Releasesby Glyphty 0.0.100
Release Notes Released on 2026-11-09. Breaking changes Distinguish attributes missing from some union members Give abstract class instantiation its own diagnostic rule Separate missing and inconsistent overload implementation diagnostics Split invalid-key into three TypedDict diagnostic rules Split out lost-keyword-for-regular-parameter from...
Also shipped Nov 9, 2026Astral in November 2026 →
The following AlloyDB AI features and improvements are generally available ( GA ): - Smart batching for AI...
The following AlloyDB AI features and improvements are generally available ( GA ): Smart batching for AI functions: AI function acceleration is generally available for ai.if , ai.rank , ai.analyze_sentiment , ai.summarize , ai.extract , ai.classify , and ai.generate on AlloyDB clusters running PostgreSQL 17 and later.
To support your FinOps practices, you can now opt in to compute cost attribution in BigQuery editions
To support your FinOps practices, you can now opt in to compute cost attribution in BigQuery editions. This feature attributes billed compute charges directly to the query projects that use your administration project's reservation capacity.
Query performance troubleshooting and job and system performance comparison in the BigQuery jobs explorer are...
Query performance troubleshooting and job and system performance comparison in the BigQuery jobs explorer are generally available (GA). For more information, see Troubleshoot job performance and Diagnose performance regressions by comparing jobs and systems .
When you create or schedule a pipeline, you can specify the maximum number of concurrently executed pipeline...
When you create or schedule a pipeline, you can specify the maximum number of concurrently executed pipeline tasks. This feature is generally available (GA).
You can use compression functions in GoogleSQL to compress or decompress bytes or string values by using the...
You can use compression functions in GoogleSQL to compress or decompress bytes or string values by using the Zstandard (Zstd) lossless data compression algorithm. The following functions are supported: ZSTD_COMPRESS ZSTD_DECOMPRESS_TO_BYTES ZSTD_DECOMPRESS_TO_STRING These functions are in Preview .
Fast mode for Anthropic Claude models is generally available
Fast mode for supported Anthropic Claude models, starting with Claude Fable 5.2 ( claude-fable-5-2 ), is available in General Availability (GA) . You can set "speed": "fast" in online pay-as-you-go prediction requests to accelerate output token generation for latency-sensitive agentic workflows.
More from tyEvery ty release →
ty 0.0.99
ty release 0.0.99 resolves shell completion output errors and adds LSP server support for workspace/willRenameFiles requests.
ty 0.0.98
ty 0.0.98 includes bug fixes for type annotations and pattern matching, along with memory usage improvements and configuration updates.
ty 0.0.97
Version 0.0.97 of ty includes bug fixes for type inference, Django support, and diagnostic improvements.
ty 0.0.96
Release Notes Released on 2026-11-03. Bug fixes Fix a panic when checking protocols involving runtime type aliases Preserve Pydantic field metadata in quoted annotations Resolve class-local names in generic type aliases LSP server Keep argument name hints display-only before later positional arguments or *args Keep argument name hints display-only when they...
ty 0.0.95
Ty 0.0.95 includes bug fixes for type variable handling, protocol materialization, and inlay hint placement.
ty 0.0.93
The ty 0.0.93 release introduces diagnostic baselines in preview to help adopt the tool in projects with existing errors. It also includes several core type checking fixes and performance improvements.
ty 0.0.94
The ty 0.0.94 release includes several bug fixes for line continuation, Linux startup, and various panic scenarios.
ty 0.0.92
The ty type checker now supports Django model primary key and foreign key inference, recognizes specific Django model field methods, and emits SARIF reports. It also includes performance improvements and diagnostic enhancements for nested tuple types.