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feat: add Gemini 3 Flash (Preview) to AI providers - #107
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Add Google's newly released Gemini 3.0 Flash model (gemini-3-flash-preview) to the available AI models: - Added to Google AI provider (direct API) - Added to OpenRouter provider - Added vision capability support - Added pricing and context window (1M tokens) configuration - Updated iOS AIProviders.swift to mirror web configuration
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Caution Review failedThe pull request is closed. WalkthroughAdded multiple Gemini model entries across iOS and web provider configs, flagged Gemini 3 Flash IDs as vision-capable, and expanded monitoring pricing/context-window entries plus a metadata type change in AI monitoring. Changes
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~25 minutes
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apps/ios/PageSpace/Core/Constants/AIProviders.swift(2 hunks)apps/web/src/lib/ai/core/ai-providers-config.ts(2 hunks)apps/web/src/lib/ai/core/model-capabilities.ts(1 hunks)packages/lib/src/monitoring/ai-monitoring.ts(4 hunks)
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**/*.{ts,tsx}
📄 CodeRabbit inference engine (CLAUDE.md)
Never use
anytypes in TypeScript code - always use proper TypeScript types
**/*.{ts,tsx}: Noanytypes - always use proper TypeScript types
Use kebab-case for filenames (e.g.,image-processor.ts)
Use camelCase for variables and functions
Use UPPER_SNAKE_CASE for constants
Use PascalCase for types and enums
Use centralized permission logic: importgetUserAccessLevelandcanUserEditPagefrom@pagespace/lib/permissions
Use Drizzle client from@pagespace/dbfor all database access
Always structure message content using the message parts structure:{ parts: [{ type: 'text', text: '...' }] }
Use ESM modules and TypeScript strict mode
Files:
apps/web/src/lib/ai/core/ai-providers-config.tsapps/web/src/lib/ai/core/model-capabilities.tspackages/lib/src/monitoring/ai-monitoring.ts
apps/**/*.{ts,tsx}
📄 CodeRabbit inference engine (CLAUDE.md)
apps/**/*.{ts,tsx}: Use centralized permission functions from@pagespace/lib/permissionsfor access control, such asgetUserAccessLevel()andcanUserEditPage()
Always use Drizzle client from@pagespace/dbfor database access instead of direct database connections
Always use message parts structure withpartsarray containing objects withtypeandtextfields when constructing messages for AI
Files:
apps/web/src/lib/ai/core/ai-providers-config.tsapps/web/src/lib/ai/core/model-capabilities.ts
**/*.{ts,tsx,js,jsx}
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apps/web/eslint.config.mjs
Files:
apps/web/src/lib/ai/core/ai-providers-config.tsapps/web/src/lib/ai/core/model-capabilities.tspackages/lib/src/monitoring/ai-monitoring.ts
apps/web/src/**/*.{ts,tsx}
📄 CodeRabbit inference engine (AGENTS.md)
apps/web/src/**/*.{ts,tsx}: Use Zustand for client-side state management
Use SWR for server state and caching
Files:
apps/web/src/lib/ai/core/ai-providers-config.tsapps/web/src/lib/ai/core/model-capabilities.ts
🧠 Learnings (3)
📚 Learning: 2025-12-14T14:54:45.713Z
Learnt from: CR
Repo: 2witstudios/PageSpace PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-14T14:54:45.713Z
Learning: When adding AI providers, follow the integration pattern documented in `docs/3.0-guides-and-tools/adding-ai-provider.md`
Applied to files:
apps/web/src/lib/ai/core/ai-providers-config.tsapps/ios/PageSpace/Core/Constants/AIProviders.swift
📚 Learning: 2025-12-16T19:06:20.385Z
Learnt from: 2witstudios
Repo: 2witstudios/PageSpace PR: 91
File: apps/web/src/components/ai/ui/Image.tsx:2-2
Timestamp: 2025-12-16T19:06:20.385Z
Learning: In apps/web/src/components/ai/ui/Image.tsx (TypeScript/React), the intentional use of `Experimental_GeneratedImage` from the Vercel AI SDK is accepted. This type is the correct and intended way to handle AI-generated images with base64/mediaType properties, and will be updated when the AI SDK stabilizes this API.
