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Switch to fast model for user actions#631

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elie222 merged 6 commits intomainfrom
cursor/switch-to-chat-model-for-user-actions-4934
Aug 6, 2025
Merged

Switch to fast model for user actions#631
elie222 merged 6 commits intomainfrom
cursor/switch-to-chat-model-for-user-actions-4934

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@elie222
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@elie222 elie222 commented Aug 3, 2025

Use the faster 'chat' AI model for user-initiated frontend actions to improve UX, and retain the 'default' model for background operations.

Summary by CodeRabbit

  • New Features

    • Added support for specifying the AI model type used in email rule processing and cold email detection, allowing for more flexible AI behavior.
  • Bug Fixes

    • Improved handling of model type selection in cold email detection and AI-generated email actions.
  • Tests

    • Updated tests to validate correct model type handling in email processing workflows.

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📥 Commits

Reviewing files that changed from the base of the PR and between c9fd1b9 and acf0a02.

📒 Files selected for processing (2)
  • apps/web/utils/cold-email/is-cold-email.ts (9 hunks)
  • version.txt (1 hunks)

Walkthrough

This change propagates a new modelType parameter through various AI-related utility functions, cold email detection logic, and rule execution workflows. The parameter is added to function signatures, passed through internal calls, and set to specific values ("chat" or "default") at integration points. Test cases and API handlers are updated to accommodate the new argument.

Changes

Cohort / File(s) Change Summary
Cold Email Detection Utilities
apps/web/utils/cold-email/is-cold-email.ts
Added optional/required modelType parameter to isColdEmail, isColdEmailWithProvider, aiIsColdEmail, and runColdEmailBlockerWithProvider to allow specifying the AI model type for cold email detection.
AI Rule Execution Utilities
apps/web/utils/ai/choose-rule/ai-choose-args.ts, apps/web/utils/ai/choose-rule/ai-choose-rule.ts, apps/web/utils/ai/choose-rule/choose-args.ts, apps/web/utils/ai/choose-rule/match-rules.ts, apps/web/utils/ai/choose-rule/run-rules.ts
Added modelType parameter to function signatures and propagated it through rule matching, argument generation, and rule execution functions to enable model selection during AI operations.
Cold Email Action
apps/web/utils/actions/cold-email.ts
Added modelType: "chat" to the argument object in the testColdEmailAction action.
AI Rule Actions
apps/web/utils/actions/ai-rule.ts
Added modelType: "chat" to the options passed to runRules in runRulesAction and testAiCustomContentAction.
AI Nudge Generation
apps/web/utils/ai/reply/generate-nudge.ts
Added modelType: "chat" to the argument object in the chatCompletion function call within aiGenerateNudge.
Google Webhook Handler and Tests
apps/web/app/api/google/webhook/process-history-item.ts, apps/web/app/api/google/webhook/process-history-item.test.ts
Passed modelType: "default" to runColdEmailBlockerWithProvider and runRules in the handler; updated tests to expect this argument and verify correct invocation.
Outlook Webhook Handler
apps/web/app/api/outlook/webhook/process-history-item.ts
Passed modelType: "default" to runColdEmailBlockerWithProvider and runRules in the handler.

Sequence Diagram(s)

sequenceDiagram
    participant API_Handler as API Handler (Google/Outlook)
    participant ColdEmailBlocker as runColdEmailBlockerWithProvider
    participant RuleRunner as runRules
    participant RuleMatcher as findMatchingRule
    participant ActionGenerator as getActionItemsWithAiArgs
    participant AI as chatCompletion / chatCompletionObject

    API_Handler->>ColdEmailBlocker: runColdEmailBlockerWithProvider(..., modelType)
    ColdEmailBlocker->>AI: aiIsColdEmail(..., modelType)

    API_Handler->>RuleRunner: runRules(..., modelType)
    RuleRunner->>RuleMatcher: findMatchingRule(..., modelType)
    RuleMatcher->>AI: aiChooseRule(..., modelType)
    RuleRunner->>ActionGenerator: getActionItemsWithAiArgs(..., modelType)
    ActionGenerator->>AI: aiGenerateArgs(..., modelType)
Loading

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

Possibly related PRs

  • Add Outlook Cold Email support #603: Refactors cold email detection and blocking logic to use a generic email provider abstraction, directly modifying function signatures and calls in isColdEmail and related utilities—highly related at the code level.

Poem

A rabbit hopped through lines of code,
Passing modelType down each road.
From cold emails to AI rules,
Now every function knows the tools.
"Chat" or "default"—let's be precise,
For inboxes clean and code that's nice!
🐇✨

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🧪 Generate unit tests
  • Create PR with unit tests
  • Post copyable unit tests in a comment
  • Commit unit tests in branch cursor/switch-to-chat-model-for-user-actions-4934

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Actionable comments posted: 2

📜 Review details

Configuration used: .coderabbit.yaml
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between fcbca06 and a74f4d3.

📒 Files selected for processing (9)
  • apps/web/utils/actions/cold-email.ts (1 hunks)
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts (1 hunks)
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts (4 hunks)
  • apps/web/utils/ai/choose-rule/choose-args.ts (3 hunks)
  • apps/web/utils/ai/choose-rule/match-rules.ts (3 hunks)
  • apps/web/utils/ai/choose-rule/run-rules.ts (2 hunks)
  • apps/web/utils/ai/choose-rule/types.ts (1 hunks)
  • apps/web/utils/ai/reply/generate-nudge.ts (1 hunks)
  • apps/web/utils/cold-email/is-cold-email.ts (6 hunks)
🧰 Additional context used
📓 Path-based instructions (12)
apps/web/**/*.{ts,tsx}

📄 CodeRabbit Inference Engine (apps/web/CLAUDE.md)

apps/web/**/*.{ts,tsx}: Use TypeScript with strict null checks
Path aliases: Use @/ for imports from project root
Use proper error handling with try/catch blocks
Format code with Prettier
Leverage TypeScript inference for better DX

