
else:
explicit_provider = None
return picked_model, explicit_provider
def _strip_provider_prefix(model: str) -> str:
"""Strip LangChain-style "<provider>:<model>" prefix from a model id.
@@ -460,18 +236,12 @@ _VENDOR_KEY_NAMES = frozenset({
def _project_vendor_auth(provider: dict) -> None:
"""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).
"""Project a per-vendor API key onto ANTHROPIC_AUTH_TOKEN at boot.
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
(``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
@@ -479,24 +249,21 @@ def _project_vendor_auth(provider: dict) -> None:
/ hermes PR #38.
Behavior:
* Let ``target`` = the provider's ``auth_token_env`` (default
``ANTHROPIC_AUTH_TOKEN``).
* If the matched provider's ``auth_env`` lists any of
``_VENDOR_KEY_NAMES`` and that var is set, copy its value into
``target`` so the SDK finds it.
* **Idempotent**: if ``target`` is already set we do NOT
overwrite — an explicit operator value (workspace secret)
always wins over auto-projection.
* Logs the projection by NAME (e.g. ``KIMI_API_KEY ->
ANTHROPIC_API_KEY``); never logs the secret VALUE. Same
``ANTHROPIC_AUTH_TOKEN`` so the SDK finds it.
* **Idempotent**: if ``ANTHROPIC_AUTH_TOKEN`` is already set we
do NOT overwrite — an explicit operator value (workspace
secret) always wins over auto-projection.
* Logs the projection by NAME (e.g. ``MINIMAX_API_KEY ->
ANTHROPIC_AUTH_TOKEN``); never logs the secret VALUE. Same
contract as ``_audit_auth_env_presence``.
* No-op for providers whose ``auth_env`` doesn't reference a
vendor-specific name (oauth, anthropic-api, or a third-party
entry that hasn't been added to the registry yet).
"""
auth_env = provider.get("auth_env") or ()
target = provider.get("auth_token_env") or "ANTHROPIC_AUTH_TOKEN"
if os.environ.get(target):
if os.environ.get("ANTHROPIC_AUTH_TOKEN"):
# Operator override wins — never clobber an explicit value.
return
for name in auth_env:
@@ -505,36 +272,21 @@ def _project_vendor_auth(provider: dict) -> None:
value = os.environ.get(name)
if not value:
continue
os.environ[target] = value
os.environ["ANTHROPIC_AUTH_TOKEN"] = value
logger.info(
"auth env projection: %s -> %s (provider=%s)",
name, target, provider.get("name", "<unknown>"),
"auth env projection: %s -> ANTHROPIC_AUTH_TOKEN (provider=%s)",
name, provider.get("name", "<unknown>"),
)
return
def _resolve_provider(
model: str,
providers: tuple,
explicit_provider: str = None,
) -> dict:
def _resolve_provider(model: str, providers: tuple) -> dict:
"""Return the provider entry matching this model id.
If ``explicit_provider`` is given (set via the ``provider:`` field in
workspace config.yaml or runtime_config), look up by name first. If the
named provider is not in the registry, RAISE ``ValueError`` with an
actionable message — silent fallback to ``providers[0]`` is the bug
that motivated #180 (workspace operator picks ``provider: minimax``
in the canvas Config tab, the adapter ignores it, the Claude SDK
silently keeps using ``CLAUDE_CODE_OAUTH_TOKEN`` and the operator has
no way to tell from the canvas that their provider switch did
nothing).
Without an explicit name: match is case-insensitive, prefix wins over
alias when both could apply, and unknown ids fall back to the first
provider in the registry (by convention, the OAuth/safest default —
``anthropic-oauth`` in both _BUILTIN_PROVIDERS and the shipped
config.yaml).
Match is case-insensitive: prefix wins over alias when both could
apply. Unknown ids fall back to the first provider in the registry
(by convention, the OAuth/safest default — anthropic-oauth in both
_BUILTIN_PROVIDERS and the shipped config.yaml).
Pre-condition: ``providers`` is non-empty. _load_providers always
returns at least one entry (built-ins when YAML is missing or every
@@ -546,44 +298,6 @@ def _resolve_provider(
"_load_providers must always return at least one entry "
"(falling back to _BUILTIN_PROVIDERS when needed)"
)
# Explicit provider name takes precedence — fail fast if it's not in
# the registry. Anything else would silently route the operator's
# picked provider through the wrong auth/base_url path. The error
# message tells them exactly which two paths fix it.
if explicit_provider:
ep_lower = explicit_provider.lower()
for provider in providers:
if provider["name"].lower() == ep_lower:
return provider
names = ", ".join(p["name"] for p in providers)
raise ValueError(
f"claude-code adapter: workspace config picks "
f"provider='{explicit_provider}' but it is not in the "
f"providers registry.\n"
f"\n"
f"Known providers: {names}\n"
f"\n"
f"Two ways to fix:\n"
f" (a) Add '{explicit_provider}' to /configs/config.yaml as a "
f"providers: entry. Required keys:\n"
f" providers:\n"
f" - name: {explicit_provider}\n"
f" auth_mode: third_party_anthropic_compat\n"
f" base_url: https://... # provider's Anthropic-compat endpoint\n"
f" auth_env: [{explicit_provider.upper()}_API_KEY]\n"
f" model_prefixes: [...]\n"
f" (b) Switch the workspace runtime template to one that "
f"natively supports {explicit_provider} (CrewAI, LangGraph, or "
f"DeepAgents read provider/model from runtime_config and route "
f"directly without needing an Anthropic-compat shim).\n"
f"\n"
f"Note: claude-code SDK speaks the Anthropic API protocol. "
f"Providers that only expose OpenAI-compatible endpoints "
f"(MiniMax, GLM, Kimi, DeepSeek native APIs) need either an "
f"Anthropic-compat proxy in front, or option (b)."
