CAIPE Roadmap

Role and team-based access control touching all features — OAuth 2.1, audit logs, and channel-to-agent assignment.

• OAuth 2.1 features: DCR, Token Exchange, three-legged auth for remote MCP servers
• Manage RBAC user/teams/roles from UI
• Assign Slack/Webex channels ↔ Custom agents
• Detailed authorization audit logs (OBO agent actor logs)
• Two-tier policy system for self-service workflow tool authorization

Integrate Amazon Bedrock AgentCore as a managed runtime backend for CAIPE Dynamic Agents — enabling AWS-native teams to run, scale, and observe agents using AgentCore's managed infrastructure, memory, and tool execution environment.

• AgentCore runtime adapter for the Dynamic Agents harness
• Agent lifecycle mapping: create / invoke / delete AgentCore agents from CAIPE UI
• Memory bridge: sync AgentCore session memory with CAIPE conversation context
• Tool execution: route MCP tool calls through AgentCore's tool executor
• IAM role-based auth for AgentCore API calls
• Surface AgentCore traces and logs in CAIPE AgentOps

Support multiple agentic harness SDKs — ADK, Strands, Claude SDK — so teams can bring their preferred agent framework without being locked into a single runtime.

• Google ADK (Agent Development Kit) adapter
• AWS Strands SDK adapter
• Anthropic Claude SDK adapter
• Pluggable harness adapter architecture — swap frameworks per agent

Per-user and per-agent LLM token budget enforcement using LiteLLM keys — track spend, set quotas, and prevent runaway inference costs.

• LiteLLM key integration for per-agent token tracking
• Dynamic LLM key creation for dynamic agents
• Budget dashboards and quota alerts in the admin UI

Automated evaluation pipeline for agent response quality — deepeval-based RAG precision/recall, F1 scoring, and a self-improving feedback loop that tightens agent accuracy over time.

• deepeval pipeline: RAG precision, recall, F1 scoring
• Agent response quality scoring (relevance, faithfulness, context recall)
• CI quality gate: fail on regression below threshold
• Self-improving feedback loop

Isolated sandbox environments that let teams test agents safely without touching production data, credentials, or systems.

• Sandboxed agent execution with isolated credentials and tool stubs
• UI toggle to launch any agent in sandbox mode
• Sandbox audit log separate from production
• Automatic sandbox teardown after session or TTL

A plugin architecture that lets teams ship custom agentic apps — dashboards, workflow surfaces, or full UI panels — and register them into the CAIPE shell without forking the core frontend.

• Plugin manifest spec: name, entrypoint, permissions, nav placement
• Sandboxed plugin host in the CAIPE shell (module federation or iframe)
• Plugin SDK: invoke agents, stream results, access auth token
• Plugin registry UI — install, enable/disable, configure per-team
• Reference plugin: SRE Runbook app

Self-directed agents that proactively monitor, detect, and act on platform events without explicit user prompts.

• Event-driven activation from alerts, webhooks, and scheduled checks
• Policy guardrails scoping what actions agents may take without approval
• Human-in-the-loop escalation to Slack/Webex when confidence is low
• Full autonomous run audit trail

AI agents integrated throughout the software development lifecycle — from planning and coding to review, testing, and deployment.

• Planning: agent-assisted epic and story decomposition
• Coding: PR generation and code-review agent
• Testing: test generation and coverage gap detection
• Deployment: agent-driven GitOps promotion with health verification
• Feedback loop: deployment outcome feeds back to planning metrics