Files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/actions/cold-email.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/types.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
  • apps/web/utils/cold-email/is-cold-email.ts
!{.cursor/rules/*.mdc}

📄 CodeRabbit Inference Engine (.cursor/rules/cursor-rules.mdc)

Never place rule files in the project root, in subdirectories outside .cursor/rules, or in any other location

Files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/actions/cold-email.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/types.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
  • apps/web/utils/cold-email/is-cold-email.ts
**/*.ts

📄 CodeRabbit Inference Engine (.cursor/rules/form-handling.mdc)

**/*.ts: The same validation should be done in the server action too
Define validation schemas using Zod

Files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/actions/cold-email.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/types.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
  • apps/web/utils/cold-email/is-cold-email.ts
apps/web/utils/{ai,llms}/**/*

📄 CodeRabbit Inference Engine (.cursor/rules/llm.mdc)

apps/web/utils/{ai,llms}/**/*: LLM-related code must be organized in the directories: apps/web/utils/ai/, apps/web/utils/llms/, and apps/web/tests/ for LLM-specific tests.
Keep related AI functions in the same file or directory.

Files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/types.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
apps/web/utils/{ai,llms}/**/*.ts

📄 CodeRabbit Inference Engine (.cursor/rules/llm.mdc)

apps/web/utils/{ai,llms}/**/*.ts: Follow the standard structure for LLM-related functions: use a scoped logger, define a Zod schema for output, validate inputs early, separate system and user prompts, log inputs and outputs, call chatCompletionObject with proper configuration, and return validated results.
Keep system prompts and user prompts separate in LLM-related code.
System prompt should define the LLM's role and task specifications.
User prompt should contain the actual data and context.
Always define a Zod schema for response validation in LLM-related functions.
Make Zod schemas as specific as possible to guide the LLM output.
Use descriptive scoped loggers for each LLM feature.
Log inputs and outputs with appropriate log levels in LLM-related functions.
Include relevant context in log messages for LLM-related code.
Implement early returns for invalid inputs in LLM-related functions.
Use proper error types and logging in LLM-related code.
Implement fallbacks for AI failures in LLM-related functions.
Add retry logic for transient failures using withRetry in LLM-related code.
Use XML-like tags to structure data in LLM prompts.
Remove excessive whitespace and truncate long inputs in LLM prompts.
Format data consistently across similar LLM-related functions.
Use TypeScript types for all parameters and return values in LLM-related code.
Define clear interfaces for complex input/output structures in LLM-related code.
Extract common patterns into utility functions in LLM-related code.
Document complex AI logic with clear comments in LLM-related code.

Files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/types.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
**/*.{ts,tsx}

📄 CodeRabbit Inference Engine (.cursor/rules/logging.mdc)

**/*.{ts,tsx}: Use createScopedLogger for logging in backend TypeScript files
Typically add the logger initialization at the top of the file when using createScopedLogger
Only use .with() on a logger instance within a specific function, not for a global logger

Import Prisma in the project using import prisma from "@/utils/prisma";

**/*.{ts,tsx}: Don't use TypeScript enums.
Don't use TypeScript const enum.
Don't use the TypeScript directive @ts-ignore.
Don't use primitive type aliases or misleading types.
Don't use empty type parameters in type aliases and interfaces.
Don't use any or unknown as type constraints.
Don't use implicit any type on variable declarations.
Don't let variables evolve into any type through reassignments.
Don't use non-null assertions with the ! postfix operator.
Don't misuse the non-null assertion operator (!) in TypeScript files.
Don't use user-defined types.
Use as const instead of literal types and type annotations.
Use export type for types.
Use import type for types.
Don't declare empty interfaces.
Don't merge interfaces and classes unsafely.
Don't use overload signatures that aren't next to each other.
Use the namespace keyword instead of the module keyword to declare TypeScript namespaces.
Don't use TypeScript namespaces.
Don't export imported variables.
Don't add type annotations to variables, parameters, and class properties that are initialized with literal expressions.
Don't use parameter properties in class constructors.
Use either T[] or Array consistently.
Initialize each enum member value explicitly.
Make sure all enum members are literal values.

Files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/actions/cold-email.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/types.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
  • apps/web/utils/cold-email/is-cold-email.ts
apps/web/utils/**

📄 CodeRabbit Inference Engine (.cursor/rules/project-structure.mdc)

Create utility functions in utils/ folder for reusable logic

Files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/actions/cold-email.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/types.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
  • apps/web/utils/cold-email/is-cold-email.ts
apps/web/utils/**/*.ts

📄 CodeRabbit Inference Engine (.cursor/rules/project-structure.mdc)

apps/web/utils/**/*.ts: Use lodash utilities for common operations (arrays, objects, strings)
Import specific lodash functions to minimize bundle size

Files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/actions/cold-email.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/types.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
  • apps/web/utils/cold-email/is-cold-email.ts
**/*.{js,jsx,ts,tsx}

📄 CodeRabbit Inference Engine (.cursor/rules/ultracite.mdc)

**/*.{js,jsx,ts,tsx}: Don't use elements in Next.js projects.
Don't use elements in Next.js projects.
Don't use namespace imports.
Don't access namespace imports dynamically.
Don't use global eval().
Don't use console.
Don't use debugger.
Don't use var.
Don't use with statements in non-strict contexts.
Don't use the arguments object.
Don't use consecutive spaces in regular expression literals.
Don't use the comma operator.
Don't use unnecessary boolean casts.
Don't use unnecessary callbacks with flatMap.
Use for...of statements instead of Array.forEach.
Don't create classes that only have static members (like a static namespace).
Don't use this and super in static contexts.
Don't use unnecessary catch clauses.
Don't use unnecessary constructors.
Don't use unnecessary continue statements.
Don't export empty modules that don't change anything.
Don't use unnecessary escape sequences in regular expression literals.
Don't use unnecessary labels.
Don't use unnecessary nested block statements.
Don't rename imports, exports, and destructured assignments to the same name.
Don't use unnecessary string or template literal concatenation.
Don't use String.raw in template literals when there are no escape sequences.
Don't use useless case statements in switch statements.
Don't use ternary operators when simpler alternatives exist.
Don't use useless this aliasing.
Don't initialize variables to undefined.
Don't use the void operators (they're not familiar).
Use arrow functions instead of function expressions.
Use Date.now() to get milliseconds since the Unix Epoch.
Use .flatMap() instead of map().flat() when possible.
Use literal property access instead of computed property access.
Don't use parseInt() or Number.parseInt() when binary, octal, or hexadecimal literals work.
Use concise optional chaining instead of chained logical expressions.
Use regular expression literals instead of the RegExp constructor when possible.
Don't use number literal object member names th...