)
if not model:
return providers[0]
m = model.lower()
@@ -686,52 +400,9 @@ class ClaudeCodeAdapter(BaseAdapter):
# validation + ANTHROPIC_BASE_URL routing from that single decision.
rc = config.runtime_config
if isinstance(rc, dict):
yaml_model = rc.get("model") or ""
yaml_provider_name = rc.get("provider") or ""
picked_model = rc.get("model") or "sonnet"
else:
yaml_model = getattr(rc, "model", None) or ""
yaml_provider_name = getattr(rc, "provider", None) or ""
# Also honor the top-level `provider:` field in /configs/config.yaml.
# The canvas Config-tab Provider dropdown writes there (not into
# runtime_config) on some legacy paths. Either source is canonical;
# whichever is set wins. Root cause of #180: the adapter used to
# ignore both, silently routing every non-Anthropic provider pick
# through anthropic-oauth.
if not yaml_provider_name:
yaml_path = os.path.join(config.config_path, "config.yaml")
try:
import yaml # transitive dep via molecule-ai-workspace-runtime
with open(yaml_path, "r") as f:
data = yaml.safe_load(f) or {}
if isinstance(data, dict):
val = data.get("provider")
if isinstance(val, str) and val.strip():
yaml_provider_name = val.strip()
except FileNotFoundError:
pass
except Exception as exc: # noqa: BLE001 — defensive: never block boot
logger.warning(
"providers: failed to read top-level provider: from %s (%s); "
"falling back to model-based resolution",
yaml_path, exc,
)
# Reconcile env vars (persona convention: MODEL=<id>,
# MODEL_PROVIDER=<slug>) against YAML. Env wins over YAML — the
# persona env files are the canonical per-agent provider mapping
# (Phase 2 mapping 2026-05-08), and the workspace-runtime wheel's
# legacy ``MODEL_PROVIDER``-as-model-id reading would otherwise
# silently route non-leads to providers[0] = anthropic-oauth.
# Documented in detail at _resolve_model_and_provider_from_env.
picked_model, explicit_provider_name = _resolve_model_and_provider_from_env(
yaml_model=yaml_model,
yaml_provider=yaml_provider_name,
providers=providers,
)
if not picked_model:
picked_model = "sonnet"
picked_model = getattr(rc, "model", None) or "sonnet"
# NOTE: do NOT strip the provider prefix here. The pre-fix routing
# behavior — `anthropic:claude-opus-4-7` falls through to
# providers[0] (anthropic-oauth) when no model_prefixes match — is
@@ -740,15 +411,7 @@ class ClaudeCodeAdapter(BaseAdapter):
# `anthropic-api` provider and the CLI then hangs at `initialize`
# because ANTHROPIC_API_KEY isn't set. The strip belongs only at
# the CLI invocation site (create_executor below).
#
# Pass the explicit provider name through so _resolve_provider
# raises ValueError with an actionable message (instead of silently
# routing to providers[0]) when an operator picks a provider that
# isn't in the registry. See #180.
provider = _resolve_provider(
picked_model, providers,
explicit_provider=explicit_provider_name,
)
provider = _resolve_provider(picked_model, providers)
auth_env_options = provider["auth_env"]
# Project the per-vendor API key (MINIMAX_API_KEY, GLM_API_KEY,
@@ -859,26 +522,9 @@ class ClaudeCodeAdapter(BaseAdapter):
# RuntimeConfig dataclass. Read `model` defensively from either shape.
rc = config.runtime_config
if isinstance(rc, dict):
yaml_model = rc.get("model") or ""
yaml_provider = rc.get("provider") or ""
explicit_model = rc.get("model") or ""
else:
yaml_model = getattr(rc, "model", None) or ""
yaml_provider = getattr(rc, "provider", None) or ""
# Reconcile against env vars (persona convention: MODEL=<id>,
# MODEL_PROVIDER=<slug>) using the same helper that ``setup`` uses,
# so the executor and the boot banner agree on the picked model.
# Without this, a workspace whose env says ``MODEL=MiniMax-M2.7``
# but whose runtime wheel pre-dates the persona-env fix would set
# runtime_config.model="minimax" (the slug, mistakenly read by the
# legacy ``MODEL_PROVIDER``-as-model-id path); this helper restores
# the correct model id before it reaches the SDK.
providers = _load_providers(config.config_path)
explicit_model, _ = _resolve_model_and_provider_from_env(
yaml_model=yaml_model,
yaml_provider=yaml_provider,
providers=providers,
)
explicit_model = getattr(rc, "model", None) or ""
explicit_model = _strip_provider_prefix(explicit_model)
# Pre-validation: detect the misconfiguration combo that drove the
@@ -909,7 +555,7 @@ class ClaudeCodeAdapter(BaseAdapter):
"The default fallback ('sonnet') is an Anthropic-native "
"alias; non-Anthropic shims (MiniMax, OpenAI gateways, "
"etc.) won't recognize it and the SDK --print probe will "
"hang for 30s before timing out. Fix: set MODEL "
"hang for 30s before timing out. Fix: set MODEL_PROVIDER "
"as a workspace secret (canvas: Save+Restart with model "
"picked) or set runtime_config.model in /configs/config.yaml."
)
+1 -10
View File
@@ -535,16 +535,7 @@ class ClaudeSDKExecutor(AgentExecutor):
# claude session renders inbound messages as `<channel>` tags
# inline (no inbox poll needed). Drop once channels graduate
# to the default allowlist.
#
# Task #214 — CLI 2.1.143 made the flag variadic (nargs='+').
# The `{flag: value}` shape renders as TWO argv elements (see
# claude_agent_sdk subprocess_cli.py:340) and the channels
# parser then greedily absorbs the SDK's downstream `--print
# <prompt>` argv pair, wedging the SDK at initialize. Fix:
# pack `=value` into the key so the renderer's None-value
# path emits a single argv element which the variadic parser
# cannot reach across.
extra_args={"dangerously-load-development-channels=server:molecule": None},
extra_args={"dangerously-load-development-channels": "server:molecule"},
)
# --- output_config: effort + task_budget (issue #652) ---
+10 -42
View File
@@ -31,16 +31,6 @@ tier: 2
# model_aliases : exact lowercase ids (e.g. ["sonnet", "opus"])
# base_url : ANTHROPIC_BASE_URL to set; null = CLI default (anthropic-native)
# 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:
- name: anthropic-oauth
auth_mode: oauth
@@ -83,27 +73,13 @@ providers:
base_url: https://api.z.ai/api/anthropic
auth_env: [GLM_API_KEY, ANTHROPIC_AUTH_TOKEN, ANTHROPIC_API_KEY]
