feat: implement per-scope Markov chain preflight prediction#3
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aayank13
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Jun 28, 2026
aayank13
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- Refactor PreflightPredictor to track transitions between capabilities per application/session scope.
- Introduce global fallback for scopes with insufficient data.
- Add metrics for preflight effectiveness and expose them via API.
- Implement SubscriptionRegistry for managing capability subscriptions with TTL.
- Enhance Router to support memory and lifecycle reporting, and subscription management.
- Add new EngineEvent variants for model eviction and preflight warming events.
- Refactor PreflightPredictor to track transitions between capabilities per application/session scope. - Introduce global fallback for scopes with insufficient data. - Add metrics for preflight effectiveness and expose them via API. - Implement SubscriptionRegistry for managing capability subscriptions with TTL. - Enhance Router to support memory and lifecycle reporting, and subscription management. - Add new EngineEvent variants for model eviction and preflight warming events.
- Introduced a new `stream` method in the `Provider` trait to allow providers to emit incremental text deltas during inference. - Added `StreamChunk` enum to represent different types of events in a streaming inference response, including `Started`, `Text`, `Completed`, and `Error`. - Implemented `invoke_stream` in the `DaemonClient` to handle streaming responses over SSE. - Updated the HTTP server to include a new `/v1/invoke/stream` endpoint for streaming inference output. - Enhanced the `Router` to support bearer token authentication for API routes. - Added metrics endpoint for Prometheus scraping. - Improved error handling and request correlation with `x-request-id` headers. - Updated dependencies in `Cargo.toml` for `reqwest` and `tokio`.
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