Files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/actions/cold-email.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/types.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
  • apps/web/utils/cold-email/is-cold-email.ts
!pages/_document.{js,jsx,ts,tsx}

📄 CodeRabbit Inference Engine (.cursor/rules/ultracite.mdc)

!pages/_document.{js,jsx,ts,tsx}: Don't import next/document outside of pages/_document.jsx in Next.js projects.
Don't import next/document outside of pages/_document.jsx in Next.js projects.

Files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/actions/cold-email.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/types.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
  • apps/web/utils/cold-email/is-cold-email.ts
apps/web/utils/actions/**/*.ts

📄 CodeRabbit Inference Engine (apps/web/CLAUDE.md)

apps/web/utils/actions/**/*.ts: Use server actions for all mutations (create/update/delete operations)
next-safe-action provides centralized error handling
Use Zod schemas for validation on both client and server
Use revalidatePath in server actions for cache invalidation

apps/web/utils/actions/**/*.ts: Use server actions (with next-safe-action) for all mutations (create/update/delete operations); do NOT use POST API routes for mutations.
Use revalidatePath in server actions to invalidate cache after mutations.

Files:

  • apps/web/utils/actions/cold-email.ts
apps/web/utils/actions/*.ts

📄 CodeRabbit Inference Engine (.cursor/rules/server-actions.mdc)

apps/web/utils/actions/*.ts: Implement all server actions using the next-safe-action library for type safety, input validation, context management, and error handling. Refer to apps/web/utils/actions/safe-action.ts for client definitions (actionClient, actionClientUser, adminActionClient).
Use actionClientUser when only authenticated user context (userId) is needed.
Use actionClient when both authenticated user context and a specific emailAccountId are needed. The emailAccountId must be bound when calling the action from the client.
Use adminActionClient for actions restricted to admin users.
Access necessary context (like userId, emailAccountId, etc.) provided by the safe action client via the ctx object in the .action() handler.
Server Actions are strictly for mutations (operations that change data, e.g., creating, updating, deleting). Do NOT use Server Actions for data fetching (GET operations). For data fetching, use dedicated GET API Routes combined with SWR Hooks.
Use SafeError for expected/handled errors within actions if needed. next-safe-action provides centralized error handling.
Use the .metadata({ name: "actionName" }) method to provide a meaningful name for monitoring. Sentry instrumentation is automatically applied via withServerActionInstrumentation within the safe action clients.
If an action modifies data displayed elsewhere, use revalidatePath or revalidateTag from next/cache within the action handler as needed.

Server action files must start with use server

Files:

  • apps/web/utils/actions/cold-email.ts
🧠 Learnings (36)
📓 Common learnings
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Use TypeScript types for all parameters and return values in LLM-related code.
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Implement fallbacks for AI failures in LLM-related functions.
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm-test.mdc:0-0
Timestamp: 2025-07-18T15:06:10.570Z
Learning: Applies to apps/web/__tests__/**/*.test.ts : Test both AI and non-AI paths in LLM-related tests
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Use proper error types and logging in LLM-related code.
📚 Learning: applies to apps/web/utils/{ai,llms}/**/*.ts : document complex ai logic with clear comments in llm-r...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Document complex AI logic with clear comments in LLM-related code.

Applied to files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/types.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
  • apps/web/utils/cold-email/is-cold-email.ts
📚 Learning: applies to apps/web/utils/{ai,llms}/**/*.ts : use typescript types for all parameters and return val...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Use TypeScript types for all parameters and return values in LLM-related code.

Applied to files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/types.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
  • apps/web/utils/cold-email/is-cold-email.ts
📚 Learning: applies to apps/web/utils/{ai,llms}/**/*.ts : implement fallbacks for ai failures in llm-related fun...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Implement fallbacks for AI failures in LLM-related functions.

Applied to files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/types.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
  • apps/web/utils/cold-email/is-cold-email.ts
📚 Learning: applies to apps/web/utils/{ai,llms}/**/*.ts : follow the standard structure for llm-related function...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Follow the standard structure for LLM-related functions: use a scoped logger, define a Zod schema for output, validate inputs early, separate system and user prompts, log inputs and outputs, call chatCompletionObject with proper configuration, and return validated results.

Applied to files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
  • apps/web/utils/cold-email/is-cold-email.ts
📚 Learning: applies to apps/web/utils/{ai,llms}/**/*.ts : user prompt should contain the actual data and context...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : User prompt should contain the actual data and context.

Applied to files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
📚 Learning: applies to apps/web/utils/{ai,llms}/**/*.ts : system prompt should define the llm's role and task sp...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : System prompt should define the LLM's role and task specifications.

Applied to files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
📚 Learning: applies to apps/web/utils/{ai,llms}/**/*.ts : keep system prompts and user prompts separate in llm-r...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Keep system prompts and user prompts separate in LLM-related code.

Applied to files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
📚 Learning: applies to apps/web/utils/{ai,llms}/**/*.ts : make zod schemas as specific as possible to guide the ...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Make Zod schemas as specific as possible to guide the LLM output.

Applied to files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
📚 Learning: applies to apps/web/utils/{ai,llms}/**/*.ts : include relevant context in log messages for llm-relat...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Include relevant context in log messages for LLM-related code.

Applied to files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
  • apps/web/utils/cold-email/is-cold-email.ts
📚 Learning: applies to apps/web/utils/{ai,llms}/**/*.ts : format data consistently across similar llm-related fu...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Format data consistently across similar LLM-related functions.