Applied to files:
apps/web/src/lib/ai/core/model-capabilities.ts
📚 Learning: 2025-12-14T14:54:47.122Z
Learnt from: CR
Repo: 2witstudios/PageSpace PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-14T14:54:47.122Z
Learning: Use Ollama for local AI models, Vercel AI SDK, OpenRouter, and Google AI SDK for cloud providers
Applied to files:
apps/ios/PageSpace/Core/Constants/AIProviders.swift
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
- GitHub Check: Unit Tests
🔇 Additional comments (6)
apps/ios/PageSpace/Core/Constants/AIProviders.swift (2)
47-47: LGTM - OpenRouter model entry added correctly.The model entry follows the established pattern and is placed appropriately within the Google Models section of the OpenRouter provider.
106-107: LGTM - Google AI Direct model entry added correctly.The new Gemini 3 Series section and model entry are well-organized and consistent with the existing structure. The section comment appropriately marks this as a 2025 model series.
apps/web/src/lib/ai/core/ai-providers-config.ts (2)
65-65: LGTM - OpenRouter model entry added correctly.The model entry is properly placed within the Google Models section and follows the established naming convention.
135-135: LGTM - Google AI Direct model entry added correctly.The model entry is appropriately positioned in the Gemini 3 Series section and maintains consistency with other model entries.
apps/web/src/lib/ai/core/model-capabilities.ts (1)
53-53: The model identifiergemini-3-flash-previewis correct and the model supports vision/multimodal capabilities across both Google AI Direct API and OpenRouter as expected. No changes needed.packages/lib/src/monitoring/ai-monitoring.ts (1)
113-113: Context window sizes are correct per official Google documentation.Gemini 3 models support a 1 million token input context window, and 1,048,576 tokens represents this specification exactly. Both model identifiers (OpenRouter and Google AI Direct) correctly use the same value. Preview models have identical context window limits as stable versions.
Add 70+ missing models to AI_PRICING and MODEL_CONTEXT_WINDOWS: - OpenRouter: o3/o4 research, gpt-oss, devstral, GLM, Qwen, Kimi, MiniMax, DeepSeek, AI21 Jamba, xAI Grok, Mercury - Google AI Direct: gemini-2.0-flash, gemini-2.0-flash-lite - OpenAI Direct: gpt-5 series, gpt-4.1 series, gpt-4o, o-series - Anthropic Direct: Claude 4.1, 3.7, 3.5, 3 series - xAI Direct: all Grok 4/3/2 variants - MiniMax Direct: M2, M2-Stable - GLM Direct: glm-4.6 pricing Also fix gemini-3-flash-preview pricing (0.50/3.00 per 1M tokens) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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⚠️ Outside diff range comments (2)
packages/lib/src/monitoring/ai-monitoring.ts (2)
397-397: Replaceanytype with proper TypeScript type.The
metadata?: any;field violates the coding guideline that explicitly states: "Never useanytypes in TypeScript code - always use proper TypeScript types."🔎 Proposed fix
- metadata?: any; + metadata?: Record<string, unknown>;Alternatively, define a proper interface if the metadata structure is known:
interface AIUsageMetadata { type?: string; feature?: string; toolName?: string; toolId?: string; args?: unknown; result?: unknown; streamingDuration?: number; prompt?: string; completion?: string; [key: string]: unknown; }Then use:
- metadata?: any; + metadata?: AIUsageMetadata;As per coding guidelines.
657-661: Replaceanytype cast with proper TypeScript type.The type assertion
as anyon line 659 violates the coding guideline: "Never useanytypes in TypeScript code - always use proper TypeScript types."🔎 Proposed fix
for (const record of usage) { - if (record.metadata && typeof record.metadata === 'object') { - const metadata = record.metadata as any; - const feature = metadata.type || metadata.feature || 'general_chat'; + if (record.metadata && typeof record.metadata === 'object') { + const metadata = record.metadata as Record<string, unknown>; + const feature = + (typeof metadata.type === 'string' ? metadata.type : null) || + (typeof metadata.feature === 'string' ? metadata.feature : null) || + 'general_chat';As per coding guidelines.
