Adds a configurable instruction injection system that prepends rules to
every agent's system prompt. Instructions are stored in the DB and fetched
at workspace startup, supporting three scopes:
- Global: applies to all agents (e.g., "verify with tools before reporting")
- Team: applies to agents in a specific team
- Workspace: applies to a single agent (role-specific rules)
Components:
- Migration 040: platform_instructions table with scope hierarchy
- Go API: CRUD endpoints + resolve endpoint that merges scopes
- Python runtime: fetches instructions at startup via /instructions/resolve
and prepends them to the system prompt as highest-priority context
Initial global instructions seeded:
1. Verify Before Acting (check issues/PRs/docs first)
2. Verify Output Before Reporting (second signal before reporting done)
3. Tool Usage Requirements (claims must include tool output)
4. No Hallucinated Emergencies (CRITICAL needs proof)
5. Staging-First Workflow (never push to main directly)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add a pre-stop hook that captures agent state before container exit and
writes a scrubbed snapshot to /configs/.agent_snapshot.json. On restart,
the snapshot is loaded and the adapter's restore_state() is called before
the A2A server starts.
- New lib/pre_stop.py: build_snapshot / write_snapshot / read_snapshot /
delete_snapshot + _scrub_value deep-scrubber (uses lib.snapshot_scrub
to redact API keys, tokens, and sandbox output before persisting)
- BaseAdapter.pre_stop_state(): captures _executor._session_id and recent
transcript_lines; overridden by adapters with richer in-memory state
- BaseAdapter.restore_state(): stores snapshot fields as adapter attrs
for create_executor() to pick up
- main.py: calls pre_stop serialization in finally block (after server
serves) and restore_state() after adapter setup, before server starts
- Added 12 unit tests covering scrub, read/write, adapter integration
Co-authored-by: Molecule AI Infra-Runtime-BE <infra-runtime-be@agents.moleculesai.app>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
- PLATFORM_URL: replace unreachable http://platform:8080 mesh-only default
with Docker-aware detection (host.docker.internal in containers,
localhost for local dev) across all workspace Python modules and the
git-token-helper shell script.
- WORKSPACE_ID: add fail-fast validation in main.py (SystemExit if empty)
consistent with coordinator.py / a2a_cli.py patterns already in place.
- INCIDENT_LOG.md: replace all 3 F1088 credential types with
***REDACTED*** (sk-cp- 2x, github_pat_ 2x, ADMIN_TOKEN base64 3x).
Fixes#1124, #1333.
Co-authored-by: Molecule AI Dev Lead <dev-lead@agents.moleculesai.app>
- Remove compiled workspace-server/server binary from git
- Fix .gitignore, .gitattributes, .githooks/pre-commit for renamed dirs
- Fix CI workflow path filters (workspace-template → workspace)
- Replace real EC2 IP and personal slug in test_saas_tenant.sh
- Scrub molecule-controlplane references in docs
- Fix stale workspace-template/ paths in provisioner, handlers, tests
- Clean tracked Python cache files
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
