Note

Adds Local‑First AI mode with model warm‑up and local optimizations, improves routing with auto fallbacks and telemetry, enhances streaming/timeout and tool handling, updates model capabilities, and adds docs and update banner.

• AI/Routing:
  • Introduces Local‑First AI setting (cortexide.global.localFirstAI) with router bias and privacy-mode safeguards (modelRouter.ts, config contribution).
  • Adds adaptive router and full telemetry pipeline (service, storage, analytics) to learn from usage.
  • Improves auto-mode fallbacks, error handling, and tool-call synthesis limits in chatThreadService.ts.
• Performance/Local Models:
  • New model warm-up service and background warm-ups integrated into Autocomplete/Ctrl+K/Apply.
  • Local-provider detection with feature-specific token caps, minimal system prompts, code pruning, and FIM prefix/suffix truncation (convertToLLMMessageService.ts, prompts, edit services).
• LLM Messaging:
  • SDK client pooling for local providers; localhost detection; per-feature max_tokens; streaming FIM with first-token/overall timeouts; tool-call fallback when unsupported; improved Gemini 429 parsing.
• Editing/Autocomplete UX:
  • Autocomplete streams partial text; reduced context lines for locals; safer newline limits.
  • Apply/Ctrl+K use local-optimized prompts and pruning; SCM uses compact local commit prompt.
• Models/Capabilities:
  • Refreshes provider model lists and fallbacks (OpenAI, Anthropic, Gemini, xAI, Mistral, Groq, OpenRouter).
  • Marks OpenAI‑compatible/local providers as tool-capable; reasoning output parsing tweaks.
• MCP:
  • Config supports string URLs and explicit transport type; smarter HTTP/SSE selection; improved error handling.
• UI/Infra:
  • Adds update banner contribution; titlebar menubar layout tweaks; command bar/accessor stability fixes; suppresses noisy init errors; Tree‑sitter load failure handled gracefully.
  • Build includes workbench media assets.
• Docs/Tests:
  • Adds detailed comparison docs and model/edit capability matrix.
  • New tests for local optimizations.

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