🧹 Nitpick comments (2)
packages/lib/src/monitoring/ai-monitoring.ts (2)
51-76: Consider spot-checking pricing for newly added Asian and third-party models.A large number of new model entries have been added for Chinese/Asian providers (z-ai, qwen, moonshotai, minimax), DeepSeek, AI21, xAI, and others. While the additions appear consistent, consider spot-checking a few entries against official provider documentation to ensure accuracy.
Also applies to: 219-243
14-171: Consider adding consistency validation between pricing and context windows.With numerous models now defined in both
AI_PRICINGandMODEL_CONTEXT_WINDOWS, consider adding a runtime check or type-level validation to ensure every model in pricing has a corresponding context window entry. This would help catch inconsistencies during development.Example validation
// Add after the exports if (process.env.NODE_ENV === 'development') { const pricingKeys = Object.keys(AI_PRICING).filter(k => k !== 'default'); const contextKeys = Object.keys(MODEL_CONTEXT_WINDOWS).filter(k => k !== 'default'); const missingInContext = pricingKeys.filter(k => !contextKeys.includes(k)); if (missingInContext.length > 0) { console.warn('Models in AI_PRICING missing from MODEL_CONTEXT_WINDOWS:', missingInContext); } }Also applies to: 178-342
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**/*.{ts,tsx}
📄 CodeRabbit inference engine (CLAUDE.md)
Never use
anytypes in TypeScript code - always use proper TypeScript types
**/*.{ts,tsx}: Noanytypes - always use proper TypeScript types
Use kebab-case for filenames (e.g.,image-processor.ts)
Use camelCase for variables and functions
Use UPPER_SNAKE_CASE for constants
Use PascalCase for types and enums
Use centralized permission logic: importgetUserAccessLevelandcanUserEditPagefrom@pagespace/lib/permissions
Use Drizzle client from@pagespace/dbfor all database access
Always structure message content using the message parts structure:{ parts: [{ type: 'text', text: '...' }] }
Use ESM modules and TypeScript strict mode
Files:
packages/lib/src/monitoring/ai-monitoring.ts
**/*.{ts,tsx,js,jsx}
📄 CodeRabbit inference engine (AGENTS.md)
Format code with Prettier and lint with ESLint using the configuration at
apps/web/eslint.config.mjs
Files:
packages/lib/src/monitoring/ai-monitoring.ts
🧠 Learnings (1)
📚 Learning: 2025-12-14T14:54:47.122Z
Learnt from: CR
Repo: 2witstudios/PageSpace PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-14T14:54:47.122Z
Learning: Use Ollama for local AI models, Vercel AI SDK, OpenRouter, and Google AI SDK for cloud providers
Applied to files:
packages/lib/src/monitoring/ai-monitoring.ts
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
- GitHub Check: Unit Tests
🔇 Additional comments (3)
packages/lib/src/monitoring/ai-monitoring.ts (3)
39-39: Gemini 3 Flash pricing is correct.Gemini 3 Flash is priced at $0.50/1M input tokens and $3/1M output tokens, with a 1 million-token input context window. The code correctly reflects these values for both OpenRouter (
google/gemini-3-flash-preview) and Google Direct API (gemini-3-flash-preview). All Gemini 3 models are currently in preview, so the "preview" designation in the model names is accurate.
34-35: No action needed. Theopenai/gpt-oss-120bandopenai/gpt-oss-20bmodels are legitimate OpenAI open-weight models available through OpenRouter with correct pricing (0.00 for free models) and context windows (128000 tokens).
94-111: This review comment is inaccurate and should be dismissed.All referenced models are publicly available as of December 2025: GPT-5 was released in August 2025, GPT-4.1 was released in April 2025, and o3, o3-mini, and o4-mini are confirmed available models. These are not "placeholder entries for anticipated future models." The file's pricing data is labeled "as of 2025-01" (January 2025), which is outdated but documented and expected in a monitoring configuration file.
Likely an incorrect or invalid review comment.