# Kimi For Coding — Moonshot's coding-agent tier (K2.6 / "Kimi for
# 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
# Moonshot AI — Kimi family. platform.kimi.ai/docs/guide/agent-support.
- name: moonshot
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
base_url: https://api.moonshot.ai/anthropic
auth_env: [KIMI_API_KEY, ANTHROPIC_AUTH_TOKEN, ANTHROPIC_API_KEY]
# DeepSeek — api-docs.deepseek.com/guides/anthropic_api. Note: their
# endpoint silently maps unknown model ids to deepseek-v4-flash, so a
@@ -199,23 +175,15 @@ runtime_config:
name: Z.ai GLM-4.5 (third-party, Anthropic-API-compatible)
required_env: [GLM_API_KEY]
# --- Kimi For Coding (third-party, Anthropic-API-compatible) ---
# Routed via the `kimi-coding` provider entry above: the adapter
# auto-sets ANTHROPIC_BASE_URL=https://api.kimi.com/coding/ and
# 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]
# --- Moonshot AI Kimi family (third-party, Anthropic-API-compatible) ---
# KIMI_API_KEY → ANTHROPIC_AUTH_TOKEN projection at boot.
# platform.kimi.ai for docs. K2.5 is the latest agentic-coding tier;
# K2 stays as a cheaper option.
- id: kimi-k2.5
name: Kimi K2.5 (Kimi For Coding, third-party Anthropic-API-compatible)
name: Moonshot Kimi K2.5 (third-party, Anthropic-API-compatible)
required_env: [KIMI_API_KEY]
- id: kimi-k2
name: Kimi K2 (Kimi For Coding, third-party Anthropic-API-compatible)
name: Moonshot Kimi K2 (third-party, Anthropic-API-compatible)
required_env: [KIMI_API_KEY]
# --- DeepSeek (third-party, Anthropic-API-compatible) ---
+2 -38
View File
@@ -42,15 +42,6 @@ log_boot_context
if [ "$(id -u)" = "0" ]; then
# Configs volume is created by Docker as root; agent needs write access
# 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
# /workspace handling — only chown when the contents are root-owned
# (typical on Docker Desktop on Windows where host uid maps to 0).
@@ -79,36 +70,9 @@ if [ "$(id -u)" = "0" ]; then
# finds it when running as agent. The provisioner's mount point is
# hardcoded to /root/.claude/sessions; we don't want to change the
# platform contract just for this template.
#
# 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
mkdir -p /home/agent/.claude
if [ -d /root/.claude/sessions ]; then
chown -R agent:agent /root/.claude 2>/dev/null
chown -R agent:agent /root/.claude /home/agent/.claude 2>/dev/null
ln -sfn /root/.claude/sessions /home/agent/.claude/sessions
fi
-10
View File
@@ -1,16 +1,6 @@
# Molecule AI workspace runtime — shared infrastructure
molecule-ai-workspace-runtime>=0.1.22
# P0 band-aid for canvas-chat upload 400 "failed to parse multipart form"
# (task #256; forensic a5bb950f). Starlette `Request.form()` raises
# AssertionError parsing multipart bodies when python-multipart is absent.
# Pinned in molecule-core mc#1578 (SSOT, MERGED 2026-05-19T21:41Z) but the
# PyPI publish of the updated runtime wheel is gated on the Gitea middleman
# rename + PyPI abuse-block recovery. This direct pin in each template is
# REDUNDANT (and harmless) once mc#1578's runtime tag publishes — at that
# point the runtime wheel itself will carry python-multipart as a transitive.
python-multipart>=0.0.27
# Claude Code adapter specific deps
# Claude Agent SDK — programmatic API to Claude Code engine.
# Replaces CLI subprocess approach (no more --print, --resume, json parsing).
+1 -1
View File
@@ -24,7 +24,7 @@ common problems.
## Step 1 — Clone the Repository
```bash
git clone https://git.moleculesai.app/molecule-ai/molecule-ai-workspace-template-claude-code.git
git clone https://github.com/Molecule-AI/molecule-ai-workspace-template-claude-code.git
cd molecule-ai-workspace-template-claude-code
```
-35
View File
@@ -1,35 +0,0 @@
#!/bin/sh
# git-askpass helper. Reads HTTPS Basic-Auth credentials from env vars so
# the deployer can wire git authentication for any private remote without
# touching ~/.gitconfig or ~/.git-credentials inside the container.
#
# Wire-up: set GIT_ASKPASS=/usr/local/bin/molecule-askpass in the
# container env, then export GIT_HTTP_USERNAME / GIT_HTTP_PASSWORD (or the
# GITEA_USER / GITEA_TOKEN fallback pair). When git encounters an HTTPS
# auth challenge on a host that has no credential.helper configured for
# it, git invokes GIT_ASKPASS twice — once with a "Username for ..."
# prompt and once with a "Password for ..." prompt. We pattern-match on
# that prompt and emit the matching env var.
#
# No hardcoded hostnames or vendor names — the deployer decides which
# host these credentials apply to by virtue of setting GIT_ASKPASS only
# when the target remote is in scope. The helper itself is reusable for
# any HTTPS git remote.
#
# Failure mode: if the env vars are unset, we emit an empty string and
# let git surface "Authentication failed" — this is intentional, so a
# misconfigured deployment fails loudly at first push instead of silently
# falling through to an unrelated credential chain.
case "$1" in
Username*)
printf '%s\n' "${GIT_HTTP_USERNAME:-${GITEA_USER:-}}"
;;
Password*)
printf '%s\n' "${GIT_HTTP_PASSWORD:-${GITEA_TOKEN:-}}"
;;
*)
# Unknown prompt — emit empty and let git decide.
printf '\n'
;;
esac
-89
View File
@@ -1,89 +0,0 @@
"""Shared pytest fixtures + import shims for the adapter test suite.
`adapter.py` imports at module load:
- molecule_runtime.adapters.base (BaseAdapter, AdapterConfig, RuntimeCapabilities)
- molecule_runtime.plugins (lazy in setup(), but stubbed proactively)
- a2a.server.agent_execution (AgentExecutor)
- claude_sdk_executor (lazy in create_executor(), stubbed proactively)
In production those arrive transitively via molecule-ai-workspace-runtime.
The CI runner only installs `pytest pytest-asyncio pyyaml`, so the import
chain would fail with ModuleNotFoundError before any test collects —
exactly the failure that broke CI on the #180 fix branch (PR #4) and
caused the merge wall to block on a green local but red Gitea CI.
Putting the stub installer here (collected before any test module is
imported, per pytest semantics) means every test file can do
`from adapter import ...` at module top without a per-file boilerplate
copy. It also forces a single shape for the stubs so two files can't
silently disagree on whether `BaseAdapter` has
`install_plugins_via_registry` (see test_adapter_prevalidate's
async-setup tests, which need the method to exist on the parent class).
