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* feat: add GitHub Copilot as OAuth-based LLM provider Add GitHub Copilot as a second OAuth provider using the Device Code flow (RFC 8628). Users authenticate via github.com/login/device, and the server polls for token completion. Supports 25+ models through a single Copilot subscription. Key changes: - Device Code OAuth flow in token manager (poll with safety margin) - Custom fetch wrapper injecting Copilot headers + vision detection - Provider factory using createOpenAICompatible for Chat Completions API - Extension UI with template card, auto-create on auth, and disconnect * fix: address PR review comments for GitHub Copilot OAuth - Validate device code response for error fields (GitHub can return 200 with error payload) - Store empty refreshToken instead of access token for GitHub tokens - Add closeButton to Toaster for dismissing device code toast * fix: add github-copilot to agent provider factory The chat route uses a separate provider-factory.ts (agent layer) from the test-provider route (llm/provider.ts). Added createGitHubCopilotFactory to the agent factory so chat works with GitHub Copilot. * fix: add github-copilot to provider icons, models, and dialog - Add Github icon from lucide-react to providerIcons map - Add 8 Copilot models (GPT-4o, Claude, Gemini, Grok) to models.ts - Add github-copilot to NewProviderDialog zod enum, validation skip, canTest check, and OAuth credential message * fix: reorder copilot models with free-tier models first Put models available on Copilot Free at the top (gpt-4o, gpt-4.1, gpt-5-mini, claude-haiku-4.5, grok-code-fast-1), followed by premium models that require paid Copilot subscription. * fix: set correct 64K context window for Copilot models Copilot API enforces a 64K input token limit regardless of the underlying model's native context window. Updated all model entries and the default template to 64000 so compaction triggers correctly. * fix: use actual per-model prompt limits from Copilot /models API Queried api.githubcopilot.com/models for real max_prompt_tokens values. GPT-4o/4.1 have 64K, Claude/gpt-5-mini have 128K, GPT-5.x have 272K. Also updated model list to match what's actually available on the API (e.g. claude-sonnet-4.6 instead of 4.5, added gpt-5.4/5.2-codex). * feat: resize images for Copilot using VS Code's algorithm Large screenshots cause 413 errors on Copilot's API. Resize images following VS Code's approach: max 2048px longest side, 768px shortest side, re-encode as JPEG at 75% quality. Uses sharp for server-side image processing. * fix: address all Greptile P1 review comments - Add .catch() on fire-and-forget pollDeviceCode to prevent unhandled rejection crashes (Node 15+) - Add deduplication guard (activeDeviceFlows Set) to prevent concurrent device code flows for the same provider - Add runtime validation of server response in frontend before calling window.open() and showing toast - Remove dead GITHUB_DEVICE_VERIFICATION constant from urls.ts * fix: upgrade biome to 2.4.8, fix all lint errors, and address review bugs - Upgrade biome from 2.4.5 to 2.4.8 (matches CI) and migrate configs - Fix image resize: only re-encode when dimensions actually change - Fix device code polling: retry on transient network errors instead of aborting - Allow restarting device code flow (clear old flow instead of throwing 500) - Fix pre-existing noNonNullAssertion and noExplicitAny lint errors globally * fix: address Greptile P2 review — image resize and config guard - Fix early-return guard: check max/min sides against their respective limits (MAX_LONG_SIDE/MAX_SHORT_SIDE) instead of both against SHORT - Preserve PNG alpha: detect hasAlpha and keep PNG format instead of unconditionally converting to lossy JPEG - Keep browserosId guard in resolveGitHubCopilotConfig consistent with ChatGPT Pro pattern (safety check that caller context is valid) * feat: update Copilot models to full list from pricing page, default to gpt-5-mini Added all 23 models from GitHub Copilot pricing page. Ordered with free-tier models first (gpt-5-mini, claude-haiku-4.5), then premium. Changed default from gpt-4o to gpt-5-mini since it's unlimited on Pro plan and has 128K context (vs gpt-4o's 64K limit).