Applied to files:

  • apps/web/utils/ai/reply/generate-nudge.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
  • apps/web/utils/cold-email/is-cold-email.ts
📚 Learning: applies to apps/web/__tests__/**/*.test.ts : test both ai and non-ai paths in llm-related tests...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm-test.mdc:0-0
Timestamp: 2025-07-18T15:06:10.570Z
Learning: Applies to apps/web/__tests__/**/*.test.ts : Test both AI and non-AI paths in LLM-related tests

Applied to files:

  • apps/web/utils/actions/cold-email.ts
  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
  • apps/web/utils/cold-email/is-cold-email.ts
📚 Learning: applies to apps/web/__tests__/**/*.test.ts : use descriptive console.debug statements for generated ...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm-test.mdc:0-0
Timestamp: 2025-07-18T15:06:10.570Z
Learning: Applies to apps/web/__tests__/**/*.test.ts : Use descriptive console.debug statements for generated content in LLM-related tests

Applied to files:

  • apps/web/utils/actions/cold-email.ts
📚 Learning: applies to apps/web/utils/actions/*.ts : use `actionclient` when both authenticated user context and...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/server-actions.mdc:0-0
Timestamp: 2025-07-18T17:27:58.249Z
Learning: Applies to apps/web/utils/actions/*.ts : Use `actionClient` when both authenticated user context and a specific `emailAccountId` are needed. The `emailAccountId` must be bound when calling the action from the client.

Applied to files:

  • apps/web/utils/actions/cold-email.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/cold-email/is-cold-email.ts
📚 Learning: applies to apps/web/__tests__/**/*.test.ts : always create helper functions for common test data in ...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm-test.mdc:0-0
Timestamp: 2025-07-18T15:06:10.570Z
Learning: Applies to apps/web/__tests__/**/*.test.ts : Always create helper functions for common test data in LLM-related tests

Applied to files:

  • apps/web/utils/actions/cold-email.ts
  • apps/web/utils/cold-email/is-cold-email.ts
📚 Learning: applies to apps/web/__tests__/**/*.test.ts : include standard test cases: happy path, error handling...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm-test.mdc:0-0
Timestamp: 2025-07-18T15:06:10.570Z
Learning: Applies to apps/web/__tests__/**/*.test.ts : Include standard test cases: happy path, error handling, edge cases (empty input, null values), different user configurations, and various input formats in LLM-related tests

Applied to files:

  • apps/web/utils/actions/cold-email.ts
  • apps/web/utils/cold-email/is-cold-email.ts
📚 Learning: applies to apps/web/__tests__/**/*.test.ts : do not mock the llm call in llm-related tests; call the...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm-test.mdc:0-0
Timestamp: 2025-07-18T15:06:10.570Z
Learning: Applies to apps/web/__tests__/**/*.test.ts : Do not mock the LLM call in LLM-related tests; call the actual LLM

Applied to files:

  • apps/web/utils/actions/cold-email.ts
📚 Learning: applies to **/*.{test,spec}.{js,jsx,ts,tsx} : don't use export or module.exports in test files....
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/ultracite.mdc:0-0
Timestamp: 2025-07-20T09:03:06.318Z
Learning: Applies to **/*.{test,spec}.{js,jsx,ts,tsx} : Don't use export or module.exports in test files.

Applied to files:

  • apps/web/utils/actions/cold-email.ts
📚 Learning: applies to apps/web/utils/actions/**/*.ts : use server actions for all mutations (create/update/dele...
Learnt from: CR
PR: elie222/inbox-zero#0
File: apps/web/CLAUDE.md:0-0
Timestamp: 2025-07-18T15:04:30.467Z
Learning: Applies to apps/web/utils/actions/**/*.ts : Use server actions for all mutations (create/update/delete operations)

Applied to files:

  • apps/web/utils/actions/cold-email.ts
📚 Learning: applies to apps/web/utils/{ai,llms}/**/*.ts : use proper error types and logging in llm-related code...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Use proper error types and logging in LLM-related code.

Applied to files:

  • apps/web/utils/ai/choose-rule/ai-choose-args.ts
  • apps/web/utils/ai/choose-rule/types.ts
  • apps/web/utils/ai/choose-rule/run-rules.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
  • apps/web/utils/cold-email/is-cold-email.ts
📚 Learning: applies to apps/web/utils/{ai,llms}/**/*.ts : always define a zod schema for response validation in ...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Always define a Zod schema for response validation in LLM-related functions.

Applied to files:

  • apps/web/utils/ai/choose-rule/types.ts
  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
📚 Learning: applies to apps/web/app/api/**/route.ts : export response types from get api routes for type-safe cl...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/fullstack-workflow.mdc:0-0
Timestamp: 2025-07-18T15:05:16.146Z
Learning: Applies to apps/web/app/api/**/route.ts : Export response types from GET API routes for type-safe client usage.

Applied to files:

  • apps/web/utils/ai/choose-rule/types.ts
📚 Learning: applies to apps/web/utils/actions/**/*.ts : use zod schemas for validation on both client and server...
Learnt from: CR
PR: elie222/inbox-zero#0
File: apps/web/CLAUDE.md:0-0
Timestamp: 2025-07-18T15:04:30.467Z
Learning: Applies to apps/web/utils/actions/**/*.ts : Use Zod schemas for validation on both client and server

Applied to files:

  • apps/web/utils/ai/choose-rule/choose-args.ts
📚 Learning: applies to apps/web/utils/actions/*.validation.ts : define zod schemas for validation in dedicated f...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/fullstack-workflow.mdc:0-0
Timestamp: 2025-07-18T15:05:16.146Z
Learning: Applies to apps/web/utils/actions/*.validation.ts : Define Zod schemas for validation in dedicated files and use them for both client and server validation.