"""
import os
import sys
import types
from dataclasses import dataclass
from unittest.mock import MagicMock
@dataclass
class _StubRuntimeCapabilities:
provides_native_session: bool = False
@dataclass
class _StubAdapterConfig:
runtime_config: object = None
config_path: str = "/tmp/configs"
system_prompt: str = ""
heartbeat: object = None
class _StubBaseAdapter:
async def install_plugins_via_registry(self, *_args, **_kwargs):
pass
def _install_stubs() -> None:
"""Install the smallest set of import shims that adapter.py needs."""
if "molecule_runtime" not in sys.modules:
mr = types.ModuleType("molecule_runtime")
mr.adapters = types.ModuleType("molecule_runtime.adapters")
mr.adapters.base = types.ModuleType("molecule_runtime.adapters.base")
mr.adapters.base.BaseAdapter = _StubBaseAdapter
mr.adapters.base.AdapterConfig = _StubAdapterConfig
mr.adapters.base.RuntimeCapabilities = _StubRuntimeCapabilities
mr.plugins = types.ModuleType("molecule_runtime.plugins")
mr.plugins.load_plugins = lambda **_kwargs: []
sys.modules["molecule_runtime"] = mr
sys.modules["molecule_runtime.adapters"] = mr.adapters
sys.modules["molecule_runtime.adapters.base"] = mr.adapters.base
sys.modules["molecule_runtime.plugins"] = mr.plugins
if "a2a" not in sys.modules:
a2a = types.ModuleType("a2a")
a2a.server = types.ModuleType("a2a.server")
a2a.server.agent_execution = types.ModuleType("a2a.server.agent_execution")
a2a.server.agent_execution.AgentExecutor = type("AgentExecutor", (), {})
sys.modules["a2a"] = a2a
sys.modules["a2a.server"] = a2a.server
sys.modules["a2a.server.agent_execution"] = a2a.server.agent_execution
if "claude_sdk_executor" not in sys.modules:
mod = types.ModuleType("claude_sdk_executor")
mod.ClaudeSDKExecutor = MagicMock(name="ClaudeSDKExecutor")
sys.modules["claude_sdk_executor"] = mod
# Run at conftest import time — pytest collects conftest.py before any
# test module, so the stubs are in sys.modules before `from adapter
# import ...` ever executes.
_install_stubs()
# adapter.py lives in the parent dir of tests/ (template root). pytest's
# `--import-mode=importlib` + tests/pytest.ini anchoring rootdir at
# tests/ means the parent isn't on sys.path automatically. Add it here
# once so every test file can do `from adapter import ...` cleanly.
_PARENT_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
if _PARENT_DIR not in sys.path:
sys.path.insert(0, _PARENT_DIR)
+14 -50
View File
@@ -129,13 +129,12 @@ _FIXTURE_PROVIDERS_YAML = textwrap.dedent("""
base_url: https://api.z.ai/api/anthropic
auth_env: [ANTHROPIC_AUTH_TOKEN, ANTHROPIC_API_KEY]
- name: kimi-coding
- name: moonshot
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
base_url: https://api.moonshot.ai/anthropic
auth_env: [ANTHROPIC_AUTH_TOKEN, ANTHROPIC_API_KEY]
- name: deepseek
auth_mode: third_party_anthropic_compat
@@ -515,15 +514,8 @@ async def test_setup_auth_token_alone_satisfies_third_party_check(
# ---- _load_providers / _resolve_provider unit tests ----
def test_load_providers_returns_builtin_when_yaml_missing(tmp_path, monkeypatch):
"""FileNotFoundError path returns the in-code defaults verbatim.
Monkeypatches the canonical + template paths to a non-existent dir
so only the workspace config_path is in scope. Without this, the
multi-path lookup picks up the repo-root config.yaml that ships
with the template (path 2 finds the bundled providers list and
returns it instead of falling through to builtins).
"""
def test_load_providers_returns_builtin_when_yaml_missing(tmp_path):
"""FileNotFoundError path returns the in-code defaults verbatim."""
_install_stubs()
parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
if parent_dir not in sys.path:
@@ -531,10 +523,6 @@ def test_load_providers_returns_builtin_when_yaml_missing(tmp_path, monkeypatch)
sys.modules.pop("adapter", None)
import adapter as adapter_module
nonexistent = str(tmp_path / "_isolate_canonical")
monkeypatch.setattr(adapter_module, "_CANONICAL_ADAPTER_DIR", nonexistent)
monkeypatch.setattr(adapter_module, "_TEMPLATE_DIR", nonexistent)
result = adapter_module._load_providers(str(tmp_path))
assert result == adapter_module._BUILTIN_PROVIDERS
@@ -555,7 +543,7 @@ def test_load_providers_parses_yaml_and_normalizes(tmp_path):
names = [p["name"] for p in result]
assert names == [
"anthropic-oauth", "anthropic-api", "xiaomi-mimo", "minimax",
"zai", "kimi-coding", "deepseek",
"zai", "moonshot", "deepseek",
]
# YAML lists must be normalized to tuples for downstream lookup ergonomics.
assert isinstance(result[0]["model_aliases"], tuple)
@@ -565,16 +553,15 @@ def test_load_providers_parses_yaml_and_normalizes(tmp_path):
@pytest.mark.parametrize("model,expected_provider,expected_url", [
("GLM-4.6", "zai", "https://api.z.ai/api/anthropic"),
("glm-4.5", "zai", "https://api.z.ai/api/anthropic"),
("kimi-k2.5", "kimi-coding", "https://api.kimi.com/coding/"),
("kimi-for-coding", "kimi-coding", "https://api.kimi.com/coding/"),
("kimi-k2.5", "moonshot", "https://api.moonshot.ai/anthropic"),
("deepseek-v4-pro", "deepseek", "https://api.deepseek.com/anthropic"),
])
@pytest.mark.asyncio
async def test_setup_routes_extra_providers(
adapter, monkeypatch, configs_dir, model, expected_provider, expected_url
):
"""The Z.ai / Kimi-For-Coding / DeepSeek providers must route
correctly: model id → provider entry → ANTHROPIC_BASE_URL.
"""The Z.ai / Moonshot / DeepSeek providers added in this PR must
route correctly: model id → provider entry → ANTHROPIC_BASE_URL.