Add models that were tracked in monitoring but not available for selection: - Google AI Direct: gemini-2.0-flash-exp, gemini-1.5-pro/flash/flash-8b - OpenRouter: google/gemini-2.0-pro (also added missing pricing) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Update to official pricing rates: - mistralai/devstral-medium: 0.40/2.00 (was 0.50/1.50) - mistralai/devstral-small: 0.10/0.30 (was 0.50/1.50) - openai/o3-deep-research: 10.00/40.00 (was 15.00/60.00) - openai/o4-mini-deep-research: 2.00/8.00 (was 15.00/60.00) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- metadata field: any -> Record<string, unknown> - metadata cast: as any -> as Record<string, unknown> 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Actionable comments posted: 3
♻️ Duplicate comments (2)
packages/lib/src/monitoring/ai-monitoring.ts (2)
29-30: Duplicate: Incorrect pricing for OpenAI deep research models.As noted in previous reviews, these models have incorrect pricing. According to the past review comments,
o3-deep-researchshould be $10/$40 ando4-mini-deep-researchshould be $2/$8 per million tokens, not the current $15/$60 for both.
44-45: Duplicate: Fix devstral pricing—small and medium models have incorrect, identical costs.As noted in previous reviews, both devstral models are incorrectly set to $0.50/$1.50. According to past review comments,
devstral-small-2507should be $0.1/$0.3 anddevstral-mediumshould be $0.4/$2.0 per million tokens.
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apps/web/src/lib/ai/core/ai-providers-config.ts(2 hunks)packages/lib/src/monitoring/ai-monitoring.ts(3 hunks)
🧰 Additional context used
📓 Path-based instructions (4)
**/*.{ts,tsx}
📄 CodeRabbit inference engine (CLAUDE.md)
Never use
anytypes in TypeScript code - always use proper TypeScript types
**/*.{ts,tsx}: Noanytypes - always use proper TypeScript types
Use kebab-case for filenames (e.g.,image-processor.ts)
Use camelCase for variables and functions
Use UPPER_SNAKE_CASE for constants
Use PascalCase for types and enums
Use centralized permission logic: importgetUserAccessLevelandcanUserEditPagefrom@pagespace/lib/permissions
Use Drizzle client from@pagespace/dbfor all database access
Always structure message content using the message parts structure:{ parts: [{ type: 'text', text: '...' }] }
Use ESM modules and TypeScript strict mode
Files:
packages/lib/src/monitoring/ai-monitoring.tsapps/web/src/lib/ai/core/ai-providers-config.ts
**/*.{ts,tsx,js,jsx}
📄 CodeRabbit inference engine (AGENTS.md)
Format code with Prettier and lint with ESLint using the configuration at
apps/web/eslint.config.mjs
Files:
packages/lib/src/monitoring/ai-monitoring.tsapps/web/src/lib/ai/core/ai-providers-config.ts
apps/**/*.{ts,tsx}
📄 CodeRabbit inference engine (CLAUDE.md)
apps/**/*.{ts,tsx}: Use centralized permission functions from@pagespace/lib/permissionsfor access control, such asgetUserAccessLevel()andcanUserEditPage()
Always use Drizzle client from@pagespace/dbfor database access instead of direct database connections
Always use message parts structure withpartsarray containing objects withtypeandtextfields when constructing messages for AI
Files:
apps/web/src/lib/ai/core/ai-providers-config.ts
apps/web/src/**/*.{ts,tsx}
📄 CodeRabbit inference engine (AGENTS.md)
apps/web/src/**/*.{ts,tsx}: Use Zustand for client-side state management
Use SWR for server state and caching
Files:
apps/web/src/lib/ai/core/ai-providers-config.ts
🧠 Learnings (2)
📚 Learning: 2025-12-14T14:54:47.122Z
Learnt from: CR
Repo: 2witstudios/PageSpace PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-14T14:54:47.122Z
Learning: Use Ollama for local AI models, Vercel AI SDK, OpenRouter, and Google AI SDK for cloud providers
Applied to files:
packages/lib/src/monitoring/ai-monitoring.ts
📚 Learning: 2025-12-14T14:54:45.713Z
Learnt from: CR
Repo: 2witstudios/PageSpace PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-14T14:54:45.713Z
Learning: When adding AI providers, follow the integration pattern documented in `docs/3.0-guides-and-tools/adding-ai-provider.md`
Applied to files:
apps/web/src/lib/ai/core/ai-providers-config.ts
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
- GitHub Check: Unit Tests
🔇 Additional comments (8)
packages/lib/src/monitoring/ai-monitoring.ts (4)
194-245: LGTM! Context window sizes align with pricing entries.The context window entries for the newly added models are comprehensive and follow the same structure as the pricing data. The values appear reasonable (128K-2M tokens depending on model tier).