Applied to files:

  • apps/web/utils/ai/choose-rule/choose-args.ts
📚 Learning: applies to apps/web/utils/actions/*.validation.ts : define input validation schemas using zod in the...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/server-actions.mdc:0-0
Timestamp: 2025-07-18T17:27:58.249Z
Learning: Applies to apps/web/utils/actions/*.validation.ts : Define input validation schemas using Zod in the corresponding `.validation.ts` file. These schemas are used by `next-safe-action` (`.schema()`) and can also be reused on the client for form validation.

Applied to files:

  • apps/web/utils/ai/choose-rule/choose-args.ts
📚 Learning: the `utils` folder also contains core app logic such as next.js server actions and gmail api request...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/utilities.mdc:0-0
Timestamp: 2025-07-19T17:50:28.270Z
Learning: The `utils` folder also contains core app logic such as Next.js Server Actions and Gmail API requests.

Applied to files:

  • apps/web/utils/ai/choose-rule/choose-args.ts
📚 Learning: applies to apps/web/utils/llms/model.ts : model definitions and configurations must be placed in uti...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/llms/model.ts : Model definitions and configurations must be placed in utils/llms/model.ts.

Applied to files:

  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
📚 Learning: applies to apps/web/app/api/**/*.{ts,js} : request bodies in api routes should use zod schemas for v...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/security-audit.mdc:0-0
Timestamp: 2025-07-20T09:00:41.968Z
Learning: Applies to apps/web/app/api/**/*.{ts,js} : Request bodies in API routes should use Zod schemas for validation.

Applied to files:

  • apps/web/utils/ai/choose-rule/choose-args.ts
📚 Learning: applies to apps/web/utils/actions/*.ts : access necessary context (like `userid`, `emailaccountid`, ...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/server-actions.mdc:0-0
Timestamp: 2025-07-18T17:27:58.249Z
Learning: Applies to apps/web/utils/actions/*.ts : Access necessary context (like `userId`, `emailAccountId`, etc.) provided by the safe action client via the `ctx` object in the `.action()` handler.

Applied to files:

  • apps/web/utils/ai/choose-rule/choose-args.ts
📚 Learning: applies to apps/web/app/api/**/route.ts : use `withemailaccount` for email-account-level operations...
Learnt from: CR
PR: elie222/inbox-zero#0
File: apps/web/CLAUDE.md:0-0
Timestamp: 2025-07-18T15:04:30.467Z
Learning: Applies to apps/web/app/api/**/route.ts : Use `withEmailAccount` for email-account-level operations

Applied to files:

  • apps/web/utils/ai/choose-rule/choose-args.ts
  • apps/web/utils/cold-email/is-cold-email.ts
📚 Learning: applies to apps/web/utils/{ai,llms}/**/*.ts : use xml-like tags to structure data in llm prompts....
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Use XML-like tags to structure data in LLM prompts.

Applied to files:

  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
📚 Learning: applies to apps/web/utils/{ai,llms}/**/*.ts : extract common patterns into utility functions in llm-...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Extract common patterns into utility functions in LLM-related code.

Applied to files:

  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
📚 Learning: applies to apps/web/utils/{ai,llms}/**/*.ts : define clear interfaces for complex input/output struc...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Define clear interfaces for complex input/output structures in LLM-related code.

Applied to files:

  • apps/web/utils/ai/choose-rule/ai-choose-rule.ts
  • apps/web/utils/ai/choose-rule/match-rules.ts
📚 Learning: applies to apps/web/utils/{ai,llms}/**/*.ts : implement early returns for invalid inputs in llm-rela...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm.mdc:0-0
Timestamp: 2025-07-18T15:06:40.272Z
Learning: Applies to apps/web/utils/{ai,llms}/**/*.ts : Implement early returns for invalid inputs in LLM-related functions.

Applied to files:

  • apps/web/utils/ai/choose-rule/match-rules.ts
📚 Learning: applies to apps/web/utils/gmail/**/*.ts : keep provider-specific implementation details isolated in ...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/gmail-api.mdc:0-0
Timestamp: 2025-07-18T15:05:34.899Z
Learning: Applies to apps/web/utils/gmail/**/*.ts : Keep provider-specific implementation details isolated in the appropriate utils subfolder (e.g., 'apps/web/utils/gmail/')

Applied to files:

  • apps/web/utils/cold-email/is-cold-email.ts
📚 Learning: run ai tests with: pnpm test-ai your-feature...
Learnt from: CR
PR: elie222/inbox-zero#0
File: .cursor/rules/llm-test.mdc:0-0
Timestamp: 2025-07-18T15:06:10.570Z
Learning: Run AI tests with: pnpm test-ai your-feature

Applied to files:

  • apps/web/utils/cold-email/is-cold-email.ts
🪛 GitHub Check: test
apps/web/utils/ai/choose-rule/ai-choose-rule.ts

[failure] 7-7: utils/middleware.test.ts
Error: Cannot find package '@/utils/ai/choose-rule/stringify-email' imported from '/home/runner/work/inbox-zero/inbox-zero/apps/web/utils/ai/choose-rule/ai-choose-rule.ts'
❯ utils/ai/choose-rule/ai-choose-rule.ts:7:1

⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯
Serialized Error: { code: 'ERR_MODULE_NOT_FOUND' }
Caused by: Error: Failed to load url @/utils/ai/choose-rule/stringify-email (resolved id: @/utils/ai/choose-rule/stringify-email) in /home/runner/work/inbox-zero/inbox-zero/apps/web/utils/ai/choose-rule/ai-choose-rule.ts. Does the file exist?
❯ loadAndTransform ../../node_modules/.pnpm/vite@6.3.5_@types+node@22.15.29_jiti@2.4.2/node_modules/vite/dist/node/chunks/dep-DBxKXgDP.js:35725:17


[failure] 7-7: tests/ai-choose-rule.test.ts
Error: Cannot find package '@/utils/ai/choose-rule/stringify-email' imported from '/home/runner/work/inbox-zero/inbox-zero/apps/web/utils/ai/choose-rule/ai-choose-rule.ts'
❯ utils/ai/choose-rule/ai-choose-rule.ts:7:1

⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯
Serialized Error: { code: 'ERR_MODULE_NOT_FOUND' }
Caused by: Caused by: Error: Failed to load url @/utils/ai/choose-rule/stringify-email (resolved id: @/utils/ai/choose-rule/stringify-email) in /home/runner/work/inbox-zero/inbox-zero/apps/web/utils/ai/choose-rule/ai-choose-rule.ts. Does the file exist?
❯ loadAndTransform ../../node_modules/.pnpm/vite@6.3.5_@types+node@22.15.29_jiti@2.4.2/node_modules/vite/dist/node/chunks/dep-DBxKXgDP.js:35725:17

🪛 GitHub Actions: Run Tests
apps/web/utils/ai/choose-rule/ai-choose-rule.ts

[error] 7-7: Cannot find package '@/utils/ai/choose-rule/stringify-email' imported from this file. The file does not exist or path is incorrect.