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
that mistypes z.ai's `/api/anthropic` suffix gets caught.
@@ -589,12 +576,8 @@ async def test_setup_routes_extra_providers(
assert os.environ.get("ANTHROPIC_BASE_URL") == expected_url
def test_load_providers_falls_back_on_malformed_yaml(tmp_path, caplog, monkeypatch):
"""Malformed YAML → log warning + fallback (don't kill boot).
Isolated from the multi-path lookup by pinning canonical + template
dirs at a non-existent path; only the workspace config_path is read.
"""
def test_load_providers_falls_back_on_malformed_yaml(tmp_path, caplog):
"""Malformed YAML → log warning + fallback (don't kill boot)."""
_install_stubs()
parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
if parent_dir not in sys.path:
@@ -602,10 +585,6 @@ def test_load_providers_falls_back_on_malformed_yaml(tmp_path, caplog, monkeypat
sys.modules.pop("adapter", None)
import adapter as adapter_module
nonexistent = str(tmp_path / "_isolate_canonical")
monkeypatch.setattr(adapter_module, "_CANONICAL_ADAPTER_DIR", nonexistent)
monkeypatch.setattr(adapter_module, "_TEMPLATE_DIR", nonexistent)
(tmp_path / "config.yaml").write_text("providers: [not valid yaml: {{{")
import logging
@@ -643,7 +622,7 @@ def test_resolve_provider_minimax_prefix_matches_minimax_provider():
assert result2["name"] == "minimax"
def test_load_providers_drops_bad_entry_keeps_rest(tmp_path, caplog, monkeypatch):
def test_load_providers_drops_bad_entry_keeps_rest(tmp_path, caplog):
"""Per-entry isolation: one malformed entry shouldn't nuke the registry.
Pre-fix: ``_load_providers`` built the registry via a generator inside
@@ -655,9 +634,6 @@ def test_load_providers_drops_bad_entry_keeps_rest(tmp_path, caplog, monkeypatch
Post-fix: per-entry try/except drops the bad entry with a warning,
rest of the registry survives.
Isolated from the multi-path lookup so only the test's tmp config.yaml
is read.
"""
_install_stubs()
parent_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
@@ -666,10 +642,6 @@ def test_load_providers_drops_bad_entry_keeps_rest(tmp_path, caplog, monkeypatch
sys.modules.pop("adapter", None)
import adapter as adapter_module
nonexistent = str(tmp_path / "_isolate_canonical")
monkeypatch.setattr(adapter_module, "_CANONICAL_ADAPTER_DIR", nonexistent)
monkeypatch.setattr(adapter_module, "_TEMPLATE_DIR", nonexistent)
yaml_with_typo = textwrap.dedent("""
providers:
- name: good-zai
@@ -718,7 +690,7 @@ def test_load_providers_drops_bad_entry_keeps_rest(tmp_path, caplog, monkeypatch
)
def test_load_providers_string_as_prefix_does_not_split_into_chars(tmp_path, caplog, monkeypatch):
def test_load_providers_string_as_prefix_does_not_split_into_chars(tmp_path, caplog):
"""A YAML field declared as list-of-strings but written as a bare
string (operator forgot brackets) used to silently iterate over
characters → ``('m','i','m','o','-')``. Post-fix: non-list value
@@ -733,10 +705,6 @@ def test_load_providers_string_as_prefix_does_not_split_into_chars(tmp_path, cap
sys.modules.pop("adapter", None)
import adapter as adapter_module
nonexistent = str(tmp_path / "_isolate_canonical")
monkeypatch.setattr(adapter_module, "_CANONICAL_ADAPTER_DIR", nonexistent)
monkeypatch.setattr(adapter_module, "_TEMPLATE_DIR", nonexistent)
yaml_str_prefix = textwrap.dedent("""
providers:
- name: typo-prefix
@@ -755,7 +723,7 @@ def test_load_providers_string_as_prefix_does_not_split_into_chars(tmp_path, cap
)
def test_load_providers_drops_entry_without_name(tmp_path, caplog, monkeypatch):
def test_load_providers_drops_entry_without_name(tmp_path, caplog):
"""An entry without ``name`` is operator error — no silent fallback
to ``<unnamed>``. Drop the entry with a warning so the boot log
surfaces the typo.
@@ -767,10 +735,6 @@ def test_load_providers_drops_entry_without_name(tmp_path, caplog, monkeypatch):
sys.modules.pop("adapter", None)
import adapter as adapter_module
nonexistent = str(tmp_path / "_isolate_canonical")
monkeypatch.setattr(adapter_module, "_CANONICAL_ADAPTER_DIR", nonexistent)
monkeypatch.setattr(adapter_module, "_TEMPLATE_DIR", nonexistent)
yaml_no_name = textwrap.dedent("""
providers:
- name: good
+20 -74
View File
@@ -110,18 +110,6 @@ def _load_executor():
return claude_sdk_executor
def _channels_entry(extra_args):
"""Return (key, value) for the dev-channels flag, tolerating both shapes.
- separate-value shape: {"dangerously-load-development-channels": "server:X"}
- packed `=` shape (task #214 fix): {"dangerously-load-development-channels=server:X": None}
"""
for k, v in extra_args.items():
if k.split("=", 1)[0] == "dangerously-load-development-channels":
return k, v
return None, None
def test_build_options_forwards_tagged_dev_channels_flag(tmp_path):
"""``_build_options`` must pass the tagged ``server:molecule`` entry to
``--dangerously-load-development-channels``. The Claude Code 2.1.x CLI
@@ -154,28 +142,25 @@ def test_build_options_forwards_tagged_dev_channels_flag(tmp_path):
"extra_args missing — host claude CLI will never see the dev-channels "
"flag and notifications/claude/channel will be filtered at the allowlist"
)
key, value = _channels_entry(kwargs["extra_args"])
# Resolve the tagged payload from whichever shape the executor used.
tagged = value if value is not None else (key.split("=", 1)[1] if "=" in key else None)
assert tagged == "server:molecule", (
f"dev-channels entry must resolve to tagged 'server:molecule' to match "
f"the workspace's MCP-server registration. The CLI rejects bare server "
flag_value = kwargs["extra_args"].get("dangerously-load-development-channels")
assert flag_value == "server:molecule", (
f"dev-channels entry must be tagged 'server:molecule' to match the "
f"workspace's MCP-server registration. The CLI rejects bare server "
f"names with `entries must be tagged` and bare-switch values (None) "
f"with `argument missing`; the latter wedges SDK initialize. "
f"got key={key!r} value={value!r}"
f"got {flag_value!r}"
)
def test_build_options_dev_channels_value_is_not_bare_none(tmp_path):
"""Defense in depth against the original PR #25 bare-switch shape.