266-328: LGTM! Additional context window entries are properly structured.The OpenAI direct models, Anthropic Claude variants, xAI Grok models, MiniMax, and GLM entries have appropriate context window values that align with their respective model tiers.
34-35: Clarify which provider these pricing values are for.The $0.00 pricing is accurate for OpenRouter's free tier, but this pricing configuration should document which provider it's targeting. If this file supports multiple inference providers, consider adding a provider field or comment to prevent confusion, as paid alternatives like Together AI charge $0.16/$0.60 for gpt-oss-120b and $0.05/$0.20 for gpt-oss-20b per million tokens.
118-130: Verify pricing for newly added Anthropic Claude models.Several new Claude model variants have been added with pricing that should be verified:
- claude-opus-4-1-20250805 ($15/$75)
- claude-sonnet-4-1-20250805 ($3/$15)
- claude-3-7-sonnet-20250219 ($3/$15)
- Additional Claude 3.5 and 3 variants
Confirm these match Anthropic's official pricing.
What is the official Anthropic pricing for Claude Opus 4.1, Claude Sonnet 4.1, and Claude 3.7 Sonnet models?apps/web/src/lib/ai/core/ai-providers-config.ts (4)
65-65: LGTM! Gemini 3 Flash added to OpenRouter models.The addition of
google/gemini-3-flash-previewto OpenRouter models aligns with the PR objectives and matches the corresponding pricing/context entries inai-monitoring.ts.
70-70: LGTM! Gemini 2.0 Pro added to OpenRouter models.The addition of
google/gemini-2.0-proproperly extends the available OpenRouter models and has corresponding entries in the monitoring configuration.
136-136: LGTM! Gemini 3 Flash added to Google AI direct models.The addition of
gemini-3-flash-previewto the Google AI provider matches the OpenRouter entry and aligns with the PR objectives. This model should also be marked as vision-capable inmodel-capabilities.ts(as mentioned in the AI summary).
144-149: LGTM! Gemini 2.0 and 1.5 series additions are consistent.The additions of
gemini-2.0-flash-expand the entire Gemini 1.5 series (pro, flash, flash-8b) properly round out the Google AI model offerings. These entries have corresponding pricing and context window data in the monitoring module.
Updated pricing based on official documentation (Dec 2025): OpenRouter: - z-ai/glm models: 0.48/1.44 and 0.35/1.55 (was 0.10/0.40) - qwen/qwen3-max: 1.20/6.00 (was 0.50/1.50) - moonshotai/kimi-k2: 0.48/2.00 (was 0.20/0.60) - minimax/minimax-m1: 0.44/1.76 (was 0.20/0.60) - deepseek-v3.1-terminus: 0.21/0.32 (was 0.14/0.28) - x-ai/grok-4: 3.00/15.00, grok-4-fast: 0.20/0.50 OpenAI Direct: - gpt-5: 1.25/10.00 (was 10.00/40.00) - gpt-5-mini: 0.25/2.00 (was 1.00/4.00) - gpt-5-nano: 0.05/0.40 (was 0.10/0.40) - o3: 2.00/8.00, o3-mini: 1.10/4.40 (was 15.00/60.00) - o4-mini: 1.10/4.40 (was 15.00/60.00) xAI Direct: - grok-4/3: 3.00/15.00, fast variants: 0.20/0.50 - grok-3-mini: 1.00/5.00, grok-2: 2.00/10.00 MiniMax/GLM Direct: - MiniMax-M2: 0.30/1.20, glm-4.6: 0.39/1.90 Sources: openrouter.ai, platform.openai.com, docs.x.ai 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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⚠️ Outside diff range comments (1)
packages/lib/src/monitoring/ai-monitoring.ts (1)
491-492: Replaceanytypes with proper TypeScript types.The
argsandresultfields useany, which violates the coding guideline: "Noanytypes - always use proper TypeScript types". Consider usingunknownor more specific types.🔎 Proposed fix
export interface AIToolUsage { userId: string; provider: string; model: string; toolName: string; toolId?: string; - args?: any; - result?: any; + args?: Record<string, unknown>; + result?: unknown; duration?: number; success?: boolean; error?: string; conversationId?: string; pageId?: string; }Based on coding guidelines requiring no
anytypes in TypeScript.
