v0.2.85
promptslab/Promptifyv0.2.85Sep 8, 2026by akaashrp
Upgrading?
AI Summary
Adds OPFS synchronous access handles and committed cache records, updates the bundled TVM web runtime, and fixes stability issues like hangs and NaN generation parameters.
Key Highlights
- OPFS synchronous access handles and committed cache records
- Updated bundled TVM web runtime to 0.27.0-dev0
- OpenAI-compatible created timestamps now in seconds
- Service-worker handlers register during startup
- Preservation of worker model state to avoid reloads
New Features
- OPFS synchronous access handles
- Committed cache records
- OpenAI-compatible timestamps
- Service-worker handler registration
- Worker state preservation
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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