A bare ``--dangerously-load-development-channels`` (no value, no
``=value`` packed into the key) renders as an argument-less flag,
which the post-2.1.x CLI rejects with `argument missing`. Pin the
invariant (the rendered payload is non-empty and tag-colon-shaped)
so a regression to the old shape fails immediately at unit-test
time instead of surfacing as a live `Control request timeout:
initialize` wedge in production.
``{flag: None}`` in claude-agent-sdk's extra_args forwarding renders
as a bare ``--flag`` with no value, which the post-2.1.x CLI rejects.
Pin the invariant (non-None, non-empty, contains a tag colon) so a
regression to the old shape fails immediately at unit-test time
instead of surfacing as a live `Control request timeout: initialize`
wedge in production.
"""
mod = _load_executor()
sdk = sys.modules["claude_agent_sdk"]
@@ -189,56 +174,17 @@ def test_build_options_dev_channels_value_is_not_bare_none(tmp_path):
)
executor._build_options()
key, value = _channels_entry(
flag_value = (
sdk.ClaudeAgentOptions.call_args.kwargs["extra_args"]
["dangerously-load-development-channels"]
)
payload = key if value is None else f"{key}={value}"
assert ":" in payload.split("=", 1)[-1], (
f"flag payload must be tagged (server:<name> or plugin:<name>@<marketplace>); "
f"got key={key!r} value={value!r} which the CLI rejects with "
f"`entries must be tagged` or `argument missing`"
assert flag_value is not None, (
"flag value must not be None — bare switch wedges SDK initialize"
)
def test_dev_channels_does_not_swallow_print_prompt_cli_2_1_143(tmp_path):
"""Task #214 regression — claude-code CLI 2.1.143.
CLI 2.1.143 made ``--dangerously-load-development-channels`` variadic
(``nargs='+'``). claude-agent-sdk's renderer (subprocess_cli.py:340)
emits ``{flag: value}`` as TWO argv elements, so the channels parser
greedily absorbs the following ``--print <prompt>`` argv pair as
channel entries and the SDK wedges at initialize. Fix: pack ``=``
into the key so the renderer's ``None``-value path emits ONE argv —
``--dangerously-load-development-channels=server:molecule`` — that
the variadic parser cannot reach across. Both argv orderings
around ``--print <prompt>`` (channels-then-print, print-then-
channels) must keep the prompt argv adjacent to ``--print``.
"""
mod = _load_executor()
sdk = sys.modules["claude_agent_sdk"]
sdk.ClaudeAgentOptions.reset_mock()
executor = mod.ClaudeSDKExecutor(
system_prompt=None, config_path=str(tmp_path), heartbeat=None, model="sonnet",
assert isinstance(flag_value, str) and flag_value, (
f"flag value must be a non-empty string; got {flag_value!r}"
)
executor._build_options()
extra_args = sdk.ClaudeAgentOptions.call_args.kwargs["extra_args"]
# Mirror claude_agent_sdk/_internal/transport/subprocess_cli.py:340.
channels_argv = []
for flag, val in extra_args.items():
channels_argv.append(f"--{flag}") if val is None else channels_argv.extend([f"--{flag}", str(val)])
slots = [a for a in channels_argv if a.startswith("--dangerously-load-development-channels")]
assert len(slots) == 1 and "=" in slots[0] and channels_argv == slots, (
f"channels flag must render as a single argv with `=value` packed in so "
f"CLI 2.1.143's nargs='+' parser cannot swallow --print <prompt>; "
f"got channels_argv={channels_argv!r}"
assert ":" in flag_value, (
f"flag value must be tagged (server:<name> or plugin:<name>@<marketplace>); "
f"got {flag_value!r} which the CLI rejects with `entries must be tagged`"
)
for orientation, full_argv in (
("channels_then_print", channels_argv + ["--print", "hello world"]),
("print_then_channels", ["--print", "hello world"] + channels_argv),
):
idx = full_argv.index("--print")
assert full_argv[idx + 1] == "hello world", (
f"--print prompt argv must stay adjacent ({orientation}); got {full_argv!r}"
)
-287
View File
@@ -1,287 +0,0 @@
"""Tests for ``_resolve_model_and_provider_from_env`` — the env-vs-YAML
reconciliation that fixes the 2026-05-08 dev-tree wedge incident.
Symptom: 22/27 non-lead workspaces (minimax tier) wedged on
``Control request timeout: initialize`` because the runtime wheel's
``workspace/config.py`` interpreted ``MODEL_PROVIDER=minimax`` as the
*model id* instead of the provider slug. ``model="minimax"`` failed to
match the ``minimax-`` registry prefix, fell through to providers[0]
(anthropic-oauth), demanded ``CLAUDE_CODE_OAUTH_TOKEN`` (unset on
non-leads), and the claude CLI hung at SDK init.
The persona env files (``~/.molecule-ai/personas/<name>/env``) declare
the new convention:
* ``MODEL`` — model id (e.g. ``MiniMax-M2.7-highspeed``)
* ``MODEL_PROVIDER`` — provider slug (e.g. ``minimax``)
These tests cover the matrix of (env shape) × (YAML shape) so a future
contributor can't silently regress the wedge fix.
"""
import pytest
from adapter import (
_BUILTIN_PROVIDERS,
_resolve_model_and_provider_from_env,
)
# A registry that contains both anthropic-oauth (providers[0]) and
# minimax/zai (third-party slugs) — matches the shipped config.yaml.
_REGISTRY = _BUILTIN_PROVIDERS + (
{
"name": "minimax",
"auth_mode": "third_party_anthropic_compat",
"model_prefixes": ("minimax-",),
"model_aliases": (),
"base_url": "https://api.minimax.io/anthropic",
"auth_env": ("MINIMAX_API_KEY",),
},
{
"name": "zai",
"auth_mode": "third_party_anthropic_compat",
"model_prefixes": ("glm-",),
"model_aliases": (),
"base_url": "https://api.z.ai/api/anthropic",
"auth_env": ("GLM_API_KEY",),
},
)
def _clear_env(monkeypatch):
monkeypatch.delenv("MODEL", raising=False)
monkeypatch.delenv("MODEL_PROVIDER", raising=False)
# ------------------------------------------------------------------
# Persona env convention: MODEL=<id>, MODEL_PROVIDER=<slug>
# ------------------------------------------------------------------
def test_persona_env_minimax_resolves_correctly(monkeypatch):
"""The 2026-05-08 wedge regression test: persona env shape must
yield model=MiniMax-M2.7-highspeed (not "minimax") and explicit
provider=minimax."""
