feat(slm): implement autobot-backend Docker deployment API bridge (SLM → Ansible → Docker)

[mrveiss]

Context7 Score: 81/100

Test query: "Use the Service Lifecycle Manager to automate the deployment of a Docker container using an Ansible playbook."

Audit Findings

What EXISTS

• autobot-slm-backend/services/playbook_executor.py — full Ansible playbook runner (production-ready)
• autobot-slm-backend/api/deployments.py — 6 deployment endpoints (create, list, cancel, rollback) — production-ready
• autobot-slm-backend/ansible/playbooks/deploy-hybrid-docker.yml — Docker container deployment playbook
• autobot-backend/services/slm_client.py — SLM HTTP client (agent config only, not deployments)
• docs/guides/slm-docker-ansible-deployment.md — 1000-line comprehensive guide (covers curl/Python examples direct to SLM)
• autobot-backend/api/slm/deployments_api_test.py — test file with mocked DeploymentOrchestrator (class doesn't exist)

What is MISSING

1. No autobot-backend/api/slm/deployments.py — the test file imports DeploymentOrchestrator which doesn't exist; there's no actual API route
2. No SLMDeploymentService in autobot-backend — slm_client.py only handles agent config, not deployments
3. No Docker-specific Pydantic models — no DockerContainerSpec, DockerDeploymentRequest types
4. No integration tests — existing tests only mock; no real SLM call path is tested

Acceptance Criteria

• autobot-backend/services/slm/deployment_orchestrator.py — SLMDeploymentOrchestrator class with:
  • deploy_docker_container(node_id, container_spec) -> DeploymentStatus
  • get_deployment_status(deployment_id) -> DeploymentStatus
  • list_deployments(node_id?) -> List[DeploymentStatus]
  • Calls SLM POST /deployments with playbook + extra_vars from container spec
• autobot-backend/models/infrastructure.py (new) — DockerContainerSpec, PortMapping, DockerDeploymentRequest, DockerDeploymentStatus Pydantic models
• autobot-backend/api/slm/deployments.py (real implementation) replacing the mocked test stub:
  • POST /api/v1/slm/deployments/docker — trigger Docker deployment
  • GET /api/v1/slm/deployments/{id} — poll status
  • GET /api/v1/slm/deployments — list
• Integration test (not mock-only): test calls SLMDeploymentOrchestrator with a real or test-double SLM response
• docs/guides/slm-docker-ansible-deployment.md updated with "From AutoBot Backend" section showing the new API endpoint + Python client example

Files to Touch

• autobot-backend/services/slm/deployment_orchestrator.py (new)
• autobot-backend/models/infrastructure.py (new)
• autobot-backend/api/slm/deployments.py (implement — currently only test file exists)
• autobot-backend/api/slm/deployments_api_test.py (update to use real orchestrator)
• docs/guides/slm-docker-ansible-deployment.md

Related

• SLM backend deployment API at autobot-slm-backend/api/deployments.py is production-ready — no changes needed there
• autobot-backend/services/slm_client.py may need create_deployment() method added

[github-actions]

PR #3416 (merged to Dev_new_gui) references this issue with a close keyword.

feat(slm): implement autobot-backend Docker deployment API bridge (SLM → Ansible → Docker)

If this issue is fully resolved, close it manually. If work remains, no action is needed.