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📓 Path-based instructions (2)
**/*.{ts,tsx}
📄 CodeRabbit inference engine (CLAUDE.md)
Never use
anytypes in TypeScript code - always use proper TypeScript types
**/*.{ts,tsx}: Noanytypes - always use proper TypeScript types
Use kebab-case for filenames (e.g.,image-processor.ts)
Use camelCase for variables and functions
Use UPPER_SNAKE_CASE for constants
Use PascalCase for types and enums
Use centralized permission logic: importgetUserAccessLevelandcanUserEditPagefrom@pagespace/lib/permissions
Use Drizzle client from@pagespace/dbfor all database access
Always structure message content using the message parts structure:{ parts: [{ type: 'text', text: '...' }] }
Use ESM modules and TypeScript strict mode
Files:
packages/lib/src/monitoring/ai-monitoring.ts
**/*.{ts,tsx,js,jsx}
📄 CodeRabbit inference engine (AGENTS.md)
Format code with Prettier and lint with ESLint using the configuration at
apps/web/eslint.config.mjs
Files:
packages/lib/src/monitoring/ai-monitoring.ts
🧠 Learnings (1)
📚 Learning: 2025-12-14T14:54:47.122Z
Learnt from: CR
Repo: 2witstudios/PageSpace PR: 0
File: AGENTS.md:0-0
Timestamp: 2025-12-14T14:54:47.122Z
Learning: Use Ollama for local AI models, Vercel AI SDK, OpenRouter, and Google AI SDK for cloud providers
Applied to files:
packages/lib/src/monitoring/ai-monitoring.ts
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (1)
- GitHub Check: Unit Tests
🔇 Additional comments (4)
packages/lib/src/monitoring/ai-monitoring.ts (4)
39-39: LGTM! Gemini 3 Flash Preview successfully added.The Gemini 3 Flash model has been correctly added to both OpenRouter and Google AI Direct providers with consistent pricing ($0.50 input / $3.00 output per 1M tokens) and context window (1M tokens). This aligns with the PR objectives.
Also applies to: 80-80, 212-212, 248-248
398-398: Excellent TypeScript improvement—metadata type strengthened.Changing
metadatafromanytoRecord<string, unknown>improves type safety and aligns with the coding guideline requiring proper TypeScript types instead ofany.
660-661: LGTM! Metadata handling correctly updated.The metadata extraction properly casts to
Record<string, unknown>and safely accesses thetypeandfeatureproperties with appropriate type assertions, maintaining type safety throughout.
29-77: Update model pricing to reflect current official rates:Several entries contain outdated or incorrect pricing. OpenAI reduced o3 pricing by 80% in June 2025 to $2/$8 per million tokens, but the code still shows the previous $10/$40 rates. Gemini 2.5 Pro is $1.25/$10 per million tokens for standard prompts, not $1.25/$5 as listed. Update these entries against current OpenRouter or official provider documentation before deployment, as pricing changes frequently and impact cost calculations directly.
⛔ Skipped due to learnings
Learnt from: CR Repo: 2witstudios/PageSpace PR: 0 File: AGENTS.md:0-0 Timestamp: 2025-12-14T14:54:47.122Z Learning: Use Ollama for local AI models, Vercel AI SDK, OpenRouter, and Google AI SDK for cloud providers
2 participants
Add Google's newly released Gemini 3.0 Flash model (gemini-3-flash-preview)
to the available AI models:
Summary by CodeRabbit
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