⏰ 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: Analyze (javascript-typescript)
🔇 Additional comments (15)
apps/web/utils/actions/cold-email.ts (1)

156-156: LGTM! Clean test flag addition.

The explicit isTest: true parameter clearly marks this as a test scenario and enables appropriate AI model selection downstream.

apps/web/utils/ai/reply/generate-nudge.ts (1)

44-44: LGTM! Appropriate model selection for user-facing AI generation.

Using "chat" model type for nudge generation aligns with the PR objective of using faster models for user-initiated actions, since nudges are user-facing content that benefits from quick response times.

apps/web/utils/ai/choose-rule/types.ts (1)

44-48: LGTM! Well-structured response type.

The new MatchRuleResponse type is properly defined with appropriate optional properties for different matching scenarios. The separation from MatchingRuleResult provides clear type distinctions for different use cases.

apps/web/utils/ai/choose-rule/run-rules.ts (2)

49-57: LGTM! Proper model type selection based on execution context.

The conditional model selection logic correctly implements the PR objective: using "chat" model for user-initiated test runs (faster response) and "default" model for background processing. The clear comments enhance maintainability.


99-108: LGTM! Consistent model type propagation.

The model type selection and propagation to getActionItemsWithAiArgs maintains consistency with the earlier rule matching logic. This ensures the same model type is used throughout the rule execution pipeline.

apps/web/utils/ai/choose-rule/choose-args.ts (2)

4-4: LGTM! Proper type import addition.

The ModelType import follows TypeScript best practices using import type for type-only imports.


30-42: LGTM! Clean implementation of modelType parameter.

The function signature correctly adds the optional modelType parameter and properly propagates it to the aiGenerateArgs call. The implementation maintains backward compatibility while enabling AI model selection flexibility.

Also applies to: 74-74

apps/web/utils/ai/choose-rule/ai-choose-rule.ts (1)

1-11: Good improvements pending import fix.

The changes show good improvements:

  • Proper import organization with type imports first
  • Consistent ModelType parameter pattern
  • Enhanced schema with descriptive annotations
  • Better usage labeling

However, these cannot be fully validated until the broken import is resolved.

Also applies to: 21-21, 25-25, 88-104

apps/web/utils/cold-email/is-cold-email.ts (3)

21-31: LGTM! Clean parameter addition for model selection.

Both functions properly add the optional isTest parameter with appropriate defaults and typing. The implementation maintains backward compatibility while enabling different AI model selection for test scenarios.

Also applies to: 88-98


174-178: LGTM! Proper implementation of conditional model selection.

The aiIsColdEmail function correctly uses the isTest parameter to conditionally select between "chat" and "default" model types. This implementation supports the PR objective of using faster models for user-initiated actions.

Also applies to: 216-216


73-73: LGTM! Consistent parameter propagation.

Both function calls correctly propagate the isTest parameter to the aiIsColdEmail function, maintaining consistency in the call chain.

Also applies to: 140-140

apps/web/utils/ai/choose-rule/match-rules.ts (4)

21-21: LGTM! Proper import additions.

The ModelType and MatchRuleResponse type imports are correctly structured and support the enhanced functionality.

Also applies to: 26-26


203-228: LGTM! Well-structured function refactoring.

The function improvements are excellent:

  • Clear ModelType parameter addition following established patterns
  • Helpful trace logging for debugging rule matching
  • Efficient early return for thread replies
  • Proper return type with MatchRuleResponse

The refactoring simplifies the code structure while maintaining all functionality.


240-256: LGTM! Clean AI integration with proper parameter propagation.

The AI rule selection logic is well-implemented:

  • Correctly passes the modelType parameter to aiChooseRule
  • Clear response handling and structured return
  • Proper integration with the overall matching flow

The refactoring eliminates the nested function while maintaining clear logic flow.


237-237: LGTM! Comprehensive return logic handling.

The return logic properly handles all matching scenarios with appropriate reasons and structured responses. The fallback case ensures a consistent return type in all paths.

Also applies to: 257-257

@elie222 elie222 force-pushed the cursor/switch-to-chat-model-for-user-actions-4934 branch from a74f4d3 to def4947 Compare August 3, 2025 17:26
@elie222 elie222 changed the title WIP: Switch to fast model for user actions Switch to fast model for user actions Aug 3, 2025
@elie222
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elie222 commented Aug 3, 2025

  1. Will upgrade to AI SDK v5 before merging this.
  2. Was also seeing lots of JSON errors in testing. Need to fix before going live.

@claude
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claude bot commented Aug 6, 2025

Claude finished @elie222's task —— View job


Code Review: Switch to fast model for user actions

Review Tasks

  • Read and understand the PR changes
  • Analyze code quality and implementation patterns
  • Check for bugs and issues
  • Evaluate performance considerations
  • Review security implications
  • Provide comprehensive feedback

Summary

This PR adds a modelType parameter throughout the AI-related utilities to enable selection between "chat" (fast) and "default" models. The goal is to use faster models for user-initiated actions while retaining default models for background operations.