_clear_env(monkeypatch)
monkeypatch.setenv("MODEL", "MiniMax-M2.7-highspeed")
monkeypatch.setenv("MODEL_PROVIDER", "minimax")
model, provider = _resolve_model_and_provider_from_env(
yaml_model="", yaml_provider="", providers=_REGISTRY,
)
assert model == "MiniMax-M2.7-highspeed"
assert provider == "minimax"
def test_persona_env_lead_claude_code_resolves_correctly(monkeypatch):
"""Lead persona env (MODEL=opus, MODEL_PROVIDER=claude-code) —
``claude-code`` is the persona-friendly alias for the canonical
``anthropic-oauth`` registry name. Must resolve via the alias map
so the lead boots through the OAuth subscription path even when
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)
monkeypatch.setenv("MODEL", "opus")
monkeypatch.setenv("MODEL_PROVIDER", "claude-code")
model, provider = _resolve_model_and_provider_from_env(
yaml_model="", yaml_provider="", providers=_REGISTRY,
)
assert model == "opus"
# claude-code → anthropic-oauth via the alias map
assert provider == "anthropic-oauth"
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):
_clear_env(monkeypatch)
monkeypatch.setenv("MODEL", "GLM-4.6")
monkeypatch.setenv("MODEL_PROVIDER", "zai")
model, provider = _resolve_model_and_provider_from_env(
yaml_model="", yaml_provider="", providers=_REGISTRY,
)
assert model == "GLM-4.6"
assert provider == "zai"
def test_env_provider_slug_case_insensitive(monkeypatch):
"""Operator typos like ``MiniMax`` (mixed case) still resolve."""
_clear_env(monkeypatch)
monkeypatch.setenv("MODEL", "MiniMax-M2.7-highspeed")
monkeypatch.setenv("MODEL_PROVIDER", "MiniMax") # mixed case
_, provider = _resolve_model_and_provider_from_env(
yaml_model="", yaml_provider="", providers=_REGISTRY,
)
assert provider == "MiniMax" # caller compares case-insensitively
# ------------------------------------------------------------------
# Legacy convention: MODEL_PROVIDER=<model-id>, MODEL unset
# ------------------------------------------------------------------
def test_legacy_model_provider_as_model_id_still_works(monkeypatch):
"""Pre-2026-05-08 canvas Save+Restart shape: MODEL_PROVIDER carried
the model id directly (e.g. ``MODEL_PROVIDER=MiniMax-M2.7``) and
no MODEL env. Must keep working so existing canvas users don't
break overnight."""
_clear_env(monkeypatch)
monkeypatch.setenv("MODEL_PROVIDER", "MiniMax-M2.7-highspeed")
model, provider = _resolve_model_and_provider_from_env(
yaml_model="", yaml_provider="", providers=_REGISTRY,
)
# MiniMax-M2.7-highspeed is not a registered provider name, so
# it's treated as a legacy model-id-in-MODEL_PROVIDER value.
assert model == "MiniMax-M2.7-highspeed"
assert provider is None
# ------------------------------------------------------------------
# Env wins over YAML
# ------------------------------------------------------------------
def test_env_model_wins_over_yaml_model(monkeypatch):
"""When both env MODEL and YAML model are set, env wins."""
_clear_env(monkeypatch)
monkeypatch.setenv("MODEL", "GLM-4.6")
model, _ = _resolve_model_and_provider_from_env(
yaml_model="MiniMax-M2.7", yaml_provider="", providers=_REGISTRY,
)
assert model == "GLM-4.6"
def test_env_provider_wins_over_yaml_provider(monkeypatch):
"""Env MODEL_PROVIDER (when a registered slug) wins over YAML provider."""
_clear_env(monkeypatch)
monkeypatch.setenv("MODEL", "GLM-4.6")
monkeypatch.setenv("MODEL_PROVIDER", "zai")
_, provider = _resolve_model_and_provider_from_env(
yaml_model="", yaml_provider="minimax", providers=_REGISTRY,
)
assert provider == "zai"
# ------------------------------------------------------------------
# YAML fallback (no env)
# ------------------------------------------------------------------
def test_no_env_falls_back_to_yaml(monkeypatch):
"""Workspace whose env doesn't set MODEL/MODEL_PROVIDER falls back
to the YAML config — preserves existing operator workflows."""
_clear_env(monkeypatch)
model, provider = _resolve_model_and_provider_from_env(
yaml_model="claude-sonnet-4-6",
yaml_provider="anthropic-api",
providers=_REGISTRY,
)
assert model == "claude-sonnet-4-6"
assert provider == "anthropic-api"
def test_no_env_no_yaml_returns_empty(monkeypatch):
"""Pure default path — caller (setup) substitutes ``sonnet``."""
_clear_env(monkeypatch)
model, provider = _resolve_model_and_provider_from_env(
yaml_model="", yaml_provider="", providers=_REGISTRY,
)
assert model == ""
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
# ------------------------------------------------------------------
def test_whitespace_only_env_treated_as_unset(monkeypatch):
_clear_env(monkeypatch)
monkeypatch.setenv("MODEL", " ")
monkeypatch.setenv("MODEL_PROVIDER", " ")
model, provider = _resolve_model_and_provider_from_env(
yaml_model="opus", yaml_provider="", providers=_REGISTRY,
)
assert model == "opus"
assert provider is None
def test_empty_env_value_treated_as_unset(monkeypatch):
_clear_env(monkeypatch)
monkeypatch.setenv("MODEL", "")
monkeypatch.setenv("MODEL_PROVIDER", "")
model, provider = _resolve_model_and_provider_from_env(
yaml_model="sonnet", yaml_provider="", providers=_REGISTRY,
)
assert model == "sonnet"
assert provider is None
-146
View File
@@ -1,146 +0,0 @@
"""Tests for the provider-resolution path that was silent-failing on #180.
