Move getAdjustedTokenCountFromModel from CLI to core

[RomneyDa]

Summary

This PR moves the getAdjustedTokenCountFromModel function from the CLI tokenizer to core/llm/countTokens.ts and integrates it with core's token counting logic.

Changes

• Moved function: Extracted getAdjustedTokenCountFromModel from CLI to core
• Integration: Updated core's countTokens() to apply model-specific multipliers
• Tests: Added comprehensive test suite for the function in core
• CLI Update: Updated CLI tokenizer to import from core instead of duplicating code
• Cleanup: Removed duplicate constants and implementation from CLI

Why?

• DRY: Eliminates code duplication between CLI and core
• Consistency: Ensures token counting uses the same multipliers everywhere
• Maintainability: Single source of truth for token adjustment logic
• Better coverage: The llama tokenizer (~= gpt tokenizer) now applies safety multipliers in core as well

Model Multipliers

The function applies these multipliers based on empirical data:

• Claude: 1.23x (Anthropic tokenizer produces ~23% more tokens)
• Gemini: 1.18x (Gemini tokenizer produces ~18% more tokens)
• Mistral family: 1.26x (includes mistral, mixtral, devstral, codestral)

Testing

Added unit tests covering:

• Base cases (no multiplier)
• All model-specific multipliers
• Edge cases (zero tokens, undefined model names)
• Case-insensitivity

Breaking Changes

None - this is backward compatible. The function signature changed slightly (takes model name string instead of ModelConfig) but all call sites have been updated.

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Continue Tasks: ▶️ 2 queued · ✅ 2 no changes — View all

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Summary by cubic

Moves getAdjustedTokenCountFromModel to core and applies model-specific multipliers inside core token counting. This unifies token estimates across core and CLI.

• Refactors
  • Centralized getAdjustedTokenCountFromModel in core/llm/getAdjustedTokenCount.ts and integrated it into countTokens().
  • Applied model multipliers: Claude 1.23x, Gemini 1.18x, Mistral family 1.26x.
  • CLI now imports from core; removed duplicate logic and constants.
  • Added unit tests for multipliers and edge cases. No breaking changes.

^{Written for commit 318cb66. Summary will update on new commits.}

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[cubic-dev-ai]

2 issues found across 3 files

Prompt for AI agents (all issues)

Check if these issues are valid — if so, understand the root cause of each and fix them.


<file name="extensions/cli/src/util/tokenizer.ts">

<violation number="1" location="extensions/cli/src/util/tokenizer.ts:3">
P2: CLI now imports getAdjustedTokenCountFromModel from core/llm/countTokens.js, which pulls in heavy tokenizer dependencies at module load time, likely regressing CLI startup/memory for a simple multiplier helper.</violation>
</file>

<file name="core/llm/countTokens.ts">

<violation number="1" location="core/llm/countTokens.ts:166">
P2: countTokensAsync does not apply model-specific token multipliers, so async token counts can be lower than countTokens for Claude/Gemini/Mistral models, affecting limit checks like readFileLimit.</violation>
</file>

_{Reply with feedback, questions, or to request a fix. Tag @cubic-dev-ai to re-run a review.}

[cubic-dev-ai]

1 issue found across 1 file (changes from recent commits).

Prompt for AI agents (all issues)

Check if these issues are valid — if so, understand the root cause of each and fix them.


<file name="core/llm/getAdjustedTokenCount.ts">

<violation number="1" location="core/llm/getAdjustedTokenCount.ts:31">
P2: Regression: Mistral-family models like “Ministral”/“Mathstral” no longer match the multiplier because the broad `includes("stral")` check was replaced with a strict allowlist.</violation>
</file>

_{Reply with feedback, questions, or to request a fix. Tag @cubic-dev-ai to re-run a review.}