Platform Growth and Infrastructure Improvements
Langfuse Observability Integration
AEOS now integrates with Langfuse for deep observability across the agent execution pipeline. Every agent action, context retrieval, and orchestration decision generates structured traces that flow into Langfuse for analysis.
Traces include cost attribution, latency breakdowns, and NERO coherence scores, giving you full visibility into agent performance and behavior.
Infrastructure Scaling
The AWE runtime now auto-scales based on workspace demand. During peak periods, additional compute capacity is provisioned automatically. During quiet periods, resources are reclaimed. This eliminates the need for manual capacity planning.
UCE Improvements
- Context resolution now supports graph traversal queries via Neo4j, enabling relationship-aware context retrieval
- Added TTL-based context expiration for ephemeral data
- Context schema validation now provides detailed error messages when agent-provided context doesn't match the expected schema
MOSAIC Improvements
- Parallel agent execution with configurable concurrency limits
- Workflow timeout handling with graceful cancellation
- Improved task routing algorithm that considers agent load and recent performance