d8026347e5
Renames: - platform/ → workspace-server/ (Go module path stays as "platform" for external dep compat — will update after plugin module republish) - workspace-template/ → workspace/ Removed (moved to separate repos or deleted): - PLAN.md — internal roadmap (move to private project board) - HANDOFF.md, AGENTS.md — one-time internal session docs - .claude/ — gitignored entirely (local agent config) - infra/cloudflare-worker/ → Molecule-AI/molecule-tenant-proxy - org-templates/molecule-dev/ → standalone template repo - .mcp-eval/ → molecule-mcp-server repo - test-results/ — ephemeral, gitignored Security scrubbing: - Cloudflare account/zone/KV IDs → placeholders - Real EC2 IPs → <EC2_IP> in all docs - CF token prefix, Neon project ID, Fly app names → redacted - Langfuse dev credentials → parameterized - Personal runner username/machine name → generic Community files: - CONTRIBUTING.md — build, test, branch conventions - CODE_OF_CONDUCT.md — Contributor Covenant 2.1 All Dockerfiles, CI workflows, docker-compose, railway.toml, render.yaml, README, CLAUDE.md updated for new directory names. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
80 lines
3.2 KiB
Markdown
80 lines
3.2 KiB
Markdown
# Workspace Runtime PyPI Package
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## Overview
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The shared workspace runtime infrastructure lives in two places:
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1. **Source of truth (monorepo):** `workspace/` — this is where all development happens
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2. **Published package:** [`molecule-ai-workspace-runtime`](https://pypi.org/project/molecule-ai-workspace-runtime/) on PyPI
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## What's in the package
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Everything in `workspace/` except adapter-specific code:
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- `molecule_runtime/` — all shared `.py` files (main.py, config.py, heartbeat.py, etc.)
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- `molecule_runtime/adapters/` — `BaseAdapter`, `AdapterConfig`, `SetupResult`, `shared_runtime`
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- `molecule_runtime/builtin_tools/` — delegation, memory, approvals, sandbox, telemetry
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- `molecule_runtime/skill_loader/` — skill loading + hot-reload
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- `molecule_runtime/plugins_registry/` — plugin discovery and install pipeline
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- `molecule_runtime/policies/` — namespace routing policies
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- Console script: `molecule-runtime` → `molecule_runtime.main:main_sync`
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## Adapter repos
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Each of the 8 adapter repos now contains:
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- `adapter.py` — runtime-specific `Adapter` class
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- `requirements.txt` — `molecule-ai-workspace-runtime>=0.1.0` + adapter deps
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- `Dockerfile` — standalone image (no longer extends workspace-template:base)
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| Adapter | Repo |
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|---------|------|
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| claude-code | https://github.com/Molecule-AI/molecule-ai-workspace-template-claude-code |
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| langgraph | https://github.com/Molecule-AI/molecule-ai-workspace-template-langgraph |
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| crewai | https://github.com/Molecule-AI/molecule-ai-workspace-template-crewai |
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| autogen | https://github.com/Molecule-AI/molecule-ai-workspace-template-autogen |
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| deepagents | https://github.com/Molecule-AI/molecule-ai-workspace-template-deepagents |
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| hermes | https://github.com/Molecule-AI/molecule-ai-workspace-template-hermes |
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| gemini-cli | https://github.com/Molecule-AI/molecule-ai-workspace-template-gemini-cli |
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| openclaw | https://github.com/Molecule-AI/molecule-ai-workspace-template-openclaw |
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## Adapter discovery (ADAPTER_MODULE)
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Standalone adapter repos set `ENV ADAPTER_MODULE=adapter` in their Dockerfile.
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The runtime's `get_adapter()` checks this env var first:
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```python
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# In molecule_runtime/adapters/__init__.py
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def get_adapter(runtime: str) -> type[BaseAdapter]:
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adapter_module = os.environ.get("ADAPTER_MODULE")
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if adapter_module:
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mod = importlib.import_module(adapter_module)
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return getattr(mod, "Adapter")
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# Fall back to built-in subdirectory scan (monorepo local dev)
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...
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```
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## Publishing a new version
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```bash
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cd workspace-template
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# 1. Bump version in pyproject.toml
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# 2. Sync to molecule-ai-workspace-runtime repo
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# 3. Tag and push — CI publishes to PyPI via PYPI_TOKEN secret
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```
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Or manually:
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```bash
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cd workspace-template
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python -m build
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python -m twine upload dist/*
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```
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## Writing a new adapter
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1. Create a new standalone repo `molecule-ai-workspace-template-<runtime>`
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2. Copy `adapter.py` pattern from any existing adapter repo
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3. Change imports: `from molecule_runtime.adapters.base import BaseAdapter, AdapterConfig`
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4. Create `requirements.txt` with `molecule-ai-workspace-runtime>=0.1.0` + your deps
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5. Create `Dockerfile` with `ENV ADAPTER_MODULE=adapter` and `ENTRYPOINT ["molecule-runtime"]`
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6. Register the runtime name in the platform's known runtimes list
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