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* fix(vscode-ide-companion): avoid pulling Node.js modules into webview bundle - Add wildcard to esbuild external config to exclude deep sub-path imports - Inline isSupportedImageMimeType to remove core package dependency - Create browser-safe tokenLimits.ts to avoid dynamic require at runtime - Update App.tsx to use local tokenLimits module Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com> * chore(vscode-ide-companion): bump version to 0.14.2 Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com> --------- Co-authored-by: Qwen-Coder <qwen-coder@alibabacloud.com>
196 lines
5.4 KiB
TypeScript
196 lines
5.4 KiB
TypeScript
/**
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* @license
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* Copyright 2025 Qwen Team
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* SPDX-License-Identifier: Apache-2.0
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*/
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/**
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* Browser-safe subset of @qwen-code/qwen-code-core tokenLimits.
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*
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* The webview bundle (IIFE, platform: browser) cannot `require` Node.js
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* packages. This module replicates the constants and logic the webview
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* actually uses so that the core package never needs to be pulled into the
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* browser bundle.
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*
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* Keep this file in sync with:
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* packages/core/src/core/tokenLimits.ts
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*/
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type TokenCount = number;
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// ---------------------------------------------------------------------------
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// Public constants
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// ---------------------------------------------------------------------------
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/** Default input context window size: 128 K tokens (power-of-two). */
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export const DEFAULT_TOKEN_LIMIT: TokenCount = 131_072;
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// ---------------------------------------------------------------------------
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// Token limit types
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// ---------------------------------------------------------------------------
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export type TokenLimitType = 'input' | 'output';
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// ---------------------------------------------------------------------------
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// Internal constants
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// ---------------------------------------------------------------------------
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const LIMITS = {
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'32k': 32_768,
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'64k': 65_536,
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'128k': 131_072,
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'192k': 196_608,
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'200k': 200_000,
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'256k': 262_144,
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'272k': 272_000,
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'400k': 400_000,
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'512k': 524_288,
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'1m': 1_000_000,
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'4k': 4_096,
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'8k': 8_192,
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'16k': 16_384,
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} as const;
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const DEFAULT_OUTPUT_TOKEN_LIMIT: TokenCount = 32_000;
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// ---------------------------------------------------------------------------
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// Model name normaliser
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// ---------------------------------------------------------------------------
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/**
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* Robust normaliser: strips provider prefixes, pipes/colons, date/version
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* suffixes, quantisation markers, etc.
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* @param model - Raw model identifier string
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* @returns Normalised lowercase model name
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*/
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function normalize(model: string): string {
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let s = (model ?? '').toLowerCase().trim();
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s = s.replace(/^.*\//, '');
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s = s.split('|').pop() ?? s;
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s = s.split(':').pop() ?? s;
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s = s.replace(/\s+/g, '-');
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s = s.replace(/-preview/g, '');
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if (
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!s.match(/^qwen-(?:plus|flash|vl-max)-latest$/) &&
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!s.match(/^kimi-k2-\d{4}$/)
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) {
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s = s.replace(
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/-(?:\d{4,}|\d+x\d+b|v\d+(?:\.\d+)*|(?<=-[^-]+-)\d+(?:\.\d+)+|latest|exp)$/g,
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'',
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);
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}
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s = s.replace(/-(?:\d?bit|int[48]|bf16|fp16|q[45]|quantized)$/g, '');
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return s;
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}
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// ---------------------------------------------------------------------------
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// Input context-window patterns (most specific → most general)
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// ---------------------------------------------------------------------------
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const INPUT_PATTERNS: Array<[RegExp, TokenCount]> = [
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// Google Gemini
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[/^gemini-3/, LIMITS['1m']],
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[/^gemini-/, LIMITS['1m']],
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// OpenAI
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[/^gpt-5/, LIMITS['272k']],
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[/^gpt-/, LIMITS['128k']],
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[/^o\d/, LIMITS['200k']],
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// Anthropic Claude
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[/^claude-/, LIMITS['200k']],
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// Alibaba / Qwen
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[/^qwen3-coder-plus/, LIMITS['1m']],
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[/^qwen3-coder-flash/, LIMITS['1m']],
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[/^qwen3\.\d/, LIMITS['1m']],
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[/^qwen-plus-latest$/, LIMITS['1m']],
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[/^qwen-flash-latest$/, LIMITS['1m']],
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[/^coder-model$/, LIMITS['1m']],
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[/^qwen3-max/, LIMITS['256k']],
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[/^qwen3-coder-/, LIMITS['256k']],
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[/^qwen/, LIMITS['256k']],
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// DeepSeek
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[/^deepseek/, LIMITS['128k']],
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// Zhipu GLM
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[/^glm-5/, 202_752 as TokenCount],
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[/^glm-/, 202_752 as TokenCount],
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// MiniMax
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[/^minimax-m2\.5/i, LIMITS['192k']],
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[/^minimax-/i, LIMITS['200k']],
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// Moonshot / Kimi
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[/^kimi-/, LIMITS['256k']],
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// ByteDance Seed-OSS
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[/^seed-oss/, LIMITS['512k']],
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];
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// ---------------------------------------------------------------------------
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// Output token-limit patterns
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// ---------------------------------------------------------------------------
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const OUTPUT_PATTERNS: Array<[RegExp, TokenCount]> = [
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[/^gemini-3/, LIMITS['64k']],
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[/^gemini-/, LIMITS['8k']],
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[/^gpt-5/, LIMITS['128k']],
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[/^gpt-/, LIMITS['16k']],
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[/^o\d/, LIMITS['128k']],
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[/^claude-opus-4-6/, LIMITS['128k']],
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[/^claude-sonnet-4-6/, LIMITS['64k']],
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[/^claude-/, LIMITS['64k']],
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[/^qwen3\.\d/, LIMITS['64k']],
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[/^coder-model$/, LIMITS['64k']],
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[/^qwen/, LIMITS['32k']],
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[/^deepseek-reasoner/, LIMITS['64k']],
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[/^deepseek-r1/, LIMITS['64k']],
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[/^deepseek-chat/, LIMITS['8k']],
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[/^glm-5/, LIMITS['16k']],
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[/^glm-4\.7/, LIMITS['16k']],
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[/^minimax-m2\.5/i, LIMITS['64k']],
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[/^kimi-k2\.5/, LIMITS['32k']],
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];
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// ---------------------------------------------------------------------------
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// Public API
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// ---------------------------------------------------------------------------
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/**
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* Return the token limit for a given model name.
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*
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* This is a browser-safe mirror of `tokenLimit()` in
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* `@qwen-code/qwen-code-core`. The webview only calls this as a fallback
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* when `modelInfo._meta.contextLimit` is unavailable.
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*
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* @param model - The model identifier string
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* @param type - 'input' for context window, 'output' for generation limit
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* @returns Maximum token count for the model and type
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*/
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export function tokenLimit(
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model: string,
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type: TokenLimitType = 'input',
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): TokenCount {
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const norm = normalize(model);
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const patterns = type === 'output' ? OUTPUT_PATTERNS : INPUT_PATTERNS;
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for (const [regex, limit] of patterns) {
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if (regex.test(norm)) {
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return limit;
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}
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}
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return type === 'output' ? DEFAULT_OUTPUT_TOKEN_LIMIT : DEFAULT_TOKEN_LIMIT;
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}
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