- Migrated 288 lines of scattered error classification logic from `utils/error-id.ts` into a cohesive `packages/ai/src/error/` module with 13 specialized submodules covering flags, classes, OAuth, providers, rate-limiting, and finalization.
- Replaced 100+ generic `Error` throws across 60+ provider and registry files with semantic `AIError.*` classes (e.g., `AIError.MissingApiKeyError`, `AIError.OAuthError`, `AIError.ProviderResponseError`), improving error diagnostics and retry logic.
- Consolidated error utility imports from `pi-utils` and scattered classification functions into a single `AIError` namespace, reducing coupling and simplifying error handling across all packages.
- Added `rewrite-changelog.ts` and `fix-changelogs.ts` utilities to automate the consolidation of release notes using LLM-assisted processing.
- Updated multiple internal changelog files by consolidating redundant entries and improving phrasing for readability.
- Implemented `previewLine` utility in `coding-agent` to prevent visual spillover in status rows by managing text truncation and whitespace.
- Updated `package.json` with new workflow scripts for managing package-level change histories and documentation indexes.
- Implemented the Devin inference provider, including OAuth flow with PKCE, Connect protocol integration, and streaming support for chat requests.
- Integrated comprehensive Protobuf-based service definitions and generated TypeScript clients for Devin's API infrastructure, including model management and workspace operations.
- Updated the AI and Catalog modules to support dynamic model discovery, provider-specific configuration, and authentication.
- Standardized tool call arguments as `Record<string, unknown>` across provider implementations to ensure type safety.
- Replaced `partial-json` with a high-performance `RelaxedJson` parser capable of handling LLM-specific malformations.
- Enabled native support for unquoted keys, single quotes, comments, and Python literals (`True`/`False`/`None`).
- Improved streaming robustness by rejecting non-finite numbers (NaN/Infinity) and rolling back incomplete trailing tokens.
- Optimized tool-call execution by ensuring malformed or truncated arguments are skipped instead of surfaced as undefined/NaN.
- Added comprehensive test suite for both strict repair parsing and partial streaming scenarios.
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