v0.2.85
NVIDIA/NeMo-Retrieverv0.2.85Sep 8, 2026by akaashrp
Upgrading?
AI Summary
This update introduces synchronous OPFS access handles and updates the bundled TVM web runtime to 0.27.0-dev0. It focuses on improving worker stability by preserving model state and preventing hangs, while also fixing timestamp formatting and adding validation for generation parameters.
Key Highlights
- Added OPFS synchronous access handles and committed cache records
- Updated bundled TVM web runtime to version 0.27.0-dev0
- Preserved recovered worker model state to avoid repeated reloads
- Return OpenAI-compatible timestamps in seconds
- Added validation to reject NaN generation parameters
New Features
- OPFS synchronous access handles
- Service-worker handler registration
- Worker model state preservation
- OpenAI-compatible timestamp formatting
- NaN generation parameter rejection
Full Release Notes
v0.2.85 - Add OPFS synchronous access handles and committed cache records, and update the bundled TVM web runtime to `0.27.0-dev0`. - Return OpenAI-compatible `created` timestamps in seconds. - Register service-worker handlers during startup so restarted workers can receive requests. - Preserve recovered worker model state to avoid repeated reloads. - Prevent hangs when initializing invalid structural-tag constraints. - Reject NaN generation parameters. - Render example output safely and correct cached-model `appConfig` examples. This update continues to use the existing `v0_2_84/base` model libraries. No new model binaries are required by the validated paths. Runtime source: [apache/tvm at 7e06fc6c1420d0188eb9d889bd74e2e1fb76e448](https://github.com/apache/tvm/commit/7e06fc6c1420d0188eb9d889bd74e2e1fb76e448). Changes since the npm 0.2.84 source commit: [9e572d6...5f74244](https://github.com/mlc-ai/web-llm/compare/9e572d6ed95e248f29634996cd32cc8f3023d89d...5f742443179a5463e83a19f704d7c19f1f019f98).
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