🐛 Critical Issues

1. Import Path Error (Already Fixed)

Fixed: The import path @/utils/ai/choose-rule/stringify-email has been corrected to @/utils/stringify-email in ai-choose-rule.ts:7

2. Undefined Variable in ai-choose-args.ts (Critical)

Line 85: modelType is used but not defined in the function scope.

// Missing modelType parameter in function signature
export async function aiGenerateArgs({
  // ... other params
  modelType, // ← This is referenced but not in the parameter type
}: {
  // ... 
  modelType: ModelType; // ← Missing from type definition
})

Impact: Runtime error when this function is called

3. Logic Error in Cold Email Model Selection

File: utils/cold-email/is-cold-email.ts:217

modelType: modelType ? "chat" : "default",

Issue: This logic is inverted. When modelType is provided (truthy), it should use that value, not hardcode "chat".
Fix: Should be modelType: modelType || "default"

🔍 Code Quality Issues

1. Inconsistent Parameter Handling

  • Some functions use isTest boolean to determine model type
  • Others use modelType directly
  • Consider standardizing the approach

2. Missing Type Safety

Several functions have optional modelType parameters without proper defaults:

// Better to have explicit defaults
modelType: ModelType = "default"

3. Unclear Model Selection Logic

The logic for when to use "chat" vs "default" could be more explicit:

// In run-rules.ts:49-57 - Good example of clear logic
const modelType: ModelType = isTest ? "chat" : "default";

🚀 Performance Considerations

Positive Impacts

Faster user responses: Using "chat" model for user-initiated actions will improve UX
Appropriate model selection: Background tasks use "default" model for better accuracy

Potential Issues

⚠️ Model switching overhead: Ensure model selection doesn't add significant latency
⚠️ Rate limiting: Different models may have different rate limits

🔒 Security Assessment

No security concerns identified:

  • Model type selection is properly controlled
  • No sensitive data exposure
  • Proper input validation maintained

📊 Architecture Assessment

Strengths

Consistent propagation: ModelType parameter flows properly through the call stack
Clear separation: User actions vs background operations distinction
Backwards compatibility: Optional parameters maintain compatibility

Areas for Improvement

🔄 Consider configuration: Model selection could be more configurable
🔄 Logging: Add more logging around model selection for debugging

🎯 Recommendations

High Priority (Must Fix)

  1. Fix undefined modelType variable in ai-choose-args.ts:85
  2. Fix inverted logic in is-cold-email.ts:217

Medium Priority

  1. Standardize model selection logic across functions
  2. Add more explicit defaults for optional modelType parameters
  3. Consider adding model selection logging for better observability

Low Priority

  1. Add configuration options for model selection per use case
  2. Document model selection strategy in code comments

📝 Specific Code Suggestions

ai-choose-args.ts

export async function aiGenerateArgs({
  email,
  emailAccount,
  selectedRule,
  parameters,
  modelType = "default", // Add explicit default
}: {
  email: EmailForLLM;
  emailAccount: EmailAccountWithAI;
  selectedRule: RuleWithActions;
  parameters: /* ... */;
  modelType?: ModelType; // Make optional with default
})

is-cold-email.ts

// Fix the logic error
modelType: modelType || "default"

🏁 Conclusion

The PR implements a solid architecture for model type selection with clear benefits for user experience. However, there are critical bugs that must be fixed before merging:

  1. Runtime error risk from undefined variable
  2. Logic error in model selection

Once these issues are resolved, this will be a valuable improvement that appropriately balances speed vs accuracy based on the context of AI usage.

Overall Assessment: ⚠️ Needs fixes before merge - Good concept, critical implementation issues


@claude
Copy link

claude bot commented Aug 6, 2025

Claude finished @elie222's task —— View job


Claude Code Review: Switch to fast model for user actions

Review Tasks

  • Read and understand the PR changes
  • Analyze code quality and implementation patterns
  • Check for bugs and issues
  • Evaluate performance considerations
  • Review security implications
  • Provide comprehensive feedback

Summary

This PR adds a modelType parameter throughout the AI-related utilities to enable selection between "chat" (fast) and "default" models. The goal is to use faster models for user-initiated actions while retaining default models for background operations.

🐛 Critical Issues

1. Import Path Error (Already Fixed)

Fixed: The import path @/utils/ai/choose-rule/stringify-email has been corrected to @/utils/stringify-email in ai-choose-rule.ts:7

2. Undefined Variable in ai-choose-args.ts (Critical)

Line 85: modelType is used but not defined in the function scope.

// Missing modelType parameter in function signature
export async function aiGenerateArgs({
  // ... other params
  modelType, // ← This is referenced but not in the parameter type
}: {
  // ... 
  modelType: ModelType; // ← Missing from type definition
})

Impact: Runtime error when this function is called

3. Logic Error in Cold Email Model Selection

File: utils/cold-email/is-cold-email.ts:217

modelType: modelType ? "chat" : "default",

Issue: This logic is inverted. When modelType is provided (truthy), it should use that value, not hardcode "chat".
Fix: Should be modelType: modelType || "default"

🔍 Code Quality Issues

1. Inconsistent Parameter Handling

  • Some functions use isTest boolean to determine model type
  • Others use modelType directly
  • Consider standardizing the approach

2. Missing Type Safety

Several functions have optional modelType parameters without proper defaults:

// Better to have explicit defaults
modelType: ModelType = "default"

3. Unclear Model Selection Logic

The logic for when to use "chat" vs "default" could be more explicit:

// In run-rules.ts:49-57 - Good example of clear logic
const modelType: ModelType = isTest ? "chat" : "default";

🚀 Performance Considerations

Positive Impacts

Faster user responses: Using "chat" model for user-initiated actions will improve UX
Appropriate model selection: Background tasks use "default" model for better accuracy

Potential Issues

⚠️ Model switching overhead: Ensure model selection doesn't add significant latency
⚠️ Rate limiting: Different models may have different rate limits

🔒 Security Assessment

No security concerns identified:

  • Model type selection is properly controlled
  • No sensitive data exposure
  • Proper input validation maintained

