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google-labs-jules bot and others added 3 commits May 25, 2025 19:19
This commit delivers the enhancements outlined in Phase 2, building upon
the MVP backend. Key advancements include integration with Supabase,
dynamic MCP tool management, foundational A2A communication, improved
orchestration, and basic observability.

Key Changes:

1.  **Supabase Integration:**
    *   State persistence migrated to Supabase PostgreSQL.
    *   API key authentication transitioned to a Supabase Edge Function,
        with the backend now expecting an `X-Auth-Validation-Status` header.
        (Documented in `backend/docs/supabase_edge_functions.md`).

2.  **MCP Tool Management & Integration:**
    *   `MCPToolService` enhanced with `MCPToolDefinition` and `MCPToolRegistry`
        for dynamic registration and invocation of tools (Python functions
        or HTTP endpoints).
    *   Orchestration service dynamically prompts LLM with available tools.
    *   Integrated new mock tools: Calculator and Note-Taking (add/get).
    *   Added `jsonschema` for MCP input validation.

3.  **A2A Communication Foundations:**
    *   `A2ACommunicationService` and message models (`A2ATaskRequest`,
        `A2ATaskResponse`) introduced.
    *   Mock A2A server created (`mock_a2a_server/`) for testing client logic.

4.  **Enhanced Orchestration:**
    *   `OrchestrationService` refactored to support multi-step interactions
        within a single user turn, allowing sequences of MCP tool calls or
        A2A delegations based on LLM decisions.
    *   New AG-UI events for A2A: `A2A_DELEGATION_START`, `A2A_DELEGATION_RESULT`.

5.  **Observability Basics:**
    *   Centralized, structured JSON logging implemented using
        `python-json-logger`.
    *   `BasicMetricsMiddleware` added for collecting request/error rates
        and latencies, with a `/metrics-debug` endpoint.

6.  **Testing & Documentation:**
    *   Comprehensive unit and integration tests added for all new features.
    *   `backend/README.md` and other documentation updated, including a new
        `backend/docs/phase2_summary.md`.

These changes significantly improve the backend's flexibility, capabilities,
and readiness for more advanced production scenarios.
This commit delivers the enhancements outlined in Phase 3, focusing on
making the AI assistant backend production-ready. It includes major
improvements to security, scalability, performance, observability, and
my capabilities.

Key Changes:

1.  **Comprehensive Security:**
    *   Authentication shifted to OAuth 2.0 using Supabase Auth JWTs,
        validated by an Edge Function. FastAPI backend now receives your
        identity via headers.
    *   Secure credential management for my capabilities implemented (loading from
        environment variables specified in capability definitions).
    *   Role-Based Access Control (RBAC) added for capabilities (e.g., admin-only capabilities).
    *   Basic keyword-based guardrails for LLM outputs integrated.
    *   Full audit trails established with an `AuditEvent` model, logging
        critical system events.
    *   mTLS strategy documented for future inter-service communication.

2.  **Scalability & Performance:**
    *   Ensured fully asynchronous I/O operations, especially for LLM calls
        (using `AsyncOpenAI`).
    *   Implemented LRU caching for my capability definitions (`cachetools`).
    *   Containerized the backend and mock A2A server with Docker &
        Docker Compose.
    *   Added `/health` and `/readiness` endpoints for managed deployments.
    *   Documented Kubernetes deployment and load testing strategies.

3.  **High Availability & Disaster Recovery:**
    *   Conceptual HA/DR strategies documented, covering database, backend
        service, caching, and data restoration.

4.  **Full Observability Stack (Enhancements):**
    *   Integrated OpenTelemetry for distributed tracing, instrumenting FastAPI,
        HTTPX clients, and LLM calls.
    *   Documented comprehensive monitoring dashboard and alerting strategies.

5.  **Advanced A2A Communication:**
    *   Enhanced A2A client with `tenacity` for retries on transient errors.
    *   Documented conceptual strategies for dynamic A2A agent discovery
        and for the backend to expose A2A server capabilities.

6.  **Advanced Agent Behaviors:**
    *   I now prompt the LLM for error recovery steps when
        actions fail.
    *   Enabled basic structured planning: The LLM can output a list
        of actions that I execute sequentially.

7.  **Governance (Conceptual):**
    *   Documented strategies for my capability onboarding/management and A2A
        interaction policies.

8.  **Testing & Documentation:**
    *   Developed extensive unit and integration tests for all new Phase 3
        features.
    *   Updated all relevant documentation, including `README.md` and a new
        `phase3_summary.md`.

This phase completes the planned transformation, resulting in a backend
that is significantly more secure, scalable, observable, and intelligent,
well-suited for production deployment.
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Still needs thorough testing, all changes from Google Jules

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