Regression coverage: when an operator picks a provider in the canvas Config
tab that isn't in the registry, the adapter must raise ValueError with an
actionable message — NOT silently fall through to providers[0]
(anthropic-oauth) and then have the Claude SDK hit the user's OAuth quota
under a different name.
These tests mirror the production failure mode reported by Hongming
2026-05-07 17:35: workspace config.yaml had `provider: minimax` set, the
adapter ignored it entirely, the SDK kept calling the Anthropic API with
CLAUDE_CODE_OAUTH_TOKEN, hit the OAuth quota, and the canvas surfaced
"Agent error (Exception)" with no clue why.
Import-shim setup (sys.path + molecule_runtime / a2a / claude_sdk_executor
stubs) lives in tests/conftest.py — shared with test_adapter_prevalidate
so the two stub installers can't disagree on shape (e.g. BaseAdapter
having install_plugins_via_registry).
"""
import pytest
from adapter import (
_BUILTIN_PROVIDERS,
_resolve_provider,
)
def test_resolve_with_no_explicit_provider_falls_back_to_model_match():
"""No explicit provider → model-based prefix/alias matching, default to providers[0]."""
p = _resolve_provider("claude-opus-4-7", _BUILTIN_PROVIDERS)
assert p["name"] == "anthropic-api" # matches model_prefixes=("claude-",)
def test_resolve_with_no_explicit_provider_falls_back_to_default():
"""Unknown model + no explicit provider → providers[0] (anthropic-oauth)."""
p = _resolve_provider("unknown-model", _BUILTIN_PROVIDERS)
assert p["name"] == "anthropic-oauth"
def test_resolve_with_explicit_provider_in_registry_returns_match():
"""Explicit name lookup wins over model-based resolution."""
# Even though "claude-opus-4-7" would normally resolve to anthropic-api
# via prefix matching, the explicit provider name wins.
p = _resolve_provider(
"claude-opus-4-7", _BUILTIN_PROVIDERS,
explicit_provider="anthropic-oauth",
)
assert p["name"] == "anthropic-oauth"
def test_resolve_with_explicit_provider_case_insensitive():
"""Provider name match is case-insensitive (operators write 'Anthropic-OAuth' etc)."""
p = _resolve_provider(
"sonnet", _BUILTIN_PROVIDERS,
explicit_provider="ANTHROPIC-OAUTH",
)
assert p["name"] == "anthropic-oauth"
def test_resolve_with_explicit_provider_not_in_registry_raises():
"""The #180 regression test: explicit non-registry provider must raise, not fall through."""
with pytest.raises(ValueError) as exc_info:
_resolve_provider(
"MiniMax-M2.7-highspeed", _BUILTIN_PROVIDERS,
explicit_provider="minimax",
)
msg = str(exc_info.value)
# Must name the bad provider so operator knows what they typed
assert "minimax" in msg
# Must list known providers so operator knows what's available
assert "anthropic-oauth" in msg
assert "anthropic-api" in msg
# Must give actionable next steps — NOT just "not found"
assert "providers:" in msg or "Add" in msg
assert "Switch" in msg or "runtime" in msg
def test_resolve_with_explicit_provider_does_not_silent_fallback():
"""Specifically: must not return providers[0] when explicit_provider is bogus.
This is the exact silent-fallback path that caused the user-visible
bug: operator picks 'minimax' → adapter returns anthropic-oauth →
SDK uses CLAUDE_CODE_OAUTH_TOKEN → hits quota.
"""
with pytest.raises(ValueError):
result = _resolve_provider(
"anything", _BUILTIN_PROVIDERS,
explicit_provider="minimax",
)
# If the implementation regresses to silent fallback, this would
# have returned providers[0] (anthropic-oauth) instead of raising.
# Defense-in-depth: guard against accidental "return" inside the
# error path.
assert result["name"] not in {"anthropic-oauth", "anthropic-api"}, (
"REGRESSION: silent fallback to default provider when explicit "
"provider name is not in registry — this is the #180 bug."
)
def test_resolve_with_explicit_provider_in_custom_registry():
"""When operator adds a third-party provider to the registry, explicit lookup finds it."""
custom_registry = _BUILTIN_PROVIDERS + (
{
"name": "minimax",
"auth_mode": "third_party_anthropic_compat",
"model_prefixes": ("minimax-",),
"model_aliases": (),
"base_url": "https://api.minimaxi.com/anthropic-compat",
"auth_env": ("MINIMAX_API_KEY",),
},
)
p = _resolve_provider(
"MiniMax-M2.7-highspeed", custom_registry,
explicit_provider="minimax",
)
assert p["name"] == "minimax"
assert p["base_url"] == "https://api.minimaxi.com/anthropic-compat"
assert "MINIMAX_API_KEY" in p["auth_env"]
def test_resolve_empty_providers_raises():
"""Pre-condition: providers must be non-empty (existing behavior preserved)."""
with pytest.raises(ValueError, match="empty providers tuple"):
_resolve_provider("anything", ())
def test_resolve_explicit_empty_string_treated_as_no_explicit():
"""`provider: ''` (empty string) → fall back to model-based resolution, not raise."""
# This shape can happen when the canvas writes an empty provider field.
# Treating it as "no explicit pick" is more forgiving than raising,
# since the user clearly didn't intend to break their workspace.
p = _resolve_provider(
"claude-opus-4-7", _BUILTIN_PROVIDERS,
explicit_provider="",
)
assert p["name"] == "anthropic-api" # fell through to model-based
def test_resolve_explicit_none_treated_as_no_explicit():
"""`explicit_provider=None` (default) → fall back to model-based resolution."""
p = _resolve_provider(
"claude-opus-4-7", _BUILTIN_PROVIDERS,
explicit_provider=None,
)
assert p["name"] == "anthropic-api"
+1 -80
View File
@@ -219,6 +219,7 @@ def test_glm_kimi_deepseek_also_project(adapter_module, monkeypatch):
"""
cases = [
("zai", "GLM_API_KEY"),
("moonshot", "KIMI_API_KEY"),
("deepseek", "DEEPSEEK_API_KEY"),
]
for provider_name, env_name in cases:
@@ -241,83 +242,3 @@ def test_glm_kimi_deepseek_also_project(adapter_module, monkeypatch):
f"{env_name} must project onto ANTHROPIC_AUTH_TOKEN for "
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"