📊 Architecture Assessment

Strengths

Consistent propagation: ModelType parameter flows properly through the call stack
Clear separation: User actions vs background operations distinction
Backwards compatibility: Optional parameters maintain compatibility

Areas for Improvement

🔄 Consider configuration: Model selection could be more configurable
🔄 Logging: Add more logging around model selection for debugging

🎯 Recommendations

High Priority (Must Fix)

  1. Fix undefined modelType variable in ai-choose-args.ts:85
  2. Fix inverted logic in is-cold-email.ts:217

Medium Priority

  1. Standardize model selection logic across functions
  2. Add more explicit defaults for optional modelType parameters
  3. Consider adding model selection logging for better observability

Low Priority

  1. Add configuration options for model selection per use case
  2. Document model selection strategy in code comments

📝 Specific Code Suggestions

ai-choose-args.ts

export async function aiGenerateArgs({
  email,
  emailAccount,
  selectedRule,
  parameters,
  modelType = "default", // Add explicit default
}: {
  email: EmailForLLM;
  emailAccount: EmailAccountWithAI;
  selectedRule: RuleWithActions;
  parameters: /* ... */;
  modelType?: ModelType; // Make optional with default
})

is-cold-email.ts

// Fix the logic error
modelType: modelType || "default"

🏁 Conclusion

The PR implements a solid architecture for model type selection with clear benefits for user experience. However, there are critical bugs that must be fixed before merging:

  1. Runtime error risk from undefined variable
  2. Logic error in model selection

Once these issues are resolved, this will be a valuable improvement that appropriately balances speed vs accuracy based on the context of AI usage.

Overall Assessment: ⚠️ Needs fixes before merge - Good concept, critical implementation issues


@elie222 elie222 merged commit 4d80009 into main Aug 6, 2025
5 of 6 checks passed
@elie222 elie222 deleted the cursor/switch-to-chat-model-for-user-actions-4934 branch August 6, 2025 11:00
@claude
Copy link

claude bot commented Aug 6, 2025

Claude finished @elie222's task —— View job


Claude Code Review: Switch to fast model for user actions

Review Tasks

  • Read and understand the PR changes
  • Analyze code quality and implementation patterns
  • Check for bugs and issues
  • Evaluate performance considerations
  • Review security implications
  • Provide comprehensive feedback

Summary

This PR adds a modelType parameter throughout the AI-related utilities to enable selection between "chat" (fast) and "default" models. The goal is to use faster models for user-initiated actions while retaining default models for background operations.

🐛 Critical Issues

1. Import Path Error (Already Fixed)

Fixed: The import path @/utils/ai/choose-rule/stringify-email has been corrected to @/utils/stringify-email in ai-choose-rule.ts:7

2. Undefined Variable in ai-choose-args.ts (Critical)

Line 85: modelType is used but not defined in the function scope.

// Missing modelType parameter in function signature
export async function aiGenerateArgs({
  // ... other params
  modelType, // ← This is referenced but not in the parameter type
}: {
  // ... 
  modelType: ModelType; // ← Missing from type definition
})

Impact: Runtime error when this function is called

3. Logic Error in Cold Email Model Selection

File: utils/cold-email/is-cold-email.ts:217

modelType: modelType ? "chat" : "default",

Issue: This logic is inverted. When modelType is provided (truthy), it should use that value, not hardcode "chat".
Fix: Should be modelType: modelType || "default"

🔍 Code Quality Issues

1. Inconsistent Parameter Handling

  • Some functions use isTest boolean to determine model type
  • Others use modelType directly
  • Consider standardizing the approach

2. Missing Type Safety

Several functions have optional modelType parameters without proper defaults:

// Better to have explicit defaults
modelType: ModelType = "default"

3. Unclear Model Selection Logic

The logic for when to use "chat" vs "default" could be more explicit:

// In run-rules.ts:49-57 - Good example of clear logic
const modelType: ModelType = isTest ? "chat" : "default";

🚀 Performance Considerations

Positive Impacts

Faster user responses: Using "chat" model for user-initiated actions will improve UX
Appropriate model selection: Background tasks use "default" model for better accuracy

Potential Issues

⚠️ Model switching overhead: Ensure model selection doesn't add significant latency
⚠️ Rate limiting: Different models may have different rate limits

🔒 Security Assessment

No security concerns identified:

  • Model type selection is properly controlled
  • No sensitive data exposure
  • Proper input validation maintained

📊 Architecture Assessment

Strengths

Consistent propagation: ModelType parameter flows properly through the call stack
Clear separation: User actions vs background operations distinction
Backwards compatibility: Optional parameters maintain compatibility

Areas for Improvement

🔄 Consider configuration: Model selection could be more configurable
🔄 Logging: Add more logging around model selection for debugging

🎯 Recommendations

High Priority (Must Fix)

  1. Fix undefined modelType variable in ai-choose-args.ts:85
  2. Fix inverted logic in is-cold-email.ts:217

Medium Priority

  1. Standardize model selection logic across functions
  2. Add more explicit defaults for optional modelType parameters
  3. Consider adding model selection logging for better observability

Low Priority

  1. Add configuration options for model selection per use case
  2. Document model selection strategy in code comments

📝 Specific Code Suggestions

ai-choose-args.ts

export async function aiGenerateArgs({
  email,
  emailAccount,
  selectedRule,
  parameters,
  modelType = "default", // Add explicit default
}: {
  email: EmailForLLM;
  emailAccount: EmailAccountWithAI;
  selectedRule: RuleWithActions;
  parameters: /* ... */;
  modelType?: ModelType; // Make optional with default
})

is-cold-email.ts

// Fix the logic error
modelType: modelType || "default"

🏁 Conclusion

The PR implements a solid architecture for model type selection with clear benefits for user experience. However, there are critical bugs that must be fixed before merging:

  1. Runtime error risk from undefined variable
  2. Logic error in model selection

Once these issues are resolved, this will be a valuable improvement that appropriately balances speed vs accuracy based on the context of AI usage.

Overall Assessment: ⚠️ Needs fixes before merge - Good concept, critical implementation issues


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