Releasesby Ibisty 0.0.87
UpdateyesterdayUnverifiedAdded Oct 14, 2026
Release Notes Released on 2026-10-13. LSP server Clamp notebook cell positions to the end of the cell Fix deadlock when requests arrive before workspace configuration Fix notebook cell lookups after cells with cell magics Fix panic on completions past the end of a notebook's last cell Diagnostic improvements Add opt-in mismatched-sentinel-name rule...
Topics: Governance, Notebooks, Developer tools, Performance
More ty releases
Every ty releasety 0.0.86
Release Notes Released on 2026-10-09. The executables in our macOS and Windows release archives and ty wheels are now code-signed. macOS executables are signed with an Apple Developer ID certificate and notarized by Apple. Windows executables have timestamped Authenticode signatures from Azure Artifact Signing.
ty 0.0.85
Release Notes Released on 2026-10-06. Preview features Refresh uv project metadata when uv files change Bug fixes Avoid recursive lambda class decorator panics Compare observable notebook state for equality Detect recursive alias cycles through intersections Fix anchoring of include and exclude patterns after the project's root changed Fix stack overflow...
ty 0.0.84
Release Notes Released on 2026-09-24. This release addresses GHSA-vxvm-j4xq-q7m4 , a use-after-free vulnerability during incremental type checking that can result in arbitrary code execution when analyzing a specially crafted Python project. Users who run ty on untrusted code should upgrade to 0.0.84 or newer.
ty 0.0.83
Release Notes Released on 2026-09-21. Bug fixes Fix hangs from repeated partial application ( #28754 ) Preserve PEP 695 bindings across nested classes ( #28723 ) LSP server Include required imports in every inlay hint ( #28724 ) Preserve fast name filtering for normalized Unicode source ( #28701 ) Refresh diagnostics after workspace configuration changes (...
ty 0.0.82
Release Notes Released on 2026-09-17. Preview features Ignore Python version from uv metadata ( #28646 ) Watch script dependencies in CLI watch mode ( #28125 ) CLI Only skip uv workspace metadata for a single script ( #28581 ) Support dependency lints with --config-file ( #28573 ) LSP server Filter string literal completions by typed text ( #28612 ) Find...
ty 0.0.81
Release Notes Released on 2026-09-14. Bug fixes Escape glob characters in anchored directory paths ( #28518 ) Ignore divergent markers when detecting descriptors ( #28514 ) CLI Anchor default exclude patterns at the project root ( #28463 ) Core type checking Avoid rebinding extracted method calls ( #28469 ) Default-specialize class objects in meta-protocol...
ty 0.0.80
Release Notes Released on 2026-09-09. Bug fixes Fix --force-exclude for directories with an excluded ancestor ( #28451 ) Preserve metaclass candidates after conflicts ( #28461 ) LSP server Give existing autofixes descriptive titles ( #28456 ) Prevent LSP hangs during inlay hint bursts ( #28390 ) Diagnostic improvements Preserve redundant-condition...
ty 0.0.79
Release Notes Released on 2026-09-07. Bug fixes Avoid dict keyword-call panics when typing is shadowed ( #28292 ) Discover configs in models derived from legacy generic classes ( #28397 ) Normalize recursive collection-use constraints ( #28332 ) Recover cycles when constructing known class instances ( #28289 ) CLI Embed archive checksums in the shell...
Also shipped on Oct 13, 2026
Astral in October 2026What's included:
- Three training methods: Supervised fine-tuning (SFT) , direct preference optimization (DPO) , and reinforcement learning with group relative policy optimization (GRPO) . Each method trains a low-rank adapter (LoRA) or the full model weights. Custom loss functions : Train with any objective you compute in PyTorch from the model's log-probabilities.
The AI.AGG function is generally available (GA)
The AI.AGG function is generally available (GA). You can use this function to semantically aggregate unstructured input data based on natural language instructions.
BigQuery generative AI functions now support the gemini-4-argon model
BigQuery generative AI functions now support the gemini-4-argon model. This model is generally available .
Gemini 4 Argon in CodeMender (Preview)
CodeMender now supports Gemini 4 Argon. To use it, pass --model gemini-4-argon to cm find , cm verify , or cm fix . Gemini 3.8 Flash remains the default model. For more information, see Specifying the model .
Gemini 4 Argon and Gemini 4 Argon Cyber Permissive
Gemini 4 Argon ( gemini-4-argon ) is available in General Availability (GA) . Gemini 4 Argon is Google's frontier model that excels at deep work in complex, real-world tasks across domains including coding, finance, legal, cybersecurity, and science.
On-demand state repartitioning is now generally available
On-demand state repartitioning is now generally available. You can resize the number of shuffle partitions for a stateful Structured Streaming query or Lakeflow pipeline without losing checkpoint state. See On-demand state repartitioning for stateful streaming queries .