Swiss AI Hub v0.314.0

Added

• 🦾 Re-enabled Per-Agent Self-Awareness: Agents can now detect and answer meta-questions about their capabilities
  and workflows, providing a more intuitive and responsive user experience.
• 🧪 New Integration Tests for Meta-Question Routing: Comprehensive integration tests were added to validate that
  meta-questions are correctly handled by self-awareness workflows and bypass irrelevant steps like retrieval.

Changed

• ⚡️ Optimized LLM Structured Output for Speed and Reliability: Switched to response_format JSON schema as the
  default mechanism for structured LLM outputs, particularly for reasoning models on Infomaniak. This update
  significantly improves parsing reliability and drastically reduces latency by disabling unnecessary reasoning during
  structured data extraction.
• ⚙️ Universal response_format Support: All chat models in the LiteLLM configuration now explicitly declare
  support for response_format JSON schema, enabling consistent and high-performance structured output across the
  board.
• 🔄 Introduced Meta-Question Gating for Agent Workflows: Core agent entry steps (e.g., memory retrieval, chat
  history processing) are now gated by meta-question detection. This ensures that meta-questions are handled by
  dedicated self-awareness workflows, preventing them from triggering the main agent pipeline.
• 📄 Improved Resilience for Meta-Question Detection and Answering: Meta-question detection now gracefully handles
  transient API errors and malformed responses, preventing workflow failures. Additionally, meta-question answers
  explicitly disable LLM reasoning to further reduce latency and improve responsiveness.
• 📝 Updated Structured Output Handling in Conversation Metadata: The internal logic for generating conversation
  titles and follow-up questions has been adjusted to leverage the new response_format mechanism, no longer relying on
  forced tool calls. (Note: Conversation metadata generation remains temporarily disabled.)
• 🛡️ McpReactAgent Opts Out of Self-Awareness: The McpReactAgent now explicitly bypasses self-awareness
  features, streamlining its specific workflow.

Refactor

• 🧹 Superseded Prior Resilience Decision: The architectural decision to enhance resilience for reasoning models has
  been updated and superseded by a new document outlining the comprehensive adoption of response_format JSON schema
  for structured LLM outputs.